diff --git a/.coveragerc b/.coveragerc index d5127a71c..613a23c23 100644 --- a/.coveragerc +++ b/.coveragerc @@ -1,12 +1,15 @@ # .coveragerc to control coverage.py [run] branch = True -source = datajunction -# omit = bad_file.py +source = dj +omit = + */dj/sql/parsing/backends/grammar/generated/* + */dj/sql/parsing/backends/antlr4.py + */dj/sql/parsing/ast.py [paths] source = - src/ + dj/ */site-packages/ [report] @@ -26,3 +29,5 @@ exclude_lines = # Don't complain if non-runnable code isn't run: if 0: if __name__ == .__main__.: + + if TYPE_CHECKING: diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 000000000..b2ecf68fd --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,15 @@ +### Summary + + + +### Test Plan + + + +- [ ] PR has an associated issue: # +- [ ] `make check` passes +- [ ] `make test` shows 100% unit test coverage + +### Deployment Plan + + diff --git a/.github/release.yml b/.github/release.yml new file mode 100644 index 000000000..40fc59ec2 --- /dev/null +++ b/.github/release.yml @@ -0,0 +1,36 @@ +# .github/release.yml +# Configuration for auto-generated release notes + +changelog: + exclude: + labels: + - ignore-for-release + - skip-changelog + - duplicate + categories: + - title: "⚠️ Breaking Changes" + labels: + - Semver-Major + - breaking-change + - title: "🚀 Features" + labels: + - Semver-Minor + - enhancement + - feature + - title: "🐛 Bug Fixes" + labels: + - bug + - bugfix + - fix + - title: "📚 Documentation" + labels: + - documentation + - docs + - title: "🧹 Maintenance" + labels: + - chore + - maintenance + - dependencies + - title: "Other Changes" + labels: + - "*" diff --git a/.github/workflows/client-integration-tests.yml b/.github/workflows/client-integration-tests.yml new file mode 100644 index 000000000..610ea8fab --- /dev/null +++ b/.github/workflows/client-integration-tests.yml @@ -0,0 +1,114 @@ +name: "Manual : Run client integration tests" +on: + schedule: + - cron: '0 12 * * *' + workflow_dispatch: +jobs: + python-client-integration: + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: ['3.10', '3.11'] + steps: + - uses: actions/checkout@v2 + - name: Build and launch DJ demo environment + uses: hoverkraft-tech/compose-action@v2.0.1 + with: + compose-file: "./docker-compose.yml" + services: | + dj + postgres_metadata + db-migration + db-seed + djqs + djqs-db-migration + djrs-redis + djrs-worker + djrs-beat + dj-trino + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + - uses: pdm-project/setup-pdm@v3 + name: Setup PDM + with: + python-version: ${{ matrix.python-version }} + architecture: x64 + prerelease: true + enable-pep582: true + - name: Install dependencies + run: | + pdm sync -d + cd ./datajunction-clients/python; pdm install -d -G pandas + - name: Python client integration tests + run: cd datajunction-clients/python && make test PYTEST_ARGS="--integration -k test_integration" + + javascript-client-integration: + runs-on: ubuntu-latest + strategy: + matrix: + node-version: [18.x] + steps: + - uses: actions/checkout@v3 + - name: Build and launch DJ demo environment + uses: hoverkraft-tech/compose-action@v2.0.1 + with: + compose-file: "./docker-compose.yml" + services: | + dj + postgres_metadata + db-migration + db-seed + djqs + djqs-db-migration + djrs-redis + djrs-worker + djrs-beat + dj-trino + - name: Use Node.js ${{ matrix.node-version }} + uses: actions/setup-node@v3 + with: + node-version: ${{ matrix.node-version }} + - name: Install Dev Dependencies + run: npm install --only=dev + working-directory: ./datajunction-clients/javascript + - name: Javascript client integration tests + run: npm test + working-directory: ./datajunction-clients/javascript + + java-client-integration: + runs-on: ubuntu-latest + strategy: + matrix: + java-version: [ 17 ] + distribution: [ 'temurin' ] + steps: + - uses: actions/checkout@v3 + - name: Build and launch DJ demo environment + uses: hoverkraft-tech/compose-action@v2.0.1 + with: + compose-file: "./docker-compose.yml" + services: | + dj + postgres_metadata + db-migration + db-seed + djqs + djqs-db-migration + djrs-redis + djrs-worker + djrs-beat + dj-trino + - name: Set up JDK ${{ matrix.java-version }} + uses: actions/setup-java@v3 + with: + java-version: ${{ matrix.java-version }} + distribution: ${{ matrix.distribution }} + - name: Build with Gradle + uses: gradle/gradle-build-action@v3 + with: + arguments: cleanTest test + build-root-directory: ./datajunction-clients/java + diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml new file mode 100644 index 000000000..564f7b16f --- /dev/null +++ b/.github/workflows/create-release.yml @@ -0,0 +1,120 @@ +name: "Create Version Bump PR" + +on: + schedule: + - cron: '0 3 * * MON' # Each Monday at 3am UTC + workflow_dispatch: + inputs: + bump: + type: choice + description: "Version bump type" + required: true + default: patch + options: + - patch + - minor + - major + +jobs: + create-pr: + runs-on: ubuntu-latest + permissions: + contents: write + pull-requests: write + + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 0 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: '3.11' + + - name: Install Hatch + run: pip install hatch + + - uses: actions/setup-node@v4 + with: + node-version: '20' + + - name: Calculate next version + id: version + working-directory: ./datajunction-server + run: | + CURRENT_VERSION=$(hatch version) + echo "Current version: $CURRENT_VERSION" + + BUMP_TYPE="${{ github.event.inputs.bump || 'patch' }}" + echo "Bump type: $BUMP_TYPE" + + # Parse current version (handles X.Y.Z and X.Y.ZaN formats) + IFS='.' read -r MAJOR MINOR PATCH <<< "${CURRENT_VERSION%%a*}" + + # Calculate new version + case $BUMP_TYPE in + major) NEW_VERSION="$((MAJOR + 1)).0.0" ;; + minor) NEW_VERSION="${MAJOR}.$((MINOR + 1)).0" ;; + patch) NEW_VERSION="${MAJOR}.${MINOR}.$((PATCH + 1))" ;; + esac + + echo "New version: $NEW_VERSION" + echo "NEW_VERSION=$NEW_VERSION" >> $GITHUB_OUTPUT + + - name: Configure Git + run: | + git config user.name "GitHub Actions Bot" + git config user.email "actions@github.com" + + - name: Create release branch and update versions + run: | + VERSION="${{ steps.version.outputs.NEW_VERSION }}" + BRANCH="release/v$VERSION" + + git checkout -b $BRANCH + + # Update Python packages + cd datajunction-server && hatch version $VERSION && cd .. + cd datajunction-query && hatch version $VERSION && cd .. + cd datajunction-reflection && hatch version $VERSION && cd .. + cd datajunction-clients/python && hatch version $VERSION && cd ../.. + + # Update JavaScript packages + cd datajunction-ui && npm version $VERSION --no-git-tag-version && cd .. + cd datajunction-clients/javascript && npm version $VERSION --no-git-tag-version && cd ../.. + + git add -A + git commit -m "Bump version to v$VERSION" + git push origin $BRANCH + + - name: Create Pull Request + run: | + VERSION="${{ steps.version.outputs.NEW_VERSION }}" + gh pr create \ + --title "Release v$VERSION" \ + --body "## Release v$VERSION + + This PR bumps all package versions to v$VERSION. + + **When merged**, packages will be automatically published to: + - PyPI: datajunction-server, datajunction-query, datajunction-reflection, datajunction + - npm: datajunction, datajunction-ui + + A GitHub Release will also be created with auto-generated release notes. + + --- + *Auto-generated by Create Version Bump workflow*" \ + --base main \ + --head "release/v$VERSION" + env: + GITHUB_TOKEN: ${{ secrets.REPO_SCOPED_TOKEN }} + + - name: Summary + run: | + VERSION="${{ steps.version.outputs.NEW_VERSION }}" + echo "## Version Bump PR Created" >> $GITHUB_STEP_SUMMARY + echo "" >> $GITHUB_STEP_SUMMARY + echo "**Version:** v$VERSION" >> $GITHUB_STEP_SUMMARY + echo "" >> $GITHUB_STEP_SUMMARY + echo "Review the PR and merge when ready to publish." >> $GITHUB_STEP_SUMMARY diff --git a/.github/workflows/generate-openapi-client.yml b/.github/workflows/generate-openapi-client.yml new file mode 100644 index 000000000..b21a5904f --- /dev/null +++ b/.github/workflows/generate-openapi-client.yml @@ -0,0 +1,65 @@ +name: "Manual : Generate OpenAPI client" +on: + workflow_dispatch: +jobs: + generate-python-client: + env: + PDM_DEPS: 'urllib3<2' + runs-on: ubuntu-latest + name: Generate Python Client + steps: + - name: Checkout + uses: actions/checkout@v3 + + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: "3.10" + + - name: Install DJ + run: | + python -m pip install --upgrade pip + pip install . + + - name: Generate OpenAPI Spec + run: ./scripts/generate-openapi.py -o openapi.json + + - name: Configure Git + run: | + git config user.name "GitHub Actions Bot" + git config user.email "<>" + + - name: Commit OpenAPI Spec + run: | + git add openapi.json + git commit -m "Updating OpenAPI Spec" + + - name: Generate Python client + uses: openapi-generators/openapitools-generator-action@v1.4.0 + with: + generator: python + openapi-file: openapi.json + config-file: ./.github/files/python-client-gen.yml + command-args: --skip-validate-spec + + - name: Move client to right directory + run: | + mkdir -p ./openapi/python + cp -r python-client/* ./openapi/python/ + rm -rf python-client + + - name: Set short sha + id: sha + run: echo "short_sha=$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT + + - name: Commit generated files + run: | + git add openapi/python/ + git commit -m "Update DJ Python client" + git checkout -b ci-pr/python-client-${{ steps.sha.outputs.short_sha }} + git push --set-upstream origin ci-pr/python-client-${{ steps.sha.outputs.short_sha }} + + - name: Open a PR + run: gh pr create -B main -H ci-pr/python-client-${{ steps.sha.outputs.short_sha }} --title 'Update Python Client - ${{ steps.sha.outputs.short_sha }}' --body '(This PR was generated by a GitHub action)' + env: + GITHUB_TOKEN: ${{ secrets.REPO_SCOPED_TOKEN }} diff --git a/.github/workflows/generate-openapi-spec.yml b/.github/workflows/generate-openapi-spec.yml new file mode 100644 index 000000000..fc4e72f7f --- /dev/null +++ b/.github/workflows/generate-openapi-spec.yml @@ -0,0 +1,61 @@ +name: "Manual : Generate OpenAPI spec" +on: + workflow_dispatch: +jobs: + generate-openapi-spec: + env: + PDM_DEPS: 'urllib3<2' + defaults: + run: + working-directory: ./datajunction-server + runs-on: ubuntu-latest + name: OpenAPI Spec + steps: + - name: Checkout + uses: actions/checkout@v3 + + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: "3.10" + + - name: Set up Node + uses: actions/setup-node@v3 + with: + node-version: 19 + + - name: Install DJ + run: | + python -m pip install --upgrade pip + pip install . + + - name: Generate OpenAPI Spec + run: | + ./scripts/generate-openapi.py -o ../openapi.json + + - name: Generate Markdown Docs from Spec + run: | + npm install -g widdershins + widdershins ../openapi.json -o ../docs/content/0.1.0/docs/developers/the-datajunction-api-specification.md --code=true --omitBody=true --summary=true + + - name: Configure Git + run: | + git config user.name "GitHub Actions Bot" + git config user.email "<>" + + - name: Set short sha + id: sha + run: echo "short_sha=$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT + + - name: Commit OpenAPI Spec + run: | + git add ../openapi.json + git add ../docs/content/0.1.0/docs/developers/the-datajunction-api-specification.md + git commit -m "Updating OpenAPI Spec" + git checkout -b ci-pr/python-client-${{ steps.sha.outputs.short_sha }} + git push --set-upstream origin ci-pr/python-client-${{ steps.sha.outputs.short_sha }} + + - name: Open a PR + run: gh pr create -B main -H ci-pr/python-client-${{ steps.sha.outputs.short_sha }} --title 'Update OpenAPI Spec - ${{ steps.sha.outputs.short_sha }}' --body '(This PR was generated by a GitHub action)' + env: + GITHUB_TOKEN: ${{ secrets.REPO_SCOPED_TOKEN }} diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml new file mode 100644 index 000000000..d1479419d --- /dev/null +++ b/.github/workflows/publish.yml @@ -0,0 +1,173 @@ +name: "Publish Release" + +on: + pull_request: + types: [closed] + branches: [main] + +jobs: + publish: + # Only run if PR was merged AND it's a release branch + if: github.event.pull_request.merged == true && startsWith(github.event.pull_request.head.ref, 'release/') + runs-on: ubuntu-latest + permissions: + contents: write + id-token: write # Required for PyPI and npm OIDC trusted publishing + + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 0 # Fetch all history for proper release notes generation + fetch-tags: true # Ensure all tags are fetched + + - name: Get version from branch name + id: version + run: | + # Extract version from branch name (release/v1.2.3 -> 1.2.3) + BRANCH="${{ github.event.pull_request.head.ref }}" + VERSION="${BRANCH#release/v}" + echo "VERSION=$VERSION" >> $GITHUB_OUTPUT + echo "Publishing version: $VERSION" + + # + # Setup + # + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: '3.11' + + - name: Install Hatch + run: pip install hatch + + - uses: actions/setup-node@v4 + with: + node-version: '24' # Node 24+ includes npm 11.5.1+ required for OIDC trusted publishing + registry-url: 'https://registry.npmjs.org' + + # + # Build Python packages + # + - name: Build DJ Server + working-directory: ./datajunction-server + run: hatch build + + # TODO: Uncomment when we have PyPI ownership of datajunction-query + # - name: Build DJ Query service + # working-directory: ./datajunction-query + # run: hatch build + + - name: Build DJ Reflection service + working-directory: ./datajunction-reflection + run: hatch build + + - name: Build DJ Python client + working-directory: ./datajunction-clients/python + run: hatch build + + # + # Publish Python packages to PyPI (using OIDC trusted publishing) + # + - name: Publish DJ Server to PyPI + continue-on-error: true + uses: pypa/gh-action-pypi-publish@release/v1 + with: + packages-dir: datajunction-server/dist/ + + # TODO: Uncomment when we have PyPI ownership of datajunction-query + # - name: Publish DJ Query service to PyPI + # uses: pypa/gh-action-pypi-publish@release/v1 + # with: + # packages-dir: datajunction-query/dist/ + + - name: Publish DJ Reflection service to PyPI + continue-on-error: true + uses: pypa/gh-action-pypi-publish@release/v1 + with: + packages-dir: datajunction-reflection/dist/ + + - name: Publish DJ Python client to PyPI + continue-on-error: true + uses: pypa/gh-action-pypi-publish@release/v1 + with: + packages-dir: datajunction-clients/python/dist/ + + # + # Publish JavaScript packages to npm (using OIDC trusted publishing) + # NOTE: Each package must be configured on npmjs.com: + # Package Settings → Trusted Publisher → GitHub Actions + # Organization: DataJunction, Repository: dj, Workflow: publish.yml + # + - name: Publish DJ UI to npm + continue-on-error: true + working-directory: ./datajunction-ui + run: | + yarn install --frozen-lockfile + npm publish --access public --provenance + + - name: Publish DJ Javascript client to npm + continue-on-error: true + working-directory: ./datajunction-clients/javascript + run: | + yarn install --frozen-lockfile + npm publish --access public --provenance + + # + # Create GitHub Release + # + - name: Generate release notes + id: release_notes + run: | + CURRENT_TAG="v${{ steps.version.outputs.VERSION }}" + echo "Current tag: $CURRENT_TAG" + + # Find the previous version tag (latest existing tag) + PREV_TAG=$(git tag -l 'v*' | sort -V | tail -1) + echo "Previous tag: $PREV_TAG" + + # Generate changelog + if [ -n "$PREV_TAG" ]; then + echo "## What's Changed" > release_notes.md + echo "" >> release_notes.md + + # Get commits between previous tag and HEAD + git log ${PREV_TAG}..HEAD --pretty=format:"* %s (%h)" --no-merges >> release_notes.md + + echo "" >> release_notes.md + echo "" >> release_notes.md + echo "**Full Changelog**: https://github.com/${{ github.repository }}/compare/${PREV_TAG}...${CURRENT_TAG}" >> release_notes.md + else + echo "## Initial Release" > release_notes.md + echo "" >> release_notes.md + echo "First release of DataJunction!" >> release_notes.md + fi + + echo "Release notes:" + cat release_notes.md + + - name: Create GitHub Release + uses: softprops/action-gh-release@v2 + with: + tag_name: v${{ steps.version.outputs.VERSION }} + name: v${{ steps.version.outputs.VERSION }} + body_path: release_notes.md + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + + - name: Summary + run: | + VERSION="${{ steps.version.outputs.VERSION }}" + echo "## Published v$VERSION" >> $GITHUB_STEP_SUMMARY + echo "" >> $GITHUB_STEP_SUMMARY + echo "### PyPI" >> $GITHUB_STEP_SUMMARY + echo "- [datajunction-server](https://pypi.org/project/datajunction-server/$VERSION/)" >> $GITHUB_STEP_SUMMARY + echo "- [datajunction](https://pypi.org/project/datajunction/$VERSION/)" >> $GITHUB_STEP_SUMMARY + echo "- [datajunction-query](https://pypi.org/project/datajunction-query/$VERSION/)" >> $GITHUB_STEP_SUMMARY + echo "- [datajunction-reflection](https://pypi.org/project/datajunction-reflection/$VERSION/)" >> $GITHUB_STEP_SUMMARY + echo "" >> $GITHUB_STEP_SUMMARY + echo "### npm" >> $GITHUB_STEP_SUMMARY + echo "- [datajunction](https://www.npmjs.com/package/datajunction/v/$VERSION)" >> $GITHUB_STEP_SUMMARY + echo "- [datajunction-ui](https://www.npmjs.com/package/datajunction-ui/v/$VERSION)" >> $GITHUB_STEP_SUMMARY + echo "" >> $GITHUB_STEP_SUMMARY + echo "### GitHub Release" >> $GITHUB_STEP_SUMMARY + echo "- [v$VERSION](https://github.com/${{ github.repository }}/releases/tag/v$VERSION)" >> $GITHUB_STEP_SUMMARY diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package-daily.yml similarity index 65% rename from .github/workflows/python-package.yml rename to .github/workflows/python-package-daily.yml index fdcc0287f..1b2b39108 100644 --- a/.github/workflows/python-package.yml +++ b/.github/workflows/python-package-daily.yml @@ -1,22 +1,20 @@ # This workflow will install Python dependencies, run tests and lint with a variety of Python versions # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions -name: Python package +name: "@Daily : Run tests with latest dependencies" on: - push: - branches: [ main ] - pull_request: - branches: [ main ] + schedule: + - cron: '0 6 * * *' jobs: - build: + daily: runs-on: ubuntu-latest strategy: fail-fast: false matrix: - python-version: [3.8, 3.9, '3.10'] + python-version: ['3.10', '3.11.0rc1'] steps: - uses: actions/checkout@v2 @@ -24,10 +22,11 @@ jobs: uses: actions/setup-python@v2 with: python-version: ${{ matrix.python-version }} - - name: Install dependencies + - name: Install latest dependencies run: | python -m pip install --upgrade pip pip install -e '.[testing]' - name: Test with pytest run: | - pytest --cov=src/datajunction -vv tests/ --doctest-modules src/datajunction + pre-commit run --all-files + pytest --cov-fail-under=100 --cov=dj -vv tests/ --doctest-modules dj --without-integration --without-slow-integration diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 000000000..9b1569c6d --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,170 @@ +name: "PR Update : Run tests and linters" + +on: + pull_request: + branches: [ main ] + push: + branches: [ main ] + +concurrency: + group: ${{ github.ref }} + cancel-in-progress: true + +jobs: + changes: + runs-on: ubuntu-latest + defaults: + run: + working-directory: ./ + + outputs: + client: ${{ steps.filter.outputs.client }} + server: ${{ steps.filter.outputs.server }} + djqs: ${{ steps.filter.outputs.djqs }} + djrs: ${{ steps.filter.outputs.djrs }} + ui: ${{ steps.filter.outputs.ui }} + + steps: + - uses: actions/checkout@v4 + - uses: dorny/paths-filter@v3 + id: filter + with: + token: '' + filters: | + client: + - datajunction-clients/python/** + - '!datajunction-clients/python/datajunction/__about__.py' + server: + - datajunction-server/** + - '!datajunction-server/datajunction_server/__about__.py' + djqs: + - datajunction-query/** + - '!**/__about__.py' + djrs: + - datajunction-reflection/** + - '!**/__about__.py' + ui: + - datajunction-ui/** + - '!datajunction-ui/package.json' + predicate-quantifier: every + + build: + needs: changes + env: + PDM_DEPS: 'urllib3<2' + runs-on: ubuntu-latest + + strategy: + fail-fast: false + matrix: + python-version: ['3.10', '3.11'] + library: ['client', 'server', 'djqs', 'djrs'] + + steps: + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + + - uses: pdm-project/setup-pdm@v4 + name: Setup PDM + with: + python-version: ${{ matrix.python-version }} + architecture: x64 + prerelease: true + enable-pep582: true + + - uses: pre-commit/action@v3.0.0 + name: Force check of all pdm.lock files + with: + extra_args: pdm-lock-check --all-files + + - name: Run Tests + if: | + (matrix.library == 'client' && needs.changes.outputs.client == 'true') || + (matrix.library == 'server' && needs.changes.outputs.server == 'true') || + (matrix.library == 'djqs' && needs.changes.outputs.djqs == 'true') || + (matrix.library == 'djrs' && needs.changes.outputs.djrs == 'true') + run: | + echo "Testing ${{ matrix.library }} ..." + export TEST_DIR=${{ matrix.library == 'server' && './datajunction-server' || matrix.library == 'client' && './datajunction-clients/python' || matrix.library == 'djqs' && './datajunction-query' || matrix.library == 'djrs' && './datajunction-reflection'}} + + # Install dependencies + pdm sync -d; cd $TEST_DIR; pdm install -d -G pandas -G transpilation -G test; + + # Run linters + pdm run pre-commit run --all-files + + # Run tests + export MODULE=${{ matrix.library == 'server' && 'datajunction_server' || matrix.library == 'client' && 'datajunction' || matrix.library == 'djqs' && 'djqs' || matrix.library == 'djrs' && 'datajunction_reflection'}} + pdm run pytest ${{ (matrix.library == 'server' || matrix.library == 'client') && '-n auto' || '' }} --dist=loadscope --cov-fail-under=100 --cov=$MODULE --cov-report term-missing -vv tests/ --doctest-modules $MODULE --without-integration --without-slow-integration --ignore=datajunction_server/alembic/env.py + + build-javascript: + runs-on: ubuntu-latest + strategy: + matrix: + node-version: [18.x] + steps: + - uses: actions/checkout@v3 + - name: Use Node.js ${{ matrix.node-version }} + uses: actions/setup-node@v3 + with: + node-version: ${{ matrix.node-version }} + - name: Install Dev Dependencies + run: npm install --only=dev + working-directory: ./datajunction-clients/javascript + - name: Build Javascript Client + run: npm run build + working-directory: ./datajunction-clients/javascript + - name: Lint Javascript Client + run: npm run lint + working-directory: ./datajunction-clients/javascript + + build-ui: + needs: changes + runs-on: ubuntu-latest + defaults: + run: + working-directory: ./datajunction-ui + strategy: + matrix: + node-version: [19.x] + steps: + - name: Checkout repository + uses: actions/checkout@v3 + - name: Set up Node.js ${{ matrix.node-version }} + uses: actions/setup-node@v3 + with: + node-version: ${{ matrix.node-version }} + - name: Install Dependencies + if: ${{ needs.changes.outputs.ui == 'true' }} + run: yarn install --ignore-engines + - name: Run Lint and Prettier + if: ${{ needs.changes.outputs.ui == 'true' }} + run: | + yarn lint --fix + yarn prettier . --write + git diff --exit-code + - name: Run Unit Tests and Build + if: ${{ needs.changes.outputs.ui == 'true' }} + run: | + yarn test --runInBand --ci --coverage + yarn webpack-build + + build-java: + runs-on: ubuntu-latest + defaults: + run: + working-directory: ./datajunction-clients/java + steps: + - uses: actions/checkout@v4 + - name: Set up JDK 17 + uses: actions/setup-java@v4 + with: + java-version: '17' + distribution: 'temurin' + - name: Setup Gradle + uses: gradle/actions/setup-gradle@v4 + - name: Build with Gradle + run: ./gradlew build -x test diff --git a/.github/workflows/version-check.yml b/.github/workflows/version-check.yml new file mode 100644 index 000000000..227722090 --- /dev/null +++ b/.github/workflows/version-check.yml @@ -0,0 +1,82 @@ +name: "PR Update : Test matching versions" + +on: + pull_request: + branches: [ main ] + +jobs: + version-check: + runs-on: ubuntu-latest + strategy: + fail-fast: false + env: + ALL_VERSIONS_MATCH: false + + steps: + - uses: actions/checkout@v2 + + - name: Install Hatch + run: | + python -m pip install --upgrade pip + pip install hatch + + # + # Collect from Python / hatch + # + - name: Find the version of DJ Server + working-directory: ./datajunction-server + run: + echo "DJ_SERVER_VERSION=`hatch version`" >> $GITHUB_ENV + + - name: Find the version of DJ Query service + working-directory: ./datajunction-query + run: + echo "DJ_QUERY_VERSION=`hatch version`" >> $GITHUB_ENV + + - name: Find the version of DJ Reflection service + working-directory: ./datajunction-reflection + run: + echo "DJ_REFLECTION_VERSION=`hatch version`" >> $GITHUB_ENV + + - name: Find the version of DJ Python client + working-directory: ./datajunction-clients/python + run: + echo "DJ_CLIENT_PY_VERSION=`hatch version`" >> $GITHUB_ENV + + # + # Collect from JavaScript / yarn + # + - name: Find the version of DJ UI + working-directory: ./datajunction-ui + run: + echo "DJ_UI_VERSION=`cat package.json | jq -r '.version'`" >> $GITHUB_ENV + + - name: Find the version of DJ Javascript client + working-directory: ./datajunction-clients/javascript + run: + echo "DJ_CLIENT_JS_VERSION=`cat package.json | jq -r '.version'`" >> $GITHUB_ENV + + # + # Collect from Java / gradle (TODO) + # + + # + # Evaluate + # + - name: All versions match! + if: ${{ env.DJ_SERVER_VERSION == env.DJ_QUERY_VERSION && env.DJ_SERVER_VERSION == env.DJ_REFLECTION_VERSION && env.DJ_SERVER_VERSION == env.DJ_UI_VERSION && env.DJ_SERVER_VERSION == env.DJ_CLIENT_PY_VERSION && env.DJ_SERVER_VERSION == env.DJ_CLIENT_JS_VERSION }} + run: | + echo "All versions match: ${DJ_SERVER_VERSION}" + echo "ALL_VERSIONS_MATCH=true" >> $GITHUB_ENV + + - name: Fail on mismatch + if: ${{ env.ALL_VERSIONS_MATCH == 'false' }} + run: | + echo "Mismatched component versions found" + echo " - DJ Server: ${DJ_SERVER_VERSION}" + echo " - DJ Query: ${DJ_QUERY_VERSION}" + echo " - DJ Reflection: ${DJ_REFLECTION_VERSION}" + echo " - DJ UI: ${DJ_UI_VERSION}" + echo " - DJ Client for Python: ${DJ_CLIENT_PY_VERSION}" + echo " - DJ Client for Javascript: ${DJ_CLIENT_JS_VERSION}" + exit 1 diff --git a/.gitignore b/.gitignore index 22e91ac24..9a920520b 100644 --- a/.gitignore +++ b/.gitignore @@ -81,9 +81,6 @@ celerybeat-schedule # SageMath parsed files *.sage.py -# dotenv -.env - # virtualenv .venv venv/ @@ -103,5 +100,29 @@ ENV/ .mypy_cache/ *.sqlite -*.db +dj.db +djqs.db *.swp + +# VS Code +.vscode + +# Idea +.idea + +# MacOS +.DS_Store +.pdm-python +.pdm.toml + +# oauth credentials +client_secret* + +# random notebooks +Untitled* +.notebook_executed + +# postgres +postgres_metadata +postgres_superset +node_modules diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 000000000..b4a7f0d05 --- /dev/null +++ b/.gitmodules @@ -0,0 +1,3 @@ +[submodule "docs/themes/doks"] + path = docs/themes/doks + url = https://github.com/h-enk/doks.git diff --git a/.isort.cfg b/.isort.cfg index c8a204d9c..8c960bf43 100644 --- a/.isort.cfg +++ b/.isort.cfg @@ -1,3 +1,3 @@ [settings] profile = black -known_first_party = datajunction +known_first_party = dj diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 539485f0e..385e146ee 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,11 +1,11 @@ -exclude: '^docs/conf.py' +files: ^datajunction-(server|query|reflection)/ +exclude: (^docs/|^openapi/|^datajunction-clients/python/|^datajunction-clients/javascript/|^datajunction-server/dj/sql/parsing/backends/grammar/generated|^README.md) repos: -- repo: git://github.com/pre-commit/pre-commit-hooks - rev: v3.4.0 +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.1.0 hooks: - id: trailing-whitespace - - id: check-added-large-files - id: check-ast exclude: ^templates/ - id: check-json @@ -15,6 +15,7 @@ repos: - id: debug-statements exclude: ^templates/ - id: end-of-file-fixer + exclude: openapi.json - id: requirements-txt-fixer exclude: ^templates/ - id: mixed-line-ending @@ -32,12 +33,12 @@ repos: # ] - repo: https://github.com/pycqa/isort - rev: 5.7.0 + rev: 5.12.0 hooks: - id: isort - repo: https://github.com/psf/black - rev: 20.8b1 + rev: 22.8.0 hooks: - id: black language_version: python3 @@ -50,7 +51,7 @@ repos: # - id: blacken-docs # additional_dependencies: [black] -- repo: https://gitlab.com/pycqa/flake8 +- repo: https://github.com/PyCQA/flake8 rev: 3.9.2 hooks: - id: flake8 @@ -59,7 +60,7 @@ repos: # additional_dependencies: [flake8-bugbear] - repo: https://github.com/pre-commit/mirrors-mypy - rev: 'v0.910' # Use the sha / tag you want to point at + rev: 'v0.981' # Use the sha / tag you want to point at hooks: - id: mypy exclude: ^templates/ @@ -67,11 +68,10 @@ repos: - types-requests - types-freezegun - types-python-dateutil - - types-pkg_resources - - types-PyYAML + - types-setuptools - types-tabulate - repo: https://github.com/asottile/add-trailing-comma - rev: v2.1.0 + rev: v2.2.1 hooks: - id: add-trailing-comma #- repo: https://github.com/asottile/reorder_python_imports @@ -79,17 +79,55 @@ repos: # hooks: # - id: reorder-python-imports # args: [--application-directories=.:src] -- repo: https://github.com/hadialqattan/pycln - rev: v1.0.3 # Possible releases: https://github.com/hadialqattan/pycln/tags - hooks: - - id: pycln - args: [--config=pyproject.toml] - exclude: ^templates/ +## Removing this for now due to this bug: https://github.com/hadialqattan/pycln/issues/249 +# - repo: https://github.com/hadialqattan/pycln +# rev: v2.4.0 # Possible releases: https://github.com/hadialqattan/pycln/tags +# hooks: +# - id: pycln +# args: [--config=pyproject.toml] +# exclude: ^templates/ - repo: local hooks: - id: pylint name: pylint - entry: pylint + entry: pylint --disable=duplicate-code,use-implicit-booleaness-not-comparison language: system types: [python] exclude: ^templates/ +- repo: https://github.com/kynan/nbstripout + rev: 0.6.1 + hooks: + - id: nbstripout +- repo: https://github.com/tomcatling/black-nb + rev: "0.7" + hooks: + - id: black-nb + files: '\.ipynb$' +- repo: https://github.com/pdm-project/pdm + rev: 2.8.1 + hooks: + - id: pdm-lock-check + name: pdm-lock-check-root + entry: pdm lock --check --project . + files: ^pyproject.toml$ +- repo: https://github.com/pdm-project/pdm + rev: 2.18.2 + hooks: + - id: pdm-lock-check + name: pdm-lock-check-server + entry: pdm lock --check --project datajunction-server + files: ^datajunction-server/pyproject.toml$ +- repo: https://github.com/pdm-project/pdm + rev: 2.18.2 + hooks: + - id: pdm-lock-check + name: pdm-lock-check-query + entry: pdm lock --check --project datajunction-query + files: ^datajunction-query/pyproject.toml$ +- repo: https://github.com/pdm-project/pdm + rev: 2.18.2 + hooks: + - id: pdm-lock-check + name: pdm-lock-check-reflection + entry: pdm lock --check --project datajunction-reflection + files: ^datajunction-reflection/pyproject.toml$ diff --git a/.pylintrc b/.pylintrc index 928bc4e0a..5b6fccaa9 100644 --- a/.pylintrc +++ b/.pylintrc @@ -1,6 +1,6 @@ [MESSAGES CONTROL] -disable = - duplicate-code [MASTER] +# https://github.com/samuelcolvin/pydantic/issues/1961#issuecomment-759522422 +extension-pkg-whitelist=pydantic ignore=templates,docs diff --git a/AUTHORS.rst b/AUTHORS.rst index 147dafe54..dcde57edb 100644 --- a/AUTHORS.rst +++ b/AUTHORS.rst @@ -3,3 +3,9 @@ Contributors ============ * Beto Dealmeida +* Olek Gorajek +* Hamidreza Hashemi +* Ali Raza +* Sam Redai +* Nick Ouellet +* Yian Shang diff --git a/CHANGELOG.rst b/CHANGELOG.md similarity index 100% rename from CHANGELOG.rst rename to CHANGELOG.md diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 000000000..18c914718 --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,128 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our +community a harassment-free experience for everyone, regardless of age, body +size, visible or invisible disability, ethnicity, sex characteristics, gender +identity and expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, religion, or sexual identity +and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, +diverse, inclusive, and healthy community. + +## Our Standards + +Examples of behavior that contributes to a positive environment for our +community include: + +* Demonstrating empathy and kindness toward other people +* Being respectful of differing opinions, viewpoints, and experiences +* Giving and gracefully accepting constructive feedback +* Accepting responsibility and apologizing to those affected by our mistakes, + and learning from the experience +* Focusing on what is best not just for us as individuals, but for the + overall community + +Examples of unacceptable behavior include: + +* The use of sexualized language or imagery, and sexual attention or + advances of any kind +* Trolling, insulting or derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or email + address, without their explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of +acceptable behavior and will take appropriate and fair corrective action in +response to any behavior that they deem inappropriate, threatening, offensive, +or harmful. + +Community leaders have the right and responsibility to remove, edit, or reject +comments, commits, code, wiki edits, issues, and other contributions that are +not aligned to this Code of Conduct, and will communicate reasons for moderation +decisions when appropriate. + +## Scope + +This Code of Conduct applies within all community spaces, and also applies when +an individual is officially representing the community in public spaces. +Examples of representing our community include using an official e-mail address, +posting via an official social media account, or acting as an appointed +representative at an online or offline event. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported to the community leaders responsible for enforcement at +. +All complaints will be reviewed and investigated promptly and fairly. + +All community leaders are obligated to respect the privacy and security of the +reporter of any incident. + +## Enforcement Guidelines + +Community leaders will follow these Community Impact Guidelines in determining +the consequences for any action they deem in violation of this Code of Conduct: + +### 1. Correction + +**Community Impact**: Use of inappropriate language or other behavior deemed +unprofessional or unwelcome in the community. + +**Consequence**: A private, written warning from community leaders, providing +clarity around the nature of the violation and an explanation of why the +behavior was inappropriate. A public apology may be requested. + +### 2. Warning + +**Community Impact**: A violation through a single incident or series +of actions. + +**Consequence**: A warning with consequences for continued behavior. No +interaction with the people involved, including unsolicited interaction with +those enforcing the Code of Conduct, for a specified period of time. This +includes avoiding interactions in community spaces as well as external channels +like social media. Violating these terms may lead to a temporary or +permanent ban. + +### 3. Temporary Ban + +**Community Impact**: A serious violation of community standards, including +sustained inappropriate behavior. + +**Consequence**: A temporary ban from any sort of interaction or public +communication with the community for a specified period of time. No public or +private interaction with the people involved, including unsolicited interaction +with those enforcing the Code of Conduct, is allowed during this period. +Violating these terms may lead to a permanent ban. + +### 4. Permanent Ban + +**Community Impact**: Demonstrating a pattern of violation of community +standards, including sustained inappropriate behavior, harassment of an +individual, or aggression toward or disparagement of classes of individuals. + +**Consequence**: A permanent ban from any sort of public interaction within +the community. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], +version 2.0, available at +https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. + +Community Impact Guidelines were inspired by [Mozilla's code of conduct +enforcement ladder](https://github.com/mozilla/diversity). + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see the FAQ at +https://www.contributor-covenant.org/faq. Translations are available at +https://www.contributor-covenant.org/translations. diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index 57763db20..5473a5fe9 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -1,353 +1,435 @@ -.. todo:: THIS IS SUPPOSED TO BE AN EXAMPLE. MODIFY IT ACCORDING TO YOUR NEEDS! - - The document assumes you are using a source repository service that promotes a - contribution model similar to `GitHub's fork and pull request workflow`_. - While this is true for the majority of services (like GitHub, GitLab, - BitBucket), it might not be the case for private repositories (e.g., when - using Gerrit). - - Also notice that the code examples might refer to GitHub URLs or the text - might use GitHub specific terminology (e.g., *Pull Request* instead of *Merge - Request*). - - Please make sure to check the document having these assumptions in mind - and update things accordingly. - -.. todo:: Provide the correct links/replacements at the bottom of the document. - -.. todo:: You might want to have a look on `PyScaffold's contributor's guide`_, - - especially if your project is open source. The text should be very similar to - this template, but there are a few extra contents that you might decide to - also include, like mentioning labels of your issue tracker or automated - releases. - - ============ Contributing ============ -Welcome to ``datajunction`` contributor's guide. - -This document focuses on getting any potential contributor familiarized -with the development processes, but `other kinds of contributions`_ are also -appreciated. - -If you are new to using git_ or have never collaborated in a project previously, -please have a look at `contribution-guide.org`_. Other resources are also -listed in the excellent `guide created by FreeCodeCamp`_ [#contrib1]_. - -Please notice, all users and contributors are expected to be **open, -considerate, reasonable, and respectful**. When in doubt, `Python Software -Foundation's Code of Conduct`_ is a good reference in terms of behavior -guidelines. - - -Issue Reports +Pre-requisites +============== + +DataJunction (DJ) is currently supported in Python 3.8, 3.9, and 3.10. It's recommended to use ``pyenv`` to create a virtual environment called "dj": + +.. code-block:: bash + + $ pyenv virtualenv 3.8 dj # or 3.9/3.10 + +Then you can pick any of the components you want to develop on, say ``cd datajunction-server`` or ``cd datajunction-clients/python``, +install required dependencies with ``pdm install`` and call ``make test`` to run all the unit tests for that component. + +DJ relies heavily on these libraries: + +- `SQLAlchemy `_ for running queries and fetching table metadata. +- `FastAPI `_ for APIs. + +Running the examples +==================== + +The repository should be run in conjunction with [`djqs`](https://github.com/DataJunction/djqs), which will load a +`postgres-roads` database with example data. In order to get this up and running: +* ``docker compose up`` from DJ to get the DJ metrics service up (defaults to run on port 8000) +* ``docker compose up`` in DJQS to get the DJ query service up (defaults to run on port 8001) + +Once both are up, you can fire up `juypter notebook` to run the `Modeling the Roads Example Database.ipynb`, +which will create all of the relevant nodes and provide some examples of API interactions. + +You can check that everything is working by querying the list of available catalogs (install `jq `_ if you don't have it): + +.. code-block:: bash + + % curl http://localhost:8000/catalogs/ | jq + [ + { + "name": "default", + "engines": [ + { + "name": "postgres", + "version": "", + "uri": "postgresql://dj:dj@postgres-roads:5432/djdb" + } + ] + } + ] + +To see the list of available nodes: + +.. code-block:: bash + + $ curl http://localhost:8000/nodes/ | jq + [ + { + "node_revision_id": 1, + "node_id": 1, + "type": "source", + "name": "repair_orders", + "display_name": "Repair Orders", + "version": "v1.0", + "status": "valid", + "mode": "published", + "catalog": { + "id": 1, + "uuid": "c2363d4d-ce0c-4eb2-9b1e-28743970f859", + "created_at": "2023-03-17T15:45:15.012784+00:00", + "updated_at": "2023-03-17T15:45:15.012795+00:00", + "extra_params": {}, + "name": "default" + }, + "schema_": "roads", + "table": "repair_orders", + "description": "Repair orders", + "query": null, + "availability": null, + "columns": [ + { + "name": "repair_order_id", + "type": "INT", + "attributes": [] + }, + { + "name": "municipality_id", + "type": "STR", + "attributes": [] + }, + { + "name": "hard_hat_id", + "type": "INT", + "attributes": [] + }, + { + "name": "order_date", + "type": "TIMESTAMP", + "attributes": [] + }, + { + "name": "required_date", + "type": "TIMESTAMP", + "attributes": [] + }, + { + "name": "dispatched_date", + "type": "TIMESTAMP", + "attributes": [] + }, + { + "name": "dispatcher_id", + "type": "INT", + "attributes": [] + } + ], + "updated_at": "2023-03-17T15:45:18.456072+00:00", + "materialization_configs": [], + "created_at": "2023-03-17T15:45:18.448321+00:00", + "tags": [] + }, + ... + ] + +And metrics: + +.. code-block:: bash + + $ curl http://localhost:8000/metrics/ | jq + [ + { + "id": 21, + "name": "num_repair_orders", + "display_name": "Num Repair Orders", + "current_version": "v1.0", + "description": "Number of repair orders", + "created_at": "2023-03-17T15:45:27.589799+00:00", + "updated_at": "2023-03-17T15:45:27.590304+00:00", + "query": "SELECT count(repair_order_id) as num_repair_orders FROM repair_orders", + "dimensions": [ + "dispatcher.company_name", + "dispatcher.dispatcher_id", + "dispatcher.phone", + "hard_hat.address", + "hard_hat.birth_date", + "hard_hat.city", + "hard_hat.contractor_id", + "hard_hat.country", + "hard_hat.first_name", + "hard_hat.hard_hat_id", + "hard_hat.hire_date", + "hard_hat.last_name", + "hard_hat.manager", + "hard_hat.postal_code", + "hard_hat.state", + "hard_hat.title", + "municipality_dim.contact_name", + "municipality_dim.contact_title", + "municipality_dim.local_region", + "municipality_dim.municipality_id", + "municipality_dim.municipality_type_desc", + "municipality_dim.municipality_type_id", + "municipality_dim.phone", + "municipality_dim.state_id", + "repair_orders.dispatched_date", + "repair_orders.dispatcher_id", + "repair_orders.hard_hat_id", + "repair_orders.municipality_id", + "repair_orders.order_date", + "repair_orders.repair_order_id", + "repair_orders.required_date" + ] + }, + { + "id": 22, + "name": "avg_repair_price", + "display_name": "Avg Repair Price", + "current_version": "v1.0", + "description": "Average repair price", + "created_at": "2023-03-17T15:45:28.121435+00:00", + "updated_at": "2023-03-17T15:45:28.121836+00:00", + "query": "SELECT avg(price) as avg_repair_price FROM repair_order_details", + "dimensions": [ + "repair_order.dispatcher_id", + "repair_order.hard_hat_id", + "repair_order.municipality_id", + "repair_order.repair_order_id", + "repair_order_details.discount", + "repair_order_details.price", + "repair_order_details.quantity", + "repair_order_details.repair_order_id", + "repair_order_details.repair_type_id" + ] + }, + ... + ] + + +To get data for a given metric: + +.. code-block:: bash + + $ curl http://localhost:8000/data/avg_repair_price/ | jq + +You can also pass query parameters to group by a dimension or filter: + +.. code-block:: bash + + $ curl "http://localhost:8000/data/avg_time_to_dispatch/?dimensions=dispatcher.company_name" | jq + $ curl "http://localhost:8000/data/avg_time_to_dispatch/?filters=hard_hat.state='AZ'" | jq + +Similarly, you can request the SQL for a given metric with given constraints: + +.. code-block:: bash + + $ curl "http://localhost:8000/sql/avg_time_to_dispatch/?dimensions=dispatcher.company_name" | jq + { + "sql": "SELECT avg(repair_orders.dispatched_date - repair_orders.order_date) AS avg_time_to_dispatch,\n\tdispatcher.company_name \n FROM \"roads\".\"repair_orders\" AS repair_orders\nLEFT JOIN (SELECT dispatchers.company_name,\n\tdispatchers.dispatcher_id,\n\tdispatchers.phone \n FROM \"roads\".\"dispatchers\" AS dispatchers\n \n) AS dispatcher\n ON repair_orders.dispatcher_id = dispatcher.dispatcher_id \n GROUP BY dispatcher.company_name" + } + +You can also run SQL queries against the metrics in DJ, using the special database with ID 0 and referencing a table called ``metrics``: + +.. code-block:: sql + + SELECT "basic.num_comments" + FROM metrics + WHERE "basic.source.comments.user_id" < 4 + GROUP BY "basic.source.comments.user_id" + + +API docs +======== + +Once you have Docker running you can see the API docs at http://localhost:8000/docs. + +Creating a PR ============= -If you experience bugs or general issues with ``datajunction``, please have a look -on the `issue tracker`_. If you don't see anything useful there, please feel -free to fire an issue report. - -.. tip:: - Please don't forget to include the closed issues in your search. - Sometimes a solution was already reported, and the problem is considered - **solved**. - -New issue reports should include information about your programming environment -(e.g., operating system, Python version) and steps to reproduce the problem. -Please try also to simplify the reproduction steps to a very minimal example -that still illustrates the problem you are facing. By removing other factors, -you help us to identify the root cause of the issue. - - -Documentation Improvements -========================== - -You can help improve ``datajunction`` docs by making them more readable and coherent, or -by adding missing information and correcting mistakes. - -``datajunction`` documentation uses Sphinx_ as its main documentation compiler. -This means that the docs are kept in the same repository as the project code, and -that any documentation update is done in the same way was a code contribution. - -.. todo:: Don't forget to mention which markup language you are using. - - e.g., reStructuredText_ or CommonMark_ with MyST_ extensions. - -.. todo:: If your project is hosted on GitHub, you can also mention the following tip: - - .. tip:: - Please notice that the `GitHub web interface`_ provides a quick way of - propose changes in ``datajunction``'s files. While this mechanism can - be tricky for normal code contributions, it works perfectly fine for - contributing to the docs, and can be quite handy. - - If you are interested in trying this method out, please navigate to - the ``docs`` folder in the source repository_, find which file you - would like to propose changes and click in the little pencil icon at the - top, to open `GitHub's code editor`_. Once you finish editing the file, - please write a message in the form at the bottom of the page describing - which changes have you made and what are the motivations behind them and - submit your proposal. - -When working on documentation changes in your local machine, you can -compile them using |tox|_:: - - tox -e docs +When creating a PR, make sure to run ``make test`` to check for test coverage. You can also run ``make check`` to run the pre-commit hooks. -and use Python's built-in web server for a preview in your web browser -(``http://localhost:8000``):: +A few `fixtures `_ are `available `_ to help writing unit tests. - python3 -m http.server --directory 'docs/_build/html' +Adding new dependencies +======================= +When a PR introduces a new dependency, add them to ``setup.cfg`` under ``install_requires``. If the dependency version is less than ``1.0`` and you expect it to change often it's better to pin the dependency, eg: -Code Contributions -================== +.. code-block:: config -.. todo:: Please include a reference or explanation about the internals of the project. + some-package==0.0.1 - An architecture description, design principles or at least a summary of the - main concepts will make it easy for potential contributors to get started - quickly. +Otherwise specify the package with a lower bound only: -Submit an issue ---------------- +.. code-block:: config -Before you work on any non-trivial code contribution it's best to first create -a report in the `issue tracker`_ to start a discussion on the subject. -This often provides additional considerations and avoids unnecessary work. + some-package>=1.2.3 -Create an environment ---------------------- +Don't use upper bounds in the dependencies. We have nightly unit tests that test if newer versions of dependencies will break. -Before you start coding, we recommend creating an isolated `virtual -environment`_ to avoid any problems with your installed Python packages. -This can easily be done via either |virtualenv|_:: +Database migrations +=================== - virtualenv - source /bin/activate +We use `Alembic `_ to manage schema migrations. If a PR introduces new models or changes existing ones a migration must be created. -or Miniconda_:: +1. Run the Docker container with ``docker compose up``. +2. Enter the ``dj`` container with ``docker exec -it dj bash``. +3. Run ``alembic revision --autogenerate -m "Description of the migration"``. This will create a file in the repository, under ``alembic/versions/``. Verify the file, checking that the upgrade and the downgrade functions make sense. +4. Still inside the container, run ``alembic upgrade head``. This will update the database schema to match the models. +5. Now run ``alembic downgrade $SHA``, where ``$SHA`` is the previous migration. You can see the hash with ``alembic history``. +6. Once you've confirmed that both the upgrade and downgrade work, upgrade again and commit the file. - conda create -n pyscaffold python=3 six virtualenv pytest pytest-cov - conda activate pyscaffold +If the migrations include ``alter_column`` or ``drop_column`` make sure to wrap them in a ``batch_alter_table`` context manager so that they work correctly with SQLite. You can see `an example here `_. -Clone the repository --------------------- +Development tips +=================== -#. Create an user account on |the repository service| if you do not already have one. -#. Fork the project repository_: click on the *Fork* button near the top of the - page. This creates a copy of the code under your account on |the repository service|. -#. Clone this copy to your local disk:: +Using ``PYTEST_ARGS`` with ``make test`` +---------------------------------------- - git clone git@github.com:YourLogin/datajunction.git - cd datajunction +If you'd like to pass additional arguments to pytest when running `make test`, you can define them as ``PYTEST_ARGS``. For example, you can include +`--fixtures` to see a list of all fixtures. -#. You should run:: +.. code-block:: sh - pip install -U pip setuptools -e . + make test PYTEST_ARGS="--fixtures" - to be able run ``putup --help``. +Running a Subset of Tests +------------------------- - .. todo:: if you are not using pre-commit, please remove the following item: +When working on tests, it's common to want to run a specific test by name. This can be done by passing ``-k`` as an additional pytest argument along +with a string expression. Pytest will only run tests which contain names that match the given string expression. -#. Install |pre-commit|_:: +.. code-block:: sh - pip install pre-commit - pre-commit install + make test PYTEST_ARGS="-k test_main_compile" - ``datajunction`` comes with a lot of hooks configured to automatically help the - developer to check the code being written. +Running TPC-DS Parsing Tests +------------------------- -Implement your changes ----------------------- +A TPC-DS test suite is included but skipped by default. As we incrementally build support for various SQL syntax into the DJ +SQL AST, it's helpful to run these tests using the `--tpcds` flag. -#. Create a branch to hold your changes:: +.. code-block:: sh - git checkout -b my-feature + make test PYTEST_ARGS="--tpcds" - and start making changes. Never work on the master branch! +You can run only the TPC-DS tests without the other tests using a `-k` filter. -#. Start your work on this branch. Don't forget to add docstrings_ to new - functions, modules and classes, especially if they are part of public APIs. +.. code-block:: sh -#. Add yourself to the list of contributors in ``AUTHORS.rst``. + make test PYTEST_ARGS="--tpcds -k tpcds" -#. When you’re done editing, do:: +Another useful option is matching on the full test identifier to run the test for a single specific query file from the +parametrize list. This is useful when paired with `--pdb` to drop into the debugger. - git add - git commit +.. code-block:: sh - to record your changes in git_. + make test PYTEST_ARGS="--tpcds --pdb -k test_parsing_ansi_tpcds_queries[./ansi/query1.sql]" - .. todo:: if you are not using pre-commit, please remove the following item: +If you prefer to use tox, these flags all work the same way. - Please make sure to see the validation messages from |pre-commit|_ and fix - any eventual issues. - This should automatically use flake8_/black_ to check/fix the code style - in a way that is compatible with the project. +.. code-block:: sh - .. important:: Don't forget to add unit tests and documentation in case your - contribution adds an additional feature and is not just a bugfix. + tox tests/sql/parsing/queries/tpcds/test_tpcds.py::test_parsing_sparksql_tpcds_queries -- --tpcds - Moreover, writing a `descriptive commit message`_ is highly recommended. - In case of doubt, you can check the commit history with:: +Enabling ``pdb`` When Running Tests +----------------------------------- - git log --graph --decorate --pretty=oneline --abbrev-commit --all +If you'd like to drop into ``pdb`` when a test fails, or on a line where you've added ``pdb.set_trace()``, you can pass ``--pdb`` as a pytest argument. - to look for recurring communication patterns. +.. code-block:: sh -#. Please check that your changes don't break any unit tests with:: + make test PYTEST_ARGS="--pdb" - tox +Using ``pdb`` In Docker +----------------------- - (after having installed |tox|_ with ``pip install tox`` or ``pipx``). +The included docker compose files make it easy to get a development environment up and running locally. When debugging or working on a new feature, +it's helpful to set breakpoints in the source code to drop into ``pdb`` at runtime. In order to do this while using the docker compose setup, there +are three steps. - You can also use |tox|_ to run several other pre-configured tasks in the - repository. Try ``tox -av`` to see a list of the available checks. +1. Set a trace in the source code on the line where you'd like to drop into ``pdb``. -Submit your contribution ------------------------- +.. code-block:: python -#. If everything works fine, push your local branch to |the repository service| with:: + import pdb; pdb.set_trace() - git push -u origin my-feature +2. In the docker compose file, enable ``stdin_open`` and ``tty`` on the service you'd like debug. -#. Go to the web page of your fork and click |contribute button| - to send your changes for review. +.. code-block:: YAML - .. todo:: if you are using GitHub, you can uncomment the following paragraph + services: + dj: + stdin_open: true + tty: true + ... - Find more detailed information `creating a PR`_. You might also want to open - the PR as a draft first and mark it as ready for review after the feedbacks - from the continuous integration (CI) system or any required fixes. +3. Once the docker environment is running, attach to the container. +.. code-block:: sh -Troubleshooting ---------------- + docker attach dj -The following tips can be used when facing problems to build or test the -package: +When the breakpoint is hit, the attached session will enter an interactive ``pdb`` session. -#. Make sure to fetch all the tags from the upstream repository_. - The command ``git describe --abbrev=0 --tags`` should return the version you - are expecting. If you are trying to run CI scripts in a fork repository, - make sure to push all the tags. - You can also try to remove all the egg files or the complete egg folder, i.e., - ``.eggs``, as well as the ``*.egg-info`` folders in the ``src`` folder or - potentially in the root of your project. +ANTLR +----- -#. Sometimes |tox|_ misses out when new dependencies are added, especially to - ``setup.cfg`` and ``docs/requirements.txt``. If you find any problems with - missing dependencies when running a command with |tox|_, try to recreate the - ``tox`` environment using the ``-r`` flag. For example, instead of:: +Generating the ANTLR Parser +--------------------------- - tox -e docs +Install the ANTLR generator tool. - Try running:: +.. code-block:: sh - tox -r -e docs + pip install antlr4-tools -#. Make sure to have a reliable |tox|_ installation that uses the correct - Python version (e.g., 3.7+). When in doubt you can run:: +While in the `dj/sql/parsing/backends/antlr4/grammar/` directory, generate the parser by running the following CLI command. - tox --version - # OR - which tox +.. code-block:: sh - If you have trouble and are seeing weird errors upon running |tox|_, you can - also try to create a dedicated `virtual environment`_ with a |tox|_ binary - freshly installed. For example:: + antlr4 -Dlanguage=Python3 -visitor SqlBaseLexer.g4 SqlBaseParser.g4 -o generated - virtualenv .venv - source .venv/bin/activate - .venv/bin/pip install tox - .venv/bin/tox -e all +A python 3 ANTLR parser will be generated in `dj/sql/parsing/backends/antlr4/grammar/generated/`. -#. `Pytest can drop you`_ in an interactive session in the case an error occurs. - In order to do that you need to pass a ``--pdb`` option (for example by - running ``tox -- -k --pdb``). - You can also setup breakpoints manually instead of using the ``--pdb`` option. +Creating a Diagram from the Grammar +----------------------------------- +Use https://bottlecaps.de/convert/ to go from ANTLR4 -> EBNF -Maintainer tasks -================ +Input the EBNF into https://bottlecaps.de/rr/ui -Releases --------- +Common Issues +=================== -.. todo:: This section assumes you are using PyPI to publicly release your package. +Docker missing dependencies +---------------------------------------- - If instead you are using a different/private package index, please update - the instructions accordingly. +If you are still new to docker development... you may run into this. If someone else modified / added new dependencies in some +of the DJ conatainers, you may notice an error like: -If you are part of the group of maintainers and have correct user permissions -on PyPI_, the following steps can be used to release a new version for -``datajunction``: +.. code-block:: sh + dj | ModuleNotFoundError: No module named 'sse_starlette' -#. Make sure all unit tests are successful. -#. Tag the current commit on the main branch with a release tag, e.g., ``v1.2.3``. -#. Push the new tag to the upstream repository_, e.g., ``git push upstream v1.2.3`` -#. Clean up the ``dist`` and ``build`` folders with ``tox -e clean`` - (or ``rm -rf dist build``) - to avoid confusion with old builds and Sphinx docs. -#. Run ``tox -e build`` and check that the files in ``dist`` have - the correct version (no ``.dirty`` or git_ hash) according to the git_ tag. - Also check the sizes of the distributions, if they are too big (e.g., > - 500KB), unwanted clutter may have been accidentally included. -#. Run ``tox -e publish -- --repository pypi`` and check that everything was - uploaded to PyPI_ correctly. +Remember it is not your local env that needs to be patched but one of the DJ docker conatainers. +Try running ``docker compose build``` and your ``docker compose up`` should work just fine. +Alembic migration error +---------------------------------------- -.. [#contrib1] Even though, these resources focus on open source projects and - communities, the general ideas behind collaborating with other developers - to collectively create software are general and can be applied to all sorts - of environments, including private companies and proprietary code bases. +If during development your alembic migrations get into a spot where the automatic upgrade (or downgrade) is stuck you may see something +similar to the following output in your ``db_migration`` agent log: +.. code-block:: sh -.. <-- strart --> -.. todo:: Please review and change the following definitions: + db_migration | sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) duplicate column name: categorical_partitions + db_migration | [SQL: ALTER TABLE availabilitystate ADD COLUMN categorical_partitions JSON] + db_migration | (Background on this error at: https://sqlalche.me/e/14/e3q8) + db_migration exited with code 1 -.. |the repository service| replace:: GitHub -.. |contribute button| replace:: "Create pull request" +The easiest way to fix it is to reset your database state using these commands (in another terminal session): -.. _repository: https://github.com//datajunction -.. _issue tracker: https://github.com//datajunction/issues -.. <-- end --> +.. code-block:: sh + $ docker exec -it dj bash + root@...:/code# -.. |virtualenv| replace:: ``virtualenv`` -.. |pre-commit| replace:: ``pre-commit`` -.. |tox| replace:: ``tox`` + root@...:/code# alembic downgrade base + ... + INFO [alembic.runtime.migration] Running downgrade e41c021c19a6 -> , Initial migration + root@...:/code# alembic upgrade head + ... -.. _black: https://pypi.org/project/black/ -.. _CommonMark: https://commonmark.org/ -.. _contribution-guide.org: http://www.contribution-guide.org/ -.. _creating a PR: https://docs.github.com/en/github/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request -.. _descriptive commit message: https://chris.beams.io/posts/git-commit -.. _docstrings: https://www.sphinx-doc.org/en/master/usage/extensions/napoleon.html -.. _first-contributions tutorial: https://github.com/firstcontributions/first-contributions -.. _flake8: https://flake8.pycqa.org/en/stable/ -.. _git: https://git-scm.com -.. _GitHub's fork and pull request workflow: https://guides.github.com/activities/forking/ -.. _guide created by FreeCodeCamp: https://github.com/FreeCodeCamp/how-to-contribute-to-open-source -.. _Miniconda: https://docs.conda.io/en/latest/miniconda.html -.. _MyST: https://myst-parser.readthedocs.io/en/latest/syntax/syntax.html -.. _other kinds of contributions: https://opensource.guide/how-to-contribute -.. _pre-commit: https://pre-commit.com/ -.. _PyPI: https://pypi.org/ -.. _PyScaffold's contributor's guide: https://pyscaffold.org/en/stable/contributing.html -.. _Pytest can drop you: https://docs.pytest.org/en/stable/usage.html#dropping-to-pdb-python-debugger-at-the-start-of-a-test -.. _Python Software Foundation's Code of Conduct: https://www.python.org/psf/conduct/ -.. _reStructuredText: https://www.sphinx-doc.org/en/master/usage/restructuredtext/ -.. _Sphinx: https://www.sphinx-doc.org/en/master/ -.. _tox: https://tox.readthedocs.io/en/stable/ -.. _virtual environment: https://realpython.com/python-virtual-environments-a-primer/ -.. _virtualenv: https://virtualenv.pypa.io/en/stable/ - -.. _GitHub web interface: https://docs.github.com/en/github/managing-files-in-a-repository/managing-files-on-github/editing-files-in-your-repository -.. _GitHub's code editor: https://docs.github.com/en/github/managing-files-in-a-repository/managing-files-on-github/editing-files-in-your-repository +After this, the `docker compose up` command should start the db_migration agent without problems. \ No newline at end of file diff --git a/Makefile b/Makefile deleted file mode 100644 index 8e5a6902a..000000000 --- a/Makefile +++ /dev/null @@ -1,24 +0,0 @@ -pyenv: .python-version - -.python-version: setup.cfg - if [ -z "`pyenv virtualenvs | grep datajunction`" ]; then\ - pyenv virtualenv datajunction;\ - fi - if [ ! -f .python-version ]; then\ - pyenv local datajunction;\ - fi - pip install -e '.[testing]' - touch .python-version - -test: pyenv - pytest --cov=src/datajunction -vv tests/ --doctest-modules src/datajunction - -clean: - pyenv virtualenv-delete datajunction - -spellcheck: - codespell -S "*.json" src/datajunction docs/*rst tests templates - -requirements.txt: .python-version - pip install --upgrade pip - pip-compile --no-annotate diff --git a/README.md b/README.md new file mode 100644 index 000000000..9f4ccdd36 --- /dev/null +++ b/README.md @@ -0,0 +1,51 @@ +# DataJunction + +![test workflow](https://github.com/DataJunction/dj/actions/workflows/test.yml/badge.svg?branch=main) +![client-integration-tests workflow](https://github.com/DataJunction/dj/actions/workflows/client-integration-tests.yml/badge.svg?branch=main) + +## Introduction + +DataJunction (DJ) is an open source **metrics platform** that allows users to define +metrics and the data models behind them using **SQL**, serving as a **semantic layer** +on top of a physical data warehouse. By leveraging this metadata, DJ can enable efficient +retrieval of metrics data across different dimensions and filters. + +[Documentation](http://datajunction.io) + +![DataJunction](docs/images/dj-landing.png) + +## Getting Started + +To launch the DataJunction UI with a minimal DataJunction backend, start the default docker compose environment. + +```sh +docker compose up +``` + +If you'd like to launch the full suite of services, including open-source implementations of the DataJunction query service and +DataJunction reflection service specifications, use the `demo` profile. + +```sh +docker compose --profile demo up +``` + +DJUI: [http://localhost:3000/](http://localhost:3000/) +DJ Swagger Docs: [http://localhost:8000/docs](http://localhost:8000/docs) +DJQS Swagger Docs: [http://localhost:8001/docs](http://localhost:8001/docs) +Jaeger UI: [http://localhost:16686/search](http://localhost:16686/search) +Jupyter Lab: [http://localhost:8181](http://localhost:8181) + +## How does this work? + +At its core, DJ stores metrics and their upstream abstractions as interconnected nodes. +These nodes can represent a variety of elements, such as tables in a data warehouse +(**source nodes**), SQL transformation logic (**transform nodes**), dimensions logic, +metrics logic, and even selections of metrics, dimensions, and filters (**cube nodes**). + +By parsing each node's SQL into an AST and through dimensional links between columns, +DJ can infer a graph of dependencies between nodes, which allows it to find the +appropriate join paths between nodes to generate queries for metrics. + +## The Community + +To get involved, feel free to join the DataJunction open-source community sync that's held ever two weeks--all are welcome! For an invite to the sync, simply join the [datajunction-community](https://groups.google.com/g/datajunction-community) google group. Also please join us on [slack](https://join.slack.com/t/dj-w5m3063/shared_invite/zt-2zazrd9xw-wnjm5a_sIuQ3uqgjS~pO~w)! diff --git a/README.rst b/README.rst deleted file mode 100644 index 42c81eb59..000000000 --- a/README.rst +++ /dev/null @@ -1,67 +0,0 @@ -.. These are examples of badges you might want to add to your README: - please update the URLs accordingly - - .. image:: https://api.cirrus-ci.com/github//datajunction.svg?branch=main - :alt: Built Status - :target: https://cirrus-ci.com/github//datajunction - .. image:: https://readthedocs.org/projects/datajunction/badge/?version=latest - :alt: ReadTheDocs - :target: https://datajunction.readthedocs.io/en/stable/ - .. image:: https://img.shields.io/coveralls/github//datajunction/main.svg - :alt: Coveralls - :target: https://coveralls.io/r//datajunction - .. image:: https://img.shields.io/pypi/v/datajunction.svg - :alt: PyPI-Server - :target: https://pypi.org/project/datajunction/ - .. image:: https://img.shields.io/conda/vn/conda-forge/datajunction.svg - :alt: Conda-Forge - :target: https://anaconda.org/conda-forge/datajunction - .. image:: https://pepy.tech/badge/datajunction/month - :alt: Monthly Downloads - :target: https://pepy.tech/project/datajunction - .. image:: https://img.shields.io/twitter/url/http/shields.io.svg?style=social&label=Twitter - :alt: Twitter - :target: https://twitter.com/datajunction - -.. image:: https://img.shields.io/badge/-PyScaffold-005CA0?logo=pyscaffold - :alt: Project generated with PyScaffold - :target: https://pyscaffold.org/ - -| - -============ -datajunction -============ - - - Add a short description here! - - -A longer description of your project goes here... - - -.. _pyscaffold-notes: - -Making Changes & Contributing -============================= - -This project uses `pre-commit`_, please make sure to install it before making any -changes:: - - pip install pre-commit - cd datajunction - pre-commit install - -It is a good idea to update the hooks to the latest version:: - - pre-commit autoupdate - -Don't forget to tell your contributors to also install and use pre-commit. - -.. _pre-commit: https://pre-commit.com/ - -Note -==== - -This project has been set up using PyScaffold 4.1. For details and usage -information on PyScaffold see https://pyscaffold.org/. diff --git a/TODO.mkd b/TODO.mkd deleted file mode 100644 index 3d03b90e9..000000000 --- a/TODO.mkd +++ /dev/null @@ -1,49 +0,0 @@ -- [ ] Single model for all nodes -- [ ] All nodes in the same directory -- [/] Compile repo, computing the schema of source nodes -- [ ] Auto-map dimensions from the DB schema -- [ ] Compute the schema of downstream nodes -- [ ] Translate metrics into SQL -- [ ] Compute metrics (ie, run query) -- [ ] Compute statistics on columns (histogram, correlation) -- [ ] Move data on JOINs based on column statistics -- [ ] Optimize data transfer (delta-of-delta for timeseries) -- [ ] Virtual dimensions (time, space, user-defined) -- [ ] JS dataframe with time-aware caching and additive-aware, to reuse queries -- [ ] 2 modes of join: Shillelagh and move data - -Models: - -- source -- transform -- dimension -- metric -- population - -Relationships: - -- source -> transform [-> transform ]-> metric -- source -> dimension -> population -- population based on metrics as well? - -DSL for querying: - -- `m=likes,comments&d=user.country&f=userid>10,time>2021-01-01T00:00:00+00:00` - -Examples: - -1. Dimension table in 2 storages (fast/slow), choose fast. -2. Dimension table in 2 storages (fast/slow) but only a few columns in fast; choose slow. -3. Translate query with cross-DB join, `FROM PROGRAM` in Postgres - -SQL input: - -``` -SELECT core.likes FROM metrics -``` - -Gets translated to: - -``` -SELECT COUNT(*) FROM content_actions -``` diff --git a/datajunction-clients/java/.gitignore b/datajunction-clients/java/.gitignore new file mode 100644 index 000000000..b63da4551 --- /dev/null +++ b/datajunction-clients/java/.gitignore @@ -0,0 +1,42 @@ +.gradle +build/ +!gradle/wrapper/gradle-wrapper.jar +!**/src/main/**/build/ +!**/src/test/**/build/ + +### IntelliJ IDEA ### +.idea/modules.xml +.idea/jarRepositories.xml +.idea/compiler.xml +.idea/libraries/ +*.iws +*.iml +*.ipr +out/ +!**/src/main/**/out/ +!**/src/test/**/out/ + +### Eclipse ### +.apt_generated +.classpath +.factorypath +.project +.settings +.springBeans +.sts4-cache +bin/ +!**/src/main/**/bin/ +!**/src/test/**/bin/ + +### NetBeans ### +/nbproject/private/ +/nbbuild/ +/dist/ +/nbdist/ +/.nb-gradle/ + +### VS Code ### +.vscode/ + +### Mac OS ### +.DS_Store \ No newline at end of file diff --git a/datajunction-clients/java/build.gradle b/datajunction-clients/java/build.gradle new file mode 100644 index 000000000..ce3d400e2 --- /dev/null +++ b/datajunction-clients/java/build.gradle @@ -0,0 +1,27 @@ +plugins { + id 'java' +} + +group = 'io.datajunction' +version = '1.0-SNAPSHOT' +sourceCompatibility = '17' +targetCompatibility = '17' + +repositories { + mavenCentral() +} + +dependencies { + implementation group: 'com.fasterxml.jackson.core', name: 'jackson-databind', version: '2.15.2' + compileOnly group: 'org.projectlombok', name: 'lombok', version: '1.18.36' + annotationProcessor group: 'org.projectlombok', name: 'lombok', version: '1.18.36' + + testImplementation platform('org.junit:junit-bom:5.9.1') + testImplementation 'org.junit.jupiter:junit-jupiter' + testCompileOnly group: 'org.projectlombok', name: 'lombok', version: '1.18.36' + testAnnotationProcessor group: 'org.projectlombok', name: 'lombok', version: '1.18.36' +} + +test { + useJUnitPlatform() +} diff --git a/datajunction-clients/java/gradle.properties b/datajunction-clients/java/gradle.properties new file mode 100644 index 000000000..db5b69864 --- /dev/null +++ b/datajunction-clients/java/gradle.properties @@ -0,0 +1 @@ +org.gradle.logging.level=INFO diff --git a/datajunction-clients/java/gradle/wrapper/gradle-wrapper.jar b/datajunction-clients/java/gradle/wrapper/gradle-wrapper.jar new file mode 100644 index 000000000..a4b76b953 Binary files /dev/null and b/datajunction-clients/java/gradle/wrapper/gradle-wrapper.jar differ diff --git a/datajunction-clients/java/gradle/wrapper/gradle-wrapper.properties b/datajunction-clients/java/gradle/wrapper/gradle-wrapper.properties new file mode 100644 index 000000000..e18bc253b --- /dev/null +++ b/datajunction-clients/java/gradle/wrapper/gradle-wrapper.properties @@ -0,0 +1,7 @@ +distributionBase=GRADLE_USER_HOME +distributionPath=wrapper/dists +distributionUrl=https\://services.gradle.org/distributions/gradle-8.12.1-bin.zip +networkTimeout=10000 +validateDistributionUrl=true +zipStoreBase=GRADLE_USER_HOME +zipStorePath=wrapper/dists diff --git a/datajunction-clients/java/gradlew b/datajunction-clients/java/gradlew new file mode 100755 index 000000000..f3b75f3b0 --- /dev/null +++ b/datajunction-clients/java/gradlew @@ -0,0 +1,251 @@ +#!/bin/sh + +# +# Copyright © 2015-2021 the original authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# SPDX-License-Identifier: Apache-2.0 +# + +############################################################################## +# +# Gradle start up script for POSIX generated by Gradle. +# +# Important for running: +# +# (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is +# noncompliant, but you have some other compliant shell such as ksh or +# bash, then to run this script, type that shell name before the whole +# command line, like: +# +# ksh Gradle +# +# Busybox and similar reduced shells will NOT work, because this script +# requires all of these POSIX shell features: +# * functions; +# * expansions «$var», «${var}», «${var:-default}», «${var+SET}», +# «${var#prefix}», «${var%suffix}», and «$( cmd )»; +# * compound commands having a testable exit status, especially «case»; +# * various built-in commands including «command», «set», and «ulimit». +# +# Important for patching: +# +# (2) This script targets any POSIX shell, so it avoids extensions provided +# by Bash, Ksh, etc; in particular arrays are avoided. +# +# The "traditional" practice of packing multiple parameters into a +# space-separated string is a well documented source of bugs and security +# problems, so this is (mostly) avoided, by progressively accumulating +# options in "$@", and eventually passing that to Java. +# +# Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS, +# and GRADLE_OPTS) rely on word-splitting, this is performed explicitly; +# see the in-line comments for details. +# +# There are tweaks for specific operating systems such as AIX, CygWin, +# Darwin, MinGW, and NonStop. +# +# (3) This script is generated from the Groovy template +# https://github.com/gradle/gradle/blob/HEAD/platforms/jvm/plugins-application/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt +# within the Gradle project. +# +# You can find Gradle at https://github.com/gradle/gradle/. +# +############################################################################## + +# Attempt to set APP_HOME + +# Resolve links: $0 may be a link +app_path=$0 + +# Need this for daisy-chained symlinks. +while + APP_HOME=${app_path%"${app_path##*/}"} # leaves a trailing /; empty if no leading path + [ -h "$app_path" ] +do + ls=$( ls -ld "$app_path" ) + link=${ls#*' -> '} + case $link in #( + /*) app_path=$link ;; #( + *) app_path=$APP_HOME$link ;; + esac +done + +# This is normally unused +# shellcheck disable=SC2034 +APP_BASE_NAME=${0##*/} +# Discard cd standard output in case $CDPATH is set (https://github.com/gradle/gradle/issues/25036) +APP_HOME=$( cd -P "${APP_HOME:-./}" > /dev/null && printf '%s\n' "$PWD" ) || exit + +# Use the maximum available, or set MAX_FD != -1 to use that value. +MAX_FD=maximum + +warn () { + echo "$*" +} >&2 + +die () { + echo + echo "$*" + echo + exit 1 +} >&2 + +# OS specific support (must be 'true' or 'false'). +cygwin=false +msys=false +darwin=false +nonstop=false +case "$( uname )" in #( + CYGWIN* ) cygwin=true ;; #( + Darwin* ) darwin=true ;; #( + MSYS* | MINGW* ) msys=true ;; #( + NONSTOP* ) nonstop=true ;; +esac + +CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar + + +# Determine the Java command to use to start the JVM. +if [ -n "$JAVA_HOME" ] ; then + if [ -x "$JAVA_HOME/jre/sh/java" ] ; then + # IBM's JDK on AIX uses strange locations for the executables + JAVACMD=$JAVA_HOME/jre/sh/java + else + JAVACMD=$JAVA_HOME/bin/java + fi + if [ ! -x "$JAVACMD" ] ; then + die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME + +Please set the JAVA_HOME variable in your environment to match the +location of your Java installation." + fi +else + JAVACMD=java + if ! command -v java >/dev/null 2>&1 + then + die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. + +Please set the JAVA_HOME variable in your environment to match the +location of your Java installation." + fi +fi + +# Increase the maximum file descriptors if we can. +if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then + case $MAX_FD in #( + max*) + # In POSIX sh, ulimit -H is undefined. That's why the result is checked to see if it worked. + # shellcheck disable=SC2039,SC3045 + MAX_FD=$( ulimit -H -n ) || + warn "Could not query maximum file descriptor limit" + esac + case $MAX_FD in #( + '' | soft) :;; #( + *) + # In POSIX sh, ulimit -n is undefined. That's why the result is checked to see if it worked. + # shellcheck disable=SC2039,SC3045 + ulimit -n "$MAX_FD" || + warn "Could not set maximum file descriptor limit to $MAX_FD" + esac +fi + +# Collect all arguments for the java command, stacking in reverse order: +# * args from the command line +# * the main class name +# * -classpath +# * -D...appname settings +# * --module-path (only if needed) +# * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables. + +# For Cygwin or MSYS, switch paths to Windows format before running java +if "$cygwin" || "$msys" ; then + APP_HOME=$( cygpath --path --mixed "$APP_HOME" ) + CLASSPATH=$( cygpath --path --mixed "$CLASSPATH" ) + + JAVACMD=$( cygpath --unix "$JAVACMD" ) + + # Now convert the arguments - kludge to limit ourselves to /bin/sh + for arg do + if + case $arg in #( + -*) false ;; # don't mess with options #( + /?*) t=${arg#/} t=/${t%%/*} # looks like a POSIX filepath + [ -e "$t" ] ;; #( + *) false ;; + esac + then + arg=$( cygpath --path --ignore --mixed "$arg" ) + fi + # Roll the args list around exactly as many times as the number of + # args, so each arg winds up back in the position where it started, but + # possibly modified. + # + # NB: a `for` loop captures its iteration list before it begins, so + # changing the positional parameters here affects neither the number of + # iterations, nor the values presented in `arg`. + shift # remove old arg + set -- "$@" "$arg" # push replacement arg + done +fi + + +# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"' + +# Collect all arguments for the java command: +# * DEFAULT_JVM_OPTS, JAVA_OPTS, JAVA_OPTS, and optsEnvironmentVar are not allowed to contain shell fragments, +# and any embedded shellness will be escaped. +# * For example: A user cannot expect ${Hostname} to be expanded, as it is an environment variable and will be +# treated as '${Hostname}' itself on the command line. + +set -- \ + "-Dorg.gradle.appname=$APP_BASE_NAME" \ + -classpath "$CLASSPATH" \ + org.gradle.wrapper.GradleWrapperMain \ + "$@" + +# Stop when "xargs" is not available. +if ! command -v xargs >/dev/null 2>&1 +then + die "xargs is not available" +fi + +# Use "xargs" to parse quoted args. +# +# With -n1 it outputs one arg per line, with the quotes and backslashes removed. +# +# In Bash we could simply go: +# +# readarray ARGS < <( xargs -n1 <<<"$var" ) && +# set -- "${ARGS[@]}" "$@" +# +# but POSIX shell has neither arrays nor command substitution, so instead we +# post-process each arg (as a line of input to sed) to backslash-escape any +# character that might be a shell metacharacter, then use eval to reverse +# that process (while maintaining the separation between arguments), and wrap +# the whole thing up as a single "set" statement. +# +# This will of course break if any of these variables contains a newline or +# an unmatched quote. +# + +eval "set -- $( + printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" | + xargs -n1 | + sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' | + tr '\n' ' ' + )" '"$@"' + +exec "$JAVACMD" "$@" diff --git a/datajunction-clients/java/gradlew.bat b/datajunction-clients/java/gradlew.bat new file mode 100644 index 000000000..9b42019c7 --- /dev/null +++ b/datajunction-clients/java/gradlew.bat @@ -0,0 +1,94 @@ +@rem +@rem Copyright 2015 the original author or authors. +@rem +@rem Licensed under the Apache License, Version 2.0 (the "License"); +@rem you may not use this file except in compliance with the License. +@rem You may obtain a copy of the License at +@rem +@rem https://www.apache.org/licenses/LICENSE-2.0 +@rem +@rem Unless required by applicable law or agreed to in writing, software +@rem distributed under the License is distributed on an "AS IS" BASIS, +@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +@rem See the License for the specific language governing permissions and +@rem limitations under the License. +@rem +@rem SPDX-License-Identifier: Apache-2.0 +@rem + +@if "%DEBUG%"=="" @echo off +@rem ########################################################################## +@rem +@rem Gradle startup script for Windows +@rem +@rem ########################################################################## + +@rem Set local scope for the variables with windows NT shell +if "%OS%"=="Windows_NT" setlocal + +set DIRNAME=%~dp0 +if "%DIRNAME%"=="" set DIRNAME=. +@rem This is normally unused +set APP_BASE_NAME=%~n0 +set APP_HOME=%DIRNAME% + +@rem Resolve any "." and ".." in APP_HOME to make it shorter. +for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi + +@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m" + +@rem Find java.exe +if defined JAVA_HOME goto findJavaFromJavaHome + +set JAVA_EXE=java.exe +%JAVA_EXE% -version >NUL 2>&1 +if %ERRORLEVEL% equ 0 goto execute + +echo. 1>&2 +echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. 1>&2 +echo. 1>&2 +echo Please set the JAVA_HOME variable in your environment to match the 1>&2 +echo location of your Java installation. 1>&2 + +goto fail + +:findJavaFromJavaHome +set JAVA_HOME=%JAVA_HOME:"=% +set JAVA_EXE=%JAVA_HOME%/bin/java.exe + +if exist "%JAVA_EXE%" goto execute + +echo. 1>&2 +echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME% 1>&2 +echo. 1>&2 +echo Please set the JAVA_HOME variable in your environment to match the 1>&2 +echo location of your Java installation. 1>&2 + +goto fail + +:execute +@rem Setup the command line + +set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar + + +@rem Execute Gradle +"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %* + +:end +@rem End local scope for the variables with windows NT shell +if %ERRORLEVEL% equ 0 goto mainEnd + +:fail +rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of +rem the _cmd.exe /c_ return code! +set EXIT_CODE=%ERRORLEVEL% +if %EXIT_CODE% equ 0 set EXIT_CODE=1 +if not ""=="%GRADLE_EXIT_CONSOLE%" exit %EXIT_CODE% +exit /b %EXIT_CODE% + +:mainEnd +if "%OS%"=="Windows_NT" endlocal + +:omega diff --git a/datajunction-clients/java/settings.gradle b/datajunction-clients/java/settings.gradle new file mode 100644 index 000000000..7358c7e2d --- /dev/null +++ b/datajunction-clients/java/settings.gradle @@ -0,0 +1,2 @@ +rootProject.name = 'DataJunction' + diff --git a/datajunction-clients/java/src/main/java/io/datajunction/client/DJClient.java b/datajunction-clients/java/src/main/java/io/datajunction/client/DJClient.java new file mode 100644 index 000000000..8cc3d4127 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/client/DJClient.java @@ -0,0 +1,263 @@ +package io.datajunction.client; + +import java.net.URLEncoder; +import java.net.http.HttpClient; +import java.net.http.HttpRequest; +import java.net.http.HttpResponse; +import java.net.URI; +import java.net.http.HttpRequest.BodyPublishers; +import java.net.http.HttpResponse.BodyHandlers; +import java.nio.charset.StandardCharsets; +import java.util.List; +import java.util.Map; +import java.util.concurrent.CompletableFuture; +import java.util.stream.Collectors; + +import com.fasterxml.jackson.databind.ObjectMapper; +import io.datajunction.models.requests.Catalog; +import io.datajunction.models.requests.Dimension; +import io.datajunction.models.requests.Engine; +import io.datajunction.models.requests.Metric; +import io.datajunction.models.requests.Source; +import io.datajunction.models.requests.Transform; +import io.datajunction.models.responses.CatalogResponse; +import io.datajunction.models.responses.CommonDimensionsResponse; +import io.datajunction.models.responses.DimensionLinkResponse; +import io.datajunction.models.responses.EngineResponse; +import io.datajunction.models.responses.NamespaceResponse; +import io.datajunction.models.responses.NodeResponse; +import io.datajunction.models.responses.SQLResponse; + +public class DJClient { + + private final HttpClient client; + private final String baseURL; + private final ObjectMapper objectMapper; + private String cookie; + + public DJClient(HttpClient client, String baseURL) { + this.client = client; + this.baseURL = baseURL; + this.objectMapper = new ObjectMapper(); + this.cookie = ""; + } + + private CompletableFuture> sendRequest(HttpRequest request) { + return client.sendAsync(request, BodyHandlers.ofString()); + } + + private String toJson(Object object) { + try { + return objectMapper.writeValueAsString(object); + } catch (Exception e) { + throw new RuntimeException("Failed to serialize object to JSON", e); + } + } + + private HttpRequest buildRequest(String endpoint, String method, String body) { + HttpRequest.Builder builder = HttpRequest.newBuilder() + .uri(URI.create(baseURL + endpoint)) + .header("Content-Type", "application/json"); + + if (!cookie.isEmpty()) { + builder.header("Cookie", cookie); + } + + switch (method) { + case "POST": + if (body != null) { + builder.POST(BodyPublishers.ofString(body)); + } else { + builder.POST(BodyPublishers.noBody()); + } + break; + case "PATCH": + if (body != null) { + builder.method("PATCH", BodyPublishers.ofString(body)); + } else { + builder.method("PATCH", BodyPublishers.noBody()); + } + break; + case "GET": + default: + builder.GET(); + break; + } + + return builder.build(); + } + + public CompletableFuture login(String username, String password) { + Map formData = Map.of( + "username", username, + "password", password + ); + String form = formData.entrySet().stream() + .map(entry -> URLEncoder.encode(entry.getKey(), StandardCharsets.UTF_8) + "=" + URLEncoder.encode(entry.getValue(), StandardCharsets.UTF_8)) + .collect(Collectors.joining("&")); + + HttpRequest request = HttpRequest.newBuilder() + .uri(URI.create(baseURL + "/basic/login/")) + .header("Content-Type", "application/x-www-form-urlencoded") + .POST(BodyPublishers.ofString(form)) + .build(); + + return sendRequest(request).thenAccept(response -> { + if (response.statusCode() != 200) { + throw new RuntimeException("Login failed: " + response.statusCode() + " " + response.body()); + } + + List cookies = response.headers().allValues("Set-Cookie"); + if (!cookies.isEmpty()) { + this.cookie = cookies.get(0); + } + }); + } + + public CompletableFuture createCatalog(Catalog catalog) { + String body = toJson(catalog); + HttpRequest request = buildRequest("/catalogs/", "POST", body); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), CatalogResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture createEngine(Engine engine) { + String body = toJson(engine); + HttpRequest request = buildRequest("/engines/", "POST", body); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), EngineResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture addEngineToCatalog(String catalog, Engine engine) { + String body = toJson(List.of(engine)); + HttpRequest request = buildRequest("/catalogs/" + catalog + "/engines/", "POST", body); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), EngineResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture createNamespace(String namespace) { + HttpRequest request = buildRequest("/namespaces/" + namespace + "/", "POST", null); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), NamespaceResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture registerTable(String catalog, String schema, String table) { + HttpRequest request = buildRequest("/register/table/" + catalog + "/" + schema + "/" + table, "POST", null); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), NodeResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture createSource(Source source) { + String body = toJson(source); + HttpRequest request = buildRequest("/nodes/source/", "POST", body); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), NodeResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture createTransform(Transform transform) { + String body = toJson(transform); + HttpRequest request = buildRequest("/nodes/transform/", "POST", body); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), NodeResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture createDimension(Dimension dimension) { + String body = toJson(dimension); + HttpRequest request = buildRequest("/nodes/dimension/", "POST", body); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), NodeResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture linkDimensionToNode(String nodeName, String nodeColumn, String dimension, String dimensionColumn) { + HttpRequest request = buildRequest( + "/nodes/" + nodeName + "/columns/" + nodeColumn + "/?dimension=" + dimension + "&dimension_column=" + dimensionColumn, + "POST", + null + ); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), DimensionLinkResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture createMetric(Metric metric) { + String body = toJson(metric); + HttpRequest request = buildRequest("/nodes/metric/", "POST", body); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), NodeResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture> listCommonDimensions(List metrics) { + String metricsQuery = "?" + String.join("&", metrics.stream().map(m -> "metric=" + m).toList()); + HttpRequest request = buildRequest("/metrics/common/dimensions/" + metricsQuery, "GET", null); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), objectMapper.getTypeFactory().constructCollectionType(List.class, CommonDimensionsResponse.Dimension.class)); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } + + public CompletableFuture getSQL(List metrics, List dimensions, List filters) { + String metricsQuery = "?" + String.join("&", metrics.stream().map(m -> "metrics=" + m).toList()); + String dimensionsQuery = String.join("&", dimensions.stream().map(d -> "dimensions=" + d).toList()); + String filtersQuery = String.join("&", filters.stream().map(f -> "filters=" + f).toList()); + HttpRequest request = buildRequest("/sql/" + metricsQuery + "&" + dimensionsQuery + filtersQuery, "GET", null); + return sendRequest(request).thenApply(response -> { + try { + return objectMapper.readValue(response.body(), SQLResponse.class); + } catch (Exception e) { + throw new RuntimeException("Failed to deserialize response", e); + } + }); + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Catalog.java b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Catalog.java new file mode 100644 index 000000000..166f33b42 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Catalog.java @@ -0,0 +1,13 @@ +package io.datajunction.models.requests; + +import com.fasterxml.jackson.annotation.JsonProperty; +import lombok.Data; + +@Data +public class Catalog { + private String name; + + public Catalog(String name) { + this.name = name; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Column.java b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Column.java new file mode 100644 index 000000000..3e11f428c --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Column.java @@ -0,0 +1,14 @@ +package io.datajunction.models.requests; + +import lombok.Data; + +@Data +public class Column { + private String name; + private String type; + + public Column(String name, String type) { + this.name = name; + this.type = type; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Dimension.java b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Dimension.java new file mode 100644 index 000000000..37434bd5c --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Dimension.java @@ -0,0 +1,32 @@ +package io.datajunction.models.requests; + +import com.fasterxml.jackson.annotation.JsonProperty; +import lombok.Data; +import java.util.List; + +@Data +public class Dimension { + private String name; + @JsonProperty("display_name") + private String displayName; + private String description; + private String mode; + @JsonProperty("primary_key") + private List primaryKey; + private List tags; + private String query; + @JsonProperty("update_if_exists") + private boolean updateIfExists; + + public Dimension(String name, String displayName, String description, String mode, + List primaryKey, List tags, String query, boolean updateIfExists) { + this.name = name; + this.displayName = displayName; + this.description = description; + this.mode = mode; + this.primaryKey = primaryKey; + this.tags = tags; + this.query = query; + this.updateIfExists = updateIfExists; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Engine.java b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Engine.java new file mode 100644 index 000000000..17aeb7c97 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Engine.java @@ -0,0 +1,14 @@ +package io.datajunction.models.requests; + +import lombok.Data; + +@Data +public class Engine { + private String name; + private String version; + + public Engine(String name, String version) { + this.name = name; + this.version = version; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Metric.java b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Metric.java new file mode 100644 index 000000000..926c4fb96 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Metric.java @@ -0,0 +1,26 @@ +package io.datajunction.models.requests; + +import com.fasterxml.jackson.annotation.JsonProperty; +import lombok.Data; + +@Data +public class Metric { + private String name; + @JsonProperty("display_name") + private String displayName; + private String description; + private String mode; + private String query; + @JsonProperty("update_if_exists") + private boolean updateIfExists; + + public Metric(String name, String displayName, String description, String mode, + String query, boolean updateIfExists) { + this.name = name; + this.displayName = displayName; + this.description = description; + this.mode = mode; + this.query = query; + this.updateIfExists = updateIfExists; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Source.java b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Source.java new file mode 100644 index 000000000..038067877 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Source.java @@ -0,0 +1,37 @@ +package io.datajunction.models.requests; + +import com.fasterxml.jackson.annotation.JsonProperty; +import lombok.Data; +import java.util.List; + +@Data +public class Source { + private String name; + private String catalog; + private String schema_; + private String table; + @JsonProperty("display_name") + private String displayName; + private String description; + private List columns; + @JsonProperty("primary_key") + private List primaryKey; + private String mode; + @JsonProperty("update_if_exists") + private boolean updateIfExists; + + public Source(String name, String catalog, String schema_, String table, String displayName, + String description, List columns, List primaryKey, + String mode, boolean updateIfExists) { + this.name = name; + this.catalog = catalog; + this.schema_ = schema_; + this.table = table; + this.displayName = displayName; + this.description = description; + this.columns = columns; + this.primaryKey = primaryKey; + this.mode = mode; + this.updateIfExists = updateIfExists; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Transform.java b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Transform.java new file mode 100644 index 000000000..1504bbe26 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/requests/Transform.java @@ -0,0 +1,26 @@ +package io.datajunction.models.requests; + +import com.fasterxml.jackson.annotation.JsonProperty; +import lombok.Data; + +@Data +public class Transform { + private String name; + @JsonProperty("display_name") + private String displayName; + private String description; + private String mode; + private String query; + @JsonProperty("update_if_exists") + private boolean updateIfExists; + + public Transform(String name, String displayName, String description, String mode, + String query, boolean updateIfExists) { + this.name = name; + this.displayName = displayName; + this.description = description; + this.mode = mode; + this.query = query; + this.updateIfExists = updateIfExists; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/responses/CatalogResponse.java b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/CatalogResponse.java new file mode 100644 index 000000000..329a4592a --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/CatalogResponse.java @@ -0,0 +1,12 @@ +package io.datajunction.models.responses; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import lombok.Data; +import java.util.List; + +@Data +@JsonIgnoreProperties(ignoreUnknown = true) +public class CatalogResponse { + private String name; + private List engines; +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/responses/CommonDimensionsResponse.java b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/CommonDimensionsResponse.java new file mode 100644 index 000000000..bc4c5092f --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/CommonDimensionsResponse.java @@ -0,0 +1,23 @@ +package io.datajunction.models.responses; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import lombok.Data; +import java.util.List; + +@Data +@JsonIgnoreProperties(ignoreUnknown = true) +public class CommonDimensionsResponse { + private List dimensions; + + @Data + @JsonIgnoreProperties(ignoreUnknown = true) + public static class Dimension { + private String name; + private String nodeName; + private String nodeDisplayName; + private List properties; + private String type; + private List path; + private boolean filterOnly; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/responses/DimensionLinkResponse.java b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/DimensionLinkResponse.java new file mode 100644 index 000000000..9139341aa --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/DimensionLinkResponse.java @@ -0,0 +1,10 @@ +package io.datajunction.models.responses; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import lombok.Data; + +@Data +@JsonIgnoreProperties(ignoreUnknown = true) +public class DimensionLinkResponse { + private String message; +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/responses/EngineResponse.java b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/EngineResponse.java new file mode 100644 index 000000000..cfc999303 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/EngineResponse.java @@ -0,0 +1,13 @@ +package io.datajunction.models.responses; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import lombok.Data; + +@Data +@JsonIgnoreProperties(ignoreUnknown = true) +public class EngineResponse { + private String name; + private String version; + private String uri; + private String dialect; +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/responses/NamespaceResponse.java b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/NamespaceResponse.java new file mode 100644 index 000000000..50aaaa403 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/NamespaceResponse.java @@ -0,0 +1,10 @@ +package io.datajunction.models.responses; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import lombok.Data; + +@Data +@JsonIgnoreProperties(ignoreUnknown = true) +public class NamespaceResponse { + private String message; +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/responses/NodeResponse.java b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/NodeResponse.java new file mode 100644 index 000000000..07fde1a47 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/NodeResponse.java @@ -0,0 +1,65 @@ +package io.datajunction.models.responses; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import com.fasterxml.jackson.annotation.JsonProperty; +import lombok.Data; +import java.util.List; + +@Data +@JsonIgnoreProperties(ignoreUnknown = true) +public class NodeResponse { + private String namespace; + private int nodeRevisionId; + private int nodeId; + private String type; + private String name; + private String displayName; + private String version; + private String status; + private String mode; + private Catalog catalog; + @JsonProperty("schema_") + private String schema; + private String table; + private String description; + private String query; + private List columns; + private String updatedAt; + private List parents; + private String createdAt; + private CreatedBy createdBy; + private List tags; + private String currentVersion; + private boolean missingTable; + private Object customMetadata; + + @Data + @JsonIgnoreProperties(ignoreUnknown = true) + public static class Catalog { + private String name; + private List engines; + } + + @Data + @JsonIgnoreProperties(ignoreUnknown = true) + public static class Column { + private String name; + private String displayName; + private String type; + private List attributes; + private Object dimension; + private Object partition; + } + + @Data + @JsonIgnoreProperties(ignoreUnknown = true) + public static class Parent { + private String name; + } + + @Data + @JsonIgnoreProperties(ignoreUnknown = true) + public static class CreatedBy { + private String username; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/main/java/io/datajunction/models/responses/SQLResponse.java b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/SQLResponse.java new file mode 100644 index 000000000..dc7534598 --- /dev/null +++ b/datajunction-clients/java/src/main/java/io/datajunction/models/responses/SQLResponse.java @@ -0,0 +1,25 @@ +package io.datajunction.models.responses; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import lombok.Data; +import java.util.List; + +@Data +@JsonIgnoreProperties(ignoreUnknown = true) +public class SQLResponse { + private String sql; + private List columns; + private String dialect; + private List upstreamTables; + + @Data + @JsonIgnoreProperties(ignoreUnknown = true) + public static class Column { + private String name; + private String type; + private String column; + private String node; + private String semanticEntity; + private String semanticType; + } +} \ No newline at end of file diff --git a/datajunction-clients/java/src/test/java/io/datajunction/client/DJClientTest.java b/datajunction-clients/java/src/test/java/io/datajunction/client/DJClientTest.java new file mode 100644 index 000000000..3b9f7d648 --- /dev/null +++ b/datajunction-clients/java/src/test/java/io/datajunction/client/DJClientTest.java @@ -0,0 +1,121 @@ +package io.datajunction.client; + +import io.datajunction.models.requests.Catalog; +import io.datajunction.models.requests.Column; +import io.datajunction.models.requests.Dimension; +import io.datajunction.models.requests.Engine; +import io.datajunction.models.requests.Metric; +import io.datajunction.models.requests.Source; +import io.datajunction.models.requests.Transform; +import org.junit.jupiter.api.BeforeAll; +import org.junit.jupiter.api.Test; +import static org.junit.jupiter.api.Assertions.assertTrue; + +import java.net.http.HttpClient; +import java.util.List; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; + +public class DJClientTest { + + private static DJClient dj; + + @BeforeAll + public static void setUp() throws Exception { + HttpClient client = HttpClient.newBuilder() + .version(HttpClient.Version.HTTP_1_1) + .build(); + dj = new DJClient(client, "http://localhost:8000"); + + int maxRetries = 5; + int retryDelay = 5; + boolean loginSuccessful = false; + for (int attempt = 1; attempt <= maxRetries; attempt++) { + try { + dj.login("dj", "dj").join(); + loginSuccessful = true; + break; + } catch (Exception e) { + System.err.println("Login attempt " + attempt + " failed: " + e.getMessage()); + if (attempt < maxRetries) { + System.out.println("Retrying in " + retryDelay + " seconds..."); + TimeUnit.SECONDS.sleep(retryDelay); + retryDelay *= 2; + } else { + throw new RuntimeException("Failed to log in after " + maxRetries + " attempts", e); + } + } + } + + if (!loginSuccessful) { + throw new RuntimeException("Failed to log in after " + maxRetries + " attempts"); + } + } + + @Test + public void shouldReturnSomething() throws Exception { + CompletableFuture testFlow = dj.createCatalog(new Catalog("tpch")) + .thenCompose(response -> dj.createEngine(new Engine("trino", "451"))) + .thenCompose(response -> dj.addEngineToCatalog("tpch", new Engine("trino", "451"))) + .thenCompose(response -> dj.createNamespace("integration.tests.trino")) + .thenCompose(response -> dj.createSource(new Source( + "integration.tests.source1", + "unknown", + "db", + "tbl", + "Test Source with Columns", + "A test source node with columns", + List.of( + new Column("id", "int"), + new Column("name", "string"), + new Column("price", "double"), + new Column("created_at", "timestamp") + ), + List.of("id"), + "published", + true + ))) + .thenCompose(response -> dj.registerTable("tpch", "sf1", "orders")) + .thenCompose(response -> dj.createTransform(new Transform( + "integration.tests.trino.transform1", + "Filter to last 1000 records", + "The last 1000 purchases", + "published", + "select custkey, totalprice, orderdate from source.tpch.sf1.orders order by orderdate desc limit 1000", + true + ))) + .thenCompose(response -> dj.createDimension(new Dimension( + "integration.tests.trino.dimension1", + "Customer keys", + "All custkey values in the source table", + "published", + List.of("id"), + List.of(), + "select custkey as id, 'attribute' as foo from source.tpch.sf1.orders", + true + ))) + .thenCompose(response -> dj.linkDimensionToNode( + "integration.tests.trino.transform1", + "custkey", + "integration.tests.trino.dimension1", + "id" + )) + .thenCompose(response -> dj.createMetric(new Metric( + "integration.tests.trino.metric1", + "Total of last 1000 purchases", + "This is the total amount from the last 1000 purchases", + "published", + "select sum(totalprice) from integration.tests.trino.transform1", + true + ))) + .thenCompose(response -> dj.listCommonDimensions(List.of("integration.tests.trino.metric1"))) + .thenCompose(response -> dj.getSQL( + List.of("integration.tests.trino.metric1"), + List.of("integration.tests.trino.dimension1.id"), + List.of() + )) + .thenAccept(query -> assertTrue(query.getSql().contains("SELECT"))); + + testFlow.join(); + } +} diff --git a/datajunction-clients/javascript/.babelrc b/datajunction-clients/javascript/.babelrc new file mode 100644 index 000000000..dc2fcbb01 --- /dev/null +++ b/datajunction-clients/javascript/.babelrc @@ -0,0 +1,8 @@ +{ + "presets": [ + "@babel/preset-env" + ], + "test": [ + "jest" + ] +} diff --git a/datajunction-clients/javascript/.eslintignore b/datajunction-clients/javascript/.eslintignore new file mode 100644 index 000000000..3e39984c5 --- /dev/null +++ b/datajunction-clients/javascript/.eslintignore @@ -0,0 +1 @@ +./dist/* \ No newline at end of file diff --git a/datajunction-clients/javascript/.eslintrc.js b/datajunction-clients/javascript/.eslintrc.js new file mode 100644 index 000000000..fb1c500a3 --- /dev/null +++ b/datajunction-clients/javascript/.eslintrc.js @@ -0,0 +1,13 @@ +module.exports = { + env: { + browser: true, + es2021: true, + }, + extends: 'standard', + overrides: [], + parserOptions: { + ecmaVersion: 'latest', + sourceType: 'module', + }, + rules: {}, +} diff --git a/datajunction-clients/javascript/.gitignore b/datajunction-clients/javascript/.gitignore new file mode 100644 index 000000000..6a7d6d8ef --- /dev/null +++ b/datajunction-clients/javascript/.gitignore @@ -0,0 +1,130 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +lerna-debug.log* +.pnpm-debug.log* + +# Diagnostic reports (https://nodejs.org/api/report.html) +report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json + +# Runtime data +pids +*.pid +*.seed +*.pid.lock + +# Directory for instrumented libs generated by jscoverage/JSCover +lib-cov + +# Coverage directory used by tools like istanbul +coverage +*.lcov + +# nyc test coverage +.nyc_output + +# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) +.grunt + +# Bower dependency directory (https://bower.io/) +bower_components + +# node-waf configuration +.lock-wscript + +# Compiled binary addons (https://nodejs.org/api/addons.html) +build/Release + +# Dependency directories +node_modules/ +jspm_packages/ + +# Snowpack dependency directory (https://snowpack.dev/) +web_modules/ + +# TypeScript cache +*.tsbuildinfo + +# Optional npm cache directory +.npm + +# Optional eslint cache +.eslintcache + +# Optional stylelint cache +.stylelintcache + +# Microbundle cache +.rpt2_cache/ +.rts2_cache_cjs/ +.rts2_cache_es/ +.rts2_cache_umd/ + +# Optional REPL history +.node_repl_history + +# Output of 'npm pack' +*.tgz + +# Yarn Integrity file +.yarn-integrity + +# dotenv environment variable files +.env +.env.development.local +.env.test.local +.env.production.local +.env.local + +# parcel-bundler cache (https://parceljs.org/) +.cache +.parcel-cache + +# Next.js build output +.next +out + +# Nuxt.js build / generate output +.nuxt +dist + +# Gatsby files +.cache/ +# Comment in the public line in if your project uses Gatsby and not Next.js +# https://nextjs.org/blog/next-9-1#public-directory-support +# public + +# vuepress build output +.vuepress/dist + +# vuepress v2.x temp and cache directory +.temp +.cache + +# Docusaurus cache and generated files +.docusaurus + +# Serverless directories +.serverless/ + +# FuseBox cache +.fusebox/ + +# DynamoDB Local files +.dynamodb/ + +# TernJS port file +.tern-port + +# Stores VSCode versions used for testing VSCode extensions +.vscode-test + +# yarn v2 +.yarn/cache +.yarn/unplugged +.yarn/build-state.yml +.yarn/install-state.gz +.pnp.* \ No newline at end of file diff --git a/src/datajunction/cli/__init__.py b/datajunction-clients/javascript/.npmignore similarity index 100% rename from src/datajunction/cli/__init__.py rename to datajunction-clients/javascript/.npmignore diff --git a/datajunction-clients/javascript/.prettierignore b/datajunction-clients/javascript/.prettierignore new file mode 100644 index 000000000..0f7a61c11 --- /dev/null +++ b/datajunction-clients/javascript/.prettierignore @@ -0,0 +1 @@ +./dist \ No newline at end of file diff --git a/datajunction-clients/javascript/.prettierrc b/datajunction-clients/javascript/.prettierrc new file mode 100644 index 000000000..e74ed9ff3 --- /dev/null +++ b/datajunction-clients/javascript/.prettierrc @@ -0,0 +1,6 @@ +{ + "trailingComma": "es5", + "tabWidth": 4, + "semi": false, + "singleQuote": true +} diff --git a/datajunction-clients/javascript/Makefile b/datajunction-clients/javascript/Makefile new file mode 100644 index 000000000..4975c8142 --- /dev/null +++ b/datajunction-clients/javascript/Makefile @@ -0,0 +1,3 @@ +dev-release: + yarn version --prerelease --preid dev --no-git-tag-version + npm publish \ No newline at end of file diff --git a/datajunction-clients/javascript/babel.config.js b/datajunction-clients/javascript/babel.config.js new file mode 100644 index 000000000..11687e217 --- /dev/null +++ b/datajunction-clients/javascript/babel.config.js @@ -0,0 +1 @@ +module.exports = {presets: ['@babel/preset-env']} \ No newline at end of file diff --git a/datajunction-clients/javascript/index.js b/datajunction-clients/javascript/index.js new file mode 100644 index 000000000..2d2f3c0bc --- /dev/null +++ b/datajunction-clients/javascript/index.js @@ -0,0 +1 @@ +module.exports = require('./dist') diff --git a/datajunction-clients/javascript/package-lock.json b/datajunction-clients/javascript/package-lock.json new file mode 100644 index 000000000..b57ea7ea6 --- /dev/null +++ b/datajunction-clients/javascript/package-lock.json @@ -0,0 +1,18296 @@ +{ + "name": "datajunction", + "version": "0.0.46", + "lockfileVersion": 2, + "requires": true, + "packages": { + "": { + "name": "datajunction", + "version": "0.0.46", + "license": "MIT", + "dependencies": { + "@babel/core": 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"semantic-layer" + ], + "author": "DataJunction Authors", + "license": "MIT", + "bugs": { + "url": "https://github.com/DataJunction/dj/issues" + }, + "homepage": "https://github.com/DataJunction/dj#readme", + "devDependencies": { + "@babel/cli": "^7.0.0", + "@babel/core": "^7.0.0", + "@babel/plugin-proposal-object-rest-spread": "^7.0.0", + "@babel/preset-env": "^7.0.0", + "babel-core": "^7.0.0-bridge.0", + "babel-jest": "^23.4.2", + "eslint": "^8.39.0", + "eslint-config-standard": "^17.0.0", + "eslint-plugin-import": "^2.27.5", + "eslint-plugin-n": "^15.7.0", + "eslint-plugin-promise": "^6.1.1", + "jest": "^29.5.0", + "prettier": "^2.8.8", + "webpack": "^5.81.0", + "webpack-cli": "^5.0.2" + }, + "dependencies": { + "@babel/core": "^7.22.5", + "docker-names": "^1.2.1" + } +} diff --git a/datajunction-clients/javascript/src/httpclient.js b/datajunction-clients/javascript/src/httpclient.js new file mode 100644 index 000000000..bd920d3e7 --- /dev/null +++ b/datajunction-clients/javascript/src/httpclient.js @@ -0,0 +1,122 @@ +export default class HttpClient { + constructor(options = {}) { + this._baseURL = options.baseURL || ''; + this._headers = options.headers || {}; + this._cookie = ''; + } + + async _fetchJSON(endpoint, options = {}) { + const res = await fetch(this._baseURL + endpoint, { + ...options, + headers: { + ...this._headers, + 'Cookie': this._cookie, + }, + credentials: 'include', + }); + + const setCookieHeader = res.headers.get('Set-Cookie'); + if (setCookieHeader) { + this._cookie = setCookieHeader; + this._headers['Cookie'] = this._cookie; + } + + if (!res.ok) { + const errorText = await res.text(); + throw new Error(`Request failed: ${res.status} ${errorText}`); + } + + if (options.parseResponse !== false && res.status !== 204) { + return res.json(); + } + + return undefined; + } + + async login(username, password) { + const body = new URLSearchParams({ + grant_type: 'password', + username: username, + password: password, + }); + + const response = await fetch(this._baseURL + '/basic/login', { + method: 'POST', + headers: { + 'Content-Type': 'application/x-www-form-urlencoded', + ...this._headers, + }, + body: body.toString(), + credentials: 'include', + }); + + if (!response.ok) { + const errorText = await response.text(); + throw new Error(`Login failed: ${response.status} ${errorText}`); + } + + const setCookieHeader = response.headers.get('Set-Cookie'); + if (setCookieHeader) { + this._cookie = setCookieHeader; + this._headers['Cookie'] = this._cookie; + } + } + setHeader(key, value) { + this._headers[key] = value + return this + } + + getHeader(key) { + return this._headers[key] + } + + setBasicAuth(username, password) { + this._headers.Authorization = `Basic ${btoa(`${username}:${password}`)}` + return this + } + + setBearerAuth(token) { + this._headers.Authorization = `Bearer ${token}` + return this + } + + async get(endpoint, options = {}) { + return this._fetchJSON(endpoint, { + ...options, + method: 'GET', + }) + } + + async post(endpoint, body, options = {}) { + return this._fetchJSON(endpoint, { + ...options, + body: body ? JSON.stringify(body) : undefined, + method: 'POST', + }) + } + + async put(endpoint, body, options = {}) { + return this._fetchJSON(endpoint, { + ...options, + body: body ? JSON.stringify(body) : undefined, + method: 'PUT', + }) + } + + async patch(endpoint, operations, options = {}) { + return this._fetchJSON(endpoint, { + parseResponse: false, + ...options, + body: JSON.stringify(operations), + method: 'PATCH', + }) + } + + async delete(endpoint, options = {}) { + return this._fetchJSON(endpoint, { + parseResponse: false, + ...options, + method: 'DELETE', + }) + } +} diff --git a/datajunction-clients/javascript/src/index.js b/datajunction-clients/javascript/src/index.js new file mode 100644 index 000000000..ed8d124ab --- /dev/null +++ b/datajunction-clients/javascript/src/index.js @@ -0,0 +1,314 @@ +import HttpClient from './httpclient.js' + +export class DJClient extends HttpClient { + constructor( + baseURL, + namespace, + engineName = null, + engineVersion = null, + httpAgent = null, + ) { + super( + { + baseURL, + }, + httpAgent + ) + this.namespace = namespace + this.engineName = engineName + this.engineVersion = engineVersion + } + + get healthcheck() { + return { + get: () => this.get('/health/'), + } + } + + get catalogs() { + return { + list: () => this.get('/catalogs/'), + get: (catalog) => this.get(`/catalogs/${catalog}/`), + create: (catalog) => + this.setHeader('Content-Type', 'application/json').post( + `/catalogs/`, + catalog + ), + addEngine: (catalog, engineName, engineVersion) => + this.setHeader('Content-Type', 'application/json').post( + `/catalogs/${catalog}/engines/`, + [ + { + name: engineName, + version: engineVersion, + }, + ] + ), + } + } + + get engines() { + return { + list: () => this.get('/engines/'), + get: (engineName, engineVersion) => + this.get(`/engines/${engineName}/${engineVersion}/`), + create: (engine) => this.post('/engines/', engine), + } + } + + get addEngineToCatalog() { + return { + set: (catalogName, engine) => + this.setHeader('Content-Type', 'application/json').post( + `/catalogs/${catalogName}/engines/`, + [engine] + ), + } + } + + get namespaces() { + return { + list: () => this.get('/namespaces/'), + nodes: (namespace) => this.get(`/namespaces/${namespace}/`), + create: (namespace) => + this.setHeader('Content-Type', 'application/json').post( + `/namespaces/${namespace}/` + ), + } + } + + get commonDimensions() { + return { + list: (metrics) => { + const metricsQuery = + '?' + metrics.map((m) => `metric=${m}`).join('&') + return this.get('/metrics/common/dimensions/' + metricsQuery) + }, + } + } + + get nodes() { + return { + get: (nodeName) => this.get(`/nodes/${nodeName}/`), + validate: (nodeDetails) => + this.setHeader('Content-Type', 'application/json').post( + '/nodes/validate/', + nodeDetails + ), + update: (nodeName, nodeDetails) => + this.setHeader('Content-Type', 'application/json').patch( + `/nodes/${nodeName}/`, + nodeDetails + ), + revisions: (nodeName) => this.get(`/nodes/${nodeName}/revisions/`), + downstream: (nodeName) => + this.get(`/nodes/${nodeName}/downstream/`), + upstream: (nodeName) => this.get(`/nodes/${nodeName}/upstream/`), + publish: (nodeName) => this.patch(`/nodes/${nodeName}/`, {'mode': 'published'}) + } + } + + get sources() { + return { + create: (sourceDetails) => + this.setHeader('Content-Type', 'application/json').post( + '/nodes/source/', + sourceDetails + ), + list: () => this.get(`/namespaces/${this.namespace}/?type_=source`), + } + } + + get transforms() { + return { + create: (transformDetails) => + this.setHeader('Content-Type', 'application/json').post( + '/nodes/transform/', + transformDetails + ), + list: () => + this.get(`/namespaces/${this.namespace}/?type_=transform`), + } + } + + get dimensions() { + return { + create: (dimensionDetails) => + this.setHeader('Content-Type', 'application/json').post( + '/nodes/dimension/', + dimensionDetails + ), + list: () => + this.get(`/namespaces/${this.namespace}/?type_=dimension`), + link: (nodeName, nodeColumn, dimension, dimensionColumn) => + this.post( + `/nodes/${nodeName}/columns/${nodeColumn}/?dimension=${dimension}&dimension_column=${dimensionColumn}` + ), + } + } + + get metrics() { + return { + get: (metricName) => this.get(`/metrics/${metricName}/`), + create: (metricDetails) => + this.setHeader('Content-Type', 'application/json').post( + '/nodes/metric/', + metricDetails + ), + list: () => this.get(`/namespaces/${this.namespace}/?type_=metric`), + all: () => this.get(`/metrics/`), + } + } + + get cubes() { + return { + get: (cubeName) => this.get(`/cubes/${cubeName}/`), + create: (cubeDetails) => + this.setHeader('Content-Type', 'application/json').post( + '/nodes/cube/', + cubeDetails + ), + } + } + + get tags() { + return { + list: () => this.get('/tags/'), + get: (tagName) => this.get(`/tags/${tagName}/`), + create: (tagData) => + this.setHeader('Content-Type', 'application/json').post( + '/tags/', + tagData + ), + update: (tagName, tagData) => + this.setHeader('Content-Type', 'application/json').patch( + `/tags/${tagName}/`, + tagData + ), + set: (nodeName, tagName) => + this.post(`/nodes/${nodeName}/tag/?tag_name=${tagName}`), + listNodes: (tagName) => this.get(`/tags/${tagName}/nodes/`), + } + } + + get attributes() { + return { + list: () => this.get('/attributes/'), + create: (attributeData) => + this.setHeader('Content-Type', 'application/json').post( + '/attributes/', + attributeData + ), + } + } + + get materializationConfigs() { + return { + update: (nodeName, materializationDetails) => + this.setHeader('Content-Type', 'application/json').post( + `/nodes/${nodeName}/materialization/`, + materializationDetails + ), + } + } + + get columnAttributes() { + return { + set: (nodeName, columnAttribute) => + this.setHeader('Content-Type', 'application/json').post( + `/nodes/${nodeName}/attributes/`, + [columnAttribute] + ), + } + } + + get availabilityState() { + return { + set: (nodeName, availabilityState) => + this.setHeader('Content-Type', 'application/json').post( + `/data/${nodeName}/availability/`, + availabilityState + ), + } + } + + get sql() { + return { + get: ( + metrics, + dimensions, + filters, + engineName = null, + engineVersion = null + ) => { + const metricsQuery = + '?' + metrics.map((m) => `metrics=${m}`).join('&') + const dimensionsQuery = dimensions + .map((d) => `dimensions=${d}`) + .join('&') + const filtersQuery = filters + .map((f) => `filters=${f}`) + .join('&') + const engineNameP = engineName ? `&engine=${engineName}` : '' + const engineVersionP = engineVersion + ? `&engine_version=${engineVersion}` + : '' + return this.get( + `/sql/${metricsQuery}&${dimensionsQuery}${filtersQuery}${engineNameP}${engineVersionP}` + ) + }, + } + } + + get data() { + return { + get: ( + metrics, + dimensions, + filters, + async_ = false, + engineName = null, + engineVersion = null + ) => { + const metricsQuery = + '?' + metrics.map((m) => `metrics=${m}`).join('&') + const dimensionsQuery = dimensions + .map((d) => `dimensions=${d}`) + .join('&') + const filtersQuery = filters + .map((f) => `filters=${f}`) + .join('&') + const asyncP = async_ ? `&async_=${async_}` : '' + const engineNameP = engineName ? `&engine=${engineName}` : '' + const engineVersionP = engineVersion + ? `&engine_version=${engineVersion}` + : '' + const data = this.get( + `/data/${metricsQuery}&${dimensionsQuery}${filtersQuery}${asyncP}${engineNameP}${engineVersionP}` + ).then((data) => { + return { + columns: data.results[0].columns, + data: data.results[0].rows, + } + }) + return data + }, + } + } + + get register() { + return { + table: (catalog, schema, table) => + this.setHeader('Content-Type', 'application/json').post( + `/register/table/${catalog}/${schema}/${table}` + ), + view: (catalog, schema, view, query, replace = false) => { + const replaceQuery = replace ? `?replace=${replace}` : ''; + return this.setHeader('Content-Type', 'application/json').post( + `/register/view/${catalog}/${schema}/${view}${replaceQuery}`, + { query } + ); + } + } + } +} diff --git a/datajunction-clients/javascript/src/index.test.js b/datajunction-clients/javascript/src/index.test.js new file mode 100644 index 000000000..4483430bb --- /dev/null +++ b/datajunction-clients/javascript/src/index.test.js @@ -0,0 +1,80 @@ +const { DJClient } = require('./index') +var dockerNames = require('docker-names') + +test('should return something', async () => { + const dj = new DJClient('http://localhost:8000', 'integration.tests', 'dj', 'dj'); + await dj.login("dj", "dj") + + await dj.catalogs.create({ name: 'tpch' }); + await dj.engines.create({ name: 'trino', version: '451' }); + await dj.catalogs.addEngine('tpch', 'trino', '451'); + + await dj.namespaces.create('integration.tests'); + await dj.namespaces.create('integration.tests.trino'); + + const source = await dj.sources.create({ + name: 'integration.tests.source1', + catalog: 'unknown', + schema_: 'db', + table: 'tbl', + display_name: 'Test Source with Columns', + description: 'A test source node with columns', + columns: [ + { name: 'id', type: 'int' }, + { name: 'name', type: 'string' }, + { name: 'price', type: 'double' }, + { name: 'created_at', type: 'timestamp' }, + ], + primary_key: ['id'], + mode: 'published', + update_if_exists: true, + }); + + await dj.register.table('tpch', 'sf1', 'orders'); + + const transform = await dj.transforms.create({ + name: 'integration.tests.trino.transform1', + display_name: 'Filter to last 1000 records', + description: 'The last 1000 purchases', + mode: 'published', + query: 'select custkey, totalprice, orderdate from source.tpch.sf1.orders order by orderdate desc limit 1000', + update_if_exists: true, + }); + + const dimension = await dj.dimensions.create({ + name: 'integration.tests.trino.dimension1', + display_name: 'Customer keys', + description: 'All custkey values in the source table', + mode: 'published', + primary_key: ['id'], + tags: [], + query: "select custkey as id, 'attribute' as foo from source.tpch.sf1.orders", + update_if_exists: true, + }); + + await dj.dimensions.link( + 'integration.tests.trino.transform1', + 'custkey', + 'integration.tests.trino.dimension1', + 'id', + ); + + const metric = await dj.metrics.create({ + name: 'integration.tests.trino.metric1', + display_name: 'Total of last 1000 purchases', + description: 'This is the total amount from the last 1000 purchases', + mode: 'published', + query: 'select sum(totalprice) from integration.tests.trino.transform1', + update_if_exists: true, + }); + + await dj.commonDimensions.list(['integration.tests.trino.metric1']); + + const query = await dj.sql.get( + ['integration.tests.trino.metric1'], + ['integration.tests.trino.dimension1.id'], + [] + ); + + expect(query.sql).toContain('SELECT'); +}, 60000) diff --git a/datajunction-clients/javascript/webpack.config.js b/datajunction-clients/javascript/webpack.config.js new file mode 100644 index 000000000..ce3b2ef43 --- /dev/null +++ b/datajunction-clients/javascript/webpack.config.js @@ -0,0 +1,15 @@ +const path = require('path') + +module.exports = { + entry: './src/index.js', + mode: 'production', + output: { + path: path.resolve(__dirname, 'dist'), + filename: 'datajunction.js', + globalObject: 'this', + library: { + name: 'datajunction', + type: 'umd', + }, + }, +} diff --git a/datajunction-clients/python/.coveragerc b/datajunction-clients/python/.coveragerc new file mode 100644 index 000000000..fc5f1571b --- /dev/null +++ b/datajunction-clients/python/.coveragerc @@ -0,0 +1,28 @@ +# .coveragerc to control coverage.py +[run] +branch = True +source = djclient +# omit = bad_file.py + +[paths] +source = + src/ + */site-packages/ + +[report] +# Regexes for lines to exclude from consideration +exclude_lines = + # Have to re-enable the standard pragma + pragma: no cover + + # Don't complain about missing debug-only code: + def __repr__ + if self\.debug + + # Don't complain if tests don't hit defensive assertion code: + raise AssertionError + raise NotImplementedError + + # Don't complain if non-runnable code isn't run: + if 0: + if __name__ == .__main__.: diff --git a/datajunction-clients/python/.gitignore b/datajunction-clients/python/.gitignore new file mode 100644 index 000000000..43c7dc4ea --- /dev/null +++ b/datajunction-clients/python/.gitignore @@ -0,0 +1,55 @@ +# Temporary and binary files +*~ +*.py[cod] +*.so +*.cfg +!.isort.cfg +!setup.cfg +*.orig +*.log +*.pot +__pycache__/* +.cache/* +.*.swp +*/.ipynb_checkpoints/* +.DS_Store + +# Project files +.ropeproject +.project +.pydevproject +.settings +.idea +.vscode +tags + +# Package files +*.egg +*.eggs/ +.installed.cfg +*.egg-info + +# Unittest and coverage +htmlcov/* +.coverage +.coverage.* +.tox +junit*.xml +coverage.xml +.pytest_cache/ + +# Build and docs folder/files +build/* +dist/* +sdist/* +docs/api/* +docs/_rst/* +docs/_build/* +cover/* +MANIFEST + +# Per-project virtualenvs +.venv*/ +.conda*/ +.python-version +.pdm-python diff --git a/datajunction-clients/python/.isort.cfg b/datajunction-clients/python/.isort.cfg new file mode 100644 index 000000000..c8a204d9c --- /dev/null +++ b/datajunction-clients/python/.isort.cfg @@ -0,0 +1,3 @@ +[settings] +profile = black +known_first_party = datajunction diff --git a/datajunction-clients/python/.pre-commit-config.yaml b/datajunction-clients/python/.pre-commit-config.yaml new file mode 100644 index 000000000..a7e4070ce --- /dev/null +++ b/datajunction-clients/python/.pre-commit-config.yaml @@ -0,0 +1,54 @@ +files: ^datajunction-clients/python/ +exclude: ^datajunction-clients/python/dj.project.schema.json + +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: trailing-whitespace + - id: check-ast + exclude: ^templates/ + - id: check-merge-conflict + - id: debug-statements + exclude: ^templates/ + - id: requirements-txt-fixer + exclude: ^templates/ + +- repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.11.10 + hooks: + - id: ruff + args: [ --fix ] + - id: ruff-format + +- repo: https://github.com/pre-commit/mirrors-mypy + rev: 'v0.981' # Use the sha / tag you want to point at + hooks: + - id: mypy + exclude: ^templates/ + additional_dependencies: + - types-requests + - types-freezegun + - types-python-dateutil + - types-setuptools + - types-PyYAML + - types-tabulate + +- repo: https://github.com/asottile/add-trailing-comma + rev: v3.1.0 + hooks: + - id: add-trailing-comma + +- repo: https://github.com/kynan/nbstripout + rev: 0.6.1 + hooks: + - id: nbstripout +- repo: https://github.com/tomcatling/black-nb + rev: "0.7" + hooks: + - id: black-nb + files: '\.ipynb$' +- repo: https://github.com/pdm-project/pdm + rev: 2.6.1 + hooks: + - id: pdm-lock-check diff --git a/datajunction-clients/python/LICENSE.txt b/datajunction-clients/python/LICENSE.txt new file mode 100644 index 000000000..c4b4b0a2e --- /dev/null +++ b/datajunction-clients/python/LICENSE.txt @@ -0,0 +1,21 @@ +The MIT License (MIT) + +Copyright (c) 2021 Beto Dealmeida + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/datajunction-clients/python/Makefile b/datajunction-clients/python/Makefile new file mode 100644 index 000000000..c6dac6262 --- /dev/null +++ b/datajunction-clients/python/Makefile @@ -0,0 +1,13 @@ +check: + pdm run pre-commit run --all-files + +lint: + make check + +test: + pdm run pytest -n auto --cov=datajunction --cov-report term-missing -vv tests/ --doctest-modules datajunction --without-integration --without-slow-integration ${PYTEST_ARGS} + +dev-release: + hatch version dev + hatch build + hatch publish diff --git a/datajunction-clients/python/README.md b/datajunction-clients/python/README.md new file mode 100644 index 000000000..5f1c89925 --- /dev/null +++ b/datajunction-clients/python/README.md @@ -0,0 +1,448 @@ +# DataJunction Python Client + +This is a short introduction into the Python version of the DataJunction (DJ) client. +For a full comprehensive intro into the DJ functionality please check out [datajunction.io](https://datajunction.io/). + +## Installation + +To install: +``` +pip install datajunction +``` + +## Intro + +We have three top level client classes that help you choose the right path for your DataJunction actions. + +1. `DJClient` for basic read only access to metrics, dimensions, SQL and data. +2. `DJBuilder` for those who would like to modify their DJ data model, build new nodes and/or modify the existing ones. +3. `DJAdmin` for the administrators of the system to define the connections to your data catalog and engines. + +## DJ Client : Basic Access + +Here you can see how to access and use the most common DataJunction features. + +### Examples + +To initialize the client: + +```python +from datajunction import DJClient + +dj = DJClient("http://localhost:8000") +``` + +**NOTE** +If you are running in our demo docker environment please change the above URL to "http://dj:8000". + +You are now connected to your DJ service and you can start looking around. Let's see what namespaces we have in the system: + +```python +dj.list_namespaces() + +['default'] +``` + +Next let's see what metrics and dimensions exist in the `default` namespace: + +```python +dj.list_metrics(namespace="default") + +['default.num_repair_orders', + 'default.avg_repair_price', + 'default.total_repair_cost', + 'default.avg_length_of_employment', + 'default.total_repair_order_discounts', + 'default.avg_repair_order_discounts', + 'default.avg_time_to_dispatch'] + +dj.list_dimensions(namespace="default") + +['default.date_dim', + 'default.repair_order', + 'default.contractor', + 'default.hard_hat', + 'default.local_hard_hats', + 'default.us_state', + 'default.dispatcher', + 'default.municipality_dim'] +``` + +Now let's pick two metrics and see what dimensions they have in common: + +```python +dj.common_dimensions( + metrics=["default.num_repair_orders", "default.total_repair_order_discounts"], + name_only=True +) + +['default.dispatcher.company_name', + 'default.dispatcher.dispatcher_id', + 'default.dispatcher.phone', + 'default.hard_hat.address', + 'default.hard_hat.birth_date', + 'default.hard_hat.city', + ... +``` + +And finally let's ask DJ to show us some data for these metrics and some dimensions: + +```python +dj.data( + metrics=["default.num_repair_orders", "default.total_repair_order_discounts"], + dimensions=["default.hard_hat.city"] +) + +| default_DOT_num_repair_orders | default_DOT_total_repair_order_discounts | city | +| ----------------------------- | ---------------------------------------- | ----------- | +| 4 | 5475.110138 | Jersey City | +| 3 | 11483.300049 | Billerica | +| 5 | 6725.170074 | Southgate | +... +``` + +### Reference + +List of all available DJ client methods: + +- DJClient: + + ### list + - list_namespaces( prefix: Optional[str]) + - list_dimensions( namespace: Optional[str]) + - list_metrics( namespace: Optional[str]) + - list_cubes( namespace: Optional[str]) + - list_sources( namespace: Optional[str]) + - list_transforms( namespace: Optional[str]) + - list_nodes( namespace: Optional[str], type_: Optional[NodeType]) + - list_nodes_with_tags( tag_names: List[str], node_type: Optional[NodeType]) + + - list_catalogs() + - list_engines() + + ### find + - common_dimensions( metrics: List[str], name_only: bool = False) + - common_metrics( dimensions: List[str], name_only: bool = False) + + ### execute + - sql( metrics: List[str], + dimensions: Optional[List[str]], + filters: Optional[List[str]], + engine_name: Optional[str], + engine_version: Optional[str]) + - node_sql( node_name: str, + dimensions: Optional[List[str]], + filters: Optional[List[str]], + engine_name: Optional[str], + engine_version: Optional[str]) + - data( metrics: List[str], + dimensions: Optional[List[str]], + filters: Optional[List[str]], + engine_name: Optional[str], + engine_version: Optional[str], + async_: bool = True) + - node_data( node_name: str, + dimensions: Optional[List[str]], + filters: Optional[List[str]], + engine_name: Optional[str], + engine_version: Optional[str], + async_: bool = True) + +## DJ Builder : Data Modelling + +In this section we'll show you few examples to modify the DJ data model and its nodes. + +### Start Here + +To initialize the DJ builder: + +```python +from datajunction import DJBuilder + +djbuilder = DJBuilder("http://localhost:8000") +``` + +**NOTE** +If you are running in our demo docker container please change the above URL to "http://dj:8000". + +### Namespaces + +To access a namespace or check if it exists you can use the same simple call: + +```python +djbuilder.namespace("default") + +Namespace(dj_client=..., namespace='default') +``` +```python +djbuilder.namespace("foo") + +[DJClientException]: Namespace `foo` does not exist. +``` + +To create a namespace: + +```python +djbuilder.create_namespace("foo") + +Namespace(dj_client=..., namespace='foo') +``` + +To delete (or restore) a namespace: + +```python +djbuilder.delete_namespace("foo") + +djbuilder.restore_namespace("foo") +``` + +**NOTE:** +The `cascade` parameter in both of above methods allows for cascading +effect applied to all underlying nodes and namespaces. Use it with caution! + +### Tags + +You can read existing tags as well as create new ones. +```python +djbuilder.tag(name="deprecated", description="This node has been deprecated.", tag_type="standard", tag_metadata={"contact": "Foo Bar"}) + +Tag(dj_client=..., name='deprecated', description='This node has been deprecated.', tag_type='standard', tag_metadata={"contact": "Foo Bar"}) +``` +```python +djbuilder.tag("official") + +[DJClientException]: Tag `official` does not exist. +``` + +To create a tag: + +```python +djbuilder.create_tag(name="deprecated", description="This node has been deprecated.", tag_type="standard", tag_metadata={"contact": "Foo Bar"}) + +Tag(dj_client=..., name="deprecated", description="This node has been deprecated.", tag_type="standard", tag_metadata={"contact": "Foo Bar"}) +``` + +To add a tag to a node: + +```python +repair_orders = djbuilder.source("default.repair_orders") +repair_orders.tags.append(djbuilder.tag("deprecated")) +repair_orders.save() +``` + +And to list the node names with a specific tag (or set of tags): + +```python +djbuilder.list_nodes_with_tags(tag_names=["deprecated"]) # works with DJClient() as well + +["default.repair_orders"] +``` + + +### Nodes + +To learn what **Node** means in the context of DJ, please check out [this datajuntion.io page](https://datajunction.io/docs/0.1.0/dj-concepts/nodes/). + +To list all (or some) nodes in the system you can use the `list_()` methods described +in the **DJ Client : Basic Access** section or you can use the namespace based method: + +All nodes for a given namespace can be found with: +```python +djbuilder.namespace("default").nodes() +``` + +Specific node types can be retrieved with: +```python +djbuilder.namespace("default").sources() +djbuilder.namespace("default").dimensions() +djbuilder.namespace("default").metrics() +djbuilder.namespace("default").transforms() +djbuilder.namespace("default").cubes() +``` + +To create a source node: + +```python +repair_orders = djbuilder.create_source( + name="repair_orders", + display_name="Repair Orders", + description="Repair orders", + catalog="dj", + schema_="roads", + table="repair_orders", +) +``` + +Nodes can also be created in draft mode: + +```python +repair_orders = djbuilder.create_source( + ..., + mode=NodeMode.DRAFT +) +``` + +To create a dimension node: + +```python +repair_order = djbuilder.create_dimension( + name="default.repair_order_dim", + query=""" + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + dispatcher_id + FROM default.repair_orders + """, + description="Repair order dimension", + primary_key=["repair_order_id"], +) +``` + +To create a transform node: +```python +large_revenue_payments_only = djbuilder.create_transform( + name="default.large_revenue_payments_only", + query=""" + SELECT + payment_id, + payment_amount, + customer_id, + account_type + FROM default.revenue + WHERE payment_amount > 1000000 + """, + description="Only large revenue payments", +) +``` + +To create a metric: +```python +num_repair_orders = djbuilder.create_metric( + name="default.num_repair_orders", + query=""" + SELECT + count(repair_order_id) + FROM repair_orders + """, + description="Number of repair orders", +) +``` + +### Reference + +List of all available DJ builder methods: + +- DJBuilder: + + ### namespaces + - namespace( namespace: str) + - create_namespace( namespace: str) + - delete_namespace(self, namespace: str, cascade: bool = False) + - restore_namespace(self, namespace: str, cascade: bool = False) + + ### nodes + - delete_node(self, node_name: str) + - restore_node(self, node_name: str) + + ### nodes: source + - source(self, node_name: str) + - create_source( ..., mode: Optional[NodeMode] = NodeMode.PUBLISHED) + - register_table( catalog: str, schema: str, table: str) + - register_view( catalog: str, schema: str, view: str, query: str, replace: bool = False) + + ### nodes: transform + - transform(self, node_name: str) + - create_transform( ..., mode: Optional[NodeMode] = NodeMode.PUBLISHED) + + ### nodes: dimension + - dimension(self, node_name: str) + - create_dimension( ..., mode: Optional[NodeMode] = NodeMode.PUBLISHED) + + ### nodes: metric + - metric(self, node_name: str) + - create_metric( ..., mode: Optional[NodeMode] = NodeMode.PUBLISHED) + + ### nodes: cube + - cube(self, node_name: str) + - create_cube( ..., mode: Optional[NodeMode] = NodeMode.PUBLISHED) + + +## DJ System Administration + +In this section we'll describe how to manage your catalog and engines. + +### Start Here + +To initialize the DJ admin: + +```python +from datajunction import DJAdmin + +djadmin = DJAdmin("http://localhost:8000") +``` + +**NOTE** +If you are running in our demo docker container please change the above URL to "http://dj:8000". + +### Examples + +To list available catalogs: + +```python +djadmin.list_catalogs() + +['warehouse'] +``` + +To list available engines: + +```python +djadmin.list_engines() + +[{'name': 'duckdb', 'version': '0.7.1'}] +``` + +To create a catalog: + +```python +djadmin.add_catalog(name="my-new-catalog") +``` + +To create a new engine: + +```python +djadmin.add_engine( + name="Spark", + version="3.2.1", + uri="http:/foo", + dialect="spark" +) +``` + +To linke an engine to a catalog: +```python +djadmin.link_engine_to_catalog( + engine="Spark", version="3.2.1", catalog="my-new-catalog" +) +``` + +### Reference + +List of all available DJ builder methods: + +- DJAdmin: + + ### Catalogs + - list_catalogs() # in DJClient + - get_catalog( name: str) + - add_catalog( name: str) + + ### Engines + - list_engines() # in DJClient + - get_engine( name: str) + - add_engine( name: str,version: str, uri: Optional[str], dialect: Optional[str]) + + ### Together + - link_engine_to_catalog( engine_name: str, engine_version: str, catalog: str) diff --git a/datajunction-clients/python/datajunction/__about__.py b/datajunction-clients/python/datajunction/__about__.py new file mode 100644 index 000000000..b4596b950 --- /dev/null +++ b/datajunction-clients/python/datajunction/__about__.py @@ -0,0 +1,5 @@ +""" +Version for Hatch +""" + +__version__ = "0.0.46" diff --git a/datajunction-clients/python/datajunction/__init__.py b/datajunction-clients/python/datajunction/__init__.py new file mode 100644 index 000000000..25b8a0bf6 --- /dev/null +++ b/datajunction-clients/python/datajunction/__init__.py @@ -0,0 +1,69 @@ +""" +A DataJunction client for connecting to a DataJunction server +""" + +from importlib.metadata import PackageNotFoundError, version # pragma: no cover + +from datajunction.admin import DJAdmin +from datajunction.builder import DJBuilder +from datajunction.client import DJClient +from datajunction.compile import Project +from datajunction.deployment import DeploymentService +from datajunction.models import ( + AvailabilityState, + ColumnAttribute, + Engine, + Materialization, + MaterializationJobType, + MaterializationStrategy, + MetricDirection, + MetricMetadata, + MetricUnit, + NodeMode, +) +from datajunction.nodes import ( + Cube, + Dimension, + Metric, + Namespace, + Node, + Source, + Transform, +) +from datajunction.tags import Tag + +try: + # Change here if project is renamed and does not equal the package name + DIST_NAME = __name__ + __version__ = version(DIST_NAME) +except PackageNotFoundError: # pragma: no cover + __version__ = "unknown" +finally: + del version, PackageNotFoundError + + +__all__ = [ + "DJClient", + "DJBuilder", + "DJAdmin", + "AvailabilityState", + "ColumnAttribute", + "Source", + "Dimension", + "Transform", + "Materialization", + "MaterializationJobType", + "MaterializationStrategy", + "Metric", + "MetricDirection", + "MetricMetadata", + "MetricUnit", + "Cube", + "Node", + "NodeMode", + "Namespace", + "Engine", + "Project", + "Tag", + "DeploymentService", +] diff --git a/datajunction-clients/python/datajunction/_base.py b/datajunction-clients/python/datajunction/_base.py new file mode 100644 index 000000000..f293d1337 --- /dev/null +++ b/datajunction-clients/python/datajunction/_base.py @@ -0,0 +1,123 @@ +"""Base client dataclasses.""" + +from dataclasses import MISSING, fields, is_dataclass +from types import UnionType +from typing import ( + TYPE_CHECKING, + Any, + Dict, + Optional, + Type, + TypeVar, + Union, + get_args, + get_origin, +) + +if TYPE_CHECKING: # pragma: no cover + from datajunction.client import DJClient + + +T = TypeVar("T") + + +class SerializableMixin: # pylint: disable=too-few-public-methods + """ + Mixin for serializing dictionaries to dataclasses + """ + + @staticmethod + def _serialize_nested( + field_type: Type, + field_value: Any, + dj_client: Optional["DJClient"], + ): + """ + Handle nested field serialization + """ + if is_dataclass(field_type) and isinstance(field_value, dict): + return field_type.from_dict(dj_client, field_value) + return field_value + + @staticmethod + def _serialize_list( + field_type: Type, + field_value: Any, + dj_client: Optional["DJClient"], + ): + """ + Handle serialization of lists of both primitive and dataclass object types + """ + if not isinstance(field_value, list): + return field_value # Not a list, return as-is + + list_inner_type = get_args(field_type)[0] + type_candidates = ( + list(get_args(list_inner_type)) + if get_origin(list_inner_type) in (Union, UnionType) + else [list_inner_type] + ) + + def serialize_item(item): + for candidate in type_candidates: + try: + return ( + candidate.from_dict(dj_client, item) + if isinstance(item, dict) + else item + ) + except (TypeError, AttributeError): # Ignore and try the next candidate + pass + return item # pragma: no cover + + return [serialize_item(item) for item in field_value] + + @classmethod + def from_dict( + cls: Type[T], + dj_client: Optional["DJClient"], + data: Dict[str, Any], + ) -> T: + """ + Create an instance of the given dataclass `cls` from a dictionary `data`. + This will handle nested dataclasses and optional types. + """ + if not is_dataclass(cls): + return cls(**data) + + field_values = {} + for field in fields(cls): + if field.name == "dj_client": + continue + + # Resolve optional types to their inner type + field_type = field.type + origin = get_origin(field_type) + if origin in (Union, UnionType): + field_type = next( # pragma: no cover + typ + for typ in get_args(field_type) + if typ is not type(None) # noqa + ) + + # Serialize field value + field_value = data.get(field.name) + serialization_func = ( + SerializableMixin._serialize_list + if get_origin(field_type) is list + else SerializableMixin._serialize_nested + ) + field_values[field.name] = serialization_func( + field_type, + field_value, + dj_client, + ) + + # Apply default if necessary + if ( + field.name not in field_values or field_values[field.name] is None + ) and field.default is not MISSING: + field_values[field.name] = field.default + if is_dataclass(cls) and "dj_client" in cls.__dataclass_fields__.keys(): # type: ignore + return cls(dj_client=dj_client, **field_values) # type: ignore + return cls(**field_values) diff --git a/datajunction-clients/python/datajunction/_internal.py b/datajunction-clients/python/datajunction/_internal.py new file mode 100644 index 000000000..81018bbb0 --- /dev/null +++ b/datajunction-clients/python/datajunction/_internal.py @@ -0,0 +1,739 @@ +"""DataJunction base client setup.""" + +# pylint: disable=redefined-outer-name, import-outside-toplevel, too-many-lines +import logging +import os +import platform +import warnings +from dataclasses import asdict, dataclass +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, TypedDict, Union +from urllib.parse import urljoin + +try: + import pandas as pd +except ImportError: # pragma: no cover + warnings.warn( + ( + "Optional dependency `pandas` not found, data retrieval" + "disabled. You can install pandas by running `pip install pandas`." + ), + ImportWarning, + ) +import requests +from requests.adapters import CaseInsensitiveDict, HTTPAdapter + +from datajunction import models +from datajunction._base import SerializableMixin +from datajunction.exceptions import ( + DJClientException, + DJTagAlreadyExists, + DJTagDoesNotExist, +) + +if TYPE_CHECKING: # pragma: no cover + from datajunction.admin import DJAdmin + from datajunction.builder import DJBuilder + from datajunction.nodes import Node + from datajunction.tags import Tag + +DEFAULT_NAMESPACE = "default" +_logger = logging.getLogger(__name__) + + +# +# Helpers +# +def from_jupyter() -> bool: # pragma: no cover + """ + Checks whether we're running from an IPython interactive console + """ + try: + from IPython import get_ipython + except ImportError: + return False + return get_ipython() is not None + + +class Results(TypedDict): + """ + Results in a completed DJ Query + """ + + columns: Tuple[str] + data: Tuple[Tuple] + + +class RequestsSessionWithEndpoint(requests.Session): # pragma: no cover + """ + Creates a requests session that comes with an endpoint that all + subsequent requests will use as a prefix. + """ + + def __init__(self, endpoint: str = None, show_traceback: bool = False): + super().__init__() + self.endpoint = endpoint + self.mount("http://", HTTPAdapter()) + self.mount("https://", HTTPAdapter()) + + self.headers = CaseInsensitiveDict( + { + "User-Agent": ( + f"datajunction;;N/A;" + f"{platform.processor() or platform.machine()};" + f"{platform.system()};" + f"{platform.release()} {platform.version()}" + ), + }, + ) + + self._show_traceback = show_traceback + + if from_jupyter() and not self._show_traceback: + from IPython import get_ipython # pylint: disable=import-error + + def shortened_error(*args, **kwargs): # pylint: disable=unused-argument + import sys + + etype, value, _ = sys.exc_info() + _logger.error("[%s]: %s", etype.__name__, value) + + get_ipython().showtraceback = shortened_error + + def request(self, method, url, *args, **kwargs): + """ + Make the request with the full URL. + """ + url = self.construct_url(url) + try: + response = super().request(method, url, *args, **kwargs) + response.raise_for_status() + return response + except requests.exceptions.RequestException as exc: + if exc.response is None: + # Connection error - no response received + error_message = f"Connection failed: {str(exc)}" + elif exc.response.headers.get("Content-Type") == "application/json": + error_message = exc.response.json() + else: + error_message = f"Request failed {exc.response.status_code}: {str(exc)}" + raise DJClientException(error_message) from exc + + def prepare_request(self, request, *args, **kwargs): + """ + Prepare the request with the full URL. + """ + request.url = self.construct_url(request.url) + return super().prepare_request( + request, + *args, + **kwargs, + ) + + def construct_url(self, url): + """ + Construct full URL based off the endpoint. + """ + return urljoin(self.endpoint, url) + + +# +# Main DJClient (internal) +# +class DJClient: + """ + Internal client class with non-user facing methods. + """ + + def __init__( # pylint: disable=too-many-arguments + self, + uri: str = "http://localhost:8000", + engine_name: str = None, + engine_version: str = None, + requests_session: RequestsSessionWithEndpoint = None, + target_namespace: str = DEFAULT_NAMESPACE, + timeout: int = 2 * 60, + debug: bool = False, + ): + self.target_namespace = target_namespace + self.uri = uri + self.engine_name = engine_name + self.engine_version = engine_version + self._debug = debug + + if not requests_session: # pragma: no cover + self._session = RequestsSessionWithEndpoint( + endpoint=self.uri, + show_traceback=self._debug, + ) + else: # pragma: no cover + self._session = requests_session + self._timeout = timeout + + # + # Authentication + # + def create_user(self, email: str, username: str, password: str): + """ + Create basic user. + """ + response = self._session.post( + "/basic/user/", + json={"email": email, "username": username, "password": password}, + ) + return response.json() + + def basic_login( + self, + username: Optional[str] = None, + password: Optional[str] = None, + ): + """ + Login with basic authentication. + """ + response = self._session.post( + "/basic/login/", + data={ + "username": username or os.getenv("DJ_USER"), + "password": password or os.getenv("DJ_PWD"), + }, + ) + return response + + def deploy(self, deployment_spec: Dict[str, Any]): + """ + Deploy a deployment spec to the target namespace. + """ + response = self._session.post( + "/deployments", + json=deployment_spec, + timeout=self._timeout, + ) + return response.json() + + def check_deployment(self, deployment_uuid: str): + """ + Check the status of a deployment spec in the target namespace. + """ + response = self._session.get( + f"/deployments/{deployment_uuid}", + timeout=self._timeout, + ) + return response.json() + + def get_deployment_impact(self, deployment_spec: Dict[str, Any]): + """ + Get impact analysis for a deployment spec without deploying. + """ + response = self._session.post( + "/deployments/impact", + json=deployment_spec, + timeout=self._timeout, + ) + return response.json() + + @staticmethod + def _primary_key_from_columns(columns) -> List[str]: + """ + Extracts the primary key from the columns + """ + return [ + column["name"] + for column in columns + if any( + attr["attribute_type"]["name"] == "primary_key" + for attr in column["attributes"] + if attr + ) + ] + + @staticmethod + def process_results(results) -> "pd.DataFrame": + """ + Return a pandas dataframe of the results if pandas is installed + """ + if "results" in results and results["results"]: + columns = results["results"][0]["columns"] + rows = results["results"][0]["rows"] + + # Rename columns from the physical names to their semantic names + renamed_columns = [ + col.get("semantic_name") or col.get("semantic_entity") + if col["semantic_type"] != "metric" + else col.get("semantic_name") or col.get("node") or col["name"] + for col in columns + ] + try: + return pd.DataFrame( + rows, + columns=renamed_columns, + ) + except NameError: # pragma: no cover + return Results( + data=rows, + columns=tuple(renamed_columns), # type: ignore + ) + raise DJClientException("No data for query!") + + # + # Node methods + # + def _get_nodes_in_namespace( + self, + namespace: str, + type_: Optional[models.NodeType] = None, + ): + """ + Retrieves all nodes in given namespace. + """ + response = self._session.get( + f"/namespaces/{namespace}/" + (f"?type_={type_.value}" if type_ else ""), + ) + node_details_list = response.json() + if "message" in node_details_list: + raise DJClientException(node_details_list["message"]) + nodes = [n["name"] for n in node_details_list] + return nodes + + def _get_all_nodes( + self, + type_: Optional[models.NodeType] = None, + ): + """ + Retrieve all nodes of a given type. + """ + response = self._session.get( + "/nodes/" + (f"?node_type={type_.value}" if type_ else ""), + ) + return response.json() + + def _verify_node_exists( + self, + node_name: str, + type_: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Retrieves a node and verifies that it exists and has the expected node type. + """ + node = self._get_node(node_name) + if "name" not in node: + raise DJClientException(f"No node with name {node_name} exists!") + if type_ and "name" in node and node["type"] != type_: + raise DJClientException( + f"A node with name {node_name} exists, but it is not a {type_} node!", + ) + return node + + def _validate_node(self, node: "Node"): + """ + Check if a locally defined node is valid. + """ + node_copy = node.to_dict() + node_copy["mode"] = models.NodeMode.PUBLISHED + response = self._session.post( + "/nodes/validate/", + json=node_copy, + timeout=self._timeout, + ) + return response.json() + + def _create_node( + self, + node: "Node", + mode: Optional[models.NodeMode] = models.NodeMode.PUBLISHED, + ): + """ + Helper function to create a node. + Raises an error if node already exists and is active. + """ + node.mode = mode + response = self._session.post( + f"/nodes/{node.type}/", + timeout=self._timeout, + json=node.to_dict(exclude=["type"]), + ) + return response + + def _update_node( + self, + node_name: str, + update_input: models.UpdateNode, + ) -> requests.Response: + """ + Call node update API with attributes to update. + """ + return self._session.patch(f"/nodes/{node_name}/", json=asdict(update_input)) + + def _publish_node(self, node_name: str, update_input: models.UpdateNode): + """ + Retrieves a node. + """ + response = self._session.patch( + f"/nodes/{node_name}/", + json=asdict(update_input), + ) + return response.json() + + def _get_node(self, node_name: str): + """ + Retrieves a node. + """ + response = self._session.get(f"/nodes/{node_name}/") + return response.json() + + def _get_node_upstreams(self, node_name: str): + """ + Retrieves a node's upstreams + """ + response = self._session.get(f"/nodes/{node_name}/upstream") + return response.json() + + def _get_node_downstreams(self, node_name: str): + """ + Retrieves a node's downstreams + """ + response = self._session.get(f"/nodes/{node_name}/downstream") + return response.json() + + def _get_node_dimensions(self, node_name: str): + """ + Retrieves a node's dimensions + """ + response = self._session.get(f"/nodes/{node_name}/dimensions") + return response.json() + + def _get_cube(self, node_name: str): + """ + Retrieves a Cube node. + """ + response = self._session.get(f"/cubes/{node_name}/") + return response.json() + + def get_metric(self, node_name: str): + """ + Helper function to retrieve metadata for the given metric node. + """ + response = self._session.get(f"/metrics/{node_name}/") + return response.json() + + def _get_node_revisions(self, node_name: str): + """ + Retrieve all revisions of the node + """ + response = self._session.get(f"/nodes/{node_name}/revisions") + return response.json() + + def _link_dimension_to_node( + self, + node_name: str, + column_name: str, + dimension_name: str, + dimension_column: Optional[str], + ): + """ + Helper function to link a dimension to the node. + """ + params = {"dimension": dimension_name} + if dimension_column: + params["dimension_column"] = dimension_column + response = self._session.post( + f"/nodes/{node_name}/columns/{column_name}/", + timeout=self._timeout, + params=params, + ) + return response.json() + + def _add_reference_dimension_link( # pylint: disable=too-many-arguments + self, + node_name: str, + node_column: str, + dimension_node: str, + dimension_column: str, + role: Optional[str] = None, + ): + """ + Helper function to link a dimension to the node. + """ + params = { + "dimension_node": dimension_node, + "dimension_column": dimension_column, + **({"role": role} if role else {}), + } + response = self._session.post( + f"/nodes/{node_name}/columns/{node_column}/link", + timeout=self._timeout, + params=params, + ) + return response.json() + + def _link_complex_dimension_to_node( # pylint: disable=too-many-arguments + self, + node_name: str, + dimension_node: str, + join_type: Optional[str] = None, + *, + join_on: str, + join_cardinality: Optional[str] = None, + role: Optional[str] = None, + ): + """ + Helper function to link a complex dimension to the node. + """ + params = { + "dimension_node": dimension_node, + "join_type": join_type or "LEFT", + "join_on": join_on, + "join_cardinality": join_cardinality or "one_to_many", + "role": role, + } + response = self._session.post( + f"/nodes/{node_name}/link/", + timeout=self._timeout, + json=params, + ) + return response.json() + + def _unlink_dimension_from_node( + self, + node_name: str, + column_name: str, + dimension_name: str, + dimension_column: Optional[str] = None, + ): + """ + Helper function to un-link a dimension to the node. + """ + response = self._session.delete( + f"/nodes/{node_name}/columns/{column_name}/" + f"?dimension={dimension_name}&dimension_column={dimension_column}", + timeout=self._timeout, + ) + return response.json() + + def _remove_complex_dimension_link( + self, + node_name: str, + dimension_node: str, + role: Optional[str] = None, + ): + """ + Helper function to remove a complex dimension link. + """ + response = self._session.request( + "DELETE", + f"/nodes/{node_name}/link/", + timeout=self._timeout, + json={ + "dimension_node": dimension_node, + "role": role, + }, + ) + return response.json() + + def _remove_reference_dimension_link( + self, + node_name: str, + node_column: str, + ): + """ + Helper function to remove a reference dimension link from a node column. + """ + response = self._session.delete( + f"/nodes/{node_name}/columns/{node_column}/link", + timeout=self._timeout, + ) + return response.json() + + def _upsert_materialization( + self, + node_name: str, + config: models.Materialization, + ): + """ + Upserts a materialization config for the node. + """ + response = self._session.post( + f"/nodes/{node_name}/materialization/", + json=config.to_dict(), + ) + return response.json() + + def _deactivate_materialization( + self, + node_name: str, + materialization_name: str, + ): + """ + Upserts a materialization config for the node. + """ + response = self._session.delete( + f"/nodes/{node_name}/materializations/", + params={ + "materialization_name": materialization_name, + }, + ) + return response.json() + + def _add_availability_state( + self, + node_name: str, + availability: models.AvailabilityState, + ): + """ + Adds an availability state for the node + """ + response = self._session.post( + f"/data/{node_name}/availability/", + json=asdict(availability), + ) + return response.json() + + def _set_column_attributes( + self, + node_name, + column_name, + attributes: List[models.ColumnAttribute], + ): + """ + Sets attributes for columns on the node + """ + response = self._session.post( + f"/nodes/{node_name}/columns/{column_name}/attributes/", + json=[asdict(attribute) for attribute in attributes], + ) + return response.json() + + def _set_column_display_name( + self, + node_name, + column_name, + display_name: str, + ): + """ + Sets display name for the column on the node + """ + response = self._session.patch( + f"/nodes/{node_name}/columns/{column_name}/", + params={"display_name": display_name}, + ) + return response.json() + + def _set_column_description( + self, + node_name, + column_name, + description: str, + ): + """ + Sets description for the column on the node + """ + response = self._session.patch( + f"/nodes/{node_name}/columns/{column_name}/description/", + params={"description": description}, + ) + return response.json() + + def _find_nodes_with_dimension( + self, + node_name, + ): + """ + Find all nodes with this dimension + """ + response = self._session.get(f"/dimensions/{node_name}/nodes/") + return response.json() + + def _refresh_source_node( + self, + node_name, + ): + """ + Find all nodes with this dimension + """ + response = self._session.post(f"/nodes/{node_name}/refresh/") + return response.json() + + def _export_namespace(self, namespace): + """ + Export an array of definitions contained within a namespace + """ + response = self._session.get(f"/namespaces/{namespace}/export/") + return response.json() + + def _export_namespace_spec(self, namespace): + """ + Export a deployment spec for a namespace + """ + response = self._session.get(f"/namespaces/{namespace}/export/spec/") + return response.json() + + # + # Methods for Tags + # + def _update_tag(self, tag_name: str, update_input: models.UpdateTag): + """ + Call tag update API with attributes to update. + """ + return self._session.patch(f"/tags/{tag_name}/", json=asdict(update_input)) + + def _update_node_tags(self, node_name: str, tags: Optional[List[str]]): + """ + Update tags on a node + """ + return self._session.post( + f"/nodes/{node_name}/tags/", + params={"tag_names": tags} if tags else None, + ) + + def _get_tag(self, tag_name: str): + """ + Retrieves a tag. + """ + try: + response = self._session.get(f"/tags/{tag_name}/") + return response.json() + except DJClientException as exc: # pragma: no cover + return exc.__dict__ + + def _create_tag( + self, + tag: "Tag", + ): + """ + Helper function to create a tag. + Raises an error if tag already exists. + """ + existing_tag = self._get_tag(tag_name=tag.name) + if "name" in existing_tag: + raise DJTagAlreadyExists(tag_name=tag.name) + response = self._session.post( + "/tags/", + timeout=self._timeout, + json=tag.to_dict(), + ) + return response + + def _list_nodes_with_tag( + self, + tag_name: str, + node_type: Optional[models.NodeType] = None, + ): + """ + Retrieves all nodes with a given tag. + """ + response = self._session.get( + f"/tags/{tag_name}/nodes" + + (f"?node_type={node_type.value}" if node_type else ""), + ) + if response.status_code == 404: + raise DJTagDoesNotExist(tag_name) + return [n["name"] for n in response.json()] + + +@dataclass +class ClientEntity(SerializableMixin): + """ + Any entity that uses the DJ client. + """ + + dj_client: Union[DJClient, "DJBuilder", "DJAdmin"] + exclude = ["dj_client"] diff --git a/datajunction-clients/python/datajunction/admin.py b/datajunction-clients/python/datajunction/admin.py new file mode 100644 index 000000000..167c4bff6 --- /dev/null +++ b/datajunction-clients/python/datajunction/admin.py @@ -0,0 +1,125 @@ +"""DataJunction admin client module.""" + +import logging +from typing import Optional + +from datajunction.builder import DJBuilder +from datajunction.exceptions import DJClientException + + +_logger = logging.getLogger(__name__) + + +class DJAdmin(DJBuilder): # pylint: disable=too-many-public-methods + """ + Client class for DJ system administration. + """ + + # + # Data Catalogs + # + def get_catalog(self, name: str) -> dict: + """ + Get catalog by name. + """ + response = self._session.get(f"/catalogs/{name}/", timeout=self._timeout) + return response.json() + + def add_catalog(self, name: str, skip_if_exists: bool = False) -> None: + """ + Add a catalog. + """ + try: + response = self._session.post( + "/catalogs/", + json={"name": f"{name}"}, + timeout=self._timeout, + ) + except DJClientException as exc: # pragma: no cover + if skip_if_exists and "already exists" in str(exc): + _logger.info( + "Catalog `%s` already exists, skipping creation.", + name, + ) + return + raise exc + + if not response.status_code < 400: + raise DJClientException( + f"Adding catalog `{name}` failed: {response.json()}", + ) # pragma: no cover + + # + # Database Engines + # + def get_engine(self, name: str, version: str) -> dict: + """ + Get engine by name. + """ + response = self._session.get( + f"/engines/{name}/{version}", + timeout=self._timeout, + ) + return response.json() + + def add_engine( + self, + name: str, + version: str, + uri: Optional[str] = None, + dialect: Optional[str] = None, + skip_if_exists: bool = False, + ) -> None: + """ + Add an engine. + """ + params = { + "name": f"{name}", + "version": f"{version}", + } + if uri: # pragma: no cover + params["uri"] = f"{uri}" + if dialect: # pragma: no cover + params["dialect"] = f"{dialect}" + + try: + response = self._session.post( + "/engines/", + json=params, + timeout=self._timeout, + ) + except DJClientException as exc: # pragma: no cover + if skip_if_exists and "already exists" in str(exc): + return + raise exc + + if not response.status_code < 400: + raise DJClientException( + f"Adding engine failed: {response.json()}", + ) # pragma: no cover + + def link_engine_to_catalog( + self, + engine: str, + version: str, + catalog: str, + ) -> None: + """ + Add/link a particular engine to a particular catalog. + """ + response = self._session.post( + f"/catalogs/{catalog}/engines/", + json=[ + { + "name": f"{engine}", + "version": f"{version}", + }, + ], + timeout=self._timeout, + ) + json_response = response.json() + if not response.status_code < 400: + raise DJClientException( + f"Linking engine (name: {engine}, version: {version}) " + f"to catalog `{catalog}` failed: {json_response}", + ) # pragma: no cover diff --git a/datajunction-clients/python/datajunction/builder.py b/datajunction-clients/python/datajunction/builder.py new file mode 100644 index 000000000..64b181f60 --- /dev/null +++ b/datajunction-clients/python/datajunction/builder.py @@ -0,0 +1,551 @@ +"""DataJunction builder client module.""" + +# pylint: disable=protected-access +import re +from dataclasses import fields +from http import HTTPStatus +from typing import TYPE_CHECKING, Dict, List, Optional + +from datajunction import models +from datajunction.client import DJClient +from datajunction.exceptions import ( + DJClientException, + DJNamespaceAlreadyExists, + DJTableAlreadyRegistered, + DJTagAlreadyExists, + DJViewAlreadyRegistered, +) +from datajunction.nodes import ( + Cube, + Dimension, + Metric, + Namespace, + Node, + Source, + Transform, +) +from datajunction.tags import Tag + +if TYPE_CHECKING: + from datajunction.compile import ColumnYAML # pragma: no cover + + +class DJBuilder(DJClient): # pylint: disable=too-many-public-methods + """ + Client class for DJ dag and node modifications. + """ + + # + # Namespace + # + def namespace(self, namespace: str) -> "Namespace": + """ + Returns the specified node namespace. + """ + namespaces = self.list_namespaces(prefix=namespace) + if namespace not in namespaces: + raise DJClientException(f"Namespace `{namespace}` does not exist.") + return Namespace(namespace=namespace, dj_client=self) + + def create_namespace( + self, + namespace: str, + skip_if_exists: bool = False, + ) -> "Namespace": + """ + Create a namespace with a given name. + """ + try: + response = self._session.post( + f"/namespaces/{namespace}/", + timeout=self._timeout, + ) + except DJClientException as exc: # pragma: no cover + if "already exists" in str(exc): + if skip_if_exists: + return Namespace(namespace=namespace, dj_client=self) + else: + raise DJNamespaceAlreadyExists(ns_name=namespace) + raise exc + + if response.status_code == 409: + if skip_if_exists: # pragma: no cover + return Namespace(namespace=namespace, dj_client=self) + else: + raise DJNamespaceAlreadyExists(ns_name=namespace) + elif not response.status_code < 400: # pragma: no cover + raise DJClientException(response.json()["message"]) + + return Namespace(namespace=namespace, dj_client=self) + + def delete_namespace( + self, + namespace: str, + cascade: bool = False, + hard: bool = False, + ) -> None: + """ + Delete a namespace by name. + """ + endpoint = ( + f"/namespaces/{namespace}/hard/" if hard else f"/namespaces/{namespace}/" + ) + response = self._session.request( + "DELETE", + endpoint, + timeout=self._timeout, + params={ + "cascade": cascade, + }, + ) + if not response.status_code < 400: + raise DJClientException(response.json()["message"]) + + def restore_namespace(self, namespace: str, cascade: bool = False) -> None: + """ + Restore a namespace by name. + """ + response = self._session.post( + f"/namespaces/{namespace}/restore/", + timeout=self._timeout, + params={ + "cascade": cascade, + }, + ) + if response.status_code != HTTPStatus.CREATED: + raise DJClientException(response.json()["message"]) + + # + # Nodes: all + # + def make_node_of_type( + self, + type_: models.NodeType, + data: Dict, + ): + """ + Make a new node of the given type. + """ + # common arguments + common_args = [ + field.name + for field in fields(Node) + if field.name not in ["dj_client", "type"] + ] + + def type_to_class(type_: str): + if type_ == models.NodeType.SOURCE: + return Source + if type_ == models.NodeType.METRIC: + return Metric + if type_ == models.NodeType.DIMENSION: + return Dimension + if type_ == models.NodeType.TRANSFORM: + return Transform + if type_ == models.NodeType.CUBE: + return Cube + raise DJClientException(f"Unknown node type: {type_}") # pragma: no cover + + class_ = type_to_class(type_) + + args = common_args + [ + field.name for field in fields(class_) if field.name not in common_args + ] + data_ = {k: v for k, v in data.items() if k in args} + return class_(dj_client=self, **data_) + + def create_node( + self, + type_: models.NodeType, + name: str, + data: Dict, + update_if_exists: bool = False, + ): + """ + Create or update a new node + """ + + data = { + k: v + for k, v in data.items() + if k not in ["dj_client", "type"] and v is not None + } + + try: + existing_node_dict = self._get_node(name) + if type_ == models.NodeType.CUBE.value: + cube_dict = self._get_cube(name) + # This check is for the unit tests, which don't raise an exception + # for >= 400 status codes + if "name" in cube_dict: + existing_node_dict["metrics"] = cube_dict["cube_node_metrics"] + existing_node_dict["dimensions"] = cube_dict["cube_node_dimensions"] + except ( + DJClientException + ) as e: # pragma: no cover # pytest fixture doesn't raise + if re.search(r"node .* does not exist", str(e)): + existing_node_dict = None + else: + raise + + # Checking for "name" in existing_node_dict is a workaround + # to accommodate pytest mock client, which return a error message dict (no "name") + # instead of raising like the real client. + if existing_node_dict and "name" in existing_node_dict: + # update + if update_if_exists: + existing_node_dict.update(data) + new_node = self.make_node_of_type( + type_=type_, + data=existing_node_dict, + ) + new_node._update_tags() + new_node._update() + else: + raise DJClientException( + f"Node `{name}` already exists. " + f"Use `update_if_exists=True` to update the node.", + ) + else: + # create + new_node = self.make_node_of_type(type_=type_, data=data) + response = self._create_node(node=new_node, mode=data.get("mode")) + if not response.status_code < 400: + raise DJClientException( + f"Creating node `{name}` failed: {response.json()}", + ) # pragma: no cover + new_node._update_tags() + new_node.refresh() + return new_node + + def delete_node(self, node_name: str, hard: bool = False) -> None: + """ + Delete (aka deactivate) this node. + """ + endpoint = f"/nodes/{node_name}/hard/" if hard else f"/nodes/{node_name}/" + response = self._session.delete( + endpoint, + timeout=self._timeout, + ) + json_response = response.json() + if not response.status_code < 400: + raise DJClientException( + f"Deleting node `{node_name}` failed: {json_response}", + ) # pragma: no cover + + def restore_node(self, node_name: str) -> None: + """ + Restore (aka reactivate) this node. + """ + response = self._session.post( + f"/nodes/{node_name}/restore/", + timeout=self._timeout, + ) + json_response = response.json() + if not response.status_code < 400: + raise DJClientException( + f"Restoring node `{node_name}` failed: {json_response}", + ) # pragma: no cover + + # + # Nodes: SOURCE + # + + def create_source( # pylint: disable=too-many-arguments + self, + name: str, + catalog: Optional[str] = None, + schema: Optional[str] = None, + table: Optional[str] = None, + display_name: Optional[str] = None, + description: Optional[str] = None, + columns: Optional[List["ColumnYAML"]] = None, + primary_key: Optional[List[str]] = None, + tags: Optional[List[str]] = None, + mode: Optional[models.NodeMode] = models.NodeMode.PUBLISHED, + update_if_exists: bool = False, + ) -> "Source": + """ + Creates a new Source node with given parameters. + """ + + return self.create_node( + type_=models.NodeType.SOURCE, + name=name, + data={ + "name": name, + "catalog": catalog, + "schema_": schema, + "table": table, + "display_name": display_name, + "description": description, + "columns": [ + {"name": column.name, "type": column.type} for column in columns + ] + if columns + else [], + "primary_key": primary_key, + "tags": tags, + "mode": mode, + }, + update_if_exists=update_if_exists, + ) # type: ignore + + def register_table(self, catalog: str, schema: str, table: str) -> Source: + """ + Register a table as a source node. This will create a source node under the configured + `source_node_namespace` (a server-side setting), which defaults to the `source` namespace. + """ + try: + response = self._session.post( + f"/register/table/{catalog}/{schema}/{table}/", + ) + except Exception as exc: + if "409 Client Error" in str(exc): + raise DJTableAlreadyRegistered(catalog, schema, table) from exc + raise DJClientException( + f"Failed to register table `{catalog}.{schema}.{table}`: {exc}", + ) from exc + data = response.json() + source_node = Source( + dj_client=self, + name=data["name"], + catalog=data["catalog"], + schema_=data["schema_"], + table=data["table"], + columns=data["columns"], + description=data["description"], + mode=data["mode"], + status=data["status"], + display_name=data["display_name"], + availability=data["availability"], + tags=data["tags"], + materializations=data["materializations"], + version=data["version"], + current_version=data["current_version"], + ) + return source_node + + def register_view( # pylint: disable=too-many-arguments + self, + catalog: str, + schema: str, + view: str, + query: str, + replace: bool = False, + ) -> Source: + """ + Register a table as a source node. This will create a source node under the configured + `source_node_namespace` (a server-side setting), which defaults to the `source` namespace. + """ + try: + response = self._session.post( + f"/register/view/{catalog}/{schema}/{view}/", + params={"query": query, "replace": str(replace)}, + ) + except Exception as exc: + if "409 Client Error" in str(exc): + raise DJViewAlreadyRegistered(catalog, schema, view) from exc + raise DJClientException( + f"Failed to register view `{catalog}.{schema}.{view}`: {exc}", + ) from exc + data = response.json() + source_node = Source( + dj_client=self, + name=data["name"], + catalog=data["catalog"], + schema_=data["schema_"], + table=data["table"], + columns=data["columns"], + description=data["description"], + mode=data["mode"], + status=data["status"], + display_name=data["display_name"], + availability=data["availability"], + tags=data["tags"], + materializations=data["materializations"], + version=data["version"], + current_version=data["current_version"], + ) + return source_node + + # + # Nodes: TRANSFORM + # + def create_transform( # pylint: disable=too-many-arguments + self, + name: str, + query: Optional[str] = None, + description: Optional[str] = None, + display_name: Optional[str] = None, + primary_key: Optional[List[str]] = None, + tags: Optional[List[str]] = None, + mode: Optional[models.NodeMode] = models.NodeMode.PUBLISHED, + custom_metadata: Optional[Dict] = None, + update_if_exists: bool = False, + ) -> "Transform": + """ + Creates or update a Transform node with given parameters. + """ + return self.create_node( + type_=models.NodeType.TRANSFORM, + name=name, + data={ + "name": name, + "query": query, + "description": description, + "display_name": display_name, + "primary_key": primary_key, + "tags": tags, + "mode": mode, + "custom_metadata": custom_metadata, + }, + update_if_exists=update_if_exists, + ) # type: ignore + + # + # Nodes: DIMENSION + # + def create_dimension( # pylint: disable=too-many-arguments + self, + name: str, + query: Optional[str] = None, + primary_key: Optional[List[str]] = None, + description: Optional[str] = None, + display_name: Optional[str] = None, + tags: Optional[List[str]] = None, + mode: Optional[models.NodeMode] = models.NodeMode.PUBLISHED, + update_if_exists: bool = False, + ) -> "Dimension": + """ + Creates or update a Dimension node with given parameters. + """ + return self.create_node( + type_=models.NodeType.DIMENSION, + name=name, + data={ + "name": name, + "query": query, + "description": description, + "display_name": display_name, + "primary_key": primary_key, + "tags": tags, + "mode": mode, + }, + update_if_exists=update_if_exists, + ) # type: ignore + + # + # Nodes: METRIC + # + def create_metric( # pylint: disable=too-many-arguments + self, + name: str, + query: Optional[str] = None, + description: Optional[str] = None, + display_name: Optional[str] = None, + required_dimensions: Optional[List[str]] = None, + direction: Optional[models.MetricDirection] = None, + unit: Optional[models.MetricUnit] = None, + significant_digits: int | None = None, + min_decimal_exponent: int | None = None, + max_decimal_exponent: int | None = None, + tags: Optional[List[str]] = None, + mode: Optional[models.NodeMode] = models.NodeMode.PUBLISHED, + update_if_exists: bool = False, + ) -> "Metric": + """ + Creates or update a Metric node with given parameters. + """ + return self.create_node( + type_=models.NodeType.METRIC, + name=name, + data={ + "name": name, + "query": query, + "description": description, + "display_name": display_name, + "required_dimensions": required_dimensions, + **( + { + "metric_metadata": models.MetricMetadata( + direction=direction, + unit=unit, + significant_digits=significant_digits, + min_decimal_exponent=min_decimal_exponent, + max_decimal_exponent=max_decimal_exponent, + ), + } + if direction or unit + else {} + ), + "tags": tags, + "mode": mode, + }, + update_if_exists=update_if_exists, + ) # type: ignore + + # + # Nodes: CUBE + # + def create_cube( # pylint: disable=too-many-arguments + self, + name: str, + metrics: Optional[List[str]] = None, + dimensions: Optional[List[str]] = None, + filters: Optional[List[str]] = None, + description: Optional[str] = None, + display_name: Optional[str] = None, + mode: Optional[models.NodeMode] = models.NodeMode.PUBLISHED, + tags: Optional[List[str]] = None, + update_if_exists: bool = False, + ) -> "Cube": + """ + Create or update a cube with the given parameters. + """ + return self.create_node( + type_=models.NodeType.CUBE, + name=name, + data={ + "name": name, + "metrics": metrics, + "dimensions": dimensions, + "filters": filters or [], + "description": description, + "display_name": display_name, + "mode": mode, + "tags": tags, + }, + update_if_exists=update_if_exists, + ) # type: ignore + + # + # Tag + # + def create_tag( # pylint: disable=too-many-arguments + self, + name: str, + description: Optional[str], + tag_metadata: Dict, + tag_type: str, + update_if_exists: bool = False, + ) -> Tag: + """ + Create a tag with a given name. + """ + new_tag = Tag( + dj_client=self, + name=name, + description=description, + tag_type=tag_type, + tag_metadata=tag_metadata, + ) + try: + self._create_tag(tag=new_tag) + except DJTagAlreadyExists as exc: + if update_if_exists: + new_tag._update() + else: + raise exc + new_tag.refresh() + return new_tag diff --git a/datajunction-clients/python/datajunction/cli.py b/datajunction-clients/python/datajunction/cli.py new file mode 100644 index 000000000..589d11896 --- /dev/null +++ b/datajunction-clients/python/datajunction/cli.py @@ -0,0 +1,1385 @@ +"""DataJunction command-line tool""" + +import argparse +import json +import logging +import os +from pathlib import Path +from typing import Optional + +from rich import box +from rich.console import Console, Group +from rich.panel import Panel +from rich.syntax import Syntax +from rich.table import Table +from rich.text import Text + +from datajunction import DJBuilder, Project +from datajunction.deployment import DeploymentService +from datajunction.exceptions import DJClientException + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +def display_impact_analysis(impact: dict, console: Console | None = None) -> None: + """ + Display deployment impact analysis with rich formatting. + + Args: + impact: The impact analysis response from the server + console: Optional Rich console for output + """ + console = console or Console() + namespace = impact.get("namespace", "unknown") + + # Header + console.print() + console.print( + f"[bold blue]📊 Impact Analysis for namespace:[/bold blue] [bold green]{namespace}[/bold green]", + ) + console.print("━" * 60) + console.print() + + # Direct Changes Table + changes = impact.get("changes", []) + if changes: + changes_table = Table( + title="[bold]📝 Direct Changes[/bold]", + box=box.ROUNDED, + show_header=True, + header_style="bold cyan", + ) + changes_table.add_column("Operation", style="bold", width=10) + changes_table.add_column("Node", style="magenta") + changes_table.add_column("Type", style="dim", width=12) + changes_table.add_column("Changed Fields", style="white") + + operation_styles = { + "create": ("🟢 Create", "green"), + "update": ("🟡 Update", "yellow"), + "delete": ("🔴 Delete", "red"), + "noop": ("⚪ Skip", "dim"), + } + + for change in changes: + op = change.get("operation", "unknown") + op_display, op_color = operation_styles.get(op, (op.upper(), "white")) + changed_fields = ", ".join(change.get("changed_fields", [])) or "-" + changes_table.add_row( + f"[{op_color}]{op_display}[/{op_color}]", + change.get("name", ""), + change.get("node_type", ""), + changed_fields, + ) + + console.print(changes_table) + console.print() + + # Summary for direct changes + create_count = impact.get("create_count", 0) + update_count = impact.get("update_count", 0) + delete_count = impact.get("delete_count", 0) + skip_count = impact.get("skip_count", 0) + + summary_parts = [] + if create_count: + summary_parts.append( + f"[green]{create_count} create{'s' if create_count != 1 else ''}[/green]", + ) + if update_count: + summary_parts.append( + f"[yellow]{update_count} update{'s' if update_count != 1 else ''}[/yellow]", + ) + if delete_count: + summary_parts.append( + f"[red]{delete_count} delete{'s' if delete_count != 1 else ''}[/red]", + ) + if skip_count: + summary_parts.append(f"[dim]{skip_count} skipped[/dim]") + + if summary_parts: + console.print(f"[bold]Summary:[/bold] {', '.join(summary_parts)}") + console.print() + + # Column Changes (if any) + column_changes_found = [] + for change in changes: + for col_change in change.get("column_changes", []): + column_changes_found.append( + { + "node": change.get("name"), + **col_change, + }, + ) + + if column_changes_found: + col_table = Table( + title="[bold]⚡ Column Changes[/bold]", + box=box.ROUNDED, + show_header=True, + header_style="bold cyan", + ) + col_table.add_column("Node", style="magenta") + col_table.add_column("Change", style="bold", width=10) + col_table.add_column("Details", style="white") + + change_type_styles = { + "added": ("🟢 Added", "green"), + "removed": ("🔴 Removed", "red"), + "type_changed": ("🟡 Type Changed", "yellow"), + } + + for col in column_changes_found: + change_type = col.get("change_type", "unknown") + display, color = change_type_styles.get( + change_type, + (change_type.upper(), "white"), + ) + + if change_type == "type_changed": + details = f"'{col.get('column')}': {col.get('old_type')} → {col.get('new_type')}" + elif change_type == "removed": + details = f"Column '{col.get('column')}' removed" + else: + details = f"Column '{col.get('column')}' added" + + col_table.add_row( + col.get("node", ""), + f"[{color}]{display}[/{color}]", + details, + ) + + console.print(col_table) + console.print() + + # Downstream Impact + downstream_impacts = impact.get("downstream_impacts", []) + if downstream_impacts: + impact_table = Table( + title="[bold]🔗 Downstream Impact[/bold]", + box=box.ROUNDED, + show_header=True, + header_style="bold cyan", + ) + impact_table.add_column("Node", style="magenta") + impact_table.add_column("Impact", style="bold", width=18) + impact_table.add_column("Reason", style="white") + + impact_styles = { + "will_invalidate": ("❌ Will Invalidate", "bold red"), + "may_affect": ("⚠️ May Affect", "yellow"), + "unchanged": ("✓ Unchanged", "dim"), + } + + for downstream in downstream_impacts: + impact_type = downstream.get("impact_type", "unknown") + display, style = impact_styles.get( + impact_type, + (impact_type.upper(), "white"), + ) + impact_table.add_row( + downstream.get("name", ""), + f"[{style}]{display}[/{style}]", + downstream.get("impact_reason", ""), + ) + + console.print(impact_table) + console.print() + + # Downstream summary + will_invalidate = impact.get("will_invalidate_count", 0) + may_affect = impact.get("may_affect_count", 0) + + impact_summary = [] + if will_invalidate: + impact_summary.append(f"[red]{will_invalidate} will invalidate[/red]") + if may_affect: + impact_summary.append(f"[yellow]{may_affect} may be affected[/yellow]") + + if impact_summary: + console.print( + f"[bold]Downstream Summary:[/bold] {', '.join(impact_summary)}", + ) + console.print() + else: + console.print("[green]✅ No downstream impact detected.[/green]") + console.print() + + # Warnings + warnings = impact.get("warnings", []) + if warnings: + console.print("[bold red]⚠️ Warnings:[/bold red]") + for warning in warnings: + console.print(f" [yellow]• {warning}[/yellow]") + console.print() + else: + console.print("[green]✅ No warnings.[/green]") + console.print() + + # Final verdict + has_issues = ( + impact.get("will_invalidate_count", 0) > 0 + or len(warnings) > 0 + or delete_count > 0 + ) + + if has_issues: + console.print( + "[yellow bold]⚠️ Review the warnings and downstream impacts before deploying.[/yellow bold]", + ) + else: + console.print("[green bold]✅ Ready to deploy![/green bold]") + + console.print() + + +class DJCLI: + """DJ command-line tool""" + + def __init__(self, builder_client: DJBuilder | None = None): + """ + Initialize the CLI with a builder client. + + If DJ_URL environment variable is set, it will be used as the server URL. + """ + # Track if client was passed in (e.g., for testing) - skip login in that case + self._client_provided = builder_client is not None + if builder_client is None: + # Read DJ_URL from environment, default to localhost:8000 + dj_url = os.environ.get("DJ_URL", "http://localhost:8000") + builder_client = DJBuilder(uri=dj_url) + self.builder_client = builder_client + self.deployment_service = DeploymentService(client=self.builder_client) + + def push(self, directory: str, namespace: str | None = None): + """ + Alias for deploy without dryrun. + """ + self.deployment_service.push(directory, namespace=namespace) + + def dryrun( + self, + directory: str, + namespace: str | None = None, + format: str = "text", + ): + """ + Perform a dry run of deployment, showing impact analysis. + """ + console = Console() + + try: + impact = self.deployment_service.get_impact(directory, namespace=namespace) + + if format == "json": + print(json.dumps(impact, indent=2)) + else: + console.print(f"[bold]Analyzing deployment from:[/bold] {directory}") + console.print() + display_impact_analysis(impact, console=console) + except DJClientException as exc: + error_data = exc.args[0] if exc.args else str(exc) + message = ( + error_data.get("message", str(exc)) + if isinstance(error_data, dict) + else str(exc) + ) + if format == "json": + print(json.dumps({"error": message}, indent=2)) + else: + console.print(f"[red bold]ERROR:[/red bold] {message}") + + def pull(self, namespace: str, directory: str): + """ + Export nodes from a specific namespace. + """ + print(f"Exporting namespace {namespace} to {directory}...") + self.deployment_service.pull( + namespace=namespace, + target_path=directory, + ) + print(f"Finished exporting namespace {namespace} to {directory}.") + + def delete_node(self, node_name: str, hard: bool = False): + """ + Delete a node. + """ + delete_type = "deleting" if hard else "deactivating" + print(f"{delete_type.capitalize()} node {node_name}...") + self.builder_client.delete_node(node_name, hard=hard) + print(f"Finished {delete_type} node {node_name}.") + + def delete_namespace( + self, + namespace: str, + cascade: bool = False, + hard: bool = False, + ): + """ + Delete a namespace. + """ + delete_type = "deleting" if hard else "deactivating" + cascade_msg = " with cascade" if cascade else "" + print(f"{delete_type.capitalize()} namespace {namespace}{cascade_msg}...") + self.builder_client.delete_namespace(namespace, cascade=cascade, hard=hard) + print(f"Finished {delete_type} namespace {namespace}.") + + def describe(self, node_name: str, format: str = "text"): + """ + Describe a node with detailed information. + """ + try: + node = self.builder_client.node(node_name) + + if format == "json": + # Output as JSON + node_dict = { + "name": node.name, + "type": node.type, + "description": node.description, + "display_name": getattr(node, "display_name", None), + "query": getattr(node, "query", None), + "columns": [ + {"name": col.name, "type": col.type} for col in node.columns + ] + if hasattr(node, "columns") and node.columns + else [], + "status": node.status, + "mode": node.mode, + "version": getattr(node, "version", None), + } + print(json.dumps(node_dict, indent=2)) + else: + # Output as formatted text + print(f"\n{'=' * 60}") + print(f"Node: {node.name}") + print(f"{'=' * 60}") + print(f"Type: {node.type}") + print(f"Description: {node.description or 'N/A'}") + print(f"Status: {node.status}") + print(f"Mode: {node.mode}") + print(f"Display Name: {node.display_name or 'N/A'}") + print(f"Version: {node.version}") + if node.primary_key: + print(f"Primary Key: {node.primary_key}") + + if node.query: + print(f"\nQuery:\n{'-' * 60}") + print(node.query) + + if node.columns and node.type not in ["metric", "cube"]: + print(f"\nColumns:\n{'-' * 60}") + for col in node.columns: + print(f" {col.name:<30} {col.type}") + if node.type == "cube": + print(f"\nDimensions:\n{'-' * 60}") + for dim in node.dimensions: + print(f" {dim}") + print(f"\nMetrics:\n{'-' * 60}") + for metric in node.metrics: + print(f" {metric}") + if node.filters: # pragma: no cover + print(f"\nFilters:\n{'-' * 60}") + for filter_ in node.filters: + print(f" {filter_}") + print(f"{'=' * 60}\n") + except DJClientException as exc: + error_data = exc.args[0] if exc.args else str(exc) + message = ( + error_data.get("message", str(exc)) + if isinstance(error_data, dict) + else str(exc) + ) + print(f"ERROR: {message}") + + def list_objects( + self, + object_type: str, + namespace: Optional[str] = None, + format: str = "text", + ): + """ + List objects (namespaces, metrics, dimensions, etc.) + """ + try: + results = [] + if object_type == "namespaces": + results = self.builder_client.list_namespaces(prefix=namespace) + elif object_type == "metrics": + results = self.builder_client.list_metrics(namespace=namespace) + elif object_type == "dimensions": + results = self.builder_client.list_dimensions(namespace=namespace) + elif object_type == "cubes": + results = self.builder_client.list_cubes(namespace=namespace) + elif object_type == "sources": + results = self.builder_client.list_sources(namespace=namespace) + elif object_type == "transforms": + results = self.builder_client.list_transforms(namespace=namespace) + elif object_type == "nodes": # pragma: no cover + results = self.builder_client.list_nodes(namespace=namespace) + + if format == "json": + print(json.dumps(results, indent=2)) + else: + if results: + print(f"\n{object_type.capitalize()}:") + print("-" * 60) + for item in results: + print(f" {item}") + print(f"\nTotal: {len(results)}\n") + else: + print( + f"No {object_type} found" + + (f" in `{namespace}`" if namespace else ""), + ) + except DJClientException as exc: # pragma: no cover + error_data = exc.args[0] if exc.args else str(exc) + message = ( + error_data.get("message", str(exc)) + if isinstance(error_data, dict) + else str(exc) + ) + print(f"ERROR: {message}") + + def get_sql( + self, + node_name: Optional[str] = None, + metrics: Optional[list[str]] = None, + dimensions: Optional[list[str]] = None, + filters: Optional[list[str]] = None, + orderby: Optional[list[str]] = None, + limit: Optional[int] = None, + dialect: Optional[str] = None, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + ): + """ + Generate SQL for a node or metrics. + """ + console = Console() + try: + if metrics: + # Use v3 metrics SQL API + result = self.builder_client.sql( + metrics=metrics, + dimensions=dimensions, + filters=filters, + orderby=orderby, + limit=limit, + dialect=dialect, + ) + elif node_name: + # Use node SQL API + result = self.builder_client.node_sql( + node_name=node_name, + dimensions=dimensions, + filters=filters, + engine_name=engine_name, + engine_version=engine_version, + ) + else: + console.print( + "[bold red]ERROR:[/bold red] Either node_name or --metrics must be provided", + ) + return + + # Handle error responses (dict) vs SQL string + if isinstance(result, dict): + message = result.get("message", str(result)) + console.print(f"[bold red]ERROR:[/bold red] {message}") + else: + syntax = Syntax( + result.strip(), + "sql", + theme="ansi_light", + line_numbers=False, + background_color=None, + ) + console.print(syntax) + except Exception as exc: # pragma: no cover + logger.error("Error generating SQL: %s", exc) + raise + + def show_plan( + self, + metrics: list[str], + dimensions: Optional[list[str]] = None, + filters: Optional[list[str]] = None, + dialect: Optional[str] = None, + format: str = "text", + ): + """ + Show query execution plan for metrics. + """ + try: + plan = self.builder_client.plan( + metrics=metrics, + dimensions=dimensions, + filters=filters, + dialect=dialect, + ) + if format == "json": + print(json.dumps(plan, indent=2)) + else: + self._print_plan_text(plan) + except Exception as exc: # pragma: no cover + logger.error("Error generating plan: %s", exc) + raise + + def _print_plan_text(self, plan: dict): + """Format and print the query plan using rich formatting.""" + console = Console() + + # Header info + formulas = plan.get("metric_formulas", []) + metric_names = [mf.get("name", "") for mf in formulas] + dims = plan.get("requested_dimensions", []) + dialect = plan.get("dialect", "spark") + + # Summary table + summary = Table(show_header=False, box=None, padding=(0, 2)) + summary.add_column(style="bold") + summary.add_column(style="dim") + summary.add_row( + "Metrics", + ", ".join(metric_names) if metric_names else "(none)", + ) + summary.add_row("Dimensions", ", ".join(dims) if dims else "(none)") + summary.add_row("Dialect", dialect) + + console.print( + Panel(summary, title="[bold]Query Execution Plan[/bold]", border_style=""), + ) + + # Grain Groups + grain_groups = plan.get("grain_groups", []) + console.print(f"\n[bold]Grain Groups ({len(grain_groups)})[/bold]") + + for i, gg in enumerate(grain_groups, 1): + parent = gg.get("parent_name", "") + grain = ", ".join(gg.get("grain", [])) + aggregability = gg.get("aggregability", "") + metrics = ", ".join(gg.get("metrics", [])) + + # Components table with SQL syntax highlighting for expressions + comp_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") + comp_table.add_column("Component") + comp_table.add_column("Expression") + comp_table.add_column("Agg") + comp_table.add_column("Merge") + + for comp in gg.get("components", []): + expr = comp.get("expression", "") + agg = comp.get("aggregation") or "-" + merge = comp.get("merge") or "-" + # Use SQL syntax highlighting for expressions and aggregations + expr_syntax = ( + Syntax(expr, "sql", theme="ansi_light", background_color=None) + if expr + else "" + ) + agg_syntax = ( + Syntax(agg, "sql", theme="ansi_light", background_color=None) + if agg != "-" + else "-" + ) + merge_syntax = ( + Syntax(merge, "sql", theme="ansi_light", background_color=None) + if merge != "-" + else "-" + ) + comp_table.add_row( + comp.get("name", ""), + expr_syntax, + agg_syntax, + merge_syntax, + ) + + # Group info + info = Text() + info.append("Grain: ", style="bold") + info.append(f"{grain}\n", style="dim") + info.append("Metrics: ", style="bold") + info.append(f"{metrics}\n", style="dim") + info.append("Aggregability: ", style="bold") + info.append(f"{aggregability}", style="dim") + + # Combine info and components table into a single group inside the Panel + components_header = Text("\nComponents:", style="bold") + panel_content = Group(info, components_header, comp_table) + + console.print( + Panel( + panel_content, + title=f"[bold green]Group {i}[/bold green]: {parent}", + border_style="", + ), + ) + + # SQL with syntax highlighting (light theme, no background) + sql = gg.get("sql", "") + if sql: + syntax = Syntax( + sql.strip(), + "sql", + theme="ansi_light", + line_numbers=False, + background_color=None, + ) + console.print(Panel(syntax, title="[bold]SQL", border_style="dim")) + + # Metric Formulas - table with Metric and Formula columns + console.print(f"\n[bold]Metric Formulas ({len(formulas)})[/bold]") + + formula_table = Table( + box=box.ROUNDED, + show_header=True, + header_style="bold", + expand=True, + show_lines=True, # Add lines between rows + ) + formula_table.add_column("Metric", no_wrap=True) + formula_table.add_column("Formula", overflow="fold") + + for mf in formulas: + formula = mf.get("combiner", "") + # Use SQL syntax highlighting for the formula + formula_syntax = ( + Syntax( + formula, + "sql", + theme="ansi_light", + background_color=None, + word_wrap=True, + ) + if formula + else "" + ) + formula_table.add_row( + mf.get("name", ""), + formula_syntax, + ) + + console.print(formula_table) + console.print() + + def show_lineage( + self, + node_name: str, + direction: str = "both", + format: str = "text", + ): + """ + Show lineage (upstream/downstream dependencies) for a node. + """ + try: + node = self.builder_client.node(node_name) + + upstreams = [] + downstreams = [] + + if direction in ["upstream", "both"]: + upstreams = node.get_upstreams() if node.type != "source" else [] + + if direction in ["downstream", "both"]: + downstreams = node.get_downstreams() if node.type != "cube" else [] + + if format == "json": + lineage = { + "node": node_name, + "upstream": upstreams, + "downstream": downstreams, + } + print(json.dumps(lineage, indent=2)) + else: + print(f"\n{'=' * 60}") + print(f"Lineage for: {node_name}") + print(f"{'=' * 60}") + + if direction in ["upstream", "both"]: + print(f"\nUpstream dependencies ({len(upstreams)}):") + print("-" * 60) + if upstreams: + for upstream in upstreams: + print(f" ← {upstream}") + else: + print(" (none)") + + if direction in ["downstream", "both"]: + print(f"\nDownstream dependencies ({len(downstreams)}):") + print("-" * 60) + if downstreams: + for downstream in downstreams: + print(f" → {downstream}") + else: + print(" (none)") + + print(f"{'=' * 60}\n") + except Exception as exc: # pragma: no cover + logger.error("Error fetching lineage: %s", exc) + raise + + def list_node_dimensions(self, node_name: str, format: str = "text"): + """ + List available dimensions for a node (typically a metric). + """ + try: + # Use the internal API to get dimensions + dimensions = self.builder_client._get_node_dimensions(node_name) + + if format == "json": + print(json.dumps(dimensions, indent=2)) + else: + print(f"\n{'=' * 60}") + print(f"Available dimensions for: {node_name}") + print(f"{'=' * 60}\n") + + if dimensions: + for dim in dimensions: + dim_name = dim.get("name", "") + dim_type = dim.get("type", "") + node_name_attr = dim.get("node_name", "") + path = dim.get("path", []) + + print(f" • {dim_name}") + print(f" Type: {dim_type}") + print(f" Node: {node_name_attr}") + print(f" Path: {' → '.join(path)}") + print() + + print(f"Total: {len(dimensions)} dimensions\n") + else: + print(" No dimensions available.\n") + + print(f"{'=' * 60}\n") + except Exception as exc: # pragma: no cover + logger.error("Error fetching dimensions: %s", exc) + raise + + def get_data( + self, + node_name: Optional[str] = None, + metrics: Optional[list[str]] = None, + dimensions: Optional[list[str]] = None, + filters: Optional[list[str]] = None, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + limit: Optional[int] = None, + format: str = "table", + ): + """ + Fetch and display data for a node or metrics. + """ + console = Console() + # Default to 1000 rows to avoid unbounded queries + effective_limit = limit if limit is not None else 1000 + try: + if metrics: + # Use metrics data API + result = self.builder_client.data( + metrics=metrics, + dimensions=dimensions, + filters=filters, + engine_name=engine_name, + engine_version=engine_version, + limit=effective_limit, + ) + elif node_name: + # Use node data API + result = self.builder_client.node_data( + node_name=node_name, + dimensions=dimensions, + filters=filters, + engine_name=engine_name, + engine_version=engine_version, + limit=effective_limit, + ) + else: + console.print( + "[bold red]ERROR:[/bold red] Either node_name or --metrics must be provided", + ) + return + + # Handle error responses + if isinstance(result, dict) and "message" in result: + console.print(f"[bold red]ERROR:[/bold red] {result['message']}") + return + + # result should be a DataFrame (already limited by API) + if format == "json": + print(result.to_json(orient="records", indent=2)) + elif format == "csv": + print(result.to_csv(index=False)) + else: + # Table format using Rich + table = Table( + box=box.ROUNDED, + show_header=True, + header_style="bold cyan", + ) + + # Add columns + for col in result.columns: + table.add_column(str(col)) + + # Add rows + for idx, row in result.iterrows(): + table.add_row(*[str(v) for v in row.values]) + + console.print(table) + + # Show row count info + total_rows = len(result) + if total_rows == effective_limit: + console.print( + f"\n[dim]Showing {total_rows} rows (limit: {effective_limit}). " + f"Use --limit to adjust.[/dim]", + ) + else: + console.print(f"\n[dim]{total_rows} row(s)[/dim]") + + except Exception as exc: # pragma: no cover + logger.error("Error fetching data: %s", exc) + console.print(f"[bold red]ERROR:[/bold red] {exc}") + raise + + def create_parser(self): + """Creates the CLI arg parser""" + parser = argparse.ArgumentParser(prog="dj", description="DataJunction CLI") + subparsers = parser.add_subparsers(dest="command", required=True) + + # `dj deploy --dryrun` + deploy_parser = subparsers.add_parser( + "deploy", + help="Deploy node YAML definitions from a directory", + ) + deploy_parser.add_argument( + "directory", + help="Path to the directory containing YAML files", + ) + deploy_parser.add_argument( + "--dryrun", + action="store_true", + help="Perform a dry run (show impact analysis without deploying)", + ) + deploy_parser.add_argument( + "--format", + type=str, + default="text", + choices=["text", "json"], + help="Output format for dry run (default: text)", + ) + + # `dj push ` - primary deployment command + push_parser = subparsers.add_parser( + "push", + help="Push node YAML definitions from a directory to DJ server", + ) + push_parser.add_argument( + "directory", + help="Path to the directory containing YAML files", + ) + push_parser.add_argument( + "--namespace", + type=str, + default=None, + help="The namespace to push to (optionally overrides the namespace in the YAML files)", + ) + push_parser.add_argument( + "--dryrun", + action="store_true", + help="Perform a dry run (show impact analysis without deploying)", + ) + push_parser.add_argument( + "--format", + type=str, + default="text", + choices=["text", "json"], + help="Output format for dry run (default: text)", + ) + # Deployment source tracking flags + push_parser.add_argument( + "--repo", + type=str, + default=None, + help="Git repository URL for deployment tracking (overrides DJ_DEPLOY_REPO env var)", + ) + push_parser.add_argument( + "--branch", + type=str, + default=None, + help="Git branch name (overrides DJ_DEPLOY_BRANCH env var)", + ) + push_parser.add_argument( + "--commit", + type=str, + default=None, + help="Git commit SHA (overrides DJ_DEPLOY_COMMIT env var)", + ) + push_parser.add_argument( + "--ci-system", + type=str, + default=None, + help="CI system name, e.g. 'github_actions', 'jenkins' (overrides DJ_DEPLOY_CI_SYSTEM)", + ) + push_parser.add_argument( + "--ci-run-url", + type=str, + default=None, + help="URL to the CI run/build (overrides DJ_DEPLOY_CI_RUN_URL env var)", + ) + + # `dj pull ` + pull_parser = subparsers.add_parser( + "pull", + help="Pull nodes from a namespace to YAML", + ) + pull_parser.add_argument("namespace", help="The namespace to pull from") + pull_parser.add_argument( + "directory", + help="Path to the directory to output YAML files", + ) + + # `dj seed --type=system` or `dj seed` (for short) + seed_parser = subparsers.add_parser("seed", help="Seed DJ system nodes") + seed_parser.add_argument( + "--type", + type=str, + default="system", + help="The type of nodes to seed (defaults to `system`)", + ) + + # `dj delete-node --hard` + delete_node_parser = subparsers.add_parser( + "delete-node", + help="Delete (deactivate) or hard delete a node", + ) + delete_node_parser.add_argument( + "node_name", + help="The name of the node to delete", + ) + delete_node_parser.add_argument( + "--hard", + action="store_true", + help="Hard delete the node (completely removes it, use with caution)", + ) + + # `dj delete-namespace --cascade --hard` + delete_namespace_parser = subparsers.add_parser( + "delete-namespace", + help="Delete (deactivate) or hard delete a namespace", + ) + delete_namespace_parser.add_argument( + "namespace", + help="The name of the namespace to delete", + ) + delete_namespace_parser.add_argument( + "--cascade", + action="store_true", + help="Delete all nodes in the namespace as well", + ) + delete_namespace_parser.add_argument( + "--hard", + action="store_true", + help="Hard delete the namespace (completely removes it, use with caution)", + ) + + # `dj describe --format json` + describe_parser = subparsers.add_parser( + "describe", + help="Describe a node with detailed information", + ) + describe_parser.add_argument( + "node_name", + help="The name of the node to describe", + ) + describe_parser.add_argument( + "--format", + type=str, + default="text", + choices=["text", "json"], + help="Output format (default: text)", + ) + + # `dj list --namespace --format json` + list_parser = subparsers.add_parser( + "list", + help="List objects (namespaces, metrics, dimensions, cubes, sources, transforms, nodes)", + ) + list_parser.add_argument( + "type", + choices=[ + "namespaces", + "metrics", + "dimensions", + "cubes", + "sources", + "transforms", + "nodes", + ], + help="Type of objects to list", + ) + list_parser.add_argument( + "--namespace", + type=str, + default=None, + help="Filter by namespace (for nodes) or prefix (for namespaces)", + ) + list_parser.add_argument( + "--format", + type=str, + default="text", + choices=["text", "json"], + help="Output format (default: text)", + ) + + # `dj sql ` or `dj sql --metrics m1 m2` + sql_parser = subparsers.add_parser( + "sql", + help="Generate SQL for a node or metrics", + ) + sql_parser.add_argument( + "node_name", + nargs="?", + default=None, + help="The name of the node (for single-node SQL)", + ) + sql_parser.add_argument( + "--metrics", + nargs=argparse.ONE_OR_MORE, + type=str, + default=None, + help="List of metrics (for multi-metric SQL using v3 API)", + ) + sql_parser.add_argument( + "--dimensions", + nargs=argparse.ZERO_OR_MORE, + type=str, + default=[], + help="List of dimensions", + ) + sql_parser.add_argument( + "--filters", + nargs=argparse.ZERO_OR_MORE, + type=str, + default=[], + help="List of filters", + ) + sql_parser.add_argument( + "--orderby", + nargs=argparse.ZERO_OR_MORE, + type=str, + default=[], + help="List of ORDER BY clauses (for metrics SQL)", + ) + sql_parser.add_argument( + "--limit", + type=int, + default=None, + help="Limit number of rows (for metrics SQL)", + ) + sql_parser.add_argument( + "--dialect", + type=str, + default=None, + help="SQL dialect (e.g., spark, trino)", + ) + sql_parser.add_argument( + "--engine", + type=str, + default=None, + help="Engine name (for node SQL, deprecated - use --dialect)", + ) + sql_parser.add_argument( + "--engine-version", + type=str, + default=None, + help="Engine version (for node SQL)", + ) + + # `dj plan --metrics --dimensions --filters ` + plan_parser = subparsers.add_parser( + "plan", + help="Show query execution plan for metrics", + ) + plan_parser.add_argument( + "--metrics", + nargs=argparse.ONE_OR_MORE, + type=str, + required=True, + help="List of metric names", + ) + plan_parser.add_argument( + "--dimensions", + nargs=argparse.ZERO_OR_MORE, + type=str, + default=[], + help="List of dimensions", + ) + plan_parser.add_argument( + "--filters", + nargs=argparse.ZERO_OR_MORE, + type=str, + default=[], + help="List of filters", + ) + plan_parser.add_argument( + "--dialect", + type=str, + default=None, + help="SQL dialect (e.g., spark, trino)", + ) + plan_parser.add_argument( + "--format", + type=str, + default="text", + choices=["text", "json"], + help="Output format (default: text)", + ) + + # `dj lineage --direction upstream|downstream|both --format json` + lineage_parser = subparsers.add_parser( + "lineage", + help="Show lineage (upstream/downstream dependencies) for a node", + ) + lineage_parser.add_argument("node_name", help="The name of the node") + lineage_parser.add_argument( + "--direction", + type=str, + default="both", + choices=["upstream", "downstream", "both"], + help="Direction of lineage to show (default: both)", + ) + lineage_parser.add_argument( + "--format", + type=str, + default="text", + choices=["text", "json"], + help="Output format (default: text)", + ) + + # `dj dimensions --format json` + dimensions_parser = subparsers.add_parser( + "dimensions", + help="List available dimensions for a node", + ) + dimensions_parser.add_argument("node_name", help="The name of the node") + dimensions_parser.add_argument( + "--format", + type=str, + default="text", + choices=["text", "json"], + help="Output format (default: text)", + ) + + # `dj data ` or `dj data --metrics m1 m2` + data_parser = subparsers.add_parser( + "data", + help="Fetch and display data for a node or metrics", + ) + data_parser.add_argument( + "node_name", + nargs="?", + default=None, + help="The name of the node (for single-node data)", + ) + data_parser.add_argument( + "--metrics", + nargs=argparse.ONE_OR_MORE, + type=str, + default=None, + help="List of metrics (for multi-metric data)", + ) + data_parser.add_argument( + "--dimensions", + nargs=argparse.ZERO_OR_MORE, + type=str, + default=[], + help="List of dimensions to group by", + ) + data_parser.add_argument( + "--filters", + nargs=argparse.ZERO_OR_MORE, + type=str, + default=[], + help="List of filters (e.g., 'default.date.year = 2024')", + ) + data_parser.add_argument( + "--engine", + type=str, + default=None, + help="Engine name for query execution", + ) + data_parser.add_argument( + "--engine-version", + type=str, + default=None, + help="Engine version for query execution", + ) + data_parser.add_argument( + "--limit", + type=int, + default=None, + help="Limit number of rows returned", + ) + data_parser.add_argument( + "--format", + type=str, + default="table", + choices=["table", "json", "csv"], + help="Output format (default: table)", + ) + + return parser + + def dispatch_command(self, args, parser): + """ + Dispatches the command based on the parsed args + """ + if args.command == "deploy": + # deploy is similar to push but supports --dryrun + if args.dryrun: + self.dryrun(args.directory, format=args.format) + return + self.push(args.directory) + elif args.command == "push": + # Handle dry run first + if args.dryrun: + self.dryrun( + args.directory, + namespace=args.namespace, + format=args.format, + ) + return + # CLI flags override env vars for deployment source tracking + if args.repo: + os.environ["DJ_DEPLOY_REPO"] = args.repo + if args.branch: + os.environ["DJ_DEPLOY_BRANCH"] = args.branch + if args.commit: + os.environ["DJ_DEPLOY_COMMIT"] = args.commit + if args.ci_system: + os.environ["DJ_DEPLOY_CI_SYSTEM"] = args.ci_system + if args.ci_run_url: + os.environ["DJ_DEPLOY_CI_RUN_URL"] = args.ci_run_url + self.push(args.directory, namespace=args.namespace) + elif args.command == "pull": + self.pull(args.namespace, args.directory) + elif args.command == "seed": + self.seed() + elif args.command == "delete-node": + self.delete_node(args.node_name, hard=args.hard) + elif args.command == "delete-namespace": + self.delete_namespace(args.namespace, cascade=args.cascade, hard=args.hard) + elif args.command == "describe": + self.describe(args.node_name, format=args.format) + elif args.command == "list": + self.list_objects(args.type, namespace=args.namespace, format=args.format) + elif args.command == "sql": + self.get_sql( + node_name=args.node_name, + metrics=args.metrics, + dimensions=args.dimensions, + filters=args.filters, + orderby=args.orderby, + limit=args.limit, + dialect=args.dialect, + engine_name=args.engine, + engine_version=args.engine_version, + ) + elif args.command == "plan": + self.show_plan( + metrics=args.metrics, + dimensions=args.dimensions, + filters=args.filters, + dialect=args.dialect, + format=args.format, + ) + elif args.command == "lineage": + self.show_lineage( + args.node_name, + direction=args.direction, + format=args.format, + ) + elif args.command == "dimensions": + self.list_node_dimensions(args.node_name, format=args.format) + elif args.command == "data": + self.get_data( + node_name=args.node_name, + metrics=args.metrics, + dimensions=args.dimensions, + filters=args.filters, + engine_name=args.engine, + engine_version=args.engine_version, + limit=args.limit, + format=args.format, + ) + else: + parser.print_help() # pragma: no cover + + def run(self): + """ + Parse arguments and run the appropriate command. + """ + parser = self.create_parser() + args = parser.parse_args() + # Skip login if client was provided (e.g., for testing with pre-authenticated client) + if not self._client_provided: + self.builder_client.basic_login() # pragma: no cover + self.dispatch_command(args, parser) + + def seed(self, type: str = "nodes"): + """ + Seed DJ system nodes + """ + tables = [ + "node", + "noderevision", + "users", + "materialization", + "node_owners", + "availabilitystate", + "backfill", + "collection", + "dimensionlink", + ] + for table in tables: + try: + logger.info("Registering table: %s", table) + self.builder_client.register_table("dj_metadata", "public", table) + except DJClientException as exc: # pragma: no cover + if "already exists" in str(exc): # pragma: no cover + logger.info("Already exists: %s", table) # pragma: no cover + else: # pragma: no cover + logger.error( # pragma: no cover + "Error registering tables: %s", + exc, + ) + logger.info("Finished registering DJ system metadata tables") + + logger.info("Loading DJ system nodes...") + script_dir = Path(__file__).resolve().parent + project_dir = script_dir / "seed" / type + project = Project.load(str(project_dir)) + logger.info("Finished loading DJ system nodes.") + + logger.info("Compiling DJ system nodes...") + compiled_project = project.compile() + logger.info("Finished compiling DJ system nodes.") + + logger.info("Deploying DJ system nodes...") + compiled_project.deploy(client=self.builder_client) + logger.info("Finished deploying DJ system nodes.") + + +def main(builder_client: DJBuilder | None = None): + """ + Main entrypoint for DJ CLI + """ + cli = DJCLI(builder_client=builder_client) + cli.run() + + +if __name__ == "__main__": + main() diff --git a/datajunction-clients/python/datajunction/client.py b/datajunction-clients/python/datajunction/client.py new file mode 100644 index 000000000..d5d1a6bde --- /dev/null +++ b/datajunction-clients/python/datajunction/client.py @@ -0,0 +1,556 @@ +# pylint: disable=too-many-public-methods +"""DataJunction main client module.""" + +import time +from typing import Any, Dict, List, Optional, Set, Union +from urllib.parse import urlencode + +from alive_progress import alive_bar + +from datajunction import _internal, models +from datajunction.exceptions import DJClientException, DJTagDoesNotExist +from datajunction.nodes import Cube, Dimension, Metric, Source, Transform +from datajunction.tags import Tag + + +class DJClient(_internal.DJClient): + """ + Client class for basic DJ dag and data access. + """ + + # + # List basic objects: namespaces, dimensions, metrics, cubes + # + def list_namespaces(self, prefix: Optional[str] = None) -> List[str]: + """ + List namespaces starting with a given prefix. + """ + namespaces = self._session.get("/namespaces/").json() + namespace_list = [n["namespace"] for n in namespaces] + if prefix: + namespace_list = [n for n in namespace_list if n.startswith(prefix)] + return namespace_list + + def list_dimensions(self, namespace: Optional[str] = None) -> List[str]: + """ + List dimension nodes for a given namespace or all. + """ + if namespace: + return self._get_nodes_in_namespace( + namespace=namespace, + type_=models.NodeType.DIMENSION, + ) + return self._get_all_nodes(type_=models.NodeType.DIMENSION) + + def list_metrics(self, namespace: Optional[str] = None) -> List[str]: + """ + List metric nodes for a given namespace or all. + """ + if namespace: + return self._get_nodes_in_namespace( + namespace=namespace, + type_=models.NodeType.METRIC, + ) + return self._get_all_nodes(type_=models.NodeType.METRIC) + + def list_cubes(self, namespace: Optional[str] = None) -> List[str]: + """ + List cube nodes for a given namespace or all. + """ + if namespace: + return self._get_nodes_in_namespace( + namespace=namespace, + type_=models.NodeType.CUBE, + ) + return self._get_all_nodes(type_=models.NodeType.CUBE) + + # + # List other nodes: sources, transforms, all. + # + def list_sources(self, namespace: Optional[str] = None) -> List[str]: + """ + List source nodes for a given namespace or all. + """ + if namespace: + return self._get_nodes_in_namespace( + namespace=namespace, + type_=models.NodeType.SOURCE, + ) + return self._get_all_nodes(type_=models.NodeType.SOURCE) + + def list_transforms(self, namespace: Optional[str] = None) -> List[str]: + """ + List transform nodes for a given namespace or all. + """ + if namespace: + return self._get_nodes_in_namespace( + namespace=namespace, + type_=models.NodeType.TRANSFORM, + ) + return self._get_all_nodes(type_=models.NodeType.TRANSFORM) + + def list_nodes( + self, + type_: Optional[models.NodeType] = None, + namespace: Optional[str] = None, + ) -> List[str]: + """ + List any nodes for a given node type and/or namespace. + """ + if namespace: + return self._get_nodes_in_namespace( + namespace=namespace, + type_=type_, + ) + return self._get_all_nodes(type_=type_) + + # + # Get common metrics and dimensions + # + def common_dimensions( + self, + metrics: List[str], + name_only: bool = False, + ) -> List[Union[str, dict]]: # pragma: no cover # Tested in integration tests + """ + Return common dimensions for a set of metrics. + """ + query_params = [] + for metric in metrics: + query_params.append((models.NodeType.METRIC.value, metric)) + json_response = self._session.get( + f"/metrics/common/dimensions/?{urlencode(query_params)}", + ).json() + if name_only: + return [dimension["name"] for dimension in json_response] + return json_response + + def common_metrics( + self, + dimensions: List[str], + name_only: bool = False, + ) -> List[Union[str, dict]]: # pragma: no cover # Tested in integration tests + """ + Return common metrics for a set of dimensions. + """ + query_params = [("node_type", models.NodeType.METRIC.value)] + for dim in dimensions: + query_params.append((models.NodeType.DIMENSION.value, dim)) + json_response = self._session.get( + f"/dimensions/common/?{urlencode(query_params)}", + ).json() + if name_only: + return [metric["name"] for metric in json_response] + return [ + { + "name": metric["name"], + "display_name": metric["display_name"], + "description": metric["description"], + "query": metric["query"], + # perhaps we should also provide `paths` like we do with common dimensions + } + for metric in json_response + ] + + # + # Get SQL + # + def sql( # pylint: disable=too-many-arguments + self, + metrics: List[str], + dimensions: Optional[List[str]] = None, + filters: Optional[List[str]] = None, + orderby: Optional[List[str]] = None, + limit: Optional[int] = None, + dialect: Optional[str] = None, + use_materialized: bool = True, + ): + """ + Builds SQL for one or more metrics with the provided dimensions, filters, + ordering, and limit. + + Args: + metrics: List of metric names to include + dimensions: List of dimensions to group by + filters: List of filter expressions + orderby: List of ORDER BY clauses (e.g., ['metric_name DESC', 'dimension_name']) + limit: Maximum number of rows to return + dialect: SQL dialect (e.g., 'spark', 'trino', 'druid'). Defaults to engine dialect. + use_materialized: Whether to use materialized tables when available + """ + params: dict = { + "metrics": metrics, + "dimensions": dimensions or [], + "filters": filters or [], + "orderby": orderby or [], + "use_materialized": use_materialized, + } + if limit is not None: + params["limit"] = limit + effective_dialect = dialect or self.engine_name + if effective_dialect: + params["dialect"] = effective_dialect # pragma: no cover + response = self._session.get("/sql/metrics/v3/", params=params) + if response.status_code != 200: + return response.json() + return response.json()["sql"] + + def plan( + self, + metrics: List[str], + dimensions: Optional[List[str]] = None, + filters: Optional[List[str]] = None, + dialect: Optional[str] = None, + use_materialized: bool = True, + ): + """ + Returns a query execution plan for the given metrics and dimensions. + + The plan shows: + - grain_groups: How metrics are grouped and their intermediate SQL + - metric_formulas: How each metric combines its components + - requested_dimensions: The dimensions being queried + + This is useful for understanding how DJ decomposes metrics into + atomic aggregations and how multiple fact tables are joined together. + + Args: + metrics: List of metric names to include + dimensions: List of dimensions to group by + filters: List of filter expressions + dialect: SQL dialect (e.g., 'spark', 'trino'). Defaults to engine dialect. + use_materialized: Whether to use materialized tables when available + """ + params: dict = { + "metrics": metrics, + "dimensions": dimensions or [], + "filters": filters or [], + "use_materialized": use_materialized, + } + effective_dialect = dialect or self.engine_name + if effective_dialect: + params["dialect"] = effective_dialect # pragma: no cover + response = self._session.get("/sql/measures/v3/", params=params) + if response.status_code != 200: + return response.json() + return response.json() + + # + # Get SQL for a node + # + def node_sql( # pylint: disable=too-many-arguments + self, + node_name: str, + dimensions: Optional[List[str]] = None, + filters: Optional[List[str]] = None, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + use_materialized: bool = True, + ): + """ + Builds SQL for a node with the provided dimensions and filters. + """ + response = self._session.get( + f"/sql/{node_name}", + params={ + "dimensions": dimensions or [], + "filters": filters or [], + "engine_name": engine_name or self.engine_name, + "engine_version": engine_version or self.engine_version, + "use_materialized": use_materialized, + }, + ) + if response.status_code == 200: + return response.json()["sql"] + return response.json() + + # + # Get data + # + def data( # pylint: disable=too-many-arguments,too-many-locals + self, + metrics: List[str], + dimensions: Optional[List[str]] = None, + filters: Optional[List[str]] = None, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + async_: bool = True, + limit: Optional[int] = None, + ): + """ + Retrieves the data for one or more metrics with the provided dimensions and filters. + """ + return self._data( + metrics=metrics, + dimensions=dimensions, + filters=filters, + engine_name=engine_name, + engine_version=engine_version, + async_=async_, + limit=limit, + ) + + def node_data( # pylint: disable=too-many-arguments,too-many-locals + self, + node_name: str, + dimensions: Optional[List[str]] = None, + filters: Optional[List[str]] = None, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + async_: bool = True, + limit: Optional[int] = None, + ): + """ + Retrieves the data for the node with the provided dimensions and filters. + """ + return self._data( + node_name=node_name, + dimensions=dimensions, + filters=filters, + engine_name=engine_name, + engine_version=engine_version, + async_=async_, + limit=limit, + ) + + def _data( # pylint: disable=too-many-arguments,too-many-locals + self, + node_name: Optional[str] = None, + metrics: Optional[List[str]] = None, + dimensions: Optional[List[str]] = None, + filters: Optional[List[str]] = None, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + async_: bool = True, + limit: Optional[int] = None, + ): + """ + Fetch data for a node or a set of metrics with dimensions and filters. + """ + printed_links = False + with alive_bar( + title="Processing", + length=20, + bar="smooth", + force_tty=True, + calibrate=5e40, + ) as progress_bar: + poll_interval = 1 # Initial polling interval in seconds + job_state = models.QueryState.UNKNOWN + results = None + path = "/data/" + params: Dict[str, Any] = { + "dimensions": dimensions or [], + "filters": filters or [], + "engine_name": engine_name or self.engine_name, + "engine_version": engine_version or self.engine_version, + "async_": async_, + } + if limit is not None: + params["limit"] = limit + + if (node_name and metrics) or not (node_name or metrics): + raise DJClientException( + "Must supply either 'node_name' or 'metrics' to fetch data.", + ) + + if node_name: + path = f"{path}{node_name}" + elif metrics: # pragma: no cover + params["metrics"] = metrics # pragma: no cover + + print(f"Fetching data for '{node_name}' or '{metrics}'") # pragma: no cover + + while job_state not in models.END_JOB_STATES: + progress_bar() # pylint: disable=not-callable + response = self._session.get( + path, + params=params, + ) + results = response.json() + + # Raise errors if any + if not response.status_code < 400: + raise DJClientException( + f"Error retrieving data: {response.text}", + ) # pragma: no cover # pylint: disable=line-too-long + if results["state"] not in models.QueryState.list(): + raise DJClientException( # pragma: no cover + f"Query state {results['state']} is not a DJ-parseable query state!" + " Please reach out to your server admin to make sure DJ is configured" + " correctly.", + ) + + # Update the query state and print links if any + job_state = models.QueryState(results["state"]) + if not printed_links and results["links"]: # pragma: no cover + print( + "Links:\n" + + "\n".join([f"\t* {link}" for link in results["links"]]), + ) + printed_links = True + progress_bar.title = f"Status: {job_state.value}" + + # Update the polling interval + time.sleep(poll_interval) + poll_interval *= 2 + + # Return results if the job has finished + if job_state == models.QueryState.FINISHED: + return self.process_results(results) + if job_state == models.QueryState.CANCELED: # pragma: no cover + raise DJClientException("Query execution was canceled!") + raise DJClientException( # pragma: no cover + f"Error retrieving data: {response.text}", + ) + + # + # Data Catalog and Engines + # + def list_catalogs(self) -> List[str]: + """ + List all catalogs. + """ + json_response = self._session.get("/catalogs/", timeout=self._timeout).json() + return [catalog["name"] for catalog in json_response] + + def list_engines(self) -> List[dict]: + """ + List all engines. + """ + json_response = self._session.get("/engines/", timeout=self._timeout).json() + return [ + {"name": engine["name"], "version": engine["version"]} + for engine in json_response + ] + + # + # Nodes + # + def source(self, node_name: str) -> Source: + """ + Retrieves a source node with that name if one exists. + """ + node_dict = self._verify_node_exists( + node_name, + type_=models.NodeType.SOURCE.value, + ) + node = Source.from_dict(dj_client=self, data=node_dict) + node.primary_key = self._primary_key_from_columns(node_dict["columns"]) + return node + + def transform(self, node_name: str) -> Transform: + """ + Retrieves a transform node with that name if one exists. + """ + node_dict = self._verify_node_exists( + node_name, + type_=models.NodeType.TRANSFORM.value, + ) + node = Transform.from_dict(dj_client=self, data=node_dict) + node.primary_key = self._primary_key_from_columns(node_dict["columns"]) + return node + + def dimension(self, node_name: str) -> "Dimension": + """ + Retrieves a Dimension node with that name if one exists. + """ + node_dict = self._verify_node_exists( + node_name, + type_=models.NodeType.DIMENSION.value, + ) + node = Dimension.from_dict(dj_client=self, data=node_dict) + node.primary_key = self._primary_key_from_columns(node_dict["columns"]) + return node + + def metric(self, node_name: str) -> "Metric": + """ + Retrieves a Metric node with that name if one exists. + """ + node_dict = self._verify_node_exists( + node_name, + type_=models.NodeType.METRIC.value, + ) + metric_dict = self.get_metric(node_name) + node_dict["required_dimensions"] = metric_dict["required_dimensions"] + node = Metric.from_dict(dj_client=self, data=node_dict) + node.primary_key = self._primary_key_from_columns(node_dict["columns"]) + return node + + def cube(self, node_name: str) -> "Cube": # pragma: no cover + """ + Retrieves a Cube node with that name if one exists. + """ + node_dict = self._get_cube(node_name) + if "name" not in node_dict: + raise DJClientException(f"Cube `{node_name}` does not exist") + dimensions = node_dict["cube_node_dimensions"] + metrics = node_dict["cube_node_metrics"] + node_dict["metrics"] = metrics + node_dict["dimensions"] = dimensions + return Cube.from_dict(dj_client=self, data=node_dict) + + def node(self, node_name: str): + """ + Retrieves a node with the name if one exists + """ + node_dict = self._verify_node_exists(node_name) + if not node_dict or "type" not in node_dict: + raise DJClientException( + f"Node `{node_name}` does not exist.", + ) # pragma: no cover + if node_dict["type"] == models.NodeType.SOURCE.value: + return self.source(node_name) + if node_dict["type"] == models.NodeType.DIMENSION.value: + return self.dimension(node_name) + if node_dict["type"] == models.NodeType.TRANSFORM.value: + return self.transform(node_name) + if node_dict["type"] == models.NodeType.METRIC.value: + return self.metric(node_name) + if node_dict["type"] == models.NodeType.CUBE.value: # pragma: no cover + return self.cube(node_name) + + raise DJClientException( # pragma: no cover + f"Node `{node_name}` is of unknown type: {node_dict['type']}", + ) + + # + # Tags + # + def list_nodes_with_tags( + self, + tag_names: List[str], + node_type: Optional[models.NodeType] = None, + skip_missing: bool = False, + ) -> List[str]: + """ + Find all nodes with given tags. The nodes must have all the tags. + """ + node_names: Set[str] = set() + for tag_name in tag_names: + try: + node_names_with_tag = self._list_nodes_with_tag( + tag_name, + node_type=node_type, + ) + except DJTagDoesNotExist as exc: + if skip_missing: + continue + raise exc + if not node_names: + node_names = set(node_names_with_tag) + else: + node_names = node_names.intersection(node_names_with_tag) + return list(node_names) + + def tag(self, tag_name: str) -> "Tag": # pragma: no cover + """ + Retrieves a Tag with that name if one exists. + """ + tag_dict = self._get_tag(tag_name) + if "name" not in tag_dict: + raise DJClientException(f"Tag `{tag_name}` does not exist") + return Tag( + **tag_dict, + dj_client=self, + ) diff --git a/datajunction-clients/python/datajunction/compile.py b/datajunction-clients/python/datajunction/compile.py new file mode 100644 index 000000000..93f425c4e --- /dev/null +++ b/datajunction-clients/python/datajunction/compile.py @@ -0,0 +1,1175 @@ +# pylint: disable=too-many-lines +""" +Compile a metrics repository. + +This will: + + 1. Build graph of nodes. + 2. Retrieve the schema of source nodes. + 3. Infer the schema of downstream nodes. + 4. Save everything to the DB. + +""" + +import asyncio +import logging +import os +import random +import string +from concurrent.futures import ThreadPoolExecutor +from copy import deepcopy +from dataclasses import asdict, dataclass, field +from enum import Enum +from pathlib import Path +from typing import Any, Dict, List, Literal, Optional, Union + +import yaml +from rich import box +from rich.align import Align +from rich.console import Console +from rich.live import Live +from rich.table import Table +from yaml.resolver import BaseResolver + +from datajunction import DJBuilder, DJClient +from datajunction._base import SerializableMixin +from datajunction.exceptions import ( + DJClientException, + DJDeploymentFailure, + DJNamespaceAlreadyExists, +) +from datajunction.models import ( + ColumnAttribute, + MetricDirection, + MetricUnit, + NodeMode, + NodeType, +) +from datajunction.tags import Tag + +_logger = logging.getLogger(__name__) + +CONFIG_FILENAME = "dj.yaml" + + +def str_presenter(dumper, data): + """ + YAML representer that uses the | (pipe) character for multiline strings + """ + if len(data.splitlines()) > 1 or "\n" in data: + text_list = [line.rstrip() for line in data.splitlines()] + fixed_data = "\n".join(text_list) + return dumper.represent_scalar( + BaseResolver.DEFAULT_SCALAR_TAG, + fixed_data, + style="|", + ) + return dumper.represent_scalar(BaseResolver.DEFAULT_SCALAR_TAG, data) + + +yaml.add_representer(str, str_presenter) + + +def _parent_dir(path: Union[str, Path]): + """ + Returns the parent directory + """ + return os.path.dirname(os.path.abspath(path)) + + +def _conf_exists(path: Union[str, Path]): + """ + Returns True if a config exists in the Path + """ + return os.path.isfile(os.path.join(path, CONFIG_FILENAME)) + + +def find_project_root(directory: Optional[str] = None): + """ + Returns the project root, identified by a root config file + """ + if directory and not os.path.isdir(directory): + raise DJClientException(f"Directory {directory} does not exist") + checked_dir = directory or os.getcwd() + while not _conf_exists(checked_dir): + checked_dir = _parent_dir(checked_dir) + if checked_dir == "/" and not _conf_exists(checked_dir): + raise DJClientException( + "Cannot find project root, make sure you've " + f"defined a project in a {CONFIG_FILENAME} file", + ) + + return checked_dir + + +@dataclass +class TagYAML: + """ + YAML representation of a tag + """ + + name: str + description: str = "" + tag_type: str = "" + tag_metadata: Optional[Dict] = None + + +class JoinType(str, Enum): + """ + Join type + """ + + LEFT = "left" + RIGHT = "right" + INNER = "inner" + FULL = "full" + CROSS = "cross" + + +class LinkType(str, Enum): + """ + There are two types of dimensions links supported: join links or reference links + """ + + JOIN = "join" + REFERENCE = "reference" + + +@dataclass +class DimensionJoinLinkYAML( + SerializableMixin, +): # pylint: disable=too-many-instance-attributes + """ + YAML representation of a dimension join link + + If a custom `join_on` clause is not specified, DJ will automatically set + this clause to be on the selected column and the dimension node's primary key + """ + + dimension_node: str + type: LinkType = LinkType.JOIN + + node_column: Optional[str] = None + join_type: JoinType = JoinType.LEFT + join_on: Optional[str] = None + role: Optional[str] = None + + @classmethod + def from_dict( + cls, + dj_client: Optional[DJClient], + data: Dict[str, Any], + ) -> "DimensionJoinLinkYAML": + """ + Create an instance of the given dataclass `cls` from a dictionary `data`. + This will handle nested dataclasses and optional types. + """ + if LinkType(data["type"].lower()) != LinkType.JOIN: + raise TypeError("Wrong dimension link type: " + data["type"]) + return super().from_dict(dj_client, data) + + +@dataclass +class DimensionReferenceLinkYAML( + SerializableMixin, +): # pylint: disable=too-many-instance-attributes + """ + YAML representation of a dimension reference link + + The `dimension` input should be a fully qualified dimension attribute name, + e.g., "." + """ + + node_column: str + dimension: str + type: LinkType = LinkType.REFERENCE + role: Optional[str] = None + + @classmethod + def from_dict( + cls, + dj_client: Optional[DJClient], + data: Dict[str, Any], + ) -> "DimensionReferenceLinkYAML": + """ + Create an instance of the given dataclass `cls` from a dictionary `data`. + This will handle nested dataclasses and optional types. + """ + if LinkType(data["type"].lower()) != LinkType.REFERENCE: + raise TypeError( + "Wrong dimension link type: " + data["type"], + ) # pragma: no cover + return super().from_dict(dj_client, data) + + +@dataclass +class NodeYAML(SerializableMixin): + """ + YAML represention of a node + """ + + deploy_order: int = 0 + + +@dataclass +class ColumnYAML(SerializableMixin): + """ + Represents a column + """ + + name: str + type: str + display_name: str | None = None + description: str | None = None + attributes: list[str] | None = None + + +@dataclass +class LinkableNodeYAML(NodeYAML): + """ + YAML represention of a node type that can be linked to dimension nodes: + source, transform, dimension + """ + + columns: list[ColumnYAML] | None = None + dimension_links: list[DimensionJoinLinkYAML | DimensionReferenceLinkYAML] | None = ( + None + ) + + def _deploy_column_settings(self, node): + """ + Deploy any column-level settings (e.g., attributes or display name) for the + columns on this node. + """ + if not self.columns: + return + + for column in self.columns: + # Deploy column attributes if present + if column.attributes: + node.set_column_attributes( + column_name=column.name, + attributes=[ + ColumnAttribute(name=attr) for attr in column.attributes + ], + ) + # Deploy display name if present + if column.display_name: + node.set_column_display_name( + column_name=column.name, + display_name=column.display_name, + ) + # Deploy description if present (empty string counts as present) + if column.description is not None: + node.set_column_description( + column_name=column.name, + description=column.description, + ) + + def _deploy_dimension_links( # pylint: disable=too-many-locals + self, + name: str, + node_init, + prefix: str, + table: Table, + ): + """ + Deploy any links from columns on this node to columns on dimension nodes + """ + prefixed_name = f"{prefix}.{name}" + node = node_init(prefixed_name) + existing_join_links = {link.dimension.name for link in node.dimension_links} + existing_reference_links = {col.name for col in node.columns if col.dimension} + if self.dimension_links: + for link in self.dimension_links: + prefixed_dimension = render_prefixes( + link.dimension_node + if isinstance(link, DimensionJoinLinkYAML) + else link.dimension, + prefix, + ) + if isinstance(link, DimensionJoinLinkYAML): + if prefixed_dimension in existing_join_links: + existing_join_links.remove( # pragma: no cover + prefixed_dimension, + ) + if link.join_on: + prefixed_join_on = render_prefixes(link.join_on, prefix) + node.link_complex_dimension( + dimension_node=prefixed_dimension, + join_type=link.join_type or JoinType.LEFT, + join_on=prefixed_join_on, + role=link.role, + ) + else: + node.link_dimension( + link.node_column, + prefixed_dimension, + ) + else: + if link.node_column in existing_reference_links: + existing_reference_links.remove( # pragma: no cover + link.node_column, + ) + split_dim = prefixed_dimension.rsplit(".", 1) + node.add_reference_dimension_link( + node_column=link.node_column, + dimension_node=split_dim[0], + dimension_column=split_dim[1], + role=link.role, + ) + + message = f"[green]Dimension {link.type} link created between " + ( + f"{prefixed_name} and {prefixed_dimension}." + if link.type == LinkType.JOIN + else f"{link.node_column} and {prefixed_dimension}" + ) + table.add_row(*[prefixed_name, "[b]link", message]) + + for dim_node in existing_join_links: # pragma: no cover + node.remove_complex_dimension_link(dim_node) + message = f"[i][yellow]Dimension join link removed to {dim_node}" + table.add_row(*[prefixed_name, "[b]link", message]) + for node_col in existing_reference_links: # pragma: no cover + node.remove_reference_dimension_link(node_col) + message = f"[i][yellow]Dimension reference link removed on {node_col}" + table.add_row(*[prefixed_name, "[b]link", message]) + + +@dataclass +class SourceYAML(LinkableNodeYAML): # pylint: disable=too-many-instance-attributes + """ + YAML representation of a source node + """ + + node_type: Literal[NodeType.SOURCE] = NodeType.SOURCE + display_name: Optional[str] = None + table: str = "" + description: Optional[str] = None + primary_key: Optional[List[str]] = None + tags: Optional[List[str]] = None + mode: NodeMode = NodeMode.PUBLISHED + query: Optional[str] = None + deploy_order: int = 1 + + def __post_init__(self): + """ + Validate that the table name is fully qualified + """ + if ( + self.table.count(".") != 2 + or not self.table.replace(".", "").replace("_", "").isalnum() + ): + raise DJClientException( + f"Invalid table name {self.table}, table " + "name must be fully qualified: " + "..", + ) + + def deploy(self, name: str, prefix: str, client: DJBuilder): + """ + Validate a node by deploying it to a temporary system space + """ + catalog, schema, table = self.table.split(".") + node = client.create_source( + display_name=self.display_name, + name=f"{prefix}.{name}", + catalog=catalog, + schema=schema, + table=table, + columns=self.columns, + description=self.description, + primary_key=self.primary_key, + tags=self.tags, + mode=self.mode, + update_if_exists=True, + ) + self._deploy_column_settings(node) + return node + + def deploy_dimension_links( + self, + name: str, + prefix: str, + client: DJBuilder, + table: Table, + ): + """ + Deploy any links from columns on this node to columns on dimension nodes + """ + return self._deploy_dimension_links(name, client.source, prefix, table) + + +@dataclass +class TransformYAML(LinkableNodeYAML): # pylint: disable=too-many-instance-attributes + """ + YAML representation of a transform node + """ + + node_type: Literal[NodeType.TRANSFORM] = NodeType.TRANSFORM + query: str = "" + display_name: Optional[str] = None + description: Optional[str] = None + primary_key: Optional[List[str]] = None + tags: Optional[List[str]] = None + mode: NodeMode = NodeMode.PUBLISHED + custom_metadata: Optional[Dict] = None + deploy_order: int = 2 + + def deploy(self, name: str, prefix: str, client: DJBuilder): + """ + Validate a node by deploying it to a temporary system space + """ + node = client.create_transform( + name=f"{prefix}.{name}", + display_name=self.display_name, + query=self.query, + description=self.description, + primary_key=self.primary_key, + tags=self.tags, + mode=self.mode, + custom_metadata=self.custom_metadata, + update_if_exists=True, + ) + self._deploy_column_settings(node) + return node + + def deploy_dimension_links( + self, + name: str, + prefix: str, + client: DJBuilder, + table: Table, + ): + """ + Deploy any links from columns on this node to columns on dimension nodes + """ + return self._deploy_dimension_links(name, client.transform, prefix, table) + + +@dataclass +class DimensionYAML(LinkableNodeYAML): # pylint: disable=too-many-instance-attributes + """ + YAML representation of a dimension node + """ + + node_type: Literal[NodeType.DIMENSION] = NodeType.DIMENSION + query: str = "" + display_name: Optional[str] = None + description: Optional[str] = None + primary_key: Optional[List[str]] = None + tags: Optional[List[str]] = None + mode: NodeMode = NodeMode.PUBLISHED + deploy_order: int = 3 + + def deploy(self, name: str, prefix: str, client: DJBuilder): + """ + Validate a node by deploying it to a temporary system space + """ + node = client.create_dimension( + name=f"{prefix}.{name}", + display_name=self.display_name, + query=self.query, + description=self.description, + primary_key=self.primary_key, + tags=self.tags, + mode=self.mode, + update_if_exists=True, + ) + self._deploy_column_settings(node) + return node + + def deploy_dimension_links( + self, + name: str, + prefix: str, + client: DJBuilder, + table: Table, + ): + """ + Deploy any links from columns on this node to columns on dimension nodes + """ + return self._deploy_dimension_links(name, client.dimension, prefix, table) + + +@dataclass +class MetricYAML(NodeYAML): # pylint: disable=too-many-instance-attributes + """ + YAML representation of a metric node + """ + + node_type: Literal[NodeType.METRIC] = NodeType.METRIC + query: str = "" + display_name: Optional[str] = None + description: Optional[str] = None + tags: Optional[List[str]] = None + required_dimensions: list[str] | None = None + direction: MetricDirection | None = None + unit: MetricUnit | None = None + mode: NodeMode = NodeMode.PUBLISHED + deploy_order: int = 4 + + def deploy(self, name: str, prefix: str, client: DJBuilder): + """ + Validate a node by deploying it to a temporary system space + """ + node = client.create_metric( + name=f"{prefix}.{name}", + display_name=self.display_name, + query=self.query, + description=self.description, + required_dimensions=self.required_dimensions, + direction=self.direction, + unit=self.unit, + tags=self.tags, + mode=self.mode, + update_if_exists=True, + ) + return node + + +@dataclass +class CubeYAML(NodeYAML): # pylint: disable=too-many-instance-attributes + """ + YAML representation of a cube node + """ + + node_type: Literal[NodeType.CUBE] = NodeType.CUBE + display_name: Optional[str] = None + metrics: List[str] = field(default_factory=list) + dimensions: List[str] = field(default_factory=list) + filters: Optional[List[str]] = None + description: Optional[str] = None + mode: NodeMode = NodeMode.PUBLISHED + tags: Optional[List[str]] = None + deploy_order: int = 5 + + def deploy(self, name: str, prefix: str, client: DJBuilder): + """ + Validate a node by deploying it to a temporary system space + """ + prefixed_metrics = [ + render_prefixes(metric_name, prefix) for metric_name in self.metrics + ] + prefixed_dimensions = [ + render_prefixes(dimension_name, prefix) + for dimension_name in self.dimensions + ] + node = client.create_cube( + name=f"{prefix}.{name}", + display_name=self.display_name, + metrics=prefixed_metrics, + dimensions=prefixed_dimensions, + filters=self.filters, + description=self.description, + mode=self.mode, + tags=self.tags, + update_if_exists=True, + ) + return node + + +@dataclass +class NodeConfig: + """ + A single node configuration + """ + + name: str + definition: Union[SourceYAML, TransformYAML, DimensionYAML, MetricYAML, CubeYAML] + path: str + + +@dataclass +class BuildConfig: + """ + A build configuration for a project + """ + + priority: List[str] = field(default_factory=list[str]) + + +@dataclass +class Project: + """ + A project configuration + """ + + name: str + prefix: str + root_path: str = "" + description: str = "" + build: BuildConfig = field(default_factory=BuildConfig) + tags: List[TagYAML] = field(default_factory=list[TagYAML]) + mode: NodeMode = NodeMode.PUBLISHED + + @classmethod + def load_current(cls): + """ + Return's the nearest project configuration + """ + return cls.load() + + @classmethod + def load(cls, directory: Optional[str] = None): + """ + Return's the nearest project configuration + """ + root = find_project_root(directory) + config_file_path = os.path.join(root, CONFIG_FILENAME) + with open(config_file_path, encoding="utf-8") as f_config: + config_dict = yaml.safe_load(f_config) + config = cls(**config_dict) + config.root_path = root + config.build = ( + BuildConfig(**config.build) # pylint: disable=not-a-mapping + if isinstance(config.build, dict) + else config.build + ) + config.tags = ( + [ + TagYAML(**tag) if isinstance(tag, dict) else tag + for tag in config.tags + ] + if config.tags + else [] + ) + return config + + def compile(self) -> "CompiledProject": + """ + Compile a loaded project by reading all of the node definition files + """ + definitions = load_node_configs_notebook_safe( + repository=Path(self.root_path), + priority=self.build.priority, + ) + compiled = asdict(self) + compiled.update( + {"namespaces": collect_namespaces(definitions), "definitions": definitions}, + ) + compiled_project = CompiledProject(**compiled) + compiled_project.build = self.build + compiled_project.tags = self.tags + return compiled_project + + @staticmethod + def pull( + client: DJBuilder, + namespace: str, + target_path: Union[str, Path], + ignore_existing_files: bool = False, + ): + """ + Pull down a namespace to a local project. + """ + path = Path(target_path) + if any(path.iterdir()) and not ignore_existing_files: + raise DJClientException("The target path must be empty") + node_definitions = client._export_namespace( # pylint: disable=protected-access + namespace=namespace, + ) + with open( + path / Path("dj.yaml"), + "w", + encoding="utf-8", + ) as yaml_file: + yaml.dump( + { + "name": f"Project {namespace} (Autogenerated)", + "description": f"This is an autogenerated project for namespace {namespace}", + "prefix": namespace, + "build": { + "priority": [node["build_name"] for node in node_definitions], + }, + }, + yaml_file, + sort_keys=False, + ) + for node in node_definitions: + del node["build_name"] + node_definition_dir = path / Path(node.pop("directory")) + Path.mkdir(node_definition_dir, parents=True, exist_ok=True) + if ( + node["filename"].endswith(".dimension.yaml") + or node["filename"].endswith(".transform.yaml") + or node["filename"].endswith(".metric.yaml") + ): + node["query"] = inject_prefixes(node["query"], namespace) + elif node["filename"].endswith(".cube.yaml"): + node["metrics"] = [ + inject_prefixes(metric, namespace) for metric in node["metrics"] + ] + node["dimensions"] = [ + inject_prefixes(dimension, namespace) + for dimension in node["dimensions"] + ] + if node.get("dimension_links"): + for link in node["dimension_links"]: # pragma: no cover + if "dimension_node" in link: + link["dimension_node"] = inject_prefixes( + link["dimension_node"], + namespace, + ) + if "join_on" in link: + link["join_on"] = inject_prefixes(link["join_on"], namespace) + if "dimension" in link: + link["dimension"] = inject_prefixes( + link["dimension"], + namespace, + ) + with open( + node_definition_dir / Path(node.pop("filename")), + "w", + encoding="utf-8", + ) as yaml_file: + yaml.dump(node, yaml_file, sort_keys=False) + + +def collect_namespaces(node_configs: List[NodeConfig], prefix: str = ""): + """ + Collect all namespaces that are needed to define a set of nodes + """ + namespaces = set() + prefixed_node_names = ( + [f"{prefix}.{config.name}" for config in node_configs] + if prefix + else [config.name for config in node_configs] + ) + for name in prefixed_node_names: + parts = name.split(".") + num_parts = len(parts) + for i in range(1, num_parts): + namespace = ".".join(parts[:i]) + namespaces.add(namespace) + return namespaces + + +def render_prefixes(parameterized_string: str, prefix: str): + """ + Replaces ${prefix} in a string + """ + return parameterized_string.replace("${prefix}", f"{prefix}.") + + +def inject_prefixes(unparameterized_string: str, prefix: str) -> str: + """ + Replaces a namespace in a string with ${prefix} + """ + return unparameterized_string.replace(f"{prefix}.", "${prefix}") + + +@dataclass +class CompiledProject(Project): + """ + A compiled project with all node definitions loaded + """ + + namespaces: List[str] = field(default_factory=list) + definitions: List[NodeConfig] = field(default_factory=list) + validated: bool = False + errors: List[dict] = field(default_factory=list) + + def _deploy_tags(self, prefix: str, table: Table, client: DJBuilder): + """ + Deploy tags + """ + if not self.tags: + return table + for tag in self.tags: + prefixed_name = f"{prefix}.{tag.name}" + try: + new_tag = Tag( + name=prefixed_name, + description=tag.description, + tag_type=tag.tag_type, + tag_metadata=tag.tag_metadata, + dj_client=client, + ) + new_tag.save() + table.add_row( + *[ + prefixed_name, + "[b][#3A4F6C]tag", + f"[green]Tag {prefixed_name} successfully created (or updated)", + ], + ) + except DJClientException as exc: # pragma: no cover + table.add_row(*[tag.name, "tag", f"[i][red]{str(exc)}"]) + self.errors.append( + {"name": prefixed_name, "type": "tag", "error": str(exc)}, + ) + return table + + def _deploy_namespaces(self, prefix: str, table: Table, client: DJBuilder): + """ + Deploy namespaces + """ + namespaces_to_create = self.namespaces + if prefix: # pragma: no cover + namespaces_to_create = [prefix] + [ + f"{prefix}.{ns}" for ns in list(self.namespaces) + ] + for namespace in namespaces_to_create: + try: + client.create_namespace( + namespace=namespace, + ) + table.add_row( + *[ + namespace, + "[b][#3A4F6C]namespace", + f"[green]Namespace {namespace} successfully created", + ], + ) + except DJNamespaceAlreadyExists: + table.add_row( + *[ + namespace, + "namespace", + f"[i][yellow]Namespace {namespace} already exists", + ], + ) + except DJClientException as exc: + # This is a just-in-case code for some older client versions. + if "already exists" in str(exc): + table.add_row( + *[ + namespace, + "namespace", + f"[i][yellow]Namespace {namespace} already exists", + ], + ) + else: + # pragma: no cover + table.add_row(*[namespace, "namespace", f"[i][red]{str(exc)}"]) + self.errors.append( + { + "name": namespace, + "type": "namespace", + "error": str(exc), + }, + ) + return table + + def _deploy_nodes( + self, + node_configs: List[NodeConfig], + prefix: str, + table: Table, + client: DJBuilder, + ): + """ + Deploy nodes + """ + for node_config in node_configs: + style = ( + "[b][#01B268]" + if isinstance(node_config.definition, SourceYAML) + else "[b][#0162B4]" + if isinstance(node_config.definition, TransformYAML) + else "[b][#A96622]" + if isinstance(node_config.definition, DimensionYAML) + else "[b][#A2293E]" + if isinstance(node_config.definition, MetricYAML) + else "[b][#580075]" + if isinstance(node_config.definition, CubeYAML) + else "" + ) + try: + rendered_node_config = deepcopy(node_config) + prefixed_name = f"{prefix}.{node_config.name}" + # pre-fix the query + if isinstance( + node_config.definition, + (TransformYAML, DimensionYAML, MetricYAML), + ): + rendered_node_config.definition.query = render_prefixes( # type: ignore + rendered_node_config.definition.query or "", # type: ignore + prefix, + ) + # pre-fix the tags + project_tags = [tag.name for tag in self.tags] + if node_config.definition.tags: + rendered_node_config.definition.tags = [ + f"{prefix}.{tag}" if tag in project_tags else tag + for tag in node_config.definition.tags + ] + created_node = rendered_node_config.definition.deploy( + name=rendered_node_config.name, + prefix=prefix, + client=client, + ) + table.add_row( + *[ + prefixed_name, + f"{style}{created_node.type}", + f"[green]Node {created_node.name} successfully created (or updated)", + ], + ) + except DJClientException as exc: + table.add_row( + *[ + prefixed_name, + f"{style}{node_config.definition.node_type}", + f"[i][red]{str(exc)}", + ], + ) + self.errors.append( + {"name": prefixed_name, "type": "node", "error": str(exc)}, + ) + + def _deploy_dimension_links(self, prefix: str, table: Table, client: DJBuilder): + """ + Deploy any dimension links defined within any node definition + """ + for node_config in self.definitions: + if isinstance( + node_config.definition, + (SourceYAML, TransformYAML, DimensionYAML), + ): + try: + node_config.definition.deploy_dimension_links( + name=node_config.name, + prefix=prefix, + client=client, + table=table, + ) + except DJClientException as exc: + table.add_row( + *[node_config.name, "[b]link[/]", f"[i][red]{str(exc)}"], + ) + self.errors.append( + {"name": node_config.name, "type": "link", "error": str(exc)}, + ) + + def _deploy( + self, + client: DJBuilder, + prefix: str, + console: Console = Console(), + ): + """ + Deploy the compiled project + """ + self.errors = [] + + # Split out cube nodes to be deployed after dimensional graph + cubes = [ + node_config + for node_config in self.definitions + if isinstance(node_config.definition, CubeYAML) + ] + non_cubes = [ + node_config + for node_config in self.definitions + if not isinstance(node_config.definition, CubeYAML) + ] + + table = Table(show_footer=False) + table_centered = Align.center(table) + with Live(table_centered, console=console, screen=False, refresh_per_second=20): + table.title = f"{self.name}\nDeployment for Prefix: [bold green]{prefix}[/ bold green]" + table.box = box.SIMPLE_HEAD + table.add_column("Name", no_wrap=True) + table.add_column("Type", no_wrap=True) + table.add_column("Message", no_wrap=False) + self._deploy_tags(prefix=prefix, table=table, client=client) + self._deploy_namespaces(prefix=prefix, table=table, client=client) + self._deploy_nodes( + node_configs=non_cubes, + prefix=prefix, + table=table, + client=client, + ) + self._deploy_dimension_links(prefix=prefix, table=table, client=client) + self._deploy_nodes( + node_configs=cubes, + prefix=prefix, + table=table, + client=client, + ) + + def _cleanup_namespace( + self, + client: DJBuilder, + prefix: str, + console: Console = Console(), + ): + """ + Cleanup a prefix + """ + table = Table(show_footer=False) + table_centered = Align.center(table) + with Live(table_centered, console=console, screen=False, refresh_per_second=20): + table.title = ( + f"{self.name}\nCleanup for Prefix: [bold red]{prefix}[/ bold red]" + ) + table.box = box.SIMPLE_HEAD + table.add_column("Name", no_wrap=True) + table.add_column("Type", no_wrap=True) + table.add_column("Message", no_wrap=False) + try: + client.delete_namespace(namespace=prefix, cascade=True) + table.add_row( + *[ + prefix, + "[b][#3A4F6C]namespace", + f"[green]Namespace {prefix} successfully deleted.", + ], + ) + except DJClientException as exc: + table.add_row(*[prefix, "namespace", f"[i][red]{str(exc)}"]) + self.errors.append( + { + "name": prefix, + "type": "namespace", + "error": str(exc), + }, + ) + + def validate(self, client, console: Console = Console(), with_cleanup: bool = True): + """ + Validate the compiled project + """ + self.errors = [] + console.clear() + validation_id = "".join(random.choices(string.ascii_letters, k=16)) + system_prefix = f"system.temp.{validation_id}.{self.prefix}" + self._deploy(client=client, prefix=system_prefix, console=console) + if with_cleanup: # pragma: no cover + self._cleanup_namespace( + client=client, + prefix=system_prefix, + console=console, + ) + if self.errors: + raise DJDeploymentFailure(project_name=self.name, errors=self.errors) + self.validated = True + + def deploy(self, client: DJBuilder, console: Console = Console()): + """ + Validate and deploy the compiled project + """ + console.clear() + if not self.validated: + self.validate(client=client, console=console) + self._deploy(client=client, prefix=self.prefix, console=console) + if self.errors: # pragma: no cover + # .deploy() requires .validate() to have been called first so + # theoretically this exception should never or rarely ever be + # hit. This is just a safe fallback in cases where deploying + # worked during validation but failed by a subsequent deployment + # of the same set of definitions + raise DJDeploymentFailure(project_name=self.name, errors=self.errors) + + +def get_name_from_path(repository: Path, path: Path) -> str: + """ + Compute the name of a node given its path and the repository path. + """ + # strip anything before the repository + relative_path = path.relative_to(repository).with_suffix("") + + # Check that there are no additional dots in the node filename + if relative_path.stem.count("."): + raise DJClientException( + f"Invalid node definition filename stem {relative_path.stem}, " + "stem must only have a single dot separator and end with a node type " + "i.e. my_node.source.yaml", + ) + name = str(relative_path).split(".", maxsplit=1)[0] + return name.replace(os.path.sep, ".") + + +async def load_data( + repository: Path, + path: Path, +) -> Optional[NodeConfig]: + """ + Load data from a YAML file. + """ + yaml_cls = ( + SourceYAML + if path.stem.endswith(".source") + else TransformYAML + if path.stem.endswith(".transform") + else DimensionYAML + if path.stem.endswith(".dimension") + else MetricYAML + if path.stem.endswith(".metric") + else CubeYAML + if path.stem.endswith(".cube") + else None + ) + if not yaml_cls: + raise DJClientException( + f"Invalid node definition filename {path.stem}, " + "node definition filename must end with a node type i.e. my_node.source.yaml", + ) + with open(path, encoding="utf-8") as f_yaml: + yaml_dict = yaml.safe_load(f_yaml) + definition = yaml_cls.from_dict(None, yaml_dict) + + return NodeConfig( + name=get_name_from_path(repository=repository, path=path), + definition=definition, + path=str(path), + ) + + +def load_node_configs_notebook_safe(repository: Path, priority: List[str]): + """ + Notebook safe wrapper for load_node_configs function + """ + try: + asyncio.get_running_loop() + with ThreadPoolExecutor(1) as pool: # pragma: no cover + node_configs = pool.submit( + lambda: asyncio.run( + load_node_configs( + repository=repository, + priority=priority, + ), + ), + ).result() + except RuntimeError: + node_configs = asyncio.run( + load_node_configs(repository=repository, priority=priority), + ) + return node_configs + + +async def load_node_configs( + repository: Path, + priority: List[str], +) -> List[Optional[NodeConfig]]: + """ + Load all configs from a repository. + """ + + # load all nodes and their dependencies, exclude CONFIG_FILENAME + paths = { + get_name_from_path(repository=repository, path=path): path + for path in ( + set(repository.glob("**/*.yaml")) - set(repository.glob(CONFIG_FILENAME)) + ) + } + node_configs = [] + for node_name in priority: + try: + node_configs.append( + await load_data(repository=repository, path=paths.pop(node_name)), + ) + except KeyError as exc: + raise DJClientException( + f"Build priority list includes node name {node_name} " + "which has no corresponding definition " + f"{paths.keys()}", + ) from exc + + tasks = [load_data(repository=repository, path=path) for _, path in paths.items()] + non_prioritized_nodes = [node for node in await asyncio.gather(*tasks) if node] + non_prioritized_nodes.sort(key=lambda config: config.definition.deploy_order) + node_configs.extend(non_prioritized_nodes) + return node_configs diff --git a/datajunction-clients/python/datajunction/deployment.py b/datajunction-clients/python/datajunction/deployment.py new file mode 100644 index 000000000..098660df0 --- /dev/null +++ b/datajunction-clients/python/datajunction/deployment.py @@ -0,0 +1,343 @@ +import os +import socket +from pathlib import Path +import time +from typing import Any, Union + +import yaml +from rich import box +from rich.console import Console +from rich.live import Live +from rich.table import Table + +from datajunction import DJBuilder +from datajunction.exceptions import ( + DJClientException, +) + + +class DeploymentService: + """ + High-level deployment client for exporting and importing DJ namespaces. + Intended for CLI scripts but reusable in Python code. + """ + + def __init__(self, client: DJBuilder, console: Console | None = None) -> None: + self.client = client + self.console = console or Console() + + @staticmethod + def clean_dict(d: dict) -> dict: + """ + Recursively remove None, empty list, and empty dict values. + """ + result = {} + for k, v in d.items(): + if v is None: + continue + if isinstance(v, (list, dict)) and not v: + continue + if isinstance(v, dict): + nested = DeploymentService.clean_dict(v) + if nested: # only include if not empty after cleaning + result[k] = nested + else: + result[k] = v # type: ignore + return result + + @staticmethod + def filter_node_for_export(node: dict) -> dict: + """ + Filter a node dict for export to YAML. + + For columns: + - Cubes: columns are always excluded (they're inferred from metrics/dimensions) + - Other nodes: only includes columns with meaningful customizations + (display_name different from name, attributes, description, or partition). + Column types are excluded - let DJ infer them from the query/source. + """ + result = DeploymentService.clean_dict(node) + + # Cubes should never have columns in export - they're inferred from metrics/dimensions + if result.get("node_type") == "cube": + result.pop("columns", None) + # For other nodes, filter columns to only include meaningful customizations + elif "columns" in result and result["columns"]: + filtered_columns = [] + for col in result["columns"]: + # Check for meaningful customizations + has_custom_display = col.get("display_name") and col.get( + "display_name", + ) != col.get("name") + has_attributes = bool(col.get("attributes")) + has_description = bool(col.get("description")) + has_partition = bool(col.get("partition")) + + if ( + has_custom_display + or has_attributes + or has_description + or has_partition + ): + # Include column but exclude type (let DJ infer) + filtered_col = { + k: v + for k, v in col.items() + if k != "type" and v # Exclude type and empty values + } + filtered_columns.append(filtered_col) + + if filtered_columns: + result["columns"] = filtered_columns + else: + # Remove columns entirely if none have customizations + del result["columns"] + + return result + + def pull( + self, + namespace: str, + target_path: Union[str, Path], + ignore_existing_files: bool = False, + ): + """ + Export a namespace to a local project. + """ + path = Path(target_path) + if any(path.iterdir()) and not ignore_existing_files: + raise DJClientException("The target path must be empty") + deployment_spec = self.client._export_namespace_spec(namespace) + + namespace = deployment_spec["namespace"] + nodes: list[dict[str, Any]] = deployment_spec.get("nodes", []) + base_path = Path(target_path) + base_path.mkdir(parents=True, exist_ok=True) + + # Create a YAML for each node in the appropriate namespace folder + for node in nodes: + node_name = node["name"] + # Namespace folder is everything except the last part of the node + node_parts = node_name.replace("${prefix}", "").split(".") + node_namespace_path = base_path.joinpath(*node_parts[:-1]) + node_namespace_path.mkdir(parents=True, exist_ok=True) + + # File name is the last part of the node + file_name = node_parts[-1] + ".yaml" + file_path = node_namespace_path / file_name + + # Write YAML for this node (filter columns for cleaner output) + with open(file_path, "w") as yaml_file: + yaml.dump( + DeploymentService.filter_node_for_export(node), + yaml_file, + sort_keys=False, + ) + + # Write top-level dj.yaml with full deployment info + dj_yaml_path = base_path / "dj.yaml" + with open(dj_yaml_path, "w") as yaml_file: + project_spec = { + "name": f"Project {namespace} (Autogenerated)", + "description": f"This is an autogenerated project for namespace {namespace}", + "namespace": namespace, + } + yaml.safe_dump(project_spec, yaml_file, sort_keys=False) + + @staticmethod + def build_table(deployment_uuid: str, data: dict) -> Table: + """Return a fresh Table with current deployment results.""" + table = Table( + title=f"Deployment [bold green]{deployment_uuid}[/ bold green]\nNamespace [bold green]{data['namespace']}[/ bold green]", + box=box.SIMPLE_HEAVY, + expand=True, + ) + table.add_column("Type", style="cyan", no_wrap=True) + table.add_column("Name", style="magenta") + table.add_column("Operation", style="yellow") + table.add_column("Status", style="green") + table.add_column("Message", style="white") + + color_mapping = { + "success": "bold green", + "failed": "bold red", + "pending": "yellow", + "skipped": "bold gray", + } + + for result in data.get("results", []): + color = color_mapping.get(result.get("status"), "white") + table.add_row( + str(result.get("deploy_type", "")), + str(result.get("name", "")), + str(result.get("operation", "")), + f"[{color}]{result.get('status', '')}[/{color}]", + f"[gray]{result.get('message', '')}[/gray]", + ) + return table + + def push( + self, + source_path: str | Path, + namespace: str | None = None, + console: Console = Console(), + ): + """ + Push a local project to a namespace. + """ + console.print(f"[bold]Pushing project from:[/bold] {source_path}") + + deployment_spec = self._reconstruct_deployment_spec(source_path) + deployment_spec["namespace"] = namespace or deployment_spec.get("namespace") + deployment_data = self.client.deploy(deployment_spec) + deployment_uuid = deployment_data["uuid"] + + # console.print(f"[bold]Deployment initiated:[/bold] UUID {deployment_uuid}\n") + + # Max wait time for deployment to finish + timeout = time.time() + 300 # 5 minutes + + with Live( + DeploymentService.build_table(deployment_uuid, deployment_data), + console=console, + screen=False, + refresh_per_second=1, + ) as live: + while deployment_data.get("status") not in ("failed", "success"): + time.sleep(1) + deployment_data = self.client.check_deployment(deployment_uuid) + live.update( + DeploymentService.build_table(deployment_uuid, deployment_data), + ) + + if time.time() > timeout: + raise DJClientException("Deployment timed out after 5 minutes") + + live.update(DeploymentService.build_table(deployment_uuid, deployment_data)) + color = "green" if deployment_data.get("status") == "success" else "red" + console.print( + f"\nDeployment finished: [bold {color}]{deployment_data.get('status').upper()}[/bold {color}]", + ) + + def get_impact( + self, + source_path: str | Path, + namespace: str | None = None, + ) -> dict[str, Any]: + """ + Get impact analysis for a deployment without deploying. + Returns the impact analysis response from the server. + """ + deployment_spec = self._reconstruct_deployment_spec(source_path) + deployment_spec["namespace"] = namespace or deployment_spec.get("namespace") + return self.client.get_deployment_impact(deployment_spec) + + @staticmethod + def read_yaml_file(path: str | Path) -> dict[str, Any]: + with open(path, "r") as f: + return yaml.safe_load(f) + + def _collect_nodes_from_dir(self, base_dir: str | Path) -> list[dict[str, Any]]: + """ + Recursively collect all node YAML files under base_dir/nodes. + """ + nodes = [] + nodes_dir = Path(base_dir) + for path in nodes_dir.rglob("*.yaml"): + if path.name == "dj.yaml": + continue + node_dict = DeploymentService.read_yaml_file(path) + nodes.append(node_dict) + return nodes + + def _read_project_yaml(self, base_dir: str | Path) -> dict[str, Any]: + """ + Reads project-level dj.yaml + """ + project_path = Path(base_dir) / "dj.yaml" + if project_path.exists(): + return DeploymentService.read_yaml_file(project_path) + return {} + + def _reconstruct_deployment_spec(self, base_dir: str | Path) -> dict[str, Any]: + """ + Reads exported YAML files and reconstructs a DeploymentSpec-compatible dict. + """ + project_metadata = self._read_project_yaml(base_dir) + nodes = self._collect_nodes_from_dir(base_dir) + + # Deduplicate nodes by name (keep last occurrence) + seen_names: dict[str, dict] = {} + for node in nodes: + node_name = node.get("name", "") + if node_name in seen_names: + print( # pragma: no cover + f"WARNING: Duplicate node '{node_name}' found, keeping last occurrence", + ) + seen_names[node_name] = node + nodes = list(seen_names.values()) + + deployment_spec = { + "namespace": project_metadata.get("namespace", ""), # fallback to empty + "nodes": nodes, + "tags": project_metadata.get("tags", []), + } + + # Add deployment source if available from env vars + source = self._build_deployment_source() + if source: # pragma: no branch + deployment_spec["source"] = source + + return deployment_spec + + @staticmethod + def _build_deployment_source() -> dict[str, Any]: + """ + Build deployment source from environment variables. + + For Git deployments (when DJ_DEPLOY_REPO is set): + - DJ_DEPLOY_REPO: Git repository URL (triggers "git" source type) + - DJ_DEPLOY_BRANCH: Git branch name + - DJ_DEPLOY_COMMIT: Git commit SHA + - DJ_DEPLOY_CI_SYSTEM: CI system name (e.g., "github_actions", "jenkins", "rocket") + - DJ_DEPLOY_CI_RUN_URL: URL to the CI run/build + + For local deployments (when DJ_DEPLOY_REPO is not set): + - Hostname is auto-filled from the machine + - DJ_DEPLOY_REASON: Optional reason for the deployment + + Returns: + GitDeploymentSource dict if repo is specified, + LocalDeploymentSource dict otherwise (with hostname auto-filled) + """ + repo = os.getenv("DJ_DEPLOY_REPO") + + if repo: + # Git deployment source + source: dict[str, Any] = { + "type": "git", + "repository": repo, + } + branch = os.getenv("DJ_DEPLOY_BRANCH") + if branch: + source["branch"] = branch + commit = os.getenv("DJ_DEPLOY_COMMIT") + if commit: + source["commit_sha"] = commit + ci_system = os.getenv("DJ_DEPLOY_CI_SYSTEM") + if ci_system: + source["ci_system"] = ci_system + ci_run_url = os.getenv("DJ_DEPLOY_CI_RUN_URL") + if ci_run_url: + source["ci_run_url"] = ci_run_url + return source + + # Always track local deployments with auto-filled hostname + source = { + "type": "local", + "hostname": socket.gethostname(), + } + reason = os.getenv("DJ_DEPLOY_REASON") + if reason: + source["reason"] = reason + return source diff --git a/datajunction-clients/python/datajunction/exceptions.py b/datajunction-clients/python/datajunction/exceptions.py new file mode 100644 index 000000000..357f87a34 --- /dev/null +++ b/datajunction-clients/python/datajunction/exceptions.py @@ -0,0 +1,73 @@ +"""DJ client exceptions""" + +from typing import List + + +class DJClientException(Exception): + """ + Base class for client errors. + """ + + +class DJNamespaceAlreadyExists(DJClientException): + """ + Raised when a namespace to be created already exists. + """ + + def __init__(self, ns_name: str, *args) -> None: + self.message = f"Namespace `{ns_name}` already exists." + super().__init__(self.message, *args) + + +class DJTagAlreadyExists(DJClientException): + """ + Raised when a tag to be created already exists. + """ + + def __init__(self, tag_name: str, *args) -> None: + self.message = f"Tag `{tag_name}` already exists." + super().__init__(self.message, *args) + + +class DJTagDoesNotExist(DJClientException): + """ + Raised when a referenced tag does not exist. + """ + + def __init__(self, tag_name: str, *args) -> None: + self.message = f"Tag `{tag_name}` does not exist." + super().__init__(self.message, *args) + + +class DJDeploymentFailure(DJClientException): + """ + Raised when a deployment of a project includes any errors + """ + + def __init__(self, project_name: str, errors: List[dict], *args) -> None: + self.errors = errors + self.message = f"Some failures while deploying project `{project_name}`" + super().__init__(self.message, *args) + + +class DJTableAlreadyRegistered(DJClientException): + """ + Raised when a table is already regsistered in DJ. + """ + + def __init__(self, catalog: str, schema: str, table: str, *args) -> None: + self.message = f"Table `{catalog}.{schema}.{table}` is already registered." + super().__init__(self.message, *args) + + +class DJViewAlreadyRegistered(DJClientException): + """ + Raised when a view is already regsistered in DJ. + """ + + def __init__(self, catalog: str, schema: str, view: str, *args) -> None: + self.message = ( + f"View `{catalog}.{schema}.{view}` is already registered, " + "use replace=True to force a refresh." + ) + super().__init__(self.message, *args) diff --git a/datajunction-clients/python/datajunction/models.py b/datajunction-clients/python/datajunction/models.py new file mode 100644 index 000000000..a132d731f --- /dev/null +++ b/datajunction-clients/python/datajunction/models.py @@ -0,0 +1,271 @@ +"""Models used by the DJ client.""" + +import enum +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +from datajunction._base import SerializableMixin + +if TYPE_CHECKING: # pragma: no cover + from datajunction.client import DJClient + + +@dataclass +class Engine(SerializableMixin): + """ + Represents an engine + """ + + name: str + version: Optional[str] + + +class MetricDirection(str, enum.Enum): + """ + The direction of the metric that's considered good, i.e., higher is better + """ + + HIGHER_IS_BETTER = "higher_is_better" + LOWER_IS_BETTER = "lower_is_better" + NEUTRAL = "neutral" + + +class MetricUnit(str, enum.Enum): + """ + Unit + """ + + UNKNOWN = "unknown" + UNITLESS = "unitless" + PERCENTAGE = "percentage" + PROPORTION = "proportion" + DOLLAR = "dollar" + SECOND = "second" + MINUTE = "minute" + HOUR = "hour" + DAY = "day" + WEEK = "week" + MONTH = "month" + YEAR = "year" + + +@dataclass +class MetricMetadata(SerializableMixin): + """ + Metric metadata output + """ + + direction: MetricDirection | None + unit: MetricUnit | None + significant_digits: int | None + min_decimal_exponent: int | None + max_decimal_exponent: int | None + + @classmethod + def from_dict( + cls, + dj_client: Optional["DJClient"], + data: Dict[str, Any], + ) -> "MetricMetadata": + """ + Create an instance of the given dataclass `cls` from a dictionary `data`. + This will handle nested dataclasses and optional types. + """ + return cls( + direction=MetricDirection(data["direction"].lower()), + unit=MetricUnit(data["unit"]["name"].lower()), + significant_digits=data["significant_digits"], + min_decimal_exponent=data["min_decimal_exponent"], + max_decimal_exponent=data["max_decimal_exponent"], + ) + + +class MaterializationJobType(str, enum.Enum): + """ + Materialization job types + """ + + SPARK_SQL = "spark_sql" + DRUID_CUBE = "druid_cube" + + +class MaterializationStrategy(str, enum.Enum): + """ + Materialization strategies + """ + + FULL = "full" + SNAPSHOT = "snapshot" + INCREMENTAL_TIME = "incremental_time" + VIEW = "view" + + +@dataclass +class Materialization(SerializableMixin): + """ + A node's materialization config + """ + + job: MaterializationJobType + strategy: MaterializationStrategy + schedule: str + config: Dict + + def to_dict(self) -> Dict: + """ + Convert to a dict + """ + return { + "job": self.job.value, + "strategy": self.strategy.value, + "schedule": self.schedule, + "config": self.config, + } + + +class NodeMode(str, enum.Enum): + """ + DJ node's mode + """ + + DRAFT = "draft" + PUBLISHED = "published" + + +class NodeStatus(str, enum.Enum): + """ + DJ node's status + """ + + VALID = "valid" + INVALID = "invalid" + + +class NodeType(str, enum.Enum): + """ + DJ node types + """ + + METRIC = "metric" + DIMENSION = "dimension" + SOURCE = "source" + TRANSFORM = "transform" + CUBE = "cube" + + +@dataclass +class ColumnAttribute(SerializableMixin): + """ + Represents a column attribute + """ + + name: str + namespace: Optional[str] = "system" + + @classmethod + def from_dict( + cls, + dj_client: Optional["DJClient"], + data: Dict[str, Any], + ) -> "ColumnAttribute": + """ + Create an instance of the given dataclass `cls` from a dictionary `data`. + This will handle nested dataclasses and optional types. + """ + return ColumnAttribute(**data["attribute_type"]) + + +@dataclass +class Column(SerializableMixin): + """ + Represents a column + """ + + name: str + type: str + display_name: Optional[str] = None + description: Optional[str] = None + attributes: Optional[List[ColumnAttribute]] = None + dimension: Optional[str] = None + dimension_column: Optional[str] = None + + +@dataclass +class UpdateNode(SerializableMixin): # pylint: disable=too-many-instance-attributes + """ + Fields for updating a node + """ + + display_name: Optional[str] = None + description: Optional[str] = None + mode: Optional[NodeMode] = None + primary_key: Optional[List[str]] = None + query: Optional[str] = None + # this is a problem .... fails many tests + custom_metadata: Optional[Dict] = None + + # source nodes only + catalog: Optional[str] = None + schema_: Optional[str] = None + table: Optional[str] = None + columns: Optional[List[Column]] = field(default_factory=list[Column]) + + # cube nodes only + metrics: Optional[List[str]] = None + dimensions: Optional[List[str]] = None + filters: Optional[List[str]] = None + orderby: Optional[List[str]] = None + limit: Optional[int] = None + + # metric nodes only + required_dimensions: Optional[List[str]] = None + metric_metadata: Optional[MetricMetadata] = None + + +@dataclass +class UpdateTag(SerializableMixin): + """ + Model for a tag update + """ + + description: Optional[str] + tag_metadata: Optional[Dict] + + +class QueryState(str, enum.Enum): + """ + Different states of a query. + """ + + UNKNOWN = "UNKNOWN" + ACCEPTED = "ACCEPTED" + SCHEDULED = "SCHEDULED" + RUNNING = "RUNNING" + FINISHED = "FINISHED" + CANCELED = "CANCELED" + FAILED = "FAILED" + + @classmethod + def list(cls) -> List[str]: + """ + List of available query states as strings + """ + return list(map(lambda c: c.value, cls)) # type: ignore + + +@dataclass +class AvailabilityState(SerializableMixin): + """ + Represents the availability state for a node. + """ + + catalog: str + schema_: Optional[str] + table: str + valid_through_ts: int + + min_temporal_partition: Optional[List[str]] = None + max_temporal_partition: Optional[List[str]] = None + + +END_JOB_STATES = [QueryState.FINISHED, QueryState.CANCELED, QueryState.FAILED] diff --git a/datajunction-clients/python/datajunction/nodes.py b/datajunction-clients/python/datajunction/nodes.py new file mode 100644 index 000000000..31002155b --- /dev/null +++ b/datajunction-clients/python/datajunction/nodes.py @@ -0,0 +1,646 @@ +"""DataJunction base client setup.""" + +import abc + +# pylint: disable=redefined-outer-name, import-outside-toplevel, too-many-lines, protected-access +from dataclasses import asdict, dataclass +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +import requests + +from datajunction import models +from datajunction._base import SerializableMixin +from datajunction._internal import ClientEntity +from datajunction.exceptions import DJClientException +from datajunction.tags import Tag + +if TYPE_CHECKING: # pragma: no cover + pass + + +@dataclass +class Namespace(ClientEntity): # pylint: disable=protected-access + """ + Represents a namespace + """ + + namespace: str + + # + # List + # + def nodes(self): + """ + Retrieves all nodes under this namespace. + """ + return self.dj_client._get_nodes_in_namespace( + self.namespace, + ) + + def sources(self): + """ + Retrieves source nodes under this namespace. + """ + return self.dj_client._get_nodes_in_namespace( + self.namespace, + type_=models.NodeType.SOURCE, + ) + + def transforms(self): + """ + Retrieves transform nodes under this namespace. + """ + return self.dj_client._get_nodes_in_namespace( + self.namespace, + type_=models.NodeType.TRANSFORM, + ) + + def cubes(self): + """ + Retrieves cubes under this namespace. + """ + return self.dj_client._get_nodes_in_namespace( + self.namespace, + type_=models.NodeType.CUBE, + ) + + +@dataclass +class NodeName(SerializableMixin): + """Node name""" + + name: str + + +@dataclass +class DimensionLink(SerializableMixin): + """ + Dimension join links + """ + + dimension: NodeName + join_type: str + join_sql: str + join_cardinality: str + role: str | None + foreign_keys: dict[str, str | None] + + +@dataclass +class Node(ClientEntity): # pylint: disable=too-many-instance-attributes + """ + Represents a DJ node object + """ + + name: str + type: str + description: Optional[str] = None + mode: Optional[models.NodeMode] = None + status: Optional[str] = None + display_name: Optional[str] = None + availability: Optional[models.AvailabilityState] = None + tags: Optional[List[Tag]] = None + primary_key: Optional[List[str]] = None + materializations: Optional[List[Dict[str, Any]]] = None + version: Optional[str] = None + deactivated_at: Optional[int] = None + current_version: Optional[str] = None + columns: Optional[List[models.Column]] = None + query: Optional[str] = None + dimension_links: list[DimensionLink] | None = None + custom_metadata: Optional[Dict[str, Any]] = None + + def to_dict(self, exclude: Optional[List[str]] = None) -> Dict[str, Any]: + """ + Convert the source node to a dictionary. We need to make this method because + the default asdict() method from dataclasses does not handle nested dataclasses. + """ + dict_ = { + "name": self.name, + "type": self.type, + "description": self.description, + "mode": self.mode, + "status": self.status, + "display_name": self.display_name, + "availability": self.availability, + "tags": [ + # asdict() is not used to avoid dataclasses circular serialization error + tag.to_dict() if isinstance(tag, Tag) else tag + for tag in self.tags + ] + if self.tags + else None, + "primary_key": self.primary_key, + "materializations": self.materializations, + "version": self.version, + "deactivated_at": self.deactivated_at, + "current_version": self.current_version, + "columns": [ + asdict(col) if isinstance(col, models.Column) else col + for col in self.columns + ] + if self.columns + else None, + "query": self.query if hasattr(self, "query") else None, + "custom_metadata": self.custom_metadata + if hasattr(self, "custom_metadata") + else None, + } + exclude = exclude + self.exclude if exclude else self.exclude + dict_ = {k: v for k, v in dict_.items() if k not in exclude} + return dict_ + + # + # Node level actions + # + def list_revisions(self) -> List[dict]: + """ + List all revisions of this node + """ + return self.dj_client._get_node_revisions(self.name) + + @abc.abstractmethod + def _update(self) -> requests.Response: + """ + Update the node for fields that have changed. + """ + + def _update_tags(self) -> None: + """ + Update the tags on a node + """ + response = self.dj_client._update_node_tags( + node_name=self.name, + tags=[ + tag.name + if isinstance(tag, Tag) + else tag["name"] + if isinstance(tag, dict) + else tag + if isinstance(tag, str) + else None + for tag in self.tags + ] + if self.tags + else [], + ) + if not response.status_code < 400: # pragma: no cover + raise DJClientException( + f"Error updating tags for node {self.name}: {response.text}", + ) + + def save(self, mode: Optional[models.NodeMode] = models.NodeMode.PUBLISHED) -> dict: + """ + Saves the node to DJ, whether it existed before or not. + """ + existing_node = self.dj_client._get_node(node_name=self.name) + if "name" in existing_node: + # update + self._update_tags() + response = self._update() + if not response.status_code < 400: # pragma: no cover + raise DJClientException( + f"Error updating node `{self.name}`: {response.text}", + ) + self.refresh() + else: + # create + response = self.dj_client._create_node( + node=self, + mode=mode, + ) # pragma: no cover + if not response.status_code < 400: # pragma: no cover + raise DJClientException( + f"Error creating new node `{self.name}`: {response.text}", + ) + self._update_tags() + self.refresh() + + return response.json() + + def refresh(self): + """ + Refreshes a node with its latest version from the database. + """ + refreshed_node = self.dj_client._get_node(self.name) + for key, value in refreshed_node.items(): + if hasattr(self, key): + setattr(self, key, value) + return self + + def delete(self): + """ + Deletes the node (softly). We still keep it in an inactive state. + """ + return self.dj_client.delete_node(self.name) + + def restore(self): + """ + Restores (aka reactivates) the node. + """ + return self.dj_client.restore_node(self.name) + + # + # Node attributes level actions + # + def link_dimension( + self, + column: str, + dimension: str, + dimension_column: Optional[str] = None, + ): + """ + Links the dimension to this node via the node's `column` and the dimension's + `dimension_column`. If no `dimension_column` is provided, the dimension's + primary key will be used automatically. + """ + link_response = self.dj_client._link_dimension_to_node( + self.name, + column, + dimension, + dimension_column, + ) + self.refresh() + return link_response + + def add_reference_dimension_link( + self, + node_column: str, + dimension_node: str, + dimension_column: str, + role: Optional[str] = None, + ): + """ + Adds a reference dimension link from the node's `column` to the dimension node's + `dimension_column` + """ + link_response = self.dj_client._add_reference_dimension_link( + self.name, + node_column, + dimension_node, + dimension_column, + role, + ) + self.refresh() + return link_response + + def link_complex_dimension( # pylint: disable=too-many-arguments + self, + dimension_node: str, + join_type: Optional[str] = None, + *, + join_on: str, + join_cardinality: Optional[str] = None, + role: Optional[str] = None, + ): + """ + Links the dimension to this node via the specified join SQL. + """ + link_response = self.dj_client._link_complex_dimension_to_node( + node_name=self.name, + dimension_node=dimension_node, + join_type=join_type, + join_on=join_on, + join_cardinality=join_cardinality, + role=role, + ) + self.refresh() + return link_response + + def unlink_dimension( + self, + column: str, + dimension: str, + dimension_column: Optional[str], + ): + """ + Removes the dimension link on the node's `column` to the dimension. + """ + link_response = self.dj_client._unlink_dimension_from_node( # pylint: disable=protected-access + self.name, + column, + dimension, + dimension_column, + ) + self.refresh() + return link_response + + def remove_complex_dimension_link( + self, + dimension_node: str, + role: Optional[str] = None, + ): + """ + Removes a complex dimension link from this node + """ + unlink_response = self.dj_client._remove_complex_dimension_link( + node_name=self.name, + dimension_node=dimension_node, + role=role, + ) + self.refresh() + return unlink_response + + def remove_reference_dimension_link( + self, + node_column: str, + ): + """ + Remove a reference dimension linkk from the node's `column`. + """ + link_response = self.dj_client._remove_reference_dimension_link( + self.name, + node_column, + ) + self.refresh() + return link_response + + def add_materialization(self, config: models.Materialization): + """ + Adds a materialization for the node. This will not work for source nodes + as they don't need to be materialized. + """ + upsert_response = self.dj_client._upsert_materialization( + self.name, + config, + ) + self.refresh() + return upsert_response + + def deactivate_materialization(self, materialization_name: str): + """ + Deactivate a materialization for the node. + """ + response = self.dj_client._deactivate_materialization( + self.name, + materialization_name, + ) + self.refresh() + return response + + def add_availability(self, availability: models.AvailabilityState): + """ + Adds an availability state to the node + """ + return self.dj_client._add_availability_state(self.name, availability) + + def set_column_attributes( + self, + column_name: str, + attributes: List[models.ColumnAttribute], + ): + """ + Sets attributes for columns on the node + """ + return self.dj_client._set_column_attributes(self.name, column_name, attributes) + + def set_column_display_name( + self, + column_name: str, + display_name: str, + ): + """ + Sets the display name for a column on the node + """ + return self.dj_client._set_column_display_name( + self.name, + column_name, + display_name, + ) + + def set_column_description( + self, + column_name: str, + description: str, + ): + """ + Set the description for a column on the node + """ + return self.dj_client._set_column_description( + self.name, + column_name, + description, + ) + + +@dataclass +class Source(Node): + """ + DJ source node + """ + + type: str = "source" + catalog: Optional[str] = None + schema_: Optional[str] = None + table: Optional[str] = None + + def to_dict(self, exclude: Optional[List[str]] = None) -> Dict[str, Any]: + """ + Convert the source node to a dictionary + """ + dict_ = super().to_dict(exclude=exclude) + dict_["catalog"] = self.catalog + dict_["schema_"] = self.schema_ + dict_["table"] = self.table + return dict_ + + def __post_init__(self): + """ + When `catalog` is a dictionary, parse out the catalog's + name, otherwise just return the string. + """ + if self.catalog and isinstance(self.catalog, dict): + self.catalog = self.catalog["name"] + + def _update(self) -> requests.Response: + """ + Update the node for fields that have changed + """ + update_node = models.UpdateNode( + display_name=self.display_name, + description=self.description, + mode=self.mode, + primary_key=self.primary_key, + columns=self.columns, + ) + return self.dj_client._update_node(self.name, update_node) + + def validate(self) -> str: + """ + This method is only for Source nodes. + + It will compare the source node metadata and create a new revision if necessary. + """ + response = self.dj_client._refresh_source_node(self.name) + self.refresh() + return response["status"] + + +@dataclass +class NodeWithQuery(Node): + """ + Nodes with query attribute + """ + + query: str = "" + + def to_dict(self, exclude: Optional[List[str]] = None) -> Dict[str, Any]: + dict_ = super().to_dict(exclude=exclude) + dict_["query"] = self.query + return dict_ + + def _update(self) -> requests.Response: + """ + Update the node for fields that have changed. + """ + update_node = models.UpdateNode( + display_name=self.display_name, + description=self.description, + mode=self.mode, + primary_key=self.primary_key, + query=self.query, + custom_metadata=self.custom_metadata, + ) + return self.dj_client._update_node(self.name, update_node) + + def validate(self) -> str: + """ + Check if the node is valid by calling the /validate endpoint. + + For source nodes, see the Source.validate() method. + """ + validation = self.dj_client._validate_node(self) + return validation["status"] + + def publish(self) -> bool: + """ + Change a node's mode to published + """ + self.dj_client._publish_node( + self.name, + models.UpdateNode(mode=models.NodeMode.PUBLISHED), + ) + return True + + def get_upstreams(self) -> List[str]: + """ + Lists the upstream nodes of this node + """ + return [node["name"] for node in self.dj_client._get_node_upstreams(self.name)] + + def get_downstreams(self) -> List[str]: + """ + Lists the downstream nodes of this node + """ + return [ + node["name"] for node in self.dj_client._get_node_downstreams(self.name) + ] + + def get_dimensions(self) -> List[str]: + """ + Lists dimensions available for the node + """ + return self.dj_client._get_node_dimensions(self.name) + + +@dataclass +class Transform(NodeWithQuery): + """ + DJ transform node + """ + + type: str = "transform" + + +@dataclass +class Metric(NodeWithQuery): + """ + DJ metric node + """ + + type: str = "metric" + required_dimensions: Optional[List[str]] = None + metric_metadata: Optional[models.MetricMetadata] = None + + def to_dict(self, exclude: Optional[List[str]] = None) -> Dict[str, Any]: + """ + Convert the source node to a dictionary + """ + dict_ = super().to_dict(exclude=exclude) + dict_["required_dimensions"] = self.required_dimensions + dict_["metric_metadata"] = ( + asdict(self.metric_metadata) if self.metric_metadata else None + ) + return dict_ + + def dimensions(self): + """ + Returns the available dimensions for this metric. + """ + metric = self.dj_client.get_metric(self.name) + return metric["dimensions"] + + def _update(self) -> requests.Response: + """ + Update the node for fields that have changed. + """ + update_node = models.UpdateNode( + display_name=self.display_name, + description=self.description, + mode=self.mode, + primary_key=self.primary_key, + query=self.query, + required_dimensions=self.required_dimensions, + metric_metadata=self.metric_metadata, + ) + return self.dj_client._update_node(self.name, update_node) + + +@dataclass +class Dimension(NodeWithQuery): + """ + DJ dimension node + """ + + type: str = "dimension" + + def linked_nodes(self): + """ + Find all nodes linked to this dimension + """ + return [ + node["name"] + for node in self.dj_client._find_nodes_with_dimension(self.name) + ] + + +@dataclass +class Cube(Node): # pylint: disable=abstract-method + """ + DJ cube node + """ + + type: str = "cube" + metrics: Optional[List[str]] = None + dimensions: Optional[List[str]] = None + filters: Optional[List[str]] = None + + def to_dict(self, exclude: Optional[List[str]] = None) -> Dict[str, Any]: + """ + Convert the source node to a dictionary + """ + dict_ = super().to_dict(exclude=exclude) + dict_["metrics"] = self.metrics + dict_["dimensions"] = self.dimensions + dict_["filters"] = self.filters + return dict_ + + def _update(self): # pragma: no cover + update_node = models.UpdateNode( + description=self.description, + mode=self.mode, + metrics=self.metrics, + dimensions=self.dimensions, + filters=self.filters, + ) + return self.dj_client._update_node(self.name, update_node) diff --git a/datajunction-clients/python/datajunction/seed/init_system_nodes.py b/datajunction-clients/python/datajunction/seed/init_system_nodes.py new file mode 100644 index 000000000..1e3c5c9a0 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/init_system_nodes.py @@ -0,0 +1,48 @@ +import logging + +from datajunction import DJBuilder, Project +from datajunction.exceptions import DJClientException +from datajunction._internal import RequestsSessionWithEndpoint + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +session = RequestsSessionWithEndpoint(endpoint="http://dj:8000") +session.post("/basic/login/", data={"username": "dj", "password": "dj"}) + +dj = DJBuilder(requests_session=session) + +tables = [ + "node", + "noderevision", + "users", + "materialization", + "node_owners", + "availabilitystate", + "backfill", + "collection", + "dimensionlink", +] + +for table in tables: + try: + logger.info("Registering table: %s", table) + dj.register_table("dj_metadata", "public", table) + except DJClientException as exc: + if "already exists" in str(exc): + logger.info("Already exists: %s", table) + else: + logger.error("Error registering tables: %s", exc) +logger.info("Finished registering DJ system metadata tables") + +logger.info("Loading DJ system nodes...") +project = Project.load("nodes") +logger.info("Finished loading DJ system nodes.") + +logger.info("Compiling DJ system nodes...") +compiled_project = project.compile() +logger.info("Finished compiling DJ system nodes.") + +logger.info("Deploying DJ system nodes...") +compiled_project.deploy(client=dj) +logger.info("Finished deploying DJ system nodes.") diff --git a/datajunction-clients/python/datajunction/seed/nodes/date.dimension.yaml b/datajunction-clients/python/datajunction/seed/nodes/date.dimension.yaml new file mode 100644 index 000000000..aaaab374f --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/date.dimension.yaml @@ -0,0 +1,8 @@ +display_name: Date +description: '' +query: 'SELECT 1 AS dateint ' +columns: [] +primary_key: +- dateint +dimension_links: [] +tags: [] diff --git a/datajunction-clients/python/datajunction/seed/nodes/dimension_link.dimension.yaml b/datajunction-clients/python/datajunction/seed/nodes/dimension_link.dimension.yaml new file mode 100644 index 000000000..c919cbed6 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/dimension_link.dimension.yaml @@ -0,0 +1,17 @@ +display_name: Dimension Link +description: '' +query: |- + SELECT + id, + dimension_id, + node_revision_id + FROM source.dj_metadata.public.dimensionlink +columns: [] +primary_key: +- id +dimension_links: +- type: join + dimension_node: ${prefix}nodes + join_type: left + join_on: ${prefix}dimension_link.dimension_id = ${prefix}nodes.id +tags: [] diff --git a/datajunction-clients/python/datajunction/seed/nodes/dj.yaml b/datajunction-clients/python/datajunction/seed/nodes/dj.yaml new file mode 100644 index 000000000..6b8bf3045 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/dj.yaml @@ -0,0 +1,15 @@ +name: DJ System Metadata +description: This project contains DJ system metadata modeled in DJ itself. +prefix: system.dj +build: + priority: + - materialization + - nodes + - dimension_link + - number_of_materializations + - node_type + - date + - node_without_description + - is_active + - user + - number_of_nodes diff --git a/datajunction-clients/python/datajunction/seed/nodes/is_active.dimension.yaml b/datajunction-clients/python/datajunction/seed/nodes/is_active.dimension.yaml new file mode 100644 index 000000000..fd65e8c67 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/is_active.dimension.yaml @@ -0,0 +1,15 @@ +display_name: Is Active +description: '' +query: |- + SELECT + active_id, active_status + FROM + VALUES + (true, 'Active'), + (false, 'Deactivated') + AS t (active_id, active_status); +columns: [] +primary_key: +- active_id +dimension_links: [] +tags: [] diff --git a/datajunction-clients/python/datajunction/seed/nodes/materialization.dimension.yaml b/datajunction-clients/python/datajunction/seed/nodes/materialization.dimension.yaml new file mode 100644 index 000000000..e434ace7c --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/materialization.dimension.yaml @@ -0,0 +1,20 @@ +display_name: Materialization +description: '' +query: |- + SELECT + M.name, + M.id, + M.node_revision_id, + M.job, + M.strategy, + M.schedule + FROM source.dj_metadata.public.materialization M +columns: [] +primary_key: +- id +dimension_links: +- type: join + dimension_node: ${prefix}nodes + join_type: inner + join_on: ${prefix}materialization.node_revision_id = ${prefix}nodes.current_revision_id +tags: [] diff --git a/datajunction-clients/python/datajunction/seed/nodes/node_type.dimension.yaml b/datajunction-clients/python/datajunction/seed/nodes/node_type.dimension.yaml new file mode 100644 index 000000000..4e0fd9e97 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/node_type.dimension.yaml @@ -0,0 +1,18 @@ +display_name: Node Type +description: '' +query: |- + SELECT + type, type_upper + FROM + VALUES + ('source', 'SOURCE'), + ('transform', 'TRANSFORM'), + ('dimension', 'DIMENSION'), + ('metric', 'METRIC'), + ('cube', 'CUBE') + AS t (type, type_upper); +columns: [] +primary_key: +- type_upper +dimension_links: [] +tags: [] diff --git a/datajunction-clients/python/datajunction/seed/nodes/node_without_description.metric.yaml b/datajunction-clients/python/datajunction/seed/nodes/node_without_description.metric.yaml new file mode 100644 index 000000000..08870589d --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/node_without_description.metric.yaml @@ -0,0 +1,18 @@ +display_name: Node without Description +description: '' +query: |- + SELECT SUM(CASE + WHEN is_active = True AND description IS NULL OR description = '' THEN 1.0 + ELSE 0.0 + END) * 1.0 / SUM(CASE + WHEN is_active = True THEN 1.0 + ELSE 0.0 + END) + FROM ${prefix}nodes +tags: [] +required_dimensions: [] +direction: null +unit: null +significant_digits: null +min_decimal_exponent: null +max_decimal_exponent: null diff --git a/datajunction-clients/python/datajunction/seed/nodes/nodes.dimension.yaml b/datajunction-clients/python/datajunction/seed/nodes/nodes.dimension.yaml new file mode 100644 index 000000000..da228ccd6 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/nodes.dimension.yaml @@ -0,0 +1,41 @@ +display_name: Nodes +description: '' +query: |- + SELECT + id, + N.name, + NR.display_name, + cast(N.type AS STRING) type, + N.namespace, + N.created_by_id, + N.created_at, + CAST(TO_CHAR(CAST(N.created_at AS date), 'YYYYMMDD') AS integer) AS created_at_date, + CAST(TO_CHAR(CAST(DATE_TRUNC('week', N.created_at) AS date), 'YYYYMMDD') AS integer) AS created_at_week, + N.current_version, + CASE WHEN deactivated_at IS NULL THEN true ELSE false END AS is_active, + NR.status, + NR.description, + NR.id AS current_revision_id + FROM source.dj_metadata.public.node N + JOIN source.dj_metadata.public.noderevision NR ON NR.node_id = N.id AND NR.version = N.current_version +columns: [] +primary_key: +- id +dimension_links: +- type: join + dimension_node: ${prefix}user + join_type: left + join_on: ${prefix}nodes.created_by_id = ${prefix}user.id +- type: join + dimension_node: ${prefix}date + join_type: left + join_on: ${prefix}nodes.created_at_date = ${prefix}date.dateint +- type: join + dimension_node: ${prefix}is_active + join_type: left + join_on: ${prefix}nodes.is_active = ${prefix}is_active.active_id +- type: join + dimension_node: ${prefix}node_type + join_type: left + join_on: ${prefix}nodes.type = ${prefix}node_type.type_upper +tags: [] diff --git a/datajunction-clients/python/datajunction/seed/nodes/number_of_materializations.metric.yaml b/datajunction-clients/python/datajunction/seed/nodes/number_of_materializations.metric.yaml new file mode 100644 index 000000000..3b13c6fa8 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/number_of_materializations.metric.yaml @@ -0,0 +1,12 @@ +display_name: Number of Materializations +description: '' +query: |- + SELECT COUNT(id) + FROM ${prefix}materialization +tags: [] +required_dimensions: [] +direction: null +unit: null +significant_digits: null +min_decimal_exponent: null +max_decimal_exponent: null diff --git a/datajunction-clients/python/datajunction/seed/nodes/number_of_nodes.metric.yaml b/datajunction-clients/python/datajunction/seed/nodes/number_of_nodes.metric.yaml new file mode 100644 index 000000000..bd0c21053 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/number_of_nodes.metric.yaml @@ -0,0 +1,12 @@ +display_name: Number of Nodes +description: '' +query: |- + SELECT COUNT(id) + FROM ${prefix}nodes +tags: [] +required_dimensions: [] +direction: null +unit: null +significant_digits: null +min_decimal_exponent: null +max_decimal_exponent: null diff --git a/datajunction-clients/python/datajunction/seed/nodes/user.dimension.yaml b/datajunction-clients/python/datajunction/seed/nodes/user.dimension.yaml new file mode 100644 index 000000000..4f57ebe68 --- /dev/null +++ b/datajunction-clients/python/datajunction/seed/nodes/user.dimension.yaml @@ -0,0 +1,9 @@ +display_name: User +description: '' +query: |- + SELECT id, username FROM source.dj_metadata.public.users +columns: [] +primary_key: +- id +dimension_links: [] +tags: [] diff --git a/datajunction-clients/python/datajunction/tags.py b/datajunction-clients/python/datajunction/tags.py new file mode 100644 index 000000000..ae44fdce8 --- /dev/null +++ b/datajunction-clients/python/datajunction/tags.py @@ -0,0 +1,83 @@ +""" +Models related to tags +""" + +# pylint: disable=protected-access +from dataclasses import dataclass +from typing import Dict, Optional + +from datajunction._internal import ClientEntity +from datajunction.exceptions import DJClientException +from datajunction.models import UpdateTag + + +@dataclass +class Tag(ClientEntity): + """ + Node tag. + """ + + name: str + tag_type: str + description: Optional[str] = None + display_name: Optional[str] = None + tag_metadata: Optional[Dict] = None + + def to_dict(self) -> dict: + """ + Convert the tag to a dictionary. We need to make this method because + the default asdict() method from dataclasses does not handle nested dataclasses. + """ + return { + "name": self.name, + "tag_type": self.tag_type, + "description": self.description, + "display_name": self.display_name, + "tag_metadata": self.tag_metadata, + } + + def _update(self) -> dict: + """ + Update the tag for fields that have changed + """ + update_tag = UpdateTag( + description=self.description, + tag_metadata=self.tag_metadata, + ) + response = self.dj_client._update_tag(self.name, update_tag) + if not response.status_code < 400: # pragma: no cover + raise DJClientException( + f"Error updating tag `{self.name}`: {response.text}", + ) + return response.json() + + def save(self) -> dict: + """ + Saves the tag to DJ, whether it existed before or not. + """ + existing_tag = self.dj_client._get_tag(tag_name=self.name) + if "name" in existing_tag: + # update + response_json = self._update() + self.refresh() + else: + # create + response = 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"yian.shang@gmail.com"}, +] +dependencies = [ + "requests<3.0.0,>=2.28.2", + "alive-progress>=3.1.2", + "pyyaml>=6.0.1", + "rich>=13.7.0", + "pytest-xdist>=3.5.0", + "httpx>=0.27.0", +] +requires-python = ">=3.10,<4.0" +readme = "README.md" +license = {text = "MIT"} +classifiers = [ + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", +] + +[project.optional-dependencies] +pandas = ["pandas>=2.0.2"] + +[tool.hatch.version] +path = "datajunction/__about__.py" + + +[tool.pdm] +[tool.pdm.build] +includes = ["datajunction"] + +[project.scripts] +dj = "datajunction.cli:main" + +[tool.hatch.build.targets.wheel] +packages = ["datajunction"] +include = [ + "datajunction/seed/**" +] + +[project.urls] +repository = "https://github.com/DataJunction/dj" + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.coverage.run] +source = ['datajunction/'] + +[tool.isort] +src_paths = ["datajunction/", "tests/"] +profile = 'black' + +[tool.pytest.ini_options] +norecursedirs = ["datajunction/seed"] + +[dependency-groups] +test = [ + "pre-commit>=3.2.2", + "pylint>=2.17.3", + "pytest-asyncio>=0.21.0", + "pytest-cov>=4.0.0", + "pytest-integration>=0.2.3", + "pytest-mock>=3.10.0", + "pytest>=7.3.1", + "responses>=0.23.1", + "fastapi>=0.79.0", + "urllib3<2", + "datajunction-server @ {root:uri}/../../datajunction-server", + "namesgenerator==0.3", + "testcontainers>=3.7.1", + "greenlet>=3.0.3", + "jinja2>=3.1.4", + "nbformat>=5.10.4", + "sqlglot>=18.0.1", + "pydantic-settings>=2.11.0", +] diff --git a/datajunction-clients/python/setup.cfg b/datajunction-clients/python/setup.cfg new file mode 100644 index 000000000..814ec3fa1 --- /dev/null +++ b/datajunction-clients/python/setup.cfg @@ -0,0 +1,19 @@ +# This file is used to configure your project. +# Read more about the various options under: +# https://setuptools.pypa.io/en/latest/userguide/declarative_config.html +# https://setuptools.pypa.io/en/latest/references/keywords.html + +[tool:pytest] +# Specify command line options as you would do when invoking pytest directly. +# e.g. --cov-report html (or xml) for html/xml output or --junitxml junit.xml +# in order to write a coverage file that can be read by Jenkins. +# CAUTION: --cov flags may prohibit setting breakpoints while debugging. +# Comment those flags to avoid this pytest issue. +addopts = + --cov datajunction --cov-report term-missing + --verbose +norecursedirs = + dist + build + .tox +testpaths = tests diff --git a/tests/__init__.py b/datajunction-clients/python/tests/__init__.py similarity index 100% rename from tests/__init__.py rename to datajunction-clients/python/tests/__init__.py diff --git a/datajunction-clients/python/tests/conftest.py b/datajunction-clients/python/tests/conftest.py new file mode 100644 index 000000000..40b1d5446 --- /dev/null +++ b/datajunction-clients/python/tests/conftest.py @@ -0,0 +1,516 @@ +""" +Fixtures for testing DJ client. +""" + +# pylint: disable=redefined-outer-name, invalid-name, W0611 +import asyncio +import re +from contextlib import ExitStack, asynccontextmanager, contextmanager +from datetime import timedelta +import os +from http.client import HTTPException +from pathlib import Path +from typing import AsyncGenerator, Awaitable, Dict, Iterator, List, Optional +from unittest.mock import MagicMock, patch + +import pytest +import pytest_asyncio +from cachelib import SimpleCache +from datajunction_server.api.main import create_app +from datajunction_server.config import Settings, DatabaseConfig +from datajunction_server.database.base import Base +from datajunction_server.database.column import Column +from datajunction_server.database.engine import Engine +from datajunction_server.database.user import OAuthProvider, User +from datajunction_server.internal.access.authentication.tokens import create_token +from datajunction_server.models.materialization import MaterializationInfo +from datajunction_server.models.query import ( + QueryCreate, + QueryWithResults, +) +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.typing import QueryState +from datajunction_server.utils import ( + get_query_service_client, + get_session, + get_settings, +) +from fastapi import FastAPI, Request +from pytest_mock import MockerFixture +from sqlalchemy import text +from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine +from sqlalchemy.pool import StaticPool, NullPool +from starlette.testclient import TestClient +from testcontainers.core.waiting_utils import wait_for_logs +from testcontainers.postgres import PostgresContainer + +from datajunction import DJBuilder +from tests.examples import COLUMN_MAPPINGS, EXAMPLES, QUERY_DATA_MAPPINGS + + +def post_and_raise_if_error(server: TestClient, endpoint: str, json: dict): + """ + Post the payload to the client and raise if there's an error + """ + response = server.post(endpoint, json=json) + if not response.status_code < 400: + raise HTTPException(response.text) + + +@pytest.fixture +def change_to_project_dir(request): + """ + Returns a function that changes to a specified project directory + only for a single test. At the end of the test, this will change back + to the tests directory to prevent any side-effects. + """ + + def _change_to_project_dir(project: str): + """ + Changes to the directory for a specific example project + """ + os.chdir(os.path.join(request.fspath.dirname, "examples", project)) + + try: + yield _change_to_project_dir + finally: + os.chdir(request.config.invocation_params.dir) + + +@pytest.fixture +def change_to_package_root_dir(request): + """ + Changes to the datajunction package root dir only for a single test + At the end of the test, this will change back + to the tests directory to prevent any side-effects. + """ + try: + os.chdir(Path(request.fspath.dirname).parent) + finally: + os.chdir(request.config.invocation_params.dir) + + +def pytest_addoption(parser): + """ + Add flags + """ + parser.addoption( + "--integration", + action="store_true", + dest="integration", + default=False, + help="Run integration tests", + ) + + +# +# Module scope fixtures +# +@pytest.fixture(scope="module") +def module__settings(module_mocker: MockerFixture) -> Iterator[Settings]: + """ + Custom settings for unit tests. + """ + writer_db = DatabaseConfig(uri="sqlite://") + settings = Settings( + writer_db=writer_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + transpilation_plugins=["default"], + ) + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import SQLTranspilationPlugin + + register_dialect_plugin("spark", SQLTranspilationPlugin) + register_dialect_plugin("trino", SQLTranspilationPlugin) + register_dialect_plugin("druid", SQLTranspilationPlugin) + + module_mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + + yield settings + + +@pytest.fixture(scope="module") +def event_loop(): + """ + This fixture is OK because we are pinning the pytest_asyncio to 0.21.x. + When they fix https://github.com/pytest-dev/pytest-asyncio/issues/718 + we can remove the pytest_asyncio pin and remove this fixture. + """ + try: + loop = asyncio.get_running_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + yield loop + loop.close() + + +@pytest_asyncio.fixture(scope="module") +async def module__session( + module__postgres_container: PostgresContainer, +) -> AsyncGenerator[AsyncSession, None]: + """ + Create a Postgres session to test models. + """ + engine = create_async_engine( + url=module__postgres_container.get_connection_url(), + poolclass=StaticPool, + ) + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm;")) + await conn.run_sync(Base.metadata.create_all) + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + async with async_session_factory() as session: + yield session + + async with engine.begin() as conn: + await conn.run_sync(Base.metadata.drop_all) + + # for AsyncEngine created in function scope, close and + # clean-up pooled connections + await engine.dispose() + + +@pytest.fixture(scope="module") +def module__query_service_client( + module_mocker: MockerFixture, +) -> Iterator[QueryServiceClient]: + """ + Custom settings for unit tests. + """ + qs_client = QueryServiceClient(uri="query_service:8001") + qs_client.query_state = QueryState.RUNNING # type: ignore + + def mock_get_columns_for_table( + catalog: str, + schema: str, + table: str, + engine: Optional[Engine] = None, # pylint: disable=unused-argument + request_headers: Optional[ # pylint: disable=unused-argument + Dict[str, str] + ] = None, + ) -> List[Column]: + return COLUMN_MAPPINGS[f"{catalog}.{schema}.{table}"] + + module_mocker.patch.object( + qs_client, + "get_columns_for_table", + mock_get_columns_for_table, + ) + + def mock_submit_query( + query_create: QueryCreate, + request_headers: Optional[ # pylint: disable=unused-argument + Dict[str, str] + ] = None, + ) -> QueryWithResults: + normalized_query = ( + query_create.submitted_query.strip() + .replace('"', "") + .replace("\n", "") + .replace(" ", "") + ) + # Strip LIMIT clause for matching (allows queries with/without LIMIT to match) + normalized_query = re.sub(r"LIMIT\d+$", "", normalized_query) + + if normalized_query not in QUERY_DATA_MAPPINGS: + raise KeyError(f"No mock found for query:\n{normalized_query}") + results = QUERY_DATA_MAPPINGS[normalized_query] + + if isinstance(results, Exception): + raise results + + if results.state not in (QueryState.FAILED,): + results.state = qs_client.query_state # type: ignore + qs_client.query_state = QueryState.FINISHED # type: ignore + return results + + module_mocker.patch.object( + qs_client, + "submit_query", + mock_submit_query, + ) + + def mock_create_view( + view_name: str, + query_create: QueryCreate, # pylint: disable=unused-argument + request_headers: Optional[ # pylint: disable=unused-argument + Dict[str, str] + ] = None, + ) -> str: + return f"View {view_name} created successfully." + + module_mocker.patch.object( + qs_client, + "create_view", + mock_create_view, + ) + + mock_materialize = MagicMock() + mock_materialize.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + module_mocker.patch.object( + qs_client, + "materialize", + mock_materialize, + ) + + mock_deactivate_materialization = MagicMock() + mock_deactivate_materialization.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=[], + ) + module_mocker.patch.object( + qs_client, + "deactivate_materialization", + mock_deactivate_materialization, + ) + + mock_get_materialization_info = MagicMock() + mock_get_materialization_info.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + module_mocker.patch.object( + qs_client, + "get_materialization_info", + mock_get_materialization_info, + ) + yield qs_client + + +@contextmanager +def patch_session_contexts( + session_factory, + use_patch: bool = True, +) -> Iterator[None]: + patch_targets = ( + [ + "datajunction_server.internal.caching.query_cache_manager.session_context", + "datajunction_server.internal.nodes.session_context", + "datajunction_server.internal.materializations.session_context", + "datajunction_server.api.deployments.session_context", + ] + if use_patch + else [] + ) + + @asynccontextmanager + async def fake_session_context( + request: Request = None, + ) -> AsyncGenerator[AsyncSession, None]: + session = await session_factory() + try: + yield session + finally: + await session.close() + + with ExitStack() as stack: + for target in patch_targets: + stack.enter_context(patch(target, fake_session_context)) + yield + + +def create_session_factory(postgres_container) -> Awaitable[AsyncSession]: + """ + Returns a factory function that creates a new AsyncSession each time it is called. + """ + engine = create_async_engine( + url=postgres_container.get_connection_url(), + poolclass=NullPool, + ) + + async def init_db(): + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm;")) + await conn.run_sync(Base.metadata.create_all) + + # Make sure DB is initialized once + asyncio.get_event_loop().run_until_complete(init_db()) + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + + # Return a callable that produces a new session + async def get_session_factory() -> AsyncSession: + return async_session_factory() + + # Return the session factory and cleanup + return get_session_factory # type: ignore + + +@pytest.fixture(scope="module") +def module__session_factory(module__postgres_container) -> Awaitable[AsyncSession]: + return create_session_factory(module__postgres_container) + + +@pytest.fixture(scope="module") +def jwt_token() -> str: + """ + JWT token fixture for testing. + """ + return create_token( + {"username": "dj"}, + secret="a-fake-secretkey", + iss="http://localhost:8000/", + expires_delta=timedelta(hours=24), + ) + + +async def create_default_user(session: AsyncSession) -> User: + """ + A user fixture. + """ + new_user = User( + username="dj", + password="dj", + email="dj@datajunction.io", + name="DJ", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + ) + existing_user = await User.get_by_username(session, new_user.username) + if not existing_user: + session.add(new_user) + await session.commit() + user = new_user + else: + user = existing_user + await session.refresh(user) + return user + + +@pytest.fixture(scope="module") +def module__server( # pylint: disable=too-many-statements + module__session: AsyncSession, + module__settings: Settings, + module__query_service_client: QueryServiceClient, + module_mocker, + module__session_factory, + jwt_token, +) -> Iterator[TestClient]: + """ + Create a mock server for testing APIs that contains a mock query service. + """ + from datajunction_server.api.attributes import default_attribute_types + from datajunction_server.internal.seed import seed_default_catalogs + + def get_query_service_client_override( + request: Request = None, # pylint: disable=unused-argument + ) -> QueryServiceClient: + return module__query_service_client + + async def get_session_override() -> AsyncSession: + return module__session + + def get_settings_override() -> Settings: + return module__settings + + @asynccontextmanager + async def noop_lifespan(app: FastAPI): + """ + Lifespan context for initializing and tearing down app-wide resources, like the FastAPI cache + """ + await default_attribute_types(module__session) + await seed_default_catalogs(module__session) + await create_default_user(module__session) + + yield + + module_mocker.patch( + "datajunction_server.api.materializations.get_query_service_client", + get_query_service_client_override, + ) + + module_mocker.patch( + "datajunction_server.internal.caching.query_cache_manager.session_context", + return_value=module__session, + ) + with patch_session_contexts( + session_factory=module__session_factory, + use_patch=True, + ): + app = create_app(lifespan=noop_lifespan) + app.dependency_overrides[get_session] = get_session_override + app.dependency_overrides[get_settings] = get_settings_override + app.dependency_overrides[get_query_service_client] = ( + get_query_service_client_override + ) + + with TestClient(app) as test_client: + test_client.headers.update({"Authorization": f"Bearer {jwt_token}"}) + yield test_client + + app.dependency_overrides.clear() + + +@pytest.fixture(scope="module") +def module__session_with_examples(module__server: TestClient) -> TestClient: + """ + load examples + """ + for endpoint, json in EXAMPLES: + post_and_raise_if_error(server=module__server, endpoint=endpoint, json=json) # type: ignore + return module__server + + +@pytest.fixture(scope="module") +def module__postgres_container(request) -> PostgresContainer: + """ + Setup postgres container + """ + postgres = PostgresContainer( + image="postgres:latest", + username="dj", + password="dj", + dbname=request.module.__name__, + port=5432, + driver="psycopg", + ) + with postgres: + wait_for_logs( + postgres, + r"UTC \[1\] LOG: database system is ready to accept connections", + 10, + ) + yield postgres + + +@pytest.fixture(scope="module") +def builder_client(module__session_with_examples: TestClient): + """ + Returns a DJ client instance + """ + client = DJBuilder(requests_session=module__session_with_examples) # type: ignore + client.create_user( + email="dj@datajunction.io", + username="datajunction", + password="datajunction", + ) + client.basic_login( + username="datajunction", + password="datajunction", + ) + client.create_tag( + name="system-tag", + description="some system tag", + tag_type="system", + tag_metadata={}, + ) + return client diff --git a/datajunction-clients/python/tests/examples.py b/datajunction-clients/python/tests/examples.py new file mode 100644 index 000000000..c5f5f2774 --- /dev/null +++ b/datajunction-clients/python/tests/examples.py @@ -0,0 +1,1428 @@ +""" +Roads database examples loaded into DJ test session +""" + +from typing import Dict, Union + +from datajunction_server.database.column import Column +from datajunction_server.errors import DJException, DJQueryServiceClientException +from datajunction_server.models.query import ( + ColumnMetadata, + QueryWithResults, + StatementResults, +) +from datajunction_server.sql.parsing.types import IntegerType, StringType, TimestampType +from datajunction_server.typing import QueryState + +# pylint: disable=too-many-lines + +EXAMPLES = ( # type: ignore + ( + "/catalogs/", + {"name": "draft"}, + ), + ( + "/engines/", + {"name": "spark", "version": "3.1.1", "dialect": "spark"}, + ), + ( + "/catalogs/default/engines/", + [{"name": "spark", "version": "3.1.1", "dialect": "spark"}], + ), + ( + "/catalogs/", + {"name": "public"}, + ), + ( + "/engines/", + {"name": "postgres", "version": "15.2"}, + ), + ( + "/catalogs/public/engines/", + [{"name": "postgres", "version": "15.2"}], + ), + ( # DJ must be primed with a "default" namespace + "/namespaces/default/", + {}, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "municipality_id", "type": "string"}, + {"name": "hard_hat_id", "type": "int"}, + {"name": "order_date", "type": "timestamp"}, + {"name": "required_date", "type": "timestamp"}, + {"name": "dispatched_date", "type": "timestamp"}, + {"name": "dispatcher_id", "type": "int"}, + ], + "description": "All repair orders", + "mode": "published", + "name": "default.repair_orders", + "catalog": "default", + "schema_": "roads", + "table": "repair_orders", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "municipality_id", "type": "string"}, + {"name": "hard_hat_id", "type": "int"}, + {"name": "order_date", "type": "timestamp"}, + {"name": "required_date", "type": "timestamp"}, + {"name": "dispatched_date", "type": "timestamp"}, + {"name": "dispatcher_id", "type": "int"}, + ], + "description": "All repair orders", + "mode": "published", + "name": "default.repair_orders_foo", + "catalog": "default", + "schema_": "roads", + "table": "repair_orders", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "repair_type_id", "type": "int"}, + {"name": "price", "type": "float"}, + {"name": "quantity", "type": "int"}, + {"name": "discount", "type": "float"}, + ], + "description": "Details on repair orders", + "mode": "published", + "name": "default.repair_order_details", + "catalog": "default", + "schema_": "roads", + "table": "repair_order_details", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_type_id", "type": "int"}, + {"name": "repair_type_name", "type": "string"}, + {"name": "contractor_id", "type": "int"}, + ], + "description": "Information on types of repairs", + "mode": "published", + "name": "default.repair_type", + "catalog": "default", + "schema_": "roads", + "table": "repair_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "contractor_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "contact_name", "type": "string"}, + {"name": "contact_title", "type": "string"}, + {"name": "address", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "state", "type": "string"}, + {"name": "postal_code", "type": "string"}, + {"name": "country", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on contractors", + "mode": "published", + "name": "default.contractors", + "catalog": "default", + "schema_": "roads", + "table": "contractors", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_id", "type": "string"}, + {"name": "municipality_type_id", "type": "string"}, + ], + "description": "Lookup table for municipality and municipality types", + "mode": "published", + "name": "default.municipality_municipality_type", + "catalog": "default", + "schema_": "roads", + "table": "municipality_municipality_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_type_id", "type": "string"}, + {"name": "municipality_type_desc", "type": "string"}, + ], + "description": "Information on municipality types", + "mode": "published", + "name": "default.municipality_type", + "catalog": "default", + "schema_": "roads", + "table": "municipality_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_id", "type": "string"}, + {"name": "contact_name", "type": "string"}, + {"name": "contact_title", "type": "string"}, + {"name": "local_region", "type": "string"}, + {"name": "phone", "type": "string"}, + {"name": "state_id", "type": "int"}, + ], + "description": "Information on municipalities", + "mode": "published", + "name": "default.municipality", + "catalog": "default", + "schema_": "roads", + "table": "municipality", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "dispatcher_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on dispatchers", + "mode": "published", + "name": "default.dispatchers", + "catalog": "default", + "schema_": "roads", + "table": "dispatchers", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "hard_hat_id", "type": "int"}, + {"name": "last_name", "type": "string"}, + {"name": "first_name", "type": "string"}, + {"name": "title", "type": "string"}, + {"name": "birth_date", "type": "timestamp"}, + {"name": "hire_date", "type": "timestamp"}, + {"name": "address", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "state", "type": "string"}, + {"name": "postal_code", "type": "string"}, + {"name": "country", "type": "string"}, + {"name": "manager", "type": "int"}, + {"name": "contractor_id", "type": "int"}, + ], + "description": "Information on employees", + "mode": "published", + "name": "default.hard_hats", + "catalog": "default", + "schema_": "roads", + "table": "hard_hats", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "hard_hat_id", "type": "int"}, + {"name": "state_id", "type": "string"}, + ], + "description": "Lookup table for employee's current state", + "mode": "published", + "name": "default.hard_hat_state", + "catalog": "default", + "schema_": "roads", + "table": "hard_hat_state", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "state_id", "type": "int"}, + {"name": "state_name", "type": "string"}, + {"name": "state_abbr", "type": "string"}, + {"name": "state_region", "type": "int"}, + ], + "description": "Information on different types of repairs", + "mode": "published", + "name": "default.us_states", + "catalog": "default", + "schema_": "roads", + "table": "us_states", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "us_region_id", "type": "int"}, + {"name": "us_region_description", "type": "string"}, + ], + "description": "Information on US regions", + "mode": "published", + "name": "default.us_region", + "catalog": "default", + "schema_": "roads", + "table": "us_region", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Repair order dimension", + "query": """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM default.repair_orders + """, + "mode": "published", + "name": "default.repair_order", + "primary_key": ["repair_order_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Contractor dimension", + "query": """ + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country, + phone + FROM default.contractors + """, + "mode": "published", + "name": "default.contractor", + "primary_key": ["contractor_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension", + "query": """ + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM default.hard_hats + """, + "mode": "published", + "name": "default.hard_hat", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension", + "query": """ + SELECT + hh.hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id, + hhs.state_id AS state_id + FROM default.hard_hats hh + LEFT JOIN default.hard_hat_state hhs + ON hh.hard_hat_id = hhs.hard_hat_id + WHERE hh.state_id = 'NY' + """, + "mode": "published", + "name": "default.local_hard_hats", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "US state dimension", + "query": """ + SELECT + state_id, + state_name, + state_abbr AS state_short, + state_region, + r.us_region_description AS state_region_description + FROM default.us_states s + LEFT JOIN default.us_region r + ON s.state_region = r.us_region_id + """, + "mode": "published", + "name": "default.us_state", + "primary_key": ["state_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Dispatcher dimension", + "query": """ + SELECT + dispatcher_id, + company_name, + phone + FROM default.dispatchers + """, + "mode": "published", + "name": "default.dispatcher", + "primary_key": ["dispatcher_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Municipality dimension", + "query": """ + SELECT + m.municipality_id AS municipality_id, + contact_name, + contact_title, + local_region, + state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM default.municipality AS m + LEFT JOIN default.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN default.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc + """, + "mode": "published", + "name": "default.municipality_dim", + "primary_key": ["municipality_id"], + }, + ), + ( + "/nodes/metric/", + { + "description": "Number of repair orders", + "query": ("SELECT count(repair_order_id) FROM default.repair_orders"), + "mode": "published", + "name": "default.num_repair_orders", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average repair price", + "query": ( + "SELECT avg(price) as default_DOT_avg_repair_price " + "FROM default.repair_order_details" + ), + "mode": "published", + "name": "default.avg_repair_price", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair cost", + "query": ( + "SELECT sum(price) as default_DOT_total_repair_cost " + "FROM default.repair_order_details" + ), + "mode": "published", + "name": "default.total_repair_cost", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average length of employment", + "query": ( + "SELECT avg(NOW() - hire_date) as default_DOT_avg_length_of_employment " + "FROM default.hard_hats" + ), + "mode": "published", + "name": "default.avg_length_of_employment", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair order discounts", + "query": ("SELECT sum(price * discount) FROM default.repair_order_details"), + "mode": "published", + "name": "default.total_repair_order_discounts", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair order discounts", + "query": ("SELECT avg(price * discount) FROM default.repair_order_details"), + "mode": "published", + "name": "default.avg_repair_order_discounts", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average time to dispatch a repair order", + "query": ( + "SELECT avg(dispatched_date - order_date) FROM default.repair_orders" + ), + "mode": "published", + "name": "default.avg_time_to_dispatch", + }, + ), + ( + ( + "/nodes/default.repair_order_details/columns/repair_order_id/" + "?dimension=default.repair_order&dimension_column=repair_order_id" + ), + {}, + ), + ( + ( + "/nodes/default.repair_orders/columns/municipality_id/" + "?dimension=default.municipality_dim&dimension_column=municipality_id" + ), + {}, + ), + ( + ( + "/nodes/default.repair_type/columns/contractor_id/" + "?dimension=default.contractor&dimension_column=contractor_id" + ), + {}, + ), + ( + ( + "/nodes/default.repair_orders/columns/hard_hat_id/" + "?dimension=default.hard_hat&dimension_column=hard_hat_id" + ), + {}, + ), + ( + ( + "/nodes/default.repair_orders/columns/dispatcher_id/" + "?dimension=default.dispatcher&dimension_column=dispatcher_id" + ), + {}, + ), + ( + ( + "/nodes/default.hard_hat/columns/state/" + "?dimension=default.us_state&dimension_column=state_short" + ), + {}, + ), + ( + ( + "/nodes/default.repair_order_details/columns/repair_order_id/" + "?dimension=default.repair_order&dimension_column=repair_order_id" + ), + {}, + ), + ( + ( + "/nodes/default.repair_order/columns/dispatcher_id/" + "?dimension=default.dispatcher&dimension_column=dispatcher_id" + ), + {}, + ), + ( + ( + "/nodes/default.repair_order/columns/hard_hat_id/" + "?dimension=default.hard_hat&dimension_column=hard_hat_id" + ), + {}, + ), + ( + ( + "/nodes/default.repair_order/columns/municipality_id/" + "?dimension=default.municipality_dim&dimension_column=municipality_id" + ), + {}, + ), + ( # foo.bar Namespaced copy of roads database example + "/namespaces/foo.bar/", + {}, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "municipality_id", "type": "string"}, + {"name": "hard_hat_id", "type": "int"}, + {"name": "order_date", "type": "timestamp"}, + {"name": "required_date", "type": "timestamp"}, + {"name": "dispatched_date", "type": "timestamp"}, + {"name": "dispatcher_id", "type": "int"}, + ], + "description": "All repair orders", + "mode": "published", + "name": "foo.bar.repair_orders", + "catalog": "default", + "schema_": "roads", + "table": "repair_orders", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "repair_type_id", "type": "int"}, + {"name": "price", "type": "float"}, + {"name": "quantity", "type": "int"}, + {"name": "discount", "type": "float"}, + ], + "description": "Details on repair orders", + "mode": "published", + "name": "foo.bar.repair_order_details", + "catalog": "default", + "schema_": "roads", + "table": "repair_order_details", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_type_id", "type": "int"}, + {"name": "repair_type_name", "type": "string"}, + {"name": "contractor_id", "type": "int"}, + ], + "description": "Information on types of repairs", + "mode": "published", + "name": "foo.bar.repair_type", + "catalog": "default", + "schema_": "roads", + "table": "repair_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "contractor_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "contact_name", "type": "string"}, + {"name": "contact_title", "type": "string"}, + {"name": "address", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "state", "type": "string"}, + {"name": "postal_code", "type": "string"}, + {"name": "country", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on contractors", + "mode": "published", + "name": "foo.bar.contractors", + "catalog": "default", + "schema_": "roads", + "table": "contractors", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_id", "type": "string"}, + {"name": "municipality_type_id", "type": "string"}, + ], + "description": "Lookup table for municipality and municipality types", + "mode": "published", + "name": "foo.bar.municipality_municipality_type", + "catalog": "default", + "schema_": "roads", + "table": "municipality_municipality_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_type_id", "type": "string"}, + {"name": "municipality_type_desc", "type": "string"}, + ], + "description": "Information on municipality types", + "mode": "published", + "name": "foo.bar.municipality_type", + "catalog": "default", + "schema_": "roads", + "table": "municipality_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_id", "type": "string"}, + {"name": "contact_name", "type": "string"}, + {"name": "contact_title", "type": "string"}, + {"name": "local_region", "type": "string"}, + {"name": "phone", "type": "string"}, + {"name": "state_id", "type": "int"}, + ], + "description": "Information on municipalities", + "mode": "published", + "name": "foo.bar.municipality", + "catalog": "default", + "schema_": "roads", + "table": "municipality", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "dispatcher_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on dispatchers", + "mode": "published", + "name": "foo.bar.dispatchers", + "catalog": "default", + "schema_": "roads", + "table": "dispatchers", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "hard_hat_id", "type": "int"}, + {"name": "last_name", "type": "string"}, + {"name": "first_name", "type": "string"}, + {"name": "title", "type": "string"}, + {"name": "birth_date", "type": "timestamp"}, + {"name": "hire_date", "type": "timestamp"}, + {"name": "address", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "state", "type": "string"}, + {"name": "postal_code", "type": "string"}, + {"name": "country", "type": "string"}, + {"name": "manager", "type": "int"}, + {"name": "contractor_id", "type": "int"}, + ], + "description": "Information on employees", + "mode": "published", + "name": "foo.bar.hard_hats", + "catalog": "default", + "schema_": "roads", + "table": "hard_hats", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "hard_hat_id", "type": "int"}, + {"name": "state_id", "type": "string"}, + ], + "description": "Lookup table for employee's current state", + "mode": "published", + "name": "foo.bar.hard_hat_state", + "catalog": "default", + "schema_": "roads", + "table": "hard_hat_state", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "state_id", "type": "int"}, + {"name": "state_name", "type": "string"}, + {"name": "state_abbr", "type": "string"}, + {"name": "state_region", "type": "int"}, + ], + "description": "Information on different types of repairs", + "mode": "published", + "name": "foo.bar.us_states", + "catalog": "default", + "schema_": "roads", + "table": "us_states", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "us_region_id", "type": "int"}, + {"name": "us_region_description", "type": "string"}, + ], + "description": "Information on US regions", + "mode": "published", + "name": "foo.bar.us_region", + "catalog": "default", + "schema_": "roads", + "table": "us_region", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Repair order dimension", + "query": """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM foo.bar.repair_orders + """, + "mode": "published", + "name": "foo.bar.repair_order", + "primary_key": ["repair_order_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Contractor dimension", + "query": """ + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country, + phone + FROM foo.bar.contractors + """, + "mode": "published", + "name": "foo.bar.contractor", + "primary_key": ["contractor_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension", + "query": """ + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM foo.bar.hard_hats + """, + "mode": "published", + "name": "foo.bar.hard_hat", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension", + "query": """ + SELECT + hh.hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id, + hhs.state_id AS state_id + FROM foo.bar.hard_hats hh + LEFT JOIN foo.bar.hard_hat_state hhs + ON hh.hard_hat_id = hhs.hard_hat_id + WHERE hh.state_id = 'NY' + """, + "mode": "published", + "name": "foo.bar.local_hard_hats", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "US state dimension", + "query": """ + SELECT + state_id, + state_name, + state_abbr, + state_region, + r.us_region_description AS state_region_description + FROM foo.bar.us_states s + LEFT JOIN foo.bar.us_region r + ON s.state_region = r.us_region_id + """, + "mode": "published", + "name": "foo.bar.us_state", + "primary_key": ["state_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Dispatcher dimension", + "query": """ + SELECT + dispatcher_id, + company_name, + phone + FROM foo.bar.dispatchers + """, + "mode": "published", + "name": "foo.bar.dispatcher", + "primary_key": ["dispatcher_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Municipality dimension", + "query": """ + SELECT + m.municipality_id AS municipality_id, + contact_name, + contact_title, + local_region, + state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM foo.bar.municipality AS m + LEFT JOIN foo.bar.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN foo.bar.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc + """, + "mode": "published", + "name": "foo.bar.municipality_dim", + "primary_key": ["municipality_id"], + }, + ), + ( + "/nodes/metric/", + { + "description": "Number of repair orders", + "query": ("SELECT count(repair_order_id) FROM foo.bar.repair_orders"), + "mode": "published", + "name": "foo.bar.num_repair_orders", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average repair price", + "query": "SELECT avg(price) FROM foo.bar.repair_order_details", + "mode": "published", + "name": "foo.bar.avg_repair_price", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair cost", + "query": "SELECT sum(price) FROM foo.bar.repair_order_details", + "mode": "published", + "name": "foo.bar.total_repair_cost", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average length of employment", + "query": ("SELECT avg(NOW() - hire_date) FROM foo.bar.hard_hats"), + "mode": "published", + "name": "foo.bar.avg_length_of_employment", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair order discounts", + "query": ("SELECT sum(price * discount) FROM foo.bar.repair_order_details"), + "mode": "published", + "name": "foo.bar.total_repair_order_discounts", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair order discounts", + "query": ("SELECT avg(price * discount) FROM foo.bar.repair_order_details"), + "mode": "published", + "name": "foo.bar.avg_repair_order_discounts", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average time to dispatch a repair order", + "query": ( + "SELECT avg(dispatched_date - order_date) FROM foo.bar.repair_orders" + ), + "mode": "published", + "name": "foo.bar.avg_time_to_dispatch", + }, + ), + ( + ( + "/nodes/foo.bar.repair_order_details/columns/repair_order_id/" + "?dimension=foo.bar.repair_order&dimension_column=repair_order_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_orders/columns/municipality_id/" + "?dimension=foo.bar.municipality_dim&dimension_column=municipality_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_type/columns/contractor_id/" + "?dimension=foo.bar.contractor&dimension_column=contractor_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_orders/columns/hard_hat_id/" + "?dimension=foo.bar.hard_hat&dimension_column=hard_hat_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_orders/columns/dispatcher_id/" + "?dimension=foo.bar.dispatcher&dimension_column=dispatcher_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_order_details/columns/repair_order_id/" + "?dimension=foo.bar.repair_order&dimension_column=repair_order_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_order/columns/dispatcher_id/" + "?dimension=foo.bar.dispatcher&dimension_column=dispatcher_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_order/columns/hard_hat_id/" + "?dimension=foo.bar.hard_hat&dimension_column=hard_hat_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_order/columns/municipality_id/" + "?dimension=foo.bar.municipality_dim&dimension_column=municipality_id" + ), + {}, + ), + ( + "/nodes/cube/", + { + "description": "Cube #1 for metrics and dimensions.", + "mode": "published", + "name": "foo.bar.cube_one", + "metrics": ["foo.bar.num_repair_orders"], + "dimensions": ["foo.bar.municipality_dim.local_region"], + }, + ), + ( + "/nodes/cube/", + { + "description": "Cube #2 for metrics and dimensions.", + "mode": "published", + "name": "default.cube_two", + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.municipality_dim.local_region"], + }, + ), + ( + "/nodes/transform/", + { + "description": "3 columns from default.repair_orders", + "query": ( + "SELECT repair_order_id, municipality_id, hard_hat_id " + "FROM default.repair_orders" + ), + "mode": "published", + "name": "default.repair_orders_thin", + }, + ), + ( + "/nodes/transform/", + { + "description": "3 columns from foo.bar.repair_orders", + "query": ( + "SELECT repair_order_id, municipality_id, hard_hat_id " + "FROM foo.bar.repair_orders" + ), + "mode": "published", + "name": "foo.bar.repair_orders_thin", + }, + ), + ( + "/nodes/transform/", + { + "description": "node with custom metadata", + "query": ( + "SELECT repair_order_id, municipality_id, hard_hat_id " + "FROM foo.bar.repair_orders" + ), + "mode": "published", + "name": "foo.bar.with_custom_metadata", + "custom_metadata": {"foo": "bar"}, + }, + ), +) + +COLUMN_MAPPINGS = { + "default.roads.repair_orders": [ + Column(name="id", type=IntegerType()), + Column(name="user_id", type=IntegerType()), + Column(name="timestamp", type=TimestampType()), + Column(name="text", type=StringType()), + ], + "default.store.comments": [ + Column(name="id", type=IntegerType()), + Column(name="user_id", type=IntegerType()), + Column(name="timestamp", type=TimestampType()), + Column(name="text", type=StringType()), + ], + "default.store.comments_view": [ + Column(name="id", type=IntegerType()), + Column(name="user_id", type=IntegerType()), + Column(name="timestamp", type=TimestampType()), + Column(name="text", type=StringType()), + ], +} + +QUERY_DATA_MAPPINGS: Dict[str, Union[DJException, QueryWithResults]] = { + "WITHdefault_DOT_repair_order_detailsAS(SELECTdefault_DOT_repair_order_details." + "repair_order_id,\tdefault_DOT_repair_order_details.repair_type_id,\tdefault_DOT" + "_repair_order_details.price,\tdefault_DOT_repair_order_details.quantity,\tdefault" + "_DOT_repair_order_details.discountFROMroads.repair_order_detailsASdefault_DOT_" + "repair_order_details),default_DOT_repair_orderAS(SELECTdefault_DOT_repair_orders" + ".repair_order_id,\tdefault_DOT_repair_orders.municipality_id,\tdefault_DOT_repair" + "_orders.hard_hat_id,\tdefault_DOT_repair_orders.order_date,\tdefault_DOT_repair_" + "orders.required_date,\tdefault_DOT_repair_orders.dispatched_date,\tdefault_DOT_" + "repair_orders.dispatcher_idFROMroads.repair_ordersASdefault_DOT_repair_orders)," + "default_DOT_hard_hatAS(SELECTdefault_DOT_hard_hats.hard_hat_id,\tdefault_DOT_hard" + "_hats.last_name,\tdefault_DOT_hard_hats.first_name,\tdefault_DOT_hard_hats.title," + "\tdefault_DOT_hard_hats.birth_date,\tdefault_DOT_hard_hats.hire_date,\tdefault_" + "DOT_hard_hats.address,\tdefault_DOT_hard_hats.city,\tdefault_DOT_hard_hats.state," + "\tdefault_DOT_hard_hats.postal_code,\tdefault_DOT_hard_hats.country,\tdefault_DOT" + "_hard_hats.manager,\tdefault_DOT_hard_hats.contractor_idFROMroads.hard_hatsASdefault" + "_DOT_hard_hats),default_DOT_repair_order_details_metricsAS(SELECTdefault_DOT_hard_" + "hat.citydefault_DOT_hard_hat_DOT_city,\tavg(default_DOT_repair_order_details.price)" + "ASdefault_DOT_avg_repair_priceFROMdefault_DOT_repair_order_detailsLEFTJOINdefault_" + "DOT_repair_orderONdefault_DOT_repair_order_details.repair_order_id=default_DOT_" + "repair_order.repair_order_idLEFTJOINdefault_DOT_hard_hatONdefault_DOT_repair_order" + ".hard_hat_id=default_DOT_hard_hat.hard_hat_idGROUPBYdefault_DOT_hard_hat.city)" + "SELECTdefault_DOT_repair_order_details_metrics.default_DOT_hard_hat_DOT_city,\t" + "default_DOT_repair_order_details_metrics.default_DOT_avg_repair_priceFROMdefault" + "_DOT_repair_order_details_metrics" + "": QueryWithResults( + **{ + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "submitted_query": "...", + "state": QueryState.FINISHED, + "results": [ + { + "columns": [ + {"name": "default_DOT_hard_hat_DOT_city", "type": "str"}, + {"name": "default_DOT_avg_repair_price", "type": "float"}, + ], + "rows": [ + ("Foo", 1.0), + ("Bar", 2.0), + ], + "sql": "", + }, + ], + "errors": [], + }, + ), + "WITHdefault_DOT_repair_order_detailsAS(SELECTdefault_DOT_repair_order_details." + "repair_order_id,\tdefault_DOT_repair_order_details.repair_type_id,\tdefault_DOT_repair_order" + "_details.price,\tdefault_DOT_repair_order_details.quantity,\tdefault_DOT_repair_order_details" + ".discountFROMroads.repair_order_detailsASdefault_DOT_repair_order_details),default_DOT_repair" + "_orderAS(SELECTdefault_DOT_repair_orders.repair_order_id,\tdefault_DOT_repair_orders.municipa" + "lity_id,\tdefault_DOT_repair_orders.hard_hat_id,\tdefault_DOT_repair_orders.order_date,\tdef" + "ault_DOT_repair_orders.required_date,\tdefault_DOT_repair_orders.dispatched_date,\tdefault_" + "DOT_repair_orders.dispatcher_idFROMroads.repair_ordersASdefault_DOT_repair_orders),default_" + "DOT_hard_hatAS(SELECTdefault_DOT_hard_hats.hard_hat_id,\tdefault_DOT_hard_hats.last_name,\t" + "default_DOT_hard_hats.first_name,\tdefault_DOT_hard_hats.title,\tdefault_DOT_hard_hats.birth" + "_date,\tdefault_DOT_hard_hats.hire_date,\tdefault_DOT_hard_hats.address,\tdefault_DOT_hard_" + "hats.city,\tdefault_DOT_hard_hats.state,\tdefault_DOT_hard_hats.postal_code,\tdefault_DOT_" + "hard_hats.country,\tdefault_DOT_hard_hats.manager,\tdefault_DOT_hard_hats.contractor_idFROM" + "roads.hard_hatsASdefault_DOT_hard_hats),default_DOT_repair_order_details_metricsAS(SELECT" + "default_DOT_hard_hat.statedefault_DOT_hard_hat_DOT_state,\tavg(default_DOT_repair_order_" + "details.price)ASdefault_DOT_avg_repair_priceFROMdefault_DOT_repair_order_detailsLEFTJOIN" + "default_DOT_repair_orderONdefault_DOT_repair_order_details.repair_order_id=default_DOT_" + "repair_order.repair_order_idLEFTJOINdefault_DOT_hard_hatONdefault_DOT_repair_order.hard" + "_hat_id=default_DOT_hard_hat.hard_hat_idGROUPBYdefault_DOT_hard_hat.state)SELECTdefault_" + "DOT_repair_order_details_metrics.default_DOT_hard_hat_DOT_state,\tdefault_DOT_repair_order" + "_details_metrics.default_DOT_avg_repair_priceFROMdefault_DOT_repair_order_details_metrics": ( + QueryWithResults( + **{ + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "submitted_query": "...", + "state": QueryState.FINISHED, + "results": [], + "errors": [], + }, + ) + ), + "WITHdefault_DOT_repair_order_detailsAS(SELECTdefault_DOT_hard_hat.postal_codedefault_" + "DOT_hard_hat_DOT_postal_code,\tavg(default_DOT_repair_order_details.price)ASdefault_" + "DOT_avg_repair_priceFROMroads.repair_order_detailsASdefault_DOT_repair_order_details" + "LEFTJOIN(SELECTdefault_DOT_repair_orders.repair_order_id,\tdefault_DOT_repair_" + "orders.municipality_id,\tdefault_DOT_repair_orders.hard_hat_id,\tdefault_DOT_repair_" + "orders.dispatcher_idFROMroads.repair_ordersASdefault_DOT_repair_orders)ASdefault_DOT_" + "repair_orderONdefault_DOT_repair_order_details.repair_order_id=default_DOT_repair_order" + ".repair_order_idLEFTJOIN(SELECTdefault_DOT_hard_hats.hard_hat_id,\tdefault_DOT_hard" + "_hats.state,\tdefault_DOT_hard_hats.postal_codeFROMroads.hard_hatsASdefault_DOT_hard_hats" + ")ASdefault_DOT_hard_hatONdefault_DOT_repair_order.hard_hat_id=default_DOT_hard_hat.hard_" + "hat_idGROUPBYdefault_DOT_hard_hat.postal_code)SELECTdefault_DOT_repair_order_details." + "default_DOT_avg_repair_price,\tdefault_DOT_repair_order_details.default_DOT_hard_hat_DOT" + "_postal_codeFROMdefault_DOT_repair_order_details": ( + DJQueryServiceClientException("Error response from query service") + ), + "WITHdefault_DOT_repair_order_detailsAS(SELECTdefault_DOT_repair_order_details.repair_" + "order_id,\tdefault_DOT_repair_order_details.repair_type_id,\tdefault_DOT_repair_order_" + "details.price,\tdefault_DOT_repair_order_details.quantity,\tdefault_DOT_repair_order_" + "details.discountFROMroads.repair_order_detailsASdefault_DOT_repair_order_details)," + "default_DOT_repair_orderAS(SELECTdefault_DOT_repair_orders.repair_order_id,\tdefault" + "_DOT_repair_orders.municipality_id,\tdefault_DOT_repair_orders.hard_hat_id,\tdefault" + "_DOT_repair_orders.order_date,\tdefault_DOT_repair_orders.required_date,\tdefault_DOT" + "_repair_orders.dispatched_date,\tdefault_DOT_repair_orders.dispatcher_idFROMroads.repair" + "_ordersASdefault_DOT_repair_orders),default_DOT_hard_hatAS(SELECTdefault_DOT_hard_hats." + "hard_hat_id,\tdefault_DOT_hard_hats.last_name,\tdefault_DOT_hard_hats.first_name,\t" + "default_DOT_hard_hats.title,\tdefault_DOT_hard_hats.birth_date,\tdefault_DOT_hard_hats" + ".hire_date,\tdefault_DOT_hard_hats.address,\tdefault_DOT_hard_hats.city,\tdefault_DOT_" + "hard_hats.state,\tdefault_DOT_hard_hats.postal_code,\tdefault_DOT_hard_hats.country,\t" + "default_DOT_hard_hats.manager,\tdefault_DOT_hard_hats.contractor_idFROMroads.hard_hats" + "ASdefault_DOT_hard_hats)SELECTdefault_DOT_hard_hat.citydefault_DOT_hard_hat_DOT_city," + "\tavg(default_DOT_repair_order_details.price)ASdefault_DOT_avg_repair_priceFROMdefault" + "_DOT_repair_order_detailsLEFTJOINdefault_DOT_repair_orderONdefault_DOT_repair_order_" + "details.repair_order_id=default_DOT_repair_order.repair_order_idLEFTJOINdefault_DOT_" + "hard_hatONdefault_DOT_repair_order.hard_hat_id=default_DOT_hard_hat.hard_hat_idGROUP" + "BYdefault_DOT_hard_hat.city'": QueryWithResults( + **{ + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "submitted_query": "...", + "state": QueryState.FINISHED, + "results": [ + { + "columns": [ + {"name": "default_DOT_avg_repair_price", "type": "float"}, + {"name": "default_DOT_hard_hat_DOT_city", "type": "str"}, + ], + "rows": [ + (1.0, "Foo"), + (2.0, "Bar"), + ], + "sql": "", + }, + ], + "errors": [], + }, + ), + "WITHdefault_DOT_repair_order_detailsAS(SELECTdefault_DOT_repair_order_details." + "repair_order_id,\tdefault_DOT_repair_order_details.repair_type_id,\tdefault_DOT" + "_repair_order_details.price,\tdefault_DOT_repair_order_details.quantity,\tdefault" + "_DOT_repair_order_details.discountFROMroads.repair_order_detailsASdefault_DOT_repair" + "_order_details),default_DOT_repair_orderAS(SELECTdefault_DOT_repair_orders.repair_" + "order_id,\tdefault_DOT_repair_orders.municipality_id,\tdefault_DOT_repair_orders.hard" + "_hat_id,\tdefault_DOT_repair_orders.order_date,\tdefault_DOT_repair_orders.required" + "_date,\tdefault_DOT_repair_orders.dispatched_date,\tdefault_DOT_repair_orders.dispatcher" + "_idFROMroads.repair_ordersASdefault_DOT_repair_orders),default_DOT_hard_hatAS(SELECT" + "default_DOT_hard_hats.hard_hat_id,\tdefault_DOT_hard_hats.last_name,\tdefault_DOT_" + "hard_hats.first_name,\tdefault_DOT_hard_hats.title,\tdefault_DOT_hard_hats.birth_date" + ",\tdefault_DOT_hard_hats.hire_date,\tdefault_DOT_hard_hats.address,\tdefault_DOT_hard" + "_hats.city,\tdefault_DOT_hard_hats.state,\tdefault_DOT_hard_hats.postal_code,\tdefault" + "_DOT_hard_hats.country,\tdefault_DOT_hard_hats.manager,\tdefault_DOT_hard_hats." + "contractor_idFROMroads.hard_hatsASdefault_DOT_hard_hats)SELECTdefault_DOT_hard_hat" + ".citydefault_DOT_hard_hat_DOT_city,\tavg(default_DOT_repair_order_details.price)AS" + "default_DOT_avg_repair_priceFROMdefault_DOT_repair_order_detailsLEFTJOINdefault_DOT" + "_repair_orderONdefault_DOT_repair_order_details.repair_order_id=default_DOT_repair_" + "order.repair_order_idLEFTJOINdefault_DOT_hard_hatONdefault_DOT_repair_order.hard_hat" + "_id=default_DOT_hard_hat.hard_hat_idGROUPBYdefault_DOT_hard_hat.city": QueryWithResults( + **{ + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "submitted_query": "...", + "state": QueryState.FINISHED, + "results": [ + { + "columns": [ + {"name": "default_DOT_hard_hat_DOT_city", "type": "str"}, + {"name": "default_DOT_avg_repair_price", "type": "float"}, + ], + "rows": [ + ("Foo", 1.0), + ("Bar", 2.0), + ], + "sql": "", + }, + ], + "errors": [], + }, + ), + "SELECTavg(default_DOT_repair_order_details.price)ASdefault_DOT_avg_repair_price,\tdefault" + "_DOT_hard_hat.citydefault_DOT_hard_hat_DOT_cityFROMroads.repair_order_detailsASdefault_" + "DOT_repair_order_detailsLEFTJOIN(SELECTdefault_DOT_repair_orders.repair_order_id,\tdefault_" + "DOT_repair_orders.municipality_id,\tdefault_DOT_repair_orders.hard_hat_id,\tdefault_DOT_" + "repair_orders.dispatcher_idFROMroads.repair_ordersASdefault_DOT_repair_orders)ASdefault_" + "DOT_repair_orderONdefault_DOT_repair_order_details.repair_order_id=default_DOT_repair_order" + ".repair_order_idLEFTJOIN(SELECTdefault_DOT_hard_hats.hard_hat_id,\tdefault_DOT_hard_hats." + "city,\tdefault_DOT_hard_hats.stateFROMroads.hard_hatsASdefault_DOT_hard_hats)ASdefault_DOT_" + "hard_hatONdefault_DOT_repair_order.hard_hat_id=default_DOT_hard_hat.hard_hat_idGROUPBY" + "default_DOT_hard_hat.city": QueryWithResults( + **{ + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "submitted_query": "...", + "state": QueryState.FINISHED, + "results": [ + { + "columns": [ + {"name": "default_DOT_avg_repair_price", "type": "float"}, + {"name": "default_DOT_hard_hat_DOT_city", "type": "str"}, + ], + "rows": [ + (1.0, "Foo"), + (2.0, "Bar"), + ], + "sql": "", + }, + ], + "errors": [], + }, + ), + # v3 API query for avg_repair_price with city dimension + "WITHdefault_hard_hatAS(SELECThard_hat_id,\tcityFROMdefault.roads.hard_hats)," + "default_repair_orderAS(SELECTrepair_order_idFROMdefault.repair_orders)," + "repair_order_details_0AS(SELECTt3.city,\tCOUNT(t1.price)price_count_252381cf," + "\tSUM(t1.price)price_sum_252381cfFROMdefault.roads.repair_order_detailst1" + "LEFTOUTERJOINdefault_repair_ordert2ONt1.repair_order_id=t2.repair_order_id" + "LEFTOUTERJOINdefault_hard_hatt3ONt2.hard_hat_id=t3.hard_hat_idGROUPBYt3.city)" + "SELECTCOALESCE(repair_order_details_0.city)AScity,\tSUM(repair_order_details_0." + "price_sum_252381cf)/SUM(repair_order_details_0.price_count_252381cf)AS" + "avg_repair_priceFROMrepair_order_details_0GROUPBYrepair_order_details_0.city": QueryWithResults( + id="v3-avg-repair-price-city", + submitted_query="...", + state=QueryState.FINISHED, + results=[ + StatementResults( + sql="", + columns=[ + ColumnMetadata( + name="city", + type="str", + semantic_entity="default.hard_hat.city", + semantic_type="dimension", + ), + ColumnMetadata( + name="avg_repair_price", + type="float", + semantic_type="metric", + node="default.avg_repair_price", + ), + ], + rows=[ + ("Foo", 1.0), + ("Bar", 2.0), + ], + ), + ], + errors=[], + ), + # v3 API query for avg_repair_price with state dimension (no data test) + "WITHdefault_hard_hatAS(SELECThard_hat_id,\tstateFROMdefault.roads.hard_hats)," + "default_repair_orderAS(SELECTrepair_order_idFROMdefault.repair_orders)," + "repair_order_details_0AS(SELECTt3.state,\tCOUNT(t1.price)price_count_252381cf," + "\tSUM(t1.price)price_sum_252381cfFROMdefault.roads.repair_order_detailst1" + "LEFTOUTERJOINdefault_repair_ordert2ONt1.repair_order_id=t2.repair_order_id" + "LEFTOUTERJOINdefault_hard_hatt3ONt2.hard_hat_id=t3.hard_hat_idGROUPBYt3.state)" + "SELECTCOALESCE(repair_order_details_0.state)ASstate,\tSUM(repair_order_details_0." + "price_sum_252381cf)/SUM(repair_order_details_0.price_count_252381cf)AS" + "avg_repair_priceFROMrepair_order_details_0GROUPBYrepair_order_details_0.state": QueryWithResults( + id="v3-avg-repair-price-state-no-data", + submitted_query="...", + state=QueryState.FINISHED, + results=[], + errors=[], + ), +} diff --git a/datajunction-clients/python/tests/examples/deploy0/dj.yaml b/datajunction-clients/python/tests/examples/deploy0/dj.yaml new file mode 100644 index 000000000..aacbde1dc --- /dev/null +++ b/datajunction-clients/python/tests/examples/deploy0/dj.yaml @@ -0,0 +1 @@ +namespace: deps.deploy0 diff --git a/datajunction-clients/python/tests/examples/deploy0/roads/companies.yaml b/datajunction-clients/python/tests/examples/deploy0/roads/companies.yaml new file mode 100644 index 000000000..adc5fe423 --- /dev/null +++ b/datajunction-clients/python/tests/examples/deploy0/roads/companies.yaml @@ -0,0 +1,9 @@ +name: ${prefix}roads.companies +node_type: source +description: Companies dimension +catalog: default +schema: roads +table: companies +columns: + - name: name + type: str diff --git a/datajunction-clients/python/tests/examples/deploy0/roads/companies_dim.yaml b/datajunction-clients/python/tests/examples/deploy0/roads/companies_dim.yaml new file mode 100644 index 000000000..332665402 --- /dev/null +++ b/datajunction-clients/python/tests/examples/deploy0/roads/companies_dim.yaml @@ -0,0 +1,9 @@ +name: ${prefix}roads.companies_dim +node_type: dimension +description: This is a source for information on companies +query: | + SELECT + name + FROM ${prefix}roads.companies +primary_key: + - name diff --git a/datajunction-clients/python/tests/examples/deploy0/roads/contractor.yaml b/datajunction-clients/python/tests/examples/deploy0/roads/contractor.yaml new file mode 100644 index 000000000..5f9bffdea --- /dev/null +++ b/datajunction-clients/python/tests/examples/deploy0/roads/contractor.yaml @@ -0,0 +1,24 @@ +name: ${prefix}roads.contractor +node_type: dimension +description: Contractor dimension +query: | + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country + FROM ${prefix}roads.contractors +primary_key: + - contractor_id +dimension_links: + - type: join + node_column: state + dimension_node: ${prefix}roads.us_state + - type: reference + node_column: company_name + dimension: ${prefix}roads.companies_dim.name diff --git a/datajunction-clients/python/tests/examples/deploy0/roads/contractors.yaml b/datajunction-clients/python/tests/examples/deploy0/roads/contractors.yaml new file mode 100644 index 000000000..cf4e5a77c --- /dev/null +++ b/datajunction-clients/python/tests/examples/deploy0/roads/contractors.yaml @@ -0,0 +1,25 @@ +name: ${prefix}roads.contractors +node_type: source +description: Information on companies contracted for repairs +catalog: default +schema: roads +table: contractors +columns: + - name: contractor_id + type: int + - name: company_name + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string diff --git a/datajunction-clients/python/tests/examples/deploy0/roads/us_state.yaml b/datajunction-clients/python/tests/examples/deploy0/roads/us_state.yaml new file mode 100644 index 000000000..f1fbd494e --- /dev/null +++ b/datajunction-clients/python/tests/examples/deploy0/roads/us_state.yaml @@ -0,0 +1,12 @@ +name: ${prefix}roads.us_state +node_type: dimension +description: US state dimension +query: | + SELECT + state_id, + state_name, + state_abbr, + state_region + FROM ${prefix}roads.us_states s +primary_key: + - state_id diff --git a/datajunction-clients/python/tests/examples/deploy0/roads/us_states.yaml b/datajunction-clients/python/tests/examples/deploy0/roads/us_states.yaml new file mode 100644 index 000000000..5010c6497 --- /dev/null +++ b/datajunction-clients/python/tests/examples/deploy0/roads/us_states.yaml @@ -0,0 +1,15 @@ +name: ${prefix}roads.us_states +node_type: source +description: US state data +catalog: default +schema: roads +table: us_states +columns: + - name: state_id + type: int + - name: state_name + type: string + - name: state_abbr + type: string + - name: state_region + type: int diff --git a/datajunction-clients/python/tests/examples/project1/dj.yaml b/datajunction-clients/python/tests/examples/project1/dj.yaml new file mode 100644 index 000000000..5536f1146 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/dj.yaml @@ -0,0 +1,27 @@ +name: My DJ Project 1 +description: The description of my DJ project 1 +prefix: projects.project1 +mode: published +tags: + - name: deprecated + description: This node is deprecated + tag_type: Maintenance + - name: tag_in_project + description: tag in project + tag_type: Maintenance +build: + priority: + - roads.date + - roads.date_dim + - roads.repair_orders + - roads.repair_order_transform + - roads.repair_order_details + - roads.contractors + - roads.hard_hats + - roads.hard_hat_state + - roads.us_states + - roads.us_region + - roads.dispatchers + - roads.municipality + - roads.municipality_municipality_type + - roads.municipality_type diff --git a/datajunction-clients/python/tests/examples/project1/roads/avg_length_of_employment.metric.yaml b/datajunction-clients/python/tests/examples/project1/roads/avg_length_of_employment.metric.yaml new file mode 100644 index 000000000..eb1aa572d --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/avg_length_of_employment.metric.yaml @@ -0,0 +1,10 @@ +description: Average length of employment +query: SELECT avg(NOW() - hire_date) FROM ${prefix}roads.hard_hats +display_name: Avg Length of Employment +tags: + - tag_in_project + - system-tag +direction: higher_is_better +unit: second +required_dimensions: + - hard_hat_id diff --git a/datajunction-clients/python/tests/examples/project1/roads/avg_repair_price.metric.yaml b/datajunction-clients/python/tests/examples/project1/roads/avg_repair_price.metric.yaml new file mode 100644 index 000000000..0bc04663f --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/avg_repair_price.metric.yaml @@ -0,0 +1,5 @@ +description: Average repair price +query: SELECT avg(price) FROM ${prefix}roads.repair_order_details +display_name: Avg Repair Price +direction: higher_is_better +unit: dollar diff --git a/datajunction-clients/python/tests/examples/project1/roads/avg_time_to_dispatch.metric.yaml b/datajunction-clients/python/tests/examples/project1/roads/avg_time_to_dispatch.metric.yaml new file mode 100644 index 000000000..0ca91ad90 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/avg_time_to_dispatch.metric.yaml @@ -0,0 +1,3 @@ +description: Average time to dispatch a repair order +query: SELECT avg(dispatched_date - order_date) FROM ${prefix}roads.repair_orders +display_name: Avg Time to Dispatch Repair Order diff --git a/datajunction-clients/python/tests/examples/project1/roads/contractor.dimension.yaml b/datajunction-clients/python/tests/examples/project1/roads/contractor.dimension.yaml new file mode 100644 index 000000000..18a1c572e --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/contractor.dimension.yaml @@ -0,0 +1,19 @@ +description: Contractor dimension +query: | + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country + FROM ${prefix}roads.contractors +primary_key: + - contractor_id +display_name: Contractor +columns: +- name: company_name + display_name: Contractor Company Name diff --git a/datajunction-clients/python/tests/examples/project1/roads/contractors.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/contractors.source.yaml new file mode 100644 index 000000000..7819b57b4 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/contractors.source.yaml @@ -0,0 +1,22 @@ +description: Information on companies contracted for repairs +table: default.roads.contractors +columns: + - name: contractor_id + type: int + - name: company_name + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string +display_name: default.roads.contractors diff --git a/datajunction-clients/python/tests/examples/project1/roads/date.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/date.source.yaml new file mode 100644 index 000000000..43e14c93e --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/date.source.yaml @@ -0,0 +1,12 @@ +description: Date dimension +table: default.roads.date +columns: + - name: dateint + type: timestamp + - name: year + type: int + - name: month + type: int + - name: day + type: int +display_name: default.roads.date diff --git a/datajunction-clients/python/tests/examples/project1/roads/date_dim.dimension.yaml b/datajunction-clients/python/tests/examples/project1/roads/date_dim.dimension.yaml new file mode 100644 index 000000000..f3981a3fe --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/date_dim.dimension.yaml @@ -0,0 +1,11 @@ +description: This is a source for information on outstanding and fulfilled repair orders +query: | + SELECT + dateint, + month, + year, + day + FROM ${prefix}roads.date +primary_key: + - dateint +display_name: Date diff --git a/datajunction-clients/python/tests/examples/project1/roads/dispatcher.dimension.yaml b/datajunction-clients/python/tests/examples/project1/roads/dispatcher.dimension.yaml new file mode 100644 index 000000000..c2ef25d08 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/dispatcher.dimension.yaml @@ -0,0 +1,10 @@ +description: Dispatcher dimension +query: | + SELECT + dispatcher_id, + company_name, + phone + FROM ${prefix}roads.dispatchers +primary_key: + - dispatcher_id +display_name: Dispatcher diff --git a/datajunction-clients/python/tests/examples/project1/roads/dispatchers.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/dispatchers.source.yaml new file mode 100644 index 000000000..1ae5eea10 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/dispatchers.source.yaml @@ -0,0 +1,10 @@ +description: Dispatcher information +table: default.roads.dispatchers +columns: + - name: dispatcher_id + type: int + - name: company_name + type: string + - name: phone + type: string +display_name: default.roads.dispatchers diff --git a/datajunction-clients/python/tests/examples/project1/roads/hard_hat.dimension.yaml b/datajunction-clients/python/tests/examples/project1/roads/hard_hat.dimension.yaml new file mode 100644 index 000000000..0b3517cf8 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/hard_hat.dimension.yaml @@ -0,0 +1,35 @@ +description: Hard hat dimension +query: | + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM ${prefix}roads.hard_hats +primary_key: + - hard_hat_id +dimension_links: + - type: join + node_column: state + dimension_node: ${prefix}roads.us_state + join_on: ${prefix}roads.us_state.state_abbr = ${prefix}roads.hard_hat.state + - type: join + node_column: birth_date + dimension_node: ${prefix}roads.date_dim + join_on: ${prefix}roads.date_dim.dateint = ${prefix}roads.hard_hat.birth_date + role: birth_date + - type: join + node_column: hire_date + dimension_node: ${prefix}roads.date_dim + join_on: ${prefix}roads.date_dim.dateint = ${prefix}roads.hard_hat.hire_date + role: hire_date +display_name: Hard Hat diff --git a/datajunction-clients/python/tests/examples/project1/roads/hard_hat_state.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/hard_hat_state.source.yaml new file mode 100644 index 000000000..c5da3fd69 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/hard_hat_state.source.yaml @@ -0,0 +1,8 @@ +description: State locale lookup table for employees +table: default.roads.hard_hat_state +columns: + - name: hard_hat_id + type: int + - name: state_id + type: string +display_name: default.roads.hard_hat_state diff --git a/datajunction-clients/python/tests/examples/project1/roads/hard_hats.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/hard_hats.source.yaml new file mode 100644 index 000000000..a0e0a61de --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/hard_hats.source.yaml @@ -0,0 +1,30 @@ +description: Internal employees table +table: default.roads.hard_hats +columns: + - name: hard_hat_id + type: int + - name: last_name + type: string + - name: first_name + type: string + - name: title + type: string + - name: birth_date + type: date + - name: hire_date + type: date + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string + - name: manager + type: int + - name: contractor_id + type: int +display_name: default.roads.hard_hats diff --git a/datajunction-clients/python/tests/examples/project1/roads/local_hard_hats.dimension.yaml b/datajunction-clients/python/tests/examples/project1/roads/local_hard_hats.dimension.yaml new file mode 100644 index 000000000..8ec8239cb --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/local_hard_hats.dimension.yaml @@ -0,0 +1,36 @@ +description: Hard hat dimension +query: | + SELECT + hh.hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id, + hhs.state_id AS state_id + FROM ${prefix}roads.hard_hats hh + LEFT JOIN ${prefix}roads.hard_hat_state hhs + ON hh.hard_hat_id = hhs.hard_hat_id + WHERE hh.state_id = 'NY' +primary_key: + - hard_hat_id +dimension_links: + - type: join + node_column: state_id + dimension_node: ${prefix}roads.us_state + - type: reference + node_column: birth_date + dimension: ${prefix}roads.date_dim.dateint + role: birth_date + - type: reference + node_column: hire_date + dimension: ${prefix}roads.date_dim.dateint + role: hire_date +display_name: Local Hard Hats diff --git a/datajunction-clients/python/tests/examples/project1/roads/municipality.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/municipality.source.yaml new file mode 100644 index 000000000..264539b0d --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/municipality.source.yaml @@ -0,0 +1,16 @@ +description: Municipality data +table: default.roads.municipality +columns: + - name: municipality_id + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: local_region + type: string + - name: phone + type: string + - name: state_id + type: int +display_name: default.roads.municipality diff --git a/datajunction-clients/python/tests/examples/project1/roads/municipality_dim.dimension.yaml b/datajunction-clients/python/tests/examples/project1/roads/municipality_dim.dimension.yaml new file mode 100644 index 000000000..0af94ec55 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/municipality_dim.dimension.yaml @@ -0,0 +1,18 @@ +description: Municipality dimension +query: | + SELECT + m.municipality_id AS municipality_id, + contact_name, + contact_title, + local_region, + state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM ${prefix}roads.municipality AS m + LEFT JOIN ${prefix}roads.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN ${prefix}roads.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc +primary_key: + - municipality_id +display_name: Municipality diff --git a/datajunction-clients/python/tests/examples/project1/roads/municipality_municipality_type.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/municipality_municipality_type.source.yaml new file mode 100644 index 000000000..9b6e7902a --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/municipality_municipality_type.source.yaml @@ -0,0 +1,8 @@ +description: Municipality information +table: default.roads.municipality_municipality_type +columns: + - name: municipality_id + type: string + - name: municipality_type_id + type: string +display_name: default.roads.municipality_municipality_type diff --git a/datajunction-clients/python/tests/examples/project1/roads/municipality_type.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/municipality_type.source.yaml new file mode 100644 index 000000000..e0df1a418 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/municipality_type.source.yaml @@ -0,0 +1,8 @@ +description: Descriptions for different types of municipalities +table: default.roads.municipality_type +columns: + - name: municipality_type_id + type: string + - name: municipality_type_desc + type: string +display_name: default.roads.municipality_type diff --git a/datajunction-clients/python/tests/examples/project1/roads/national_level_agg.transform.yaml b/datajunction-clients/python/tests/examples/project1/roads/national_level_agg.transform.yaml new file mode 100644 index 000000000..b774840d8 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/national_level_agg.transform.yaml @@ -0,0 +1,6 @@ +description: National level aggregates +query: SELECT SUM(rd.price * rd.quantity) AS total_amount_nationwide FROM ${prefix}roads.repair_order_details rd +display_name: National Level Aggs +custom_metadata: + level: national + sublevel: state diff --git a/datajunction-clients/python/tests/examples/project1/roads/num_repair_orders.metric.yaml b/datajunction-clients/python/tests/examples/project1/roads/num_repair_orders.metric.yaml new file mode 100644 index 000000000..acf343b0d --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/num_repair_orders.metric.yaml @@ -0,0 +1,3 @@ +description: Number of repair orders +query: SELECT count(repair_order_id) FROM ${prefix}roads.repair_orders +display_name: Num Repair Orders diff --git a/datajunction-clients/python/tests/examples/project1/roads/regional_level_agg.transform.yaml b/datajunction-clients/python/tests/examples/project1/roads/regional_level_agg.transform.yaml new file mode 100644 index 000000000..555b38ef2 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/regional_level_agg.transform.yaml @@ -0,0 +1,58 @@ +description: Regional-level aggregates +display_name: Regional-level Aggs +query: | + SELECT + usr.us_region_id, + us.state_name, + CONCAT(us.state_name, '-', usr.us_region_description) AS location_hierarchy, + EXTRACT(YEAR FROM ro.order_date) AS order_year, + EXTRACT(MONTH FROM ro.order_date) AS order_month, + EXTRACT(DAY FROM ro.order_date) AS order_day, + COUNT(DISTINCT CASE WHEN ro.dispatched_date IS NOT NULL THEN ro.repair_order_id ELSE NULL END) AS completed_repairs, + COUNT(DISTINCT ro.repair_order_id) AS total_repairs_dispatched, + SUM(rd.price * rd.quantity) AS total_amount_in_region, + AVG(rd.price * rd.quantity) AS avg_repair_amount_in_region, + -- ELEMENT_AT(ARRAY_SORT(COLLECT_LIST(STRUCT(COUNT(*) AS cnt, rt.repair_type_name AS repair_type_name)), (left, right) -> case when left.cnt < right.cnt then 1 when left.cnt > right.cnt then -1 else 0 end), 0).repair_type_name AS most_common_repair_type, + AVG(DATEDIFF(ro.dispatched_date, ro.order_date)) AS avg_dispatch_delay, + COUNT(DISTINCT c.contractor_id) AS unique_contractors + FROM + (SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM ${prefix}roads.repair_orders) ro + JOIN + ${prefix}roads.municipality m ON ro.municipality_id = m.municipality_id + JOIN + ${prefix}roads.us_states us ON m.state_id = us.state_id + AND AVG(rd.price * rd.quantity) > + (SELECT AVG(price * quantity) FROM ${prefix}roads.repair_order_details WHERE repair_order_id = ro.repair_order_id) + JOIN + ${prefix}roads.us_states us ON m.state_id = us.state_id + JOIN + ${prefix}roads.us_region usr ON us.state_region = usr.us_region_id + JOIN + ${prefix}roads.repair_order_details rd ON ro.repair_order_id = rd.repair_order_id + JOIN + ${prefix}roads.repair_type rt ON rd.repair_type_id = rt.repair_type_id + JOIN + ${prefix}roads.contractors c ON rt.contractor_id = c.contractor_id + GROUP BY + usr.us_region_id, + EXTRACT(YEAR FROM ro.order_date), + EXTRACT(MONTH FROM ro.order_date), + EXTRACT(DAY FROM ro.order_date) +dimension_links: + - type: join + node_column: state_name + dimension_node: ${prefix}roads.us_state +columns: +- name: location_hierarchy + display_name: Location (Hierarchy) + description: The hierarchy of the location + attributes: + - dimension diff --git a/datajunction-clients/python/tests/examples/project1/roads/regional_repair_efficiency.metric.yaml b/datajunction-clients/python/tests/examples/project1/roads/regional_repair_efficiency.metric.yaml new file mode 100644 index 000000000..14291c356 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/regional_repair_efficiency.metric.yaml @@ -0,0 +1,17 @@ +description: | + For each US region (as defined in the us_region table), we want to calculate: + Regional Repair Efficiency = (Number of Completed Repairs / Total Repairs Dispatched) × + (Total Repair Amount in Region / Total Repair Amount Nationwide) × 100 + Here: + A "Completed Repair" is one where the dispatched_date is not null. + "Total Repair Amount in Region" is the total amount spent on repairs in a given region. + "Total Repair Amount Nationwide" is the total amount spent on all repairs nationwide. +query: | + SELECT + (SUM(rm.completed_repairs) * 1.0 / SUM(rm.total_repairs_dispatched)) * + (SUM(rm.total_amount_in_region) * 1.0 / SUM(na.total_amount_nationwide)) * 100 + FROM + ${prefix}roads.regional_level_agg rm + CROSS JOIN + ${prefix}roads.national_level_agg na +display_name: Regional Repair Efficiency diff --git a/datajunction-clients/python/tests/examples/project1/roads/repair_order.dimension.yaml b/datajunction-clients/python/tests/examples/project1/roads/repair_order.dimension.yaml new file mode 100644 index 000000000..0708acd4b --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/repair_order.dimension.yaml @@ -0,0 +1,21 @@ +description: Repair order dimension +query: | + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + dispatcher_id + FROM ${prefix}roads.repair_order_transform +primary_key: + - repair_order_id +dimension_links: + - type: join + node_column: dispatcher_id + dimension_node: ${prefix}roads.dispatcher + - type: join + node_column: hard_hat_id + dimension_node: ${prefix}roads.hard_hat + - type: join + node_column: municipality_id + dimension_node: ${prefix}roads.municipality_dim +display_name: Repair Order Dim diff --git a/datajunction-clients/python/tests/examples/project1/roads/repair_order_details.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/repair_order_details.source.yaml new file mode 100644 index 000000000..9c20bbb91 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/repair_order_details.source.yaml @@ -0,0 +1,18 @@ +description: This is a source for details on individual repair orders +table: default.roads.repair_order_details +columns: + - name: repair_order_id + type: int + - name: repair_type_id + type: int + - name: price + type: float + - name: quantity + type: int + - name: discount + type: float +dimension_links: + - type: join + node_column: repair_order_id + dimension_node: ${prefix}roads.repair_order +display_name: default.roads.repair_order_details diff --git a/datajunction-clients/python/tests/examples/project1/roads/repair_order_transform.transform.yaml b/datajunction-clients/python/tests/examples/project1/roads/repair_order_transform.transform.yaml new file mode 100644 index 000000000..eb6abfc80 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/repair_order_transform.transform.yaml @@ -0,0 +1,10 @@ +description: Some column pruning for the repair order dimension +query: | + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + dispatcher_id + FROM ${prefix}roads.repair_orders + WHERE dispatcher_id IS NOT NULL +display_name: Repair Order Transform diff --git a/datajunction-clients/python/tests/examples/project1/roads/repair_orders.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/repair_orders.source.yaml new file mode 100644 index 000000000..812c4ab4e --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/repair_orders.source.yaml @@ -0,0 +1,22 @@ +description: This is a source for information on outstanding and fulfilled repair orders +table: default.roads.repair_orders +columns: + - name: repair_order_id + type: int + - name: municipality_id + type: string + - name: hard_hat_id + type: int + - name: order_date + type: date + - name: required_date + type: date + - name: dispatched_date + type: date + - name: dispatcher_id + type: int +dimension_links: + - type: join + node_column: repair_order_id + dimension_node: ${prefix}roads.repair_order +display_name: default.roads.repair_orders diff --git a/datajunction-clients/python/tests/examples/project1/roads/repair_orders_cube.cube.yaml b/datajunction-clients/python/tests/examples/project1/roads/repair_orders_cube.cube.yaml new file mode 100644 index 000000000..626f355f6 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/repair_orders_cube.cube.yaml @@ -0,0 +1,9 @@ +description: Repair Orders Cube +metrics: + - ${prefix}roads.num_repair_orders + - ${prefix}roads.avg_repair_price + - ${prefix}roads.total_repair_cost +dimensions: + - ${prefix}roads.hard_hat.state + - ${prefix}roads.dispatcher.company_name +filters: [] diff --git a/datajunction-clients/python/tests/examples/project1/roads/repair_type.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/repair_type.source.yaml new file mode 100644 index 000000000..8aa90ffcd --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/repair_type.source.yaml @@ -0,0 +1,14 @@ +description: Information on different types of repairs +table: default.roads.repair_type +columns: + - name: repair_type_id + type: int + - name: repair_type_name + type: string + - name: contractor_id + type: int +dimension_links: + - type: join + node_column: contractor_id + dimension_node: ${prefix}roads.contractor +display_name: default.roads.repair_type diff --git a/datajunction-clients/python/tests/examples/project1/roads/total_repair_cost.metric.yaml b/datajunction-clients/python/tests/examples/project1/roads/total_repair_cost.metric.yaml new file mode 100644 index 000000000..fbc743134 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/total_repair_cost.metric.yaml @@ -0,0 +1,3 @@ +description: Total repair cost +query: SELECT sum(price) FROM ${prefix}roads.repair_order_details +display_name: Total Repair Cost diff --git a/datajunction-clients/python/tests/examples/project1/roads/total_repair_order_discounts.metric.yaml b/datajunction-clients/python/tests/examples/project1/roads/total_repair_order_discounts.metric.yaml new file mode 100644 index 000000000..1ce6ec0aa --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/total_repair_order_discounts.metric.yaml @@ -0,0 +1,3 @@ +description: Total repair order discounts +query: SELECT sum(price * discount) FROM ${prefix}roads.repair_order_details +display_name: Total Repair Order Discounts diff --git a/datajunction-clients/python/tests/examples/project1/roads/us_region.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/us_region.source.yaml new file mode 100644 index 000000000..f8d41424f --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/us_region.source.yaml @@ -0,0 +1,8 @@ +description: US region info +table: default.roads.us_region +columns: + - name: us_region_id + type: int + - name: us_region_description + type: string +display_name: default.roads.us_region diff --git a/datajunction-clients/python/tests/examples/project1/roads/us_state.dimension.yaml b/datajunction-clients/python/tests/examples/project1/roads/us_state.dimension.yaml new file mode 100644 index 000000000..474437aaa --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/us_state.dimension.yaml @@ -0,0 +1,14 @@ +description: US state dimension +query: | + SELECT + state_id, + state_name, + state_abbr, + state_region, + r.us_region_description AS state_region_description + FROM ${prefix}roads.us_states s + LEFT JOIN ${prefix}roads.us_region r + ON s.state_region = r.us_region_description +primary_key: + - state_id +display_name: US State diff --git a/datajunction-clients/python/tests/examples/project1/roads/us_states.source.yaml b/datajunction-clients/python/tests/examples/project1/roads/us_states.source.yaml new file mode 100644 index 000000000..908cfb24d --- /dev/null +++ b/datajunction-clients/python/tests/examples/project1/roads/us_states.source.yaml @@ -0,0 +1,12 @@ +description: US state data +table: default.roads.us_states +columns: + - name: state_id + type: int + - name: state_name + type: string + - name: state_abbr + type: string + - name: state_region + type: int +display_name: default.roads.us_states diff --git a/datajunction-clients/python/tests/examples/project10/dj.yaml b/datajunction-clients/python/tests/examples/project10/dj.yaml new file mode 100644 index 000000000..ab65c99d2 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project10/dj.yaml @@ -0,0 +1,11 @@ +name: My DJ Project 10 +description: Tests that duplicate tags are handled +prefix: projects.project10 +mode: published +tags: + - name: deprecated + description: This node is deprecated + tag_type: Maintenance + - name: deprecated + description: This node is deprecated + tag_type: Maintenance diff --git a/datajunction-clients/python/tests/examples/project11/avg_length_of_employment.metric.yaml b/datajunction-clients/python/tests/examples/project11/avg_length_of_employment.metric.yaml new file mode 100644 index 000000000..a27a4ff70 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/avg_length_of_employment.metric.yaml @@ -0,0 +1,2 @@ +description: Average length of employment +query: SELECT avg(NOW() - hire_date) FROM ${prefix}roads.hard_hats diff --git a/datajunction-clients/python/tests/examples/project11/avg_repair_price.metric.yaml b/datajunction-clients/python/tests/examples/project11/avg_repair_price.metric.yaml new file mode 100644 index 000000000..25e0c85e5 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/avg_repair_price.metric.yaml @@ -0,0 +1,2 @@ +description: Average repair price +query: SELECT avg(price) FROM ${prefix}roads.repair_order_details diff --git a/datajunction-clients/python/tests/examples/project11/avg_time_to_dispatch.metric.yaml b/datajunction-clients/python/tests/examples/project11/avg_time_to_dispatch.metric.yaml new file mode 100644 index 000000000..db5b9c71f --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/avg_time_to_dispatch.metric.yaml @@ -0,0 +1,2 @@ +description: Average time to dispatch a repair order +query: SELECT avg(dispatched_date - order_date) FROM ${prefix}roads.repair_orders diff --git a/datajunction-clients/python/tests/examples/project11/contractor.dimension.yaml b/datajunction-clients/python/tests/examples/project11/contractor.dimension.yaml new file mode 100644 index 000000000..89310a894 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/contractor.dimension.yaml @@ -0,0 +1,15 @@ +description: Contractor dimension +query: | + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country + FROM ${prefix}roads.contractors +primary_key: + - contractor_id diff --git a/datajunction-clients/python/tests/examples/project11/contractors.source.yaml b/datajunction-clients/python/tests/examples/project11/contractors.source.yaml new file mode 100644 index 000000000..e0d3946d7 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/contractors.source.yaml @@ -0,0 +1,21 @@ +description: Information on companies contracted for repairs +table: default.roads.contractors +columns: + - name: contractor_id + type: int + - name: company_name + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string diff --git a/datajunction-clients/python/tests/examples/project11/date.source.yaml b/datajunction-clients/python/tests/examples/project11/date.source.yaml new file mode 100644 index 000000000..7b91b747f --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/date.source.yaml @@ -0,0 +1,11 @@ +description: Date dimension +table: default.roads.date +columns: + - name: dateint + type: timestamp + - name: year + type: int + - name: month + type: int + - name: day + type: int diff --git a/datajunction-clients/python/tests/examples/project11/date_dim.dimension.yaml b/datajunction-clients/python/tests/examples/project11/date_dim.dimension.yaml new file mode 100644 index 000000000..ea53fcca5 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/date_dim.dimension.yaml @@ -0,0 +1,10 @@ +description: This is a source for information on outstanding and fulfilled repair orders +query: | + SELECT + dateint, + month, + year, + day + FROM ${prefix}roads.date +primary_key: + - dateint diff --git a/datajunction-clients/python/tests/examples/project11/dispatcher.dimension.yaml b/datajunction-clients/python/tests/examples/project11/dispatcher.dimension.yaml new file mode 100644 index 000000000..4260c870c --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/dispatcher.dimension.yaml @@ -0,0 +1,9 @@ +description: Dispatcher dimension +query: | + SELECT + dispatcher_id, + company_name, + phone + FROM ${prefix}roads.dispatchers +primary_key: + - dispatcher_id diff --git a/datajunction-clients/python/tests/examples/project11/dispatchers.source.yaml b/datajunction-clients/python/tests/examples/project11/dispatchers.source.yaml new file mode 100644 index 000000000..650e5ab52 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/dispatchers.source.yaml @@ -0,0 +1,9 @@ +description: Dispatcher information +table: default.roads.dispatchers +columns: + - name: dispatcher_id + type: int + - name: company_name + type: string + - name: phone + type: string diff --git a/datajunction-clients/python/tests/examples/project11/dj.yaml b/datajunction-clients/python/tests/examples/project11/dj.yaml new file mode 100644 index 000000000..0c95a4f04 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/dj.yaml @@ -0,0 +1,23 @@ +name: My DJ Project 11 +prefix: projects.project11 +mode: published +tags: + - name: deprecated + description: This node is deprecated + tag_type: Maintenance +build: + priority: + - roads.date + - roads.date_dim + - roads.repair_orders + - roads.repair_order_transform + - roads.repair_order_details + - roads.contractors + - roads.hard_hats + - roads.hard_hat_state + - roads.us_states + - roads.us_region + - roads.dispatchers + - roads.municipality + - roads.municipality_municipality_type + - roads.municipality_type diff --git a/datajunction-clients/python/tests/examples/project11/hard_hat.dimension.yaml b/datajunction-clients/python/tests/examples/project11/hard_hat.dimension.yaml new file mode 100644 index 000000000..af49a27f2 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/hard_hat.dimension.yaml @@ -0,0 +1,32 @@ +description: Hard hat dimension +query: | + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM ${prefix}roads.hard_hats +primary_key: + - hard_hat_id +dimension_links: + - type: join + node_column: state + dimension_node: ${prefix}roads.us_state + join_on: ${prefix}roads.us_state.state_abbr = ${prefix}roads.hard_hat.state + - type: join + node_column: birth_date + dimension_node: ${prefix}roads.date_dim + join_on: ${prefix}roads.date_dim.dateint = ${prefix}roads.hard_hat.birth_date + - type: join + node_column: hire_date + dimension_node: ${prefix}roads.date_dim + join_on: ${prefix}roads.date_dim.dateint = ${prefix}roads.hard_hat.hire_date diff --git a/datajunction-clients/python/tests/examples/project11/hard_hat_state.source.yaml b/datajunction-clients/python/tests/examples/project11/hard_hat_state.source.yaml new file mode 100644 index 000000000..438f4e9a8 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/hard_hat_state.source.yaml @@ -0,0 +1,7 @@ +description: State locale lookup table for employees +table: default.roads.hard_hat_state +columns: + - name: hard_hat_id + type: int + - name: state_id + type: string diff --git a/datajunction-clients/python/tests/examples/project11/hard_hats.source.yaml b/datajunction-clients/python/tests/examples/project11/hard_hats.source.yaml new file mode 100644 index 000000000..04dfe4b21 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/hard_hats.source.yaml @@ -0,0 +1,29 @@ +description: Internal employees table +table: default.roads.hard_hats +columns: + - name: hard_hat_id + type: int + - name: last_name + type: string + - name: first_name + type: string + - name: title + type: string + - name: birth_date + type: date + - name: hire_date + type: date + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string + - name: manager + type: int + - name: contractor_id + type: int diff --git a/datajunction-clients/python/tests/examples/project11/local_hard_hats.dimension.yaml b/datajunction-clients/python/tests/examples/project11/local_hard_hats.dimension.yaml new file mode 100644 index 000000000..217443c32 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/local_hard_hats.dimension.yaml @@ -0,0 +1,28 @@ +description: Hard hat dimension +query: | + SELECT + hh.hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id, + hhs.state_id AS state_id + FROM ${prefix}roads.hard_hats hh + LEFT JOIN ${prefix}roads.hard_hat_state hhs + ON hh.hard_hat_id = hhs.hard_hat_id + WHERE hh.state_id = 'NY' +primary_key: + - hard_hat_id +dimension_links: + - type: join + node_column: state_id + dimension_node: ${prefix}roads.us_state + join_on: ${prefix}roads.us_state.state_abbr = ${prefix}roads.hard_hat.state_id diff --git a/datajunction-clients/python/tests/examples/project11/municipality.source.yaml b/datajunction-clients/python/tests/examples/project11/municipality.source.yaml new file mode 100644 index 000000000..a5d2b6f34 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/municipality.source.yaml @@ -0,0 +1,15 @@ +description: Municipality data +table: default.roads.municipality +columns: + - name: municipality_id + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: local_region + type: string + - name: phone + type: string + - name: state_id + type: int diff --git a/datajunction-clients/python/tests/examples/project11/municipality_dim.dimension.yaml b/datajunction-clients/python/tests/examples/project11/municipality_dim.dimension.yaml new file mode 100644 index 000000000..757bc0d73 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/municipality_dim.dimension.yaml @@ -0,0 +1,17 @@ +description: Municipality dimension +query: | + SELECT + m.municipality_id AS municipality_id, + contact_name, + contact_title, + local_region, + state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM ${prefix}roads.municipality AS m + LEFT JOIN ${prefix}roads.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN ${prefix}roads.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc +primary_key: + - municipality_id diff --git a/datajunction-clients/python/tests/examples/project11/municipality_municipality_type.source.yaml b/datajunction-clients/python/tests/examples/project11/municipality_municipality_type.source.yaml new file mode 100644 index 000000000..eef1762bb --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/municipality_municipality_type.source.yaml @@ -0,0 +1,7 @@ +description: Municipality information +table: default.roads.municipality_municipality_type +columns: + - name: municipality_id + type: string + - name: municipality_type_id + type: string diff --git a/datajunction-clients/python/tests/examples/project11/municipality_type.source.yaml b/datajunction-clients/python/tests/examples/project11/municipality_type.source.yaml new file mode 100644 index 000000000..7a9baa684 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/municipality_type.source.yaml @@ -0,0 +1,7 @@ +description: Descriptions for different types of municipalities +table: default.roads.municipality_type +columns: + - name: municipality_type_id + type: string + - name: municipality_type_desc + type: string diff --git a/datajunction-clients/python/tests/examples/project11/national_level_agg.transform.yaml b/datajunction-clients/python/tests/examples/project11/national_level_agg.transform.yaml new file mode 100644 index 000000000..8cb04002a --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/national_level_agg.transform.yaml @@ -0,0 +1,2 @@ +description: National level aggregates +query: SELECT SUM(rd.price * rd.quantity) AS total_amount_nationwide FROM ${prefix}roads.repair_order_details rd diff --git a/datajunction-clients/python/tests/examples/project11/num_repair_orders.metric.yaml b/datajunction-clients/python/tests/examples/project11/num_repair_orders.metric.yaml new file mode 100644 index 000000000..42ac4c46f --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/num_repair_orders.metric.yaml @@ -0,0 +1,2 @@ +description: Number of repair orders +query: SELECT count(repair_order_id) FROM ${prefix}roads.repair_orders diff --git a/datajunction-clients/python/tests/examples/project11/regional_level_agg.transform.yaml b/datajunction-clients/python/tests/examples/project11/regional_level_agg.transform.yaml new file mode 100644 index 000000000..ba3a11f55 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/regional_level_agg.transform.yaml @@ -0,0 +1,51 @@ +description: Regional-level aggregates +query: | + SELECT + usr.us_region_id, + us.state_name, + CONCAT(us.state_name, '-', usr.us_region_description) AS location_hierarchy, + EXTRACT(YEAR FROM ro.order_date) AS order_year, + EXTRACT(MONTH FROM ro.order_date) AS order_month, + EXTRACT(DAY FROM ro.order_date) AS order_day, + COUNT(DISTINCT CASE WHEN ro.dispatched_date IS NOT NULL THEN ro.repair_order_id ELSE NULL END) AS completed_repairs, + COUNT(DISTINCT ro.repair_order_id) AS total_repairs_dispatched, + SUM(rd.price * rd.quantity) AS total_amount_in_region, + AVG(rd.price * rd.quantity) AS avg_repair_amount_in_region, + -- ELEMENT_AT(ARRAY_SORT(COLLECT_LIST(STRUCT(COUNT(*) AS cnt, rt.repair_type_name AS repair_type_name)), (left, right) -> case when left.cnt < right.cnt then 1 when left.cnt > right.cnt then -1 else 0 end), 0).repair_type_name AS most_common_repair_type, + AVG(DATEDIFF(ro.dispatched_date, ro.order_date)) AS avg_dispatch_delay, + COUNT(DISTINCT c.contractor_id) AS unique_contractors + FROM + (SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM ${prefix}roads.repair_orders) ro + JOIN + ${prefix}roads.municipality m ON ro.municipality_id = m.municipality_id + JOIN + ${prefix}roads.us_states us ON m.state_id = us.state_id + AND AVG(rd.price * rd.quantity) > + (SELECT AVG(price * quantity) FROM ${prefix}roads.repair_order_details WHERE repair_order_id = ro.repair_order_id) + JOIN + ${prefix}roads.us_states us ON m.state_id = us.state_id + JOIN + ${prefix}roads.us_region usr ON us.state_region = usr.us_region_id + JOIN + ${prefix}roads.repair_order_details rd ON ro.repair_order_id = rd.repair_order_id + JOIN + ${prefix}roads.repair_type rt ON rd.repair_type_id = rt.repair_type_id + JOIN + ${prefix}roads.contractors c ON rt.contractor_id = c.contractor_id + GROUP BY + usr.us_region_id, + EXTRACT(YEAR FROM ro.order_date), + EXTRACT(MONTH FROM ro.order_date), + EXTRACT(DAY FROM ro.order_date) +dimension_links: + state_name: + dimension: ${prefix}roads.us_state + column: state_abbr diff --git a/datajunction-clients/python/tests/examples/project11/regional_repair_efficiency.metric.yaml b/datajunction-clients/python/tests/examples/project11/regional_repair_efficiency.metric.yaml new file mode 100644 index 000000000..3349b5cd0 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/regional_repair_efficiency.metric.yaml @@ -0,0 +1,16 @@ +description: | + For each US region (as defined in the us_region table), we want to calculate: + Regional Repair Efficiency = (Number of Completed Repairs / Total Repairs Dispatched) × + (Total Repair Amount in Region / Total Repair Amount Nationwide) × 100 + Here: + A "Completed Repair" is one where the dispatched_date is not null. + "Total Repair Amount in Region" is the total amount spent on repairs in a given region. + "Total Repair Amount Nationwide" is the total amount spent on all repairs nationwide. +query: | + SELECT + (SUM(rm.completed_repairs) * 1.0 / SUM(rm.total_repairs_dispatched)) * + (SUM(rm.total_amount_in_region) * 1.0 / SUM(na.total_amount_nationwide)) * 100 + FROM + ${prefix}roads.regional_level_agg rm + CROSS JOIN + ${prefix}roads.national_level_agg na diff --git a/datajunction-clients/python/tests/examples/project11/repair_order.dimension.yaml b/datajunction-clients/python/tests/examples/project11/repair_order.dimension.yaml new file mode 100644 index 000000000..cf9e39cbb --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/repair_order.dimension.yaml @@ -0,0 +1,20 @@ +description: Repair order dimension +query: | + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + dispatcher_id + FROM ${prefix}roads.repair_order_transform +primary_key: + - repair_order_id +dimension_links: + - type: join + node_column: dispatcher_id + dimension_node: ${prefix}roads.dispatcher + - type: join + node_column: hard_hat_id + dimension_node: ${prefix}roads.hard_hat + - type: join + node_column: municipality_id + dimension_node: ${prefix}roads.municipality_dim diff --git a/datajunction-clients/python/tests/examples/project11/repair_order_details.source.yaml b/datajunction-clients/python/tests/examples/project11/repair_order_details.source.yaml new file mode 100644 index 000000000..f2947f6ad --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/repair_order_details.source.yaml @@ -0,0 +1,17 @@ +description: This is a source for details on individual repair orders +table: default.roads.repair_order_details +columns: + - name: repair_order_id + type: int + - name: repair_type_id + type: int + - name: price + type: float + - name: quantity + type: int + - name: discount + type: float +dimension_links: + - type: join + node_column: repair_order_id + dimension_node: ${prefix}roads.repair_order diff --git a/datajunction-clients/python/tests/examples/project11/repair_order_transform.transform.yaml b/datajunction-clients/python/tests/examples/project11/repair_order_transform.transform.yaml new file mode 100644 index 000000000..861594a45 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/repair_order_transform.transform.yaml @@ -0,0 +1,9 @@ +description: Some column pruning for the repair order dimension +query: | + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + dispatcher_id + FROM ${prefix}roads.repair_orders + WHERE dispatcher_id IS NOT NULL diff --git a/datajunction-clients/python/tests/examples/project11/repair_orders.source.yaml b/datajunction-clients/python/tests/examples/project11/repair_orders.source.yaml new file mode 100644 index 000000000..1bacd3e1b --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/repair_orders.source.yaml @@ -0,0 +1,21 @@ +description: This is a source for information on outstanding and fulfilled repair orders +table: default.roads.repair_orders +columns: + - name: repair_order_id + type: int + - name: municipality_id + type: string + - name: hard_hat_id + type: int + - name: order_date + type: date + - name: required_date + type: date + - name: dispatched_date + type: date + - name: dispatcher_id + type: int +dimension_links: + - type: join + node_column: repair_order_id + dimension_node: ${prefix}roads.repair_order diff --git a/datajunction-clients/python/tests/examples/project11/repair_orders_cube.cube.yaml b/datajunction-clients/python/tests/examples/project11/repair_orders_cube.cube.yaml new file mode 100644 index 000000000..f92d8fc37 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/repair_orders_cube.cube.yaml @@ -0,0 +1,9 @@ +description: Repair Orders Cube +metrics: + - ${prefix}roads.num_repair_orders + - ${prefix}roads.avg_repair_price + - ${prefix}roads.total_repair_cost +dimensions: + - ${prefix}roads.hard_hat.state + - ${prefix}roads.dispatcher.company_name +filter: [] diff --git a/datajunction-clients/python/tests/examples/project11/repair_type.source.yaml b/datajunction-clients/python/tests/examples/project11/repair_type.source.yaml new file mode 100644 index 000000000..b8ba7d255 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/repair_type.source.yaml @@ -0,0 +1,13 @@ +description: Information on different types of repairs +table: default.roads.repair_type +columns: + - name: repair_type_id + type: int + - name: repair_type_name + type: string + - name: contractor_id + type: int +dimension_links: + - type: join + node_column: contractor_id + dimension_node: ${prefix}roads.contractor diff --git a/datajunction-clients/python/tests/examples/project11/total_repair_cost.metric.yaml b/datajunction-clients/python/tests/examples/project11/total_repair_cost.metric.yaml new file mode 100644 index 000000000..0451e60dd --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/total_repair_cost.metric.yaml @@ -0,0 +1,2 @@ +description: Total repair cost +query: SELECT sum(price) FROM ${prefix}roads.repair_order_details diff --git a/datajunction-clients/python/tests/examples/project11/total_repair_order_discounts.metric.yaml b/datajunction-clients/python/tests/examples/project11/total_repair_order_discounts.metric.yaml new file mode 100644 index 000000000..8d0f7d164 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/total_repair_order_discounts.metric.yaml @@ -0,0 +1,2 @@ +description: Total repair order discounts +query: SELECT sum(price * discount) FROM ${prefix}roads.repair_order_details diff --git a/datajunction-clients/python/tests/examples/project11/us_region.source.yaml b/datajunction-clients/python/tests/examples/project11/us_region.source.yaml new file mode 100644 index 000000000..2d63d5a70 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/us_region.source.yaml @@ -0,0 +1,7 @@ +description: US region info +table: default.roads.us_region +columns: + - name: us_region_id + type: int + - name: us_region_description + type: string diff --git a/datajunction-clients/python/tests/examples/project11/us_state.dimension.yaml b/datajunction-clients/python/tests/examples/project11/us_state.dimension.yaml new file mode 100644 index 000000000..6bebf25f0 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/us_state.dimension.yaml @@ -0,0 +1,13 @@ +description: US state dimension +query: | + SELECT + state_id, + state_name, + state_abbr, + state_region, + r.us_region_description AS state_region_description + FROM ${prefix}roads.us_states s + LEFT JOIN ${prefix}roads.us_region r + ON s.state_region = r.us_region_description +primary_key: + - state_id diff --git a/datajunction-clients/python/tests/examples/project11/us_states.source.yaml b/datajunction-clients/python/tests/examples/project11/us_states.source.yaml new file mode 100644 index 000000000..c3f5a40d0 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project11/us_states.source.yaml @@ -0,0 +1,11 @@ +description: US state data +table: default.roads.us_states +columns: + - name: state_id + type: int + - name: state_name + type: string + - name: state_abbr + type: string + - name: state_region + type: int diff --git a/datajunction-clients/python/tests/examples/project12/dj.yaml b/datajunction-clients/python/tests/examples/project12/dj.yaml new file mode 100644 index 000000000..40de609d3 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project12/dj.yaml @@ -0,0 +1,11 @@ +name: My DJ Project 7 +prefix: projects.project7 +mode: published +build: + priority: + - roads.companies + - roads.contractors + - roads.us_states + - roads.companies_dim + - roads.us_state + - roads.contractor diff --git a/datajunction-clients/python/tests/examples/project12/roads/companies.source.yaml b/datajunction-clients/python/tests/examples/project12/roads/companies.source.yaml new file mode 100644 index 000000000..c2a1bb177 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project12/roads/companies.source.yaml @@ -0,0 +1,5 @@ +description: Companies dimension +table: default.roads.companies +columns: + - name: name + type: str diff --git a/datajunction-clients/python/tests/examples/project12/roads/companies_dim.dimension.yaml b/datajunction-clients/python/tests/examples/project12/roads/companies_dim.dimension.yaml new file mode 100644 index 000000000..03d573ed8 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project12/roads/companies_dim.dimension.yaml @@ -0,0 +1,7 @@ +description: This is a source for information on companies +query: | + SELECT + name + FROM ${prefix}roads.companies +primary_key: + - name diff --git a/datajunction-clients/python/tests/examples/project12/roads/contractor.dimension.yaml b/datajunction-clients/python/tests/examples/project12/roads/contractor.dimension.yaml new file mode 100644 index 000000000..89310a894 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project12/roads/contractor.dimension.yaml @@ -0,0 +1,15 @@ +description: Contractor dimension +query: | + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country + FROM ${prefix}roads.contractors +primary_key: + - contractor_id diff --git a/datajunction-clients/python/tests/examples/project12/roads/contractors.source.yaml b/datajunction-clients/python/tests/examples/project12/roads/contractors.source.yaml new file mode 100644 index 000000000..e0d3946d7 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project12/roads/contractors.source.yaml @@ -0,0 +1,21 @@ +description: Information on companies contracted for repairs +table: default.roads.contractors +columns: + - name: contractor_id + type: int + - name: company_name + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string diff --git a/datajunction-clients/python/tests/examples/project12/roads/us_state.dimension.yaml b/datajunction-clients/python/tests/examples/project12/roads/us_state.dimension.yaml new file mode 100644 index 000000000..c6915eaf1 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project12/roads/us_state.dimension.yaml @@ -0,0 +1,10 @@ +description: US state dimension +query: | + SELECT + state_id, + state_name, + state_abbr, + state_region + FROM ${prefix}roads.us_states s +primary_key: + - state_id diff --git a/datajunction-clients/python/tests/examples/project12/roads/us_states.source.yaml b/datajunction-clients/python/tests/examples/project12/roads/us_states.source.yaml new file mode 100644 index 000000000..c3f5a40d0 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project12/roads/us_states.source.yaml @@ -0,0 +1,11 @@ +description: US state data +table: default.roads.us_states +columns: + - name: state_id + type: int + - name: state_name + type: string + - name: state_abbr + type: string + - name: state_region + type: int diff --git a/datajunction-clients/python/tests/examples/project2/dj.yaml b/datajunction-clients/python/tests/examples/project2/dj.yaml new file mode 100644 index 000000000..e63893f1e --- /dev/null +++ b/datajunction-clients/python/tests/examples/project2/dj.yaml @@ -0,0 +1,3 @@ +name: My DJ Project 2 +prefix: projects.project2 +mode: published diff --git a/datajunction-clients/python/tests/examples/project2/some_node.source.yaml b/datajunction-clients/python/tests/examples/project2/some_node.source.yaml new file mode 100644 index 000000000..c5fe7489f --- /dev/null +++ b/datajunction-clients/python/tests/examples/project2/some_node.source.yaml @@ -0,0 +1,7 @@ +description: A node that will raise due to missing a catalog in the table name +table: roads.us_states +columns: + - name: foo + type: int + - name: bar + type: string diff --git a/datajunction-clients/python/tests/examples/project3/dj.yaml b/datajunction-clients/python/tests/examples/project3/dj.yaml new file mode 100644 index 000000000..0893fdb36 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project3/dj.yaml @@ -0,0 +1,3 @@ +name: My DJ Project 3 +prefix: projects.project3 +mode: published diff --git a/datajunction-clients/python/tests/examples/project3/some_node.yaml b/datajunction-clients/python/tests/examples/project3/some_node.yaml new file mode 100644 index 000000000..2a86c25b2 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project3/some_node.yaml @@ -0,0 +1,7 @@ +description: A source that raises an error because it's missing the .source.yaml extension +table: default.myschema.mytable +columns: + - name: foo + type: int + - name: bar + type: string diff --git a/datajunction-clients/python/tests/examples/project4/dj.yaml b/datajunction-clients/python/tests/examples/project4/dj.yaml new file mode 100644 index 000000000..fb4495a4c --- /dev/null +++ b/datajunction-clients/python/tests/examples/project4/dj.yaml @@ -0,0 +1,3 @@ +name: My DJ Project 4 +prefix: projects.project4 +mode: published diff --git a/datajunction-clients/python/tests/examples/project4/very/very/deeply/nested/namespace/some_node.source.yaml b/datajunction-clients/python/tests/examples/project4/very/very/deeply/nested/namespace/some_node.source.yaml new file mode 100644 index 000000000..3b3a5f71e --- /dev/null +++ b/datajunction-clients/python/tests/examples/project4/very/very/deeply/nested/namespace/some_node.source.yaml @@ -0,0 +1,7 @@ +description: A source node definition +table: default.myschema.mytable +columns: + - name: foo + type: int + - name: bar + type: string diff --git a/datajunction-clients/python/tests/examples/project5/dj.yaml b/datajunction-clients/python/tests/examples/project5/dj.yaml new file mode 100644 index 000000000..311980138 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project5/dj.yaml @@ -0,0 +1,3 @@ +name: My DJ Project 5 +prefix: projects.project5 +mode: published diff --git a/datajunction-clients/python/tests/examples/project5/some_node.a.b.c.source.yaml b/datajunction-clients/python/tests/examples/project5/some_node.a.b.c.source.yaml new file mode 100644 index 000000000..2a86c25b2 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project5/some_node.a.b.c.source.yaml @@ -0,0 +1,7 @@ +description: A source that raises an error because it's missing the .source.yaml extension +table: default.myschema.mytable +columns: + - name: foo + type: int + - name: bar + type: string diff --git a/datajunction-clients/python/tests/examples/project6/dj.yaml b/datajunction-clients/python/tests/examples/project6/dj.yaml new file mode 100644 index 000000000..5163abfdf --- /dev/null +++ b/datajunction-clients/python/tests/examples/project6/dj.yaml @@ -0,0 +1,3 @@ +name: My DJ Project 6 +prefix: projects.project6 +mode: published diff --git a/datajunction-clients/python/tests/examples/project6/roads/contractor.dimension.yaml b/datajunction-clients/python/tests/examples/project6/roads/contractor.dimension.yaml new file mode 100644 index 000000000..d812169ba --- /dev/null +++ b/datajunction-clients/python/tests/examples/project6/roads/contractor.dimension.yaml @@ -0,0 +1,15 @@ +description: A dimension node that will fail because it's selecting from a node that doesn't exist +query: | + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country + FROM some_non_existent_node +primary_key: + - contractor_id diff --git a/datajunction-clients/python/tests/examples/project6/roads/contractors.source.yaml b/datajunction-clients/python/tests/examples/project6/roads/contractors.source.yaml new file mode 100644 index 000000000..e0d3946d7 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project6/roads/contractors.source.yaml @@ -0,0 +1,21 @@ +description: Information on companies contracted for repairs +table: default.roads.contractors +columns: + - name: contractor_id + type: int + - name: company_name + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string diff --git a/datajunction-clients/python/tests/examples/project7/dj.yaml b/datajunction-clients/python/tests/examples/project7/dj.yaml new file mode 100644 index 000000000..97176a069 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project7/dj.yaml @@ -0,0 +1,3 @@ +name: My DJ Project 7 +prefix: projects.project7 +mode: published diff --git a/datajunction-clients/python/tests/examples/project7/roads/contractor.dimension.yaml b/datajunction-clients/python/tests/examples/project7/roads/contractor.dimension.yaml new file mode 100644 index 000000000..f84bcb49c --- /dev/null +++ b/datajunction-clients/python/tests/examples/project7/roads/contractor.dimension.yaml @@ -0,0 +1,19 @@ +description: A dimension node that will fail because it's selecting from a node that doesn't exist +query: | + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country + FROM some_non_existent_node +primary_key: + - contractor_id +dimension_links: + - type: join + node_column: repair_order_id + dimension_node: ${prefix}does.not.exist diff --git a/datajunction-clients/python/tests/examples/project7/roads/contractors.source.yaml b/datajunction-clients/python/tests/examples/project7/roads/contractors.source.yaml new file mode 100644 index 000000000..e0d3946d7 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project7/roads/contractors.source.yaml @@ -0,0 +1,21 @@ +description: Information on companies contracted for repairs +table: default.roads.contractors +columns: + - name: contractor_id + type: int + - name: company_name + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string diff --git a/datajunction-clients/python/tests/examples/project8/dj.yaml b/datajunction-clients/python/tests/examples/project8/dj.yaml new file mode 100644 index 000000000..17bea96bc --- /dev/null +++ b/datajunction-clients/python/tests/examples/project8/dj.yaml @@ -0,0 +1,6 @@ +name: My DJ Project 8 +prefix: projects.project8 +mode: published +build: + priority: + - node.that.does.not.exist diff --git a/datajunction-clients/python/tests/examples/project9/dj.yaml b/datajunction-clients/python/tests/examples/project9/dj.yaml new file mode 100644 index 000000000..40de609d3 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project9/dj.yaml @@ -0,0 +1,11 @@ +name: My DJ Project 7 +prefix: projects.project7 +mode: published +build: + priority: + - roads.companies + - roads.contractors + - roads.us_states + - roads.companies_dim + - roads.us_state + - roads.contractor diff --git a/datajunction-clients/python/tests/examples/project9/roads/companies.source.yaml b/datajunction-clients/python/tests/examples/project9/roads/companies.source.yaml new file mode 100644 index 000000000..c2a1bb177 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project9/roads/companies.source.yaml @@ -0,0 +1,5 @@ +description: Companies dimension +table: default.roads.companies +columns: + - name: name + type: str diff --git a/datajunction-clients/python/tests/examples/project9/roads/companies_dim.dimension.yaml b/datajunction-clients/python/tests/examples/project9/roads/companies_dim.dimension.yaml new file mode 100644 index 000000000..03d573ed8 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project9/roads/companies_dim.dimension.yaml @@ -0,0 +1,7 @@ +description: This is a source for information on companies +query: | + SELECT + name + FROM ${prefix}roads.companies +primary_key: + - name diff --git a/datajunction-clients/python/tests/examples/project9/roads/contractor.dimension.yaml b/datajunction-clients/python/tests/examples/project9/roads/contractor.dimension.yaml new file mode 100644 index 000000000..bd585c364 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project9/roads/contractor.dimension.yaml @@ -0,0 +1,22 @@ +description: Contractor dimension +query: | + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country + FROM ${prefix}roads.contractors +primary_key: + - contractor_id +dimension_links: + - type: join + node_column: state + dimension_node: ${prefix}roads.us_state + - type: reference + node_column: company_name + dimension: ${prefix}roads.companies_dim.name diff --git a/datajunction-clients/python/tests/examples/project9/roads/contractors.source.yaml b/datajunction-clients/python/tests/examples/project9/roads/contractors.source.yaml new file mode 100644 index 000000000..e0d3946d7 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project9/roads/contractors.source.yaml @@ -0,0 +1,21 @@ +description: Information on companies contracted for repairs +table: default.roads.contractors +columns: + - name: contractor_id + type: int + - name: company_name + type: string + - name: contact_name + type: string + - name: contact_title + type: string + - name: address + type: string + - name: city + type: string + - name: state + type: string + - name: postal_code + type: string + - name: country + type: string diff --git a/datajunction-clients/python/tests/examples/project9/roads/us_state.dimension.yaml b/datajunction-clients/python/tests/examples/project9/roads/us_state.dimension.yaml new file mode 100644 index 000000000..c6915eaf1 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project9/roads/us_state.dimension.yaml @@ -0,0 +1,10 @@ +description: US state dimension +query: | + SELECT + state_id, + state_name, + state_abbr, + state_region + FROM ${prefix}roads.us_states s +primary_key: + - state_id diff --git a/datajunction-clients/python/tests/examples/project9/roads/us_states.source.yaml b/datajunction-clients/python/tests/examples/project9/roads/us_states.source.yaml new file mode 100644 index 000000000..c3f5a40d0 --- /dev/null +++ b/datajunction-clients/python/tests/examples/project9/roads/us_states.source.yaml @@ -0,0 +1,11 @@ +description: US state data +table: default.roads.us_states +columns: + - name: state_id + type: int + - name: state_name + type: string + - name: state_abbr + type: string + - name: state_region + type: int diff --git a/datajunction-clients/python/tests/test__internal.py b/datajunction-clients/python/tests/test__internal.py new file mode 100644 index 000000000..7deddd387 --- /dev/null +++ b/datajunction-clients/python/tests/test__internal.py @@ -0,0 +1,91 @@ +""" +Tests DJ client (internal) functionality. +""" + +from unittest.mock import MagicMock, call, patch + +import pytest + +from datajunction._internal import DJClient +from datajunction.exceptions import DJClientException, DJTagDoesNotExist + + +class TestDJClient: # pylint: disable=too-many-public-methods, protected-access + """ + Tests for DJClient internal functionality. + """ + + @pytest.fixture + def client(self, module__server): + """ + Returns a DJ client instance + """ + return DJClient(requests_session=module__server) + + def test_create_user(self, client): + """ + Check that `client.create_user()` works as expected. + """ + client._session.post = MagicMock( + return_value=MagicMock( + json=MagicMock(return_value={"text": "User already exists."}), + ), + ) + response = client.create_user(email="foo", username="bar", password="baz") + assert response == {"text": "User already exists."} + assert client._session.post.call_args == call( + "/basic/user/", + json={"email": "foo", "username": "bar", "password": "baz"}, + ) + + def test_basic_login(self, client): + """ + Check that `client.basic_login()` works as expected. + """ + client._session.post = MagicMock() + client.basic_login(username="bar", password="baz") + assert client._session.post.call_args == call( + "/basic/login/", + data={"username": "bar", "password": "baz"}, + ) + + def test__verify_node_exists(self, client): + """ + Check that `client._verify_node_exists()` works as expected. + """ + with patch("starlette.testclient.TestClient.get") as get_mock: + get_mock.return_value = MagicMock( + json=MagicMock(return_value={"name": "_", "type": "foo"}), + ) + with pytest.raises(DJClientException): + client._verify_node_exists(node_name="_", type_="bar") + + def test__list_nodes_with_tag(self, client): + """ + Check that `client._list_nodes_with_tag()` works as expected. + """ + # error: tag does not exist + with pytest.raises(DJTagDoesNotExist): + client._list_nodes_with_tag( + tag_name="foo", + ) + + # error: invalid node_type + with pytest.raises(AttributeError): + client._list_nodes_with_tag( + tag_name="foo", + node_type="not_a_node", + ) + with pytest.raises(TypeError): + client._list_nodes_with_tag( + tag_name="foo", + node_type=MagicMock(), + ) + + # error: exception during request + client._session.get = MagicMock(side_effect=Exception("Boom!")) + with pytest.raises(Exception) as exc_info: + client._list_nodes_with_tag( + tag_name="foo", + ) + assert "Boom!" in str(exc_info.value) diff --git a/datajunction-clients/python/tests/test_admin.py b/datajunction-clients/python/tests/test_admin.py new file mode 100644 index 000000000..3b7bef249 --- /dev/null +++ b/datajunction-clients/python/tests/test_admin.py @@ -0,0 +1,130 @@ +"""Tests DJ client""" + +import pytest + +from datajunction import DJAdmin +from datajunction.exceptions import DJClientException + + +class TestDJAdmin: # pylint: disable=too-many-public-methods + """ + Tests for DJ client/builder functionality. + """ + + @pytest.fixture + def client(self, module__session_with_examples): + """ + Returns a DJ client instance + """ + return DJAdmin(requests_session=module__session_with_examples) # type: ignore + + # + # Data Catalogs + # + def test_get_catalog(self, client): + """ + Check that `client.get_catalog()` works as expected. + """ + result = client.get_catalog(name="default") + assert result == { + "name": "default", + "engines": [ + {"name": "spark", "version": "3.1.1", "uri": None, "dialect": "spark"}, + ], + } + + def test_add_catalog(self, client): + """ + Check that `client.add_catalog()` works as expected. + """ + # check not exists + result = client.get_catalog(name="foo-bar-baz") + assert "Catalog with name `foo-bar-baz` does not exist." in result["message"] + # add catalog + result = client.add_catalog(name="foo-bar-baz") + assert result is None + # check does exist + result = client.get_catalog(name="foo-bar-baz") + assert result == { + "name": "foo-bar-baz", + "engines": [], + } + + # + # Database Engines + # + def test_get_engine(self, client): + """ + Check that `client.get_engine()` works as expected. + """ + result = client.get_engine(name="spark", version="3.1.1") + assert result == { + "dialect": "spark", + "name": "spark", + "uri": None, + "version": "3.1.1", + } + + def test_add_engine(self, client): + """ + Check that `client.get_engine()` works as expected. + """ + # check not exist + result = client.get_engine(name="8-cylinder", version="7.11") + assert "Engine not found: `8-cylinder` version `7.11`" in result["detail"] + # add engine + client.add_engine( + name="8-cylinder", + version="7.11", + uri="go/to-the-corner", + dialect="trino", + ) + # check not exist + result = client.get_engine(name="8-cylinder", version="7.11") + assert result == { + "dialect": "trino", + "name": "8-cylinder", + "uri": "go/to-the-corner", + "version": "7.11", + } + + def test_link_engine_to_catalog(self, client): + """ + Check that `client.get_engine()` works as expected. + """ + # try to link engine to catalog + with pytest.raises(DJClientException) as exc: + result = client.link_engine_to_catalog( + engine="12-cylinder", + version="7.11", + catalog="public", + ) + assert "Engine not found: `12-cylinder` version `7.11`" in str(exc) + # add engine + client.add_engine( + name="12-cylinder", + version="7.11", + uri="go/to-the-corner", + dialect="trino", + ) + # try to link engine to catalog (again) + result = client.link_engine_to_catalog( + engine="12-cylinder", + version="7.11", + catalog="public", + ) + assert result is None + # check the catalog + result = client.get_catalog(name="public") + assert result == { + "engines": [ + {"dialect": None, "name": "postgres", "uri": None, "version": "15.2"}, + { + "dialect": "trino", + "name": "12-cylinder", + "uri": "go/to-the-corner", + "version": "7.11", + }, + ], + "name": "public", + } diff --git a/datajunction-clients/python/tests/test_base.py b/datajunction-clients/python/tests/test_base.py new file mode 100644 index 000000000..29b369c85 --- /dev/null +++ b/datajunction-clients/python/tests/test_base.py @@ -0,0 +1,170 @@ +""" +Test serializable mixin for dict to dataclass conversion +""" + +from dataclasses import dataclass +from datetime import datetime +from typing import List, Optional + +from datajunction._base import SerializableMixin +from datajunction._internal import DJClient + + +@dataclass +class DataClassSimple(SerializableMixin): + """Simple dataclass""" + + name: str + version: str + other: Optional[int] + created: datetime + + +@dataclass +class DataClassNested(SerializableMixin): + """Nested dataclass""" + + name: str + dj_client: Optional[DJClient] + dc_list: List[DataClassSimple] + dc_list_optional: Optional[List[DataClassSimple]] + dc_optional: Optional[DataClassSimple] + dc_str_list: List[str] + + +class OtherClass(SerializableMixin): # pylint: disable=too-few-public-methods + """Non-dataclass test case""" + + def __init__(self, name: str, version: Optional[str]): + self.name = name + self.version = version + + +class TestSerializableMixin: + """ + Tests for the SerializableMixin base class + """ + + def test_non_dataclass(self): + """ + Test the mixin with non-dataclasses + """ + other_class = OtherClass.from_dict( + dj_client=None, + data={"name": "Name", "version": "v1"}, + ) + assert other_class.name == "Name" + assert other_class.version == "v1" + + def test_serialize_simple(self): + """ + Serialize simple dataclass + """ + now = datetime.now() + dc_simple = DataClassSimple.from_dict( + dj_client=None, + data={ + "name": "Name", + "version": "v1", + "other": 123, + "created": now, + }, + ) + assert dc_simple.name == "Name" + assert dc_simple.version == "v1" + assert dc_simple.other == 123 + assert dc_simple.created == now + + def test_serialize_nested(self): + """ + Serialize nested dataclass + """ + now = datetime.now() + dj_client = DJClient() + dc_nested = DataClassNested.from_dict( + dj_client=dj_client, + data={ + "name": "Name", + "dc_list": [ + {"name": "N1", "version": "v1", "other": 123, "created": now}, + {"name": "N2", "version": "v2", "other": None, "created": now}, + ], + "dc_list_optional": [ + {"name": "N1", "version": "v1", "other": 123, "created": now}, + ], + "dc_optional": { + "name": "N1", + "version": "v1", + "other": 123, + "created": now, + }, + "dc_str_list": ["a", "b", "c"], + }, + ) + assert dc_nested == DataClassNested( + name="Name", + dj_client=dj_client, + dc_list=[ + DataClassSimple( + name="N1", + version="v1", + other=123, + created=now, + ), + DataClassSimple( + name="N2", + version="v2", + other=None, + created=now, + ), + ], + dc_list_optional=[ + DataClassSimple( + name="N1", + version="v1", + other=123, + created=now, + ), + ], + dc_optional=DataClassSimple( + name="N1", + version="v1", + other=123, + created=now, + ), + dc_str_list=["a", "b", "c"], + ) + dc_nested = DataClassNested.from_dict( + dj_client=None, + data={ + "name": "Name", + "dc_list": [ + {"name": "N1", "version": "v1", "other": 123, "created": now}, + {"name": "N2", "version": "v2", "other": None, "created": now}, + ], + "dc_list_optional": None, + "dc_optional": None, + "dc_str_list": ["a", "b", "c"], + }, + ) + assert dc_nested == DataClassNested( + name="Name", + dj_client=None, + dc_list=[ + DataClassSimple( + name="N1", + version="v1", + other=123, + created=now, + ), + DataClassSimple( + name="N2", + version="v2", + other=None, + created=now, + ), + ], + dc_list_optional=None, + dc_optional=None, + dc_str_list=["a", "b", "c"], + ) diff --git a/datajunction-clients/python/tests/test_builder.py b/datajunction-clients/python/tests/test_builder.py new file mode 100644 index 000000000..89dee693f --- /dev/null +++ b/datajunction-clients/python/tests/test_builder.py @@ -0,0 +1,1286 @@ +# pylint: disable=too-many-lines,too-many-statements +"""Tests DJ client""" + +from unittest.mock import MagicMock, patch + +import pytest +from requests.exceptions import HTTPError + +from datajunction import DJBuilder +from datajunction.exceptions import ( + DJClientException, + DJNamespaceAlreadyExists, + DJTableAlreadyRegistered, + DJTagAlreadyExists, + DJViewAlreadyRegistered, +) +from datajunction.models import ( + AvailabilityState, + Column, + ColumnAttribute, + Materialization, + MaterializationJobType, + MaterializationStrategy, + MetricDirection, + MetricUnit, + NodeMode, +) + + +class TestDJBuilder: # pylint: disable=too-many-public-methods, protected-access + """ + Tests for DJ client/builder functionality. + """ + + @pytest.fixture + def client(self, module__session_with_examples): + """ + Returns a DJ client instance + """ + return DJBuilder(requests_session=module__session_with_examples) # type: ignore + + def test_nodes_in_namespace(self, client): + """ + Check that `client._get_nodes_in_namespace()` works as expected. + """ + assert set(client.namespace("foo.bar").nodes()) == { + "foo.bar.repair_orders", + "foo.bar.repair_order_details", + "foo.bar.repair_type", + "foo.bar.contractors", + "foo.bar.municipality_municipality_type", + "foo.bar.municipality_type", + "foo.bar.municipality", + "foo.bar.dispatchers", + "foo.bar.hard_hats", + "foo.bar.hard_hat_state", + "foo.bar.us_states", + "foo.bar.us_region", + "foo.bar.repair_order", + "foo.bar.contractor", + "foo.bar.hard_hat", + "foo.bar.local_hard_hats", + "foo.bar.us_state", + "foo.bar.dispatcher", + "foo.bar.municipality_dim", + "foo.bar.num_repair_orders", + "foo.bar.avg_repair_price", + "foo.bar.total_repair_cost", + "foo.bar.avg_length_of_employment", + "foo.bar.total_repair_order_discounts", + "foo.bar.avg_repair_order_discounts", + "foo.bar.avg_time_to_dispatch", + "foo.bar.cube_one", + "foo.bar.repair_orders_thin", + "foo.bar.with_custom_metadata", + } + assert set(client.namespace("foo.bar").sources()) == { + "foo.bar.repair_orders", + "foo.bar.repair_order_details", + "foo.bar.repair_type", + "foo.bar.contractors", + "foo.bar.municipality_municipality_type", + "foo.bar.municipality_type", + "foo.bar.municipality", + "foo.bar.dispatchers", + "foo.bar.hard_hats", + "foo.bar.hard_hat_state", + "foo.bar.us_states", + "foo.bar.us_region", + } + assert set(client.list_dimensions(namespace="foo.bar")) == { + "foo.bar.repair_order", + "foo.bar.contractor", + "foo.bar.hard_hat", + "foo.bar.local_hard_hats", + "foo.bar.us_state", + "foo.bar.dispatcher", + "foo.bar.municipality_dim", + } + assert set(client.list_metrics(namespace="foo.bar")) == { + "foo.bar.num_repair_orders", + "foo.bar.avg_repair_price", + "foo.bar.total_repair_cost", + "foo.bar.avg_length_of_employment", + "foo.bar.total_repair_order_discounts", + "foo.bar.avg_repair_order_discounts", + "foo.bar.avg_time_to_dispatch", + } + assert set(client.namespace("foo.bar").transforms()) == { + "foo.bar.with_custom_metadata", + "foo.bar.repair_orders_thin", + } + assert client.namespace("foo.bar").cubes() == ["foo.bar.cube_one"] + + def test_all_nodes(self, client): + """ + Verifies that retrieving nodes with `client.nodes()` or node-type + specific calls like `client.sources()` work. + """ + expected_names_only = { + "default.repair_orders", + "default.repair_orders_foo", + "default.repair_order_details", + "default.repair_type", + "default.contractors", + "default.municipality_municipality_type", + "default.municipality_type", + "default.municipality", + "default.dispatchers", + "default.hard_hats", + "default.hard_hat_state", + "default.us_states", + "default.us_region", + "default.repair_order", + "default.contractor", + "default.hard_hat", + "default.local_hard_hats", + "default.us_state", + "default.dispatcher", + "default.municipality_dim", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.avg_length_of_employment", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + "default.cube_two", + "default.repair_orders_thin", + } + result_names_only = client.namespace("default").nodes() + assert set(result_names_only) == expected_names_only + + # sources + result_names_only = client.namespace("default").sources() + assert set(result_names_only) == { + "default.repair_orders", + "default.repair_orders_foo", + "default.repair_order_details", + "default.repair_type", + "default.contractors", + "default.municipality_municipality_type", + "default.municipality_type", + "default.municipality", + "default.dispatchers", + "default.hard_hats", + "default.hard_hat_state", + "default.us_states", + "default.us_region", + } + + repair_orders = client.source("default.repair_orders") + assert repair_orders.name == "default.repair_orders" + assert repair_orders.catalog == "default" + assert repair_orders.schema_ == "roads" + assert repair_orders.table == "repair_orders" + assert repair_orders.type == "source" + assert repair_orders.description == "All repair orders" + assert repair_orders.tags == [] + assert repair_orders.primary_key == [] + assert isinstance(repair_orders.current_version, str) + assert repair_orders.columns[0] == Column( + name="repair_order_id", + type="int", + display_name="Repair Order Id", + attributes=[], + dimension=None, + ) + + # dimensions (all) + all_dimensions = client.list_dimensions() + assert set(all_dimensions) == { + "default.repair_order", + "default.contractor", + "default.hard_hat", + "default.local_hard_hats", + "default.us_state", + "default.dispatcher", + "default.municipality_dim", + "foo.bar.repair_order", + "foo.bar.contractor", + "foo.bar.hard_hat", + "foo.bar.local_hard_hats", + "foo.bar.us_state", + "foo.bar.dispatcher", + "foo.bar.municipality_dim", + } + # dimensions (namespace: default) + result_names_only = client.list_dimensions(namespace="default") + assert set(result_names_only) == { + "default.repair_order", + "default.contractor", + "default.hard_hat", + "default.local_hard_hats", + "default.us_state", + "default.dispatcher", + "default.municipality_dim", + } + repair_order_dim = client.dimension("default.repair_order") + assert repair_order_dim.name == "default.repair_order" + assert "FROM default.repair_orders" in repair_order_dim.query + assert repair_order_dim.type == "dimension" + assert repair_order_dim.primary_key == ["repair_order_id"] + assert repair_order_dim.description == "Repair order dimension" + assert repair_order_dim.tags == [] + assert isinstance(repair_order_dim.current_version, str) + assert repair_order_dim.columns[0] == Column( + name="repair_order_id", + type="int", + display_name="Repair Order Id", + attributes=[ColumnAttribute(name="primary_key", namespace="system")], + dimension=None, + ) + + # transforms + result = client.namespace("default").transforms() + assert result == ["default.repair_orders_thin"] + thin = client.transform("default.repair_orders_thin") + assert thin.name == "default.repair_orders_thin" + assert "FROM default.repair_orders" in thin.query + assert thin.type == "transform" + assert thin.primary_key == [] + assert thin.description == "3 columns from default.repair_orders" + assert thin.tags == [] + assert isinstance(thin.current_version, str) + assert thin.columns[0] == Column( + name="repair_order_id", + type="int", + display_name="Repair Order Id", + attributes=[], + dimension=None, + ) + + # metrics + result_names_only = client.list_metrics(namespace="default") + assert set(result_names_only) == { + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.avg_length_of_employment", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + } + + num_repair_orders = client.metric("default.num_repair_orders") + assert num_repair_orders.name == "default.num_repair_orders" + assert num_repair_orders.query == ( + "SELECT count(repair_order_id) FROM default.repair_orders" + ) + assert num_repair_orders.type == "metric" + assert num_repair_orders.required_dimensions == [] + assert num_repair_orders.description == "Number of repair orders" + assert num_repair_orders.tags == [] + assert num_repair_orders.metric_metadata is None + assert isinstance(num_repair_orders.current_version, str) + assert num_repair_orders.columns[0] == Column( + name="default_DOT_num_repair_orders", + type="bigint", + display_name="Num Repair Orders", + attributes=[], + dimension=None, + ) + + # cubes + result = client.namespace("default").cubes() + assert result == ["default.cube_two"] + cube_two = client.cube("default.cube_two") + assert cube_two.type == "cube" + assert cube_two.metrics == ["default.num_repair_orders"] + assert cube_two.dimensions == ["default.municipality_dim.local_region"] + assert cube_two.filters is None + assert cube_two.columns[0] == Column( + name="default.num_repair_orders", + type="bigint", + display_name="Num Repair Orders", + attributes=[], + dimension=None, + ) + + with pytest.raises(DJClientException) as exc_info: + client.cube("a_cube") + assert "Cube `a_cube` does not exist" in str(exc_info) + + def test_deactivating_node(self, client): # pylint: disable=unused-argument + """ + Verifies that deactivating and reactivating a node works. + """ + length_metric = client.metric("default.avg_length_of_employment") + response = length_metric.delete() + assert response is None + assert "default.avg_length_of_employment" not in client.list_metrics( + namespace="default", + ) + response = length_metric.restore() + assert response is None + assert "default.avg_length_of_employment" in client.list_metrics( + namespace="default", + ) + + def test_register_table(self, client): # pylint: disable=unused-argument + """ + Verifies that registering a table works. + """ + try: + client.create_namespace("source") + except DJNamespaceAlreadyExists: + pass + store_comments = client.register_table( + catalog="default", + schema="store", + table="comments", + ) + assert store_comments.name == "source.default.store.comments" + assert ( + "source.default.store.comments" + in client.namespace("source.default.store").sources() + ) + # and that errors are handled properly + with patch("starlette.testclient.TestClient.post") as post_mock: + post_mock.side_effect = HTTPError("409 Client Error: Conflict") + with pytest.raises(DJTableAlreadyRegistered): + client.register_table( + catalog="default", + schema="store", + table="comments", + ) + with patch("starlette.testclient.TestClient.post") as post_mock: + post_mock.side_effect = Exception("Boom!") + with pytest.raises(DJClientException): + client.register_table( + catalog="default", + schema="store", + table="comments", + ) + + def test_register_view(self, client): # pylint: disable=unused-argument + """ + Verifies that registering a view works. + """ + try: + client.create_namespace("source") + except DJNamespaceAlreadyExists: + pass + store_comments = client.register_view( + catalog="default", + schema="store", + view="comments_view", + query="SELECT * FROM store.comments", + replace=True, + ) + assert store_comments.name == "source.default.store.comments_view" + assert ( + "source.default.store.comments_view" + in client.namespace("source.default.store").sources() + ) + # and that errors are handled properly + with patch("starlette.testclient.TestClient.post") as post_mock: + post_mock.side_effect = HTTPError("409 Client Error: Conflict") + with pytest.raises(DJViewAlreadyRegistered): + client.register_view( + catalog="default", + schema="store", + view="comments_view", + query="SELECT * FROM store.comments", + ) + with patch("starlette.testclient.TestClient.post") as post_mock: + post_mock.side_effect = Exception("Boom!") + with pytest.raises(DJClientException): + client.register_view( + catalog="default", + schema="store", + view="comments_view", + query="SELECT * FROM store.comments", + replace=True, + ) + + def test_create_and_update_node(self, client): # pylint: disable=unused-argument + """ + Verifies that creating nodes works. + """ + # create it + account_type_table = client.create_source( + name="default.account_type_table", + description="A source table for account type data", + display_name="Account Type Table", + catalog="default", + schema="store", + table="account_type_table", + columns=[ + Column(name="id", type="int"), + Column(name="account_type_name", type="string"), + Column(name="account_type_classification", type="int"), + Column(name="preferred_payment_method", type="int"), + ], + mode=NodeMode.DRAFT, + ) + assert account_type_table.name == "default.account_type_table" + assert "default.account_type_table" in client.namespace("default").sources() + + # update it + # ... should fail since update_if_exists is set to False + with pytest.raises(DJClientException): + account_type_table = client.create_source( + name="default.account_type_table", + description="new description", + update_if_exists=False, + ) + + # ... should work since update_if_exists is set to True + account_type_table = client.create_source( + name="default.account_type_table", + description="new description", + update_if_exists=True, + ) + assert account_type_table.description == "new description" + + def test_saving_a_node(self, client): + """ + Verifies that saving a node works. + """ + client._create_node = MagicMock(return_value=MagicMock(status_code=200)) + client._update_node_tags = MagicMock(return_value=MagicMock(status_code=200)) + + client.create_tag( + name="foo", + description="Foo", + tag_type="test", + tag_metadata={"foo": "bar"}, + ) + account_type_table = client.create_source( + name="default.account_type_table", + description="A source table for account type data", + display_name="Account Type Table", + catalog="default", + schema="store", + table="account_type_table", + columns=[ + Column(name="id", type="int"), + Column(name="account_type_name", type="string"), + Column(name="account_type_classification", type="int"), + Column(name="preferred_payment_method", type="int"), + ], + mode=NodeMode.DRAFT, + tags=["foo"], + update_if_exists=True, + ) + assert account_type_table.name == "default.account_type_table" + assert account_type_table.display_name == "Account Type Table" + + new_node = account_type_table + new_node.name = "default.account_type_table_new" + new_node.display_name = "New: Account Type Table" + new_node.save() + new_node.refresh() + assert new_node.name == "default.account_type_table_new" + assert new_node.display_name == "New: Account Type Table" + + def test_create_nodes(self, client): # pylint: disable=unused-argument + """ + Verifies that creating nodes works. + """ + client.create_tag( + name="foo", + description="Foo Bar", + tag_type="test", + tag_metadata={"foo": "bar"}, + update_if_exists=True, + ) + foo_tag = client.tag("foo") + # source nodes + account_type_table = client.create_source( + name="default.account_type_table", + description="A source table for account type data", + display_name="Account Type Table", + catalog="default", + schema="store", + table="account_type_table", + columns=[ + Column(name="id", type="int"), + Column(name="account_type_name", type="string"), + Column(name="account_type_classification", type="int"), + Column(name="preferred_payment_method", type="int"), + ], + tags=[foo_tag], + mode=NodeMode.PUBLISHED, + update_if_exists=True, + ) + assert account_type_table.name == "default.account_type_table" + assert [tag["name"] for tag in account_type_table.tags] == ["foo"] + assert "default.account_type_table" in client.namespace("default").sources() + + payment_type_table = client.create_source( + name="default.payment_type_table", + description="A source table for payment type data", + display_name="Payment Type Table", + catalog="default", + schema="store", + table="payment_type_table", + columns=[ + Column(name="id", type="int"), + Column(name="payment_type_name", type="string"), + Column(name="payment_type_classification", type="string"), + ], + tags=[foo_tag], + mode=NodeMode.PUBLISHED, + ) + assert payment_type_table.name == "default.payment_type_table" + assert [tag["name"] for tag in payment_type_table.tags] == ["foo"] + assert "default.payment_type_table" in client.namespace("default").sources() + + revenue = client.create_source( + name="default.revenue", + description="Record of payments", + display_name="Payment Records", + catalog="default", + schema="accounting", + table="revenue", + columns=[ + Column(name="payment_id", type="int"), + Column(name="payment_amount", type="float"), + Column(name="payment_type", type="int"), + Column(name="customer_id", type="int"), + Column(name="account_type", type="string"), + ], + mode=NodeMode.PUBLISHED, + ) + assert revenue.name == "default.revenue" + assert "default.revenue" in client.namespace("default").sources() + + # dimension nodes + payment_type_dim = client.create_dimension( + name="default.payment_type", + description="Payment type dimension", + display_name="Payment Type", + query=( + "SELECT id, payment_type_name, payment_type_classification " + "FROM default.payment_type_table" + ), + primary_key=["id"], + mode=NodeMode.DRAFT, + tags=[foo_tag], + ) + payment_type_dim.validate() # pylint: disable=protected-access + assert payment_type_dim.name == "default.payment_type" + assert "default.payment_type" in client.list_dimensions(namespace="default") + assert [tag["name"] for tag in payment_type_dim.tags] == ["foo"] + payment_type_dim.publish() # Test changing a draft node to published + payment_type_dim.refresh() + assert payment_type_dim.mode == NodeMode.PUBLISHED + + account_type_dim = client.create_dimension( + name="default.account_type", + description="Account type dimension", + display_name="Account Type", + query=( + "SELECT id, account_type_name, " + "account_type_classification FROM " + "default.account_type_table" + ), + primary_key=["id"], + mode=NodeMode.PUBLISHED, + ) + assert account_type_dim.name == "default.account_type" + assert len(account_type_dim.columns) == 3 + assert "default.account_type" in client.list_dimensions(namespace="default") + + # transform nodes + large_revenue_payments_only = client.create_transform( + name="default.large_revenue_payments_only", + description="Only large revenue payments", + query=( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue WHERE payment_amount > 1000000" + ), + mode=NodeMode.PUBLISHED, + tags=[foo_tag], + custom_metadata={"foo": "bar"}, + ) + assert large_revenue_payments_only.name == "default.large_revenue_payments_only" + assert ( + "default.large_revenue_payments_only" + in client.namespace("default").transforms() + ) + assert len(large_revenue_payments_only.columns) == 4 + assert [tag["name"] for tag in large_revenue_payments_only.tags] == ["foo"] + assert large_revenue_payments_only.custom_metadata == {"foo": "bar"} + + client.transform("default.large_revenue_payments_only") + + result = large_revenue_payments_only.add_materialization( + Materialization( + job=MaterializationJobType.SPARK_SQL, + strategy=MaterializationStrategy.FULL, + schedule="0 * * * *", + config={}, + ), + ) + assert result == { + "message": "Successfully updated materialization config named `spark_sql__full` for " + "node `default.large_revenue_payments_only`", + "urls": [["http://fake.url/job"]], + } + + result = large_revenue_payments_only.deactivate_materialization( + materialization_name="spark_sql__full", + ) + assert result == { + "message": "Materialization named `spark_sql__full` on node " + "`default.large_revenue_payments_only` version `v1.0` has been successfully deactivated", + } + + large_revenue_payments_and_business_only = client.create_transform( + name="default.large_revenue_payments_and_business_only", + description="Only large revenue payments from business accounts", + query=( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue WHERE " + "default.large_revenue_payments_and_business_only > 1000000 " + "AND account_type='BUSINESS'" + ), + mode=NodeMode.PUBLISHED, + ) + assert ( + large_revenue_payments_and_business_only.name + == "default.large_revenue_payments_and_business_only" + ) + assert ( + "default.large_revenue_payments_and_business_only" + in client.namespace( + "default", + ).transforms() + ) + + # metric nodes + number_of_account_types = client.create_metric( + name="default.number_of_account_types", + description="Total number of account types", + query="SELECT count(id) FROM default.account_type", + mode=NodeMode.PUBLISHED, + ) + assert number_of_account_types.name == "default.number_of_account_types" + assert "default.number_of_account_types" in client.list_metrics( + namespace="default", + ) + assert number_of_account_types.required_dimensions is None + assert number_of_account_types.metric_metadata is None + assert [tag["name"] for tag in number_of_account_types.tags] == [] + + # Test updating metric node + number_of_account_types = client.create_metric( + name="default.number_of_account_types", + query="SELECT count(*) FROM default.account_type", + required_dimensions=["account_type_name"], + direction=MetricDirection.HIGHER_IS_BETTER, + unit=MetricUnit.UNITLESS, + tags=[foo_tag], + update_if_exists=True, + ) + assert number_of_account_types.name == "default.number_of_account_types" + assert number_of_account_types.required_dimensions == ["account_type_name"] + assert ( + number_of_account_types.metric_metadata["direction"] == "higher_is_better" + ) + assert number_of_account_types.metric_metadata["unit"]["name"] == "unitless" + + assert ( + number_of_account_types.query == "SELECT count(*) FROM default.account_type" + ) + assert number_of_account_types.description == "Total number of account types" + assert number_of_account_types.mode == "published" + assert [dim["name"] for dim in number_of_account_types.dimensions()] == [ + "default.account_type.account_type_classification", + "default.account_type.account_type_name", + "default.account_type.id", + ] + assert [tag["name"] for tag in number_of_account_types.tags] == ["foo"] + + # test setting required dims, direction, and unit at creation time (not update) + number_of_account_types2 = client.create_metric( + name="default.number_of_account_types2", + description="Total number of account types", + query="SELECT count(id) FROM default.account_type", + required_dimensions=["account_type_name"], + direction=MetricDirection.HIGHER_IS_BETTER, + unit=MetricUnit.UNITLESS, + tags=[foo_tag], + mode=NodeMode.PUBLISHED, + ) + assert number_of_account_types2.name == "default.number_of_account_types2" + assert number_of_account_types2.required_dimensions == ["account_type_name"] + assert ( + number_of_account_types2.metric_metadata["direction"] == "higher_is_better" + ) + assert number_of_account_types2.metric_metadata["unit"]["name"] == "unitless" + + # cube nodes + cube_one = client.create_cube( + name="default.cube_one", + description="Ice ice cube.", + metrics=["default.number_of_account_types"], + dimensions=["default.account_type.account_type_name"], + mode=NodeMode.PUBLISHED, + tags=[foo_tag], + ) + assert cube_one.name == "default.cube_one" + assert cube_one.status == "valid" + assert cube_one.metrics == ["default.number_of_account_types"] + assert [tag["name"] for tag in cube_one.tags] == ["foo"] + + # Test updating cube node + cube_one = client.create_cube( + name="default.cube_one", + description="Ice cubes!", + metrics=[ + "default.number_of_account_types", + "default.number_of_account_types2", + ], + dimensions=["default.account_type.account_type_name"], + mode=NodeMode.PUBLISHED, + tags=[], + update_if_exists=True, + ) + assert cube_one.name == "default.cube_one" + assert cube_one.description == "Ice cubes!" + assert cube_one.metrics == [ + "default.number_of_account_types", + "default.number_of_account_types2", + ] + assert [tag["name"] for tag in cube_one.tags] == [] + + def test_link_unlink_dimension(self, client): # pylint: disable=unused-argument + """ + Check that linking and unlinking dimensions to a node's column works + """ + repair_type = client.source("foo.bar.repair_type") + result = repair_type.link_dimension( + "contractor_id", + "foo.bar.contractor", + "contractor_id", + ) + assert result["message"] == ( + "The dimension link between foo.bar.repair_type and foo.bar.contractor " + "has been successfully updated." + ) + + # Unlink the dimension + result = repair_type.unlink_dimension( + "contractor_id", + "foo.bar.contractor", + "contractor_id", + ) + assert result["message"] == ( + "Dimension link foo.bar.contractor to node foo.bar.repair_type has been removed." + ) + + def test_link_complex_dimension(self, client): + """ + Check that linking complex dimensions to a node works as expected + """ + + repair_type = client.source("foo.bar.repair_type") + result = repair_type.link_complex_dimension( + dimension_node="foo.bar.contractor", + join_type="inner", + join_on="foo.bar.repair_type.contractor_id = foo.bar.contractor.contractor_id", + role="repair_contractor", + ) + assert result["message"] == ( + "Dimension node foo.bar.contractor has been " + "successfully linked to node foo.bar.repair_type." + ) + + # Unlink the dimension + result = repair_type.remove_complex_dimension_link( + dimension_node="foo.bar.contractor", + role="repair_contractor", + ) + assert result["message"] == ( + "Dimension link foo.bar.contractor (role repair_contractor) to " + "node foo.bar.repair_type has been removed." + ) + + def test_add_remove_reference_dimension_link(self, client): + """ + Check that adding a reference dimension link works as expected + """ + + repair_type = client.source("foo.bar.repair_type") + result = repair_type.add_reference_dimension_link( + node_column="contractor_id", + dimension_node="foo.bar.contractor", + dimension_column="contractor_id", + ) + assert result["message"] == ( + "foo.bar.repair_type.contractor_id has been successfully linked " + "to foo.bar.contractor.contractor_id" + ) + + # Unlink the dimension + result = repair_type.remove_reference_dimension_link( + node_column="contractor_id", + ) + assert result["message"] == ( + "The reference dimension link on foo.bar.repair_type.contractor_id has been removed." + ) + + def test_sql(self, client): # pylint: disable=unused-argument + """ + Check that getting sql via the client works as expected. + """ + + # Retrieve SQL for multiple metrics using the client object + result = client.sql( + metrics=["default.total_repair_cost", "default.avg_repair_price"], + dimensions=[ + "default.hard_hat.city", + "default.hard_hat.state", + "default.dispatcher.company_name", + ], + filters=["default.hard_hat.state = 'AZ'"], + dialect="spark", + ) + assert "SELECT" in result and "FROM" in result + + result = client.sql(metrics=["foo.bar.avg_repair_price"]) + assert "SELECT" in result and "FROM" in result + + # Test with orderby and limit parameters + result = client.sql( + metrics=["foo.bar.avg_repair_price"], + orderby=["foo.bar.avg_repair_price DESC"], + limit=10, + ) + assert "SELECT" in result and "FROM" in result + + def test_get_dimensions(self, client): + """ + Check that `metric.dimensions()` works as expected. + """ + metric = client.metric(node_name="foo.bar.avg_repair_price") + result = metric.dimensions() + assert { + "name": "foo.bar.dispatcher.company_name", + "type": "string", + "node_name": "foo.bar.dispatcher", + "node_display_name": "Dispatcher", + "properties": [], + "path": [ + "foo.bar.repair_order_details", + "foo.bar.repair_order", + ], + "filter_only": False, + } in result + + def test_create_namespace(self, client): + """ + Verifies that creating a new namespace works. + """ + with pytest.raises(DJClientException) as exc_info: + client.namespace(namespace="roads.demo") + assert "Namespace `roads.demo` does not exist" in str(exc_info.value) + + namespace = client.create_namespace(namespace="roads.demo") + assert namespace.namespace == "roads.demo" + + with pytest.raises(DJNamespaceAlreadyExists) as exc_info: + client.create_namespace(namespace="roads.demo") + assert "Namespace `roads.demo` already exists." in str(exc_info.value) + + def test_create_delete_restore_namespace(self, client): + """ + Verifies that deleting a new namespace works. + """ + # create it first + namespace = client.create_namespace(namespace="roads.demo.foo") + assert namespace.namespace == "roads.demo.foo" + with pytest.raises(DJNamespaceAlreadyExists) as exc_info: + client.create_namespace(namespace="roads.demo.foo") + assert "Namespace `roads.demo.foo` already exists." in str(exc_info.value) + + # then delete it + response = client.delete_namespace(namespace="roads.demo.foo") + assert response is None + with pytest.raises(DJClientException) as exc_info: + client.delete_namespace(namespace="roads.demo.foo") + assert "Namespace `roads.demo.foo` is already deactivated." in str( + exc_info.value, + ) + + # and then restore it + response = client.restore_namespace(namespace="roads.demo.foo") + assert response is None + with pytest.raises(DJClientException) as exc_info: + client.restore_namespace(namespace="roads.demo.foo") + assert "Node namespace `roads.demo.foo` already exists and is active" in str( + exc_info.value, + ) + + def test_get_node_revisions(self, client): + """ + Verifies that retrieving node revisions works + """ + local_hard_hats = client.dimension("foo.bar.local_hard_hats") + local_hard_hats.display_name = "local hard hats" + local_hard_hats.description = "Local hard hats dimension" + local_hard_hats.save() + local_hard_hats.primary_key = ["hard_hat_id", "last_name"] + local_hard_hats.save() + revs = local_hard_hats.list_revisions() + assert len(revs) == 3 + assert [rev["version"] for rev in revs] == ["v1.0", "v1.1", "v2.0"] + + def test_update_node_with_query(self, client): + """ + Verify that updating a node with a query works + """ + local_hard_hats = client.dimension("default.local_hard_hats") + local_hard_hats.query = """ + SELECT + hh.hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id, + hhs.state_id AS state_id + FROM default.hard_hats hh + LEFT JOIN default.hard_hat_state hhs + ON hh.hard_hat_id = hhs.hard_hat_id + WHERE hh.state_id = 'CA' + """ + response = local_hard_hats.save() + assert "WHERE hh.state_id = 'CA'" in response["query"] + assert response["version"] == "v2.0" + + local_hard_hats.display_name = "local hard hats" + local_hard_hats.description = "Local hard hats dimension" + response = local_hard_hats.save() + assert response["display_name"] == "local hard hats" + assert response["description"] == "Local hard hats dimension" + assert response["version"] == "v2.1" + + local_hard_hats.primary_key = ["hard_hat_id", "last_name"] + response = local_hard_hats.save() + + assert response["version"] == "v3.0" + assert { + "name": "hard_hat_id", + "type": "int", + "display_name": "Hard Hat Id", + "attributes": [ + {"attribute_type": {"namespace": "system", "name": "primary_key"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + } in response["columns"] + assert { + "name": "last_name", + "type": "string", + "display_name": "Last Name", + "attributes": [ + {"attribute_type": {"namespace": "system", "name": "primary_key"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + } in response["columns"] + + def test_update_custom_metadata(self, client): + """ + Verify that updating a node's custom metadata works. + """ + transform_node = client.transform("foo.bar.with_custom_metadata") + assert transform_node.custom_metadata == {"foo": "bar"} + + # update + transform_node.custom_metadata = {"bar": "baz"} + transform_node.save() + + # check again + transform_node_again = client.transform("foo.bar.with_custom_metadata") + assert transform_node_again.custom_metadata == {"bar": "baz"} + + def test_update_source_node(self, client): + """ + Verify that updating a source node's columns works + """ + us_states = client.source("default.us_states") + new_columns = [ + {"name": "state_id", "type": "int"}, + {"name": "name", "type": "string"}, + {"name": "abbr", "type": "string"}, + {"name": "region", "type": "int"}, + ] + us_states.columns = new_columns + response = us_states.save() + assert response["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "State Id", + "name": "state_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Name", + "name": "name", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Abbr", + "name": "abbr", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Region", + "name": "region", + "type": "int", + "partition": None, + }, + ] + assert response["version"] == "v2.0" + + def test_add_availability(self, client): + """ + Verify adding an availability state to a node + """ + dim = client.dimension(node_name="default.contractor") + response = dim.add_availability( + AvailabilityState( + catalog="default", + schema_="materialized", + table="contractor", + valid_through_ts=1688660209, + ), + ) + assert response == {"message": "Availability state successfully posted"} + + def test_set_column_attributes(self, client): + """ + Verify setting column attributes on a node + """ + dim = client.source(node_name="default.contractors") + response = dim.set_column_attributes( + "contact_title", + [ + ColumnAttribute( + name="dimension", + ), + ], + ) + assert response == [ + { + "attributes": [ + {"attribute_type": {"name": "dimension", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Contact Title", + "name": "contact_title", + "type": "string", + "partition": None, + }, + ] + + def test_set_column_display_name(self, client): + """ + Verify setting a column's display name + """ + dim = client.source(node_name="default.contractors") + response = dim.set_column_display_name( + "contact_title", + "My Contact's Title", + ) + assert response["display_name"] == "My Contact's Title" + + def test_set_column_description(self, client): + """ + Verify setting a column's description + """ + dim = client.source(node_name="default.contractors") + response = dim.set_column_description( + "contact_title", + "The title of my contact", + ) + assert response["description"] == "The title of my contact" + + # + # Tags + # + def test_creating_a_tag(self, client): + """ + Test creating a tag + """ + client.create_tag( + name="foo.one", + description="Foo Bar", + tag_type="test", + tag_metadata={"foo": "bar"}, + ) + tag = client.tag("foo.one") + assert tag.name == "foo.one" + assert tag.description == "Foo Bar" + assert tag.tag_type == "test" + assert tag.tag_metadata == {"foo": "bar"} + + def test_tag_already_exists(self, client): + """ + Test that the client raises properly when a tag already exists + """ + client.create_tag( + name="foo.two", + description="Foo Bar", + tag_type="test", + tag_metadata={"foo": "bar"}, + ) + # update if a tag exists + client.create_tag( + name="foo.two", + description="Foo Bar", + tag_type="test", + tag_metadata={"foo": "bar"}, + update_if_exists=True, + ) + # fail if a tag exists + with pytest.raises(DJTagAlreadyExists) as exc_info: + client.create_tag( + name="foo.two", + description="Foo Bar", + tag_type="test", + tag_metadata={"foo": "bar"}, + ) + assert "Tag `foo.two` already exists" in str(exc_info.value) + + def test_updating_a_tag(self, client): + """ + Test updating a tag + """ + client.create_tag( + name="foo.three", + description="Foo Bar", + tag_type="test", + tag_metadata={"foo": "bar"}, + ) + tag = client.tag("foo.three") + assert tag.name == "foo.three" + assert tag.description == "Foo Bar" + assert tag.tag_type == "test" + assert tag.tag_metadata == {"foo": "bar"} + tag.description = "This is an updated description." + tag.save() + # refresh the tag + repulled_tag = client.tag("foo.three") + repulled_tag.refresh() + assert repulled_tag.description == "This is an updated description." + + def test_tag_does_not_exist(self, client): + """ + Test that the client raises properly when a tag does not exist + """ + with pytest.raises(DJClientException) as exc_info: + client.tag("does-not-exist") + assert "Tag `does-not-exist` does not exist" in str(exc_info.value) + + def test_tag_a_node(self, client): + """ + Test that a node can be tagged properly + """ + client.create_tag( + name="foo.four", + description="Foo Bar", + tag_type="test", + tag_metadata={"foo": "bar"}, + ) + tag = client.tag("foo.four") + node = client.source("default.repair_orders") + node.tags.append(tag) + node.save() + repull_node = client.source("default.repair_orders") + assert [tag.to_dict() for tag in repull_node.tags] == [tag.to_dict()] + + def test_list_nodes_with_tags(self, client): + """ + Test that we can list nodes with tags. + """ + # create some tags + tag_foo = client.create_tag( + name="foo.five", + description="Foo", + tag_type="test", + tag_metadata={"foo": "bar"}, + ) + tag_bar = client.create_tag( + name="bar", + description="Bar", + tag_type="test", + tag_metadata={"foo": "bar"}, + ) + + # tag some nodes + node_one = client.source("default.repair_orders") + node_one.tags.append(tag_foo) + node_one.tags.append(tag_bar) + node_one.save() + + node_two = client.metric("default.num_repair_orders") + node_two.tags.append(tag_foo) + node_two.save() + + node_three = client.dimension("default.repair_order") + node_three.tags.append(tag_foo) + node_three.tags.append(tag_bar) + node_three.save() + + # list nodes with tags + nodes_with_foo = client.list_nodes_with_tags(tag_names=["foo.five"]) + nodes_with_foo_and_bar = client.list_nodes_with_tags( + tag_names=["bar", "foo.five"], + ) + + # evaluate + with pytest.raises(DJClientException): + client.list_nodes_with_tags(tag_names=["does-not-exist"]) + assert ( + client.list_nodes_with_tags(tag_names=["does-not-exist"], skip_missing=True) + == [] + ) + assert set(nodes_with_foo) == set( + [ + "default.repair_order", + "default.repair_orders", + "default.num_repair_orders", + ], + ) + assert set(nodes_with_foo_and_bar) == set( + ["default.repair_orders", "default.repair_order"], + ) diff --git a/datajunction-clients/python/tests/test_cli.py b/datajunction-clients/python/tests/test_cli.py new file mode 100644 index 000000000..4c4a65289 --- /dev/null +++ b/datajunction-clients/python/tests/test_cli.py @@ -0,0 +1,2003 @@ +"""Tests DJ CLI""" + +import json +import os +import re +import sys +from io import StringIO +from typing import Callable +from unittest import mock +from unittest.mock import patch + +import pytest + +from datajunction import DJBuilder +from datajunction.cli import main + + +# Test helper functions +def run_cli_command(builder_client, args, env_vars=None): + """ + Helper function to run a CLI command and capture output. + + Args: + builder_client: The DJBuilder client + args: List of command arguments (e.g., ["dj", "list", "metrics"]) + env_vars: Optional dict of environment variables + + Returns: + The captured stdout output as a string + """ + if env_vars is None: + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + main(builder_client=builder_client) + return mock_stdout.getvalue() + + +def assert_in_output(output, *expected_strings): + """Assert that all expected strings are in the output.""" + for expected in expected_strings: + assert expected in output, f"Expected '{expected}' not found in output" + + +def test_pull( + tmp_path, + builder_client: DJBuilder, # pylint: disable=redefined-outer-name +): + """ + Test `dj pull ` + """ + test_args = ["dj", "pull", "default", tmp_path.absolute().as_posix()] + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + assert len(os.listdir(tmp_path)) == 30 + + +def test_push_full( + tmp_path, + builder_client: DJBuilder, # pylint: disable=redefined-outer-name + change_to_project_dir: Callable, +): + """ + Test `dj push ` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + change_to_project_dir("./") + test_args = ["dj", "push", "./deploy0"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + results = builder_client.list_nodes(namespace="deps.deploy0") + assert len(results) == 6 + + test_args = ["dj", "push", "./deploy0", "--namespace", "deps.deploy0.main"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + results = builder_client.list_nodes(namespace="deps.deploy0.main") + assert len(results) == 6 + results = builder_client.list_nodes(namespace="deps.deploy0") + assert len(results) == 12 + + +def test_seed(): + """ + Test `dj seed` + """ + builder_client = mock.MagicMock() + + test_args = ["dj", "seed"] + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + func_names = [mock_call[0] for mock_call in builder_client.mock_calls] + assert "register_table" in func_names + assert "create_dimension" in func_names + assert "create_metric" in func_names + assert "dimension().link_complex_dimension" in func_names + + +def test_help(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test the '--help' output. + """ + test_args = ["dj", "--help"] + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + with pytest.raises(SystemExit) as excinfo: + main(builder_client=builder_client) + assert excinfo.value.code == 0 # Ensure exit code is 0 (success) + output = mock_stdout.getvalue() + assert "usage: dj" in output + assert "deploy" in output + assert "pull" in output + assert "delete-node" in output + assert "delete-namespace" in output + + +def test_invalid_command( + builder_client: DJBuilder, # pylint: disable=redefined-outer-name +): + """ + Test behavior for an invalid command. + """ + test_args = ["dj", "invalid_command"] + with patch.object(sys, "argv", test_args): + with pytest.raises(SystemExit): + main(builder_client=builder_client) + + +@pytest.mark.parametrize( + "object_type,expected_in_output", + [ + # dj list metrics + ("metrics", ["Metrics:", "Total:"]), + # dj list dimensions + ("dimensions", ["Dimensions:", "Total:"]), + # dj list namespaces + ("namespaces", ["Namespaces:", "default"]), + # dj list nodes + ("nodes", ["Nodes:", "Total:"]), + # dj list cubes + ("cubes", ["Cubes:", "Total:"]), + # dj list sources + ("sources", ["Sources:", "Total:"]), + # dj list transforms + ("transforms", ["Transforms:", "Total:"]), + ], +) +def test_list_objects( + builder_client: DJBuilder, + object_type: str, + expected_in_output: list, +): + """ + Test `dj list ` for various object types. + """ + output = run_cli_command(builder_client, ["dj", "list", object_type]) + assert_in_output(output, *expected_in_output) + + +@pytest.mark.parametrize( + "object_type,expected_in_output", + [ + # dj list metrics + ("metrics", ["ERROR: node namespace `na` does not exist"]), + # dj list dimensions + ("dimensions", ["ERROR: node namespace `na` does not exist"]), + # # dj list namespaces + ("namespaces", ["No namespaces found in `na`"]), + # dj list nodes + ("nodes", ["ERROR: node namespace `na` does not exist"]), + # dj list cubes + ("cubes", ["ERROR: node namespace `na` does not exist"]), + # dj list sources + ("sources", ["ERROR: node namespace `na` does not exist"]), + # dj list transforms + ("transforms", ["ERROR: node namespace `na` does not exist"]), + ], +) +def test_list_objects_none( + builder_client: DJBuilder, + object_type: str, + expected_in_output: list, +): + """ + Test `dj list ` for various object types. + """ + output = run_cli_command( + builder_client, + ["dj", "list", object_type, "--namespace", "na"], + ) + assert_in_output(output, *expected_in_output) + + +def test_list_json(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj list metrics --format json` + """ + output = run_cli_command( + builder_client, + ["dj", "list", "metrics", "--format", "json"], + ) + data = json.loads(output) + assert isinstance(data, list) + + +@pytest.mark.parametrize( + "command,node_name,expected_in_output", + [ + ("sql", "default.num_repair_orders", ["SELECT"]), + ( + "lineage", + "default.num_repair_orders", + ["Lineage for:", "Upstream dependencies", "Downstream dependencies"], + ), + ("dimensions", "default.num_repair_orders", ["Available dimensions for:"]), + ], +) +def test_node_commands( + builder_client: DJBuilder, + command: str, + node_name: str, + expected_in_output: list, +): # pylint: disable=redefined-outer-name + """ + Test various node-specific commands (sql, lineage, dimensions). + """ + output = run_cli_command(builder_client, ["dj", command, node_name]) + assert_in_output(output, *expected_in_output) + + +@pytest.mark.parametrize( + "command,node_name,format_type", + [ + # dj lineage default.num_repair_orders --format json + ("lineage", "default.num_repair_orders", "json"), + # dj dimensions default.num_repair_orders --format json + ("dimensions", "default.num_repair_orders", "json"), + # dj describe default.num_repair_orders --format json + ("describe", "default.num_repair_orders", "json"), + ], +) +def test_json_output_commands( + builder_client: DJBuilder, + command: str, + node_name: str, + format_type: str, +): # pylint: disable=redefined-outer-name + """ + Test JSON output format for various commands. + """ + output = run_cli_command( + builder_client, + ["dj", command, node_name, "--format", format_type], + ) + data = json.loads(output) + assert isinstance(data, (dict, list)) + + +@pytest.mark.parametrize( + "node_name,expected_in_output", + [ + ( + "default.repair_orders", + [ + "Node: default.repair_orders", + "Type:", + "Description:", + "Status:", + "Mode:", + "Display Name:", + "Columns:", + ], + ), + ( + "default.repair_orders_thin", + [ + "Node: default.repair_orders_thin", + "Type:", + "Description:", + "Status:", + "Mode:", + "Display Name:", + "Columns:", + ], + ), + ( + "default.hard_hat", + [ + "Node: default.hard_hat", + "Type:", + "Description:", + "Status:", + "Mode:", + "Display Name:", + "Columns:", + "Primary Key:", + ], + ), + ( + "default.num_repair_orders", + [ + "Node: default.num_repair_orders", + "Type:", + "Description:", + "Status:", + "Mode:", + "Display Name:", + "Version:", + ], + ), + ( + "default.cube_two", + [ + "Node: default.cube_two", + "Type:", + "Description:", + "Metrics:", + "Dimensions:", + ], + ), + ("default.none", ["ERROR: No node with name default.none exists"]), + ], +) +def test_describe(builder_client: DJBuilder, node_name: str, expected_in_output: list): # pylint: disable=redefined-outer-name + """ + Test `dj describe ` for various node types. + """ + output = run_cli_command(builder_client, ["dj", "describe", node_name]) + assert_in_output(output, *expected_in_output) + + +def test_list_metrics(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj list metrics` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + test_args = ["dj", "list", "metrics"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + main(builder_client=builder_client) + output = mock_stdout.getvalue() + assert "Metrics:" in output + assert "Total:" in output + + +def test_list_namespaces(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj list namespaces` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + test_args = ["dj", "list", "namespaces"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + main(builder_client=builder_client) + output = mock_stdout.getvalue() + assert "Namespaces:" in output + assert "default" in output + + +def test_sql(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj sql ` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + test_args = ["dj", "sql", "default.num_repair_orders"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + main(builder_client=builder_client) + output = mock_stdout.getvalue() + assert "SELECT" in output.upper() + + +def test_sql_with_dimensions(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj sql --dimensions dim1,dim2` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + test_args = [ + "dj", + "sql", + "default.num_repair_orders", + "--dimensions", + "default.hard_hat.city", + ] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + main(builder_client=builder_client) + output = mock_stdout.getvalue() + assert "SELECT" in output.upper() + + +def test_sql_with_metrics(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj sql --metrics m1 m2` using v3 API + """ + # Use metrics from the same parent node, or add a shared dimension + output = run_cli_command( + builder_client, + [ + "dj", + "sql", + "--metrics", + "default.num_repair_orders", + "default.avg_repair_price", + "--dimensions", + "default.hard_hat.city", + ], + ) + assert "SELECT" in output.upper() + + +def test_sql_with_metrics_and_dimensions( + builder_client: DJBuilder, +): # pylint: disable=redefined-outer-name + """ + Test `dj sql --metrics m1 --dimensions d1` using v3 API + """ + output = run_cli_command( + builder_client, + [ + "dj", + "sql", + "--metrics", + "default.num_repair_orders", + "--dimensions", + "default.hard_hat.city", + "--filters", + "default.hard_hat.state = 'NY'", + ], + ) + assert "SELECT" in output.upper() + + +def test_sql_no_node_or_metrics(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj sql` without node_name or --metrics shows error + """ + output = run_cli_command(builder_client, ["dj", "sql"]) + assert "ERROR" in output + + +def test_sql_with_error_response(builder_client: DJBuilder, capsys): + """ + Test `dj sql` handles error responses from API + """ + error_response = {"message": "Test error message from API"} + with patch.object(builder_client, "sql", return_value=error_response): + test_args = ["dj", "sql", "--metrics", "some.metric"] + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + captured = capsys.readouterr() + assert "ERROR" in captured.out + assert "Test error message from API" in captured.out + + +def test_lineage(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj lineage ` + """ + output = run_cli_command( + builder_client, + ["dj", "lineage", "default.num_repair_orders"], + ) + assert "Lineage for:" in output + assert "Upstream dependencies" in output + assert "Downstream dependencies" in output + + output = run_cli_command( + builder_client, + ["dj", "lineage", "default.num_repair_orders", "--direction", "upstream"], + ) + assert "Lineage for:" in output + assert "Upstream dependencies" in output + + output = run_cli_command( + builder_client, + ["dj", "lineage", "default.num_repair_orders", "--direction", "downstream"], + ) + assert "Lineage for:" in output + assert "Downstream dependencies" in output + + # cube nodes will have no downstreams + output = run_cli_command( + builder_client, + ["dj", "lineage", "default.cube_two", "--direction", "downstream"], + ) + assert "(none)" in output + + # source nodes will have no upstreams + output = run_cli_command( + builder_client, + ["dj", "lineage", "default.repair_orders", "--direction", "upstream"], + ) + assert "(none)" in output + + +def test_lineage_upstream(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj lineage --direction upstream` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + test_args = [ + "dj", + "lineage", + "default.num_repair_orders", + "--direction", + "upstream", + ] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + main(builder_client=builder_client) + output = mock_stdout.getvalue() + assert "Lineage for:" in output + assert "Upstream dependencies" in output + + +def test_lineage_json(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj lineage --format json` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + test_args = ["dj", "lineage", "default.num_repair_orders", "--format", "json"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + main(builder_client=builder_client) + output = mock_stdout.getvalue() + import json + + data = json.loads(output) + assert "node" in data + assert "upstream" in data + assert "downstream" in data + + +def test_dimensions(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj dimensions ` + """ + output = run_cli_command( + builder_client, + ["dj", "dimensions", "default.num_repair_orders"], + ) + assert "Available dimensions for:" in output + output = run_cli_command(builder_client, ["dj", "dimensions", "default.hard_hats"]) + assert "No dimensions available" in output + + +def test_dimensions_json(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj dimensions --format json` + """ + output = run_cli_command( + builder_client, + ["dj", "dimensions", "default.num_repair_orders", "--format", "json"], + ) + data = json.loads(output) + assert isinstance(data, list) + + +def test_data_with_metrics(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj data --metrics --dimensions ` + """ + output = run_cli_command( + builder_client, + [ + "dj", + "data", + "--metrics", + "default.avg_repair_price", + "--dimensions", + "default.hard_hat.city", + ], + ) + # Should show table output with data + assert "default.hard_hat.city" in output or "city" in output.lower() + assert "row" in output.lower() # Should show row count + + +def test_data_with_node(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj data --dimensions ` + """ + output = run_cli_command( + builder_client, + [ + "dj", + "data", + "default.avg_repair_price", + "--dimensions", + "default.hard_hat.city", + ], + ) + # Should show table output with data + assert "row" in output.lower() # Should show row count + + +def test_data_json_format(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj data --metrics --format json` + """ + output = run_cli_command( + builder_client, + [ + "dj", + "data", + "--metrics", + "default.avg_repair_price", + "--dimensions", + "default.hard_hat.city", + "--format", + "json", + ], + ) + # Strip ANSI escape codes + ansi_escape = re.compile(r"\x1b\[[0-9;]*[a-zA-Z]|\x1b\][^\x07]*\x07|\r") + clean_output = ansi_escape.sub("", output) + # Find the JSON array in the output (may have progress messages before it) + json_start = clean_output.find("[\n") + json_end = clean_output.rfind("]") + 1 + json_str = clean_output[json_start:json_end] + data = json.loads(json_str) + assert isinstance(data, list) + + +def test_data_csv_format(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj data --metrics --format csv` + """ + output = run_cli_command( + builder_client, + [ + "dj", + "data", + "--metrics", + "default.avg_repair_price", + "--dimensions", + "default.hard_hat.city", + "--format", + "csv", + ], + ) + # Should be CSV format with header + lines = output.strip().split("\n") + assert len(lines) >= 2 # Header + at least one data row + + +def test_data_no_args(builder_client: DJBuilder, capsys): # pylint: disable=redefined-outer-name + """ + Test `dj data` with no arguments shows error + """ + output = run_cli_command( + builder_client, + ["dj", "data"], + ) + assert "ERROR" in output + + +def test_data_with_error_response(builder_client: DJBuilder, capsys): + """ + Test `dj data` handles error responses from API (covers lines 805-807) + """ + error_response = {"message": "Test error message from data API"} + with patch.object(builder_client, "data", return_value=error_response): + test_args = ["dj", "data", "--metrics", "some.metric"] + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + captured = capsys.readouterr() + assert "ERROR" in captured.out + assert "Test error message from data API" in captured.out + + +def test_data_with_limit(builder_client: DJBuilder): # pylint: disable=redefined-outer-name + """ + Test `dj data` with explicit --limit flag (covers effective_limit usage) + """ + output = run_cli_command( + builder_client, + [ + "dj", + "data", + "--metrics", + "default.avg_repair_price", + "--dimensions", + "default.hard_hat.city", + "--limit", + "5", + ], + ) + # Should show results and row count + assert "row" in output.lower() + + +def test_data_shows_limit_message_when_results_equal_limit( + builder_client: DJBuilder, + capsys, +): + """ + Test that `dj data` shows limit message when results match the limit (covers lines 828-832) + """ + # Create a mock DataFrame-like object with exactly 5 rows (matching the limit) + mock_df = mock.MagicMock() + mock_df.columns = ["metric", "dimension"] + mock_df.__len__ = mock.MagicMock(return_value=5) + mock_df.iterrows = mock.MagicMock( + return_value=iter( + [ + (0, mock.MagicMock(values=[1, "a"])), + (1, mock.MagicMock(values=[2, "b"])), + (2, mock.MagicMock(values=[3, "c"])), + (3, mock.MagicMock(values=[4, "d"])), + (4, mock.MagicMock(values=[5, "e"])), + ], + ), + ) + + with patch.object(builder_client, "data", return_value=mock_df): + test_args = [ + "dj", + "data", + "--metrics", + "some.metric", + "--dimensions", + "some.dimension", + "--limit", + "5", + ] + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + captured = capsys.readouterr() + # Should show the limit message since results == limit + assert "limit: 5" in captured.out + + +def test_data_with_default_limit(): + """ + Test that `dj data` uses default limit of 1000 when not specified + """ + mock_builder = mock.MagicMock() + mock_builder.data = mock.MagicMock(return_value={"message": "test"}) + + test_args = [ + "dj", + "data", + "--metrics", + "some.metric", + ] + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=mock_builder) + + # Verify data was called with limit=1000 (the default) + mock_builder.data.assert_called_once() + call_kwargs = mock_builder.data.call_args[1] + assert call_kwargs.get("limit") == 1000 + + +def test_delete_node( + builder_client: DJBuilder, # pylint: disable=redefined-outer-name +): + """ + Test `dj delete-node ` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + + # Mock the delete_node method + with patch.object(builder_client, "delete_node") as mock_delete: + test_args = ["dj", "delete-node", "default.repair_orders"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify the node was called with soft delete + mock_delete.assert_called_once_with("default.repair_orders", hard=False) + + +def test_delete_node_hard( + builder_client: DJBuilder, # pylint: disable=redefined-outer-name +): + """ + Test `dj delete-node --hard` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + + # Mock the delete_node method + with patch.object(builder_client, "delete_node") as mock_delete: + test_args = ["dj", "delete-node", "default.repair_orders", "--hard"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify the node was called with hard delete + mock_delete.assert_called_once_with("default.repair_orders", hard=True) + + +def test_delete_namespace( + builder_client: DJBuilder, # pylint: disable=redefined-outer-name +): + """ + Test `dj delete-namespace ` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + + # Mock the delete_namespace method + with patch.object(builder_client, "delete_namespace") as mock_delete: + test_args = ["dj", "delete-namespace", "test_namespace"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify the namespace was called with correct parameters + mock_delete.assert_called_once_with( + "test_namespace", + cascade=False, + hard=False, + ) + + +def test_delete_namespace_cascade( + builder_client: DJBuilder, # pylint: disable=redefined-outer-name +): + """ + Test `dj delete-namespace --cascade` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + + # Mock the delete_namespace method + with patch.object(builder_client, "delete_namespace") as mock_delete: + test_args = ["dj", "delete-namespace", "test_namespace", "--cascade"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify the namespace was called with cascade + mock_delete.assert_called_once_with( + "test_namespace", + cascade=True, + hard=False, + ) + + +def test_delete_namespace_hard( + builder_client: DJBuilder, # pylint: disable=redefined-outer-name +): + """ + Test `dj delete-namespace --hard` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + + # Mock the delete_namespace method + with patch.object(builder_client, "delete_namespace") as mock_delete: + test_args = ["dj", "delete-namespace", "test_namespace", "--hard"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify the namespace was called with hard delete + mock_delete.assert_called_once_with( + "test_namespace", + cascade=False, + hard=True, + ) + + +def test_delete_namespace_cascade_hard( + builder_client: DJBuilder, # pylint: disable=redefined-outer-name +): + """ + Test `dj delete-namespace --cascade --hard` + """ + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + + # Mock the delete_namespace method + with patch.object(builder_client, "delete_namespace") as mock_delete: + test_args = ["dj", "delete-namespace", "test_namespace", "--cascade", "--hard"] + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify the namespace was called with both cascade and hard delete + mock_delete.assert_called_once_with( + "test_namespace", + cascade=True, + hard=True, + ) + + +class TestPushDeploymentSourceFlags: + """Tests for the deployment source CLI flags on push command.""" + + def test_push_help_shows_source_flags(self, builder_client: DJBuilder): + """Test that --help shows the new deployment source flags.""" + test_args = ["dj", "push", "--help"] + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + with pytest.raises(SystemExit) as excinfo: + main(builder_client=builder_client) + assert excinfo.value.code == 0 + output = mock_stdout.getvalue() + assert "--repo" in output + assert "--branch" in output + assert "--commit" in output + assert "--ci-system" in output + assert "--ci-run-url" in output + + def test_push_with_repo_flag_sets_env_var( + self, + builder_client: DJBuilder, + change_to_project_dir, + ): + """Test that --repo flag sets DJ_DEPLOY_REPO env var.""" + change_to_project_dir("./") + + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + test_args = [ + "dj", + "push", + "./deploy0", + "--repo", + "github.com/test/repo", + ] + + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + # Verify env var was set (check inside the patch.dict context) + assert os.environ.get("DJ_DEPLOY_REPO") == "github.com/test/repo" + + def test_push_with_all_source_flags_sets_env_vars( + self, + builder_client: DJBuilder, + change_to_project_dir, + ): + """Test that all source flags set corresponding env vars.""" + change_to_project_dir("./") + + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + } + test_args = [ + "dj", + "push", + "./deploy0", + "--namespace", + "source_flags_test", + "--repo", + "github.com/org/repo", + "--branch", + "main", + "--commit", + "abc123def", + "--ci-system", + "jenkins", + "--ci-run-url", + "https://jenkins.example.com/job/123", + ] + + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + # Verify all env vars were set (check inside the patch.dict context) + assert os.environ.get("DJ_DEPLOY_REPO") == "github.com/org/repo" + assert os.environ.get("DJ_DEPLOY_BRANCH") == "main" + assert os.environ.get("DJ_DEPLOY_COMMIT") == "abc123def" + assert os.environ.get("DJ_DEPLOY_CI_SYSTEM") == "jenkins" + assert ( + os.environ.get("DJ_DEPLOY_CI_RUN_URL") + == "https://jenkins.example.com/job/123" + ) + + def test_push_flags_override_existing_env_vars( + self, + builder_client: DJBuilder, + change_to_project_dir, + ): + """Test that CLI flags override existing env vars.""" + change_to_project_dir("./") + + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + "DJ_DEPLOY_REPO": "old-repo", + "DJ_DEPLOY_BRANCH": "old-branch", + } + test_args = [ + "dj", + "push", + "./deploy0", + "--namespace", + "override_test", + "--repo", + "new-repo", + "--branch", + "new-branch", + ] + + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + # CLI flags should override (check inside the patch.dict context) + assert os.environ.get("DJ_DEPLOY_REPO") == "new-repo" + assert os.environ.get("DJ_DEPLOY_BRANCH") == "new-branch" + + def test_push_without_flags_uses_existing_env_vars( + self, + builder_client: DJBuilder, + change_to_project_dir, + ): + """Test that push without flags respects existing env vars.""" + change_to_project_dir("./") + + env_vars = { + "DJ_USER": "datajunction", + "DJ_PWD": "datajunction", + "DJ_DEPLOY_REPO": "existing-repo", + "DJ_DEPLOY_BRANCH": "existing-branch", + } + test_args = ["dj", "push", "./deploy0", "--namespace", "existing_env_test"] + + with patch.dict(os.environ, env_vars, clear=False): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + # Existing env vars should remain unchanged (check inside the patch.dict context) + assert os.environ.get("DJ_DEPLOY_REPO") == "existing-repo" + assert os.environ.get("DJ_DEPLOY_BRANCH") == "existing-branch" + + +class TestImpactAnalysis: + """Tests for deployment impact analysis (dryrun).""" + + def test_deploy_dryrun_shows_impact( + self, + builder_client: DJBuilder, + change_to_project_dir, + capsys, + ): + """Test that deploy --dryrun shows impact analysis.""" + change_to_project_dir("./") + + # Use a unique namespace for this test + test_args = ["dj", "deploy", "./deploy0", "--dryrun"] + + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Check output contains impact analysis elements + captured = capsys.readouterr() + assert "Impact Analysis" in captured.out + assert "Direct Changes" in captured.out + + def test_deploy_dryrun_json_format( + self, + builder_client: DJBuilder, + change_to_project_dir, + capsys, + ): + """Test that deploy --dryrun --format json outputs JSON.""" + change_to_project_dir("./") + + test_args = ["dj", "deploy", "./deploy0", "--dryrun", "--format", "json"] + + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + captured = capsys.readouterr() + # Should be valid JSON + import json as json_module + + impact_data = json_module.loads(captured.out) + assert "namespace" in impact_data + assert "changes" in impact_data + assert "create_count" in impact_data + + def test_push_dryrun_shows_impact( + self, + builder_client: DJBuilder, + change_to_project_dir, + capsys, + ): + """Test that push --dryrun shows impact analysis.""" + change_to_project_dir("./") + + # Use push command with --dryrun flag + test_args = ["dj", "push", "./deploy0", "--dryrun"] + + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Check output contains impact analysis elements + captured = capsys.readouterr() + assert "Impact Analysis" in captured.out + assert "Direct Changes" in captured.out + + def test_push_dryrun_json_format( + self, + builder_client: DJBuilder, + change_to_project_dir, + capsys, + ): + """Test that push --dryrun --format json outputs JSON.""" + change_to_project_dir("./") + + test_args = ["dj", "push", "./deploy0", "--dryrun", "--format", "json"] + + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + captured = capsys.readouterr() + # Should be valid JSON + import json as json_module + + impact_data = json_module.loads(captured.out) + assert "namespace" in impact_data + assert "changes" in impact_data + assert "create_count" in impact_data + + def test_push_dryrun_with_namespace( + self, + builder_client: DJBuilder, + change_to_project_dir, + capsys, + ): + """Test that push --dryrun --namespace passes namespace to dryrun.""" + change_to_project_dir("./") + + # Use push command with --dryrun and --namespace flags + test_args = [ + "dj", + "push", + "./deploy0", + "--dryrun", + "--namespace", + "custom.namespace", + ] + + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Check output contains impact analysis (namespace is passed through) + captured = capsys.readouterr() + assert "Impact Analysis" in captured.out + + def test_display_impact_analysis_with_changes(self, capsys): + """Test display_impact_analysis function with various changes.""" + from datajunction.cli import display_impact_analysis + from rich.console import Console + + console = Console(force_terminal=True, no_color=True) + + impact = { + "namespace": "test.namespace", + "changes": [ + { + "name": "test.namespace.new_metric", + "operation": "create", + "node_type": "metric", + "changed_fields": [], + }, + { + "name": "test.namespace.updated_transform", + "operation": "update", + "node_type": "transform", + "changed_fields": ["query", "description"], + }, + { + "name": "test.namespace.unchanged_source", + "operation": "noop", + "node_type": "source", + "changed_fields": [], + }, + ], + "create_count": 1, + "update_count": 1, + "delete_count": 0, + "skip_count": 1, + "downstream_impacts": [ + { + "name": "other.namespace.downstream_node", + "node_type": "metric", + "current_status": "valid", + "predicted_status": "valid", + "impact_type": "may_affect", + "impact_reason": "Depends on test.namespace.updated_transform", + "depth": 1, + "caused_by": ["test.namespace.updated_transform"], + }, + ], + "will_invalidate_count": 0, + "may_affect_count": 1, + "warnings": [], + } + + display_impact_analysis(impact, console=console) + + captured = capsys.readouterr() + assert "test.namespace" in captured.out + assert "Create" in captured.out + assert "Update" in captured.out + assert "Skip" in captured.out + assert "May Affect" in captured.out + assert "Ready to deploy" in captured.out + + def test_display_impact_analysis_with_warnings(self, capsys): + """Test display_impact_analysis shows warnings.""" + from datajunction.cli import display_impact_analysis + from rich.console import Console + + console = Console(force_terminal=True, no_color=True) + + impact = { + "namespace": "test.namespace", + "changes": [ + { + "name": "test.namespace.source_with_column_change", + "operation": "update", + "node_type": "source", + "changed_fields": ["columns"], + "column_changes": [ + { + "column": "old_col", + "change_type": "removed", + }, + ], + }, + ], + "create_count": 0, + "update_count": 1, + "delete_count": 0, + "skip_count": 0, + "downstream_impacts": [ + { + "name": "other.downstream", + "node_type": "transform", + "current_status": "valid", + "predicted_status": "invalid", + "impact_type": "will_invalidate", + "impact_reason": "Uses removed column 'old_col'", + "depth": 1, + "caused_by": ["test.namespace.source_with_column_change"], + }, + ], + "will_invalidate_count": 1, + "may_affect_count": 0, + "warnings": [ + "Breaking change: Column 'old_col' removed from test.namespace.source_with_column_change", + ], + } + + display_impact_analysis(impact, console=console) + + captured = capsys.readouterr() + assert "Column Changes" in captured.out + assert "Removed" in captured.out + assert "Will Invalidate" in captured.out + assert "Breaking change" in captured.out + assert "Review the warnings" in captured.out + + def test_display_impact_analysis_no_changes(self, capsys): + """Test display_impact_analysis with empty deployment.""" + from datajunction.cli import display_impact_analysis + from rich.console import Console + + console = Console(force_terminal=True, no_color=True) + + impact = { + "namespace": "empty.namespace", + "changes": [], + "create_count": 0, + "update_count": 0, + "delete_count": 0, + "skip_count": 0, + "downstream_impacts": [], + "will_invalidate_count": 0, + "may_affect_count": 0, + "warnings": [], + } + + display_impact_analysis(impact, console=console) + + captured = capsys.readouterr() + assert "empty.namespace" in captured.out + assert "No downstream impact" in captured.out + assert "No warnings" in captured.out + assert "Ready to deploy" in captured.out + + def test_display_impact_analysis_with_delete_count(self, capsys): + """Test display_impact_analysis shows delete count in summary (covers line 92).""" + from datajunction.cli import display_impact_analysis + from rich.console import Console + import re + + console = Console(force_terminal=True, no_color=True) + + impact = { + "namespace": "test.namespace", + "changes": [ + { + "name": "test.namespace.deleted_node", + "operation": "delete", + "node_type": "transform", + "changed_fields": [], + }, + ], + "create_count": 0, + "update_count": 0, + "delete_count": 1, + "skip_count": 0, + "downstream_impacts": [], + "will_invalidate_count": 0, + "may_affect_count": 0, + "warnings": [], + } + + display_impact_analysis(impact, console=console) + + captured = capsys.readouterr() + # Strip ANSI codes for assertion + ansi_escape = re.compile(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])") + clean_output = ansi_escape.sub("", captured.out) + assert "1 delete" in clean_output + + def test_display_impact_analysis_with_type_changed_column(self, capsys): + """Test display_impact_analysis shows type_changed column details (covers line 138).""" + from datajunction.cli import display_impact_analysis + from rich.console import Console + import re + + console = Console(force_terminal=True, no_color=True) + + impact = { + "namespace": "test.namespace", + "changes": [ + { + "name": "test.namespace.source_node", + "operation": "update", + "node_type": "source", + "changed_fields": ["columns"], + "column_changes": [ + { + "column": "user_id", + "change_type": "type_changed", + "old_type": "INT", + "new_type": "BIGINT", + }, + ], + }, + ], + "create_count": 0, + "update_count": 1, + "delete_count": 0, + "skip_count": 0, + "downstream_impacts": [], + "will_invalidate_count": 0, + "may_affect_count": 0, + "warnings": [], + } + + display_impact_analysis(impact, console=console) + + captured = capsys.readouterr() + # Strip ANSI codes for assertion + ansi_escape = re.compile(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])") + clean_output = ansi_escape.sub("", captured.out) + assert "Column Changes" in clean_output + # "Type Changed" may be split across lines in the table, check for both parts + assert "Type" in clean_output + assert "Changed" in clean_output + assert "user_id" in clean_output + assert "INT" in clean_output + assert "BIGINT" in clean_output + + def test_display_impact_analysis_with_added_column(self, capsys): + """Test display_impact_analysis shows added column details (covers line 142).""" + from datajunction.cli import display_impact_analysis + from rich.console import Console + import re + + console = Console(force_terminal=True, no_color=True) + + impact = { + "namespace": "test.namespace", + "changes": [ + { + "name": "test.namespace.source_node", + "operation": "update", + "node_type": "source", + "changed_fields": ["columns"], + "column_changes": [ + { + "column": "new_column", + "change_type": "added", + }, + ], + }, + ], + "create_count": 0, + "update_count": 1, + "delete_count": 0, + "skip_count": 0, + "downstream_impacts": [], + "will_invalidate_count": 0, + "may_affect_count": 0, + "warnings": [], + } + + display_impact_analysis(impact, console=console) + + captured = capsys.readouterr() + # Strip ANSI codes for assertion + ansi_escape = re.compile(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])") + clean_output = ansi_escape.sub("", captured.out) + assert "Column Changes" in clean_output + assert "Added" in clean_output + assert "new_column" in clean_output + + def test_display_impact_analysis_with_downstream_but_no_impact_summary( + self, + capsys, + ): + """Test when downstream_impacts exists but no will_invalidate or may_affect (covers line 197->207).""" + from datajunction.cli import display_impact_analysis + from rich.console import Console + import re + + console = Console(force_terminal=True, no_color=True) + + # This tests the case where downstream_impacts is non-empty but + # will_invalidate_count and may_affect_count are both 0 + impact = { + "namespace": "test.namespace", + "changes": [ + { + "name": "test.namespace.node", + "operation": "update", + "node_type": "transform", + "changed_fields": ["description"], + }, + ], + "create_count": 0, + "update_count": 1, + "delete_count": 0, + "skip_count": 0, + "downstream_impacts": [ + { + "name": "other.downstream", + "node_type": "metric", + "current_status": "valid", + "predicted_status": "valid", + "impact_type": "no_impact", + "impact_reason": "No functional change", + "depth": 1, + "caused_by": ["test.namespace.node"], + }, + ], + "will_invalidate_count": 0, + "may_affect_count": 0, + "warnings": [], + } + + display_impact_analysis(impact, console=console) + + captured = capsys.readouterr() + # Strip ANSI codes for assertion + ansi_escape = re.compile(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])") + clean_output = ansi_escape.sub("", captured.out) + # Should NOT show "No downstream impact" since there are downstream_impacts + # But should NOT show any summary items since counts are 0 + assert "Downstream Impact" in clean_output + # The downstream summary line should not appear when both counts are 0 + assert "will invalidate" not in clean_output.lower() + assert "may be affected" not in clean_output.lower() + + def test_dryrun_with_exception(self, capsys): + """Test dryrun handles DJClientException properly (covers lines 276-286).""" + from unittest.mock import MagicMock + from datajunction.cli import DJCLI + from datajunction.exceptions import DJClientException + + mock_client = MagicMock() + cli = DJCLI(builder_client=mock_client) + + # Mock deployment_service.get_impact to raise exception + cli.deployment_service.get_impact = MagicMock( + side_effect=DJClientException({"message": "Test error message"}), + ) + + cli.dryrun("/fake/directory", format="text") + + captured = capsys.readouterr() + assert "ERROR" in captured.out + assert "Test error message" in captured.out + + def test_dryrun_with_exception_json_format(self, capsys): + """Test dryrun handles DJClientException with JSON format (covers lines 276-286).""" + from unittest.mock import MagicMock + from datajunction.cli import DJCLI + from datajunction.exceptions import DJClientException + + mock_client = MagicMock() + cli = DJCLI(builder_client=mock_client) + + # Mock deployment_service.get_impact to raise exception + cli.deployment_service.get_impact = MagicMock( + side_effect=DJClientException({"message": "JSON error message"}), + ) + + cli.dryrun("/fake/directory", format="json") + + captured = capsys.readouterr() + import json as json_module + + result = json_module.loads(captured.out) + assert "error" in result + assert result["error"] == "JSON error message" + + def test_dryrun_with_exception_string_error(self, capsys): + """Test dryrun handles DJClientException with string error.""" + from unittest.mock import MagicMock + from datajunction.cli import DJCLI + from datajunction.exceptions import DJClientException + + mock_client = MagicMock() + cli = DJCLI(builder_client=mock_client) + + # Mock deployment_service.get_impact to raise exception with string + cli.deployment_service.get_impact = MagicMock( + side_effect=DJClientException("Simple string error"), + ) + + cli.dryrun("/fake/directory", format="text") + + captured = capsys.readouterr() + assert "ERROR" in captured.out + assert "Simple string error" in captured.out + + def test_deploy_without_dryrun( + self, + builder_client, + change_to_project_dir, + ): + """Test deploy command without --dryrun flag (covers line 814).""" + change_to_project_dir("./") + + # deploy command without --dryrun should call push + test_args = ["dj", "deploy", "./deploy0"] + + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify nodes were deployed (push was called) + results = builder_client.list_nodes(namespace="deps.deploy0") + # deploy0 has 6 nodes, they should be deployed + assert len(results) >= 6 + + +class TestDJCLIClientCreation: + """Tests for DJCLI client creation from environment variables.""" + + def test_djcli_creates_client_from_dj_url_env_var(self, monkeypatch): + """Test DJCLI creates client from DJ_URL env var when builder_client is None (covers lines 245-246).""" + from datajunction.cli import DJCLI + + # Set DJ_URL environment variable + monkeypatch.setenv("DJ_URL", "http://test-server:9000") + + # Create DJCLI without passing builder_client + cli = DJCLI(builder_client=None) + + # Verify the client was created with the correct URL + assert cli.builder_client is not None + assert cli.builder_client.uri == "http://test-server:9000" + + def test_djcli_uses_default_url_when_env_not_set(self, monkeypatch): + """Test DJCLI uses localhost:8000 when DJ_URL is not set.""" + from datajunction.cli import DJCLI + + # Ensure DJ_URL is not set + monkeypatch.delenv("DJ_URL", raising=False) + + # Create DJCLI without passing builder_client + cli = DJCLI(builder_client=None) + + # Verify the client was created with the default URL + assert cli.builder_client is not None + assert cli.builder_client.uri == "http://localhost:8000" + + +class TestPlanCommand: + """Tests for the plan command.""" + + @pytest.fixture + def sample_plan(self): + """Sample plan response for testing.""" + return { + "dialect": "spark", + "requested_dimensions": ["default.hard_hat.city", "default.hard_hat.state"], + "grain_groups": [ + { + "parent_name": "default.repair_order_details", + "grain": ["default.hard_hat.city", "default.hard_hat.state"], + "aggregability": "full", + "metrics": [ + "default.num_repair_orders", + "default.total_repair_cost", + ], + "components": [ + { + "name": "default.num_repair_orders_count", + "expression": "COUNT(DISTINCT repair_order_id)", + "aggregation": "COUNT", + "merge": "SUM", + }, + { + "name": "default.total_repair_cost_sum", + "expression": "SUM(cost)", + "aggregation": "SUM", + "merge": "SUM", + }, + ], + "sql": "SELECT city, state, COUNT(DISTINCT repair_order_id) AS num_repair_orders_count\nFROM repair_orders\nGROUP BY city, state", + }, + ], + "metric_formulas": [ + { + "name": "default.num_repair_orders", + "combiner": "SUM(num_repair_orders_count)", + "components": ["default.num_repair_orders_count"], + "is_derived": False, + }, + { + "name": "default.total_repair_cost", + "combiner": "SUM(total_repair_cost_sum)", + "components": ["default.total_repair_cost_sum"], + "is_derived": False, + }, + ], + } + + def test_plan_text_output(self, builder_client, sample_plan, capsys): + """Test `dj plan --metrics ` with text output.""" + with patch.object(builder_client, "plan", return_value=sample_plan): + test_args = [ + "dj", + "plan", + "--metrics", + "default.num_repair_orders", + "default.total_repair_cost", + "--dimensions", + "default.hard_hat.city", + "default.hard_hat.state", + ] + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + captured = capsys.readouterr() + assert "Query Execution Plan" in captured.out + assert "Grain Groups" in captured.out + assert "Metric Formulas" in captured.out + assert "default.num_repair_orders" in captured.out + + def test_plan_json_output(self, builder_client, sample_plan, capsys): + """Test `dj plan --metrics --format json` with JSON output.""" + with patch.object(builder_client, "plan", return_value=sample_plan): + test_args = [ + "dj", + "plan", + "--metrics", + "default.num_repair_orders", + "--format", + "json", + ] + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + captured = capsys.readouterr() + data = json.loads(captured.out) + assert "dialect" in data + assert "grain_groups" in data + assert "metric_formulas" in data + assert data["dialect"] == "spark" + + def test_plan_with_filters(self, builder_client, sample_plan, capsys): + """Test `dj plan` with filters argument.""" + with patch.object( + builder_client, + "plan", + return_value=sample_plan, + ) as mock_plan: + test_args = [ + "dj", + "plan", + "--metrics", + "default.num_repair_orders", + "--filters", + "default.hard_hat.city = 'NYC'", + ] + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify plan was called with filters + mock_plan.assert_called_once_with( + metrics=["default.num_repair_orders"], + dimensions=[], + filters=["default.hard_hat.city = 'NYC'"], + dialect=None, + ) + + def test_plan_with_dialect(self, builder_client, sample_plan, capsys): + """Test `dj plan` with dialect argument.""" + with patch.object( + builder_client, + "plan", + return_value=sample_plan, + ) as mock_plan: + test_args = [ + "dj", + "plan", + "--metrics", + "default.num_repair_orders", + "--dialect", + "trino", + ] + with patch.dict( + os.environ, + {"DJ_USER": "datajunction", "DJ_PWD": "datajunction"}, + clear=False, + ): + with patch.object(sys, "argv", test_args): + main(builder_client=builder_client) + + # Verify plan was called with dialect + mock_plan.assert_called_once_with( + metrics=["default.num_repair_orders"], + dimensions=[], + filters=[], + dialect="trino", + ) + + def test_plan_help(self, builder_client): + """Test `dj plan --help` shows expected options.""" + test_args = ["dj", "plan", "--help"] + with patch.object(sys, "argv", test_args): + with patch("sys.stdout", new_callable=StringIO) as mock_stdout: + with pytest.raises(SystemExit) as excinfo: + main(builder_client=builder_client) + assert excinfo.value.code == 0 + output = mock_stdout.getvalue() + assert "--metrics" in output + assert "--dimensions" in output + assert "--filters" in output + assert "--dialect" in output + assert "--format" in output + + def test_print_plan_text_with_empty_grain_groups(self, capsys): + """Test _print_plan_text with empty grain groups.""" + from datajunction.cli import DJCLI + + mock_client = mock.MagicMock() + cli = DJCLI(builder_client=mock_client) + + plan = { + "dialect": "spark", + "requested_dimensions": [], + "grain_groups": [], + "metric_formulas": [], + } + + cli._print_plan_text(plan) + + captured = capsys.readouterr() + assert "Query Execution Plan" in captured.out + assert "Grain Groups (0)" in captured.out + assert "Metric Formulas (0)" in captured.out + + def test_print_plan_text_with_no_sql(self, capsys): + """Test _print_plan_text when grain group has no SQL.""" + from datajunction.cli import DJCLI + + mock_client = mock.MagicMock() + cli = DJCLI(builder_client=mock_client) + + plan = { + "dialect": "spark", + "requested_dimensions": ["dim1"], + "grain_groups": [ + { + "parent_name": "test.parent", + "grain": ["dim1"], + "aggregability": "full", + "metrics": ["metric1"], + "components": [], + "sql": "", # Empty SQL + }, + ], + "metric_formulas": [ + { + "name": "metric1", + "combiner": "SUM(comp1)", + "components": ["comp1"], + "is_derived": False, + }, + ], + } + + cli._print_plan_text(plan) + + captured = capsys.readouterr() + assert "Group 1: test.parent" in captured.out + # SQL panel should not appear for empty SQL + + def test_print_plan_text_with_derived_metric(self, capsys): + """Test _print_plan_text shows derived metric formula.""" + from datajunction.cli import DJCLI + + mock_client = mock.MagicMock() + cli = DJCLI(builder_client=mock_client) + + plan = { + "dialect": "spark", + "requested_dimensions": [], + "grain_groups": [], + "metric_formulas": [ + { + "name": "derived_metric", + "combiner": "metric1 / metric2", + "components": ["metric1", "metric2"], + "is_derived": True, + }, + ], + } + + cli._print_plan_text(plan) + + captured = capsys.readouterr() + assert "derived_metric" in captured.out + assert "metric1" in captured.out + assert "metric2" in captured.out + + def test_print_plan_text_with_component_no_merge(self, capsys): + """Test _print_plan_text when component has no merge function.""" + from datajunction.cli import DJCLI + + mock_client = mock.MagicMock() + cli = DJCLI(builder_client=mock_client) + + plan = { + "dialect": "spark", + "requested_dimensions": [], + "grain_groups": [ + { + "parent_name": "test.parent", + "grain": [], + "aggregability": "full", + "metrics": ["metric1"], + "components": [ + { + "name": "comp1", + "expression": "COUNT(*)", + "aggregation": "COUNT", + "merge": None, + }, + ], + "sql": "SELECT COUNT(*) FROM t", + }, + ], + "metric_formulas": [], + } + + cli._print_plan_text(plan) + + captured = capsys.readouterr() + assert "comp1" in captured.out + assert "COUNT(*)" in captured.out diff --git a/datajunction-clients/python/tests/test_client.py b/datajunction-clients/python/tests/test_client.py new file mode 100644 index 000000000..ae68aa961 --- /dev/null +++ b/datajunction-clients/python/tests/test_client.py @@ -0,0 +1,536 @@ +"""Tests DJ client""" + +import pandas +import pytest + +from datajunction import DJClient +from datajunction.exceptions import DJClientException +from datajunction.nodes import Cube, Dimension, Metric, Source, Transform + + +class TestDJClient: # pylint: disable=too-many-public-methods + """ + Tests for DJ client functionality. + """ + + @pytest.fixture + def client(self, module__session_with_examples): + """ + Returns a DJ client instance + """ + return DJClient(requests_session=module__session_with_examples) # type: ignore + + # + # List basic objects: namespaces, dimensions, metrics, cubes + # + def test_list_namespaces(self, client): + """ + Check that `client.list_namespaces()` works as expected. + """ + # full list + expected = ["default", "foo.bar"] + result = client.list_namespaces() + assert result == expected + + # partial list + partial = ["foo.bar"] + result = client.list_namespaces(prefix="foo") + assert result == partial + + def test_list_dimensions(self, client): + """ + Check that `client.list_dimensions()` works as expected. + """ + # full list + dims = client.list_dimensions() + assert set(dims) == { + "default.repair_order", + "default.contractor", + "default.hard_hat", + "default.local_hard_hats", + "default.us_state", + "default.dispatcher", + "default.municipality_dim", + "foo.bar.repair_order", + "foo.bar.contractor", + "foo.bar.hard_hat", + "foo.bar.local_hard_hats", + "foo.bar.us_state", + "foo.bar.dispatcher", + "foo.bar.municipality_dim", + } + + # partial list + dims = client.list_dimensions(namespace="foo.bar") + assert set(dims) == { + "foo.bar.repair_order", + "foo.bar.contractor", + "foo.bar.hard_hat", + "foo.bar.local_hard_hats", + "foo.bar.us_state", + "foo.bar.dispatcher", + "foo.bar.municipality_dim", + } + + def test_list_metrics(self, client): + """ + Check that `client.list_metrics()` works as expected. + """ + # full list + metrics = client.list_metrics() + assert set(metrics) == { + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.avg_length_of_employment", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + "foo.bar.num_repair_orders", + "foo.bar.avg_repair_price", + "foo.bar.total_repair_cost", + "foo.bar.avg_length_of_employment", + "foo.bar.total_repair_order_discounts", + "foo.bar.avg_repair_order_discounts", + "foo.bar.avg_time_to_dispatch", + } + + # partial list + metrics = client.list_metrics(namespace="foo.bar") + assert set(metrics) == { + "foo.bar.num_repair_orders", + "foo.bar.avg_repair_price", + "foo.bar.total_repair_cost", + "foo.bar.avg_length_of_employment", + "foo.bar.total_repair_order_discounts", + "foo.bar.avg_repair_order_discounts", + "foo.bar.avg_time_to_dispatch", + } + + def test_list_cubes(self, client): + """ + Check that `client.list_cubes()` works as expected. + """ + # full list + cubes = client.list_cubes() + assert set(cubes) == {"foo.bar.cube_one", "default.cube_two"} + + # partial list + cubes = client.list_cubes(namespace="foo.bar") + assert cubes == ["foo.bar.cube_one"] + + # + # List other nodes: sources, transforms, all. + # + def test_list_sources(self, client): + """ + Check that `client.list_sources()` works as expected. + """ + # full list + nodes = client.list_sources() + assert set(nodes) == { + "default.repair_orders", + "default.repair_orders_foo", + "default.repair_order_details", + "default.repair_type", + "default.contractors", + "default.municipality_municipality_type", + "default.municipality_type", + "default.municipality", + "default.dispatchers", + "default.hard_hats", + "default.hard_hat_state", + "default.us_states", + "default.us_region", + "foo.bar.repair_orders", + "foo.bar.repair_order_details", + "foo.bar.repair_type", + "foo.bar.contractors", + "foo.bar.municipality_municipality_type", + "foo.bar.municipality_type", + "foo.bar.municipality", + "foo.bar.dispatchers", + "foo.bar.hard_hats", + "foo.bar.hard_hat_state", + "foo.bar.us_states", + "foo.bar.us_region", + } + + # partial list + nodes = client.list_sources(namespace="foo.bar") + assert set(nodes) == { + "foo.bar.repair_orders", + "foo.bar.repair_order_details", + "foo.bar.repair_type", + "foo.bar.contractors", + "foo.bar.municipality_municipality_type", + "foo.bar.municipality_type", + "foo.bar.municipality", + "foo.bar.dispatchers", + "foo.bar.hard_hats", + "foo.bar.hard_hat_state", + "foo.bar.us_states", + "foo.bar.us_region", + } + + def test_list_transforms(self, client): + """ + Check that `client.list_transforms)()` works as expected. + """ + # full list + nodes = client.list_transforms() + assert set(nodes) == { + "default.repair_orders_thin", + "foo.bar.repair_orders_thin", + "foo.bar.with_custom_metadata", + } + + # partial list + nodes = client.list_transforms(namespace="foo.bar") + assert set(nodes) == { + "foo.bar.with_custom_metadata", + "foo.bar.repair_orders_thin", + } + + def test_list_nodes(self, client): + """ + Check that `client.list_nodes)()` works as expected. + """ + # full list + nodes = client.list_nodes() + assert set(nodes) == set( + [ + "default.repair_orders", + "default.repair_orders_foo", + "default.repair_order_details", + "default.repair_type", + "default.contractors", + "default.municipality_municipality_type", + "default.municipality_type", + "default.municipality", + "default.dispatchers", + "default.hard_hats", + "default.hard_hat_state", + "default.us_states", + "default.us_region", + "default.repair_order", + "default.contractor", + "default.hard_hat", + "default.local_hard_hats", + "default.us_state", + "default.dispatcher", + "default.municipality_dim", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.avg_length_of_employment", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + "foo.bar.repair_orders", + "foo.bar.repair_order_details", + "foo.bar.repair_type", + "foo.bar.contractors", + "foo.bar.municipality_municipality_type", + "foo.bar.municipality_type", + "foo.bar.municipality", + "foo.bar.dispatchers", + "foo.bar.hard_hats", + "foo.bar.hard_hat_state", + "foo.bar.us_states", + "foo.bar.us_region", + "foo.bar.repair_order", + "foo.bar.contractor", + "foo.bar.hard_hat", + "foo.bar.local_hard_hats", + "foo.bar.us_state", + "foo.bar.dispatcher", + "foo.bar.municipality_dim", + "foo.bar.num_repair_orders", + "foo.bar.avg_repair_price", + "foo.bar.total_repair_cost", + "foo.bar.avg_length_of_employment", + "foo.bar.total_repair_order_discounts", + "foo.bar.avg_repair_order_discounts", + "foo.bar.avg_time_to_dispatch", + "foo.bar.cube_one", + "default.cube_two", + "default.repair_orders_thin", + "foo.bar.repair_orders_thin", + "foo.bar.with_custom_metadata", + ], + ) + + # partial list + nodes = client.list_nodes(namespace="foo.bar") + assert set(nodes) == set( + [ + "foo.bar.repair_orders", + "foo.bar.repair_order_details", + "foo.bar.repair_type", + "foo.bar.contractors", + "foo.bar.municipality_municipality_type", + "foo.bar.municipality_type", + "foo.bar.municipality", + "foo.bar.dispatchers", + "foo.bar.hard_hats", + "foo.bar.hard_hat_state", + "foo.bar.us_states", + "foo.bar.us_region", + "foo.bar.repair_order", + "foo.bar.contractor", + "foo.bar.hard_hat", + "foo.bar.local_hard_hats", + "foo.bar.us_state", + "foo.bar.dispatcher", + "foo.bar.municipality_dim", + "foo.bar.num_repair_orders", + "foo.bar.avg_repair_price", + "foo.bar.total_repair_cost", + "foo.bar.avg_length_of_employment", + "foo.bar.total_repair_order_discounts", + "foo.bar.avg_repair_order_discounts", + "foo.bar.avg_time_to_dispatch", + "foo.bar.cube_one", + "foo.bar.repair_orders_thin", + "foo.bar.with_custom_metadata", + ], + ) + + def test_find_nodes_with_dimension(self, client): + """ + Check that `dimension.linked_nodes()` works as expected. + """ + repair_order_dim = client.dimension("default.repair_order") + assert set(repair_order_dim.linked_nodes()) == { + "default.repair_order_details", + "default.avg_repair_price", + "default.total_repair_cost", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + } + + def test_refresh_source_node(self, client): + """ + Check that `Source.validate()` works as expected. + """ + # change the source node + source_node = client.source("default.repair_orders_foo") + version_before = source_node.current_version + response = source_node.validate() + assert response == "valid" + version_after = source_node.current_version + assert version_before and version_after and version_before != version_after + + # change the source node (but not really) + source_node = client.source("default.repair_orders_foo") + version_before = source_node.current_version + response = source_node.validate() + assert response == "valid" + version_after = source_node.current_version + assert version_before and version_after and version_before == version_after + + # + # Get common metrics and dimensions + # + def test_common_dimensions(self, client): + """ + Test that getting common dimensions for metrics works + """ + dims = client.common_dimensions( + metrics=["default.num_repair_orders", "default.avg_repair_price"], + ) + assert len(dims) == 28 + + # + # SQL and data + # + def test_data(self, client): + """ + Test data retreval for a metric and dimension(s) + """ + # Should throw error when no name or metrics are passed in + with pytest.raises(DJClientException): + client.node_data("") + + with pytest.raises(DJClientException): + client.data([]) + + # Retrieve data for a single metric + expected_df = pandas.DataFrame.from_dict( + { + "default.hard_hat.city": ["Foo", "Bar"], + "default.avg_repair_price": [1.0, 2.0], + }, + ) + + result = client.data( + metrics=["default.avg_repair_price"], + dimensions=["default.hard_hat.city"], + ) + pandas.testing.assert_frame_equal(result, expected_df) + + # Retrieve data for a single node + result = client.node_data( + node_name="default.avg_repair_price", + dimensions=["default.hard_hat.city"], + ) + pandas.testing.assert_frame_equal(result, expected_df) + + # No data + with pytest.raises(DJClientException) as exc_info: + client.data( + metrics=["default.avg_repair_price"], + dimensions=["default.hard_hat.state"], + ) + assert "No data for query!" in str(exc_info) + + # Error propagation + # with pytest.raises(DJClientException) as exc_info: + # client.data( + # metrics=["default.avg_repair_price"], + # dimensions=["default.hard_hat.postal_code"], + # ) + # assert "Error response from query service" in str(exc_info) + + def test_sql(self, client): + """ + Test SQL retrieval + """ + # Retrieve sql for metrics + result = client.sql( + metrics=["default.avg_repair_price", "default.num_repair_orders"], + dimensions=["default.hard_hat.city"], + filters=["default.hard_hat.state = 'NY'"], + ) + assert isinstance(result, str) + + # Retrieve sql for a node + result = client.node_sql( + node_name="default.repair_order_details", + dimensions=["default.hard_hat.city"], + filters=["default.hard_hat.state = 'NY'"], + ) + assert isinstance(result, str) + + # Retrieve sql for a node (error) + result = client.node_sql( + node_name="default.repair_order_details12", + dimensions=["default.repair_order.repair_order_id"], + filters=["default.repair_order.repair_order_id = 1222"], + ) + assert result["message"] == ( + "A node with name `default.repair_order_details12` does not exist." + ) + + # Retrieve sql for invalid metric (error) + result = client.sql( + metrics=["default.nonexistent_metric"], + ) + assert isinstance(result, dict) + assert "message" in result or "detail" in result + + def test_plan(self, client): + """ + Test query execution plan retrieval + """ + # Retrieve plan for metrics + result = client.plan( + metrics=["default.avg_repair_price", "default.num_repair_orders"], + dimensions=["default.hard_hat.city"], + filters=["default.hard_hat.state = 'NY'"], + ) + assert isinstance(result, dict) + assert "grain_groups" in result + assert "metric_formulas" in result + assert "requested_dimensions" in result + + # Verify grain_groups structure + assert isinstance(result["grain_groups"], list) + for grain_group in result["grain_groups"]: + assert "parent_name" in grain_group + assert "grain" in grain_group + assert "sql" in grain_group + assert "components" in grain_group + + # Verify metric_formulas structure + assert isinstance(result["metric_formulas"], list) + for formula in result["metric_formulas"]: + assert "name" in formula + assert "combiner" in formula + assert "components" in formula + + # Test plan with invalid metric returns error + result = client.plan( + metrics=["default.nonexistent_metric"], + ) + assert "message" in result or "detail" in result + + # + # Data Catalog and Engines + # + def test_list_catalogs(self, client): + """ + Check that `client.list_catalogs()` works as expected. + """ + result = client.list_catalogs() + assert set(result) == {"dj_metadata", "draft", "default", "public"} + + def test_list_engines(self, client): + """ + Check that `client.list_engines()` works as expected. + """ + result = client.list_engines() + assert result == [ + {"name": "dj_system", "version": ""}, + {"name": "spark", "version": "3.1.1"}, + {"name": "postgres", "version": "15.2"}, + ] + + def test_get_dag(self, client): + """ + Check that `node.upstreams()`, `node.downstreams()`, and `node.dimensions()` + all work as expected + """ + num_repair_orders = client.metric("default.num_repair_orders") + result = num_repair_orders.get_upstreams() + assert result == ["default.repair_orders"] + result = num_repair_orders.get_downstreams() + assert result == ["default.cube_two"] + result = num_repair_orders.get_dimensions() + assert len(result) == 31 + + hard_hat = client.dimension("default.hard_hat") + result = hard_hat.get_upstreams() + assert result == ["default.hard_hats"] + result = hard_hat.get_downstreams() + assert result == [] + result = hard_hat.get_dimensions() + assert len(result) == 18 + + def test_get_node(self, client): + """ + Verifies that retrieving a node (of any type) works with: + dj.node() + """ + hard_hat = client.node("default.hard_hat") + assert isinstance(hard_hat, Dimension) + assert hard_hat.name == "default.hard_hat" + + num_repair_orders = client.node("default.num_repair_orders") + assert isinstance(num_repair_orders, Metric) + assert num_repair_orders.name == "default.num_repair_orders" + + repair_orders_thin = client.node("default.repair_orders_thin") + assert isinstance(repair_orders_thin, Transform) + assert repair_orders_thin.name == "default.repair_orders_thin" + + repair_orders = client.node("default.repair_orders") + assert isinstance(repair_orders, Source) + assert repair_orders.name == "default.repair_orders" + + cube_two = client.node("default.cube_two") + assert isinstance(cube_two, Cube) + assert cube_two.name == "default.cube_two" + assert cube_two.metrics == ["default.num_repair_orders"] + assert cube_two.dimensions == ["default.municipality_dim.local_region"] diff --git a/datajunction-clients/python/tests/test_compile.py b/datajunction-clients/python/tests/test_compile.py new file mode 100644 index 000000000..f4056c647 --- /dev/null +++ b/datajunction-clients/python/tests/test_compile.py @@ -0,0 +1,572 @@ +""" +Test YAML project related things +""" + +# pylint: disable=unused-argument +import os +from typing import Callable +from unittest.mock import MagicMock, call, patch + +import pytest +from fastapi.testclient import TestClient +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction import DJBuilder +from datajunction.compile import CompiledProject, Project, find_project_root +from datajunction.exceptions import DJClientException, DJDeploymentFailure +from datajunction.models import MetricDirection, MetricUnit, NodeMode + + +def test_compiled_project_deploy_namespaces(): + """ + Test deploying a namespace. + """ + mock_table = MagicMock() + cp = CompiledProject( + name="foo", + prefix="foo.fix", + root_path="/foo", + namespaces=["foo", "bar"], + ) + # namespace creation random error + builder_client = MagicMock( + create_namespace=MagicMock(side_effect=DJClientException("foo error")), + ) + cp._deploy_namespaces( # pylint: disable=protected-access + prefix="foo", + table=mock_table, + client=builder_client, + ) + assert cp.errors[0]["error"] == "foo error" + # namespace already exists, not an error + cp = CompiledProject( + name="foo", + prefix="foo.fix", + root_path="/foo", + namespaces=["foo", "bar"], + ) + builder_client = MagicMock( + create_namespace=MagicMock( + side_effect=DJClientException("foo bar already exists"), + ), + ) + cp._deploy_namespaces( # pylint: disable=protected-access + prefix="foo", + table=mock_table, + client=builder_client, + ) + assert cp.errors == [] + assert mock_table.add_row.call_args == call( + "foo.bar", + "namespace", + "[i][yellow]Namespace foo.bar already exists", + ) + + +def test_compiled_project__cleanup_namespace(): + """ + Test cleaning up a namespace. + """ + cp = CompiledProject( + name="foo", + prefix="foo.fix", + mode=NodeMode.DRAFT, + root_path="/foo", + ) + builder_client = MagicMock( + delete_namespace=MagicMock(side_effect=DJClientException("foo error")), + ) + cp._cleanup_namespace( # pylint: disable=protected-access + prefix="foo", + client=builder_client, + ) + assert cp.errors[0]["error"] == "foo error" + + +@patch("datajunction.compile.os.path.isdir", MagicMock(return_value=False)) +def test_find_project_root(): + """ + Test finding the project root + """ + with pytest.raises(DJClientException) as exc_info: + find_project_root(directory="foo") + assert "Directory foo does not exist" in str(exc_info) + + +def test_compile_loading_a_project(change_to_project_dir: Callable): + """ + Test loading a project + """ + change_to_project_dir("project1") + project = Project.load_current() + assert project.name == "My DJ Project 1" + assert project.prefix == "projects.project1" + assert project.tags[0].name == "deprecated" + assert project.build.priority == [ + "roads.date", + "roads.date_dim", + "roads.repair_orders", + "roads.repair_order_transform", + "roads.repair_order_details", + "roads.contractors", + "roads.hard_hats", + "roads.hard_hat_state", + "roads.us_states", + "roads.us_region", + "roads.dispatchers", + "roads.municipality", + "roads.municipality_municipality_type", + "roads.municipality_type", + ] + assert project.mode == NodeMode.PUBLISHED + assert project.root_path.endswith("project1") + + +def test_load_project_from_different_dir(change_to_project_dir: Callable): + """ + Test loading a project + """ + change_to_project_dir("./") + project = Project.load("./project1") + assert project.name == "My DJ Project 1" + assert project.prefix == "projects.project1" + assert project.tags[0].name == "deprecated" + assert project.build.priority == [ + "roads.date", + "roads.date_dim", + "roads.repair_orders", + "roads.repair_order_transform", + "roads.repair_order_details", + "roads.contractors", + "roads.hard_hats", + "roads.hard_hat_state", + "roads.us_states", + "roads.us_region", + "roads.dispatchers", + "roads.municipality", + "roads.municipality_municipality_type", + "roads.municipality_type", + ] + assert project.mode == NodeMode.PUBLISHED + assert project.root_path.endswith("project1") + + +def test_compile_loading_a_project_from_a_nested_dir(change_to_project_dir: Callable): + """ + Test loading a project while in a nested directory + """ + change_to_project_dir("project1") + os.chdir(os.path.join(os.getcwd(), "roads")) + project = Project.load_current() + assert project.name == "My DJ Project 1" + assert project.prefix == "projects.project1" + assert project.tags[0].name == "deprecated" + assert project.build.priority == [ + "roads.date", + "roads.date_dim", + "roads.repair_orders", + "roads.repair_order_transform", + "roads.repair_order_details", + "roads.contractors", + "roads.hard_hats", + "roads.hard_hat_state", + "roads.us_states", + "roads.us_region", + "roads.dispatchers", + "roads.municipality", + "roads.municipality_municipality_type", + "roads.municipality_type", + ] + assert project.mode == NodeMode.PUBLISHED + assert project.root_path.endswith("project1") + + +def test_compile_loading_a_project_from_a_flat_dir(change_to_project_dir: Callable): + """ + Test loading a project where everythign is flat (no sub-directories) + """ + change_to_project_dir("project11") + project = Project.load_current() + assert project.name == "My DJ Project 11" + assert project.prefix == "projects.project11" + assert project.tags[0].name == "deprecated" + assert project.build.priority == [ + "roads.date", + "roads.date_dim", + "roads.repair_orders", + "roads.repair_order_transform", + "roads.repair_order_details", + "roads.contractors", + "roads.hard_hats", + "roads.hard_hat_state", + "roads.us_states", + "roads.us_region", + "roads.dispatchers", + "roads.municipality", + "roads.municipality_municipality_type", + "roads.municipality_type", + ] + assert project.mode == NodeMode.PUBLISHED + assert project.root_path.endswith("project11") + + +def test_compile_raising_when_not_in_a_project_dir(): + """ + Test raising when using Project.load_current() while not in a project dir + """ + with pytest.raises(DJClientException) as exc_info: + Project.load_current() + assert ( + "Cannot find project root, make sure you've defined a project in a dj.yaml file" + ) in str(exc_info.value) + + +def test_compile_compiling_a_project(change_to_project_dir: Callable): + """ + Test loading and compiling a project + """ + change_to_project_dir("project1") + project = Project.load_current() + compiled_project = project.compile() + assert compiled_project.name == "My DJ Project 1" + assert compiled_project.prefix == "projects.project1" + assert compiled_project.mode == NodeMode.PUBLISHED + assert compiled_project.build.priority == [ + "roads.date", + "roads.date_dim", + "roads.repair_orders", + "roads.repair_order_transform", + "roads.repair_order_details", + "roads.contractors", + "roads.hard_hats", + "roads.hard_hat_state", + "roads.us_states", + "roads.us_region", + "roads.dispatchers", + "roads.municipality", + "roads.municipality_municipality_type", + "roads.municipality_type", + ] + assert compiled_project.root_path.endswith("project1") + assert not compiled_project.validated + + +def test_compile_validating_a_project( + change_to_project_dir: Callable, + builder_client: DJBuilder, +): + """ + Test loading, compiling, and validating a project + """ + change_to_project_dir("project1") + project = Project.load_current() + compiled_project = project.compile() + compiled_project.validate(client=builder_client, with_cleanup=True) + + +def test_compile_deploying_a_project( + change_to_project_dir: Callable, + builder_client: DJBuilder, + module__session_with_examples: TestClient, +): + """ + Test loading, compiling, validating, and deploying a project + """ + change_to_project_dir("project1") + project = Project.load_current() + compiled_project = project.compile() + compiled_project.deploy(client=builder_client) # Deploying will validate as well + + # Check complex join dimension links + hard_hat = builder_client._session.get( # pylint: disable=protected-access + "/nodes/projects.project1.roads.hard_hat", + ).json() + assert [link["dimension"]["name"] for link in hard_hat["dimension_links"]] == [ + "projects.project1.roads.us_state", + "projects.project1.roads.date_dim", + "projects.project1.roads.date_dim", + ] + + # Check reference dimension links + local_hard_hats = builder_client._session.get( # pylint: disable=protected-access + "/nodes/projects.project1.roads.local_hard_hats", + ).json() + assert [ + link["dimension"]["name"] for link in local_hard_hats["dimension_links"] + ] == ["projects.project1.roads.us_state"] + # assert [ + # col["dimension"]["name"] + # for col in local_hard_hats["columns"] + # if col["name"] == "birth_date" + # ] == ["projects.project1.roads.date_dim"] + + # Check metric metadata and required dimensions + avg_repair_price = builder_client.metric("projects.project1.roads.avg_repair_price") + assert avg_repair_price.metric_metadata is not None + assert avg_repair_price.metric_metadata.unit == MetricUnit.DOLLAR + assert ( + avg_repair_price.metric_metadata.direction == MetricDirection.HIGHER_IS_BETTER + ) + avg_length = builder_client.metric( + "projects.project1.roads.avg_length_of_employment", + ) + assert avg_length.required_dimensions == ["hard_hat_id"] + assert avg_length.metric_metadata is not None + assert avg_length.metric_metadata.unit == MetricUnit.SECOND + assert avg_length.metric_metadata.direction == MetricDirection.HIGHER_IS_BETTER + + # Check column-level settings + response = module__session_with_examples.get( + "/nodes/projects.project1.roads.contractor", + ).json() + assert response["columns"][1]["display_name"] == "Contractor Company Name" + response = module__session_with_examples.get( + "/nodes/projects.project1.roads.regional_level_agg", + ).json() + assert response["columns"][2]["display_name"] == "Location (Hierarchy)" + assert response["columns"][2]["description"] == "The hierarchy of the location" + assert response["columns"][2]["attributes"] == [ + {"attribute_type": {"namespace": "system", "name": "dimension"}}, + ] + + # check custom metadata + national_level_agg = builder_client.transform( + "projects.project1.roads.national_level_agg", + ) + assert national_level_agg.custom_metadata == { + "level": "national", + "sublevel": "state", + } + + +def test_compile_redeploying_a_project( + change_to_project_dir: Callable, + builder_client: DJBuilder, +): + """ + Test deploying and then redeploying a project + """ + change_to_project_dir("project12") + project = Project.load_current() + compiled_project = project.compile() + compiled_project.deploy(client=builder_client) + compiled_project.deploy(client=builder_client) + + +def test_compile_raising_on_invalid_table_name( + change_to_project_dir: Callable, +): + """ + Test raising when a table name is missing a catalog + """ + change_to_project_dir("project2") + project = Project.load_current() + with pytest.raises(DJClientException) as exc_info: + project.compile() + assert "Invalid" in str(exc_info.value) + + +def test_compile_raising_on_invalid_file_name( + change_to_project_dir: Callable, +): + """ + Test raising when a YAML file is missing a required node type identifier + """ + change_to_project_dir("project3") + project = Project.load_current() + with pytest.raises(DJClientException) as exc_info: + project.compile() + assert ( + "Invalid node definition filename some_node, node definition filename " + "must end with a node type i.e. my_node.source.yaml" + ) in str(exc_info.value) + + change_to_project_dir("project5") + project = Project.load_current() + with pytest.raises(DJClientException) as exc_info: + project.compile() + assert ( + "Invalid node definition filename stem some_node.a.b.c, stem must only have a " + "single dot separator and end with a node type i.e. my_node.source.yaml" + ) in str(exc_info.value) + + +def test_compile_error_on_invalid_dimension_link( + change_to_project_dir: Callable, + builder_client: DJBuilder, +): + """ + Test compiling and receiving an error on a dimension link + """ + change_to_project_dir("project7") + project = Project.load_current() + compiled_project = project.compile() + with pytest.raises(DJDeploymentFailure) as exc_info: + compiled_project.deploy(client=builder_client) + + assert str("Node definition contains references to nodes that do not exist") in str( + exc_info.value.errors[0], + ) + + +def test_compile_deeply_nested_namespace( + change_to_project_dir: Callable, + builder_client: DJBuilder, +): + """ + Test compiling a node in a deeply nested namespace + """ + change_to_project_dir("project4") + project = Project.load_current() + compiled_project = project.compile() + compiled_project.deploy(client=builder_client) + + +def test_compile_error_on_individual_node( + change_to_project_dir: Callable, + builder_client: DJBuilder, +): + """ + Test compiling and receiving an error on an individual node definition + """ + change_to_project_dir("project6") + project = Project.load_current() + compiled_project = project.compile() + with pytest.raises(DJDeploymentFailure) as exc_info: + compiled_project.deploy(client=builder_client) + + assert str("Node definition contains references to nodes that do not exist") in str( + exc_info.value.errors[0], + ) + + +def test_compile_raise_on_priority_with_node_missing_a_definition( + change_to_project_dir: Callable, +): + """ + Test raising an error when the priority list includes a node name + that has no corresponding definition + """ + change_to_project_dir("project8") + project = Project.load_current() + with pytest.raises(DJClientException) as exc_info: + project.compile() + + assert str( + "Build priority list includes node name " + "node.that.does.not.exist which has no corresponding definition", + ) in str(exc_info.value) + + +def test_compile_duplicate_tags( + change_to_project_dir: Callable, + builder_client: DJBuilder, +): + """ + Test that deploying duplicate tags are gracefully handled + """ + change_to_project_dir("project10") + project = Project.load_current() + compiled_project = project.compile() + compiled_project.deploy(client=builder_client) + compiled_project.deploy(client=builder_client) + + +@pytest.mark.asyncio +@pytest.mark.skip +async def test_deploy_remove_dimension_links( + change_to_project_dir: Callable, + builder_client: DJBuilder, + module__session: AsyncSession, + module__session_with_examples: TestClient, +): + """ + Test deploying nodes with dimension links removed + """ + change_to_project_dir("project9") + project = Project.load_current() + compiled_project = project.compile() + compiled_project.deploy(client=builder_client) + await module__session.commit() + response = module__session_with_examples.get( + "/nodes/projects.project7.roads.contractor", + ).json() + assert response["dimension_links"][0]["dimension"] == { + "name": "projects.project7.roads.us_state", + } + + change_to_project_dir("project12") + project = Project.load_current() + compiled_project = project.compile() + compiled_project.deploy(client=builder_client) + await module__session.commit() + response = module__session_with_examples.get( + "/nodes/projects.project7.roads.contractor", + ).json() + assert response["dimension_links"] == [] + + +def test_compile_pull_a_namespaces(builder_client: DJBuilder, tmp_path): + """ + Test pulling a namespace down into a local YAML project + """ + # Link a dimension so that we can test that path + node = builder_client.source("default.repair_order_details") + node.link_dimension(column="repair_order_id", dimension="default.repair_order") + + os.chdir(tmp_path) + Project.pull(client=builder_client, namespace="default", target_path=tmp_path) + project = Project.load_current() + assert project.name == "Project default (Autogenerated)" + assert project.prefix == "default" + compiled_project = project.compile() + + # The cube should be last in the topological ordering + assert compiled_project.build.priority[-1] == "cube_two" + + assert {node.name for node in compiled_project.definitions} == { + "municipality_municipality_type", + "contractors", + "hard_hats", + "municipality", + "repair_order_details", + "municipality_type", + "repair_type", + "us_states", + "dispatchers", + "hard_hat_state", + "repair_orders", + "repair_orders_foo", + "us_region", + "repair_orders_thin", + "repair_order", + "municipality_dim", + "dispatcher", + "contractor", + "local_hard_hats", + "us_state", + "hard_hat", + "total_repair_order_discounts", + "avg_repair_order_discounts", + "avg_time_to_dispatch", + "avg_length_of_employment", + "total_repair_cost", + "num_repair_orders", + "avg_repair_price", + "cube_two", + } + + +def test_compile_pull_raise_error_if_dir_not_empty(builder_client: DJBuilder, tmp_path): + """ + Test raising an error when pulling a namespace down into a non-empty directory + """ + os.chdir(tmp_path) + open( # pylint: disable=consider-using-with + "random_file.txt", + "w", + encoding="utf-8", + ).close() + with pytest.raises(DJClientException) as exc_info: + Project.pull(client=builder_client, namespace="default", target_path=tmp_path) + assert "The target path must be empty" in str(exc_info.value) diff --git a/datajunction-clients/python/tests/test_deploy.py b/datajunction-clients/python/tests/test_deploy.py new file mode 100644 index 000000000..9ca677080 --- /dev/null +++ b/datajunction-clients/python/tests/test_deploy.py @@ -0,0 +1,444 @@ +import io +from pathlib import Path +import time +from unittest import mock +import pytest +from unittest.mock import MagicMock +from datajunction.deployment import DeploymentService +from datajunction.exceptions import DJClientException +import yaml +from rich.console import Console + + +def test_clean_dict_removes_nones_and_empty(): + dirty = { + "a": None, + "b": [], + "c": {}, + "d": {"x": None, "y": {"z": []}, "k": "keep"}, + "e": [1, 2], + } + cleaned = DeploymentService.clean_dict(dirty) + assert cleaned == {"d": {"k": "keep"}, "e": [1, 2]} + + +def test_filter_node_for_export_removes_columns_without_customizations(): + """Columns without meaningful customizations should be removed.""" + node = { + "name": "test.node", + "query": "SELECT * FROM foo", + "columns": [ + # Should be kept: has custom display_name + {"name": "user_id", "type": "INT", "display_name": "User ID"}, + # Should be removed: display_name same as name + {"name": "created_at", "type": "TIMESTAMP", "display_name": "created_at"}, + # Should be kept: has attributes + {"name": "id", "type": "BIGINT", "attributes": ["primary_key"]}, + # Should be removed: no customizations + {"name": "plain_col", "type": "VARCHAR"}, + # Should be kept: has description + {"name": "desc_col", "type": "TEXT", "description": "A useful column"}, + ], + } + + filtered = DeploymentService.filter_node_for_export(node) + + # Only columns with customizations should remain + assert len(filtered["columns"]) == 3 + + # Type should be excluded from all columns + for col in filtered["columns"]: + assert "type" not in col + + # Check correct columns were kept + col_names = [c["name"] for c in filtered["columns"]] + assert "user_id" in col_names + assert "id" in col_names + assert "desc_col" in col_names + assert "created_at" not in col_names + assert "plain_col" not in col_names + + +def test_filter_node_for_export_removes_columns_key_when_empty(): + """If no columns have customizations, the columns key should be removed.""" + node = { + "name": "test.node", + "query": "SELECT * FROM foo", + "columns": [ + {"name": "a", "type": "INT"}, + {"name": "b", "type": "VARCHAR", "display_name": "b"}, # same as name + ], + } + + filtered = DeploymentService.filter_node_for_export(node) + + assert "columns" not in filtered + + +def test_filter_node_for_export_always_removes_columns_for_cubes(): + """Cube columns should always be removed - they're inferred from metrics/dimensions.""" + node = { + "name": "test.cube", + "node_type": "cube", + "metrics": ["test.metric1", "test.metric2"], + "dimensions": ["test.dim1"], + "columns": [ + {"name": "metric1", "type": "BIGINT"}, + {"name": "dim1", "type": "VARCHAR", "display_name": "Dimension 1"}, + ], + } + + filtered = DeploymentService.filter_node_for_export(node) + + # Columns should be removed regardless of customizations + assert "columns" not in filtered + # Other fields should remain + assert filtered["metrics"] == ["test.metric1", "test.metric2"] + assert filtered["dimensions"] == ["test.dim1"] + + +def test_pull_writes_yaml_files(tmp_path): + # fake client returning a minimal deployment spec + client = MagicMock() + client._export_namespace_spec.return_value = { + "namespace": "foo.bar", + "nodes": [ + {"name": "foo.bar.baz", "query": "SELECT 1"}, + {"name": "foo.bar.qux", "query": "SELECT 2"}, + ], + } + svc = DeploymentService(client) + + svc.pull("foo.bar", tmp_path) + + # project-level yaml + project_yaml = yaml.safe_load((tmp_path / "dj.yaml").read_text()) + assert project_yaml["namespace"] == "foo.bar" + + # node files + baz_file = tmp_path / "foo" / "bar" / "baz.yaml" + assert baz_file.exists() + assert yaml.safe_load(baz_file.read_text())["query"] == "SELECT 1" + + qux_file = tmp_path / "foo" / "bar" / "qux.yaml" + assert qux_file.exists() + + +def test_pull_raises_if_target_not_empty(tmp_path): + (tmp_path / "something.txt").write_text("not empty") + client = MagicMock() + svc = DeploymentService(client) + with pytest.raises(DJClientException): + svc.pull("ns", tmp_path) + + +def test_build_table_has_expected_columns(): + tbl = DeploymentService.build_table( + "abc-123", + { + "namespace": "some.namespace", + "status": "success", + "results": [ + { + "deploy_type": "node", + "name": "some.random.node", + "operation": "create", + "status": "success", + "message": "ok", + }, + ], + }, + ) + cols = [c.header for c in tbl.columns] + assert cols == ["Type", "Name", "Operation", "Status", "Message"] + row_values = [col._cells[0] for col in tbl.columns] + assert row_values == [ + "node", + "some.random.node", + "create", + "[bold green]success[/bold green]", + "[gray]ok[/gray]", + ] + + +def test_reconstruct_deployment_spec(tmp_path): + # set up a fake exported project + (tmp_path / "dj.yaml").write_text( + yaml.safe_dump({"namespace": "foo", "tags": ["t1"]}), + ) + node_dir = tmp_path / "foo" + node_dir.mkdir() + node_file = node_dir / "bar.yaml" + node_file.write_text(yaml.safe_dump({"name": "foo.bar", "query": "SELECT 1"})) + + svc = DeploymentService(MagicMock()) + spec = svc._reconstruct_deployment_spec(tmp_path) + assert spec["namespace"] == "foo" + assert spec["tags"] == ["t1"] + assert spec["nodes"][0]["name"] == "foo.bar" + + +@pytest.mark.timeout(2) +def test_push_waits_until_success(monkeypatch, tmp_path): + # Create a fake project structure so _reconstruct_deployment_spec returns something + (tmp_path / "dj.yaml").write_text(yaml.safe_dump({"namespace": "foo"})) + (tmp_path / "foo.yaml").write_text(yaml.safe_dump({"name": "foo.bar"})) + + # Fake client that returns "pending" once then "success" + client = MagicMock() + responses = [ + {"uuid": "123", "status": "pending", "results": [], "namespace": "foo"}, + {"uuid": "123", "status": "success", "results": [], "namespace": "foo"}, + ] + client.deploy.return_value = responses[0] + client.check_deployment.side_effect = responses[1:] + + svc = DeploymentService(client, console=Console(file=io.StringIO())) + monkeypatch.setattr(time, "sleep", lambda _: None) + + svc.push(tmp_path) # should not raise + + client.deploy.assert_called_once() + client.check_deployment.assert_called() + + +def test_push_times_out(monkeypatch, tmp_path): + # minimal project structure so _reconstruct_deployment_spec works + (tmp_path / "dj.yaml").write_text(yaml.safe_dump({"namespace": "foo"})) + (tmp_path / "foo.yaml").write_text(yaml.safe_dump({"name": "foo.bar"})) + + # Fake client: deploy returns a uuid, check_deployment always 'pending' + client = MagicMock() + client.deploy.return_value = { + "uuid": "123", + "status": "pending", + "results": [], + "namespace": "foo", + } + client.check_deployment.return_value = { + "uuid": "123", + "status": "pending", + "results": [], + "namespace": "foo", + } + + svc = DeploymentService(client, console=Console(file=io.StringIO())) + + # Patch time.sleep to skip waiting + monkeypatch.setattr(time, "sleep", lambda _: None) + + # Simulate time moving past the timeout on the second call + start_time = 1_000_000 + times = [start_time, start_time + 301] # second call is > 5 minutes later + monkeypatch.setattr(time, "time", lambda: times.pop(0)) + + with pytest.raises(DJClientException, match="Deployment timed out"): + svc.push(tmp_path) + + client.deploy.assert_called_once() + client.check_deployment.assert_called() + + +def test_read_project_yaml_returns_empty(tmp_path: Path): + """ + Verify that when dj.yaml is missing, _read_project_yaml returns an empty dict. + """ + # Create a directory without dj.yaml + project_dir = tmp_path + client = mock.MagicMock() + svc = DeploymentService(client, console=Console(file=io.StringIO())) + result = svc._read_project_yaml(project_dir) + assert result == {} + + +class TestBuildDeploymentSource: + """Tests for _build_deployment_source method.""" + + def test_no_git_env_vars_returns_local_source(self, monkeypatch): + """When no DJ_DEPLOY_REPO is set, returns local source with hostname.""" + # Ensure none of the git-related env vars are set + monkeypatch.delenv("DJ_DEPLOY_REPO", raising=False) + monkeypatch.delenv("DJ_DEPLOY_BRANCH", raising=False) + monkeypatch.delenv("DJ_DEPLOY_COMMIT", raising=False) + monkeypatch.delenv("DJ_DEPLOY_CI_SYSTEM", raising=False) + monkeypatch.delenv("DJ_DEPLOY_CI_RUN_URL", raising=False) + + result = DeploymentService._build_deployment_source() + + # Now we always track local deploys + assert result is not None + assert result["type"] == "local" + assert "hostname" in result + + def test_git_source_with_all_fields(self, monkeypatch): + """When DJ_DEPLOY_REPO is set, returns git source with all fields.""" + monkeypatch.setenv("DJ_DEPLOY_REPO", "github.com/org/repo") + monkeypatch.setenv("DJ_DEPLOY_BRANCH", "main") + monkeypatch.setenv("DJ_DEPLOY_COMMIT", "abc123") + monkeypatch.setenv("DJ_DEPLOY_CI_SYSTEM", "github-actions") + monkeypatch.setenv( + "DJ_DEPLOY_CI_RUN_URL", + "https://github.com/org/repo/actions/runs/123", + ) + + result = DeploymentService._build_deployment_source() + + assert result is not None + assert result["type"] == "git" + assert result["repository"] == "github.com/org/repo" + assert result["branch"] == "main" + assert result["commit_sha"] == "abc123" + assert result["ci_system"] == "github-actions" + assert result["ci_run_url"] == "https://github.com/org/repo/actions/runs/123" + + def test_git_source_with_only_repo(self, monkeypatch): + """When only DJ_DEPLOY_REPO is set, other fields are omitted.""" + monkeypatch.setenv("DJ_DEPLOY_REPO", "github.com/org/repo") + monkeypatch.delenv("DJ_DEPLOY_BRANCH", raising=False) + monkeypatch.delenv("DJ_DEPLOY_COMMIT", raising=False) + monkeypatch.delenv("DJ_DEPLOY_CI_SYSTEM", raising=False) + monkeypatch.delenv("DJ_DEPLOY_CI_RUN_URL", raising=False) + + result = DeploymentService._build_deployment_source() + + assert result is not None + assert result["type"] == "git" + assert result["repository"] == "github.com/org/repo" + assert "branch" not in result + assert "commit_sha" not in result + assert "ci_system" not in result + assert "ci_run_url" not in result + + def test_local_source_when_track_local_true(self, monkeypatch): + """When DJ_DEPLOY_TRACK_LOCAL=true, returns local source.""" + monkeypatch.delenv("DJ_DEPLOY_REPO", raising=False) + monkeypatch.setenv("DJ_DEPLOY_TRACK_LOCAL", "true") + monkeypatch.setenv("DJ_DEPLOY_REASON", "testing locally") + + result = DeploymentService._build_deployment_source() + + assert result is not None + assert result["type"] == "local" + assert "hostname" in result # should be set to socket.gethostname() + assert result["reason"] == "testing locally" + + def test_local_source_track_local_case_insensitive(self, monkeypatch): + """DJ_DEPLOY_TRACK_LOCAL should be case-insensitive.""" + monkeypatch.delenv("DJ_DEPLOY_REPO", raising=False) + monkeypatch.setenv("DJ_DEPLOY_TRACK_LOCAL", "TRUE") + monkeypatch.delenv("DJ_DEPLOY_REASON", raising=False) + + result = DeploymentService._build_deployment_source() + + assert result is not None + assert result["type"] == "local" + + def test_git_takes_precedence_over_local(self, monkeypatch): + """When both DJ_DEPLOY_REPO and DJ_DEPLOY_TRACK_LOCAL are set, git wins.""" + monkeypatch.setenv("DJ_DEPLOY_REPO", "github.com/org/repo") + monkeypatch.setenv("DJ_DEPLOY_TRACK_LOCAL", "true") + + result = DeploymentService._build_deployment_source() + + assert result is not None + assert result["type"] == "git" + + def test_reconstruct_deployment_spec_includes_source(self, tmp_path, monkeypatch): + """_reconstruct_deployment_spec should include source when env vars are set.""" + # Set up project files + (tmp_path / "dj.yaml").write_text(yaml.safe_dump({"namespace": "test"})) + (tmp_path / "node.yaml").write_text(yaml.safe_dump({"name": "test.node"})) + + # Set env vars for git source + monkeypatch.setenv("DJ_DEPLOY_REPO", "github.com/test/repo") + monkeypatch.setenv("DJ_DEPLOY_BRANCH", "feature-branch") + + svc = DeploymentService(MagicMock()) + spec = svc._reconstruct_deployment_spec(tmp_path) + + assert "source" in spec + assert spec["source"]["type"] == "git" + assert spec["source"]["repository"] == "github.com/test/repo" + assert spec["source"]["branch"] == "feature-branch" + + def test_reconstruct_deployment_spec_local_source_without_repo_env_var( + self, + tmp_path, + monkeypatch, + ): + """_reconstruct_deployment_spec should include local source when no repo env var.""" + # Set up project files + (tmp_path / "dj.yaml").write_text(yaml.safe_dump({"namespace": "test"})) + (tmp_path / "node.yaml").write_text(yaml.safe_dump({"name": "test.node"})) + + # Ensure no git env vars are set + monkeypatch.delenv("DJ_DEPLOY_REPO", raising=False) + + svc = DeploymentService(MagicMock()) + spec = svc._reconstruct_deployment_spec(tmp_path) + + # Now we always track local deploys + assert "source" in spec + assert spec["source"]["type"] == "local" + assert "hostname" in spec["source"] + + +class TestGetImpact: + """Tests for the get_impact method.""" + + def test_get_impact_calls_api(self, tmp_path, monkeypatch): + """get_impact should call the deployment impact API.""" + # Set up project files + (tmp_path / "dj.yaml").write_text(yaml.safe_dump({"namespace": "test.ns"})) + (tmp_path / "node.yaml").write_text( + yaml.safe_dump({"name": "test.ns.my_node", "node_type": "source"}), + ) + + # Ensure no git env vars are set for cleaner test + monkeypatch.delenv("DJ_DEPLOY_REPO", raising=False) + + # Create mock client + mock_client = MagicMock() + mock_client.get_deployment_impact.return_value = { + "namespace": "test.ns", + "changes": [], + "create_count": 0, + "update_count": 0, + "delete_count": 0, + "skip_count": 1, + "downstream_impacts": [], + "will_invalidate_count": 0, + "may_affect_count": 0, + "warnings": [], + } + + svc = DeploymentService(mock_client) + result = svc.get_impact(tmp_path) + + # Verify the API was called + mock_client.get_deployment_impact.assert_called_once() + call_args = mock_client.get_deployment_impact.call_args[0][0] + assert call_args["namespace"] == "test.ns" + assert "nodes" in call_args + + # Verify the result is returned + assert result["namespace"] == "test.ns" + assert result["skip_count"] == 1 + + def test_get_impact_with_namespace_override(self, tmp_path, monkeypatch): + """get_impact should respect namespace override.""" + # Set up project files + (tmp_path / "dj.yaml").write_text(yaml.safe_dump({"namespace": "original.ns"})) + (tmp_path / "node.yaml").write_text(yaml.safe_dump({"name": "test.node"})) + + monkeypatch.delenv("DJ_DEPLOY_REPO", raising=False) + + mock_client = MagicMock() + mock_client.get_deployment_impact.return_value = {"namespace": "override.ns"} + + svc = DeploymentService(mock_client) + svc.get_impact(tmp_path, namespace="override.ns") + + # Verify the namespace was overridden in the API call + call_args = mock_client.get_deployment_impact.call_args[0][0] + assert call_args["namespace"] == "override.ns" diff --git a/datajunction-clients/python/tests/test_generated_client.py b/datajunction-clients/python/tests/test_generated_client.py new file mode 100644 index 000000000..f6d9120d5 --- /dev/null +++ b/datajunction-clients/python/tests/test_generated_client.py @@ -0,0 +1,106 @@ +"""Check the generated client code from various server endpoints.""" + + +class TestGeneratedClient: # pylint: disable=too-many-public-methods, protected-access + """ + Tests that verify the server's generated Python client code by running it + """ + + def run_generated_create_node_client_code( + self, + module__session_with_examples, + node: str, + ): + """ + Calls the server endpoint to get the generated client code for this node and runs it. + """ + response = module__session_with_examples.get( + f"/datajunction-clients/python/new_node/{node}?replace_namespace=roadscopy", + ) + create_node_client_code = str(response.json()) + create_node_client_code = create_node_client_code.replace( + "DJBuilder(DJ_URL)", + "DJBuilder(requests_session=module__session_with_examples)", + ).replace('dj.basic_login("dj", "dj")', "") + exec(create_node_client_code) # pylint: disable=exec-used + + def test_export_nodes(self, module__session_with_examples): + """ + Verify that the code generated by /datajunction-clients/python/new_node works + """ + response = module__session_with_examples.post("/namespaces/roadscopy") + assert response.status_code == 201 + + # Copy all source nodes to new namespace + for source_node in set( + module__session_with_examples.get("/nodes?node_type=source").json(), + ): + if source_node.startswith("default"): + response = module__session_with_examples.post( + f"/nodes/{source_node}/copy?new_name=roadscopy.{source_node.split('.')[-1]}", + ) + assert response.status_code == 200 + + # Verify that the remaining nodes can be recreated with the generated Python client code + # under the new namespace `roadscopy` + nodes = [ + node["name"] + for node in module__session_with_examples.get("/namespaces/default").json() + if node["type"] not in ("source", "cube") + ] + for node in nodes: + self.run_generated_create_node_client_code( + module__session_with_examples, + node, + ) + shortname = node.split(".")[-1] + result = module__session_with_examples.get( + f"/nodes/roadscopy.{shortname}", + ).json() + assert result["name"] == f"roadscopy.{shortname}" + assert "roadscopy" in result["query"] + + for node in nodes: + # Verify that the generated linking dimensions code also works + response = module__session_with_examples.get( + f"/datajunction-clients/python/dimension_links/{node}" + "?replace_namespace=roadscopy&include_client_setup=true", + ) + dimension_links_client_code = str(response.json()) + dimension_links_client_code = dimension_links_client_code.replace( + "DJBuilder(DJ_URL)", + "DJBuilder(requests_session=module__session_with_examples)", + ).replace('dj.basic_login("dj", "dj")', "") + exec(dimension_links_client_code) # pylint: disable=exec-used + + # Check linked dimensions + dimensions = module__session_with_examples.get( + "/nodes/roadscopy.num_repair_orders/dimensions", + ).json() + assert len(dimensions) == 31 + + nodes = [ + node["name"] + for node in module__session_with_examples.get("/namespaces/default").json() + if node["type"] in ("cube") + ] + # Check that cubes can now be created after the dimension linking + for node in nodes: + shortname = node.split(".")[-1] + self.run_generated_create_node_client_code( + module__session_with_examples, + node, + ) + result = module__session_with_examples.get( + f"/cubes/roadscopy.{shortname}", + ).json() + assert result["name"] == f"roadscopy.{shortname}" + assert result["cube_node_metrics"] == ["roadscopy.num_repair_orders"] + assert result["cube_node_dimensions"] == [ + "default.municipality_dim.local_region", + ] + + result = module__session_with_examples.get( + f"/nodes/roadscopy.{shortname}/dimensions", + ).json() + assert len(result) > 0 diff --git a/datajunction-clients/python/tests/test_integration.py b/datajunction-clients/python/tests/test_integration.py new file mode 100644 index 000000000..f3a7ec07e --- /dev/null +++ b/datajunction-clients/python/tests/test_integration.py @@ -0,0 +1,125 @@ +""" +Integration tests to be run against the latest full demo datajunction environment +""" +# pylint: disable=protected-access + +import logging +from time import sleep + +import pytest + +from datajunction import DJBuilder, models +from datajunction.compile import ColumnYAML +from datajunction.exceptions import DJClientException + +_logger = logging.getLogger(__name__) + + +@pytest.mark.skipif("not config.getoption('integration')") +def test_integration(): + """ + Integration test + """ + dj = DJBuilder() + + max_retries = 5 + initial_delay = 1 # seconds + delay_factor = 5 + + for attempt in range(max_retries): + try: + dj.basic_login(username="dj", password="dj") + break + except DJClientException: + if attempt == max_retries - 1: + raise + delay = initial_delay * (delay_factor**attempt) + _logger.info( + "Login attempt %s failed. Retrying in %d seconds...", + attempt + 1, + delay, + ) + sleep(delay) + + dj._session.post("/catalogs", json={"name": "tpch"}) + dj._session.post("/engines", json={"name": "trino", "version": "451"}) + dj._session.post( + "/catalogs/tpch/engines", + json=[{"name": "trino", "version": "451"}], + ) + dj.create_namespace("integration.tests") + dj.create_namespace("integration.tests.trino") + source = dj.create_source( + name="integration.tests.source1", + catalog="unknown", + schema="db", + table="tbl", + display_name="Test Source with Columns", + description="A test source node with columns", + columns=[ + ColumnYAML(name="id", type="int"), + ColumnYAML(name="name", type="string"), + ColumnYAML(name="price", type="double"), + ColumnYAML(name="created_at", type="timestamp"), + ], + primary_key=["id"], + mode=models.NodeMode.PUBLISHED, + update_if_exists=True, + ) + assert source.name == "integration.tests.source1" + dj.register_table(catalog="tpch", schema="sf1", table="orders") + transform = dj.create_transform( + name="integration.tests.trino.transform1", + display_name="Filter to last 1000 records", + description="The last 1000 purchases", + mode=models.NodeMode.PUBLISHED, + query=( + "select custkey, totalprice, orderdate from " + "source.tpch.sf1.orders order by orderdate desc limit 1000" + ), + update_if_exists=True, + ) + assert transform.name == "integration.tests.trino.transform1" + dimension = dj.create_dimension( + name="integration.tests.trino.dimension1", + display_name="Customer keys", + description="All custkey values in the source table", + mode=models.NodeMode.PUBLISHED, + primary_key=[ + "id", + ], + tags=[], + query="select custkey as id, 'attribute' as foo from source.tpch.sf1.orders", + update_if_exists=True, + ) + assert dimension.name == "integration.tests.trino.dimension1" + dj._link_dimension_to_node( + node_name="integration.tests.trino.transform1", + column_name="custkey", + dimension_name="integration.tests.trino.dimension1", + dimension_column=None, + ) + metric = dj.create_metric( + name="integration.tests.trino.metric1", + display_name="Total of last 1000 purchases", + description="This is the total amount from the last 1000 purchases", + mode=models.NodeMode.PUBLISHED, + query="select sum(totalprice) from integration.tests.trino.transform1", + update_if_exists=True, + ) + assert metric.name == "integration.tests.trino.metric1" + common_dimensions = dj.common_dimensions( + metrics=["integration.tests.trino.metric1"], + ) + assert len(common_dimensions) == 2 + assert set( + [ + "integration.tests.trino.dimension1.id", + "integration.tests.trino.dimension1.foo", + ], + ) == {attribute["name"] for attribute in common_dimensions} + sql = dj.sql( + metrics=["integration.tests.trino.metric1"], + dimensions=["integration.tests.trino.dimension1.id"], + ) + assert "SELECT" in sql diff --git a/datajunction-clients/python/tests/test_models.py b/datajunction-clients/python/tests/test_models.py new file mode 100644 index 000000000..1bb6851c7 --- /dev/null +++ b/datajunction-clients/python/tests/test_models.py @@ -0,0 +1,18 @@ +"""Tests for models.""" + +from datajunction.models import QueryState + + +def test_enum_list(): + """ + Check list of query states works + """ + assert QueryState.list() == [ + "UNKNOWN", + "ACCEPTED", + "SCHEDULED", + "RUNNING", + "FINISHED", + "CANCELED", + "FAILED", + ] diff --git a/datajunction-clients/python/tox.ini b/datajunction-clients/python/tox.ini new file mode 100644 index 000000000..f72ab293e --- /dev/null +++ b/datajunction-clients/python/tox.ini @@ -0,0 +1,91 @@ +# Tox configuration file + +[tox] +minversion = 3.24 +envlist = default +isolated_build = True + + +[testenv] +description = Invoke pytest to run automated tests +setenv = + TOXINIDIR = {toxinidir} +passenv = + HOME + SETUPTOOLS_* +extras = + testing +commands = + pytest {posargs} + + +# # To run `tox -e lint` you need to make sure you have a +# # `.pre-commit-config.yaml` file. See https://pre-commit.com +# [testenv:lint] +# description = Perform static analysis and style checks +# skip_install = True +# deps = pre-commit +# passenv = +# HOMEPATH +# PROGRAMDATA +# SETUPTOOLS_* +# commands = +# pre-commit run --all-files {posargs:--show-diff-on-failure} + + +[testenv:{build,clean}] +description = + build: Build the package in isolation according to PEP517, see https://github.com/pypa/build + clean: Remove old distribution files and temporary build artifacts (./build and ./dist) +# https://setuptools.pypa.io/en/stable/build_meta.html#how-to-use-it +skip_install = True +changedir = {toxinidir} +deps = + build: build[virtualenv] +passenv = + SETUPTOOLS_* +commands = + clean: python -c 'import shutil; [shutil.rmtree(p, True) for p in ("build", "dist", "docs/_build")]' + clean: python -c 'import pathlib, shutil; [shutil.rmtree(p, True) for p in pathlib.Path("src").glob("*.egg-info")]' + build: python -m build {posargs} +# By default, both `sdist` and `wheel` are built. If your sdist is too big or you don't want +# to make it available, consider running: `tox -e build -- --wheel` + + +[testenv:{docs,doctests,linkcheck}] +description = + docs: Invoke sphinx-build to build the docs + doctests: Invoke sphinx-build to run doctests + linkcheck: Check for broken links in the documentation +passenv = + SETUPTOOLS_* +setenv = + DOCSDIR = {toxinidir}/docs + BUILDDIR = {toxinidir}/docs/_build + docs: BUILD = html + doctests: BUILD = doctest + linkcheck: BUILD = linkcheck +deps = + -r {toxinidir}/docs/requirements.txt + # ^ requirements.txt shared with Read The Docs +commands = + sphinx-build --color -b {env:BUILD} -d "{env:BUILDDIR}/doctrees" "{env:DOCSDIR}" "{env:BUILDDIR}/{env:BUILD}" {posargs} + + +[testenv:publish] +description = + Publish the package you have been developing to a package index server. + By default, it uses testpypi. If you really want to publish your package + to be publicly accessible in PyPI, use the `-- --repository pypi` option. +skip_install = True +changedir = {toxinidir} +passenv = + # See: https://twine.readthedocs.io/en/latest/ + TWINE_USERNAME + TWINE_PASSWORD + TWINE_REPOSITORY + TWINE_REPOSITORY_URL +deps = twine +commands = + python -m twine check dist/* + python -m twine upload {posargs:--repository {env:TWINE_REPOSITORY:testpypi}} dist/* diff --git a/datajunction-query/.coveragerc b/datajunction-query/.coveragerc new file mode 100644 index 000000000..84a1b76ce --- /dev/null +++ b/datajunction-query/.coveragerc @@ -0,0 +1,33 @@ +# .coveragerc to control coverage.py +[run] +branch = True +source = dj +omit = + djqs/config.py + djqs/exceptions.py + +[paths] +source = + djqs/ + */site-packages/ + +[report] +sort = -Cover +# Regexes for lines to exclude from consideration +exclude_lines = + # Have to re-enable the standard pragma + pragma: no cover + + # Don't complain about missing debug-only code: + def __repr__ + if self\.debug + + # Don't complain if tests don't hit defensive assertion code: + raise AssertionError + raise NotImplementedError + + # Don't complain if non-runnable code isn't run: + if 0: + if __name__ == .__main__.: + + if TYPE_CHECKING: diff --git a/datajunction-query/.env b/datajunction-query/.env new file mode 100644 index 000000000..e0645f1cf --- /dev/null +++ b/datajunction-query/.env @@ -0,0 +1,4 @@ +CONFIGURATION_FILE="/code/config.djqs.yml" +DEFAULT_CATALOG=warehouse +DEFAULT_ENGINE=trino +DEFAULT_ENGINE_VERSION="451" diff --git a/datajunction-query/.flake8 b/datajunction-query/.flake8 new file mode 100644 index 000000000..d9ad0b409 --- /dev/null +++ b/datajunction-query/.flake8 @@ -0,0 +1,5 @@ +[flake8] +ignore = E203, E266, E501, W503, F403, F401 +max-line-length = 79 +max-complexity = 18 +select = B,C,E,F,W,T4,B9 diff --git a/datajunction-query/.gitignore b/datajunction-query/.gitignore new file mode 100644 index 000000000..e48e6169a --- /dev/null +++ b/datajunction-query/.gitignore @@ -0,0 +1,117 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +env/ +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/api/* +docs/_rst/* +docs/_build/* + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# pyenv +.python-version + +# celery beat schedule file +celerybeat-schedule + +# SageMath parsed files +*.sage.py + +# virtualenv +.venv +venv/ +ENV/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ + +*.sqlite +*.db +*.swp + +# https://pypi.org/project/python-dotenv/ +.env + +# VS Code +.vscode + +# IDEA +.idea + +# Spark +spark-warehouse +metastore_db diff --git a/datajunction-query/.isort.cfg b/datajunction-query/.isort.cfg new file mode 100644 index 000000000..93c4c7eae --- /dev/null +++ b/datajunction-query/.isort.cfg @@ -0,0 +1,3 @@ +[settings] +profile = black +known_first_party = djqs diff --git a/datajunction-query/.pre-commit-config.yaml b/datajunction-query/.pre-commit-config.yaml new file mode 100644 index 000000000..6e9601789 --- /dev/null +++ b/datajunction-query/.pre-commit-config.yaml @@ -0,0 +1,55 @@ +files: ^datajunction-query/ +exclude: (^datajunction-query/docker/) + +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: trailing-whitespace + - id: check-ast + exclude: ^templates/ + - id: check-merge-conflict + - id: debug-statements + exclude: ^templates/ + - id: requirements-txt-fixer + exclude: ^templates/ + +- repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.11.10 + hooks: + - id: ruff + args: [ --fix ] + - id: ruff-format + +- repo: https://github.com/pre-commit/mirrors-mypy + rev: 'v0.981' # Use the sha / tag you want to point at + hooks: + - id: mypy + exclude: ^templates/ + additional_dependencies: + - types-requests + - types-freezegun + - types-python-dateutil + - types-setuptools + - types-PyYAML + - types-tabulate + - types-toml + +- repo: https://github.com/asottile/add-trailing-comma + rev: v3.1.0 + hooks: + - id: add-trailing-comma + +- repo: https://github.com/kynan/nbstripout + rev: 0.6.1 + hooks: + - id: nbstripout +- repo: https://github.com/tomcatling/black-nb + rev: "0.7" + hooks: + - id: black-nb + files: '\.ipynb$' +- repo: https://github.com/pdm-project/pdm + rev: 2.6.1 + hooks: + - id: pdm-lock-check diff --git a/datajunction-query/.pylintrc b/datajunction-query/.pylintrc new file mode 100644 index 000000000..ee77aead7 --- /dev/null +++ b/datajunction-query/.pylintrc @@ -0,0 +1,10 @@ +[MESSAGES CONTROL] +disable=c-extension-no-member + +[MASTER] +# https://github.com/samuelcolvin/pydantic/issues/1961#issuecomment-759522422 +extension-pkg-whitelist=pydantic,duckdb +ignore=templates,docs + +[IMPORTS] +ignore-modules=duckdb diff --git a/.readthedocs.yml b/datajunction-query/.readthedocs.yml similarity index 100% rename from .readthedocs.yml rename to datajunction-query/.readthedocs.yml diff --git a/datajunction-query/AUTHORS.rst b/datajunction-query/AUTHORS.rst new file mode 100644 index 000000000..30d306349 --- /dev/null +++ b/datajunction-query/AUTHORS.rst @@ -0,0 +1,9 @@ +============ +Contributors +============ + +* Beto Dealmeida +* Olek Gorajek +* Hamidreza Hashemi +* Ali Raza +* Sam Redai diff --git a/datajunction-query/CODE_OF_CONDUCT.md b/datajunction-query/CODE_OF_CONDUCT.md new file mode 100644 index 000000000..18c914718 --- /dev/null +++ b/datajunction-query/CODE_OF_CONDUCT.md @@ -0,0 +1,128 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our +community a harassment-free experience for everyone, regardless of age, body +size, visible or invisible disability, ethnicity, sex characteristics, gender +identity and expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, religion, or sexual identity +and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, +diverse, inclusive, and healthy community. + +## Our Standards + +Examples of behavior that contributes to a positive environment for our +community include: + +* Demonstrating empathy and kindness toward other people +* Being respectful of differing opinions, viewpoints, and experiences +* Giving and gracefully accepting constructive feedback +* Accepting responsibility and apologizing to those affected by our mistakes, + and learning from the experience +* Focusing on what is best not just for us as individuals, but for the + overall community + +Examples of unacceptable behavior include: + +* The use of sexualized language or imagery, and sexual attention or + advances of any kind +* Trolling, insulting or derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or email + address, without their explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of +acceptable behavior and will take appropriate and fair corrective action in +response to any behavior that they deem inappropriate, threatening, offensive, +or harmful. + +Community leaders have the right and responsibility to remove, edit, or reject +comments, commits, code, wiki edits, issues, and other contributions that are +not aligned to this Code of Conduct, and will communicate reasons for moderation +decisions when appropriate. + +## Scope + +This Code of Conduct applies within all community spaces, and also applies when +an individual is officially representing the community in public spaces. +Examples of representing our community include using an official e-mail address, +posting via an official social media account, or acting as an appointed +representative at an online or offline event. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported to the community leaders responsible for enforcement at +. +All complaints will be reviewed and investigated promptly and fairly. + +All community leaders are obligated to respect the privacy and security of the +reporter of any incident. + +## Enforcement Guidelines + +Community leaders will follow these Community Impact Guidelines in determining +the consequences for any action they deem in violation of this Code of Conduct: + +### 1. Correction + +**Community Impact**: Use of inappropriate language or other behavior deemed +unprofessional or unwelcome in the community. + +**Consequence**: A private, written warning from community leaders, providing +clarity around the nature of the violation and an explanation of why the +behavior was inappropriate. A public apology may be requested. + +### 2. Warning + +**Community Impact**: A violation through a single incident or series +of actions. + +**Consequence**: A warning with consequences for continued behavior. No +interaction with the people involved, including unsolicited interaction with +those enforcing the Code of Conduct, for a specified period of time. This +includes avoiding interactions in community spaces as well as external channels +like social media. Violating these terms may lead to a temporary or +permanent ban. + +### 3. Temporary Ban + +**Community Impact**: A serious violation of community standards, including +sustained inappropriate behavior. + +**Consequence**: A temporary ban from any sort of interaction or public +communication with the community for a specified period of time. No public or +private interaction with the people involved, including unsolicited interaction +with those enforcing the Code of Conduct, is allowed during this period. +Violating these terms may lead to a permanent ban. + +### 4. Permanent Ban + +**Community Impact**: Demonstrating a pattern of violation of community +standards, including sustained inappropriate behavior, harassment of an +individual, or aggression toward or disparagement of classes of individuals. + +**Consequence**: A permanent ban from any sort of public interaction within +the community. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], +version 2.0, available at +https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. + +Community Impact Guidelines were inspired by [Mozilla's code of conduct +enforcement ladder](https://github.com/mozilla/diversity). + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see the FAQ at +https://www.contributor-covenant.org/faq. Translations are available at +https://www.contributor-covenant.org/translations. diff --git a/datajunction-query/Dockerfile b/datajunction-query/Dockerfile new file mode 100644 index 000000000..e5beb0424 --- /dev/null +++ b/datajunction-query/Dockerfile @@ -0,0 +1,11 @@ +FROM jupyter/pyspark-notebook +USER root +WORKDIR /code +COPY . /code +RUN apt-get update && apt-get install -y \ + libpq-dev \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* +RUN pip install -e .[uvicorn] +CMD ["uvicorn", "djqs.api.main:app", "--host", "0.0.0.0", "--port", "8001", "--reload"] +EXPOSE 8001 diff --git a/datajunction-query/LICENSE.txt b/datajunction-query/LICENSE.txt new file mode 100644 index 000000000..c4b4b0a2e --- /dev/null +++ b/datajunction-query/LICENSE.txt @@ -0,0 +1,21 @@ +The MIT License (MIT) + +Copyright (c) 2021 Beto Dealmeida + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/datajunction-query/Makefile b/datajunction-query/Makefile new file mode 100644 index 000000000..1badc73d4 --- /dev/null +++ b/datajunction-query/Makefile @@ -0,0 +1,50 @@ +pyenv: .python-version + +.python-version: setup.cfg + if [ -z "`pyenv virtualenvs | grep djqs`" ]; then\ + pyenv virtualenv djqs;\ + fi + if [ ! -f .python-version ]; then\ + pyenv local djqs;\ + fi + pdm install + touch .python-version + +docker-build: + docker build . + docker compose build + +docker-run: + docker compose up + +docker-run-with-postgres: + docker compose -f docker-compose.yml -f docker-compose.postgres.yml up + +docker-run-with-druid: + docker compose -f docker-compose.yml -f docker-compose.druid.yml up + +docker-run-with-cockroachdb: + docker compose -f docker-compose.yml -f docker-compose.cockroachdb.yml up + +test: pyenv + pdm run pytest --cov=djqs -vv tests/ --cov-report term-missing --doctest-modules djqs --without-integration --without-slow-integration ${PYTEST_ARGS} + +integration: pyenv + pdm run pytest --cov=djqs -vv tests/ --cov-report term-missing --doctest-modules djqs --with-integration --with-slow-integration + +clean: + pyenv virtualenv-delete djqs + +spellcheck: + codespell -L froms -S "*.json" djqs docs/*rst tests templates + +check: + pdm run pre-commit run --all-files + +lint: + make check + +dev-release: + hatch version dev + hatch build + hatch publish diff --git a/datajunction-query/README.rst b/datajunction-query/README.rst new file mode 100644 index 000000000..65b0dbf2a --- /dev/null +++ b/datajunction-query/README.rst @@ -0,0 +1,334 @@ +========================== +DataJunction Query Service +========================== + +This repository (DJQS) is an open source implementation of a `DataJunction `_ +query service. It allows you to create catalogs and engines that represent sqlalchemy connections. Configuring +a DJ server to use a DJQS server allows DJ to query any of the database technologies supported by sqlalchemy. + +========== +Quickstart +========== + +To get started, clone this repo and start up the docker compose environment. + +.. code-block:: + + git clone https://github.com/DataJunction/djqs + cd djqs + docker compose up + +Creating Catalogs +================= + +Catalogs can be created using the :code:`POST /catalogs/` endpoint. + +.. code-block:: sh + + curl -X 'POST' \ + 'http://localhost:8001/catalogs/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "name": "djdb" + }' + +Creating Engines +================ + +Engines can be created using the :code:`POST /engines/` endpoint. + +.. code-block:: sh + + curl -X 'POST' \ + 'http://localhost:8001/engines/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "name": "sqlalchemy-postgresql", + "version": "15.2", + "uri": "postgresql://dj:dj@postgres-roads:5432/djdb" + }' + +Engines can be attached to existing catalogs using the :code:`POST /catalogs/{name}/engines/` endpoint. + +.. code-block:: sh + + curl -X 'POST' \ + 'http://localhost:8001/catalogs/djdb/engines/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '[ + { + "name": "sqlalchemy-postgresql", + "version": "15.2" + } + ]' + +Executing Queries +================= + +Queries can be submitted to DJQS for a specified catalog and engine. + +.. code-block:: sh + + curl -X 'POST' \ + 'http://localhost:8001/queries/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "catalog_name": "djdb", + "engine_name": "sqlalchemy-postgresql", + "engine_version": "15.2", + "submitted_query": "SELECT * from roads.repair_orders", + "async_": false + }' + +Async queries can be submitted as well. + +.. code-block:: sh + + curl -X 'POST' \ + 'http://localhost:8001/queries/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "catalog_name": "djdb", + "engine_name": "sqlalchemy-postgresql", + "engine_version": "15.2", + "submitted_query": "SELECT * from roads.repair_orders", + "async_": true + }' + +*response* + +.. code-block:: json + + { + "catalog_name": "djdb", + "engine_name": "sqlalchemy-postgresql", + "engine_version": "15.2", + "id": "", + "submitted_query": "SELECT * from roads.repair_orders", + "executed_query": null, + "scheduled": null, + "started": null, + "finished": null, + "state": "ACCEPTED", + "progress": 0, + "results": [], + "next": null, + "previous": null, + "errors": [] + } + +The query id provided in the response can then be used to check the status of the running query and get the results +once it's completed. + +.. code-block:: sh + + curl -X 'GET' \ + 'http://localhost:8001/queries//' \ + -H 'accept: application/json' + +*response* + +.. code-block:: json + + { + "catalog_name": "djdb", + "engine_name": "sqlalchemy-postgresql", + "engine_version": "15.2", + "id": "$QUERY_ID", + "submitted_query": "SELECT * from roads.repair_orders", + "executed_query": "SELECT * from roads.repair_orders", + "scheduled": "2023-02-28T07:27:55.367162", + "started": "2023-02-28T07:27:55.367387", + "finished": "2023-02-28T07:27:55.502412", + "state": "FINISHED", + "progress": 1, + "results": [ + { + "sql": "SELECT * from roads.repair_orders", + "columns": [...], + "rows": [...], + "row_count": 25 + } + ], + "next": null, + "previous": null, + "errors": [] + } + +Reflection +========== + +If running a [reflection service](https://github.com/DataJunction/djrs), that service can leverage the +:code:`POST /table/{table}/columns/` endpoint of DJQS to get column names and types for a given table. + +.. code-block:: sh + + curl -X 'GET' \ + 'http://localhost:8001/table/djdb.roads.repair_orders/columns/?engine=sqlalchemy-postgresql&engine_version=15.2' \ + -H 'accept: application/json' + +*response* + +.. code-block:: json + + { + "name": "djdb.roads.repair_orders", + "columns": [ + { + "name": "repair_order_id", + "type": "INT" + }, + { + "name": "municipality_id", + "type": "STR" + }, + { + "name": "hard_hat_id", + "type": "INT" + }, + { + "name": "order_date", + "type": "DATE" + }, + { + "name": "required_date", + "type": "DATE" + }, + { + "name": "dispatched_date", + "type": "DATE" + }, + { + "name": "dispatcher_id", + "type": "INT" + } + ] + } + +====== +DuckDB +====== + +DJQS includes an example of using DuckDB as an engine and it comes preloaded with the roads example database. + +Create a :code:`djduckdb` catalog and a :code:`duckdb` engine. + +.. code-block:: + + curl -X 'POST' \ + 'http://localhost:8001/catalogs/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "name": "djduckdb" + }' + +.. code-block:: + + curl -X 'POST' \ + 'http://localhost:8001/engines/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "name": "duckdb", + "version": "0.7.1", + "uri": "duckdb://local[*]" + }' + +.. code-block:: + + curl -X 'POST' \ + 'http://localhost:8001/catalogs/djduckdb/engines/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '[ + { + "name": "duckdb", + "version": "0.7.1" + } + ]' + +Now you can submit DuckDB SQL queries. + +.. code-block:: + + curl -X 'POST' \ + 'http://localhost:8001/queries/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "catalog_name": "djduckdb", + "engine_name": "duckdb", + "engine_version": "0.7.1", + "submitted_query": "SELECT * FROM roads.us_states LIMIT 10", + "async_": false + }' + +===== +Spark +===== + +DJQS includes an example of using Spark as an engine. To try it, start up the docker compose environment and then +load the example roads database into Spark. + +.. code-block:: + + docker exec -it djqs /bin/bash -c "python /code/docker/spark_load_roads.py" + +Next, create a :code:`djspark` catalog and a :code:`spark` engine. + +.. code-block:: + + curl -X 'POST' \ + 'http://localhost:8001/catalogs/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "name": "djspark" + }' + +.. code-block:: + + curl -X 'POST' \ + 'http://localhost:8001/engines/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "name": "spark", + "version": "3.3.2", + "uri": "spark://local[*]" + }' + +.. code-block:: + + curl -X 'POST' \ + 'http://localhost:8001/catalogs/djspark/engines/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '[ + { + "name": "spark", + "version": "3.3.2" + } + ]' + +Now you can submit Spark SQL queries. + +.. code-block:: + + curl -X 'POST' \ + 'http://localhost:8001/queries/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "catalog_name": "djspark", + "engine_name": "spark", + "engine_version": "3.3.2", + "submitted_query": "SELECT * FROM roads.us_states LIMIT 10", + "async_": false + }' diff --git a/datajunction-query/alembic.ini b/datajunction-query/alembic.ini new file mode 100644 index 000000000..5716e4937 --- /dev/null +++ b/datajunction-query/alembic.ini @@ -0,0 +1,104 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts +script_location = alembic + +# template used to generate migration files +# file_template = %%(rev)s_%%(slug)s +file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. +prepend_sys_path = . + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the python-dateutil library that can be +# installed by adding `alembic[tz]` to the pip requirements +# string value is passed to dateutil.tz.gettz() +# leave blank for localtime +# timezone = +timezone = UTC + +# max length of characters to apply to the +# "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to alembic/versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "version_path_separator" below. +# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions + +# version path separator; As mentioned above, this is the character used to split +# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep. +# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas. +# Valid values for version_path_separator are: +# +# version_path_separator = : +# version_path_separator = ; +# version_path_separator = space +version_path_separator = os # Use os.pathsep. Default configuration used for new projects. + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +sqlalchemy.url = driver://user:pass@localhost/dbname + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# Logging configuration +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/datajunction-query/alembic/README b/datajunction-query/alembic/README new file mode 100644 index 000000000..2500aa1bc --- /dev/null +++ b/datajunction-query/alembic/README @@ -0,0 +1 @@ +Generic single-database configuration. diff --git a/datajunction-query/alembic/env.py b/datajunction-query/alembic/env.py new file mode 100644 index 000000000..ad9d246fb --- /dev/null +++ b/datajunction-query/alembic/env.py @@ -0,0 +1,84 @@ +""" +Environment for Alembic migrations. +""" + +# pylint: disable=no-member, unused-import, no-name-in-module, import-error +from logging.config import fileConfig + +from sqlalchemy import create_engine + +from alembic import context + +DEFAULT_URI = "postgresql+psycopg://dj:dj@postgres_metadata:5432/dj" + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = context.config + +# Interpret the config file for Python logging. +# This line sets up loggers basically. +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +# add your model's MetaData object here +# for 'autogenerate' support +# from myapp import mymodel +# target_metadata = mymodel.Base.metadata +target_metadata = None # pylint: disable=invalid-name + +# other values from the config, defined by the needs of env.py, +# can be acquired: +# my_important_option = config.get_main_option("my_important_option") +# ... etc. + + +def run_migrations_offline(): + """Run migrations in 'offline' mode. + + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + + Calls to context.execute() here emit the given string to the + script output. + + """ + x_args = context.get_x_argument(as_dictionary=True) + context.configure( + url=x_args.get("uri") or DEFAULT_URI, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + version_table="alembic_version_djqs", + ) + + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online(): + """Run migrations in 'online' mode. + + In this scenario we need to create an Engine + and associate a connection with the context. + + """ + x_args = context.get_x_argument(as_dictionary=True) + connectable = create_engine(x_args.get("uri") or DEFAULT_URI) + + with connectable.connect() as connection: + context.configure( + connection=connection, + target_metadata=target_metadata, + version_table="alembic_version_djqs", + ) + + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/datajunction-query/alembic/script.py.mako b/datajunction-query/alembic/script.py.mako new file mode 100644 index 000000000..1c2bf5315 --- /dev/null +++ b/datajunction-query/alembic/script.py.mako @@ -0,0 +1,27 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +import sqlmodel +from alembic import op +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision = ${repr(up_revision)} +down_revision = ${repr(down_revision)} +branch_labels = ${repr(branch_labels)} +depends_on = ${repr(depends_on)} + + +def upgrade(): + ${upgrades if upgrades else "pass"} + + +def downgrade(): + ${downgrades if downgrades else "pass"} diff --git a/datajunction-query/alembic/versions/2024_09_09_0000-b8f22b3549c7_initial_migration.py b/datajunction-query/alembic/versions/2024_09_09_0000-b8f22b3549c7_initial_migration.py new file mode 100644 index 000000000..3df270c15 --- /dev/null +++ b/datajunction-query/alembic/versions/2024_09_09_0000-b8f22b3549c7_initial_migration.py @@ -0,0 +1,41 @@ +"""Initial migration + +Revision ID: b8f22b3549c7 +Revises: +Create Date: 2024-09-09 06:00:00.000000+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "b8f22b3549c7" +down_revision = None +branch_labels = None +depends_on = None + + +def upgrade(): + op.execute( + """ + CREATE TABLE query ( + id UUID PRIMARY KEY, + catalog_name VARCHAR NOT NULL, + engine_name VARCHAR NOT NULL, + engine_version VARCHAR NOT NULL, + submitted_query VARCHAR NOT NULL, + async_ BOOLEAN NOT NULL, + executed_query VARCHAR, + scheduled TIMESTAMP, + started TIMESTAMP, + finished TIMESTAMP, + state VARCHAR NOT NULL, + progress FLOAT NOT NULL + ) + """, + ) + + +def downgrade(): + op.execute("DROP TABLE query") diff --git a/datajunction-query/config.djqs.yml b/datajunction-query/config.djqs.yml new file mode 100644 index 000000000..805c72f78 --- /dev/null +++ b/datajunction-query/config.djqs.yml @@ -0,0 +1,28 @@ +engines: + - name: duckdb + version: 0.7.1 + type: duckdb + uri: duckdb:////code/docker/default.duckdb + extra_params: + location: /code/docker/default.duckdb + - name: trino + version: 451 + type: sqlalchemy + uri: trino://trino-coordinator:8080/tpch/sf1 + extra_params: + http_scheme: http + user: admin + - name: dj_system + version: '' + type: sqlalchemy + uri: postgresql+psycopg://readonly_user:readonly_pass@postgres_metadata:5432/dj +catalogs: + - name: warehouse + engines: + - duckdb + - name: tpch + engines: + - trino + - name: dj + engines: + - dj_system diff --git a/datajunction-query/config.jsonschema b/datajunction-query/config.jsonschema new file mode 100644 index 000000000..7b7637f39 --- /dev/null +++ b/datajunction-query/config.jsonschema @@ -0,0 +1,83 @@ +{ + "$schema": "http://json-schema.org/draft-06/schema#", + "$ref": "#/definitions/DJQSConfig", + "definitions": { + "DJQSConfig": { + "type": "object", + "additionalProperties": false, + "properties": { + "engines": { + "type": "array", + "items": { + "$ref": "#/definitions/Engine" + } + }, + "catalogs": { + "type": "array", + "items": { + "$ref": "#/definitions/Catalog" + } + } + }, + "required": [ + "catalogs", + "engines" + ], + "title": "DJQSConfig" + }, + "Catalog": { + "type": "object", + "additionalProperties": false, + "properties": { + "name": { + "type": "string" + }, + "engines": { + "type": "array", + "items": { + "type": "string" + } + } + }, + "required": [ + "engines", + "name" + ], + "title": "Catalog" + }, + "Engine": { + "type": "object", + "additionalProperties": false, + "properties": { + "name": { + "type": "string" + }, + "version": { + "type": "string" + }, + "type": { + "type": "string" + }, + "uri": { + "type": "string" + }, + "extra_params": { + "$ref": "#/definitions/ExtraParams" + } + }, + "required": [ + "extra_params", + "name", + "type", + "uri", + "version" + ], + "title": "Engine" + }, + "ExtraParams": { + "type": "object", + "additionalProperties": true, + "title": "ExtraParams" + } + } +} diff --git a/datajunction-query/djqs/__about__.py b/datajunction-query/djqs/__about__.py new file mode 100644 index 000000000..b4596b950 --- /dev/null +++ b/datajunction-query/djqs/__about__.py @@ -0,0 +1,5 @@ +""" +Version for Hatch +""" + +__version__ = "0.0.46" diff --git a/datajunction-query/djqs/__init__.py b/datajunction-query/djqs/__init__.py new file mode 100644 index 000000000..2cff295fb --- /dev/null +++ b/datajunction-query/djqs/__init__.py @@ -0,0 +1,14 @@ +""" +Package version and name. +""" + +from importlib.metadata import PackageNotFoundError, version # pragma: no cover + +try: + # Change here if project is renamed and does not equal the package name + DIST_NAME = __name__ + __version__ = version(DIST_NAME) +except PackageNotFoundError: # pragma: no cover + __version__ = "unknown" +finally: + del version, PackageNotFoundError diff --git a/tests/cli/__init__.py b/datajunction-query/djqs/api/__init__.py similarity index 100% rename from tests/cli/__init__.py rename to datajunction-query/djqs/api/__init__.py diff --git a/datajunction-query/djqs/api/helpers.py b/datajunction-query/djqs/api/helpers.py new file mode 100644 index 000000000..3eddb606f --- /dev/null +++ b/datajunction-query/djqs/api/helpers.py @@ -0,0 +1,46 @@ +""" +Helper functions for API +""" + +from typing import Any, Dict, List, Optional + +from sqlalchemy import create_engine, inspect +from sqlalchemy.exc import NoSuchTableError, OperationalError + +from djqs.exceptions import DJException, DJTableNotFound + + +def get_columns( + table: str, + schema: Optional[str], + catalog: Optional[str], + uri: Optional[str], + extra_params: Optional[Dict[str, Any]], +) -> List[Dict[str, str]]: # pragma: no cover + """ + Return all columns in a given table. + """ + if not uri: + raise DJException("Cannot retrieve columns without a uri") + + engine = create_engine(uri, connect_args=extra_params) + try: + inspector = inspect(engine) + column_metadata = inspector.get_columns( + table, + schema=schema, + ) + except NoSuchTableError as exc: # pylint: disable=broad-except + raise DJTableNotFound( + message=f"No such table `{table}` in schema `{schema}` in catalog `{catalog}`", + http_status_code=404, + ) from exc + except OperationalError as exc: + if "unknown database" in str(exc): + raise DJException(message=f"No such schema `{schema}`") from exc + raise + + return [ + {"name": column["name"], "type": column["type"].python_type.__name__.upper()} + for column in column_metadata + ] diff --git a/datajunction-query/djqs/api/main.py b/datajunction-query/djqs/api/main.py new file mode 100644 index 000000000..0055831bb --- /dev/null +++ b/datajunction-query/djqs/api/main.py @@ -0,0 +1,80 @@ +""" +Main DJ query server app. +""" + +# All the models need to be imported here so that SQLModel can define their +# relationships at runtime without causing circular imports. +# See https://sqlmodel.tiangolo.com/tutorial/code-structure/#make-circular-imports-work. +# pylint: disable=unused-import,expression-not-assigned + +import logging +from contextlib import asynccontextmanager + +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse +from psycopg.rows import dict_row +from psycopg_pool import AsyncConnectionPool + +from djqs import __version__ +from djqs.api import queries, tables +from djqs.exceptions import DJException +from djqs.utils import get_settings + +_logger = logging.getLogger(__name__) + +settings = get_settings() + + +@asynccontextmanager +async def lifespan(fastapi_app: FastAPI): + """ + Create a postgres connection pool and store it in the app state + """ + _logger.info("Starting PostgreSQL connection pool...") + pool = AsyncConnectionPool( + settings.index, + kwargs={"row_factory": dict_row}, + check=AsyncConnectionPool.check_connection, + min_size=5, + max_size=20, + timeout=15, + ) + fastapi_app.state.pool = pool + try: + _logger.info("PostgreSQL connection pool started with DSN: %s", settings.index) + yield + finally: + _logger.info("Closing PostgreSQL connection pool") + await pool.close() + _logger.info("PostgreSQL connection pool closed") + + +app = FastAPI( + title=settings.name, + description=settings.description, + version=__version__, + license_info={ + "name": "MIT License", + "url": "https://mit-license.org/", + }, + lifespan=lifespan, +) +app.include_router(queries.router) +app.include_router(tables.router) + +app.router.lifespan_context = lifespan + + +@app.exception_handler(DJException) +async def dj_exception_handler( # pylint: disable=unused-argument + request: Request, + exc: DJException, +) -> JSONResponse: + """ + Capture errors and return JSON. + """ + return JSONResponse( # pragma: no cover + status_code=exc.http_status_code, + content=exc.to_dict(), + headers={"X-DJ-Error": "true", "X-DBAPI-Exception": exc.dbapi_exception}, + ) diff --git a/datajunction-query/djqs/api/queries.py b/datajunction-query/djqs/api/queries.py new file mode 100644 index 000000000..266ee4242 --- /dev/null +++ b/datajunction-query/djqs/api/queries.py @@ -0,0 +1,265 @@ +""" +Query related APIs. +""" + +import json +import logging +import uuid +from dataclasses import asdict +from http import HTTPStatus +from typing import Any, Dict, List, Optional + +import msgpack +from accept_types import get_best_match +from fastapi import ( + APIRouter, + BackgroundTasks, + Body, + Depends, + Header, + HTTPException, + Request, + Response, +) +from psycopg_pool import AsyncConnectionPool + +from djqs.config import Settings +from djqs.db.postgres import DBQuery, get_postgres_pool +from djqs.engine import process_query +from djqs.models.query import ( + Query, + QueryCreate, + QueryResults, + QueryState, + StatementResults, + decode_results, + encode_results, +) +from djqs.utils import get_settings + +_logger = logging.getLogger(__name__) +router = APIRouter(tags=["SQL Queries"]) + + +@router.post( + "/queries/", + response_model=QueryResults, + status_code=HTTPStatus.OK, + responses={ + 200: { + "content": {"application/msgpack": {}}, + "description": "Return results as JSON or msgpack", + }, + }, +) +async def submit_query( # pylint: disable=too-many-arguments + accept: Optional[str] = Header(None), + *, + settings: Settings = Depends(get_settings), + request: Request, + response: Response, + postgres_pool: AsyncConnectionPool = Depends(get_postgres_pool), + background_tasks: BackgroundTasks, + body: Any = Body( + ..., + example={ + "catalog_name": "warehouse", + "engine_name": "trino", + "engine_version": "451", + "submitted_query": "select * from tpch.sf1.customer limit 10", + }, + ), +) -> QueryResults: + """ + Run or schedule a query. + + This endpoint is different from others in that it accepts both JSON and msgpack, and + can also return JSON or msgpack, depending on HTTP headers. + """ + content_type = request.headers.get("content-type") + if content_type == "application/json": + data = body + elif content_type == "application/msgpack": + data = json.loads(msgpack.unpackb(body, ext_hook=decode_results)) + elif content_type is None: + raise HTTPException( + status_code=HTTPStatus.BAD_REQUEST, + detail="Content type must be specified", + ) + else: + raise HTTPException( + status_code=HTTPStatus.UNPROCESSABLE_ENTITY, + detail=f"Content type not accepted: {content_type}", + ) + + # Set default catalog and engine if not explicitly specified in submitted query + if not data.get("engine_name") and not data.get("engine_version"): + data["engine_name"] = settings.default_engine + data["engine_version"] = settings.default_engine_version + else: + data["engine_name"] = data.get("engine_name") or settings.default_engine + data["engine_version"] = data.get("engine_version") or "" + data["catalog_name"] = data.get("catalog_name") or settings.default_catalog + + create_query = QueryCreate(**data) + + query_with_results = await save_query_and_run( + create_query=create_query, + settings=settings, + response=response, + background_tasks=background_tasks, + postgres_pool=postgres_pool, + headers=request.headers, + ) + + return_type = get_best_match(accept, ["application/json", "application/msgpack"]) + if not return_type: + raise HTTPException( + status_code=HTTPStatus.NOT_ACCEPTABLE, + detail="Client MUST accept: application/json, application/msgpack", + ) + + if return_type == "application/msgpack": + content = msgpack.packb( + asdict(query_with_results), + default=encode_results, + ) + else: + content = json.dumps(asdict(query_with_results), default=str) + + return Response( + content=content, + media_type=return_type, + status_code=response.status_code or HTTPStatus.OK, + ) + + +async def save_query_and_run( # pylint: disable=R0913 + create_query: QueryCreate, + settings: Settings, + response: Response, + background_tasks: BackgroundTasks, + postgres_pool: AsyncConnectionPool, + headers: Optional[Dict[str, str]] = None, +) -> QueryResults: + """ + Store a new query to the DB and run it. + """ + query = Query( + catalog_name=create_query.catalog_name, # type: ignore + engine_name=create_query.engine_name, # type: ignore + engine_version=create_query.engine_version, # type: ignore + submitted_query=create_query.submitted_query, + async_=create_query.async_, + ) + query.state = QueryState.ACCEPTED + + async with postgres_pool.connection() as conn: + results = ( + await DBQuery() + .save_query( + query_id=query.id, + catalog_name=query.catalog_name, + engine_name=query.engine_name, + engine_version=query.engine_version, + submitted_query=query.submitted_query, + async_=query.async_, + state=query.state.value, + ) + .execute(conn=conn) + ) + query_save_result = results[0] + if not query_save_result: # pragma: no cover + raise HTTPException( + status_code=HTTPStatus.NOT_FOUND, + detail="Query failed to save", + ) + + if query.async_: + background_tasks.add_task( + process_query, + settings, + postgres_pool, + query, + headers, + ) + + response.status_code = HTTPStatus.CREATED + return QueryResults( + id=query.id, + catalog_name=query.catalog_name, + engine_name=query.engine_name, + engine_version=query.engine_version, + submitted_query=query.submitted_query, + executed_query=query.executed_query, + state=QueryState.SCHEDULED, + results=[], + errors=[], + ) + + query_results = await process_query( + settings=settings, + postgres_pool=postgres_pool, + query=query, + headers=headers, + ) + return query_results + + +def load_query_results( + settings: Settings, + key: str, +) -> List[StatementResults]: + """ + Load results from backend, if available. + + If ``paginate`` is true we also load the results into the cache, anticipating more + paginated queries. + """ + if settings.results_backend.has(key): + _logger.info("Reading results from results backend") + cached = settings.results_backend.get(key) + query_results = json.loads(cached) + else: # pragma: no cover + _logger.warning("No results found") + query_results = [] + + return query_results + + +@router.get("/queries/{query_id}/", response_model=QueryResults) +async def read_query( + query_id: uuid.UUID, + *, + settings: Settings = Depends(get_settings), + postgres_pool: AsyncConnectionPool = Depends(get_postgres_pool), +) -> QueryResults: + """ + Fetch information about a query. + + For paginated queries we move the data from the results backend to the cache for a + short period, anticipating additional requests. + """ + async with postgres_pool.connection() as conn: + dbquery_results = ( + await DBQuery().get_query(query_id=query_id).execute(conn=conn) + ) + queries = dbquery_results[0] + if not queries: + raise HTTPException( + status_code=HTTPStatus.NOT_FOUND, + detail="Query not found", + ) + query = queries[0] + + query_results = load_query_results(settings, str(query_id)) + + prev = next_ = None + + return QueryResults( + results=query_results, + next=next_, + previous=prev, + errors=[], + **query, + ) diff --git a/datajunction-query/djqs/api/tables.py b/datajunction-query/djqs/api/tables.py new file mode 100644 index 000000000..16af408db --- /dev/null +++ b/datajunction-query/djqs/api/tables.py @@ -0,0 +1,54 @@ +""" +Table related APIs. +""" + +from typing import Optional + +from fastapi import APIRouter, Path, Query + +from djqs.api.helpers import get_columns +from djqs.exceptions import DJInvalidTableRef +from djqs.models.table import TableInfo +from djqs.utils import get_settings + +router = APIRouter(tags=["Table Reflection"]) + + +@router.get("/table/{table}/columns/", response_model=TableInfo) +def table_columns( + table: str = Path(..., example="tpch.sf1.customer"), + engine: Optional[str] = Query(None, example="trino"), + engine_version: Optional[str] = Query(None, example="451"), +) -> TableInfo: + """ + Get column information for a table + """ + table_parts = table.split(".") + if len(table_parts) != 3: + raise DJInvalidTableRef( + http_status_code=422, + message=f"The provided table value `{table}` is invalid. A valid value " + f"for `table` must be in the format `..
`", + ) + settings = get_settings() + if engine: + engine_config = settings.find_engine( + engine_name=engine, + engine_version=engine_version or "", + ) + else: + engine_config = settings.find_engine( + engine_name=settings.default_engine, + engine_version=engine_version or settings.default_engine_version, + ) + external_columns = get_columns( + uri=engine_config.uri, + extra_params=engine_config.extra_params, + catalog=table_parts[0], + schema=table_parts[1], + table=table_parts[2], + ) + return TableInfo( + name=table, + columns=external_columns, + ) diff --git a/datajunction-query/djqs/config.py b/datajunction-query/djqs/config.py new file mode 100644 index 000000000..a77349f07 --- /dev/null +++ b/datajunction-query/djqs/config.py @@ -0,0 +1,199 @@ +""" +Configuration for the query service +""" + +import json +import logging +import os +from datetime import timedelta +from enum import Enum +from typing import Dict, List, Optional + +import toml +import yaml +from cachelib.base import BaseCache +from cachelib.file import FileSystemCache + +from djqs.exceptions import DJUnknownCatalog, DJUnknownEngine + +_logger = logging.getLogger(__name__) + + +class EngineType(Enum): + """ + Supported engine types + """ + + DUCKDB = "duckdb" + SQLALCHEMY = "sqlalchemy" + SNOWFLAKE = "snowflake" + TRINO = "trino" + + +class EngineInfo: # pylint: disable=too-few-public-methods + """ + Information about a query engine + """ + + def __init__( # pylint: disable=too-many-arguments + self, + name: str, + version: str, + type: str, # pylint: disable=redefined-builtin + uri: str, + extra_params: Optional[Dict[str, str]] = None, + ): + self.name = name + self.version = str(version) + self.type = EngineType(type) + self.uri = uri + self.extra_params = extra_params or {} + + +class CatalogInfo: # pylint: disable=too-few-public-methods + """ + Information about a catalog + """ + + def __init__(self, name: str, engines: List[str]): + self.name = name + self.engines = engines + + +class Settings: # pylint: disable=too-many-instance-attributes + """ + Configuration for the query service + """ + + def __init__( # pylint: disable=too-many-arguments,too-many-locals,dangerous-default-value + self, + name: Optional[str] = "DJQS", + description: Optional[str] = "A DataJunction Query Service", + url: Optional[str] = "http://localhost:8001/", + index: Optional[str] = "postgresql://dj:dj@postgres_metadata:5432/djqs", + default_catalog: Optional[str] = "", + default_engine: Optional[str] = "", + default_engine_version: Optional[str] = "", + results_backend: Optional[BaseCache] = None, + results_backend_path: Optional[str] = "/tmp/djqs", + results_backend_timeout: Optional[str] = "0", + paginating_timeout_minutes: Optional[str] = "5", + do_ping_timeout_seconds: Optional[str] = "5", + configuration_file: Optional[str] = None, + engines: Optional[List[EngineInfo]] = None, + catalogs: Optional[List[CatalogInfo]] = None, + ): + self.name: str = os.getenv("NAME", name or "") + self.description: str = os.getenv("DESCRIPTION", description or "") + self.url: str = os.getenv("URL", url or "") + + # SQLAlchemy URI for the metadata database. + self.index: str = os.getenv("INDEX", index or "") + + # The default catalog to use if not specified in query payload + self.default_catalog: str = os.getenv("DEFAULT_CATALOG", default_catalog or "") + + # The default engine to use if not specified in query payload + self.default_engine: str = os.getenv("DEFAULT_ENGINE", default_engine or "") + + # The default engine version to use if not specified in query payload + self.default_engine_version: str = os.getenv( + "DEFAULT_ENGINE_VERSION", + default_engine_version or "", + ) + + # Where to store the results from queries. + self.results_backend: BaseCache = results_backend or FileSystemCache( + os.getenv("RESULTS_BACKEND_PATH", results_backend_path or ""), + default_timeout=int( + os.getenv("RESULTS_BACKEND_TIMEOUT", results_backend_timeout or "0"), + ), + ) + + self.paginating_timeout: timedelta = timedelta( + minutes=int( + os.getenv( + "PAGINATING_TIMEOUT_MINUTES", + paginating_timeout_minutes or "5", + ), + ), + ) + + # How long to wait when pinging databases to find out the fastest online database. + self.do_ping_timeout: timedelta = timedelta( + seconds=int( + os.getenv("DO_PING_TIMEOUT_SECONDS", do_ping_timeout_seconds or "5"), + ), + ) + + # Configuration file for catalogs and engines + self.configuration_file: Optional[str] = ( + os.getenv("CONFIGURATION_FILE") or configuration_file + ) + + self.engines: List[EngineInfo] = engines or [] + self.catalogs: List[CatalogInfo] = catalogs or [] + + self._load_configuration() + + def _load_configuration(self): + config_file = self.configuration_file + + if config_file: + if config_file.endswith(".yaml") or config_file.endswith(".yml"): + with open(config_file, "r", encoding="utf-8") as file: + config = yaml.safe_load(file) + elif config_file.endswith(".toml"): + with open(config_file, "r", encoding="utf-8") as file: + config = toml.load(file) + elif config_file.endswith(".json"): + with open(config_file, "r", encoding="utf-8") as file: + config = json.load(file) + else: + raise ValueError( + f"Unsupported configuration file format: {config_file}", + ) + + self.engines = [ + EngineInfo(**engine) for engine in config.get("engines", []) + ] + self.catalogs = [ + CatalogInfo(**catalog) for catalog in config.get("catalogs", []) + ] + else: + _logger.warning("No settings configuration file has been set") + + def find_engine( + self, + engine_name: str, + engine_version: str, + ) -> EngineInfo: + """ + Find an engine defined in the server configuration + """ + found_engine = None + for engine in self.engines: + if engine.name == engine_name and engine.version == engine_version: + found_engine = engine + if not found_engine: + raise DJUnknownEngine( + ( + f"Configuration error, cannot find engine {engine_name} " + f"with version {engine_version}" + ), + ) + return found_engine + + def find_catalog(self, catalog_name: str) -> CatalogInfo: + """ + Find a catalog defined in the server configuration + """ + found_catalog = None + for catalog in self.catalogs: + if catalog.name == catalog_name: + found_catalog = catalog + if not found_catalog: + raise DJUnknownCatalog( + f"Configuration error, cannot find catalog {catalog_name}", + ) + return found_catalog diff --git a/datajunction-query/djqs/constants.py b/datajunction-query/djqs/constants.py new file mode 100644 index 000000000..3feceffd4 --- /dev/null +++ b/datajunction-query/djqs/constants.py @@ -0,0 +1,20 @@ +""" +Useful constants. +""" + +from datetime import timedelta +from uuid import UUID + +DJ_DATABASE_ID = 0 +DJ_DATABASE_UUID = UUID("594804bf-47cb-426c-83c4-94a348e95972") +SQLITE_DATABASE_ID = -1 +SQLITE_DATABASE_UUID = UUID("3619eeba-d628-4ab1-9dd5-65738ab3c02f") + +DEFAULT_DIMENSION_COLUMN = "id" + +# used by the SQLAlchemy client +QUERY_EXECUTE_TIMEOUT = timedelta(seconds=60) +GET_COLUMNS_TIMEOUT = timedelta(seconds=60) + +# Request header configuration params +SQLALCHEMY_URI = "SQLALCHEMY_URI" diff --git a/datajunction-query/djqs/db/postgres.py b/datajunction-query/djqs/db/postgres.py new file mode 100644 index 000000000..5d9522cf7 --- /dev/null +++ b/datajunction-query/djqs/db/postgres.py @@ -0,0 +1,139 @@ +""" +Dependency for getting the postgres pool and running backend DB queries +""" + +# pylint: disable=too-many-arguments +from datetime import datetime +from typing import List +from uuid import UUID + +from fastapi import Request +from psycopg import sql +from psycopg_pool import AsyncConnectionPool + +from djqs.exceptions import DJDatabaseError + + +async def get_postgres_pool(request: Request) -> AsyncConnectionPool: + """ + Get the postgres pool from the app instance + """ + app = request.app + return app.state.pool + + +class DBQuery: + """ + Metadata DB queries using the psycopg composition utility + """ + + def __init__(self): + self._reset() + + def _reset(self): + self.selects: List = [] + self.inserts: List = [] + + def get_query(self, query_id: UUID): + """ + Get metadata about a query + """ + self.selects.append( + sql.SQL( + """ + SELECT id, catalog_name, engine_name, engine_version, submitted_query, + async_, executed_query, scheduled, started, finished, state, progress + FROM query + WHERE id = {query_id} + """, + ).format(query_id=sql.Literal(query_id)), + ) + return self + + def save_query( + self, + query_id: UUID, + catalog_name: str = "", + engine_name: str = "", + engine_version: str = "", + submitted_query: str = "", + async_: bool = False, + state: str = "", + progress: float = 0.0, + executed_query: str = None, + scheduled: datetime = None, + started: datetime = None, + finished: datetime = None, + ): + """ + Save metadata about a query + """ + self.inserts.append( + sql.SQL( + """ + INSERT INTO query (id, catalog_name, engine_name, engine_version, + submitted_query, async_, executed_query, scheduled, + started, finished, state, progress) + VALUES ({query_id}, {catalog_name}, {engine_name}, {engine_version}, + {submitted_query}, {async_}, {executed_query}, {scheduled}, + {started}, {finished}, {state}, {progress}) + ON CONFLICT (id) DO UPDATE SET + catalog_name = EXCLUDED.catalog_name, + engine_name = EXCLUDED.engine_name, + engine_version = EXCLUDED.engine_version, + submitted_query = EXCLUDED.submitted_query, + async_ = EXCLUDED.async_, + executed_query = EXCLUDED.executed_query, + scheduled = EXCLUDED.scheduled, + started = EXCLUDED.started, + finished = EXCLUDED.finished, + state = EXCLUDED.state, + progress = EXCLUDED.progress + RETURNING * + """, + ).format( + query_id=sql.Literal(query_id), + catalog_name=sql.Literal(catalog_name), + engine_name=sql.Literal(engine_name), + engine_version=sql.Literal(engine_version), + submitted_query=sql.Literal(submitted_query), + async_=sql.Literal(async_), + executed_query=sql.Literal(executed_query), + scheduled=sql.Literal(scheduled), + started=sql.Literal(started), + finished=sql.Literal(finished), + state=sql.Literal(state), + progress=sql.Literal(progress), + ), + ) + return self + + async def execute(self, conn): + """ + Submit all statements to the backend DB, multiple statements are submitted together + """ + if not self.selects and not self.inserts: # pragma: no cover + return + + async with conn.cursor() as cur: + results = [] + if len(self.inserts) > 1: # pragma: no cover + async with conn.transaction(): + for statement in self.inserts: + await cur.execute(statement) + results.append(await cur.fetchall()) + + if len(self.inserts) == 1: + await cur.execute(self.inserts[0]) + if cur.rowcount == 0: # pragma: no cover + raise DJDatabaseError( + "Insert statement resulted in no records being inserted", + ) + results.append((await cur.fetchone())) + if self.selects: + for statement in self.selects: + await cur.execute(statement) + results.append(await cur.fetchall()) + await conn.commit() + self._reset() + return results diff --git a/datajunction-query/djqs/engine.py b/datajunction-query/djqs/engine.py new file mode 100644 index 000000000..b1c2a93a8 --- /dev/null +++ b/datajunction-query/djqs/engine.py @@ -0,0 +1,258 @@ +""" +Query related functions. +""" + +import json +import logging +import os +from dataclasses import asdict +from datetime import date, datetime, timezone +from typing import Dict, List, Optional, Tuple + +import duckdb +import snowflake.connector +from psycopg_pool import AsyncConnectionPool +from sqlalchemy import create_engine, text + +from djqs.config import EngineType, Settings +from djqs.constants import SQLALCHEMY_URI +from djqs.db.postgres import DBQuery +from djqs.exceptions import DJDatabaseError +from djqs.models.query import ( + ColumnMetadata, + Query, + QueryResults, + QueryState, + StatementResults, +) +from djqs.typing import ColumnType, Description, SQLADialect, Stream, TypeEnum +from djqs.utils import get_settings + +_logger = logging.getLogger(__name__) + + +def get_columns_from_description( + description: Description, + dialect: SQLADialect, +) -> List[ColumnMetadata]: + """ + Extract column metadata from the cursor description. + + For now this uses the information from the cursor description, which only allow us to + distinguish between 4 types (see ``TypeEnum``). In the future we should use a type + inferrer to determine the types based on the query. + """ + type_map = { + TypeEnum.STRING: ColumnType.STR, + TypeEnum.BINARY: ColumnType.BYTES, + TypeEnum.NUMBER: ColumnType.FLOAT, + TypeEnum.DATETIME: ColumnType.DATETIME, + } + + columns = [] + for column in description or []: + name, native_type = column[:2] + for dbapi_type in TypeEnum: + if native_type == getattr( + dialect.dbapi, + dbapi_type.value, + None, + ): # pragma: no cover + type_ = type_map[dbapi_type] + break + else: + # fallback to string + type_ = ColumnType.STR # pragma: no cover + + columns.append(ColumnMetadata(name=name, type=type_)) + + return columns + + +def run_query( # pylint: disable=R0914 + query: Query, + headers: Optional[Dict[str, str]] = None, +) -> List[Tuple[str, List[ColumnMetadata], Stream]]: + """ + Run a query and return its results. + + For each statement we return a tuple with the statement SQL, a description of the + columns (name and type) and a stream of rows (tuples). + """ + + _logger.info("Running query on catalog %s", query.catalog_name) + + settings = get_settings() + engine_name = query.engine_name or settings.default_engine + engine_version = query.engine_version + engine = settings.find_engine( + engine_name=engine_name, + engine_version=engine_version, + ) + query_server = headers.get(SQLALCHEMY_URI) if headers else None + + if query_server: + _logger.info( + "Creating sqlalchemy engine using request header param %s", + SQLALCHEMY_URI, + ) + sqla_engine = create_engine(query_server) + elif engine.type == EngineType.DUCKDB: + _logger.info("Creating duckdb connection") + conn = ( + duckdb.connect() + if engine.uri == "duckdb:///:memory:" + else duckdb.connect( + database=engine.extra_params["location"], + read_only=True, + ) + ) + return run_duckdb_query(query, conn) + elif engine.type == EngineType.SNOWFLAKE: + _logger.info("Creating snowflake connection") + conn = snowflake.connector.connect( + **engine.extra_params, + password=os.getenv("SNOWSQL_PWD"), + ) + cur = conn.cursor() + + return run_snowflake_query(query, cur) + + _logger.info( + "Creating sqlalchemy engine using engine name and version defined on query", + ) + sqla_engine = create_engine(engine.uri, connect_args=engine.extra_params) + connection = sqla_engine.connect() + + output: List[Tuple[str, List[ColumnMetadata], Stream]] = [] + results = connection.execute(text(query.executed_query)) + stream = (tuple(row) for row in results) + columns = get_columns_from_description( + results.cursor.description, + sqla_engine.dialect, + ) + output.append((query.executed_query, columns, stream)) # type: ignore + + return output + + +def run_duckdb_query( + query: Query, + conn: duckdb.DuckDBPyConnection, +) -> List[Tuple[str, List[ColumnMetadata], Stream]]: + """ + Run a duckdb query against the local duckdb database + """ + output: List[Tuple[str, List[ColumnMetadata], Stream]] = [] + rows = conn.execute(query.submitted_query).fetchall() + columns: List[ColumnMetadata] = [] + output.append((query.submitted_query, columns, rows)) + return output + + +def run_snowflake_query( + query: Query, + cur: snowflake.connector.cursor.SnowflakeCursor, +) -> List[Tuple[str, List[ColumnMetadata], Stream]]: + """ + Run a query against a snowflake warehouse + """ + output: List[Tuple[str, List[ColumnMetadata], Stream]] = [] + rows = cur.execute(query.submitted_query).fetchall() + columns: List[ColumnMetadata] = [] + output.append((query.submitted_query, columns, rows)) + return output + + +def serialize_for_json(obj): + """ + Handle serialization of date/datetimes for JSON output. + """ + if isinstance(obj, list): + return [serialize_for_json(x) for x in obj] + if isinstance(obj, dict): + return {k: serialize_for_json(v) for k, v in obj.items()} + if isinstance(obj, (date, datetime)): + return obj.isoformat() + return obj + + +async def process_query( + settings: Settings, + postgres_pool: AsyncConnectionPool, + query: Query, + headers: Optional[Dict[str, str]] = None, +) -> QueryResults: + """ + Process a query. + """ + query.scheduled = datetime.now(timezone.utc) + query.state = QueryState.SCHEDULED + query.executed_query = query.submitted_query + + errors = [] + query.started = datetime.now(timezone.utc) + try: + results = [] + for sql, columns, stream in run_query( + query=query, + headers=headers, + ): + rows = list(stream) + results.append( + StatementResults( + sql=sql, + columns=columns, + rows=rows, + row_count=len(rows), + ), + ) + + query.state = QueryState.FINISHED + query.progress = 1.0 + except Exception as ex: # pylint: disable=broad-except + results = [] + query.state = QueryState.FAILED + errors = [str(ex)] + + query.finished = datetime.now(timezone.utc) + + async with postgres_pool.connection() as conn: + dbquery_results = ( + await DBQuery() + .save_query( + query_id=query.id, + submitted_query=query.submitted_query, + state=QueryState.FINISHED.value, + async_=query.async_, + ) + .execute(conn=conn) + ) + query_save_result = dbquery_results[0] + if not query_save_result: # pragma: no cover + raise DJDatabaseError("Query failed to save") + + settings.results_backend.add( + str(query.id), + json.dumps( + serialize_for_json( + [asdict(statement_result) for statement_result in results], + ), + ), + ) + + return QueryResults( + id=query.id, + catalog_name=query.catalog_name, + engine_name=query.engine_name, + engine_version=query.engine_version, + submitted_query=query.submitted_query, + executed_query=query.executed_query, + scheduled=query.scheduled, + started=query.started, + finished=query.finished, + state=query.state, + progress=query.progress, + results=results, + errors=errors, + ) diff --git a/datajunction-query/djqs/enum.py b/datajunction-query/djqs/enum.py new file mode 100644 index 000000000..699f23561 --- /dev/null +++ b/datajunction-query/djqs/enum.py @@ -0,0 +1,22 @@ +""" +Backwards-compatible StrEnum for both Python >= and < 3.11 +""" + +import enum +import sys + +if sys.version_info >= (3, 11): + from enum import ( # noqa # pylint: disable=unused-import # pragma: no cover + IntEnum, + StrEnum, + ) +else: + + class StrEnum(str, enum.Enum): # pragma: no cover + """Backwards compatible StrEnum for Python < 3.11""" # pragma: no cover + + def __str__(self): + return str(self.value) + + class IntEnum(int, enum.Enum): # pragma: no cover + """Backwards compatible IntEnum for Python < 3.11""" # pragma: no cover diff --git a/datajunction-query/djqs/exceptions.py b/datajunction-query/djqs/exceptions.py new file mode 100644 index 000000000..e9ee58169 --- /dev/null +++ b/datajunction-query/djqs/exceptions.py @@ -0,0 +1,270 @@ +""" +Errors and warnings. +""" + +from typing import Any, Dict, List, Literal, Optional, TypedDict + +from djqs.enum import IntEnum + + +class ErrorCode(IntEnum): + """ + Error codes. + """ + + # generic errors + UNKWNON_ERROR = 0 + NOT_IMPLEMENTED_ERROR = 1 + ALREADY_EXISTS = 2 + + # metric API + INVALID_FILTER_PATTERN = 100 + INVALID_COLUMN_IN_FILTER = 101 + INVALID_VALUE_IN_FILTER = 102 + + # SQL API + INVALID_ARGUMENTS_TO_FUNCTION = 200 + + +class DebugType(TypedDict, total=False): + """ + Type for debug information. + """ + + # link to where an issue can be filed + issue: str + + # link to documentation about the problem + documentation: str + + # any additional context + context: Dict[str, Any] + + +class DJErrorType(TypedDict): + """ + Type for serialized errors. + """ + + code: int + message: str + debug: Optional[DebugType] + + +class DJError: + """ + An error. + """ + + def __init__( + self, + code: ErrorCode, + message: str, + debug: Optional[Dict[str, Any]] = None, + ): + self.code = code + self.message = message + self.debug = debug + + def __str__(self) -> str: + """ + Format the error nicely. + """ + return f"{self.message} (error code: {self.code})" + + def dict(self) -> Dict[str, Any]: + """ + Convert the error to a dictionary. + """ + return { + "code": self.code, + "message": self.message, + "debug": self.debug, + } + + +class DJWarningType(TypedDict): + """ + Type for serialized warnings. + """ + + code: Optional[int] + message: str + debug: Optional[DebugType] + + +class DJWarning: # pylint: disable=too-few-public-methods + """ + A warning. + """ + + def __init__( + self, + message: str, + code: Optional[ErrorCode] = None, + debug: Optional[Dict[str, Any]] = None, + ): + self.code = code + self.message = message + self.debug = debug + + def dict(self) -> Dict[str, Any]: + """ + Convert the warning to a dictionary. + """ + return { + "code": self.code, + "message": self.message, + "debug": self.debug, + } + + +DBAPIExceptions = Literal[ + "Warning", + "Error", + "InterfaceError", + "DatabaseError", + "DataError", + "OperationalError", + "IntegrityError", + "InternalError", + "ProgrammingError", + "NotSupportedError", +] + + +class DJExceptionType(TypedDict): + """ + Type for serialized exceptions. + """ + + message: Optional[str] + errors: List[DJErrorType] + warnings: List[DJWarningType] + + +class DJException(Exception): + """ + Base class for errors. + """ + + def __init__( # pylint: disable=too-many-arguments + self, + message: Optional[str] = None, + errors: Optional[List[DJError]] = None, + warnings: Optional[List[DJWarning]] = None, + dbapi_exception: Optional[DBAPIExceptions] = None, + http_status_code: Optional[int] = None, + ): + self.errors = errors or [] + self.warnings = warnings or [] + self.message = message or "\n".join(error.message for error in self.errors) + self.dbapi_exception = dbapi_exception or "Error" + self.http_status_code = http_status_code or 500 + + super().__init__(self.message) + + def to_dict(self) -> dict: + """ + Convert to dict. + """ + return { # pragma: no cover + "message": self.message, + "errors": [error.dict() for error in self.errors], + "warnings": [warning.dict() for warning in self.warnings], + } + + def __str__(self) -> str: + """ + Format the exception nicely. + """ + if not self.errors: + return self.message + + plural = "s" if len(self.errors) > 1 else "" + combined_errors = "\n".join(f"- {error}" for error in self.errors) + errors = f"The following error{plural} happened:\n{combined_errors}" + + return f"{self.message}\n{errors}" + + def __eq__(self, other) -> bool: + return ( # pragma: no cover + isinstance(other, DJException) + and self.message == other.message + and self.errors == other.errors + and self.warnings == other.warnings + and self.dbapi_exception == other.dbapi_exception + and self.http_status_code == other.http_status_code + ) + + +class DJInvalidInputException(DJException): + """ + Exception raised when the input provided by the user is invalid. + """ + + def __init__(self, *args, **kwargs): + super().__init__( + *args, + dbapi_exception="ProgrammingError", + http_status_code=422, + **kwargs, + ) + + +class DJNotImplementedException(DJException): + """ + Exception raised when some functionality hasn't been implemented in DJ yet. + """ + + def __init__(self, *args, **kwargs): + super().__init__( + *args, + dbapi_exception="NotSupportedError", + http_status_code=500, + **kwargs, + ) + + +class DJInternalErrorException(DJException): + """ + Exception raised when we do something wrong in the code. + """ + + def __init__(self, *args, **kwargs): + super().__init__( + *args, + dbapi_exception="InternalError", + http_status_code=500, + **kwargs, + ) + + +class DJInvalidTableRef(DJException): + """ + Raised for invalid table values + """ + + +class DJTableNotFound(DJException): + """ + Raised for tables that cannot be found + """ + + +class DJDatabaseError(DJException): + """ + Ran into an issue while submitting a query to the backend DB + """ + + +class DJUnknownCatalog(DJException): + """ + Raised when a catalog cannot be found + """ + + +class DJUnknownEngine(DJException): + """ + Raised when an engine or engine version cannot be found + """ diff --git a/datajunction-query/djqs/fixes.py b/datajunction-query/djqs/fixes.py new file mode 100644 index 000000000..2d348e839 --- /dev/null +++ b/datajunction-query/djqs/fixes.py @@ -0,0 +1,3 @@ +""" +Database-specific fixes. +""" diff --git a/datajunction-query/djqs/models/__init__.py b/datajunction-query/djqs/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-query/djqs/models/query.py b/datajunction-query/djqs/models/query.py new file mode 100644 index 000000000..61e788d66 --- /dev/null +++ b/datajunction-query/djqs/models/query.py @@ -0,0 +1,137 @@ +""" +Models for queries. +""" + +import uuid +from dataclasses import dataclass, field +from datetime import datetime +from typing import Any, List, Optional +from uuid import UUID, uuid4 + +import msgpack + +from djqs.enum import IntEnum +from djqs.typing import QueryState, Row + + +@dataclass +class BaseQuery: + """ + Base class for query models. + """ + + catalog_name: Optional[str] = None + engine_name: Optional[str] = None + engine_version: Optional[str] = None + + +@dataclass +class Query(BaseQuery): # pylint: disable=too-many-instance-attributes + """ + A query. + """ + + id: UUID = field(default_factory=uuid4) # pylint: disable=invalid-name + submitted_query: str = "" + catalog_name: str = "" + engine_name: str = "" + engine_version: str = "" + async_: bool = False + executed_query: Optional[str] = None + scheduled: Optional[datetime] = None + started: Optional[datetime] = None + finished: Optional[datetime] = None + state: QueryState = QueryState.UNKNOWN + progress: float = 0.0 + + +@dataclass +class QueryCreate(BaseQuery): + """ + Model for submitted queries. + """ + + submitted_query: str = "" + async_: bool = False + + +@dataclass +class ColumnMetadata: + """ + A simple model for column metadata. + """ + + name: str + type: str + + +@dataclass +class StatementResults: + """ + Results for a given statement. + + This contains the SQL, column names and types, and rows + """ + + sql: str + columns: List[ColumnMetadata] = field(default_factory=list) + rows: List[Row] = field(default_factory=list) + row_count: int = 0 # used for pagination + + +@dataclass +class QueryResults(BaseQuery): # pylint: disable=too-many-instance-attributes + """ + Model for query with results. + """ + + id: uuid.UUID = field(default_factory=uuid4) # pylint: disable=invalid-name + engine_name: Optional[str] = None + engine_version: Optional[str] = None + submitted_query: str = "" + executed_query: Optional[str] = None + scheduled: Optional[datetime] = None + started: Optional[datetime] = None + finished: Optional[datetime] = None + state: QueryState = QueryState.UNKNOWN + async_: bool = False + progress: float = 0.0 + results: List[StatementResults] = field(default_factory=list) + next: Optional[str] = None # Changed to str, as AnyHttpUrl was from pydantic + previous: Optional[str] = None # Changed to str, as AnyHttpUrl was from pydantic + errors: List[str] = field(default_factory=list) + + +class QueryExtType(IntEnum): + """ + Custom ext type for msgpack. + """ + + UUID = 1 + DATETIME = 2 + + +def encode_results(obj: Any) -> Any: + """ + Custom msgpack encoder for ``QueryWithResults``. + """ + if isinstance(obj, uuid.UUID): + return msgpack.ExtType(QueryExtType.UUID, str(obj).encode("utf-8")) + + if isinstance(obj, datetime): + return msgpack.ExtType(QueryExtType.DATETIME, obj.isoformat().encode("utf-8")) + + return obj # pragma: no cover + + +def decode_results(code: int, data: bytes) -> Any: + """ + Custom msgpack decoder for ``QueryWithResults``. + """ + if code == QueryExtType.UUID: + return uuid.UUID(data.decode()) + + if code == QueryExtType.DATETIME: + return datetime.fromisoformat(data.decode()) + + return msgpack.ExtType(code, data) # pragma: no cover diff --git a/datajunction-query/djqs/models/table.py b/datajunction-query/djqs/models/table.py new file mode 100644 index 000000000..5ab7a872e --- /dev/null +++ b/datajunction-query/djqs/models/table.py @@ -0,0 +1,16 @@ +""" +Models for use in table API requests and responses +""" + +from typing import Dict, List + +from pydantic import BaseModel + + +class TableInfo(BaseModel): + """ + Table information + """ + + name: str + columns: List[Dict[str, str]] diff --git a/datajunction-query/djqs/typing.py b/datajunction-query/djqs/typing.py new file mode 100644 index 000000000..e8f95e101 --- /dev/null +++ b/datajunction-query/djqs/typing.py @@ -0,0 +1,326 @@ +""" +Custom types for annotations. +""" + +# pylint: disable=missing-class-docstring + +from __future__ import annotations + +from types import ModuleType +from typing import Any, Iterator, List, Literal, Optional, Tuple, TypedDict, Union + +from typing_extensions import Protocol + +from djqs.enum import StrEnum + + +class SQLADialect(Protocol): # pylint: disable=too-few-public-methods + """ + A SQLAlchemy dialect. + """ + + dbapi: ModuleType + + +# The ``type_code`` in a cursor description -- can really be anything +TypeCode = Any + + +# Cursor description +Description = Optional[ + List[ + Tuple[ + str, + TypeCode, + Optional[str], + Optional[str], + Optional[str], + Optional[str], + Optional[bool], + ] + ] +] + + +# A stream of data +Row = Tuple[Any, ...] +Stream = Iterator[Row] + + +class ColumnType(StrEnum): + """ + Types for columns. + + These represent the values from the ``python_type`` attribute in SQLAlchemy columns. + """ + + BYTES = "BYTES" + STR = "STR" + FLOAT = "FLOAT" + INT = "INT" + DECIMAL = "DECIMAL" + BOOL = "BOOL" + DATETIME = "DATETIME" + DATE = "DATE" + TIME = "TIME" + TIMEDELTA = "TIMEDELTA" + LIST = "LIST" + DICT = "DICT" + + +class TypeEnum(StrEnum): + """ + PEP 249 basic types. + + Unfortunately SQLAlchemy doesn't seem to offer an API for determining the types of the + columns in a (SQL Core) query, and the DB API 2.0 cursor only offers very coarse + types. + """ + + STRING = "STRING" + BINARY = "BINARY" + NUMBER = "NUMBER" + DATETIME = "DATETIME" + UNKNOWN = "UNKNOWN" + + +class QueryState(StrEnum): + """ + Different states of a query. + """ + + UNKNOWN = "UNKNOWN" + ACCEPTED = "ACCEPTED" + SCHEDULED = "SCHEDULED" + RUNNING = "RUNNING" + FINISHED = "FINISHED" + CANCELED = "CANCELED" + FAILED = "FAILED" + + +# sqloxide type hints +# Reference: https://github.com/sqlparser-rs/sqlparser-rs/blob/main/src/ast/query.rs + + +class Value(TypedDict, total=False): + Number: Tuple[str, bool] + SingleQuotedString: str + Boolean: bool + + +class Limit(TypedDict): + Value: Value + + +class Identifier(TypedDict): + quote_style: Optional[str] + value: str + + +class Bound(TypedDict, total=False): + Following: int + Preceding: int + + +class WindowFrame(TypedDict): + end_bound: Bound + start_bound: Bound + units: str + + +class Expression(TypedDict, total=False): + CompoundIdentifier: List["Identifier"] + Identifier: Identifier + Value: Value + Function: Function # type: ignore + UnaryOp: UnaryOp # type: ignore + BinaryOp: BinaryOp # type: ignore + Case: Case # type: ignore + + +class Case(TypedDict): + conditions: List[Expression] + else_result: Optional[Expression] + operand: Optional[Expression] + results: List[Expression] + + +class UnnamedArgument(TypedDict): + Expr: Expression + + +class Argument(TypedDict, total=False): + Unnamed: Union[UnnamedArgument, Wildcard] + + +class Over(TypedDict): + order_by: List[Expression] + partition_by: List[Expression] + window_frame: WindowFrame + + +class Function(TypedDict): + args: List[Argument] + distinct: bool + name: List[Identifier] + over: Optional[Over] + + +class ExpressionWithAlias(TypedDict): + alias: Identifier + expr: Expression + + +class Offset(TypedDict): + rows: str + value: Expression + + +class OrderBy(TypedDict, total=False): + asc: Optional[bool] + expr: Expression + nulls_first: Optional[bool] + + +class Projection(TypedDict, total=False): + ExprWithAlias: ExpressionWithAlias + UnnamedExpr: Expression + + +Wildcard = Literal["Wildcard"] + + +class Fetch(TypedDict): + percent: bool + quantity: Value + with_ties: bool + + +Top = Fetch + + +class UnaryOp(TypedDict): + op: str + expr: Expression + + +class BinaryOp(TypedDict): + left: Expression + op: str + right: Expression + + +class LateralView(TypedDict): + lateral_col_alias: List[Identifier] + lateral_view: Expression + lateral_view_name: List[Identifier] + outer: bool + + +class TableAlias(TypedDict): + columns: List[Identifier] + name: Identifier + + +class Table(TypedDict): + alias: Optional[TableAlias] + args: List[Argument] + name: List[Identifier] + with_hints: List[Expression] + + +class Derived(TypedDict): + lateral: bool + subquery: "Body" # type: ignore + alias: Optional[TableAlias] + + +class Relation(TypedDict, total=False): + Table: Table + Derived: Derived + + +class JoinConstraint(TypedDict): + On: Expression + Using: List[Identifier] + + +class JoinOperator(TypedDict, total=False): + Inner: JoinConstraint + LeftOuter: JoinConstraint + RightOuter: JoinConstraint + FullOuter: JoinConstraint + + +CrossJoin = Literal["CrossJoin"] +CrossApply = Literal["CrossApply"] +OuterApply = Literal["Outerapply"] + + +class Join(TypedDict): + join_operator: Union[JoinOperator, CrossJoin, CrossApply, OuterApply] + relation: Relation + + +class From(TypedDict): + joins: List[Join] + relation: Relation + + +Select = TypedDict( + "Select", + { + "cluster_by": List[Expression], + "distinct": bool, + "distribute_by": List[Expression], + "from": List[From], + "group_by": List[Expression], + "having": Optional[BinaryOp], + "lateral_views": List[LateralView], + "projection": List[Union[Projection, Wildcard]], + "selection": Optional[BinaryOp], + "sort_by": List[Expression], + "top": Optional[Top], + }, +) + + +class Body(TypedDict): + Select: Select + + +CTETable = TypedDict( + "CTETable", + { + "alias": TableAlias, + "from": Optional[Identifier], + "query": "Query", # type: ignore + }, +) + + +class With(TypedDict): + cte_tables: List[CTETable] + + +Query = TypedDict( + "Query", + { + "body": Body, + "fetch": Optional[Fetch], + "limit": Optional[Limit], + "lock": Optional[Literal["Share", "Update"]], + "offset": Optional[Offset], + "order_by": List[OrderBy], + "with": Optional[With], + }, +) + + +# We could support more than just ``SELECT`` here. +class Statement(TypedDict): + Query: Query + + +# A parse tree, result of ``sqloxide.parse_sql``. +ParseTree = List[Statement] # type: ignore diff --git a/datajunction-query/djqs/utils.py b/datajunction-query/djqs/utils.py new file mode 100644 index 000000000..3de2be627 --- /dev/null +++ b/datajunction-query/djqs/utils.py @@ -0,0 +1,41 @@ +""" +Utility functions. +""" +# pylint: disable=line-too-long + +import logging +import os +from functools import lru_cache + +from dotenv import load_dotenv +from rich.logging import RichHandler + +from djqs.config import Settings + + +def setup_logging(loglevel: str) -> None: + """ + Setup basic logging. + """ + level = getattr(logging, loglevel.upper(), None) + if not isinstance(level, int): + raise ValueError(f"Invalid log level: {loglevel}") + + logformat = "[%(asctime)s] %(levelname)s: %(name)s: %(message)s" + logging.basicConfig( + level=level, + format=logformat, + datefmt="[%X]", + handlers=[RichHandler(rich_tracebacks=True)], + force=True, + ) + + +@lru_cache(1) +def get_settings() -> Settings: + """ + Return a cached settings object. + """ + dotenv_file = os.environ.get("DOTENV_FILE", ".env") + load_dotenv(dotenv_file) + return Settings() diff --git a/datajunction-query/docker/cockroachdb/cockroachdb_examples_init.sql b/datajunction-query/docker/cockroachdb/cockroachdb_examples_init.sql new file mode 100644 index 000000000..6887b966f --- /dev/null +++ b/datajunction-query/docker/cockroachdb/cockroachdb_examples_init.sql @@ -0,0 +1,35 @@ +CREATE DATABASE steam; +CREATE TABLE steam.playtime(user_id VARCHAR, game VARCHAR, behavior VARCHAR, amount FLOAT, zero INT); + +IMPORT INTO steam.playtime (user_id, game, behavior, amount, zero) +CSV DATA ( + 'nodelocal://self/steam-hours-played.csv' +); + +CREATE TABLE steam.games( + url VARCHAR, + types VARCHAR, + name VARCHAR, + desc_snippet VARCHAR, + recent_reviews VARCHAR, + all_reviews VARCHAR, + release_date VARCHAR, + developer VARCHAR, + publisher VARCHAR, + popular_tags VARCHAR, + game_details VARCHAR, + languages VARCHAR, + achievements VARCHAR, + genre VARCHAR, + game_description VARCHAR, + mature_content VARCHAR, + minimum_requirements VARCHAR, + recommended_requirements VARCHAR, + original_price VARCHAR, + discount_price VARCHAR +); + +IMPORT INTO steam.games (url,types,name,desc_snippet,recent_reviews,all_reviews,release_date,developer,publisher,popular_tags,game_details,languages,achievements,genre,game_description,mature_content,minimum_requirements,recommended_requirements,original_price,discount_price) +CSV DATA ( + 'nodelocal://self/steam-games.csv' +); diff --git a/datajunction-query/docker/cockroachdb/cockroachdb_metadata_init.sql b/datajunction-query/docker/cockroachdb/cockroachdb_metadata_init.sql new file mode 100644 index 000000000..3e196982b --- /dev/null +++ b/datajunction-query/docker/cockroachdb/cockroachdb_metadata_init.sql @@ -0,0 +1 @@ +CREATE DATABASE djqs; diff --git a/datajunction-query/docker/cockroachdb/steam-games.csv b/datajunction-query/docker/cockroachdb/steam-games.csv new file mode 100644 index 000000000..da70b3ce4 --- /dev/null +++ b/datajunction-query/docker/cockroachdb/steam-games.csv @@ -0,0 +1,19 @@ +https://store.steampowered.com/app/379720/DOOM/,app,DOOM,"Now includes all three premium DLC packs (Unto the Evil, Hell Followed, and Bloodfall), maps, modes, and weapons, as well as all feature updates including Arcade Mode, Photo Mode, and the latest Update 6.66, which brings further multiplayer improvements as well as revamps multiplayer progression.","Very Positive,(554),- 89% of the 554 user reviews in the last 30 days are positive.","Very Positive,(42,550),- 92% of the 42,550 user reviews for this game are positive.","May 12, 2016",id Software,"Bethesda Softworks,Bethesda Softworks","FPS,Gore,Action,Demons,Shooter,First-Person,Great Soundtrack,Multiplayer,Singleplayer,Fast-Paced,Sci-fi,Horror,Classic,Atmospheric,Difficult,Blood,Remake,Zombies,Co-op,Memes","Single-player,Multi-player,Co-op,Steam Achievements,Steam Trading Cards,Partial Controller Support,Steam Cloud","English,French,Italian,German,Spanish - Spain,Japanese,Polish,Portuguese - Brazil,Russian,Traditional Chinese",54,Action," About This Game Developed by id software, the studio that pioneered the first-person shooter genre and created multiplayer Deathmatch, DOOM returns as a brutally fun and challenging modern-day shooter experience. Relentless demons, impossibly destructive guns, and fast, fluid movement provide the foundation for intense, first-person combat – whether you’re obliterating demon hordes through the depths of Hell in the single-player campaign, or competing against your friends in numerous multiplayer modes. Expand your gameplay experience using DOOM SnapMap game editor to easily create, play, and share your content with the world. STORY: You’ve come here for a reason. The Union Aerospace Corporation’s massive research facility on Mars is overwhelmed by fierce and powerful demons, and only one person stands between their world and ours. As the lone DOOM Marine, you’ve been activated to do one thing – kill them all. KEY FEATURES: A Relentless Campaign There is no taking cover or stopping to regenerate health as you beat back Hell’s raging demon hordes. Combine your arsenal of futuristic and iconic guns, upgrades, movement and an advanced melee system to knock-down, slash, stomp, crush, and blow apart demons in creative and violent ways. Return of id Multiplayer Dominate your opponents in DOOM’s signature, fast-paced arena-style combat. In both classic and all-new game modes, annihilate your enemies utilizing your personal blend of skill, powerful weapons, vertical movement, and unique power-ups that allow you to play as a demon. Endless Possibilities DOOM SnapMap – a powerful, but easy-to-use game and level editor – allows for limitless gameplay experiences on every platform. Without any previous experience or special expertise, any player can quickly and easily snap together and visually customize maps, add pre-defined or completely custom gameplay, and even edit game logic to create new modes. Instantly play your creation, share it with a friend, or make it available to players around the world – all in-game with the push of a button. ",,"Minimum:,OS:,Windows 7/8.1/10 (64-bit versions),Processor:,Intel Core i5-2400/AMD FX-8320 or better,Memory:,8 GB RAM,Graphics:,NVIDIA GTX 670 2GB/AMD Radeon HD 7870 2GB or better,Storage:,55 GB available space,Additional Notes:,Requires Steam activation and broadband internet connection for Multiplayer and SnapMap","Recommended:,OS:,Windows 7/8.1/10 (64-bit versions),Processor:,Intel Core i7-3770/AMD FX-8350 or better,Memory:,8 GB RAM,Graphics:,NVIDIA GTX 970 4GB/AMD Radeon R9 290 4GB or better,Storage:,55 GB available space,Additional Notes:,Requires Steam activation and broadband internet connection for Multiplayer and SnapMap",$19.99,$14.99 +https://store.steampowered.com/app/578080/PLAYERUNKNOWNS_BATTLEGROUNDS/,app,PLAYERUNKNOWN'S BATTLEGROUNDS,PLAYERUNKNOWN'S BATTLEGROUNDS is a battle royale shooter that pits 100 players against each other in a struggle for survival. Gather supplies and outwit your opponents to become the last person standing.,"Mixed,(6,214),- 49% of the 6,214 user reviews in the last 30 days are positive.","Mixed,(836,608),- 49% of the 836,608 user reviews for this game are positive.","Dec 21, 2017",PUBG Corporation,"PUBG Corporation,PUBG Corporation","Survival,Shooter,Multiplayer,Battle Royale,PvP,FPS,Third-Person Shooter,Action,Online Co-Op,Tactical,Co-op,First-Person,Early Access,Strategy,Competitive,Third Person,Team-Based,Difficult,Simulation,Stealth","Multi-player,Online Multi-Player,Stats","English,Korean,Simplified Chinese,French,German,Spanish - Spain,Arabic,Japanese,Polish,Portuguese,Russian,Turkish,Thai,Italian,Portuguese - Brazil,Traditional Chinese,Ukrainian",37,"Action,Adventure,Massively Multiplayer"," About This Game PLAYERUNKNOWN'S BATTLEGROUNDS is a battle royale shooter that pits 100 players against each other in a struggle for survival. Gather supplies and outwit your opponents to become the last person standing. PLAYERUNKNOWN , aka Brendan Greene, is a pioneer of the battle royale genre and the creator of the battle royale game modes in the ARMA series and H1Z1: King of the Kill. At PUBG Corp., Greene is working with a veteran team of developers to make PUBG into the world's premiere battle royale experience."," Mature Content Description The developers describe the content like this: This Game may contain content not appropriate for all ages, or may not be appropriate for viewing at work: Frequent Violence or Gore, General Mature Content ","Minimum:,Requires a 64-bit processor and operating system,OS:,64-bit Windows 7, Windows 8.1, Windows 10,Processor:,Intel Core i5-4430 / AMD FX-6300,Memory:,8 GB RAM,Graphics:,NVIDIA GeForce GTX 960 2GB / AMD Radeon R7 370 2GB,DirectX:,Version 11,Network:,Broadband Internet connection,Storage:,30 GB available space","Recommended:,Requires a 64-bit processor and operating system,OS:,64-bit Windows 7, Windows 8.1, Windows 10,Processor:,Intel Core i5-6600K / AMD Ryzen 5 1600,Memory:,16 GB RAM,Graphics:,NVIDIA GeForce GTX 1060 3GB / AMD Radeon RX 580 4GB,DirectX:,Version 11,Network:,Broadband Internet connection,Storage:,30 GB available space",$29.99, +https://store.steampowered.com/app/637090/BATTLETECH/,app,BATTLETECH,"Take command of your own mercenary outfit of 'Mechs and the MechWarriors that pilot them, struggling to stay afloat as you find yourself drawn into a brutal interstellar civil war.","Mixed,(166),- 54% of the 166 user reviews in the last 30 days are positive.","Mostly Positive,(7,030),- 71% of the 7,030 user reviews for this game are positive.","Apr 24, 2018",Harebrained Schemes,"Paradox Interactive,Paradox Interactive","Mechs,Strategy,Turn-Based,Turn-Based Tactics,Sci-fi,Turn-Based Strategy,Tactical,Singleplayer,Robots,RPG,Action,Multiplayer,Futuristic,Character Customization,Management,Adventure,Space,Story Rich,Great Soundtrack,Difficult","Single-player,Multi-player,Online Multi-Player,Cross-Platform Multiplayer,Steam Achievements,Steam Trading Cards,Steam Cloud","English,French,German,Russian",128,"Action,Adventure,Strategy"," About This Game From original BATTLETECH/MechWarrior creator Jordan Weisman and the developers of the award-winning Shadowrun Returns series comes the next-generation of turn-based tactical 'Mech combat. The year is 3025 and the galaxy is trapped in a cycle of perpetual war, fought by noble houses with enormous, mechanized combat vehicles called BattleMechs. Take command of your own mercenary outfit of 'Mechs and the MechWarriors that pilot them, struggling to stay afloat as you find yourself drawn into a brutal interstellar civil war. Upgrade your starfaring base of operations, negotiate mercenary contracts with feudal lords, repair and maintain your stable of aging BattleMechs, and execute devastating combat tactics to defeat your enemies on the battlefield. COMMAND A SQUAD OF 'MECHS IN TURN-BASED COMBAT Deploy over 30 BattleMechs in a wide variety of combinations. Use terrain, positioning, weapon selection and special abilities to outmaneuver and outplay your opponents. MANAGE YOUR MERCENARY COMPANY Recruit, customize, and develop unique MechWarriors. Improve and customize your dropship. As a Mercenary, travel a wide stretch of space, taking missions and managing your reputation with a variety of noble houses and local factions. TAKE PART IN A DESPERATE CIVIL WAR Immerse yourself in the story of a violently deposed ruler, waging a brutal war to take back her throne with the support of your ragtag mercenary company. CUSTOMIZE YOUR 'MECHS Use your MechLab to maintain and upgrade your units, replacing damaged weapon systems with battlefield salvage taken from fallen foes. PVP MULTIPLAYER & SKIRMISH MODE Customize a Lance of 'Mechs and MechWarriors to go head-to-head with your friends, compete against opponents online, or jump into single-player skirmish mode to test your strategies against the AI. ",,"Minimum:,Requires a 64-bit processor and operating system,OS:,64-bit Windows 7 or Higher,Processor:,Intel® Core™ i3-2105 or AMD® Phenom™ II X3 720,Memory:,8 GB RAM,Graphics:,Nvidia® GeForce™ GTX 560 Ti or AMD® ATI Radeon™ HD 5870 (1 GB VRAM),DirectX:,Version 11,Network:,Broadband Internet connection,Storage:,35 GB available space,Sound Card:,DirectX 9 sound device,Additional Notes:,Multiplayer is compatible between Windows, Mac and Linux versions.,Minimum:,Requires a 64-bit processor and operating system,OS:,macOS High Sierra 10.13.3,Processor:,Intel® Core™ i5-4670,Memory:,8 GB RAM,Graphics:,Nvidia® GeForce™ GTX 775M (2 GB VRAM),Network:,Broadband Internet connection,Storage:,35 GB available space,Additional Notes:,Multiplayer is compatible between Windows, Mac and Linux versions.,Minimum:,Requires a 64-bit processor and operating system,OS:,64-bit Ubuntu 18.04 LTS and higher or SteamOS,Processor:,Intel® Core™ i3-3240 CPU,Memory:,8 GB RAM,Graphics:,Nvidia® GeForce™ GTX 560,Network:,Broadband Internet connection,Storage:,35 GB available space,Additional Notes:,Multiplayer is compatible between Windows, Mac and Linux versions.","Recommended:,Requires a 64-bit processor and operating system,OS:,64-bit Windows 7 or Higher,Processor:,Intel® Core™ i5-4460 or AMD® FX-4300,Memory:,16 GB RAM,Graphics:,Nvidia® GeForce™ GTX 670 or AMD® Radeon™ R9 285 (2 GB VRAM),DirectX:,Version 11,Network:,Broadband Internet connection,Storage:,35 GB available space,Sound Card:,DirectX 9 sound device,Additional Notes:,Multiplayer is compatible between Windows, Mac and Linux versions.,Recommended:,Requires a 64-bit processor and operating system,OS:,macOS High Sierra 10.13.3,Processor:,Intel® Core™ i7-7700K,Memory:,16 GB RAM,Graphics:,AMD® Radeon™ Pro 580 (8 GB VRAM),Network:,Broadband Internet connection,Storage:,35 GB available space,Additional Notes:,Multiplayer is compatible between Windows, Mac and Linux versions.,Recommended:,Requires a 64-bit processor and operating system,OS:,64-bit Ubuntu 18.04 LTS and higher or SteamOS,Processor:,Intel® Core™ i5-4460 or AMD® FX-4300,Memory:,16 GB RAM,Graphics:,Nvidia® GeForce™ GTX 670 or AMD® Radeon™ R9 285 (2 GB VRAM),Network:,Broadband Internet connection,Storage:,35 MB available space,Additional Notes:,Multiplayer is compatible between Windows, Mac and Linux versions.",$39.99, +https://store.steampowered.com/app/221100/DayZ/,app,DayZ,"The post-soviet country of Chernarus is struck by an unknown virus, turning the majority population into frenzied infected. Fighting over resources has bred a hostile mentality among survivors, driving what’s left of humanity to collapse. You are one of the few immune to the virus - how far will you go to survive?","Mixed,(932),- 57% of the 932 user reviews in the last 30 days are positive.","Mixed,(167,115),- 61% of the 167,115 user reviews for this game are positive.","Dec 13, 2018",Bohemia Interactive,"Bohemia Interactive,Bohemia Interactive","Survival,Zombies,Open World,Multiplayer,PvP,Massively Multiplayer,Action,Early Access,Simulation,FPS,Post-apocalyptic,Survival Horror,Shooter,Sandbox,Adventure,Indie,Co-op,Atmospheric,Horror,Military","Multi-player,Online Multi-Player,Steam Workshop,Steam Cloud,Valve Anti-Cheat enabled","English,French,Italian,German,Spanish - Spain,Czech,Russian,Simplified Chinese,Traditional Chinese",NaN,"Action,Adventure,Massively Multiplayer"," About This Game The post-soviet country of Chernarus is struck by an unknown virus, turning the majority population into frenzied infected. Fighting over resources has bred a hostile mentality among survivors, driving what’s left of humanity to collapse. You are one of the few immune to the virus - how far will you go to survive? This is DayZ, this is your story. DayZ is an unforgiving, authentic, open world sandbox online game where each one of 60 players on a server follows a single goal - to survive as long as they can, by all means necessary. There are no superficial tips, waypoints, built-in tutorials or help given to you. Every decision matters - with no save games, and no extra lives, every mistake can be lethal. If you fail, you lose everything and start over. Scavenging for supplies and roaming the open world never feels safe in DayZ, as you never know what's behind the next corner. Hostile player interactions, or simply just struggling through severe weather can easily turn into intense, nerve-racking moments where you experience very real emotions. On the other hand, meeting with another friendly survivor in DayZ can lead to a true friendship that lasts a lifetime... Your choices and your decisions create a gameplay experience that's completely unique and unequivocally personal - unmatched by any other multiplayer game out there. This is DayZ, this is your story. Key Features Detailed, authentic backdrop of Chernarus, an open world terrain featuring 230 square kilometers of hand-crafted environment based on real life locations. Real emotional experience driven by the emergent interactions of 60 players on the server, all fighting for survival by any means necessary. Environmental dangers including the infected, dynamic weather, and animal predators. Wide variety of complex survival mechanics - from hunting and crafting, through sophisticated injury simulation, to transferable diseases. Persistent servers with complex loot economy, and the ability to build improvised bases. Visceral, authentic gun play and melee combat systems. Smooth and reactive character controller utilizing a detailed animation system. Rewarding and authentic experience of driving vehicles for travel and material transport. Robust technology platform featuring modules of Bohemia's new Enfusion Engine. Seamless network synchronization and significantly improved game performance. A platform fully open to user created content, offering the same tool set that we use for actual game development. ",,"Minimum:,OS:,Windows 7/8.1 64-bit,Processor:,Intel Core i5-4430,Memory:,8 GB RAM,Graphics:,NVIDIA GeForce GTX 760 or AMD R9 270X,DirectX:,Version 11,Storage:,16 GB available space,Sound Card:,DirectX®-compatible,Additional Notes:,Internet connection","Recommended:,OS:,Windows 10 64-bit,Processor:,Intel Core i5-6600K or AMD R5 1600X,Memory:,12 GB RAM,Graphics:,NVIDIA GeForce GTX 1060 or AMD RX 580,DirectX:,Version 11,Storage:,25 GB available space,Sound Card:,DirectX®-compatible,Additional Notes:,Internet connection",$44.99, +https://store.steampowered.com/app/8500/EVE_Online/,app,EVE Online,"EVE Online is a community-driven spaceship MMO where players can play free, choosing their own path from countless options. Experience space exploration, immense PvP and PvE battles, mining, industry and a thriving player economy in an ever-expanding sandbox.","Mixed,(287),- 54% of the 287 user reviews in the last 30 days are positive.","Mostly Positive,(11,481),- 74% of the 11,481 user reviews for this game are positive.","May 6, 2003",CCP,"CCP,CCP","Space,Massively Multiplayer,Sci-fi,Sandbox,MMORPG,Open World,RPG,PvP,Multiplayer,Free to Play,Economy,Strategy,Space Sim,Simulation,Action,Difficult,Tactical,Capitalism,PvE,Atmospheric","Multi-player,Online Multi-Player,MMO,Co-op,Online Co-op,Steam Trading Cards","English,German,Russian,French",NaN,"Action,Free to Play,Massively Multiplayer,RPG,Strategy", About This Game ,,"Minimum:,OS:,Windows 7,Processor:,Intel Dual Core @ 2.0 GHz, AMD Dual Core @ 2.0 GHz),Memory:,2 GB,Hard Drive:,20 GB Free Space,Video:,AMD Radeon 2600 XT or NVIDIA GeForce 8600 GTS,Network:,ADSL connection (or faster),Minimum:,Supported OS:,Mac OS X 10.12,Processor:,CPU that supports SSE2 (Intel Dual Core @ 2.0 GHz),Memory:,2 GB,Hard Drive:,20 GB Free Space,Video:,NVIDIA GeForce 320m, Intel HD 3000","Recommended:,OS:,Windows 10,Processor:,Intel i7-7700 or AMD Ryzen 7 1700 @ 3.6 GHz or greater,Memory:,16 GB or greater,Hard Drive:,20 GB free space,Video:,NVIDIA Geforce GTX 1060, AMD Radeon RX 580 or better with at least 4 GB VRAM,Network:,ADSL connection or faster,Recommended:,OS:,Mac OS X 10.14,Processor:,Intel i5 Series @ 3.8 GHz or greater,Memory:,16 GB or higher,Hard Drive:,20 GB free space,Video:,AMD Radeon Pro 580 or better with at least 4 GB VRAM",Free, +https://store.steampowered.com/bundle/5699/Grand_Theft_Auto_V_Premium_Online_Edition/,bundle,Grand Theft Auto V: Premium Online Edition,Grand Theft Auto V: Premium Online Edition bundle,NaN,NaN,NaN,Rockstar North,Rockstar Games,NaN,"Single-player,Multi-player,Downloadable Content,Steam Achievements,Full controller support","English, French, Italian, German, Spanish - Spain, Korean, Polish, Portuguese - Brazil, Russian, Traditional Chinese, Japanese, Simplified Chinese",NaN,"Action,Adventure",NaN,NaN,NaN,NaN,,$35.18 +https://store.steampowered.com/app/601150/Devil_May_Cry_5/,app,Devil May Cry 5,"The ultimate Devil Hunter is back in style, in the game action fans have been waiting for.","Very Positive,(408),- 87% of the 408 user reviews in the last 30 days are positive.","Very Positive,(9,645),- 92% of the 9,645 user reviews for this game are positive.","Mar 7, 2019","CAPCOM Co., Ltd.","CAPCOM Co., Ltd.,CAPCOM Co., Ltd.","Action,Hack and Slash,Great Soundtrack,Demons,Character Action Game,Spectacle fighter,Third Person,Violent,Singleplayer,Classic,Stylized,Gore,Story Rich,Nudity,Multiplayer,Controller,Difficult,Adventure,Anime,Family Friendly","Single-player,Online Multi-Player,Online Co-op,Steam Achievements,Full controller support,Steam Trading Cards,Steam Cloud","English,French,Italian,German,Spanish - Spain,Portuguese - Brazil,Polish,Russian,Simplified Chinese,Traditional Chinese,Japanese,Korean",51,Action," About This Game The Devil you know returns in this brand new entry in the over-the-top action series available on the PC. Prepare to get downright demonic with this signature blend of high-octane stylized action and otherworldly & original characters the series is known for. Director Hideaki Itsuno and the core team have returned to create the most insane, technically advanced and utterly unmissable action experience of this generation! The threat of demonic power has returned to menace the world once again in Devil May Cry 5 . The invasion begins when the seeds of a “demon tree” take root in Red Grave City. As this hellish incursion starts to take over the city, a young demon hunter Nero, arrives with his partner Nico in their “Devil May Cry” motorhome. Finding himself without the use of his right arm, Nero enlists Nico, a self-professed weapons artist, to design a variety of unique mechanical Devil Breaker arms to give him extra powers to take on evil demons such as the blood sucking flying Empusa and giant colossus enemy Goliath. FEATURES High octane stylized action – Featuring three playable characters each with a radically different stylish combat play style as they take on the city overrun with demons Groundbreaking graphics – Developed with Capcom’s in-house proprietary RE engine, the series continues to achieve new heights in fidelity with graphics that utilize photorealistic character designs and stunning lighting and environmental effects. Take down the demonic invasion – Battle against epic bosses in adrenaline fueled fights across the over-run Red Grave City all to the beat of a truly killer soundtrack. Demon hunter – Nero, one of the series main protagonists and a young demon hunter who has the blood of Sparda, heads to Red Grave City to face the hellish onslaught of demons, with weapons craftswoman and new partner-in-crime, Nico. Nero is also joined by stylish, legendary demon hunter, Dante and the mysterious new character, V. "," Mature Content Description The developers describe the content like this: WARNING: This game contains strong language, violence and nudity. ","Minimum:,OS:,WINDOWS® 7, 8.1, 10 (64-BIT Required),Processor:,Intel® Core™ i5-4460, AMD FX™-6300, or better,Memory:,8 GB RAM,Graphics:,NVIDIA® GeForce® GTX 760 or AMD Radeon™ R7 260x with 2GB Video RAM, or better,DirectX:,Version 11,Storage:,35 GB available space,Additional Notes:,*Xinput support Controllers recommended *Internet connection required for game activation. (Network connectivity uses Steam® developed by Valve® Corporation.)","Recommended:,OS:,WINDOWS® 7, 8.1, 10 (64-BIT Required),Processor:,Intel® Core™ i7-3770, AMD FX™-9590, or better,Memory:,8 GB RAM,Graphics:,NVIDIA® GeForce® GTX 1060 with 6GB VRAM, AMD Radeon™ RX 480 with 8GB VRAM, or better,DirectX:,Version 11,Storage:,35 GB available space,Additional Notes:,*Xinput support Controllers recommended *Internet connection required for game activation. (Network connectivity uses Steam® developed by Valve® Corporation.)",$59.99,$70.42 +https://store.steampowered.com/app/477160/Human_Fall_Flat/,app,Human: Fall Flat,Human: Fall Flat is a quirky open-ended physics-based puzzle platformer set in floating dreamscapes. Your goal is to find the exit of these surreal levels by solving puzzles with nothing but your wits. Local co-op for 2 players and up to 8 online for even more mayhem!,"Very Positive,(629),- 91% of the 629 user reviews in the last 30 days are positive.","Very Positive,(23,763),- 91% of the 23,763 user reviews for this game are positive.","Jul 22, 2016",No Brakes Games,"Curve Digital,Curve Digital","Funny,Multiplayer,Co-op,Puzzle,Physics,Local Co-Op,Comedy,Adventure,Indie,Parkour,Puzzle-Platformer,Local Multiplayer,Sandbox,Casual,Open World,Singleplayer,3D Platformer,Split Screen,Simulation,Survival","Single-player,Online Multi-Player,Local Co-op,Shared/Split Screen,Steam Achievements,Full controller support,Steam Trading Cards,Steam Cloud,Stats","English,French,German,Spanish - Spain,Russian,Italian,Simplified Chinese,Japanese,Korean,Polish,Portuguese,Portuguese - Brazil,Thai,Turkish,Ukrainian",55,"Adventure,Indie"," About This Game ***NEW ""DARK"" LEVEL AVAILABLE NOW*** Discover the funniest cooperative physics-based puzzle-platformer! In Human: Fall Flat you play as Bob, a wobbly hero who keeps dreaming about surreal places filled with puzzles in which he’s yet to find the exit. Exploration and ingenuity are key, challenge your creativity as every option is welcome! Bob is just a normal Human with no superpowers, but given the right tools he can do a lot. Misuse the tools and he can do even more! The world of Human: Fall Flat features advanced physics and innovative controls that cater for a wide range of challenges. Bob’s dreams of falling are riddled with puzzles to solve and distractions to experiment with for hilarious results. The worlds may be fantastical, but the laws of physics are very real. FEATURES: ONLINE MULTIPLAYER UP TO 8 PLAYERS Fall into or host private/public lobbies with your friends and watch Bob fall, flail, wobble and stumble together. Need a hand getting that boulder on to a catapult, or need someone to break that wall? The more Bob the more Mayhem! THE WOBBLY ART OF PARKOUR Direct and complete control of Bob. Nothing is scripted and no limits imposed. Bob can walk (kinda straight), jump, grab anything, climb anything, carry anything. LOCAL CO-OP Play with a friend or a relative in split-screen, work together to achieve any task or spend an hour throwing each other about in the craziest ways possible. CUSTOMISATION Paint your own custom Bob, dress him with silly suits or even import your face onto his via webcam. SURREAL LANDSCAPES Explore open-ended levels which obey the rules of physics. Interact with almost every available object in the game and go almost everywhere - like playground of freedom. UNLIMITED REPLAY VALUE Fall into Bob's dreams as many time as you want, try new paths and discover all secrets. Think outside of the box is the philosophy! Fall into Bob's dreams now and see how good your catapulting skills are! ",,"Minimum:,OS:,Windows XP/Vista/7/8/8.1/10 x86 and x64,Processor:,Intel Core2 Duo E6750 (2 * 2660) or equivalent | AMD Athlon 64 X2 Dual Core 6000+ (2 * 3000) or equivalent,Memory:,1024 MB RAM,Graphics:,GeForce GT 740 (2048 MB) or equivalent | Radeon HD 5770 (1024 MB),Storage:,500 MB available space,Minimum:,OS:,OS X 10.9 and higher,Processor:,Intel Core2 Duo E6750 (2 * 2660) or equivalent | AMD Athlon 64 X2 Dual Core 6000+ (2 * 3000) or equivalent,Memory:,1024 MB RAM,Graphics:,GeForce GT 740 (2048 MB) or equivalent | Radeon HD 5770 (1024 MB),Storage:,500 MB available space,Additional Notes:,Requires a two-button mouse or controller","Recommended:,OS:,Windows XP/Vista/7/8/8.1/10 x86 and x64,Processor:,Intel Core2 Quad Q9300 (4 * 2500) or equivalent | AMD A10-5800K APU (4*3800) or equivalent,Memory:,2048 MB RAM,Graphics:,GeForce GTX 460 (1024 MB) or equivalent | Radeon HD 7770 (1024 MB),Storage:,500 MB available space,Recommended:,OS:,OS X 10.9 and higher,Processor:,Intel Core2 Quad Q9300 (4 * 2500) or equivalent | AMD A10-5800K APU (4*3800) or equivalent,Memory:,2048 MB RAM,Graphics:,GeForce GTX 460 (1024 MB) or equivalent | Radeon HD 7770 (1024 MB),Storage:,500 MB available space,Additional Notes:,Requires a two-button mouse or controller",$14.99,$17.58 +https://store.steampowered.com/app/644930/They_Are_Billions/,app,They Are Billions,They Are Billions is a Steampunk strategy game set on a post-apocalyptic planet. Build and defend colonies to survive against the billions of the infected that seek to annihilate the few remaining living humans. Can humanity survive after the zombie apocalypse?,"Very Positive,(192),- 83% of the 192 user reviews in the last 30 days are positive.","Very Positive,(12,127),- 85% of the 12,127 user reviews for this game are positive.","Dec 12, 2017",Numantian Games,"Numantian Games,Numantian Games","Early Access,Base Building,Strategy,Zombies,Survival,RTS,Steampunk,City Builder,Tower Defense,Post-apocalyptic,Building,Singleplayer,Resource Management,Real-Time with Pause,Early Access,Difficult,Tactical,Management,Indie,Isometric","Single-player,Steam Achievements,Steam Trading Cards,Steam Cloud,Stats,Steam Leaderboards","English,Spanish - Spain,French,German,Japanese,Korean,Polish,Portuguese - Brazil,Russian,Simplified Chinese,Traditional Chinese,Italian",34,"Strategy,Early Access"," About This Game They Are Billions is a strategy game in a distant future about building and managing human colonies after a zombie apocalypse destroyed almost all of human kind. Now there are only a few thousand humans left alive that must struggle to survive under the threat of the infection. Billions of infected roam around the world in massive swarms seeking the last living human colonies. Survival Mode - Available Now! In this mode, a random world is generated with its own events, weather, geography, and infected population. You must build a successful colony that must survive for a specific period of time against the swarms of infected. It is a fast and ultra addictive game mode. We plan to release a challenge of the week where all players must play the same random map. The best scores will be published in a leaderboard. Real Time with Pause This is a real-time strategy game, but don’t get too nervous. You can pause the action to take the best strategic and tactical decisions. In Pause Mode, you can place structures to build, give orders to your army, or consult all of the game’s information. This game is all about strategy, not player performance or the player’s skill to memorize and quickly execute dozens of key commands. Pause the game and take all the time you need! Build your Colony Build dwellings and acquire food for the colonists. They will come to live and work for the colony. Collect resources from the environment using various building structures. Upgrade buildings to make them more efficient. Expand the energy distribution of the colony by placing Tesla Towers and build mills and power plants to feed the energy to your buildings. Build walls, gates, towers, and structures to watch the surroundings. Don’t let the infected take over the colony! Build an Army What kind of people would want to combat the infected? Only the maddest ones. Train and contract mercenaries to protect the colony. They demand their money and food, and you will have to listen to their awful comments, but these tormented heroes will be your best weapon to destroy the infected. Every unit is unique and has their own skills and personality – discover them! Thousands of Units on Screen Yes! They are billions! The world is full of infected creatures… they roam, smell, and listen. Every one of them has their own AI. Make noise and they will come – kill some of them to access an oil deposit and hundred of them will come to investigate. We have created our custom engine to handle hordes of thousands of the infected, up to 20,000 units in real time. Do you think your colony is safe? Wait for the swarms of thousands of infected that are roaming the world. Sometimes your colony is in their path! Prevent the Infection If just one of the infected breaks into a building, all the colonies and workers inside will become infected. The infected workers will then run rabid to infect more buildings. Infections must be eradicated from the beginning, otherwise, it will grow exponentially becoming impossible to contain. Beautiful 4K Graphics! Prepare to enjoy these ultra high definition graphics. Our artists have created tons of art pieces: Beautiful buildings with their own animations, thousands of frames of animation to get the smoothest movements and everything with a crazy Steampunk and Victorian style! Future Game Mode - Campaign In the campaign mode, you have to help the surviving humans to reconquer their country. There are dozens of missions with different goals: building colonies, tactical missions, rescue missions... You can decide the path of progress and mission - research new technologies, advances and upgrades to improve your colonies and army. We are working right now on the campaign and we expect it will be available for Winter 2018. The campaign will be included for free to all the buyers of the Steam Early Access version.",,"Minimum:,OS:,Windows 7, 8, 10 (32 and 64 bits),Processor:,INTEL, AMD 2 cores CPU at 2Ghz,Memory:,4 GB RAM,Graphics:,Intel HD3000, Radeon, Nvidia card with shader model 3, 1GB video ram.,DirectX:,Version 9.0c,Storage:,4 GB available space,Additional Notes:,Minimum resolution: 1360x768, recomended FULL HD 1920x1080.","Recommended:,OS:,Windows 7, 8, 10 (64 bits),Processor:,INTEL. AMD 4 cores CPU at 3Ghz,Memory:,8 GB RAM,Graphics:,Radeon 7950 or above, Nvidia GTX 670 or above. 4GB video ram.,DirectX:,Version 9.0c,Storage:,4 GB available space,Additional Notes:,4K Monitor (3840x2160)",$29.99, +https://store.steampowered.com/app/774241/Warhammer_Chaosbane/,app,Warhammer: Chaosbane,"In a world ravaged by war and dominated by magic, you must rise up to face the Chaos hordes. Playing solo or with up to four players in local or online co-op, choose a hero from four character classes and prepare for epic battles wielding some of the most powerful artefacts of the Old World.",,"Mixed,(904),- 44% of the 904 user reviews for this game are positive.","May 31, 2019",Eko Software,"Bigben Interactive,Bigben Interactive","RPG,Adventure,Hack and Slash,Action,Action RPG,Games Workshop,Violent,Fantasy,Co-op,War,Isometric,Dark Fantasy,Warhammer 40K,Historical,Colorful","Single-player,Multi-player,Co-op,Online Co-op,Local Co-op,Steam Achievements,Full controller support,Steam Trading Cards,Steam Cloud","English,French,Italian,German,Spanish - Spain,Simplified Chinese,Traditional Chinese,Korean,Spanish - Latin America,Japanese,Polish,Portuguese - Brazil,Russian",43,"Action,Adventure,RPG"," About This Game “Keep your eyes on this one, because it’s one quality Action RPG” – Entertainment Buddha In a world ravaged by war and dominated by magic, you are the last hope for the Empire of Man against the Chaos hordes. Playing solo or with up to 4 in local or online co-op, choose a hero from 4 character classes with unique and complementary skills, and prepare for epic battles wielding some of the most powerful artefacts of the Old World. • THE FIRST HACK AND SLASH set in the Warhammer Fantasy world, told through an all-new story written by Mike Lee (a Black Library author) and featuring a soundtrack composed by Chance Thomas. • FEROCIOUS BATTLES: from the sewers of Nuln to the ruined streets of Praag, fight your way through monster hordes using over 180 different powers. Activate your bloodlust, a devastating skill, to escape the most perilous situations. • 4 CHARACTER CLASSES , each with unique skills and customisation: a soldier of the Empire who can take heavy damage, a Dwarf specialising in melee combat, a High Elf who deals ranged damage by manipulating magic or a Wood Elf who lays deadly traps and wields the bow like no other! • AN XXL BESTIARY with over 70 monsters aligned with the Chaos Gods and unique bosses. Battle Nurgle's minions, Khorne's spawn and waves of other vile creatures! • OPTIMIZED FOR CO-OP : solo or with up to 4 players, local or online, the class synergy and interface have been designed for co-op. Combine different skills and powers to create even more devastating effects. • HIGH REPLAY VALUE : Story mode, a boss rush mode, countless dungeons and regular updates offer a rich and varied gaming experience. And with 10 difficulty levels, you can find the right challenge to test your abilities. "," Mature Content Description The developers describe the content like this: This game may contain content not appropriate for all ages, or may not be appropriate for viewing at work: Frequent Violence ","Minimum:,Requires a 64-bit processor and operating system,OS:,64bits version of Windows® 7, Windows® 8, Windows® 10,Processor:,Intel® Core i3 or AMD Phenom™ II X3,Memory:,6 GB RAM,Graphics:,NVIDIA® GeForce® GTX 660 or AMD Radeon™ HD 7850 with 2 GB RAM,DirectX:,Version 11,Storage:,20 GB available space,Sound Card:,DirectX Compatible Soundcard","Recommended:,Requires a 64-bit processor and operating system,OS:,64bits version of Windows® 7, Windows® 8, Windows® 10,Processor:,Intel® Core i5 or AMD FX 8150,Memory:,6 GB RAM,Graphics:,NVIDIA® GeForce® GTX 780 or AMD Radeon™ R9 290 with 2 GB RAM,DirectX:,Version 11,Storage:,20 GB available space,Sound Card:,DirectX Compatible Soundcard",$49.99, +https://store.steampowered.com/app/527230/For_The_King/,app,For The King,"For The King is a strategic RPG that blends tabletop and roguelike elements in a challenging adventure that spans the realms. Set off on a single player experience or play cooperatively both online and locally. INTO THE DEEP ADVENTURE, NOW AVAILABLE FOR FREE!","Very Positive,(67),- 80% of the 67 user reviews in the last 30 days are positive.","Very Positive,(4,600),- 83% of the 4,600 user reviews for this game are positive.","Apr 19, 2018",IronOak Games,"Curve Digital,Curve Digital","RPG,Turn-Based Combat,Adventure,Online Co-Op,Co-op,Strategy,Rogue-like,Turn-Based,Multiplayer,Turn-Based Strategy,Party-Based RPG,Indie,Fantasy,Board Game,Strategy RPG,Hex Grid,Rogue-lite,Difficult,Local Co-Op,Early Access","Single-player,Multi-player,Online Multi-Player,Local Multi-Player,Co-op,Online Co-op,Local Co-op,Shared/Split Screen,Steam Achievements,Full controller support,Steam Trading Cards,Steam Cloud","English,French,Italian,German,Spanish - Spain,Portuguese - Brazil,Russian,Simplified Chinese,Traditional Chinese,Polish,Japanese,Korean",72,"Adventure,Indie,RPG,Strategy"," About This Game Into The Deep, a brand new adventure sets sail for free, NOW! Includes: Dungeon Crawl Adventure Frost Adventure Adventure Gold Rush Un-cooperative Mode Hildebrants Cellar Adventure Into The Deep Adventure The King is dead, murdered by an unknown assailant. Now the once peaceful kingdom of Fahrul is in chaos. With nowhere left to turn and stretched beyond her means, the queen has put out a desperate plea to the citizens of the land to rise up and help stem the tide of impending doom. Set off with your make-shift party, either single player , local , or online co-op . Choose to split your party up and cover more ground, or stick together for protection. A sound strategy can mean the difference between life and death. For The King is a challenging blend of Strategy , JRPG Combat , and Roguelike elements. Each play through is made unique with procedural maps , quests, and events. Brave the relentless elements, fight the wicked creatures, sail the seas and delve into the dark underworld. None before you have returned from their journey. Will you be the one to put an end to the Chaos? Fight and die as a party in fast paced and brutal turn-based combat using a unique slot system for attacks and special abilities. Find and gather herbs for your trusty pipe to heal your wounds and cure your maladies. Set up safe camps or brave the horrors that nightfall brings. Just remember adventurer, you do this not for the riches or fame but for your village, for your realm, For The King! ",,"Minimum:,Requires a 64-bit processor and operating system,OS:,Windows 7 / 8 / 8.1 / 10 x64,Processor:,Intel Core2 Duo E4300 (2 * 1800) / AMD Athlon Dual Core 4450e (2 * 2300) or equivalent,Memory:,4096 MB RAM,Graphics:,GeForce 8800 GTX (768 MB) / Intel HD 4600 / Radeon HD 3850 (512 MB),DirectX:,Version 9.0c,Storage:,3 GB available space,Minimum:,Requires a 64-bit processor and operating system,OS:,OSX 10.10.5 Yosemite or higher,Processor:,Intel Core i5-2520M (2 * 2500),Memory:,4096 MB RAM,Graphics:,GeForce GT 750M (1024 MB),Storage:,3 GB available space,Minimum:,Requires a 64-bit processor and operating system,OS:,Ubuntu 17.10 (x64) or Mint 18.3 (Cinnamon) (x64) or Ubuntu 16.04 (x64),Processor:,Intel Core2 Duo E4300 (2 * 1800) / AMD Athlon Dual Core 4450e (2 * 2300) or equivalent,Memory:,4096 MB RAM,Graphics:,GeForce 8800 GTX (768 MB) / Intel HD 4600 or equivalent,Storage:,3 GB available space","Recommended:,Requires a 64-bit processor and operating system,OS:,Windows 7 / 8 / 8.1 / 10 x64,Processor:,Intel Core i5-4570T (2* 2900) / AMD FX-6100 (6 * 3300) or equivalent,Memory:,4096 MB RAM,Graphics:,GeForce GTX 750 Ti (2048 MB) / Radeon HD 7850 (2048 MB),DirectX:,Version 9.0c,Storage:,3 GB available space,Recommended:,Requires a 64-bit processor and operating system,OS:,OSX 10.10.5 Yosemite or higher,Processor:,Intel Core i5-6500 (4 * 3200),Memory:,8192 MB RAM,Graphics:,AMD Radeon R9 M390 (2048 MB),Storage:,3 GB available space,Recommended:,Requires a 64-bit processor and operating system,OS:,Ubuntu 17.10 (x64) or Mint 18.3 (Cinnamon) (x64) or Ubuntu 16.04 (x64),Processor:,Intel Core i5-4570T (2* 2900) / AMD FX-6100 (6 * 3300) or equivalent,Memory:,4096 MB RAM,Graphics:,GeForce GTX 750 Ti (2048 MB) / Radeon HD 7850 (2048 MB),Storage:,3 GB available space",$19.99, +https://store.steampowered.com/app/567640/Danganronpa_V3_Killing_Harmony/,app,Danganronpa V3: Killing Harmony,"A new cast of 16 characters find themselves kidnapped and imprisoned in a school. Inside, some will kill, some will die, and some will be punished. Reimagine what you thought high-stakes, fast-paced investigation was as you investigate twisted murder cases and condemn your new friends to death.","Very Positive,(78),- 82% of the 78 user reviews in the last 30 days are positive.","Very Positive,(3,547),- 84% of the 3,547 user reviews for this game are positive.","Sep 25, 2017","Spike Chunsoft Co., Ltd.","Spike Chunsoft Co., Ltd.,Spike Chunsoft Co., Ltd.","Story Rich,Anime,Visual Novel,Detective,Mystery,Great Soundtrack,Female Protagonist,Singleplayer,Adventure,Psychological Horror,Dark Humor,Horror,Dark Comedy,Puzzle,Atmospheric,Memes,Dark,Funny,Comedy,Dating Sim","Single-player,Steam Achievements,Full controller support,Steam Trading Cards,Steam Cloud","English,French,Japanese,Simplified Chinese,Traditional Chinese",41,Adventure," About This Game Welcome to a new world of Danganronpa, and prepare yourself for the biggest, most exhilarating episode yet. Set in a “psycho-cool” environment, a new cast of 16 characters find themselves kidnapped and imprisoned in a school. Inside, some will kill, some will die, and some will be punished. Reimagine what you thought high-stakes, fast-paced investigation was as you investigate twisted murder cases and condemn your new friends to death. Key Features A New Danganronpa Begins: Forget what you thought you knew about Danganronpa and join a completely new cast of Ultimates for a brand-new beginning. Murder Mysteries: In a world where everyone is trying to survive, nobody’s motivations are quite what they seem. Use your skills to solve each new murder or meet a gruesome end. Lie, Panic, Debate! The world is shaped by our perception of it. Fast-paced trial scenes will require lies, quick wits, and logic to guide your classmates to the right conclusions. New Minigames: Between the madness of murdered peers and deadly trials, enjoy an abundance of brand-new minigames! ",,"Minimum:,Requires a 64-bit processor and operating system,OS:,Windows 7 64-bit,Processor:,Intel Core i3-4170 @ 3.70GHz,Memory:,4 GB RAM,Graphics:,NVIDIA@ GeForce@ GTX 460 or better,DirectX:,Version 11,Storage:,26 GB available space,Sound Card:,DirectX compatible soundcard or onboard chipset","Recommended:,Requires a 64-bit processor and operating system,OS:,Windows 7 64-bit,Processor:,Intel Core i5-4690K @3.50GHz,Memory:,8 GB RAM,Graphics:,NVIDIA@ GeForce@ GTX 960,DirectX:,Version 11,Storage:,26 GB available space,Sound Card:,DirectX compatible soundcard or onboard chipset",$39.99,$59.97 +https://store.steampowered.com/app/323370/TERA/,app,TERA,"From En Masse Entertainment, TERA is at the forefront of a new breed of MMO. With True Action Combat - aim, dodge, and time your attacks for intense and rewarding tactical combat. Add the deep social experience of a MMO to best-in-class action combat mechanics for a unique blend of both genres. Play now for free!","Mixed,(76),- 63% of the 76 user reviews in the last 30 days are positive.","Mostly Positive,(14,184),- 78% of the 14,184 user reviews for this game are positive.","May 5, 2015","Bluehole, Inc.","En Masse Entertainment,En Masse Entertainment","Free to Play,MMORPG,Massively Multiplayer,RPG,Open World,Action,Fantasy,Adventure,Anime,Third Person,Character Customization,Action RPG,Multiplayer,Co-op,PvP,Hack and Slash,PvE,Cute,Controller,Nudity","Multi-player,MMO,Co-op,Steam Trading Cards,Partial Controller Support",English,NaN,"Action,Adventure,Free to Play,Massively Multiplayer,RPG"," About This Game TERA is at the forefront of a new breed of MMO. With True Action Combat - aim, dodge, and time your attacks for intense and rewarding tactical combat. Add the deep social experience of a MMO to best-in-class action combat mechanics for a unique blend of both genres. Play now for free! Experience an action MMO that goes beyond ""point and click!"" In TERA , it's your skill, position, timing, and aim that determine the outcome of combat—not how quickly you cycle through targets with the Tab key. If you prefer to lie down on your couch while playing games (we do!), you'll be happy to hear that TERA also offers controller support. Team up with friends to take down Big Ass Monsters or put your combat skills to the test against other players in one of the many PvP battlegrounds TERA offers. Customize your choice of seven character races and nine classes with unique battle styles. Fight thousands of monsters throughout a variety of landscapes, and embark on thousands of quests in a game world rich in history and lore. In a truly free-to-play experience. TERA imposes no artificial cap on classes, zones, or what you can do, or how good you can be - all of the content in the game can be experienced without paying a single penny. To support the continued development of TERA , we offer account services and cosmetic items - costumes, accessories, weapon skins, mounts, and more. We heard players on Steam really like hats... Whether you fight as part of a guild or join an alliance, being part of TERA's vibrant community means that there is always someone to share your journey with."," Mature Content Description The developers describe the content like this: This Game may contain content not appropriate for all ages, or may not be appropriate for viewing at work: General Mature Content ","Minimum:,OS:,Windows 7, 32-bit,Processor:,Intel i3 2130 / AMD FX 4130,Memory:,4 GB RAM,Graphics:,GeForce 9800 GT / Radeon HD 3870,DirectX:,Version 9.0c,Network:,Broadband Internet connection,Storage:,45 GB available space","Recommended:,OS:,Windows 7, 8, 8.1, 10, 64-bit,Processor:,Intel i5 3570 / AMD FX 6350,Memory:,8 GB RAM,Graphics:,GeForce GTS 450 / Radeon HD 4890 1GB,DirectX:,Version 9.0c,Network:,Broadband Internet connection,Storage:,55 GB available space",Free to Play, +https://store.steampowered.com/app/393080/Call_of_Duty_Modern_Warfare_Remastered/,app,Call of Duty®: Modern Warfare® Remastered,"One of the most critically-acclaimed games in history, Call of Duty: Modern Warfare is back, remastered in true high-definition, featuring improved textures, physically based rendering, high-dynamic range lighting and much more.","Mixed,(33),- 51% of the 33 user reviews in the last 30 days are positive.","Mixed,(1,118),- 51% of the 1,118 user reviews for this game are positive.","Jul 27, 2017","Raven Software,Beenox","Activision,Activision","FPS,Action,Shooter,Multiplayer,Violent,War,Singleplayer,First-Person,Military,Remake,Controller,Casual,Classic","Single-player,Online Multi-Player,Online Co-op,Steam Achievements","English,French,Italian,German,Spanish - Spain,Japanese,Korean,Polish,Portuguese - Brazil,Russian,Simplified Chinese,Traditional Chinese",50,Action," About This Game One of the most critically-acclaimed games in history, Call of Duty: Modern Warfare is back, remastered in true high-definition, featuring improved textures, physically based rendering, high-dynamic range lighting and much more. Developed by Infinity Ward, the award-winning Call of Duty® 4: Modern Warfare® set a new standard upon its release for intense, cinematic action, while receiving universal praise as one of the most influential video games of all-time. Winner of numerous Game of the Year honors, Call of Duty 4: Modern Warfare became an instant classic and global phenomenon that set the bar for first-person shooters, and now it returns for a new generation of fans. Relive one of the most iconic campaigns in history, as you are transported around the globe, including fan favorite missions ""All Ghillied Up,"" ""Mile High Club,"" and ""Crew Expendable."" You’ll suit up as unforgettable characters Sgt. John ""Soap"" MacTavish, Capt. John Price and more, as you battle a rogue enemy group across global hotspots from Eastern Europe and rural Russia, all the way to the Middle East. Through an engaging narrative full of twists and turns, call on sophisticated technology and superior firepower as you coordinate land and air strikes on a battlefield where speed and accuracy are essential to victory. Additionally, team up with your friends in the online mode that redefined Call of Duty by introducing killstreaks, XP, Prestige and more in customizable, classic multiplayer modes.",,"Minimum:,Requires a 64-bit processor and operating system,OS:,Windows 7 64-Bit or later,Processor:,Intel Core i3-3225 @ 3.30GHz or equivalent,Memory:,8 GB RAM,Graphics:,NVIDIA GeForce GTX 660 2GB / AMD Radeon HD 7850 2GB,DirectX:,Version 11,Network:,Broadband Internet connection,Sound Card:,DirectX 11 Compatible,Additional Notes:,Disk space requirement may change over time.","Recommended:,Requires a 64-bit processor and operating system",1.020,$906.48 +https://store.steampowered.com/app/253250/Stonehearth/,app,Stonehearth,"Pioneer a living world full of warmth, heroism, and mystery. Help a small group of settlers build a home for themselves in a forgotten land. Establish a food supply, build shelter, defend your people, monitor their moods, and find a way to grow and expand, facing challenges at every step.","Mixed,(66),- 40% of the 66 user reviews in the last 30 days are positive.","Mostly Positive,(5,484),- 75% of the 5,484 user reviews for this game are positive.","Jul 25, 2018",Radiant Entertainment,"(none),(none)","City Builder,Building,Sandbox,Strategy,Survival,Simulation,Crafting,Voxel,Early Access,Indie,Singleplayer,Open World,RPG,Management,Multiplayer,Fantasy,Cute,Adventure,God Game,RTS","Single-player,Multi-player,Online Multi-Player,Local Multi-Player,Co-op,Online Co-op,Local Co-op,Steam Trading Cards,Steam Workshop",English,NaN,"Indie,Simulation,Strategy"," About This Game In Stonehearth, you pioneer a living world full of warmth, heroism, and mystery. Help a small group of settlers build a home for themselves in a forgotten land. You’ll need to establish a food supply, build shelter, defend your people, monitor their moods, and find a way to grow and expand, facing challenges at every step. Starting from procedurally generated terrain with dynamic AI encounters, Stonehearth combines community management and combat with infinite building possibilities. It’s designed to be moddable at every level, from your city to the people and creatures inhabiting the world, and will ship with the tools and documentation for you to add your own customizations to the game, and share them with friends. Build and Grow Your City The heart of the game is city building and management. When you're just starting out, you'll need to juggle tasks like obtaining a sustainable food supply, building shelter, and defending your fledgling settlement from raiders and other threats. Once you've achieved a foothold in the world, it's up to you to write the destiny for your people. You have the flexibility to choose your own path in this game. Do you want to build a great conquering empire? A vibrant trade city? A spiritual monastery? We really want you to feel like this is your settlement, and give you the tools that make it look and operate exactly as you wish. Level Up Your Settlers All the settlers in your towns have jobs. A job is like a class in a role playing game. Each job has a specific role like hauling materials, building, crafting, and fighting. As your hearthlings work at a job they will gain experience and levels. Some jobs, when they meet certain prerequisites, can upgrade to entirely new jobs with new capabilities. Usually, to assign someone a new job you'll also need to craft a tool for them. The Mason can craft blocks, statues, and tools from stone, but to do it he'll need a mallet and chisel crafted by the carpenter. Our goal is to have a job tree that's both very wide and very deep, so there will be plenty of different kinds of things to do in the game, but also a lot of depth to explore if you want to concentrate on any one area. Player Driven Legacy Through Modding We LOVE mods and want to make it as easy as possible to author and share mods. Want to see a new kind of sword in the game? You can model it, define its stats, and then craft it in game. You can also share the design with other players so they can enjoy it too, or bring their authored content into your game. As a modder you’ll be able to do basically anything that we as developers can do: introduce new items and monsters, write new scripted adventures, influence the AI, you name it. It goes back to that original pen and paper RPG experience, where “the game” is a collaboration between the core ruleset and the stories crafted by the gamemaster.",,"Minimum:,OS:,Windows 7/8/8.1/10 (32-bit or 64-bit),Processor:,Intel or AMD Dual-Core, 1.7 GHz+,Memory:,4 GB RAM,Graphics:,nVidia GeForce GT 430 512MB, Radeon HD 7570M, Intel HD 4000,Storage:,2 GB available space,Additional Notes:,OS Updates: Windows 7 SP1,Minimum:,OS:,macOS 10.11 (El Capitan) or later,Processor:,Intel Core i5 1.7GHz,Memory:,8 GB RAM,Graphics:,Radeon HD 5870 or GeForce 630, or Intel HD Graphics 4000,Storage:,2 GB available space","Recommended:,OS:,Windows 10,Processor:,Intel or AMD Quad-Core, 2.8 GHz+,Memory:,16 GB RAM,Graphics:,nVidia GeForce 780 or better, AMD Radeon RX 580 or better,Network:,Broadband Internet connection,Storage:,5 GB available space,Additional Notes:,Hard Drive: SSD for optimal performance,Recommended:,OS:,macOS 10.12 (Sierra) or later,Processor:,Intel Core i7 2.8 GHz+,Memory:,16 GB RAM,Graphics:,NVIDIA GeForce GT 750M or better,Storage:,5 GB available space",$19.99, +https://store.steampowered.com/bundle/5641/Hearts_of_Iron_IV_Mobilization_Pack/,bundle,Hearts of Iron IV: Mobilization Pack,Hearts of Iron IV: Mobilization Pack bundle,NaN,NaN,NaN,Paradox Development Studio,Paradox Interactive,NaN,"Single-player,Multi-player,Online Multi-Player,Co-op,Cross-Platform Multiplayer,Downloadable Content,Steam Achievements,Steam Trading Cards,Steam Workshop,Steam Cloud","English, French, German, Polish, Portuguese - Brazil, Russian, Spanish - Spain",NaN,"Simulation,Strategy",NaN,NaN,NaN,NaN,,$94.45 +https://store.steampowered.com/app/597170/Clone_Drone_in_the_Danger_Zone/,app,Clone Drone in the Danger Zone,"Clone Drone in the Danger Zone is a third person sword fighter where any part of your body can be sliced off. With your mind downloaded into a robot gladiator, you must survive the sinister trials of the arena.","Very Positive,(88),- 94% of the 88 user reviews in the last 30 days are positive.","Very Positive,(1,901),- 94% of the 1,901 user reviews for this game are positive.","Mar 16, 2017",Doborog Games,"Doborog Games,Doborog Games","Early Access,Robots,Action,Swordplay,Fighting,Early Access,Indie,Funny,Singleplayer,Voxel,Futuristic,Pixel Graphics,Multiplayer,Third Person,Comedy,Difficult,Survival,Dark Humor,Philisophical,Rogue-like","Single-player,Multi-player,Online Multi-Player,Steam Achievements,Full controller support,Captions available,Steam Workshop,Steam Cloud,Includes level editor",English,12,"Action,Indie,Early Access"," About This Game CONGRATULATIONS HUMAN! 🤖 Apologies for the brief agony while we harvested your mind. But now your thought patterns are safely encased in this sleek, shiny robot! With a laser sword. SURVIVE AND PERHAPS YOU WILL EARN UPGRADES. GOOD LUCK IN THE ARENA. We hope you survive longer than the last contestant... Oh, and the one before that... Game Modes 1. Story Mode - One part epic tale of human defiance, another part laser swords. 2. Endless Mode - Challenge yourself to fight through 86 level variants spread across 5 difficulty tiers. Can you make it to 🏆TITANIUM🏆 ? 3. Twitch Mode - TWITCH PLAYS YOU . Your Twitch stream viewers earn coins, bet on your gameplay and spawn enemies to kill you (or give you ❤️s—if they really like you). !spawn jetpack2 Kappa Kappa Kappa 4. Challenge Mode - Bow-only, hammer-only, can you still survive the arena? 5. Level Editor - Make custom levels and challenges and share them with other humans! Explore the rich Workshop library of awesome human-built levels! 6. Online Multiplayer Duels (1v1) - Head to head combat! 7. Last Bot Standing​ (2-15 players online) - a Battle-Royale-like game mode with short, 5-10 minute play sessions. Survive, and shower in the remains of your fellow robot competitors. Features (in the game right now!) Epic Voxel Dismemberment : In addition to looking cool, the ability to cut off body parts is central to the gameplay. Jumping on one leg is a common occurrence. Large enemies need to be cut down to size before a fatal blow can be delivered. Sharp Sword Combat : Combat is fast and intense, putting great emphasis on movement, timing and positioning. You are never safe, as any blow can instantly kill or dismember. Entertaining Commentary : With 7,421 spoken words, Commentatron and Analysis-Bot provide a running commentary of your performance and react to your activities. Upgrade your robot: jetpack, bow, kicking, deflection, clones, giant hammers, FIRE 🔥🔥🔥. Terrifying robotic enemies that actually get pretty hard! Sword robots, bow robots, Spidertron 5000, Spidertron 6000, gigantic hammer bots. So many things to dismember. Alpha Limitations: See Early Access description above. Hone your sword skills now, before the rest of humanity gets its turn. JOIN THE HUMAN RESISTANCE! Or don't! It's your future-robo-funeral... 😈",,,,$14.99, +https://store.steampowered.com/app/899440/GOD_EATER_3/,app,GOD EATER 3,"Set in a post-apocalyptic setting, it’s up to your special team of God Eaters to take down god-like monsters devastating the world. With an epic story, unique characters, and all new God Arcs and Aragami, the latest evolution in ACTION is here!","Mostly Positive,(56),- 71% of the 56 user reviews in the last 30 days are positive.","Mostly Positive,(1,945),- 77% of the 1,945 user reviews for this game are positive.","Feb 7, 2019",BANDAI NAMCO Studios Inc.,"BANDAI NAMCO Entertainment,BANDAI NAMCO Entertainment","Anime,Action,Character Customization,Co-op,Hunting,Hack and Slash,JRPG,Multiplayer,RPG,Singleplayer,Great Soundtrack,Post-apocalyptic,Online Co-Op,Third Person,Story Rich,Action RPG,Adventure,Female Protagonist","Single-player,Online Multi-Player,Online Co-op,Steam Achievements,Steam Trading Cards,Partial Controller Support,Steam Cloud","English,Japanese,French,Italian,German,Spanish - Spain,Korean,Portuguese - Brazil,Russian,Spanish - Latin America,Traditional Chinese",32,Action," About This Game Rise Above a World of Desolation The latest entry in the hugely popular God Eater action series is here! • Fight in Style with Brand-new God Arcs! Expand your close-combat armory with the dual-wield God Arc “Biting Edge” and the two-handed moon axe """"Heavy Moon"""", or fight from afar with the new """"Ray Gun"""" God Arc! • New Abilities for Exhilarating Battles! Ground, Air, and Step attacks evolve into powerful techniques with Burst Arts, and the new Dive dash attack allows you full freedom of movement to hunt down wandering Aragami! • Fearsome New Threats: Ash Aragami and Devour Attacks! Dangerous new foes, Ash Aragami can utilize Devours Attacks and enter Burst Mode, increasing their strength exponentially! These enemies are not to be trifled with and will require you to take your weapon and your game to the next level!",,"Minimum:,Requires a 64-bit processor and operating system,OS:,Windows 7 64-bit, SP1,Processor:,Intel Core i5-3470 or AMD FX-8120,Memory:,4 GB RAM,Graphics:,GeForce GTX 760 or Radeon R9 290X,DirectX:,Version 11,Network:,Broadband Internet connection,Storage:,25 GB available space","Recommended:,Requires a 64-bit processor and operating system,OS:,Windows 10 64-bit,Processor:,Intel Core i7-3770 or AMD Ryzen 5 1600,Memory:,8 GB RAM,Graphics:,GeForce GTX 970 or Radeon R9 fury,DirectX:,Version 11,Network:,Broadband Internet connection,Storage:,25 GB available space",$59.99, +https://store.steampowered.com/app/767560/War_Robots/,app,War Robots,"War Robots is an online third-person 6v6 PvP shooter—we’re talking dozens of combat robots, hundreds of weapons combinations, and heated clan battles.","Mixed,(91),- 49% of the 91 user reviews in the last 30 days are positive.","Mixed,(1,797),- 44% of the 1,797 user reviews for this game are positive.","Apr 5, 2018",Pixonic,"Pixonic,Pixonic","Free to Play,Robots,Action,Multiplayer,FPS,Mechs,Massively Multiplayer,Shooter,PvP,Controller,Third-Person Shooter,Co-op,War","Multi-player,Online Multi-Player,Steam Trading Cards,In-App Purchases","English,French,Italian,German,Spanish - Spain,Dutch,Japanese,Korean,Polish,Portuguese - Brazil,Russian,Simplified Chinese,Thai,Traditional Chinese,Turkish",NaN,"Action,Free to Play"," About This Game War is raging, pilot! Are you ready for surprise attacks, intricate tactical maneuvers and the many sneaky tricks your rivals have in store for you? Destroy enemy robots, capture all the beacons, and upgrade your weapons to increase your battle robot’s combat strength, speed and durability. Prove yourself in each map and use different strategies and tactics to emerge victorious in battle. The renowned iOS and Android hit is coming to Steam! Fight other Pilots from all over the world and join millions of existing players! FEATURES: Tactical 6v6 PVP 45 battle robots with different strengths over 50 weapon types, including ballistic missiles, energy and plasma guns. What will you choose? 12 Maps to battle on! numerous possible combinations of robots and weapons. Create a war machine to fit your own playing style; create your own clan and lead it to glorious victories; join epic PvP battles against rivals from all over the world; complete military tasks for bonuses and earn the title Best Pilot. Onward, soldier! Victory is yours!",,"Minimum:,OS:,Windows 7,Processor:,2.5 GHz,Memory:,2 GB RAM,Graphics:,Intel HD Graphics 4000,DirectX:,Version 10,Storage:,1500 MB available space","Recommended:,OS:,Windows 10,Processor:,3.2 GHz,Memory:,8 GB RAM,Graphics:,NVIDIA GTX 960,DirectX:,Version 11,Network:,Broadband Internet connection,Storage:,2 GB available space",Free To Play, diff --git a/datajunction-query/docker/cockroachdb/steam-hours-played.csv b/datajunction-query/docker/cockroachdb/steam-hours-played.csv new file mode 100644 index 000000000..ea3a9ff01 --- /dev/null +++ b/datajunction-query/docker/cockroachdb/steam-hours-played.csv @@ -0,0 +1,50 @@ +151603712,"DOOM",purchase,1.0,0 +151603712,"DOOM",play,273.0,0 +151603712,"PLAYERUNKNOWN'S BATTLEGROUNDS",purchase,1.0,0 +151603712,"Grand Theft Auto V: Premium Online Edition",play,87.0,0 +151603712,"Devil May Cry 5",purchase,1.0,0 +151603712,"Devil May Cry 5",play,14.9,0 +151603712,"TERA",purchase,1.0,0 +151603712,"Call of Duty®: Modern Warfare® Remastered",play,12.1,0 +151603712,"Call of Duty®: Modern Warfare® Remastered",purchase,1.0,0 +151603712,"Clone Drone in the Danger Zone",play,8.9,0 +151603712,"Hearts of Iron IV: Mobilization Pack",purchase,1.0,0 +151603712,"DayZ",play,8.5,0 +151603712,"DayZ",purchase,1.0,0 +151603712,"Path of Exile",play,8.1,0 +151603712,"Warhammer: Chaosbane",purchase,1.0,0 +151603712,"Warhammer: Chaosbane",play,7.5,0 +151603712,"For The King",purchase,1.0,0 +151603712,"For The King",play,3.3,0 +151603712,"Danganronpa V3: Killing Harmony",purchase,1.0,0 +151603712,"Danganronpa V3: Killing Harmony",play,2.8,0 +151603712,"Human: Fall Flat",purchase,1.0,0 +151603712,"Human: Fall Flat",play,2.5,0 +151603712,"The Banner Saga",purchase,1.0,0 +151603712,"The Banner Saga",play,2.0,0 +151603712,"Call of Duty®: Modern Warfare® Remastered",purchase,1.0,0 +151603712,"Call of Duty®: Modern Warfare® Remastered",play,1.4,0 +151603712,"BioShock Infinite",purchase,1.0,0 +151603712,"BioShock Infinite",play,1.3,0 +151603712,"Call of Duty®: Modern Warfare® Remastered",purchase,1.0,0 +151603712,"Call of Duty®: Modern Warfare® Remastered",play,1.3,0 +151603712,"Call of Duty®: Modern Warfare® Remastered",purchase,1.0,0 +151603712,"Call of Duty®: Modern Warfare® Remastered",play,0.8,0 +151603712,"Grand Theft Auto IV",purchase,1.0,0 +151603712,"Grand Theft Auto IV",play,0.8,0 +151603712,"Grand Theft Auto IV",purchase,1.0,0 +151603712,"Grand Theft Auto IV",play,0.6,0 +151603712,"Grand Theft Auto V: Premium Online Edition",purchase,1.0,0 +151603712,"Grand Theft Auto V: Premium Online Edition",play,0.5,0 +151603712,"Grand Theft Auto V: Premium Online Edition",purchase,1.0,0 +151603712,"Grand Theft Auto V: Premium Online Edition",play,0.5,0 +151603712,"EVE Online",purchase,1.0,0 +151603712,"EVE Online",play,0.5,0 +151603712,"EVE Online",purchase,1.0,0 +151603712,"EVE Online",play,0.5,0 +151603712,"Stonehearth",purchase,1.0,0 +151603712,"Stonehearth",play,0.5,0 +151603712,"Hearts of Iron IV: Mobilization Pack",purchase,1.0,0 +151603712,"Hearts of Iron IV: Mobilization Pack",play,0.4,0 +151603712,"Hearts of Iron IV: Mobilization Pack",purchase,1.0,0 +151603712,"Hearts of Iron IV: Mobilization Pack",play,0.1,0 diff --git a/datajunction-query/docker/default.duckdb b/datajunction-query/docker/default.duckdb new file mode 100644 index 000000000..560fc4f37 Binary files /dev/null and b/datajunction-query/docker/default.duckdb differ diff --git a/examples/docker/environment b/datajunction-query/docker/druid_environment similarity index 91% rename from examples/docker/environment rename to datajunction-query/docker/druid_environment index 20eceb0b8..c8f7753b3 100644 --- a/examples/docker/environment +++ b/datajunction-query/docker/druid_environment @@ -9,11 +9,11 @@ druid_emitter_logging_logLevel=debug druid_extensions_loadList=["druid-histogram", "druid-datasketches", "druid-lookups-cached-global", "postgresql-metadata-storage"] -druid_zk_service_host=zookeeper +druid_zk_service_host=druid_zookeeper druid_metadata_storage_host= druid_metadata_storage_type=postgresql -druid_metadata_storage_connector_connectURI=jdbc:postgresql://postgres:5432/druid +druid_metadata_storage_connector_connectURI=jdbc:postgresql://druid_postgres:5432/druid druid_metadata_storage_connector_user=druid druid_metadata_storage_connector_password=FoolishPassword diff --git a/examples/docker/druid_init.sh b/datajunction-query/docker/druid_init.sh similarity index 100% rename from examples/docker/druid_init.sh rename to datajunction-query/docker/druid_init.sh diff --git a/examples/docker/druid_spec.json b/datajunction-query/docker/druid_spec.json similarity index 86% rename from examples/docker/druid_spec.json rename to datajunction-query/docker/druid_spec.json index 634481ad4..c71e75969 100644 --- a/examples/docker/druid_spec.json +++ b/datajunction-query/docker/druid_spec.json @@ -24,7 +24,7 @@ "type": "uniform", "queryGranularity": "HOUR", "rollup": true, - "segmentGranularity": "DAY" + "segmentGranularity": "day" }, "timestampSpec": { "column": "timestamp", @@ -32,6 +32,8 @@ }, "dimensionsSpec": { "dimensions": [ + "id", + "user_id", "text" ] }, @@ -39,16 +41,6 @@ { "name": "count", "type": "count" - }, - { - "name": "sum_id", - "type": "longSum", - "fieldName": "id" - }, - { - "name": "sum_user_id", - "type": "longSum", - "fieldName": "user_id" } ] } diff --git a/datajunction-query/docker/duckdb.sql b/datajunction-query/docker/duckdb.sql new file mode 100644 index 000000000..eee52213f --- /dev/null +++ b/datajunction-query/docker/duckdb.sql @@ -0,0 +1,584 @@ +CREATE SCHEMA roads; + +CREATE TABLE roads.repair_type ( + repair_type_id int, + repair_type_name string, + contractor_id string +); +INSERT INTO roads.repair_type VALUES +(1, 'Asphalt Overlay', 'Asphalt overlays restore roads to a smooth condition. This resurfacing uses the deteriorating asphalt as a base for which the new layer is added on top of, instead of tearing up the worsening one.'), +(2, 'Patching', 'Patching is the process of filling potholes or excavated areas in the asphalt pavement. Quick repair of potholes or other pavement disintegration helps control further deterioration and expensive repair of the pavement. Without timely patching, water can enter the sub-grade and cause larger and more serious pavement failures.'), +(3, 'Reshaping', 'This is necessary when a road surface it too damaged to be smoothed. Using a grader blade and scarifying if necessary, you rework the gravel sub-base to eliminate large potholes and rebuild a flattened crown.'), +(4, 'Slab Replacement', 'This refers to replacing sections of paved roads. It is a good option for when slabs are chipped, cracked, or uneven, and mitigates the need to replace the entire road when just a small section is damaged.'), +(5, 'Smoothing', 'This is when you lightly rework the gravel of a road without digging in too far to the sub-base. Typically, a motor grader is used in this operation with an attached blade. Smoothing is done when the road has minor damage or is just worn down a bit from use.'), +(6, 'Reconstruction', 'When roads have deteriorated to a point that it is no longer cost-effective to maintain, the entire street or road needs to be rebuilt. Typically, this work is done in phases to limit traffic restrictions. As part of reconstruction, the street may be realigned to improve safety or operations, grading may be changed to improve storm water flow, underground utilities may be added, upgraded or relocated, traffic signals and street lights may be relocated, and street trees and pedestrian ramps may be added.'); + +CREATE TABLE roads.municipality ( + municipality_id string, + contact_name string, + contact_title string, + local_region string, + state_id int, + phone string +); +INSERT INTO roads.municipality VALUES +('New York', 'Alexander Wilkinson', 'Assistant City Clerk', 'Manhattan', 33, '202-291-2922'), +('Los Angeles', 'Hugh Moser', 'Administrative Assistant', 'Santa Monica', 5, '808-211-2323'), +('Chicago', 'Phillip Bradshaw', 'Director of Community Engagement', 'West Ridge', 14, '425-132-3421'), +('Houston', 'Leo Ackerman', 'Municipal Roads Specialist', 'The Woodlands', 44, '413-435-8641'), +('Phoenix', 'Jessie Paul', 'Director of Finance and Administration', 'Old Town Scottsdale', 3, '321-425-5427'), +('Philadelphia', 'Willie Chaney', 'Municipal Manager', 'Center City', 39, '212-213-5361'), +('San Antonio', 'Chester Lyon', 'Treasurer', 'Alamo Heights', 44, '252-216-6938'), +('San Diego', 'Ralph Helms', 'Senior Electrical Project Manager', 'Del Mar', 5, '491-813-2417'), +('Dallas', 'Virgil Craft', 'Assistant Assessor (Town/Municipality)', 'Deep Ellum', 44, '414-563-7894'), +('San Jose', 'Charles Carney', 'Municipal Accounting Manager', 'Santana Row', 5, '408-313-0698'); + +CREATE TABLE roads.hard_hats ( + hard_hat_id int, + last_name string, + first_name string, + title string, + birth_date date, + hire_date date, + address string, + city string, + state string, + postal_code string, + country string, + manager int, + contractor_id int +); +INSERT INTO roads.hard_hats VALUES +(1, 'Brian', 'Perkins', 'Construction Laborer', cast('1978-11-28' as date), cast('2009-02-06' as date), '4 Jennings Ave.', 'Jersey City', 'NJ', '37421', 'USA', 9, 1), +(2, 'Nicholas', 'Massey', 'Carpenter', cast('1993-02-19' as date), cast('2003-04-14' as date), '9373 Southampton Street', 'Middletown', 'CT', '27292', 'USA', 9, 1), +(3, 'Cathy', 'Best', 'Framer', cast('1994-08-30' as date), cast('1990-07-02' as date), '4 Hillside Street', 'Billerica', 'MA', '13440', 'USA', 9, 2), +(4, 'Melanie', 'Stafford', 'Construction Manager', cast('1966-03-19' as date), cast('2003-02-02' as date), '77 Studebaker Lane', 'Southampton', 'PA', '71730', 'USA', 9, 2), +(5, 'Donna', 'Riley', 'Pre-construction Manager', cast('1983-03-14' as date), cast('2012-01-13' as date), '82 Taylor Drive', 'Southgate', 'MI', '33125', 'USA', 9, 4), +(6, 'Alfred', 'Clarke', 'Construction Superintendent', cast('1979-01-12' as date), cast('2013-10-17' as date), '7729 Catherine Street', 'Powder Springs', 'GA', '42001', 'USA', 9, 2), +(7, 'William', 'Boone', 'Construction Laborer', cast('1970-02-28' as date), cast('2013-01-02' as date), '1 Border St.', 'Niagara Falls', 'NY', '14304', 'USA', 9, 4), +(8, 'Luka', 'Henderson', 'Construction Laborer', cast('1988-12-09' as date), cast('2013-03-05' as date), '794 S. Chapel Ave.', 'Phoenix', 'AZ', '85021', 'USA', 9, 1), +(9, 'Patrick', 'Ziegler', 'Construction Laborer', cast('1976-11-27' as date), cast('2020-11-15' as date), '321 Gainsway Circle', 'Muskogee', 'OK', '74403', 'USA', 9, 3); + +CREATE TABLE roads.hard_hat_state ( + hard_hat_id int, + state_id int +); +INSERT INTO roads.hard_hat_state VALUES +(1, 2), +(2, 32), +(3, 28), +(4, 12), +(5, 5), +(6, 3), +(7, 16), +(8, 32), +(9, 41); + +CREATE TABLE roads.repair_order_details ( + repair_order_id int, + repair_type_id int, + price real NOT NULL, + quantity int, + discount real NOT NULL +); +INSERT INTO roads.repair_order_details VALUES +(10001, 1, 63708, 1, 0.05), +(10002, 4, 67253, 1, 0.05), +(10003, 2, 66808, 1, 0.05), +(10004, 4, 18497, 1, 0.05), +(10005, 7, 76463, 1, 0.05), +(10006, 4, 87858, 1, 0.05), +(10007, 1, 63918, 1, 0.05), +(10008, 6, 21083, 1, 0.05), +(10009, 3, 74555, 1, 0.05), +(10010, 5, 27222, 1, 0.05), +(10011, 5, 73600, 1, 0.05), +(10012, 3, 54901, 1, 0.01), +(10013, 5, 51594, 1, 0.01), +(10014, 1, 65114, 1, 0.01), +(10015, 1, 48919, 1, 0.01), +(10016, 3, 70418, 1, 0.01), +(10017, 1, 29684, 1, 0.01), +(10018, 2, 62928, 1, 0.01), +(10019, 2, 97916, 1, 0.01), +(10020, 5, 44120, 1, 0.01), +(10021, 1, 53374, 1, 0.01), +(10022, 2, 87289, 1, 0.01), +(10023, 2, 92366, 1, 0.01), +(10024, 2, 47857, 1, 0.01), +(10025, 1, 68745, 1, 0.01); + +CREATE TABLE roads.repair_orders ( + repair_order_id int, + municipality_id string, + hard_hat_id int, + order_date date, + required_date date, + dispatched_date date, + dispatcher_id int +); +INSERT INTO roads.repair_orders VALUES +(10001, 'New York', 1, cast('2007-07-04' as date), cast('2009-07-18' as date), cast('2007-12-01' as date), 3), +(10002, 'New York', 3, cast('2007-07-05' as date), cast('2009-08-28' as date), cast('2007-12-01' as date), 1), +(10003, 'New York', 5, cast('2007-07-08' as date), cast('2009-08-12' as date), cast('2007-12-01' as date), 2), +(10004, 'Dallas', 1, cast('2007-07-08' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 1), +(10005, 'San Antonio', 8, cast('2007-07-09' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 2), +(10006, 'New York', 3, cast('2007-07-10' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 2), +(10007, 'Philadelphia', 4, cast('2007-04-21' as date), cast('2009-08-08' as date), cast('2007-12-01' as date), 2), +(10008, 'Philadelphia', 5, cast('2007-04-22' as date), cast('2009-08-09' as date), cast('2007-12-01' as date), 3), +(10009, 'Philadelphia', 3, cast('2007-04-25' as date), cast('2009-08-12' as date), cast('2007-12-01' as date), 2), +(10010, 'Philadelphia', 4, cast('2007-04-26' as date), cast('2009-08-13' as date), cast('2007-12-01' as date), 3), +(10011, 'Philadelphia', 4, cast('2007-04-27' as date), cast('2009-08-14' as date), cast('2007-12-01' as date), 1), +(10012, 'Philadelphia', 8, cast('2007-04-28' as date), cast('2009-08-15' as date), cast('2007-12-01' as date), 3), +(10013, 'Philadelphia', 4, cast('2007-04-29' as date), cast('2009-08-16' as date), cast('2007-12-01' as date), 1), +(10014, 'Philadelphia', 6, cast('2007-04-29' as date), cast('2009-08-16' as date), cast('2007-12-01' as date), 2), +(10015, 'Philadelphia', 2, cast('2007-04-12' as date), cast('2009-08-19' as date), cast('2007-12-01' as date), 3), +(10016, 'Philadelphia', 9, cast('2007-04-13' as date), cast('2009-08-20' as date), cast('2007-12-01' as date), 3), +(10017, 'Philadelphia', 2, cast('2007-04-14' as date), cast('2009-08-21' as date), cast('2007-12-01' as date), 3), +(10018, 'Philadelphia', 6, cast('2007-04-15' as date), cast('2009-08-22' as date), cast('2007-12-01' as date), 1), +(10019, 'Philadelphia', 5, cast('2007-05-16' as date), cast('2009-09-06' as date), cast('2007-12-01' as date), 3), +(10020, 'Philadelphia', 1, cast('2007-05-19' as date), cast('2009-08-26' as date), cast('2007-12-01' as date), 1), +(10021, 'Philadelphia', 7, cast('2007-05-10' as date), cast('2009-08-27' as date), cast('2007-12-01' as date), 3), +(10022, 'Philadelphia', 5, cast('2007-05-11' as date), cast('2009-08-14' as date), cast('2007-12-01' as date), 1), +(10023, 'Philadelphia', 1, cast('2007-05-11' as date), cast('2009-08-29' as date), cast('2007-12-01' as date), 1), +(10024, 'Philadelphia', 5, cast('2007-05-11' as date), cast('2009-08-29' as date), cast('2007-12-01' as date), 2), +(10025, 'Philadelphia', 6, cast('2007-05-12' as date), cast('2009-08-30' as date), cast('2007-12-01' as date), 2); + +CREATE TABLE roads.dispatchers ( + dispatcher_id int, + company_name string, + phone string +); +INSERT INTO roads.dispatchers VALUES +(1, 'Pothole Pete', '(111) 111-1111'), +(2, 'Asphalts R Us', '(222) 222-2222'), +(3, 'Federal Roads Group', '(333) 333-3333'), +(4, 'Local Patchers', '1-800-888-8888'), +(5, 'Gravel INC', '1-800-000-0000'), +(6, 'DJ Developers', '1-111-111-1111'); + +CREATE TABLE roads.contractors ( + contractor_id int, + company_name string, + contact_name string, + contact_title string, + address string, + city string, + state string, + postal_code string, + country string, + phone string +); +INSERT INTO roads.contractors VALUES +(1, 'You Need Em We Find Em', 'Max Potter', 'Assistant Director', '4 Plumb Branch Lane', 'Goshen', 'IN', '46526', 'USA', '(111) 111-1111'), +(2, 'Call Forwarding', 'Sylvester English', 'Administrator', '9650 Mill Lane', 'Raeford', 'NC', '28376', 'USA', '(222) 222-2222'), +(3, 'The Connect', 'Paul Raymond', 'Administrator', '7587 Myrtle Ave.', 'Chaska', 'MN', '55318', 'USA', '(333) 333-3333'); + +CREATE TABLE roads.us_region ( + us_region_id int, + us_region_description string +); +INSERT INTO roads.us_region VALUES +(1, 'Eastern'), +(2, 'Western'), +(3, 'Northern'), +(4, 'Southern'); + +CREATE TABLE roads.us_states ( + state_id int, + state_name string, + state_abbr string, + state_region string +); +INSERT INTO roads.us_states VALUES +(1, 'Alabama', 'AL', 'Southern'), +(2, 'Alaska', 'AK', 'Northern'), +(3, 'Arizona', 'AZ', 'Western'), +(4, 'Arkansas', 'AR', 'Southern'), +(5, 'California', 'CA', 'Western'), +(6, 'Colorado', 'CO', 'Western'), +(7, 'Connecticut', 'CT', 'Eastern'), +(8, 'Delaware', 'DE', 'Eastern'), +(9, 'District of Columbia', 'DC', 'Eastern'), +(10, 'Florida', 'FL', 'Southern'), +(11, 'Georgia', 'GA', 'Southern'), +(12, 'Hawaii', 'HI', 'Western'), +(13, 'Idaho', 'ID', 'Western'), +(14, 'Illinois', 'IL', 'Western'), +(15, 'Indiana', 'IN', 'Western'), +(16, 'Iowa', 'IO', 'Western'), +(17, 'Kansas', 'KS', 'Western'), +(18, 'Kentucky', 'KY', 'Southern'), +(19, 'Louisiana', 'LA', 'Southern'), +(20, 'Maine', 'ME', 'Northern'), +(21, 'Maryland', 'MD', 'Eastern'), +(22, 'Massachusetts', 'MA', 'Northern'), +(23, 'Michigan', 'MI', 'Northern'), +(24, 'Minnesota', 'MN', 'Northern'), +(25, 'Mississippi', 'MS', 'Southern'), +(26, 'Missouri', 'MO', 'Southern'), +(27, 'Montana', 'MT', 'Western'), +(28, 'Nebraska', 'NE', 'Western'), +(29, 'Nevada', 'NV', 'Western'), +(30, 'New Hampshire', 'NH', 'Eastern'), +(31, 'New Jersey', 'NJ', 'Eastern'), +(32, 'New Mexico', 'NM', 'Western'), +(33, 'New York', 'NY', 'Eastern'), +(34, 'North Carolina', 'NC', 'Eastern'), +(35, 'North Dakota', 'ND', 'Western'), +(36, 'Ohio', 'OH', 'Western'), +(37, 'Oklahoma', 'OK', 'Western'), +(38, 'Oregon', 'OR', 'Western'), +(39, 'Pennsylvania', 'PA', 'Eastern'), +(40, 'Rhode Island', 'RI', 'Eastern'), +(41, 'South Carolina', 'SC', 'Eastern'), +(42, 'South Dakota', 'SD', 'Western'), +(43, 'Tennessee', 'TN', 'Western'), +(44, 'Texas', 'TX', 'Western'), +(45, 'Utah', 'UT', 'Western'), +(46, 'Vermont', 'VT', 'Eastern'), +(47, 'Virginia', 'VA', 'Eastern'), +(48, 'Washington', 'WA', 'Western'), +(49, 'West Virginia', 'WV', 'Southern'), +(50, 'Wisconsin', 'WI', 'Western'), +(51, 'Wyoming', 'WY', 'Western'); + +CREATE TABLE roads.municipality_municipality_type ( + municipality_id string, + municipality_type_id string +); +INSERT INTO roads.municipality_municipality_type VALUES +('New York', 'A'), +('Los Angeles', 'B'), +('Chicago', 'B'), +('Houston', 'A'), +('Phoenix', 'A'), +('Philadelphia', 'B'), +('San Antonio', 'A'), +('San Diego', 'B'), +('Dallas', 'A'), +('San Jose', 'B'); + +CREATE TABLE roads.municipality_type ( + municipality_type_id string, + municipality_type_desc string +); +INSERT INTO roads.municipality_type VALUES +('A', 'Primary'), +('A', 'Secondary'); + +CREATE SCHEMA campaigns; + +CREATE TABLE campaigns.campaign_views ( + campaign_id int, + campaign_name string, + created_at timestamp, + views int +); + +INSERT INTO campaigns.campaign_views VALUES +(1, 'Clean Up Your Yard Marketing', epoch_ms(1526290800000), 120), +(2, 'Summer Sale Campaign', epoch_ms(1456472400000), 500), +(3, 'New Product Launch', epoch_ms(1341392400000), 250), +(4, 'Holiday Special Offers', epoch_ms(1451600400000), 800), +(5, 'Spring Cleaning Deals', epoch_ms(1472667600000), 300), +(6, 'Back to School Promotion', epoch_ms(1293848400000), 150), +(7, 'Winter Clearance Sale', epoch_ms(1512123600000), 900), +(8, 'Outdoor Adventure Campaign', epoch_ms(1288779600000), 400), +(9, 'Health and Wellness Expo', epoch_ms(1335795600000), 200), +(10, 'Summer Vacation Deals', epoch_ms(1462069200000), 600), +(11, 'Home Renovation Offers', epoch_ms(1396314000000), 350), +(12, 'Fashion Show Sponsorship', epoch_ms(1248478800000), 750), +(13, 'Charity Fundraising Drive', epoch_ms(1363563600000), 420), +(14, 'Tech Gadgets Showcase', epoch_ms(1433106000000), 230), +(15, 'Gourmet Food Festival', epoch_ms(1308032400000), 150), +(16, 'Music Concert Ticket Sales', epoch_ms(1380584400000), 550), +(17, 'Book Fair and Author Meet', epoch_ms(1262274000000), 180), +(18, 'Fitness Challenge Event', epoch_ms(1502053200000), 670), +(19, 'Pet Adoption Awareness', epoch_ms(1319638800000), 290), +(20, 'Art Exhibition Opening', epoch_ms(1409422800000), 390), +(21, 'Wedding Planning Expo', epoch_ms(1274245200000), 420), +(22, 'Sports Equipment Sale', epoch_ms(1419987600000), 780), +(23, 'Tech Startup Conference', epoch_ms(1370302800000), 210), +(24, 'Environmental Awareness', epoch_ms(1328053200000), 840), +(25, 'Travel and Adventure Expo', epoch_ms(1366832400000), 350), +(26, 'Automobile Showroom Launch', epoch_ms(1425162000000), 420), +(27, 'Film Festival Promotion', epoch_ms(1356997200000), 590), +(28, 'Summer Camp Enrollment', epoch_ms(1388778000000), 240), +(29, 'Online Shopping Festival', epoch_ms(1251776400000), 430), +(30, 'Healthcare Symposium', epoch_ms(1443642000000), 980); + +CREATE TABLE campaigns.email ( + campaign_id int, + email_address string, + email_id int, + last_contacted timestamp, + views int +); + +INSERT INTO campaigns.email VALUES +(1, 'mark@fakedomain.com', 1, to_timestamp(1451606400000), 2), +(1, 'john@fakedomain.com', 2, to_timestamp(1454284800000), 7), +(1, 'isaiah@fakedomain.com', 3, to_timestamp(1456790400000), 10), +(1, 'ruby@fakedomain.com', 4, to_timestamp(1459468800000), 5), +(1, 'oliver@fakedomain.com', 5, to_timestamp(1462060800000), 9), +(1, 'emma@fakedomain.com', 6, to_timestamp(1464739200000), 12), +(1, 'liam@fakedomain.com', 7, to_timestamp(1467331200000), 4), +(1, 'ava@fakedomain.com', 8, to_timestamp(1470009600000), 11), +(1, 'noah@fakedomain.com', 9, to_timestamp(1472688000000), 7), +(1, 'isabella@fakedomain.com', 10, to_timestamp(1475280000000), 3), +(2, 'sophia@fakedomain.com', 1, to_timestamp(1477958400000), 8), +(2, 'mason@fakedomain.com', 2, to_timestamp(1480550400000), 6), +(2, 'camila@fakedomain.com', 3, to_timestamp(1483228800000), 11), +(2, 'henry@fakedomain.com', 4, to_timestamp(1485907200000), 13), +(2, 'mia@fakedomain.com', 5, to_timestamp(1488326400000), 6), +(2, 'ethan@fakedomain.com', 6, to_timestamp(1491004800000), 9), +(2, 'lucas@fakedomain.com', 7, to_timestamp(1493596800000), 5), +(2, 'harper@fakedomain.com', 8, to_timestamp(1496275200000), 14), +(2, 'alexander@fakedomain.com', 9, to_timestamp(1498867200000), 12), +(2, 'abigail@fakedomain.com', 10, to_timestamp(1501545600000), 2), +(3, 'james@fakedomain.com', 1, to_timestamp(1504224000000), 7), +(3, 'amelia@fakedomain.com', 2, to_timestamp(1506816000000), 4), +(3, 'benjamin@fakedomain.com', 3, to_timestamp(1509494400000), 10), +(3, 'evelyn@fakedomain.com', 4, to_timestamp(1512086400000), 6), +(3, 'michael@fakedomain.com', 5, to_timestamp(1514764800000), 3), +(3, 'charlotte@fakedomain.com', 6, to_timestamp(1517443200000), 8), +(3, 'daniel@fakedomain.com', 7, to_timestamp(1520035200000), 12), +(3, 'harper@fakedomain.com', 8, to_timestamp(1522713600000), 9), +(3, 'lucas@fakedomain.com', 9, to_timestamp(1525305600000), 5), +(3, 'isabella@fakedomain.com', 10, to_timestamp(1527984000000), 11); + +CREATE TABLE campaigns.sms ( + campaign_id int, + phone_number string, + message string, + last_contacted timestamp, +); + +INSERT INTO campaigns.sms VALUES +(11, '(215) 111-1111', 'Click here to redeem 20% off!: http://smalllink', epoch_ms(1459468800000)), +(12, '(215) 222-2222', 'Interested in new lawn equipment?: http://smalllink', epoch_ms(1459468800001)), +(12, '(215) 333-3333', 'These sales will not last!: http://smalllink', epoch_ms(1459468800002)), +(13, '(215) 444-4444', 'Fall is here, enjoy half-off!: http://smalllink', epoch_ms(1459468800003)), +(14, '(215) 555-5555', 'Get the best deals today!: http://smalllink', epoch_ms(1459468800004)), +(15, '(215) 666-6666', 'Limited time offer - 30% off!: http://smalllink', epoch_ms(1459468800005)), +(16, '(215) 777-7777', 'Do not miss out on our sale!: http://smalllink', epoch_ms(1459468800006)), +(17, '(215) 888-8888', 'Exclusive discount for you!: http://smalllink', epoch_ms(1459468800007)), +(18, '(215) 999-9999', 'Shop now and save big!: http://smalllink', epoch_ms(1459468800008)), +(19, '(215) 000-0000', 'Huge clearance sale - up to 50% off!: http://smalllink', epoch_ms(1459468800009)), +(10, '(215) 123-4567', 'New arrivals with special discounts!: http://smalllink', epoch_ms(1459468800010)), +(11, '(215) 234-5678', 'Save money with our promo codes!: http://smalllink', epoch_ms(1459468800011)), +(12, '(215) 345-6789', 'Enjoy free shipping on all orders!: http://smalllink', epoch_ms(1459468800012)), +(13, '(215) 456-7890', 'Limited stock available - act fast!: http://smalllink', epoch_ms(1459468800013)), +(14, '(215) 567-8901', 'Upgrade your home with our deals!: http://smalllink', epoch_ms(1459468800014)), +(15, '(215) 678-9012', 'Special discount for loyal customers!: http://smalllink', epoch_ms(1459468800015)), +(16, '(215) 789-0123', 'Do not miss our summer sale!: http://smalllink', epoch_ms(1459468800016)), +(17, '(215) 890-1234', 'Exclusive offer - limited time only!: http://smalllink', epoch_ms(1459468800017)), +(18, '(215) 901-2345', 'Shop now and get a free gift!: http://smalllink', epoch_ms(1459468800018)), +(19, '(215) 012-3456', 'Big discounts on popular brands!: http://smalllink', epoch_ms(1459468800019)), +(10, '(215) 987-6543', 'Save up to 70% off on selected items!: http://smalllink', epoch_ms(1459468800020)), +(11, '(215) 876-5432', 'Limited time offer - buy one, get one free!: http://smalllink', epoch_ms(1459468800021)), +(12, '(215) 765-4321', 'Great deals for your next vacation!: http://smalllink', epoch_ms(1459468800022)), +(13, '(215) 654-3210', 'Get ready for the holiday season with our discounts!: http://smalllink', epoch_ms(1459468800023)), +(14, '(215) 543-2109', 'Save on electronics and gadgets!: http://smalllink', epoch_ms(1459468800024)), +(15, '(215) 432-1098', 'Limited stock available - you do not want to miss out!: http://smalllink', epoch_ms(1459468800025)), +(16, '(215) 321-0987', 'Shop now and enjoy free returns!: http://smalllink', epoch_ms(1459468800026)), +(17, '(215) 210-9876', 'Exclusive discount for online orders!: http://smalllink', epoch_ms(1459468800027)), +(18, '(215) 109-8765', 'Upgrade your wardrobe with our sale!: http://smalllink', epoch_ms(1459468800028)), +(19, '(215) 098-7654', 'Will you miss our clearance sale??: http://smalllink', epoch_ms(1459468800029)), +(10, '(215) 987-6543', 'Get the best deals for your home!: http://smalllink', epoch_ms(1459468800030)), +(12, '(215) 222-2222', 'New collection now available!: http://smalllink', epoch_ms(1459468800002)), +(13, '(215) 333-3333', 'Limited stock - dont miss out!: http://smalllink', epoch_ms(1459468800003)), +(14, '(215) 444-4444', 'Free shipping on all orders!: http://smalllink', epoch_ms(1459468800004)), +(15, '(215) 555-5555', 'Sign up for exclusive offers!: http://smalllink', epoch_ms(1459468800005)), +(16, '(215) 666-6666', 'Get ready for summer with our new arrivals!: http://smalllink', epoch_ms(1459468800006)), +(17, '(215) 777-7777', 'Limited time sale - up to 60% off!: http://smalllink', epoch_ms(1459468800007)), +(10, '(215) 111-2222', 'Shop now and receive a gift card!: http://smalllink', epoch_ms(1459468800010)), +(11, '(215) 222-3333', 'Final clearance - last chance to save!: http://smalllink', epoch_ms(1459468800011)), +(12, '(215) 333-4444', 'Get the latest fashion trends at discounted prices!: http://smalllink', epoch_ms(1459468800012)), +(13, '(215) 444-5555', 'Upgrade your electronics with our special offers!: http://smalllink', epoch_ms(1459468800013)), +(14, '(215) 555-6666', 'Big savings on home appliances!: http://smalllink', epoch_ms(1459468800014)), +(15, '(215) 666-7777', 'Limited stock - shop now before its gone!: http://smalllink', epoch_ms(1459468800015)), +(16, '(215) 777-8888', 'Get the best deals on beauty products!: http://smalllink', epoch_ms(1459468800016)), +(11, '(215) 012-3456', 'Dont miss our summer sale!: http://smalllink', epoch_ms(1459468800021)), +(12, '(215) 123-4567', 'Exclusive offer for our loyal customers!: http://smalllink', epoch_ms(1459468800022)), +(13, '(215) 234-5678', 'Shop now and enjoy free returns!: http://smalllink', epoch_ms(1459468800023)), +(14, '(215) 345-6789', 'Upgrade your gaming setup with our deals!: http://smalllink', epoch_ms(1459468800024)), +(15, '(215) 456-7890', 'Save on outdoor essentials for your next adventure!: http://smalllink', epoch_ms(1459468800025)), +(16, '(215) 567-8901', 'Limited time offer - buy one, get one free!: http://smalllink', epoch_ms(1459468800026)), +(19, '(215) 098-7654', 'Discover the latest tech gadgets at discounted prices!: http://smalllink', epoch_ms(1459468800029)), +(12, '(215) 876-5432', 'Get the perfect gift for your loved ones!: http://smalllink', epoch_ms(1459468800031)); + +CREATE TABLE campaigns.commercial ( + campaign_id int, + station string, + last_played timestamp, +); + +INSERT INTO campaigns.commercial VALUES +(23, 'Montgomery Oldies Station', epoch_ms(1688879124599)), +(21, 'Lithonia Jazz & Blues', epoch_ms(1688879124599)), +(20, 'Manchester 90s R&B', epoch_ms(1688879124599)), +(22, 'Los Angeles Rock Hits', epoch_ms(1688879124599)), +(23, 'Chicago Pop Mix', epoch_ms(1688879124599)), +(24, 'Houston Country Station', epoch_ms(1688879124599)), +(25, 'New York Hip Hop', epoch_ms(1688879124599)), +(26, 'Seattle Alternative Rock', epoch_ms(1688879124599)), +(27, 'Miami Latin Beats', epoch_ms(1688879124599)), +(28, 'Denver Indie Folk', epoch_ms(1688879124599)), +(29, 'Boston Classical', epoch_ms(1688879124599)), +(20, 'San Francisco Electronic', epoch_ms(1688879124599)), +(21, 'Philadelphia R&B Hits', epoch_ms(1688879124599)), +(22, 'Dallas Pop Punk', epoch_ms(1688879124599)), +(23, 'Atlanta Gospel', epoch_ms(1688879124599)), +(24, 'Las Vegas Hard Rock', epoch_ms(1688879124599)), +(25, 'Phoenix Country Hits', epoch_ms(1688879124599)), +(26, 'Portland Alternative', epoch_ms(1688879124599)), +(27, 'Austin Indie Rock', epoch_ms(1688879124599)), +(28, 'Nashville Country Classics', epoch_ms(1688879124599)), +(29, 'San Diego Surf Rock', epoch_ms(1688879124599)), +(20, 'Minneapolis Folk', epoch_ms(1688879124599)), +(21, 'Detroit Motown', epoch_ms(1688879124599)), +(22, 'Baltimore Jazz Lounge', epoch_ms(1688879124599)), +(23, 'Kansas City Blues', epoch_ms(1688879124599)), +(24, 'St. Louis Smooth Jazz', epoch_ms(1688879124599)), +(25, 'Cleveland Classic Rock', epoch_ms(1688879124599)), +(26, 'Pittsburgh Metal', epoch_ms(1688879124599)), +(27, 'Charlotte Pop Hits', epoch_ms(1688879124599)), +(28, 'Raleigh-Durham Indie Pop', epoch_ms(1688879124599)), +(29, 'Tampa Bay Reggae', epoch_ms(1688879124599)); + +CREATE SCHEMA games; + +CREATE TABLE games.titles ( + game_id int, + game_name string, + num_distinct_players int, + release_date timestamp, + platform string, + genre string, + publisher_id int, + developer_id int, + average_rating float, + online_mode boolean, + total_sales int, + active_monthly int, + dlcs int +); + +INSERT INTO games.titles ( + game_id, + game_name, + num_distinct_players, + release_date, + platform, + genre, + publisher_id, + developer_id, + average_rating, + online_mode, + total_sales, + active_monthly, + dlcs +) +VALUES + (1, 'Battle of the Chinchillas: Furry Fury', 1000, '2022-01-01 00:00:00', 'PS5', 'Action', 1, 928, 4.5, true, 1000000, 5000, 3), + (2, 'Grand Theft Toaster: Carb City Chronicles', 500, '2021-06-15 00:00:00', 'Xbox Series X', 'RPG', 1, 948, 4.2, false, 750000, 2500, 2), + (3, 'Super Slime Soccer: Gooey Goalkeepers', 2000, '2020-11-30 00:00:00', 'Nintendo Switch', 'Sports', 2, 937, 4.8, true, 500000, 3000, 4), + (4, 'Dance Dance Avocado: Guacamole Groove', 1500, '2022-08-20 00:00:00', 'PC', 'Rhythm', 22, 987, 4.6, true, 250000, 2000, 1), + (5, 'Zombie Zookeeper: Undead Menagerie', 800, '2023-02-10 00:00:00', 'PS4', 'Strategy', 13, 902, 4.4, false, 300000, 1500, 3), + (6, 'Squirrel Simulator: Nutty Adventure', 3000, '2021-03-05 00:00:00', 'Xbox One', 'Simulation', 15, 928, 4.2, true, 400000, 2500, 2), + (7, 'Crash Test Dummies: Wacky Collision', 1200, '2022-05-15 00:00:00', 'PC', 'Action', 12, 928, 4.7, false, 150000, 1000, 1), + (8, 'Pizza Delivery Panic: Cheesy Chaos', 1000, '2023-01-30 00:00:00', 'Nintendo Switch', 'Arcade', 8, 928, 4.3, true, 200000, 1800, 2), + (9, 'Alien Abduction Academy: Extraterrestrial Education', 2500, '2020-09-05 00:00:00', 'PS5', 'Adventure', 7, 987, 4.5, false, 800000, 3500, 3), + (10, 'Crazy Cat Circus: Meow Mayhem', 700, '2022-07-25 00:00:00', 'Xbox Series X', 'Puzzle', 18, 987, 4.1, true, 100000, 1200, 1), + (11, 'Robot Rampage: Mechanical Mayhem', 1800, '2021-04-12 00:00:00', 'PC', 'Action', 4, 987, 4.6, true, 450000, 2200, 2), + (12, 'Super Spy Squirrels: Nutty Espionage', 900, '2023-03-18 00:00:00', 'PS4', 'Stealth', 10, 934, 4.4, false, 400000, 1800, 3), + (13, 'Banana Blaster: Fruit Frenzy', 2800, '2021-02-08 00:00:00', 'Xbox One', 'Shooter', 10, 934, 4.3, true, 700000, 3000, 2), + (14, 'Penguin Paradise: Antarctic Adventure', 1100, '2022-04-05 00:00:00', 'PC', 'Simulation', 20, 902, 4.7, false, 200000, 1200, 1), + (15, 'Unicorn Universe: Rainbow Realm', 500, '2023-01-15 00:00:00', 'Nintendo Switch', 'Adventure', 1, 902, 4.2, true, 150000, 900, 2), + (16, 'Spaghetti Showdown: Saucy Shootout', 2100, '2020-10-20 00:00:00', 'PS5', 'Action', 4, 902, 4.4, true, 550000, 2500, 3), + (17, 'Bubblegum Bandits: Sticky Heist', 800, '2022-06-10 00:00:00', 'Xbox Series X', 'Stealth', 3, 902, 4.1, false, 180000, 800, 1), + (18, 'Safari Slingshot: Wild Wildlife', 1300, '2021-03-01 00:00:00', 'PC', 'Arcade', 3, 987, 4.6, true, 300000, 1500, 2), + (19, 'Monster Mop: Cleaning Catastrophe', 600, '2022-12-20 00:00:00', 'Nintendo Switch', 'Puzzle', 17, 934, 4.3, false, 120000, 700, 1), + (20, 'Galactic Golf: Space Swing', 1900, '2020-08-15 00:00:00', 'PS4', 'Sports', 5, 921, 4.5, true, 400000, 2000, 3), + (21, 'Funky Farm Friends: Groovy Gardening', 900, '2023-02-05 00:00:00', 'Xbox One', 'Simulation', 21, 921, 4.3, true, 250000, 1300, 2), + (22, 'Cake Crusaders: Sugary Siege', 1400, '2021-01-25 00:00:00', 'PC', 'Strategy', 23, 902, 4.7, false, 180000, 900, 1), + (23, 'Ninja Narwhal: Aquatic Assassin', 1000, '2022-03-15 00:00:00', 'Nintendo Switch', 'Action', 23, 901, 4.2, true, 150000, 1000, 2); + +CREATE TABLE games.publishers ( + publisher_id int PRIMARY KEY, + publisher_name string +); + +INSERT INTO games.publishers (publisher_id, publisher_name) +VALUES + (1, 'Wacky Game Studios'), + (2, 'Silly Monkey Games'), + (3, 'Laughing Unicorn Interactive'), + (4, 'Crazy Cat Games'), + (5, 'Quirky Penguin Productions'), + (6, 'Absurd Antelope Studios'), + (7, 'Hilarious Hedgehog Games'), + (8, 'Goofy Giraffe Studios'), + (9, 'Whimsical Walrus Entertainment'), + (10, 'Zany Zebra Games'), + (11, 'Ridiculous Rabbit Studios'), + (12, 'Funny Fox Interactive'), + (13, 'Surreal Snake Games'), + (14, 'Bizarre Bat Studios'), + (15, 'Madcap Moose Productions'), + (16, 'Cuckoo Clock Games'), + (17, 'Lunatic Llama Studios'), + (18, 'Silly Goose Games'), + (19, 'Bonkers Beaver Interactive'), + (20, 'Witty Walrus Games'); + +CREATE TABLE games.developers ( + developer_id int, + developer_name string, + num_games_developed int +); + +INSERT INTO games.developers (developer_id, developer_name, num_games_developed) +VALUES + (928, 'CrazyCodr', 10), + (948, 'PixelPirate', 5), + (937, 'CodeNinja', 3), + (987, 'GameWizard', 8), + (902, 'ByteBender', 15), + (934, 'CodeJester', 4), + (902, 'MadGenius', 12), + (921, 'GameGuru', 9), + (901, 'ScriptMage', 6); + +CREATE SCHEMA accounting; +CREATE TABLE accounting.payment_type_table ( + id int, + payment_type_name string, + payment_type_classification string +); + +INSERT INTO accounting.payment_type_table (id, payment_type_name, payment_type_classification) +VALUES + (1, 'VISA', 'CARD'), + (2, 'MASTERCARD', 'CARD'); + + +CREATE TABLE accounting.revenue ( + payment_id int, + payment_amount float, + payment_type int, + customer_id int, + account_type string +); + +INSERT INTO accounting.revenue (payment_id, payment_amount, payment_type, customer_id, account_type) +VALUES + (1, 25.5, 1, 2, 'ACTIVE'), + (2, 12.5, 2, 2, 'INACTIVE'), + (3, 89, 1, 3, 'ACTIVE'), + (4, 1293.2, 2, 2, 'ACTIVE'), + (5, 23, 1, 4, 'INACTIVE'), + (6, 398.13, 2, 3, 'ACTIVE'), + (7, 239.7, 2, 4, 'ACTIVE'),; diff --git a/datajunction-query/docker/duckdb_load.py b/datajunction-query/docker/duckdb_load.py new file mode 100644 index 000000000..163eab834 --- /dev/null +++ b/datajunction-query/docker/duckdb_load.py @@ -0,0 +1,11 @@ +import duckdb + +con = duckdb.connect("default.duckdb") + +with open("duckdb.sql", "r") as f: + queries = f.read().split(";") + +for q in queries: + if q.strip(): + con.sql(q) + print("Query executed successfully") diff --git a/datajunction-query/docker/postgres_init.roads.sql b/datajunction-query/docker/postgres_init.roads.sql new file mode 100644 index 000000000..24a28a63f --- /dev/null +++ b/datajunction-query/docker/postgres_init.roads.sql @@ -0,0 +1,273 @@ +DROP DATABASE IF EXISTS djdb; +CREATE DATABASE djdb; + +\connect djdb; + +CREATE SCHEMA IF NOT EXISTS roads; + +DROP TABLE IF EXISTS roads.municipality_municipality_type; +DROP TABLE IF EXISTS roads.municipality_type; +DROP TABLE IF EXISTS roads.repair_order_details; +DROP TABLE IF EXISTS roads.repair_orders; +DROP TABLE IF EXISTS roads.municipality; +DROP TABLE IF EXISTS roads.repair_type; +DROP TABLE IF EXISTS roads.dispatchers; +DROP TABLE IF EXISTS roads.contractors; +DROP TABLE IF EXISTS roads.us_states; +DROP TABLE IF EXISTS roads.us_region; +DROP TABLE IF EXISTS roads.hard_hats; +DROP TABLE IF EXISTS roads.hard_hat_state; + +CREATE TABLE roads.repair_type ( + repair_type_id smallint NOT NULL, + repair_type_name character varying(50) NOT NULL, + contractor_id text +); +INSERT INTO roads.repair_type VALUES (1, 'Asphalt Overlay', 'Asphalt overlays restore roads to a smooth condition. This resurfacing uses the deteriorating asphalt as a base for which the new layer is added on top of, instead of tearing up the worsening one.'); +INSERT INTO roads.repair_type VALUES (2, 'Patching', 'Patching is the process of filling potholes or excavated areas in the asphalt pavement. Quick repair of potholes or other pavement disintegration helps control further deterioration and expensive repair of the pavement. Without timely patching, water can enter the sub-grade and cause larger and more serious pavement failures.'); +INSERT INTO roads.repair_type VALUES (3, 'Reshaping', 'This is necessary when a road surface it too damaged to be smoothed. Using a grader blade and scarifying if necessary, you rework the gravel sub-base to eliminate large potholes and rebuild a flattened crown.'); +INSERT INTO roads.repair_type VALUES (4, 'Slab Replacement', 'This refers to replacing sections of paved roads. It is a good option for when slabs are chipped, cracked, or uneven, and mitigates the need to replace the entire road when just a small section is damaged.'); +INSERT INTO roads.repair_type VALUES (5, 'Smoothing', 'This is when you lightly rework the gravel of a road without digging in too far to the sub-base. Typically, a motor grader is used in this operation with an attached blade. Smoothing is done when the road has minor damage or is just worn down a bit from use.'); +INSERT INTO roads.repair_type VALUES (6, 'Reconstruction', 'When roads have deteriorated to a point that it is no longer cost-effective to maintain, the entire street or road needs to be rebuilt. Typically, this work is done in phases to limit traffic restrictions. As part of reconstruction, the street may be realigned to improve safety or operations, grading may be changed to improve storm water flow, underground utilities may be added, upgraded or relocated, traffic signals and street lights may be relocated, and street trees and pedestrian ramps may be added.'); + +CREATE TABLE roads.municipality ( + municipality_id character varying(20) NOT NULL, + contact_name character varying(30), + contact_title character varying(50), + local_region character varying(30), + state_id smallint NOT NULL +); +INSERT INTO roads.municipality VALUES ('New York', 'Alexander Wilkinson', 'Assistant City Clerk', 'Manhattan', 33); +INSERT INTO roads.municipality VALUES ('Los Angeles', 'Hugh Moser', 'Administrative Assistant', 'Santa Monica',5 ); +INSERT INTO roads.municipality VALUES ('Chicago', 'Phillip Bradshaw', 'Director of Community Engagement', 'West Ridge', 14); +INSERT INTO roads.municipality VALUES ('Houston', 'Leo Ackerman', 'Municipal Roads Specialist', 'The Woodlands', 44); +INSERT INTO roads.municipality VALUES ('Phoenix', 'Jessie Paul', 'Director of Finance and Administration', 'Old Town Scottsdale', 3); +INSERT INTO roads.municipality VALUES ('Philadelphia', 'Willie Chaney', 'Municipal Manager', 'Center City', 39); +INSERT INTO roads.municipality VALUES ('San Antonio', 'Chester Lyon', 'Treasurer', 'Alamo Heights', 44); +INSERT INTO roads.municipality VALUES ('San Diego', 'Ralph Helms', 'Senior Electrical Project Manager', 'Del Mar', 5); +INSERT INTO roads.municipality VALUES ('Dallas', 'Virgil Craft', 'Assistant Assessor (Town/Municipality)', 'Deep Ellum', 44); +INSERT INTO roads.municipality VALUES ('San Jose', 'Charles Carney', 'Municipal Accounting Manager', 'Santana Row', 5); + +CREATE TABLE roads.hard_hats ( + hard_hat_id smallint NOT NULL, + last_name character varying(20) NOT NULL, + first_name character varying(10) NOT NULL, + title character varying(30), + birth_date date, + hire_date date, + address character varying(60), + city character varying(15), + state character varying(15), + postal_code character varying(10), + country character varying(15), + manager smallint, + contractor_id smallint +); +INSERT INTO roads.hard_hats VALUES (1, 'Brian', 'Perkins', 'Construction Laborer', '1978-11-28', '2009-02-06', '4 Jennings Ave.', 'Jersey City', 'NJ', '37421', 'USA', 9, 1); +INSERT INTO roads.hard_hats VALUES (2, 'Nicholas', 'Massey', 'Carpenter', '1993-02-19', '2003-04-14', '9373 Southampton Street', 'Middletown', 'CT', '27292', 'USA', 9, 1); +INSERT INTO roads.hard_hats VALUES (3, 'Cathy', 'Best', 'Framer', '1994-08-30', '1990-07-02', '4 Hillside Street', 'Billerica', 'MA', '13440', 'USA', 9, 2); +INSERT INTO roads.hard_hats VALUES (4, 'Melanie', 'Stafford', 'Construction Manager', '1966-03-19', '2003-02-02', '77 Studebaker Lane', 'Southampton', 'PA', '71730', 'USA', 9, 2); +INSERT INTO roads.hard_hats VALUES (5, 'Donna', 'Riley', 'Pre-construction Manager', '1983-03-14', '2012-01-13', '82 Taylor Drive', 'Southgate', 'MI', '33125', 'USA', 9, 4); +INSERT INTO roads.hard_hats VALUES (6, 'Alfred', 'Clarke', 'Construction Superintendent', '1979-01-12', '2013-10-17', '7729 Catherine Street', 'Powder Springs', 'GA', '42001', 'USA', 9, 2); +INSERT INTO roads.hard_hats VALUES (7, 'William', 'Boone', 'Construction Laborer', '1970-02-28', '2013-01-02', '1 Border St.', 'Niagara Falls', 'NY', '14304', 'USA', 9, 4); +INSERT INTO roads.hard_hats VALUES (8, 'Luka', 'Henderson', 'Construction Laborer', '1988-12-09', '2013-03-05', '794 S. Chapel Ave.', 'Phoenix', 'AZ', '85021', 'USA', 9, 1); +INSERT INTO roads.hard_hats VALUES (9, 'Patrick', 'Ziegler', 'Construction Laborer', '1976-11-27', '2020-11-15', '321 Gainsway Circle', 'Muskogee', 'OK', '74403', 'USA', 9, 3); + +CREATE TABLE roads.hard_hat_state ( + hard_hat_id smallint NOT NULL, + state_id smallint NOT NULL +); +INSERT INTO roads.hard_hat_state VALUES (1, 2); +INSERT INTO roads.hard_hat_state VALUES (2, 32); +INSERT INTO roads.hard_hat_state VALUES (3, 28); +INSERT INTO roads.hard_hat_state VALUES (4, 12); +INSERT INTO roads.hard_hat_state VALUES (5, 5); +INSERT INTO roads.hard_hat_state VALUES (6, 3); +INSERT INTO roads.hard_hat_state VALUES (7, 16); +INSERT INTO roads.hard_hat_state VALUES (8, 32); +INSERT INTO roads.hard_hat_state VALUES (9, 41); + +CREATE TABLE roads.repair_order_details ( + repair_order_id smallint NOT NULL, + repair_type_id smallint NOT NULL, + price real NOT NULL, + quantity smallint NOT NULL, + discount real NOT NULL +); +INSERT INTO roads.repair_order_details VALUES (10001, 1, 63708, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10002, 4, 67253, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10003, 2, 66808, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10004, 4, 18497, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10005, 7, 76463, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10006, 4, 87858, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10007, 1, 63918, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10008, 6, 21083, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10009, 3, 74555, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10010, 5, 27222, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10011, 5, 73600, 1, 0.05); +INSERT INTO roads.repair_order_details VALUES (10012, 3, 54901, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10013, 5, 51594, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10014, 1, 65114, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10015, 1, 48919, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10016, 3, 70418, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10017, 1, 29684, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10018, 2, 62928, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10019, 2, 97916, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10020, 5, 44120, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10021, 1, 53374, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10022, 2, 87289, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10023, 2, 92366, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10024, 2, 47857, 1, 0.01); +INSERT INTO roads.repair_order_details VALUES (10025, 1, 68745, 1, 0.01); + +CREATE TABLE roads.repair_orders ( + repair_order_id smallint NOT NULL, + municipality_id character varying(20), + hard_hat_id smallint, + order_date date, + required_date date, + dispatched_date date, + dispatcher_id smallint +); +INSERT INTO roads.repair_orders VALUES (10001, 'New York', 1, '2007-07-04', '2009-07-18', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10002, 'New York', 3, '2007-07-05', '2009-08-28', '2007-12-01', 1); +INSERT INTO roads.repair_orders VALUES (10003, 'New York', 5, '2007-07-08', '2009-08-12', '2007-12-01', 2); +INSERT INTO roads.repair_orders VALUES (10004, 'Dallas', 1, '2007-07-08', '2009-08-01', '2007-12-01', 1); +INSERT INTO roads.repair_orders VALUES (10005, 'San Antonio', 8, '2007-07-09', '2009-08-01', '2007-12-01', 2); +INSERT INTO roads.repair_orders VALUES (10006, 'New York', 3, '2007-07-10', '2009-08-01', '2007-12-01', 2); +INSERT INTO roads.repair_orders VALUES (10007, 'Philadelphia', 4, '2007-04-21', '2009-08-08', '2007-12-01', 2); +INSERT INTO roads.repair_orders VALUES (10008, 'Philadelphia', 5, '2007-04-22', '2009-08-09', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10009, 'Philadelphia', 3, '2007-04-25', '2009-08-12', '2007-12-01', 2); +INSERT INTO roads.repair_orders VALUES (10010, 'Philadelphia', 4, '2007-04-26', '2009-08-13', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10011, 'Philadelphia', 4, '2007-04-27', '2009-08-14', '2007-12-01', 1); +INSERT INTO roads.repair_orders VALUES (10012, 'Philadelphia', 8, '2007-04-28', '2009-08-15', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10013, 'Philadelphia', 4, '2007-04-29', '2009-08-16', '2007-12-01', 1); +INSERT INTO roads.repair_orders VALUES (10014, 'Philadelphia', 6, '2007-04-29', '2009-08-16', '2007-12-01', 2); +INSERT INTO roads.repair_orders VALUES (10015, 'Philadelphia', 2, '2007-04-12', '2009-08-19', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10016, 'Philadelphia', 9, '2007-04-13', '2009-08-20', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10017, 'Philadelphia', 2, '2007-04-14', '2009-08-21', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10018, 'Philadelphia', 6, '2007-04-15', '2009-08-22', '2007-12-01', 1); +INSERT INTO roads.repair_orders VALUES (10019, 'Philadelphia', 5, '2007-05-16', '2009-09-06', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10020, 'Philadelphia', 1, '2007-05-19', '2009-08-26', '2007-12-01', 1); +INSERT INTO roads.repair_orders VALUES (10021, 'Philadelphia', 7, '2007-05-10', '2009-08-27', '2007-12-01', 3); +INSERT INTO roads.repair_orders VALUES (10022, 'Philadelphia', 5, '2007-05-11', '2009-08-14', '2007-12-01', 1); +INSERT INTO roads.repair_orders VALUES (10023, 'Philadelphia', 1, '2007-05-11', '2009-08-29', '2007-12-01', 1); +INSERT INTO roads.repair_orders VALUES (10024, 'Philadelphia', 5, '2007-05-11', '2009-08-29', '2007-12-01', 2); +INSERT INTO roads.repair_orders VALUES (10025, 'Philadelphia', 6, '2007-05-12', '2009-08-30', '2007-12-01', 2); + +CREATE TABLE roads.dispatchers ( + dispatcher_id smallint NOT NULL, + company_name character varying(40) NOT NULL, + phone character varying(24) +); +INSERT INTO roads.dispatchers VALUES (1, 'Pothole Pete', '(111) 111-1111'); +INSERT INTO roads.dispatchers VALUES (2, 'Asphalts R Us', '(222) 222-2222'); +INSERT INTO roads.dispatchers VALUES (3, 'Federal Roads Group', '(333) 333-3333'); +INSERT INTO roads.dispatchers VALUES (4, 'Local Patchers', '1-800-888-8888'); +INSERT INTO roads.dispatchers VALUES (5, 'Gravel INC', '1-800-000-0000'); +INSERT INTO roads.dispatchers VALUES (6, 'DJ Developers', '1-111-111-1111'); + +CREATE TABLE roads.contractors ( + contractor_id smallint NOT NULL, + company_name character varying(40) NOT NULL, + contact_name character varying(30), + contact_title character varying(30), + address character varying(60), + city character varying(15), + state character varying(15), + postal_code character varying(10), + country character varying(15), + phone character varying(24) +); +INSERT INTO roads.contractors VALUES (1, 'You Need Em We Find Em', 'Max Potter', 'Assistant Director', '4 Plumb Branch Lane', 'Goshen', 'IN', '46526', 'USA', '(111) 111-1111'); +INSERT INTO roads.contractors VALUES (2, 'Call Forwarding', 'Sylvester English', 'Administrator', '9650 Mill Lane', 'Raeford', 'NC', '28376', 'USA', '(222) 222-2222'); +INSERT INTO roads.contractors VALUES (3, 'The Connect', 'Paul Raymond', 'Administrator', '7587 Myrtle Ave.', 'Chaska', 'MN', '55318', 'USA', '(333) 333-3333'); + +CREATE TABLE roads.us_region ( + us_region_id smallint NOT NULL, + us_region_description character varying(60) NOT NULL +); +INSERT INTO roads.us_region VALUES (1, 'Eastern'); +INSERT INTO roads.us_region VALUES (2, 'Western'); +INSERT INTO roads.us_region VALUES (3, 'Northern'); +INSERT INTO roads.us_region VALUES (4, 'Southern'); + +CREATE TABLE roads.us_states ( + state_id smallint NOT NULL, + state_name character varying(100), + state_abbr character varying(2), + state_region character varying(50) +); +INSERT INTO roads.us_states VALUES (1, 'Alabama', 'AL', 'Southern'); +INSERT INTO roads.us_states VALUES (2, 'Alaska', 'AK', 'Northern'); +INSERT INTO roads.us_states VALUES (3, 'Arizona', 'AZ', 'Western'); +INSERT INTO roads.us_states VALUES (4, 'Arkansas', 'AR', 'Southern'); +INSERT INTO roads.us_states VALUES (5, 'California', 'CA', 'Western'); +INSERT INTO roads.us_states VALUES (6, 'Colorado', 'CO', 'Western'); +INSERT INTO roads.us_states VALUES (7, 'Connecticut', 'CT', 'Eastern'); +INSERT INTO roads.us_states VALUES (8, 'Delaware', 'DE', 'Eastern'); +INSERT INTO roads.us_states VALUES (9, 'District of Columbia', 'DC', 'Eastern'); +INSERT INTO roads.us_states VALUES (10, 'Florida', 'FL', 'Southern'); +INSERT INTO roads.us_states VALUES (11, 'Georgia', 'GA', 'Southern'); +INSERT INTO roads.us_states VALUES (12, 'Hawaii', 'HI', 'Western'); +INSERT INTO roads.us_states VALUES (13, 'Idaho', 'ID', 'Western'); +INSERT INTO roads.us_states VALUES (14, 'Illinois', 'IL', 'Western'); +INSERT INTO roads.us_states VALUES (15, 'Indiana', 'IN', 'Western'); +INSERT INTO roads.us_states VALUES (16, 'Iowa', 'IO', 'Western'); +INSERT INTO roads.us_states VALUES (17, 'Kansas', 'KS', 'Western'); +INSERT INTO roads.us_states VALUES (18, 'Kentucky', 'KY', 'Southern'); +INSERT INTO roads.us_states VALUES (19, 'Louisiana', 'LA', 'Southern'); +INSERT INTO roads.us_states VALUES (20, 'Maine', 'ME', 'Northern'); +INSERT INTO roads.us_states VALUES (21, 'Maryland', 'MD', 'Eastern'); +INSERT INTO roads.us_states VALUES (22, 'Massachusetts', 'MA', 'Northern'); +INSERT INTO roads.us_states VALUES (23, 'Michigan', 'MI', 'Northern'); +INSERT INTO roads.us_states VALUES (24, 'Minnesota', 'MN', 'Northern'); +INSERT INTO roads.us_states VALUES (25, 'Mississippi', 'MS', 'Southern'); +INSERT INTO roads.us_states VALUES (26, 'Missouri', 'MO', 'Southern'); +INSERT INTO roads.us_states VALUES (27, 'Montana', 'MT', 'Western'); +INSERT INTO roads.us_states VALUES (28, 'Nebraska', 'NE', 'Western'); +INSERT INTO roads.us_states VALUES (29, 'Nevada', 'NV', 'Western'); +INSERT INTO roads.us_states VALUES (30, 'New Hampshire', 'NH', 'Eastern'); +INSERT INTO roads.us_states VALUES (31, 'New Jersey', 'NJ', 'Eastern'); +INSERT INTO roads.us_states VALUES (32, 'New Mexico', 'NM', 'Western'); +INSERT INTO roads.us_states VALUES (33, 'New York', 'NY', 'Eastern'); +INSERT INTO roads.us_states VALUES (34, 'North Carolina', 'NC', 'Eastern'); +INSERT INTO roads.us_states VALUES (35, 'North Dakota', 'ND', 'Western'); +INSERT INTO roads.us_states VALUES (36, 'Ohio', 'OH', 'Western'); +INSERT INTO roads.us_states VALUES (37, 'Oklahoma', 'OK', 'Western'); +INSERT INTO roads.us_states VALUES (38, 'Oregon', 'OR', 'Western'); +INSERT INTO roads.us_states VALUES (39, 'Pennsylvania', 'PA', 'Eastern'); +INSERT INTO roads.us_states VALUES (40, 'Rhode Island', 'RI', 'Eastern'); +INSERT INTO roads.us_states VALUES (41, 'South Carolina', 'SC', 'Eastern'); +INSERT INTO roads.us_states VALUES (42, 'South Dakota', 'SD', 'Western'); +INSERT INTO roads.us_states VALUES (43, 'Tennessee', 'TN', 'Western'); +INSERT INTO roads.us_states VALUES (44, 'Texas', 'TX', 'Western'); +INSERT INTO roads.us_states VALUES (45, 'Utah', 'UT', 'Western'); +INSERT INTO roads.us_states VALUES (46, 'Vermont', 'VT', 'Eastern'); +INSERT INTO roads.us_states VALUES (47, 'Virginia', 'VA', 'Eastern'); +INSERT INTO roads.us_states VALUES (48, 'Washington', 'WA', 'Western'); +INSERT INTO roads.us_states VALUES (49, 'West Virginia', 'WV', 'Southern'); +INSERT INTO roads.us_states VALUES (50, 'Wisconsin', 'WI', 'Western'); +INSERT INTO roads.us_states VALUES (51, 'Wyoming', 'WY', 'Western'); + +CREATE TABLE roads.municipality_municipality_type ( + municipality_id character varying(20) NOT NULL, + municipality_type_id character varying(1) NOT NULL +); +INSERT INTO roads.municipality_municipality_type VALUES ('New York', 'A'); +INSERT INTO roads.municipality_municipality_type VALUES ('Los Angeles', 'B'); +INSERT INTO roads.municipality_municipality_type VALUES ('Chicago', 'B'); +INSERT INTO roads.municipality_municipality_type VALUES ('Houston', 'A'); +INSERT INTO roads.municipality_municipality_type VALUES ('Phoenix', 'A'); +INSERT INTO roads.municipality_municipality_type VALUES ('Philadelphia', 'B'); +INSERT INTO roads.municipality_municipality_type VALUES ('San Antonio', 'A'); +INSERT INTO roads.municipality_municipality_type VALUES ('San Diego', 'B'); +INSERT INTO roads.municipality_municipality_type VALUES ('Dallas', 'A'); +INSERT INTO roads.municipality_municipality_type VALUES ('San Jose', 'B'); + +CREATE TABLE roads.municipality_type ( + municipality_type_id character varying(1) NOT NULL, + municipality_type_desc text +); +INSERT INTO roads.municipality_type VALUES ('A', 'Primary'); +INSERT INTO roads.municipality_type VALUES ('A', 'Secondary'); diff --git a/datajunction-query/docker/postgres_init.sql b/datajunction-query/docker/postgres_init.sql new file mode 100644 index 000000000..f582f68b5 --- /dev/null +++ b/datajunction-query/docker/postgres_init.sql @@ -0,0 +1,63 @@ +-- +-- Basic example +-- +CREATE SCHEMA IF NOT EXISTS basic; + +-- +-- basic.dim_users +-- +CREATE TABLE IF NOT EXISTS basic.dim_users ( + id integer PRIMARY KEY, + full_name text, + age integer, + country text, + gender text, + preferred_language text +); + +INSERT INTO basic.dim_users (id, full_name, age, country, gender, preferred_language) + VALUES + (1, 'Alice One', 10, 'Argentina', 'female', 'Spanish'), + (2, 'Bob Two', 15, 'Brazil', 'male', 'Portuguese'), + (3, 'Charlie Three', 20, 'Chile', 'non-binary', 'Spanish'), + (4, 'Denise Four', 25, 'Denmark', 'female', 'Danish'), + (5, 'Ernie Five', 27, 'Equator', 'male', 'Spanish'), + (6, 'Fabian Six', 29, 'France', 'non-binary', 'French') +; + +-- +-- basic.comments +-- +CREATE TABLE IF NOT EXISTS basic.comments ( + id integer PRIMARY KEY, + user_id integer, + "timestamp" timestamp with time zone, + "text" text, + CONSTRAINT fk_user FOREIGN KEY (user_id) REFERENCES basic.dim_users (id) +); + +INSERT INTO basic.comments (id, user_id, "timestamp", "text") + VALUES + (1, 1, '2021-01-01 01:00:00', 'Hola!'), + (2, 2, '2021-01-01 02:00:00', 'Oi, tudo bom?'), + (3, 3, '2021-01-01 03:00:00', 'Que pasa?'), + (4, 4, '2021-01-01 04:00:00', 'Også mig'), + (5, 5, '2021-01-01 05:00:00', 'Bueno'), + (6, 6, '2021-01-01 06:00:00', 'Bonjour!'), + (7, 2, '2021-01-01 07:00:00', 'Prazer em conhecer'), + (8, 3, '2021-01-01 08:00:00', 'Si, si'), + (9, 4, '2021-01-01 09:00:00', 'Hej'), + (10, 5, '2021-01-01 10:00:00', 'Por supuesto'), + (11, 6, '2021-01-01 11:00:00', 'Oui, oui'), + (12, 3, '2021-01-01 12:00:00', 'Como no?'), + (13, 4, '2021-01-01 13:00:00', 'Farvel'), + (14, 5, '2021-01-01 14:00:00', 'Hola, amigo!'), + (15, 6, '2021-01-01 15:00:00', 'Très bien'), + (16, 4, '2021-01-01 16:00:00', 'Dejligt at møde dig'), + (17, 5, '2021-01-01 17:00:00', 'Dale!'), + (18, 6, '2021-01-01 18:00:00', 'Bien sûr!'), + (19, 5, '2021-01-01 19:00:00', 'Hasta luego!'), + (20, 6, '2021-01-01 20:00:00', 'À toute à l'' heure ! '), + (21, 6, '2021-01-01 21:00:00', 'Peut être'), + (22, 6, '2021-01-01 00:00:00', 'Cześć!') +; diff --git a/datajunction-query/docker/spark.roads.sql b/datajunction-query/docker/spark.roads.sql new file mode 100644 index 000000000..9f6e6ad06 --- /dev/null +++ b/datajunction-query/docker/spark.roads.sql @@ -0,0 +1,267 @@ +CREATE DATABASE roads; + +CREATE TABLE roads.repair_type ( + repair_type_id int, + repair_type_name string, + contractor_id string +); +INSERT INTO roads.repair_type VALUES +(1, 'Asphalt Overlay', 'Asphalt overlays restore roads to a smooth condition. This resurfacing uses the deteriorating asphalt as a base for which the new layer is added on top of, instead of tearing up the worsening one.'), +(2, 'Patching', 'Patching is the process of filling potholes or excavated areas in the asphalt pavement. Quick repair of potholes or other pavement disintegration helps control further deterioration and expensive repair of the pavement. Without timely patching, water can enter the sub-grade and cause larger and more serious pavement failures.'), +(3, 'Reshaping', 'This is necessary when a road surface it too damaged to be smoothed. Using a grader blade and scarifying if necessary, you rework the gravel sub-base to eliminate large potholes and rebuild a flattened crown.'), +(4, 'Slab Replacement', 'This refers to replacing sections of paved roads. It is a good option for when slabs are chipped, cracked, or uneven, and mitigates the need to replace the entire road when just a small section is damaged.'), +(5, 'Smoothing', 'This is when you lightly rework the gravel of a road without digging in too far to the sub-base. Typically, a motor grader is used in this operation with an attached blade. Smoothing is done when the road has minor damage or is just worn down a bit from use.'), +(6, 'Reconstruction', 'When roads have deteriorated to a point that it is no longer cost-effective to maintain, the entire street or road needs to be rebuilt. Typically, this work is done in phases to limit traffic restrictions. As part of reconstruction, the street may be realigned to improve safety or operations, grading may be changed to improve storm water flow, underground utilities may be added, upgraded or relocated, traffic signals and street lights may be relocated, and street trees and pedestrian ramps may be added.'); + +CREATE TABLE roads.municipality ( + municipality_id string, + contact_name string, + contact_title string, + local_region string, + state_id int +); +INSERT INTO roads.municipality VALUES +('New York', 'Alexander Wilkinson', 'Assistant City Clerk', 'Manhattan', 33), +('Los Angeles', 'Hugh Moser', 'Administrative Assistant', 'Santa Monica',5 ), +('Chicago', 'Phillip Bradshaw', 'Director of Community Engagement', 'West Ridge', 14), +('Houston', 'Leo Ackerman', 'Municipal Roads Specialist', 'The Woodlands', 44), +('Phoenix', 'Jessie Paul', 'Director of Finance and Administration', 'Old Town Scottsdale', 3), +('Philadelphia', 'Willie Chaney', 'Municipal Manager', 'Center City', 39), +('San Antonio', 'Chester Lyon', 'Treasurer', 'Alamo Heights', 44), +('San Diego', 'Ralph Helms', 'Senior Electrical Project Manager', 'Del Mar', 5), +('Dallas', 'Virgil Craft', 'Assistant Assessor (Town/Municipality)', 'Deep Ellum', 44), +('San Jose', 'Charles Carney', 'Municipal Accounting Manager', 'Santana Row', 5); + +CREATE TABLE roads.hard_hats ( + hard_hat_id int, + last_name string, + first_name string, + title string, + birth_date date, + hire_date date, + address string, + city string, + state string, + postal_code string, + country string, + manager int, + contractor_id int +); +INSERT INTO roads.hard_hats VALUES +(1, 'Brian', 'Perkins', 'Construction Laborer', cast('1978-11-28' as date), cast('2009-02-06' as date), '4 Jennings Ave.', 'Jersey City', 'NJ', '37421', 'USA', 9, 1), +(2, 'Nicholas', 'Massey', 'Carpenter', cast('1993-02-19' as date), cast('2003-04-14' as date), '9373 Southampton Street', 'Middletown', 'CT', '27292', 'USA', 9, 1), +(3, 'Cathy', 'Best', 'Framer', cast('1994-08-30' as date), cast('1990-07-02' as date), '4 Hillside Street', 'Billerica', 'MA', '13440', 'USA', 9, 2), +(4, 'Melanie', 'Stafford', 'Construction Manager', cast('1966-03-19' as date), cast('2003-02-02' as date), '77 Studebaker Lane', 'Southampton', 'PA', '71730', 'USA', 9, 2), +(5, 'Donna', 'Riley', 'Pre-construction Manager', cast('1983-03-14' as date), cast('2012-01-13' as date), '82 Taylor Drive', 'Southgate', 'MI', '33125', 'USA', 9, 4), +(6, 'Alfred', 'Clarke', 'Construction Superintendent', cast('1979-01-12' as date), cast('2013-10-17' as date), '7729 Catherine Street', 'Powder Springs', 'GA', '42001', 'USA', 9, 2), +(7, 'William', 'Boone', 'Construction Laborer', cast('1970-02-28' as date), cast('2013-01-02' as date), '1 Border St.', 'Niagara Falls', 'NY', '14304', 'USA', 9, 4), +(8, 'Luka', 'Henderson', 'Construction Laborer', cast('1988-12-09' as date), cast('2013-03-05' as date), '794 S. Chapel Ave.', 'Phoenix', 'AZ', '85021', 'USA', 9, 1), +(9, 'Patrick', 'Ziegler', 'Construction Laborer', cast('1976-11-27' as date), cast('2020-11-15' as date), '321 Gainsway Circle', 'Muskogee', 'OK', '74403', 'USA', 9, 3); + +CREATE TABLE roads.hard_hat_state ( + hard_hat_id int, + state_id int +); +INSERT INTO roads.hard_hat_state VALUES +(1, 2), +(2, 32), +(3, 28), +(4, 12), +(5, 5), +(6, 3), +(7, 16), +(8, 32), +(9, 41); + +CREATE TABLE roads.repair_order_details ( + repair_order_id int, + repair_type_id int, + price real NOT NULL, + quantity int, + discount real NOT NULL +); +INSERT INTO roads.repair_order_details VALUES +(10001, 1, 63708, 1, 0.05), +(10002, 4, 67253, 1, 0.05), +(10003, 2, 66808, 1, 0.05), +(10004, 4, 18497, 1, 0.05), +(10005, 7, 76463, 1, 0.05), +(10006, 4, 87858, 1, 0.05), +(10007, 1, 63918, 1, 0.05), +(10008, 6, 21083, 1, 0.05), +(10009, 3, 74555, 1, 0.05), +(10010, 5, 27222, 1, 0.05), +(10011, 5, 73600, 1, 0.05), +(10012, 3, 54901, 1, 0.01), +(10013, 5, 51594, 1, 0.01), +(10014, 1, 65114, 1, 0.01), +(10015, 1, 48919, 1, 0.01), +(10016, 3, 70418, 1, 0.01), +(10017, 1, 29684, 1, 0.01), +(10018, 2, 62928, 1, 0.01), +(10019, 2, 97916, 1, 0.01), +(10020, 5, 44120, 1, 0.01), +(10021, 1, 53374, 1, 0.01), +(10022, 2, 87289, 1, 0.01), +(10023, 2, 92366, 1, 0.01), +(10024, 2, 47857, 1, 0.01), +(10025, 1, 68745, 1, 0.01); + +CREATE TABLE roads.repair_orders ( + repair_order_id int, + municipality_id string, + hard_hat_id int, + order_date date, + required_date date, + dispatched_date date, + dispatcher_id int +); +INSERT INTO roads.repair_orders VALUES +(10001, 'New York', 1, cast('2007-07-04' as date), cast('2009-07-18' as date), cast('2007-12-01' as date), 3), +(10002, 'New York', 3, cast('2007-07-05' as date), cast('2009-08-28' as date), cast('2007-12-01' as date), 1), +(10003, 'New York', 5, cast('2007-07-08' as date), cast('2009-08-12' as date), cast('2007-12-01' as date), 2), +(10004, 'Dallas', 1, cast('2007-07-08' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 1), +(10005, 'San Antonio', 8, cast('2007-07-09' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 2), +(10006, 'New York', 3, cast('2007-07-10' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 2), +(10007, 'Philadelphia', 4, cast('2007-04-21' as date), cast('2009-08-08' as date), cast('2007-12-01' as date), 2), +(10008, 'Philadelphia', 5, cast('2007-04-22' as date), cast('2009-08-09' as date), cast('2007-12-01' as date), 3), +(10009, 'Philadelphia', 3, cast('2007-04-25' as date), cast('2009-08-12' as date), cast('2007-12-01' as date), 2), +(10010, 'Philadelphia', 4, cast('2007-04-26' as date), cast('2009-08-13' as date), cast('2007-12-01' as date), 3), +(10011, 'Philadelphia', 4, cast('2007-04-27' as date), cast('2009-08-14' as date), cast('2007-12-01' as date), 1), +(10012, 'Philadelphia', 8, cast('2007-04-28' as date), cast('2009-08-15' as date), cast('2007-12-01' as date), 3), +(10013, 'Philadelphia', 4, cast('2007-04-29' as date), cast('2009-08-16' as date), cast('2007-12-01' as date), 1), +(10014, 'Philadelphia', 6, cast('2007-04-29' as date), cast('2009-08-16' as date), cast('2007-12-01' as date), 2), +(10015, 'Philadelphia', 2, cast('2007-04-12' as date), cast('2009-08-19' as date), cast('2007-12-01' as date), 3), +(10016, 'Philadelphia', 9, cast('2007-04-13' as date), cast('2009-08-20' as date), cast('2007-12-01' as date), 3), +(10017, 'Philadelphia', 2, cast('2007-04-14' as date), cast('2009-08-21' as date), cast('2007-12-01' as date), 3), +(10018, 'Philadelphia', 6, cast('2007-04-15' as date), cast('2009-08-22' as date), cast('2007-12-01' as date), 1), +(10019, 'Philadelphia', 5, cast('2007-05-16' as date), cast('2009-09-06' as date), cast('2007-12-01' as date), 3), +(10020, 'Philadelphia', 1, cast('2007-05-19' as date), cast('2009-08-26' as date), cast('2007-12-01' as date), 1), +(10021, 'Philadelphia', 7, cast('2007-05-10' as date), cast('2009-08-27' as date), cast('2007-12-01' as date), 3), +(10022, 'Philadelphia', 5, cast('2007-05-11' as date), cast('2009-08-14' as date), cast('2007-12-01' as date), 1), +(10023, 'Philadelphia', 1, cast('2007-05-11' as date), cast('2009-08-29' as date), cast('2007-12-01' as date), 1), +(10024, 'Philadelphia', 5, cast('2007-05-11' as date), cast('2009-08-29' as date), cast('2007-12-01' as date), 2), +(10025, 'Philadelphia', 6, cast('2007-05-12' as date), cast('2009-08-30' as date), cast('2007-12-01' as date), 2); + +CREATE TABLE roads.dispatchers ( + dispatcher_id int, + company_name string, + phone string +); +INSERT INTO roads.dispatchers VALUES +(1, 'Pothole Pete', '(111) 111-1111'), +(2, 'Asphalts R Us', '(222) 222-2222'), +(3, 'Federal Roads Group', '(333) 333-3333'), +(4, 'Local Patchers', '1-800-888-8888'), +(5, 'Gravel INC', '1-800-000-0000'), +(6, 'DJ Developers', '1-111-111-1111'); + +CREATE TABLE roads.contractors ( + contractor_id int, + company_name string, + contact_name string, + contact_title string, + address string, + city string, + state string, + postal_code string, + country string, + phone string +); +INSERT INTO roads.contractors VALUES +(1, 'You Need Em We Find Em', 'Max Potter', 'Assistant Director', '4 Plumb Branch Lane', 'Goshen', 'IN', '46526', 'USA', '(111) 111-1111'), +(2, 'Call Forwarding', 'Sylvester English', 'Administrator', '9650 Mill Lane', 'Raeford', 'NC', '28376', 'USA', '(222) 222-2222'), +(3, 'The Connect', 'Paul Raymond', 'Administrator', '7587 Myrtle Ave.', 'Chaska', 'MN', '55318', 'USA', '(333) 333-3333'); + +CREATE TABLE roads.us_region ( + us_region_id int, + us_region_description string +); +INSERT INTO roads.us_region VALUES +(1, 'Eastern'), +(2, 'Western'), +(3, 'Northern'), +(4, 'Southern'); + +CREATE TABLE roads.us_states ( + state_id int, + state_name string, + state_abbr string, + state_region string +); +INSERT INTO roads.us_states VALUES +(1, 'Alabama', 'AL', 'Southern'), +(2, 'Alaska', 'AK', 'Northern'), +(3, 'Arizona', 'AZ', 'Western'), +(4, 'Arkansas', 'AR', 'Southern'), +(5, 'California', 'CA', 'Western'), +(6, 'Colorado', 'CO', 'Western'), +(7, 'Connecticut', 'CT', 'Eastern'), +(8, 'Delaware', 'DE', 'Eastern'), +(9, 'District of Columbia', 'DC', 'Eastern'), +(10, 'Florida', 'FL', 'Southern'), +(11, 'Georgia', 'GA', 'Southern'), +(12, 'Hawaii', 'HI', 'Western'), +(13, 'Idaho', 'ID', 'Western'), +(14, 'Illinois', 'IL', 'Western'), +(15, 'Indiana', 'IN', 'Western'), +(16, 'Iowa', 'IO', 'Western'), +(17, 'Kansas', 'KS', 'Western'), +(18, 'Kentucky', 'KY', 'Southern'), +(19, 'Louisiana', 'LA', 'Southern'), +(20, 'Maine', 'ME', 'Northern'), +(21, 'Maryland', 'MD', 'Eastern'), +(22, 'Massachusetts', 'MA', 'Northern'), +(23, 'Michigan', 'MI', 'Northern'), +(24, 'Minnesota', 'MN', 'Northern'), +(25, 'Mississippi', 'MS', 'Southern'), +(26, 'Missouri', 'MO', 'Southern'), +(27, 'Montana', 'MT', 'Western'), +(28, 'Nebraska', 'NE', 'Western'), +(29, 'Nevada', 'NV', 'Western'), +(30, 'New Hampshire', 'NH', 'Eastern'), +(31, 'New Jersey', 'NJ', 'Eastern'), +(32, 'New Mexico', 'NM', 'Western'), +(33, 'New York', 'NY', 'Eastern'), +(34, 'North Carolina', 'NC', 'Eastern'), +(35, 'North Dakota', 'ND', 'Western'), +(36, 'Ohio', 'OH', 'Western'), +(37, 'Oklahoma', 'OK', 'Western'), +(38, 'Oregon', 'OR', 'Western'), +(39, 'Pennsylvania', 'PA', 'Eastern'), +(40, 'Rhode Island', 'RI', 'Eastern'), +(41, 'South Carolina', 'SC', 'Eastern'), +(42, 'South Dakota', 'SD', 'Western'), +(43, 'Tennessee', 'TN', 'Western'), +(44, 'Texas', 'TX', 'Western'), +(45, 'Utah', 'UT', 'Western'), +(46, 'Vermont', 'VT', 'Eastern'), +(47, 'Virginia', 'VA', 'Eastern'), +(48, 'Washington', 'WA', 'Western'), +(49, 'West Virginia', 'WV', 'Southern'), +(50, 'Wisconsin', 'WI', 'Western'), +(51, 'Wyoming', 'WY', 'Western'); + +CREATE TABLE roads.municipality_municipality_type ( + municipality_id string, + municipality_type_id string +); +INSERT INTO roads.municipality_municipality_type VALUES +('New York', 'A'), +('Los Angeles', 'B'), +('Chicago', 'B'), +('Houston', 'A'), +('Phoenix', 'A'), +('Philadelphia', 'B'), +('San Antonio', 'A'), +('San Diego', 'B'), +('Dallas', 'A'), +('San Jose', 'B'); + +CREATE TABLE roads.municipality_type ( + municipality_type_id string, + municipality_type_desc string +); +INSERT INTO roads.municipality_type VALUES +('A', 'Primary'), +('A', 'Secondary'); diff --git a/datajunction-query/docker/spark_load_roads.py b/datajunction-query/docker/spark_load_roads.py new file mode 100644 index 000000000..0e1fa1be8 --- /dev/null +++ b/datajunction-query/docker/spark_load_roads.py @@ -0,0 +1,19 @@ +""" +Load the roads database into a local spark warehouse +""" +from pyspark.sql import SparkSession # pylint: disable=import-error + +print("Starting spark session...") +spark = ( + SparkSession.builder.master("local[*]") + .appName("djqs-load-roads") + .enableHiveSupport() + .getOrCreate() +) +with open("/code/docker/spark.roads.sql", encoding="UTF-8") as sql_file: + queries = sql_file.read() + for query in queries.split(";"): + if query.strip(): + print("Submitting query...") + spark.sql(query) + print("Query completed...") diff --git a/examples/docker/wait-for b/datajunction-query/docker/wait-for similarity index 100% rename from examples/docker/wait-for rename to datajunction-query/docker/wait-for diff --git a/datajunction-query/openapi.json b/datajunction-query/openapi.json new file mode 100644 index 000000000..d86e92266 --- /dev/null +++ b/datajunction-query/openapi.json @@ -0,0 +1,912 @@ +{ + "openapi": "3.0.2", + "info": { + "title": "DJ server", + "description": "A DataJunction metrics repository", + "license": { + "name": "MIT License", + "url": "https://mit-license.org/" + }, + "version": "0.0.post1.dev1+g2c5d4fa" + }, + "paths": { + "/databases/": { + "get": { + "summary": "Read Databases", + "description": "List the available databases.", + "operationId": "read_databases_databases__get", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "title": "Response Read Databases Databases Get", + "type": "array", + "items": { + "$ref": "#/components/schemas/Database" + } + } + } + } + } + } + } + }, + "/queries/": { + "post": { + "summary": "Submit Query", + "description": "Run or schedule a query.\n\nThis endpoint is different from others in that it accepts both JSON and msgpack, and\ncan also return JSON or msgpack, depending on HTTP headers.", + "operationId": "submit_query_queries__post", + "parameters": [ + { + "required": false, + "schema": { + "title": "Accept", + "type": "string" + }, + "name": "accept", + "in": "header" + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "title": "QueryCreate", + "required": [ + "database_id", + "submitted_query" + ], + "type": "object", + "properties": { + "database_id": { + "title": "Database Id", + "type": "integer" + }, + "catalog": { + "title": "Catalog", + "type": "string" + }, + "schema": { + "title": "Schema", + "type": "string" + }, + "submitted_query": { + "title": "Submitted Query", + "type": "string" + } + }, + "description": "Model for submitted queries." + } + }, + "application/msgpack": { + "schema": { + "title": "QueryCreate", + "required": [ + "database_id", + "submitted_query" + ], + "type": "object", + "properties": { + "database_id": { + "title": "Database Id", + "type": "integer" + }, + "catalog": { + "title": "Catalog", + "type": "string" + }, + "schema": { + "title": "Schema", + "type": "string" + }, + "submitted_query": { + "title": "Submitted Query", + "type": "string" + } + }, + "description": "Model for submitted queries." + } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Return results as JSON or msgpack", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/QueryWithResults" + } + }, + "application/msgpack": {} + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/queries/{query_id}/": { + "get": { + "summary": "Read Query", + "description": "Fetch information about a query.\n\nFor paginated queries we move the data from the results backend to the cache for a\nshort period, anticipating additional requests.", + "operationId": "read_query_queries__query_id___get", + "parameters": [ + { + "required": true, + "schema": { + "title": "Query Id", + "type": "string", + "format": "uuid" + }, + "name": "query_id", + "in": "path" + }, + { + "required": false, + "schema": { + "title": "Limit", + "type": "integer", + "default": 0 + }, + "name": "limit", + "in": "query" + }, + { + "required": false, + "schema": { + "title": "Offset", + "type": "integer", + "default": 0 + }, + "name": "offset", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/QueryWithResults" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/metrics/": { + "get": { + "summary": "Read Metrics", + "description": "List all available metrics.", + "operationId": "read_metrics_metrics__get", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "title": "Response Read Metrics Metrics Get", + "type": "array", + "items": { + "$ref": "#/components/schemas/Metric" + } + } + } + } + } + } + } + }, + "/metrics/{node_id}/": { + "get": { + "summary": "Read Metric", + "description": "Return a metric by ID.", + "operationId": "read_metric_metrics__node_id___get", + "parameters": [ + { + "required": true, + "schema": { + "title": "Node Id", + "type": "integer" + }, + "name": "node_id", + "in": "path" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Metric" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/metrics/{node_id}/data/": { + "get": { + "summary": "Read Metrics Data", + "description": "Return data for a metric.", + "operationId": "read_metrics_data_metrics__node_id__data__get", + "parameters": [ + { + "required": true, + "schema": { + "title": "Node Id", + "type": "integer" + }, + "name": "node_id", + "in": "path" + }, + { + "required": false, + "schema": { + "title": "Database Id", + "type": "integer" + }, + "name": "database_id", + "in": "query" + }, + { + "required": false, + "schema": { + "title": "D", + "type": "array", + "items": { + "type": "string" + }, + "default": [] + }, + "name": "d", + "in": "query" + }, + { + "required": false, + "schema": { + "title": "F", + "type": "array", + "items": { + "type": "string" + }, + "default": [] + }, + "name": "f", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/QueryWithResults" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/metrics/{node_id}/sql/": { + "get": { + "summary": "Read Metrics Sql", + "description": "Return SQL for a metric.\n\nA database can be optionally specified. If no database is specified the optimal one\nwill be used.", + "operationId": "read_metrics_sql_metrics__node_id__sql__get", + "parameters": [ + { + "required": true, + "schema": { + "title": "Node Id", + "type": "integer" + }, + "name": "node_id", + "in": "path" + }, + { + "required": false, + "schema": { + "title": "Database Id", + "type": "integer" + }, + "name": "database_id", + "in": "query" + }, + { + "required": false, + "schema": { + "title": "D", + "type": "array", + "items": { + "type": "string" + }, + "default": [] + }, + "name": "d", + "in": "query" + }, + { + "required": false, + "schema": { + "title": "F", + "type": "array", + "items": { + "type": "string" + }, + "default": [] + }, + "name": "f", + "in": "query" + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TranslatedSQL" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + } + } + } + } + }, + "/nodes/": { + "get": { + "summary": "Read Nodes", + "description": "List the available nodes.", + "operationId": "read_nodes_nodes__get", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "title": "Response Read Nodes Nodes Get", + "type": "array", + "items": { + "$ref": "#/components/schemas/NodeMetadata" + } + } + } + } + } + } + } + }, + "/graphql": { + "get": { + "summary": "Handle Http Get", + "operationId": "handle_http_get_graphql_get", + "responses": { + "200": { + "description": "The GraphiQL integrated development environment.", + "content": { + "application/json": { + "schema": {} + } + } + }, + "404": { + "description": "Not found if GraphiQL is not enabled." + } + } + }, + "post": { + "summary": "Handle Http Post", + "operationId": "handle_http_post_graphql_post", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": {} + } + } + } + } + } + } + }, + "components": { + "schemas": { + "ColumnMetadata": { + "title": "ColumnMetadata", + "required": [ + "name", + "type" + ], + "type": "object", + "properties": { + "name": { + "title": "Name", + "type": "string" + }, + "type": { + "$ref": "#/components/schemas/ColumnType" + } + }, + "description": "A simple model for column metadata." + }, + "ColumnType": { + "title": "ColumnType", + "enum": [ + "BYTES", + "STR", + "FLOAT", + "INT", + "DECIMAL", + "BOOL", + "DATETIME", + "DATE", + "TIME", + "TIMEDELTA", + "LIST", + "DICT" + ], + "type": "string", + "description": "\n Types for columns.\n\n These represent the values from the ``python_type`` attribute in SQLAlchemy columns.\n " + }, + "Database": { + "title": "Database", + "required": [ + "name", + "URI" + ], + "type": "object", + "properties": { + "id": { + "title": "Id", + "type": "integer" + }, + "uuid": { + "title": "Uuid", + "type": "string", + "format": "uuid" + }, + "name": { + "title": "Name", + "type": "string" + }, + "description": { + "title": "Description", + "type": "string", + "default": "" + }, + "URI": { + "title": "Uri", + "type": "string" + }, + "extra_params": { + "title": "Extra Params", + "type": "object", + "default": {} + }, + "read_only": { + "title": "Read Only", + "type": "boolean", + "default": true + }, + "async_": { + "title": "Async ", + "type": "boolean", + "default": false + }, + "cost": { + "title": "Cost", + "type": "number", + "default": 1.0 + }, + "created_at": { + "title": "Created At", + "type": "string", + "format": "date-time" + }, + "updated_at": { + "title": "Updated At", + "type": "string", + "format": "date-time" + } + }, + "description": "A database.\n\nA simple example:\n\n name: druid\n description: An Apache Druid database\n URI: druid://localhost:8082/druid/v2/sql/\n read-only: true\n async_: false\n cost: 1.0" + }, + "HTTPValidationError": { + "title": "HTTPValidationError", + "type": "object", + "properties": { + "detail": { + "title": "Detail", + "type": "array", + "items": { + "$ref": "#/components/schemas/ValidationError" + } + } + } + }, + "Metric": { + "title": "Metric", + "required": [ + "id", + "name", + "created_at", + "updated_at", + "query", + "dimensions" + ], + "type": "object", + "properties": { + "id": { + "title": "Id", + "type": "integer" + }, + "name": { + "title": "Name", + "type": "string" + }, + "description": { + "title": "Description", + "type": "string", + "default": "" + }, + "created_at": { + "title": "Created At", + "type": "string", + "format": "date-time" + }, + "updated_at": { + "title": "Updated At", + "type": "string", + "format": "date-time" + }, + "query": { + "title": "Query", + "type": "string" + }, + "dimensions": { + "title": "Dimensions", + "type": "array", + "items": { + "type": "string" + } + } + }, + "description": "Class for a metric." + }, + "NodeMetadata": { + "title": "NodeMetadata", + "required": [ + "id", + "name", + "created_at", + "updated_at", + "type", + "columns" + ], + "type": "object", + "properties": { + "id": { + "title": "Id", + "type": "integer" + }, + "name": { + "title": "Name", + "type": "string" + }, + "description": { + "title": "Description", + "type": "string", + "default": "" + }, + "created_at": { + "title": "Created At", + "type": "string", + "format": "date-time" + }, + "updated_at": { + "title": "Updated At", + "type": "string", + "format": "date-time" + }, + "type": { + "$ref": "#/components/schemas/NodeType" + }, + "query": { + "title": "Query", + "type": "string" + }, + "columns": { + "title": "Columns", + "type": "array", + "items": { + "$ref": "#/components/schemas/SimpleColumn" + } + } + }, + "description": "A node with information about columns and if it is a metric." + }, + "NodeType": { + "title": "NodeType", + "enum": [ + "source", + "transform", + "metric", + "dimension" + ], + "type": "string", + "description": "\n Node type.\n\n A node can have 4 types, currently:\n\n 1. SOURCE nodes are root nodes in the DAG, and point to tables or views in a DB.\n 2. TRANSFORM nodes are SQL transformations, reading from SOURCE/TRANSFORM nodes.\n 3. METRIC nodes are leaves in the DAG, and have a single aggregation query.\n 4. DIMENSION nodes are special SOURCE nodes that can be auto-joined with METRICS.\n " + }, + "QueryResults": { + "title": "QueryResults", + "type": "array", + "items": { + "$ref": "#/components/schemas/StatementResults" + }, + "description": "Results for a given query." + }, + "QueryState": { + "title": "QueryState", + "enum": [ + "UNKNOWN", + "ACCEPTED", + "SCHEDULED", + "RUNNING", + "FINISHED", + "CANCELED", + "FAILED" + ], + "type": "string", + "description": "\n Different states of a query.\n " + }, + "QueryWithResults": { + "title": "QueryWithResults", + "required": [ + "database_id", + "id", + "submitted_query", + "results", + "errors" + ], + "type": "object", + "properties": { + "database_id": { + "title": "Database Id", + "type": "integer" + }, + "catalog": { + "title": "Catalog", + "type": "string" + }, + "schema": { + "title": "Schema", + "type": "string" + }, + "id": { + "title": "Id", + "type": "string", + "format": "uuid" + }, + "submitted_query": { + "title": "Submitted Query", + "type": "string" + }, + "executed_query": { + "title": "Executed Query", + "type": "string" + }, + "scheduled": { + "title": "Scheduled", + "type": "string", + "format": "date-time" + }, + "started": { + "title": "Started", + "type": "string", + "format": "date-time" + }, + "finished": { + "title": "Finished", + "type": "string", + "format": "date-time" + }, + "state": { + "allOf": [ + { + "$ref": "#/components/schemas/QueryState" + } + ], + "default": "UNKNOWN" + }, + "progress": { + "title": "Progress", + "type": "number", + "default": 0.0 + }, + "results": { + "$ref": "#/components/schemas/QueryResults" + }, + "next": { + "title": "Next", + "maxLength": 65536, + "minLength": 1, + "type": "string", + "format": "uri" + }, + "previous": { + "title": "Previous", + "maxLength": 65536, + "minLength": 1, + "type": "string", + "format": "uri" + }, + "errors": { + "title": "Errors", + "type": "array", + "items": { + "type": "string" + } + } + }, + "description": "Model for query with results." + }, + "SimpleColumn": { + "title": "SimpleColumn", + "required": [ + "name", + "type" + ], + "type": "object", + "properties": { + "name": { + "title": "Name", + "type": "string" + }, + "type": { + "$ref": "#/components/schemas/ColumnType" + } + }, + "description": "A simplified column schema, without ID or dimensions." + }, + "StatementResults": { + "title": "StatementResults", + "required": [ + "sql", + "columns", + "rows" + ], + "type": "object", + "properties": { + "sql": { + "title": "Sql", + "type": "string" + }, + "columns": { + "title": "Columns", + "type": "array", + "items": { + "$ref": "#/components/schemas/ColumnMetadata" + } + }, + "rows": { + "title": "Rows", + "type": "array", + "items": { + "type": "array", + "items": {} + } + }, + "row_count": { + "title": "Row Count", + "type": "integer", + "default": 0 + } + }, + "description": "Results for a given statement.\n\nThis contains the SQL, column names and types, and rows" + }, + "TranslatedSQL": { + "title": "TranslatedSQL", + "required": [ + "database_id", + "sql" + ], + "type": "object", + "properties": { + "database_id": { + "title": "Database Id", + "type": "integer" + }, + "sql": { + "title": "Sql", + "type": "string" + } + }, + "description": "Class for SQL generated from a given metric." + }, + "ValidationError": { + "title": "ValidationError", + "required": [ + "loc", + "msg", + "type" + ], + "type": "object", + "properties": { + "loc": { + "title": "Location", + "type": "array", + "items": { + "type": "string" + } + }, + "msg": { + "title": "Message", + "type": "string" + }, + "type": { + "title": "Error Type", + "type": "string" + } + } + } + } + } +} \ No newline at end of file diff --git a/datajunction-query/pdm.lock b/datajunction-query/pdm.lock new file mode 100644 index 000000000..588418c6c --- /dev/null +++ b/datajunction-query/pdm.lock @@ -0,0 +1,1929 @@ +# This file is @generated by PDM. +# It is not intended for manual editing. + +[metadata] +groups = 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"roberto@dealmeida.net"}, +] +dependencies = [ + "importlib-metadata", + "accept-types==0.4.1", + "cachelib>=0.4.0", + "duckdb==0.8.1", + "duckdb-engine", + "fastapi>=0.79.0", + "msgpack>=1.0.3", + "python-dotenv==0.19.2", + "requests<=2.29.0,>=2.28.2", + "rich>=10.16.2", + "toml>=0.10.2", + "snowflake-connector-python>=3.3.1", + "pyyaml>=6.0.1", + "trino>=0.324.0", + "psycopg[async,pool]>=3.2.1", + "sqlalchemy>=2.0.34", + "pytest-asyncio>=0.24.0", + "pytest-integration>=0.2.3", + "tenacity>=9.0.0", +] +readme = "README.rst" +license = {text = "MIT"} +classifiers = [ + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", +] + +[tool.hatch.build.targets.wheel] +packages = ["djqs"] + +[tool.pdm] +[tool.pdm.build] +includes = ["dj"] + +[tool.pdm.dev-dependencies] +test = [ + "alembic>=1.7.7", + "codespell>=2.1.0", + "freezegun>=1.1.0", + "pre-commit>=3.2.2", + "pyfakefs>=4.5.1", + "pylint>=2.15.3", + "pytest-cov>=2.12.1", + "pytest-mock>=3.6.1", + "pytest>=6.2.5", + "requests-mock>=1.9.3", + "setuptools>=49.6.0", + "pip-tools>=6.4.0", + "pydruid>=0.6.4", + "typing-extensions>=4.3.0", + "httpx>=0.24.1", + "psycopg[async,pool]>=3.2.1", + "testcontainers[postgres]>=4.8.1", + "types-toml", +] + +[tool.pdm.scripts] +pytest = { cmd = "pytest", env = { "CONFIGURATION_FILE" = "./tests/config.djqs.yml", "INDEX" = "postgresql://dj:dj@localhost:4321/dj", "DEFAULT_ENGINE" = "duckdb_inmemory", "DEFAULT_ENGINE_VERSION" = "0.7.1" } } + +[project.optional-dependencies] +uvicorn = [ + "uvicorn[standard]>=0.21.1", +] + +[tool.hatch.version] +path = "djqs/__about__.py" + +[project.urls] +repository = "https://github.com/DataJunction/dj" + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.coverage.run] +source = ['djqs/'] +omit = [ + "djqs/config.py", + "djqs/exceptions.py" +] + +[tool.ruff.lint] +ignore = ["F811"] diff --git a/datajunction-query/scripts/generate-openapi.py b/datajunction-query/scripts/generate-openapi.py new file mode 100755 index 000000000..ef420e609 --- /dev/null +++ b/datajunction-query/scripts/generate-openapi.py @@ -0,0 +1,28 @@ +#!/usr/bin/env python3 +# pylint: skip-file + +import argparse +import json + +from djqs.api.main import app + + +def save_openapi_spec(f: str): + spec = app.openapi() + with open(f, "w") as outfile: + outfile.write(json.dumps(spec, indent=4)) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Generate a file containing the OpenAPI spec for a DJ server", + ) + parser.add_argument( + "-o", + "--output-file", + dest="filename", + required=True, + metavar="FILE", + ) + args = vars(parser.parse_args()) + save_openapi_spec(f=args["filename"]) diff --git a/datajunction-query/setup.cfg b/datajunction-query/setup.cfg new file mode 100644 index 000000000..4e278c7e1 --- /dev/null +++ b/datajunction-query/setup.cfg @@ -0,0 +1,19 @@ +# This file is used to configure your project. +# Read more about the various options under: +# https://setuptools.pypa.io/en/latest/userguide/declarative_config.html +# https://setuptools.pypa.io/en/latest/references/keywords.html + +[tool:pytest] +# Specify command line options as you would do when invoking pytest directly. +# e.g. --cov-report html (or xml) for html/xml output or --junitxml junit.xml +# in order to write a coverage file that can be read by Jenkins. +# CAUTION: --cov flags may prohibit setting breakpoints while debugging. +# Comment those flags to avoid this pytest issue. +addopts = + --cov djqs --cov-report term-missing + --verbose +norecursedirs = + dist + build + .tox +testpaths = tests diff --git a/datajunction-query/tests/__init__.py b/datajunction-query/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-query/tests/api/__init__.py b/datajunction-query/tests/api/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-query/tests/api/queries_test.py b/datajunction-query/tests/api/queries_test.py new file mode 100644 index 000000000..f1d2514e9 --- /dev/null +++ b/datajunction-query/tests/api/queries_test.py @@ -0,0 +1,652 @@ +""" +Tests for the queries API. +""" + +import datetime +import json +from dataclasses import asdict +from http import HTTPStatus +from unittest import mock + +import msgpack +from fastapi.testclient import TestClient +from freezegun import freeze_time +from pytest_mock import MockerFixture + +from djqs.config import Settings +from djqs.engine import process_query +from djqs.models.query import ( + Query, + QueryCreate, + QueryState, + StatementResults, + decode_results, + encode_results, +) +from djqs.utils import get_settings + + +def test_submit_query_default_engine(client: TestClient) -> None: + """ + Test ``POST /queries/``. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + assert payload == json.dumps( + { + "catalog_name": "warehouse_inmemory", + "engine_name": None, + "engine_version": None, + "submitted_query": "SELECT 1 AS col", + "async_": False, + }, + ) + + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + assert response.status_code == 200 + assert data["catalog_name"] == "warehouse_inmemory" + assert data["engine_name"] == "duckdb_inmemory" + assert data["engine_version"] == "0.7.1" + assert data["submitted_query"] == "SELECT 1 AS col" + assert data["executed_query"] == "SELECT 1 AS col" + assert data["scheduled"] == "2021-01-01 00:00:00+00:00" + assert data["started"] == "2021-01-01 00:00:00+00:00" + assert data["finished"] == "2021-01-01 00:00:00+00:00" + assert data["state"] == QueryState.FINISHED.value + assert data["progress"] == 1.0 + assert len(data["results"]) == 1 + assert data["results"][0]["sql"] == "SELECT 1 AS col" + assert data["results"][0]["rows"] == [[1]] + assert data["errors"] == [] + + +def test_submit_query(client: TestClient) -> None: + """ + Test ``POST /queries/``. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + assert payload == json.dumps( + { + "catalog_name": "warehouse_inmemory", + "engine_name": "duckdb_inmemory", + "engine_version": "0.7.1", + "submitted_query": "SELECT 1 AS col", + "async_": False, + }, + ) + + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + assert response.status_code == 200 + assert data["catalog_name"] == "warehouse_inmemory" + assert data["engine_name"] == "duckdb_inmemory" + assert data["engine_version"] == "0.7.1" + assert data["submitted_query"] == "SELECT 1 AS col" + assert data["executed_query"] == "SELECT 1 AS col" + assert data["scheduled"] == "2021-01-01 00:00:00+00:00" + assert data["started"] == "2021-01-01 00:00:00+00:00" + assert data["finished"] == "2021-01-01 00:00:00+00:00" + assert data["state"] == QueryState.FINISHED.value + assert data["progress"] == 1.0 + assert len(data["results"]) == 1 + assert data["results"][0]["sql"] == "SELECT 1 AS col" + assert data["results"][0]["rows"] == [[1]] + assert data["errors"] == [] + + +def test_submit_query_generic_sqlalchemy(client: TestClient) -> None: + """ + Test ``POST /queries/``. + """ + query_create = QueryCreate( + catalog_name="sqlite_warehouse", + engine_name="sqlite_inmemory", + engine_version="1.0", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + assert payload == json.dumps( + { + "catalog_name": "sqlite_warehouse", + "engine_name": "sqlite_inmemory", + "engine_version": "1.0", + "submitted_query": "SELECT 1 AS col", + "async_": False, + }, + ) + + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + assert response.status_code == 200 + assert data["catalog_name"] == "sqlite_warehouse" + assert data["engine_name"] == "sqlite_inmemory" + assert data["engine_version"] == "1.0" + assert data["submitted_query"] == "SELECT 1 AS col" + assert data["executed_query"] == "SELECT 1 AS col" + assert data["scheduled"] == "2021-01-01 00:00:00+00:00" + assert data["started"] == "2021-01-01 00:00:00+00:00" + assert data["finished"] == "2021-01-01 00:00:00+00:00" + assert data["state"] == QueryState.FINISHED.value + assert data["progress"] == 1.0 + assert len(data["results"]) == 1 + assert data["results"][0]["sql"] == "SELECT 1 AS col" + assert data["results"][0]["rows"] == [[1]] + assert data["errors"] == [] + + +def test_submit_query_with_sqlalchemy_uri_header( + client: TestClient, +) -> None: + """ + Test ``POST /queries/`` with the SQLALCHEMY_URI defined in the header. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + assert payload == json.dumps( + { + "catalog_name": "warehouse_inmemory", + "engine_name": "duckdb_inmemory", + "engine_version": "0.7.1", + "submitted_query": "SELECT 1 AS col", + "async_": False, + }, + ) + + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={ + "Content-Type": "application/json", + "Accept": "application/json", + "SQLALCHEMY_URI": "trino://example@foo.bar/catalog/schema", + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data["catalog_name"] == "warehouse_inmemory" + assert data["engine_name"] == "duckdb_inmemory" + assert data["engine_version"] == "0.7.1" + assert data["submitted_query"] == "SELECT 1 AS col" + assert data["executed_query"] == "SELECT 1 AS col" + assert data["scheduled"] == "2021-01-01 00:00:00+00:00" + assert data["started"] == "2021-01-01 00:00:00+00:00" + assert data["finished"] == "2021-01-01 00:00:00+00:00" + assert data["state"] == QueryState.FINISHED.value + assert data["progress"] == 1.0 + assert len(data["results"]) == 1 + assert data["results"][0]["sql"] == "SELECT 1 AS col" + assert data["results"][0]["rows"] == [[1]] + assert data["errors"] == [] + + +def test_submit_query_msgpack(client: TestClient) -> None: + """ + Test ``POST /queries/`` using msgpack. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + data = msgpack.packb(payload, default=encode_results) + + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=data, + headers={ + "Content-Type": "application/msgpack", + "Accept": "application/msgpack; q=1.0, application/json; q=0.5", + }, + ) + data = msgpack.unpackb(response.content, ext_hook=decode_results) + + assert response.headers.get("content-type") == "application/msgpack" + assert response.status_code == 200 + assert data["catalog_name"] == "warehouse_inmemory" + assert data["engine_name"] == "duckdb_inmemory" + assert data["engine_version"] == "0.7.1" + assert data["submitted_query"] == "SELECT 1 AS col" + assert data["executed_query"] == "SELECT 1 AS col" + assert data["scheduled"] == datetime.datetime( + 2021, + 1, + 1, + tzinfo=datetime.timezone.utc, + ) + assert data["started"] == datetime.datetime( + 2021, + 1, + 1, + tzinfo=datetime.timezone.utc, + ) + assert data["finished"] == datetime.datetime( + 2021, + 1, + 1, + tzinfo=datetime.timezone.utc, + ) + assert data["state"] == QueryState.FINISHED.value + assert data["progress"] == 1.0 + assert len(data["results"]) == 1 + assert data["results"][0]["sql"] == "SELECT 1 AS col" + assert data["results"][0]["rows"] == [[1]] + assert data["errors"] == [] + + +def test_submit_query_errors( + client: TestClient, +) -> None: + """ + Test ``POST /queries/`` with missing/invalid content type. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + + response = client.post( + "/queries/", + data=payload, + headers={"Accept": "application/json"}, + ) + assert response.status_code == 400 + assert response.json() == {"detail": "Content type must be specified"} + + response = client.post( + "/queries/", + data=payload, + headers={ + "Content-Type": "application/protobuf", + "Accept": "application/json", + }, + ) + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + assert response.json() == { + "detail": "Content type not accepted: application/protobuf", + } + + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/protobuf"}, + ) + assert response.status_code == 406 + assert response.json() == { + "detail": "Client MUST accept: application/json, application/msgpack", + } + + +def test_submit_query_multiple_statements( + client: TestClient, +) -> None: + """ + Test ``POST /queries/``. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col; SELECT 2 AS another_col", + ) + + payload = json.dumps(asdict(query_create)) + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + assert response.status_code == 200 + assert data["catalog_name"] == "warehouse_inmemory" + assert data["engine_name"] == "duckdb_inmemory" + assert data["engine_version"] == "0.7.1" + assert data["submitted_query"] == "SELECT 1 AS col; SELECT 2 AS another_col" + assert data["executed_query"] == "SELECT 1 AS col; SELECT 2 AS another_col" + assert data["scheduled"] == "2021-01-01 00:00:00+00:00" + assert data["started"] == "2021-01-01 00:00:00+00:00" + assert data["finished"] == "2021-01-01 00:00:00+00:00" + assert data["state"] == QueryState.FINISHED.value + assert data["progress"] == 1.0 + assert len(data["results"]) == 1 + assert data["results"][0]["sql"] == "SELECT 1 AS col; SELECT 2 AS another_col" + assert data["results"][0]["rows"] == [[2]] + assert data["errors"] == [] + + +def test_submit_query_results_backend( + client: TestClient, +) -> None: + """ + Test that ``POST /queries/`` stores results. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + assert data == { + "catalog_name": "warehouse_inmemory", + "engine_name": "duckdb_inmemory", + "engine_version": "0.7.1", + "id": mock.ANY, + "submitted_query": "SELECT 1 AS col", + "executed_query": "SELECT 1 AS col", + "scheduled": "2021-01-01 00:00:00+00:00", + "started": "2021-01-01 00:00:00+00:00", + "finished": "2021-01-01 00:00:00+00:00", + "state": QueryState.FINISHED.value, + "progress": 1.0, + "results": [ + { + "sql": "SELECT 1 AS col", + "columns": mock.ANY, + "rows": [[1]], + "row_count": 1, + }, + ], + "next": None, + "previous": None, + "errors": [], + "async_": False, + } + settings = get_settings() + cached = settings.results_backend.get(data["id"]) + assert json.loads(cached) == [ + { + "sql": "SELECT 1 AS col", + "columns": mock.ANY, + "rows": [[1]], + "row_count": 1, + }, + ] + + +def test_submit_query_async( + mocker: MockerFixture, + client: TestClient, +) -> None: + """ + Test ``POST /queries/`` on an async database. + """ + add_task = mocker.patch("fastapi.BackgroundTasks.add_task") + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col", + async_=True, + ) + payload = json.dumps(asdict(query_create)) + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + assert response.status_code == 201 + assert data["catalog_name"] == "warehouse_inmemory" + assert data["engine_name"] == "duckdb_inmemory" + assert data["engine_version"] == "0.7.1" + assert data["submitted_query"] == "SELECT 1 AS col" + assert data["executed_query"] is None + assert data["scheduled"] is None + assert data["started"] is None + assert data["finished"] is None + assert data["state"] == QueryState.SCHEDULED.value + assert data["progress"] == 0.0 + assert data["results"] == [] + assert data["errors"] == [] + + # check that ``BackgroundTasks.add_task`` was called + add_task.assert_called() + arguments = add_task.mock_calls[0].args + assert arguments[0] == process_query # pylint: disable=comparison-with-callable + assert isinstance(arguments[1], Settings) + assert isinstance(arguments[3], Query) + + +def test_submit_query_error(client: TestClient) -> None: + """ + Test submitting invalid query to ``POST /queries/``. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT FROM", + async_=False, + ) + + payload = json.dumps(asdict(query_create)) + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + assert response.status_code == 200 + assert data["catalog_name"] == "warehouse_inmemory" + assert data["engine_name"] == "duckdb_inmemory" + assert data["engine_version"] == "0.7.1" + assert data["submitted_query"] == "SELECT FROM" + assert data["executed_query"] == "SELECT FROM" + assert data["state"] == QueryState.FAILED.value + assert data["progress"] == 0.0 + assert data["results"] == [] + assert "Parser Error: syntax error at end of input" in data["errors"][0] + + +def test_read_query(client: TestClient) -> None: + """ + Test ``GET /queries/{query_id}``. + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + assert payload == json.dumps( + { + "catalog_name": "warehouse_inmemory", + "engine_name": "duckdb_inmemory", + "engine_version": "0.7.1", + "submitted_query": "SELECT 1 AS col", + "async_": False, + }, + ) + + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + results = [ + StatementResults( + sql="SELECT 2 as foo", + columns=[{"name": "foo", "type": "STR"}], # type: ignore + rows=[[2]], # type: ignore + ), + ] + settings = get_settings() + settings.results_backend.set( + str(data["id"]), + json.dumps([asdict(result) for result in results]), + ) + response = client.get(f"/queries/{data['id']}") + data = response.json() + + assert response.status_code == 200 + + # Make sure the results are pulling from the cache, evidenced by the fact that it pulled + # the data that was manually set in the cache for this query ID + assert len(data["results"]) == 1 + assert data["results"][0]["sql"] == "SELECT 2 as foo" + assert data["results"][0]["columns"] == [{"name": "foo", "type": "STR"}] + assert data["results"][0]["rows"] == [[2]] + assert data["errors"] == [] + + response = client.get("/queries/27289db6-a75c-47fc-b451-da59a743a168") + assert response.status_code == 404 + + response = client.get("/queries/123") + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + + +def test_submit_duckdb_query(client: TestClient) -> None: + """ + Test submitting a duckdb query + """ + query_create = QueryCreate( + catalog_name="warehouse_inmemory", + engine_name="duckdb_inmemory", + engine_version="0.7.1", + submitted_query="SELECT 1 AS col", + ) + payload = json.dumps(asdict(query_create)) + assert payload == json.dumps( + { + "catalog_name": "warehouse_inmemory", + "engine_name": "duckdb_inmemory", + "engine_version": "0.7.1", + "submitted_query": "SELECT 1 AS col", + "async_": False, + }, + ) + + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + assert response.status_code == 200 + assert data["catalog_name"] == "warehouse_inmemory" + assert data["engine_name"] == "duckdb_inmemory" + assert data["engine_version"] == "0.7.1" + assert data["submitted_query"] == "SELECT 1 AS col" + assert data["executed_query"] == "SELECT 1 AS col" + assert data["scheduled"] == "2021-01-01 00:00:00+00:00" + assert data["started"] == "2021-01-01 00:00:00+00:00" + assert data["finished"] == "2021-01-01 00:00:00+00:00" + assert data["state"] == QueryState.FINISHED.value + assert data["progress"] == 1.0 + assert len(data["results"]) == 1 + assert data["results"][0]["sql"] == "SELECT 1 AS col" + assert data["results"][0]["rows"] == [[1]] + assert data["errors"] == [] + + +@mock.patch("djqs.engine.snowflake.connector") +def test_submit_snowflake_query( + mock_snowflake_connect, + client: TestClient, +) -> None: + """ + Test submitting a Snowflake query + """ + mock_exec = mock.MagicMock() + mock_exec.fetchall.return_value = [[1, "a"]] + mock_cur = mock.MagicMock() + mock_cur.execute.return_value = mock_exec + mock_conn = mock.MagicMock() + mock_conn.cursor.return_value = mock_cur + mock_snowflake_connect.connect.return_value = mock_conn + + query_create = QueryCreate( + catalog_name="snowflake_warehouse", + engine_name="snowflake_test", + engine_version="7.37", + submitted_query="SELECT 1 AS int_col, 'a' as str_col", + ) + payload = json.dumps(asdict(query_create)) + assert payload == json.dumps( + { + "catalog_name": "snowflake_warehouse", + "engine_name": "snowflake_test", + "engine_version": "7.37", + "submitted_query": "SELECT 1 AS int_col, 'a' as str_col", + "async_": False, + }, + ) + + with freeze_time("2021-01-01T00:00:00Z"): + response = client.post( + "/queries/", + data=payload, + headers={"Content-Type": "application/json", "Accept": "application/json"}, + ) + data = response.json() + + assert response.status_code == 200 + assert data["catalog_name"] == "snowflake_warehouse" + assert data["engine_name"] == "snowflake_test" + assert data["engine_version"] == "7.37" + assert data["submitted_query"] == "SELECT 1 AS int_col, 'a' as str_col" + assert data["executed_query"] == "SELECT 1 AS int_col, 'a' as str_col" + assert data["scheduled"] == "2021-01-01 00:00:00+00:00" + assert data["started"] == "2021-01-01 00:00:00+00:00" + assert data["finished"] == "2021-01-01 00:00:00+00:00" + assert data["state"] == QueryState.FINISHED.value + assert data["progress"] == 1.0 + assert data["errors"] == [] diff --git a/datajunction-query/tests/api/table_test.py b/datajunction-query/tests/api/table_test.py new file mode 100644 index 000000000..3cce0179c --- /dev/null +++ b/datajunction-query/tests/api/table_test.py @@ -0,0 +1,86 @@ +""" +Tests for the catalog API. +""" + +from fastapi.testclient import TestClient + + +def test_table_columns(client: TestClient, mocker): + """ + Test getting table columns + """ + columns = [ + {"name": "col_a", "type": "STR"}, + {"name": "col_b", "type": "INT"}, + {"name": "col_c", "type": "MAP"}, + {"name": "col_d", "type": "STR"}, + {"name": "col_e", "type": "DECIMAL"}, + ] + mocker.patch("djqs.api.tables.get_columns", return_value=columns) + response = client.get( + "/table/foo.bar.baz/columns/?engine=duckdb_inmemory&engine_version=0.7.1", + ) + assert response.json() == { + "name": "foo.bar.baz", + "columns": [ + {"name": "col_a", "type": "STR"}, + {"name": "col_b", "type": "INT"}, + {"name": "col_c", "type": "MAP"}, + {"name": "col_d", "type": "STR"}, + {"name": "col_e", "type": "DECIMAL"}, + ], + } + + +def test_table_columns_w_default_engine(client: TestClient, mocker): + """ + Test getting table columns using the default engine + """ + columns = [ + {"name": "col_a", "type": "STR"}, + {"name": "col_b", "type": "INT"}, + {"name": "col_c", "type": "MAP"}, + {"name": "col_d", "type": "STR"}, + {"name": "col_e", "type": "DECIMAL"}, + ] + mocker.patch("djqs.api.tables.get_columns", return_value=columns) + response = client.get( + "/table/foo.bar.baz/columns/", + ) + assert response.json() == { + "name": "foo.bar.baz", + "columns": [ + {"name": "col_a", "type": "STR"}, + {"name": "col_b", "type": "INT"}, + {"name": "col_c", "type": "MAP"}, + {"name": "col_d", "type": "STR"}, + {"name": "col_e", "type": "DECIMAL"}, + ], + } + + +def test_raise_on_invalid_table_name(client: TestClient): + """ + Test raising on invalid table names + """ + response = client.get("/table/foo.bar.baz.qux/columns/") + assert response.json() == { + "message": ( + "The provided table value `foo.bar.baz.qux` is invalid. " + "A valid value for `table` must be in the format " + "`..
`" + ), + "errors": [], + "warnings": [], + } + + response = client.get("/table/foo/columns/") + assert response.json() == { + "message": ( + "The provided table value `foo` is invalid. " + "A valid value for `table` must be in the format " + "`..
`" + ), + "errors": [], + "warnings": [], + } diff --git a/datajunction-query/tests/config.djqs.yml b/datajunction-query/tests/config.djqs.yml new file mode 100644 index 000000000..4e41d764a --- /dev/null +++ b/datajunction-query/tests/config.djqs.yml @@ -0,0 +1,32 @@ +engines: + - name: duckdb + version: 0.7.1 + type: duckdb + uri: duckdb:////code/docker/default.duckdb + extra_params: + location: /code/docker/default.duckdb + - name: duckdb_inmemory + version: 0.7.1 + type: duckdb + uri: "duckdb:///:memory:" + - name: snowflake_test + version: 7.37 + type: snowflake + uri: "snowflake:///" + - name: sqlite_inmemory + version: 1.0 + type: sqlalchemy + uri: "sqlite:///" +catalogs: + - name: warehouse + engines: + - duckdb + - name: warehouse_inmemory + engines: + - duckdb_inmemory + - name: snowflake_warehouse + engines: + - snowflake_test + - name: sqlite_warehouse + engines: + - sqlite_inmemory diff --git a/datajunction-query/tests/conftest.py b/datajunction-query/tests/conftest.py new file mode 100644 index 000000000..3f999ef7c --- /dev/null +++ b/datajunction-query/tests/conftest.py @@ -0,0 +1,86 @@ +""" +Fixtures for testing. +""" + +# pylint: disable=redefined-outer-name, invalid-name +import logging +from typing import Iterator + +import psycopg +import pytest +from fastapi.testclient import TestClient +from testcontainers.core.waiting_utils import wait_for_logs +from testcontainers.postgres import PostgresContainer + +from djqs.api.main import app + +_logger = logging.getLogger(__name__) + + +@pytest.fixture(scope="session") +def postgres_container() -> PostgresContainer: + """ + Setup postgres container + """ + localhost_port = 4321 # The test container will be bound to localhost port 4321 + postgres = PostgresContainer( + image="postgres:latest", + username="dj", + password="dj", + dbname="dj", + port=5432, + driver="psycopg", + ).with_bind_ports(5432, localhost_port) + with postgres: + wait_for_logs( + postgres, + r"UTC \[1\] LOG: database system is ready to accept connections", + 10, + ) + + # Manually build the connection string + username = postgres.username + password = postgres.password + host = postgres.get_container_host_ip() + port = postgres.get_exposed_port(postgres.port) + dbname = postgres.dbname + + connection_url = f"postgresql://{username}:{password}@{host}:{port}/{dbname}" + + with psycopg.connect( # pylint: disable=not-context-manager + connection_url, + ) as conn: + with conn.cursor() as cur: + _logger.info("Creating query table") + cur.execute( + """ + CREATE TABLE query ( + id UUID PRIMARY KEY, + catalog_name VARCHAR NOT NULL, + engine_name VARCHAR NOT NULL, + engine_version VARCHAR NOT NULL, + submitted_query VARCHAR NOT NULL, + async_ BOOLEAN NOT NULL, + executed_query VARCHAR, + scheduled TIMESTAMP, + started TIMESTAMP, + finished TIMESTAMP, + state VARCHAR NOT NULL, + progress FLOAT NOT NULL + ) + """, + ) + conn.commit() + _logger.info("Creating table created") + yield postgres + + +@pytest.fixture(scope="session") +def client( # pylint: disable=unused-argument + postgres_container, +) -> Iterator[TestClient]: + """ + Create a client for testing APIs. + """ + with TestClient(app) as client: + yield client diff --git a/datajunction-query/tests/exceptions_test.py b/datajunction-query/tests/exceptions_test.py new file mode 100644 index 000000000..097d97c4e --- /dev/null +++ b/datajunction-query/tests/exceptions_test.py @@ -0,0 +1,44 @@ +""" +Tests errors. +""" + +from http import HTTPStatus + +from djqs.exceptions import DJError, DJException, ErrorCode + + +def test_dj_exception() -> None: + """ + Test the base ``DJException``. + """ + exc = DJException() + assert exc.dbapi_exception == "Error" + assert exc.http_status_code == 500 + + exc = DJException(dbapi_exception="InternalError") + assert exc.dbapi_exception == "InternalError" + assert exc.http_status_code == 500 + + exc = DJException( + dbapi_exception="ProgrammingError", + http_status_code=HTTPStatus.BAD_REQUEST, + ) + assert exc.dbapi_exception == "ProgrammingError" + assert exc.http_status_code == HTTPStatus.BAD_REQUEST + + exc = DJException("Message") + assert str(exc) == "Message" + exc = DJException( + "Message", + errors=[ + DJError(message="Error 1", code=ErrorCode.UNKWNON_ERROR), + DJError(message="Error 2", code=ErrorCode.UNKWNON_ERROR), + ], + ) + assert ( + str(exc) + == """Message +The following errors happened: +- Error 1 (error code: 0) +- Error 2 (error code: 0)""" + ) diff --git a/datajunction-query/tests/models/test_engine.py b/datajunction-query/tests/models/test_engine.py new file mode 100644 index 000000000..0b477191a --- /dev/null +++ b/datajunction-query/tests/models/test_engine.py @@ -0,0 +1,37 @@ +from datetime import date, datetime + +from djqs.engine import serialize_for_json + + +def test_serialize_date(): + d = date(2023, 4, 5) + assert serialize_for_json(d) == "2023-04-05" + + +def test_serialize_datetime(): + dt = datetime(2023, 4, 5, 14, 30, 15) + assert serialize_for_json(dt) == "2023-04-05T14:30:15" + + +def test_serialize_list(): + data = [date(2023, 1, 1), "string", 123] + expected = ["2023-01-01", "string", 123] + assert serialize_for_json(data) == expected + + +def test_serialize_dict(): + data = { + "some_date": date(2022, 12, 31), + "nested": {"datetime": datetime(2022, 12, 31, 23, 59), "value": 42}, + } + expected = { + "some_date": "2022-12-31", + "nested": {"datetime": "2022-12-31T23:59:00", "value": 42}, + } + assert serialize_for_json(data) == expected + + +def test_serialize_other_types(): + assert serialize_for_json(123) == 123 + assert serialize_for_json("abc") == "abc" + assert serialize_for_json(None) is None diff --git a/datajunction-query/tests/resources/contractors.parquet b/datajunction-query/tests/resources/contractors.parquet new file mode 100644 index 000000000..436668e6c Binary files /dev/null and b/datajunction-query/tests/resources/contractors.parquet differ diff --git a/datajunction-query/tests/resources/dispatchers.parquet 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a/datajunction-query/tests/utils_test.py b/datajunction-query/tests/utils_test.py new file mode 100644 index 000000000..329cfe3cd --- /dev/null +++ b/datajunction-query/tests/utils_test.py @@ -0,0 +1,36 @@ +""" +Tests for ``djqs.utils``. +""" + +import logging + +import pytest +from pytest_mock import MockerFixture + +from djqs.utils import get_settings, setup_logging + + +def test_setup_logging() -> None: + """ + Test ``setup_logging``. + """ + setup_logging("debug") + assert logging.root.level == logging.DEBUG + + with pytest.raises(ValueError) as excinfo: + setup_logging("invalid") + assert str(excinfo.value) == "Invalid log level: invalid" + + +def test_get_settings(mocker: MockerFixture) -> None: + """ + Test ``get_settings``. + """ + mocker.patch("djqs.utils.load_dotenv") + Settings = mocker.patch( # pylint: disable=invalid-name, redefined-outer-name + "djqs.utils.Settings", + ) + + # should be already cached, since it's called by the Celery app + get_settings() + Settings.assert_not_called() diff --git a/datajunction-query/tox.ini b/datajunction-query/tox.ini new file mode 100644 index 000000000..f6c338a21 --- /dev/null +++ b/datajunction-query/tox.ini @@ -0,0 +1,14 @@ +[tox] +envlist = py3 + +[testenv] +pip_pre = true +deps = + -rrequirements/test.txt + pytest + testfixtures + coverage +commands = + pip install -e .[testing] + coverage run --source djqs --parallel-mode -m pytest {posargs} --without-integration --without-slow-integration + coverage html --fail-under 100 -d test-reports/{envname}/coverage-html diff --git a/datajunction-reflection/.coveragerc b/datajunction-reflection/.coveragerc new file mode 100644 index 000000000..d5c993481 --- /dev/null +++ b/datajunction-reflection/.coveragerc @@ -0,0 +1,31 @@ +# .coveragerc to control coverage.py +[run] +branch = True +source = djrs +# omit = bad_file.py + +[paths] +source = + djrs/ + */site-packages/ + +[report] +sort = -Cover +# Regexes for lines to exclude from consideration +exclude_lines = + # Have to re-enable the standard pragma + pragma: no cover + + # Don't complain about missing debug-only code: + def __repr__ + if self\.debug + + # Don't complain if tests don't hit defensive assertion code: + raise AssertionError + raise NotImplementedError + + # Don't complain if non-runnable code isn't run: + if 0: + if __name__ == .__main__.: + + if TYPE_CHECKING: diff --git a/datajunction-reflection/.flake8 b/datajunction-reflection/.flake8 new file mode 100644 index 000000000..d9ad0b409 --- /dev/null +++ b/datajunction-reflection/.flake8 @@ -0,0 +1,5 @@ +[flake8] +ignore = E203, E266, E501, W503, F403, F401 +max-line-length = 79 +max-complexity = 18 +select = B,C,E,F,W,T4,B9 diff --git a/datajunction-reflection/.gitignore b/datajunction-reflection/.gitignore new file mode 100644 index 000000000..b6e47617d --- /dev/null +++ b/datajunction-reflection/.gitignore @@ -0,0 +1,129 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ diff --git a/datajunction-reflection/.isort.cfg b/datajunction-reflection/.isort.cfg new file mode 100644 index 000000000..c00191213 --- /dev/null +++ b/datajunction-reflection/.isort.cfg @@ -0,0 +1,3 @@ +[settings] +profile = black +known_first_party = djrs diff --git a/datajunction-reflection/.pre-commit-config.yaml b/datajunction-reflection/.pre-commit-config.yaml new file mode 100644 index 000000000..d74640d0d --- /dev/null +++ b/datajunction-reflection/.pre-commit-config.yaml @@ -0,0 +1,53 @@ +files: ^datajunction-reflection/ + +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: trailing-whitespace + - id: check-ast + exclude: ^templates/ + - id: check-merge-conflict + - id: debug-statements + exclude: ^templates/ + - id: requirements-txt-fixer + exclude: ^templates/ + +- repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.11.10 + hooks: + - id: ruff + args: [ --fix ] + - id: ruff-format + +- repo: https://github.com/pre-commit/mirrors-mypy + rev: 'v0.981' # Use the sha / tag you want to point at + hooks: + - id: mypy + exclude: ^templates/ + additional_dependencies: + - types-requests + - types-freezegun + - types-python-dateutil + - types-setuptools + - types-PyYAML + - types-tabulate + +- repo: https://github.com/asottile/add-trailing-comma + rev: v3.1.0 + hooks: + - id: add-trailing-comma + +- repo: https://github.com/kynan/nbstripout + rev: 0.6.1 + hooks: + - id: nbstripout +- repo: https://github.com/tomcatling/black-nb + rev: "0.7" + hooks: + - id: black-nb + files: '\.ipynb$' +- repo: https://github.com/pdm-project/pdm + rev: 2.6.1 + hooks: + - id: pdm-lock-check diff --git a/datajunction-reflection/.pylintrc b/datajunction-reflection/.pylintrc new file mode 100644 index 000000000..5b6fccaa9 --- /dev/null +++ b/datajunction-reflection/.pylintrc @@ -0,0 +1,6 @@ +[MESSAGES CONTROL] + +[MASTER] +# https://github.com/samuelcolvin/pydantic/issues/1961#issuecomment-759522422 +extension-pkg-whitelist=pydantic +ignore=templates,docs diff --git a/datajunction-reflection/CODE_OF_CONDUCT.md b/datajunction-reflection/CODE_OF_CONDUCT.md new file mode 100644 index 000000000..18c914718 --- /dev/null +++ b/datajunction-reflection/CODE_OF_CONDUCT.md @@ -0,0 +1,128 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our +community a harassment-free experience for everyone, regardless of age, body +size, visible or invisible disability, ethnicity, sex characteristics, gender +identity and expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, religion, or sexual identity +and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, +diverse, inclusive, and healthy community. + +## Our Standards + +Examples of behavior that contributes to a positive environment for our +community include: + +* Demonstrating empathy and kindness toward other people +* Being respectful of differing opinions, viewpoints, and experiences +* Giving and gracefully accepting constructive feedback +* Accepting responsibility and apologizing to those affected by our mistakes, + and learning from the experience +* Focusing on what is best not just for us as individuals, but for the + overall community + +Examples of unacceptable behavior include: + +* The use of sexualized language or imagery, and sexual attention or + advances of any kind +* Trolling, insulting or derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or email + address, without their explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of +acceptable behavior and will take appropriate and fair corrective action in +response to any behavior that they deem inappropriate, threatening, offensive, +or harmful. + +Community leaders have the right and responsibility to remove, edit, or reject +comments, commits, code, wiki edits, issues, and other contributions that are +not aligned to this Code of Conduct, and will communicate reasons for moderation +decisions when appropriate. + +## Scope + +This Code of Conduct applies within all community spaces, and also applies when +an individual is officially representing the community in public spaces. +Examples of representing our community include using an official e-mail address, +posting via an official social media account, or acting as an appointed +representative at an online or offline event. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported to the community leaders responsible for enforcement at +. +All complaints will be reviewed and investigated promptly and fairly. + +All community leaders are obligated to respect the privacy and security of the +reporter of any incident. + +## Enforcement Guidelines + +Community leaders will follow these Community Impact Guidelines in determining +the consequences for any action they deem in violation of this Code of Conduct: + +### 1. Correction + +**Community Impact**: Use of inappropriate language or other behavior deemed +unprofessional or unwelcome in the community. + +**Consequence**: A private, written warning from community leaders, providing +clarity around the nature of the violation and an explanation of why the +behavior was inappropriate. A public apology may be requested. + +### 2. Warning + +**Community Impact**: A violation through a single incident or series +of actions. + +**Consequence**: A warning with consequences for continued behavior. No +interaction with the people involved, including unsolicited interaction with +those enforcing the Code of Conduct, for a specified period of time. This +includes avoiding interactions in community spaces as well as external channels +like social media. Violating these terms may lead to a temporary or +permanent ban. + +### 3. Temporary Ban + +**Community Impact**: A serious violation of community standards, including +sustained inappropriate behavior. + +**Consequence**: A temporary ban from any sort of interaction or public +communication with the community for a specified period of time. No public or +private interaction with the people involved, including unsolicited interaction +with those enforcing the Code of Conduct, is allowed during this period. +Violating these terms may lead to a permanent ban. + +### 4. Permanent Ban + +**Community Impact**: Demonstrating a pattern of violation of community +standards, including sustained inappropriate behavior, harassment of an +individual, or aggression toward or disparagement of classes of individuals. + +**Consequence**: A permanent ban from any sort of public interaction within +the community. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], +version 2.0, available at +https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. + +Community Impact Guidelines were inspired by [Mozilla's code of conduct +enforcement ladder](https://github.com/mozilla/diversity). + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see the FAQ at +https://www.contributor-covenant.org/faq. Translations are available at +https://www.contributor-covenant.org/translations. diff --git a/datajunction-reflection/Dockerfile b/datajunction-reflection/Dockerfile new file mode 100644 index 000000000..5286b8bb0 --- /dev/null +++ b/datajunction-reflection/Dockerfile @@ -0,0 +1,15 @@ +FROM python:3.11-slim + +RUN addgroup --system celery && \ + adduser --system --ingroup celery --home /code celery + +WORKDIR /code + +COPY . . + +RUN pip install --no-cache-dir -e . + +RUN chown -R celery:celery /code +USER celery + +CMD ["celery", "--app", "datajunction_reflection.celery_app", "beat", "--loglevel=info"] diff --git a/datajunction-reflection/LICENSE b/datajunction-reflection/LICENSE new file mode 100644 index 000000000..208e34b3d --- /dev/null +++ b/datajunction-reflection/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 DJ + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/datajunction-reflection/Makefile b/datajunction-reflection/Makefile new file mode 100644 index 000000000..7e708fe04 --- /dev/null +++ b/datajunction-reflection/Makefile @@ -0,0 +1,37 @@ +pyenv: .python-version + +.python-version: setup.cfg + if [ -z "`pyenv virtualenvs | grep djrs`" ]; then\ + pyenv virtualenv 3.10 djrs;\ + fi + if [ ! -f .python-version ]; then\ + pyenv local djrs;\ + fi + pdm install + touch .python-version + +docker-build: + docker build . + +test: pyenv + pdm run pytest --cov=datajunction_reflection -vv tests/ --doctest-modules datajunction_reflection --without-integration --without-slow-integration ${PYTEST_ARGS} + +integration: pyenv + pdm run pytest --cov=datajunction_reflection -vv tests/ --doctest-modules datajunction_reflection --with-integration --with-slow-integration + +clean: + pyenv virtualenv-delete djrs + +spellcheck: + codespell -L froms -S "*.json" datajunction_reflection docs/*rst tests templates + +check: + pdm run pre-commit run --all-files + +lint: + make check + +dev-release: + hatch version dev + hatch build + hatch publish diff --git a/datajunction-reflection/README.md b/datajunction-reflection/README.md new file mode 100644 index 000000000..d94696f3a --- /dev/null +++ b/datajunction-reflection/README.md @@ -0,0 +1,9 @@ +# DJ Reflection Service + +The reflection service polls the DJ core service for all nodes with associated tables, whether source +tables or materialized tables. For each node, it refreshes the node's schema based on the associated +table's schema that it retrieves from the query service. It also retrieves the available partitions and +the valid through timestamp of these tables and reflects them accordingly to DJ core. + +This service uses a celery beat scheduler, with a configurable polling interval that defaults to once per +hour and async tasks for each node's reflection. diff --git a/datajunction-reflection/datajunction_reflection/__about__.py b/datajunction-reflection/datajunction_reflection/__about__.py new file mode 100644 index 000000000..b4596b950 --- /dev/null +++ b/datajunction-reflection/datajunction_reflection/__about__.py @@ -0,0 +1,5 @@ +""" +Version for Hatch +""" + +__version__ = "0.0.46" diff --git a/datajunction-reflection/datajunction_reflection/__init__.py b/datajunction-reflection/datajunction_reflection/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-reflection/datajunction_reflection/config.py b/datajunction-reflection/datajunction_reflection/config.py new file mode 100644 index 000000000..88fe2d54d --- /dev/null +++ b/datajunction-reflection/datajunction_reflection/config.py @@ -0,0 +1,27 @@ +"""Reflection service settings.""" + +from functools import lru_cache + +from pydantic import BaseSettings + + +class Settings(BaseSettings): + """ + Default settings for the reflection service. + """ + + core_service: str = "http://dj:8000" + query_service: str = "http://djqs:8001" + celery_broker: str = "redis://djrs-redis:6379/1" + celery_results_backend: str = "redis://djrs-redis:6379/2" + + # Set the number of seconds to wait in between polling + polling_interval: int = 3600 + + +@lru_cache +def get_settings() -> Settings: + """ + Return a cached settings object. + """ + return Settings() diff --git a/datajunction-reflection/datajunction_reflection/worker/__init__.py b/datajunction-reflection/datajunction_reflection/worker/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-reflection/datajunction_reflection/worker/app.py b/datajunction-reflection/datajunction_reflection/worker/app.py new file mode 100644 index 000000000..ff3eaed1d --- /dev/null +++ b/datajunction-reflection/datajunction_reflection/worker/app.py @@ -0,0 +1,8 @@ +""" +Celery app that does the polling of nodes in DJ and then subsequent +queueing of reflection tasks. +""" + +from datajunction_reflection.worker.utils import get_celery + +celery_app = get_celery() diff --git a/datajunction-reflection/datajunction_reflection/worker/tasks.py b/datajunction-reflection/datajunction_reflection/worker/tasks.py new file mode 100644 index 000000000..6c8818582 --- /dev/null +++ b/datajunction-reflection/datajunction_reflection/worker/tasks.py @@ -0,0 +1,82 @@ +"""Reflection service celery tasks.""" + +from abc import ABC + +import celery +import requests +from celery import shared_task +from celery.utils.log import get_task_logger + +from datajunction_reflection.worker.app import celery_app +from datajunction_reflection.worker.utils import get_settings + +logger = get_task_logger(__name__) + + +class ReflectionServiceTask(celery.Task, ABC): + """ + Base reflection service task. + """ + + abstract = True + + def on_failure(self, exc, task_id, *args, **kwargs): + logger.exception("%s failed: %s", task_id, exc) # pragma: no cover + + +@shared_task( + queue="celery", + name="datajunction_reflection.worker.app.refresh", + base=ReflectionServiceTask, +) +def refresh(): + """ + Find available DJ nodes and kick off reflection tasks for + nodes with associated tables. + """ + settings = get_settings() + response = requests.get( + f"{settings.core_service}/nodes/?node_type=source", + timeout=30, + ) + response.raise_for_status() + source_nodes = response.json() + + tasks = [] + for node_name in source_nodes: + task = celery_app.send_task( + "datajunction_reflection.worker.tasks.reflect_source", + (node_name,), + ) + tasks.append(task) + + +@shared_task( + queue="celery", + name="datajunction_reflection.worker.tasks.reflect_source", + base=ReflectionServiceTask, +) +def reflect_source( + node_name: str, +): + """ + This reflects the state of the node's associated table, whether + external or materialized, back to the DJ core service. + """ + logger.info(f"Refreshing source node={node_name} in DJ core") + settings = get_settings() + + # Call the source node's refresh endpoint + response = requests.post( + f"{settings.core_service}/nodes/{node_name}/refresh/", + timeout=30, + ) + + logger.info( + "Finished refreshing source node `%s`. Response: %s", + node_name, + response.reason, + ) + + # pylint: disable=fixme + # TODO: Post actual availability state when information available diff --git a/datajunction-reflection/datajunction_reflection/worker/utils.py b/datajunction-reflection/datajunction_reflection/worker/utils.py new file mode 100644 index 000000000..b8f09c1c5 --- /dev/null +++ b/datajunction-reflection/datajunction_reflection/worker/utils.py @@ -0,0 +1,42 @@ +"""Utility functions for retrieving API clients.""" + +import os + +from celery import Celery + +from datajunction_reflection.config import get_settings + + +def get_celery() -> Celery: + """ + core celery app + """ + + settings = get_settings() + + celery_app = Celery( + __name__, + include=[ + "datajunction_reflection.worker.app", + "datajunction_reflection.worker.tasks", + ], + ) + celery_app.conf.broker_url = os.environ.get( + "CELERY_BROKER_URL", + settings.celery_broker, + ) + celery_app.conf.result_backend = os.environ.get( + "CELERY_RESULT_BACKEND", + settings.celery_results_backend, + ) + celery_app.conf.imports = [ + "datajunction_reflection.worker.app", + "datajunction_reflection.worker.tasks", + ] + celery_app.conf.beat_schedule = { + "refresh": { + "task": "datajunction_reflection.worker.app.refresh", + "schedule": settings.polling_interval, + }, + } + return celery_app diff --git a/datajunction-reflection/pdm.lock b/datajunction-reflection/pdm.lock new file mode 100644 index 000000000..5ff51b57a --- /dev/null +++ b/datajunction-reflection/pdm.lock @@ -0,0 +1,1321 @@ +# This file is @generated by PDM. +# It is not intended for manual editing. + +[metadata] +groups = ["default", "test"] +strategy = [] +lock_version = "4.5.0" +content_hash = "sha256:83d51e81ab7a589d4b9a44464b2558812dd773f60e14568df9ef269522c4c2a5" + +[[metadata.targets]] +requires_python = "~=3.10" + +[[package]] +name = "amqp" +version = "5.3.1" +requires_python = ">=3.6" +summary = "Low-level AMQP client for Python (fork of amqplib)." +dependencies = [ + "vine<6.0.0,>=5.0.0", +] +files = [ + {file = "amqp-5.3.1-py3-none-any.whl", hash = "sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2"}, + {file = "amqp-5.3.1.tar.gz", hash = "sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432"}, +] + +[[package]] +name = "astroid" +version = "3.3.10" +requires_python = ">=3.9.0" +summary = "An abstract syntax tree for Python with inference support." +dependencies = [ + "typing-extensions>=4; 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+build-backend = "hatchling.build" + +[tool.pdm.build] +includes = ["datajunction_reflection"] + +[project] +name = "datajunction-reflection" +dynamic = ["version"] +description = "OSS Implementation of a DataJunction Reflection Service" +authors = [ + {name = "DataJunction Authors", email = "roberto@dealmeida.net"}, +] +dependencies = [ + "importlib-metadata", + "celery[redis]>=5.2.3", + "python-dotenv==0.19.2", + "requests>=2.26.0", + "pydantic<2.0", + "pytz", +] +requires-python = ">=3.10,<4.0" +readme = "README.md" +license = {text = "MIT"} +classifiers = [ + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", +] + +[project.optional-dependencies] +uvicorn = [ + "uvicorn[standard]>=0.21.1", +] + +[tool.hatch.version] +path = "datajunction_reflection/__about__.py" + +[project.urls] +repository = "https://github.com/DataJunction/dj" + +[tool.pdm.dev-dependencies] +test = [ + "celery[pytest]", + "codespell>=2.1.0", + "freezegun>=1.1.0", + "pre-commit>=2.15.0", + "pyfakefs>=4.5.1", + "pylint>=2.15.3", + "pytest-asyncio==0.15.1", + "pytest-cov>=2.12.1", + "pytest-freezegun", + "pytest-integration==0.2.2", + "pytest-mock>=3.6.1", + "pytest>=6.2.5", + "requests-mock>=1.9.3", + "setuptools>=49.6.0", + "pip-tools>=6.4.0", + "typing-extensions>=4.3.0", +] + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.coverage.run] +source = ['datajunction_reflection/'] + +[tool.isort] +src_paths = ["datajunction_reflection/", "tests/"] +profile = 'black' diff --git a/datajunction-reflection/setup.cfg b/datajunction-reflection/setup.cfg new file mode 100644 index 000000000..cacabf684 --- /dev/null +++ b/datajunction-reflection/setup.cfg @@ -0,0 +1,19 @@ +# This file is used to configure your project. +# Read more about the various options under: +# https://setuptools.pypa.io/en/latest/userguide/declarative_config.html +# https://setuptools.pypa.io/en/latest/references/keywords.html + +[tool:pytest] +# Specify command line options as you would do when invoking pytest directly. +# e.g. --cov-report html (or xml) for html/xml output or --junitxml junit.xml +# in order to write a coverage file that can be read by Jenkins. +# CAUTION: --cov flags may prohibit setting breakpoints while debugging. +# Comment those flags to avoid this pytest issue. +addopts = + --cov datajunction_reflection --cov-report term-missing + --verbose +norecursedirs = + dist + build + .tox +testpaths = tests diff --git a/datajunction-reflection/tests/__init__.py b/datajunction-reflection/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-reflection/tests/conftest.py b/datajunction-reflection/tests/conftest.py new file mode 100644 index 000000000..8cf272976 --- /dev/null +++ b/datajunction-reflection/tests/conftest.py @@ -0,0 +1,32 @@ +"""Test configuration.""" + +import threading + +import pytest + +from datajunction_reflection.worker.app import celery_app as celeryapp + +# pytest_plugins = ("celery.contrib.pytest", ) + + +@pytest.fixture() +def celery_app(): + """ + Configure celery app for unit tests. This uses an in-memory broker + and starts a single worker. + """ + celeryapp.conf.update(CELERY_ALWAYS_EAGER=True) + celeryapp.conf.broker_url = "memory://localhost/" + celeryapp.conf.result_backend = "" + celeryapp.conf.CELERYD_CONCURRENCY = 1 + celeryapp.conf.CELERYD_POOL = "solo" + celeryapp.all_tasks = [] + + def run_worker(): + """Celery worker.""" + celeryapp.worker_main() + + thread = threading.Thread(target=run_worker) + thread.daemon = True + thread.start() + return celeryapp diff --git a/datajunction-reflection/tests/test_tasks.py b/datajunction-reflection/tests/test_tasks.py new file mode 100644 index 000000000..2db2af47f --- /dev/null +++ b/datajunction-reflection/tests/test_tasks.py @@ -0,0 +1,42 @@ +"""Tests the celery app.""" + +from unittest.mock import call + +from datajunction_reflection.worker.tasks import reflect_source, refresh + + +def test_refresh(celery_app, mocker): + """ + Tests that the reflection service refreshes DJ source nodes + """ + mock_dj_get_sources = mocker.patch("requests.get") + mock_dj_get_sources.return_value.json = lambda: ["postgres.test.revenue"] + mock_dj_get_sources.return_value.status_code = 200 + + refresh() + + assert { + "datajunction_reflection.worker.app.refresh", + "datajunction_reflection.worker.tasks.reflect_source", + }.intersection( + celery_app.tasks.keys(), + ) + assert mock_dj_get_sources.call_args_list == [ + call("http://dj:8000/nodes/?node_type=source", timeout=30), + ] + + +def test_reflect_source(celery_app, mocker, freezer): # pylint: disable=unused-argument + """ + Tests the reflection task. + """ + mock_dj_refresh = mocker.patch("requests.post") + mock_dj_refresh.return_value.status = 201 + + reflect_source.apply( + args=("postgres.test.revenue",), + ).get() + + assert mock_dj_refresh.call_args_list == [ + call("http://dj:8000/nodes/postgres.test.revenue/refresh/", timeout=30), + ] diff --git a/datajunction-reflection/tox.ini b/datajunction-reflection/tox.ini new file mode 100644 index 000000000..c10db6830 --- /dev/null +++ b/datajunction-reflection/tox.ini @@ -0,0 +1,14 @@ +[tox] +envlist = py3 + +[testenv] +pip_pre = true +deps = + -rrequirements/test.txt + pytest + testfixtures + coverage +commands = + pip install -e .[testing] + coverage run --source datajunction_reflection --parallel-mode -m pytest {posargs} --without-integration --without-slow-integration + coverage html --fail-under 100 -d test-reports/{envname}/coverage-html diff --git a/datajunction-server/.coveragerc b/datajunction-server/.coveragerc new file mode 100644 index 000000000..ee6929192 --- /dev/null +++ b/datajunction-server/.coveragerc @@ -0,0 +1,40 @@ +# .coveragerc to control coverage.py +[run] +concurrency = thread,greenlet +branch = True +source = datajunction_server +omit = + */datajunction_server/sql/parsing/backends/grammar/generated/* + */datajunction_server/sql/parsing/backends/antlr4.py + */datajunction_server/sql/parsing/ast.py + */datajunction_server/internal/access/authentication/google.py + */datajunction_server/api/access/authentication/google.py + */datajunction_server/api/djsql.py + */datajunction_server/construction/dj_query.py + */datajunction_server/alembic/* + +[paths] +source = + datajunction_server/ + */site-packages/ + +[report] +show_missing = True +# Regexes for lines to exclude from consideration +exclude_lines = + # Have to re-enable the standard pragma + pragma: no cover + + # Don't complain about missing debug-only code: + def __repr__ + if self\.debug + + # Don't complain if tests don't hit defensive assertion code: + raise AssertionError + raise NotImplementedError + + # Don't complain if non-runnable code isn't run: + if 0: + if __name__ == .__main__.: + + if TYPE_CHECKING: diff --git a/datajunction-server/.env b/datajunction-server/.env new file mode 100644 index 000000000..a0d33996e --- /dev/null +++ b/datajunction-server/.env @@ -0,0 +1,29 @@ +QUERY_SERVICE=http://djqs:8001 +SECRET=a-fake-secretkey +NODE_LIST_MAX=10000 + +# Writer DB (required) +WRITER_DB__URI=postgresql+psycopg://dj:dj@postgres_metadata:5432/dj +WRITER_DB__POOL_SIZE=20 +WRITER_DB__MAX_OVERFLOW=20 +WRITER_DB__POOL_TIMEOUT=10 +WRITER_DB__CONNECT_TIMEOUT=5 +WRITER_DB__POOL_PRE_PING=true +WRITER_DB__ECHO=false +WRITER_DB__KEEPALIVES=1 +WRITER_DB__KEEPALIVES_IDLE=30 +WRITER_DB__KEEPALIVES_INTERVAL=10 +WRITER_DB__KEEPALIVES_COUNT=5 + +# Reader DB (optional) +READER_DB__URI=postgresql+psycopg://readonly_user:readonly_pass@postgres_metadata:5432/dj +READER_DB__POOL_SIZE=10 +READER_DB__MAX_OVERFLOW=10 +READER_DB__POOL_TIMEOUT=5 +READER_DB__CONNECT_TIMEOUT=5 +READER_DB__POOL_PRE_PING=true +READER_DB__ECHO=false +READER_DB__KEEPALIVES=1 +READER_DB__KEEPALIVES_IDLE=30 +READER_DB__KEEPALIVES_INTERVAL=10 +READER_DB__KEEPALIVES_COUNT=5 diff --git a/datajunction-server/.env.integration b/datajunction-server/.env.integration new file mode 100644 index 000000000..1dd0ac039 --- /dev/null +++ b/datajunction-server/.env.integration @@ -0,0 +1 @@ +QUERY_SERVICE=http://djqs:8001 diff --git a/datajunction-server/.flake8 b/datajunction-server/.flake8 new file mode 100644 index 000000000..d9ad0b409 --- /dev/null +++ b/datajunction-server/.flake8 @@ -0,0 +1,5 @@ +[flake8] +ignore = E203, E266, E501, W503, F403, F401 +max-line-length = 79 +max-complexity = 18 +select = B,C,E,F,W,T4,B9 diff --git a/datajunction-server/.isort.cfg b/datajunction-server/.isort.cfg new file mode 100644 index 000000000..8c960bf43 --- /dev/null +++ b/datajunction-server/.isort.cfg @@ -0,0 +1,3 @@ +[settings] +profile = black +known_first_party = dj diff --git a/datajunction-server/.pre-commit-config.yaml b/datajunction-server/.pre-commit-config.yaml new file mode 100644 index 000000000..a38e41762 --- /dev/null +++ b/datajunction-server/.pre-commit-config.yaml @@ -0,0 +1,61 @@ +files: ^datajunction-server/ +exclude: (^datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated|^README.md) + +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: trailing-whitespace + - id: check-ast + exclude: ^templates/ + - id: check-merge-conflict + - id: debug-statements + exclude: ^templates/ + - id: requirements-txt-fixer + exclude: ^templates/ + +- repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.11.10 + hooks: + - id: ruff + args: [ --fix ] + - id: ruff-format + +- repo: https://github.com/pre-commit/mirrors-mypy + rev: 'v0.981' # Use the sha / tag you want to point at + hooks: + - id: mypy + exclude: ^templates/ + additional_dependencies: + - types-requests + - types-freezegun + - types-python-dateutil + - types-setuptools + - types-PyYAML + - types-tabulate + +- repo: https://github.com/asottile/add-trailing-comma + rev: v3.1.0 + hooks: + - id: add-trailing-comma + +- repo: https://github.com/kynan/nbstripout + rev: 0.6.1 + hooks: + - id: nbstripout +- repo: https://github.com/tomcatling/black-nb + rev: "0.7" + hooks: + - id: black-nb + files: '\.ipynb$' +- repo: https://github.com/pdm-project/pdm + rev: 2.6.1 + hooks: + - id: pdm-lock-check +- repo: local + hooks: + - id: generate-graphql-schema + name: Generate GraphQL schema + entry: python datajunction-server/scripts/generate-graphql.py --output-dir datajunction-server/datajunction_server/api/graphql + language: system + pass_filenames: false diff --git a/datajunction-server/Dockerfile b/datajunction-server/Dockerfile new file mode 100644 index 000000000..dc5431323 --- /dev/null +++ b/datajunction-server/Dockerfile @@ -0,0 +1,12 @@ +FROM python:3.10 + +ARG RELOAD="--reload" +ENV RELOAD ${RELOAD} + +WORKDIR /code +COPY . /code +RUN pip install --no-cache-dir --upgrade -r /code/requirements/docker.txt +RUN pip install -e .[all] + +CMD ["sh", "-c", "opentelemetry-instrument uvicorn datajunction_server.api.main:app --host 0.0.0.0 --port 8000 $RELOAD"] +EXPOSE 8000 diff --git a/datajunction-server/Makefile b/datajunction-server/Makefile new file mode 100644 index 000000000..5e4ac6a62 --- /dev/null +++ b/datajunction-server/Makefile @@ -0,0 +1,41 @@ +pyenv: .python-version + +.python-version: setup.cfg + if [ -z "`pyenv virtualenvs | grep dj`" ]; then\ + pyenv virtualenv dj;\ + fi + if [ ! -f .python-version ]; then\ + pyenv local dj;\ + fi + pip install -r requirements/test.txt + touch .python-version + +docker-build: + docker build . + docker compose build + +docker-run: + docker compose up + +test: + pdm run pytest -n 4 --dist=loadscope --cov-fail-under=100 --cov=datajunction_server --cov-report term-missing -vv tests/ --doctest-modules datajunction_server --without-integration --without-slow-integration --ignore=datajunction_server/alembic/env.py ${PYTEST_ARGS} + +integration: + pdm run pytest --cov=dj -vv tests/ --doctest-modules datajunction_server --with-integration --with-slow-integration --ignore=datajunction_server/alembic/env.py ${PYTEST_ARGS} + +clean: + pyenv virtualenv-delete dj + +spellcheck: + codespell -L froms -S "*.json" dj docs/*rst tests templates + +check: + pdm run pre-commit run --all-files + +lint: + make check + +dev-release: + hatch version dev + hatch build + hatch publish diff --git a/datajunction-server/README.md b/datajunction-server/README.md new file mode 100644 index 000000000..6fe7ee418 --- /dev/null +++ b/datajunction-server/README.md @@ -0,0 +1,42 @@ +# DataJunction + +## Introduction + +DataJunction (DJ) is an open source **metrics platform** that allows users to define +metrics and the data models behind them using **SQL**, serving as a **semantic layer** +on top of a physical data warehouse. By leveraging this metadata, DJ can enable efficient +retrieval of metrics data across different dimensions and filters. + +![DataJunction](docs/static/datajunction-illustration.png) + +## Getting Started + +To launch the DataJunction UI with a minimal DataJunction backend, start the default docker compose environment. + +```sh +docker compose up +``` + +If you'd like to launch the full suite of services, including open-source implementations of the DataJunction query service and +DataJunction reflection service specifications, use the `demo` profile. + +```sh +docker compose --profile demo up +``` + +DJUI: [http://localhost:3000/](http://localhost:3000/) +DJ Swagger Docs: [http://localhost:8000/docs](http://localhost:8000/docs) +DJQS Swagger Docs: [http://localhost:8001/docs](http://localhost:8001/docs) +Jaeger UI: [http://localhost:16686/search](http://localhost:16686/search) +Jupyter Lab: [http://localhost:8888](http://localhost:8888) + +## How does this work? + +At its core, DJ stores metrics and their upstream abstractions as interconnected nodes. +These nodes can represent a variety of elements, such as tables in a data warehouse +(**source nodes**), SQL transformation logic (**transform nodes**), dimensions logic, +metrics logic, and even selections of metrics, dimensions, and filters (**cube nodes**). + +By parsing each node's SQL into an AST and through dimensional links between columns, +DJ can infer a graph of dependencies between nodes, which allows it to find the +appropriate join paths between nodes to generate queries for metrics. diff --git a/datajunction-server/datajunction_server/__about__.py b/datajunction-server/datajunction_server/__about__.py new file mode 100644 index 000000000..b4596b950 --- /dev/null +++ b/datajunction-server/datajunction_server/__about__.py @@ -0,0 +1,5 @@ +""" +Version for Hatch +""" + +__version__ = "0.0.46" diff --git a/datajunction-server/datajunction_server/__init__.py b/datajunction-server/datajunction_server/__init__.py new file mode 100644 index 000000000..2cff295fb --- /dev/null +++ b/datajunction-server/datajunction_server/__init__.py @@ -0,0 +1,14 @@ +""" +Package version and name. +""" + +from importlib.metadata import PackageNotFoundError, version # pragma: no cover + +try: + # Change here if project is renamed and does not equal the package name + DIST_NAME = __name__ + __version__ = version(DIST_NAME) +except PackageNotFoundError: # pragma: no cover + __version__ = "unknown" +finally: + del version, PackageNotFoundError diff --git a/datajunction-server/datajunction_server/alembic.ini b/datajunction-server/datajunction_server/alembic.ini new file mode 100644 index 000000000..5716e4937 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic.ini @@ -0,0 +1,104 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts +script_location = alembic + +# template used to generate migration files +# file_template = %%(rev)s_%%(slug)s +file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. +prepend_sys_path = . + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the python-dateutil library that can be +# installed by adding `alembic[tz]` to the pip requirements +# string value is passed to dateutil.tz.gettz() +# leave blank for localtime +# timezone = +timezone = UTC + +# max length of characters to apply to the +# "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to alembic/versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "version_path_separator" below. +# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions + +# version path separator; As mentioned above, this is the character used to split +# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep. +# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas. +# Valid values for version_path_separator are: +# +# version_path_separator = : +# version_path_separator = ; +# version_path_separator = space +version_path_separator = os # Use os.pathsep. Default configuration used for new projects. + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +sqlalchemy.url = driver://user:pass@localhost/dbname + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# Logging configuration +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/datajunction-server/datajunction_server/alembic/README b/datajunction-server/datajunction_server/alembic/README new file mode 100644 index 000000000..2500aa1bc --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/README @@ -0,0 +1 @@ +Generic single-database configuration. diff --git a/datajunction-server/datajunction_server/alembic/env.py b/datajunction-server/datajunction_server/alembic/env.py new file mode 100644 index 000000000..1e28f0bf0 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/env.py @@ -0,0 +1,88 @@ +""" +Environment for Alembic migrations. +""" + +import os +from logging.config import fileConfig + +import alembic +from sqlalchemy import create_engine + +from datajunction_server.database.base import Base + +DEFAULT_URI = os.getenv( + "DATABASE_URI", + "postgresql+psycopg://dj:dj@postgres_metadata:5432/dj", +) + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = alembic.context.config + +# Interpret the config file for Python logging. +# This line sets up loggers basically. +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +# add your model's MetaData object here +# for 'autogenerate' support +# from myapp import mymodel +# target_metadata = mymodel.Base.metadata +target_metadata = Base.metadata + +# other values from the config, defined by the needs of env.py, +# can be acquired: +# my_important_option = config.get_main_option("my_important_option") +# ... etc. + + +def run_migrations_offline(): + """Run migrations in 'offline' mode. + + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + + Calls to context.execute() here emit the given string to the + script output. + + """ + x_args = alembic.context.get_x_argument(as_dictionary=True) + alembic.context.configure( + url=x_args.get("uri") or DEFAULT_URI, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + render_as_batch=True, + ) + + with alembic.context.begin_transaction(): + alembic.context.run_migrations() + + +def run_migrations_online(): + """Run migrations in 'online' mode. + + In this scenario we need to create an Engine + and associate a connection with the context. + + """ + x_args = alembic.context.get_x_argument(as_dictionary=True) + connectable = create_engine(x_args.get("uri") or DEFAULT_URI) + + with connectable.connect() as connection: + alembic.context.configure( + connection=connection, + target_metadata=target_metadata, + render_as_batch=True, + ) + + with alembic.context.begin_transaction(): + alembic.context.run_migrations() + + +if alembic.context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/datajunction-server/datajunction_server/alembic/script.py.mako b/datajunction-server/datajunction_server/alembic/script.py.mako new file mode 100644 index 000000000..6b50c8266 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/script.py.mako @@ -0,0 +1,26 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision = ${repr(up_revision)} +down_revision = ${repr(down_revision)} +branch_labels = ${repr(branch_labels)} +depends_on = ${repr(depends_on)} + + +def upgrade(): + ${upgrades if upgrades else "pass"} + + +def downgrade(): + ${downgrades if downgrades else "pass"} diff --git a/datajunction-server/datajunction_server/alembic/versions/2023_12_20_1829-724445d2b29d_initial_migration.py b/datajunction-server/datajunction_server/alembic/versions/2023_12_20_1829-724445d2b29d_initial_migration.py new file mode 100644 index 000000000..b141e0981 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2023_12_20_1829-724445d2b29d_initial_migration.py @@ -0,0 +1,708 @@ +"""Initial migration + +Revision ID: 724445d2b29d +Revises: +Create Date: 2023-12-20 18:29:11.681799+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +import sqlalchemy_utils +from alembic import op + +# revision identifiers, used by Alembic. +revision = "724445d2b29d" +down_revision = None +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "attributetype", + sa.Column("name", sa.String(), nullable=False), + sa.Column("allowed_node_types", sa.JSON(), nullable=True), + sa.Column("uniqueness_scope", sa.JSON(), nullable=True), + sa.Column("namespace", sa.String(), nullable=False), + sa.Column("description", sa.String(), nullable=False), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_attributetype")), + sa.UniqueConstraint( + "namespace", + "name", + name=op.f("uq_attributetype_namespace"), + ), + ) + op.create_table( + "availabilitystate", + sa.Column("categorical_partitions", sa.JSON(), nullable=True), + sa.Column("temporal_partitions", sa.JSON(), nullable=True), + sa.Column("min_temporal_partition", sa.JSON(), nullable=True), + sa.Column("max_temporal_partition", sa.JSON(), nullable=True), + sa.Column("partitions", sa.JSON(), nullable=True), + sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("catalog", sa.String(), nullable=False), + sa.Column("schema_", sa.String(), nullable=True), + sa.Column("table", sa.String(), nullable=False), + sa.Column("valid_through_ts", sa.BigInteger(), nullable=False), + sa.Column("url", sa.String(), nullable=True), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_availabilitystate")), + ) + op.create_table( + "catalog", + sa.Column("uuid", sqlalchemy_utils.types.uuid.UUIDType(), nullable=False), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("extra_params", sa.JSON(), nullable=True), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("name", sa.String(), nullable=False), + sa.PrimaryKeyConstraint("id", name=op.f("pk_catalog")), + ) + op.create_table( + "node", + sa.Column("name", sa.String(), nullable=False), + sa.Column( + "type", + sa.Enum( + "SOURCE", + "TRANSFORM", + "METRIC", + "DIMENSION", + "CUBE", + name="nodetype", + ), + nullable=False, + ), + sa.Column("display_name", sa.String(), nullable=True), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("deactivated_at", sa.DateTime(timezone=True), nullable=True), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("namespace", sa.String(), nullable=False), + sa.Column("current_version", sa.String(), nullable=False), + sa.PrimaryKeyConstraint("id", name=op.f("pk_node")), + sa.UniqueConstraint("name", "namespace", name="unique_node_namespace_name"), + sa.UniqueConstraint("name", name=op.f("uq_node_name")), + ) + op.create_table( + "measures", + sa.Column("display_name", sa.String(), nullable=True), + sa.Column( + "additive", + sa.Enum( + "additive", + "non_additive", + "semi_additive", + name="aggregationrule", + ), + nullable=False, + ), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("name", sa.String(), nullable=False), + sa.Column("description", sa.String(), nullable=True), + sa.PrimaryKeyConstraint("id", name=op.f("pk_measures")), + sa.UniqueConstraint("name", name=op.f("uq_measures_name")), + ) + op.create_table( + "partition", + sa.Column("type_", sa.String(), nullable=False), + sa.Column("granularity", sa.String(), nullable=True), + sa.Column("format", sa.String(), nullable=True), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("column_id", sa.BigInteger(), nullable=False), + sa.PrimaryKeyConstraint("id", name=op.f("pk_partition")), + ) + op.create_table( + "column", + sa.Column("display_name", sa.String(), nullable=True), + sa.Column("type", sa.String(), nullable=True), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("name", sa.String(), nullable=False), + sa.Column("dimension_id", sa.BigInteger(), nullable=True), + sa.Column("dimension_column", sa.String(), nullable=True), + sa.Column("measure_id", sa.BigInteger(), nullable=True), + sa.Column("partition_id", sa.BigInteger(), nullable=True), + sa.ForeignKeyConstraint( + ["dimension_id"], + ["node.id"], + name=op.f("fk_column_dimension_id_node"), + ), + sa.ForeignKeyConstraint( + ["measure_id"], + ["measures.id"], + name=op.f("fk_column_measure_id_measures"), + ), + sa.ForeignKeyConstraint( + ["partition_id"], + ["partition.id"], + name=op.f("fk_column_partition_id_partition"), + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_column")), + ) + with op.batch_alter_table("partition", schema=None) as batch_op: + batch_op.create_foreign_key( + "fk_partition_column_id_column", + "column", + ["column_id"], + ["id"], + ) + op.create_table( + "database", + sa.Column("uuid", sqlalchemy_utils.types.uuid.UUIDType(), nullable=False), + sa.Column("name", sa.String(), nullable=False), + sa.Column("extra_params", sa.JSON(), nullable=True), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("description", sa.String(), nullable=True), + sa.Column("URI", sa.String(), nullable=False), + sa.Column("read_only", sa.Boolean(), nullable=False), + sa.Column("async", sa.Boolean(), nullable=False), + sa.Column("cost", sa.Float(), nullable=False), + sa.PrimaryKeyConstraint("id", name=op.f("pk_database")), + sa.UniqueConstraint("name", name=op.f("uq_database_name")), + ) + op.create_table( + "engine", + sa.Column( + "dialect", + sa.Enum("SPARK", "TRINO", "DRUID", name="dialect"), + nullable=True, + ), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("name", sa.String(), nullable=False), + sa.Column("version", sa.String(), nullable=False), + sa.Column("uri", sa.String(), nullable=True), + sa.PrimaryKeyConstraint("id", name=op.f("pk_engine")), + ) + op.create_table( + "history", + sa.Column("pre", sa.JSON(), nullable=True), + sa.Column("post", sa.JSON(), nullable=True), + sa.Column("details", sa.JSON(), nullable=True), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column( + "entity_type", + sa.Enum( + "attribute", + "availability", + "backfill", + "catalog", + "column_attribute", + "dependency", + "engine", + "link", + "materialization", + "namespace", + "node", + "partition", + "query", + "tag", + name="entitytype", + ), + nullable=True, + ), + sa.Column("entity_name", sa.String(), nullable=True), + sa.Column("node", sa.String(), nullable=True), + sa.Column( + "activity_type", + sa.Enum( + "create", + "delete", + "restore", + "update", + "refresh", + "tag", + "set_attribute", + "status_change", + name="activitytype", + ), + nullable=True, + ), + sa.Column("user", sa.String(), nullable=True), + sa.PrimaryKeyConstraint("id", name=op.f("pk_history")), + ) + op.create_table( + "metricmetadata", + sa.Column( + "direction", + sa.Enum( + "HIGHER_IS_BETTER", + "LOWER_IS_BETTER", + "NEUTRAL", + name="metricdirection", + ), + nullable=True, + ), + sa.Column( + "unit", + sa.Enum( + "UNKNOWN", + "UNITLESS", + "PERCENTAGE", + "PROPORTION", + "DOLLAR", + "SECOND", + "MINUTE", + "HOUR", + "DAY", + "WEEK", + "MONTH", + "YEAR", + name="metricunit", + ), + nullable=True, + ), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_metricmetadata")), + ) + op.create_table( + "missingparent", + sa.Column("name", sa.String(), nullable=False), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_missingparent")), + ) + op.create_table( + "nodenamespace", + sa.Column("deactivated_at", sa.DateTime(timezone=True), nullable=True), + sa.Column("namespace", sa.String(), nullable=False), + sa.PrimaryKeyConstraint("namespace", name=op.f("pk_nodenamespace")), + sa.UniqueConstraint("namespace", name=op.f("uq_nodenamespace_namespace")), + ) + op.create_table( + "tag", + sa.Column("display_name", sa.String(), nullable=False), + sa.Column("tag_metadata", sa.JSON(), nullable=True), + sa.Column("name", sa.String(), nullable=False), + sa.Column("description", sa.String(), nullable=True), + sa.Column("tag_type", sa.String(), nullable=False), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_tag")), + sa.UniqueConstraint("name", name=op.f("uq_tag_name")), + ) + op.create_table( + "users", + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("username", sa.String(), nullable=False), + sa.Column("password", sa.String(), nullable=True), + sa.Column("email", sa.String(), nullable=True), + sa.Column("name", sa.String(), nullable=True), + sa.Column( + "oauth_provider", + sa.Enum("basic", "github", "google", name="oauthprovider"), + nullable=False, + ), + sa.Column("is_admin", sa.Boolean(), nullable=False), + sa.PrimaryKeyConstraint("id", name=op.f("pk_users")), + ) + op.create_table( + "catalogengines", + sa.Column("catalog_id", sa.BigInteger(), nullable=False), + sa.Column("engine_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["catalog_id"], + ["catalog.id"], + name=op.f("fk_catalogengines_catalog_id_catalog"), + ), + sa.ForeignKeyConstraint( + ["engine_id"], + ["engine.id"], + name=op.f("fk_catalogengines_engine_id_engine"), + ), + sa.PrimaryKeyConstraint( + "catalog_id", + "engine_id", + name=op.f("pk_catalogengines"), + ), + ) + op.create_table( + "columnattribute", + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("attribute_type_id", sa.BigInteger(), nullable=False), + sa.Column("column_id", sa.BigInteger(), nullable=True), + sa.ForeignKeyConstraint( + ["attribute_type_id"], + ["attributetype.id"], + name=op.f("fk_columnattribute_attribute_type_id_attributetype"), + ), + sa.ForeignKeyConstraint( + ["column_id"], + ["column.id"], + name=op.f("fk_columnattribute_column_id_column"), + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_columnattribute")), + sa.UniqueConstraint( + "attribute_type_id", + "column_id", + name=op.f("uq_columnattribute_attribute_type_id"), + ), + ) + op.create_table( + "noderevision", + sa.Column("name", sa.String(), nullable=False), + sa.Column("display_name", sa.String(), nullable=True), + sa.Column( + "type", + sa.Enum( + "SOURCE", + "TRANSFORM", + "METRIC", + "DIMENSION", + "CUBE", + name="nodetype", + ), + nullable=False, + ), + sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("lineage", sa.JSON(), nullable=True), + sa.Column("description", sa.String(), nullable=False), + sa.Column("query", sa.String(), nullable=True), + sa.Column("mode", sa.String(), nullable=False), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("version", sa.String(), nullable=True), + sa.Column("node_id", sa.BigInteger(), nullable=False), + sa.Column("catalog_id", sa.BigInteger(), nullable=True), + sa.Column("schema_", sa.String(), nullable=True), + sa.Column("table", sa.String(), nullable=True), + sa.Column("metric_metadata_id", sa.BigInteger(), nullable=True), + sa.Column("status", sa.String(), nullable=False), + sa.ForeignKeyConstraint( + ["catalog_id"], + ["catalog.id"], + name=op.f("fk_noderevision_catalog_id_catalog"), + ), + sa.ForeignKeyConstraint( + ["metric_metadata_id"], + ["metricmetadata.id"], + name=op.f("fk_noderevision_metric_metadata_id_metricmetadata"), + ), + sa.ForeignKeyConstraint( + ["node_id"], + ["node.id"], + name=op.f("fk_noderevision_node_id_node"), + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_noderevision")), + sa.UniqueConstraint("version", "node_id", name=op.f("uq_noderevision_version")), + ) + op.create_table( + "table", + sa.Column("schema_", sa.String(), nullable=True), + sa.Column("table", sa.String(), nullable=False), + sa.Column("cost", sa.Float(), nullable=False), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("database_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["database_id"], + ["database.id"], + name=op.f("fk_table_database_id_database"), + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_table")), + ) + op.create_table( + "tagnoderelationship", + sa.Column("tag_id", sa.BigInteger(), nullable=False), + sa.Column("node_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["node_id"], + ["node.id"], + name=op.f("fk_tagnoderelationship_node_id_node"), + ), + sa.ForeignKeyConstraint( + ["tag_id"], + ["tag.id"], + name=op.f("fk_tagnoderelationship_tag_id_tag"), + ), + sa.PrimaryKeyConstraint( + "tag_id", + "node_id", + name=op.f("pk_tagnoderelationship"), + ), + ) + op.create_table( + "cube", + sa.Column("cube_id", sa.BigInteger(), nullable=False), + sa.Column("cube_element_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["cube_element_id"], + ["column.id"], + name=op.f("fk_cube_cube_element_id_column"), + ), + sa.ForeignKeyConstraint( + ["cube_id"], + ["noderevision.id"], + name=op.f("fk_cube_cube_id_noderevision"), + ), + sa.PrimaryKeyConstraint("cube_id", "cube_element_id", name=op.f("pk_cube")), + ) + op.create_table( + "materialization", + sa.Column( + "strategy", + sa.Enum( + "full", + "snapshot", + "snapshot_partition", + "incremental_time", + "view", + name="materializationstrategy", + ), + nullable=True, + server_default="full", + ), + sa.Column("config", sa.JSON(), nullable=False), + sa.Column("job", sa.String(), nullable=False), + sa.Column("deactivated_at", sa.DateTime(timezone=True), nullable=True), + sa.Column( + "id", + sa.BigInteger(), + autoincrement=True, + nullable=False, + ), + sa.Column("node_revision_id", sa.BigInteger(), nullable=False), + sa.Column("name", sa.String(), nullable=False), + sa.Column("schedule", sa.String(), nullable=False), + sa.ForeignKeyConstraint( + ["node_revision_id"], + ["noderevision.id"], + name=op.f("fk_materialization_node_revision_id_noderevision"), + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_materialization")), + sa.UniqueConstraint("name", "node_revision_id", name="name_node_revision_uniq"), + ) + op.create_table( + "metric_required_dimensions", + sa.Column("metric_id", sa.BigInteger(), nullable=False), + sa.Column("bound_dimension_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["bound_dimension_id"], + ["column.id"], + name=op.f("fk_metric_required_dimensions_bound_dimension_id_column"), + ), + sa.ForeignKeyConstraint( + ["metric_id"], + ["noderevision.id"], + name=op.f("fk_metric_required_dimensions_metric_id_noderevision"), + ), + sa.PrimaryKeyConstraint( + "metric_id", + "bound_dimension_id", + name=op.f("pk_metric_required_dimensions"), + ), + ) + op.create_table( + "nodeavailabilitystate", + sa.Column("availability_id", sa.BigInteger(), nullable=False), + sa.Column("node_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["availability_id"], + ["availabilitystate.id"], + name=op.f("fk_nodeavailabilitystate_availability_id_availabilitystate"), + ), + sa.ForeignKeyConstraint( + ["node_id"], + ["noderevision.id"], + name=op.f("fk_nodeavailabilitystate_node_id_noderevision"), + ), + sa.PrimaryKeyConstraint( + "availability_id", + "node_id", + name=op.f("pk_nodeavailabilitystate"), + ), + ) + op.create_table( + "nodecolumns", + sa.Column("node_id", sa.BigInteger(), nullable=False), + sa.Column("column_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["column_id"], + ["column.id"], + name=op.f("fk_nodecolumns_column_id_column"), + ), + sa.ForeignKeyConstraint( + ["node_id"], + ["noderevision.id"], + name=op.f("fk_nodecolumns_node_id_noderevision"), + ), + sa.PrimaryKeyConstraint("node_id", "column_id", name=op.f("pk_nodecolumns")), + ) + op.create_table( + "nodemissingparents", + sa.Column("missing_parent_id", sa.BigInteger(), nullable=False), + sa.Column("referencing_node_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["missing_parent_id"], + ["missingparent.id"], + name=op.f("fk_nodemissingparents_missing_parent_id_missingparent"), + ), + sa.ForeignKeyConstraint( + ["referencing_node_id"], + ["noderevision.id"], + name=op.f("fk_nodemissingparents_referencing_node_id_noderevision"), + ), + sa.PrimaryKeyConstraint( + "missing_parent_id", + "referencing_node_id", + name=op.f("pk_nodemissingparents"), + ), + ) + op.create_table( + "noderelationship", + sa.Column("parent_id", sa.BigInteger(), nullable=False), + sa.Column("parent_version", sa.String(), nullable=True), + sa.Column("child_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["child_id"], + ["noderevision.id"], + name=op.f("fk_noderelationship_child_id_noderevision"), + ), + sa.ForeignKeyConstraint( + ["parent_id"], + ["node.id"], + name=op.f("fk_noderelationship_parent_id_node"), + ), + sa.PrimaryKeyConstraint( + "parent_id", + "child_id", + name=op.f("pk_noderelationship"), + ), + ) + op.create_table( + "tablecolumns", + sa.Column("table_id", sa.BigInteger(), nullable=False), + sa.Column("column_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["column_id"], + ["column.id"], + name=op.f("fk_tablecolumns_column_id_column"), + ), + sa.ForeignKeyConstraint( + ["table_id"], + ["table.id"], + name=op.f("fk_tablecolumns_table_id_table"), + ), + sa.PrimaryKeyConstraint("table_id", "column_id", name=op.f("pk_tablecolumns")), + ) + op.create_table( + "backfill", + sa.Column("spec", sa.JSON(), nullable=True), + sa.Column("urls", sa.JSON(), nullable=True), + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("materialization_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["materialization_id"], + ["materialization.id"], + name=op.f("fk_backfill_materialization_id_materialization"), + ), + sa.PrimaryKeyConstraint("id", name=op.f("pk_backfill")), + ) + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.drop_table("backfill") + op.drop_table("tablecolumns") + op.drop_table("noderelationship") + op.drop_table("nodemissingparents") + op.drop_table("nodecolumns") + op.drop_table("nodeavailabilitystate") + op.drop_table("metric_required_dimensions") + op.drop_table("materialization") + op.drop_table("cube") + op.drop_table("tagnoderelationship") + op.drop_table("table") + op.drop_table("noderevision") + op.drop_table("columnattribute") + op.drop_table("catalogengines") + op.drop_table("users") + op.drop_table("tag") + op.drop_table("partition") + op.drop_table("nodenamespace") + op.drop_table("node") + op.drop_table("missingparent") + op.drop_table("metricmetadata") + op.drop_table("measures") + op.drop_table("history") + op.drop_table("engine") + op.drop_table("database") + op.drop_table("column") + op.drop_table("catalog") + op.drop_table("availabilitystate") + op.drop_table("attributetype") + # ### end Alembic commands ### diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_01_08_2034-945d44abcd32_add_dimension_links.py b/datajunction-server/datajunction_server/alembic/versions/2024_01_08_2034-945d44abcd32_add_dimension_links.py new file mode 100644 index 000000000..bf9d57935 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_01_08_2034-945d44abcd32_add_dimension_links.py @@ -0,0 +1,72 @@ +"""Add dimension links + +Revision ID: 945d44abcd32 +Revises: 724445d2b29d +Create Date: 2024-01-08 20:34:59.505580+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "945d44abcd32" +down_revision = "724445d2b29d" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "dimensionlink", + sa.Column( + "id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("role", sa.String(), nullable=True), + sa.Column( + "node_revision_id", + sa.BigInteger(), + nullable=False, + ), + sa.Column( + "dimension_id", + sa.BigInteger(), + nullable=False, + ), + sa.Column("join_sql", sa.String(), nullable=False), + sa.Column( + "join_type", + sa.Enum("LEFT", "RIGHT", "INNER", "FULL", "CROSS", name="jointype"), + nullable=True, + ), + sa.Column( + "join_cardinality", + sa.Enum( + "ONE_TO_ONE", + "ONE_TO_MANY", + "MANY_TO_ONE", + "MANY_TO_MANY", + name="joincardinality", + ), + nullable=False, + ), + sa.Column("materialization_conf", sa.JSON(), nullable=True), + sa.ForeignKeyConstraint( + ["dimension_id"], + ["node.id"], + name=op.f("fk_dimensionlink_dimension_id_node"), + ), + sa.ForeignKeyConstraint( + ["node_revision_id"], + ["noderevision.id"], + name=op.f("fk_dimensionlink_node_revision_id_noderevision"), + ), + sa.PrimaryKeyConstraint("id"), + ) + + +def downgrade(): + op.drop_table("dimensionlink") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_01_11_2032-c74b11566d82_add_column_order.py b/datajunction-server/datajunction_server/alembic/versions/2024_01_11_2032-c74b11566d82_add_column_order.py new file mode 100644 index 000000000..ac0a62965 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_01_11_2032-c74b11566d82_add_column_order.py @@ -0,0 +1,76 @@ +"""Add column order and sets on delete policy for column <-> dimension_id + +Revision ID: c74b11566d82 +Revises: 945d44abcd32 +Create Date: 2024-01-11 20:32:44.086208+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "c74b11566d82" +down_revision = "945d44abcd32" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("column", schema=None) as batch_op: + batch_op.add_column(sa.Column("order", sa.Integer(), nullable=True)) + batch_op.drop_constraint("fk_column_dimension_id_node", type_="foreignkey") + batch_op.create_foreign_key( + "fk_column_dimension_id_node", + "node", + ["dimension_id"], + ["id"], + ondelete="SET NULL", + ) + + batch_op.drop_constraint("fk_column_measure_id_measures", type_="foreignkey") + batch_op.create_foreign_key( + "fk_column_measure_id_measures", + "measures", + ["measure_id"], + ["id"], + ondelete="SET NULL", + ) + + batch_op.drop_constraint("fk_column_partition_id_partition", type_="foreignkey") + batch_op.create_foreign_key( + "fk_column_partition_id_partition", + "partition", + ["partition_id"], + ["id"], + ondelete="SET NULL", + ) + + +def downgrade(): + with op.batch_alter_table("column", schema=None) as batch_op: + batch_op.drop_constraint("fk_column_partition_id_partition", type_="foreignkey") + batch_op.create_foreign_key( + "fk_column_partition_id_partition", + "partition", + ["partition_id"], + ["id"], + ) + + batch_op.drop_constraint("fk_column_measure_id_measures", type_="foreignkey") + batch_op.create_foreign_key( + "fk_column_measure_id_measures", + "measures", + ["measure_id"], + ["id"], + ) + + batch_op.drop_constraint("fk_column_dimension_id_node", type_="foreignkey") + batch_op.create_foreign_key( + "fk_column_dimension_id_node", + "node", + ["dimension_id"], + ["id"], + ) + batch_op.drop_column("order") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_01_18_2011-20f060b02772_switch_enum_values.py b/datajunction-server/datajunction_server/alembic/versions/2024_01_18_2011-20f060b02772_switch_enum_values.py new file mode 100644 index 000000000..e16c97ce0 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_01_18_2011-20f060b02772_switch_enum_values.py @@ -0,0 +1,204 @@ +"""Switch enum values + +Revision ID: 20f060b02772 +Revises: c74b11566d82 +Create Date: 2024-01-18 20:11:08.521879+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "20f060b02772" +down_revision = "c74b11566d82" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("nodenamespace", schema=None) as batch_op: + batch_op.create_unique_constraint("uq_nodenamespace_namespace", ["namespace"]) + + op.execute("ALTER TYPE oauthprovider RENAME VALUE 'basic' TO 'BASIC'") + op.execute("ALTER TYPE oauthprovider RENAME VALUE 'github' TO 'GITHUB'") + op.execute("ALTER TYPE oauthprovider RENAME VALUE 'google' TO 'GOOGLE'") + op.execute( + "UPDATE users set oauth_provider = upper(oauth_provider::text)::oauthprovider", + ) + + op.execute("ALTER TYPE materializationstrategy RENAME VALUE 'full' TO 'FULL'") + op.execute( + "ALTER TYPE materializationstrategy RENAME VALUE 'snapshot' TO 'SNAPSHOT'", + ) + op.execute( + "ALTER TYPE materializationstrategy " + "RENAME VALUE 'snapshot_partition' TO 'SNAPSHOT_PARTITION'", + ) + op.execute( + "ALTER TYPE materializationstrategy RENAME VALUE 'incremental_time' TO 'INCREMENTAL_TIME'", + ) + op.execute("ALTER TYPE materializationstrategy RENAME VALUE 'view' TO 'VIEW'") + op.execute( + "UPDATE materialization set strategy = upper(strategy::text)::materializationstrategy", + ) + + op.execute("ALTER TYPE aggregationrule RENAME VALUE 'additive' TO 'ADDITIVE'") + op.execute( + "ALTER TYPE aggregationrule RENAME VALUE 'non_additive' TO 'NON_ADDITIVE'", + ) + op.execute( + "ALTER TYPE aggregationrule RENAME VALUE 'semi_additive' TO 'SEMI_ADDITIVE'", + ) + op.execute("UPDATE measures set additive = upper(additive::text)::aggregationrule") + + op.execute("ALTER TYPE entitytype RENAME VALUE 'attribute' TO 'ATTRIBUTE'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'availability' TO 'AVAILABILITY'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'backfill' TO 'BACKFILL'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'catalog' TO 'CATALOG'") + op.execute( + "ALTER TYPE entitytype RENAME VALUE 'column_attribute' TO 'COLUMN_ATTRIBUTE'", + ) + op.execute("ALTER TYPE entitytype RENAME VALUE 'dependency' TO 'DEPENDENCY'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'engine' TO 'ENGINE'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'link' TO 'LINK'") + op.execute( + "ALTER TYPE entitytype RENAME VALUE 'materialization' TO 'MATERIALIZATION'", + ) + op.execute("ALTER TYPE entitytype RENAME VALUE 'namespace' TO 'NAMESPACE'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'node' TO 'NODE'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'partition' TO 'PARTITION'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'query' TO 'QUERY'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'tag' TO 'TAG'") + op.execute("UPDATE history set entity_type = upper(entity_type::text)::entitytype") + + op.execute("ALTER TYPE activitytype RENAME VALUE 'create' TO 'CREATE'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'delete' TO 'DELETE'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'restore' TO 'RESTORE'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'update' TO 'UPDATE'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'refresh' TO 'REFRESH'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'tag' TO 'TAG'") + op.execute( + "ALTER TYPE activitytype RENAME VALUE 'set_attribute' TO 'SET_ATTRIBUTE'", + ) + op.execute( + "ALTER TYPE activitytype RENAME VALUE 'status_change' TO 'STATUS_CHANGE'", + ) + op.execute( + "UPDATE history set activity_type = upper(activity_type::text)::activitytype", + ) + + op.execute("CREATE TYPE nodestatus AS ENUM ('VALID', 'INVALID')") + op.execute("CREATE TYPE nodemode AS ENUM ('DRAFT', 'PUBLISHED')") + op.execute( + "ALTER TABLE noderevision ALTER COLUMN status " + "TYPE nodestatus USING upper(status)::nodestatus", + ) + op.execute( + "ALTER TABLE noderevision ALTER COLUMN mode TYPE nodemode USING upper(mode)::nodemode", + ) + + op.execute("CREATE TYPE partitiontype AS ENUM ('TEMPORAL', 'CATEGORICAL')") + op.execute( + "CREATE TYPE granularity AS ENUM " + "('SECOND', 'MINUTE', 'HOUR', 'DAY', 'WEEK', 'MONTH', 'QUARTER', 'YEAR')", + ) + op.execute( + "ALTER TABLE partition ALTER COLUMN type_ " + "TYPE partitiontype USING upper(type_)::partitiontype", + ) + op.execute( + "ALTER TABLE partition ALTER COLUMN granularity " + "TYPE granularity USING upper(granularity)::granularity", + ) + + +def downgrade(): + op.execute("DROP TYPE partitiontype") + op.execute("DROP TYPE granularity") + op.execute( + "ALTER TABLE partition ALTER COLUMN type_ TYPE text USING lower(type_::text)", + ) + op.execute( + "ALTER TABLE partition ALTER COLUMN granularity TYPE text USING lower(granularity::text)", + ) + + op.execute("DROP TYPE nodestatus") + op.execute("DROP TYPE nodemode") + op.execute( + "ALTER TABLE noderevision ALTER COLUMN status TYPE text USING lower(status::text)", + ) + op.execute( + "ALTER TABLE noderevision ALTER COLUMN mode TYPE text USING lower(mode::text)", + ) + + op.execute("ALTER TYPE activitytype RENAME VALUE 'CREATE' TO 'create'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'DELETE' TO 'delete'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'RESTORE' TO 'restore'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'UPDATE' TO 'update'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'REFRESH' TO 'refresh'") + op.execute("ALTER TYPE activitytype RENAME VALUE 'TAG' TO 'tag'") + op.execute( + "ALTER TYPE activitytype RENAME VALUE 'SET_ATTRIBUTE' TO 'set_attribute'", + ) + op.execute( + "ALTER TYPE activitytype RENAME VALUE 'STATUS_CHANGE' TO 'status_change'", + ) + op.execute( + "UPDATE history set activity_type = lower(activity_type::text)::activitytype", + ) + + op.execute("ALTER TYPE entitytype RENAME VALUE 'ATTRIBUTE' TO 'attribute'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'AVAILABILITY' TO 'availability'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'BACKFILL' TO 'backfill'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'CATALOG' TO 'catalog'") + op.execute( + "ALTER TYPE entitytype RENAME VALUE 'COLUMN_ATTRIBUTE' TO 'column_attribute'", + ) + op.execute("ALTER TYPE entitytype RENAME VALUE 'DEPENDENCY' TO 'dependency'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'ENGINE' TO 'engine'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'LINK' TO 'link'") + op.execute( + "ALTER TYPE entitytype RENAME VALUE 'MATERIALIZATION' TO 'materialization'", + ) + op.execute("ALTER TYPE entitytype RENAME VALUE 'NAMESPACE' TO 'namespace'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'NODE' TO 'node'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'PARTITION' TO 'partition'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'QUERY' TO 'query'") + op.execute("ALTER TYPE entitytype RENAME VALUE 'TAG' TO 'tag'") + op.execute("UPDATE history set entity_type = lower(entity_type::text)::entitytype") + + op.execute("ALTER TYPE aggregationrule RENAME VALUE 'ADDITIVE' TO 'additive'") + op.execute( + "ALTER TYPE aggregationrule RENAME VALUE 'NON_ADDITIVE' TO 'non_additive'", + ) + op.execute( + "ALTER TYPE aggregationrule RENAME VALUE 'SEMI_ADDITIVE' TO 'semi_additive'", + ) + op.execute("UPDATE measures set additive = lower(additive::text)::aggregationrule") + + op.execute("ALTER TYPE materializationstrategy RENAME VALUE 'VIEW' TO 'view'") + op.execute( + "ALTER TYPE materializationstrategy RENAME VALUE 'INCREMENTAL_TIME' TO 'incremental_time'", + ) + op.execute( + "ALTER TYPE materializationstrategy " + "RENAME VALUE 'SNAPSHOT_PARTITION' TO 'snapshot_partition'", + ) + op.execute( + "ALTER TYPE materializationstrategy RENAME VALUE 'SNAPSHOT' TO 'snapshot'", + ) + op.execute("ALTER TYPE materializationstrategy RENAME VALUE 'FULL' TO 'full'") + op.execute( + "UPDATE materialization set strategy = lower(strategy::text)::materializationstrategy", + ) + + op.execute("ALTER TYPE oauthprovider RENAME VALUE 'GOOGLE' TO 'google'") + op.execute("ALTER TYPE oauthprovider RENAME VALUE 'GITHUB' TO 'github'") + op.execute("ALTER TYPE oauthprovider RENAME VALUE 'BASIC' TO 'basic'") + op.execute( + "UPDATE users set oauth_provider = lower(oauth_provider::text)::oauthprovider", + ) + + with op.batch_alter_table("nodenamespace", schema=None) as batch_op: + batch_op.drop_constraint("uq_nodenamespace_namespace", type_="unique") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_01_23_0617-c9cef8864ecb_add_missing_table_attribute_to_source_.py b/datajunction-server/datajunction_server/alembic/versions/2024_01_23_0617-c9cef8864ecb_add_missing_table_attribute_to_source_.py new file mode 100644 index 000000000..4e84dc06c --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_01_23_0617-c9cef8864ecb_add_missing_table_attribute_to_source_.py @@ -0,0 +1,34 @@ +"""Add missing_table attribute to source nodes. + +Revision ID: c9cef8864ecb +Revises: 20f060b02772 +Create Date: 2024-01-23 06:17:10.054149+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "c9cef8864ecb" +down_revision = "20f060b02772" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.add_column( + sa.Column("missing_table", sa.Boolean(), nullable=True, default=False), + ) + + op.execute("UPDATE node SET missing_table = False WHERE missing_table IS NULL") + + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.alter_column("missing_table", nullable=False) + + +def downgrade(): + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.drop_column("missing_table") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_01_23_1655-a8e22109be24_availability_state_s_valid_through_ts_.py b/datajunction-server/datajunction_server/alembic/versions/2024_01_23_1655-a8e22109be24_availability_state_s_valid_through_ts_.py new file mode 100644 index 000000000..322f16b6e --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_01_23_1655-a8e22109be24_availability_state_s_valid_through_ts_.py @@ -0,0 +1,27 @@ +"""Availability state's valid_through_ts should be bigint + +Revision ID: a8e22109be24 +Revises: c9cef8864ecb +Create Date: 2024-01-23 16:55:20.951715+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "a8e22109be24" +down_revision = "c9cef8864ecb" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("availabilitystate", schema=None) as batch_op: + batch_op.alter_column("valid_through_ts", type_=sa.BigInteger()) + + +def downgrade(): + with op.batch_alter_table("availabilitystate", schema=None) as batch_op: + batch_op.alter_column("valid_through_ts", type_=sa.Integer()) diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_02_22_0713-d61fb7e48cc3_cascade_deletes_to_dimension_links.py b/datajunction-server/datajunction_server/alembic/versions/2024_02_22_0713-d61fb7e48cc3_cascade_deletes_to_dimension_links.py new file mode 100644 index 000000000..973c1f382 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_02_22_0713-d61fb7e48cc3_cascade_deletes_to_dimension_links.py @@ -0,0 +1,119 @@ +"""Cascade deletes to dimension links + +Revision ID: d61fb7e48cc3 +Revises: a8e22109be24 +Create Date: 2024-02-22 07:13:51.441347+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "d61fb7e48cc3" +down_revision = "a8e22109be24" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("column", schema=None) as batch_op: + batch_op.drop_constraint("fk_column_measure_id_measures", type_="foreignkey") + batch_op.drop_constraint("fk_column_partition_id_partition", type_="foreignkey") + batch_op.create_foreign_key( + "fk_column_partition_id_partition", + "partition", + ["partition_id"], + ["id"], + ondelete="SET NULL", + ) + batch_op.create_foreign_key( + "fk_column_measure_id_measures", + "measures", + ["measure_id"], + ["id"], + ondelete="SET NULL", + ) + + with op.batch_alter_table("dimensionlink", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_dimensionlink_dimension_id_node", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_dimensionlink_node_revision_id_noderevision", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_dimensionlink_node_revision_id_noderevision", + "noderevision", + ["node_revision_id"], + ["id"], + ondelete="CASCADE", + ) + batch_op.create_foreign_key( + "fk_dimensionlink_dimension_id_node", + "node", + ["dimension_id"], + ["id"], + ondelete="CASCADE", + ) + + with op.batch_alter_table("partition", schema=None) as batch_op: + batch_op.drop_constraint("fk_partition_column_id_column", type_="foreignkey") + batch_op.create_foreign_key( + "fk_partition_column_id_column", + "column", + ["column_id"], + ["id"], + ondelete="CASCADE", + ) + + +def downgrade(): + with op.batch_alter_table("partition", schema=None) as batch_op: + batch_op.drop_constraint("fk_partition_column_id_column", type_="foreignkey") + batch_op.create_foreign_key( + "fk_partition_column_id_column", + "column", + ["column_id"], + ["id"], + ) + + with op.batch_alter_table("dimensionlink", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_dimensionlink_dimension_id_node", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_dimensionlink_node_revision_id_noderevision", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_dimensionlink_node_revision_id_noderevision", + "noderevision", + ["node_revision_id"], + ["id"], + ) + batch_op.create_foreign_key( + "fk_dimensionlink_dimension_id_node", + "node", + ["dimension_id"], + ["id"], + ) + + with op.batch_alter_table("column", schema=None) as batch_op: + batch_op.drop_constraint("fk_column_measure_id_measures", type_="foreignkey") + batch_op.drop_constraint("fk_column_partition_id_partition", type_="foreignkey") + batch_op.create_foreign_key( + "fk_column_partition_id_partition", + "partition", + ["partition_id"], + ["id"], + ) + batch_op.create_foreign_key( + "fk_column_measure_id_measures", + "measures", + ["measure_id"], + ["id"], + ) diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_04_30_1556-de7ec1c82fe0_add_query_requests.py b/datajunction-server/datajunction_server/alembic/versions/2024_04_30_1556-de7ec1c82fe0_add_query_requests.py new file mode 100644 index 000000000..f31ecceac --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_04_30_1556-de7ec1c82fe0_add_query_requests.py @@ -0,0 +1,97 @@ +"""Add query requests + +Revision ID: de7ec1c82fe0 +Revises: d61fb7e48cc3 +Create Date: 2024-04-30 15:56:20.193978+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = "de7ec1c82fe0" +down_revision = "d61fb7e48cc3" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "queryrequest", + sa.Column("id", sa.BigInteger(), nullable=False), + sa.Column( + "query_type", + sa.Enum("METRICS", "MEASURES", "NODE", name="querybuildtype"), + nullable=False, + ), + sa.Column( + "nodes", + postgresql.JSONB(astext_type=sa.Text()), + server_default=sa.text("'[]'::jsonb"), + nullable=False, + ), + sa.Column( + "parents", + postgresql.JSONB(astext_type=sa.Text()), + server_default=sa.text("'[]'::jsonb"), + nullable=False, + ), + sa.Column( + "dimensions", + postgresql.JSONB(astext_type=sa.Text()), + server_default=sa.text("'[]'::jsonb"), + nullable=False, + ), + sa.Column( + "filters", + postgresql.JSONB(astext_type=sa.Text()), + server_default=sa.text("'[]'::jsonb"), + nullable=False, + ), + sa.Column("limit", sa.Integer(), nullable=True), + sa.Column( + "orderby", + postgresql.JSONB(astext_type=sa.Text()), + server_default=sa.text("'[]'::jsonb"), + nullable=False, + ), + sa.Column("engine_name", sa.String(), nullable=True), + sa.Column("engine_version", sa.String(), nullable=True), + sa.Column( + "other_args", + postgresql.JSONB(astext_type=sa.Text()), + server_default=sa.text("'{}'::jsonb"), + nullable=False, + ), + sa.Column("query", sa.String(), nullable=False), + sa.Column( + "columns", + postgresql.JSONB(astext_type=sa.Text()), + server_default=sa.text("'[]'::jsonb"), + nullable=False, + ), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint( + "query_type", + "nodes", + "parents", + "dimensions", + "filters", + "engine_name", + "engine_version", + "limit", + "orderby", + name="query_request_unique", + postgresql_nulls_not_distinct=True, + ), + ) + + +def downgrade(): + op.drop_table("queryrequest") + op.execute("DROP TYPE querybuildtype") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_05_09_1420-9b1227ff17f4_update_backfill_spec.py b/datajunction-server/datajunction_server/alembic/versions/2024_05_09_1420-9b1227ff17f4_update_backfill_spec.py new file mode 100644 index 000000000..526f80fa1 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_05_09_1420-9b1227ff17f4_update_backfill_spec.py @@ -0,0 +1,42 @@ +"""Update backfill spec + +Revision ID: 9b1227ff17f4 +Revises: de7ec1c82fe0 +Create Date: 2024-05-09 14:20:26.707322+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = "9b1227ff17f4" +down_revision = "de7ec1c82fe0" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("backfill", schema=None) as batch_op: + batch_op.alter_column( + "spec", + existing_type=postgresql.JSON(astext_type=sa.Text()), + nullable=False, + ) + + # Update the backfill `spec` column to be a JSON list of partitions + op.execute("UPDATE backfill SET spec = jsonb_build_array(spec)") + + +def downgrade(): + with op.batch_alter_table("backfill", schema=None) as batch_op: + batch_op.alter_column( + "spec", + existing_type=postgresql.JSON(astext_type=sa.Text()), + nullable=True, + ) + + # This will cause data loss + op.execute("UPDATE backfill SET spec = spec->0") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_05_21_0012-57fc93ef6947_add_query_id_to_queryrequest.py b/datajunction-server/datajunction_server/alembic/versions/2024_05_21_0012-57fc93ef6947_add_query_id_to_queryrequest.py new file mode 100644 index 000000000..4f961d2aa --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_05_21_0012-57fc93ef6947_add_query_id_to_queryrequest.py @@ -0,0 +1,27 @@ +"""Add query_id to queryrequest + +Revision ID: 57fc93ef6947 +Revises: 9b1227ff17f4 +Create Date: 2024-05-21 00:12:11.303914+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "57fc93ef6947" +down_revision = "9b1227ff17f4" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("queryrequest", schema=None) as batch_op: + batch_op.add_column(sa.Column("query_id", sa.String(), nullable=True)) + + +def downgrade(): + with op.batch_alter_table("queryrequest", schema=None) as batch_op: + batch_op.drop_column("query_id") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_06_21_1301-640a814db2d8_add_collection_tables.py b/datajunction-server/datajunction_server/alembic/versions/2024_06_21_1301-640a814db2d8_add_collection_tables.py new file mode 100644 index 000000000..7691ca9a6 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_06_21_1301-640a814db2d8_add_collection_tables.py @@ -0,0 +1,55 @@ +"""Add collection tables + +Revision ID: 640a814db2d8 +Revises: 57fc93ef6947 +Create Date: 2024-06-21 13:01:48.141719+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "640a814db2d8" +down_revision = "57fc93ef6947" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "collection", + sa.Column("id", sa.Integer(), nullable=False), + sa.Column("name", sa.String(), nullable=True), + sa.Column("description", sa.String(), nullable=True), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("deactivated_at", sa.DateTime(timezone=True), nullable=True), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("name"), + ) + op.create_table( + "collectionnodes", + sa.Column("collection_id", sa.Integer(), nullable=False), + sa.Column( + "node_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.ForeignKeyConstraint( + ["collection_id"], + ["collection.id"], + name="fk_collectionnodes_collection_id_collection", + ), + sa.ForeignKeyConstraint( + ["node_id"], + ["node.id"], + name="fk_collectionnodes_node_id_node", + ), + sa.PrimaryKeyConstraint("collection_id", "node_id"), + ) + + +def downgrade(): + op.drop_table("collectionnodes") + op.drop_table("collection") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_07_12_0348-34171c92dd6d_set_user_username_to_be_unique.py b/datajunction-server/datajunction_server/alembic/versions/2024_07_12_0348-34171c92dd6d_set_user_username_to_be_unique.py new file mode 100644 index 000000000..484c054bc --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_07_12_0348-34171c92dd6d_set_user_username_to_be_unique.py @@ -0,0 +1,26 @@ +"""Set User.username to be unique + +Revision ID: 34171c92dd6d +Revises: 640a814db2d8 +Create Date: 2024-07-12 03:48:53.609685+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "34171c92dd6d" +down_revision = "640a814db2d8" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("users", schema=None) as batch_op: + batch_op.create_unique_constraint(None, ["username"]) + + +def downgrade(): + with op.batch_alter_table("users", schema=None) as batch_op: + batch_op.drop_constraint(None, type_="unique") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_08_18_0036-f3c9b40deb6f_add_create_by_to_nodes_node_revisions_.py b/datajunction-server/datajunction_server/alembic/versions/2024_08_18_0036-f3c9b40deb6f_add_create_by_to_nodes_node_revisions_.py new file mode 100644 index 000000000..32e3f5409 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_08_18_0036-f3c9b40deb6f_add_create_by_to_nodes_node_revisions_.py @@ -0,0 +1,95 @@ +"""add create_by to nodes, node revisions, collections, and tags + +Revision ID: f3c9b40deb6f +Revises: 34171c92dd6d +Create Date: 2024-08-18 00:36:51.859475+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "f3c9b40deb6f" +down_revision = "34171c92dd6d" +branch_labels = None +depends_on = None + + +def upgrade(): + """This upgrades adds the created_by_id field to Collection, Node, NodeRevision, and Tag + + Deployments prior to this upgrade will not have easily accessible information for who created + these objects in the past. Therefore, this upgrade backfills all existing objects as created by + the user with ID=1. If creation information can be gathered elsewhere, it's recommended that you + manually backfill the correct created_by_id after the database is upgraded. + """ + with op.batch_alter_table("collection", schema=None) as batch_op: + batch_op.add_column(sa.Column("created_by_id", sa.Integer(), nullable=True)) + batch_op.create_foreign_key(None, "users", ["created_by_id"], ["id"]) + + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.add_column(sa.Column("created_by_id", sa.Integer(), nullable=True)) + batch_op.create_foreign_key(None, "users", ["created_by_id"], ["id"]) + + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.add_column(sa.Column("created_by_id", sa.Integer(), nullable=True)) + batch_op.create_foreign_key(None, "users", ["created_by_id"], ["id"]) + + with op.batch_alter_table("tag", schema=None) as batch_op: + batch_op.add_column(sa.Column("created_by_id", sa.Integer(), nullable=True)) + batch_op.create_foreign_key(None, "users", ["created_by_id"], ["id"]) + + # Backfill created by columns with user id 1 + op.execute("UPDATE collection SET created_by_id = 1 WHERE created_by_id IS NULL") + op.execute("UPDATE node SET created_by_id = 1 WHERE created_by_id IS NULL") + op.execute("UPDATE noderevision SET created_by_id = 1 WHERE created_by_id IS NULL") + op.execute("UPDATE tag SET created_by_id = 1 WHERE created_by_id IS NULL") + + # After the created by column is backfilled, make it required going forward + with op.batch_alter_table("collection", schema=None) as batch_op: + batch_op.alter_column( + "created_by_id", + existing_type=sa.Integer(), + nullable=False, + ) + + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.alter_column( + "created_by_id", + existing_type=sa.Integer(), + nullable=False, + ) + + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.alter_column( + "created_by_id", + existing_type=sa.Integer(), + nullable=False, + ) + + with op.batch_alter_table("tag", schema=None) as batch_op: + batch_op.alter_column( + "created_by_id", + existing_type=sa.Integer(), + nullable=False, + ) + + +def downgrade(): + with op.batch_alter_table("tag", schema=None) as batch_op: + batch_op.drop_constraint(None, type_="foreignkey") + batch_op.drop_column("created_by_id") + + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.drop_constraint(None, type_="foreignkey") + batch_op.drop_column("created_by_id") + + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.drop_constraint(None, type_="foreignkey") + batch_op.drop_column("created_by_id") + + with op.batch_alter_table("collection", schema=None) as batch_op: + batch_op.drop_constraint(None, type_="foreignkey") + batch_op.drop_column("created_by_id") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_10_24_0015-4d6ab789e456_add_a_map_of_links_to_availability_state.py b/datajunction-server/datajunction_server/alembic/versions/2024_10_24_0015-4d6ab789e456_add_a_map_of_links_to_availability_state.py new file mode 100644 index 000000000..94209b25a --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_10_24_0015-4d6ab789e456_add_a_map_of_links_to_availability_state.py @@ -0,0 +1,27 @@ +"""Add a map of links to availability state. + +Revision ID: 4d6ab789e456 +Revises: f3c9b40deb6f +Create Date: 2024-10-24 00:15:17.022358+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "4d6ab789e456" +down_revision = "f3c9b40deb6f" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("availabilitystate", schema=None) as batch_op: + batch_op.add_column(sa.Column("links", sa.JSON(), nullable=True)) + + +def downgrade(): + with op.batch_alter_table("availabilitystate", schema=None) as batch_op: + batch_op.drop_column("links") diff --git a/datajunction-server/datajunction_server/alembic/versions/2024_10_26_0340-70904373eab3_add_indexes_on_history_and_node_tables.py b/datajunction-server/datajunction_server/alembic/versions/2024_10_26_0340-70904373eab3_add_indexes_on_history_and_node_tables.py new file mode 100644 index 000000000..391f641c0 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2024_10_26_0340-70904373eab3_add_indexes_on_history_and_node_tables.py @@ -0,0 +1,55 @@ +"""Add indexes on history and node tables + +Revision ID: 70904373eab3 +Revises: 4d6ab789e456 +Create Date: 2024-10-26 03:40:04.657089+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "70904373eab3" +down_revision = "4d6ab789e456" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("history", schema=None) as batch_op: + batch_op.create_index("ix_history_entity_name", ["entity_name"], unique=False) + + with op.batch_alter_table("history", schema=None) as batch_op: + batch_op.create_index("ix_history_user", ["user"], unique=False) + + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.create_index( + "cursor_index", + ["created_at", "id"], + unique=False, + postgresql_using="btree", + ) + + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.create_index( + "namespace_index", + ["namespace"], + unique=False, + postgresql_using="btree", + postgresql_ops={"identifier": "varchar_pattern_ops"}, + ) + + +def downgrade(): + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.drop_index("namespace_index", postgresql_using="text_pattern_ops") + + with op.batch_alter_table("node", schema=None) as batch_op: + batch_op.drop_index("cursor_index", postgresql_using="btree") + + with op.batch_alter_table("history", schema=None) as batch_op: + batch_op.drop_index("ix_history_user") + + with op.batch_alter_table("history", schema=None) as batch_op: + batch_op.drop_index("ix_history_entity_name") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_01_19_1808-9650f9b728a2_add_query_ast_for_noderevision.py b/datajunction-server/datajunction_server/alembic/versions/2025_01_19_1808-9650f9b728a2_add_query_ast_for_noderevision.py new file mode 100644 index 000000000..1f78c90ca --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_01_19_1808-9650f9b728a2_add_query_ast_for_noderevision.py @@ -0,0 +1,28 @@ +""" +Add query ast for noderevision + +Revision ID: 9650f9b728a2 +Revises: 70904373eab3 +Create Date: 2025-01-19 18:08:25.588956+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "9650f9b728a2" +down_revision = "70904373eab3" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.add_column(sa.Column("query_ast", sa.PickleType(), nullable=True)) + + +def downgrade(): + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.drop_column("query_ast") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_01_24_0020-bec3296d7537_add_custom_metadata_field_to_nodes.py b/datajunction-server/datajunction_server/alembic/versions/2025_01_24_0020-bec3296d7537_add_custom_metadata_field_to_nodes.py new file mode 100644 index 000000000..7c81a6f2b --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_01_24_0020-bec3296d7537_add_custom_metadata_field_to_nodes.py @@ -0,0 +1,27 @@ +"""Add custom metadata field to nodes. + +Revision ID: bec3296d7537 +Revises: 9650f9b728a2 +Create Date: 2025-01-24 00:20:26.333974+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "bec3296d7537" +down_revision = "9650f9b728a2" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.add_column(sa.Column("custom_metadata", sa.JSON(), nullable=True)) + + +def downgrade(): + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.drop_column("custom_metadata") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_02_11_1619-c3d5f327296c_notificationpreferences.py b/datajunction-server/datajunction_server/alembic/versions/2025_02_11_1619-c3d5f327296c_notificationpreferences.py new file mode 100644 index 000000000..50c1a7c90 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_02_11_1619-c3d5f327296c_notificationpreferences.py @@ -0,0 +1,81 @@ +"""notificationpreferences + +Revision ID: c3d5f327296c +Revises: bec3296d7537 +Create Date: 2025-02-11 16:19:35.918790+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "c3d5f327296c" +down_revision = "bec3296d7537" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "notificationpreferences", + sa.Column("id", sa.BigInteger(), nullable=False), + sa.Column( + "entity_type", + sa.Enum( + "ATTRIBUTE", + "AVAILABILITY", + "BACKFILL", + "CATALOG", + "COLUMN_ATTRIBUTE", + "DEPENDENCY", + "ENGINE", + "LINK", + "MATERIALIZATION", + "NAMESPACE", + "NODE", + "PARTITION", + "QUERY", + "TAG", + name="notification_entitytype", + ), + nullable=False, + ), + sa.Column("entity_name", sa.String(), nullable=False), + sa.Column( + "activity_types", + sa.ARRAY( + sa.Enum( + "CREATE", + "DELETE", + "RESTORE", + "UPDATE", + "REFRESH", + "TAG", + "SET_ATTRIBUTE", + "STATUS_CHANGE", + name="notification_activitytype", + ), + ), + nullable=False, + ), + sa.Column( + "user_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column("alert_types", sa.ARRAY(sa.String()), nullable=False), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.ForeignKeyConstraint( + ["user_id"], + ["users.id"], + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("entity_name", "entity_type", name="uix_entity_type_name"), + ) + + +def downgrade(): + op.drop_table("notificationpreferences") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_03_14_1513-ae9eba981a2d_add_index_on_display_name.py b/datajunction-server/datajunction_server/alembic/versions/2025_03_14_1513-ae9eba981a2d_add_index_on_display_name.py new file mode 100644 index 000000000..466fb37fd --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_03_14_1513-ae9eba981a2d_add_index_on_display_name.py @@ -0,0 +1,38 @@ +""" +Add index on display name + +Revision ID: ae9eba981a2d +Revises: c3d5f327296c +Create Date: 2025-03-14 15:13:06.383265+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "ae9eba981a2d" +down_revision = "c3d5f327296c" +branch_labels = None +depends_on = None + + +def upgrade(): + op.execute("CREATE EXTENSION IF NOT EXISTS pg_trgm;") + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.create_index( + "ix_noderevision_display_name", + ["display_name"], + unique=False, + postgresql_using="gin", + postgresql_ops={"display_name": "gin_trgm_ops"}, + ) + + +def downgrade(): + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.drop_index( + "ix_noderevision_display_name", + postgresql_using="gin", + postgresql_ops={"display_name": "gin_trgm_ops"}, + ) + op.execute("DROP EXTENSION IF EXISTS pg_trgm;") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_03_14_2304-135fa5833fed_added_column_description.py b/datajunction-server/datajunction_server/alembic/versions/2025_03_14_2304-135fa5833fed_added_column_description.py new file mode 100644 index 000000000..34d611d8e --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_03_14_2304-135fa5833fed_added_column_description.py @@ -0,0 +1,28 @@ +"""Added column description + +Revision ID: 135fa5833fed +Revises: ae9eba981a2d +Create Date: 2025-03-14 23:04:39.248333+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + + +# revision identifiers, used by Alembic. +revision = "135fa5833fed" +down_revision = "ae9eba981a2d" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("column", schema=None) as batch_op: + batch_op.add_column(sa.Column("description", sa.String(), nullable=True)) + + +def downgrade(): + with op.batch_alter_table("column", schema=None) as batch_op: + batch_op.drop_column("description") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_04_05_2149-a2d7ea04cf79_add_formatting_metric_metadata.py b/datajunction-server/datajunction_server/alembic/versions/2025_04_05_2149-a2d7ea04cf79_add_formatting_metric_metadata.py new file mode 100644 index 000000000..d5cfdeec3 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_04_05_2149-a2d7ea04cf79_add_formatting_metric_metadata.py @@ -0,0 +1,52 @@ +""" +Add formatting metric metadata + +Revision ID: a2d7ea04cf79 +Revises: 135fa5833fed +Create Date: 2025-04-05 21:49:34.079909+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "a2d7ea04cf79" +down_revision = "135fa5833fed" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("metricmetadata", schema=None) as batch_op: + batch_op.add_column( + sa.Column( + "significant_digits", + sa.Integer(), + nullable=True, + comment="Number of significant digits to display (if set).", + ), + ) + batch_op.add_column( + sa.Column( + "min_decimal_exponent", + sa.Integer(), + nullable=True, + comment="Minimum exponent to still use decimal formatting; below this, use scientific notation.", + ), + ) + batch_op.add_column( + sa.Column( + "max_decimal_exponent", + sa.Integer(), + nullable=True, + comment="Maximum exponent to still use decimal formatting; above this, use scientific notation.", + ), + ) + + +def downgrade(): + with op.batch_alter_table("metricmetadata", schema=None) as batch_op: + batch_op.drop_column("max_decimal_exponent") + batch_op.drop_column("min_decimal_exponent") + batch_op.drop_column("significant_digits") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_04_24_1810-51547dcccb10_fix_unique_constraint.py b/datajunction-server/datajunction_server/alembic/versions/2025_04_24_1810-51547dcccb10_fix_unique_constraint.py new file mode 100644 index 000000000..28b3ea03b --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_04_24_1810-51547dcccb10_fix_unique_constraint.py @@ -0,0 +1,35 @@ +"""fix unique constraint + +Revision ID: 51547dcccb10 +Revises: a2d7ea04cf79 +Create Date: 2025-04-24 18:10:33.759611+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + + +# revision identifiers, used by Alembic. +revision = "51547dcccb10" +down_revision = "a2d7ea04cf79" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("notificationpreferences", schema=None) as batch_op: + batch_op.drop_constraint("uix_entity_type_name", type_="unique") + batch_op.create_unique_constraint( + "uix_user_entity_type_name", + ["user_id", "entity_type", "entity_name"], + ) + + +def downgrade(): + with op.batch_alter_table("notificationpreferences", schema=None) as batch_op: + batch_op.drop_constraint("uix_user_entity_type_name", type_="unique") + batch_op.create_unique_constraint( + "uix_entity_type_name", + ["entity_name", "entity_type"], + ) diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_05_08_0601-ee0eb65f743b_convert_dialect.py b/datajunction-server/datajunction_server/alembic/versions/2025_05_08_0601-ee0eb65f743b_convert_dialect.py new file mode 100644 index 000000000..bc9243711 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_05_08_0601-ee0eb65f743b_convert_dialect.py @@ -0,0 +1,38 @@ +""" +Convert dialect + +Revision ID: ee0eb65f743b +Revises: 51547dcccb10 +Create Date: 2025-05-08 06:01:38.039079+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = "ee0eb65f743b" +down_revision = "51547dcccb10" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("engine", schema=None) as batch_op: + batch_op.alter_column( + "dialect", + existing_type=postgresql.ENUM("SPARK", "TRINO", "DRUID", name="dialect"), + type_=sa.String(), + existing_nullable=True, + ) + + +def downgrade(): + with op.batch_alter_table("engine", schema=None) as batch_op: + batch_op.alter_column( + "dialect", + existing_type=sa.String(), + type_=postgresql.ENUM("SPARK", "TRINO", "DRUID", name="dialect"), + existing_nullable=True, + ) diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_06_02_2241-5a8eb7b2a9c6_add_version_field_to_history_table.py b/datajunction-server/datajunction_server/alembic/versions/2025_06_02_2241-5a8eb7b2a9c6_add_version_field_to_history_table.py new file mode 100644 index 000000000..55265d8a9 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_06_02_2241-5a8eb7b2a9c6_add_version_field_to_history_table.py @@ -0,0 +1,34 @@ +"""Add version field to History table. + +Revision ID: 5a8eb7b2a9c6 +Revises: ee0eb65f743b +Create Date: 2025-06-02 22:41:19.560144+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + + +# revision identifiers, used by Alembic. +revision = "5a8eb7b2a9c6" +down_revision = "ee0eb65f743b" +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("history", schema=None) as batch_op: + batch_op.add_column(sa.Column("version", sa.String(), nullable=True)) + + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("history", schema=None) as batch_op: + batch_op.drop_column("version") + + # ### end Alembic commands ### diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_06_23_0727-395952b010b0_add_missing_indexes.py b/datajunction-server/datajunction_server/alembic/versions/2025_06_23_0727-395952b010b0_add_missing_indexes.py new file mode 100644 index 000000000..07ec4cc07 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_06_23_0727-395952b010b0_add_missing_indexes.py @@ -0,0 +1,65 @@ +""" +Add indexes to speed up recursive CTE queries + +Revision ID: 395952b010b0 +Revises: 5a8eb7b2a9c6 +Create Date: 2025-06-23 07:27:22.697566+00:00 + +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "395952b010b0" +down_revision = "5a8eb7b2a9c6" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("cube", schema=None) as batch_op: + batch_op.create_index("idx_cube_cube_id", ["cube_id"], unique=False) + + with op.batch_alter_table("dimensionlink", schema=None) as batch_op: + batch_op.create_index( + "idx_dimensionlink_dimension_id", + ["dimension_id"], + unique=False, + ) + batch_op.create_index( + "idx_dimensionlink_node_revision_id", + ["node_revision_id"], + unique=False, + ) + + with op.batch_alter_table("nodecolumns", schema=None) as batch_op: + batch_op.create_index("idx_nodecolumns_node_id", ["node_id"], unique=False) + + with op.batch_alter_table("noderelationship", schema=None) as batch_op: + batch_op.create_index( + "idx_noderelationship_child_id", + ["child_id"], + unique=False, + ) + batch_op.create_index( + "idx_noderelationship_parent_id", + ["parent_id"], + unique=False, + ) + + +def downgrade(): + with op.batch_alter_table("noderelationship", schema=None) as batch_op: + batch_op.drop_index("idx_noderelationship_parent_id") + batch_op.drop_index("idx_noderelationship_child_id") + + with op.batch_alter_table("nodecolumns", schema=None) as batch_op: + batch_op.drop_index("idx_nodecolumns_node_id") + + with op.batch_alter_table("dimensionlink", schema=None) as batch_op: + batch_op.drop_index("idx_dimensionlink_node_revision_id") + batch_op.drop_index("idx_dimensionlink_dimension_id") + + with op.batch_alter_table("cube", schema=None) as batch_op: + batch_op.drop_index("idx_cube_cube_id") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_06_28_1606-1c27711f42cd_add_node_owner.py b/datajunction-server/datajunction_server/alembic/versions/2025_06_28_1606-1c27711f42cd_add_node_owner.py new file mode 100644 index 000000000..1dc56b6a2 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_06_28_1606-1c27711f42cd_add_node_owner.py @@ -0,0 +1,64 @@ +""" +Add node owner + +Revision ID: 1c27711f42cd +Revises: 395952b010b0 +Create Date: 2025-06-28 16:06:33.834754+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "1c27711f42cd" +down_revision = "395952b010b0" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "node_owners", + sa.Column( + "node_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "user_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column("ownership_type", sa.String(length=256), nullable=True), + sa.ForeignKeyConstraint( + ["node_id"], + ["node.id"], + name="fk_node_owners_node_id", + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["users.id"], + name="fk_node_owners_user_id", + ), + sa.PrimaryKeyConstraint("node_id", "user_id"), + ) + with op.batch_alter_table("node_owners", schema=None) as batch_op: + batch_op.create_index("idx_node_owners_node_id", ["node_id"], unique=False) + batch_op.create_index("idx_node_owners_user_id", ["user_id"], unique=False) + + # Autopopulate node_owners from node.created_by_id + op.execute(""" + INSERT INTO node_owners (node_id, user_id) + SELECT id, created_by_id + FROM node + WHERE created_by_id IS NOT NULL + """) + + +def downgrade(): + with op.batch_alter_table("node_owners", schema=None) as batch_op: + batch_op.drop_index("idx_node_owners_user_id") + batch_op.drop_index("idx_node_owners_node_id") + + op.drop_table("node_owners") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_07_06_0746-634fdac051c3_unique_contraints_engine_and_catalog.py b/datajunction-server/datajunction_server/alembic/versions/2025_07_06_0746-634fdac051c3_unique_contraints_engine_and_catalog.py new file mode 100644 index 000000000..3c0f153fe --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_07_06_0746-634fdac051c3_unique_contraints_engine_and_catalog.py @@ -0,0 +1,30 @@ +""" +Add unique contraints on the engine name + version and catalog name + +Revision ID: 634fdac051c3 +Revises: 1c27711f42cd +Create Date: 2025-07-06 07:46:50.840221+00:00 +""" + +from alembic import op + +revision = "634fdac051c3" +down_revision = "1c27711f42cd" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("catalog", schema=None) as batch_op: + batch_op.create_unique_constraint("uq_catalog_name", ["name"]) + + with op.batch_alter_table("engine", schema=None) as batch_op: + batch_op.create_unique_constraint("uq_engine_name_version", ["name", "version"]) + + +def downgrade(): + with op.batch_alter_table("engine", schema=None) as batch_op: + batch_op.drop_constraint("uq_engine_name_version", type_="unique") + + with op.batch_alter_table("catalog", schema=None) as batch_op: + batch_op.drop_constraint("uq_catalog_name", type_="unique") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_08_02_1543-8eab64955a49_add_concrete_measures_for_node_revisions.py b/datajunction-server/datajunction_server/alembic/versions/2025_08_02_1543-8eab64955a49_add_concrete_measures_for_node_revisions.py new file mode 100644 index 000000000..189483493 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_08_02_1543-8eab64955a49_add_concrete_measures_for_node_revisions.py @@ -0,0 +1,75 @@ +""" +Add frozen measures for node revisions + +Revision ID: 8eab64955a49 +Revises: 634fdac051c3 +Create Date: 2025-08-02 15:43:20.001874+00:00 +""" + +import sqlalchemy as sa +from alembic import op + +from datajunction_server.database.measure import MeasureAggregationRuleType +from datajunction_server.utils import get_settings + +settings = get_settings() + +# revision identifiers, used by Alembic. +revision = "8eab64955a49" +down_revision = "634fdac051c3" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "frozen_measures", + sa.Column("id", sa.BigInteger(), nullable=False), + sa.Column("name", sa.String(), nullable=False), + sa.Column( + "upstream_revision_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column("expression", sa.String(), nullable=False), + sa.Column("aggregation", sa.String(), nullable=False), + sa.Column("rule", MeasureAggregationRuleType, nullable=False), + sa.ForeignKeyConstraint( + ["upstream_revision_id"], + ["noderevision.id"], + name="fk_frozen_measure_upstream_revision_id_noderevision", + ondelete="CASCADE", + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("name"), + ) + op.create_table( + "node_revision_frozen_measures", + sa.Column("id", sa.BigInteger(), nullable=False), + sa.Column( + "node_revision_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column("frozen_measure_id", sa.BigInteger(), nullable=False), + sa.ForeignKeyConstraint( + ["frozen_measure_id"], + ["frozen_measures.id"], + ondelete="CASCADE", + ), + sa.ForeignKeyConstraint( + ["node_revision_id"], + ["noderevision.id"], + ondelete="CASCADE", + ), + sa.PrimaryKeyConstraint("id"), + ) + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.add_column(sa.Column("derived_expression", sa.String(), nullable=True)) + + +def downgrade(): + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.drop_column("derived_expression") + op.drop_table("node_revision_frozen_measures") + op.drop_table("frozen_measures") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_09_02_0102-5b00137c69f9_add_service_accounts.py b/datajunction-server/datajunction_server/alembic/versions/2025_09_02_0102-5b00137c69f9_add_service_accounts.py new file mode 100644 index 000000000..f8c94f5ea --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_09_02_0102-5b00137c69f9_add_service_accounts.py @@ -0,0 +1,68 @@ +""" +Add service accounts columns to users table + +Revision ID: 5b00137c69f9 +Revises: 8eab64955a49 +Create Date: 2025-09-02 01:02:24.909174+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + + +# revision identifiers, used by Alembic. +revision = "5b00137c69f9" +down_revision = "8eab64955a49" +branch_labels = None +depends_on = None + + +def upgrade(): + principalkind = sa.Enum("USER", "SERVICE_ACCOUNT", name="principalkind") + principalkind.create( + op.get_bind(), + checkfirst=True, + ) + + with op.batch_alter_table("users", schema=None) as batch_op: + batch_op.add_column(sa.Column("kind", principalkind, nullable=True)) + batch_op.add_column( + sa.Column( + "created_by_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=True, + ), + ) + batch_op.add_column( + sa.Column("created_at", sa.DateTime(timezone=True), nullable=True), + ) + batch_op.create_foreign_key( + "fk_users_created_by_id_users_id", + "users", + ["created_by_id"], + ["id"], + ) + + # Backfill existing users to not be service accounts + op.execute( + "UPDATE users SET kind = 'USER' WHERE kind IS NULL", + ) + + # After the `kind`` column is backfilled, make it required going forward + with op.batch_alter_table("users", schema=None) as batch_op: + batch_op.alter_column("kind", nullable=False) + + +def downgrade(): + with op.batch_alter_table("users", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_users_created_by_id_users_id", + type_="foreignkey", + ) + batch_op.drop_column("created_at") + batch_op.drop_column("created_by_id") + batch_op.drop_column("kind") + + principalkind = sa.Enum("USER", "SERVICE_ACCOUNT", name="principalkind") + principalkind.drop(op.get_bind(), checkfirst=True) diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_09_12_0555-759c4d50cb8d_add_cascade_delete.py b/datajunction-server/datajunction_server/alembic/versions/2025_09_12_0555-759c4d50cb8d_add_cascade_delete.py new file mode 100644 index 000000000..6592e26cf --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_09_12_0555-759c4d50cb8d_add_cascade_delete.py @@ -0,0 +1,224 @@ +""" +Add cascade delete + +Revision ID: 759c4d50cb8d +Revises: b6398ba852b3 +Create Date: 2025-09-12 05:55:04.580692+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "759c4d50cb8d" +down_revision = "5b00137c69f9" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("cube", schema=None) as batch_op: + batch_op.drop_constraint("fk_cube_cube_element_id_column", type_="foreignkey") + batch_op.drop_constraint("fk_cube_cube_id_noderevision", type_="foreignkey") + batch_op.create_foreign_key( + "fk_cube_cube_element_id_column", + "column", + ["cube_element_id"], + ["id"], + ondelete="CASCADE", + ) + batch_op.create_foreign_key( + "fk_cube_cube_id_noderevision", + "noderevision", + ["cube_id"], + ["id"], + ondelete="CASCADE", + ) + + with op.batch_alter_table("metric_required_dimensions", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_metric_required_dimensions_metric_id_noderevision", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_metric_required_dimensions_bound_dimension_id_column", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_metric_required_dimensions_bound_dimension_id_column", + "column", + ["bound_dimension_id"], + ["id"], + ondelete="CASCADE", + ) + batch_op.create_foreign_key( + "fk_metric_required_dimensions_metric_id_noderevision", + "noderevision", + ["metric_id"], + ["id"], + ondelete="CASCADE", + ) + + with op.batch_alter_table("node_owners", schema=None) as batch_op: + batch_op.drop_constraint("fk_node_owners_node_id", type_="foreignkey") + batch_op.create_foreign_key( + "fk_node_owners_node_id", + "node", + ["node_id"], + ["id"], + ondelete="CASCADE", + ) + + with op.batch_alter_table("noderelationship", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_noderelationship_parent_id_node", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_noderelationship_child_id_noderevision", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_noderelationship_parent_id_node", + "node", + ["parent_id"], + ["id"], + ondelete="CASCADE", + ) + batch_op.create_foreign_key( + "fk_noderelationship_child_id_noderevision", + "noderevision", + ["child_id"], + ["id"], + ondelete="CASCADE", + ) + + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.drop_constraint("fk_noderevision_node_id_node", type_="foreignkey") + batch_op.create_foreign_key( + "fk_noderevision_node_id_node", + "node", + ["node_id"], + ["id"], + ondelete="CASCADE", + ) + + with op.batch_alter_table("nodecolumns", schema=None) as batch_op: + batch_op.drop_constraint("fk_nodecolumns_column_id_column", type_="foreignkey") + batch_op.drop_constraint( + "fk_nodecolumns_node_id_noderevision", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_nodecolumns_column_id_column", + "column", + ["column_id"], + ["id"], + ondelete="CASCADE", + ) + batch_op.create_foreign_key( + "fk_nodecolumns_node_id_noderevision", + "noderevision", + ["node_id"], + ["id"], + ondelete="CASCADE", + ) + + +def downgrade(): + with op.batch_alter_table("noderevision", schema=None) as batch_op: + batch_op.drop_constraint("fk_noderevision_node_id_node", type_="foreignkey") + batch_op.create_foreign_key( + "fk_noderevision_node_id_node", + "node", + ["node_id"], + ["id"], + ) + + with op.batch_alter_table("noderelationship", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_noderelationship_child_id_noderevision", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_noderelationship_parent_id_node", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_noderelationship_child_id_noderevision", + "noderevision", + ["child_id"], + ["id"], + ) + batch_op.create_foreign_key( + "fk_noderelationship_parent_id_node", + "node", + ["parent_id"], + ["id"], + ) + + with op.batch_alter_table("node_owners", schema=None) as batch_op: + batch_op.drop_constraint("fk_node_owners_node_id", type_="foreignkey") + batch_op.create_foreign_key( + "fk_node_owners_node_id", + "node", + ["node_id"], + ["id"], + ) + + with op.batch_alter_table("metric_required_dimensions", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_metric_required_dimensions_metric_id_noderevision", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_metric_required_dimensions_bound_dimension_id_column", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_metric_required_dimensions_bound_dimension_id_column", + "column", + ["bound_dimension_id"], + ["id"], + ) + batch_op.create_foreign_key( + "fk_metric_required_dimensions_metric_id_noderevision", + "noderevision", + ["metric_id"], + ["id"], + ) + + with op.batch_alter_table("cube", schema=None) as batch_op: + batch_op.drop_constraint("fk_cube_cube_id_noderevision", type_="foreignkey") + batch_op.drop_constraint("fk_cube_cube_element_id_column", type_="foreignkey") + batch_op.create_foreign_key( + "fk_cube_cube_id_noderevision", + "noderevision", + ["cube_id"], + ["id"], + ) + batch_op.create_foreign_key( + "fk_cube_cube_element_id_column", + "column", + ["cube_element_id"], + ["id"], + ) + + with op.batch_alter_table("nodecolumns", schema=None) as batch_op: + batch_op.drop_constraint("fk_nodecolumns_column_id_column", type_="foreignkey") + batch_op.drop_constraint( + "fk_nodecolumns_node_id_noderevision", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_nodecolumns_column_id_column", + "column", + ["column_id"], + ["id"], + ) + batch_op.create_foreign_key( + "fk_nodecolumns_node_id_noderevision", + "noderevision", + ["node_id"], + ["id"], + ) diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_09_16_1513-b55add7e1ebc_add_cascade_delete_on_tag_node_and_.py b/datajunction-server/datajunction_server/alembic/versions/2025_09_16_1513-b55add7e1ebc_add_cascade_delete_on_tag_node_and_.py new file mode 100644 index 000000000..8d727481c --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_09_16_1513-b55add7e1ebc_add_cascade_delete_on_tag_node_and_.py @@ -0,0 +1,111 @@ +""" +Add cascade delete on tag-node and column-attr foreign keys +Revision ID: b55add7e1ebc +Revises: 759c4d50cb8d +Create Date: 2025-09-16 15:13:39.963297+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "b55add7e1ebc" +down_revision = "759c4d50cb8d" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("columnattribute", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_columnattribute_attribute_type_id_attributetype", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_columnattribute_column_id_column", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_columnattribute_attribute_type_id_attributetype", + "attributetype", + ["attribute_type_id"], + ["id"], + ondelete="CASCADE", + ) + batch_op.create_foreign_key( + "fk_columnattribute_column_id_column", + "column", + ["column_id"], + ["id"], + ondelete="CASCADE", + ) + + with op.batch_alter_table("tagnoderelationship", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_tagnoderelationship_node_id_node", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_tagnoderelationship_tag_id_tag", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_tagnoderelationship_tag_id_tag", + "tag", + ["tag_id"], + ["id"], + ondelete="CASCADE", + ) + batch_op.create_foreign_key( + "fk_tagnoderelationship_node_id_node", + "node", + ["node_id"], + ["id"], + ondelete="CASCADE", + ) + + +def downgrade(): + with op.batch_alter_table("tagnoderelationship", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_tagnoderelationship_node_id_node", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_tagnoderelationship_tag_id_tag", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_tagnoderelationship_tag_id_tag", + "tag", + ["tag_id"], + ["id"], + ) + batch_op.create_foreign_key( + "fk_tagnoderelationship_node_id_node", + "node", + ["node_id"], + ["id"], + ) + + with op.batch_alter_table("columnattribute", schema=None) as batch_op: + batch_op.drop_constraint( + "fk_columnattribute_column_id_column", + type_="foreignkey", + ) + batch_op.drop_constraint( + "fk_columnattribute_attribute_type_id_attributetype", + type_="foreignkey", + ) + batch_op.create_foreign_key( + "fk_columnattribute_column_id_column", + "column", + ["column_id"], + ["id"], + ) + batch_op.create_foreign_key( + "fk_columnattribute_attribute_type_id_attributetype", + "attributetype", + ["attribute_type_id"], + ["id"], + ) diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_09_17_2107-b6398ba852b3_deployments.py b/datajunction-server/datajunction_server/alembic/versions/2025_09_17_2107-b6398ba852b3_deployments.py new file mode 100644 index 000000000..4bf88ea3b --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_09_17_2107-b6398ba852b3_deployments.py @@ -0,0 +1,49 @@ +""" +Deployments + +Revision ID: b6398ba852b3 +Revises: b55add7e1ebc +Create Date: 2025-09-12 00:07:30.531304+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op +import sqlalchemy_utils + +# revision identifiers, used by Alembic. +revision = "b6398ba852b3" +down_revision = "b55add7e1ebc" +branch_labels = None +depends_on = None + + +def upgrade(): + op.create_table( + "deployments", + sa.Column("uuid", sqlalchemy_utils.types.uuid.UUIDType(), nullable=False), + sa.Column("namespace", sa.String(), nullable=False), + sa.Column( + "status", + sa.Enum("PENDING", "RUNNING", "FAILED", "SUCCESS", name="deploymentstatus"), + nullable=False, + ), + sa.Column("spec", sa.JSON(), nullable=False), + sa.Column("results", sa.JSON(), nullable=False), + sa.Column( + "created_by_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False), + sa.ForeignKeyConstraint( + ["created_by_id"], + ["users.id"], + ), + sa.PrimaryKeyConstraint("uuid"), + ) + + +def downgrade(): + op.drop_table("deployments") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_09_25_1615-2282ef218abf_switch_to_many_to_one_relationship_.py b/datajunction-server/datajunction_server/alembic/versions/2025_09_25_1615-2282ef218abf_switch_to_many_to_one_relationship_.py new file mode 100644 index 000000000..7f4732b07 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_09_25_1615-2282ef218abf_switch_to_many_to_one_relationship_.py @@ -0,0 +1,65 @@ +""" +Switch to many-to-one relationship between columns and node revisions + +Revision ID: 2282ef218abf +Revises: b6398ba852b3 +Create Date: 2025-09-25 16:15:36.772156+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "2282ef218abf" +down_revision = "b6398ba852b3" +branch_labels = None +depends_on = None + + +def upgrade(): + # Add the new column + with op.batch_alter_table("column", schema=None) as batch_op: + batch_op.add_column( + sa.Column( + "node_revision_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=True, + ), + ) + batch_op.create_foreign_key( + "fk_column_node_revision_id", + "noderevision", + ["node_revision_id"], + ["id"], + ondelete="CASCADE", + ) + + # Populate the column with the most recent NodeRevision per column + op.execute(""" + UPDATE "column" c + SET node_revision_id = sub.node_id + FROM ( + SELECT DISTINCT ON (nc.column_id) nc.column_id, + nr.id AS node_id + FROM nodecolumns nc + JOIN noderevision nr ON nc.node_id = nr.id + ORDER BY nc.column_id, nr.updated_at DESC + ) sub + WHERE c.id = sub.column_id; + """) + + # Remove any orphaned columns that do not have a node_revision_id + op.execute(""" + DELETE FROM "column" WHERE node_revision_id IS NULL; + """) + + # Make it non-nullable + with op.batch_alter_table("column") as batch_op: + batch_op.alter_column("node_revision_id", nullable=False) + + +def downgrade(): + with op.batch_alter_table("column", schema=None) as batch_op: + batch_op.drop_constraint("fk_column_node_revision_id", type_="foreignkey") + batch_op.drop_column("node_revision_id") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_09_26_1740-be76e22dd71a_drop_nodecolumns_table.py b/datajunction-server/datajunction_server/alembic/versions/2025_09_26_1740-be76e22dd71a_drop_nodecolumns_table.py new file mode 100644 index 000000000..ed9d707a3 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_09_26_1740-be76e22dd71a_drop_nodecolumns_table.py @@ -0,0 +1,47 @@ +""" +Drop nodecolumns table + +Revision ID: be76e22dd71a +Revises: 2282ef218abf +Create Date: 2025-09-26 17:40:27.501041+00:00 +""" + +import sqlalchemy as sa +from alembic import op + + +# revision identifiers, used by Alembic. +revision = "be76e22dd71a" +down_revision = "2282ef218abf" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("nodecolumns", schema=None) as batch_op: + batch_op.drop_index("idx_nodecolumns_node_id") + + op.drop_table("nodecolumns") + + +def downgrade(): + op.create_table( + "nodecolumns", + sa.Column("node_id", sa.BIGINT(), autoincrement=False, nullable=False), + sa.Column("column_id", sa.BIGINT(), autoincrement=False, nullable=False), + sa.ForeignKeyConstraint( + ["column_id"], + ["column.id"], + name="fk_nodecolumns_column_id_column", + ondelete="CASCADE", + ), + sa.ForeignKeyConstraint( + ["node_id"], + ["noderevision.id"], + name="fk_nodecolumns_node_id_noderevision", + ondelete="CASCADE", + ), + sa.PrimaryKeyConstraint("node_id", "column_id", name="pk_nodecolumns"), + ) + with op.batch_alter_table("nodecolumns", schema=None) as batch_op: + batch_op.create_index("idx_nodecolumns_node_id", ["node_id"], unique=False) diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_11_22_2254-95732205ad12_add_hierarchies_tables.py b/datajunction-server/datajunction_server/alembic/versions/2025_11_22_2254-95732205ad12_add_hierarchies_tables.py new file mode 100644 index 000000000..695cd2a2f --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_11_22_2254-95732205ad12_add_hierarchies_tables.py @@ -0,0 +1,74 @@ +"""Add hierarchies tables + +Revision ID: 95732205ad12 +Revises: be76e22dd71a +Create Date: 2025-11-22 22:54:00.000000+00:00 +""" + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "95732205ad12" +down_revision = "be76e22dd71a" +branch_labels = None +depends_on = None + + +def upgrade(): + # Create hierarchies table + op.create_table( + "hierarchies", + sa.Column( + "id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column("name", sa.String(), nullable=False), + sa.Column("display_name", sa.String(), nullable=True), + sa.Column("description", sa.Text(), nullable=True), + sa.Column("created_by_id", sa.Integer(), nullable=False), + sa.Column("created_at", sa.DateTime(timezone=True), nullable=False), + sa.ForeignKeyConstraint( + ["created_by_id"], + ["users.id"], + name="fk_hierarchies_created_by_id_users", + ), + sa.PrimaryKeyConstraint("id", name="pk_hierarchies"), + sa.UniqueConstraint("name", name="uq_hierarchies_name"), + ) + + # Create hierarchy_levels table + op.create_table( + "hierarchy_levels", + sa.Column("id", sa.BigInteger(), nullable=False), + sa.Column("hierarchy_id", sa.BigInteger(), nullable=False), + sa.Column("name", sa.String(), nullable=False), + sa.Column("dimension_node_id", sa.BigInteger(), nullable=False), + sa.Column("level_order", sa.Integer(), nullable=False), + sa.Column("grain_columns", sa.JSON(), nullable=True), + sa.ForeignKeyConstraint( + ["hierarchy_id"], + ["hierarchies.id"], + name="fk_hierarchy_levels_hierarchy_id_hierarchies", + ), + sa.ForeignKeyConstraint( + ["dimension_node_id"], + ["node.id"], + name="fk_hierarchy_levels_dimension_node_id_node", + ), + sa.PrimaryKeyConstraint("id", name="pk_hierarchy_levels"), + sa.UniqueConstraint( + "hierarchy_id", + "name", + name="hierarchy_levels_hierarchy_id_name_key", + ), + ) + + +def downgrade(): + # Drop hierarchy_levels first (has foreign key to hierarchies) + op.drop_table("hierarchy_levels") + + # Drop hierarchies table + op.drop_table("hierarchies") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_11_25_1500-a1b2c3d4e5f6_add_groups_support.py b/datajunction-server/datajunction_server/alembic/versions/2025_11_25_1500-a1b2c3d4e5f6_add_groups_support.py new file mode 100644 index 000000000..19ec97ec1 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_11_25_1500-a1b2c3d4e5f6_add_groups_support.py @@ -0,0 +1,81 @@ +""" +Add groups support + +Revision ID: a1b2c3d4e5f6 +Revises: be76e22dd71a +Create Date: 2025-11-25 15:00:00.000000+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + + +# revision identifiers, used by Alembic. +revision = "a1b2c3d4e5f6" +down_revision = "95732205ad12" +branch_labels = None +depends_on = None + + +def upgrade(): + op.execute("ALTER TYPE principalkind ADD VALUE 'GROUP'") + + op.create_table( + "group_members", + sa.Column( + "group_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "member_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "added_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.text("NOW()"), + ), + sa.ForeignKeyConstraint( + ["group_id"], + ["users.id"], + name="fk_group_members_group_id", + ondelete="CASCADE", + ), + sa.ForeignKeyConstraint( + ["member_id"], + ["users.id"], + name="fk_group_members_member_id", + ondelete="CASCADE", + ), + sa.PrimaryKeyConstraint("group_id", "member_id"), + sa.CheckConstraint( + "group_id != member_id", + name="chk_no_self_membership", + ), + ) + + op.create_index( + "idx_group_members_group_id", + "group_members", + ["group_id"], + ) + op.create_index( + "idx_group_members_member_id", + "group_members", + ["member_id"], + ) + + +def downgrade(): + op.drop_index("idx_group_members_member_id", table_name="group_members") + op.drop_index("idx_group_members_group_id", table_name="group_members") + + op.drop_table("group_members") + + # Postgres doesn't support removing enum values easily + # Users will need to manually handle enum cleanup if needed + # Or recreate the enum without GROUP value diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_11_26_0000-1a2b3c4d5e6f_add_rbac_tables.py b/datajunction-server/datajunction_server/alembic/versions/2025_11_26_0000-1a2b3c4d5e6f_add_rbac_tables.py new file mode 100644 index 000000000..a010f08c4 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_11_26_0000-1a2b3c4d5e6f_add_rbac_tables.py @@ -0,0 +1,197 @@ +""" +Add RBAC tables + +Revision ID: 1a2b3c4d5e6f +Revises: a1b2c3d4e5f6 +Create Date: 2025-11-26 00:00:00.000000+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + + +# revision identifiers, used by Alembic. +revision = "1a2b3c4d5e6f" +down_revision = ( + "a1b2c3d4e5f6", + "95732205ad12", +) # Merge groups and hierarchies branches +branch_labels = None +depends_on = None + + +def upgrade(): + # Define enums for use in table definitions + # Note: The enums will be created automatically by SQLAlchemy when used in columns + action_enum = sa.Enum( + "read", + "write", + "execute", + "delete", + "manage", + name="resourceaction", + ) + resource_type_enum = sa.Enum("node", "namespace", name="resourcetype") + + # Create roles table + op.create_table( + "roles", + sa.Column( + "id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column("name", sa.String(255), nullable=False), + sa.Column("description", sa.Text(), nullable=True), + sa.Column( + "created_by_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "created_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.text("NOW()"), + ), + sa.Column( + "deleted_at", + sa.DateTime(timezone=True), + nullable=True, + ), + sa.ForeignKeyConstraint( + ["created_by_id"], + ["users.id"], + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("name"), + ) + op.create_index("idx_roles_name", "roles", ["name"]) + op.create_index("idx_roles_created_by", "roles", ["created_by_id"]) + op.create_index("idx_roles_deleted_at", "roles", ["deleted_at"]) + + # Create role_scopes table + op.create_table( + "role_scopes", + sa.Column( + "id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "role_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column("action", action_enum, nullable=False), + sa.Column("scope_type", resource_type_enum, nullable=False), + sa.Column("scope_value", sa.String(500), nullable=False), + sa.ForeignKeyConstraint( + ["role_id"], + ["roles.id"], + ondelete="CASCADE", + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index("idx_role_scopes_role_id", "role_scopes", ["role_id"]) + op.create_index( + "idx_unique_role_scope", + "role_scopes", + ["role_id", "action", "scope_type", "scope_value"], + unique=True, + ) + + # Create role_assignments table + op.create_table( + "role_assignments", + sa.Column( + "id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "principal_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "role_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "granted_by_id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + ), + sa.Column( + "granted_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.text("NOW()"), + ), + sa.Column( + "expires_at", + sa.DateTime(timezone=True), + nullable=True, + ), + sa.ForeignKeyConstraint( + ["principal_id"], + ["users.id"], + ondelete="CASCADE", + ), + sa.ForeignKeyConstraint( + ["role_id"], + ["roles.id"], + ondelete="CASCADE", + ), + sa.ForeignKeyConstraint( + ["granted_by_id"], + ["users.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + "idx_role_assignments_principal", + "role_assignments", + ["principal_id"], + ) + op.create_index("idx_role_assignments_role", "role_assignments", ["role_id"]) + op.create_index( + "idx_unique_role_assignment", + "role_assignments", + ["principal_id", "role_id"], + unique=True, + ) + + +def downgrade(): + # Drop tables in reverse order + op.drop_index("idx_unique_role_assignment", table_name="role_assignments") + op.drop_index("idx_role_assignments_role", table_name="role_assignments") + op.drop_index("idx_role_assignments_principal", table_name="role_assignments") + op.drop_table("role_assignments") + + op.drop_index("idx_unique_role_scope", table_name="role_scopes") + op.drop_index("idx_role_scopes_role_id", table_name="role_scopes") + op.drop_table("role_scopes") + + op.drop_index("idx_roles_deleted_at", table_name="roles") + op.drop_index("idx_roles_created_by", table_name="roles") + op.drop_index("idx_roles_name", table_name="roles") + op.drop_table("roles") + + # Drop enums + resource_type_enum = sa.Enum("node", "namespace", name="resourcetype") + resource_type_enum.drop(op.get_bind(), checkfirst=True) + + action_enum = sa.Enum( + "read", + "write", + "execute", + "delete", + "manage", + name="resourceaction", + ) + action_enum.drop(op.get_bind(), checkfirst=True) diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_12_03_0000-2a3b4c5d6e7f_add_last_viewed_notifications.py b/datajunction-server/datajunction_server/alembic/versions/2025_12_03_0000-2a3b4c5d6e7f_add_last_viewed_notifications.py new file mode 100644 index 000000000..c6bf21b99 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_12_03_0000-2a3b4c5d6e7f_add_last_viewed_notifications.py @@ -0,0 +1,32 @@ +""" +Add last_viewed_notifications_at to users table + +Revision ID: 2a3b4c5d6e7f +Revises: 1a2b3c4d5e6f +Create Date: 2025-12-03 00:00:00.000000+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision = "2a3b4c5d6e7f" +down_revision = "1a2b3c4d5e6f" +branch_labels = None +depends_on = None + + +def upgrade(): + op.add_column( + "users", + sa.Column( + "last_viewed_notifications_at", + sa.DateTime(timezone=True), + nullable=True, + ), + ) + + +def downgrade(): + op.drop_column("users", "last_viewed_notifications_at") diff --git a/datajunction-server/datajunction_server/alembic/versions/2025_12_29_0000-5a6b7c8d9e0f_add_pre_aggregation_table.py b/datajunction-server/datajunction_server/alembic/versions/2025_12_29_0000-5a6b7c8d9e0f_add_pre_aggregation_table.py new file mode 100644 index 000000000..5fcc543bf --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2025_12_29_0000-5a6b7c8d9e0f_add_pre_aggregation_table.py @@ -0,0 +1,100 @@ +""" +Add pre_aggregation table + +Creates a pre-aggregations table to store pre-aggregation entities that can be +shared across cubes. Includes workflow state for scheduler-agnostic workflow +URL tracking. + +Revision ID: 5a6b7c8d9e0f +Revises: 2a3b4c5d6e7f +Create Date: 2025-12-29 00:00:00.000000+00:00 +""" + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = "5a6b7c8d9e0f" +down_revision = "2a3b4c5d6e7f" +branch_labels = None +depends_on = None + +# Reference to existing enum +materializationstrategy_enum = postgresql.ENUM( + "FULL", + "SNAPSHOT", + "SNAPSHOT_PARTITION", + "INCREMENTAL_TIME", + "VIEW", + name="materializationstrategy", + create_type=False, +) + + +def upgrade(): + # Note: Reuses existing 'materializationstrategy' enum type from materialization table + op.create_table( + "pre_aggregation", + # Primary key + sa.Column( + "id", + sa.BigInteger().with_variant(sa.Integer(), "sqlite"), + nullable=False, + autoincrement=True, + ), + sa.Column("node_revision_id", sa.BigInteger(), nullable=False), + sa.Column("grain_columns", sa.JSON(), nullable=False), + sa.Column("measures", sa.JSON(), nullable=False), + sa.Column("columns", sa.JSON(), nullable=True), + sa.Column("sql", sa.Text(), nullable=False), + sa.Column("grain_group_hash", sa.String(), nullable=False), + sa.Column( + "strategy", + materializationstrategy_enum, + nullable=True, + ), + sa.Column("schedule", sa.String(), nullable=True), + sa.Column("lookback_window", sa.String(), nullable=True), + sa.Column("workflow_urls", sa.JSON(), nullable=True), + sa.Column("workflow_status", sa.String(), nullable=True), + sa.Column("availability_id", sa.BigInteger(), nullable=True), + sa.Column( + "created_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.func.now(), + ), + sa.Column("updated_at", sa.DateTime(timezone=True), nullable=True), + sa.PrimaryKeyConstraint("id", name="pk_pre_aggregation"), + sa.ForeignKeyConstraint( + ["node_revision_id"], + ["noderevision.id"], + name="fk_pre_aggregation_node_revision_id_noderevision", + ), + sa.ForeignKeyConstraint( + ["availability_id"], + ["availabilitystate.id"], + name="fk_pre_aggregation_availability_id_availabilitystate", + ), + ) + + # Create index on grain_group_hash for fast lookups + op.create_index( + "ix_pre_aggregation_grain_group_hash", + "pre_aggregation", + ["grain_group_hash"], + ) + + # Create index on node_revision_id for finding pre-aggs by node revision + op.create_index( + "ix_pre_aggregation_node_revision_id", + "pre_aggregation", + ["node_revision_id"], + ) + + +def downgrade(): + op.drop_index("ix_pre_aggregation_node_revision_id", "pre_aggregation") + op.drop_index("ix_pre_aggregation_grain_group_hash", "pre_aggregation") + op.drop_table("pre_aggregation") diff --git a/datajunction-server/datajunction_server/alembic/versions/2026_01_13_0156-f6562450c2c7_add_indexes_to_deployments_table.py b/datajunction-server/datajunction_server/alembic/versions/2026_01_13_0156-f6562450c2c7_add_indexes_to_deployments_table.py new file mode 100644 index 000000000..e47f6f002 --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2026_01_13_0156-f6562450c2c7_add_indexes_to_deployments_table.py @@ -0,0 +1,32 @@ +""" +Add indexes to deployments table + +Revision ID: f6562450c2c7 +Revises: 5a6b7c8d9e0f +Create Date: 2026-01-13 01:56:14.970591+00:00 +""" +# pylint: disable=no-member, invalid-name, missing-function-docstring, unused-import, no-name-in-module + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "f6562450c2c7" +down_revision = "5a6b7c8d9e0f" +branch_labels = None +depends_on = None + + +def upgrade(): + with op.batch_alter_table("deployments", schema=None) as batch_op: + batch_op.create_index("ix_deployments_namespace", ["namespace"], unique=False) + batch_op.create_index( + "ix_deployments_namespace_status_created", + ["namespace", "status", "created_at"], + unique=False, + ) + + +def downgrade(): + with op.batch_alter_table("deployments", schema=None) as batch_op: + batch_op.drop_index("ix_deployments_namespace_status_created") + batch_op.drop_index("ix_deployments_namespace") diff --git a/datajunction-server/datajunction_server/alembic/versions/2026_01_20_0000-a1b2c3d4e5f7_add_cascade_delete_to_fks.py b/datajunction-server/datajunction_server/alembic/versions/2026_01_20_0000-a1b2c3d4e5f7_add_cascade_delete_to_fks.py new file mode 100644 index 000000000..c2374db1e --- /dev/null +++ b/datajunction-server/datajunction_server/alembic/versions/2026_01_20_0000-a1b2c3d4e5f7_add_cascade_delete_to_fks.py @@ -0,0 +1,139 @@ +""" +Add ON DELETE CASCADE to foreign keys referencing noderevision + +Fixes foreign key constraint violations when deleting nodes that have +related records in pre_aggregation, nodeavailabilitystate, materialization, +or nodemissingparents tables. + +Revision ID: a1b2c3d4e5f7 +Revises: f6562450c2c7 +Create Date: 2026-01-20 00:00:00.000000+00:00 +""" + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "a1b2c3d4e5f7" +down_revision = "f6562450c2c7" +branch_labels = None +depends_on = None + + +def upgrade(): + # Fix pre_aggregation.node_revision_id FK + op.drop_constraint( + "fk_pre_aggregation_node_revision_id_noderevision", + "pre_aggregation", + type_="foreignkey", + ) + op.create_foreign_key( + "fk_pre_aggregation_node_revision_id_noderevision", + "pre_aggregation", + "noderevision", + ["node_revision_id"], + ["id"], + ondelete="CASCADE", + ) + + # Fix nodeavailabilitystate.node_id FK + op.drop_constraint( + "fk_nodeavailabilitystate_node_id_noderevision", + "nodeavailabilitystate", + type_="foreignkey", + ) + op.create_foreign_key( + "fk_nodeavailabilitystate_node_id_noderevision", + "nodeavailabilitystate", + "noderevision", + ["node_id"], + ["id"], + ondelete="CASCADE", + ) + + # Fix materialization.node_revision_id FK + op.drop_constraint( + "fk_materialization_node_revision_id_noderevision", + "materialization", + type_="foreignkey", + ) + op.create_foreign_key( + "fk_materialization_node_revision_id_noderevision", + "materialization", + "noderevision", + ["node_revision_id"], + ["id"], + ondelete="CASCADE", + ) + + # Fix nodemissingparents.referencing_node_id FK + op.drop_constraint( + "fk_nodemissingparents_referencing_node_id_noderevision", + "nodemissingparents", + type_="foreignkey", + ) + op.create_foreign_key( + "fk_nodemissingparents_referencing_node_id_noderevision", + "nodemissingparents", + "noderevision", + ["referencing_node_id"], + ["id"], + ondelete="CASCADE", + ) + + +def downgrade(): + # Remove CASCADE from pre_aggregation.node_revision_id FK + op.drop_constraint( + "fk_pre_aggregation_node_revision_id_noderevision", + "pre_aggregation", + type_="foreignkey", + ) + op.create_foreign_key( + "fk_pre_aggregation_node_revision_id_noderevision", + "pre_aggregation", + "noderevision", + ["node_revision_id"], + ["id"], + ) + + # Remove CASCADE from nodeavailabilitystate.node_id FK + op.drop_constraint( + "fk_nodeavailabilitystate_node_id_noderevision", + "nodeavailabilitystate", + type_="foreignkey", + ) + op.create_foreign_key( + "fk_nodeavailabilitystate_node_id_noderevision", + "nodeavailabilitystate", + "noderevision", + ["node_id"], + ["id"], + ) + + # Remove CASCADE from materialization.node_revision_id FK + op.drop_constraint( + "fk_materialization_node_revision_id_noderevision", + "materialization", + type_="foreignkey", + ) + op.create_foreign_key( + "fk_materialization_node_revision_id_noderevision", + "materialization", + "noderevision", + ["node_revision_id"], + ["id"], + ) + + # Remove CASCADE from nodemissingparents.referencing_node_id FK + op.drop_constraint( + "fk_nodemissingparents_referencing_node_id_noderevision", + "nodemissingparents", + type_="foreignkey", + ) + op.create_foreign_key( + "fk_nodemissingparents_referencing_node_id_noderevision", + "nodemissingparents", + "noderevision", + ["referencing_node_id"], + ["id"], + ) diff --git a/datajunction-server/datajunction_server/api/__init__.py b/datajunction-server/datajunction_server/api/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/api/access/authentication/__init__.py b/datajunction-server/datajunction_server/api/access/authentication/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/api/access/authentication/basic.py b/datajunction-server/datajunction_server/api/access/authentication/basic.py new file mode 100644 index 000000000..9e3587825 --- /dev/null +++ b/datajunction-server/datajunction_server/api/access/authentication/basic.py @@ -0,0 +1,105 @@ +""" +Basic OAuth Authentication Router +""" + +from datetime import timedelta +from http import HTTPStatus + +from fastapi import APIRouter, Depends, Form +from fastapi.responses import JSONResponse, Response +from fastapi.security import OAuth2PasswordRequestForm +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.constants import AUTH_COOKIE, LOGGED_IN_FLAG_COOKIE +from datajunction_server.database.user import OAuthProvider, User +from datajunction_server.errors import DJAlreadyExistsException, DJError, ErrorCode +from datajunction_server.internal.access.authentication.basic import ( + get_password_hash, + validate_user_password, +) +from datajunction_server.internal.access.authentication.tokens import create_token +from datajunction_server.utils import Settings, get_session, get_settings + +router = APIRouter(tags=["Basic OAuth2"]) + + +@router.post("/basic/user/") +async def create_a_user( + email: str = Form(), + username: str = Form(), + password: str = Form(), + session: AsyncSession = Depends(get_session), +) -> JSONResponse: + """ + Create a new user + """ + user_result = await session.execute(select(User).where(User.username == username)) + if user_result.unique().scalar_one_or_none(): + raise DJAlreadyExistsException( + errors=[ + DJError( + code=ErrorCode.ALREADY_EXISTS, + message=f"User {username} already exists.", + ), + ], + ) + new_user = User( + email=email, + username=username, + password=get_password_hash(password), + oauth_provider=OAuthProvider.BASIC, + ) + session.add(new_user) + await session.commit() + await session.refresh(new_user) + return JSONResponse( + content={"message": "User successfully created"}, + status_code=HTTPStatus.CREATED, + ) + + +@router.post("/basic/login/") +async def login( + form_data: OAuth2PasswordRequestForm = Depends(), + session: AsyncSession = Depends(get_session), + settings: Settings = Depends(get_settings), +): + """ + Get a JWT token and set it as an HTTP only cookie + """ + user = await validate_user_password( + username=form_data.username, + password=form_data.password, + session=session, + ) + response = JSONResponse( + content={"message": "Logged in successfully"}, + status_code=HTTPStatus.OK, + ) + response.set_cookie( + AUTH_COOKIE, + create_token( + {"username": user.username}, + secret=settings.secret, + iss=settings.url, + expires_delta=timedelta(days=365), + ), + httponly=True, + ) + response.set_cookie( + LOGGED_IN_FLAG_COOKIE, + "true", + ) + return response + + +@router.post("/logout/") +def logout(): + """ + Logout a user by deleting the auth cookie + """ + response = Response(status_code=HTTPStatus.OK) + response.delete_cookie(AUTH_COOKIE, httponly=True) + response.delete_cookie(LOGGED_IN_FLAG_COOKIE) + return response diff --git a/datajunction-server/datajunction_server/api/access/authentication/github.py b/datajunction-server/datajunction_server/api/access/authentication/github.py new file mode 100644 index 000000000..2f5f44a5b --- /dev/null +++ b/datajunction-server/datajunction_server/api/access/authentication/github.py @@ -0,0 +1,118 @@ +""" +GitHub OAuth Authentication Router +""" + +import logging +from datetime import timedelta +from http import HTTPStatus + +import requests +from fastapi import APIRouter, Depends, Response +from fastapi.responses import JSONResponse, RedirectResponse + +from datajunction_server.constants import AUTH_COOKIE, LOGGED_IN_FLAG_COOKIE +from datajunction_server.errors import ( + DJAuthenticationException, + DJConfigurationException, + DJError, + ErrorCode, +) +from datajunction_server.internal.access.authentication import github +from datajunction_server.internal.access.authentication.tokens import create_token +from datajunction_server.utils import Settings, get_settings + +_logger = logging.getLogger(__name__) +router = APIRouter(tags=["GitHub OAuth2"]) + + +@router.get("/github/login/", status_code=HTTPStatus.FOUND) +def login() -> RedirectResponse: # pragma: no cover + """ + Login + """ + settings = get_settings() + if not settings.github_oauth_client_id: + raise DJConfigurationException( + http_status_code=HTTPStatus.NOT_IMPLEMENTED, + errors=[ + DJError( + code=ErrorCode.OAUTH_ERROR, + message="GITHUB_OAUTH_CLIENT_ID is not set", + ), + ], + ) + return RedirectResponse( + url=github.get_authorize_url(oauth_client_id=settings.github_oauth_client_id), + status_code=HTTPStatus.FOUND, + ) + + +@router.get("/github/token/") +def get_access_token( + code: str, + response: Response, + settings: Settings = Depends(get_settings), +) -> JSONResponse: # pragma: no cover + """ + Get an access token using OAuth code + """ + settings = get_settings() + params = { + "client_id": settings.github_oauth_client_id, + "client_secret": settings.github_oauth_client_secret, + "code": code, + } + headers = {"Accept": "application/json"} + access_data = requests.post( + url="https://github.com/login/oauth/access_token", + params=params, + headers=headers, + timeout=10, # seconds + ).json() + if "error" in access_data: + raise DJAuthenticationException( + errors=[ + DJError( + code=ErrorCode.OAUTH_ERROR, + message=( + "Received an error from the GitHub authorization " + f"server: {access_data['error']}" + ), + ), + ], + ) + if "access_token" not in access_data: + message = "No user access token retrieved from GitHub OAuth API" + _logger.error(message) + raise DJAuthenticationException( + errors=[DJError(message=message, code=ErrorCode.OAUTH_ERROR)], + ) + user = github.get_github_user(access_data["access_token"]) + response = RedirectResponse( + url=settings.frontend_host, + ) + if not user: + raise DJAuthenticationException( + http_status_code=HTTPStatus.UNAUTHORIZED, + errors=DJError( + code=ErrorCode.OAUTH_ERROR, + message=( + "Could not retrieve user using the GitHub provided access token" + ), + ), + ) + response.set_cookie( + AUTH_COOKIE, + create_token( + {"username": user.username}, + secret=settings.secret, + iss=settings.url, + expires_delta=timedelta(days=365), + ), + httponly=True, + ) + response.set_cookie( + LOGGED_IN_FLAG_COOKIE, + "true", + ) + return response diff --git a/datajunction-server/datajunction_server/api/access/authentication/google.py b/datajunction-server/datajunction_server/api/access/authentication/google.py new file mode 100644 index 000000000..e94381f3e --- /dev/null +++ b/datajunction-server/datajunction_server/api/access/authentication/google.py @@ -0,0 +1,120 @@ +""" +Google OAuth Router +""" + +import logging +import secrets +from datetime import timedelta +from http import HTTPStatus +from typing import Optional +from urllib.parse import urljoin, urlparse + +import google.auth.transport.requests +import google.oauth2.credentials +import requests +from fastapi import APIRouter, Depends, Request +from google.oauth2 import id_token +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from starlette.responses import RedirectResponse + +from datajunction_server.constants import AUTH_COOKIE, LOGGED_IN_FLAG_COOKIE +from datajunction_server.database.user import User +from datajunction_server.errors import DJAuthenticationException +from datajunction_server.internal.access.authentication.basic import get_password_hash +from datajunction_server.internal.access.authentication.google import ( + flow, + get_authorize_url, +) +from datajunction_server.internal.access.authentication.tokens import create_token +from datajunction_server.models.user import OAuthProvider +from datajunction_server.utils import Settings, get_session, get_settings + +_logger = logging.getLogger(__name__) +router = APIRouter(tags=["Google OAuth"]) +settings = get_settings() + + +@router.get("/google/login/", status_code=HTTPStatus.FOUND) +def login(target: Optional[str] = None): + """ + Login using Google OAuth + """ + return RedirectResponse( + url=get_authorize_url(state=target), + status_code=HTTPStatus.FOUND, + ) + + +@router.get("/google/token/") +async def get_access_token( + request: Request, + state: Optional[str] = None, + error: Optional[str] = None, + session: AsyncSession = Depends(get_session), + setting: Settings = Depends(get_settings), +): + """ + Perform a token exchange, exchanging a google auth code for a google access token. + The google access token is then used to request user information and return a JWT + cookie. If the user does not already exist, a new user is created. + """ + if error: + raise DJAuthenticationException( + f"Ran into an error during Google auth: {error}", + ) + hostname = urlparse(settings.url).hostname + url = str(request.url) + flow.fetch_token(authorization_response=url) + credentials = flow.credentials + request_session = requests.session() + token_request = google.auth.transport.requests.Request(session=request_session) + user_data = id_token.verify_oauth2_token( + id_token=credentials._id_token, + request=token_request, + audience=setting.google_oauth_client_id, + ) + + existing_user = ( + await session.execute( + select(User).where(User.email == user_data["email"]), + ) + ).scalar() + if existing_user: + _logger.info("OAuth user found") + user = existing_user + else: + _logger.info("OAuth user does not exist, creating a new user") + new_user = User( + username=user_data["email"], + email=user_data["email"], + password=get_password_hash(secrets.token_urlsafe(13)), + name=user_data["name"], + oauth_provider=OAuthProvider.GOOGLE, + ) + session.add(new_user) + await session.commit() + await session.refresh(new_user) + user = new_user + response = RedirectResponse(url=urljoin(settings.frontend_host, state)) # type: ignore + response.set_cookie( + AUTH_COOKIE, + create_token( + {"username": user.email}, + secret=settings.secret, + iss=settings.url, + expires_delta=timedelta(days=365), + ), + httponly=True, + samesite="none", + secure=True, + domain=hostname, + ) + response.set_cookie( + LOGGED_IN_FLAG_COOKIE, + "true", + samesite="none", + secure=True, + domain=hostname, + ) + return response diff --git a/datajunction-server/datajunction_server/api/access/authentication/service_account.py b/datajunction-server/datajunction_server/api/access/authentication/service_account.py new file mode 100644 index 000000000..e068a1839 --- /dev/null +++ b/datajunction-server/datajunction_server/api/access/authentication/service_account.py @@ -0,0 +1,212 @@ +""" +Service Account related API endpoints +""" + +from datetime import timedelta +import logging +import secrets +import uuid + +from fastapi import APIRouter, Depends, Form +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.user import OAuthProvider, PrincipalKind, User +from datajunction_server.errors import DJAuthenticationException, DJError, ErrorCode +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authentication.basic import ( + get_password_hash, + validate_password_hash, +) +from datajunction_server.internal.access.authentication.tokens import create_token +from datajunction_server.models.service_account import ( + ServiceAccountCreate, + ServiceAccountCreateResponse, + ServiceAccountOutput, + TokenResponse, +) +from datajunction_server.utils import ( + Settings, + get_current_user, + get_session, + get_settings, +) + +secure_router = SecureAPIRouter(tags=["Service Accounts"]) +router = APIRouter(tags=["Service Accounts"]) +logger = logging.getLogger(__name__) + + +@secure_router.post("/service-accounts", response_model=ServiceAccountCreateResponse) +async def create_service_account( + payload: ServiceAccountCreate, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +): + """ + Create a new service account + """ + if current_user.kind != PrincipalKind.USER: + raise DJAuthenticationException( + errors=[ + DJError( + message="Only users can create service accounts", + code=ErrorCode.AUTHENTICATION_ERROR, + ), + ], + ) + + logger.info("User %s is creating a service account", current_user.username) + + client_secret = secrets.token_urlsafe(32) + service_account = User( + name=payload.name, + username=str(uuid.uuid4()), + created_by_id=current_user.id, + password=get_password_hash(client_secret), + kind=PrincipalKind.SERVICE_ACCOUNT, + oauth_provider=OAuthProvider.BASIC, + ) + session.add(service_account) + await session.commit() + await session.refresh(service_account) + + logger.info( + "Service account %s created by user %s", + service_account.username, + current_user.username, + ) + return ServiceAccountCreateResponse( + id=service_account.id, + name=service_account.name, + client_id=service_account.username, + client_secret=client_secret, + ) + + +@secure_router.get("/service-accounts", response_model=list[ServiceAccountOutput]) +async def list_service_accounts( + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> list[ServiceAccountOutput]: + """ + List service accounts for the current user + """ + service_accounts = await User.get_service_accounts_for_user_id( + session, + current_user.id, + ) + return [ + ServiceAccountOutput( + id=service_account.id, + name=service_account.name, + client_id=service_account.username, + created_at=service_account.created_at, + ) + for service_account in service_accounts + ] + + +@secure_router.delete("/service-accounts/{client_id}") +async def delete_service_account( + client_id: str, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +): + """ + Delete a service account + """ + service_account = await User.get_by_username(session, client_id) + if not service_account: + raise DJAuthenticationException( + errors=[ + DJError( + message=f"Service account `{client_id}` not found", + code=ErrorCode.USER_NOT_FOUND, + ), + ], + ) + + if service_account.kind != PrincipalKind.SERVICE_ACCOUNT: + raise DJAuthenticationException( + errors=[ + DJError( + message="Not a service account", + code=ErrorCode.AUTHENTICATION_ERROR, + ), + ], + ) + + if service_account.created_by_id != current_user.id: + raise DJAuthenticationException( + errors=[ + DJError( + message="You can only delete service accounts you created", + code=ErrorCode.AUTHENTICATION_ERROR, + ), + ], + ) + + logger.info( + "User %s is deleting service account %s", + current_user.username, + service_account.username, + ) + + await session.delete(service_account) + await session.commit() + + return {"message": f"Service account `{client_id}` deleted"} + + +@router.post("/service-accounts/token", response_model=TokenResponse) +async def service_account_token( + client_id: str = Form(...), + client_secret: str = Form(...), + session: AsyncSession = Depends(get_session), + settings: Settings = Depends(get_settings), +) -> TokenResponse: + """ + Get an authentication token for a service account + """ + service_account = await User.get_by_username(session, client_id) + if not service_account: + raise DJAuthenticationException( + errors=[ + DJError( + message=f"Service account `{client_id}` not found", + code=ErrorCode.USER_NOT_FOUND, + ), + ], + ) + if service_account.kind != PrincipalKind.SERVICE_ACCOUNT: + raise DJAuthenticationException( + errors=[ + DJError( + message="Not a service account", + code=ErrorCode.INVALID_LOGIN_CREDENTIALS, + ), + ], + ) + + if not validate_password_hash(client_secret, service_account.password): + raise DJAuthenticationException( + errors=[ + DJError( + message="Invalid service account credentials", + code=ErrorCode.INVALID_LOGIN_CREDENTIALS, + ), + ], + ) + + expire_delta = timedelta(seconds=settings.service_account_token_expire) + token = create_token( + data={"username": service_account.username}, + secret=settings.secret, + iss=settings.url, + expires_delta=expire_delta, + ) + return TokenResponse( + token=token, + token_type="bearer", + expires_in=int(expire_delta.total_seconds()), + ) diff --git a/datajunction-server/datajunction_server/api/access/authentication/whoami.py b/datajunction-server/datajunction_server/api/access/authentication/whoami.py new file mode 100644 index 000000000..562ed5279 --- /dev/null +++ b/datajunction-server/datajunction_server/api/access/authentication/whoami.py @@ -0,0 +1,76 @@ +""" +Router for getting the current active user +""" + +from datetime import timedelta +from http import HTTPStatus +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from fastapi import Depends, Request +from fastapi.responses import JSONResponse +from sqlalchemy.ext.asyncio import AsyncSession +from datajunction_server.database.user import User +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authentication.tokens import create_token +from datajunction_server.models.user import UserOutput +from datajunction_server.utils import ( + Settings, + get_current_user, + get_session, + get_settings, +) + +router = SecureAPIRouter(tags=["Who am I?"]) + + +@router.get("/whoami/") +async def whoami( + current_user: User = Depends(get_current_user), + session: AsyncSession = Depends(get_session), +): + """ + Returns the current authenticated user + """ + statement = select( + User.id, + User.username, + User.email, + User.name, + User.oauth_provider, + User.is_admin, + User.last_viewed_notifications_at, + ).where(User.username == current_user.username) + result = await session.execute(statement) + user = result.one_or_none() + return UserOutput( + id=user[0], + username=user[1], + email=user[2], + name=user[3], + oauth_provider=user[4], + is_admin=user[5], + last_viewed_notifications_at=user[6], + ) + + +@router.get("/token/") +async def get_short_lived_token( + request: Request, + settings: Settings = Depends(get_settings), +) -> JSONResponse: + """ + Returns a token that expires in 24 hours + """ + expires_delta = timedelta(hours=24) + return JSONResponse( + status_code=HTTPStatus.OK, + content={ + "token": create_token( + {"username": request.state.user.username}, + secret=settings.secret, + iss=settings.url, + expires_delta=expires_delta, + ), + }, + ) diff --git a/datajunction-server/datajunction_server/api/attributes.py b/datajunction-server/datajunction_server/api/attributes.py new file mode 100644 index 000000000..1af7ee960 --- /dev/null +++ b/datajunction-server/datajunction_server/api/attributes.py @@ -0,0 +1,134 @@ +""" +Attributes related APIs. +""" + +import logging +from typing import List + +from fastapi import Depends +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.attributetype import AttributeType +from datajunction_server.errors import DJAlreadyExistsException, DJInvalidInputException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.models.attribute import ( + RESERVED_ATTRIBUTE_NAMESPACE, + AttributeTypeBase, + ColumnAttributes, + MutableAttributeTypeFields, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.utils import get_session, get_settings + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["attributes"]) + + +@router.get("/attributes/", response_model=List[AttributeTypeBase]) +async def list_attributes( + *, + session: AsyncSession = Depends(get_session), +) -> List[AttributeTypeBase]: + """ + List all available attribute types. + """ + attributes = await AttributeType.get_all(session) + return [ + AttributeTypeBase.model_validate(attr, from_attributes=True) + for attr in attributes + ] + + +@router.post( + "/attributes/", + response_model=AttributeTypeBase, + status_code=201, + name="Add an Attribute Type", +) +async def add_attribute_type( + data: MutableAttributeTypeFields, + *, + session: AsyncSession = Depends(get_session), +) -> AttributeTypeBase: + """ + Add a new attribute type + """ + if data.namespace == RESERVED_ATTRIBUTE_NAMESPACE: + raise DJInvalidInputException( + message="Cannot use `system` as the attribute type namespace as it is reserved.", + ) + attribute_type = await AttributeType.get_by_name(session, data.name) + if attribute_type: + raise DJAlreadyExistsException( + message=f"Attribute type `{data.name}` already exists!", + ) + attribute_type = await AttributeType.create(session, data) + return AttributeTypeBase.model_validate(attribute_type, from_attributes=True) + + +async def default_attribute_types(session: AsyncSession = Depends(get_session)): + """ + Loads all the column attribute types that are supported by the system + by default into the database. + """ + defaults = [ + AttributeType( + namespace=RESERVED_ATTRIBUTE_NAMESPACE, + name=ColumnAttributes.PRIMARY_KEY.value, + description="Points to a column which is part of the primary key of the node", + uniqueness_scope=[], + allowed_node_types=[ + NodeType.SOURCE, + NodeType.TRANSFORM, + NodeType.DIMENSION, + ], + ), + AttributeType( + namespace=RESERVED_ATTRIBUTE_NAMESPACE, + name=ColumnAttributes.DIMENSION.value, + description="Points to a dimension attribute column", + uniqueness_scope=[], + allowed_node_types=[NodeType.SOURCE, NodeType.TRANSFORM], + ), + AttributeType( + namespace=RESERVED_ATTRIBUTE_NAMESPACE, + name=ColumnAttributes.HIDDEN.value, + description=( + "Points to a dimension column that's not useful " + "for end users and should be hidden" + ), + uniqueness_scope=[], + allowed_node_types=[NodeType.DIMENSION], + ), + ] + default_attribute_type_names = {type_.name: type_ for type_ in defaults} + + # Update existing default attribute types + statement = select(AttributeType).filter( + AttributeType.name.in_( # type: ignore + set(default_attribute_type_names.keys()), + ), + ) + attribute_types = (await session.execute(statement)).scalars().all() + for type_ in attribute_types: # pragma: no cover + type_.name = default_attribute_type_names[type_.name].name + type_.namespace = default_attribute_type_names[type_.name].namespace + type_.description = default_attribute_type_names[type_.name].description + type_.allowed_node_types = default_attribute_type_names[ + type_.name + ].allowed_node_types + type_.uniqueness_scope = default_attribute_type_names[ + type_.name + ].uniqueness_scope + session.add(type_) + + # Add new default attribute types + new_types = set(default_attribute_type_names.keys()) - { + type_.name for type_ in attribute_types if type_ + } + session.add_all( + [default_attribute_type_names[name] for name in new_types], + ) + await session.commit() diff --git a/datajunction-server/datajunction_server/api/catalogs.py b/datajunction-server/datajunction_server/api/catalogs.py new file mode 100644 index 000000000..d5e8feaa7 --- /dev/null +++ b/datajunction-server/datajunction_server/api/catalogs.py @@ -0,0 +1,159 @@ +""" +Catalog related APIs. +""" + +import logging +from http import HTTPStatus +from typing import List + +from fastapi import Depends, HTTPException +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload + +from datajunction_server.api.engines import EngineInfo +from datajunction_server.api.helpers import get_catalog_by_name +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.engine import Engine +from datajunction_server.errors import DJException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.engines import get_engine +from datajunction_server.models.catalog import CatalogInfo +from datajunction_server.utils import get_session, get_settings + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["catalogs"]) + + +@router.get("/catalogs/", response_model=List[CatalogInfo]) +async def list_catalogs( + *, + session: AsyncSession = Depends(get_session), +) -> List[CatalogInfo]: + """ + List all available catalogs + """ + statement = select(Catalog).options(joinedload(Catalog.engines)) + return [ + CatalogInfo.model_validate(catalog, from_attributes=True) + for catalog in (await session.execute(statement)).unique().scalars() + ] + + +@router.get("/catalogs/{name}/", response_model=CatalogInfo, name="Get a Catalog") +async def get_catalog( + name: str, + *, + session: AsyncSession = Depends(get_session), +) -> CatalogInfo: + """ + Return a catalog by name + """ + return await get_catalog_by_name(session, name) + + +@router.post( + "/catalogs/", + response_model=CatalogInfo, + status_code=201, + name="Add A Catalog", +) +async def add_catalog( + data: CatalogInfo, + *, + session: AsyncSession = Depends(get_session), +) -> CatalogInfo: + """ + Add a Catalog + """ + try: + await get_catalog_by_name(session, data.name) + except DJException: + pass + else: + raise HTTPException( + status_code=HTTPStatus.CONFLICT, + detail=f"Catalog already exists: `{data.name}`", + ) + + existing_engines = await Engine.get_by_names( + session, + [eng.name for eng in data.engines or []], + ) + existing_engine_names = {e.name for e in existing_engines} + missing_engines = [ + engine + for engine in data.engines or [] + if engine.name not in existing_engine_names + ] + catalog = Catalog( + name=data.name, + engines=[ + Engine( + name=engine.name, + version=engine.version, + uri=engine.uri, + dialect=engine.dialect, + ) + for engine in missing_engines # type: ignore + ] + + existing_engines, + ) + catalog.engines.extend( + await list_new_engines( + session=session, + catalog=catalog, + create_engines=data.engines, # type: ignore + ), + ) + session.add(catalog) + await session.commit() + await session.refresh(catalog, ["engines"]) + + return CatalogInfo.model_validate(catalog, from_attributes=True) + + +@router.post( + "/catalogs/{name}/engines/", + response_model=CatalogInfo, + status_code=201, + name="Add Engines to a Catalog", +) +async def add_engines_to_catalog( + name: str, + data: List[EngineInfo], + *, + session: AsyncSession = Depends(get_session), +) -> CatalogInfo: + """ + Attach one or more engines to a catalog + """ + catalog = await get_catalog_by_name(session, name) + catalog.engines.extend( + await list_new_engines(session=session, catalog=catalog, create_engines=data), + ) + session.add(catalog) + await session.commit() + await session.refresh(catalog) + return CatalogInfo.model_validate(catalog, from_attributes=True) + + +async def list_new_engines( + session: AsyncSession, + catalog: Catalog, + create_engines: List[EngineInfo], +) -> List[Engine]: + """ + Filter to engines that are not already set on a catalog + """ + new_engines = [] + for engine_ref in create_engines: + already_set = False + engine = await get_engine(session, engine_ref.name, engine_ref.version) + for set_engine in catalog.engines: + if engine.name == set_engine.name and engine.version == set_engine.version: + already_set = True + if not already_set: + new_engines.append(engine) + return new_engines diff --git a/datajunction-server/datajunction_server/api/client.py b/datajunction-server/datajunction_server/api/client.py new file mode 100644 index 000000000..c92b96fec --- /dev/null +++ b/datajunction-server/datajunction_server/api/client.py @@ -0,0 +1,213 @@ +""" +APIs related to generating client code used for performing various actions in DJ. +""" + +import json +import logging +import os +import tempfile +from datetime import datetime +from typing import Dict, Optional, cast + +from fastapi import BackgroundTasks, Depends, Request +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload +from starlette.responses import FileResponse + +from datajunction_server.database import Node, NodeNamespace, NodeRevision +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.client import ( + build_export_notebook, + python_client_code_for_linking_complex_dimension, + python_client_create_node, + python_client_initialize, +) +from datajunction_server.models.materialization import MaterializationJobTypeEnum +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.dag import get_upstream_nodes +from datajunction_server.utils import SEPARATOR, get_session, get_settings + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["client"]) + + +@router.get("/datajunction-clients/python/new_node/{node_name}", response_model=str) +async def client_code_for_creating_node( + node_name: str, + *, + include_client_setup: bool = True, + session: AsyncSession = Depends(get_session), + replace_namespace: Optional[str] = None, + request: Request, +) -> str: + """ + Generate the Python client code used for creating this node + """ + client_setup = ( + python_client_initialize(str(request.url)) if include_client_setup else "" + ) + client_code = await python_client_create_node(session, node_name, replace_namespace) + return client_setup + "\n\n" + client_code # type: ignore + + +@router.get( + "/datajunction-clients/python/dimension_links/{node_name}", + response_model=str, +) +async def client_code_for_dimension_links_on_node( + node_name: str, + *, + include_client_setup: bool = True, + session: AsyncSession = Depends(get_session), + replace_namespace: Optional[str] = None, + request: Request, +) -> str: + """ + Generate the Python client code used for creating this node + """ + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.dimension_links), + ), + ], + ) + code = [python_client_initialize(str(request.url))] if include_client_setup else [] + short_name = node_name.split(SEPARATOR)[-1] + code += [f'{short_name} = dj.node("{node_name}")'] + for link in node.current.dimension_links: # type: ignore + code.append( + python_client_code_for_linking_complex_dimension( + node_name, + link, + replace_namespace, + ), + ) + return "\n\n".join(code) + + +@router.get( + "/datajunction-clients/python/add_materialization/{node_name}/{materialization_name}", + response_model=str, +) +async def client_code_for_adding_materialization( + node_name: str, + materialization_name: str, + *, + session: AsyncSession = Depends(get_session), +) -> str: + """ + Generate the Python client code used for adding this materialization + """ + node_short_name = node_name.split(".")[-1] + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.materializations), + ), + ], + ) + materialization = [ + materialization + for materialization in node.current.materializations # type: ignore + if materialization.name == materialization_name + ][0] + user_modified_config = { + key: materialization.config[key] + for key in materialization.config + if key in ("partitions", "spark", "druid", "") + } + with_b = "\n".join( + [ + f" {line}" + for line in json.dumps(user_modified_config, indent=4).split("\n") + ], + ) + client_code = f"""dj = DJBuilder(DJ_URL) + +{node_short_name} = dj.{node.type if node else ""}( + "{node.name if node else ""}" +) +materialization = MaterializationConfig( + job="{MaterializationJobTypeEnum.find_match(materialization.job).name.lower()}", + strategy="{materialization.strategy}", + schedule="{materialization.schedule}", + config={with_b.strip()}, +) +{node_short_name}.add_materialization( + materialization +)""" + return client_code # type: ignore + + +@router.get( + "/datajunction-clients/python/notebook", +) +async def notebook_for_exporting_nodes( + *, + namespace: Optional[str] = None, + cube: Optional[str] = None, + include_dimensions: bool = False, + include_sources: bool = False, + session: AsyncSession = Depends(get_session), + background_tasks: BackgroundTasks, + request: Request, +) -> FileResponse: + """ + Generate the Python client code used for exporting multiple nodes. There are two options: + * namespace: If `namespace` is specified, the generated notebook will contain Python client + code to export all nodes in the namespace. + * cube: If `cube` is specified, the generated notebook will contain Python client code + used for exporting a cube, including all metrics and dimensions referenced in the cube. + """ + if namespace and cube: + raise DJInvalidInputException( + "Can only specify export of either a namespace or a cube.", + ) + + if namespace: + nodes = await NodeNamespace.list_all_nodes(session, namespace) + introduction = ( + f"## DJ Namespace Export\n\n" + f"Exported `{namespace}`\n\n(As of {datetime.now()})" + ) + else: + nodes = await get_upstream_nodes(session, cast(str, cube)) + cube_node = cast( + Node, + await Node.get_by_name(session, cast(str, cube), raise_if_not_exists=True), + ) + nodes += [cube_node] + if not include_dimensions: + nodes = [node for node in nodes if node.type != NodeType.DIMENSION] + if not include_sources: + nodes = [node for node in nodes if node.type != NodeType.SOURCE] + introduction = ( + f"## DJ Cube Export\n\n" + f"Exported `{cube}` {cube_node.current_version}\n\n(As of {datetime.now()})" + ) + + notebook = await build_export_notebook(session, nodes, introduction, request.url) + return notebook_file_response(notebook, background_tasks) + + +def notebook_file_response(notebook: Dict, background_tasks: BackgroundTasks): + """ + Write the notebook contents to a temporary file and prepare a file response + with appropriate headers so that the API returns a downloadable .ipynb file. + """ + file_descriptor, path = tempfile.mkstemp(suffix=".ipynb") + with os.fdopen(file_descriptor, "w") as file: + file.write(json.dumps(notebook)) + + background_tasks.add_task(os.unlink, path) + headers = { + "Content-Disposition": 'attachment; filename="export.ipynb"', + } + return FileResponse(path, headers=headers) diff --git a/datajunction-server/datajunction_server/api/collection.py b/datajunction-server/datajunction_server/api/collection.py new file mode 100644 index 000000000..d6081c45d --- /dev/null +++ b/datajunction-server/datajunction_server/api/collection.py @@ -0,0 +1,162 @@ +""" +Collection related APIs. +""" + +import logging +from http import HTTPStatus +from typing import List + +from fastapi import Depends, HTTPException, Response +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.sql.operators import is_ + +from datajunction_server.database.collection import Collection +from datajunction_server.database.node import Node +from datajunction_server.database.user import User +from datajunction_server.errors import DJException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.models.collection import CollectionDetails, CollectionInfo +from datajunction_server.utils import ( + get_current_user, + get_session, + get_settings, +) + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["collections"]) + + +@router.post( + "/collections/", + response_model=CollectionInfo, + status_code=HTTPStatus.CREATED, +) +async def create_a_collection( + data: CollectionInfo, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> CollectionInfo: + """ + Create a Collection + """ + try: + await Collection.get_by_name(session, data.name, raise_if_not_exists=True) + except DJException: + pass + else: + raise HTTPException( + status_code=HTTPStatus.CONFLICT, + detail=f"Collection already exists: `{data.name}`", + ) + + collection = Collection( + name=data.name, + description=data.description, + created_by_id=current_user.id, + ) + session.add(collection) + await session.commit() + await session.refresh(collection) + + return CollectionInfo.model_validate(collection, from_attributes=True) + + +@router.delete("/collections/{name}", status_code=HTTPStatus.NO_CONTENT) +async def delete_a_collection( + name: str, + *, + session: AsyncSession = Depends(get_session), +): + """ + Delete a collection + """ + collection = await Collection.get_by_name(session, name) + await session.delete(collection) + await session.commit() + return Response(status_code=HTTPStatus.NO_CONTENT) + + +@router.get("/collections/") +async def list_collections( + *, + session: AsyncSession = Depends(get_session), +) -> List[CollectionInfo]: + """ + List all collections + """ + collections = await session.execute( + select(Collection).where(is_(Collection.deactivated_at, None)), + ) + return collections.scalars().all() + + +@router.get("/collections/{name}") +async def get_collection( + name: str, + *, + session: AsyncSession = Depends(get_session), +) -> CollectionDetails: + """ + Get a collection and its nodes + """ + collection = await Collection.get_by_name( + session, + name=name, + raise_if_not_exists=True, + ) + return collection # type: ignore + + +@router.post( + "/collections/{name}/nodes/", + status_code=HTTPStatus.NO_CONTENT, + name="Add Nodes to a Collection", +) +async def add_nodes_to_collection( + name: str, + data: List[str], + *, + session: AsyncSession = Depends(get_session), +): + """ + Add one or more nodes to a collection + """ + collection = await Collection.get_by_name(session, name, raise_if_not_exists=True) + nodes = await Node.get_by_names(session=session, names=data) + if not nodes: + raise HTTPException( + status_code=HTTPStatus.NOT_FOUND, + detail=f"Cannot add nodes to collection, no nodes found: `{data}`", + ) + collection.nodes.extend(nodes) # type: ignore + session.add(collection) + await session.commit() + await session.refresh(collection) + return Response(status_code=HTTPStatus.NO_CONTENT) + + +@router.post( + "/collections/{name}/remove/", + status_code=HTTPStatus.NO_CONTENT, + name="Delete Nodes from a Collection", +) +async def delete_nodes_from_collection( + name: str, + data: List[str], + *, + session: AsyncSession = Depends(get_session), +): + """ + Delete one or more nodes from a collection + """ + collection = await Collection.get_by_name(session, name) + nodes = await Node.get_by_names(session=session, names=data) + for node in nodes: + if node in collection.nodes: # type: ignore + collection.nodes.remove(node) # type: ignore + await session.commit() + await session.refresh(collection) + return Response(status_code=HTTPStatus.NO_CONTENT) diff --git a/datajunction-server/datajunction_server/api/cubes.py b/datajunction-server/datajunction_server/api/cubes.py new file mode 100644 index 000000000..31f826032 --- /dev/null +++ b/datajunction-server/datajunction_server/api/cubes.py @@ -0,0 +1,891 @@ +""" +Cube related APIs. +""" + +import logging +from http import HTTPStatus +from typing import List, Optional + +from fastapi import Depends, Query, Request +from fastapi.responses import JSONResponse +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.api.helpers import get_catalog_by_name +from datajunction_server.construction.build_v3.combiners import ( + build_combiner_sql_from_preaggs, +) +from datajunction_server.models.materialization import ( + DRUID_AGG_MAPPING, + DRUID_SKETCH_TYPES, +) +from datajunction_server.construction.dimensions import build_dimensions_from_cube_query +from datajunction_server.database.materialization import Materialization +from datajunction_server.database.node import Node +from datajunction_server.database.user import User +from datajunction_server.errors import ( + DJInvalidInputException, + DJQueryServiceClientException, +) +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + get_access_checker, +) +from datajunction_server.internal.materializations import build_cube_materialization +from datajunction_server.internal.nodes import ( + get_all_cube_revisions_metadata, + get_single_cube_revision_metadata, +) +from datajunction_server.models.cube import ( + CubeRevisionMetadata, + DimensionValue, + DimensionValues, +) +from datajunction_server.models.cube_materialization import ( + CubeMaterializeRequest, + CubeMaterializeResponse, + CubeMaterializationV2Input, + DruidCubeMaterializationInput, + DruidCubeV3Config, + PreAggTableInfo, + UpsertCubeMaterialization, +) +from datajunction_server.models.dialect import Dialect +from datajunction_server.models.preaggregation import ( + BackfillRequest, + BackfillResponse, + CubeBackfillInput, +) +from datajunction_server.models.materialization import ( + Granularity, + MaterializationJobTypeEnum, + MaterializationStrategy, +) +from datajunction_server.models.metric import TranslatedSQL +from datajunction_server.models.node_type import NodeNameVersion +from datajunction_server.models.query import ColumnMetadata, QueryCreate +from datajunction_server.naming import from_amenable_name +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.utils import ( + get_current_user, + get_query_service_client, + get_session, + get_settings, +) + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["cubes"]) + + +def _build_metrics_spec( + measure_columns, + measure_components, + component_aliases: dict[str, str], +) -> list[dict]: + """ + Build Druid metricsSpec from measure columns and their components. + + Uses the merge function (Phase 2) to determine the Druid aggregator type, + since we're loading pre-aggregated data. Falls back to longSum for unmapped types. + + Args: + measure_columns: List of column metadata for measures + measure_components: List of MetricComponent objects + component_aliases: Mapping from component name to output column alias + e.g., {"account_id_hll_e7b21ce4": "approx_unique_accounts_rating"} + """ + # Build lookup from component name to component + component_by_name = {comp.name: comp for comp in measure_components} + + # Build reverse lookup from alias to component + # component_aliases: {internal_name -> alias} + # We need: {alias -> internal_name} to look up by column name + alias_to_component_name = {alias: name for name, alias in component_aliases.items()} + + metrics = [] + for col in measure_columns: + # Try direct lookup first, then alias lookup + component = component_by_name.get(col.name) + if not component: + # Look up by alias + internal_name = alias_to_component_name.get(col.name) + if internal_name: + component = component_by_name.get(internal_name) + + druid_type = "longSum" # Default fallback + + if component: + # Use merge function for pre-aggregated data, fall back to aggregation + agg_func = component.merge or component.aggregation + if agg_func: + key = (col.type, agg_func.lower()) + if key in DRUID_AGG_MAPPING: + druid_type = DRUID_AGG_MAPPING[key] + + metric_spec = { + "fieldName": col.name, + "name": col.name, + "type": druid_type, + } + + # HLL sketches need additional configuration + if druid_type in DRUID_SKETCH_TYPES: + metric_spec["lgK"] = 12 # Log2 of K, controls precision (4-21) + metric_spec["tgtHllType"] = "HLL_4" # HLL_4, HLL_6, or HLL_8 + + metrics.append(metric_spec) + + return metrics + + +@router.get("/cubes", name="Get all Cubes") +async def get_all_cubes( + *, + session: AsyncSession = Depends(get_session), + catalog: Optional[str] = Query( + None, + description="Filter to include only cubes available in a specific catalog", + ), + page: int = Query(1, ge=1, description="Page number (starting from 1)"), + page_size: int = Query( + 10, + ge=1, + le=1000, + description="Number of items per page (max 1000)", + ), +) -> list[CubeRevisionMetadata]: + """ + Get information on all cubes + """ + return await get_all_cube_revisions_metadata( + session=session, + catalog=catalog, + page=page, + page_size=page_size, + ) + + +@router.get("/cubes/{name}/", name="Get a Cube") +async def get_cube( + name: str, + *, + session: AsyncSession = Depends(get_session), +) -> CubeRevisionMetadata: + """ + Get information on a cube + """ + return await get_single_cube_revision_metadata(session, name) + + +@router.get("/cubes/{name}/versions/{version}", name="Get a Cube Revision") +async def get_cube_by_version( + name: str, + version: str, + *, + session: AsyncSession = Depends(get_session), +) -> CubeRevisionMetadata: + """ + Get information on a specific cube revision + """ + return await get_single_cube_revision_metadata(session, name, version=version) + + +@router.get("/cubes/{name}/materialization", name="Cube Materialization Config") +async def cube_materialization_info( + name: str, + session: AsyncSession = Depends(get_session), +) -> DruidCubeMaterializationInput: + """ + The standard cube materialization config. DJ makes sensible materialization choices + where possible. + + Requirements: + - The cube must have a temporal partition column specified. + - The job strategy will always be "incremental time". + + Outputs: + "measures_materializations": + We group the metrics by parent node. Then we try to pre-aggregate each parent node as + much as possible to prepare for metric queries on the cube's dimensions. + "combiners": + We combine each set of measures materializations on their shared grain. Note that we don't + support materializing cubes with measures materializations that don't share the same grain. + However, we keep `combiners` as a list in the eventual future where we support that. + "metrics": + We include a list of metrics, their required measures, and the derived expression (e.g., the + expression used by the metric that makes use of the pre-aggregated measures) + + Once we create a scheduled materialization workflow, we freeze the metadata for that particular + materialized dataset. This allows us to reconstruct metrics SQL from the dataset when needed. + To request metrics from the materialized cube, use the metrics' measures metadata. + """ + node = await Node.get_cube_by_name(session, name) + temporal_partitions = node.current.temporal_partition_columns() # type: ignore + if len(temporal_partitions) != 1: + raise DJInvalidInputException( + "The cube must have a single temporal partition column set " + "in order for it to be materialized.", + ) + temporal_partition = temporal_partitions[0] if temporal_partitions else None + granularity_lookback_defaults = { + Granularity.MINUTE: "1 MINUTE", + Granularity.HOUR: "1 HOUR", + Granularity.DAY: "1 DAY", + Granularity.WEEK: "1 WEEK", + Granularity.MONTH: "1 MONTH", + Granularity.QUARTER: "1 QUARTER", + Granularity.YEAR: "1 YEAR", + } + granularity_cron_defaults = { + Granularity.MINUTE: "* * * * *", # Runs every minute + Granularity.HOUR: "0 * * * *", # Runs at the start of every hour + Granularity.DAY: "0 0 * * *", # Runs at midnight every day + Granularity.WEEK: "0 0 * * 0", # Runs at midnight on Sundays + Granularity.MONTH: "0 0 1 * *", # Runs at midnight on the first of every month + Granularity.QUARTER: "0 0 1 */3 *", # Runs at midnight on the first day of each quarter + Granularity.YEAR: "0 0 1 1 *", # Runs at midnight on January 1st every year + } + upsert = UpsertCubeMaterialization( + job=MaterializationJobTypeEnum.DRUID_CUBE.value.name, + strategy=( + MaterializationStrategy.INCREMENTAL_TIME + if temporal_partition + else MaterializationStrategy.FULL + ), + lookback_window=granularity_lookback_defaults.get( + temporal_partition.partition.granularity, + granularity_lookback_defaults[Granularity.DAY], + ), + schedule=granularity_cron_defaults.get( + temporal_partition.partition.granularity, + granularity_cron_defaults[Granularity.DAY], + ), + ) + cube_config = await build_cube_materialization( + session, + node.current, # type: ignore + upsert, + ) + return DruidCubeMaterializationInput( + name="", + cube=cube_config.cube, + dimensions=cube_config.dimensions, + metrics=cube_config.metrics, + strategy=upsert.strategy, + schedule=upsert.schedule, + job=upsert.job.name, # type: ignore + measures_materializations=cube_config.measures_materializations, + combiners=cube_config.combiners, + ) + + +@router.get("/cubes/{name}/dimensions/sql", name="Dimensions SQL for Cube") +async def get_cube_dimension_sql( + name: str, + *, + dimensions: List[str] = Query([], description="Dimensions to get values for"), + filters: Optional[str] = Query( + None, + description="Filters on dimensional attributes", + ), + limit: Optional[int] = Query( + None, + description="Number of rows to limit the data retrieved to", + ), + include_counts: bool = False, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + access_checker: AccessChecker = Depends(get_access_checker), +) -> TranslatedSQL: + """ + Generates SQL to retrieve all unique values of a dimension for the cube + """ + node = await Node.get_cube_by_name(session, name) + node_revision = node.current # type: ignore + return await build_dimensions_from_cube_query( + session, + node_revision, + dimensions, + current_user, + access_checker, + filters, + limit, + include_counts, + ) + + +@router.get( + "/cubes/{name}/dimensions/data", + name="Dimensions Values for Cube", +) +async def get_cube_dimension_values( + name: str, + *, + dimensions: List[str] = Query([], description="Dimensions to get values for"), + filters: Optional[str] = Query( + None, + description="Filters on dimensional attributes", + ), + limit: Optional[int] = Query( + None, + description="Number of rows to limit the data retrieved to", + ), + include_counts: bool = False, + async_: bool = False, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + access_checker: AccessChecker = Depends(get_access_checker), +) -> DimensionValues: + """ + All unique values of a dimension from the cube + """ + request_headers = dict(request.headers) + node = await Node.get_cube_by_name(session, name) + cube = node.current # type: ignore + translated_sql = await build_dimensions_from_cube_query( + session, + cube, + dimensions, + current_user, + access_checker, + filters, + limit, + include_counts, + ) + if cube.availability: + catalog = await get_catalog_by_name( # pragma: no cover + session, + cube.availability.catalog, # type: ignore + ) + else: + catalog = cube.catalog + query_create = QueryCreate( + engine_name=catalog.engines[0].name, + catalog_name=catalog.name, + engine_version=catalog.engines[0].version, + submitted_query=translated_sql.sql, + async_=async_, + ) + result = query_service_client.submit_query( + query_create, + request_headers=request_headers, + ) + count_column = [ + idx + for idx, col in enumerate(translated_sql.columns) # type: ignore + if col.name == "count" + ] + dimension_values = [ # pragma: no cover + DimensionValue( + value=row[0 : count_column[0]] if count_column else row, + count=row[count_column[0]] if count_column else None, + ) + for row in result.results.root[0].rows + ] + return DimensionValues( # pragma: no cover + dimensions=[ + from_amenable_name(col.name) + for col in translated_sql.columns # type: ignore + if col.name != "count" + ], + values=dimension_values, + cardinality=len(dimension_values), + ) + + +@router.post( + "/cubes/{name}/materialize", + response_model=CubeMaterializeResponse, + name="Materialize Cube to Druid", +) +async def materialize_cube( + name: str, + data: CubeMaterializeRequest, + request: Request, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + query_service_client: QueryServiceClient = Depends(get_query_service_client), +) -> CubeMaterializeResponse: + """ + Create a Druid cube materialization workflow. + + This endpoint generates all the information needed for a Druid cube workflow: + + 1. **Pre-agg table dependencies**: The Druid workflow should wait (via VTTS) + for these tables to be available before starting ingestion. + + 2. **Combined SQL**: SQL that reads from the pre-agg tables with re-aggregation, + combining multiple grain groups via FULL OUTER JOIN. + + 3. **Druid spec**: Ingestion specification for Druid. + + The typical flow is: + - Pre-agg workflows write to: `{preagg_catalog}.{preagg_schema}.{node}_preagg_{hash}` + - Druid workflow waits on those tables' VTTS + - Once available, Druid workflow runs the combined SQL and ingests to Druid + + Args: + name: Cube name + data: Materialization configuration (schedule, strategy, etc.) + + Returns: + CubeMaterializeResponse with pre-agg dependencies, combined SQL, and Druid spec. + """ + # Get the cube + node = await Node.get_cube_by_name(session, name) + if not node: + raise DJInvalidInputException( + message=f"Cube '{name}' not found", + http_status_code=HTTPStatus.NOT_FOUND, + ) + cube_revision = node.current + + if not cube_revision: + raise DJInvalidInputException( # pragma: no cover + message=f"Cube '{name}' has no current revision", + http_status_code=HTTPStatus.NOT_FOUND, + ) + + # Build combined SQL from pre-agg tables + try: + ( + combined_result, + preagg_table_refs, + temporal_partition_info, + ) = await build_combiner_sql_from_preaggs( + session=session, + metrics=cube_revision.cube_node_metrics, + dimensions=cube_revision.cube_node_dimensions, + filters=None, + dialect=Dialect.SPARK, + ) + except Exception as e: # pragma: no cover + raise DJInvalidInputException( # pragma: no cover + message=f"Failed to generate combined SQL: {e!s}", + http_status_code=HTTPStatus.BAD_REQUEST, + ) from e + + # For incremental strategy, we need a temporal partition + if ( + data.strategy == MaterializationStrategy.INCREMENTAL_TIME + and not temporal_partition_info + ): + raise DJInvalidInputException( + message=( + "Could not auto-detect temporal partition from pre-aggregations. " + "Please ensure the source nodes have temporal partitions configured, " + "or use FULL materialization strategy." + ), + http_status_code=HTTPStatus.BAD_REQUEST, + ) + + # Build pre-agg table info + preagg_tables = [] + for i, table_ref in enumerate(preagg_table_refs): + # Extract parent node from the grain groups used in combiner + parent_name = combined_result.columns[0].semantic_name or "unknown" + # Get grain from the combiner result + grain = combined_result.shared_dimensions + + preagg_tables.append( + PreAggTableInfo( + table_ref=table_ref, + parent_node=parent_name, + grain=grain, + ), + ) + + # Generate Druid datasource name (versioned to prevent overwrites) + safe_name = name.replace(".", "_") + safe_version = str(cube_revision.version).replace(".", "_") + druid_datasource = data.druid_datasource or f"dj_{safe_name}_{safe_version}" + + # Build Druid spec + dimension_columns = [ + col.name for col in combined_result.columns if col.semantic_type == "dimension" + ] + measure_columns = [ + col + for col in combined_result.columns + if col.semantic_type in ("metric", "metric_component", "measure") + ] + + # Build timestamp spec from auto-detected temporal partition + timestamp_column = ( + temporal_partition_info.column_name if temporal_partition_info else None + ) + timestamp_format = ( + temporal_partition_info.format if temporal_partition_info else "auto" + ) + segment_granularity = ( + temporal_partition_info.granularity.upper() + if temporal_partition_info and temporal_partition_info.granularity + else "DAY" + ) + + # Validate that the timestamp column is in the output columns + all_output_col_names = {col.name for col in combined_result.columns} + if timestamp_column and timestamp_column not in all_output_col_names: + raise DJInvalidInputException( # pragma: no cover + message=( + f"Detected temporal partition column '{timestamp_column}' is not in the " + f"combined query output columns ({all_output_col_names}). " + f"Please ensure you've selected a date/time dimension " + f"(e.g., the date column) in your cube dimensions." + ), + http_status_code=HTTPStatus.BAD_REQUEST, + ) + + druid_spec = { + "dataSchema": { + "dataSource": druid_datasource, + "parser": { + "parseSpec": { + "format": "parquet", + "dimensionsSpec": { + "dimensions": sorted(dimension_columns), + }, + "timestampSpec": { + "column": timestamp_column, + "format": timestamp_format or "auto", + }, + }, + }, + "metricsSpec": _build_metrics_spec( + measure_columns, + combined_result.measure_components, + combined_result.component_aliases, + ), + "granularitySpec": { + "type": "uniform", + "segmentGranularity": segment_granularity, + "intervals": [], # Set at runtime + }, + }, + "tuningConfig": { + "partitionsSpec": { + "targetPartitionSize": 5000000, + "type": "hashed", + }, + "useCombiner": True, + "type": "hadoop", + }, + } + + # Convert columns to ColumnMetadata + output_columns = [ + ColumnMetadata( + name=col.name, + type=col.type, + semantic_entity=col.semantic_name, + semantic_type=col.semantic_type, + ) + for col in combined_result.columns + ] + + # Build the v2 input for the query service + v2_input = CubeMaterializationV2Input( + cube_name=node.name, + cube_version=str(cube_revision.version), + preagg_tables=preagg_tables, + combined_sql=combined_result.sql, + combined_columns=output_columns, + combined_grain=combined_result.shared_dimensions, + druid_datasource=druid_datasource, + druid_spec=druid_spec, + timestamp_column=timestamp_column, + timestamp_format=timestamp_format or "yyyyMMdd", + strategy=data.strategy, + schedule=data.schedule, + lookback_window=data.lookback_window, + ) + + # Call the query service to create the workflow + request_headers = dict(request.headers) + try: + mat_result = query_service_client.materialize_cube_v2( + v2_input, + request_headers=request_headers, + ) + workflow_urls = mat_result.urls + message = ( + f"Cube materialization workflow created. " + f"Workflow waits on {len(preagg_tables)} pre-agg table(s) before Druid ingestion. " + f"Workflow URLs: {workflow_urls}" + ) + except Exception as e: + _logger.warning( + "Failed to create workflow for cube=%s: %s. Returning response without workflow.", + name, + str(e), + ) + workflow_urls = [] + message = ( + f"Cube materialization prepared (workflow creation failed: {e}). " + f"Druid workflow should wait on {len(preagg_tables)} pre-agg table(s) before ingestion." + ) + + # Persist materialization record on the cube's node revision + materialization_name = "druid_cube_v3" + existing_mats = await Materialization.get_by_names( + session, + cube_revision.id, + [materialization_name], + ) + + # Build metrics list with combiner expressions + metrics_list = [] + for metric_name in cube_revision.cube_node_metrics: + metric_expression = combined_result.metric_combiners.get(metric_name) + short_name = metric_name.split(".")[-1] + metrics_list.append( + { + "node": metric_name, + "name": short_name, + "metric_expression": metric_expression, + "metric": { + "name": metric_name, + "display_name": short_name.replace("_", " ").title(), + }, + }, + ) + + # Build V3 config using the proper Pydantic model + mat_config = DruidCubeV3Config( + druid_datasource=druid_datasource, + preagg_tables=preagg_tables, + combined_sql=combined_result.sql, + combined_columns=output_columns, + combined_grain=combined_result.shared_dimensions, + measure_components=combined_result.measure_components, + component_aliases=combined_result.component_aliases, + cube_metrics=cube_revision.cube_node_metrics, + metrics=metrics_list, + timestamp_column=timestamp_column, + timestamp_format=timestamp_format or "yyyyMMdd", + workflow_urls=workflow_urls, + ) + + if existing_mats: + # Update existing materialization + mat = existing_mats[0] + mat.strategy = data.strategy + mat.schedule = data.schedule + mat.config = mat_config.model_dump() + _logger.info("Updated materialization record for cube=%s", name) + else: + # Create new materialization + mat = Materialization( + node_revision_id=cube_revision.id, + name=materialization_name, + strategy=data.strategy, + schedule=data.schedule, + config=mat_config.model_dump(), + job="DruidCubeMaterializationJob", + ) + session.add(mat) + _logger.info("Created materialization record for cube=%s", name) + + await session.commit() + + return CubeMaterializeResponse( + cube=NodeNameVersion( + name=node.name, + version=str(cube_revision.version), + ), + druid_datasource=druid_datasource, + preagg_tables=preagg_tables, + combined_sql=combined_result.sql, + combined_columns=output_columns, + combined_grain=combined_result.shared_dimensions, + druid_spec=druid_spec, + strategy=data.strategy, + schedule=data.schedule, + lookback_window=data.lookback_window, + metric_combiners=combined_result.metric_combiners, + workflow_urls=workflow_urls, + message=message, + ) + + +@router.delete( + "/cubes/{name}/materialize", + name="Deactivate Cube Materialization", +) +async def deactivate_cube_materialization( + name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + query_service_client: QueryServiceClient = Depends(get_query_service_client), + request: Request, +) -> JSONResponse: + """ + Deactivate (remove) the Druid cube materialization for this cube. + + This will: + 1. Remove the materialization record from the cube + 2. Optionally deactivate the workflow in the query service (if supported) + """ + node = await Node.get_cube_by_name(session, name) + if not node: + raise DJInvalidInputException( + message=f"Cube {name} not found", + http_status_code=HTTPStatus.NOT_FOUND, + ) + + cube_revision = node.current + + # Find and delete the druid_cube_v3 materialization + materialization_name = "druid_cube_v3" + existing_mats = await Materialization.get_by_names( + session, + cube_revision.id, + [materialization_name], + ) + + if not existing_mats: + raise DJInvalidInputException( + message=f"No Druid cube materialization found for cube {name}", + http_status_code=HTTPStatus.NOT_FOUND, + ) + + mat = existing_mats[0] + + # Try to deactivate the workflow in the query service + request_headers = dict(request.headers) + try: + query_service_client.deactivate_cube_workflow( + name, + version=cube_revision.version, + request_headers=request_headers, + ) + _logger.info( + "Deactivated workflow for cube=%s version=%s", + name, + cube_revision.version, + ) + except Exception as e: + _logger.warning( + "Failed to deactivate workflow for cube=%s: %s (continuing with deletion)", + name, + str(e), + ) + + # Delete the materialization record + await session.delete(mat) + await session.commit() + + _logger.info("Deleted materialization record for cube=%s", name) + + return JSONResponse( + status_code=HTTPStatus.OK, + content={ + "message": f"Cube materialization deactivated for {name}", + }, + ) + + +@router.post( + "/cubes/{name}/backfill", + response_model=BackfillResponse, + name="Run Cube Backfill", +) +async def run_cube_backfill( + name: str, + data: BackfillRequest, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), +) -> BackfillResponse: + """ + Run a backfill for the cube over the specified date range. + + This triggers the cube's backfill workflow with the given start_date + and end_date. The workflow iterates through each date partition + and re-runs the cube materialization for that date. + + Prerequisites: + - Cube materialization must be scheduled (via POST /cubes/{name}/materialize) + """ + from datetime import date as date_type + + # Verify the cube exists + node = await Node.get_cube_by_name(session, name) + if not node: + raise DJInvalidInputException( + message=f"Cube '{name}' not found", + http_status_code=HTTPStatus.NOT_FOUND, + ) + + # Verify cube has a materialization + cube_revision = node.current + materialization_name = "druid_cube_v3" + existing_mats = await Materialization.get_by_names( + session, + cube_revision.id, + [materialization_name], + ) + + if not existing_mats: + raise DJInvalidInputException( + message=( + f"Cube '{name}' has no materialization. " + "Use POST /cubes/{name}/materialize first." + ), + http_status_code=HTTPStatus.BAD_REQUEST, + ) + + # Default end_date to today + end_date = data.end_date or date_type.today() + + # Build backfill input for query service + backfill_input = CubeBackfillInput( + cube_name=name, + cube_version=str(cube_revision.version), + start_date=data.start_date, + end_date=end_date, + ) + + # Call query service + _logger.info( + "Running backfill for cube=%s from %s to %s", + name, + data.start_date, + end_date, + ) + request_headers = dict(request.headers) + + try: + backfill_result = query_service_client.run_cube_backfill( + backfill_input, + request_headers=request_headers, + ) + except Exception as e: + _logger.exception( + "Failed to run backfill for cube=%s: %s", + name, + str(e), + ) + raise DJQueryServiceClientException( + message=f"Failed to run cube backfill: {e}", + ) + + job_url = backfill_result.get("job_url", "") + _logger.info( + "Started backfill for cube=%s job_url=%s", + name, + job_url, + ) + + return BackfillResponse( + job_url=job_url, + start_date=data.start_date, + end_date=end_date, + status="running", + ) diff --git a/datajunction-server/datajunction_server/api/data.py b/datajunction-server/datajunction_server/api/data.py new file mode 100644 index 000000000..c5897fb3d --- /dev/null +++ b/datajunction-server/datajunction_server/api/data.py @@ -0,0 +1,589 @@ +""" +Data related APIs. +""" + +import logging +from dataclasses import asdict +from typing import Callable, Dict, List, Optional, cast + +from fastapi import BackgroundTasks, Depends, Query, Request +from fastapi.responses import JSONResponse +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload +from sse_starlette.sse import EventSourceResponse + +from datajunction_server.api.helpers import ( + resolve_engine, + query_event_stream, +) +from datajunction_server.construction.build_v3.builder import build_metrics_sql +from datajunction_server.construction.build_v3.cube_matcher import ( + resolve_dialect_and_engine_for_metrics, +) +from datajunction_server.api.helpers import get_save_history +from datajunction_server.database.availabilitystate import AvailabilityState +from datajunction_server.database.history import History +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.errors import ( + DJInvalidInputException, + DJQueryServiceClientException, +) +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + AccessDenialMode, + get_access_checker, +) +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.models import access +from datajunction_server.models.node import AvailabilityStateBase +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.query import QueryCreate, QueryWithResults +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.utils import ( + get_current_user, + get_query_service_client, + get_session, + get_settings, +) +from datajunction_server.internal.caching.cachelib_cache import get_cache +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.internal.caching.query_cache_manager import ( + QueryCacheManager, + QueryRequestParams, + QueryBuildType, +) +from datajunction_server.construction.build_v3.types import GeneratedSQL + +_logger = logging.getLogger(__name__) + +settings = get_settings() +router = SecureAPIRouter(tags=["data"]) + + +@router.post("/data/{node_name}/availability/", name="Add Availability State to Node") +async def add_availability_state( + node_name: str, + data: AvailabilityStateBase, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + access_checker: AccessChecker = Depends(get_access_checker), + save_history: Callable = Depends(get_save_history), +) -> JSONResponse: + """ + Add an availability state to a node. + """ + _logger.info("Storing availability for node=%s", node_name) + + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.catalog), + selectinload(NodeRevision.availability), + ), + ], + raise_if_not_exists=True, + ) + + # Source nodes require that any availability states set are for one of the defined tables + node_revision = node.current # type: ignore + access_checker.add_request( + access.ResourceRequest( + verb=access.ResourceAction.WRITE, + access_object=access.Resource.from_node(node_revision), + ), + ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + if node.current.type == NodeType.SOURCE: # type: ignore + if ( + data.catalog != node_revision.catalog.name + or data.schema_ != node_revision.schema_ + or data.table != node_revision.table + ): + raise DJInvalidInputException( + message=( + "Cannot set availability state, " + "source nodes require availability " + "states to match the set table: " + f"{data.catalog}." + f"{data.schema_}." + f"{data.table} " + "does not match " + f"{node_revision.catalog.name}." + f"{node_revision.schema_}." + f"{node_revision.table} " + ), + ) + + # Merge the new availability state with the current availability state if one exists + old_availability = node_revision.availability + if ( + old_availability + and old_availability.catalog == data.catalog + and old_availability.schema_ == data.schema_ + and old_availability.table == data.table + ): + data.merge(node_revision.availability) + + # Update the node with the new availability state + node_revision.availability = AvailabilityState( + catalog=data.catalog, + schema_=data.schema_, + table=data.table, + valid_through_ts=data.valid_through_ts, + url=data.url, + min_temporal_partition=[ + str(part) for part in data.min_temporal_partition or [] + ], + max_temporal_partition=[ + str(part) for part in data.max_temporal_partition or [] + ], + partitions=[ + partition.model_dump() if not isinstance(partition, Dict) else partition + for partition in (data.partitions or []) + ], + categorical_partitions=data.categorical_partitions, + temporal_partitions=data.temporal_partitions, + links=data.links, + ) + if node_revision.availability and not node_revision.availability.partitions: + node_revision.availability.partitions = [] + session.add(node_revision) + await save_history( + event=History( + entity_type=EntityType.AVAILABILITY, + node=node.name, # type: ignore + activity_type=ActivityType.CREATE, + pre=AvailabilityStateBase.model_validate( + old_availability, + ).model_dump() + if old_availability + else {}, + post=AvailabilityStateBase.model_validate( + node_revision.availability, + ).model_dump(), + user=current_user.username, + ), + session=session, + ) + await session.commit() + return JSONResponse( + status_code=200, + content={"message": "Availability state successfully posted"}, + ) + + +@router.delete( + "/data/{node_name}/availability/", + name="Remove Availability State from Node", +) +async def remove_availability_state( + node_name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + access_checker: AccessChecker = Depends(get_access_checker), + save_history: Callable = Depends(get_save_history), +) -> JSONResponse: + """ + Remove an availability state from a node. + """ + _logger.info("Removing availability for node=%s", node_name) + + node = cast( + Node, + await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.catalog), + selectinload(NodeRevision.availability), + ), + ], + raise_if_not_exists=True, + ), + ) + + access_checker.add_request( + access.ResourceRequest( + verb=access.ResourceAction.WRITE, + access_object=access.Resource.from_node(node.current), # type: ignore + ), + ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + # Save the old availability state for history record + old_availability = ( + AvailabilityStateBase.from_orm(node.current.availability).dict() + if node.current.availability + else {} + ) + node.current.availability = None + await save_history( + event=History( + entity_type=EntityType.AVAILABILITY, + node=node.name, # type: ignore + activity_type=ActivityType.DELETE, + pre=old_availability, + post={}, + user=current_user.username, + ), + session=session, + ) + await session.commit() + return JSONResponse( + status_code=201, + content={"message": "Availability state successfully removed"}, + ) + + +@router.get("/data/{node_name}/", name="Get Data for a Node") +async def get_data( + node_name: str, + *, + dimensions: List[str] = Query([], description="Dimensional attributes to group by"), + filters: List[str] = Query([], description="Filters on dimensional attributes"), + orderby: List[str] = Query([], description="Expression to order by"), + limit: Optional[int] = Query( + None, + description="Number of rows to limit the data retrieved to", + ), + async_: bool = Query( + default=False, + description="Whether to run the query async or wait for results from the query engine", + ), + use_materialized: bool = Query( + default=True, + description="Whether to use materialized nodes when available", + ), + ignore_errors: bool = Query( + default=False, + description="Whether to ignore errors when building the query", + ), + query_params: str = Query("{}", description="Query parameters"), + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + background_tasks: BackgroundTasks, + cache: Cache = Depends(get_cache), +) -> QueryWithResults: + """ + Gets data for a node + """ + request_headers = dict(request.headers) + query_cache_manager = QueryCacheManager( + cache=cache, + query_type=QueryBuildType.NODE, + ) + generated_sql: GeneratedSQL = await query_cache_manager.get_or_load( + background_tasks, + request, + QueryRequestParams( + nodes=[node_name], + dimensions=dimensions, + filters=filters, + orderby=orderby, + limit=limit, + query_params=query_params, + engine_name=engine_name, + engine_version=engine_version, + use_materialized=use_materialized, + ignore_errors=ignore_errors, + ), + ) + + node = cast( + Node, + await Node.get_by_name(session, node_name, raise_if_not_exists=True), + ) + engine = await resolve_engine( + session=session, + node=node, + engine_name=engine_name, + engine_version=engine_version, + dialect=generated_sql.dialect, + ) + + query_create = QueryCreate( + engine_name=engine.name, + catalog_name=node.current.catalog.name, # type: ignore + engine_version=engine.version, + submitted_query=generated_sql.sql, + async_=async_, + ) + result = query_service_client.submit_query( + query_create, + request_headers=request_headers, + ) + + # Inject column info if there are results + if result.results.root: # pragma: no cover + result.results.root[0].columns = generated_sql.columns # type: ignore + return result + + +@router.get("/stream/{node_name}", response_model=QueryWithResults) +async def get_data_stream_for_node( + node_name: str, + *, + dimensions: List[str] = Query([], description="Dimensional attributes to group by"), + filters: List[str] = Query([], description="Filters on dimensional attributes"), + orderby: List[str] = Query([], description="Expression to order by"), + limit: Optional[int] = Query( + None, + description="Number of rows to limit the data retrieved to", + ), + query_params: str = Query("{}", description="Query parameters"), + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + background_tasks: BackgroundTasks, + cache: Cache = Depends(get_cache), +) -> QueryWithResults: + """ + Return data for a node using server side events + """ + request_headers = dict(request.headers) + node = cast( + Node, + await Node.get_by_name(session, node_name, raise_if_not_exists=True), + ) + engine = await resolve_engine( + session=session, + node=node, + engine_name=engine_name, + engine_version=engine_version, + ) + query_cache_manager = QueryCacheManager( + cache=cache, + query_type=QueryBuildType.NODE, + ) + translated_sql = await query_cache_manager.get_or_load( + background_tasks, + request, + QueryRequestParams( + nodes=[node_name], + dimensions=dimensions, + filters=filters, + orderby=orderby, + limit=limit, + query_params=query_params, + engine_name=engine_name, + engine_version=engine_version, + use_materialized=True, + ignore_errors=False, + ), + ) + query_create = QueryCreate( + engine_name=engine.name, + catalog_name=node.current.catalog.name, # type: ignore + engine_version=engine.version, + submitted_query=translated_sql.sql, + async_=True, + ) + initial_query_info = query_service_client.submit_query( + query_create, + request_headers=request_headers, + ) + return EventSourceResponse( # pragma: no cover + query_event_stream( + query=initial_query_info, + query_service_client=query_service_client, + request_headers=request_headers, + columns=translated_sql.columns, # type: ignore + request=request, + ), + ) + + +@router.get( + "/data/query/{query_id}", + response_model=QueryWithResults, + name="Get Data For Query ID", +) +def get_data_for_query( + query_id: str, + *, + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), +) -> QueryWithResults: + """ + Return data for a specific query ID. + """ + request_headers = dict(request.headers) + try: + return query_service_client.get_query( + query_id=query_id, + request_headers=request_headers, + ) + except DJQueryServiceClientException as exc: + raise DJQueryServiceClientException( # pragma: no cover + f"DJ Query Service Error: {exc.message}", + ) from exc + + +@router.get("/data/", response_model=QueryWithResults, name="Get Data For Metrics") +async def get_data_for_metrics( + metrics: List[str] = Query([]), + dimensions: List[str] = Query([]), + filters: List[str] = Query([]), + orderby: List[str] = Query([]), + limit: Optional[int] = None, + async_: bool = False, + use_materialized: bool = Query( + default=True, + description="Whether to use materialized tables when available", + ), + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, +) -> QueryWithResults: + """ + Return data for a set of metrics with dimensions and filters. + + Uses v3 SQL builder which supports: + - Derived metrics (multi-level) + - Cube matching for materialized tables + - Grain group joins for metrics from different facts + """ + request_headers = dict(request.headers) + + # Resolve dialect and engine in a single lookup (avoids duplicate cube matching) + execution_ctx = await resolve_dialect_and_engine_for_metrics( + session=session, + metrics=metrics, + dimensions=dimensions, + use_materialized=use_materialized, + engine_name=engine_name, + engine_version=engine_version, + ) + + # Build SQL with the resolved dialect + generated_sql = await build_metrics_sql( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters if filters else None, + orderby=orderby if orderby else None, + limit=limit, + dialect=execution_ctx.dialect, + use_materialized=use_materialized, + ) + + _logger.debug( + "[/data/] Using engine=%s version=%s dialect=%s catalog=%s cube=%s for metrics=%s", + execution_ctx.engine.name, + execution_ctx.engine.version, + execution_ctx.dialect, + execution_ctx.catalog_name, + execution_ctx.cube.name if execution_ctx.cube else None, + metrics, + ) + + _logger.debug("[/data/] Final SQL:\n%s", generated_sql.sql) + + query_create = QueryCreate( + engine_name=execution_ctx.engine.name, + catalog_name=execution_ctx.catalog_name, + engine_version=execution_ctx.engine.version, + submitted_query=generated_sql.sql, + async_=async_, + ) + result = query_service_client.submit_query( + query_create, + request_headers=request_headers, + ) + + # Inject column info if there are results + if result.results.root: # pragma: no cover + result.results.root[0].columns = generated_sql.columns or [] # type: ignore + return result + + +@router.get("/stream/", response_model=QueryWithResults) +async def get_data_stream_for_metrics( + metrics: List[str] = Query([]), + dimensions: List[str] = Query([]), + filters: List[str] = Query([]), + orderby: List[str] = Query([]), + limit: Optional[int] = None, + use_materialized: bool = Query( + default=True, + description="Whether to use materialized tables when available", + ), + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + current_user: User = Depends(get_current_user), +) -> QueryWithResults: + """ + Return data for a set of metrics with dimensions and filters using server sent events. + + Uses v3 SQL builder which supports: + - Derived metrics (multi-level) + - Cube matching for materialized tables + - Grain group joins for metrics from different facts + """ + request_headers = dict(request.headers) + + # Resolve dialect and engine in a single lookup (avoids duplicate cube matching) + execution_ctx = await resolve_dialect_and_engine_for_metrics( + session=session, + metrics=metrics, + dimensions=dimensions, + use_materialized=use_materialized, + engine_name=engine_name, + engine_version=engine_version, + ) + + # Build SQL with the resolved dialect + generated_sql = await build_metrics_sql( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters if filters else None, + orderby=orderby if orderby else None, + limit=limit, + dialect=execution_ctx.dialect, + use_materialized=use_materialized, + ) + + query_create = QueryCreate( + engine_name=execution_ctx.engine.name, + catalog_name=execution_ctx.catalog_name, + engine_version=execution_ctx.engine.version, + submitted_query=generated_sql.sql, + async_=True, + ) + # Submits the query, equivalent to calling POST /data/ directly + initial_query_info = query_service_client.submit_query( + query_create, + request_headers=request_headers, + ) + return EventSourceResponse( + query_event_stream( + query=initial_query_info, + request_headers=request_headers, + query_service_client=query_service_client, + columns=[asdict(col) for col in generated_sql.columns] # type: ignore + if generated_sql.columns + else [], + request=request, + ), + ) diff --git a/datajunction-server/datajunction_server/api/deployments.py b/datajunction-server/datajunction_server/api/deployments.py new file mode 100644 index 000000000..80412d3d6 --- /dev/null +++ b/datajunction-server/datajunction_server/api/deployments.py @@ -0,0 +1,299 @@ +""" +Bulk deployment APIs. +""" + +import asyncio +import logging +import uuid + +from fastapi import Depends, BackgroundTasks, Request +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy import select +from datajunction_server.database.user import User +from datajunction_server.database.deployment import Deployment +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.internal.caching.cachelib_cache import get_cache +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.models.deployment import ( + DeploymentResult, + DeploymentSpec, + DeploymentInfo, + DeploymentSourceType, + GitDeploymentSource, + LocalDeploymentSource, +) +from datajunction_server.models.impact import DeploymentImpactResponse +from datajunction_server.internal.deployment.deployment import deploy +from datajunction_server.internal.deployment.impact import analyze_deployment_impact +from datajunction_server.internal.deployment.utils import DeploymentContext +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + AccessDenialMode, + get_access_checker, +) +from datajunction_server.models import access +from datajunction_server.models.deployment import DeploymentStatus +from datajunction_server.utils import ( + get_current_user, + get_query_service_client, + get_session, + get_settings, + session_context, +) +from abc import ABC, abstractmethod + +logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["deployments"]) + + +class DeploymentExecutor(ABC): + @abstractmethod + async def submit(self, spec: DeploymentSpec, context: DeploymentContext) -> str: + """ + Kick off a deployment job asynchronously. + Should not block. Should update deployment status externally. + """ + ... # pragma: no cover + + +class InProcessExecutor(DeploymentExecutor): + def __init__(self): + self.statuses: dict[str, DeploymentStatus] = {} + + async def submit(self, spec: DeploymentSpec, context: DeploymentContext) -> str: + deployment_uuid = str(uuid.uuid4()) + async with session_context() as session: + deployment = Deployment( + uuid=deployment_uuid, + namespace=spec.namespace, + spec=spec.model_dump(), + status=DeploymentStatus.PENDING, + created_by_id=context.current_user.id, + ) + session.add(deployment) + await session.commit() + + asyncio.create_task( + self._run_deployment( + deployment_id=deployment_uuid, + deployment_spec=spec, + context=context, + ), + ) + return deployment_uuid + + @staticmethod + async def update_status( + deployment_uuid: str, + status: DeploymentStatus, + results: list[DeploymentResult] | None = None, + ): + async with session_context() as session: + deployment = await session.get(Deployment, deployment_uuid) + deployment.status = status + if results is not None: + deployment.results = [r.model_dump() for r in results] + await session.commit() + + async def _run_deployment( + self, + deployment_id: str, + deployment_spec: DeploymentSpec, + context: DeploymentContext, + ): + await InProcessExecutor.update_status(deployment_id, DeploymentStatus.RUNNING) + + try: + async with session_context() as session: + results = await deploy( + session=session, + deployment_id=deployment_id, + deployment=deployment_spec, + context=context, + ) + final_status = ( + DeploymentStatus.SUCCESS + if all( + r.status + in ( + DeploymentResult.Status.SUCCESS, + DeploymentResult.Status.SKIPPED, + ) + for r in results + ) + else DeploymentStatus.FAILED + ) + await InProcessExecutor.update_status( + deployment_id, + final_status, + results, + ) + except Exception as exc: + logger.error("Deployment %s failed: %s", deployment_id, exc, exc_info=True) + await InProcessExecutor.update_status( + deployment_id, + DeploymentStatus.FAILED, + [ + DeploymentResult( + name=exc.__class__.__name__, + deploy_type=DeploymentResult.Type.GENERAL, + message=str(exc), + status=DeploymentResult.Status.FAILED, + operation=DeploymentResult.Operation.UNKNOWN, + ), + ], + ) + + +executor = InProcessExecutor() + + +@router.post( + "/deployments", + name="Creates a bulk deployment", + response_model=DeploymentInfo, +) +async def create_deployment( + deployment_spec: DeploymentSpec, + background_tasks: BackgroundTasks, + request: Request, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + query_service_client: QueryServiceClient = Depends(get_query_service_client), + cache: Cache = Depends(get_cache), + access_checker: AccessChecker = Depends(get_access_checker), +) -> DeploymentInfo: + """ + This endpoint takes a deployment specification (namespace, nodes, tags), topologically + sorts and validates the deployable objects, and deploys the nodes in parallel where + possible. It returns a summary of the deployment. + """ + access_checker.add_request( + access.ResourceRequest( + verb=access.ResourceAction.WRITE, + access_object=access.Resource( + resource_type=access.ResourceType.NAMESPACE, + name=deployment_spec.namespace, + ), + ), + ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + deployment_id = await executor.submit( + spec=deployment_spec, + context=DeploymentContext( + current_user=current_user, + request=request, + query_service_client=query_service_client, + background_tasks=background_tasks, + cache=cache, + ), + ) + deployment = await session.get(Deployment, deployment_id) + return DeploymentInfo( + uuid=deployment_id, + namespace=deployment.namespace, + status=deployment.status.value, + results=deployment.deployment_results, + ) + + +@router.get("/deployments/{deployment_id}", response_model=DeploymentInfo) +async def get_deployment_status( + deployment_id: str, + session: AsyncSession = Depends(get_session), +) -> DeploymentInfo: + deployment = await session.get(Deployment, deployment_id) + if not deployment: + raise DJDoesNotExistException( + message=f"Deployment {deployment_id} not found", + ) # pragma: no cover + return DeploymentInfo( + uuid=deployment_id, + namespace=deployment.namespace, + status=deployment.status.value, + results=deployment.deployment_results, + ) + + +@router.get("/deployments", response_model=list[DeploymentInfo]) +async def list_deployments( # pragma: no cover + namespace: str | None = None, + limit: int = 50, + session: AsyncSession = Depends(get_session), +) -> list[DeploymentInfo]: + statement = select(Deployment).order_by(Deployment.created_at.desc()) + if namespace: + statement = statement.where(Deployment.namespace == namespace) + statement = statement.limit(limit) + deployments = (await session.execute(statement)).scalars().all() + + results = [] + for deployment in deployments: + # Parse source from spec + source_data = deployment.spec.get("source") if deployment.spec else None + source = None + if source_data and source_data.get("type") == DeploymentSourceType.GIT: + source = GitDeploymentSource(**source_data) + elif source_data and source_data.get("type") == DeploymentSourceType.LOCAL: + source = LocalDeploymentSource(**source_data) + + results.append( + DeploymentInfo( + uuid=str(deployment.uuid), + namespace=deployment.namespace, + status=deployment.status, + results=deployment.deployment_results, + created_at=deployment.created_at.isoformat() + if deployment.created_at + else None, + created_by=deployment.created_by.username + if deployment.created_by + else None, + source=source, + ), + ) + return results + + +@router.post( + "/deployments/impact", + name="Preview deployment impact", + response_model=DeploymentImpactResponse, +) +async def preview_deployment_impact( + deployment_spec: DeploymentSpec, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> DeploymentImpactResponse: + """ + Analyze the impact of a deployment WITHOUT actually deploying. + + This endpoint takes a deployment specification and returns: + - Direct changes: What nodes will be created, updated, deleted, or skipped + - Downstream impacts: What existing nodes will be affected by these changes + - Warnings: Potential issues like breaking column changes or external impacts + + Use this endpoint to preview changes before deploying, similar to a dry-run + but with more detailed impact analysis including second and third-order effects. + """ + access_checker.add_request( + access.ResourceRequest( + verb=access.ResourceAction.READ, + access_object=access.Resource( + resource_type=access.ResourceType.NAMESPACE, + name=deployment_spec.namespace, + ), + ), + ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + return await analyze_deployment_impact( + session=session, + deployment_spec=deployment_spec, + ) diff --git a/datajunction-server/datajunction_server/api/dimensions.py b/datajunction-server/datajunction_server/api/dimensions.py new file mode 100644 index 000000000..2e8b72152 --- /dev/null +++ b/datajunction-server/datajunction_server/api/dimensions.py @@ -0,0 +1,108 @@ +""" +Dimensions related APIs. +""" + +import logging +from typing import List, Optional, cast + +from fastapi import Depends, Query +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.models.node import NodeNameOutput +from datajunction_server.api.helpers import get_node_by_name +from datajunction_server.api.nodes import list_nodes +from datajunction_server.database.node import Node +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + get_access_checker, +) +from datajunction_server.models import access +from datajunction_server.models.node import NodeIndegreeOutput +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.dag import ( + get_dimension_dag_indegree, + get_nodes_with_common_dimensions, +) +from datajunction_server.utils import ( + get_session, + get_settings, +) + +settings = get_settings() +_logger = logging.getLogger(__name__) +router = SecureAPIRouter(tags=["dimensions"]) + + +@router.get("/dimensions/", response_model=List[NodeIndegreeOutput]) +async def list_dimensions( + prefix: Optional[str] = None, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[NodeIndegreeOutput]: + """ + List all available dimensions. + """ + node_names = await list_nodes( + node_type=NodeType.DIMENSION, + prefix=prefix, + session=session, + access_checker=access_checker, + ) + node_indegrees = await get_dimension_dag_indegree(session, node_names) + return sorted( + [ + NodeIndegreeOutput(name=node, indegree=node_indegrees[node]) + for node in node_names + ], + key=lambda n: -n.indegree, + ) + + +@router.get("/dimensions/{name}/nodes/", response_model=List[NodeNameOutput]) +async def find_nodes_with_dimension( + name: str, + *, + node_type: List[NodeType] = Query([]), + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[NodeNameOutput]: + """ + List all nodes that have the specified dimension + """ + dimension_node = cast( + Node, + await Node.get_by_name(session, name, raise_if_not_exists=True), + ) + access_checker.add_node(dimension_node, access.ResourceAction.READ) + + nodes = await get_nodes_with_common_dimensions( + session, + [dimension_node], + node_type if node_type else None, + ) + access_checker.add_nodes(nodes, access.ResourceAction.READ) + approved_nodes = await access_checker.approved_resource_names() + return [node for node in nodes if node.name in approved_nodes] + + +@router.get("/dimensions/common/", response_model=List[NodeNameOutput]) +async def find_nodes_with_common_dimensions( + dimension: List[str] = Query([]), + node_type: List[NodeType] = Query([]), + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[NodeNameOutput]: + """ + Find all nodes that have the list of common dimensions + """ + nodes = await get_nodes_with_common_dimensions( + session, + [await get_node_by_name(session, dim) for dim in dimension], # type: ignore + node_type, + ) + access_checker.add_nodes(nodes, access.ResourceAction.READ) + approved_resource_names = await access_checker.approved_resource_names() + return [node for node in nodes if node.name in approved_resource_names] diff --git a/datajunction-server/datajunction_server/api/djsql.py b/datajunction-server/datajunction_server/api/djsql.py new file mode 100644 index 000000000..3de60edf2 --- /dev/null +++ b/datajunction-server/datajunction_server/api/djsql.py @@ -0,0 +1,116 @@ +""" +Data related APIs. +""" + +from typing import Optional + +from fastapi import Depends, Request +from sqlalchemy.ext.asyncio import AsyncSession +from sse_starlette.sse import EventSourceResponse + +from datajunction_server.api.helpers import build_sql_for_dj_query, query_event_stream +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + get_access_checker, +) +from datajunction_server.models.query import QueryCreate, QueryWithResults +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.utils import ( + get_query_service_client, + get_session, + get_settings, +) + +settings = get_settings() +router = SecureAPIRouter(tags=["DJSQL"]) + + +@router.get("/djsql/data", response_model=QueryWithResults) +async def get_data_for_djsql( + query: str, + async_: bool = False, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + access_checker: AccessChecker = Depends(get_access_checker), +) -> QueryWithResults: + """ + Return data for a DJ SQL query + """ + request_headers = dict(request.headers) + translated_sql, engine, catalog = await build_sql_for_dj_query( + session, + query, + access_checker, + engine_name, + engine_version, + ) + + query_create = QueryCreate( + engine_name=engine.name, + catalog_name=catalog.name, + engine_version=engine.version, + submitted_query=translated_sql.sql, + async_=async_, + ) + + result = query_service_client.submit_query( + query_create, + request_headers=request_headers, + ) + + # Inject column info if there are results + if result.results.root: # pragma: no cover + result.results.root[0].columns = translated_sql.columns or [] + return result + + +@router.get("/djsql/stream/", response_model=QueryWithResults) +async def get_data_stream_for_djsql( + query: str, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + access_checker: AccessChecker = Depends(get_access_checker), +) -> QueryWithResults: # pragma: no cover + """ + Return data for a DJ SQL query using server side events + """ + request_headers = dict(request.headers) + translated_sql, engine, catalog = await build_sql_for_dj_query( + session, + query, + access_checker, + engine_name, + engine_version, + ) + + query_create = QueryCreate( + engine_name=engine.name, + catalog_name=catalog.name, + engine_version=engine.version, + submitted_query=translated_sql.sql, + async_=True, + ) + + # Submits the query, equivalent to calling POST /data/ directly + initial_query_info = query_service_client.submit_query( + query_create, + request_headers=request_headers, + ) + return EventSourceResponse( + query_event_stream( + query=initial_query_info, + request_headers=request_headers, + query_service_client=query_service_client, + columns=translated_sql.columns, # type: ignore + request=request, + ), + ) diff --git a/datajunction-server/datajunction_server/api/engines.py b/datajunction-server/datajunction_server/api/engines.py new file mode 100644 index 000000000..291fb3890 --- /dev/null +++ b/datajunction-server/datajunction_server/api/engines.py @@ -0,0 +1,100 @@ +""" +Engine related APIs. +""" + +from http import HTTPStatus +from typing import List + +from fastapi import Depends, HTTPException +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.engine import Engine +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.engines import get_engine +from datajunction_server.models.engine import EngineInfo +from datajunction_server.models.dialect import DialectRegistry, DialectInfo +from datajunction_server.utils import get_session, get_settings + +settings = get_settings() +router = SecureAPIRouter(tags=["engines"]) + + +@router.get("/dialects", response_model=list[DialectInfo]) +async def list_dialects(): + """ + Returns a list of registered SQL dialects and their associated transpilation plugin class names. + """ + return [ + DialectInfo( + name=dialect, + plugin_class=plugin.__name__, + ) + for dialect, plugin in DialectRegistry._registry.items() + ] + + +@router.get("/engines/", response_model=List[EngineInfo]) +async def list_engines( + *, + session: AsyncSession = Depends(get_session), +) -> List[EngineInfo]: + """ + List all available engines + """ + return [ + EngineInfo.model_validate(engine) + for engine in (await session.execute(select(Engine))).scalars() + ] + + +@router.get("/engines/{name}/{version}/", response_model=EngineInfo) +async def get_an_engine( + name: str, + version: str, + *, + session: AsyncSession = Depends(get_session), +) -> EngineInfo: + """ + Return an engine by name and version + """ + return EngineInfo.model_validate( + await get_engine(session, name, version), + ) + + +@router.post( + "/engines/", + response_model=EngineInfo, + status_code=201, + name="Add An Engine", +) +async def add_engine( + data: EngineInfo, + *, + session: AsyncSession = Depends(get_session), +) -> EngineInfo: + """ + Add a new engine + """ + try: + await get_engine(session, data.name, data.version) + except HTTPException: + pass + else: + raise HTTPException( + status_code=HTTPStatus.CONFLICT, + detail=f"Engine already exists: `{data.name}` version `{data.version}`", + ) + + engine = Engine( + name=data.name, + version=data.version, + uri=data.uri, + dialect=data.dialect, + ) + session.add(engine) + await session.commit() + await session.refresh(engine) + + return EngineInfo.model_validate(engine) diff --git a/datajunction-server/datajunction_server/api/graphql/__init__.py b/datajunction-server/datajunction_server/api/graphql/__init__.py new file mode 100644 index 000000000..1f96c11e1 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/__init__.py @@ -0,0 +1,3 @@ +""" +DJ graphql api +""" diff --git a/datajunction-server/datajunction_server/api/graphql/main.py b/datajunction-server/datajunction_server/api/graphql/main.py new file mode 100644 index 000000000..fa3b0f345 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/main.py @@ -0,0 +1,167 @@ +"""DJ graphql""" + +import logging +from functools import wraps + +import strawberry +from fastapi import Depends, Request, BackgroundTasks +from strawberry.fastapi import GraphQLRouter +from strawberry.types import Info + +from datajunction_server.internal.caching.cachelib_cache import get_cache +from datajunction_server.internal.access.authentication.http import DJHTTPBearer +from datajunction_server.api.graphql.queries.catalogs import list_catalogs +from datajunction_server.api.graphql.queries.dag import ( + common_dimensions, + downstream_nodes, + upstream_nodes, +) +from datajunction_server.api.graphql.queries.engines import list_engines, list_dialects +from datajunction_server.api.graphql.queries.nodes import ( + find_nodes, + find_nodes_paginated, +) +from datajunction_server.api.graphql.queries.sql import ( + measures_sql, + materialization_plan, +) +from datajunction_server.api.graphql.queries.tags import list_tag_types, list_tags +from datajunction_server.api.graphql.scalars import Connection +from datajunction_server.api.graphql.scalars.catalog_engine import ( + Catalog, + Engine, + DialectInfo, +) +from datajunction_server.api.graphql.scalars.node import DimensionAttribute, Node +from datajunction_server.api.graphql.scalars.sql import ( + GeneratedSQL, + MaterializationPlan, +) +from datajunction_server.api.graphql.scalars.tag import Tag +from datajunction_server.utils import get_session, get_settings + +logger = logging.getLogger(__name__) + + +def log_resolver(func): + """ + Adds generic logging to the GQL resolver. + """ + + @wraps(func) + async def wrapper(*args, **kwargs): + resolver_name = func.__name__ + + info: Info = kwargs.get("info") if "info" in kwargs else None + user = info.context.get("user", "anonymous") if info else "unknown" + args_dict = {key: val for key, val in kwargs.items() if key != "info"} + log_tags = { + "query_name": resolver_name, + "user": user, + **args_dict, + } + log_args = " ".join( + [f"{tag}={value}" for tag, value in log_tags.items() if value], + ) + try: + result = await func(*args, **kwargs) + logger.info("[GQL] %s", log_args) + return result + except Exception as exc: # pragma: no cover + logger.error( # pragma: no cover + "[GQL] status=error %s", + log_args, + exc_info=True, + ) + raise exc # pragma: no cover + + return wrapper + + +async def get_context( + request: Request, + background_tasks: BackgroundTasks, + db_session=Depends(get_session), + cache=Depends(get_cache), + _auth=Depends(DJHTTPBearer(auto_error=False)), +): + """ + Provides the context for graphql requests + """ + return { + "session": db_session, + "settings": get_settings(), + "request": request, + "background_tasks": background_tasks, + "cache": cache, + } + + +@strawberry.type +class Query: + """ + Parent of all DJ graphql queries + """ + + # Catalog and engine queries + list_catalogs: list[Catalog] = strawberry.field( + resolver=log_resolver(list_catalogs), + description="List available catalogs", + ) + list_engines: list[Engine] = strawberry.field( + resolver=log_resolver(list_engines), + description="List all available engines", + ) + list_dialects: list[DialectInfo] = strawberry.field( + resolver=log_resolver(list_dialects), + description="List all supported SQL dialects", + ) + + # Node search queries + find_nodes: list[Node] = strawberry.field( + resolver=log_resolver(find_nodes), + description="Find nodes based on the search parameters.", + ) + find_nodes_paginated: Connection[Node] = strawberry.field( + resolver=log_resolver(find_nodes_paginated), + description="Find nodes based on the search parameters with pagination", + ) + + # DAG queries + common_dimensions: list[DimensionAttribute] = strawberry.field( + resolver=log_resolver(common_dimensions), + description="Get common dimensions for one or more nodes", + ) + downstream_nodes: list[Node] = strawberry.field( + resolver=log_resolver(downstream_nodes), + description="Find downstream nodes (optionally, of a given type) from a given node.", + ) + upstream_nodes: list[Node] = strawberry.field( + resolver=log_resolver(upstream_nodes), + description="Find upstream nodes (optionally, of a given type) from a given node.", + ) + + # Generate SQL queries + measures_sql: list[GeneratedSQL] = strawberry.field( + resolver=log_resolver(measures_sql), + description="Get measures SQL for a list of metrics, dimensions, and filters.", + ) + materialization_plan: MaterializationPlan = strawberry.field( + resolver=log_resolver(materialization_plan), + description="Get materialization plan for a list of metrics, dimensions, and filters.", + ) + + # Tags queries + list_tags: list[Tag] = strawberry.field( + resolver=log_resolver(list_tags), + description="Find DJ node tags based on the search parameters.", + ) + list_tag_types: list[str] = strawberry.field( + resolver=log_resolver(list_tag_types), + description="List all DJ node tag types", + ) + + +schema = strawberry.Schema(query=Query) + +graphql_app = GraphQLRouter(schema, context_getter=get_context) diff --git a/datajunction-server/datajunction_server/api/graphql/queries/__init__.py b/datajunction-server/datajunction_server/api/graphql/queries/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/api/graphql/queries/catalogs.py b/datajunction-server/datajunction_server/api/graphql/queries/catalogs.py new file mode 100644 index 000000000..65e49fb04 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/queries/catalogs.py @@ -0,0 +1,25 @@ +""" +Catalog related queries. +""" + +from typing import List + +from sqlalchemy import select +from strawberry.types import Info + +from datajunction_server.api.graphql.scalars.catalog_engine import Catalog +from datajunction_server.database.catalog import Catalog as DBCatalog + + +async def list_catalogs( + *, + info: Info = None, +) -> List[Catalog]: + """ + List all available catalogs + """ + session = info.context["session"] # type: ignore + return [ + Catalog.from_pydantic(catalog) # type: ignore + for catalog in (await session.execute(select(DBCatalog))).scalars().all() + ] diff --git a/datajunction-server/datajunction_server/api/graphql/queries/dag.py b/datajunction-server/datajunction_server/api/graphql/queries/dag.py new file mode 100644 index 000000000..6d316f936 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/queries/dag.py @@ -0,0 +1,140 @@ +""" +DAG-related queries. +""" + +from typing import Annotated + +import strawberry +from strawberry.types import Info + +from datajunction_server.database.node import Node +from datajunction_server.api.graphql.resolvers.nodes import ( + find_nodes_by, + load_node_options, +) +from datajunction_server.api.graphql.scalars.node import DimensionAttribute +from datajunction_server.api.graphql.utils import extract_fields +from datajunction_server.sql.dag import ( + get_common_dimensions, + get_downstream_nodes, + get_upstream_nodes, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.utils import SEPARATOR + + +async def common_dimensions( + nodes: Annotated[ + list[str] | None, + strawberry.argument( + description="A list of nodes to find common dimensions for", + ), + ] = None, + *, + info: Info, +) -> list[DimensionAttribute]: + """ + Return a list of common dimensions for a set of nodes. + """ + nodes = await find_nodes_by(info, nodes) # type: ignore + dimensions = await get_common_dimensions(info.context["session"], nodes) # type: ignore + return [ + DimensionAttribute( # type: ignore + name=dim.name, + attribute=dim.name.split(SEPARATOR)[-1], + properties=dim.properties, # type: ignore + type=dim.type, # type: ignore + ) + for dim in dimensions + ] + + +async def downstream_nodes( + node_names: Annotated[ + list[str], + strawberry.argument( + description="The node names to find downstream nodes for.", + ), + ], + node_type: Annotated[ + NodeType | None, + strawberry.argument( + description="The node type to filter the downstream nodes on.", + ), + ] = None, + include_deactivated: Annotated[ + bool, + strawberry.argument( + description="Whether to include deactivated nodes in the result.", + ), + ] = False, + *, + info: Info, +) -> list[Node]: + """ + Return a list of downstream nodes for one or more nodes. + Results are deduplicated by node ID. + + Note: Unlike upstreams, downstreams uses per-node queries because the + fanout threshold check and BFS fallback work better with single nodes. + """ + session = info.context["session"] + + # Build load options based on requested GraphQL fields + fields = extract_fields(info) + options = load_node_options(fields) + + all_downstreams: dict[int, Node] = {} + for node_name in node_names: + downstreams = await get_downstream_nodes( + session, + node_name=node_name, + node_type=node_type, + include_deactivated=include_deactivated, + options=options, + ) + for node in downstreams: + if node.id not in all_downstreams: # pragma: no cover + all_downstreams[node.id] = node + return list(all_downstreams.values()) + + +async def upstream_nodes( + node_names: Annotated[ + list[str], + strawberry.argument( + description="The node names to find upstream nodes for.", + ), + ], + node_type: Annotated[ + NodeType | None, + strawberry.argument( + description="The node type to filter the upstream nodes on.", + ), + ] = None, + include_deactivated: Annotated[ + bool, + strawberry.argument( + description="Whether to include deactivated nodes in the result.", + ), + ] = False, + *, + info: Info, +) -> list[Node]: + """ + Return a list of upstream nodes for one or more nodes. + Results are deduplicated by node ID. + """ + session = info.context["session"] + + # Build load options based on requested GraphQL fields + fields = extract_fields(info) + options = load_node_options(fields) + + return await get_upstream_nodes( # type: ignore + session, + node_name=node_names, + node_type=node_type, + include_deactivated=include_deactivated, + options=options, + ) diff --git a/datajunction-server/datajunction_server/api/graphql/queries/engines.py b/datajunction-server/datajunction_server/api/graphql/queries/engines.py new file mode 100644 index 000000000..a673b9726 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/queries/engines.py @@ -0,0 +1,42 @@ +""" +Engine related queries. +""" + +from typing import List + +from sqlalchemy import select +from strawberry.types import Info + +from datajunction_server.models.dialect import DialectRegistry +from datajunction_server.api.graphql.scalars.catalog_engine import Engine, DialectInfo +from datajunction_server.database.engine import Engine as DBEngine + + +async def list_engines( + *, + info: Info = None, +) -> List[Engine]: + """ + List all available engines + """ + session = info.context["session"] # type: ignore + return [ + Engine.from_pydantic(engine) # type: ignore #pylint: disable=E1101 + for engine in (await session.execute(select(DBEngine))).scalars().all() + ] + + +async def list_dialects( + *, + info: Info = None, +) -> List[DialectInfo]: + """ + List all supported dialects + """ + return [ + DialectInfo( # type: ignore + name=dialect, + plugin_class=plugin.__name__, + ) + for dialect, plugin in DialectRegistry._registry.items() + ] diff --git a/datajunction-server/datajunction_server/api/graphql/queries/nodes.py b/datajunction-server/datajunction_server/api/graphql/queries/nodes.py new file mode 100644 index 000000000..b014db402 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/queries/nodes.py @@ -0,0 +1,287 @@ +""" +Find nodes GraphQL queries. +""" + +import logging +from typing import Annotated + +import strawberry +from strawberry.types import Info + +from datajunction_server.api.graphql.resolvers.nodes import find_nodes_by +from datajunction_server.api.graphql.scalars import Connection +from datajunction_server.api.graphql.scalars.node import Node, NodeSortField +from datajunction_server.models.node import NodeCursor, NodeMode, NodeStatus, NodeType + +DEFAULT_LIMIT = 1000 +UPPER_LIMIT = 10000 + +logger = logging.getLogger(__name__) + + +async def find_nodes( + fragment: Annotated[ + str | None, + strawberry.argument( + description="A fragment of a node name to search for", + ), + ] = None, + names: Annotated[ + list[str] | None, + strawberry.argument( + description="Filter to nodes with these names", + ), + ] = None, + node_types: Annotated[ + list[NodeType] | None, + strawberry.argument( + description="Filter nodes to these node types", + ), + ] = None, + tags: Annotated[ + list[str] | None, + strawberry.argument( + description="Filter to nodes tagged with these tags", + ), + ] = None, + dimensions: Annotated[ + list[str] | None, + strawberry.argument( + description="Filter to nodes that have ALL of these dimensions. " + "Accepts dimension node names or dimension attributes", + ), + ] = None, + edited_by: Annotated[ + str | None, + strawberry.argument( + description="Filter to nodes edited by this user", + ), + ] = None, + namespace: Annotated[ + str | None, + strawberry.argument( + description="Filter to nodes in this namespace", + ), + ] = None, + mode: Annotated[ + NodeMode | None, + strawberry.argument( + description="Filter to nodes with this mode (published or draft)", + ), + ] = None, + owned_by: Annotated[ + str | None, + strawberry.argument( + description="Filter to nodes owned by this user", + ), + ] = None, + missing_description: Annotated[ + bool, + strawberry.argument( + description="Filter to nodes missing descriptions (for data quality checks)", + ), + ] = False, + missing_owner: Annotated[ + bool, + strawberry.argument( + description="Filter to nodes without any owners (for data quality checks)", + ), + ] = False, + statuses: Annotated[ + list[NodeStatus] | None, + strawberry.argument( + description="Filter to nodes with these statuses (e.g., VALID, INVALID)", + ), + ] = None, + has_materialization: Annotated[ + bool, + strawberry.argument( + description="Filter to nodes that have materializations configured", + ), + ] = False, + orphaned_dimension: Annotated[ + bool, + strawberry.argument( + description="Filter to dimension nodes that are not linked to by any other node", + ), + ] = False, + limit: Annotated[ + int | None, + strawberry.argument(description="Limit nodes"), + ] = DEFAULT_LIMIT, + order_by: NodeSortField = NodeSortField.CREATED_AT, + ascending: bool = False, + *, + info: Info, +) -> list[Node]: + """ + Find nodes based on the search parameters. + """ + if not limit or limit < 0: + limit = DEFAULT_LIMIT + + if limit > UPPER_LIMIT: + logger.warning( + "Limit of %s is greater than the maximum limit of %s. Setting limit to %s.", + limit, + UPPER_LIMIT, + UPPER_LIMIT, + ) + limit = UPPER_LIMIT + + return await find_nodes_by( # type: ignore + info=info, + names=names, + fragment=fragment, + node_types=node_types, + tags=tags, + dimensions=dimensions, + edited_by=edited_by, + namespace=namespace, + mode=mode, + owned_by=owned_by, + missing_description=missing_description, + missing_owner=missing_owner, + statuses=statuses, + has_materialization=has_materialization, + orphaned_dimension=orphaned_dimension, + limit=limit, + order_by=order_by, + ascending=ascending, + ) + + +async def find_nodes_paginated( + fragment: Annotated[ + str | None, + strawberry.argument( + description="A fragment of a node name to search for", + ), + ] = None, + names: Annotated[ + list[str] | None, + strawberry.argument( + description="Filter to nodes with these names", + ), + ] = None, + node_types: Annotated[ + list[NodeType] | None, + strawberry.argument( + description="Filter nodes to these node types", + ), + ] = None, + tags: Annotated[ + list[str] | None, + strawberry.argument( + description="Filter to nodes tagged with these tags", + ), + ] = None, + dimensions: Annotated[ + list[str] | None, + strawberry.argument( + description="Filter to nodes that have ALL of these dimensions. " + "Accepts dimension node names or dimension attributes", + ), + ] = None, + edited_by: Annotated[ + str | None, + strawberry.argument( + description="Filter to nodes edited by this user", + ), + ] = None, + namespace: Annotated[ + str | None, + strawberry.argument( + description="Filter to nodes in this namespace", + ), + ] = None, + mode: Annotated[ + NodeMode | None, + strawberry.argument( + description="Filter to nodes with this mode (published or draft)", + ), + ] = None, + owned_by: Annotated[ + str | None, + strawberry.argument( + description="Filter to nodes owned by this user", + ), + ] = None, + missing_description: Annotated[ + bool, + strawberry.argument( + description="Filter to nodes missing descriptions (for data quality checks)", + ), + ] = False, + missing_owner: Annotated[ + bool, + strawberry.argument( + description="Filter to nodes without any owners (for data quality checks)", + ), + ] = False, + statuses: Annotated[ + list[NodeStatus] | None, + strawberry.argument( + description="Filter to nodes with these statuses (e.g., VALID, INVALID)", + ), + ] = None, + has_materialization: Annotated[ + bool, + strawberry.argument( + description="Filter to nodes that have materializations configured", + ), + ] = False, + orphaned_dimension: Annotated[ + bool, + strawberry.argument( + description="Filter to dimension nodes that are not linked to by any other node", + ), + ] = False, + after: str | None = None, + before: str | None = None, + limit: Annotated[ + int | None, + strawberry.argument(description="Limit nodes"), + ] = 100, + order_by: NodeSortField = NodeSortField.CREATED_AT, + ascending: bool = False, + *, + info: Info, +) -> Connection[Node]: + """ + Find nodes based on the search parameters. + """ + if not limit or limit < 0: + limit = 100 + nodes_list = await find_nodes_by( + info=info, + names=names, + fragment=fragment, + node_types=node_types, + tags=tags, + dimensions=dimensions, + edited_by=edited_by, + namespace=namespace, + limit=limit + 1, + before=before, + after=after, + order_by=order_by, + ascending=ascending, + mode=mode, + owned_by=owned_by, + missing_description=missing_description, + missing_owner=missing_owner, + statuses=statuses, + has_materialization=has_materialization, + orphaned_dimension=orphaned_dimension, + ) + return Connection.from_list( + items=nodes_list, + before=before, + after=after, + limit=limit, + encode_cursor=lambda dj_node: NodeCursor( + created_at=dj_node.created_at, + id=dj_node.id, + ), + ) diff --git a/datajunction-server/datajunction_server/api/graphql/queries/sql.py b/datajunction-server/datajunction_server/api/graphql/queries/sql.py new file mode 100644 index 000000000..11180f3a7 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/queries/sql.py @@ -0,0 +1,191 @@ +"""Generate SQL-related GraphQL queries.""" + +from typing import Annotated, Optional + +import strawberry +from strawberry.types import Info +from strawberry.scalars import JSON +from datajunction_server.internal.caching.query_cache_manager import ( + QueryCacheManager, + QueryRequestParams, +) +from datajunction_server.database.queryrequest import QueryBuildType + +from datajunction_server.api.graphql.resolvers.nodes import ( + get_metrics, + resolve_metrics_and_dimensions, + find_nodes_by, +) +from datajunction_server.utils import SEPARATOR +from datajunction_server.sql.parsing.backends.antlr4 import parse, ast +from datajunction_server.models.cube_materialization import Aggregability +from datajunction_server.api.graphql.scalars.sql import ( + GeneratedSQL, + CubeDefinition, + EngineSettings, + MaterializationPlan, + MaterializationUnit, + VersionedRef, + MetricComponent, +) +from datajunction_server.construction.build import group_metrics_by_parent + + +async def measures_sql( + cube: CubeDefinition, + engine: Optional[EngineSettings] = None, + use_materialized: Annotated[ + bool, + strawberry.argument( + description="Whether to use materialized nodes where applicable", + ), + ] = True, + include_all_columns: Annotated[ + bool, + strawberry.argument( + description="Whether to include all columns or only those necessary " + "for the metrics and dimensions in the cube", + ), + ] = False, + preaggregate: Annotated[ + bool, + strawberry.argument( + description="Whether to pre-aggregate to the requested dimensions so that " + "subsequent queries are more efficient.", + ), + ] = False, + query_parameters: Annotated[ + JSON | None, + strawberry.argument( + description="Query parameters to include in the SQL", + ), + ] = None, + *, + info: Info, +) -> list[GeneratedSQL]: + """ + Get measures SQL for a set of metrics with dimensions and filters + """ + session = info.context["session"] + metrics, dimensions = await resolve_metrics_and_dimensions(session, cube) + query_cache_manager = QueryCacheManager( + cache=info.context["cache"], + query_type=QueryBuildType.MEASURES, + ) + queries = await query_cache_manager.get_or_load( + info.context["background_tasks"], + info.context["request"], + QueryRequestParams( + nodes=metrics, + dimensions=dimensions, + filters=cube.filters, + engine_name=engine.name if engine else None, + engine_version=engine.version if engine else None, + orderby=cube.orderby, + query_params=query_parameters, + include_all_columns=include_all_columns, + preaggregate=preaggregate, + use_materialized=use_materialized, + ), + ) + return [ + await GeneratedSQL.from_pydantic(info, measures_query) + for measures_query in queries + ] + + +async def materialization_plan( + cube: CubeDefinition, + *, + info: Info, +) -> MaterializationPlan: + """ + This constructs a `MaterializationPlan` by computing all the versioned entities (metrics, + measures, dimensions, filters) required to materialize the cube. + """ + session = info.context["session"] + metrics, dimensions = await resolve_metrics_and_dimensions(session, cube) + + metric_nodes = await get_metrics(session, metrics=metrics) + + # Extract dimension references from filters + filter_refs = [ + filter_dim.identifier() + for filter_expr in cube.filters or [] + for filter_dim in parse(f"SELECT 1 WHERE {filter_expr}").find_all(ast.Column) + ] + + # Resolve nodes for dimensions and filter references + all_ref_nodes = {dim.rsplit(SEPARATOR, 1)[0] for dim in dimensions + filter_refs} + nodes_lookup = { + node.name: node for node in await find_nodes_by(info, list(all_ref_nodes)) + } + + # Group the metrics by upstream node + grouped_metrics = await group_metrics_by_parent(session, metric_nodes) + units = [] + for upstream_node, metrics_in_group in grouped_metrics.items(): + # Ensure frozen measures are loaded + for metric in metrics_in_group: + await session.refresh(metric, ["frozen_measures"]) + + # Deduplicate and collect all frozen measures + measures = { + fm.name: MetricComponent( # type: ignore + name=fm.name, + expression=fm.expression, + rule=fm.rule, + aggregation=fm.aggregation, + ) + for metric in metrics_in_group + for fm in metric.frozen_measures + }.values() + + # Determine grain dimensions based on aggregability + limited_agg_measures = [ + m + for m in measures + if m.rule.type == Aggregability.LIMITED # type: ignore + ] + non_agg_measures = [ + m + for m in measures + if m.rule.type == Aggregability.NONE # type: ignore + ] + + if non_agg_measures: + grain_dimensions = [] # pragma: no cover + else: + grain_from_rules = [ + dim + for m in limited_agg_measures + for dim in m.rule.level # type: ignore + ] + grain_from_dims = [ + nodes_lookup[dim.rsplit(SEPARATOR, 1)[0]] for dim in dimensions + ] + grain_dimensions = grain_from_rules + grain_from_dims + + # Construct materialization unit + unit = MaterializationUnit( # type: ignore + upstream=VersionedRef( # type: ignore + name=upstream_node.name, + version=upstream_node.current_version, + ), + grain_dimensions=[ + VersionedRef(name=dim.name, version=dim.current_version) # type: ignore + for dim in grain_dimensions + ], + measures=list(measures), + filter_refs=[ + VersionedRef( # type: ignore + name=ref, + version=nodes_lookup[ref.rsplit(SEPARATOR, 1)[0]].current_version, + ) + for ref in filter_refs + ], + filters=cube.filters, + ) + units.append(unit) + + return MaterializationPlan(units=units) # type: ignore diff --git a/datajunction-server/datajunction_server/api/graphql/queries/tags.py b/datajunction-server/datajunction_server/api/graphql/queries/tags.py new file mode 100644 index 000000000..8e27b0249 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/queries/tags.py @@ -0,0 +1,42 @@ +""" +Tags related queries. +""" + +from strawberry.types import Info + +from datajunction_server.api.graphql.scalars.tag import Tag +from datajunction_server.database.tag import Tag as DBTag + + +async def list_tags( + *, + info: Info = None, + tag_names: list[str] | None = None, + tag_types: list[str] | None = None, +) -> list[Tag]: + """ + Find available tags by the search parameters + """ + session = info.context["session"] # type: ignore + db_tags = await DBTag.find_tags(session, tag_names, tag_types) + return [ + Tag( # type: ignore + name=db_tag.name, + display_name=db_tag.display_name, + description=db_tag.description, + tag_type=db_tag.tag_type, + tag_metadata=db_tag.tag_metadata, + ) + for db_tag in db_tags + ] + + +async def list_tag_types( + *, + info: Info = None, +) -> list[str]: + """ + List all tag types + """ + session = info.context["session"] # type: ignore + return await DBTag.get_tag_types(session) diff --git a/datajunction-server/datajunction_server/api/graphql/resolvers/__init__.py b/datajunction-server/datajunction_server/api/graphql/resolvers/__init__.py new file mode 100644 index 000000000..4daec0512 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/resolvers/__init__.py @@ -0,0 +1 @@ +"""GraphQL resolvers""" diff --git a/datajunction-server/datajunction_server/api/graphql/resolvers/nodes.py b/datajunction-server/datajunction_server/api/graphql/resolvers/nodes.py new file mode 100644 index 000000000..4765aae5f --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/resolvers/nodes.py @@ -0,0 +1,399 @@ +""" +Node resolvers +""" + +from collections import OrderedDict +from typing import Any, List, Optional + +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import defer, joinedload, load_only, noload, selectinload +from strawberry.types import Info + +from datajunction_server.errors import DJNodeNotFound +from datajunction_server.api.graphql.scalars.node import NodeName, NodeSortField +from datajunction_server.api.graphql.scalars.sql import CubeDefinition +from datajunction_server.api.graphql.utils import dedupe_append, extract_fields +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.node import Column, ColumnAttribute +from datajunction_server.database.node import Node as DBNode +from datajunction_server.database.node import NodeRevision as DBNodeRevision +from datajunction_server.models.node import NodeMode, NodeStatus, NodeType + + +async def find_nodes_by( + info: Info, + names: Optional[List[str]] = None, + fragment: Optional[str] = None, + node_types: Optional[List[NodeType]] = None, + tags: Optional[List[str]] = None, + edited_by: Optional[str] = None, + namespace: Optional[str] = None, + limit: Optional[int] = 100, + before: Optional[str] = None, + after: Optional[str] = None, + order_by: NodeSortField = NodeSortField.CREATED_AT, + ascending: bool = False, + mode: Optional[NodeMode] = None, + owned_by: Optional[str] = None, + missing_description: bool = False, + missing_owner: bool = False, + dimensions: Optional[List[str]] = None, + statuses: Optional[List[NodeStatus]] = None, + has_materialization: bool = False, + orphaned_dimension: bool = False, +) -> List[DBNode]: + """ + Finds nodes based on the search parameters. This function also tries to optimize + the database query by only retrieving joined-in fields if they were requested. + """ + session = info.context["session"] # type: ignore + fields = extract_fields(info) + options = load_node_options( + fields["nodes"] + if "nodes" in fields + else fields["edges"]["node"] + if "edges" in fields + else fields, + ) + return await DBNode.find_by( + session, + names, + fragment, + node_types, + tags, + edited_by, + namespace, + limit, + before, + after, + order_by=order_by.column, + ascending=ascending, + options=options, + mode=mode, + owned_by=owned_by, + missing_description=missing_description, + missing_owner=missing_owner, + statuses=statuses, + has_materialization=has_materialization, + orphaned_dimension=orphaned_dimension, + dimensions=dimensions, + ) + + +async def get_node_by_name( + session: AsyncSession, + fields: dict[str, Any] | None, + name: str, +) -> DBNode | NodeName | None: + """ + Retrieves a node by name. This function also tries to optimize the database + query by only retrieving joined-in fields if they were requested. + """ + if not fields: + return None # pragma: no cover + if "name" in fields and len(fields) == 1: + return NodeName(name=name) # type: ignore + + options = load_node_options( + fields["nodes"] + if "nodes" in fields + else fields["edges"]["node"] + if "edges" in fields + else fields, + ) + return await DBNode.get_by_name( + session, + name=name, + options=options, + ) + + +def load_node_options(fields): + """ + Based on the GraphQL query input fields, builds a list of node load options. + Uses noload() to prevent lazy loading for unrequested fields. + """ + options = [] + + if "revisions" in fields: + node_revision_options = load_node_revision_options(fields["revisions"]) + options.append(joinedload(DBNode.revisions).options(*node_revision_options)) + else: + options.append(noload(DBNode.revisions)) + + if fields.get("current"): + node_revision_options = load_node_revision_options(fields["current"]) + options.append(joinedload(DBNode.current).options(*node_revision_options)) + else: + options.append(noload(DBNode.current)) + + if "created_by" in fields: + options.append(selectinload(DBNode.created_by)) + else: + options.append(noload(DBNode.created_by)) + + if "owners" in fields: + options.append(selectinload(DBNode.owners)) + else: + options.append(noload(DBNode.owners)) + + if "edited_by" in fields: + options.append(selectinload(DBNode.history)) + else: + options.append(noload(DBNode.history)) + + if "tags" in fields: + options.append(selectinload(DBNode.tags)) + else: + options.append(noload(DBNode.tags)) + + # Always noload children - not exposed in GraphQL + options.append(noload(DBNode.children)) + + return options + + +def build_cube_metrics_node_revision_options(requested_fields): + """ + Build loading options for NodeRevision objects returned by cube_metrics. + cube_metrics returns List[NodeRevision], so Strawberry will serialize them + based on the requested subfields. + """ + options = [ + defer(DBNodeRevision.query_ast), + # Always noload these - not needed for cube_metrics NodeRevision + noload(DBNodeRevision.node), + noload(DBNodeRevision.created_by), + noload(DBNodeRevision.missing_parents), + noload(DBNodeRevision.cube_elements), + noload(DBNodeRevision.required_dimensions), + noload(DBNodeRevision.parents), + noload(DBNodeRevision.dimension_links), + noload(DBNodeRevision.availability), + noload(DBNodeRevision.materializations), + ] + + # Only load relationships if they're requested + if requested_fields and "columns" in requested_fields: + options.append( + selectinload(DBNodeRevision.columns).options( + joinedload(Column.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + joinedload(Column.dimension), + joinedload(Column.partition), + ), + ) + else: + options.append(noload(DBNodeRevision.columns)) + + if requested_fields and "catalog" in requested_fields: + options.append(joinedload(DBNodeRevision.catalog)) + else: + options.append(noload(DBNodeRevision.catalog)) + + if requested_fields and "metric_metadata" in requested_fields: + options.append(selectinload(DBNodeRevision.metric_metadata)) + else: + options.append(noload(DBNodeRevision.metric_metadata)) + + return options + + +def build_cube_dimensions_node_revision_options(): + """ + Build loading options for NodeRevision objects used by cube_dimensions. + cube_dimensions returns List[DimensionAttribute] which is constructed manually, + so we only need minimal NodeRevision fields (name, type). + """ + return [ + # Only load what cube_dimensions needs: name, type + load_only(DBNodeRevision.id, DBNodeRevision.name, DBNodeRevision.type), + defer(DBNodeRevision.query_ast), + # Noload all relationships - cube_dimensions builds DimensionAttribute manually + noload(DBNodeRevision.node), + noload(DBNodeRevision.created_by), + noload(DBNodeRevision.missing_parents), + noload(DBNodeRevision.cube_elements), + noload(DBNodeRevision.required_dimensions), + noload(DBNodeRevision.parents), + noload(DBNodeRevision.dimension_links), + noload(DBNodeRevision.availability), + noload(DBNodeRevision.materializations), + noload(DBNodeRevision.columns), + noload(DBNodeRevision.catalog), + noload(DBNodeRevision.metric_metadata), + ] + + +def load_node_revision_options(node_revision_fields): + """ + Based on the GraphQL query input fields, builds a list of node revision + load options. Uses noload() to prevent lazy loading for unrequested fields. + """ + options = [defer(DBNodeRevision.query_ast)] + is_cube_request = ( + "cube_metrics" in node_revision_fields + or "cube_dimensions" in node_revision_fields + ) + + # Get the subfields requested for cube_metrics/cube_dimensions + cube_metric_fields = ( + node_revision_fields.get("cube_metrics") if node_revision_fields else None + ) + cube_dimension_fields = ( + node_revision_fields.get("cube_dimensions") if node_revision_fields else None + ) + + # Handle columns + if "columns" in node_revision_fields or "primary_key" in node_revision_fields: + # Full columns with all relationships needed for columns/primary_key queries + options.append( + selectinload(DBNodeRevision.columns).options( + joinedload(Column.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + joinedload(Column.dimension), + joinedload(Column.partition), + ), + ) + elif is_cube_request: + # Minimal columns for cube_metrics/cube_dimensions + # Only load the columns we need: name, order, dimension_column + options.append( + selectinload(DBNodeRevision.columns).options( + load_only( + Column.id, + Column.name, + Column.order, + Column.dimension_column, + ), + noload(Column.attributes), + noload(Column.dimension), + noload(Column.partition), + ), + ) + else: + options.append(noload(DBNodeRevision.columns)) + + # Handle catalog - has lazy="joined" by default which we want to prevent + if "catalog" in node_revision_fields: + options.append(joinedload(DBNodeRevision.catalog)) + else: + options.append(noload(DBNodeRevision.catalog)) + + # Handle parents + if "parents" in node_revision_fields: + options.append(selectinload(DBNodeRevision.parents)) + else: + options.append(noload(DBNodeRevision.parents)) + + # Handle materializations + if "materializations" in node_revision_fields: + options.append(selectinload(DBNodeRevision.materializations)) + else: + options.append(noload(DBNodeRevision.materializations)) + + # Handle metric_metadata + if "metric_metadata" in node_revision_fields: + options.append(selectinload(DBNodeRevision.metric_metadata)) + else: + options.append(noload(DBNodeRevision.metric_metadata)) + + # Handle availability + if "availability" in node_revision_fields: + options.append(selectinload(DBNodeRevision.availability)) + else: + options.append(noload(DBNodeRevision.availability)) + + # Handle dimension_links + if "dimension_links" in node_revision_fields: + options.append( + selectinload(DBNodeRevision.dimension_links).options( + joinedload(DimensionLink.dimension).options( + selectinload(DBNode.current), + ), + ), + ) + else: + options.append(noload(DBNodeRevision.dimension_links)) + + # Handle required_dimensions + if "required_dimensions" in node_revision_fields: + options.append( + selectinload(DBNodeRevision.required_dimensions), + ) + else: + options.append(noload(DBNodeRevision.required_dimensions)) + + # Handle cube_elements + if "cube_elements" in node_revision_fields or is_cube_request: + # Build optimized options for nested NodeRevision based on what's requested + # cube_metrics returns List[NodeRevision] - needs full serialization based on requested fields + # cube_dimensions returns List[DimensionAttribute] - only needs name, type from NodeRevision + if cube_metric_fields: + # cube_metrics needs full NodeRevision serialization + nested_options = build_cube_metrics_node_revision_options( + cube_metric_fields, + ) + elif cube_dimension_fields: + # cube_dimensions only needs minimal NodeRevision fields + nested_options = build_cube_dimensions_node_revision_options() + else: + # cube_elements directly requested - load minimal + nested_options = build_cube_dimensions_node_revision_options() + + options.append( + selectinload(DBNodeRevision.cube_elements) + .selectinload(Column.node_revision) + .options(*nested_options), + ) + else: + options.append(noload(DBNodeRevision.cube_elements)) + + # Noload relationships not exposed in GraphQL + options.append(noload(DBNodeRevision.created_by)) + options.append(noload(DBNodeRevision.node)) + options.append(noload(DBNodeRevision.missing_parents)) + return options + + +async def resolve_metrics_and_dimensions( + session: AsyncSession, + cube_def: CubeDefinition, +) -> tuple[list[str], list[str]]: + """ + Resolves the metrics and dimensions for a given cube definition. + If a cube is specified, it retrieves the metrics and dimensions from the cube node. + If no cube is specified, it uses the metrics and dimensions provided in the cube definition. + """ + metrics = cube_def.metrics or [] + dimensions = cube_def.dimensions or [] + + if cube_def.cube: + cube_node = await DBNode.get_cube_by_name(session, cube_def.cube) + if not cube_node: + raise DJNodeNotFound(f"Cube '{cube_def.cube}' not found.") + metrics = dedupe_append(cube_node.current.cube_node_metrics, metrics) + dimensions = dedupe_append(cube_node.current.cube_node_dimensions, dimensions) + + metrics = list(OrderedDict.fromkeys(metrics)) + return metrics, dimensions + + +async def get_metrics( + session: AsyncSession, + metrics: list[str], +): + return await DBNode.get_by_names( + session, + metrics, + options=[ + joinedload(DBNode.current).options( + selectinload(DBNodeRevision.columns), + joinedload(DBNodeRevision.catalog), + selectinload(DBNodeRevision.parents), + ), + ], + include_inactive=False, + ) diff --git a/datajunction-server/datajunction_server/api/graphql/resolvers/tags.py b/datajunction-server/datajunction_server/api/graphql/resolvers/tags.py new file mode 100644 index 000000000..8a93517d2 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/resolvers/tags.py @@ -0,0 +1,35 @@ +""" +Node resolvers +""" + +from typing import Any + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.node import Node as DBNode +from datajunction_server.database.tag import Tag as DBTag + + +async def get_nodes_by_tag( + session: AsyncSession, + tag_name: str, + fields: dict[str, Any], +) -> list[DBNode]: + """ + Retrieves all nodes with the given tag. A list of fields must be requested on the node, + or this will not return any data. + """ + from datajunction_server.api.graphql.resolvers.nodes import load_node_options + + options = load_node_options( + fields["nodes"] + if "nodes" in fields + else fields["edges"]["node"] + if "edges" in fields + else fields, + ) + return await DBTag.list_nodes_with_tag( + session, + tag_name=tag_name, + options=options, + ) diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/__init__.py b/datajunction-server/datajunction_server/api/graphql/scalars/__init__.py new file mode 100644 index 000000000..c3783aa4f --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/__init__.py @@ -0,0 +1,144 @@ +""" +GraphQL scalars +""" + +import dataclasses +import datetime +import json +from base64 import b64decode, b64encode +from dataclasses import dataclass +from typing import Callable, Generic, List, Optional, TypeVar, Union + +import strawberry +from strawberry import field + +BigInt = strawberry.scalar( + Union[int, str], # type: ignore + serialize=int, + parse_value=str, + description="BigInt field", +) + +GenericItem = TypeVar("GenericItem") +GenericItemNode = TypeVar("GenericItemNode") + + +class DateTimeJSONEncoder(json.JSONEncoder): + """ + JSON encoder that handles datetime objects + """ + + def default(self, obj): + """ + Check if there are datetime objects and serialize them as ISO + format strings. + """ + if isinstance(obj, (datetime.datetime, datetime.date, datetime.time)): + return obj.isoformat() + return super().default(obj) # pragma: no cover + + +class DateTimeJSONDecoder(json.JSONDecoder): + """ + JSON decoder that handles ISO format datetime strings + """ + + def __init__(self, *args, **kwargs): + json.JSONDecoder.__init__(self, object_hook=self.object_hook, *args, **kwargs) + + def object_hook(self, source): + """ + Check if the string is in ISO 8601 format and convert to a datetime + object if it is. + """ + for k, v in source.items(): + if isinstance(v, str): + try: + source[k] = datetime.datetime.fromisoformat(str(v)) + except ValueError: # pragma: no cover + pass # pragma: no cover + return source + + +@dataclass +class Cursor: + """ + Dataclass that serializes into a string and back. + """ + + def encode(self) -> str: + """Serialize this cursor into a string.""" + json_str = json.dumps(dataclasses.asdict(self), cls=DateTimeJSONEncoder) + return b64encode(json_str.encode()).decode() + + @classmethod + def decode(cls, serialized: str) -> "Cursor": + """Parse the string into an instance of this Cursor class.""" + json_str = b64decode(serialized.encode()).decode() + json_obj = json.loads(json_str, cls=DateTimeJSONDecoder) + return cls(**json_obj) + + +@strawberry.type +class PageInfo: + """Metadata about a page in a connection.""" + + has_next_page: bool = field( + description="When paginating forwards, are there more nodes?", + ) + has_prev_page: bool = field( + description="When paginating forwards, are there more nodes?", + ) + start_cursor: str | None = field( + description="When paginating back, the cursor to continue.", + ) + end_cursor: str | None = field( + description="When paginating forwards, the cursor to continue.", + ) + + +@strawberry.type +class Edge(Generic[GenericItemNode]): + """Metadata about an item in a connection.""" + + node: GenericItemNode + + +@strawberry.type +class Connection(Generic[GenericItemNode]): + """ + Pagination for a list of items. + """ + + page_info: PageInfo + edges: list[Edge[GenericItemNode]] + + @classmethod + def from_list( + cls, + items: List[GenericItem], + before: Optional[str], + after: Optional[str], + limit: int, + encode_cursor: Callable[[GenericItem], Cursor], + ) -> "Connection": + """ + Construct a Connection from a list of items. + """ + has_next_page = len(items) > limit or ( + before is not None and len(items) > 0 and items[0] is not None + ) + has_prev_page = (before is not None and len(items) > limit) or ( + after is not None and len(items) > 0 and items[0] is not None + ) + start_cursor = encode_cursor(items[0]).encode() if items else None + end_cursor = encode_cursor(items[-1]).encode() if items else None + return Connection( # type: ignore + page_info=PageInfo( # type: ignore + has_prev_page=has_prev_page, + start_cursor=start_cursor, + has_next_page=has_next_page, + end_cursor=end_cursor, + ), + edges=[Edge(node=item) for item in items[:limit]], # type: ignore + ) diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/availabilitystate.py b/datajunction-server/datajunction_server/api/graphql/scalars/availabilitystate.py new file mode 100644 index 000000000..7e4c685d1 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/availabilitystate.py @@ -0,0 +1,52 @@ +"""Availability state scalars""" + +from typing import List, Optional + +import strawberry + +from datajunction_server.api.graphql.scalars import BigInt + + +@strawberry.type +class PartitionAvailability: + """ + Partition-level availability + """ + + min_temporal_partition: Optional[List[str]] + max_temporal_partition: Optional[List[str]] + + # This list maps to the ordered list of categorical partitions at the node level. + # For example, if the node's `categorical_partitions` are configured as ["country", "group_id"], + # a valid entry for `value` may be ["DE", null]. + value: List[Optional[str]] + + # Valid through timestamp (BigInt to handle millisecond timestamps) + valid_through_ts: Optional[BigInt] + + +@strawberry.type +class AvailabilityState: + """ + A materialized table that is available for the node + """ + + catalog: str + schema_: Optional[str] + table: str + valid_through_ts: BigInt # BigInt to handle millisecond timestamps + url: Optional[str] + + # An ordered list of categorical partitions like ["country", "group_id"] + # or ["region_id", "age_group"] + categorical_partitions: Optional[List[str]] + + # An ordered list of temporal partitions like ["date", "hour"] or ["date"] + temporal_partitions: Optional[List[str]] + + # Node-level temporal ranges + min_temporal_partition: Optional[List[str]] + max_temporal_partition: Optional[List[str]] + + # Partition-level availabilities + partitions: Optional[List[PartitionAvailability]] diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/catalog_engine.py b/datajunction-server/datajunction_server/api/graphql/scalars/catalog_engine.py new file mode 100644 index 000000000..70054b1d8 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/catalog_engine.py @@ -0,0 +1,31 @@ +"""Catalog/engine related scalars""" + +import strawberry + +from datajunction_server.models.catalog import CatalogInfo +from datajunction_server.models.engine import EngineInfo +from datajunction_server.models.dialect import Dialect as Dialect_ +from datajunction_server.models.dialect import DialectInfo as DialectInfo_ + +Dialect = strawberry.enum(Dialect_) + + +@strawberry.experimental.pydantic.type(model=EngineInfo, all_fields=True) +class Engine: + """ + Database engine + """ + + +@strawberry.experimental.pydantic.type(model=CatalogInfo, all_fields=True) +class Catalog: + """ + Class for a Catalog + """ + + +@strawberry.experimental.pydantic.type(model=DialectInfo_, all_fields=True) +class DialectInfo: + """ + Class for DialectInfo + """ diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/column.py b/datajunction-server/datajunction_server/api/graphql/scalars/column.py new file mode 100644 index 000000000..093423c9c --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/column.py @@ -0,0 +1,74 @@ +"""Column scalars""" + +from typing import List, Optional + +import strawberry + +from datajunction_server.models.partition import PartitionType as PartitionType_ + +PartitionType = strawberry.enum(PartitionType_) + + +@strawberry.type +class AttributeTypeName: + """ + Attribute type name. + """ + + namespace: str + name: str + + +@strawberry.type +class Attribute: + """ + Column attribute + """ + + attribute_type: AttributeTypeName + + +@strawberry.type +class NodeName: + """ + Node name + """ + + name: str + + +@strawberry.type +class NodeNameVersion: + """ + Node name and version + """ + + name: str + current_version: str + type: str + + +@strawberry.type +class Partition: + """ + A partition configuration for a column + """ + + type_: PartitionType # type: ignore + format: Optional[str] + granularity: Optional[str] + expression: Optional[str] + + +@strawberry.type +class Column: + """ + A column on a node + """ + + name: str + display_name: Optional[str] + type: str + attributes: List[Attribute] = strawberry.field(default_factory=list) + dimension: Optional[NodeName] + partition: Optional[Partition] diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/errors.py b/datajunction-server/datajunction_server/api/graphql/scalars/errors.py new file mode 100644 index 000000000..c467f9f06 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/errors.py @@ -0,0 +1,18 @@ +"""Error-related scalar types.""" + +import strawberry + +from datajunction_server.errors import ErrorCode as ErrorCode_ + +ErrorCode = strawberry.enum(ErrorCode_) + + +@strawberry.type +class DJError: + """ + A DJ error + """ + + code: ErrorCode # type: ignore + message: str | None + context: str | None diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/materialization.py b/datajunction-server/datajunction_server/api/graphql/scalars/materialization.py new file mode 100644 index 000000000..ee226dc6f --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/materialization.py @@ -0,0 +1,46 @@ +"""Materialization scalars""" + +from typing import List, Optional + +import strawberry +from strawberry.scalars import JSON + + +@strawberry.type +class PartitionBackfill: + """ + Used for setting backfilled values + """ + + column_name: str + + # Backfilled values and range. Most temporal partitions will just use `range`, but some may + # optionally use `values` to specify specific values + # Ex: values: [20230901] + # range: [20230901, 20231001] + values: Optional[List[str]] + range: Optional[List[str]] + + +@strawberry.type +class Backfill: + """ + Materialization job backfill + """ + + spec: Optional[List[PartitionBackfill]] + urls: Optional[List[str]] + + +@strawberry.type +class MaterializationConfig: + """ + Materialization config + """ + + name: Optional[str] + config: JSON + schedule: str + job: Optional[str] + backfills: List[Backfill] + strategy: Optional[str] diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/metricmetadata.py b/datajunction-server/datajunction_server/api/graphql/scalars/metricmetadata.py new file mode 100644 index 000000000..77ecc247d --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/metricmetadata.py @@ -0,0 +1,74 @@ +"""Metric metadata scalars""" + +from typing import Optional + +import strawberry + +from datajunction_server.models.cube_materialization import ( + Aggregability as Aggregability_, +) +from datajunction_server.models.cube_materialization import ( + AggregationRule as AggregationRule_, +) +from datajunction_server.models.cube_materialization import ( + MetricComponent as MetricComponent_, +) +from datajunction_server.models.cube_materialization import ( + DecomposedMetric as DecomposedMetric_, +) +from datajunction_server.models.node import MetricDirection as MetricDirection_ + +MetricDirection = strawberry.enum(MetricDirection_) +Aggregability = strawberry.enum(Aggregability_) + + +@strawberry.type +class Unit: + """ + Metric unit + """ + + name: str + label: Optional[str] + category: Optional[str] + abbreviation: Optional[str] + + +@strawberry.experimental.pydantic.type(model=AggregationRule_, all_fields=True) +class AggregationRule: ... + + +@strawberry.experimental.pydantic.type(model=MetricComponent_, all_fields=True) +class MetricComponent: ... + + +@strawberry.experimental.pydantic.type(model=DecomposedMetric_, all_fields=True) +class DecomposedMetric: + """ + Decomposed metric, which includes its components and combining expression. + + - components: The individual measures that make up this metric + - combiner: Expression combining merged components into the final value + - derived_query: The full derived query AST as a string + - derived_expression: Alias for combiner (backward compatibility) + """ + + @strawberry.field + def derived_expression(self) -> str: + """Alias for combiner, for backward compatibility with existing GraphQL queries.""" + return self.combiner # type: ignore + + +@strawberry.type +class MetricMetadata: + """ + Metric metadata output + """ + + direction: MetricDirection | None # type: ignore + unit: Unit | None + significant_digits: int | None + min_decimal_exponent: int | None + max_decimal_exponent: int | None + expression: str + incompatible_druid_functions: list[str] diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/node.py b/datajunction-server/datajunction_server/api/graphql/scalars/node.py new file mode 100644 index 000000000..f30030187 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/node.py @@ -0,0 +1,369 @@ +"""Node-related scalars.""" + +import datetime +from enum import Enum +from typing import List, Optional + +import strawberry +from strawberry.scalars import JSON +from strawberry.types import Info +from sqlalchemy.orm.attributes import InstrumentedAttribute + +from datajunction_server.api.graphql.scalars import BigInt +from datajunction_server.api.graphql.scalars.availabilitystate import AvailabilityState +from datajunction_server.api.graphql.scalars.catalog_engine import Catalog +from datajunction_server.api.graphql.scalars.column import ( + Column, + NodeName, + NodeNameVersion, + Partition, +) +from datajunction_server.api.graphql.scalars.materialization import ( + MaterializationConfig, +) +from datajunction_server.api.graphql.scalars.metricmetadata import ( + DecomposedMetric, + MetricMetadata, +) +from datajunction_server.api.graphql.scalars.user import User +from datajunction_server.api.graphql.utils import extract_fields +from datajunction_server.database.dimensionlink import ( + JoinCardinality as JoinCardinality_, +) +from datajunction_server.database.dimensionlink import JoinType as JoinType_ +from datajunction_server.database.node import Node as DBNode +from datajunction_server.database.node import NodeRevision as DBNodeRevision +from datajunction_server.models.engine import Dialect +from datajunction_server.models.node import NodeMode as NodeMode_ +from datajunction_server.models.node import NodeStatus as NodeStatus_ +from datajunction_server.models.node import NodeType as NodeType_ +from datajunction_server.sql.decompose import MetricComponentExtractor +from datajunction_server.sql.parsing.backends.antlr4 import ast, parse + +NodeType = strawberry.enum(NodeType_) +NodeStatus = strawberry.enum(NodeStatus_) +NodeMode = strawberry.enum(NodeMode_) +JoinType = strawberry.enum(JoinType_) +JoinCardinality = strawberry.enum(JoinCardinality_) + + +@strawberry.enum +class NodeSortField(Enum): + """ + Available node sort fields + """ + + NAME = ("name", DBNode.name) + DISPLAY_NAME = ("display_name", DBNodeRevision.display_name) + TYPE = ("type", DBNode.type) + STATUS = ("status", DBNodeRevision.status) + MODE = ("mode", DBNodeRevision.mode) + CREATED_AT = ("created_at", DBNode.created_at) + UPDATED_AT = ("updated_at", DBNodeRevision.updated_at) + + # The database column that this sort field maps to + column: InstrumentedAttribute + + def __new__(cls, value, column): + obj = object.__new__(cls) + obj._value_ = value # GraphQL will serialize this + obj.column = column + return obj + + +@strawberry.type +class CubeElement: + """ + An element in a cube, either a metric or dimension + """ + + name: str + display_name: str + type: str + partition: Optional[Partition] + + +@strawberry.type +class DimensionLink: + """ + A dimension link between a dimension and a node + """ + + dimension: NodeName + join_type: JoinType # type: ignore + join_sql: str + join_cardinality: Optional[JoinCardinality] # type: ignore + role: Optional[str] + foreign_keys: JSON + + +@strawberry.type +class DimensionAttribute: + """ + A dimensional column attribute + """ + + name: str + attribute: str | None + role: str | None = None + properties: list[str] + type: str + + _dimension_node: Optional["Node"] = None + + @strawberry.field(description="The dimension node this attribute belongs to") + async def dimension_node(self, info: Info) -> "Node": + """ + Lazy load the dimension node when queried. + """ + if self._dimension_node: + return self._dimension_node + + from datajunction_server.api.graphql.resolvers.nodes import get_node_by_name + + dimension_node_name = self.name.rsplit(".", 1)[0] + fields = extract_fields(info) + return await get_node_by_name( # type: ignore + session=info.context["session"], + fields=fields, + name=dimension_node_name, + ) + + +@strawberry.type +class NodeRevision: + """ + The base fields of a node revision, which does not include joined in entities. + """ + + id: BigInt + type: NodeType # type: ignore + name: str + display_name: Optional[str] + version: str + status: NodeStatus # type: ignore + mode: Optional[NodeMode] # type: ignore + description: str = "" + updated_at: datetime.datetime + custom_metadata: Optional[JSON] = None + + @strawberry.field + def catalog(self, root: "DBNodeRevision") -> Optional[Catalog]: + """ + Catalog for the node + """ + return Catalog.from_pydantic(root.catalog) # type: ignore + + query: Optional[str] = None + + @strawberry.field + def columns( + self, + root: "DBNodeRevision", + attributes: list[str] | None = None, + ) -> list[Column]: + """ + The columns of the node + """ + return [ + Column( # type: ignore + name=col.name, + display_name=col.display_name, + type=col.type, + attributes=col.attributes, + dimension=( + NodeName(name=col.dimension.name) # type: ignore + if col.dimension + else None + ), + partition=Partition( + type_=col.partition.type_, # type: ignore + format=col.partition.format, + granularity=col.partition.granularity, + expression=col.partition.temporal_expression(), + ) + if col.partition + else None, + ) + for col in root.columns + if ( + any(col.has_attribute(attr) for attr in attributes) + if attributes + else True + ) + ] + + # Dimensions and data graph-related outputs + @strawberry.field + def dimension_links(self) -> list[DimensionLink]: + """ + Returns the dimension links for this node revision. + """ + return [ + link + for link in self.dimension_links + if link.dimension is not None # handles hard-deleted dimension nodes + and link.dimension.deactivated_at + is None # handles deactivated dimension nodes + ] + + parents: List[NodeNameVersion] + + # Materialization-related outputs + availability: Optional[AvailabilityState] = None + materializations: Optional[List[MaterializationConfig]] = None + + # Only source nodes will have these fields + schema_: Optional[str] + table: Optional[str] + + # Only metrics will have these fields + required_dimensions: List[Column] | None = None + + @strawberry.field + def primary_key(self, root: "DBNodeRevision") -> list[str]: + """ + The primary key of the node + """ + return [col.name for col in root.primary_key()] + + @strawberry.field + def metric_metadata(self, root: "DBNodeRevision") -> MetricMetadata | None: + """ + Metric metadata + """ + if root.type != NodeType.METRIC: + return None + + query_ast = parse(root.query) + functions = [func.function() for func in query_ast.find_all(ast.Function)] + return MetricMetadata( # type: ignore + direction=root.metric_metadata.direction if root.metric_metadata else None, + unit=root.metric_metadata.unit if root.metric_metadata else None, + significant_digits=root.metric_metadata.significant_digits + if root.metric_metadata + else None, + min_decimal_exponent=root.metric_metadata.min_decimal_exponent + if root.metric_metadata + else None, + max_decimal_exponent=root.metric_metadata.max_decimal_exponent + if root.metric_metadata + else None, + expression=str(query_ast.select.projection[0]), + incompatible_druid_functions={ + func.__name__.upper() + for func in functions + if Dialect.DRUID not in func.dialects + }, + ) + + @strawberry.field + async def extracted_measures( + self, + root: "DBNodeRevision", + info: Info, + ) -> DecomposedMetric | None: + """ + A list of metric components for a metric node + """ + if root.type != NodeType.METRIC: + return None + session = info.context["session"] # type: ignore + extractor = MetricComponentExtractor(root.id) + components, derived_ast = await extractor.extract(session) + # The derived_expression is the combiner (how to combine merged components) + combiner_expr = str(derived_ast.select.projection[0]) + return DecomposedMetric( # type: ignore + components=components, + combiner=combiner_expr, + derived_query=str(derived_ast), + ) + + # Only cubes will have these fields + @strawberry.field + def cube_metrics(self, root: "DBNodeRevision") -> List["NodeRevision"]: + """ + Metrics for a cube node + """ + if root.type != NodeType.CUBE: + return [] + ordering = root.ordering() + return sorted( + [ + node_revision + for _, node_revision in root.cube_elements_with_nodes() + if node_revision and node_revision.type == NodeType.METRIC + ], + key=lambda x: ordering[x.name], + ) + + @strawberry.field + def cube_dimensions(self, root: "DBNodeRevision") -> List[DimensionAttribute]: + """ + Dimensions for a cube node + """ + if root.type != NodeType.CUBE: + return [] + dimension_to_roles = {col.name: col.dimension_column for col in root.columns} + ordering = root.ordering() + return sorted( + [ + DimensionAttribute( # type: ignore + name=( + node_revision.name + + "." + + element.name + + dimension_to_roles.get(element.name, "") + ), + attribute=element.name, + role=dimension_to_roles.get(element.name, ""), + _dimension_node=node_revision, + type=element.type, + properties=element.attribute_names(), + ) + for element, node_revision in root.cube_elements_with_nodes() + if node_revision and node_revision.type != NodeType.METRIC + ], + key=lambda x: ordering[x.name], + ) + + +@strawberry.type +class TagBase: + """ + A DJ node tag without any referential fields + """ + + name: str + tag_type: str + description: str | None + display_name: str | None + tag_metadata: JSON | None = strawberry.field(default_factory=dict) + + +@strawberry.type +class Node: + """ + A DJ node + """ + + id: BigInt + name: str + type: NodeType # type: ignore + current_version: str + created_at: datetime.datetime + deactivated_at: Optional[datetime.datetime] + + current: NodeRevision + revisions: list[NodeRevision] + + tags: list[TagBase] + created_by: User + owners: list[User] + + @strawberry.field + def edited_by(self, root: "DBNode") -> list[str]: + """ + The users who edited this node + """ + return root.edited_by diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/sql.py b/datajunction-server/datajunction_server/api/graphql/scalars/sql.py new file mode 100644 index 000000000..22c0ae8ef --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/sql.py @@ -0,0 +1,188 @@ +"""SQL-related scalars.""" + +from functools import cached_property +from typing import Annotated + +import strawberry +from strawberry.types import Info + +from datajunction_server.api.graphql.scalars.metricmetadata import MetricComponent +from datajunction_server.api.graphql.scalars.errors import DJError +from datajunction_server.api.graphql.scalars.node import Node +from datajunction_server.api.graphql.utils import extract_fields +from datajunction_server.database.queryrequest import QueryBuildType as QueryBuildType_ +from datajunction_server.models.column import SemanticType as SemanticType_ +from datajunction_server.models.engine import Dialect as Dialect_ +from datajunction_server.models.sql import GeneratedSQL as GeneratedSQL_ +from datajunction_server.utils import SEPARATOR + +SemanticType = strawberry.enum(SemanticType_) +Dialect = strawberry.enum(Dialect_) +QueryBuildType = strawberry.enum(QueryBuildType_) + + +@strawberry.type +class SemanticEntity: + """ + Column metadata for generated SQL + """ + + name: str + + @cached_property + def _split_name(self) -> list[str]: + """ + Private, cached property that splits the name into node and column parts. + """ + return self.name.rsplit(SEPARATOR, 1) + + @strawberry.field(description="The node this semantic entity is sourced from") + async def node(self) -> str: + """ + Returns the node name that this semantic entity is sourced from + """ + return self._split_name[0] + + @strawberry.field( + description="The column on the node this semantic entity is sourced from", + ) + async def column(self) -> str: + """ + Returns the column on the node this semantic entity is sourced from + """ + return self._split_name[1] + + +@strawberry.type +class ColumnMetadata: + """ + Column metadata for generated SQL + """ + + name: str + type: str + semantic_entity: SemanticEntity | None + semantic_type: SemanticType | None # type: ignore + + +@strawberry.type +class GeneratedSQL: + """ + Generated SQL for a given node + """ + + node: Node + sql: str + columns: list[ColumnMetadata] + dialect: Dialect # type: ignore + upstream_tables: list[str] + errors: list[DJError] + + @classmethod + async def from_pydantic(cls, info: Info, obj: GeneratedSQL_): + """ + Loads a strawberry GeneratedSQL from the original pydantic model. + """ + from datajunction_server.api.graphql.resolvers.nodes import get_node_by_name + + fields = extract_fields(info) + return GeneratedSQL( # type: ignore + node=await get_node_by_name( + session=info.context["session"], + fields=fields.get("node"), + name=obj.node.name, + ), + sql=obj.sql, + columns=[ + ColumnMetadata( # type: ignore + name=col.name, + type=col.type, + semantic_entity=SemanticEntity(name=col.semantic_entity), # type: ignore + semantic_type=SemanticType(col.semantic_type), + ) + for col in obj.columns # type: ignore + ], + dialect=obj.dialect, + upstream_tables=obj.upstream_tables, + errors=obj.errors, + ) + + +@strawberry.input +class CubeDefinition: + """ + The cube definition for the query + """ + + cube: Annotated[ + str | None, + strawberry.argument( + description="The name of the cube to query", + ), + ] = None # type: ignore + metrics: Annotated[ + list[str] | None, + strawberry.argument( + description="A list of metric node names", + ), + ] = None # type: ignore + dimensions: Annotated[ + list[str] | None, + strawberry.argument( + description="A list of dimension attribute names", + ), + ] = None + filters: Annotated[ + list[str] | None, + strawberry.argument( + description="A list of filter SQL clauses", + ), + ] = None + orderby: Annotated[ + list[str] | None, + strawberry.argument( + description="A list of order by clauses", + ), + ] = None + + +@strawberry.input +class EngineSettings: + """ + The engine settings for the query + """ + + name: str = strawberry.field( + description="The name of the engine used by the generated SQL", + ) + version: str | None = strawberry.field( + description="The version of the engine used by the generated SQL", + ) + + +@strawberry.type +class VersionedRef: + """ + Versioned reference + """ + + name: str + version: str + + +@strawberry.type +class MaterializationUnit: + """ """ + + upstream: VersionedRef + grain_dimensions: list[VersionedRef] + measures: list[MetricComponent] + filter_refs: list[VersionedRef] + filters: list[str] + + +@strawberry.type +class MaterializationPlan: + """ """ + + units: list[MaterializationUnit] diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/tag.py b/datajunction-server/datajunction_server/api/graphql/scalars/tag.py new file mode 100644 index 000000000..728c09ed5 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/tag.py @@ -0,0 +1,27 @@ +"""Tag-related scalars.""" + +import strawberry +from strawberry.types import Info + +from datajunction_server.api.graphql.resolvers.tags import get_nodes_by_tag +from datajunction_server.api.graphql.scalars.node import Node, TagBase +from datajunction_server.api.graphql.utils import extract_fields + + +@strawberry.type +class Tag(TagBase): + """ + A DJ node tag with nodes + """ + + @strawberry.field(description="The nodes with this tag") + async def nodes(self, info: Info) -> list[Node]: + """ + Lazy load the nodes with this tag. + """ + fields = extract_fields(info) + return await get_nodes_by_tag( # type: ignore + session=info.context["session"], + fields=fields, + tag_name=self.name, + ) diff --git a/datajunction-server/datajunction_server/api/graphql/scalars/user.py b/datajunction-server/datajunction_server/api/graphql/scalars/user.py new file mode 100644 index 000000000..09585b42c --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/scalars/user.py @@ -0,0 +1,35 @@ +""" +User related scalars +""" + +from enum import Enum +from typing import Optional + +import strawberry + +from datajunction_server.api.graphql.scalars import BigInt + + +@strawberry.enum +class OAuthProvider(Enum): + """ + An oauth implementation provider + """ + + BASIC = "basic" + GITHUB = "github" + GOOGLE = "google" + + +@strawberry.type +class User: + """ + A DataJunction User + """ + + id: BigInt + username: str + email: Optional[str] + name: Optional[str] + oauth_provider: OAuthProvider + is_admin: bool diff --git a/datajunction-server/datajunction_server/api/graphql/schema.graphql b/datajunction-server/datajunction_server/api/graphql/schema.graphql new file mode 100644 index 000000000..f8645fac5 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/schema.graphql @@ -0,0 +1,620 @@ +enum Aggregability { + FULL + LIMITED + NONE +} + +type AggregationRule { + type: Aggregability! + level: [String!] +} + +type Attribute { + attributeType: AttributeTypeName! +} + +type AttributeTypeName { + namespace: String! + name: String! +} + +type AvailabilityState { + catalog: String! + schema_: String + table: String! + validThroughTs: Union! + url: String + categoricalPartitions: [String!] + temporalPartitions: [String!] + minTemporalPartition: [String!] + maxTemporalPartition: [String!] + partitions: [PartitionAvailability!] +} + +type Backfill { + spec: [PartitionBackfill!] + urls: [String!] +} + +type Catalog { + name: String! + engines: [Engine!] +} + +type Column { + name: String! + displayName: String + type: String! + attributes: [Attribute!]! + dimension: NodeName + partition: Partition +} + +type ColumnMetadata { + name: String! + type: String! + semanticEntity: SemanticEntity + semanticType: SemanticType +} + +input CubeDefinition { + cube: String = null + metrics: [String!] = null + dimensions: [String!] = null + filters: [String!] = null + orderby: [String!] = null +} + +type DJError { + code: ErrorCode! + message: String + context: String +} + +"""Date with time (isoformat)""" +scalar DateTime + +type DecomposedMetric { + derivedExpression: String! + components: [MetricComponent!]! + combiner: String! + derivedQuery: String +} + +enum Dialect { + SPARK + TRINO + DRUID + POSTGRES + CLICKHOUSE + DUCKDB + REDSHIFT + SNOWFLAKE + SQLITE +} + +type DialectInfo { + name: String! + pluginClass: String! +} + +type DimensionAttribute { + name: String! + attribute: String + role: String + properties: [String!]! + type: String! + DimensionNode: Node + + """The dimension node this attribute belongs to""" + dimensionNode: Node! +} + +type DimensionLink { + dimension: NodeName! + joinType: JoinType! + joinSql: String! + joinCardinality: JoinCardinality + role: String + foreignKeys: JSON! +} + +type Engine { + name: String! + version: String! + uri: String + dialect: Dialect +} + +input EngineSettings { + """The name of the engine used by the generated SQL""" + name: String! + + """The version of the engine used by the generated SQL""" + version: String +} + +enum ErrorCode { + UNKNOWN_ERROR + NOT_IMPLEMENTED_ERROR + ALREADY_EXISTS + INVALID_FILTER_PATTERN + INVALID_COLUMN_IN_FILTER + INVALID_VALUE_IN_FILTER + INVALID_ARGUMENTS_TO_FUNCTION + INVALID_SQL_QUERY + MISSING_COLUMNS + UNKNOWN_NODE + NODE_TYPE_ERROR + INVALID_DIMENSION_JOIN + INVALID_COLUMN + QUERY_SERVICE_ERROR + INVALID_ORDER_BY + COMPOUND_BUILD_EXCEPTION + MISSING_PARENT + TYPE_INFERENCE + MISSING_PARAMETER + AUTHENTICATION_ERROR + OAUTH_ERROR + INVALID_LOGIN_CREDENTIALS + USER_NOT_FOUND + UNAUTHORIZED_ACCESS + INCOMPLETE_AUTHORIZATION + INVALID_PARENT + INVALID_DIMENSION + INVALID_METRIC + INVALID_DIMENSION_LINK + INVALID_CUBE + TAG_NOT_FOUND + CATALOG_NOT_FOUND + INVALID_NAMESPACE +} + +type GeneratedSQL { + node: Node! + sql: String! + columns: [ColumnMetadata!]! + dialect: Dialect! + upstreamTables: [String!]! + errors: [DJError!]! +} + +""" +The `JSON` scalar type represents JSON values as specified by [ECMA-404](https://ecma-international.org/wp-content/uploads/ECMA-404_2nd_edition_december_2017.pdf). +""" +scalar JSON @specifiedBy(url: "https://ecma-international.org/wp-content/uploads/ECMA-404_2nd_edition_december_2017.pdf") + +enum JoinCardinality { + ONE_TO_ONE + ONE_TO_MANY + MANY_TO_ONE + MANY_TO_MANY +} + +enum JoinType { + LEFT + RIGHT + INNER + FULL + CROSS +} + +type MaterializationConfig { + name: String + config: JSON! + schedule: String! + job: String + backfills: [Backfill!]! + strategy: String +} + +type MaterializationPlan { + units: [MaterializationUnit!]! +} + +type MaterializationUnit { + upstream: VersionedRef! + grainDimensions: [VersionedRef!]! + measures: [MetricComponent!]! + filterRefs: [VersionedRef!]! + filters: [String!]! +} + +type MetricComponent { + name: String! + expression: String! + aggregation: String + merge: String + rule: AggregationRule! +} + +enum MetricDirection { + HIGHER_IS_BETTER + LOWER_IS_BETTER + NEUTRAL +} + +type MetricMetadata { + direction: MetricDirection + unit: Unit + significantDigits: Int + minDecimalExponent: Int + maxDecimalExponent: Int + expression: String! + incompatibleDruidFunctions: [String!]! +} + +type Node { + id: Union! + name: String! + type: NodeType! + currentVersion: String! + createdAt: DateTime! + deactivatedAt: DateTime + current: NodeRevision! + revisions: [NodeRevision!]! + tags: [TagBase!]! + createdBy: User! + owners: [User!]! + editedBy: [String!]! +} + +type NodeConnection { + pageInfo: PageInfo! + edges: [NodeEdge!]! +} + +type NodeEdge { + node: Node! +} + +enum NodeMode { + PUBLISHED + DRAFT +} + +type NodeName { + name: String! +} + +type NodeNameVersion { + name: String! + currentVersion: String! + type: String! +} + +type NodeRevision { + id: Union! + type: NodeType! + name: String! + displayName: String + version: String! + status: NodeStatus! + mode: NodeMode + description: String! + updatedAt: DateTime! + customMetadata: JSON + query: String + parents: [NodeNameVersion!]! + availability: AvailabilityState + materializations: [MaterializationConfig!] + schema_: String + table: String + requiredDimensions: [Column!] + catalog: Catalog + columns(attributes: [String!] = null): [Column!]! + dimensionLinks: [DimensionLink!]! + primaryKey: [String!]! + metricMetadata: MetricMetadata + extractedMeasures: DecomposedMetric + cubeMetrics: [NodeRevision!]! + cubeDimensions: [DimensionAttribute!]! +} + +enum NodeSortField { + NAME + DISPLAY_NAME + TYPE + STATUS + MODE + CREATED_AT + UPDATED_AT +} + +enum NodeStatus { + VALID + INVALID +} + +enum NodeType { + SOURCE + TRANSFORM + METRIC + DIMENSION + CUBE +} + +enum OAuthProvider { + BASIC + GITHUB + GOOGLE +} + +type PageInfo { + """When paginating forwards, are there more nodes?""" + hasNextPage: Boolean! + + """When paginating forwards, are there more nodes?""" + hasPrevPage: Boolean! + + """When paginating back, the cursor to continue.""" + startCursor: String + + """When paginating forwards, the cursor to continue.""" + endCursor: String +} + +type Partition { + type_: PartitionType! + format: String + granularity: String + expression: String +} + +type PartitionAvailability { + minTemporalPartition: [String!] + maxTemporalPartition: [String!] + value: [String]! + validThroughTs: Union +} + +type PartitionBackfill { + columnName: String! + values: [String!] + range: [String!] +} + +enum PartitionType { + TEMPORAL + CATEGORICAL +} + +type Query { + """List available catalogs""" + listCatalogs: [Catalog!]! + + """List all available engines""" + listEngines: [Engine!]! + + """List all supported SQL dialects""" + listDialects: [DialectInfo!]! + + """Find nodes based on the search parameters.""" + findNodes( + """A fragment of a node name to search for""" + fragment: String = null + + """Filter to nodes with these names""" + names: [String!] = null + + """Filter nodes to these node types""" + nodeTypes: [NodeType!] = null + + """Filter to nodes tagged with these tags""" + tags: [String!] = null + + """ + Filter to nodes that have ALL of these dimensions. Accepts dimension node names or dimension attributes + """ + dimensions: [String!] = null + + """Filter to nodes edited by this user""" + editedBy: String = null + + """Filter to nodes in this namespace""" + namespace: String = null + + """Filter to nodes with this mode (published or draft)""" + mode: NodeMode = null + + """Filter to nodes owned by this user""" + ownedBy: String = null + + """Filter to nodes missing descriptions (for data quality checks)""" + missingDescription: Boolean! = false + + """Filter to nodes without any owners (for data quality checks)""" + missingOwner: Boolean! = false + + """Filter to nodes with these statuses (e.g., VALID, INVALID)""" + statuses: [NodeStatus!] = null + + """Filter to nodes that have materializations configured""" + hasMaterialization: Boolean! = false + + """Filter to dimension nodes that are not linked to by any other node""" + orphanedDimension: Boolean! = false + + """Limit nodes""" + limit: Int = 1000 + orderBy: NodeSortField! = CREATED_AT + ascending: Boolean! = false + ): [Node!]! + + """Find nodes based on the search parameters with pagination""" + findNodesPaginated( + """A fragment of a node name to search for""" + fragment: String = null + + """Filter to nodes with these names""" + names: [String!] = null + + """Filter nodes to these node types""" + nodeTypes: [NodeType!] = null + + """Filter to nodes tagged with these tags""" + tags: [String!] = null + + """ + Filter to nodes that have ALL of these dimensions. Accepts dimension node names or dimension attributes + """ + dimensions: [String!] = null + + """Filter to nodes edited by this user""" + editedBy: String = null + + """Filter to nodes in this namespace""" + namespace: String = null + + """Filter to nodes with this mode (published or draft)""" + mode: NodeMode = null + + """Filter to nodes owned by this user""" + ownedBy: String = null + + """Filter to nodes missing descriptions (for data quality checks)""" + missingDescription: Boolean! = false + + """Filter to nodes without any owners (for data quality checks)""" + missingOwner: Boolean! = false + + """Filter to nodes with these statuses (e.g., VALID, INVALID)""" + statuses: [NodeStatus!] = null + + """Filter to nodes that have materializations configured""" + hasMaterialization: Boolean! = false + + """Filter to dimension nodes that are not linked to by any other node""" + orphanedDimension: Boolean! = false + after: String = null + before: String = null + + """Limit nodes""" + limit: Int = 100 + orderBy: NodeSortField! = CREATED_AT + ascending: Boolean! = false + ): NodeConnection! + + """Get common dimensions for one or more nodes""" + commonDimensions( + """A list of nodes to find common dimensions for""" + nodes: [String!] = null + ): [DimensionAttribute!]! + + """Find downstream nodes (optionally, of a given type) from a given node.""" + downstreamNodes( + """The node names to find downstream nodes for.""" + nodeNames: [String!]! + + """The node type to filter the downstream nodes on.""" + nodeType: NodeType = null + + """Whether to include deactivated nodes in the result.""" + includeDeactivated: Boolean! = false + ): [Node!]! + + """Find upstream nodes (optionally, of a given type) from a given node.""" + upstreamNodes( + """The node names to find upstream nodes for.""" + nodeNames: [String!]! + + """The node type to filter the upstream nodes on.""" + nodeType: NodeType = null + + """Whether to include deactivated nodes in the result.""" + includeDeactivated: Boolean! = false + ): [Node!]! + + """Get measures SQL for a list of metrics, dimensions, and filters.""" + measuresSql( + cube: CubeDefinition! + engine: EngineSettings = null + + """Whether to use materialized nodes where applicable""" + useMaterialized: Boolean! = true + + """ + Whether to include all columns or only those necessary for the metrics and dimensions in the cube + """ + includeAllColumns: Boolean! = false + + """ + Whether to pre-aggregate to the requested dimensions so that subsequent queries are more efficient. + """ + preaggregate: Boolean! = false + + """Query parameters to include in the SQL""" + queryParameters: JSON = null + ): [GeneratedSQL!]! + + """ + Get materialization plan for a list of metrics, dimensions, and filters. + """ + materializationPlan(cube: CubeDefinition!): MaterializationPlan! + + """Find DJ node tags based on the search parameters.""" + listTags(tagNames: [String!] = null, tagTypes: [String!] = null): [Tag!]! + + """List all DJ node tag types""" + listTagTypes: [String!]! +} + +type SemanticEntity { + name: String! + + """The node this semantic entity is sourced from""" + node: String! + + """The column on the node this semantic entity is sourced from""" + column: String! +} + +enum SemanticType { + MEASURE + METRIC + DIMENSION + TIMESTAMP +} + +type Tag { + name: String! + tagType: String! + description: String + displayName: String + tagMetadata: JSON + + """The nodes with this tag""" + nodes: [Node!]! +} + +type TagBase { + name: String! + tagType: String! + description: String + displayName: String + tagMetadata: JSON +} + +"""BigInt field""" +scalar Union + +type Unit { + name: String! + label: String + category: String + abbreviation: String +} + +type User { + id: Union! + username: String! + email: String + name: String + oauthProvider: OAuthProvider! + isAdmin: Boolean! +} + +type VersionedRef { + name: String! + version: String! +} \ No newline at end of file diff --git a/datajunction-server/datajunction_server/api/graphql/utils.py b/datajunction-server/datajunction_server/api/graphql/utils.py new file mode 100644 index 000000000..898510193 --- /dev/null +++ b/datajunction-server/datajunction_server/api/graphql/utils.py @@ -0,0 +1,56 @@ +"""Utils for handling GraphQL queries.""" + +import re +from typing import Any, Dict, TypeVar + +CURSOR_SEPARATOR = "-" + +T = TypeVar("T") + + +def convert_camel_case(name): + """ + Convert from camel case to snake case + """ + pattern = re.compile(r"(? Dict[str, Any]: + """ + Extract fields from GraphQL query input into a dictionary + """ + fields = {} + + for query_field in query_fields.selected_fields: + for selection in query_field.selections: + field_name = convert_camel_case(selection.name) + if selection.selections: + subfield = extract_subfields(selection) + fields[field_name] = subfield + else: + fields[field_name] = None + + return fields + + +def dedupe_append(base: list[T], extras: list[T]) -> list[T]: + """ + Append items from extras to base, ensuring no duplicates. + """ + base_set = set(base) + return base + [x for x in extras if x not in base_set] diff --git a/datajunction-server/datajunction_server/api/groups.py b/datajunction-server/datajunction_server/api/groups.py new file mode 100644 index 000000000..a412bef33 --- /dev/null +++ b/datajunction-server/datajunction_server/api/groups.py @@ -0,0 +1,217 @@ +""" +Group management APIs. +""" + +from typing import List + +from fastapi import Depends, HTTPException +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.group_member import GroupMember +from datajunction_server.database.user import OAuthProvider, PrincipalKind, User +from datajunction_server.errors import DJAlreadyExistsException, DJDoesNotExistException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.models.group import GroupOutput +from datajunction_server.models.user import UserOutput +from datajunction_server.utils import get_session, get_settings + +settings = get_settings() +router = SecureAPIRouter(tags=["groups"]) + + +@router.post("/groups/", response_model=GroupOutput, status_code=201) +async def register_group( + username: str, + email: str | None = None, + name: str | None = None, + *, + session: AsyncSession = Depends(get_session), +) -> User: + """ + Register a group in DJ. + + This makes the group available for assignment as a node owner. + Group membership can be managed via the membership endpoints (Postgres provider) + or resolved externally (LDAP, etc.). + + Args: + username: Unique identifier for the group (e.g., 'eng-team') + email: Optional email for the group + name: Display name (defaults to username) + """ + existing = await User.get_by_username(session, username) + if existing: + raise DJAlreadyExistsException(message=f"Group {username} already exists") + + # Create group + group = User( + username=username, + email=email, + name=name or username, + kind=PrincipalKind.GROUP, + oauth_provider=OAuthProvider.BASIC, + ) + session.add(group) + await session.commit() + await session.refresh(group) + return group + + +@router.get("/groups/", response_model=List[GroupOutput]) +async def list_groups( + *, + session: AsyncSession = Depends(get_session), +) -> List[User]: + """ + List all registered groups. + """ + statement = ( + select(User).where(User.kind == PrincipalKind.GROUP).order_by(User.username) + ) + result = await session.execute(statement) + return list(result.scalars().all()) + + +@router.get("/groups/{group_name}", response_model=GroupOutput) +async def get_group( + group_name: str, + *, + session: AsyncSession = Depends(get_session), +) -> User: + """ + Get a group by name. + """ + group = await User.get_by_username(session, group_name) + if not group or group.kind != PrincipalKind.GROUP: + raise HTTPException(status_code=404, detail=f"Group {group_name} not found") + + return group + + +@router.post("/groups/{group_name}/members/", status_code=201) +async def add_group_member( + group_name: str, + member_username: str, + *, + session: AsyncSession = Depends(get_session), +) -> dict: + """ + Add a member to a group (Postgres provider only). + + For external providers, membership is managed externally and this endpoint is disabled. + """ + if settings.group_membership_provider != "postgres": + raise HTTPException( + status_code=400, + detail=f"Membership management not supported for provider: {settings.group_membership_provider}", + ) + + # Verify group exists + group = await User.get_by_username(session, group_name) + if not group or group.kind != PrincipalKind.GROUP: + raise DJDoesNotExistException(message=f"Group {group_name} not found") + + # Verify member exists + member = await User.get_by_username(session, member_username) + if not member: + raise DJDoesNotExistException(message=f"User {member_username} not found") + + # Check if already a member + existing = await session.execute( + select(GroupMember).where( + GroupMember.group_id == group.id, + GroupMember.member_id == member.id, + ), + ) + if existing.scalar_one_or_none(): + raise HTTPException( + status_code=409, + detail=f"{member_username} is already a member of {group_name}", + ) + + # Add membership + membership = GroupMember( + group_id=group.id, + member_id=member.id, + ) + session.add(membership) + await session.commit() + + return {"message": f"Added {member_username} to {group_name}"} + + +@router.delete("/groups/{group_name}/members/{member_username}", status_code=204) +async def remove_group_member( + group_name: str, + member_username: str, + *, + session: AsyncSession = Depends(get_session), +) -> None: + """ + Remove a member from a group (Postgres provider only). + """ + if settings.group_membership_provider != "postgres": + raise HTTPException( + status_code=400, + detail=f"Membership management not supported for provider: {settings.group_membership_provider}", + ) + + # Verify group and member exist + group = await User.get_by_username(session, group_name) + if not group or group.kind != PrincipalKind.GROUP: + raise DJDoesNotExistException(message=f"Group {group_name} not found") + + member = await User.get_by_username(session, member_username) + if not member: + raise DJDoesNotExistException(message=f"User {member_username} not found") + + # Remove membership + result = await session.execute( + select(GroupMember).where( + GroupMember.group_id == group.id, + GroupMember.member_id == member.id, + ), + ) + membership = result.scalar_one_or_none() + + if not membership: + raise HTTPException( + status_code=404, + detail=f"{member_username} is not a member of {group_name}", + ) + + await session.delete(membership) + await session.commit() + + +@router.get("/groups/{group_name}/members/", response_model=List[UserOutput]) +async def list_group_members( + group_name: str, + *, + session: AsyncSession = Depends(get_session), +) -> List[User]: + """ + List members of a group. + + For Postgres provider: queries group_members table. + For external providers: returns empty (membership resolved externally). + """ + # Verify group exists + group = await User.get_by_username(session, group_name) + if not group or group.kind != PrincipalKind.GROUP: + raise HTTPException(status_code=404, detail=f"Group {group_name} not found") + + # Only return members for postgres provider + if settings.group_membership_provider != "postgres": + return [] + + # Query members + statement = ( + select(User) + .join(GroupMember, GroupMember.member_id == User.id) + .where(GroupMember.group_id == group.id) + .order_by(User.username) + ) + result = await session.execute(statement) + return list(result.scalars().all()) diff --git a/datajunction-server/datajunction_server/api/health.py b/datajunction-server/datajunction_server/api/health.py new file mode 100644 index 000000000..db4714feb --- /dev/null +++ b/datajunction-server/datajunction_server/api/health.py @@ -0,0 +1,64 @@ +""" +Application healthchecks. +""" + +from typing import List + +from fastapi import APIRouter, Depends +from pydantic.main import BaseModel +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.enum import StrEnum +from datajunction_server.utils import get_session, get_settings + +settings = get_settings() + +router = APIRouter(tags=["health"]) + + +class HealthcheckStatus(StrEnum): + """ + Possible health statuses. + """ + + OK = "ok" + FAILED = "failed" + + +class HealthCheck(BaseModel): + """ + A healthcheck response. + """ + + name: str + status: HealthcheckStatus + + +async def database_health(session: AsyncSession) -> HealthcheckStatus: + """ + The status of the database. + """ + try: + result = (await session.execute(select(1))).one() + health_status = ( + HealthcheckStatus.OK if result == (1,) else HealthcheckStatus.FAILED + ) + return health_status + except Exception: # pragma: no cover + return HealthcheckStatus.FAILED # pragma: no cover + + +@router.get("/health/", response_model=List[HealthCheck]) +async def health_check( + session: AsyncSession = Depends(get_session), +) -> List[HealthCheck]: + """ + Healthcheck for services. + """ + return [ + HealthCheck( + name="database", + status=await database_health(session), + ), + ] diff --git a/datajunction-server/datajunction_server/api/helpers.py b/datajunction-server/datajunction_server/api/helpers.py new file mode 100644 index 000000000..bae89429e --- /dev/null +++ b/datajunction-server/datajunction_server/api/helpers.py @@ -0,0 +1,969 @@ +""" +Helpers for API endpoints +""" + +import asyncio +import http.client +import json +import logging +import re +import time +import uuid +from http import HTTPStatus +from typing import Callable, Dict, List, Optional, Set, Tuple + +from fastapi import Depends +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import defer, joinedload, selectinload +from sqlalchemy.sql.operators import and_, is_ + +from datajunction_server.internal.access.authorization import ( + AccessChecker, + AccessDenialMode, +) +from datajunction_server.api.notifications import get_notifier +from datajunction_server.construction.build import ( + get_default_criteria, + rename_columns, + validate_shared_dimensions, +) +from datajunction_server.construction.build_v2 import FullColumnName +from datajunction_server.construction.dj_query import build_dj_query +from datajunction_server.database.attributetype import AttributeType +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.column import Column +from datajunction_server.database.engine import Engine +from datajunction_server.database.history import History +from datajunction_server.database.namespace import NodeNamespace +from datajunction_server.database.node import ( + MissingParent, + Node, + NodeMissingParents, + NodeRevision, +) +from datajunction_server.database.user import User +from datajunction_server.errors import ( + DJAlreadyExistsException, + DJDoesNotExistException, + DJError, + DJInvalidInputException, + DJNodeNotFound, + ErrorCode, +) +from datajunction_server.internal.engines import get_engine +from datajunction_server.internal.history import EntityType +from datajunction_server.models import access +from datajunction_server.models.attribute import RESERVED_ATTRIBUTE_NAMESPACE +from datajunction_server.models.history import status_change_history +from datajunction_server.models.metric import TranslatedSQL +from datajunction_server.models.node import NodeStatus +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.materialization import ( + MaterializationConfigInfoUnified, + MaterializationStrategy, + MaterializationConfigOutput, +) +from datajunction_server.models.query import ColumnMetadata, QueryWithResults +from datajunction_server.naming import from_amenable_name +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.parsing import ast +from datajunction_server.typing import END_JOB_STATES +from datajunction_server.utils import SEPARATOR + +from datajunction_server.models.engine import Dialect + +_logger = logging.getLogger(__name__) + +COLUMN_NAME_REGEX = r"([A-Za-z0-9_\.]+)(\[[A-Za-z0-9_]+\])?" + + +async def get_node_namespace( + session: AsyncSession, + namespace: str, + raise_if_not_exists: bool = True, +) -> NodeNamespace: + """ + Get a node namespace + """ + statement = select(NodeNamespace).where(NodeNamespace.namespace == namespace) + node_namespace = (await session.execute(statement)).scalar_one_or_none() + if raise_if_not_exists: # pragma: no cover + if not node_namespace: + raise DJDoesNotExistException( + message=(f"node namespace `{namespace}` does not exist."), + http_status_code=404, + ) + return node_namespace + + +async def get_node_by_name( + session: AsyncSession, + name: Optional[str], + node_type: Optional[NodeType] = None, + with_current: bool = False, + raise_if_not_exists: bool = True, + include_inactive: bool = False, +) -> Node: + """ + Get a node by name + """ + from datajunction_server.models.node import NodeOutput + + statement = select(Node).where(Node.name == name) + if not include_inactive: + statement = statement.where(is_(Node.deactivated_at, None)) + if node_type: + statement = statement.where(Node.type == node_type) + if with_current: + # Use full NodeOutput load options to ensure all required fields + # (like dimension_links) are eagerly loaded for serialization + statement = statement.options(*NodeOutput.load_options()) + result = await session.execute(statement) + node = result.unique().scalar_one_or_none() + else: + result = await session.execute(statement) + node = result.unique().scalar_one_or_none() + if raise_if_not_exists: + if not node: + raise DJNodeNotFound( + message=( + f"A {'' if not node_type else node_type + ' '}" + f"node with name `{name}` does not exist." + ), + http_status_code=404, + ) + return node + + +async def raise_if_node_exists(session: AsyncSession, name: str) -> None: + """ + Raise an error if the node with the given name already exists. + """ + node = await Node.get_by_name(session, name, raise_if_not_exists=False) + if node: + raise DJAlreadyExistsException( + message=f"A node with name `{name}` already exists.", + http_status_code=HTTPStatus.CONFLICT, + ) + + +async def get_column( + session: AsyncSession, + node: NodeRevision, + column_name: str, +) -> Column: + """ + Get a column from a node revision + """ + requested_column = None + await session.refresh(node, ["columns"]) + for node_column in node.columns: + if node_column.name == column_name: + requested_column = node_column + break + + if not requested_column: + raise DJDoesNotExistException( + message=f"Column {column_name} does not exist on node {node.name}", + http_status_code=404, + ) + return requested_column + + +async def get_attribute_type( + session: AsyncSession, + name: str, + namespace: Optional[str] = RESERVED_ATTRIBUTE_NAMESPACE, +) -> Optional[AttributeType]: + """ + Gets an attribute type by name. + """ + statement = ( + select(AttributeType) + .where(AttributeType.name == name) + .where(AttributeType.namespace == namespace) + ) + return (await session.execute(statement)).scalar_one_or_none() + + +async def get_catalog_by_name(session: AsyncSession, name: str) -> Catalog: + """ + Get a catalog by name + """ + statement = ( + select(Catalog).where(Catalog.name == name).options(joinedload(Catalog.engines)) + ) + catalog = (await session.execute(statement)).scalar() + if not catalog: + raise DJDoesNotExistException( + message=f"Catalog with name `{name}` does not exist.", + http_status_code=404, + ) + return catalog + + +async def get_query( + session: AsyncSession, + node_name: str, + dimensions: List[str], + filters: List[str], + orderby: List[str], + limit: Optional[int] = None, + engine: Optional[Engine] = None, + *, + access_checker: AccessChecker, + use_materialized: bool = True, + query_parameters: Optional[Dict[str, str]] = None, + ignore_errors: bool = True, +) -> ast.Query: + """ + Get a query for a metric, dimensions, and filters + """ + from datajunction_server.construction.build_v2 import QueryBuilder + + node = await Node.get_by_name(session, node_name, raise_if_not_exists=True) + build_criteria = get_default_criteria(node.current, engine) # type: ignore + query_builder = await QueryBuilder.create( + session, + node.current, # type: ignore + use_materialized=use_materialized, + ) + if ignore_errors: + query_builder.ignore_errors() + query_ast = await ( + query_builder.with_access_control(access_checker) + .with_build_criteria(build_criteria) + .add_dimensions(dimensions) + .add_filters(filters) + .add_query_parameters(query_parameters) + .limit(limit) + .order_by(orderby) + .build() + ) + query_ast = rename_columns(query_ast, node.current) # type: ignore + return query_ast + + +async def find_required_dimensions( + session: AsyncSession, + required_dimensions: list[str], + parent_columns: list[Column], +) -> Tuple[Set[str], List[Column]]: + """ + Find Column objects for required dimension paths. + + Required dimensions can be specified as: + - Full path: "dimensions.date.dateint" -> look up dimension node and find column + - Short name: "status" -> find in parent_columns + + Uses a single DB query to fetch all needed dimension nodes. + + Returns: + Tuple of (invalid dimension paths, matched Column objects) + """ + invalid_required_dimensions: Set[str] = set() + matched_columns: List[Column] = [] + + # Build lookup for parent columns + parent_col_map = {col.name: col for col in parent_columns} + + # Separate full paths from short names + # full_paths: {dim_node_name: [(full_path, col_name), ...]} + full_paths: Dict[str, List[Tuple[str, str]]] = {} + short_names: List[str] = [] + + for required_dim in required_dimensions: + if SEPARATOR in required_dim: + dim_node_name, col_name = required_dim.rsplit(SEPARATOR, 1) + # Strip role suffix if present (e.g., "week[order]" -> "week") + # Role is DJ-specific syntax, not part of actual column name + if "[" in col_name: + col_name = col_name.split("[")[0] + if dim_node_name not in full_paths: # pragma: no cover + full_paths[dim_node_name] = [] + full_paths[dim_node_name].append((required_dim, col_name)) + else: + short_names.append(required_dim) + + # Handle short names from parent columns + for short_name in short_names: + if short_name in parent_col_map: + matched_columns.append(parent_col_map[short_name]) + else: + invalid_required_dimensions.add(short_name) # pragma: no cover + + # Single query to fetch all needed dimension nodes + if full_paths: + result = await session.execute( + select(Node) + .filter(Node.name.in_(full_paths.keys())) + .options( + selectinload(Node.current).options( + selectinload(NodeRevision.columns), + ), + ), + ) + dim_nodes = {node.name: node for node in result.scalars().all()} + + # Match columns for each full path + for dim_node_name, paths in full_paths.items(): + dim_node = dim_nodes.get(dim_node_name) + if not dim_node or not dim_node.current: # pragma: no cover + # Node not found - all paths for this node are invalid + for full_path, _ in paths: + invalid_required_dimensions.add(full_path) + continue + + # Build column lookup for this dimension + dim_col_map = {col.name: col for col in dim_node.current.columns} + + for full_path, col_name in paths: + if col_name in dim_col_map: + matched_columns.append(dim_col_map[col_name]) + else: + invalid_required_dimensions.add(full_path) + + return invalid_required_dimensions, matched_columns + + +async def resolve_downstream_references( + session: AsyncSession, + node_revision: NodeRevision, + current_user: User, + save_history: Callable, +) -> List[NodeRevision]: + """ + Find all node revisions with missing parent references to `node` and resolve them + """ + from datajunction_server.internal.validation import validate_node_data + + missing_parents = ( + ( + await session.execute( + select(MissingParent).where(MissingParent.name == node_revision.name), + ) + ) + .scalars() + .all() + ) + newly_valid_nodes = [] + for missing_parent in missing_parents: + missing_parent_links = ( + ( + await session.execute( + select(NodeMissingParents).where( + NodeMissingParents.missing_parent_id == missing_parent.id, + ), + ) + ) + .scalars() + .all() + ) + for ( + link + ) in missing_parent_links: # Remove from missing parents and add to parents + downstream_node_id = link.referencing_node_id + downstream_node_revision = ( + ( + await session.execute( + select(NodeRevision) + .where(NodeRevision.id == downstream_node_id) + .options( + joinedload(NodeRevision.missing_parents), + joinedload(NodeRevision.parents), + ), + ) + ) + .unique() + .scalar_one() + ) + await session.refresh(node_revision, ["node"]) + await session.refresh( + downstream_node_revision, + ["parents", "missing_parents"], + ) + downstream_node_revision.parents.append(node_revision.node) + downstream_node_revision.missing_parents.remove(missing_parent) + node_validator = await validate_node_data( + data=downstream_node_revision, + session=session, + ) + event = None + if downstream_node_revision.status != node_validator.status: + event = status_change_history( + downstream_node_revision, + downstream_node_revision.status, + node_validator.status, + parent_node=node_revision.name, + current_user=current_user, + ) + + downstream_node_revision.status = node_validator.status + + await session.refresh(downstream_node_revision, ["columns"]) + downstream_node_revision.columns = node_validator.columns + if node_validator.status == NodeStatus.VALID: + newly_valid_nodes.append(downstream_node_revision) + session.add(downstream_node_revision) + if event: + await save_history(event=event, session=session) + await session.commit() + await session.refresh(downstream_node_revision) + + await session.delete(missing_parent) # Remove missing parent reference to node + return newly_valid_nodes + + +def map_dimensions_to_roles(dimensions: List[str]) -> Dict[str, str]: + """ + Returns a mapping between dimension attributes and their roles. + For example, ["default.users.user_id[user]"] would turn into + {"default.users.user_id": "[user]"} + """ + dimension_attrs = [FullColumnName(dim) for dim in dimensions] + return { + attr.node_name + SEPARATOR + attr.column_name: attr.role # type: ignore + for attr in dimension_attrs + } + + +async def validate_cube( + session: AsyncSession, + metric_names: List[str], + dimension_names: List[str], + require_dimensions: bool = False, +) -> Tuple[List[Column], List[Node], List[Node], List[Column], Optional[Catalog]]: + """ + Validate that a set of metrics and dimensions can be built together. + """ + metric_nodes = await check_metrics_exist(session, metric_names) + catalogs = [metric.current.catalog for metric in metric_nodes] + catalog = catalogs[0] if catalogs else None + + # Verify that the provided metrics are metric nodes + metrics: List[Column] = [metric.current.columns[0] for metric in metric_nodes] + for metric in metrics: + await session.refresh(metric, ["node_revision"]) + if not metrics: + raise DJInvalidInputException( + message=("At least one metric is required"), + http_status_code=http.client.UNPROCESSABLE_ENTITY, + ) + non_metrics = [metric for metric in metric_nodes if metric.type != NodeType.METRIC] + if non_metrics: + message = ( + f"Node {non_metrics[0].name} of type {non_metrics[0].type} " # type: ignore + f"cannot be added to a cube." + + " Did you mean to add a dimension attribute?" + if non_metrics[0].type == NodeType.DIMENSION # type: ignore + else "" + ) + raise DJInvalidInputException( + message=message, + errors=[DJError(code=ErrorCode.NODE_TYPE_ERROR, message=message)], + http_status_code=http.client.UNPROCESSABLE_ENTITY, + ) + + dimension_attributes, dimension_nodes = await check_dimension_attributes_exist( + session, + dimension_names, + ) + dimension_mapping: Dict[str, Node] = { + f"{attr.node_name}{SEPARATOR}{attr.column_name}": dimension_nodes[ + attr.node_name + ] + for attr in dimension_attributes + } + dimensions: List[Column] = [] + for attr in dimension_attributes: + dimension_node = dimension_mapping[ + f"{attr.node_name}{SEPARATOR}{attr.column_name}" + ] + columns = {col.name: col for col in dimension_node.current.columns} # type: ignore + + column_name_without_role = attr.column_name + match = re.fullmatch(COLUMN_NAME_REGEX, attr.column_name) + if match: + column_name_without_role = match.groups()[0] + + if column_name_without_role in columns: # pragma: no cover + dimensions.append(columns[column_name_without_role]) + + if require_dimensions and not dimensions: + raise DJInvalidInputException( # pragma: no cover + message="At least one dimension is required", + ) + + if len(set(catalogs)) > 1: + raise DJInvalidInputException( + message=( + f"Metrics and dimensions cannot be from multiple catalogs: {catalogs}" + ), + ) + + if len(set(catalogs)) < 1: # pragma: no cover + raise DJInvalidInputException( + message=("Metrics and dimensions must be part of a common catalog"), + ) + + await validate_shared_dimensions( + session, + metric_nodes, + dimension_names, + ) + return metrics, metric_nodes, list(dimension_nodes.values()), dimensions, catalog + + +async def check_metrics_exist(session: AsyncSession, metrics: list[str]) -> list[Node]: + """ + Check that the list of metrics are valid metric nodes and return them. + """ + metrics_sorting_order = {val: idx for idx, val in enumerate(metrics)} + metric_nodes: List[Node] = sorted( + await Node.get_by_names( + session, + metrics, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.columns), + joinedload(NodeRevision.catalog), + selectinload(NodeRevision.parents), + ), + ], + include_inactive=False, + ), + key=lambda x: metrics_sorting_order.get(x.name, 0), + ) + if len(metric_nodes) != len(metrics): + not_found = set(metrics) - {metric.name for metric in metric_nodes} + message = f"The following metric nodes were not found: {', '.join(not_found)}" + raise DJNodeNotFound( + message, + errors=[DJError(code=ErrorCode.UNKNOWN_NODE, message=message)], + ) + return metric_nodes + + +async def check_dimension_attributes_exist( + session: AsyncSession, + dimensions: list[str], +) -> Tuple[list[FullColumnName], Dict[str, Node]]: + """ + Verify that the provided dimension attributes exist + """ + dimension_attributes: list[FullColumnName] = [ + FullColumnName(dimension_attribute) for dimension_attribute in dimensions + ] + dimension_node_names = [attr.node_name for attr in dimension_attributes] + dimension_nodes: Dict[str, Node] = { + node.name: node + for node in await Node.get_by_names( + session, + dimension_node_names, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.columns).options( + selectinload(Column.node_revision), + ), + defer(NodeRevision.query_ast), + ), + ], + ) + } + missing_dimensions = set(dimension_node_names) - set(dimension_nodes) + if missing_dimensions: # pragma: no cover + missing_dimension_attributes = ", ".join( # pragma: no cover + [ + attr.name + for attr in dimension_attributes + if attr.node_name in missing_dimensions + ], + ) + message = ( + f"Please make sure that `{missing_dimension_attributes}` " + "is a dimensional attribute." + ) + raise DJInvalidInputException( # pragma: no cover + message, + errors=[DJError(code=ErrorCode.INVALID_DIMENSION, message=message)], + ) + return dimension_attributes, dimension_nodes + + +async def get_history( + session: AsyncSession, + entity_type: EntityType, + entity_name: str, + offset: int, + limit: int, +): + """ + Get the history for a given entity type and name + """ + return ( + ( + await session.execute( + select(History) + .where(History.entity_type == entity_type) + .where(History.entity_name == entity_name) + .offset(offset) + .limit(limit) + .order_by(History.created_at.desc()), + ) + ) + .scalars() + .all() + ) + + +def validate_orderby( + orderby: List[str], + metrics: List[str], + dimension_attributes: List[str], +): + """ + Validate that all elements in an order by match a metric or dimension attribute + """ + invalid_orderbys = [] + for orderby_element in orderby: + if orderby_element.split(" ")[0] not in metrics + dimension_attributes: + invalid_orderbys.append(orderby_element) + if invalid_orderbys: + raise DJInvalidInputException( + message=( + f"Columns {invalid_orderbys} in order by clause must also be " + "specified in the metrics or dimensions" + ), + ) + + +async def find_existing_cube( + session: AsyncSession, + metric_columns: List[Column], + dimension_columns: List[Column], + materialized: bool = True, +) -> Optional[NodeRevision]: + """ + Find an existing cube with these metrics and dimensions, if any. + If `materialized` is set, it will only look for materialized cubes. + """ + element_names = [col.name for col in (metric_columns + dimension_columns)] + statement = select(Node).join( + NodeRevision, + onclause=( + and_( + (Node.id == NodeRevision.node_id), + (Node.current_version == NodeRevision.version), + ) + ), + ) + for name in element_names: + statement = statement.filter( + NodeRevision.cube_elements.any(Column.name == name), # type: ignore + ).options( + joinedload(Node.current).options( + joinedload(NodeRevision.materializations), + joinedload(NodeRevision.availability), + ), + ) + + existing_cubes = (await session.execute(statement)).unique().scalars().all() + for cube in existing_cubes: + if not materialized or ( # pragma: no cover + materialized and cube.current.materializations and cube.current.availability + ): + return cube.current + + return None + + +async def resolve_engine( + session: AsyncSession, + node: Node, + engine_name: str | None = None, + engine_version: str | None = None, + dialect: Dialect | None = None, +) -> Engine: + """ + Resolve which engine should be used to execute node SQL. + The engine is determined in the following order: + 1. If an explicit engine name and version are provided, fetch that engine + from the database. + 2. Otherwise, fall back to the first engine associated with the node's + catalog that matches the requested dialect. + 3. Validate that the chosen engine is available for the given node. + """ + available_engines = [ + eng + for eng in node.current.catalog.engines + if not dialect or eng.dialect == dialect + ] + engine = ( + await get_engine(session, engine_name, engine_version) # type: ignore + if engine_name + else available_engines[0] + ) + if engine not in available_engines: + raise DJInvalidInputException( # pragma: no cover + f"The selected engine is not available for the node {node.name}. " + f"Available engines include: {', '.join(engine.name for engine in available_engines)}", + ) + return engine + + +async def query_event_stream( + query: QueryWithResults, + request_headers: Optional[Dict[str, str]], + query_service_client: QueryServiceClient, + columns: List[Column], + request, + timeout: float = 0.0, + stream_delay: float = 0.5, + retry_timeout: int = 5000, +): + """ + A generator of events from a query submitted to the query service + """ + starting_time = time.time() + # Start with query and query_next as the initial state of the query + query_prev = query_next = query + query_id = query_prev.id + _logger.info("sending initial event to the client for query %s", query_id) + yield { + "event": "message", + "id": uuid.uuid4(), + "retry": retry_timeout, + "data": json.dumps(query.json()), + } + # Continuously check the query until it's complete + while not timeout or (time.time() - starting_time < timeout): + # Check if the client closed the connection + if await request.is_disconnected(): # pragma: no cover + _logger.error("connection closed by the client") + break + + # Check the current state of the query + query_next = query_service_client.get_query( # type: ignore # pragma: no cover + query_id=query_id, + request_headers=request_headers, + ) + if query_next.state in END_JOB_STATES: # pragma: no cover + _logger.info( # pragma: no cover + "query end state detected (%s), sending final event to the client", + query_next.state, + ) + if query_next.results.root: # pragma: no cover + query_next.results.root[0].columns = columns or [] + yield { + "event": "message", + "id": uuid.uuid4(), + "retry": retry_timeout, + "data": json.dumps(query_next.json()), + } + _logger.info("connection closed by the server") + break + if query_prev != query_next: # pragma: no cover + _logger.info( + "query information has changed, sending an event to the client", + ) + yield { + "event": "message", + "id": uuid.uuid4(), + "retry": retry_timeout, + "data": json.dumps(query_next.json()), + } + + query = query_next + await asyncio.sleep(stream_delay) # pragma: no cover + + +async def build_sql_for_dj_query( # pragma: no cover + session: AsyncSession, + query: str, + access_checker: AccessChecker, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, +) -> Tuple[TranslatedSQL, Engine, Catalog]: + """ + Build SQL for multiple metrics. Used by /djsql endpoints + """ + + query_ast, dj_nodes = await build_dj_query(session, query) + + for node in dj_nodes: # pragma: no cover + access_checker.add_node( # pragma: no cover + node.current, + access.ResourceAction.READ, + ) + + await access_checker.check(on_denied=AccessDenialMode.RAISE) # pragma: no cover + + leading_metric_node = dj_nodes[0] # pragma: no cover + available_engines = ( # pragma: no cover + leading_metric_node.current.catalog.engines + if leading_metric_node.current.catalog + else [] + ) + + # Check if selected engine is available + engine = ( # pragma: no cover + await get_engine(session, engine_name, engine_version) # type: ignore + if engine_name + else available_engines[0] + ) + + if engine not in available_engines: # pragma: no cover + raise DJInvalidInputException( # pragma: no cover + f"The selected engine is not available for the node {leading_metric_node.name}. " + f"Available engines include: {', '.join(engine.name for engine in available_engines)}", + ) + + columns = [ # pragma: no cover + ColumnMetadata(name=col.alias_or_name.name, type=str(col.type)) # type: ignore + for col in query_ast.select.projection + ] + + return ( # pragma: no cover + TranslatedSQL.create( + sql=str(query_ast), + columns=columns, + dialect=engine.dialect if engine else None, + ), + engine, + leading_metric_node.current.catalog, + ) + + +def assemble_column_metadata( + column: ast.Column, + use_semantic_metadata: bool = False, +) -> ColumnMetadata: + """ + Extract column metadata from AST + """ + has_semantic_entity = hasattr(column, "semantic_entity") and column.semantic_entity + + if use_semantic_metadata and has_semantic_entity: + column_name = column.semantic_entity.split(SEPARATOR)[-1] # type: ignore + node_name = SEPARATOR.join(column.semantic_entity.split(SEPARATOR)[:-1]) # type: ignore + else: + column_name = getattr(column.name, "name", None) + node_name = ( + from_amenable_name(column.table.alias_or_name.name) # type: ignore + if hasattr(column, "table") and column.table + else None + ) + + metadata = ColumnMetadata( + name=column.alias_or_name.name, + type=str(column.type), + column=column_name, + node=node_name, + semantic_entity=column.semantic_entity + if hasattr(column, "semantic_entity") + else None, + semantic_type=column.semantic_type + if hasattr(column, "semantic_type") + else None, + ) + return metadata + + +async def save_history( + event: History, + session: AsyncSession, + _notify: Callable[ + [History], + None, + ], # To use a different notify function, inject a get_notifier dependency +) -> None: + """ + Save a history event to the database and process notifications + """ + session.add(event) + await session.commit() + _notify(event) + + +async def get_save_history(notify: Callable = Depends(get_notifier)) -> Callable: + """ + Dependency provider for save history function + """ + + async def save_history_with_notify(event, session): + await save_history(event, session, notify) + + return save_history_with_notify + + +def get_materialization_info( + query_service_client: QueryServiceClient, + node: Node, + include_all_revisions: bool, + show_inactive: bool, + request_headers: Optional[Dict[str, str]] = None, +): + """Get materializations for a node + + If include_all_revisions=true this pulls materializations for each node revision and + combines them into a single list. Otherwise it just pulls materializations for the + current node revision. + + If show_inactive=true this also returns materializations with a deactivated_at timestamp + """ + return ( + [ + materialization + for node_revision in node.revisions # type: ignore + for materialization in get_node_revision_materialization( + query_service_client=query_service_client, + node_revision=node_revision, + show_inactive=show_inactive, + request_headers=request_headers, + ) + ] + if include_all_revisions + else get_node_revision_materialization( + query_service_client=query_service_client, + node_revision=node.current, # type: ignore + show_inactive=show_inactive, + request_headers=request_headers, + ) + ) + + +def get_node_revision_materialization( + query_service_client: QueryServiceClient, + node_revision: NodeRevision, + show_inactive: bool, + request_headers: Optional[Dict[str, str]] = None, +) -> list[MaterializationConfigInfoUnified]: + """Merge in materialization info from the query service for a node revision""" + materializations = [] + for materialization in node_revision.materializations: + if not materialization.deactivated_at or show_inactive: + info = query_service_client.get_materialization_info( + node_revision.name, + node_revision.version, + node_revision.type, + materialization.name, + request_headers=request_headers, + ) + if materialization.strategy != MaterializationStrategy.INCREMENTAL_TIME: + info.urls = [info.urls[0]] + materialization_config_output = MaterializationConfigOutput.model_validate( + materialization, + ) + # Use workflow_urls from V3 config if available, otherwise fall back to + # query service urls + config_dict = materialization_config_output.config + if config_dict.get("workflow_urls"): # pragma: no cover + info.urls = config_dict["workflow_urls"] + materializations.append( + MaterializationConfigInfoUnified( + **materialization_config_output.model_dump(), + **info.model_dump(), + ), + ) + return materializations diff --git a/datajunction-server/datajunction_server/api/hierarchies.py b/datajunction-server/datajunction_server/api/hierarchies.py new file mode 100644 index 000000000..2e4c2b21a --- /dev/null +++ b/datajunction-server/datajunction_server/api/hierarchies.py @@ -0,0 +1,448 @@ +""" +Hierarchies API endpoints. + +Handles creation, retrieval, updating, deletion, and validation of hierarchies. +""" + +from http import HTTPStatus +from typing import Callable, List, cast + +from fastapi import Depends, Query +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.api.helpers import get_save_history +from datajunction_server.database.hierarchy import ( + Hierarchy, + HierarchyLevel, +) +from datajunction_server.database.history import History +from datajunction_server.database.node import Node +from datajunction_server.database.user import User +from datajunction_server.models.node_type import NodeType +from datajunction_server.errors import ( + DJAlreadyExistsException, + DJDoesNotExistException, + DJInvalidInputException, +) +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.models.user import UserNameOnly +from datajunction_server.models.node import NodeNameOutput +from datajunction_server.models.hierarchy import ( + HierarchyCreateRequest, + HierarchyOutput, + HierarchyInfo, + HierarchyLevelOutput, + HierarchyUpdateRequest, + DimensionHierarchiesResponse, + DimensionHierarchyNavigation, + NavigationTarget, +) +from datajunction_server.utils import ( + get_current_user, + get_session, +) + +router = SecureAPIRouter(tags=["hierarchies"]) + + +@router.get("/hierarchies/", response_model=List[HierarchyInfo]) +async def list_all_hierarchies( + limit: int = Query(100, description="Maximum number of hierarchies to return"), + offset: int = Query(0, description="Number of hierarchies to skip"), + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> List[HierarchyInfo]: + """ + List all available hierarchies. + """ + hierarchies = await Hierarchy.list_all(session, limit=limit, offset=offset) + + return [ + HierarchyInfo( + name=h.name, + display_name=h.display_name, + description=h.description, + created_by=UserNameOnly(username=h.created_by.username), + created_at=h.created_at, + level_count=len(h.levels), + ) + for h in hierarchies + ] + + +@router.get( + "/nodes/{dimension}/hierarchies/", + response_model=DimensionHierarchiesResponse, +) +async def get_dimension_hierarchies( + dimension: str, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> DimensionHierarchiesResponse: + """ + Get all hierarchies that use a specific dimension node and show navigation options. + + This endpoint helps users discover: + - What hierarchies include this dimension + - What position the dimension occupies in each hierarchy + - What other dimensions they can drill up or down to + """ + # Validate that the dimension node exists and is a dimension + node = cast( + Node, + await Node.get_by_name(session, dimension, raise_if_not_exists=True), + ) + + if node.type != NodeType.DIMENSION: + raise DJInvalidInputException( + message=f"Node '{dimension}' is not a dimension node (type: {node.type})", + ) + + # Find all hierarchies that use this dimension + hierarchies_using_dimension = await Hierarchy.get_using_dimension( + session, + node.id, + ) + + # Build navigation information for each hierarchy + navigation_info = [] + for hierarchy in hierarchies_using_dimension: + # Find the level that references this dimension + current_level = None + for level in hierarchy.levels: # pragma: no cover + if level.dimension_node_id == node.id: + current_level = level + break + + if not current_level: + continue # pragma: no cover + + # Get sorted levels for navigation + sorted_levels = sorted(hierarchy.levels, key=lambda lvl: lvl.level_order) + + # Build drill-up targets (lower level_order = coarser grain) + drill_up = [ + NavigationTarget( + level_name=level.name, + dimension_node=level.dimension_node.name, + level_order=level.level_order, + steps=current_level.level_order - level.level_order, + ) + for level in sorted_levels + if level.level_order < current_level.level_order + ] + + # Build drill-down targets (higher level_order = finer grain) + drill_down = [ + NavigationTarget( + level_name=level.name, + dimension_node=level.dimension_node.name, + level_order=level.level_order, + steps=level.level_order - current_level.level_order, + ) + for level in sorted_levels + if level.level_order > current_level.level_order + ] + + navigation_info.append( + DimensionHierarchyNavigation( + hierarchy_name=hierarchy.name, + hierarchy_display_name=hierarchy.display_name, + current_level=current_level.name, + current_level_order=current_level.level_order, + drill_up=drill_up, + drill_down=drill_down, + ), + ) + + return DimensionHierarchiesResponse( + dimension_node=dimension, + hierarchies=navigation_info, + ) + + +@router.post( + "/hierarchies/", + response_model=HierarchyOutput, + status_code=HTTPStatus.CREATED, +) +async def create_hierarchy( + hierarchy_data: HierarchyCreateRequest, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), +) -> HierarchyOutput: + """ + Create a new hierarchy definition. + """ + # Check if hierarchy already exists + existing = await Hierarchy.get_by_name(session, hierarchy_data.name) + if existing: + raise DJAlreadyExistsException( + message=f"Hierarchy '{hierarchy_data.name}' already exists", + ) + + # Validate hierarchy structure (this also resolves dimension node names to IDs) + validation_errors, existing_nodes = await Hierarchy.validate_levels( + session, + hierarchy_data.levels, + ) + if validation_errors: + raise DJInvalidInputException( + message=f"Hierarchy validation failed: {'; '.join(validation_errors)}", + ) + + # Resolve dimension node names to IDs for creation (validation already confirmed they exist) + dimension_nodes = { + level.dimension_node: existing_nodes[level.dimension_node].id + for level in hierarchy_data.levels + } + + # Create hierarchy + hierarchy = Hierarchy( + name=hierarchy_data.name, + display_name=hierarchy_data.display_name, + description=hierarchy_data.description, + created_by_id=current_user.id, + ) + session.add(hierarchy) + await session.flush() # Get the ID + + # Create levels + for idx, level_input in enumerate(hierarchy_data.levels): + level = HierarchyLevel( + hierarchy_id=hierarchy.id, + name=level_input.name, + dimension_node_id=dimension_nodes[level_input.dimension_node], + level_order=idx, + grain_columns=level_input.grain_columns, + ) + session.add(level) + + await session.commit() + + # Log creation in history + await save_history( + event=History( + entity_type=EntityType.HIERARCHY, + entity_name=hierarchy.name, + activity_type=ActivityType.CREATE, + user=current_user.username, + post={ + "name": hierarchy.name, + "display_name": hierarchy.display_name, + "description": hierarchy.description, + "levels": [ + { + "name": level_input.name, + "dimension_node_id": dimension_nodes[ + level_input.dimension_node + ], + "level_order": idx, + "grain_columns": level_input.grain_columns, + } + for idx, level_input in enumerate(hierarchy_data.levels) + ], + }, + ), + session=session, + ) + + # Reload with relationships + created_hierarchy = cast( + Hierarchy, + await Hierarchy.get_by_id(session, hierarchy.id), + ) + return _convert_to_output(created_hierarchy) + + +@router.get("/hierarchies/{name}", response_model=HierarchyOutput) +async def get_hierarchy( + name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> HierarchyOutput: + """ + Get a specific hierarchy by name. + """ + hierarchy = await Hierarchy.get_by_name(session, name) + if not hierarchy: + raise DJDoesNotExistException(message=f"Hierarchy '{name}' not found") + return _convert_to_output(hierarchy) + + +@router.put("/hierarchies/{name}", response_model=HierarchyOutput) +async def update_hierarchy( + name: str, + update_data: HierarchyUpdateRequest, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history=Depends(get_save_history), +) -> HierarchyOutput: + """ + Update a hierarchy. + """ + hierarchy = await Hierarchy.get_by_name(session, name) + if not hierarchy: + raise DJDoesNotExistException(message=f"Hierarchy '{name}' not found") + + # Capture pre-state for history + pre_state = { + "name": hierarchy.name, + "display_name": hierarchy.display_name, + "description": hierarchy.description, + "levels": [ + { + "name": level.name, + "dimension_node_id": level.dimension_node_id, + "level_order": level.level_order, + "grain_columns": level.grain_columns, + } + for level in sorted(hierarchy.levels, key=lambda lvl: lvl.level_order) + ], + } + + # Update basic fields + if update_data.display_name is not None: + hierarchy.display_name = update_data.display_name + if update_data.description is not None: + hierarchy.description = update_data.description + + # Update levels if provided + if update_data.levels is not None: + # Validate hierarchy structure (this also resolves dimension node names to IDs) + validation_errors, dimension_nodes = await Hierarchy.validate_levels( + session, + update_data.levels, + ) + if validation_errors: + raise DJInvalidInputException( + message=f"Hierarchy validation failed: {'; '.join(validation_errors)}", + ) + + # Delete existing levels by clearing the collection + hierarchy.levels.clear() + await session.flush() + + # Create new levels + for idx, level_input in enumerate(update_data.levels): + level = HierarchyLevel( + hierarchy_id=hierarchy.id, + name=level_input.name, + dimension_node_id=dimension_nodes[level_input.dimension_node].id, + level_order=idx, + grain_columns=level_input.grain_columns, + ) + hierarchy.levels.append(level) + + await session.commit() + + updated_hierarchy = cast( + Hierarchy, + await Hierarchy.get_by_id(session, hierarchy.id), + ) + + # Log update in history + post_state = { + "name": updated_hierarchy.name, + "display_name": updated_hierarchy.display_name, + "description": updated_hierarchy.description, + "levels": [ + { + "name": level.name, + "dimension_node_id": level.dimension_node_id, + "level_order": level.level_order, + "grain_columns": level.grain_columns, + } + for level in sorted( + updated_hierarchy.levels, + key=lambda lvl: lvl.level_order, + ) + ], + } + await save_history( + event=History( + entity_type=EntityType.HIERARCHY, + entity_name=updated_hierarchy.name, + activity_type=ActivityType.UPDATE, + user=current_user.username, + pre=pre_state, + post=post_state, + ), + session=session, + ) + + return _convert_to_output(updated_hierarchy) + + +@router.delete("/hierarchies/{name}", status_code=HTTPStatus.NO_CONTENT) +async def delete_hierarchy( + name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history=Depends(get_save_history), +) -> None: + """ + Delete a hierarchy. + """ + hierarchy = await Hierarchy.get_by_name(session, name) + if not hierarchy: + raise DJDoesNotExistException(message=f"Hierarchy '{name}' not found") + + # Capture pre-state for history before deletion + pre_state = { + "name": hierarchy.name, + "display_name": hierarchy.display_name, + "description": hierarchy.description, + "levels": [ + { + "name": level.name, + "dimension_node_id": level.dimension_node_id, + "level_order": level.level_order, + "grain_columns": level.grain_columns, + } + for level in sorted(hierarchy.levels, key=lambda lvl: lvl.level_order) + ], + } + + await session.delete(hierarchy) + await session.commit() + + # Log deletion in history + await save_history( + event=History( + entity_type=EntityType.HIERARCHY, + entity_name=name, + activity_type=ActivityType.DELETE, + user=current_user.username, + pre=pre_state, + ), + session=session, + ) + + +def _convert_to_output(hierarchy: Hierarchy) -> HierarchyOutput: + """Convert database hierarchy to output model.""" + return HierarchyOutput( + name=hierarchy.name, + display_name=hierarchy.display_name, + description=hierarchy.description, + created_by=UserNameOnly(username=hierarchy.created_by.username), + created_at=hierarchy.created_at, + levels=[ + HierarchyLevelOutput( + name=level.name, + dimension_node=NodeNameOutput(name=level.dimension_node.name), + level_order=level.level_order, + grain_columns=level.grain_columns, + ) + for level in sorted(hierarchy.levels, key=lambda lvl: int(lvl.level_order)) + ], + ) diff --git a/datajunction-server/datajunction_server/api/history.py b/datajunction-server/datajunction_server/api/history.py new file mode 100644 index 000000000..57ad1e5a4 --- /dev/null +++ b/datajunction-server/datajunction_server/api/history.py @@ -0,0 +1,88 @@ +""" +History related APIs. +""" + +import logging +from typing import List, Optional + +from fastapi import Depends, Query +from sqlalchemy import select, and_, cast, func, String +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import aliased + +from datajunction_server.api.helpers import get_history +from datajunction_server.database.history import History +from datajunction_server.database.notification_preference import NotificationPreference +from datajunction_server.database.user import User +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.history import EntityType +from datajunction_server.models.history import HistoryOutput +from datajunction_server.utils import ( + get_current_user, + get_session, + get_settings, +) + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["history"]) + + +@router.get("/history/{entity_type}/{entity_name}/", response_model=List[HistoryOutput]) +async def list_history( + entity_type: EntityType, + entity_name: str, + offset: int = 0, + limit: int = Query(default=100, lte=100), + *, + session: AsyncSession = Depends(get_session), +) -> List[HistoryOutput]: + """ + List history for an entity type (i.e. Node) and entity name + """ + hist = await get_history( + session=session, + entity_name=entity_name, + entity_type=entity_type, + offset=offset, + limit=limit, + ) + return [HistoryOutput.model_validate(entry) for entry in hist] + + +@router.get("/history/", response_model=List[HistoryOutput]) +async def list_history_by_node_context( + node: Optional[str] = None, + only_subscribed: bool = False, + offset: int = 0, + limit: int = Query(default=100, lte=100), + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> List[HistoryOutput]: + """ + List all activity history for a node context + """ + statement = select(History) + if node: + statement = statement.where(History.node == node) + if only_subscribed: + np_alias = aliased(NotificationPreference) + statement = statement.join( + np_alias, + and_( + cast(History.entity_type, String) == cast(np_alias.entity_type, String), + History.entity_name == np_alias.entity_name, + cast(History.activity_type, String).in_( + func.array_to_string(np_alias.activity_types, ","), + ), + np_alias.user_id == current_user.id, + ), + ) + + statement = ( + statement.order_by(History.created_at.desc()).offset(offset).limit(limit) + ) + result = await session.execute(statement) + hist = result.scalars().all() + return [HistoryOutput.model_validate(entry) for entry in hist] diff --git a/datajunction-server/datajunction_server/api/logging.conf b/datajunction-server/datajunction_server/api/logging.conf new file mode 100644 index 000000000..867f5ed84 --- /dev/null +++ b/datajunction-server/datajunction_server/api/logging.conf @@ -0,0 +1,30 @@ +[loggers] +keys=root + +[handlers] +keys=consoleHandler,detailedConsoleHandler + +[formatters] +keys=normalFormatter,detailedFormatter + +[logger_root] +level=INFO +handlers=consoleHandler + +[handler_consoleHandler] +class=StreamHandler +level=DEBUG +formatter=normalFormatter +args=(sys.stdout,) + +[handler_detailedConsoleHandler] +class=StreamHandler +level=DEBUG +formatter=detailedFormatter +args=(sys.stdout,) + +[formatter_normalFormatter] +format=[%(asctime)s] %(levelname)s: %(name)s: %(message)s + +[formatter_detailedFormatter] +format=%(asctime)s loglevel=%(levelname)-6s logger=%(name)s %(funcName)s() L%(lineno)-4d %(message)s call_trace=%(pathname)s L%(lineno)-4d diff --git a/datajunction-server/datajunction_server/api/main.py b/datajunction-server/datajunction_server/api/main.py new file mode 100644 index 000000000..4a4f7075f --- /dev/null +++ b/datajunction-server/datajunction_server/api/main.py @@ -0,0 +1,182 @@ +""" +Main DJ server app. +""" + +import logging + +from fastapi.concurrency import asynccontextmanager +from datajunction_server.api import setup_logging # noqa + +from http import HTTPStatus +from typing import TYPE_CHECKING + +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse +from fastapi_cache import FastAPICache +from fastapi_cache.backends.inmemory import InMemoryBackend +from starlette.middleware.cors import CORSMiddleware + +from datajunction_server import __version__ +from datajunction_server.api import ( + attributes, + catalogs, + client, + collection, + cubes, + data, + deployments, + dimensions, + djsql, + engines, + groups, + health, + hierarchies, + history, + materializations, + measures, + metrics, + namespaces, + nodes, + notifications, + preaggregations, + rbac, + sql, + system, + tags, + users, +) + +from datajunction_server.api.access.authentication import basic, whoami, service_account +from datajunction_server.api.attributes import default_attribute_types +from datajunction_server.internal.seed import seed_default_catalogs +from datajunction_server.api.graphql.main import graphql_app, schema as graphql_schema # noqa: F401 +from datajunction_server.constants import AUTH_COOKIE, LOGGED_IN_FLAG_COOKIE +from datajunction_server.errors import DJException +from datajunction_server.utils import get_session_manager, get_settings + +if TYPE_CHECKING: # pragma: no cover + pass + +_logger = logging.getLogger(__name__) +settings = get_settings() + + +@asynccontextmanager +async def lifespan(app: FastAPI): # pragma: no cover + """ + Lifespan context for initializing and tearing down app-wide resources, like the FastAPI cache + """ + FastAPICache.init(InMemoryBackend(), prefix="inmemory-cache") # pragma: no cover + + # Use scoped_session only for request lifecycle sessions. For setup/teardown (lifespan), + # prefer direct session factories and async with + session_factory = get_session_manager().get_writer_session_factory() + async with session_factory() as session: + await default_attribute_types(session) + await seed_default_catalogs(session) + + yield + + +def create_app(lifespan): + app = FastAPI( + title=settings.name, + description=settings.description, + version=__version__, + license_info={ + "name": "MIT License", + "url": "https://mit-license.org/", + }, + lifespan=lifespan, + ) + configure_app(app) + return app + + +def configure_app(app: FastAPI) -> None: + app.add_middleware( + CORSMiddleware, + allow_origins=settings.cors_origin_whitelist, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + app.include_router(catalogs.router) + app.include_router(collection.router) + app.include_router(deployments.router) + app.include_router(engines.router) + app.include_router(metrics.router) + app.include_router(djsql.router) + app.include_router(nodes.router) + app.include_router(namespaces.router) + app.include_router(materializations.router) + app.include_router(measures.router) + app.include_router(data.router) + app.include_router(health.router) + app.include_router(history.router) + app.include_router(cubes.router) + app.include_router(tags.router) + app.include_router(attributes.router) + app.include_router(sql.router) + app.include_router(client.router) + app.include_router(dimensions.router) + app.include_router(hierarchies.router) + app.include_router(graphql_app, prefix="/graphql") + app.include_router(whoami.router) + app.include_router(users.router) + app.include_router(groups.router) + app.include_router(rbac.router) + app.include_router(basic.router) + app.include_router(notifications.router) + app.include_router(preaggregations.router) + app.include_router(service_account.secure_router) + app.include_router(service_account.router) + app.include_router(system.router) + + @app.exception_handler(DJException) + async def dj_exception_handler( + request: Request, + exc: DJException, + ) -> JSONResponse: + """ + Capture errors and return JSON. + """ + _logger.exception(exc) + response = JSONResponse( + status_code=exc.http_status_code, + content=exc.to_dict(), + headers={"X-DJ-Error": "true", "X-DBAPI-Exception": exc.dbapi_exception}, + ) + # If unauthorized, clear out any DJ cookies + if exc.http_status_code == HTTPStatus.UNAUTHORIZED: + response.delete_cookie(AUTH_COOKIE, httponly=True) + response.delete_cookie(LOGGED_IN_FLAG_COOKIE) + return response + + # Only mount github auth router if a github client id and secret are configured + if all( + [ + settings.secret, + settings.github_oauth_client_id, + settings.github_oauth_client_secret, + ], + ): # pragma: no cover + from datajunction_server.api.access.authentication import github + + app.include_router(github.router) + + # Only mount google auth router if a google oauth is configured + if all( + [ + settings.secret, + settings.google_oauth_client_id, + settings.google_oauth_client_secret, + settings.google_oauth_client_secret_file, + ], + ): # pragma: no cover + from datajunction_server.api.access.authentication import google + + app.include_router(google.router) + + +app = create_app(lifespan=lifespan) diff --git a/datajunction-server/datajunction_server/api/materializations.py b/datajunction-server/datajunction_server/api/materializations.py new file mode 100644 index 000000000..64d41534a --- /dev/null +++ b/datajunction-server/datajunction_server/api/materializations.py @@ -0,0 +1,584 @@ +""" +Node materialization related APIs. +""" + +import logging +from datetime import datetime, timezone +from http import HTTPStatus +from typing import Annotated, Callable, List + +from fastapi import Depends, Request +from pydantic import Discriminator +from fastapi.responses import JSONResponse +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload + +from datajunction_server.api.helpers import get_save_history, get_materialization_info +from datajunction_server.database import Node, NodeRevision +from datajunction_server.database.backfill import Backfill +from datajunction_server.database.column import Column, ColumnAttribute +from datajunction_server.database.history import History +from datajunction_server.database.user import User +from datajunction_server.errors import DJDoesNotExistException, DJInvalidInputException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + get_access_checker, +) +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.internal.materializations import ( + create_new_materialization, + schedule_materialization_jobs, +) +from datajunction_server.materialization.jobs import MaterializationJob +from datajunction_server.models.base import labelize +from datajunction_server.models.cube_materialization import UpsertCubeMaterialization +from datajunction_server.models.node import AvailabilityStateInfo +from datajunction_server.models.materialization import ( + MaterializationConfigInfoUnified, + MaterializationInfo, + MaterializationJobTypeEnum, + MaterializationStrategy, + UpsertMaterialization, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import PartitionBackfill +from datajunction_server.naming import amenable_name +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.typing import UTCDatetime +from datajunction_server.utils import ( + get_current_user, + get_query_service_client, + get_session, + get_settings, +) + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["materializations"]) + + +@router.get( + "/materialization/info", + status_code=200, + name="Materialization Jobs Info", +) +def materialization_jobs_info() -> JSONResponse: + """ + Materialization job types and strategies + """ + return JSONResponse( + status_code=200, + content={ + "job_types": [ + value.value.model_dump() for value in MaterializationJobTypeEnum + ], + "strategies": [ + {"name": value, "label": labelize(value)} + for value in MaterializationStrategy + ], + }, + ) + + +@router.post( + "/nodes/{node_name}/materialization/", + status_code=201, + name="Insert or Update a Materialization for a Node", +) +async def upsert_materialization( + node_name: str, + materialization: Annotated[ + UpsertCubeMaterialization | UpsertMaterialization, + Discriminator("job"), + ], + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Add or update a materialization of the specified node. If a node_name is specified + for the materialization config, it will always update that named config. + """ + request_headers = dict(request.headers) + node = await Node.get_by_name(session, node_name, raise_if_not_exists=True) + if node.type == NodeType.SOURCE: # type: ignore + raise DJInvalidInputException( + http_status_code=HTTPStatus.BAD_REQUEST, + message=f"Cannot set materialization config for source node `{node_name}`!", + ) + if node.type == NodeType.CUBE: # type: ignore + node = await Node.get_cube_by_name(session, node_name) + _logger.info( + "Upserting materialization for node=%s version=%s", + node.name, # type: ignore + node.current_version, # type: ignore + ) + + current_revision = node.current # type: ignore + old_materializations = {mat.name: mat for mat in current_revision.materializations} + + if materialization.strategy == MaterializationStrategy.INCREMENTAL_TIME: # type: ignore + if not node.current.temporal_partition_columns(): # type: ignore + raise DJInvalidInputException( + http_status_code=HTTPStatus.BAD_REQUEST, + message="Cannot create materialization with strategy " + f"`{materialization.strategy}` without specifying a time partition column!", # type: ignore + ) + + # Create a new materialization + new_materialization = await create_new_materialization( + session, + current_revision, + materialization, + access_checker, # type: ignore + current_user=current_user, + ) + + # Check to see if a materialization for this engine already exists with the exact same config + existing_materialization = old_materializations.get(new_materialization.name) + deactivated_before = False + if ( + existing_materialization + and existing_materialization.config == new_materialization.config + ): + _logger.info( + "Existing materialization found for node=%s version=%s", + node.name, # type: ignore + node.current_version, # type: ignore + ) + new_materialization.node_revision = None # type: ignore + # if the materialization was deactivated before, restore it + if existing_materialization.deactivated_at is not None: + deactivated_before = True + existing_materialization.deactivated_at = None # type: ignore + await save_history( + event=History( + entity_type=EntityType.MATERIALIZATION, + entity_name=existing_materialization.name, + node=node.name, # type: ignore + activity_type=ActivityType.RESTORE, + details={}, + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(existing_materialization) + existing_materialization_info = query_service_client.get_materialization_info( + node_name, + current_revision.version, # type: ignore + current_revision.type, + new_materialization.name, # type: ignore + request_headers=request_headers, + ) + _logger.info( + "Refresh materialization workflows for node=%s version=%s", + node.name, # type: ignore + node.current_version, # type: ignore + ) + await schedule_materialization_jobs( + session, + node_revision_id=current_revision.id, + materialization_names=[new_materialization.name], + query_service_client=query_service_client, + request_headers=request_headers, + ) + return JSONResponse( + status_code=HTTPStatus.CREATED, + content={ + "message": ( + f"The same materialization config with name `{new_materialization.name}` " + f"already exists for node `{node_name}` so no update was performed." + if not deactivated_before + else f"The same materialization config with name `{new_materialization.name}` " + f"already exists for node `{node_name}` but was deactivated. It has now been " + f"restored." + ), + "info": existing_materialization_info.model_dump(), + }, + ) + # If changes are detected, update the existing or save the new materialization + if existing_materialization: + _logger.info( + "Updating existing materialization for node=%s version=%s", + node.name, # type: ignore + node.current_version, # type: ignore + ) + existing_materialization.config = new_materialization.config + existing_materialization.schedule = new_materialization.schedule + new_materialization.node_revision = None # type: ignore + new_materialization = existing_materialization + new_materialization.deactivated_at = None + else: + _logger.info( + "Adding new materialization for node=%s version=%s", + node.name, # type: ignore + node.current_version, # type: ignore + ) + unchanged_existing_materializations = [ + config + for config in current_revision.materializations + if config.name != new_materialization.name + ] + current_revision.materializations = unchanged_existing_materializations + [ # type: ignore + new_materialization, + ] + + # This will add the materialization config, the new node rev, and update the node's version. + session.add(current_revision) + session.add(node) + + await save_history( + event=History( + entity_type=EntityType.MATERIALIZATION, + node=node.name, # type: ignore + entity_name=new_materialization.name, + activity_type=( + ActivityType.CREATE + if not existing_materialization + else ActivityType.UPDATE + ), + details={ + "node": node.name, # type: ignore + "materialization": new_materialization.name, + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + _logger.info( + "Scheduling materialization workflows for node=%s version=%s", + node.name, # type: ignore + node.current_version, # type: ignore + ) + materialization_response = await schedule_materialization_jobs( + session, + node_revision_id=current_revision.id, + materialization_names=[new_materialization.name], + query_service_client=query_service_client, + request_headers=request_headers, + ) + return JSONResponse( + status_code=200, + content={ + "message": ( + f"Successfully updated materialization config named `{new_materialization.name}` " + f"for node `{node_name}`" + ), + "urls": [output.urls for output in materialization_response.values()], + }, + ) + + +@router.get( + "/nodes/{node_name}/materializations/", + response_model=List[MaterializationConfigInfoUnified], + name="List Materializations for a Node", +) +async def list_node_materializations( + node_name: str, + show_inactive: bool = False, + include_all_revisions: bool = False, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), +) -> List[MaterializationConfigInfoUnified]: + """ + Show all materializations configured for the node, with any associated metadata + like urls from the materialization service, if available. + + show_inactive: bool - Show materializations that have a deactivated_at timestamp set + include_all_revisions: bool - Show materializations for all revisions of the node + """ + request_headers = dict(request.headers) + + # If materializations from all revisions are requested, + # this includes the joined load to pull all node revisions + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.revisions).options(*NodeRevision.default_load_options()), + ] + if include_all_revisions + else [], + raise_if_not_exists=True, + ) + + return get_materialization_info( + query_service_client=query_service_client, + node=node, # type: ignore + include_all_revisions=include_all_revisions, + show_inactive=show_inactive, + request_headers=request_headers, + ) + + +@router.delete( + "/nodes/{node_name}/materializations/", + response_model=None, + name="Deactivate a Materialization for a Node", +) +async def deactivate_node_materializations( + node_name: str, + materialization_name: str, + node_version: str | None = None, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), +) -> JSONResponse: + """ + Deactivate the node materialization with the provided name. + Also calls the query service to deactivate the associated scheduled jobs. + + If node_version not provided, it will deactivate the materialization + for the current version of the node. + """ + request_headers = dict(request.headers) + + # find the node revision to deactivate the materialization for + node_revision = None + if node_version: + stmt = ( + select(NodeRevision) + .options(*NodeRevision.default_load_options()) + .where(NodeRevision.name == node_name, NodeRevision.version == node_version) + ) + result = await session.execute(stmt) + node_revision = result.scalars().first() + if not node_revision: + raise DJDoesNotExistException( # pragma: no cover + f"Node revision with version '{node_version}' not found for node {node_name} .", + ) + else: + node = await Node.get_by_name(session, node_name) + node_revision = node.current # type: ignore + + # find the materialization to deactivate + materialization_to_deactivate = None + for materialization in node_revision.materializations: # type: ignore + if materialization.name == materialization_name: + materialization_to_deactivate = materialization + break + if not materialization_to_deactivate: + raise DJDoesNotExistException( + f"Materialization with name '{materialization_name}' not found on " + f"version {node_version} of node {node_name} .", + ) + elif materialization_to_deactivate.deactivated_at: # pragma: no cover + return JSONResponse( + status_code=HTTPStatus.OK, + content={ + "message": f"Materialization named `{materialization_name}` on node `{node_name}` " + f"version `{node_revision.version}` has been already inactive.", # type: ignore + }, + ) + # do the deactivation + query_service_client.deactivate_materialization( + node_name, + materialization_name, + node_version=node_revision.version, # type: ignore + request_headers=request_headers, + ) + now = datetime.now(timezone.utc) + materialization_to_deactivate.deactivated_at = UTCDatetime( + year=now.year, + month=now.month, + day=now.day, + hour=now.hour, + minute=now.minute, + second=now.second, + ) + session.add(materialization_to_deactivate) + # save the history event + await save_history( + event=History( + entity_type=EntityType.MATERIALIZATION, + entity_name=materialization_name, + node=node_name, + version=node_revision.version, # type: ignore + activity_type=ActivityType.DELETE, + details={}, + user=current_user.username, + ), + session=session, + ) + await session.commit() + # await session.refresh(node.current) # type: ignore + return JSONResponse( + status_code=HTTPStatus.OK, + content={ + "message": f"Materialization named `{materialization_name}` on node `{node_name}` " + f"version `{node_revision.version}` has been successfully deactivated", + }, + ) + + +@router.post( + "/nodes/{node_name}/materializations/{materialization_name}/backfill", + status_code=201, + name="Kick off a backfill run for a configured materialization", +) +async def run_materialization_backfill( + node_name: str, + materialization_name: str, + backfill_partitions: List[PartitionBackfill], + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), +) -> MaterializationInfo: + """ + Start a backfill for a configured materialization. + """ + request_headers = dict(request.headers) + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.columns).options( + selectinload(Column.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + selectinload(Column.dimension), + selectinload(Column.partition), + ), + selectinload(NodeRevision.materializations), + ), + ], + ) + node_revision = node.current # type: ignore + materializations = [ + mat + for mat in node_revision.materializations + if mat.name == materialization_name + ] + if not materializations: + raise DJDoesNotExistException( + f"Materialization with name {materialization_name} not found", + ) + + materialization = materializations[0] + temporal_partitions = { + col.name: col for col in node_revision.temporal_partition_columns() + } + categorical_partitions = { + col.name: col for col in node_revision.categorical_partition_columns() + } + for backfill_spec in backfill_partitions: + if backfill_spec.column_name not in set(temporal_partitions).union( + set(categorical_partitions), + ): + raise DJDoesNotExistException( # pragma: no cover + f"Partition with name {backfill_spec.column_name} does not exist on node", + ) + backfill_spec.column_name = amenable_name(backfill_spec.column_name) + materialization_jobs = { + cls.__name__: cls for cls in MaterializationJob.__subclasses__() + } + clazz = materialization_jobs.get(materialization.job) + if not clazz: + raise DJDoesNotExistException( # pragma: no cover + f"Materialization job {materialization.job} does not exist", + ) + + materialization_output = clazz().run_backfill( # type: ignore + materialization, + backfill_partitions, + query_service_client, + request_headers=request_headers, + ) + backfill = Backfill( + materialization=materialization, + spec=[ + backfill_partition.model_dump() + for backfill_partition in backfill_partitions + ], + urls=materialization_output.urls, + ) + materialization.backfills.append(backfill) + + await save_history( + event=History( + entity_type=EntityType.BACKFILL, + node=node_name, + activity_type=ActivityType.CREATE, + details={ + "materialization": materialization_name, + "partition": [ + backfill_partition.model_dump() + for backfill_partition in backfill_partitions + ], + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + return materialization_output + + +@router.get( + "/nodes/{node_name}/availability/", + response_model=List[AvailabilityStateInfo], + status_code=200, + name="List All Availability States for a Node", +) +async def list_node_availability_states( + node_name: str, + *, + session: AsyncSession = Depends(get_session), +) -> List[AvailabilityStateInfo]: + """ + Retrieve all availability states for a given node across all revisions. + """ + # Get all revisions with their availability states + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.revisions).options( + selectinload(NodeRevision.availability), + ), + ], + raise_if_not_exists=True, + ) + + # Collect availability states from all revisions + availability_states = [] + for revision in node.revisions: # type: ignore + if revision.availability: + availability_state = AvailabilityStateInfo( + id=revision.availability.id, + catalog=revision.availability.catalog, + schema_=revision.availability.schema_, + table=revision.availability.table, + valid_through_ts=revision.availability.valid_through_ts, + url=revision.availability.url, + links=revision.availability.links, + categorical_partitions=revision.availability.categorical_partitions, + temporal_partitions=revision.availability.temporal_partitions, + min_temporal_partition=revision.availability.min_temporal_partition, + max_temporal_partition=revision.availability.max_temporal_partition, + partitions=revision.availability.partitions, + updated_at=revision.availability.updated_at.isoformat(), + node_revision_id=revision.id, + node_version=revision.version, + ) + availability_states.append(availability_state) + + return availability_states diff --git a/datajunction-server/datajunction_server/api/measures.py b/datajunction-server/datajunction_server/api/measures.py new file mode 100644 index 000000000..3e8d19d98 --- /dev/null +++ b/datajunction-server/datajunction_server/api/measures.py @@ -0,0 +1,212 @@ +""" +Measures related APIs. +""" + +import logging +from typing import List, Optional + +from fastapi import Depends +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload + +from datajunction_server.database import Node, NodeRevision +from datajunction_server.database.column import Column +from datajunction_server.database.measure import Measure, FrozenMeasure +from datajunction_server.errors import DJAlreadyExistsException, DJDoesNotExistException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.models.measure import ( + FrozenMeasureOutput, + CreateMeasure, + EditMeasure, + MeasureOutput, + NodeColumn, +) +from datajunction_server.utils import get_session, get_settings + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["measures"]) + + +async def get_measure_by_name( + session: AsyncSession, + measure_name: str, + raise_if_not_exists: bool = True, +) -> Measure: + """Retrieve a measure by name""" + measure = ( + ( + await session.execute( + select(Measure) + .where(Measure.name == measure_name) + .options( + joinedload(Measure.columns).options( + joinedload(Column.node_revision).options( + *NodeRevision.default_load_options(), + ), + ), + ), + ) + ) + .unique() + .scalars() + .one_or_none() + ) + if raise_if_not_exists and not measure: + raise DJDoesNotExistException( + message=f"Measure with name `{measure_name}` does not exist", + ) + return measure + + +async def get_node_columns( + session: AsyncSession, + node_columns: List[NodeColumn], +) -> List[Column]: + """ + Finds all the specified node columns or raises if they don't exist + """ + measure_columns = [] + for node_column in node_columns: + node = await Node.get_by_name( + session, + node_column.node, + options=[ + joinedload(Node.current).options(*NodeRevision.default_load_options()), + ], + ) + available = [ + col + for col in node.current.columns # type: ignore + if col.name == node_column.column + ] + for col in available: + await session.refresh(col, ["node_revision"]) + if len(available) == 0: + raise DJDoesNotExistException( + message=f"Column `{node_column.column}` does not exist on " + f"node `{node_column.node}`", + ) + measure_columns.extend(available) + return measure_columns + + +@router.get("/measures/", response_model=List[str]) +async def list_measures( + prefix: Optional[str] = None, + session: AsyncSession = Depends(get_session), +) -> List[str]: + """ + List all measures. + """ + statement = select(Measure.name) + if prefix: + statement = statement.where( + Measure.name.like(f"{prefix}%"), # type: ignore + ) + return (await session.execute(statement)).scalars().all() + + +@router.get("/measures/{measure_name}", response_model=MeasureOutput) +async def get_measure( + measure_name: str, + *, + session: AsyncSession = Depends(get_session), +) -> MeasureOutput: + """ + Get info on a measure. + """ + measure = await get_measure_by_name(session, measure_name, raise_if_not_exists=True) + return measure + + +@router.post( + "/measures/", + response_model=MeasureOutput, + status_code=201, + name="Add a Measure", +) +async def add_measure( + data: CreateMeasure, + *, + session: AsyncSession = Depends(get_session), +) -> MeasureOutput: + """ + Add a measure + """ + measure = await get_measure_by_name(session, data.name, raise_if_not_exists=False) + if measure: + raise DJAlreadyExistsException(message=f"Measure `{data.name}` already exists!") + measure_columns = await get_node_columns(session, data.columns) + measure = Measure( + name=data.name, + display_name=data.display_name, + description=data.description, + columns=measure_columns, + additive=data.additive, + ) + session.add(measure) + await session.commit() + await session.refresh(measure) + return measure + + +@router.patch( + "/measures/{measure_name}", + response_model=MeasureOutput, + status_code=201, + name="Edit a Measure", +) +async def edit_measure( + measure_name: str, + data: EditMeasure, + *, + session: AsyncSession = Depends(get_session), +) -> MeasureOutput: + """ + Edit a measure + """ + measure = await get_measure_by_name(session, measure_name, raise_if_not_exists=True) + + if data.description: + measure.description = data.description + + if data.columns is not None: + measure_columns = await get_node_columns(session, data.columns) + measure.columns = measure_columns + + if data.additive: + measure.additive = data.additive + + if data.display_name: + measure.display_name = data.display_name + + session.add(measure) + await session.commit() + await session.refresh(measure) + return measure + + +@router.get("/frozen-measures/", response_model=list[FrozenMeasureOutput]) +async def list_frozen_measures( + prefix: Optional[str] = None, + aggregation: Optional[str] = None, + upstream_name: Optional[str] = None, + upstream_version: Optional[str] = None, + session: AsyncSession = Depends(get_session), +) -> list[FrozenMeasureOutput]: + """ + List all frozen measures, with optional filters: + - prefix: only measures whose names start with this prefix + - aggregation: filter by aggregation type (e.g., SUM, COUNT) + - upstream_name: filter by the upstream node revision's name + - upstream_version: filter by the upstream node revision's version + """ + return await FrozenMeasure.find_by( + session, + prefix=prefix, + aggregation=aggregation, + upstream_name=upstream_name, + upstream_version=upstream_version, + ) diff --git a/datajunction-server/datajunction_server/api/metrics.py b/datajunction-server/datajunction_server/api/metrics.py new file mode 100644 index 000000000..2fd435271 --- /dev/null +++ b/datajunction-server/datajunction_server/api/metrics.py @@ -0,0 +1,156 @@ +""" +Metric related APIs. +""" + +from http import HTTPStatus +from typing import List, Optional + +from fastapi import BackgroundTasks, Depends, HTTPException, Query +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload +from sqlalchemy.sql.operators import is_ + +from datajunction_server.api.nodes import list_nodes +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.errors import DJError, DJInvalidInputException, ErrorCode +from datajunction_server.internal.caching.cachelib_cache import get_cache +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + get_access_checker, +) +from datajunction_server.models.metric import Metric +from datajunction_server.models.node import ( + DimensionAttributeOutput, + MetricDirection, + MetricMetadataOptions, + MetricUnit, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.dag import get_dimensions, get_shared_dimensions +from datajunction_server.utils import ( + get_session, + get_settings, +) + +settings = get_settings() +router = SecureAPIRouter(tags=["metrics"]) + + +async def get_metric(session: AsyncSession, name: str) -> Node: + """ + Return a metric node given a node name. + """ + node = await Node.get_by_name( + session, + name, + options=[ + selectinload(Node.current).options( + *NodeRevision.default_load_options(), + selectinload(NodeRevision.required_dimensions), + ), + ], + raise_if_not_exists=True, + ) + if node.type != NodeType.METRIC: # type: ignore + raise HTTPException( + status_code=HTTPStatus.BAD_REQUEST, + detail=f"Not a metric node: `{name}`", + ) + return node # type: ignore + + +@router.get("/metrics/", response_model=List[str]) +async def list_metrics( + prefix: Optional[str] = None, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), + cache: Cache = Depends(get_cache), + background_tasks: BackgroundTasks, +) -> List[str]: + """ + List all available metrics. + """ + metrics = cache.get("metrics") + if metrics is None: + metrics = await list_nodes( + node_type=NodeType.METRIC, + prefix=prefix, + session=session, + access_checker=access_checker, + ) + background_tasks.add_task(cache.set, "metrics", metrics) + return metrics + + +@router.get("/metrics/metadata") +async def list_metric_metadata() -> MetricMetadataOptions: + """ + Return available metric metadata attributes + """ + return_obj = MetricMetadataOptions( + directions=[MetricDirection(e) for e in MetricDirection], + units=[MetricUnit(e).value for e in MetricUnit], + ) + return return_obj + + +@router.get("/metrics/{name}/", response_model=Metric) +async def get_a_metric( + name: str, + *, + session: AsyncSession = Depends(get_session), +) -> Metric: + """ + Return a metric by name. + """ + node = await get_metric(session, name) + # get_dimensions handles derived metrics by finding ultimate non-metric parents + dims = await get_dimensions(session, node) + metric = await Metric.parse_node(node, dims, session) + return metric + + +@router.get( + "/metrics/common/dimensions/", + response_model=List[DimensionAttributeOutput], +) +async def get_common_dimensions( + metric: List[str] = Query( + title="List of metrics to find common dimensions for", + default=[], + ), + session: AsyncSession = Depends(get_session), +) -> List[DimensionAttributeOutput]: + """ + Return common dimensions for a set of metrics. + """ + input_errors = [] + statement = ( + select(Node) + .where(Node.name.in_(metric)) # type: ignore + .where(is_(Node.deactivated_at, None)) + ) + metric_nodes = (await session.execute(statement)).scalars().all() + for node in metric_nodes: + if node.type != NodeType.METRIC: + input_errors.append( + DJError( + message=f"Not a metric node: {node.name}", + code=ErrorCode.NODE_TYPE_ERROR, + ), + ) + if not metric_nodes: + input_errors.append( + DJError( + message=f"Metric nodes not found: {','.join(metric)}", + code=ErrorCode.UNKNOWN_NODE, + ), + ) + + if input_errors: + raise DJInvalidInputException(errors=input_errors) + return await get_shared_dimensions(session, metric_nodes) diff --git a/datajunction-server/datajunction_server/api/namespaces.py b/datajunction-server/datajunction_server/api/namespaces.py new file mode 100644 index 000000000..8624a4805 --- /dev/null +++ b/datajunction-server/datajunction_server/api/namespaces.py @@ -0,0 +1,577 @@ +""" +Node namespace related APIs. +""" + +import io +import logging +import zipfile +from http import HTTPStatus +from typing import Callable, Dict, List, Optional + +import yaml +from fastapi import Depends, Query, BackgroundTasks, Request +from fastapi.responses import JSONResponse, StreamingResponse +from sqlalchemy.ext.asyncio import AsyncSession +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.api.helpers import get_node_namespace, get_save_history +from datajunction_server.database.namespace import NodeNamespace +from datajunction_server.database.user import User +from datajunction_server.errors import DJAlreadyExistsException +from datajunction_server.models.access import ResourceAction +from datajunction_server.models.deployment import ( + BulkNamespaceSourcesRequest, + BulkNamespaceSourcesResponse, + DeploymentSpec, + NamespaceSourcesResponse, +) +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + get_access_checker, + AccessDenialMode, +) +from datajunction_server.internal.namespaces import ( + create_namespace, + get_nodes_in_namespace, + get_nodes_in_namespace_detailed, + get_project_config, + hard_delete_namespace, + mark_namespace_deactivated, + mark_namespace_restored, + get_sources_for_namespace, + get_sources_for_namespaces_bulk, + get_node_specs_for_export, + _get_yaml_dumper, + _node_spec_to_yaml_dict, +) +from datajunction_server.internal.nodes import activate_node, deactivate_node +from datajunction_server.models import access +from datajunction_server.models.node import NamespaceOutput, NodeMinimumDetail +from datajunction_server.models.node_type import NodeType +from datajunction_server.utils import ( + get_current_user, + get_query_service_client, + get_session, + get_settings, +) + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["namespaces"]) + + +@router.post("/namespaces/{namespace}/", status_code=HTTPStatus.CREATED) +async def create_node_namespace( + namespace: str, + include_parents: Optional[bool] = False, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + *, + save_history: Callable = Depends(get_save_history), +) -> JSONResponse: + """ + Create a node namespace + """ + if node_namespace := await NodeNamespace.get( + session, + namespace, + raise_if_not_exists=False, + ): # pragma: no cover + if node_namespace.deactivated_at: + node_namespace.deactivated_at = None + session.add(node_namespace) + await session.commit() + return JSONResponse( + status_code=HTTPStatus.CREATED, + content={ + "message": ( + "The following node namespace has been successfully reactivated: " + + namespace + ), + }, + ) + return JSONResponse( + status_code=409, + content={ + "message": f"Node namespace `{namespace}` already exists", + }, + ) + created_namespaces = await create_namespace( + session=session, + namespace=namespace, + include_parents=include_parents, # type: ignore + current_user=current_user, + save_history=save_history, + ) + return JSONResponse( + status_code=HTTPStatus.CREATED, + content={ + "message": ( + "The following node namespaces have been successfully created: " + + ", ".join(created_namespaces) + ), + }, + ) + + +@router.get( + "/namespaces/", + response_model=List[NamespaceOutput], + status_code=200, +) +async def list_namespaces( + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[NamespaceOutput]: + """ + List namespaces with the number of nodes contained in them + """ + results = await NodeNamespace.get_all_with_node_count(session) + access_checker.add_namespaces( + [record.namespace for record in results], + access.ResourceAction.READ, + ) + approved_namespaces = await access_checker.approved_resource_names() + return [ + NamespaceOutput(namespace=record.namespace, num_nodes=record.num_nodes) + for record in results + if record.namespace in approved_namespaces + ] + + +@router.get( + "/namespaces/{namespace}/", + response_model=List[NodeMinimumDetail], + status_code=HTTPStatus.OK, +) +async def list_nodes_in_namespace( + namespace: str, + type_: Optional[NodeType] = Query( + default=None, + description="Filter the list of nodes to this type", + ), + with_edited_by: bool = Query( + default=False, + description="Whether to include a list of users who edited each node", + ), + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[NodeMinimumDetail]: + """ + List node names in namespace, filterable to a given type if desired. + """ + # Check that the user has namespace-level READ access + access_checker.add_namespace(namespace, access.ResourceAction.READ) + namespace_decisions = await access_checker.check( + on_denied=AccessDenialMode.FILTER, + ) + if not namespace_decisions: + # User has no access to this namespace at all + return [] # pragma: no cover + + # Get all nodes in namespace + nodes = await NodeNamespace.list_nodes( + session, + namespace, + type_, + with_edited_by=with_edited_by, + ) + + # Filter to nodes the user has READ access to + access_checker.add_nodes(nodes=nodes, action=access.ResourceAction.READ) + node_decisions = await access_checker.check(on_denied=AccessDenialMode.RETURN) + approved_names = { + decision.request.access_object.name + for decision in node_decisions + if decision.approved + } + return [node for node in nodes if node.name in approved_names] + + +@router.delete("/namespaces/{namespace}/", status_code=HTTPStatus.OK) +async def deactivate_a_namespace( + namespace: str, + cascade: bool = Query( + default=False, + description="Cascade the deletion down to the nodes in the namespace", + ), + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + query_service_client: QueryServiceClient = Depends(get_query_service_client), + background_tasks: BackgroundTasks, + request: Request, + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Deactivates a node namespace + """ + access_checker.add_namespace(namespace, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node_namespace = await NodeNamespace.get( + session, + namespace, + raise_if_not_exists=True, + ) + + if node_namespace.deactivated_at: # type: ignore + raise DJAlreadyExistsException( + message=f"Namespace `{namespace}` is already deactivated.", + ) + + # If there are no active nodes in the namespace, we can safely deactivate this namespace + node_list = await NodeNamespace.list_nodes(session, namespace) + node_names = [node.name for node in node_list] + if len(node_names) == 0: + message = f"Namespace `{namespace}` has been deactivated." + await mark_namespace_deactivated( + session=session, + namespace=node_namespace, # type: ignore + message=message, + current_user=current_user, + save_history=save_history, + ) + return JSONResponse( + status_code=HTTPStatus.OK, + content={"message": message}, + ) + + # If cascade=true is set, we'll deactivate all nodes in this namespace and then + # subsequently deactivate this namespace + if cascade: + for node_name in node_names: + await deactivate_node( + session=session, + name=node_name, + message=f"Cascaded from deactivating namespace `{namespace}`", + current_user=current_user, + save_history=save_history, + query_service_client=query_service_client, + background_tasks=background_tasks, + request_headers=dict(request.headers), + ) + message = ( + f"Namespace `{namespace}` has been deactivated. The following nodes" + f" have also been deactivated: {','.join(node_names)}" + ) + await mark_namespace_deactivated( + session=session, + namespace=node_namespace, # type: ignore + message=message, + current_user=current_user, + save_history=save_history, + ) + + return JSONResponse( + status_code=HTTPStatus.OK, + content={ + "message": message, + }, + ) + + return JSONResponse( + status_code=405, + content={ + "message": f"Cannot deactivate node namespace `{namespace}` as there are " + "still active nodes under that namespace.", + }, + ) + + +@router.post("/namespaces/{namespace}/restore/", status_code=HTTPStatus.CREATED) +async def restore_a_namespace( + namespace: str, + cascade: bool = Query( + default=False, + description="Cascade the restore down to the nodes in the namespace", + ), + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Restores a node namespace + """ + access_checker.add_namespace(namespace, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node_namespace = await get_node_namespace( + session=session, + namespace=namespace, + raise_if_not_exists=True, + ) + if not node_namespace.deactivated_at: + raise DJAlreadyExistsException( + message=f"Node namespace `{namespace}` already exists and is active.", + ) + + node_list = await get_nodes_in_namespace( + session, + namespace, + include_deactivated=True, + ) + node_names = [node.name for node in node_list] + # If cascade=true is set, we'll restore all nodes in this namespace and then + # subsequently restore this namespace + if cascade: + for node_name in node_names: + await activate_node( + name=node_name, + session=session, + message=f"Cascaded from restoring namespace `{namespace}`", + current_user=current_user, + save_history=save_history, + ) + + message = ( + f"Namespace `{namespace}` has been restored. The following nodes" + f" have also been restored: {','.join(node_names)}" + ) + await mark_namespace_restored( + session=session, + namespace=node_namespace, + message=message, + current_user=current_user, + save_history=save_history, + ) + + return JSONResponse( + status_code=HTTPStatus.CREATED, + content={ + "message": message, + }, + ) + + # Otherwise just restore this namespace + message = f"Namespace `{namespace}` has been restored." + await mark_namespace_restored( + session=session, + namespace=node_namespace, + message=message, + current_user=current_user, + save_history=save_history, + ) + return JSONResponse( + status_code=HTTPStatus.CREATED, + content={"message": message}, + ) + + +@router.delete("/namespaces/{namespace}/hard/", name="Hard Delete a DJ Namespace") +async def hard_delete_node_namespace( + namespace: str, + *, + cascade: bool = False, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Hard delete a namespace, which will completely remove the namespace. Additionally, + if any nodes are saved under this namespace, we'll hard delete the nodes if cascade + is set to true. If cascade is set to false, we'll raise an error. This should be used + with caution, as the impact may be large. + """ + access_checker.add_namespace(namespace, ResourceAction.DELETE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + impacts = await hard_delete_namespace( + session=session, + namespace=namespace, + cascade=cascade, + current_user=current_user, + save_history=save_history, + ) + return JSONResponse( + status_code=HTTPStatus.OK, + content={ + "message": f"The namespace `{namespace}` has been completely removed.", + "impact": impacts.model_dump(), + }, + ) + + +@router.get( + "/namespaces/{namespace}/export/", + name="Export a namespace as a single project's metadata", +) +async def export_a_namespace( + namespace: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[Dict]: + """ + Generates a zip of YAML files for the contents of the given namespace + as well as a project definition file. + """ + access_checker.add_namespace(namespace, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + return await get_project_config( + session=session, + nodes=await get_nodes_in_namespace_detailed(session, namespace), + namespace_requested=namespace, + ) + + +@router.get( + "/namespaces/{namespace}/export/spec", + name="Export namespace as a deployment specification", + response_model_exclude_none=True, +) +async def export_namespace_spec( + namespace: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> DeploymentSpec: + """ + Generates a deployment spec for a namespace + """ + access_checker.add_namespace(namespace, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node_specs = await get_node_specs_for_export(session, namespace) + return DeploymentSpec( + namespace=namespace, + nodes=node_specs, + ) + + +@router.get( + "/namespaces/{namespace}/export/yaml", + name="Export namespace as downloadable YAML ZIP", + response_class=StreamingResponse, +) +async def export_namespace_yaml( + namespace: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> StreamingResponse: + """ + Export a namespace as a downloadable ZIP file containing YAML files. + + The ZIP structure matches the expected layout for `dj push`: + - dj.yaml (project manifest) + - /.yaml (one file per node) + + This makes it easy to start managing nodes via Git/CI-CD. + """ + access_checker.add_namespace(namespace, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + # Get node specs with ${prefix} injection applied + node_specs = await get_node_specs_for_export(session, namespace) + + # Create ZIP in memory + zip_buffer = io.BytesIO() + with zipfile.ZipFile(zip_buffer, "w", zipfile.ZIP_DEFLATED) as zf: + # Add dj.yaml project manifest + project_manifest = { + "name": f"Project {namespace} (Exported)", + "description": f"Exported project for namespace {namespace}", + "namespace": namespace, + } + # Get custom dumper for clean multiline strings + yaml_dumper = _get_yaml_dumper() + + zf.writestr( + "dj.yaml", + yaml.dump( + project_manifest, + Dumper=yaml_dumper, + sort_keys=False, + default_flow_style=False, + ), + ) + + # Add each node as a YAML file + for node_spec in node_specs: + # Convert name to file path: foo.bar.baz -> foo/bar/baz.yaml + node_name = node_spec.name.replace("${prefix}", "").lstrip(".") + parts = node_name.split(".") + file_path = "/".join(parts) + ".yaml" + + # Convert to YAML-friendly dict + node_dict = _node_spec_to_yaml_dict(node_spec) + + zf.writestr( + file_path, + yaml.dump( + node_dict, + Dumper=yaml_dumper, + sort_keys=False, + default_flow_style=False, + ), + ) + + zip_buffer.seek(0) + + # Return as downloadable ZIP + safe_namespace = namespace.replace(".", "_") + return StreamingResponse( + zip_buffer, + media_type="application/zip", + headers={ + "Content-Disposition": f'attachment; filename="{safe_namespace}_export.zip"', + }, + ) + + +@router.get( + "/namespaces/{namespace}/sources", + response_model=NamespaceSourcesResponse, + name="Get deployment sources for a namespace", +) +async def get_namespace_sources( + namespace: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> NamespaceSourcesResponse: + """ + Get all deployment sources that have deployed to this namespace. + + This helps teams understand: + - Whether a namespace is managed by CI/CD + - Which repositories have deployed to this namespace + - If there are multiple sources (potential conflict indicator) + """ + access_checker.add_namespace(namespace, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + return await get_sources_for_namespace(session, namespace) + + +@router.post( + "/namespaces/sources/bulk", + response_model=BulkNamespaceSourcesResponse, + name="Get deployment sources for multiple namespaces", +) +async def get_bulk_namespace_sources( + request: BulkNamespaceSourcesRequest, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> BulkNamespaceSourcesResponse: + """ + Get deployment sources for multiple namespaces in a single request. + + This is useful for displaying CI/CD badges in the UI for all visible namespaces. + Returns a map of namespace name -> source info for each requested namespace. + """ + # Add access checks for all requested namespaces + for namespace in request.namespaces: + access_checker.add_namespace(namespace, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + # Fetch sources for all namespaces in optimized bulk query + sources = await get_sources_for_namespaces_bulk(session, request.namespaces) + + return BulkNamespaceSourcesResponse(sources=sources) diff --git a/datajunction-server/datajunction_server/api/nodes.py b/datajunction-server/datajunction_server/api/nodes.py new file mode 100644 index 000000000..343867416 --- /dev/null +++ b/datajunction-server/datajunction_server/api/nodes.py @@ -0,0 +1,1565 @@ +""" +Node related APIs. +""" + +import logging +import os +from http import HTTPStatus +from typing import Callable, List, Optional, cast + +from fastapi import BackgroundTasks, Depends, Query, Response +from fastapi.responses import JSONResponse +from fastapi_cache.decorator import cache +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload +from sqlalchemy.sql.operators import is_ +from starlette.requests import Request + + +from datajunction_server.api.helpers import ( + get_catalog_by_name, + get_column, + get_node_by_name, + get_node_namespace, + raise_if_node_exists, + get_save_history, +) +from datajunction_server.api.namespaces import create_node_namespace +from datajunction_server.api.tags import get_tags_by_name +from datajunction_server.database.attributetype import ColumnAttribute +from datajunction_server.database.column import Column +from datajunction_server.database.history import History +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.partition import Partition +from datajunction_server.database.user import User +from datajunction_server.internal.caching.cachelib_cache import get_cache +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.errors import ( + DJAlreadyExistsException, + DJConfigurationException, + DJInvalidInputException, + ErrorCode, +) +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.access.authorization import ( + AccessChecker, + get_access_checker, + AccessDenialMode, +) +from datajunction_server.models.access import ResourceAction +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.internal.nodes import ( + activate_node, + create_a_cube, + create_a_source_node, + upsert_reference_dimension_link, + upsert_simple_dimension_link, + copy_to_new_node, + create_a_node, + deactivate_node, + get_column_level_lineage, + get_node_column, + hard_delete_node, + refresh_source, + remove_dimension_link, + revalidate_node, + set_node_column_attributes, + update_any_node, + upsert_complex_dimension_link, +) +from datajunction_server.internal.validation import validate_node_data +from datajunction_server.models import access +from datajunction_server.models.attribute import ( + AttributeTypeIdentifier, +) +from datajunction_server.models.dimensionlink import ( + JoinLinkInput, + LinkDimensionIdentifier, +) +from datajunction_server.models.node import ( + ColumnOutput, + CreateCubeNode, + CreateNode, + CreateSourceNode, + DAGNodeOutput, + DimensionAttributeOutput, + LineageColumn, + NodeIndexItem, + NodeMode, + NodeOutput, + NodeRevisionBase, + NodeRevisionOutput, + NodeStatusDetails, + NodeValidation, + NodeValidationError, + SourceColumnOutput, + UpdateNode, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import ( + Granularity, + PartitionInput, + PartitionType, +) +from datajunction_server.models.query import QueryCreate +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.dag import ( + _node_output_options, + get_dimensions, + get_dimension_attributes, + get_downstream_nodes, + get_filter_only_dimensions, + get_upstream_nodes, +) +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.utils import ( + get_current_user, + get_query_service_client, + get_session, + get_settings, +) + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["nodes"]) + + +@router.post("/nodes/validate/", response_model=NodeValidation) +async def validate_node( + data: NodeRevisionBase, + response: Response, + session: AsyncSession = Depends(get_session), +) -> NodeValidation: + """ + Determines whether the provided node is valid and returns metadata from node validation. + """ + + if data.type == NodeType.SOURCE: + raise DJInvalidInputException(message="Source nodes cannot be validated") + + node_validator = await validate_node_data(data, session) + if node_validator.errors: + response.status_code = HTTPStatus.UNPROCESSABLE_ENTITY + else: + response.status_code = HTTPStatus.OK + + return NodeValidation( + message=f"Node `{data.name}` is {node_validator.status}.", + status=node_validator.status, + columns=node_validator.columns, + dependencies=set(node_validator.dependencies_map.keys()), + errors=node_validator.errors, + missing_parents=list(node_validator.missing_parents_map.keys()), + ) + + +@router.post("/nodes/{name}/validate/", response_model=NodeStatusDetails) +async def revalidate( + name: str, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + *, + background_tasks: BackgroundTasks, + access_checker: AccessChecker = Depends(get_access_checker), +) -> NodeStatusDetails: + """ + Revalidate a single existing node and update its status appropriately + """ + access_checker.add_request_by_node_name(name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node_validator = await revalidate_node( + name=name, + session=session, + current_user=current_user, + background_tasks=background_tasks, + save_history=save_history, + ) + + return NodeStatusDetails( + status=node_validator.status, + errors=[ + *[ + NodeValidationError( + type=ErrorCode.TYPE_INFERENCE.name, + message=failure, + ) + for failure in node_validator.type_inference_failures + ], + *[ + NodeValidationError( + type=( + ErrorCode.TYPE_INFERENCE.name + if "Unable to infer type" in error.message + else error.code.name + ), + message=error.message, + ) + for error in node_validator.errors + ], + ], + ) + + +@router.post( + "/nodes/{node_name}/columns/{column_name}/attributes/", + response_model=List[ColumnOutput], + status_code=201, +) +async def set_column_attributes( + node_name: str, + column_name: str, + attributes: List[AttributeTypeIdentifier], + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[ColumnOutput]: + """ + Set column attributes for the node. + """ + access_checker.add_request_by_node_name(node_name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options(*NodeRevision.default_load_options()), + ], + ) + columns = await set_node_column_attributes( + session, + node, # type: ignore + column_name, + attributes, + current_user=current_user, + save_history=save_history, + ) + return columns # type: ignore + + +@router.get("/nodes/", response_model=List[str]) +async def list_nodes( + node_type: Optional[NodeType] = None, + prefix: Optional[str] = None, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[str]: + """ + List the available nodes. + """ + nodes = await Node.find(session, prefix, node_type) # type: ignore + access_checker.add_nodes(nodes, access.ResourceAction.READ) + return await access_checker.approved_resource_names() + + +@router.get("/nodes/details/", response_model=List[NodeIndexItem]) +@cache(expire=settings.index_cache_expire) +async def list_all_nodes_with_details( + node_type: Optional[NodeType] = None, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[NodeIndexItem]: + """ + List the available nodes. + """ + nodes_query = ( + select( + NodeRevision.name, + NodeRevision.display_name, + NodeRevision.description, + NodeRevision.type, + ) + .where( + Node.current_version == NodeRevision.version, + Node.name == NodeRevision.name, + Node.type == node_type if node_type else True, + is_(Node.deactivated_at, None), + ) + .order_by(NodeRevision.updated_at.desc()) + .limit(settings.node_list_max) + ) # Very high limit as a safeguard + results = [ + NodeIndexItem(name=row[0], display_name=row[1], description=row[2], type=row[3]) + for row in (await session.execute(nodes_query)).all() + ] + if len(results) == settings.node_list_max: # pragma: no cover + _logger.warning( + "%s limit reached when returning all nodes, all nodes may not be captured in results", + settings.node_list_max, + ) + access_checker.add_requests( + [ + access.ResourceRequest( + verb=access.ResourceAction.READ, + access_object=access.Resource( + name=row.name, + resource_type=access.ResourceType.NODE, + ), + ) + for row in results + ], + ) + approvals = await access_checker.approved_resource_names() + return [row for row in results if row.name in approvals] + + +@router.get("/nodes/{name}/", response_model=NodeOutput) +async def get_node( + name: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> NodeOutput: + """ + Show the active version of the specified node. + """ + access_checker.add_request_by_node_name(name, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name( + session, + name, + options=NodeOutput.load_options(), + raise_if_not_exists=True, + ) + return NodeOutput.model_validate(node) + + +@router.delete("/nodes/{name}/") +async def delete_node( + name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + query_service_client: QueryServiceClient = Depends(get_query_service_client), + background_tasks: BackgroundTasks, + request: Request, + access_checker: AccessChecker = Depends(get_access_checker), +): + """ + Delete (aka deactivate) the specified node. + """ + access_checker.add_request_by_node_name(name, ResourceAction.DELETE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + await deactivate_node( + session=session, + name=name, + current_user=current_user, + save_history=save_history, + query_service_client=query_service_client, + background_tasks=background_tasks, + request_headers=dict(request.headers), + ) + return JSONResponse( + status_code=HTTPStatus.OK, + content={"message": f"Node `{name}` has been successfully deleted."}, + ) + + +@router.delete("/nodes/{name}/hard/", name="Hard Delete a DJ Node") +async def hard_delete( + name: str, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Hard delete a node, destroying all links and invalidating all downstream nodes. + This should be used with caution, deactivating a node is preferred. + """ + access_checker.add_request_by_node_name(name, ResourceAction.DELETE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + impact = await hard_delete_node( + name=name, + session=session, + current_user=current_user, + save_history=save_history, + ) + return JSONResponse( + status_code=HTTPStatus.OK, + content={ + "message": f"The node `{name}` has been completely removed.", + "impact": impact, + }, + ) + + +@router.post("/nodes/{name}/restore/") +async def restore_node( + name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +): + """ + Restore (aka re-activate) the specified node. + """ + access_checker.add_request_by_node_name(name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + await activate_node( + session=session, + name=name, + current_user=current_user, + save_history=save_history, + ) + return JSONResponse( + status_code=HTTPStatus.OK, + content={"message": f"Node `{name}` has been successfully restored."}, + ) + + +@router.get("/nodes/{name}/revisions/", response_model=List[NodeRevisionOutput]) +async def list_node_revisions( + name: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[NodeRevisionOutput]: + """ + List all revisions for the node. + """ + access_checker.add_request_by_node_name(name, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name( + session, + name, + options=[ + joinedload(Node.revisions).options(*NodeRevision.default_load_options()), + ], + raise_if_not_exists=True, + ) + return node.revisions # type: ignore + + +@router.post("/nodes/source/", response_model=NodeOutput, name="Create A Source Node") +async def create_source( + data: CreateSourceNode, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + access_checker: AccessChecker = Depends(get_access_checker), + background_tasks: BackgroundTasks, + save_history: Callable = Depends(get_save_history), +) -> NodeOutput: + """ + Create a source node. If columns are not provided, the source node's schema + will be inferred using the configured query service. + """ + namespace = data.namespace or data.name.rsplit(".", 1)[0] + access_checker.add_namespace(namespace, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + return await create_a_source_node( + data=data, + request=request, + session=session, + current_user=current_user, + query_service_client=query_service_client, + access_checker=access_checker, + background_tasks=background_tasks, + save_history=save_history, + ) + + +@router.post( + "/nodes/transform/", + response_model=NodeOutput, + status_code=201, + name="Create A Transform Node", +) +@router.post( + "/nodes/dimension/", + response_model=NodeOutput, + status_code=201, + name="Create A Dimension Node", +) +@router.post( + "/nodes/metric/", + response_model=NodeOutput, + status_code=201, + name="Create A Metric Node", +) +async def create_node( + data: CreateNode, + request: Request, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + query_service_client: QueryServiceClient = Depends(get_query_service_client), + background_tasks: BackgroundTasks, + access_checker: AccessChecker = Depends(get_access_checker), + save_history: Callable = Depends(get_save_history), + cache: Cache = Depends(get_cache), +) -> NodeOutput: + """ + Create a node. + """ + node_type = NodeType(os.path.basename(os.path.normpath(request.url.path))) + + namespace = data.namespace or data.name.rsplit(".", 1)[0] + access_checker.add_namespace(namespace, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + return await create_a_node( + data=data, + request=request, + node_type=node_type, + session=session, + current_user=current_user, + query_service_client=query_service_client, + background_tasks=background_tasks, + access_checker=access_checker, + save_history=save_history, + cache=cache, + ) + + +@router.post( + "/nodes/cube/", + response_model=NodeOutput, + status_code=201, + name="Create A Cube", +) +async def create_cube( + data: CreateCubeNode, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + background_tasks: BackgroundTasks, + access_checker: AccessChecker = Depends(get_access_checker), + save_history: Callable = Depends(get_save_history), +) -> NodeOutput: + """ + Create a cube node. + """ + # Check WRITE access on the namespace for creating the cube + namespace = data.namespace or data.name.rsplit(".", 1)[0] + access_checker.add_namespace(namespace, ResourceAction.WRITE) + + # Check READ access on all metrics and dimensions being included in the cube + if data.metrics: + for metric_name in data.metrics: + access_checker.add_request_by_node_name(metric_name, ResourceAction.READ) + if data.dimensions: + for dim_attr in data.dimensions: + # Dimension attributes are in format "node_name.column_name" + dim_node_name = dim_attr.rsplit(".", 1)[0] + access_checker.add_request_by_node_name(dim_node_name, ResourceAction.READ) + + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await create_a_cube( + data=data, + request=request, + session=session, + current_user=current_user, + query_service_client=query_service_client, + background_tasks=background_tasks, + access_checker=access_checker, + save_history=save_history, + ) + + return await Node.get_by_name( # type: ignore + session, + node.name, + options=NodeOutput.load_options(), + ) + + +@router.post( + "/register/table/{catalog}/{schema_}/{table}/", + response_model=NodeOutput, + status_code=201, +) +async def register_table( + catalog: str, + schema_: str, + table: str, + source_node_namespace: str | None = None, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + background_tasks: BackgroundTasks, + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> NodeOutput: + """ + Register a table. This creates a source node in the SOURCE_NODE_NAMESPACE and + the source node's schema will be inferred using the configured query service. + """ + request_headers = dict(request.headers) + if not query_service_client: + raise DJConfigurationException( + message="Registering tables or views requires that a query " + "service is configured for columns inference", + ) + prefix = ( + source_node_namespace + if source_node_namespace is not None + else settings.source_node_namespace + ) + namespace = f"{(prefix or '') + ('.' if prefix else '')}{catalog}.{schema_}" + name = f"{namespace}.{table}" + await raise_if_node_exists(session, name) + + # Create the namespace if required (idempotent) + await create_node_namespace( + namespace=namespace, + session=session, + current_user=current_user, + save_history=save_history, + ) + access_checker.add_namespace(namespace, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + # Use reflection to get column names and types + _catalog = await get_catalog_by_name(session=session, name=catalog) + columns = query_service_client.get_columns_for_table( + _catalog.name, + schema_, + table, + request_headers, + _catalog.engines[0] if len(_catalog.engines) >= 1 else None, + ) + return await create_source( + data=CreateSourceNode( + catalog=catalog, + schema_=schema_, + table=table, + name=name, + display_name=name, + columns=[SourceColumnOutput.model_validate(col) for col in columns], + description="This source node was automatically created as a registered table.", + mode=NodeMode.PUBLISHED, + ), + session=session, + current_user=current_user, + background_tasks=background_tasks, + save_history=save_history, + request=request, + access_checker=access_checker, + ) + + +@router.post( + "/register/view/{catalog}/{schema_}/{view}/", + response_model=NodeOutput, + status_code=201, +) +async def register_view( + catalog: str, + schema_: str, + view: str, + query: str, + replace: bool = False, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + background_tasks: BackgroundTasks, + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> NodeOutput: + """ + Register a view by creating the view in the database and adding a source node for it. + The source node is created in the SOURCE_NODE_NAMESPACE and + its schema will be inferred using the configured query service. + """ + request_headers = dict(request.headers) + if not query_service_client: + raise DJConfigurationException( + message="Registering tables or views requires that a query " + "service is configured for columns inference", + ) + namespace = f"{settings.source_node_namespace}.{catalog}.{schema_}" + node_name = f"{namespace}.{view}" + view_name = f"{schema_}.{view}" + await raise_if_node_exists(session, node_name) + + access_checker.add_namespace(namespace, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + # Re-create the view in the database + _catalog = await get_catalog_by_name(session=session, name=catalog) + or_replace = "OR REPLACE" if replace else "" + query = f"CREATE {or_replace} VIEW {view_name} AS {query}" + query_create = QueryCreate( + engine_name=_catalog.engines[0].name, + catalog_name=_catalog.name, + engine_version=_catalog.engines[0].version, + submitted_query=query, + async_=False, + ) + query_service_client.create_view( + view_name, + query_create, + request_headers, + ) + + # Use reflection to get column names and types + columns = query_service_client.get_columns_for_table( + _catalog.name, + schema_, + view, + request_headers, + _catalog.engines[0] if len(_catalog.engines) >= 1 else None, + ) + + # Create the namespace if required (idempotent) + await create_node_namespace( + namespace=namespace, + session=session, + current_user=current_user, + save_history=save_history, + ) + + return await create_source( + data=CreateSourceNode( + catalog=catalog, + schema_=schema_, + table=view, + name=node_name, + display_name=node_name, + columns=[ColumnOutput.model_validate(col) for col in columns], + description="This source node was automatically created as a registered view.", + mode=NodeMode.PUBLISHED, + query=query, + ), + session=session, + current_user=current_user, + background_tasks=background_tasks, + save_history=save_history, + request=request, + access_checker=access_checker, + ) + + +@router.post("/nodes/{name}/columns/{column}/", status_code=201) +async def link_dimension( + name: str, + column: str, + dimension: str, + dimension_column: Optional[str] = None, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Add a simple dimension link from a node column to a dimension node. + 1. If a specific `dimension_column` is provided, it will be used as join column for the link. + 2. If no `dimension_column` is provided, the primary key column of the dimension node will + be used as the join column for the link. + """ + access_checker.add_request_by_node_name(name, ResourceAction.WRITE) + access_checker.add_request_by_node_name(dimension, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + activity_type = await upsert_simple_dimension_link( + session, + name, + dimension, + column, + dimension_column, + current_user, + save_history, + ) + return JSONResponse( + status_code=201, + content={ + "message": ( + f"Dimension node {dimension} has been successfully " + f"linked to node {name} using column {column}." + ) + if activity_type == ActivityType.CREATE + else ( + f"The dimension link between {name} and {dimension} " + "has been successfully updated." + ), + }, + ) + + +@router.post("/nodes/{node_name}/columns/{node_column}/link", status_code=201) +async def add_reference_dimension_link( + node_name: str, + node_column: str, + dimension_node: str, + dimension_column: str, + role: Optional[str] = None, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Add reference dimension link to a node column + """ + access_checker.add_request_by_node_name(node_name, ResourceAction.WRITE) + access_checker.add_request_by_node_name(dimension_node, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + await upsert_reference_dimension_link( + session=session, + node_name=node_name, + node_column=node_column, + dimension_node=dimension_node, + dimension_column=dimension_column, + role=role, + current_user=current_user, + save_history=save_history, + ) + return JSONResponse( + status_code=201, + content={ + "message": ( + f"{node_name}.{node_column} has been successfully " + f"linked to {dimension_node}.{dimension_column}" + ), + }, + ) + + +@router.delete("/nodes/{node_name}/columns/{node_column}/link", status_code=201) +async def remove_reference_dimension_link( + node_name: str, + node_column: str, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Remove reference dimension link from a node column + """ + access_checker.add_request_by_node_name(node_name, ResourceAction.DELETE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name(session, node_name, raise_if_not_exists=True) + target_column = await get_column(session, node.current, node_column) # type: ignore + if target_column.dimension_id or target_column.dimension_column: + target_column.dimension_id = None + target_column.dimension_column = None + session.add(target_column) + await save_history( + event=History( + entity_type=EntityType.LINK, + entity_name=node.name, # type: ignore + node=node.name, # type: ignore + activity_type=ActivityType.DELETE, + details={ + "node_name": node_name, # type: ignore + "node_column": node_column, + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + return JSONResponse( + status_code=200, + content={ + "message": ( + f"The reference dimension link on {node_name}.{node_column} has been removed." + ), + }, + ) + return JSONResponse( + status_code=200, + content={ + "message": ( + f"There is no reference dimension link on {node_name}.{node_column}." + ), + }, + ) + + +@router.post("/nodes/{node_name}/link/", status_code=201) +async def add_complex_dimension_link( + node_name: str, + link_input: JoinLinkInput, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Links a source, dimension, or transform node to a dimension with a custom join query. + If a link already exists, updates the link definition. + """ + access_checker.add_request_by_node_name(node_name, ResourceAction.WRITE) + access_checker.add_request_by_node_name( + link_input.dimension_node, + ResourceAction.READ, + ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + activity_type = await upsert_complex_dimension_link( + session, + node_name, + link_input, + current_user, + save_history, + ) + return JSONResponse( + status_code=201, + content={ + "message": ( + f"Dimension node {link_input.dimension_node} has been successfully " + f"linked to node {node_name}." + ) + if activity_type == ActivityType.CREATE + else ( + f"The dimension link between {node_name} and {link_input.dimension_node} " + "has been successfully updated." + ), + }, + ) + + +@router.delete("/nodes/{node_name}/link/", status_code=201) +async def remove_complex_dimension_link( + node_name: str, + link_identifier: LinkDimensionIdentifier, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Removes a complex dimension link based on the dimension node and its role (if any). + """ + access_checker.add_request_by_node_name(node_name, ResourceAction.WRITE) + access_checker.add_request_by_node_name( + link_identifier.dimension_node, + ResourceAction.READ, + ) + return await remove_dimension_link( + session, + node_name, + link_identifier, + current_user, + save_history, + ) + + +@router.delete("/nodes/{name}/columns/{column}/", status_code=201) +async def delete_dimension_link( + name: str, + column: str, + dimension: str, + dimension_column: Optional[str] = None, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Remove the link between a node column and a dimension node + """ + access_checker.add_request_by_node_name(name, ResourceAction.WRITE) + access_checker.add_request_by_node_name(dimension, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + return await remove_dimension_link( + session, + name, + LinkDimensionIdentifier(dimension_node=dimension, role=None), + current_user, + save_history, + ) + + +@router.post( + "/nodes/{name}/tags/", + status_code=200, + tags=["tags"], + name="Update Tags on Node", +) +async def tags_node( + name: str, + tag_names: Optional[List[str]] = Query(default=None), + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Add a tag to a node + """ + access_checker.add_request_by_node_name(name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name(session=session, name=name) + existing_tags = {tag.name for tag in node.tags} # type: ignore + if not tag_names: + tag_names = [] # pragma: no cover + if existing_tags != set(tag_names): + tags = await get_tags_by_name(session, names=tag_names) + node.tags = tags # type: ignore + session.add(node) + await save_history( + event=History( + entity_type=EntityType.NODE, + entity_name=node.name, # type: ignore + node=node.name, # type: ignore + activity_type=ActivityType.TAG, + details={ + "tags": tag_names, + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(node) + for tag in tags: + await session.refresh(tag) + + return JSONResponse( + status_code=200, + content={ + "message": ( + f"Node `{name}` has been successfully updated with " + f"the following tags: {', '.join(tag_names)}" + ), + }, + ) + + +@router.post( + "/nodes/{name}/refresh/", + response_model=NodeOutput, + status_code=201, +) +async def refresh_source_node( + name: str, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> NodeOutput: + """ + Refresh a source node with the latest columns from the query service. + """ + access_checker.add_request_by_node_name(name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + return await refresh_source( # type: ignore + name=name, + session=session, + request=request, + query_service_client=query_service_client, + current_user=current_user, + save_history=save_history, + ) + + +@router.patch("/nodes/{name}/", response_model=NodeOutput) +async def update_node( + name: str, + data: UpdateNode, + refresh_materialization: bool = False, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), + current_user: User = Depends(get_current_user), + background_tasks: BackgroundTasks, + access_checker: AccessChecker = Depends(get_access_checker), + save_history: Callable = Depends(get_save_history), + cache: Cache = Depends(get_cache), +) -> NodeOutput: + """ + Update a node. + """ + # Check WRITE access on the node being updated + access_checker.add_request_by_node_name(name, ResourceAction.WRITE) + + # For cube updates: check READ access on any metrics/dimensions being added + # (user must have access to read nodes they're including in the cube) + if data.metrics: + for metric_name in data.metrics: + access_checker.add_request_by_node_name(metric_name, ResourceAction.READ) + if data.dimensions: + for dim_attr in data.dimensions: + # Dimension attributes are in format "node_name.column_name" + dim_node_name = dim_attr.rsplit(".", 1)[0] + access_checker.add_request_by_node_name(dim_node_name, ResourceAction.READ) + + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + request_headers = dict(request.headers) + await update_any_node( + name, + data, + session=session, + query_service_client=query_service_client, + current_user=current_user, + background_tasks=background_tasks, + access_checker=access_checker, + request_headers=request_headers, + save_history=save_history, + refresh_materialization=refresh_materialization, + cache=cache, + ) + + node = await Node.get_by_name( + session, + name, + options=NodeOutput.load_options(), + ) + return node # type: ignore + + +@router.get("/nodes/similarity/{node1_name}/{node2_name}") +async def calculate_node_similarity( + node1_name: str, + node2_name: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> JSONResponse: + """ + Compare two nodes by how similar their queries are + """ + access_checker.add_request_by_node_name(node1_name, ResourceAction.READ) + access_checker.add_request_by_node_name(node2_name, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node1 = await Node.get_by_name( + session, + node1_name, + options=[joinedload(Node.current)], + raise_if_not_exists=True, + ) + node2 = await Node.get_by_name( + session, + node2_name, + options=[joinedload(Node.current)], + raise_if_not_exists=True, + ) + if NodeType.SOURCE in (node1.type, node2.type): # type: ignore + raise DJInvalidInputException( + message="Cannot determine similarity of source nodes", + http_status_code=HTTPStatus.CONFLICT, + ) + node1_ast = parse(node1.current.query) # type: ignore + node2_ast = parse(node2.current.query) # type: ignore + similarity = node1_ast.similarity_score(node2_ast) + return JSONResponse(status_code=200, content={"similarity": similarity}) + + +@router.get( + "/nodes/{name}/downstream/", + response_model=List[DAGNodeOutput], + name="List Downstream Nodes For A Node", +) +async def list_downstream_nodes( + name: str, + *, + node_type: NodeType = None, + depth: int = -1, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[DAGNodeOutput]: + """ + List all nodes that are downstream from the given node, filterable by type and max depth. + Setting a max depth of -1 will include all downstream nodes. + """ + access_checker.add_request_by_node_name(name, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + downstreams = await get_downstream_nodes( + session=session, + node_name=name, + node_type=node_type, + include_deactivated=False, + depth=depth, + ) + + for node in downstreams: + access_checker.add_request_by_node_name(node.name, ResourceAction.READ) + accessible = await access_checker.approved_resource_names() + return [node for node in downstreams if node.name in accessible] + + +@router.get( + "/nodes/{name}/upstream/", + response_model=List[DAGNodeOutput], + name="List Upstream Nodes For A Node", +) +async def list_upstream_nodes( + name: str, + *, + node_type: NodeType = None, + cache: Cache = Depends(get_cache), + background_tasks: BackgroundTasks, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[DAGNodeOutput]: + """ + List all nodes that are upstream from the given node, filterable by type. + """ + access_checker.add_request_by_node_name(name, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = cast(Node, await Node.get_by_name(session, name, raise_if_not_exists=True)) + upstream_cache_key = node.upstream_cache_key() + results = cache.get(upstream_cache_key) + if results is None: + results = await get_upstream_nodes(session, name, node_type) + background_tasks.add_task( + cache.set, + upstream_cache_key, + results, + timeout=settings.query_cache_timeout, + ) + + for node in results: + access_checker.add_request_by_node_name(node.name, ResourceAction.READ) + accessible = await access_checker.approved_resource_names() + return [node for node in results if node.name in accessible] + + +@router.get( + "/nodes/{name}/dag/", + name="List All Connected Nodes (Upstreams + Downstreams)", +) +async def list_node_dag( + name: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[DAGNodeOutput]: + """ + List all nodes that are part of the DAG of the given node. This means getting all upstreams, + downstreams, and linked dimension nodes. + """ + access_checker.add_request_by_node_name(name, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name( + session, + name, + options=_node_output_options(), + raise_if_not_exists=True, + ) + dimension_nodes = await get_dimensions( + session, + node.current.parents[0] if node.type == NodeType.METRIC else node, # type: ignore + with_attributes=False, + ) + if node.type == NodeType.METRIC: # type: ignore # pragma: no cover + dimension_nodes = dimension_nodes + node.current.parents # type: ignore + dimension_nodes += [node] # type: ignore + downstreams = await get_downstream_nodes( + session, + name, + include_deactivated=False, + include_cubes=False, + ) + upstreams = await get_upstream_nodes(session, name, include_deactivated=False) + dag_nodes = set(dimension_nodes + downstreams + upstreams) + return list(dag_nodes) + + +@router.get( + "/nodes/{name}/dimensions/", + response_model=List[DimensionAttributeOutput], + name="List All Dimension Attributes", +) +async def list_all_dimension_attributes( + name: str, + *, + depth: int = 30, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> list[DimensionAttributeOutput]: + """ + List all available dimension attributes for the given node. + """ + access_checker.add_request_by_node_name(name, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + dimensions = await get_dimension_attributes(session, name) + filter_only_dimensions = await get_filter_only_dimensions(session, name) + return dimensions + filter_only_dimensions + + +@router.get( + "/nodes/{name}/lineage/", + response_model=List[LineageColumn], + name="List column level lineage of node", +) +async def column_lineage( + name: str, + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> List[LineageColumn]: + """ + List column-level lineage of a node in a graph + """ + access_checker.add_request_by_node_name(name, ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name( + session, + name, + options=[ + selectinload(Node.current).options( + selectinload(NodeRevision.columns).options( + selectinload(Column.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + selectinload(Column.dimension), + selectinload(Column.partition), + ), + ), + ], + ) + if node.current.lineage: # type: ignore + return node.current.lineage # type: ignore # pragma: no cover + return await get_column_level_lineage(session, node.current) # type: ignore # pragma: no cover + + +@router.patch( + "/nodes/{node_name}/columns/{column_name}/", + response_model=ColumnOutput, + status_code=201, +) +async def set_column_display_name( + node_name: str, + column_name: str, + display_name: str, + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> ColumnOutput: + """ + Set column name for the node + """ + access_checker.add_request_by_node_name(node_name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name( + session, + node_name, + options=[joinedload(Node.current)], + ) + column = await get_column(session, node.current, column_name) # type: ignore + column.display_name = display_name + session.add(column) + await session.commit() + await save_history( + event=History( + entity_type=EntityType.COLUMN_ATTRIBUTE, + node=node.name, # type: ignore + activity_type=ActivityType.UPDATE, + details={ + "column": column.name, + "display_name": display_name, + }, + user=current_user.username, + ), + session=session, + ) + return column + + +@router.patch( + "/nodes/{node_name}/columns/{column_name}/description", + response_model=ColumnOutput, + status_code=201, +) +async def set_column_description( + node_name: str, + column_name: str, + description: str, + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + *, + session: AsyncSession = Depends(get_session), + access_checker: AccessChecker = Depends(get_access_checker), +) -> ColumnOutput: + """ + Set column description for the node + """ + access_checker.add_request_by_node_name(node_name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name( + session, + node_name, + options=[joinedload(Node.current)], + ) + column = await get_column(session, node.current, column_name) # type: ignore + column.description = description + session.add(column) + await session.commit() + await save_history( + event=History( + entity_type=EntityType.COLUMN_ATTRIBUTE, + node=node.name, # type: ignore + activity_type=ActivityType.UPDATE, + details={ + "column": column.name, + "description": description, + }, + user=current_user.username, + ), + session=session, + ) + return column + + +@router.post( + "/nodes/{node_name}/columns/{column_name}/partition", + response_model=ColumnOutput, + status_code=201, + name="Set Node Column as Partition", +) +async def set_column_partition( + node_name: str, + column_name: str, + input_partition: PartitionInput, + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> ColumnOutput: + """ + Add or update partition columns for the specified node. + """ + access_checker.add_request_by_node_name(node_name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options( + *NodeRevision.default_load_options(), + joinedload(NodeRevision.cube_elements), + ), + ], + ) + column = get_node_column(node, column_name) # type: ignore + upsert_partition_event = History( + entity_type=EntityType.PARTITION, + node=node_name, + activity_type=ActivityType.CREATE, + details={ + "column": column_name, + "partition": input_partition.model_dump(), + }, + user=current_user.username, + ) + + if input_partition.type_ == PartitionType.TEMPORAL: + if input_partition.granularity is None: + raise DJInvalidInputException( + message=f"The granularity must be provided for temporal partitions. " + f"One of: {[val.name for val in Granularity]}", + ) + if input_partition.format is None: + raise DJInvalidInputException( + message="The temporal partition column's datetime format must be provided.", + ) + + if column.partition: + column.partition.type_ = input_partition.type_ + column.partition.granularity = input_partition.granularity + column.partition.format = input_partition.format + session.add(column) + upsert_partition_event.activity_type = ActivityType.UPDATE + session.add(upsert_partition_event) + else: + partition = Partition( + column=column, + type_=input_partition.type_, + granularity=input_partition.granularity, + format=input_partition.format, + ) + session.add(partition) + await save_history(event=upsert_partition_event, session=session) + await session.commit() + await session.refresh(column) + return column + + +@router.post( + "/nodes/{node_name}/copy", + response_model=DAGNodeOutput, + name="Copy A Node", +) +async def copy_node( + node_name: str, + *, + new_name: str, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), + access_checker: AccessChecker = Depends(get_access_checker), +) -> DAGNodeOutput: + """ + Copy this node to a new name. + """ + # Check to make sure that the new node's namespace exists + new_node_namespace = ".".join(new_name.split(".")[:-1]) + await get_node_namespace(session, new_node_namespace, raise_if_not_exists=True) + + # Check that the user has access to read the existing node and write to the new namespace + access_checker.add_request_by_node_name(node_name, ResourceAction.READ) + access_checker.add_namespace(new_name, ResourceAction.WRITE) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + # Check if there is already a node with the new name + existing_new_node = await get_node_by_name( + session, + new_name, + raise_if_not_exists=False, + include_inactive=True, + ) + if existing_new_node: + if existing_new_node.deactivated_at: + await hard_delete_node(new_name, session, current_user, save_history) + else: + raise DJAlreadyExistsException( + f"A node with name {new_name} already exists.", + ) + + # Copy existing node to the new name + await copy_to_new_node(session, node_name, new_name, current_user, save_history) + new_node = await Node.get_by_name(session, new_name) + return new_node # type: ignore diff --git a/datajunction-server/datajunction_server/api/notifications.py b/datajunction-server/datajunction_server/api/notifications.py new file mode 100644 index 000000000..ad351e53c --- /dev/null +++ b/datajunction-server/datajunction_server/api/notifications.py @@ -0,0 +1,204 @@ +"""Dependency for notifications""" + +import logging +from http import HTTPStatus +from typing import Annotated, List, Optional +from datetime import datetime, timezone + +from fastapi import Body, Depends +from fastapi.responses import JSONResponse +from sqlalchemy import update +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select +from sqlalchemy.dialects.postgresql import insert +from datajunction_server.database.notification_preference import NotificationPreference +from datajunction_server.database.user import User +from datajunction_server.database.history import History +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.internal.notifications import ( + get_entity_notification_preferences, +) +from datajunction_server.models.notifications import NotificationPreferenceModel +from datajunction_server.utils import ( + get_current_user, + get_session, +) + +router = SecureAPIRouter(tags=["notifications"]) +_logger = logging.getLogger(__name__) + + +def get_notifier(): + """Returns a method for sending notifications for an event""" + + def notify(event: History): + """Send a notification for an event""" + _logger.debug("Sending notification for event %s", event) + + return notify + + +@router.post("/notifications/subscribe") +async def subscribe( + entity_type: Annotated[EntityType, Body()], + entity_name: Annotated[str, Body()], + activity_types: list[ActivityType], + alert_types: list[str], + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> JSONResponse: + """ + Subscribes to notifications by upserting a notification preference. + If one exists, update it. Otherwise, create a new one. + """ + stmt = ( + insert(NotificationPreference) + .values( + user_id=current_user.id, + entity_type=entity_type, + entity_name=entity_name, + activity_types=activity_types, + alert_types=alert_types, + ) + .on_conflict_do_update( + index_elements=["user_id", "entity_type", "entity_name"], + set_={ + "activity_types": activity_types, + "alert_types": alert_types, + }, + ) + ) + + await session.execute(stmt) + await session.commit() + + return JSONResponse( + status_code=201, + content={ + "message": ( + f"Notification preferences successfully saved for {entity_name}" + ), + }, + ) + + +@router.delete("/notifications/unsubscribe") +async def unsubscribe( + entity_type: EntityType, + entity_name: str, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> JSONResponse: + """Unsubscribes from notifications by deleting a notification preference""" + result = await session.execute( + select(NotificationPreference).where( + NotificationPreference.entity_type == entity_type, + NotificationPreference.entity_name == entity_name, + NotificationPreference.user_id == current_user.id, + ), + ) + notification_preference = result.scalars().first() + + if not notification_preference: + raise DJDoesNotExistException( + message=f"No notification preference found for {entity_name}", + http_status_code=HTTPStatus.NOT_FOUND, + ) + await session.delete(notification_preference) + await session.commit() + return JSONResponse( + status_code=200, + content={ + "message": ( + f"Notification preferences successfully removed for {entity_name}" + ), + }, + ) + + +@router.get("/notifications/") +async def get_preferences( + entity_name: Optional[str] = None, + entity_type: Optional[EntityType] = None, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> List[NotificationPreferenceModel]: + """Gets notification preferences for the current user""" + statement = ( + select( + NotificationPreference.entity_type, + NotificationPreference.entity_name, + NotificationPreference.activity_types, + NotificationPreference.alert_types, + User.id.label("user_id"), + User.username, + ) + .join(User, NotificationPreference.user_id == User.id) + .where( + NotificationPreference.user_id == current_user.id, + ) + ) + + if entity_name: + statement = statement.where(NotificationPreference.entity_name == entity_name) + if entity_type: + statement = statement.where(NotificationPreference.entity_type == entity_type) + + result = await session.execute(statement) + rows = result.all() + + return [ + NotificationPreferenceModel( + entity_type=row.entity_type, + entity_name=row.entity_name, + activity_types=row.activity_types, + alert_types=row.alert_types, + user_id=row.user_id, + username=row.username, + ) + for row in rows + ] + + +@router.get("/notifications/users") +async def get_users_for_notification( + entity_name: str, + entity_type: EntityType, + session: AsyncSession = Depends(get_session), +) -> list[str]: + """Get users for the given notification preference""" + notification_preferences = await get_entity_notification_preferences( + session=session, + entity_name=entity_name, + entity_type=entity_type, + ) + users = [perf.user.username for perf in notification_preferences] + return users + + +@router.post("/notifications/mark-read") +async def mark_notifications_read( + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> JSONResponse: + """ + Mark all notifications as read by updating the user's + last_viewed_notifications_at timestamp to now. + """ + now = datetime.now(timezone.utc) + await session.execute( + update(User) + .where(User.id == current_user.id) + .values(last_viewed_notifications_at=now), + ) + await session.commit() + + return JSONResponse( + status_code=200, + content={ + "message": "Notifications marked as read", + "last_viewed_at": now.isoformat(), + }, + ) diff --git a/datajunction-server/datajunction_server/api/preaggregations.py b/datajunction-server/datajunction_server/api/preaggregations.py new file mode 100644 index 000000000..5e9cc1f30 --- /dev/null +++ b/datajunction-server/datajunction_server/api/preaggregations.py @@ -0,0 +1,1403 @@ +""" +Pre-aggregation related APIs. + +These endpoints support both DJ-managed and user-managed materialization flows: + +Flow A (DJ-managed): +1. User calls POST /preaggs/plan with metrics + dimensions +2. User calls POST /preaggs/{id}/materialize to trigger DJ's query service +3. Query service materializes and posts back availability + +Flow B (User-managed): +1. User calls POST /preaggs/plan with metrics + dimensions +2. User gets pre-agg IDs and SQL from response +3. User materializes in their own query service +4. User calls POST /preaggs/{id}/availability/ to report completion +""" + +import logging +from http import HTTPStatus +from typing import List, Optional +from datetime import date as date_type + +from fastapi import Depends, Query, Request +from pydantic import BaseModel, Field +from sqlalchemy import select, func +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, load_only, selectinload + +from datajunction_server.construction.build_v3.builder import build_measures_sql +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.column import Column +from datajunction_server.database.availabilitystate import AvailabilityState +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.measure import FrozenMeasure +from datajunction_server.database.preaggregation import ( + PreAggregation, + VALID_PREAGG_STRATEGIES, + compute_grain_group_hash, + compute_expression_hash, +) +from datajunction_server.errors import ( + DJDoesNotExistException, + DJInvalidInputException, + DJQueryServiceClientException, +) +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.models.node_type import NodeNameVersion, NodeType +from datajunction_server.models.dialect import Dialect +from datajunction_server.models.materialization import MaterializationStrategy +from datajunction_server.models.preaggregation import ( + BackfillRequest, + BackfillInput, + BackfillResponse, + BulkDeactivateWorkflowsResponse, + DeactivatedWorkflowInfo, + GrainMode, + DEFAULT_SCHEDULE, + PlanPreAggregationsRequest, + PlanPreAggregationsResponse, + PreAggregationInfo, + PreAggregationListResponse, + PreAggMaterializationInput, + UpdatePreAggregationAvailabilityRequest, + WorkflowResponse, + WorkflowStatus, + WorkflowUrl, +) +from datajunction_server.construction.build_v3.preagg_matcher import ( + get_temporal_partitions, +) +from datajunction_server.models.decompose import MetricRef, PreAggMeasure +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.query import ColumnMetadata, V3ColumnMetadata +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.dag import get_upstream_nodes +from datajunction_server.utils import get_query_service_client, get_session + +_logger = logging.getLogger(__name__) +router = SecureAPIRouter(tags=["preaggregations"]) + + +def _compute_output_table(node_name: str, grain_group_hash: str) -> str: + """ + Compute the output table name for a pre-aggregation. + + Format: {node_short}_preagg_{hash[:8]} + """ + node_short = node_name.replace(".", "_") + return f"{node_short}_preagg_{grain_group_hash[:8]}" + + +async def _get_upstream_source_tables( + session: AsyncSession, + node_name: str, +) -> List[str]: + """ + Get upstream source table names for a node using DJ's lineage graph. + + Traverses the node's upstream dependencies to find all source nodes, + then returns their fully qualified table names (catalog.schema.table). + + Args: + session: Database session + node_name: The node name to find upstream sources for + + Returns: + List of fully qualified table names (e.g., ['catalog.schema.table']) + """ + try: + # Get all upstream source nodes with catalog info eagerly loaded + upstream_sources = await get_upstream_nodes( + session, + node_name, + node_type=NodeType.SOURCE, + options=[ + joinedload(Node.current).joinedload(NodeRevision.catalog), + ], + ) + + upstream_tables = [] + for node in upstream_sources: + rev = node.current + if rev and rev.catalog: # pragma: no branch + # Build fully qualified table name + parts = [rev.catalog.name] + if rev.schema_: # pragma: no branch + parts.append(rev.schema_) + if rev.table: # pragma: no branch + parts.append(rev.table) + upstream_tables.append(".".join(parts)) + + return list(set(upstream_tables)) # Remove duplicates + except Exception as e: # pragma: no cover + _logger.warning("Failed to get upstream source tables for %s: %s", node_name, e) + return [] + + +async def _preagg_to_info( + preagg: PreAggregation, + session: AsyncSession, +) -> PreAggregationInfo: + """Convert a PreAggregation ORM object to a PreAggregationInfo response model.""" + # Look up related metrics from FrozenMeasure relationships for each measure + measures_with_metrics: list[PreAggMeasure] = [] + all_related_metrics: set[str] = set() + + # Fetch all frozen measures in a single query to avoid N+1 + measure_names = [measure.name for measure in preagg.measures or []] + frozen_measures = await FrozenMeasure.get_by_names(session, measure_names) + frozen_measures_map = {fm.name: fm for fm in frozen_measures} + + for measure in preagg.measures or []: + # Find which metrics use this measure + measure_metrics: list[MetricRef] = [] + frozen = frozen_measures_map.get(measure.name) + if frozen: + for nr in frozen.used_by_node_revisions: + if nr.type == NodeType.METRIC: # pragma: no branch + measure_metrics.append( + MetricRef(name=nr.name, display_name=nr.display_name), + ) + all_related_metrics.add(nr.name) + + # Create new PreAggMeasure with used_by_metrics populated + measures_with_metrics.append( + PreAggMeasure( + name=measure.name, + expression=measure.expression, + aggregation=measure.aggregation, + merge=measure.merge, + rule=measure.rule, + expr_hash=measure.expr_hash, + used_by_metrics=sorted(measure_metrics, key=lambda m: m.name) + if measure_metrics + else None, + ), + ) + + return PreAggregationInfo( + id=preagg.id, + node_revision_id=preagg.node_revision_id, + node_name=preagg.node_revision.name, + node_version=preagg.node_revision.version, + grain_columns=preagg.grain_columns, + measures=measures_with_metrics, + columns=preagg.columns, + sql=preagg.sql, + grain_group_hash=preagg.grain_group_hash, + strategy=preagg.strategy, + schedule=preagg.schedule, + lookback_window=preagg.lookback_window, + workflow_urls=preagg.workflow_urls, # PydanticListType handles conversion + workflow_status=preagg.workflow_status, + status=preagg.status, + materialized_table_ref=preagg.materialized_table_ref, + max_partition=preagg.max_partition, + related_metrics=sorted(all_related_metrics) if all_related_metrics else None, + created_at=preagg.created_at, + updated_at=preagg.updated_at, + ) + + +# ============================================================================= +# GET Endpoints - List and Query +# ============================================================================= + + +@router.get( + "/preaggs/", + response_model=PreAggregationListResponse, + name="List Pre-aggregations", +) +async def list_preaggregations( + node_name: Optional[str] = Query( + default=None, + description="Filter by node name", + ), + node_version: Optional[str] = Query( + default=None, + description="Filter by node version (requires node_name)", + ), + grain: Optional[str] = Query( + default=None, + description="Comma-separated grain columns to match", + ), + grain_mode: GrainMode = Query( + default=GrainMode.EXACT, + description="Grain matching mode: 'exact' (default) or 'superset' (pre-agg contains all requested + maybe more)", + ), + grain_group_hash: Optional[str] = Query( + default=None, + description="Filter by grain group hash", + ), + measures: Optional[str] = Query( + default=None, + description="Comma-separated measures (pre-agg must contain ALL)", + ), + status: Optional[str] = Query( + default=None, + description="Filter by status: 'pending' or 'active'", + ), + include_stale: bool = Query( + default=False, + description="Include pre-aggs from older node versions (stale)", + ), + limit: int = Query(default=50, ge=1, le=100), + offset: int = Query(default=0, ge=0), + *, + session: AsyncSession = Depends(get_session), +) -> PreAggregationListResponse: + """ + List pre-aggregations with optional filters. + + Filter options: + - node_name: Filter by the source node name + - node_version: Filter by node version (if omitted, uses latest version) + - grain: Comma-separated grain columns to match + - grain_mode: 'exact' (default) requires exact match, 'superset' finds pre-aggs + that contain all requested columns (and possibly more - finer grain) + - grain_group_hash: Direct lookup by grain group hash + - measures: Comma-separated measures - pre-agg must contain ALL specified + - status: Filter by 'pending' (no availability) or 'active' (has availability) + """ + # Build base query with eager loading + stmt = select(PreAggregation).options( + joinedload(PreAggregation.node_revision), + joinedload(PreAggregation.availability), + ) + + # Filter by node_name (and optionally version) + if node_name: + # Minimal load: only need node.id and node.current.id for filtering + node = await Node.get_by_name( + session, + node_name, + options=[ + load_only(Node.id), + joinedload(Node.current).load_only(NodeRevision.id), + ], + ) + if not node: + raise DJDoesNotExistException(f"Node '{node_name}' not found") + + if node_version: + # Find specific revision using async-safe query instead of iterating node.revisions + revision_stmt = select(NodeRevision).where( + NodeRevision.node_id == node.id, + NodeRevision.version == node_version, + ) + revision_result = await session.execute(revision_stmt) + target_revision = revision_result.scalar_one_or_none() + if not target_revision: + raise DJDoesNotExistException( + f"Version '{node_version}' not found for node '{node_name}'", + ) + stmt = stmt.where(PreAggregation.node_revision_id == target_revision.id) + elif include_stale: + # Include all revisions for this node + all_revisions_stmt = select(NodeRevision.id).where( + NodeRevision.node_id == node.id, + ) + stmt = stmt.where( + PreAggregation.node_revision_id.in_(all_revisions_stmt), + ) + else: + # Use latest version only (default) + stmt = stmt.where(PreAggregation.node_revision_id == node.current.id) + + # Filter by grain_group_hash (direct lookup) + if grain_group_hash: + stmt = stmt.where(PreAggregation.grain_group_hash == grain_group_hash) + + # Parse grain columns for filtering + grain_cols: Optional[List[str]] = None + if grain: + grain_cols = [g.strip().lower() for g in grain.split(",")] + + # Execute query for total count (before pagination) + count_stmt = select(func.count()).select_from(stmt.subquery()) + total_result = await session.execute(count_stmt) + total = total_result.scalar() or 0 + + # Apply pagination + stmt = stmt.offset(offset).limit(limit) + + # Execute main query + result = await session.execute(stmt) + preaggs = list(result.scalars().unique().all()) + + _logger.info( + "list_preaggs: found %d pre-aggs before filtering (node_name=%s)", + len(preaggs), + node_name, + ) + + # Post-filter by grain columns (compare full dimension names, case-insensitive) + if grain_cols: + requested_grain = set(g.lower() for g in grain_cols) + _logger.info( + "list_preaggs: filtering by grain=%s, mode=%s", + requested_grain, + grain_mode, + ) + + before_count = len(preaggs) + if grain_mode == GrainMode.EXACT: + # Exact match: pre-agg grain must match exactly + filtered = [] + for p in preaggs: + preagg_grain = set(col.lower() for col in p.grain_columns) + matches = preagg_grain == requested_grain + _logger.info( + " preagg %s: grain=%s, matches=%s", + p.id, + preagg_grain, + matches, + ) + if matches: + filtered.append(p) + preaggs = filtered + else: # superset + # Superset match: pre-agg grain must contain ALL requested columns + # (pre-agg can have more columns = finer grain) + filtered = [] + for p in preaggs: + preagg_grain = set(col.lower() for col in p.grain_columns) + # Check if requested_grain is subset of preagg_grain + matches = requested_grain <= preagg_grain + missing = requested_grain - preagg_grain + _logger.info( + " preagg %s: grain=%s, requested=%s, missing=%s, matches=%s", + p.id, + preagg_grain, + requested_grain, + missing, + matches, + ) + if matches: + filtered.append(p) + preaggs = filtered + + _logger.info( + "list_preaggs: grain filter reduced %d -> %d", + before_count, + len(preaggs), + ) + + # Post-filter by measures (superset match - pre-agg must contain ALL by name) + if measures: + measure_list = [m.strip().lower() for m in measures.split(",")] + needed = set(measure_list) + _logger.info("list_preaggs: filtering by measures=%s", needed) + + before_count = len(preaggs) + filtered = [] + for p in preaggs: + preagg_measures = { + m.name.lower() if hasattr(m, "name") else m.get("name", "").lower() + for m in p.measures + } + matches = needed <= preagg_measures + missing = needed - preagg_measures + _logger.info( + " preagg %s: measures=%s, missing=%s, matches=%s", + p.id, + preagg_measures, + missing, + matches, + ) + if matches: + filtered.append(p) # pragma: no cover + preaggs = filtered + + _logger.info( + "list_preaggs: measures filter reduced %d -> %d", + before_count, + len(preaggs), + ) + + # Post-filter by status + if status: + if status not in ("pending", "active"): + raise DJDoesNotExistException( + f"Invalid status '{status}'. Must be 'pending' or 'active'", + ) + preaggs = [p for p in preaggs if p.status == status] + + # Convert to response models (with related metrics lookup) + items = [await _preagg_to_info(p, session) for p in preaggs] + + return PreAggregationListResponse( + items=items, + total=total, + limit=limit, + offset=offset, + ) + + +@router.get( + "/preaggs/{preagg_id}", + response_model=PreAggregationInfo, + name="Get Pre-aggregation by ID", +) +async def get_preaggregation( + preagg_id: int, + *, + session: AsyncSession = Depends(get_session), +) -> PreAggregationInfo: + """ + Get a single pre-aggregation by its ID. + + The response includes the SQL needed for materialization. + """ + stmt = ( + select(PreAggregation) + .options( + joinedload(PreAggregation.node_revision), + joinedload(PreAggregation.availability), + ) + .where(PreAggregation.id == preagg_id) + ) + result = await session.execute(stmt) + preagg = result.scalar_one_or_none() + + if not preagg: + raise DJDoesNotExistException(f"Pre-aggregation with ID {preagg_id} not found") + + return await _preagg_to_info(preagg, session) + + +# ============================================================================= +# POST Endpoints - Plan, Materialize, Availability +# ============================================================================= + + +@router.post( + "/preaggs/plan", + response_model=PlanPreAggregationsResponse, + status_code=HTTPStatus.CREATED, + name="Plan Pre-aggregations", +) +async def plan_preaggregations( + data: PlanPreAggregationsRequest, + *, + session: AsyncSession = Depends(get_session), +) -> PlanPreAggregationsResponse: + """ + Create pre-aggregations from metrics + dimensions. + + This is the primary way to create pre-aggregations. DJ: + 1. Computes grain groups from the metrics/dimensions (same as /sql/measures/v3) + 2. Generates SQL for each grain group + 3. Creates PreAggregation records (or returns existing ones if they match) + 4. Returns the pre-aggs with their IDs and SQL + + After calling this endpoint: + - Flow A: Call POST /preaggs/{id}/materialize to have DJ materialize + - Flow B: Use the returned SQL to materialize yourself, then call + POST /preaggs/{id}/availability/ to report completion + """ + _logger.info( + "Planning pre-aggregations for metrics=%s dimensions=%s", + data.metrics, + data.dimensions, + ) + + # Validate strategy if provided + if data.strategy and data.strategy not in VALID_PREAGG_STRATEGIES: + raise DJInvalidInputException( + message=f"Invalid strategy '{data.strategy}'. " + f"Valid strategies: {[s.value for s in VALID_PREAGG_STRATEGIES]}", + ) + + # Build measures SQL - this computes grain groups from metrics + dimensions + # We set use_materialized=False since we're generating SQL for materialization + # For INCREMENTAL_TIME strategy, include temporal filters with DJ_LOGICAL_TIMESTAMP() + include_temporal_filters = data.strategy == MaterializationStrategy.INCREMENTAL_TIME + measures_result = await build_measures_sql( + session=session, + metrics=data.metrics, + dimensions=data.dimensions, + filters=data.filters, + dialect=Dialect.SPARK, + use_materialized=False, + include_temporal_filters=include_temporal_filters, + lookback_window=data.lookback_window if include_temporal_filters else None, + ) + + created_preaggs: list[PreAggregation] = [] + + # Process each grain group and create PreAggregation records + for grain_group in measures_result.grain_groups: + # Get the parent node from context + parent_node = measures_result.ctx.nodes.get(grain_group.parent_name) + if not parent_node or not parent_node.current: # pragma: no cover + _logger.warning( + "Parent node %s not found in context, skipping grain group", + grain_group.parent_name, + ) + continue + + node_revision_id = parent_node.current.id + + # Validate: INCREMENTAL_TIME requires temporal partition columns + if data.strategy == MaterializationStrategy.INCREMENTAL_TIME: + source_temporal_cols = parent_node.current.temporal_partition_columns() + if not source_temporal_cols: # pragma: no branch + raise DJInvalidInputException( + message=( + f"INCREMENTAL_TIME strategy requires the upstream node " + f"'{grain_group.parent_name}' to have temporal partition columns. " + f"Either add temporal partition columns to the source node or use " + f"FULL strategy instead." + ), + ) + + # Convert grain to fully qualified dimension references + # The grain_group.grain contains column aliases, we need the full refs + # Use the requested dimensions that correspond to these grain columns + grain_columns = list(measures_result.requested_dimensions) + + # Convert MetricComponents to PreAggMeasure with expr_hash + # Use component_aliases to get readable names when available + # (metrics with 1 component use readable names like "total_revenue", + # metrics with multiple components use hashed names for uniqueness) + measures = [ + PreAggMeasure( + **{ + **component.model_dump(), + "name": grain_group.component_aliases.get( + component.name, + component.name, + ), + }, + expr_hash=compute_expression_hash(component.expression), + ) + for component in grain_group.components + ] + + # Get the SQL for this grain group + sql = grain_group.sql + + # Convert column metadata to V3ColumnMetadata for storage + columns = [ + V3ColumnMetadata( + name=col.name, + type=col.type, + semantic_type=col.semantic_type, + semantic_name=col.semantic_name, + ) + for col in grain_group.columns + ] + + # Compute grain_group_hash for lookup + grain_group_hash = compute_grain_group_hash(node_revision_id, grain_columns) + + # Check if a matching pre-agg already exists + existing = await PreAggregation.find_matching( + session=session, + node_revision_id=node_revision_id, + grain_columns=grain_columns, + measure_expr_hashes={m.expr_hash for m in measures if m.expr_hash}, + ) + + if existing: + _logger.info( + "Found existing pre-agg id=%s for grain_group_hash=%s", + existing.id, + grain_group_hash, + ) + # Update config if provided (allows re-running plan with new settings) + # if data.strategy: + existing.strategy = data.strategy or existing.strategy + # if data.schedule: + existing.schedule = data.schedule or existing.schedule + # if data.lookback_window: + existing.lookback_window = data.lookback_window or existing.lookback_window + # Update SQL and columns in case they changed + existing.sql = sql + existing.columns = columns + created_preaggs.append(existing) + else: + # Create new pre-aggregation + preagg = PreAggregation( + node_revision_id=node_revision_id, + grain_columns=grain_columns, + measures=measures, + columns=columns, + sql=sql, + grain_group_hash=grain_group_hash, + strategy=data.strategy, + schedule=data.schedule, + lookback_window=data.lookback_window, + ) + session.add(preagg) + created_preaggs.append(preagg) + _logger.info( + "Created new pre-agg for parent=%s grain=%s measures=%d", + grain_group.parent_name, + grain_columns, + len(measures), + ) + + await session.commit() + + # Re-fetch pre-aggs with eager-loaded relationships + preagg_ids = [p.id for p in created_preaggs] + stmt = ( + select(PreAggregation) + .options( + joinedload(PreAggregation.node_revision), + joinedload(PreAggregation.availability), + ) + .where(PreAggregation.id.in_(preagg_ids)) + ) + result = await session.execute(stmt) + loaded_preaggs = list(result.scalars().unique().all()) + + return PlanPreAggregationsResponse( + preaggs=[await _preagg_to_info(p, session) for p in loaded_preaggs], + ) + + +@router.post( + "/preaggs/{preagg_id}/materialize", + response_model=PreAggregationInfo, + name="Materialize Pre-aggregation", +) +async def materialize_preaggregation( + preagg_id: int, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), +) -> PreAggregationInfo: + """ + Create/update a scheduled workflow for this pre-aggregation. + + This creates a recurring workflow that materializes the pre-agg on schedule. + Call this endpoint to: + - Initially set up materialization for a pre-agg + - Refresh/recreate the workflow after config changes + + The workflow runs on the configured schedule (default: daily at midnight). + The query service will callback to POST /preaggs/{id}/availability/ when + each run completes. + + For user-managed materialization, use the SQL from GET /preaggs/{id} + and call POST /preaggs/{id}/availability/ when done. + """ + # Get the pre-agg with node_revision and its columns/partitions/dimension_links + stmt = ( + select(PreAggregation) + .options( + joinedload(PreAggregation.node_revision).options( + load_only(NodeRevision.name, NodeRevision.version), + selectinload(NodeRevision.columns).options( + load_only(Column.name, Column.type), + joinedload(Column.partition), + joinedload(Column.dimension).load_only(Node.name), + ), + selectinload(NodeRevision.dimension_links).options( + joinedload(DimensionLink.dimension).load_only(Node.name), + ), + ), + joinedload(PreAggregation.availability), + ) + .where(PreAggregation.id == preagg_id) + ) + result = await session.execute(stmt) + preagg = result.scalar_one_or_none() + + if not preagg: + raise DJDoesNotExistException(f"Pre-aggregation with ID {preagg_id} not found") + + # Validate strategy is set + if not preagg.strategy: + raise DJInvalidInputException( + message="Strategy must be set before materialization. " + "Use PATCH /preaggs/{id}/config or set strategy in POST /preaggs/plan.", + ) + + # Check if source node has temporal partition columns (needed for INCREMENTAL_TIME) + if preagg.strategy == MaterializationStrategy.INCREMENTAL_TIME: + source_temporal_cols = preagg.node_revision.temporal_partition_columns() + if not source_temporal_cols: # pragma: no branch + raise DJInvalidInputException( + message=( + f"INCREMENTAL_TIME strategy requires the source node " + f"'{preagg.node_revision.name}' to have temporal partition columns. " + f"Either add temporal partition columns to the source node or use " + f"FULL strategy instead." + ), + ) + + # Build output table name + node_short = preagg.node_revision.name.replace(".", "_") + output_table = f"{node_short}_preagg_{preagg.grain_group_hash[:8]}" + + # Get temporal partition info + temporal_partitions = get_temporal_partitions(preagg) + + # Build columns metadata from stored V3ColumnMetadata + columns: list[ColumnMetadata] = [] + column_names: set[str] = set() + + if preagg.columns: + # Convert V3ColumnMetadata to ColumnMetadata for the materialization API + for col in preagg.columns: # pragma: no cover + columns.append( + ColumnMetadata( + name=col.name, + type=col.type, + semantic_entity=col.semantic_name, + semantic_type=col.semantic_type, + ), + ) + column_names.add(col.name) + + # Ensure temporal partition columns are included in columns list + # (they may not be if partition column wasn't selected as a dimension) + for tp in temporal_partitions: + if tp.column_name not in column_names: # pragma: no branch + columns.append( + ColumnMetadata( + name=tp.column_name, + type=tp.column_type or "int", + ), + ) + column_names.add(tp.column_name) + _logger.info( + "Added partition column to columns list: %s (type=%s)", + tp.column_name, + tp.column_type, + ) + + # Get upstream source tables using DJ's node lineage + upstream_tables = await _get_upstream_source_tables( + session, + preagg.node_revision.name, + ) + + # Use schedule from pre-agg or default to daily + schedule = preagg.schedule or DEFAULT_SCHEDULE + + _logger.info( + "Building materialization input: columns=%s, temporal_partitions=%s, " + "upstream_tables=%s, schedule=%s", + [c.name for c in columns], + [tp.column_name for tp in temporal_partitions], + upstream_tables, + schedule, + ) + + # Build materialization input + mat_input = PreAggMaterializationInput( + preagg_id=preagg_id, + output_table=output_table, + node=NodeNameVersion( + name=preagg.node_revision.name, + version=preagg.node_revision.version, + ), + grain=preagg.grain_columns, + measures=preagg.measures, + query=preagg.sql, + columns=columns, + upstream_tables=upstream_tables, + temporal_partitions=temporal_partitions, + strategy=preagg.strategy, + schedule=schedule, + lookback_window=preagg.lookback_window, + activate=True, + ) + + # Call query service + _logger.info( + "Creating workflow for preagg_id=%s output_table=%s strategy=%s schedule=%s", + preagg_id, + output_table, + preagg.strategy.value, + schedule, + ) + request_headers = dict(request.headers) + + try: + mat_result = query_service_client.materialize_preagg( + mat_input, + request_headers=request_headers, + ) + except Exception as e: + _logger.exception( + "Failed to create workflow for preagg_id=%s: %s", + preagg_id, + str(e), + ) + raise DJQueryServiceClientException( + message=f"Failed to create workflow: {e}", + ) + + # Store labeled workflow URLs from query service response + # Query service returns 'workflow_urls' list of {label, url} objects + # PydanticListType handles serialization to/from WorkflowUrl objects + workflow_urls_data = mat_result.get("workflow_urls", []) + if workflow_urls_data: + preagg.workflow_urls = [ + WorkflowUrl(label=wf["label"], url=wf["url"]) for wf in workflow_urls_data + ] + else: + # Fallback: convert legacy 'urls' list to labeled format + urls = mat_result.get("urls", []) + if urls: # pragma: no branch + labeled_urls: list[WorkflowUrl] = [] + for url in urls: + if ".main" in url or "scheduled" in url.lower(): + labeled_urls.append(WorkflowUrl(label="scheduled", url=url)) + elif ".backfill" in url or "adhoc" in url.lower(): + labeled_urls.append(WorkflowUrl(label="backfill", url=url)) + else: + labeled_urls.append(WorkflowUrl(label="workflow", url=url)) + preagg.workflow_urls = labeled_urls + + preagg.workflow_status = WorkflowStatus.ACTIVE + # Also update schedule if it wasn't set (using default) + if not preagg.schedule: + preagg.schedule = schedule + await session.commit() + + _logger.info( + "Created workflow for preagg_id=%s, workflow_urls=%s, status=active", + preagg_id, + preagg.workflow_urls, + ) + + # Return pre-agg info with workflow URLs + await session.refresh(preagg, ["node_revision", "availability"]) + return await _preagg_to_info(preagg, session) + + +class UpdatePreAggregationConfigRequest(BaseModel): + """Request model for updating a pre-aggregation's materialization config.""" + + strategy: Optional[MaterializationStrategy] = Field( + default=None, + description="Materialization strategy (FULL or INCREMENTAL_TIME)", + ) + schedule: Optional[str] = Field( + default=None, + description="Cron expression for scheduled materialization", + ) + lookback_window: Optional[str] = Field( + default=None, + description="Lookback window for incremental materialization (e.g., '3 days')", + ) + + +@router.patch( + "/preaggs/{preagg_id}/config", + response_model=PreAggregationInfo, + name="Update Pre-aggregation Config", +) +async def update_preaggregation_config( + preagg_id: int, + data: UpdatePreAggregationConfigRequest, + *, + session: AsyncSession = Depends(get_session), +) -> PreAggregationInfo: + """ + Update the materialization configuration of a single pre-aggregation. + + Use this endpoint to configure individual pre-aggs with different + strategies, schedules, or lookback windows. + """ + # Get the pre-aggregation + stmt = ( + select(PreAggregation) + .options( + joinedload(PreAggregation.node_revision), + joinedload(PreAggregation.availability), + ) + .where(PreAggregation.id == preagg_id) + ) + result = await session.execute(stmt) + preagg = result.scalar_one_or_none() + + if not preagg: + raise DJDoesNotExistException(f"Pre-aggregation with ID {preagg_id} not found") + + # Update only the fields that are provided + if data.strategy is not None: + preagg.strategy = data.strategy + if data.schedule is not None: + preagg.schedule = data.schedule + if data.lookback_window is not None: + preagg.lookback_window = data.lookback_window + + await session.commit() + await session.refresh(preagg, ["node_revision", "availability"]) + + _logger.info( + "Updated config for pre-aggregation id=%s strategy=%s schedule=%s lookback=%s", + preagg_id, + preagg.strategy, + preagg.schedule, + preagg.lookback_window, + ) + + return await _preagg_to_info(preagg, session) + + +# ============================================================================= +# Workflow Management Endpoints +# ============================================================================= + + +@router.delete( + "/preaggs/{preagg_id}/workflow", + response_model=WorkflowResponse, + name="Deactivate Scheduled Workflow", +) +async def delete_preagg_workflow( + preagg_id: int, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), +) -> WorkflowResponse: + """ + Deactivate (pause) the scheduled workflow for this pre-aggregation. + + The workflow definition is kept but will not run on schedule. + Call POST /preaggs/{id}/materialize to re-activate. + """ + # Get the pre-agg + stmt = ( + select(PreAggregation) + .options( + joinedload(PreAggregation.node_revision), + joinedload(PreAggregation.availability), + ) + .where(PreAggregation.id == preagg_id) + ) + result = await session.execute(stmt) + preagg = result.scalar_one_or_none() + + if not preagg: + raise DJDoesNotExistException(f"Pre-aggregation with ID {preagg_id} not found") + + if not preagg.workflow_urls: + return WorkflowResponse( + workflow_url=None, + status="none", + message="No workflow exists for this pre-aggregation", + ) + + # Compute output_table - the resource identifier that Query Service uses + output_table = _compute_output_table( + preagg.node_revision.name, + preagg.grain_group_hash, + ) + + # Call query service to deactivate using the resource identifier (output_table) + # Query Service owns the workflow naming patterns and reconstructs them from output_table + request_headers = dict(request.headers) + try: + query_service_client.deactivate_preagg_workflow( + output_table, + request_headers=request_headers, + ) + except Exception as e: + _logger.exception( + "Failed to deactivate workflow for preagg_id=%s: %s", + preagg_id, + str(e), + ) + raise DJQueryServiceClientException( + message=f"Failed to deactivate workflow: {e}", + ) + + # Clear all materialization config and workflow state - clean slate for reconfiguration + preagg.strategy = None + preagg.schedule = None + preagg.lookback_window = None + preagg.workflow_urls = None + preagg.workflow_status = None + await session.commit() + + _logger.info( + "Deactivated workflow and cleared config for preagg_id=%s", + preagg_id, + ) + + return WorkflowResponse( + workflow_url=None, + status="none", + message="Workflow deactivated and configuration cleared. You can reconfigure materialization.", + ) + + +@router.delete( + "/preaggs/workflows", + response_model=BulkDeactivateWorkflowsResponse, + name="Bulk Deactivate Workflows", +) +async def bulk_deactivate_preagg_workflows( + node_name: str = Query( + description="Node name to deactivate workflows for (required)", + ), + stale_only: bool = Query( + default=False, + description="If true, only deactivate workflows for stale pre-aggs " + "(pre-aggs built for non-current node versions)", + ), + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), +) -> BulkDeactivateWorkflowsResponse: + """ + Bulk deactivate workflows for pre-aggregations of a node. + + This is useful for cleaning up stale pre-aggregations after a node + has been updated. When stale_only=true, only deactivates workflows + for pre-aggs that were built for older node versions. + + Staleness is determined by comparing the pre-agg's node_revision_id + to the node's current revision. + """ + # Get the node and its current revision + node = await Node.get_by_name( + session, + node_name, + options=[ + load_only(Node.id), + joinedload(Node.current).load_only(NodeRevision.id), + ], + ) + if not node: + raise DJDoesNotExistException(f"Node '{node_name}' not found") + + current_revision_id = node.current.id if node.current else None + + # Build query for pre-aggs with active workflows + stmt = ( + select(PreAggregation) + .options(joinedload(PreAggregation.node_revision)) + .join(PreAggregation.node_revision) + .where( + NodeRevision.node_id == node.id, + PreAggregation.workflow_status == WorkflowStatus.ACTIVE, + ) + ) + + # If stale_only, filter to non-current revisions + if stale_only and current_revision_id: + stmt = stmt.where(PreAggregation.node_revision_id != current_revision_id) + + result = await session.execute(stmt) + preaggs = result.scalars().all() + + if not preaggs: + return BulkDeactivateWorkflowsResponse( + deactivated_count=0, + deactivated=[], + skipped_count=0, + message="No active workflows found matching criteria", + ) + + deactivated = [] + skipped_count = 0 + request_headers = dict(request.headers) + + for preagg in preaggs: + if not preagg.workflow_urls: # pragma: no cover + skipped_count += 1 + continue + + # Compute output_table for workflow identification + output_table = _compute_output_table( + preagg.node_revision.name, + preagg.grain_group_hash, + ) + + # Extract workflow name from URLs if available + workflow_name = None + if preagg.workflow_urls: # pragma: no branch + for wf_url in preagg.workflow_urls: # pragma: no branch + if ( + hasattr(wf_url, "label") and wf_url.label == "scheduled" + ): # pragma: no branch + # Extract workflow name from URL path + workflow_name = wf_url.url.split("/")[-1] if wf_url.url else None + break + + try: + query_service_client.deactivate_preagg_workflow( + output_table, + request_headers=request_headers, + ) + + # Clear workflow state + preagg.strategy = None + preagg.schedule = None + preagg.lookback_window = None + preagg.workflow_urls = None + preagg.workflow_status = None + + deactivated.append( + DeactivatedWorkflowInfo( + id=preagg.id, + workflow_name=workflow_name, + ), + ) + + _logger.info( + "Bulk deactivate: deactivated workflow for preagg_id=%s", + preagg.id, + ) + except Exception as e: # pragma: no cover + _logger.warning( + "Bulk deactivate: failed to deactivate workflow for preagg_id=%s: %s", + preagg.id, + str(e), + ) + # Continue with other pre-aggs even if one fails + + await session.commit() + + return BulkDeactivateWorkflowsResponse( + deactivated_count=len(deactivated), + deactivated=deactivated, + skipped_count=skipped_count, + message=f"Deactivated {len(deactivated)} workflow(s) for node '{node_name}'" + + (" (stale only)" if stale_only else ""), + ) + + +# ============================================================================= +# Backfill & Run Endpoints +# ============================================================================= + + +@router.post( + "/preaggs/{preagg_id}/backfill", + response_model=BackfillResponse, + name="Run Backfill", +) +async def run_preagg_backfill( + preagg_id: int, + data: BackfillRequest, + *, + session: AsyncSession = Depends(get_session), + request: Request, + query_service_client: QueryServiceClient = Depends(get_query_service_client), +) -> BackfillResponse: + """ + Run a backfill for the specified date range. + + This triggers a one-time job to process historical data from start_date + to end_date. The workflow must already exist (created via POST /workflow). + + Use this to: + - Initially populate a new pre-aggregation + - Re-process data after a bug fix + - Catch up on missed partitions + """ + # Get the pre-agg (minimal load - just need ID, node_revision name, and workflow URL) + stmt = ( + select(PreAggregation) + .options(joinedload(PreAggregation.node_revision)) + .where(PreAggregation.id == preagg_id) + ) + result = await session.execute(stmt) + preagg = result.scalar_one_or_none() + + if not preagg: + raise DJDoesNotExistException(f"Pre-aggregation with ID {preagg_id} not found") + + # Validate: workflow must exist + if not preagg.workflow_urls: + raise DJInvalidInputException( + "Pre-aggregation must have a workflow created first. " + "Use POST /preaggs/{id}/workflow first.", + ) + + # Default end_date to today + end_date = data.end_date or date_type.today() + + # Compute output table (Query Service derives workflow name from this) + output_table = _compute_output_table( + preagg.node_revision.name, + preagg.grain_group_hash, + ) + + # Build simplified backfill input + backfill_input = BackfillInput( + preagg_id=preagg_id, + output_table=output_table, + node_name=preagg.node_revision.name, + start_date=data.start_date, + end_date=end_date, + ) + + # Call query service + _logger.info( + "Running backfill for preagg_id=%s from %s to %s output_table=%s", + preagg_id, + data.start_date, + end_date, + output_table, + ) + request_headers = dict(request.headers) + + try: + backfill_result = query_service_client.run_preagg_backfill( + backfill_input, + request_headers=request_headers, + ) + except Exception as e: + _logger.exception( + "Failed to run backfill for preagg_id=%s: %s", + preagg_id, + str(e), + ) + raise DJQueryServiceClientException( + message=f"Failed to run backfill: {e}", + ) + + job_url = backfill_result.get("job_url", "") + _logger.info( + "Started backfill for preagg_id=%s job_url=%s", + preagg_id, + job_url, + ) + + return BackfillResponse( + job_url=job_url, + start_date=data.start_date, + end_date=end_date, + status="running", + ) + + +@router.post( + "/preaggs/{preagg_id}/availability/", + response_model=PreAggregationInfo, + name="Update Pre-aggregation Availability", +) +async def update_preaggregation_availability( + preagg_id: int, + data: UpdatePreAggregationAvailabilityRequest, + *, + session: AsyncSession = Depends(get_session), +) -> PreAggregationInfo: + """ + Update the availability state of a pre-aggregation (Flow B). + + Call this endpoint after your query service has materialized the data. + The availability state includes: + - catalog/schema/table: Where the materialized data lives + - valid_through_ts: Timestamp through which data is valid + - min/max_temporal_partition: Temporal partition range (high-water mark) + - partitions: Detailed partition-level availability + + This is the callback endpoint for external query services to report + materialization status back to DJ. + """ + _logger.info( + "Updating availability for pre-aggregation id=%s table=%s.%s.%s", + preagg_id, + data.catalog, + data.schema_, + data.table, + ) + + # Get the pre-aggregation + stmt = ( + select(PreAggregation) + .options( + joinedload(PreAggregation.node_revision), + joinedload(PreAggregation.availability), + ) + .where(PreAggregation.id == preagg_id) + ) + result = await session.execute(stmt) + preagg = result.scalar_one_or_none() + + if not preagg: + raise DJDoesNotExistException(f"Pre-aggregation with ID {preagg_id} not found") + + # Create or update availability state + old_availability = preagg.availability + + if ( + old_availability + and old_availability.catalog == data.catalog + and old_availability.schema_ == data.schema_ + and old_availability.table == data.table + ): + # Update existing availability - merge temporal ranges + if data.min_temporal_partition: + if ( # pragma: no branch + not old_availability.min_temporal_partition + or data.min_temporal_partition < old_availability.min_temporal_partition + ): + old_availability.min_temporal_partition = [ + str(p) for p in data.min_temporal_partition + ] + + if data.max_temporal_partition: + if ( # pragma: no branch + not old_availability.max_temporal_partition + or data.max_temporal_partition > old_availability.max_temporal_partition + ): + old_availability.max_temporal_partition = [ + str(p) for p in data.max_temporal_partition + ] + + old_availability.valid_through_ts = data.valid_through_ts + old_availability.url = data.url + old_availability.links = data.links or {} + + if data.partitions: + old_availability.partitions = [ # pragma: no cover + p.model_dump() if hasattr(p, "model_dump") else p + for p in data.partitions + ] + + _logger.info( + "Updated existing availability for pre-aggregation id=%s", + preagg_id, + ) + else: + # Create new availability state + new_availability = AvailabilityState( + catalog=data.catalog, + schema_=data.schema_, + table=data.table, + valid_through_ts=data.valid_through_ts, + url=data.url, + links=data.links or {}, + categorical_partitions=data.categorical_partitions or [], + temporal_partitions=data.temporal_partitions or [], + min_temporal_partition=[str(p) for p in data.min_temporal_partition or []], + max_temporal_partition=[str(p) for p in data.max_temporal_partition or []], + partitions=[ + p.model_dump() if hasattr(p, "model_dump") else p + for p in (data.partitions or []) + ], + ) + session.add(new_availability) + await session.flush() # Get the ID + + preagg.availability_id = new_availability.id + _logger.info( + "Created new availability (id=%s) for pre-aggregation id=%s", + new_availability.id, + preagg_id, + ) + + await session.commit() + await session.refresh(preagg, ["node_revision", "availability"]) + + return await _preagg_to_info(preagg, session) diff --git a/datajunction-server/datajunction_server/api/rbac.py b/datajunction-server/datajunction_server/api/rbac.py new file mode 100644 index 000000000..4e72d8ae4 --- /dev/null +++ b/datajunction-server/datajunction_server/api/rbac.py @@ -0,0 +1,644 @@ +"""RBAC API endpoints.""" + +from datetime import datetime, timezone +from typing import Any, Dict, List, Optional + +from fastapi import Depends, Query +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload +from sqlalchemy import delete as sql_delete + +from datajunction_server.database.history import History +from datajunction_server.database.rbac import Role, RoleScope, RoleAssignment +from datajunction_server.database.user import User +from datajunction_server.errors import ( + DJAlreadyExistsException, + DJDoesNotExistException, + DJException, +) +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.models.access import ResourceAction, ResourceType +from datajunction_server.models.rbac import ( + RoleAssignmentCreate, + RoleAssignmentOutput, + RoleCreate, + RoleOutput, + RoleScopeInput, + RoleScopeOutput, + RoleUpdate, +) +from datajunction_server.utils import get_session, get_current_user +from datajunction_server.models.user import UserOutput + +router = SecureAPIRouter(tags=["rbac"]) + + +async def log_activity( + session: AsyncSession, + entity_type: EntityType, + entity_name: str, + activity_type: ActivityType, + user: str, + pre: Optional[Dict[str, Any]] = None, + post: Optional[Dict[str, Any]] = None, + details: Optional[Dict[str, Any]] = None, +) -> None: + """ + Log activity to history table. + """ + history_entry = History( + entity_type=entity_type, + entity_name=entity_name, + activity_type=activity_type, + user=user, + pre=pre or {}, + post=post or {}, + details=details or {}, + ) + session.add(history_entry) + await session.flush() + + +@router.post("/roles/", response_model=RoleOutput, status_code=201) +async def create_role( + role_data: RoleCreate, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), +) -> Role: + """ + Create a new role with optional scopes. + + Roles are named collections of permissions that can be assigned to principals. + """ + # Check if role with this name already exists + existing = await Role.get_by_name( + session=session, + name=role_data.name, + include_deleted=False, + ) + if existing: + raise DJAlreadyExistsException( + message=f"Role with name '{role_data.name}' already exists", + ) + + # Create role + role = Role( + name=role_data.name, + description=role_data.description, + created_by_id=current_user.id, + ) + session.add(role) + await session.flush() # Get role.id + + # Create scopes + for scope_data in role_data.scopes: + scope = RoleScope( + role_id=role.id, + action=scope_data.action, + scope_type=scope_data.scope_type, + scope_value=scope_data.scope_value, + ) + session.add(scope) + + await session.commit() + await session.refresh(role) + + # Load scopes relationship + await session.refresh(role, ["scopes"]) + + # Log activity for audit trail + await log_activity( + session=session, + entity_type=EntityType.ROLE, + entity_name=role.name, + activity_type=ActivityType.CREATE, + user=current_user.username, + post={ + "id": role.id, + "name": role.name, + "description": role.description, + "scopes": [ + { + "action": s.action.value, + "scope_type": s.scope_type.value, + "scope_value": s.scope_value, + } + for s in role.scopes + ], + }, + ) + await session.commit() + + return role + + +@router.get("/roles/", response_model=List[RoleOutput]) +async def list_roles( + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), + limit: int = Query(default=100, le=500), + offset: int = Query(default=0, ge=0), + include_deleted: bool = Query(default=False), + created_by_id: Optional[int] = Query(default=None), +) -> List[Role]: + """ + List all roles with their scopes. + + By default, excludes soft-deleted roles. Set include_deleted=true to see all. + """ + return await Role.find( + session=session, + include_deleted=include_deleted, + created_by_id=created_by_id, + limit=limit, + offset=offset, + ) + + +@router.get("/roles/{role_name}", response_model=RoleOutput) +async def get_role( + role_name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), + include_deleted: bool = Query(default=False), +) -> Role: + """ + Get a specific role with its scopes. + + By default, returns 404 for deleted roles. Set include_deleted=true to see deleted roles. + """ + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=include_deleted, + ) + + return role + + +@router.patch("/roles/{role_name}", response_model=RoleOutput) +async def update_role( + role_name: str, + role_update: RoleUpdate, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), +) -> Role: + """ + Update a role's name or description. + + Note: Use /roles/{role_name}/scopes/ endpoints to manage scopes. + """ + # Get existing role + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=False, + ) + + # Capture pre-state for audit + pre_state = { + "name": role.name, + "description": role.description, + } + + # Check if new name conflicts with existing role + if role_update.name and role_update.name != role.name: + existing = await Role.get_by_name( + session=session, + name=role_update.name, + include_deleted=False, + ) + if existing: + raise DJAlreadyExistsException( + message=f"Role with name '{role_update.name}' already exists", + ) + role.name = role_update.name + + # Update description + if role_update.description is not None: + role.description = role_update.description + + await session.commit() + await session.refresh(role, ["scopes"]) + + # Log activity for audit trail + await log_activity( + session=session, + entity_type=EntityType.ROLE, + entity_name=role.name, + activity_type=ActivityType.UPDATE, + user=current_user.username, + pre=pre_state, + post={ + "name": role.name, + "description": role.description, + }, + ) + await session.commit() + + return role + + +@router.delete("/roles/{role_name}", status_code=204) +async def delete_role( + role_name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), +) -> None: + """ + Soft delete a role. + + Roles that have ever been assigned cannot be deleted (for SOX compliance). + This ensures a complete audit trail. Instead, roles are marked as deleted + and hidden from normal queries. + """ + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=False, + options=[ + selectinload(Role.scopes), + selectinload(Role.assignments), + ], + ) + + # Check if role has any assignments (current or past) + if role.assignments: + raise DJException( + message=( + f"Cannot delete role '{role.name}' because it has been assigned to principals. " + "Roles with assignments must be retained for audit compliance. " + "The role will remain in the system but can be hidden from active use." + ), + http_status_code=400, + ) + + # Soft delete + role.deleted_at = datetime.now(timezone.utc) + + # Log activity for audit trail (who deleted is captured in History.user) + await log_activity( + session=session, + entity_type=EntityType.ROLE, + entity_name=role.name, + activity_type=ActivityType.DELETE, + user=current_user.username, + pre={ + "id": role.id, + "name": role.name, + "description": role.description, + "scopes": [ + { + "action": s.action.value, + "scope_type": s.scope_type.value, + "scope_value": s.scope_value, + } + for s in role.scopes + ], + }, + ) + + await session.commit() + + +@router.post( + "/roles/{role_name}/scopes/", + response_model=RoleScopeOutput, + status_code=201, +) +async def add_scope_to_role( + role_name: str, + scope_data: RoleScopeInput, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), +) -> RoleScope: + """ + Add a scope (permission) to a role. + """ + # Check role exists + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=False, + ) + + # Check if scope already exists (duplicate check) + existing_scope = [ + scope + for scope in role.scopes + if scope.action == scope_data.action + and scope.scope_type == scope_data.scope_type + and scope.scope_value == scope_data.scope_value + ] + if existing_scope: + raise DJAlreadyExistsException( + message=f"Scope already exists for role '{role_name}'", + ) + + # Create scope + scope = RoleScope( + role_id=role.id, + action=scope_data.action, + scope_type=scope_data.scope_type, + scope_value=scope_data.scope_value, + ) + session.add(scope) + await session.commit() + await session.refresh(scope) + + # Log activity for audit trail + await log_activity( + session=session, + entity_type=EntityType.ROLE_SCOPE, + entity_name=f"{role.name}:{scope.action.value}:{scope.scope_type.value}:{scope.scope_value}", + activity_type=ActivityType.CREATE, + user=current_user.username, + post={ + "role_id": role.id, + "role_name": role.name, + "action": scope.action.value, + "scope_type": scope.scope_type.value, + "scope_value": scope.scope_value, + }, + ) + await session.commit() + + return scope + + +@router.get("/roles/{role_name}/scopes/", response_model=List[RoleScopeOutput]) +async def list_role_scopes( + role_name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), +) -> List[RoleScope]: + """ + List all scopes for a role. + """ + # Check role exists + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=False, + ) + return role.scopes + + +@router.delete( + "/roles/{role_name}/scopes/{action}/{scope_type}/{scope_value}", + status_code=204, +) +async def delete_scope_from_role( + role_name: str, + action: ResourceAction, + scope_type: ResourceType, + scope_value: str, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), +) -> None: + """ + Remove a scope from a role using its composite key. + + Example: DELETE /roles/finance-editor/scopes/read/namespace/finance.* + """ + # Get role + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=False, + ) + + # Find the scope by composite key + delete_stmt = ( + sql_delete(RoleScope) + .where(RoleScope.role_id == role.id) + .where(RoleScope.action == action) + .where(RoleScope.scope_type == scope_type) + .where(RoleScope.scope_value == scope_value) + ) + + result = await session.execute(delete_stmt) + + if result.rowcount == 0: + raise DJDoesNotExistException( + message=f"Scope {action.value}:{scope_type.value}:{scope_value} not found for role '{role_name}'", + ) + + # Capture pre-state for audit + pre_state = { + "role_id": role.id, + "role_name": role.name, + "action": action.value, + "scope_type": scope_type.value, + "scope_value": scope_value, + } + + # Log activity for audit trail + await log_activity( + session=session, + entity_type=EntityType.ROLE_SCOPE, + entity_name=f"{role.name}:{action.value}:{scope_type.value}:{scope_value}", + activity_type=ActivityType.DELETE, + user=current_user.username, + pre=pre_state, + ) + + await session.commit() + + +# ============================================================================ +# Role Assignment Endpoints +# ============================================================================ + + +@router.post( + "/roles/{role_name}/assign", + response_model=RoleAssignmentOutput, + status_code=201, +) +async def assign_role_to_principal( + role_name: str, + assignment_data: RoleAssignmentCreate, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), +) -> RoleAssignment: + """ + Assign a role to a principal (user, service account, or group). + + Example: POST /roles/finance-editor/assign + Body: {"principal_username": "alice"} + """ + # Get the role + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=False, + ) + + # Check if principal exists + principal = await User.get_by_username( + session=session, + username=assignment_data.principal_username, + options=[], + ) + if not principal: + raise DJDoesNotExistException( + message=f"Principal '{assignment_data.principal_username}' not found", + ) + + # Check if assignment already exists + assignments = await RoleAssignment.find( + session, + principal_id=principal.id, + role_id=role.id, + ) + if assignments: + raise DJAlreadyExistsException( + message=f"Principal '{assignment_data.principal_username}' already has role '{role_name}'", + ) + + # Create assignment + assignment = RoleAssignment( + principal_id=principal.id, + role_id=role.id, + granted_by_id=current_user.id, + expires_at=assignment_data.expires_at, + ) + session.add(assignment) + await session.commit() + await session.refresh(assignment) + + # Log activity for audit trail + await log_activity( + session=session, + entity_type=EntityType.ROLE_ASSIGNMENT, + entity_name=f"{principal.username}:{role.name}", + activity_type=ActivityType.CREATE, + user=current_user.username, + post={ + "principal_id": assignment.principal_id, + "principal_username": principal.username, + "role_id": role.id, + "role_name": role.name, + "granted_by_id": current_user.id, + "expires_at": assignment.expires_at.isoformat() + if assignment.expires_at + else None, + }, + ) + await session.commit() + + return assignment + + +@router.get("/roles/{role_name}/assignments", response_model=List[RoleAssignmentOutput]) +async def list_role_assignments( + role_name: str, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), + limit: int = Query(default=100, le=500), + offset: int = Query(default=0, ge=0), +) -> List[RoleAssignment]: + """ + List all principals who have this role. + + Example: GET /roles/finance-editor/assignments + """ + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=False, + ) + + return await RoleAssignment.find( + session=session, + role_id=role.id, + limit=limit, + offset=offset, + ) + + +@router.delete("/roles/{role_name}/assignments/{principal_username}", status_code=204) +async def revoke_role_from_principal( + role_name: str, + principal_username: str, + *, + session: AsyncSession = Depends(get_session), + current_user: UserOutput = Depends(get_current_user), +) -> None: + """ + Revoke a role from a principal. + + Example: DELETE /roles/finance-editor/assignments/alice + + This removes the role from the principal but preserves the audit trail in History. + """ + # Get the role + role = await Role.get_by_name_or_raise( + session=session, + name=role_name, + include_deleted=False, + ) + + # Get the principal + principal = await User.get_by_username( + session=session, + username=principal_username, + options=[], + ) + if not principal: + raise DJDoesNotExistException( + message=f"Principal '{principal_username}' not found", + ) + + # Find the assignment + assignments = await RoleAssignment.find( + session=session, + principal_id=principal.id, + role_id=role.id, + ) + if not assignments: + raise DJDoesNotExistException( + message=f"Principal '{principal_username}' does not have role '{role_name}'", + ) + + # Capture pre-state for audit + assignment = assignments[0] + pre_state = { + "principal_id": assignment.principal_id, + "principal_username": assignment.principal.username, + "role_id": assignment.role_id, + "role_name": assignment.role.name, + "granted_by_id": assignment.granted_by_id, + "granted_at": assignment.granted_at.isoformat(), + } + + delete_stmt = sql_delete(RoleAssignment).where( + RoleAssignment.principal_id == principal.id, + RoleAssignment.role_id == role.id, + ) + await session.execute(delete_stmt) + + # Log activity for audit trail + await log_activity( + session=session, + entity_type=EntityType.ROLE_ASSIGNMENT, + entity_name=f"{assignment.principal.username}:{assignment.role.name}", + activity_type=ActivityType.DELETE, + user=current_user.username, + pre=pre_state, + details={"revoked_by_id": current_user.id}, + ) + + await session.commit() diff --git a/datajunction-server/datajunction_server/api/setup_logging.py b/datajunction-server/datajunction_server/api/setup_logging.py new file mode 100644 index 000000000..055738b74 --- /dev/null +++ b/datajunction-server/datajunction_server/api/setup_logging.py @@ -0,0 +1,7 @@ +from logging import config +from os import path + +config.fileConfig( + path.join(path.dirname(path.abspath(__file__)), "logging.conf"), + disable_existing_loggers=False, +) diff --git a/datajunction-server/datajunction_server/api/sql.py b/datajunction-server/datajunction_server/api/sql.py new file mode 100644 index 000000000..2b9bac7ca --- /dev/null +++ b/datajunction-server/datajunction_server/api/sql.py @@ -0,0 +1,594 @@ +""" +SQL related APIs. +""" + +import logging +from http import HTTPStatus +from typing import List, Optional + +from fastapi import BackgroundTasks, Depends, Query, Request +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.utils import get_current_user +from datajunction_server.construction.build_v3 import ( + build_combiner_sql, + build_metrics_sql, + build_measures_sql, + resolve_dialect_and_engine_for_metrics, +) +from datajunction_server.construction.build_v3.combiners import ( + build_combiner_sql_from_preaggs, +) +from datajunction_server.models.dialect import Dialect +from datajunction_server.sql.parsing import ast + +from datajunction_server.internal.caching.cachelib_cache import get_cache +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.internal.caching.query_cache_manager import ( + QueryCacheManager, + QueryRequestParams, +) +from datajunction_server.internal.caching.cachelib_cache import get_cache +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.database import Node +from datajunction_server.database.user import User +from datajunction_server.database.queryrequest import QueryBuildType +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.models.metric import TranslatedSQL, V3TranslatedSQL +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.query import V3ColumnMetadata +from datajunction_server.models.sql import ( + CombinedMeasuresSQLResponse, + ComponentResponse, + GrainGroupResponse, + MeasuresSQLResponse, + MetricFormulaResponse, +) +from datajunction_server.models.sql import GeneratedSQL +from datajunction_server.utils import ( + get_session, + get_settings, +) + +_logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["sql"]) + + +@router.get( + "/sql/measures/v2/", + response_model=List[GeneratedSQL], + name="Get Measures SQL", +) +async def get_measures_sql_for_cube_v2( + metrics: List[str] = Query([]), + dimensions: List[str] = Query([]), + filters: List[str] = Query([]), + orderby: List[str] = Query([]), + preaggregate: bool = Query( + False, + description=( + "Whether to pre-aggregate to the requested dimensions so that " + "subsequent queries are more efficient." + ), + ), + query_params: str = Query("{}", description="Query parameters"), + *, + include_all_columns: bool = Query( + False, + description=( + "Whether to include all columns or only those necessary " + "for the metrics and dimensions in the cube" + ), + ), + cache: Cache = Depends(get_cache), + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + use_materialized: bool = True, + background_tasks: BackgroundTasks, + request: Request, +) -> List[GeneratedSQL]: + """ + Return measures SQL for a set of metrics with dimensions and filters. + + The measures query can be used to produce intermediate table(s) with all the measures + and dimensions needed prior to applying specific metric aggregations. + + This endpoint returns one SQL query per upstream node of the requested metrics. + For example, if some of your metrics are aggregations on measures in parent node A + and others are aggregations on measures in parent node B, this endpoint will generate + two measures queries, one for A and one for B. + """ + query_cache_manager = QueryCacheManager( + cache=cache, + query_type=QueryBuildType.MEASURES, + ) + return await query_cache_manager.get_or_load( + background_tasks, + request, + QueryRequestParams( + nodes=metrics, + dimensions=dimensions, + filters=filters, + engine_name=engine_name, + engine_version=engine_version, + orderby=orderby, + query_params=query_params, + include_all_columns=include_all_columns, + preaggregate=preaggregate, + use_materialized=use_materialized, + ), + ) + + +@router.get( + "/sql/{node_name}/", + response_model=TranslatedSQL, + name="Get SQL For A Node", +) +async def get_sql( + node_name: str, + dimensions: List[str] = Query([]), + filters: List[str] = Query([]), + orderby: List[str] = Query([]), + limit: Optional[int] = None, + query_params: str = Query("{}", description="Query parameters"), + *, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + background_tasks: BackgroundTasks, + ignore_errors: Optional[bool] = True, + use_materialized: Optional[bool] = True, + cache: Cache = Depends(get_cache), + request: Request, +) -> TranslatedSQL: + """ + Return SQL for a node. + """ + query_cache_manager = QueryCacheManager( + cache=cache, + query_type=QueryBuildType.NODE, + ) + return await query_cache_manager.get_or_load( + background_tasks, + request, + QueryRequestParams( + nodes=[node_name], + dimensions=dimensions, + filters=filters, + orderby=orderby, + limit=limit, + query_params=query_params, + engine_name=engine_name, + engine_version=engine_version, + use_materialized=use_materialized, + ignore_errors=ignore_errors, + ), + ) + + +@router.get( + "/sql/measures/v3/", + response_model=MeasuresSQLResponse, + name="Get Measures SQL V3", + tags=["sql", "v3"], +) +async def get_measures_sql_v3( + metrics: List[str] = Query([]), + dimensions: List[str] = Query([]), + filters: List[str] = Query([]), + use_materialized: bool = Query(True), + dialect: Dialect = Query( + Dialect.SPARK, + description="SQL dialect for the generated query.", + ), + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> MeasuresSQLResponse: + """ + Generate pre-aggregated measures SQL for the requested metrics. + + Measures SQL represents the first stage of metric computation - it decomposes + each metric into its atomic aggregation components (e.g., SUM(amount), COUNT(*)) + and produces SQL that computes these components at the requested dimensional grain. + + Metrics are separated into grain groups, which represent sets of metrics that can be + computed together at a common grain. Each grain group produces its own SQL query, which + can be materialized independently to produce intermediate tables that are then queried + to compute final metric values. + + Returns: + One or more `GrainGroupSQL` objects, each containing: + - SQL query computing metric components at the specified grain + - Column metadata with semantic types + - Component details for downstream re-aggregation + + Args: + use_materialized: If True (default), use materialized tables when available. + Set to False when generating SQL for materialization refresh to avoid + circular references. + + See also: `/sql/metrics/v3/` for the final combined query with metric expressions. + """ + result = await build_measures_sql( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters, + dialect=dialect, + use_materialized=use_materialized, + ) + + # Build a unified component_aliases map from all grain groups + # This maps component hash names -> actual SQL column aliases + all_component_aliases: dict[str, str] = {} + for gg in result.grain_groups: + all_component_aliases.update(gg.component_aliases) + + # Build metric formulas from decomposed metrics + metric_formulas = [] + for metric_name, decomposed in result.decomposed_metrics.items(): + # Get the combiner expression and rewrite component names to actual SQL aliases + from copy import deepcopy + + combiner_ast = deepcopy(decomposed.derived_ast.select.projection[0]) + + # Replace component hash names with actual SQL aliases in the combiner + for col in combiner_ast.find_all(ast.Column): + col_name = col.name.name if col.name else None + if col_name and col_name in all_component_aliases: + col.name = ast.Name(all_component_aliases[col_name]) + col._table = None + + combiner_str = str(combiner_ast) + + # Determine parent node name from the first grain group that contains this metric + parent_name = None + for gg in result.grain_groups: + if metric_name in gg.metrics: + parent_name = gg.parent_name + break + + # Check if this is a derived metric (references other metrics) + parent_names = result.ctx.parent_map.get(metric_name, []) + is_derived = decomposed.is_derived_for_parents( + parent_names, + result.ctx.nodes, + ) + + # Get component column names as they appear in SQL + # Use the unified component_aliases to resolve hash names -> actual aliases + component_names = [ + all_component_aliases.get(comp.name, comp.name) + for comp in decomposed.components + ] + + metric_formulas.append( + MetricFormulaResponse( + name=metric_name, + short_name=metric_name.split(".")[-1], + query=decomposed.metric_node.current.query, + combiner=combiner_str, + components=component_names, + is_derived=is_derived, + parent_name=parent_name, + ), + ) + + return MeasuresSQLResponse( + grain_groups=[ + GrainGroupResponse( + sql=gg.sql, + columns=[ + V3ColumnMetadata( + name=col.name, + type=str(col.type), # Ensure string even if ColumnType object + semantic_name=col.semantic_name, + semantic_type=col.semantic_type, + ) + for col in gg.columns + ], + grain=gg.grain, + aggregability=gg.aggregability.value + if hasattr(gg.aggregability, "value") + else str(gg.aggregability), + metrics=gg.metrics, + components=[ + ComponentResponse( + # Use actual SQL alias (metric short name for single-component, hash for multi) + name=gg.component_aliases.get(comp.name, comp.name), + expression=comp.expression, + aggregation=comp.aggregation, + merge=comp.merge, + aggregability=comp.rule.type.value + if hasattr(comp.rule.type, "value") + else str(comp.rule.type), + ) + for comp in gg.components + ], + parent_name=gg.parent_name, + ) + for gg in result.grain_groups + ], + metric_formulas=metric_formulas, + dialect=str(result.dialect) if result.dialect else None, + requested_dimensions=result.requested_dimensions, + ) + + +@router.get( + "/sql/measures/v3/combined", + response_model=CombinedMeasuresSQLResponse, + name="Get Combined Measures SQL V3", + tags=["sql", "v3"], +) +async def get_combined_measures_sql_v3( + metrics: List[str] = Query([]), + dimensions: List[str] = Query([]), + filters: List[str] = Query([]), + use_preagg_tables: bool = Query( + False, + description=( + "If False (default), compute from scratch using source tables. " + "If True, compute from pre-aggregation tables" + ), + ), + dialect: Dialect = Query( + Dialect.SPARK, + description="SQL dialect for the generated query.", + ), + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> CombinedMeasuresSQLResponse: + """ + Generate combined pre-aggregated measures SQL for the requested metrics. + + This endpoint combines multiple grain groups into a single SQL query using + FULL OUTER JOIN on shared dimensions. Dimension columns are wrapped with + COALESCE to handle NULLs from non-matching rows. + + This is useful for: + - Druid cube materialization where a single combined table is needed + - Simplifying downstream queries that need data from multiple fact tables + - Pre-computing joined aggregations for dashboards + + The combined SQL contains: + - CTEs for each grain group's pre-aggregated data + - FULL OUTER JOIN between grain groups on shared dimensions + - COALESCE on dimension columns to handle NULL values + - All measure columns from all grain groups + + Args: + metrics: List of metric names to include + dimensions: List of dimensions to group by (the grain) + filters: Optional filters to apply + use_preagg_tables: If False (default), compute from scratch using source tables. + If True, read from pre-aggregation tables. + + Returns: + Combined SQL query with column metadata and grain information. + + See also: + - `/sql/measures/v3/` for individual grain group queries + - `/sql/metrics/v3/` for final metric computations with combiner expressions + """ + if use_preagg_tables: + # Generate SQL that reads from pre-agg tables (deterministic names) + ( + combined_result, + source_tables, + _, + ) = await build_combiner_sql_from_preaggs( # pragma: no cover + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters, + dialect=dialect, + ) + else: + # Build the measures SQL to get grain groups (compute from scratch) + result = await build_measures_sql( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters, + dialect=dialect, + use_materialized=False, # Don't use materialized - compute from source + ) + + if not result.grain_groups: + raise DJInvalidInputException( # pragma: no cover + message="No grain groups generated. Ensure metrics and dimensions are valid.", + http_status_code=HTTPStatus.BAD_REQUEST, + ) + + # Combine the grain groups using the combiner logic + combined_result = build_combiner_sql(result.grain_groups) + + # Collect source tables from grain groups + # These are the upstream tables used in the queries + source_tables = [] + for gg in result.grain_groups: + # Extract table references from the query + source_tables.append(gg.parent_name) + + return CombinedMeasuresSQLResponse( + sql=combined_result.sql, + columns=[ + V3ColumnMetadata( + name=col.name, + type=col.type, + semantic_name=col.semantic_name, + semantic_type=col.semantic_type, + ) + for col in combined_result.columns + ], + grain=combined_result.shared_dimensions, + grain_groups_combined=combined_result.grain_groups_combined, + dialect=str(dialect), + use_preagg_tables=use_preagg_tables, + source_tables=source_tables, + ) + + +@router.get( + "/sql/metrics/v3/", + response_model=V3TranslatedSQL, + name="Get Metrics SQL V3", + tags=["sql", "v3"], +) +async def get_metrics_sql_v3( + metrics: List[str] = Query([]), + dimensions: List[str] = Query([]), + filters: List[str] = Query([]), + orderby: List[str] = Query( + [], + description="ORDER BY clauses using semantic names (e.g., 'v3.total_revenue DESC', 'v3.date.month')", + ), + limit: Optional[int] = Query( + None, + description="Maximum number of rows to return", + ), + use_materialized: bool = Query(True), + dialect: Optional[Dialect] = Query( + None, + description="SQL dialect for the generated query. If not specified, " + "auto-resolves based on cube availability (same logic as /data/).", + ), + *, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> V3TranslatedSQL: + """ + Generate final metrics SQL with fully computed metric expressions for the + requested metrics, dimensions, and filters using the specified dialect. + + Metrics SQL is the second (and final) stage of metric computation - it takes + the pre-aggregated components from Measures SQL and applies combiner expressions + to produce the actual metric values requested. + + - Metric components are re-aggregated as needed to match the requested + dimensional grain. + + - Derived metrics (defined as expressions over other metrics) + (e.g., `conversion_rate = order_count / visitor_count`) are computed by + substituting component references with their re-aggregated expressions. + + - When metrics come from different fact tables, their + grain groups are FULL OUTER JOINed on the common dimensions, with COALESCE + for dimension columns to handle NULLs from non-matching rows. + + - Dimension references in metric expressions are resolved to their + final column aliases. + + Args: + metrics: List of metric names to include + dimensions: List of dimensions to group by (the grain) + filters: Optional filters to apply + dialect: SQL dialect for the generated query. If not specified, auto-resolves + based on cube availability (uses Druid if cube exists, else metric's catalog). + use_materialized: If True (default), use materialized tables when available. + Set to False when generating SQL for materialization refresh to avoid + circular references. + """ + # Auto-resolve dialect if not explicitly provided + resolved_dialect = dialect + if resolved_dialect is None: # pragma: no branch + execution_ctx = await resolve_dialect_and_engine_for_metrics( + session=session, + metrics=metrics, + dimensions=dimensions, + use_materialized=use_materialized, + ) + resolved_dialect = execution_ctx.dialect + _logger.info( + "[/sql/metrics/v3/] Auto-resolved dialect=%s for metrics=%s", + resolved_dialect, + metrics, + ) + + result = await build_metrics_sql( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters, + orderby=orderby if orderby else None, + limit=limit, + dialect=resolved_dialect, + use_materialized=use_materialized, + ) + + return V3TranslatedSQL( + sql=result.sql, + columns=[ + V3ColumnMetadata( + name=col.name, + type=str(col.type), # Ensure string even if ColumnType object + semantic_name=col.semantic_name, + semantic_type=col.semantic_type, + ) + for col in result.columns + ], + dialect=result.dialect, + cube_name=result.cube_name, + ) + + +@router.get("/sql/", response_model=TranslatedSQL, name="Get SQL For Metrics") +async def get_sql_for_metrics( + metrics: List[str] = Query([]), + dimensions: List[str] = Query([]), + filters: List[str] = Query([]), + orderby: List[str] = Query([]), + limit: Optional[int] = None, + query_params: str = Query("{}", description="Query parameters"), + *, + session: AsyncSession = Depends(get_session), + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + ignore_errors: Optional[bool] = True, + use_materialized: Optional[bool] = True, + background_tasks: BackgroundTasks, + cache: Cache = Depends(get_cache), + request: Request, +) -> TranslatedSQL: + """ + Return SQL for a set of metrics with dimensions and filters + """ + # make sure all metrics exist and have correct node type + nodes = [ + await Node.get_by_name(session, node, raise_if_not_exists=True) + for node in metrics + ] + non_metric_nodes = [node for node in nodes if node and node.type != NodeType.METRIC] + + if non_metric_nodes: + raise DJInvalidInputException( + message="All nodes must be of metric type, but some are not: " + f"{', '.join([f'{n.name} ({n.type})' for n in non_metric_nodes])} .", + http_status_code=HTTPStatus.UNPROCESSABLE_ENTITY, + ) + + query_cache_manager = QueryCacheManager( + cache=cache, + query_type=QueryBuildType.METRICS, + ) + return await query_cache_manager.get_or_load( + background_tasks, + request, + QueryRequestParams( + nodes=metrics, + dimensions=dimensions, + filters=filters, + limit=limit, + orderby=orderby, + query_params=query_params, + engine_name=engine_name, + engine_version=engine_version, + use_materialized=use_materialized, + ignore_errors=ignore_errors, + ), + ) diff --git a/datajunction-server/datajunction_server/api/system.py b/datajunction-server/datajunction_server/api/system.py new file mode 100644 index 000000000..835cb1d85 --- /dev/null +++ b/datajunction-server/datajunction_server/api/system.py @@ -0,0 +1,133 @@ +""" +Router for various system overview metrics +""" + +import logging +from fastapi import BackgroundTasks, Depends, Query, Request +from sqlalchemy import select, text +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.models.system import DimensionStats, RowOutput +from datajunction_server.sql.dag import ( + get_cubes_using_dimensions, + get_dimension_dag_indegree, +) +from datajunction_server.internal.caching.cachelib_cache import get_cache +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.database.node import Node +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.models.node_type import NodeType +from datajunction_server.utils import ( + get_session, + get_settings, +) +from datajunction_server.internal.caching.query_cache_manager import ( + QueryCacheManager, + QueryRequestParams, + QueryBuildType, +) +from datajunction_server.models.sql import GeneratedSQL + +logger = logging.getLogger(__name__) +settings = get_settings() +router = SecureAPIRouter(tags=["System"]) + + +@router.get("/system/metrics") +async def list_system_metrics( + session: AsyncSession = Depends(get_session), +): + """ + Returns a list of DJ system metrics (available as metric nodes in DJ). + """ + metrics = await Node.find_by( + session=session, + namespace=settings.seed_setup.system_namespace, + node_types=[NodeType.METRIC], + ) + return [m.name for m in metrics] + + +@router.get("/system/data/{metric_name}") +async def get_data_for_system_metric( + metric_name: str, + dimensions: list[str] = Query([]), + filters: list[str] = Query([]), + orderby: list[str] = Query([]), + limit: int | None = None, + session: AsyncSession = Depends(get_session), + *, + background_tasks: BackgroundTasks, + cache: Cache = Depends(get_cache), + request: Request, +) -> list[list[RowOutput]]: + """ + This is not a generic data for metrics endpoint, but rather a specific endpoint for + system overview metrics that are automatically defined by DJ, such as the number of nodes. + This endpoint will return data for any system metric, cut by their available dimensions + and filters. + + This setup circumvents going to the query service to get metric data, since all system + metrics can be computed directly from the database. + + For a list of available system metrics, see the `/system/metrics` endpoint. All dimensions + for the metric can be discovered through the usual endpoints. + """ + query_cache_manager = QueryCacheManager(cache=cache, query_type=QueryBuildType.NODE) + # e.g., "system.dj.number_of_nodes" + translated_sql: GeneratedSQL = await query_cache_manager.get_or_load( + background_tasks, + request, + QueryRequestParams( + nodes=[metric_name], + dimensions=dimensions, + filters=filters, + orderby=orderby, + limit=limit, + ), + ) + results = await session.execute(text(translated_sql.sql)) + output = [ + [ + RowOutput( + value=value, + col=col.semantic_entity + if col.semantic_type == "dimension" + else col.node, + ) + for value, col in zip(row, translated_sql.columns) # type: ignore + ] + for row in results + ] + return output + + +@router.get("/system/dimensions", response_model=list[DimensionStats]) +async def get_dimensions_stats( + session: AsyncSession = Depends(get_session), +) -> list[DimensionStats]: + """ + List dimensions statistics, including the indegree of the dimension in the DAG + and the number of cubes that use the dimension. + """ + find_available_dimensions = select(Node.name).where( + Node.type == NodeType.DIMENSION, + Node.deactivated_at.is_(None), + ) + dimension_node_names = [ + row.name for row in await session.execute(find_available_dimensions) + ] + + node_indegrees = await get_dimension_dag_indegree(session, dimension_node_names) + cubes_using_dims = await get_cubes_using_dimensions(session, dimension_node_names) + return sorted( + [ + DimensionStats( + name=dim, + indegree=node_indegrees.get(dim, 0), + cube_count=cubes_using_dims.get(dim, 0), + ) + for dim in dimension_node_names + ], + key=lambda stats: -stats.indegree, + ) diff --git a/datajunction-server/datajunction_server/api/tags.py b/datajunction-server/datajunction_server/api/tags.py new file mode 100644 index 000000000..230b1e398 --- /dev/null +++ b/datajunction-server/datajunction_server/api/tags.py @@ -0,0 +1,229 @@ +""" +Tag related APIs. +""" + +from typing import Callable, List, Optional + +from fastapi import Depends +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload + +from datajunction_server.api.helpers import get_save_history +from datajunction_server.database import Node +from datajunction_server.database.history import History +from datajunction_server.database.tag import Tag +from datajunction_server.database.user import User +from datajunction_server.errors import DJAlreadyExistsException, DJDoesNotExistException +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.models.node import NodeMinimumDetail +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.tag import CreateTag, TagOutput, UpdateTag +from datajunction_server.utils import ( + get_current_user, + get_session, + get_settings, +) + +settings = get_settings() +router = SecureAPIRouter(tags=["tags"]) + + +async def get_tags_by_name( + session: AsyncSession, + names: List[str], +) -> List[Tag]: + """ + Retrieves a list of tags by name + """ + statement = select(Tag).where(Tag.name.in_(names)) # type: ignore + tags = (await session.execute(statement)).scalars().all() + difference = set(names) - {tag.name for tag in tags} + if difference: + raise DJDoesNotExistException( + message=f"Tags not found: {', '.join(difference)}", + ) + return tags + + +async def get_tag_by_name( + session: AsyncSession, + name: str, + raise_if_not_exists: bool = False, + for_update: bool = False, +): + """ + Retrieves a tag by its name. + """ + statement = select(Tag).where(Tag.name == name) + if for_update: + statement = statement.with_for_update().execution_options( + populate_existing=True, + ) + tag = (await session.execute(statement)).scalars().one_or_none() + if not tag and raise_if_not_exists: + raise DJDoesNotExistException( # pragma: no cover + message=(f"A tag with name `{name}` does not exist."), + http_status_code=404, + ) + return tag + + +@router.get("/tags/", response_model=List[TagOutput]) +async def list_tags( + tag_type: Optional[str] = None, + *, + session: AsyncSession = Depends(get_session), +) -> List[TagOutput]: + """ + List all available tags. + """ + statement = select( + Tag.name, + Tag.tag_type, + Tag.description, + Tag.display_name, + Tag.tag_metadata, + ) + if tag_type: + statement = statement.where(Tag.tag_type == tag_type) + result = await session.execute(statement) + return [ + TagOutput( + name=tag[0], + tag_type=tag[1], + description=tag[2], + display_name=tag[3], + tag_metadata=tag[4], + ) + for tag in result.all() + ] + + +@router.get("/tags/{name}/", response_model=TagOutput) +async def get_a_tag( + name: str, + *, + session: AsyncSession = Depends(get_session), +) -> TagOutput: + """ + Return a tag by name. + """ + tag = await get_tag_by_name(session, name, raise_if_not_exists=True) + return tag + + +@router.post("/tags/", response_model=TagOutput, status_code=201) +async def create_a_tag( + data: CreateTag, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), +) -> TagOutput: + """ + Create a tag. + """ + tag = await get_tag_by_name(session, data.name, raise_if_not_exists=False) + if tag: + raise DJAlreadyExistsException( + message=f"A tag with name `{data.name}` already exists!", + http_status_code=500, + ) + tag = Tag( + name=data.name, + tag_type=data.tag_type, + description=data.description, + display_name=data.display_name, + tag_metadata=data.tag_metadata, + created_by_id=current_user.id, + ) + session.add(tag) + await save_history( + event=History( + entity_type=EntityType.TAG, + entity_name=tag.name, + activity_type=ActivityType.CREATE, + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(tag) + return tag + + +@router.patch("/tags/{name}/", response_model=TagOutput) +async def update_a_tag( + name: str, + data: UpdateTag, + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), + save_history: Callable = Depends(get_save_history), +) -> TagOutput: + """ + Update a tag. + """ + tag = await get_tag_by_name( + session, + name, + raise_if_not_exists=True, + for_update=True, + ) + + if data.description: + tag.description = data.description + if data.tag_metadata: + tag.tag_metadata = data.tag_metadata + if data.display_name: + tag.display_name = data.display_name + session.add(tag) + await save_history( + event=History( + entity_type=EntityType.TAG, + entity_name=tag.name, + activity_type=ActivityType.UPDATE, + details=data.model_dump(), + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(tag) + return tag + + +@router.get("/tags/{name}/nodes/", response_model=List[NodeMinimumDetail]) +async def list_nodes_for_a_tag( + name: str, + node_type: Optional[NodeType] = None, + *, + session: AsyncSession = Depends(get_session), +) -> List[NodeMinimumDetail]: + """ + Find nodes tagged with the tag, filterable by node type. + """ + statement = ( + select(Tag) + .where(Tag.name == name) + .options(joinedload(Tag.nodes).options(joinedload(Node.current))) + ) + tag = (await session.execute(statement)).unique().scalars().one_or_none() + if not tag: + raise DJDoesNotExistException( + message=f"A tag with name `{name}` does not exist.", + http_status_code=404, + ) + if not node_type: + return sorted( + [node.current for node in tag.nodes if not node.deactivated_at], + key=lambda x: x.name, + ) + return sorted( + [ + node.current + for node in tag.nodes + if node.type == node_type and not node.deactivated_at + ], + key=lambda x: x.name, + ) diff --git a/datajunction-server/datajunction_server/api/users.py b/datajunction-server/datajunction_server/api/users.py new file mode 100644 index 000000000..3af279a69 --- /dev/null +++ b/datajunction-server/datajunction_server/api/users.py @@ -0,0 +1,90 @@ +""" +User related APIs. +""" + +from typing import List, Union + +from fastapi import Depends, Query +from sqlalchemy import distinct, func, select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload + +from datajunction_server.database.column import Column +from datajunction_server.database.history import History +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.internal.access.authentication.http import SecureAPIRouter +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.models.node import NodeMinimumDetail +from datajunction_server.models.user import UserActivity +from datajunction_server.utils import get_session, get_settings + +settings = get_settings() +router = SecureAPIRouter(tags=["users"]) + + +@router.get("/users/{username}", response_model=List[NodeMinimumDetail]) +async def list_nodes_by_username( + username: str, + *, + session: AsyncSession = Depends(get_session), + activity_types: List[str] = Query([ActivityType.CREATE, ActivityType.UPDATE]), +) -> List[NodeMinimumDetail]: + """ + List all nodes with the specified activity type(s) by the user + """ + statement = select(distinct(History.entity_name)).where( + (History.user == username) + & (History.entity_type == EntityType.NODE) + & (History.activity_type.in_(activity_types)), + ) + result = await session.execute(statement) + nodes = await Node.get_by_names( + session=session, + names=list(set(result.scalars().all())), + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.cube_elements) + .selectinload(Column.node_revision) + .options( + selectinload(NodeRevision.node), + ), + ), + ], + ) + return [node.current for node in nodes] + + +@router.get("/users", response_model=List[Union[str, UserActivity]]) +async def list_users_with_activity( + session: AsyncSession = Depends(get_session), + *, + with_activity: bool = False, +) -> List[Union[str, UserActivity]]: + """ + Lists all users. The endpoint will include user activity counts if the + `with_activity` flag is set to true. + """ + if not with_activity: + statement = select(User.username) + result = await session.execute(statement) + return result.scalars().all() + + statement = ( + select( + User.username, + func.count(History.id).label("count"), + ) + .join( + History, + onclause=(User.username == History.user), + isouter=True, + ) + .group_by(User.username) + .order_by(func.count(History.id).desc()) + ) + result = await session.execute(statement) + return [ + UserActivity(username=user_activity[0], count=user_activity[1]) + for user_activity in result.all() + ] diff --git a/datajunction-server/datajunction_server/config.py b/datajunction-server/datajunction_server/config.py new file mode 100644 index 000000000..dac240dad --- /dev/null +++ b/datajunction-server/datajunction_server/config.py @@ -0,0 +1,221 @@ +""" +Configuration for the datajunction server. +""" + +import urllib.parse +from datetime import timedelta +from pathlib import Path +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +from cachelib.base import BaseCache +from cachelib.file import FileSystemCache +from cachelib.redis import RedisCache +from celery import Celery +from pydantic import BaseModel, Field +from pydantic_settings import BaseSettings + +if TYPE_CHECKING: + pass + + +class DatabaseConfig(BaseModel): + """ + Metadata database configuration. + """ + + uri: str + pool_size: int = 20 + max_overflow: int = 100 + pool_timeout: int = 10 + pool_recycle: int = 300 + connect_timeout: int = 5 + pool_pre_ping: bool = True + echo: bool = False + keepalives: int = 1 + keepalives_idle: int = 30 + keepalives_interval: int = 10 + keepalives_count: int = 5 + + +class QueryClientConfig(BaseModel): + """ + Configuration for query service clients. + """ + + # Type of query client: 'http', 'snowflake', 'bigquery', 'databricks', 'trino', etc. + type: str = "http" + + # Connection parameters (varies by client type) + connection: Dict[str, Any] = Field(default_factory=dict) + + # Number of retries for failed requests (mainly for HTTP client) + retries: int = 0 + + +class SeedSetup(BaseModel): + # A "default" catalog for nodes that are pure SQL and don't belong in any + # particular catalog. This typically applies to on-the-fly user-defined dimensions. + virtual_catalog_name: str = "default" + + # A "DJ System" catalog that contains all system tables modeled in DJ + system_catalog_name: str = "dj_metadata" + + # The engine for DJ's postgres metadata db + system_engine_name: str = "dj_system" + + # The namespace for system tables modeled in DJ + system_namespace: str = "system.dj" + + +class Settings(BaseSettings): # pragma: no cover + """ + DataJunction configuration. + """ + + model_config = {"env_nested_delimiter": "__"} # Enables nesting like WRITER_DB__URI + + name: str = "DJ server" + description: str = "A DataJunction metrics layer" + url: str = "http://localhost:8000/" + + # A list of hostnames that are allowed to make cross-site HTTP requests + cors_origin_whitelist: List[str] = ["http://localhost:3000"] + + # Config for the metadata database, with support for writer and reader clusters + # `writer_db` is the primary database used for write operations + # [optional] `reader_db` is used for read operations and defaults to `writer_db` + # if no dedicated read replica is configured. + writer_db: DatabaseConfig = DatabaseConfig( + uri="postgresql+psycopg://dj:dj@postgres_metadata:5432/dj", + ) + reader_db: DatabaseConfig = writer_db + + # Directory where the repository lives. This should have 2 subdirectories, "nodes" and + # "databases". + repository: Path = Path(".") + + # Where to store the results from queries. + results_backend: BaseCache = FileSystemCache("/tmp/dj", default_timeout=0) + + # Cache for paginating results and potentially other things. + redis_cache: Optional[str] = None + paginating_timeout: timedelta = timedelta(minutes=5) + + # Configure Celery for async requests. If not configured async queries will be + # executed using FastAPI's ``BackgroundTasks``. + celery_broker: Optional[str] = None + + # How long to wait when pinging databases to find out the fastest online database. + do_ping_timeout: timedelta = timedelta(seconds=5) + + # Query service url (only used with "http" query client config) + # TODO: once the `QueryClientConfig` is proven out, this can be removed. + query_service: Optional[str] = None + + # Query client configuration + query_client: QueryClientConfig = Field(default_factory=QueryClientConfig) + + # The namespace where source nodes for registered tables should exist + source_node_namespace: Optional[str] = "source" + + # This specifies what the DJ_LOGICAL_TIMESTAMP() macro should be replaced with. + # This defaults to an Airflow compatible value, but other examples include: + # ${dj_logical_timestamp} + # {{ dj_logical_timestamp }} + # $dj_logical_timestamp + dj_logical_timestamp_format: Optional[str] = "${dj_logical_timestamp}" + + # DJ UI host, used for OAuth redirection + frontend_host: Optional[str] = "http://localhost:3000" + + # Enabled transpilation plugin names + transpilation_plugins: List[str] = ["default", "sqlglot"] + + # 128 bit DJ secret, used to encrypt passwords and JSON web tokens + secret: str = "a-fake-secretkey" + + # GitHub OAuth application client ID + github_oauth_client_id: Optional[str] = None + + # GitHub OAuth application client secret + github_oauth_client_secret: Optional[str] = None + + # Google OAuth application client ID + google_oauth_client_id: Optional[str] = None + + # Google OAuth application client secret + google_oauth_client_secret: Optional[str] = None + + # Google OAuth application client secret file + google_oauth_client_secret_file: Optional[str] = None + + # Interval in seconds for which to expire service account tokens + service_account_token_expire: int = 3600 * 24 * 30 + + # Group membership provider + # Options: "postgres" (uses group_members table), "static" (no membership), + # or a custom implementation of the GroupMembershipProvider interface + group_membership_provider: str = "postgres" + + # Authorization configuration + # Provider for authorization checks: + # - "rbac": Role-based access control (default) + # - "passthrough": Always approve (testing/development) + # - Custom implementations can be plugged in + authorization_provider: str = "rbac" + + # Default access policy when no explicit RBAC rule exists: + # - "permissive": Allow by default + # - "restrictive": Deny by default + default_access_policy: str = "permissive" # or "restrictive" + + # Interval in seconds with which to expire caching of any indexes + index_cache_expire: int = 60 + + # Cache expiration for SQL endpoints + query_cache_timeout: int = 86400 * 300 + + # Maximum amount of nodes to return for requests to list all nodes + node_list_max: int = 10000 + + # DAG traversal configuration + fanout_threshold: int = 50 + max_concurrency: int = 20 + + # Pre-aggregation output location + # Used when generating combined SQL that references pre-agg tables + preagg_catalog: str = "default" + preagg_schema: str = "dj_preaggs" + + @property + def celery(self) -> Celery: + """ + Return Celery app. + """ + return Celery(__name__, broker=self.celery_broker) + + @property + def cache(self) -> Optional[BaseCache]: + """ + Configure the Redis cache. + """ + if self.redis_cache is None: + return None + + parsed = urllib.parse.urlparse(self.redis_cache) + return RedisCache( + host=parsed.hostname, + port=parsed.port, + password=parsed.password, + db=parsed.path.strip("/"), + ) + + seed_setup: SeedSetup = SeedSetup() + + @property + def effective_reader_concurrency(self) -> int: + return max(1, self.reader_db.pool_size // 2) + + @property + def effective_writer_concurrency(self) -> int: + return max(1, self.writer_db.pool_size // 2) diff --git a/datajunction-server/datajunction_server/constants.py b/datajunction-server/datajunction_server/constants.py new file mode 100644 index 000000000..0ffdfb9be --- /dev/null +++ b/datajunction-server/datajunction_server/constants.py @@ -0,0 +1,20 @@ +""" +Useful constants. +""" + +from datetime import timedelta +from uuid import UUID + +DJ_DATABASE_ID = 0 +DJ_DATABASE_UUID = UUID("594804bf-47cb-426c-83c4-94a348e95972") +SQLITE_DATABASE_ID = -1 +SQLITE_DATABASE_UUID = UUID("3619eeba-d628-4ab1-9dd5-65738ab3c02f") + +DEFAULT_DIMENSION_COLUMN = "id" + +# used by the SQLAlchemy client +QUERY_EXECUTE_TIMEOUT = timedelta(seconds=60) +GET_COLUMNS_TIMEOUT = timedelta(seconds=60) + +AUTH_COOKIE = "__dj" +LOGGED_IN_FLAG_COOKIE = "__djlif" diff --git a/datajunction-server/datajunction_server/construction/__init__.py b/datajunction-server/datajunction_server/construction/__init__.py new file mode 100755 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/construction/build.py b/datajunction-server/datajunction_server/construction/build.py new file mode 100755 index 000000000..6344214f5 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build.py @@ -0,0 +1,398 @@ +"""Functions for building DJ node queries""" + +import asyncio +import collections +import logging +from typing import Any, DefaultDict, List, Optional, Set, Tuple + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database import Engine +from datajunction_server.database.column import Column +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.errors import DJError, DJInvalidInputException, ErrorCode +from datajunction_server.internal.engines import get_engine +from datajunction_server.internal.access.authorization import AccessChecker +from datajunction_server.models.cube_materialization import MetricComponent +from datajunction_server.models.engine import Dialect +from datajunction_server.models.materialization import GenericCubeConfig +from datajunction_server.models.node import BuildCriteria +from datajunction_server.naming import LOOKUP_CHARS, amenable_name, from_amenable_name +from datajunction_server.sql.dag import get_shared_dimensions, get_metric_parents +from datajunction_server.sql.decompose import MetricComponentExtractor +from datajunction_server.sql.parsing.backends.antlr4 import ast, parse +from datajunction_server.sql.parsing.types import ColumnType +from datajunction_server.utils import SEPARATOR + +_logger = logging.getLogger(__name__) + + +def get_default_criteria( + node: NodeRevision, + engine: Optional[Engine] = None, +) -> BuildCriteria: + """ + Get the default build criteria for a node. + """ + # Set the dialect by using the provided engine, if any. If no engine is specified, + # set the dialect by finding available engines for this node, or default to Spark + dialect = ( + engine.dialect + if engine + else ( + node.catalog.engines[0].dialect + if node.catalog and node.catalog.engines and node.catalog.engines[0].dialect + else Dialect.SPARK + ) + ) + return BuildCriteria( + dialect=dialect, + target_node_name=node.name, + ) + + +def rename_columns( + built_ast: ast.Query, + node: NodeRevision, + preaggregate: bool = False, +): + """ + Rename columns in the built ast to fully qualified column names. + """ + projection = [] + node_columns = {col.name for col in node.columns} + for expression in built_ast.select.projection: + if hasattr(expression, "semantic_entity") and expression.semantic_entity: # type: ignore + # If the expression already has a semantic entity, we assume it is already + # fully qualified and skip renaming. + projection.append(expression) + expression.set_alias(ast.Name(amenable_name(expression.semantic_entity))) # type: ignore + continue + if ( + not isinstance(expression, ast.Alias) + and not isinstance( + expression, + ast.Wildcard, + ) + and not (hasattr(expression, "alias") and expression.alias) # type: ignore + ): + alias_name = expression.alias_or_name.identifier(False) # type: ignore + if expression.alias_or_name.name.lower() in node_columns: # type: ignore # pragma: no cover + alias_name = node.name + SEPARATOR + expression.alias_or_name.name # type: ignore + expression = expression.copy() + expression.set_semantic_entity(alias_name) # type: ignore + if not preaggregate: + expression.set_alias(ast.Name(amenable_name(alias_name))) + projection.append(expression) + else: # pragma: no cover + expression = expression.copy() + if isinstance( + expression, + ast.Aliasable, + ) and not isinstance( # pragma: no cover + expression, + ast.Wildcard, + ): + column_ref = expression.alias_or_name.identifier() + if column_ref in node_columns: # type: ignore + alias_name = f"{node.name}{SEPARATOR}{column_ref}" # type: ignore # pragma: no cover + expression.set_semantic_entity(alias_name) # pragma: no cover + else: + expression.set_semantic_entity(from_amenable_name(column_ref)) + projection.append(expression) # type: ignore + built_ast.select.projection = projection + + if built_ast.select.where: + for col in built_ast.select.where.find_all(ast.Column): # pragma: no cover + if hasattr(col, "alias"): # pragma: no cover + col.alias = None + + if built_ast.select.group_by: + for i in range( # pragma: no cover + len(built_ast.select.group_by), + ): + if hasattr(built_ast.select.group_by[i], "alias"): # pragma: no cover + built_ast.select.group_by[i] = ast.Column( + name=built_ast.select.group_by[i].name, # type: ignore + _type=built_ast.select.group_by[i].type, # type: ignore + _table=built_ast.select.group_by[i]._table, # type: ignore + ) + built_ast.select.group_by[i].alias = None + return built_ast + + +async def group_metrics_by_parent( + session: AsyncSession, + metric_nodes: List[Node], +) -> DefaultDict[Node, List[NodeRevision]]: + """ + Group metrics by their parent node. + For derived metrics, this groups by the ultimate non-metric parent(s). + + Note: If a metric has multiple ultimate parents, it will appear in + multiple groups. This supports cross-fact metrics. + """ + common_parents: DefaultDict[Node, List[NodeRevision]] = collections.defaultdict( + list, + ) + for metric_node in metric_nodes: + ultimate_parents = await get_metric_parents(session, [metric_node]) + for parent in ultimate_parents: + if metric_node.current not in common_parents[parent]: # pragma: no cover + common_parents[parent].append(metric_node.current) + return common_parents + + +async def validate_shared_dimensions( + session: AsyncSession, + metric_nodes: List[Node], + dimensions: List[str], +): + """ + Determine if dimensions are shared. + """ + shared_dimensions = [ + dim.name for dim in await get_shared_dimensions(session, metric_nodes) + ] + for dimension_attribute in dimensions: + if dimension_attribute not in shared_dimensions: + message = ( + f"The dimension attribute `{dimension_attribute}` is not " + "available on every metric and thus cannot be included." + ) + raise DJInvalidInputException( + message, + errors=[DJError(code=ErrorCode.INVALID_DIMENSION, message=message)], + ) + + +async def build_metric_nodes( + session: AsyncSession, + metric_nodes: List[Node], + filters: List[str], + dimensions: List[str], + orderby: List[str], + limit: Optional[int] = None, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, + build_criteria: Optional[BuildCriteria] = None, + access_checker: AccessChecker | None = None, + ignore_errors: bool = True, + query_parameters: Optional[dict[str, Any]] = None, +): + """ + Build a single query for all metrics in the list, including the specified + group bys (dimensions) and filters. The metric nodes should share the same set + of dimensional attributes. Then we can: + (a) Group metrics by their parent nodes. + (b) Build a query for each parent node with the dimensional attributes referenced joined in + (c) For all metrics that reference the parent node, insert the metric expression + into the parent node's select and build the parent query + (d) Set the rest of the parent query's attributes (filters, orderby, limit etc) + (e) Join together the transforms on the shared dimensions + (f) Select all the requested metrics and dimensions in the final SELECT + """ + from datajunction_server.construction.build_v2 import CubeQueryBuilder + + engine = ( + await get_engine(session, engine_name, engine_version) + if engine_name and engine_version + else None + ) + build_criteria = build_criteria or BuildCriteria( + dialect=engine.dialect if engine and engine.dialect else Dialect.SPARK, + ) + builder = await CubeQueryBuilder.create( + session, + metric_nodes, + use_materialized=False, + ) + builder = ( + builder.add_filters(filters) + .add_dimensions(dimensions) + .add_query_parameters(query_parameters) + .order_by(orderby) + .limit(limit) + .with_build_criteria(build_criteria) + .with_access_control(access_checker) + ) + if ignore_errors: + builder = builder.ignore_errors() + return await builder.build() + + +def build_temp_select(temp_query: str): + """ + Builds an intermediate select ast used to build cube queries + """ + temp_select = parse(temp_query).select + + for col in temp_select.find_all(ast.Column): + dimension_column = col.identifier(False).replace( + SEPARATOR, + f"_{LOOKUP_CHARS.get(SEPARATOR)}_", + ) + col.name = ast.Name(dimension_column) + return temp_select + + +def build_materialized_cube_node( + selected_metrics: List[Column], + selected_dimensions: List[Column], + cube: NodeRevision, + filters: List[str] = None, + orderby: List[str] = None, + limit: Optional[int] = None, +) -> ast.Query: + """ + Build query for a materialized cube node + """ + combined_ast: ast.Query = ast.Query( + select=ast.Select(from_=ast.From(relations=[])), + ctes=[], + ) + materialization_config = cube.materializations[0] + cube_config = GenericCubeConfig.model_validate(materialization_config.config) + + if materialization_config.name == "default": + # TODO: remove after we migrate old Druid materializations + selected_metric_keys = [ + col.name for col in selected_metrics + ] # pragma: no cover + else: + selected_metric_keys = [ + col.node_revision.name # type: ignore + for col in selected_metrics + ] + + # Assemble query for materialized cube based on the previously saved measures + # combiner expression for each metric + for metric_key in selected_metric_keys: + if ( + cube_config.measures and metric_key in cube_config.measures + ): # pragma: no cover + metric_measures = cube_config.measures[metric_key] + measures_combiner_ast = parse(f"SELECT {metric_measures.combiner}") + measures_type_lookup = { + ( + measure.name + if materialization_config.name == "default" + else measure.field_name + ): measure.type + for measure in metric_measures.measures + } + for col in measures_combiner_ast.find_all(ast.Column): + col.add_type( + ColumnType( + measures_type_lookup[col.alias_or_name.name], # type: ignore + ), + ) + combined_ast.select.projection.extend( + [ + proj.set_alias(ast.Name(amenable_name(metric_key))) + for proj in measures_combiner_ast.select.projection + ], + ) + else: + # This is the materialized metrics table case. We choose SUM for now, + # since there shouldn't be any other possible aggregation types on a + # metric (maybe MAX or MIN in some special cases). + combined_ast.select.projection.append( + ast.Function( # pragma: no cover + name=ast.Name("SUM"), + args=[ast.Column(name=ast.Name(amenable_name(metric_key)))], + ), + ) + + # Add in selected dimension attributes to the query + for selected_dim in selected_dimensions: + dimension_column = ast.Column( + name=ast.Name( + ( + selected_dim.node_revision.name # type: ignore + + SEPARATOR + + selected_dim.name + ).replace(SEPARATOR, f"_{LOOKUP_CHARS.get(SEPARATOR)}_"), + ), + ) + combined_ast.select.projection.append(dimension_column) + combined_ast.select.group_by.append(dimension_column) + + # Add in filters to the query + filter_asts = [] + for filter_ in filters: # type: ignore + temp_select = build_temp_select( + f"select * where {filter_}", + ) + filter_asts.append(temp_select.where) + + if filter_asts: # pragma: no cover + combined_ast.select.where = ast.BinaryOp.And(*filter_asts) + + # Add orderby + if orderby: # pragma: no cover + temp_select = build_temp_select( + f"select * order by {','.join(orderby)}", + ) + combined_ast.select.organization = temp_select.organization + + # Add limit + if limit: # pragma: no cover + combined_ast.select.limit = ast.Number(value=limit) + + # Set up FROM clause + combined_ast.select.from_.relations.append( # type: ignore + ast.Relation(primary=ast.Table(ast.Name(cube.availability.table))), # type: ignore + ) + return combined_ast + + +async def extract_components_and_parent_columns( + metric_nodes: list[Node], + session: "AsyncSession", +) -> Tuple[ + DefaultDict[str, Set[str]], + dict[str, tuple[list[MetricComponent], ast.Query]], +]: + """ + Given a list of metric nodes, returns: + 1. A mapping of parent node names to sets of column names (as referenced in metric queries). + 2. A mapping from metric node names to their extracted MetricComponents and full AST. + + Returns: + ( + { + "parent_node_1": {"column_a", "column_b"}, + "parent_node_2": {"column_x"}, + }, + { + "metric_node_name": ([MetricComponent, ...], ast.Query), + ... + } + ) + """ + + components_by_metric: dict[str, tuple[list[MetricComponent], ast.Query]] = {} + parent_columns = collections.defaultdict(set) + + async def extract_components_and_columns(metric_node: Node): + extractor = MetricComponentExtractor(metric_node.current.id) + measures, derived_sql = await extractor.extract(session) + metric_ast = parse(metric_node.current.query) + return measures, derived_sql, list(metric_ast.find_all(ast.Column)) + + # Extract in parallel using asyncio.gather + extracted_measures = await asyncio.gather( + *[extract_components_and_columns(node) for node in metric_nodes], + ) + + for metric_node, (measures, derived_sql, columns) in zip( + metric_nodes, + extracted_measures, + ): + components_by_metric[metric_node.name] = (measures, derived_sql) + for col in columns: + parent_columns[metric_node.current.parents[0].name].add( # type: ignore + col.alias_or_name.name, + ) + return parent_columns, components_by_metric diff --git a/datajunction-server/datajunction_server/construction/build_v2.py b/datajunction-server/datajunction_server/construction/build_v2.py new file mode 100644 index 000000000..d704b2998 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v2.py @@ -0,0 +1,2283 @@ +"""Building node SQL functions""" + +import collections +import logging +import re +from dataclasses import dataclass +from functools import cached_property +from typing import ( + Any, + DefaultDict, + Optional, + Tuple, + Union, + cast, +) + +from sqlalchemy import text, bindparam, select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload + +from datajunction_server.internal.access.authorization import ( + AccessChecker, + AccessDenialMode, +) +from datajunction_server.construction.utils import to_namespaced_name +from datajunction_server.database import Engine +from datajunction_server.database.attributetype import ColumnAttribute +from datajunction_server.database.column import Column +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.errors import ( + DJException, + DJQueryBuildError, + DJQueryBuildException, + ErrorCode, +) +from datajunction_server.models import access +from datajunction_server.models.column import SemanticType +from datajunction_server.models.cube_materialization import ( + MetricComponent, +) +from datajunction_server.models.engine import Dialect +from datajunction_server.models.node import BuildCriteria +from datajunction_server.models.node_type import NodeType +from datajunction_server.naming import amenable_name, from_amenable_name +from datajunction_server.sql.parsing.ast import CompileContext +from datajunction_server.sql.parsing.backends.antlr4 import ast, cached_parse, parse +from datajunction_server.utils import SEPARATOR, refresh_if_needed + +logger = logging.getLogger(__name__) + + +@dataclass +class FullColumnName: + """ + A fully qualified column name with the node name and the column. + """ + + name: str + + @cached_property + def node_name(self) -> str: + """ + Gets the node name part of the full column name. + """ + return SEPARATOR.join(self.name.split(SEPARATOR)[:-1]) + + @cached_property + def full_column_name(self) -> str: + """ + Gets the column name part of the full column name. + """ + return self.name.split(SEPARATOR)[-1] + + @cached_property + def column_name(self) -> str: + """ + Gets the column name part of the full column name. + """ + if self.role: + return self.full_column_name.replace(f"[{self.role}]", "") + return self.full_column_name + + @cached_property + def role(self) -> Optional[str]: + """ + Gets the role. + """ + regex = r"\[([A-Za-z0-9_\-\>]*)\]" + match = re.search(regex, self.full_column_name) + if match: + return match.group(1) + return None + + @cached_property + def join_key(self) -> str: + """ + Generates a unique key for identifying shared join contexts in query building. + + For dimensions without role paths, returns the node name (e.g., "default.countries"). + For role path dimensions, includes the role to distinguish different join contexts + for the same dimension node (e.g., "default.countries[user_birth_country]"). + + This key is used by the query builder to group dimensions that can share the same + dimension node join. + """ + if self.role: + return f"{self.node_name}[{self.role}]" + return self.node_name + + +@dataclass +class DimensionJoin: + """ + Info on a dimension join + """ + + join_path: list[DimensionLink] + requested_dimensions: list[str] + node_query: Optional[ast.Query] = None + right_alias: Optional[ast.Name] = None + + def add_requested_dimension(self, dimension: str): + """ + Adds a requested dimension to the join + """ + if dimension not in self.requested_dimensions: # pragma: no cover + self.requested_dimensions.append(dimension) + + +def resolve_metric_component_against_parent( + component: MetricComponent, + parent_ast: ast.Query, + parent_node: Node, +) -> ast.Query: + """ + Parses and resolves a SQL expression (or aggregated expression) against a parent query AST. + We resolve column references based on the parent's column mappings and apply the types + from the parent. + """ + # aggregation is function name or template (e.g., "SUM" or "SUM(POWER({}, 2))") + if not component.aggregation: + expr_sql = component.expression + elif "{}" in component.aggregation: # pragma: no cover + # Template case: "SUM(POWER({}, 2))" -> "SUM(POWER(x, 2))" + expr_sql = component.aggregation.format(component.expression) + else: + # Simple case: "SUM" -> "SUM(x)" + expr_sql = f"{component.aggregation}({component.expression})" + # Add all expressions from the metric component's aggregation level to the GROUP BY + group_by_clause = ( + f"GROUP BY {','.join(component.rule.level)}" if component.rule.level else "" + ) + component_ast = cached_parse( + f"SELECT {expr_sql} AS {component.name} FROM {parent_ast.alias_or_name.name} {group_by_clause}", + ) + + parent_select = parent_ast.select + original_columns = { + col.name.name: col + for col in parent_select.projection + if isinstance(col, ast.Column) + } + for col in component_ast.find_all(ast.Column): + if matching := parent_select.column_mapping.get(col.name.name): + # Case 1: The column name matches one of the parent's select aliases directly + col.name = matching.alias_or_name.copy() + col.add_type(matching.type) + elif matching := parent_select.semantic_column_mapping.get(col.identifier()): + # Case 2: The column name is a joinable dimension and can be found by searching + # the semantic entities of each of the parent columns + col.name = matching.alias_or_name.copy() + col.add_type(matching.type) + elif matching := original_columns.get(col.identifier()): + # Case 3: The column name has been included as a dimension and so needs to use + # semantic entity name rather than the original column name + col.name = matching.alias_or_name.copy() + col.add_type(matching.type) + else: + # Case 4: The column is a local dimension reference and cannot be found directly + # in the parent's select clause, but can be resolved by prefixing with the parent + # node's name (e.g., from `entity` to `default_DOT_transform_DOT_entity`) + alias = amenable_name(f"{parent_node.name}{SEPARATOR}{col.name.name}") + if matching := parent_select.column_mapping.get(alias): # pragma: no cover + col.name.name = alias + col.add_type(matching.type) + return component_ast + + +def build_preaggregate_query( + parent_ast: ast.Query, + parent_node: Node, + dimensional_columns: list[ast.Column], + children: list[NodeRevision], + metric_to_components: dict[str, tuple[list[MetricComponent], ast.Query]], +): + """ + Builds a measures query preaggregated to the chosen dimensions. + """ + existing_ctes = parent_ast.ctes + parent_ast.ctes = [] + built_parent_ref = parent_node.name + "_built" + parent_node_cte = parent_ast.to_cte(ast.Name(amenable_name(built_parent_ref))) + from_table = ast.Table(ast.Name(amenable_name(built_parent_ref))) + + final_query = ast.Query( + ctes=existing_ctes + [parent_node_cte], + select=ast.Select( + projection=[ + ast.Column.from_existing(col, table=from_table) + for col in parent_ast.select.projection + if col and col.semantic_type == SemanticType.DIMENSION # type: ignore + ], + from_=ast.From(relations=[ast.Relation(primary=from_table)]), + group_by=[ + ast.Column(dim.alias_or_name, _table=from_table) + for dim in dimensional_columns + ], + ), + ) + + added_components = set() + for metric in children: + for component in metric_to_components[metric.name][0]: + if component.name in added_components: + continue + added_components.add(component.name) + component_ast = resolve_metric_component_against_parent( + component, + parent_ast, + parent_node, + ) + for proj in component_ast.select.projection: + proj.set_semantic_entity(parent_node.name + SEPARATOR + component.name) # type: ignore + proj.set_semantic_type(SemanticType.MEASURE) # type: ignore + final_query.select.projection.extend(component_ast.select.projection) + final_query.select.group_by.extend(component_ast.select.group_by or []) + return final_query + + +def get_dimensions_referenced_in_metrics(metric_nodes: list[Node]) -> list[str]: + """ + Returns a list of dimensions referenced in the metric nodes' query definitions. + """ + dimensions = set() + for metric in metric_nodes: + metric_ast = parse(metric.current.query) + for ref in metric_ast.find_all(ast.Column): + if SEPARATOR in ref.identifier().rsplit(SEPARATOR, 1)[0]: + dimensions.add(ref.identifier()) + return sorted(list(dimensions)) + + +class QueryBuilder: + """ + This class allows users to configure building node SQL by incrementally building out + the build configuration, including adding filters, dimensions, ordering, and limit + clauses. The builder then handles the management of CTEs, dimension joins, and error + validation, allowing for dynamic node query generation based on runtime conditions. + """ + + def __init__( + self, + session: AsyncSession, + node_revision: NodeRevision, + use_materialized: bool = True, + ): + self.session = session + self.node_revision = node_revision + self.use_materialized = use_materialized + + self._filters: list[str] = [] + self._parameters: dict[str, ast.Value] = {} + self._required_dimensions: list[str] = [ + required.name for required in self.node_revision.required_dimensions + ] + self._dimensions: list[str] = [] + self._orderby: list[str] = [] + self._limit: Optional[int] = None + self._build_criteria: Optional[BuildCriteria] = self.get_default_criteria() + self._access_checker: Optional[AccessChecker] = None + self._ignore_errors: bool = False + + # The following attributes will be modified as the query gets built. + # -- + # Track node query CTEs as they get built + self.cte_mapping: dict[str, ast.Query] = {} # Maps node name to its CTE + # Keep a list of build errors + self.errors: list[DJQueryBuildError] = [] + # The final built query AST + self.final_ast: Optional[ast.Query] = None + # Shared cache for DJ node lookups - reused across all compile calls + # This avoids redundant DB queries for the same node + self.dependencies_cache: dict[str, Node] = {} + # Preloaded join paths keyed by (dim_name, role) + # Populated by find_dimension_node_joins + self._preloaded_join_paths: dict[tuple[str, str], list[DimensionLink]] = {} + + @classmethod + async def create( + cls, + session: AsyncSession, + node_revision: NodeRevision, + use_materialized: bool = True, + ) -> "QueryBuilder": + """ + Create a QueryBuilder instance for the node revision. + """ + await refresh_if_needed( + session, + node_revision, + ["required_dimensions", "dimension_links"], + ) + instance = cls(session, node_revision, use_materialized=use_materialized) + return instance + + def ignore_errors(self): + """Do not raise on errors in query build.""" + self._ignore_errors = True + return self + + def raise_errors(self): + """Raise on errors in query build.""" + self._ignore_errors = False + return self + + def filter_by(self, filter_: str): + """Add filter to the query builder.""" + if filter_ not in self._filters: + self._filters.append(filter_) + return self + + def add_filters(self, filters: Optional[list[str]] = None): + """Add filters to the query builder.""" + for filter_ in filters or []: + self.filter_by(filter_) + return self + + def add_query_parameters( + self, + query_parameters: dict[str, ast.Value | Any] | None = None, + ): + """Add parameters to the query builder.""" + for param, value in (query_parameters or {}).items(): + self._parameters[param] = QueryBuilder.normalize_query_param_value( + param, + value, + ) + return self + + def add_dimension(self, dimension: str): + """Add dimension to the query builder.""" + if ( + dimension not in self._dimensions + and dimension not in self._required_dimensions + ): + self._dimensions.append(dimension) + return self + + def add_dimensions(self, dimensions: Optional[list[str]] = None): + """Add dimensions to the query builder.""" + for dimension in dimensions or []: + self.add_dimension(dimension) + return self + + def order_by(self, orderby: Optional[Union[str, list[str]]] = None): + """Set order by for the query builder.""" + if isinstance(orderby, str): + if orderby not in self._orderby: + self._orderby.append(orderby) + else: + for order in orderby or []: + if order not in self._orderby: # pragma: no cover + self._orderby.append(order) + return self + + def limit(self, limit: Optional[int] = None): + """Set limit for the query builder.""" + if limit: # pragma: no cover + self._limit = limit + return self + + def with_build_criteria(self, build_criteria: Optional[BuildCriteria] = None): + """Set build criteria for the query builder.""" + if build_criteria: # pragma: no cover + self._build_criteria = build_criteria + return self + + def with_access_control( + self, + access_checker: AccessChecker, + ): + """ + Set access control for the query builder. + """ + if access_checker: # pragma: no cover + access_checker.add_node(self.node_revision, access.ResourceAction.READ) + self._access_checker = access_checker + return self + + @property + def dimensions(self) -> list[str]: + """All dimensions""" + return self._dimensions + self._required_dimensions + + @property + def filters(self) -> list[str]: + """All filters""" + return self._filters + + @property + def parameters(self) -> dict[str, ast.Value]: + """ + Extracts parameters from relevant filters + """ + return self._parameters + + @property + def filter_asts(self) -> list[ast.Expression]: + """ + Returns a list of filter expressions rendered as ASTs + """ + return [filter_ast for filter_ast in to_filter_asts(self.filters) if filter_ast] + + @property + def include_dimensions_in_groupby(self) -> bool: + """ + Whether to include the requested dimensions in the query's GROUP BY clause. + Defaults to true for metrics. + """ + return self.node_revision.type == NodeType.METRIC + + @cached_property + def physical_table(self) -> Optional[ast.Table]: + """ + A physical table for the node, if one exists + """ + return get_table_for_node( + self.node_revision, + build_criteria=self._build_criteria, + ) + + @property + def context(self) -> dict[str, Any]: + """ + Debug context + """ + return { + "node_revision": self.node_revision.name, + "filters": self._filters, + "required_dimensions": self._required_dimensions, + "dimensions": self._dimensions, + "orderby": self._orderby, + "limit": self._limit, + "ignore_errors": self._ignore_errors, + "build_criteria": self._build_criteria, + } + + async def build(self) -> ast.Query: + """ + Builds the node SQL with the requested set of dimensions, filter expressions, + order by, and limit clauses. + + Build Strategy + --------------- + 1. Recursively turn node references into query ASTs + apply any filters that can + be pushed down. If the node query has CTEs, unwind them into subqueries. + 2. Initialize the final query with the node's query AST added to it as a CTE. + 3. For any dimensions or filters requested for the node, determine if a join is + needed to bring in the dimension or filter. Keep track of all the necessary dimension + joins in a dict that maps dimension nodes to join paths. + 4. For each of the necessary dimension joins, build the dimension node's query in the + same manner as above, recursively replacing any node references and pushing down requested + filters where possible. + 5. Add each dimension node's query AST to the final query as a CTE. + 6. Build the final query using the various CTEs. This does all the joins between the node + query AST and the dimension nodes' ASTs using the join logic from the dimension links. + 7. Add all requested dimensions to the final select. + 8. Add order by and limit to the final select (TODO) + """ + await refresh_if_needed( + self.session, + self.node_revision, + ["availability", "columns"], + ) + + node_ast = ( + await compile_node_ast( + self.session, + self.node_revision, + dependencies_cache=self.dependencies_cache, + ) + if not self.physical_table + else self.create_query_from_physical_table(self.physical_table) + ) + + if self.physical_table and not self._filters and not self.dimensions: + self.final_ast = node_ast + else: + # Pre-load dimension nodes before building the current node AST + # This populates dependencies_cache so Table.compile() can use cached nodes + # instead of making individual get_dj_node calls + target_dim_names = { + FullColumnName(dim).node_name + for dim in self._collect_referenced_dimensions() + if FullColumnName(dim).node_name != self.node_revision.name + } + if target_dim_names: + self._preloaded_join_paths = ( + await self.preload_join_paths_for_dimensions(target_dim_names) + ) + + node_alias, node_ast = await self.build_current_node_ast(node_ast) + + ctx = CompileContext( + self.session, + DJException(), + dependencies_cache=self.dependencies_cache, + ) + await node_ast.compile(ctx) + self.final_ast = self.initialize_final_query_ast(node_ast, node_alias) + await self.build_dimension_node_joins(node_ast, node_alias) + self.set_dimension_aliases() + + self.final_ast.select.limit = self._limit # type: ignore + if self._orderby: + if order := self.build_order_bys(): + self.final_ast.select.organization = ast.Organization( # type: ignore + order=order, + ) + + # Replace any parameters in the final AST with their values + for param in self.final_ast.find_all(ast.QueryParameter): # type: ignore + if param.name in self.parameters and param.parent: + param.parent.replace(param, self.parameters[param.name]) + else: + self.errors.append( + DJQueryBuildError( + code=ErrorCode.MISSING_PARAMETER, + message=f"Missing value for parameter: {param.name}", + ), + ) + + filterable_final_dims = { + col.semantic_entity: col + for col in self.final_ast.select.projection # type: ignore + if isinstance(col, ast.Column) + } + for filter_ast in self.filter_asts: + resolved = False + for filter_dim in filter_ast.find_all(ast.Column): + filter_dim_expr = ( + filter_dim.parent + if isinstance(filter_dim.parent, ast.Subscript) + else filter_dim + ) + filter_key = str(filter_dim_expr) + dim_expr = filterable_final_dims.get(filter_key) + if dim_expr: + resolved = True + if filter_dim_expr.parent: + filter_dim_expr.parent.replace( + filter_dim_expr, + ast.Column( + name=ast.Name(dim_expr.identifier()), + _table=dim_expr.table, + _type=dim_expr.type, + semantic_entity=dim_expr.semantic_entity, + ), + ) + + if resolved: + self.final_ast.select.where = combine_filter_conditions( # type: ignore + self.final_ast.select.where, # type: ignore + filter_ast, + ) + + # Error validation + await self.validate_access() + if self.errors and not self._ignore_errors: + raise DJQueryBuildException(errors=self.errors) + return self.final_ast # type: ignore + + def build_order_bys(self): + """ + Build the ORDER BY clause from the provided order expressions + """ + temp_orderbys = cached_parse( + f"SELECT 1 ORDER BY {','.join(self._orderby)}", + ).select.organization.order + valid_sort_items = [ + sortitem + for sortitem in temp_orderbys + if amenable_name(sortitem.expr.identifier()) + in self.final_ast.select.column_mapping + ] + if len(valid_sort_items) < len(temp_orderbys): + self.errors.append( + DJQueryBuildError( + code=ErrorCode.INVALID_ORDER_BY, + message=f"{self._orderby} is not a valid ORDER BY request", + debug=self.context, + ), + ) + return [ + ast.SortItem( + expr=self.final_ast.select.column_mapping.get( + amenable_name(sortitem.expr.identifier()), + ) + .copy() + .set_alias(None), + asc=sortitem.asc, + nulls=sortitem.nulls, + ) + for sortitem in valid_sort_items + ] + + def get_default_criteria( + self, + engine: Optional[Engine] = None, + ) -> BuildCriteria: + """ + Get the default build criteria for a node. + Set the dialect by using the provided engine, if any. If no engine is specified, + set the dialect by finding available engines for this node, or default to Spark + """ + dialect = ( + engine.dialect + if engine + else ( + self.node_revision.catalog.engines[0].dialect + if self.node_revision.catalog + and self.node_revision.catalog.engines + and self.node_revision.catalog.engines[0].dialect + else Dialect.SPARK + ) + ) + return BuildCriteria( + dialect=dialect, + target_node_name=self.node_revision.name, + ) + + async def build_current_node_ast(self, node_ast): + """ + Build the node AST into a CTE + """ + ctx = CompileContext( + self.session, + DJException(), + dependencies_cache=self.dependencies_cache, + ) + await node_ast.compile(ctx) + self.errors.extend(ctx.exception.errors) + node_alias = ast.Name(amenable_name(self.node_revision.name)) + return node_alias, await build_ast( + self.session, + self.node_revision, + node_ast, + filters=self._filters, + build_criteria=self._build_criteria, + ctes_mapping=self.cte_mapping, + use_materialized=self.use_materialized, + dependencies_cache=self.dependencies_cache, + ) + + def initialize_final_query_ast(self, node_ast, node_alias): + """ + Initialize the final query AST structure + """ + node_ctes = remove_duplicates( # pragma: no cover + node_ast.ctes, + lambda cte: cte.alias_or_name.identifier(), + ) + return ast.Query( + select=ast.Select( + projection=[ + ast.Column( + ast.Name(col.alias_or_name.name), # type: ignore + _table=node_ast, + _type=col.type, # type: ignore + semantic_type=col.semantic_type, + semantic_entity=col.semantic_entity, + ) + for col in node_ast.select.projection + ], + from_=ast.From(relations=[ast.Relation(node_alias)]), # type: ignore + ), + ctes=[*node_ctes, node_ast], + ) + + @classmethod + def generate_role_alias( + cls, + node_name: str, + role_path: str | None, + join_index: int, + ) -> str | None: + """ + Generate unique alias for a role path join + """ + if not role_path: + return None + role_parts = role_path.split("->") + role_path = "__".join(role_parts[: join_index + 1]) + return ( + f"{amenable_name(node_name)}__{join_index}" + if not role_path + else role_path.replace("->", "__") + ) + + async def find_join_paths_batch( + self, + target_dimension_names: set[str], + max_depth: int = 5, + ) -> dict[tuple[str, str], list[int]]: + """ + Find join paths from this node to all target dimension nodes using a single + recursive CTE query. Returns a dict mapping (dimension_node_name, role_path) + to the list of DimensionLink IDs forming the path. + + The role_path is a "->" separated string of roles at each step (e.g., "birth_date->parent"). + Empty roles are represented as empty strings. + + This is O(1) database calls instead of O(nodes * depth) individual queries. + """ + if not target_dimension_names: + return {} # pragma: no cover + + # Single recursive CTE to find all paths at once + # Tracks both the link IDs and the roles at each step + recursive_query = text(""" + WITH RECURSIVE paths AS ( + -- Base case: first level dimension links from the source node + SELECT + dl.id as link_id, + n.name as dim_name, + CAST(dl.id AS TEXT) as path, + COALESCE(dl.role, '') as role_path, + 1 as depth + FROM dimensionlink dl + JOIN node n ON dl.dimension_id = n.id + WHERE dl.node_revision_id = :source_revision_id + + UNION ALL + + -- Recursive case: follow dimension_links from each dimension node + SELECT + dl2.id as link_id, + n2.name as dim_name, + paths.path || ',' || CAST(dl2.id AS TEXT) as path, + paths.role_path || '->' || COALESCE(dl2.role, '') as role_path, + paths.depth + 1 as depth + FROM paths + JOIN node prev_node ON paths.dim_name = prev_node.name + JOIN noderevision nr ON prev_node.current_version = nr.version AND nr.node_id = prev_node.id + JOIN dimensionlink dl2 ON dl2.node_revision_id = nr.id + JOIN node n2 ON dl2.dimension_id = n2.id + WHERE paths.depth < :max_depth + ) + SELECT dim_name, path, role_path, depth + FROM paths + WHERE dim_name IN :target_names + ORDER BY depth ASC + """).bindparams(bindparam("target_names", expanding=True)) + + result = await self.session.execute( + recursive_query, + { + "source_revision_id": self.node_revision.id, + "max_depth": max_depth, + "target_names": list(target_dimension_names), + }, + ) + rows = result.fetchall() + + # Build paths dict keyed by (dim_name, role_path) + paths: dict[tuple[str, str], list[int]] = {} + for dim_name, path_str, role_path, depth in rows: + key = (dim_name, role_path or "") + if key not in paths: # pragma: no branch + paths[key] = [int(x) for x in path_str.split(",")] + + return paths + + async def load_dimension_links_and_nodes( + self, + link_ids: set[int], + ) -> dict[int, DimensionLink]: + """ + Batch load DimensionLinks and their associated dimension Nodes. + Returns a dict mapping link_id to DimensionLink object. + """ + if not link_ids: + return {} + + # Load all dimension links with eager loading + # Include dimension_links on the node revision for multi-hop joins + stmt = ( + select(DimensionLink) + .where(DimensionLink.id.in_(link_ids)) + .options( + joinedload(DimensionLink.dimension).options( + joinedload(Node.current).options( + selectinload(NodeRevision.columns).options( + joinedload(Column.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + joinedload(Column.dimension), + joinedload(Column.partition), + ), + joinedload(NodeRevision.catalog), + selectinload(NodeRevision.availability), + selectinload(NodeRevision.dimension_links).options( + joinedload(DimensionLink.dimension), + ), + ), + ), + ) + ) + result = await self.session.execute(stmt) + links = result.scalars().unique().all() + + # Build lookup dict and cache nodes + link_dict: dict[int, DimensionLink] = {} + for link in links: + link_dict[link.id] = link + if link.dimension: # pragma: no branch + self.dependencies_cache[link.dimension.name] = link.dimension + + return link_dict + + async def preload_join_paths_for_dimensions( + self, + target_dimension_names: set[str], + ) -> dict[tuple[str, str], list[DimensionLink]]: + """ + Find and load join paths for the requested dimensions using a single recursive + CTE query + a single batch load. + + Returns dict mapping (dimension_node_name, role_path) to list of DimensionLink objects. + The role_path is a "->" separated string matching the roles at each step. + """ + # Ensure the main node's dimension_links are loaded + await refresh_if_needed(self.session, self.node_revision, ["dimension_links"]) + + # Use recursive CTE to find all paths in one query (keyed by (dim_name, role_path)) + path_ids = await self.find_join_paths_batch(target_dimension_names) + + # Collect all link IDs we need to load + all_link_ids: set[int] = set() + for link_id_list in path_ids.values(): + all_link_ids.update(link_id_list) + + # Batch load all DimensionLinks + Nodes in one query + link_dict = await self.load_dimension_links_and_nodes(all_link_ids) + + # Build the final paths with actual DimensionLink objects + dimension_paths: dict[tuple[str, str], list[DimensionLink]] = {} + for key, link_id_list in path_ids.items(): + dimension_paths[key] = [ + link_dict[lid] for lid in link_id_list if lid in link_dict + ] + + return dimension_paths + + async def build_dimension_node_joins(self, node_ast, node_alias): + """ + Builds the dimension joins and adding them to the CTEs + """ + # Add node ast to CTE tracker + node_ast.ctes = [] + node_ast = node_ast.to_cte(node_alias) + self.cte_mapping[self.node_revision.name] = node_ast + + # Find all dimension join paths in one recursive CTE query, and then batch + # load only the DimensionLinks/Nodes that are actually needed + dimension_node_joins = await self.find_dimension_node_joins() + + # Track added joins to avoid duplicates + added_joins = set() + + for join_key, dimension_join in dimension_node_joins.items(): + join_path = dimension_join.join_path + requested_dimensions = list( + dict.fromkeys(dimension_join.requested_dimensions), + ) + + previous_alias = None + for idx, link in enumerate(join_path): + link = cast(DimensionLink, link) + if all( # pragma: no cover + dim in link.foreign_keys_reversed for dim in requested_dimensions + ): + continue + + # Add dimension node query to CTEs if not already present + if not self.cte_mapping.get(link.dimension.name): + dimension_node_query = await build_dimension_node_query( + self.session, + self._build_criteria, + link, + self._filters, + self.cte_mapping, + use_materialized=self.use_materialized, + dependencies_cache=self.dependencies_cache, + ) + else: + dimension_node_query = self.cte_mapping[link.dimension.name] + + dimension_join.node_query = convert_to_cte( + dimension_node_query, + self.final_ast, + link.dimension.name, + ) + if role := FullColumnName(join_key).role: + dimension_join.right_alias = ast.Name(role) + + # Add it to the list of CTEs + if link.dimension.name not in self.cte_mapping: + self.cte_mapping[link.dimension.name] = dimension_join.node_query # type: ignore + self.final_ast.ctes.append(dimension_join.node_query) # type: ignore + + # Build the join statement + join_key_col = FullColumnName(join_key) + role_alias = QueryBuilder.generate_role_alias( + link.dimension.name, + join_key_col.role, + idx, + ) + + # Create a unique identifier for this join to avoid duplicates + join_identifier = ( + link.dimension.name, + role_alias or link.dimension.name, + previous_alias, + str(link.join_sql), + ) + + if join_identifier not in added_joins: + join_ast = build_join_for_link( + link, + self.cte_mapping, + dimension_node_query, + role_alias, + previous_alias, + ) + self.final_ast.select.from_.relations[-1].extensions.append( + join_ast, + ) + added_joins.add(join_identifier) + + # Track this alias for the next join in the chain + previous_alias = role_alias + + # Add the requested dimensions to the final SELECT + if join_path: # pragma: no cover + dimensions_columns, errors = build_requested_dimensions_columns( + requested_dimensions, + join_path[-1], + dimension_node_joins, + ) + self.final_ast.select.projection.extend(dimensions_columns) + self.errors.extend(errors) + + def create_query_from_physical_table(self, physical_table) -> ast.Query: + """ + Initial scaffolding for a query from a physical table. + """ + return ast.Query( + select=ast.Select( + projection=physical_table.columns, # type: ignore + from_=ast.From(relations=[ast.Relation(physical_table)]), + ), + ) + + def set_dimension_aliases(self): + """ + Mark any remaining requested dimensions that don't need a join with + their canonical dimension names + """ + for dim_name in self.dimensions: + column_name = get_column_from_canonical_dimension( + dim_name, + self.node_revision, + ) + node_col = ( + self.final_ast.select.column_mapping.get(column_name) + if column_name + else None + ) + # Realias based on canonical dimension name + new_alias = amenable_name(dim_name) + if node_col and new_alias not in self.final_ast.select.column_mapping: + node_col.set_alias(ast.Name(amenable_name(dim_name))) + node_col.set_semantic_entity(dim_name) + node_col.set_semantic_type(SemanticType.DIMENSION) + + def add_request_by_node_name(self, node_name: str): + """Add a node request to the access control validator.""" + if self._access_checker: # pragma: no cover + self._access_checker.add_request_by_node_name( + node_name, + access.ResourceAction.READ, + ) + + async def validate_access(self): + """Validates access""" + if self._access_checker: + await self._access_checker.check(on_denied=AccessDenialMode.RAISE) + + async def find_dimension_node_joins( + self, + ) -> dict[str, DimensionJoin]: + """ + Uses a single recursive CTE query to find all dimension node joins to reach + the requested dimensions and filters from the current node. + """ + dimension_node_joins: dict[str, DimensionJoin] = {} + necessary_dimensions = self._collect_referenced_dimensions() + + # Separate local dimensions from those needing joins + non_local_dimensions: list[FullColumnName] = [] + target_dimension_node_names: set[str] = set() + + for dim in necessary_dimensions: + attr = FullColumnName(dim) + if attr.node_name == self.node_revision.name: + continue # Local dimension, no join needed + + # Check if it's a local dimension via column.dimension link + is_local = False + for col in self.node_revision.columns: + if f"{self.node_revision.name}.{col.name}" == attr.name: + is_local = True # pragma: no cover + break # pragma: no cover + if ( + col.dimension + and f"{col.dimension.name}.{col.dimension_column}" == attr.name + ): + is_local = True + break + + if not is_local: + non_local_dimensions.append(attr) + target_dimension_node_names.add(attr.node_name) + + # Batch find all join paths using recursive CTE + # Returns dict keyed by (dim_name, role_path) so we can match roles too + # Skip if already preloaded earlier + if self._preloaded_join_paths: + preloaded_paths = self._preloaded_join_paths + elif target_dimension_node_names: + preloaded_paths = await self.preload_join_paths_for_dimensions( + target_dimension_node_names, + ) + else: + preloaded_paths = {} + + # Build DimensionJoin objects using preloaded paths + for attr in non_local_dimensions: + self.add_request_by_node_name(attr.node_name) + + if attr.join_key not in dimension_node_joins: + # Find matching path - try exact role match first, then no-role match + join_path = None + + # The role in attr.role is like "birth_date->parent" + # The role_path from CTE is like "birth_date->parent" (same format!) + role_key = attr.role or "" + exact_key = (attr.node_name, role_key) + + if exact_key in preloaded_paths: + join_path = preloaded_paths[exact_key] + elif not attr.role: # pragma: no branch + # No role specified - find any path to this dimension (prefer shortest) + for (dim_name, role_path), path in preloaded_paths.items(): + if dim_name == attr.node_name: + if join_path is None or len(path) < len( + join_path, + ): # pragma: no cover + join_path = path + + if join_path is None: + # No path found - dimension cannot be joined + self.errors.append( + DJQueryBuildError( + code=ErrorCode.INVALID_DIMENSION_JOIN, + message=( + f"This dimension attribute cannot be joined in: {attr.name}. " + f"Please make sure that {attr.node_name} is " + f"linked to {self.node_revision.name}" + ), + context=str(self), + ), + ) + continue + + # Check if this dimension actually needs a join + if join_path and not await needs_dimension_join( + self.session, + attr.name, + join_path, + ): + continue + + dimension_join = DimensionJoin( + join_path=join_path, + requested_dimensions=[attr.name], + ) + dimension_node_joins[attr.join_key] = dimension_join + else: + dimension_node_joins[attr.join_key].add_requested_dimension(attr.name) + + return dimension_node_joins + + @classmethod + def normalize_query_param_value(cls, param: str, value: ast.Value | Any): + match value: + case ast.Value(): + return value + case bool(): + return ast.Boolean(value) + case int() | float(): + return ast.Number(value) + case None: + return ast.Null() + case str(): + return ast.String(f"'{value}'") + case _: + raise TypeError( + f"Unsupported parameter type: {type(value)} for param {param}", + ) + + def _collect_referenced_dimensions(self) -> list[str]: + """ + Collects all dimensions referenced in filters and requested dimensions. + """ + necessary_dimensions = self.dimensions.copy() + for filter_ast in self.filter_asts: + for filter_dim in filter_ast.find_all(ast.Column): + filter_dim_id = ( + str(filter_dim.parent) # Handles dimensions with roles + if isinstance(filter_dim.parent, ast.Subscript) + else filter_dim.identifier() + ) + if filter_dim_id not in necessary_dimensions: + necessary_dimensions.append(filter_dim_id) + return necessary_dimensions + + +class CubeQueryBuilder: + """ + This class allows users to configure building cube SQL (retrieving SQL for multiple + metrics + dimensions) through settings like adding filters, dimensions, ordering, and limit + clauses. The builder then handles the management of CTEs, dimension joins, and error + validation, allowing for dynamic node query generation based on runtime conditions. + """ + + def __init__( + self, + session: AsyncSession, + metric_nodes: list[Node], + use_materialized: bool = True, + ): + self.session = session + self.metric_nodes = metric_nodes + self.use_materialized = use_materialized + + self._filters: list[str] = [] + self._required_dimensions: list[str] = [ + required.name + for metric_node in self.metric_nodes + for required in metric_node.current.required_dimensions + ] + self._dimensions: list[str] = [] + self._orderby: list[str] = [] + self._limit: Optional[int] = None + self._parameters: dict[str, ast.Value] = {} + self._build_criteria: BuildCriteria | None = self.get_default_criteria() + self._access_checker: AccessChecker | None = None + self._ignore_errors: bool = False + + # The following attributes will be modified as the query gets built. + # -- + # Track node query CTEs as they get built + self.cte_mapping: dict[str, ast.Query] = {} # Maps node name to its CTE + # Keep a list of build errors + self.errors: list[DJQueryBuildError] = [] + # The final built query AST + self.final_ast: Optional[ast.Query] = None + # Cache for DJ node dependencies to avoid repeated lookups + self.dependencies_cache: dict[str, Node] = {} + + def get_default_criteria( + self, + engine: Optional[Engine] = None, + ) -> BuildCriteria: + """ + Get the default build criteria for a node. + Set the dialect by using the provided engine, if any. If no engine is specified, + set the dialect by finding available engines for this node, or default to Spark + """ + return BuildCriteria( + dialect=engine.dialect if engine and engine.dialect else Dialect.SPARK, + ) + + @classmethod + async def create( + cls, + session: AsyncSession, + metric_nodes: list[Node], + use_materialized: bool = True, + ) -> "CubeQueryBuilder": + """ + Create a QueryBuilder instance for the node revision. + """ + for node in metric_nodes: + await refresh_if_needed(session, node, ["current"]) + await refresh_if_needed(session, node.current, ["required_dimensions"]) + + instance = cls(session, metric_nodes, use_materialized=use_materialized) + return instance + + def ignore_errors(self): + """Do not raise on errors in query build.""" + self._ignore_errors = True + return self + + def raise_errors(self): + """Raise on errors in query build.""" + self._ignore_errors = False # pragma: no cover + return self # pragma: no cover + + def filter_by(self, filter_: str): + """Add filter to the query builder.""" + if filter_ not in self._filters: # pragma: no cover + self._filters.append(filter_) + return self + + def add_filters(self, filters: Optional[list[str]] = None): + """Add filters to the query builder.""" + for filter_ in filters or []: + self.filter_by(filter_) + return self + + def add_dimension(self, dimension: str): + """Add dimension to the query builder.""" + if ( # pragma: no cover + dimension not in self._dimensions + and dimension not in self._required_dimensions + ): + self._dimensions.append(dimension) + return self + + def add_dimensions(self, dimensions: Optional[list[str]] = None): + """Add dimensions to the query builder.""" + for dimension in dimensions or []: + self.add_dimension(dimension) + return self + + def add_query_parameters(self, query_parameters: dict[str, Any] | None = None): + """Add parameters to the query builder.""" + for param, value in (query_parameters or {}).items(): + self._parameters[param] = QueryBuilder.normalize_query_param_value( + param, + value, + ) + return self + + def order_by(self, orderby: Optional[Union[str, list[str]]] = None): + """Set order by for the query builder.""" + if isinstance(orderby, str): + if orderby not in self._orderby: # pragma: no cover + self._orderby.append(orderby) # pragma: no cover + else: + for order in orderby or []: + if order not in self._orderby: # pragma: no cover + self._orderby.append(order) + return self + + def limit(self, limit: Optional[int] = None): + """Set limit for the query builder.""" + if limit: # pragma: no cover + self._limit = limit + return self + + def with_build_criteria(self, build_criteria: Optional[BuildCriteria] = None): + """Set build criteria for the query builder.""" + if build_criteria: # pragma: no cover + self._build_criteria = build_criteria + return self + + def with_access_control( + self, + access_checker: AccessChecker, + ): + """ + Set access control for the query builder. + """ + access_checker.add_nodes(self.metric_nodes, access.ResourceAction.READ) + self._access_checker = access_checker + return self + + @property + def dimensions(self) -> list[str]: + """All dimensions""" + return self._dimensions # TO DO: add self._required_dimensions + + @property + def filters(self) -> list[str]: + """All filters""" + return self._filters + + @property + def parameters(self) -> dict[str, ast.Value]: + """ + Extracts parameters from relevant filters + """ + return self._parameters + + async def build(self) -> ast.Query: + """ + Builds SQL for multiple metrics with the requested set of dimensions, + filter expressions, order by, and limit clauses. + """ + self.add_dimensions(get_dimensions_referenced_in_metrics(self.metric_nodes)) + + measures_queries = await self.build_measures_queries() + + # Join together the transforms on the shared dimensions and select all + # requested metrics and dimensions in the final select projection + parent_ctes, metric_ctes = self.extract_ctes(measures_queries) + initial_cte = metric_ctes[0] + self.final_ast = ast.Query( + ctes=parent_ctes + metric_ctes, + select=ast.Select( + projection=[ + ast.Column( + name=ast.Name(proj.alias, namespace=initial_cte.alias), # type: ignore + _type=proj.type, # type: ignore + semantic_entity=proj.semantic_entity, # type: ignore + semantic_type=proj.semantic_type, # type: ignore + ) + for proj in initial_cte.select.projection + ], + from_=ast.From( + relations=[ast.Relation(primary=ast.Table(initial_cte.alias))], # type: ignore + ), + ), + ) + # Add metrics + for metric_cte in metric_ctes[1:]: + self.final_ast.select.projection.extend( + [ + ast.Column( + name=ast.Name(proj.alias, namespace=metric_cte.alias), # type: ignore + _type=proj.type, # type: ignore + semantic_entity=proj.semantic_entity, # type: ignore + semantic_type=proj.semantic_type, # type: ignore + ) + for proj in metric_cte.select.projection + if from_amenable_name(proj.alias_or_name.identifier()) # type: ignore + not in self.dimensions + ], + ) + join_on = [ + ast.BinaryOp( + op=ast.BinaryOpKind.Eq, + left=ast.Column( + name=ast.Name(proj.alias, namespace=initial_cte.alias), # type: ignore + _type=proj.type, # type: ignore + ), + right=ast.Column( + name=ast.Name(proj.alias, namespace=metric_cte.alias), # type: ignore + _type=proj.type, # type: ignore + ), + ) + for proj in metric_cte.select.projection # type: ignore + if from_amenable_name(proj.alias_or_name.identifier()) # type: ignore + in self.dimensions + ] + self.final_ast.select.from_.relations[0].extensions.append( # type: ignore + ast.Join( + join_type="full", + right=ast.Table(metric_cte.alias), # type: ignore + criteria=ast.JoinCriteria( + on=ast.BinaryOp.And(*join_on), + ), + ), + ) + + if self._orderby: + self.final_ast.select.organization = self.build_orderby() + + if self._limit: + self.final_ast.select.limit = ast.Number(value=self._limit) + + # Error validation + await self.validate_access() + if self.errors and not self._ignore_errors: + raise DJQueryBuildException(errors=self.errors) # pragma: no cover + return self.final_ast + + async def validate_access(self): + """Validates access""" + if self._access_checker: # pragma: no cover + await self._access_checker.check(on_denied=AccessDenialMode.RAISE) + + async def build_measures_queries(self): + """ + Build the metrics' queries grouped by parent + """ + from datajunction_server.construction.build import ( + group_metrics_by_parent, + ) + + common_parents = await group_metrics_by_parent(self.session, self.metric_nodes) + measures_queries = {} + for parent_node, metrics in common_parents.items(): # type: ignore + await refresh_if_needed(self.session, parent_node, ["current"]) + query_builder = await QueryBuilder.create(self.session, parent_node.current) + if self._ignore_errors: + query_builder = query_builder.ignore_errors() + parent_ast = await ( + query_builder.with_access_control(self._access_checker) + .with_build_criteria(self._build_criteria) + .add_dimensions(self.dimensions) + .add_filters(self.filters) + .add_query_parameters(self.parameters) + .build() + ) + self.errors.extend(query_builder.errors) + + dimension_columns = [ + expr + for expr in parent_ast.select.projection + if from_amenable_name(expr.alias_or_name.identifier(False)) # type: ignore + in self.dimensions + # or expr.semantic_entity in self.dimensions + ] + parent_ast.select.projection = dimension_columns + for col in dimension_columns: + group_by_col = col.copy() + group_by_col.alias = None + parent_ast.select.group_by.append(group_by_col) + + await refresh_if_needed(self.session, parent_node.current, ["columns"]) + + # Generate semantic types for each + for expr in parent_ast.select.projection: + column_identifier = expr.alias_or_name.identifier(False) # type: ignore + semantic_entity = from_amenable_name(column_identifier) + if semantic_entity in self.dimensions: # pragma: no cover + expr.set_semantic_entity(semantic_entity) # type: ignore + expr.set_semantic_type(SemanticType.DIMENSION) # type: ignore + + # Add metric aggregations to select + for metric_node in metrics: + metric_proj = await self.build_metric_agg( + metric_node, + parent_node, + parent_ast, + ) + parent_ast.select.projection.extend(metric_proj) + + ctx = CompileContext( + self.session, + DJException(), + dependencies_cache=self.dependencies_cache, + ) + await parent_ast.compile(ctx) + measures_queries[parent_node.name] = parent_ast + return measures_queries + + async def build_metric_agg( + self, + metric_node: NodeRevision, + parent_node: Node, + parent_ast: ast.Query, + ): + """ + Build the metric's aggregate expression. + """ + if self._access_checker: # pragma: no cover + self._access_checker.add_node(metric_node, access.ResourceAction.READ) # type: ignore + metric_query_builder = await QueryBuilder.create(self.session, metric_node) + if self._ignore_errors: + metric_query_builder = ( # pragma: no cover + metric_query_builder.ignore_errors() + ) + if self._access_checker: # pragma: no cover + metric_query_builder = metric_query_builder.with_access_control( + self._access_checker, + ) + metric_query = await metric_query_builder.with_build_criteria( + self._build_criteria, + ).build() + self.errors.extend(metric_query_builder.errors) + metric_query.ctes[-1].select.projection[0].set_semantic_entity( # type: ignore + f"{metric_node.name}.{amenable_name(metric_node.name)}", + ) + metric_query.ctes[-1].select.projection[0].set_alias( # type: ignore + ast.Name(amenable_name(metric_node.name)), + ) + metric_query.ctes[-1].select.projection[0].set_semantic_type( # type: ignore + SemanticType.METRIC, + ) + for col in metric_query.ctes[-1].select.find_all(ast.Column): + if matching := parent_ast.select.semantic_column_mapping.get( + col.identifier(), + ): + # When the column is a joinable dimension reference, find it in the parent AST and + # point the column to the parent AST column ref + col.name = ast.Name(name=matching.name.name) + col._table = matching.table + col.add_type(matching.type) + else: + column_identifier = SEPARATOR.join(name.name for name in col.namespace) + node_name = ( + column_identifier.rsplit(SEPARATOR, 1)[0] + if SEPARATOR in column_identifier + else parent_node.name + ) + col._table = ast.Table( + name=ast.Name(name=amenable_name(node_name)), + ) + return metric_query.ctes[-1].select.projection + + def extract_ctes(self, measures_queries) -> Tuple[list[ast.Query], list[ast.Query]]: + """ + Extracts the parent CTEs and the metric CTEs from the queries + """ + parent_ctes: list[ast.Query] = [] + metric_ctes: list[ast.Query] = [] + for parent_name, parent_query in measures_queries.items(): + existing_cte_aliases = { + cte.alias_or_name.identifier() for cte in parent_ctes + } + parent_ctes += [ + cte + for cte in parent_query.ctes + if cte.alias_or_name.identifier() not in existing_cte_aliases + ] + parent_query.ctes = [] + metric_ctes += [ + parent_query.to_cte(ast.Name(amenable_name(parent_name + "_metrics"))), + ] + return parent_ctes, metric_ctes + + def build_orderby(self): + """ + Creates an order by ast from the requested order bys + """ + temp_orderbys = cached_parse( # type: ignore + f"SELECT 1 ORDER BY {','.join(self._orderby)}", + ).select.organization.order + valid_sort_items = [ + sortitem + for sortitem in temp_orderbys + if amenable_name(sortitem.expr.identifier()) # type: ignore + in self.final_ast.select.column_mapping + ] + if len(valid_sort_items) < len(temp_orderbys): + self.errors.append( # pragma: no cover + DJQueryBuildError( + code=ErrorCode.INVALID_ORDER_BY, + message=f"{self._orderby} is not a valid ORDER BY request", + ), + ) + return ast.Organization( + order=[ + ast.SortItem( + expr=self.final_ast.select.column_mapping.get( # type: ignore + amenable_name(sortitem.expr.identifier()), # type: ignore + ) + .copy() + .set_alias(None), + asc=sortitem.asc, + nulls=sortitem.nulls, + ) + for sortitem in valid_sort_items + ], + ) + + +def get_column_from_canonical_dimension( + dimension_name: str, + node: NodeRevision, +) -> Optional[str]: + """ + Gets a column based on a dimension request on a node. + """ + column_name = None + dimension_attr = FullColumnName(dimension_name) + # Dimension requested was on node + if dimension_attr.node_name == node.name: + column_name = dimension_attr.column_name + + # Dimension requested has reference link on node + dimension_columns = { + (col.dimension.name, col.dimension_column): col.name + for col in node.columns + if col.dimension + } + key = (dimension_attr.node_name, dimension_attr.column_name) + if key in dimension_columns: + return dimension_columns[key] + + # Dimension referenced was foreign key of dimension link + for link in node.dimension_links: + foreign_key_column = link.foreign_keys_reversed.get(dimension_attr.name) + if foreign_key_column: + return FullColumnName(foreign_key_column).column_name + return column_name + + +def to_filter_asts(filters: Optional[list[str]] = None): + """ + Converts a list of filter expresisons to ASTs + """ + return [ + parse(f"select * where {filter_}").select.where for filter_ in filters or [] + ] + + +def remove_duplicates(input_list, key_func=lambda x: x): # pragma: no cover + """ + Remove duplicates from the list by using the key_func on each element + to determine the "key" used for identifying duplicates. + """ + return list( + collections.OrderedDict((key_func(item), item) for item in input_list).values(), + ) + + +async def dimension_join_path( + session: AsyncSession, + node: NodeRevision, + dimension: str, + dependencies_cache: Optional[dict] = None, +) -> Optional[list[DimensionLink]]: + """ + Find a join path between this node and the dimension attribute. + * If there is no possible join path, returns None + * If it is a local dimension on this node, return [] + * If it is in one of the dimension nodes on the dimensions graph, return a + list of dimension links that represent the join path + + If dependencies_cache is provided, it will be used to look up pre-loaded nodes + to avoid additional database queries. + """ + if dependencies_cache is None: + dependencies_cache = {} + + # Check if it is a local dimension + for col in node.columns: # pragma: no cover + # Decide if we should restrict this to only columns marked as dimensional + # await session.refresh(col, ["attributes"]) TODO + # if col.is_dimensional(): + # ... + if f"{node.name}.{col.name}" == dimension: + return [] + if ( + col.dimension + and f"{col.dimension.name}.{col.dimension_column}" == dimension + ): + return [] + + dimension_attr = FullColumnName(dimension) + role_path = ( + [role for role in dimension_attr.role.split("->")] + if dimension_attr.role + else [] + ) + + # If it's not a local dimension, traverse the node's dimensions graph + # This queue tracks the dimension link being processed and the path to that link + await refresh_if_needed(session, node, ["dimension_links"]) + + # Start with first layer of linked dims + layer_with_role = [ + (link, [link], 1) + for link in node.dimension_links + if not role_path or (link.role == role_path[0]) + ] + layer_without_role = [(link, [link], 0) for link in node.dimension_links] + + processing_queue = collections.deque( + layer_with_role if layer_with_role else layer_without_role, + ) + visited = set() + while processing_queue: + current_link, join_path, role_idx = processing_queue.popleft() + if current_link.id in visited: + continue # pragma: no cover + visited.add(current_link.id) + + # Try to use cached node, fall back to ORM relationship + dim_name = current_link.dimension.name + dim_node = dependencies_cache.get(dim_name) + + if dim_name == dimension_attr.node_name: + return join_path + + # Get the current revision - use cache if available + if dim_node and dim_node.current: + current_revision = dim_node.current # pragma: no cover + else: + await refresh_if_needed(session, current_link.dimension, ["current"]) + current_revision = current_link.dimension.current + + if not current_revision: + continue # pragma: no cover + + # Get dimension links from current revision + if ( + dim_node + and dim_node.current + and dim_node.current.dimension_links is not None + ): + dim_links = dim_node.current.dimension_links # pragma: no cover + else: + await refresh_if_needed(session, current_revision, ["dimension_links"]) + dim_links = current_revision.dimension_links + + layer_with_role = [ + (link, join_path + [link], role_idx + 1) + for link in dim_links + if not role_path or (link.role == role_path[role_idx]) + ] + if layer_with_role: + processing_queue.extend(layer_with_role) + else: + processing_queue.extend( # pragma: no cover + [(link, join_path + [link], role_idx) for link in dim_links], + ) + return None + + +async def build_dimension_node_query( + session: AsyncSession, + build_criteria: Optional[BuildCriteria], + link: DimensionLink, + filters: list[str], + cte_mapping: dict[str, ast.Query], + use_materialized: bool = True, + dependencies_cache: Optional[dict] = None, +): + """ + Builds a dimension node query with the requested filters + """ + if dependencies_cache is None: + dependencies_cache = {} # pragma: no cover + + dim_node = dependencies_cache.get(link.dimension.name) + current_revision = dim_node.current # type: ignore + physical_table = get_table_for_node( + current_revision, + build_criteria=build_criteria, + ) + dimension_node_ast = ( + await compile_node_ast( + session, + current_revision, + dependencies_cache=dependencies_cache, + ) + if not physical_table + else ast.Query( + select=ast.Select( + projection=physical_table.columns, # type: ignore + from_=ast.From(relations=[ast.Relation(physical_table)]), + ), + ) + ) + dimension_node_query = await build_ast( + session, + current_revision, + dimension_node_ast, + filters=filters, # type: ignore + build_criteria=build_criteria, + ctes_mapping=cte_mapping, + use_materialized=use_materialized, + dependencies_cache=dependencies_cache, + ) + return dimension_node_query + + +def convert_to_cte( + inner_query: ast.Query, + outer_query: ast.Query, + cte_name: str, +): + """ + Convert the query to a CTE that can be used by the outer query + """ + # Move all the CTEs used by the inner query to the outer query, + # deduplicating by CTE name to avoid duplicate CTEs + existing_cte_names = {cte.alias_or_name.identifier() for cte in outer_query.ctes} + for cte in inner_query.ctes: + cte_identifier = cte.alias_or_name.identifier() + if cte_identifier not in existing_cte_names: # pragma: no branch + cte.set_parent(outer_query, parent_key="ctes") + outer_query.ctes.append(cte) + existing_cte_names.add(cte_identifier) + inner_query.ctes = [] + + # Convert the dimension node query to a CTE + inner_query = inner_query.to_cte( + ast.Name(amenable_name(cte_name)), + outer_query, + ) + return inner_query + + +def build_requested_dimensions_columns( + requested_dimensions: list[str], + link: DimensionLink, + dimension_node_joins: dict[str, DimensionJoin], +) -> Tuple[list[ast.Column], list[DJQueryBuildError]]: + """ + Builds the requested dimension columns for the final select layer. + """ + dimensions_columns = [] + errors = [] + for dim in requested_dimensions: + replacement = build_dimension_attribute( + dim, + dimension_node_joins, + link, + alias=amenable_name(dim), + ) + if replacement: # pragma: no cover + dimensions_columns.append(replacement) + else: + errors.append( # pragma: no cover + DJQueryBuildError( + code=ErrorCode.INVALID_DIMENSION, + message=f"Dimension attribute {dim} does not exist!", + ), + ) + return dimensions_columns, errors + + +async def compile_node_ast( + session, + node_revision: NodeRevision, + dependencies_cache: Optional[dict] = None, +) -> ast.Query: + """ + Parses the node's query into an AST and compiles it. + + Args: + session: Database session + node_revision: The node revision to compile + dependencies_cache: Optional shared cache for DJ node lookups. + If provided, node lookups will be cached and reused + across multiple compile_node_ast calls. + """ + node_ast = parse(node_revision.query) + ctx = CompileContext( + session, + DJException(), + dependencies_cache=dependencies_cache or {}, + ) + await node_ast.compile(ctx) + + return node_ast + + +def build_dimension_attribute( + full_column_name: str, + dimension_node_joins: dict[str, DimensionJoin], + link: DimensionLink, + alias: Optional[str] = None, +) -> Optional[ast.Column]: + """ + Turn the canonical dimension attribute into a column on the query AST + """ + dimension_attr = FullColumnName(full_column_name) + node_query = ( + dimension_node_joins[dimension_attr.join_key].node_query + if dimension_attr.join_key in dimension_node_joins + else None + ) + + if node_query: + foreign_key_column_name = ( + FullColumnName( + link.foreign_keys_reversed.get(dimension_attr.name), + ).column_name + if dimension_attr.name in link.foreign_keys_reversed + else None + ) + for col in node_query.select.projection: + if col.alias_or_name.name == dimension_attr.column_name or ( # type: ignore + foreign_key_column_name + and col.alias_or_name.identifier() == foreign_key_column_name # type: ignore + ): + return ast.Column( + name=ast.Name(col.alias_or_name.name), # type: ignore + alias=ast.Name(alias) if alias else None, + _table=( + node_query + if not dimension_attr.role + else ast.Table( + name=node_query.name, + alias=ast.Name(dimension_attr.role.replace("->", "__")), + ) + ), + _type=col.type, # type: ignore + semantic_entity=full_column_name, + ) + return None # pragma: no cover + + +async def needs_dimension_join( + session: AsyncSession, + dimension_attribute: str, + join_path: list["DimensionLink"], +) -> bool: + """ + Checks if the requested dimension attribute needs a dimension join or + if it can be pulled from an existing column on the node. + """ + if len(join_path) == 1: + link = join_path[0] + await refresh_if_needed(session, link.dimension, ["current"]) + await refresh_if_needed(session, link.dimension.current, ["columns"]) + if dimension_attribute in link.foreign_keys_reversed: + return False + return True + + +def combine_filter_conditions( + existing_condition, + *new_conditions, +) -> Optional[Union[ast.BinaryOp, ast.Expression]]: + """ + Combines the existing where clause with new filter conditions. + """ + if not existing_condition and not new_conditions: + return None + if not existing_condition: + return ast.BinaryOp.And(*new_conditions) + return ast.BinaryOp.And(existing_condition, *new_conditions) + + +def build_join_for_link( + link: "DimensionLink", + cte_mapping: dict[str, ast.Query], + join_right: ast.Query, + role_alias: str | None = None, + previous_alias: str | None = None, +): + """ + Build a join for the dimension link using the provided query table expression + on the left and the provided query table expression on the right. + """ + join_ast = link.joins()[0] + join_ast.right = join_right.alias # type: ignore + if link.role and role_alias: + join_ast.right = ast.Alias( # type: ignore + child=join_right.alias, + alias=ast.Name(role_alias), + as_=True, + ) + + dimension_node_columns = join_right.select.column_mapping + join_left = cte_mapping.get(link.node_revision.name) + node_columns = join_left.select.column_mapping # type: ignore + if not join_ast.criteria: + return join_ast + for col in join_ast.criteria.find_all(ast.Column): # type: ignore + full_column = FullColumnName(col.identifier()) + is_dimension_node = full_column.node_name == link.dimension.name + if full_column.column_name not in ( + dimension_node_columns if is_dimension_node else node_columns + ): + raise DJQueryBuildException( # pragma: no cover + f"The requested column {full_column.column_name} does not exist" + f" on {full_column.node_name}", + ) + + # Determine the correct table reference for each side + if is_dimension_node: + # Right side - use join_right, but create proper alias if there's a role + if link.role and role_alias: + table_ref = ast.Alias( # type: ignore + child=join_right.alias, + alias=ast.Name(role_alias), + as_=True, + ) + else: + table_ref = join_right # type: ignore + else: + # Left side - use previous alias if available for multi-hop joins + table_ref = join_left # type: ignore + if previous_alias: + table_ref = ast.Alias( # type: ignore + child=join_left.alias, # type: ignore + alias=ast.Name(previous_alias), + as_=True, + ) + + replacement = ast.Column( + name=ast.Name(full_column.column_name), + _table=table_ref, + _type=(dimension_node_columns if is_dimension_node else node_columns) + # type: ignore + .get(full_column.column_name) + .type, + ) + col.parent.replace(col, replacement) # type: ignore + return join_ast + + +async def build_ast( + session: AsyncSession, + node: NodeRevision, + query: ast.Query, + filters: Optional[list[str]], + build_criteria: Optional[BuildCriteria] = None, + access_control=None, + ctes_mapping: dict[str, ast.Query] = None, + use_materialized: bool = True, + dependencies_cache: Optional[dict] = None, +) -> ast.Query: + """ + Recursively replaces DJ node references with query ASTs. These are replaced with + materialized tables where possible (i.e., source nodes will always be replaced with a + materialized table), but otherwise we generate the SQL of each upstream node reference. + + This function will apply any filters that can be pushed down to each referenced node's AST + (filters are only applied if they don't require dimension node joins). + """ + context = CompileContext( + session=session, + exception=DJException(), + dependencies_cache=dependencies_cache or {}, + ) + + await query.compile(context) + query.bake_ctes() + await refresh_if_needed(session, node, ["dimension_links"]) + + new_cte_mapping: dict[str, ast.Query] = {} + if ctes_mapping is None: + ctes_mapping = new_cte_mapping # pragma: no cover + + node_to_tables_mapping = get_dj_node_references_from_select(query.select) + for referenced_node, reference_expressions in node_to_tables_mapping.items(): + await refresh_if_needed(session, referenced_node, ["dimension_links"]) + + for ref_expr in reference_expressions: + # Try to find a materialized table attached to this node, if one exists. + physical_table = None + if use_materialized: + logger.debug("Checking for physical node: %s", referenced_node.name) + physical_table = cast( + Optional[ast.Table], + get_table_for_node( + referenced_node, + build_criteria=build_criteria, + ), + ) + + if not physical_table: + logger.debug("Didn't find physical node: %s", referenced_node.name) + # Build a new CTE with the query AST if there is no materialized table + if referenced_node.name not in ctes_mapping: + node_query = parse(cast(str, referenced_node.query)) + query_ast = await build_ast( # type: ignore + session, + referenced_node, + node_query, + filters=filters, + build_criteria=build_criteria, + access_control=access_control, + ctes_mapping=ctes_mapping, + use_materialized=use_materialized, + dependencies_cache=dependencies_cache, + ) + cte_name = ast.Name(amenable_name(referenced_node.name)) + query_ast = query_ast.to_cte(cte_name, parent_ast=query) + if referenced_node.name not in new_cte_mapping: # pragma: no cover + new_cte_mapping[referenced_node.name] = query_ast + + reference_cte = ( + ctes_mapping[referenced_node.name] + if referenced_node.name in ctes_mapping + else new_cte_mapping[referenced_node.name] + ) + query_ast = ast.Table( # type: ignore + reference_cte.alias, # type: ignore + _columns=reference_cte._columns, + _dj_node=referenced_node, + ) + else: + # Otherwise use the materialized table and apply filters where possible + alias = amenable_name(referenced_node.name) + query_ast = ast.Query( + select=ast.Select( + projection=physical_table.columns, # type: ignore + from_=ast.From(relations=[ast.Relation(physical_table)]), + ), + alias=ast.Name(alias), + ) + query_ast.parenthesized = True + apply_filters_to_node( + referenced_node, + query_ast, + to_filter_asts(filters), + ) + if not query_ast.select.where: + query_ast = ast.Alias( # type: ignore + ast.Name(alias), + child=physical_table, + as_=True, + ) + + # If the user has set an alias for the node reference, reuse the + # same alias for the built query + if ref_expr.alias and hasattr(query_ast, "alias"): + query_ast.alias = ref_expr.alias + query.select.replace( + ref_expr, + query_ast, + copy=False, + ) + await query.select.compile(context) + for col in query.select.find_all(ast.Column): + if ( + col.table + and not col.table.alias + and isinstance(col.table, ast.Table) + and col.table.dj_node + and col.table.dj_node.name == referenced_node.name + ): + # Only update columns that are in this query's scope + # (not in nested subqueries where query_ast wouldn't be accessible) + # A column is in this query's scope if its nearest parent Query is + # the current query, not some nested subquery + col_parent_query = col.get_nearest_parent_of_type(ast.Query) + if col_parent_query is query: # pragma: no branch + col._table = query_ast + + # Apply pushdown filters if possible + apply_filters_to_node(node, query, to_filter_asts(filters)) + + # Add new CTEs while deduplicating by CTE name + existing_cte_names = {cte.alias_or_name.identifier() for cte in query.ctes} + for cte in new_cte_mapping.values(): + # Add nested CTEs from this CTE, deduplicating + for nested_cte in cte.ctes: # pragma: no branch + nested_cte_id = nested_cte.alias_or_name.identifier() + if nested_cte_id not in existing_cte_names: # pragma: no branch + query.ctes.append(nested_cte) + existing_cte_names.add(nested_cte_id) + cte.ctes = [] + # Add the CTE itself if not already present + cte_id = cte.alias_or_name.identifier() + if cte_id not in existing_cte_names: # pragma: no branch + query.ctes.append(cte) + existing_cte_names.add(cte_id) + query.select.add_aliases_to_unnamed_columns() + ctes_mapping.update(new_cte_mapping) + return query + + +def apply_filters_to_node( + node: NodeRevision, + query: ast.Query, + filters: list[ast.Expression], +): + """ + Apply pushdown filters if possible to the node's query AST. + + A pushdown filter is defined as a filter with references to dimensions that + already exist on the node query without any additional dimension joins. We can + apply these filters directly to the query AST by renaming the dimension ref in + the filter expression. + """ + for filter_ast in filters: + all_referenced_dimensions_can_pushdown = True + if not filter_ast: + continue + for filter_dim in filter_ast.find_all(ast.Column): + filter_dim_id = ( + str(filter_dim.parent) # Handles dimensions with roles + if isinstance(filter_dim.parent, ast.Subscript) + else filter_dim.identifier() + ) + column_name = get_column_from_canonical_dimension( + filter_dim_id, + node, + ) + node_col = ( + query.select.column_mapping.get(column_name) if column_name else None + ) + if node_col: + replacement = ( + node_col.child if isinstance(node_col, ast.Alias) else node_col # type: ignore + ).copy() + replacement.set_alias(None) + filter_ast.replace(filter_dim, replacement) + else: + all_referenced_dimensions_can_pushdown = False + + if all_referenced_dimensions_can_pushdown: + query.select.where = combine_filter_conditions( + query.select.where, + filter_ast, + ) + return query + + +def get_dj_node_references_from_select( + select: ast.SelectExpression, +) -> DefaultDict[NodeRevision, list[ast.Table]]: + """ + Extract all DJ node references (source, transform, dimensions) from the select + expression. DJ node references are represented in the AST as table expressions + and have an attached DJ node. + """ + tables: DefaultDict[NodeRevision, list[ast.Table]] = collections.defaultdict(list) + + for table in select.find_all(ast.Table): + if node := table.dj_node: # pragma: no cover + tables[node].append(table) + return tables + + +def get_table_for_node( + node: NodeRevision, + build_criteria: Optional[BuildCriteria] = None, +) -> Optional[ast.Table]: + """ + If a node has a materialized table available, return the materialized table. + Source nodes should always have an associated table, whereas for all other nodes + we can check the materialization type. + """ + table = None + can_use_materialization = ( + build_criteria and node.name != build_criteria.target_node_name + ) + if node.type == NodeType.SOURCE: + table_name = ( + f"{node.catalog.name}.{node.schema_}.{node.table}" + if node.schema_ == "iceberg" + else f"{node.schema_}.{node.table}" + ) + name = to_namespaced_name(table_name if node.table else node.name) + table = ast.Table( + name, + _columns=[ + ast.Column(name=ast.Name(col.name), _type=col.type) + for col in node.columns + ], + _dj_node=node, + ) + elif ( + can_use_materialization + and node.availability + and node.availability.is_available( + criteria=build_criteria, + ) + ): # pragma: no cover + table = ast.Table( + ast.Name( + node.availability.table, + namespace=( + ast.Name(node.availability.schema_) + if node.availability.schema_ + else None + ), + ), + _columns=[ + ast.Column(name=ast.Name(col.name), _type=col.type) + for col in node.columns + ], + _dj_node=node, + ) + return table diff --git a/datajunction-server/datajunction_server/construction/build_v3/__init__.py b/datajunction-server/datajunction_server/construction/build_v3/__init__.py new file mode 100644 index 000000000..3cb997342 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/__init__.py @@ -0,0 +1,61 @@ +""" +Build V3: Clean SQL Generation + +This module provides a clean-slate reimplementation of SQL generation that: +- Separates measures (pre-aggregated) from metrics (fully computed) +- Properly handles metric decomposition and derived metrics +- Supports explicit hierarchies and inferred dimension link chains +- Respects aggregability rules and required dimensions + +Materialization optimization hierarchy: +1. Find cube with availability -> query directly (most optimal) +2. Find pre-agg tables -> roll up with merge functions +3. Compute from source tables (fallback) +""" + +from datajunction_server.construction.build_v3.builder import ( + build_measures_sql, + build_metrics_sql, +) +from datajunction_server.construction.build_v3.cube_matcher import ( + build_sql_from_cube, + find_matching_cube, + resolve_dialect_and_engine_for_metrics, +) +from datajunction_server.construction.build_v3.types import ( + BuildContext, + ColumnMetadata, + GeneratedMeasuresSQL, + GeneratedSQL, + GrainGroupSQL, + ResolvedExecutionContext, +) +from datajunction_server.construction.build_v3.alias_registry import AliasRegistry +from datajunction_server.construction.build_v3.combiners import ( + build_combiner_sql, + CombinedGrainGroupResult, + validate_grain_groups_compatible, +) + +__all__ = [ + # Main entry points + "build_measures_sql", + "build_metrics_sql", + # Cube matching (Layer 1) + "find_matching_cube", + "build_sql_from_cube", + "resolve_dialect_and_engine_for_metrics", + # Combiners + "build_combiner_sql", + "CombinedGrainGroupResult", + "validate_grain_groups_compatible", + # Context and types + "BuildContext", + "GeneratedSQL", + "GeneratedMeasuresSQL", + "GrainGroupSQL", + "ColumnMetadata", + "ResolvedExecutionContext", + # Alias registry + "AliasRegistry", +] diff --git a/datajunction-server/datajunction_server/construction/build_v3/alias_registry.py b/datajunction-server/datajunction_server/construction/build_v3/alias_registry.py new file mode 100644 index 000000000..5dfd97551 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/alias_registry.py @@ -0,0 +1,191 @@ +""" +This module provides the AliasRegistry class which maps semantic names +(like 'orders.customer.country') to clean SQL aliases (like 'country'). +""" + +from __future__ import annotations + +import re + + +class AliasRegistry: + """ + Maps semantic names to clean, unique SQL aliases. + + The registry tries to produce the shortest unique alias: + - 'orders.customer.country' -> 'country' (if unique) + - 'orders.customer.country' -> 'customer_country' (if 'country' taken) + - 'orders.customer.country' -> 'orders_customer_country' (if both taken) + - 'orders.customer.country' -> 'country_1' (fallback with numeric suffix) + + Role support: + - 'v3.location.country[from]' -> 'country_from' (role incorporated into alias) + - 'v3.location.country[to]' -> 'country_to' + - 'v3.date.year[customer->registration]' -> 'year_registration' (last part of role path) + + Usage: + registry = AliasRegistry() + + alias1 = registry.register('orders.customer.country') # -> 'country' + alias2 = registry.register('users.country') # -> 'users_country' (conflict) + alias3 = registry.register('v3.location.country[from]') # -> 'country_from' + alias4 = registry.register('v3.location.country[to]') # -> 'country_to' + + # Later, look up the alias + alias = registry.get_alias('orders.customer.country') # -> 'country' + semantic = registry.get_semantic('country') # -> 'orders.customer.country' + """ + + # Characters that are not valid in SQL identifiers (will be replaced with _) + INVALID_CHARS = re.compile(r"[^a-zA-Z0-9_]") + + # Pattern to extract role from semantic name: "node.column[role]" or "node.column[hop->role]" + ROLE_PATTERN = re.compile(r"^(.+)\[([^\]]+)\]$") + + def __init__(self): + self._semantic_to_alias: dict[str, str] = {} + self._alias_to_semantic: dict[str, str] = {} + self._used_aliases: set[str] = set() + + def register(self, semantic_name: str) -> str: + """ + Register a semantic name and return its SQL alias. + + If already registered, returns the existing alias. + Otherwise, generates a new unique alias. + + Args: + semantic_name: Full semantic name (e.g., 'orders.customer.country') + + Returns: + Clean SQL alias (e.g., 'country') + """ + # Return existing alias if already registered + if semantic_name in self._semantic_to_alias: + return self._semantic_to_alias[semantic_name] + + # Generate a new unique alias + alias = self._generate_alias(semantic_name) + self._register(semantic_name, alias) + return alias + + def get_alias(self, semantic_name: str) -> str | None: + """Get the alias for a semantic name, or None if not registered.""" + return self._semantic_to_alias.get(semantic_name) + + def get_semantic(self, alias: str) -> str | None: + """Get the semantic name for an alias, or None if not found.""" + return self._alias_to_semantic.get(alias) + + def is_registered(self, semantic_name: str) -> bool: + """Check if a semantic name is already registered.""" + return semantic_name in self._semantic_to_alias + + def _register(self, semantic_name: str, alias: str) -> None: + """Internal: register a semantic name -> alias mapping.""" + self._semantic_to_alias[semantic_name] = alias + self._alias_to_semantic[alias] = semantic_name + self._used_aliases.add(alias) + + def _generate_alias(self, semantic_name: str) -> str: + """ + Generate a unique alias for a semantic name. + + Strategy: + 1. Extract role if present: 'v3.location.country[from]' -> base='v3.location.country', role='from' + 2. If role exists, always include it: 'country_from' (for clarity and predictability) + 3. If no role, try the last part: 'orders.customer.country' -> 'country' + 4. Try progressively longer suffixes: 'customer_country', 'orders_customer_country' + 5. Fall back to numeric suffix: 'country_1', 'country_2', ... + """ + # Extract role if present (e.g., "v3.location.country[from]" -> base, role="from") + base_name = semantic_name + role_suffix = None + + role_match = self.ROLE_PATTERN.match(semantic_name) + if role_match: + base_name = role_match.group(1) + role_path = role_match.group(2) + # For multi-hop roles like "customer->registration", use the last part + role_suffix = self._clean_part(role_path.split("->")[-1]) + + # Split on dots and clean each part + parts = [self._clean_part(p) for p in base_name.split(".")] + parts = [p for p in parts if p] # Remove empty parts + + if not parts: + # Edge case: empty or all-invalid name + return self._generate_fallback_alias("col") + + base_column = parts[-1] + + # If role exists, ALWAYS include it in the alias for clarity + if role_suffix: + candidate = f"{base_column}_{role_suffix}" + if candidate not in self._used_aliases: + return candidate + # If that's taken, try with more qualification + for i in range(1, len(parts)): + candidate = "_".join(parts[-(i + 1) :]) + f"_{role_suffix}" + if candidate not in self._used_aliases: + return candidate + # Fallback with numeric suffix + return self._generate_fallback_alias(f"{base_column}_{role_suffix}") + + # No role: try just the column name + if base_column not in self._used_aliases: + return base_column + + # Try progressively longer suffixes from the base path + for i in range(1, len(parts)): + candidate = "_".join(parts[-(i + 1) :]) + if candidate not in self._used_aliases: + return candidate + + # Numeric suffix fallback + return self._generate_fallback_alias(base_column) + + def _generate_fallback_alias(self, base: str) -> str: + """Generate an alias with numeric suffix.""" + counter = 1 + while f"{base}_{counter}" in self._used_aliases: + counter += 1 + return f"{base}_{counter}" + + def _clean_part(self, part: str) -> str: + """ + Clean a name part to be a valid SQL identifier. + + - Replace invalid characters with underscores + - Remove leading/trailing underscores + - Collapse multiple underscores + """ + # Replace invalid chars with underscore + cleaned = self.INVALID_CHARS.sub("_", part) + + # Collapse multiple underscores + while "__" in cleaned: + cleaned = cleaned.replace("__", "_") + + # Remove leading/trailing underscores + cleaned = cleaned.strip("_") + + return cleaned + + def all_mappings(self) -> dict[str, str]: + """Return all semantic -> alias mappings.""" + return dict(self._semantic_to_alias) + + def clear(self) -> None: + """Clear all registrations.""" + self._semantic_to_alias.clear() + self._alias_to_semantic.clear() + self._used_aliases.clear() + + def __len__(self) -> int: + """Number of registered aliases.""" + return len(self._semantic_to_alias) + + def __contains__(self, semantic_name: str) -> bool: + """Check if a semantic name is registered.""" + return semantic_name in self._semantic_to_alias diff --git a/datajunction-server/datajunction_server/construction/build_v3/builder.py b/datajunction-server/datajunction_server/construction/build_v3/builder.py new file mode 100644 index 000000000..964d145cc --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/builder.py @@ -0,0 +1,375 @@ +""" +SQL Generation (V3): Measures and Metrics SQL Builders. +""" + +from __future__ import annotations + +import logging + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.construction.build_v3.cube_matcher import ( + build_sql_from_cube_impl, + find_matching_cube, +) +from datajunction_server.construction.build_v3.cte import ( + detect_window_metrics_requiring_grain_groups, +) +from datajunction_server.construction.build_v3.decomposition import ( + decompose_and_group_metrics, +) +from datajunction_server.construction.build_v3.loaders import ( + load_nodes, + load_available_preaggs, +) +from datajunction_server.construction.build_v3.measures import ( + build_window_metric_grain_groups, + process_metric_group, +) +from datajunction_server.construction.build_v3.metrics import ( + generate_metrics_sql, +) +from datajunction_server.construction.build_v3.types import ( + BuildContext, + GeneratedMeasuresSQL, + GeneratedSQL, + GrainGroupSQL, +) +from datajunction_server.construction.build_v3.utils import ( + add_dimensions_from_metric_expressions, +) +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.dialect import Dialect +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse + +logger = logging.getLogger(__name__) + + +def apply_orderby_limit( + result: GeneratedSQL, + orderby: list[str] | None, + limit: int | None, +) -> GeneratedSQL: + """ + Apply ORDER BY and LIMIT clauses to the generated SQL. + + Args: + result: The GeneratedSQL object with the query AST + orderby: List of ORDER BY expressions using semantic names + (e.g., ["v3.date.month DESC", "v3.total_revenue"]) + limit: Maximum number of rows to return + + Returns: + Modified GeneratedSQL with ORDER BY and LIMIT applied + """ + if not orderby and limit is None: + return result + + select = result.query.select + + # Apply ORDER BY + if orderby: + # Build mapping from semantic_name -> output column name + semantic_to_output: dict[str, str] = { + col.semantic_name: col.name for col in result.columns + } + + # Parse the orderby expressions + orderby_str = ",".join(orderby) + parsed = parse(f"SELECT 1 ORDER BY {orderby_str}") + sort_items = ( + parsed.select.organization.order if parsed.select.organization else [] + ) + + resolved_sort_items = [] + for sort_item in sort_items: + # Get semantic name from the sort expression + if isinstance(sort_item.expr, ast.Column): + semantic_name = sort_item.expr.identifier() + else: # pragma: no cover + semantic_name = str(sort_item.expr) + + if semantic_name in semantic_to_output: + output_col_name = semantic_to_output[semantic_name] + # Use simple column reference to output alias + resolved_sort_items.append( + ast.SortItem( + expr=ast.Column(name=ast.Name(output_col_name)), + asc=sort_item.asc, + nulls=sort_item.nulls, + ), + ) + else: + logger.warning( + f"[BuildV3] ORDER BY '{semantic_name}' not found in columns, skipping", + ) + + if resolved_sort_items: + select.organization = ast.Organization(order=resolved_sort_items) + + # Apply LIMIT + if limit is not None: + select.limit = ast.Number(limit) + + return result + + +async def setup_build_context( + session: AsyncSession, + metrics: list[str], + dimensions: list[str], + filters: list[str] | None = None, + dialect: Dialect = Dialect.SPARK, + use_materialized: bool = True, + include_temporal_filters: bool = False, + lookback_window: str | None = None, +) -> BuildContext: + """ + Create and initialize a BuildContext with all setup done. + + This is the single source of truth for loading nodes and decomposing metrics. + After this returns, ctx has: + - nodes loaded + - metric_groups populated + - decomposed_metrics populated + - dimensions updated with any auto-added dims from metric expressions + + Args: + session: Database session + metrics: List of metric node names + dimensions: List of dimension names + filters: Optional list of filter expressions + dialect: SQL dialect for output + use_materialized: Whether to use materialized tables + include_temporal_filters: Whether to add temporal filters + lookback_window: Lookback window for temporal filters + + Returns: + Fully initialized BuildContext + """ + ctx = BuildContext( + session=session, + metrics=metrics, + dimensions=list(dimensions), + filters=filters or [], + dialect=dialect, + use_materialized=use_materialized, + include_temporal_filters=include_temporal_filters, + lookback_window=lookback_window, + ) + + # Load all required nodes (single DB round trip) + await load_nodes(ctx) + + # Validate we have at least one metric + if not ctx.metrics: + raise DJInvalidInputException("At least one metric is required") + + # Decompose metrics and group by parent node + ctx.metric_groups, ctx.decomposed_metrics = await decompose_and_group_metrics(ctx) + + # Add dimensions referenced in metric expressions (e.g., LAG ORDER BY) + add_dimensions_from_metric_expressions(ctx, ctx.decomposed_metrics) + + # Load any missing dimension nodes (and their upstreams, including sources) + # This is needed for dimensions discovered from metric expressions + # load_nodes adds to ctx.nodes rather than replacing, so this is safe to call again + await load_nodes(ctx) + + return ctx + + +async def build_measures_sql( + session: AsyncSession, + metrics: list[str], + dimensions: list[str], + filters: list[str] | None = None, + dialect: Dialect = Dialect.SPARK, + use_materialized: bool = True, + include_temporal_filters: bool = False, + lookback_window: str | None = None, +) -> GeneratedMeasuresSQL: + """ + Build measures SQL for a set of metrics, dimensions, and filters. + + Measures SQL represents the first stage of metric computation - it decomposes + each metric into its atomic aggregation components (e.g., SUM(amount), COUNT(*)), + groups these components by their parent fact and aggregability level, and then + builds SQL that aggregates these components to the requested dimensional grain. + + Args: + session: Database session + metrics: List of metric node names + dimensions: List of dimension names (format: "node.column" or "node.column[role]") + filters: Optional list of filter expressions + dialect: SQL dialect for output + use_materialized: If True (default), use materialized tables when available. + Set to False when generating SQL for materialization refresh to avoid + circular references. + include_temporal_filters: If True, adds DJ_LOGICAL_TIMESTAMP() filters on + temporal partition columns of source nodes. Used for incremental + materialization to ensure partition pruning. + lookback_window: Lookback window for temporal filters (e.g., "3 DAY"). + If not provided, filters to exactly the logical timestamp partition. + + Returns: + GeneratedMeasuresSQL with one GrainGroupSQL per aggregation level, + plus context and decomposed metrics for efficient reuse by build_metrics_sql + """ + # Setup context (loads nodes, decomposes metrics, adds dimensions from expressions) + ctx = await setup_build_context( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters, + dialect=dialect, + use_materialized=use_materialized, + include_temporal_filters=include_temporal_filters, + lookback_window=lookback_window, + ) + + # Build grain groups from context + return await build_grain_groups(ctx, metrics) + + +async def build_grain_groups( + ctx: BuildContext, + metrics: list[str], +) -> GeneratedMeasuresSQL: + """ + Build grain groups from a fully initialized BuildContext. + + This is the shared grain group building logic used by both + build_measures_sql and build_metrics_sql (non-cube path). + + Args: + ctx: Fully initialized BuildContext (from setup_build_context) + metrics: Original metrics list (for sanity checks) + + Returns: + GeneratedMeasuresSQL with grain groups + """ + # Load available pre-aggregations (if use_materialized=True) + await load_available_preaggs(ctx) + + # Process each metric group into grain group SQLs + # Cross-fact metrics produce separate grain groups (one per parent node) + all_grain_group_sqls: list[GrainGroupSQL] = [] + for metric_group in ctx.metric_groups: + grain_group_sqls = process_metric_group(ctx, metric_group) + all_grain_group_sqls.extend(grain_group_sqls) + + # Sanity check: all requested metrics should already be decomposed + for metric_name in metrics: + if metric_name not in ctx.decomposed_metrics: # pragma: no cover + logger.warning( + f"[BuildV3] Metric {metric_name} was not decomposed - this indicates a bug", + ) + + # Sanity check: all metrics in grain groups should already be decomposed + all_grain_group_metrics = set() + for gg in all_grain_group_sqls: + all_grain_group_metrics.update(gg.metrics) + + for metric_name in all_grain_group_metrics: + if metric_name not in ctx.decomposed_metrics: # pragma: no cover + logger.warning( + f"[BuildV3] Grain group metric {metric_name} was not decomposed - " + "this indicates a bug", + ) + + # Detect window metrics that require grain-level grain groups (LAG/LEAD) + # These are period-over-period metrics that need aggregation at the ORDER BY grain + window_metric_grains = detect_window_metrics_requiring_grain_groups( + ctx, + ctx.decomposed_metrics, + all_grain_group_metrics, + ) + + # Build additional grain groups for window metrics at their ORDER BY grains + # These are pre-aggregated at coarser grains (e.g., weekly) for LAG/LEAD to work + # Each grain group goes through pre-agg matching, so if a pre-agg exists at that + # grain (e.g., weekly), it will be used instead of re-scanning source tables + if window_metric_grains: + window_grain_groups = build_window_metric_grain_groups( + ctx, + window_metric_grains, + all_grain_group_sqls, + ctx.decomposed_metrics, + ) + all_grain_group_sqls.extend(window_grain_groups) + + return GeneratedMeasuresSQL( + grain_groups=all_grain_group_sqls, + dialect=ctx.dialect, + requested_dimensions=ctx.dimensions, + ctx=ctx, + decomposed_metrics=ctx.decomposed_metrics, + window_metric_grains=window_metric_grains, + ) + + +async def build_metrics_sql( + session: AsyncSession, + metrics: list[str], + dimensions: list[str], + filters: list[str] | None = None, + orderby: list[str] | None = None, + limit: int | None = None, + dialect: Dialect = Dialect.SPARK, + use_materialized: bool = True, +) -> GeneratedSQL: + """ + Build metrics SQL for a set of metrics and dimensions. + + Metrics SQL applies final metric expressions on top of measures, including + handling derived metrics. It produces a single executable query with the + following layers: + + Layer 1: Measures + (a) Checks if a materialized cube as the source of measures is available. + If so, it uses the cube's availability table as the source of measures. + (b) Otherwise, it generates measures SQL output as CTEs from either the + pre-aggregated tables or the source tables, and joins the grain groups + if metrics come from different facts/aggregabilities. + Layer 2: Base Metrics + Applies combiner expressions for multi-component metrics. + Layer 3: Derived Metrics + Computes derived metrics that reference other metrics. + """ + # Setup context (loads nodes, decomposes metrics, adds dimensions from expressions) + ctx = await setup_build_context( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters, + dialect=dialect, + use_materialized=use_materialized, + ) + + # Try cube match - if found, use cube path + if use_materialized: + cube = await find_matching_cube( + session, + metrics, + dimensions, + require_availability=True, + ) + if cube: + logger.info(f"[BuildV3] Layer 1: Using cube {cube.name}") + result = build_sql_from_cube_impl(ctx, cube, ctx.decomposed_metrics) + return apply_orderby_limit(result, orderby, limit) + + # No cube - build grain groups + measures_result = await build_grain_groups(ctx, metrics) + + if not measures_result.grain_groups: # pragma: no cover + raise DJInvalidInputException("No grain groups produced from measures SQL") + + result = generate_metrics_sql( + ctx, + measures_result, + ctx.decomposed_metrics, + ) + return apply_orderby_limit(result, orderby, limit) diff --git a/datajunction-server/datajunction_server/construction/build_v3/combiners.py b/datajunction-server/datajunction_server/construction/build_v3/combiners.py new file mode 100644 index 000000000..c310b56d9 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/combiners.py @@ -0,0 +1,847 @@ +""" +Combiners Module for V3 SQL Builder. + +This module provides functions for combining multiple grain groups into a single +SQL query using FULL OUTER JOIN on shared dimensions. This is used for: + +1. GET /sql/measures/v3/combined - Returns SQL that combines grain groups +2. POST /cubes/{name}/materialize - Generates combiner SQL for Druid ingestion + +The combiner SQL: +- Uses FULL OUTER JOIN to combine grain groups on shared dimensions +- COALESCEs shared dimension columns to handle NULLs from outer joins +- Includes all measures from all grain groups (without applying metric expressions) +- Does NOT apply final metric aggregations (Druid handles that) +""" + +from __future__ import annotations + +import logging +from dataclasses import dataclass, field +from typing import TYPE_CHECKING + +from datajunction_server.models.decompose import MetricComponent +from datajunction_server.construction.build_v3.preagg_matcher import ( + get_temporal_partitions, +) +from datajunction_server.database.preaggregation import ( + PreAggregation, + compute_grain_group_hash, +) + +from datajunction_server.construction.build_v3.cte import ( + process_metric_combiner_expression, +) +from datajunction_server.construction.build_v3.types import GrainGroupSQL +from datajunction_server.construction.build_v3.utils import build_join_from_clause +from datajunction_server.models.column import SemanticType +from datajunction_server.models.query import V3ColumnMetadata +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.ast import render_for_dialect, to_sql +from datajunction_server.construction.build_v3.builder import build_measures_sql +from datajunction_server.models.dialect import Dialect +from datajunction_server.utils import get_settings + +if TYPE_CHECKING: + pass + +logger = logging.getLogger(__name__) + + +@dataclass +class CombinedGrainGroupResult: + """ + Result of combining multiple grain groups. + + Contains the combined SQL query and metadata about what was combined. + """ + + query: ast.Query # The combined SQL query AST + columns: list[V3ColumnMetadata] # Output column metadata + grain_groups_combined: int # Number of grain groups that were combined + shared_dimensions: list[str] # Dimension columns used in JOIN + all_measures: list[str] # All measure columns in output + # Metric components with aggregation info (for materialization) + measure_components: list["MetricComponent"] = field(default_factory=list) + # Mapping from component name to output column alias + # e.g., {"account_id_hll_e7b21ce4": "approx_unique_accounts_rating"} + component_aliases: dict[str, str] = field(default_factory=dict) + # Mapping from metric name to combiner expression SQL + # e.g., {"v3.avg_rating": "SUM(rating_sum_abc123) / SUM(rating_count_def456)"} + metric_combiners: dict[str, str] = field(default_factory=dict) + # Dialect for rendering SQL (used for dialect-specific function names) + dialect: Dialect = Dialect.SPARK + + @property + def sql(self) -> str: + """Render the query AST to SQL string for the target dialect.""" + return to_sql(self.query, self.dialect) + + +def build_combiner_sql( + grain_groups: list[GrainGroupSQL], + output_table_names: list[str] | None = None, +) -> CombinedGrainGroupResult: + """ + Build SQL that combines multiple grain groups with FULL OUTER JOIN. + + This function generates a query like: + SELECT + COALESCE(gg1.dim1, gg2.dim1) AS dim1, + COALESCE(gg1.dim2, gg2.dim2) AS dim2, + gg1.measure_a, + gg1.measure_b, + gg2.measure_c, + gg2.measure_d + FROM grain_group_1 gg1 + FULL OUTER JOIN grain_group_2 gg2 + ON gg1.dim1 = gg2.dim1 AND gg1.dim2 = gg2.dim2 + + Args: + grain_groups: List of GrainGroupSQL objects to combine. + output_table_names: Optional list of table names/aliases for each grain group. + If not provided, generates aliases like gg1, gg2, etc. + + Returns: + CombinedGrainGroupResult with the combined query and metadata. + + Raises: + ValueError: If grain_groups is empty or grains don't match. + """ + if not grain_groups: + raise ValueError("At least one grain group is required") + + # Single grain group - no combination needed + if len(grain_groups) == 1: + return _single_grain_group_result(grain_groups[0]) + + # Multiple grain groups - combine with FULL OUTER JOIN + return _combine_multiple_grain_groups(grain_groups, output_table_names) + + +def _single_grain_group_result(grain_group: GrainGroupSQL) -> CombinedGrainGroupResult: + """ + Handle the single grain group case - no JOIN needed. + + Returns the grain group's query wrapped in a result object. + """ + # Extract dimension and measure columns + dimension_cols = [] + measure_cols = [] + + for col in grain_group.columns: + if col.semantic_type in ("dimension", "metric_input"): + dimension_cols.append(col.name) + elif col.semantic_type in ("metric_component", "measure", "metric"): + measure_cols.append(col.name) + + # Build V3ColumnMetadata from GrainGroupSQL.columns + output_columns = [ + V3ColumnMetadata( + name=col.name, + type=col.type, + semantic_name=col.semantic_name, + semantic_type=col.semantic_type, + ) + for col in grain_group.columns + ] + + return CombinedGrainGroupResult( + query=grain_group.query, + columns=output_columns, + grain_groups_combined=1, + shared_dimensions=grain_group.grain, + all_measures=measure_cols, + measure_components=grain_group.components, + component_aliases=grain_group.component_aliases, + dialect=grain_group.dialect, + ) + + +def _combine_multiple_grain_groups( + grain_groups: list[GrainGroupSQL], + output_table_names: list[str] | None = None, +) -> CombinedGrainGroupResult: + """ + Combine multiple grain groups using FULL OUTER JOIN. + + Uses CTEs to define each grain group, then joins them in the final SELECT. + This follows the same pattern as metrics.py for cross-fact metrics. + """ + # Generate CTE aliases if not provided + if output_table_names is None: + output_table_names = [f"gg{i + 1}" for i in range(len(grain_groups))] + + # Validate all grain groups have the same grain (dimensions) + # Preserve order from the first grain group + first_grain = grain_groups[0].grain + reference_grain_set = set(first_grain) + + for i, gg in enumerate(grain_groups[1:], 2): + if set(gg.grain) != reference_grain_set: + logger.warning( + "Grain groups have different grains: %s vs %s. " + "Using intersection for JOIN.", + reference_grain_set, + set(gg.grain), + ) + reference_grain_set = reference_grain_set.intersection(set(gg.grain)) + + # Preserve order from first grain group, filtering to only shared columns + shared_grain = [g for g in first_grain if g in reference_grain_set] + + # Create CTEs for each grain group + ctes = _create_ctes(grain_groups, output_table_names) + + # Create table references for each CTE (used in projections) + table_refs = {name: ast.Table(name=ast.Name(name)) for name in output_table_names} + + # Build COALESCE expressions for shared dimensions + dimension_projections = _build_coalesced_dimensions( + grain_groups, + output_table_names, + table_refs, + shared_grain, + ) + + # Build measure projections (each measure from its source grain group) + measure_projections, all_measures = _build_measure_projections( + grain_groups, + output_table_names, + table_refs, + ) + + # Build FROM clause with FULL OUTER JOINs (referencing CTEs by name) + from_clause = build_join_from_clause( + output_table_names, + table_refs, + shared_grain, + ) + + # Combine all projections + all_projections = dimension_projections + measure_projections # type: ignore + + # Build the final query with CTEs + combined_query = ast.Query( + select=ast.Select( + projection=all_projections, # type: ignore + from_=from_clause, + ), + ctes=ctes, + ) + + # Build output column metadata + output_columns = _build_output_columns( + grain_groups, + shared_grain, + all_measures, + ) + + # Collect all components and aliases from all grain groups + all_components = [] + all_component_aliases: dict[str, str] = {} + for gg in grain_groups: + all_components.extend(gg.components) + all_component_aliases.update(gg.component_aliases) + + # Use dialect from the first grain group (all should have same dialect) + dialect = grain_groups[0].dialect if grain_groups else Dialect.SPARK + + return CombinedGrainGroupResult( + query=combined_query, + columns=output_columns, + grain_groups_combined=len(grain_groups), + shared_dimensions=shared_grain, + all_measures=all_measures, + measure_components=all_components, + component_aliases=all_component_aliases, + dialect=dialect, + ) + + +def _create_ctes( + grain_groups: list[GrainGroupSQL], + cte_names: list[str], +) -> list[ast.Query]: + """ + Create CTEs (Common Table Expressions) for each grain group. + + Each grain group's query becomes a CTE with the given alias. + Uses the Query.to_cte() method to properly format the CTE with + parentheses and AS keyword. + """ + from copy import deepcopy + + # First, collect all nested CTEs from all grain groups (deduplicated) + nested_ctes: list[ast.Query] = [] + seen_cte_names: set[str] = set() + + for gg in grain_groups: + if gg.query.ctes: + for nested_cte in gg.query.ctes: + # CTE name is stored in the alias attribute (set by to_cte method) + cte_name = nested_cte.alias.name if nested_cte.alias else None + if cte_name and cte_name not in seen_cte_names: + seen_cte_names.add(cte_name) + nested_ctes.append(deepcopy(nested_cte)) + + # Then create the grain group CTEs + grain_group_ctes = [] + for gg, name in zip(grain_groups, cte_names): + # Deep copy the query to avoid mutating the original + cte_query = deepcopy(gg.query) + # Clear nested CTEs from this query (they're now at top level) + cte_query.ctes = [] + # Convert to CTE format (adds parentheses, AS keyword, etc.) + cte_query.to_cte(ast.Name(name)) + grain_group_ctes.append(cte_query) + + # Return nested CTEs first, then grain group CTEs + return nested_ctes + grain_group_ctes + + +def _build_coalesced_dimensions( + grain_groups: list[GrainGroupSQL], + table_names: list[str], + table_refs: dict[str, ast.Table], + shared_grain: list[str], +) -> list[ast.Aliasable]: + """ + Build COALESCE expressions for shared dimensions. + + Example output: + COALESCE(gg1.date_id, gg2.date_id, gg3.date_id) AS date_id + """ + projections = [] + + for grain_col in shared_grain: + coalesce_args: list[ast.Expression] = [ + ast.Column( + name=ast.Name(grain_col), + _table=table_refs.get(name), + ) + for name in table_names + ] + + coalesce_expr = ast.Function( + name=ast.Name("COALESCE"), + args=coalesce_args, + ).set_alias(alias=ast.Name(grain_col)) + + projections.append(coalesce_expr) + + return projections # type: ignore + + +def _build_measure_projections( + grain_groups: list[GrainGroupSQL], + table_names: list[str], + table_refs: dict[str, ast.Table], +) -> tuple[list[ast.Column], list[str]]: + """ + Build projections for all measures from all grain groups. + + Each measure is qualified with its source table alias. + Returns (projections, list of measure names). + """ + projections = [] + all_measures = [] + seen_measures = set() + + for gg, name in zip(grain_groups, table_names): + for col in gg.columns: + # Only include measure/component columns, not dimensions + if col.semantic_type not in ("metric_component", "measure", "metric"): + continue + + # Track the measure name for output metadata + if col.name not in seen_measures: + all_measures.append(col.name) + seen_measures.add(col.name) + + # Create qualified column reference + measure_col = ast.Column( + name=ast.Name(col.name), + _table=table_refs.get(name), + semantic_type=SemanticType.MEASURE, + ) + + projections.append(measure_col) + + return projections, all_measures + + +def _build_output_columns( + grain_groups: list[GrainGroupSQL], + shared_grain: list[str], + all_measures: list[str], +) -> list[V3ColumnMetadata]: + """ + Build output column metadata for the combined query. + """ + columns = [] + seen_columns = set() + + # Add dimension columns (from shared grain) + # Use the first grain group's metadata for types + first_gg = grain_groups[0] + col_metadata_lookup = {col.name: col for col in first_gg.columns} + + for grain_col in shared_grain: + if grain_col in seen_columns: + continue # pragma: no cover + + col_meta = col_metadata_lookup.get(grain_col) + if col_meta: + columns.append( # pragma: no cover + V3ColumnMetadata( + name=grain_col, + type=col_meta.type, + semantic_name=col_meta.semantic_name, + semantic_type="dimension", + ), + ) + seen_columns.add(grain_col) + + # Add measure columns + # Look up metadata from whichever grain group has the measure + all_col_metadata = {} + for gg in grain_groups: + for col in gg.columns: + if col.name not in all_col_metadata: + all_col_metadata[col.name] = col + + for measure_name in all_measures: + if measure_name in seen_columns: + continue # pragma: no cover + + col_meta = all_col_metadata.get(measure_name) + if col_meta: # pragma: no branch + columns.append( + V3ColumnMetadata( + name=measure_name, + type=col_meta.type, + semantic_name=col_meta.semantic_name, + semantic_type="metric_component", + ), + ) + seen_columns.add(measure_name) + + return columns + + +def validate_grain_groups_compatible( + grain_groups: list[GrainGroupSQL], +) -> tuple[bool, str | None]: + """ + Validate that grain groups can be combined. + + Grain groups are compatible if they share the same set of grain columns + (the dimensions they're aggregated to). + + Args: + grain_groups: List of grain groups to validate. + + Returns: + (is_valid, error_message) tuple. + """ + if not grain_groups: + return False, "No grain groups provided" + + if len(grain_groups) == 1: + return True, None + + reference_grain = set(grain_groups[0].grain) + for i, gg in enumerate(grain_groups[1:], 2): + current_grain = set(gg.grain) + if current_grain != reference_grain: + return ( + False, + f"Grain group {i} has different grain {current_grain} " + f"than grain group 1 {reference_grain}", + ) + + return True, None + + +# ============================================================================= +# Pre-Agg Table Reference Functions +# ============================================================================= + + +def _compute_preagg_table_name(parent_name: str, grain_group_hash: str) -> str: + """ + Compute the deterministic pre-agg table name. + + Format: {node_short}_preagg_{hash[:8]} + """ + node_short = parent_name.replace(".", "_") + return f"{node_short}_preagg_{grain_group_hash[:8]}" + + +@dataclass +class TemporalPartitionInfo: + """Temporal partition info extracted from pre-agg source nodes.""" + + column_name: str # Output column name (e.g., "dateint") + format: str | None # Date format (e.g., "yyyyMMdd") + granularity: str | None # Granularity (e.g., "day") + + +async def build_combiner_sql_from_preaggs( + session, + metrics: list[str], + dimensions: list[str], + filters: list[str] | None = None, + dialect=None, +) -> tuple[CombinedGrainGroupResult, list[str], TemporalPartitionInfo | None]: + """ + Build combined SQL that reads from pre-aggregation tables. + + Instead of computing measures from source tables, this generates SQL + that reads from the deterministically-named pre-agg tables. The table + names are computed from settings.preagg_catalog/schema + the grain group hash. + + This is used when source=preagg_tables in the combined endpoint, enabling + Druid cube workflows to wait on pre-agg table VTTS before starting. + + Args: + session: Database session + metrics: List of metric names + dimensions: List of dimension references + filters: Optional filters + dialect: SQL dialect + + Returns: + Tuple of: + - CombinedGrainGroupResult + - list of pre-agg table references + - TemporalPartitionInfo (auto-detected from source nodes, or None if not found) + """ + settings = get_settings() + + # Build measures SQL to get grain groups and their metadata + result = await build_measures_sql( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters, + dialect=dialect or Dialect.SPARK, + use_materialized=False, # We'll manually reference pre-agg tables + ) + + if not result.grain_groups: # pragma: no cover + raise ValueError("No grain groups generated") + + ctx = result.ctx + preagg_table_refs = [] + preagg_grain_groups = [] + temporal_partitions_found: list[TemporalPartitionInfo] = [] + + # Use requested_dimensions (fully qualified) for hash lookup, not gg.grain (aliases) + grain_columns_for_hash = list(result.requested_dimensions) + + for gg in result.grain_groups: + # Get the parent node and its revision ID + parent_node = ctx.nodes.get(gg.parent_name) + if not parent_node or not parent_node.current: # pragma: no cover + raise ValueError(f"Parent node {gg.parent_name} not found") + + node_revision_id = parent_node.current.id + + # Look up the PreAggregation record to get temporal partition info + # Use fully qualified dimensions (requested_dimensions) not aliases (gg.grain) + grain_group_hash = compute_grain_group_hash( + node_revision_id, + grain_columns_for_hash, + ) + preaggs = await PreAggregation.get_by_grain_group_hash( + session, + grain_group_hash, + ) + if preaggs: + # Use get_temporal_partitions from preagg_matcher (reuse existing logic) + for preagg in preaggs: # pragma: no branch + for tp in get_temporal_partitions(preagg): + temporal_partitions_found.append( + TemporalPartitionInfo( + column_name=tp.column_name, + format=tp.format, + granularity=tp.granularity, + ), + ) + break # Only need one preagg per grain group for temporal info + + # Use the same grain_group_hash for the pre-agg table name + # (must match the hash used when the pre-agg was created) + table_name = _compute_preagg_table_name(gg.parent_name, grain_group_hash) + + # Build full table reference + full_table_ref = ( + f"{settings.preagg_catalog}.{settings.preagg_schema}.{table_name}" + ) + preagg_table_refs.append(full_table_ref) + + # Create a modified grain group that reads from the pre-agg table + # We need to build a simple SELECT from the pre-agg table with re-aggregation + preagg_gg = _build_grain_group_from_preagg_table( + gg, + full_table_ref, + ) + preagg_grain_groups.append(preagg_gg) + + # Combine the pre-agg grain groups + combined_result = build_combiner_sql( + preagg_grain_groups, + output_table_names=[f"gg{i + 1}" for i in range(len(preagg_grain_groups))], + ) + + # Populate metric_combiners from decomposed_metrics + # These are the expressions that combine pre-aggregated components into final metric values + # Use the same expression processing as generate_metrics_sql to ensure consistency + # Render in Druid dialect since these are used by viz tools that query Druid directly + # + # Build dimension refs in tuple format: {name: (cte_alias, column_name)} + # For cube queries, cte_alias is empty string (no CTEs, direct column access) + # Note: We don't replace component refs because combiner_ast already has the correct + # component hash names which ARE the column names in the Druid cube output + dimension_refs = { + dim_ref: ("", col_alias) + for dim_ref, col_alias in ctx.alias_registry.all_mappings().items() + } + with render_for_dialect(Dialect.DRUID): + for metric_name, decomposed in result.decomposed_metrics.items(): + # Process the expression using the shared helper function + # This applies the same transformations as generate_metrics_sql: + # - Replace dimension refs (e.g., "v3.date.dateint" -> "dateint") + # - Inject PARTITION BY for window functions + processed_expr = process_metric_combiner_expression( + combiner_ast=decomposed.combiner_ast, + dimension_refs=dimension_refs, + partition_dimensions=combined_result.shared_dimensions, + ) + combined_result.metric_combiners[metric_name] = str(processed_expr) + + # Determine temporal partition info + # If all grain groups agree on temporal partition, use it; otherwise None + temporal_partition_info: TemporalPartitionInfo | None = None + if temporal_partitions_found: + # Check if all found partitions match (same column name) + first = temporal_partitions_found[0] + if all( # pragma: no branch + tp.column_name == first.column_name for tp in temporal_partitions_found + ): + temporal_partition_info = first + + # Reorder columns so partition column is last + # This is required for Hive/Spark INSERT OVERWRITE ... PARTITION (col) syntax + if temporal_partition_info: + combined_result = _reorder_partition_column_last( + combined_result, + temporal_partition_info.column_name, + ) + + return combined_result, preagg_table_refs, temporal_partition_info + + +def _reorder_partition_column_last( + result: CombinedGrainGroupResult, + partition_column: str, +) -> CombinedGrainGroupResult: + """ + Reorder columns so: + 1. Column metadata order matches the actual SQL projection order + 2. The partition column is last (required for Hive/Spark INSERT OVERWRITE PARTITION) + + For Hive/Spark INSERT OVERWRITE ... PARTITION (col) syntax: + - Non-partition columns must match the target table's column order (by position) + - Partition column(s) must be last + + This function: + 1. First synchronizes column metadata to match projection order + 2. Then moves the partition column to the end of both + + Args: + result: The combined grain group result to reorder + partition_column: Name of the partition column to move to the end + + Returns: + A CombinedGrainGroupResult with reordered columns (mutates the input) + """ + # Note: We mutate the input result directly since the caller immediately + # reassigns to the return value and doesn't use the original afterward. + # This avoids expensive deepcopy of AST objects. + + def _get_projection_name(proj: ast.Node) -> str | None: + """Extract the output column name from a projection element.""" + # Aliasable types (Column, Alias) have alias_or_name which prefers alias over name + if isinstance(proj, ast.Aliasable): + return proj.alias_or_name.name + # Named types (Function) have name directly + if isinstance(proj, ast.Named): + return proj.name.name + return None + + # Step 1: Build a mapping from column name to metadata + col_meta_by_name = {col.name: col for col in result.columns} + + # Step 2: Extract projection names in order (this is the canonical order) + projection_names = [ + name + for proj in result.query.select.projection + if (name := _get_projection_name(proj)) + ] + + # Step 3: Reorder column metadata to match projection order + reordered_columns = [ + col_meta_by_name[name] for name in projection_names if name in col_meta_by_name + ] + + result.columns = reordered_columns + + # Step 4: Move partition column to end of both projections and columns + projections = result.query.select.projection + partition_proj = None + other_projs = [] + + for proj in projections: + proj_name = _get_projection_name(proj) + if proj_name == partition_column: + partition_proj = proj + else: + other_projs.append(proj) + + if partition_proj is not None: + result.query.select.projection = other_projs + [partition_proj] + + # Reorder column metadata to match (partition last) + partition_col_meta = None + other_cols = [] + for col in result.columns: + if col.name == partition_column: + partition_col_meta = col + else: + other_cols.append(col) + + if partition_col_meta is not None: + result.columns = other_cols + [partition_col_meta] + + # Also reorder shared_dimensions to put partition column last + if partition_column in result.shared_dimensions: + new_dims = [d for d in result.shared_dimensions if d != partition_column] + new_dims.append(partition_column) + result = CombinedGrainGroupResult( + query=result.query, + columns=result.columns, + grain_groups_combined=result.grain_groups_combined, + shared_dimensions=new_dims, + all_measures=result.all_measures, + measure_components=result.measure_components, + component_aliases=result.component_aliases, + metric_combiners=result.metric_combiners, + dialect=result.dialect, + ) + + return result + + +def _build_grain_group_from_preagg_table( + original_gg: GrainGroupSQL, + preagg_table_ref: str, +) -> GrainGroupSQL: + """ + Build a GrainGroupSQL that reads from a pre-agg table. + + The generated SQL is: + SELECT dim1, dim2, SUM(measure1) AS measure1, ... + FROM preagg_table + GROUP BY dim1, dim2 + + Args: + original_gg: The original grain group (for metadata) + preagg_table_ref: Full pre-agg table reference (catalog.schema.table) + + Returns: + GrainGroupSQL with query reading from pre-agg table + """ + from datajunction_server.construction.build_v3.types import ColumnMetadata + + # Build SELECT columns + select_items: list[ast.Aliasable | ast.Expression | ast.Column] = [] + group_by_cols: list[str] = [] + + # Add dimension columns + for grain_col in original_gg.grain: + col_ref = ast.Column(name=ast.Name(grain_col)) + select_items.append(col_ref) + group_by_cols.append(grain_col) + + # Add measure columns with re-aggregation + for col in original_gg.columns: + if col.semantic_type in ("metric_component", "measure", "metric"): + col_ref = ast.Column(name=ast.Name(col.name)) + + # Find the component to get the merge function + merge_func = None + for comp in original_gg.components: + if ( # pragma: no branch + comp.name == col.name + or original_gg.component_aliases.get(comp.name) == col.name + ): + merge_func = comp.merge + break + + if merge_func: + # Apply re-aggregation + agg_expr = ast.Function( + name=ast.Name(merge_func), + args=[col_ref], + ) + aliased = ast.Alias(child=agg_expr, alias=ast.Name(col.name)) + select_items.append(aliased) + else: + # No merge function - just select the column + select_items.append(col_ref) + + # Build GROUP BY + group_by: list[ast.Expression] = [ + ast.Column(name=ast.Name(col)) for col in group_by_cols + ] + + # Build FROM clause + from_clause = ast.From.Table(preagg_table_ref) + + # Build SELECT statement + select = ast.Select( + projection=select_items, + from_=from_clause, + group_by=group_by if group_by else [], + ) + + # Build the query + query = ast.Query(select=select) + + # Create new ColumnMetadata with correct types + new_columns = [ + ColumnMetadata( + name=col.name, + semantic_name=col.semantic_name, + type=col.type, + semantic_type=col.semantic_type, + ) + for col in original_gg.columns + ] + + return GrainGroupSQL( + query=query, + columns=new_columns, + grain=original_gg.grain, + aggregability=original_gg.aggregability, + metrics=original_gg.metrics, + parent_name=original_gg.parent_name, + component_aliases=original_gg.component_aliases, + is_merged=original_gg.is_merged, + component_aggregabilities=original_gg.component_aggregabilities, + components=original_gg.components, + dialect=original_gg.dialect, + ) diff --git a/datajunction-server/datajunction_server/construction/build_v3/cte.py b/datajunction-server/datajunction_server/construction/build_v3/cte.py new file mode 100644 index 000000000..c087d39e4 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/cte.py @@ -0,0 +1,1063 @@ +""" +CTE building and AST transformation utilities +""" + +from __future__ import annotations + +from copy import deepcopy +from typing import Optional + +from datajunction_server.construction.build_v3.materialization import ( + get_table_reference_parts_with_materialization, + should_use_materialized_table, +) +from datajunction_server.construction.build_v3.types import BuildContext, GrainGroupSQL +from datajunction_server.construction.build_v3.utils import get_cte_name +from datajunction_server.database.node import Node +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing import ast +from datajunction_server.utils import SEPARATOR + + +def get_table_references_from_ast(query_ast: ast.Query) -> set[str]: + """ + Extract all table references from a query AST. + + Returns set of table names (as dotted strings like 'v3.src_orders'). + """ + table_names: set[str] = set() + for table in query_ast.find_all(ast.Table): + # Get the full table name including namespace + table_name = str(table.name) + if table_name: # pragma: no branch + table_names.add(table_name) + return table_names + + +def get_column_full_name(col: ast.Column) -> str: + """ + Get the full dotted name of a column, including its table/namespace. + + For example, a column like v3.date.month returns "v3.date.month". + """ + parts: list[str] = [] + + # Get table prefix if present + if col.table and hasattr(col.table, "alias_or_name"): + table_name = col.table.alias_or_name + if table_name: # pragma: no branch + if isinstance(table_name, str): # pragma: no cover + parts.append(table_name) + else: + # It's an ast.Name with possible namespace + parts.append(table_name.identifier(quotes=False)) + + # Get column name with its namespace chain + if col.name: # pragma: no branch + parts.append(col.name.identifier(quotes=False)) + + return SEPARATOR.join(parts) if parts else "" # pragma: no cover + + +def extract_dimension_node(dim_ref: str) -> str: + """ + Extract the dimension node name from a full dimension reference. + + For example: + "common.dimensions.time.date.dateint" -> "common.dimensions.time.date" + "common.dimensions.time.date.week_code" -> "common.dimensions.time.date" + "v3.product.hw_category" -> "v3.product" + + Args: + dim_ref: Full dimension reference (node.column format) + + Returns: + The dimension node name (everything before the last separator) + """ + parts = dim_ref.rsplit(SEPARATOR, 1) + return parts[0] if len(parts) > 1 else dim_ref + + +def build_alias_to_dimension_node( + dim_info: list[tuple[str, str]], +) -> dict[str, str]: + """ + Build a mapping from column alias to dimension node. + + This is used to determine which aliases belong to the same dimension node, + so that when a window function orders by one attribute of a dimension (e.g., week_code), + we can exclude all attributes of that dimension (e.g., dateint) from PARTITION BY. + + Args: + dim_info: List of (original_dim_ref, col_alias) tuples + e.g., [("common.dimensions.time.date.dateint", "dateint"), + ("common.dimensions.time.date.week_code", "week_code")] + + Returns: + Mapping from alias to dimension node + e.g., {"dateint": "common.dimensions.time.date", + "week_code": "common.dimensions.time.date"} + """ + return { + col_alias: extract_dimension_node(dim_ref) for dim_ref, col_alias in dim_info + } + + +def build_dimension_node_to_aliases( + alias_to_node: dict[str, str], +) -> dict[str, set[str]]: + """ + Build a mapping from dimension node to all its aliases. + + Args: + alias_to_node: Mapping from alias to dimension node + e.g., {"week": "v3.date", "month": "v3.date", "category": "v3.product"} + + Returns: + Mapping from dimension node to set of aliases + e.g., {"v3.date": {"week", "month"}, "v3.product": {"category"}} + """ + node_to_aliases: dict[str, set[str]] = {} + for alias, node in alias_to_node.items(): + if node not in node_to_aliases: + node_to_aliases[node] = set() + node_to_aliases[node].add(alias) + return node_to_aliases + + +def strip_role_suffix(ref: str) -> str: + """ + Strip role suffix like [order], [filter] from a dimension reference. + + For example: + "v3.date.week[order]" -> "v3.date.week" + "v3.date.month" -> "v3.date.month" + """ + if "[" in ref: + return ref.split("[")[0] + return ref + + +def extract_dim_info_from_grain_groups( + grain_groups: list[GrainGroupSQL], +) -> list[tuple[str, str]]: + """ + Extract dimension info (dim_ref, alias) tuples from all grain group columns. + + This includes ALL dimensions in the grain groups, not just user-requested ones. + This is important for window function PARTITION BY logic, which needs to know + about all dimensions from the same dimension node (e.g., date_id, week, month + all come from v3.date). + + Args: + grain_groups: List of grain group SQLs + + Returns: + List of (dim_ref, alias) tuples for all dimension columns + """ + dim_info: list[tuple[str, str]] = [] + seen_aliases: set[str] = set() + + for gg in grain_groups: + for col in gg.columns: + if col.semantic_type == "dimension" and col.name not in seen_aliases: + # Strip role suffix from semantic_name for consistent dimension node extraction + dim_ref = strip_role_suffix(col.semantic_name) + dim_info.append((dim_ref, col.name)) + seen_aliases.add(col.name) + + return dim_info + + +def replace_component_refs_in_ast( + expr_ast: ast.Node, + component_aliases: dict[str, tuple[str, str]], +) -> None: + """ + Replace component name references in an AST with qualified column references. + + Modifies the AST in place. For each Column node in the AST, checks if its + name matches a component name (hash-based like "unit_price_sum_abc123"). + If so, replaces it with a qualified reference like "gg0.actual_col". + + Args: + expr_ast: The AST expression to modify (mutated in place) + component_aliases: Mapping from component name to (table_alias, column_name) + e.g., {"unit_price_sum_abc123": ("gg0", "sum_unit_price")} + """ + for col in expr_ast.find_all(ast.Column): + # Get the column name (might be in name.name or just name) + col_name = col.name.name if col.name else None + if not col_name: # pragma: no cover + continue + + # Check if this column name matches a component + if col_name in component_aliases: # pragma: no branch + table_alias, actual_col = component_aliases[col_name] + # Replace with qualified column reference + col.name = ast.Name(actual_col) + # Only set table if alias is non-empty (empty = no CTE prefix) + col._table = ast.Table(ast.Name(table_alias)) if table_alias else None + + +def replace_metric_refs_in_ast( + expr_ast: ast.Node, + metric_aliases: dict[str, tuple[str, str]], +) -> None: + """ + Replace metric name references in an AST with qualified column references. + + For derived metrics like `avg_order_value = total_revenue / order_count`, + the combiner AST contains references to metric names like `v3.total_revenue`. + This function replaces them with proper CTE column references like `cte.total_revenue`. + + Args: + expr_ast: The AST expression to modify (mutated in place) + metric_aliases: Mapping from metric name to (cte_alias, column_name) + e.g., {"v3.total_revenue": ("order_details_0", "total_revenue")} + """ + for col in expr_ast.find_all(ast.Column): + # Get the full metric name (e.g., "v3.total_revenue") + full_name = get_column_full_name(col) + if not full_name: # pragma: no cover + continue + + # Check if this matches a metric name + if full_name in metric_aliases: + cte_alias, col_name = metric_aliases[full_name] + col.name = ast.Name(col_name) + # Only set table if alias is non-empty (empty = no CTE prefix) + col._table = ast.Table(ast.Name(cte_alias)) if cte_alias else None + + +def replace_dimension_refs_in_ast( + expr_ast: ast.Node, + dimension_refs: dict[str, tuple[str, str]], +) -> None: + """ + Replace dimension references in an AST with CTE-qualified column references. + + Modifies the AST in place. Handles two patterns: + + 1. Simple column references: v3.date.month -> cte.month_order + 2. Subscript (role) references: v3.date.month[order] -> cte.month_order + (SQL parser interprets [role] as array subscript) + + Args: + expr_ast: The AST expression to modify (mutated in place) + dimension_refs: Mapping from dimension refs to (cte_alias, column_name) + e.g., {"v3.date.month": ("base_metrics", "month"), + "v3.date.month[order]": ("base_metrics", "month_order")} + """ + # First pass: handle Subscript nodes (role syntax like v3.date.week[order]) + # SQL parser interprets [order] as array subscript, not DJ role syntax + # We need to reconstruct the dimension ref and replace the whole subscript + for subscript in list(expr_ast.find_all(ast.Subscript)): + if not isinstance(subscript.expr, ast.Column): + continue # pragma: no cover + + # Get the base column name (e.g., "v3.date.week") + base_col_name = get_column_full_name(subscript.expr) + if not base_col_name: # pragma: no cover + continue + + # Get the role from the index (e.g., "order") + role = None + if isinstance(subscript.index, ast.Column): + role = subscript.index.name.name if subscript.index.name else None + elif isinstance(subscript.index, ast.Name): # pragma: no cover + role = subscript.index.name # pragma: no cover + elif hasattr(subscript.index, "name"): # pragma: no cover + role = str(subscript.index.name) # type: ignore + + if not role: # pragma: no cover + continue + + # Build the full dimension ref with role: "v3.date.week[order]" + dim_ref_with_role = f"{base_col_name}[{role}]" + + # Look up in dimension_refs + ref_tuple = None + if dim_ref_with_role in dimension_refs: + ref_tuple = dimension_refs[dim_ref_with_role] # pragma: no cover + elif base_col_name in dimension_refs: # pragma: no branch + # Also try just the base name (if user requested v3.date.week without role) + ref_tuple = dimension_refs[base_col_name] + + if ref_tuple: # pragma: no branch + cte_alias, col_name = ref_tuple + # Replace the Subscript with a column reference using swap + # Only set table if alias is non-empty (empty = no CTE prefix) + replacement = ast.Column( + name=ast.Name(col_name), + _table=ast.Table(ast.Name(cte_alias)) if cte_alias else None, + ) + subscript.swap(replacement) + + # Second pass: handle regular Column references (no subscript) + for col in expr_ast.find_all(ast.Column): + full_name = get_column_full_name(col) + if not full_name: # pragma: no cover + continue + + # Check for exact match first (handles roles like "v3.date.month[order]") + if full_name in dimension_refs: + cte_alias, col_name = dimension_refs[full_name] + # Replace with column reference + col.name = ast.Name(col_name) + # Only set table if alias is non-empty (empty = no CTE prefix) + if cte_alias: + col._table = ast.Table(ast.Name(cte_alias)) + else: + col._table = None + continue + + # Check without role suffix (for base dimension refs) + # The column AST might be just "v3.date.month" but we have "v3.date.month[order]" + for dim_ref, ref_tuple in dimension_refs.items(): + # Match if the dim_ref starts with our full_name and has a role suffix + if dim_ref.startswith(full_name) and ( + dim_ref == full_name or dim_ref[len(full_name)] == "[" + ): # pragma: no cover + cte_alias, col_name = ref_tuple + col.name = ast.Name(col_name) + # Only set table if alias is non-empty (empty = no CTE prefix) + if cte_alias: + col._table = ast.Table(ast.Name(cte_alias)) + else: + col._table = None + break + + +def has_window_function(expr_ast: ast.Node) -> bool: + """ + Check if an AST contains any window function (function with OVER clause). + + Window functions (both aggregate like AVG OVER and navigation like LAG) + require base metrics to be pre-computed before the window function is applied. + + Args: + expr_ast: The AST expression to check + + Returns: + True if the expression contains any window function + """ + for func in expr_ast.find_all(ast.Function): + if func.over: # Has OVER clause = window function + return True + return False + + +# Window functions that need PARTITION BY injection for period-over-period calculations +# These are navigation/ranking functions where comparing across partitions is meaningful +# Aggregate functions (SUM, AVG, etc.) with OVER () are intentionally left alone +# as they compute grand totals which is often the desired behavior (e.g., weighted CPM) +PARTITION_BY_INJECTION_FUNCTIONS = frozenset( + { + # Navigation functions (need partitioning for period comparisons) + "LAG", + "LEAD", + "FIRST_VALUE", + "LAST_VALUE", + "NTH_VALUE", + # Ranking functions (need partitioning for per-group ranking) + "ROW_NUMBER", + "RANK", + "DENSE_RANK", + "NTILE", + "PERCENT_RANK", + "CUME_DIST", + }, +) + +# Navigation functions that require grain-level aggregation for period-over-period +# LAG/LEAD compare values across rows at a specific grain, so we need to pre-aggregate +# to that grain before applying the window function +GRAIN_LEVEL_AGGREGATION_FUNCTIONS = frozenset( + { + "LAG", + "LEAD", + }, +) + + +def needs_grain_level_aggregation(expr_ast: ast.Node) -> bool: + """ + Check if an expression uses LAG/LEAD window functions that need grain-level aggregation. + + LAG/LEAD functions compare values across rows at a specific grain (e.g., week-over-week). + Unlike frame-based functions (SUM OVER ROWS BETWEEN), these need pre-aggregation to the + ORDER BY grain before the window function is applied. + + Args: + expr_ast: The AST expression to check + + Returns: + True if the expression contains LAG/LEAD window functions + """ + for func in expr_ast.find_all(ast.Function): + if func.over and func.name: + func_name = ( + str(func.name.name).upper() + if hasattr(func.name, "name") + else str(func.name).upper() + ) + if func_name in GRAIN_LEVEL_AGGREGATION_FUNCTIONS: + return True + return False + + +def get_grain_level_window_info(expr_ast: ast.Node) -> list[tuple[str, set[str]]]: + """ + Get information about LAG/LEAD window functions that need grain-level aggregation. + + Returns a list of (function_name, order_by_columns) tuples for each LAG/LEAD + window function in the expression. + + Args: + expr_ast: The AST expression to analyze + + Returns: + List of (function_name, order_by_columns) tuples + """ + results: list[tuple[str, set[str]]] = [] + for func in expr_ast.find_all(ast.Function): + if func.over and func.name: + func_name = ( + str(func.name.name).upper() + if hasattr(func.name, "name") + else str(func.name).upper() + ) + if func_name in GRAIN_LEVEL_AGGREGATION_FUNCTIONS: # pragma: no branch + order_by_cols: set[str] = set() + if func.over.order_by: # pragma: no branch + for sort_item in func.over.order_by: + col_expr = sort_item.expr + # Handle Subscript expressions (role suffix like [order]) + if isinstance(col_expr, ast.Subscript): + col_expr = col_expr.expr + if ( + isinstance(col_expr, ast.Column) and col_expr.name + ): # pragma: no branch + col_name = get_column_full_name(col_expr) + if col_name: # pragma: no branch + order_by_cols.add(col_name) + results.append((func_name, order_by_cols)) + return results + + +def detect_window_metrics_requiring_grain_groups( + ctx: "BuildContext", + decomposed_metrics: dict, + base_grain_group_metrics: set[str], +) -> dict[str, set[str]]: + """ + Detect window metrics that require grain-level grain groups. + + Analyzes all requested metrics and identifies those with LAG/LEAD window functions + that operate at a different grain than the user-requested grain. Returns a mapping + of metric names to their required ORDER BY columns (grains). + + Args: + ctx: Build context with metrics and nodes + decomposed_metrics: Decomposed metric info (metric_name -> DecomposedMetricInfo) + base_grain_group_metrics: Set of base metrics already in grain groups + + Returns: + Dict mapping metric_name -> set of ORDER BY column refs (e.g., {"v3.date.week"}) + """ + from datajunction_server.construction.build_v3.types import DecomposedMetricInfo + + window_metric_grains: dict[str, set[str]] = {} + + for metric_name in ctx.metrics: + # Skip base metrics - they're already in grain groups + if metric_name in base_grain_group_metrics: + continue + + decomposed = decomposed_metrics.get(metric_name) + if not decomposed: + continue # pragma: no cover + + # Check if this metric uses LAG/LEAD that needs grain-level aggregation + if ( # pragma: no branch + isinstance(decomposed, DecomposedMetricInfo) and decomposed.combiner_ast + ): + if needs_grain_level_aggregation(decomposed.combiner_ast): + # Get the ORDER BY columns for this metric + grain_info = get_grain_level_window_info(decomposed.combiner_ast) + order_by_cols: set[str] = set() + for _, cols in grain_info: + order_by_cols.update(cols) + if order_by_cols: # pragma: no branch + window_metric_grains[metric_name] = order_by_cols + + return window_metric_grains + + +def inject_partition_by_into_windows( + expr_ast: ast.Node, + all_dimension_aliases: list[str], + alias_to_dimension_node: dict[str, str] | None = None, + partition_cte_alias: str | None = None, +) -> None: + """ + Inject PARTITION BY clauses into navigation/ranking window functions. + + For period-over-period metrics with window functions like LAG/LEAD, the PARTITION BY + should include all requested dimensions EXCEPT: + 1. Those in the ORDER BY clause + 2. Other columns from the same dimension node as the ORDER BY column + + The second rule is critical for period-over-period metrics. For example, if ordering + by week_code (from common.dimensions.time.date), we should NOT partition by dateint + (also from common.dimensions.time.date), because dateint is a finer grain that would + break the week-over-week comparison. + + This ensures that comparisons (e.g., week-over-week) are done within each partition + (e.g., per country, per product) rather than across the entire result set. + + IMPORTANT: This only applies to navigation/ranking functions (LAG, LEAD, RANK, etc.). + Aggregate window functions (SUM, AVG, COUNT, MIN, MAX with OVER ()) are NOT modified, + as they often intentionally compute grand totals (e.g., for weighted CPM calculations). + + For example, given: + LAG(revenue, 1) OVER (ORDER BY week_code) + And requested dimensions: [category, dateint, week_code, month_code] + Where dateint, week_code, month_code are all from "common.dimensions.time.date" + + This function transforms it to: + LAG(revenue, 1) OVER (PARTITION BY category ORDER BY week_code) + + Note: dateint and month_code are excluded because they're from the same dimension + node as week_code. + + But this is left unchanged: + SUM(impressions) OVER () -- grand total, no partition injection + + Args: + expr_ast: The AST expression to modify (mutated in place) + all_dimension_aliases: List of all requested dimension column aliases + (already resolved, e.g., ["category", "country_iso_code", "week_code"]) + alias_to_dimension_node: Optional mapping from alias to dimension node name. + If provided, all aliases from the same dimension node as ORDER BY columns + will be excluded from PARTITION BY. + partition_cte_alias: Optional CTE alias to qualify PARTITION BY columns. + If provided, columns will be qualified as cte_alias.column. + Important for JOINs where column names may be ambiguous. + """ + # Build reverse mapping: dimension_node -> set of aliases + node_to_aliases: dict[str, set[str]] = {} + if alias_to_dimension_node: + node_to_aliases = build_dimension_node_to_aliases(alias_to_dimension_node) + + # Find all Function nodes with an OVER clause (window functions) + for func in expr_ast.find_all(ast.Function): + if not func.over: + continue + + func_name = func.name.name.upper() if func.name else "" + + # Determine if we should inject PARTITION BY: + # 1. Navigation/ranking functions (LAG, LEAD, etc.) - always inject + # 2. Aggregate functions with ORDER BY (trailing/rolling) - inject + # 3. Aggregate functions with empty OVER () (grand totals) - skip + should_inject = False + if func_name in PARTITION_BY_INJECTION_FUNCTIONS: + # Navigation/ranking functions always need partitioning + should_inject = True + elif func.over.order_by: + # Aggregate with ORDER BY = trailing/rolling metric, needs partitioning + should_inject = True + # else: OVER () with no ORDER BY = grand total, skip partitioning + + if not should_inject: + continue + + # Get dimensions used in ORDER BY (these should NOT be in PARTITION BY) + order_by_dims: set[str] = set() + for sort_item in func.over.order_by: + # Extract the column name from the sort expression + if ( # pragma: no branch + isinstance(sort_item.expr, ast.Column) and sort_item.expr.name + ): + order_by_dims.add(sort_item.expr.name.name) + + # Build set of aliases to exclude from PARTITION BY + # Start with ORDER BY dimensions, then add all aliases from the same dimension nodes + excluded_aliases: set[str] = set(order_by_dims) + if alias_to_dimension_node: + for order_dim in order_by_dims: + # Find the dimension node for this ORDER BY column + dim_node = alias_to_dimension_node.get(order_dim) + if dim_node: # pragma: no branch + # Exclude all aliases from the same dimension node + excluded_aliases.update(node_to_aliases.get(dim_node, set())) + + # Add all other dimensions to PARTITION BY + # Only add if PARTITION BY is currently empty (don't override explicit partitions) + if not func.over.partition_by: + for dim_alias in all_dimension_aliases: + if dim_alias not in excluded_aliases: + # Optionally qualify with CTE alias to avoid ambiguity in JOINs + if partition_cte_alias: + func.over.partition_by.append( + ast.Column( + name=ast.Name(dim_alias), + _table=ast.Table(ast.Name(partition_cte_alias)), + ), + ) + else: + func.over.partition_by.append( + ast.Column(name=ast.Name(dim_alias)), + ) + + +def topological_sort_nodes(ctx: BuildContext, node_names: set[str]) -> list[Node]: + """ + Sort nodes in topological order (dependencies first). + + Uses the query AST to find table references and determine dependencies. + Source nodes have no dependencies and come first. + Transform/dimension nodes depend on what they reference in their queries. + + Returns: + List of nodes sorted so dependencies come before dependents. + """ + # Build dependency graph + dependencies: dict[str, set[str]] = {} + node_map: dict[str, Node] = {} + + for name in node_names: + node = ctx.nodes.get(name) + if not node: + continue + node_map[name] = node + + if node.type == NodeType.SOURCE: + # Sources have no dependencies + dependencies[name] = set() + elif node.type == NodeType.METRIC: + # Metrics depend on their parent node (handled separately, skip) + continue + elif node.current and node.current.query: + # Transform/dimension - parse query to find references (using cache) + try: + query_ast = ctx.get_parsed_query(node) + refs = get_table_references_from_ast(query_ast) + # Only keep references that are in our node set + dependencies[name] = {r for r in refs if r in node_names} + except Exception: + # If we can't parse, assume no dependencies + dependencies[name] = set() + else: + dependencies[name] = set() + + # Kahn's algorithm for topological sort + # in_degree[X] = number of nodes that X depends on + in_degree = {name: len(deps) for name, deps in dependencies.items()} + + # Build reverse mapping: which nodes depend on this node? + dependents: dict[str, list[str]] = {name: [] for name in dependencies} + for name, deps in dependencies.items(): + for dep in deps: + if dep in dependents: + dependents[dep].append(name) + + # Start with nodes that have no dependencies (in_degree == 0) + # Sort to ensure deterministic output order + queue = sorted([name for name, degree in in_degree.items() if degree == 0]) + sorted_names: list[str] = [] + + while queue: + current = queue.pop(0) + sorted_names.append(current) + # Reduce in-degree for all dependents + # Collect new zero-degree nodes and sort for determinism + new_ready = [] + for dependent in dependents.get(current, []): + in_degree[dependent] -= 1 + if in_degree[dependent] == 0: + new_ready.append(dependent) + queue.extend(sorted(new_ready)) + + # Return sorted nodes (excluding any we couldn't sort due to cycles) + return [node_map[name] for name in sorted_names if name in node_map] + + +def rewrite_table_references( + query_ast: ast.Query, + ctx: BuildContext, + cte_names: dict[str, str], + inner_cte_renames: Optional[dict[str, str]] = None, +) -> ast.Query: + """ + Rewrite table references in a query AST. + + - Source nodes -> physical table names (catalog.schema.table) + - Materialized nodes -> physical materialized table names + - Transform/dimension nodes -> CTE names + - Inner CTE names -> prefixed CTE names with alias to original name + e.g., `FROM base` -> `FROM prefix_base base` (keeps column refs like base.col working) + + Args: + query_ast: The query AST to rewrite (modified in place) + ctx: Build context with loaded nodes + cte_names: Mapping of node names to their CTE names + inner_cte_renames: Optional mapping of inner CTE old names to prefixed names + + Returns: + The modified query AST + """ + inner_cte_renames = inner_cte_renames or {} + + for table in query_ast.find_all(ast.Table): + table_name = str(table.name) + + # First check if it's an inner CTE reference that needs renaming + if table_name in inner_cte_renames: + # Use the prefixed name but alias it to the original name + # So `FROM base` becomes `FROM prefix_base base` + # This keeps column references like `base.col` working + new_name = inner_cte_renames[table_name] + table.name = ast.Name(new_name) + # Only set alias if not already set (preserve existing aliases) + if not table.alias: + table.alias = ast.Name(table_name) + continue + + # Then check if it's a node reference + ref_node = ctx.nodes.get(table_name) + if ref_node: + # Use the unified function that handles source, materialized, and CTE cases + table_parts, is_physical = get_table_reference_parts_with_materialization( + ctx, + ref_node, + ) + if is_physical: + # Source or materialized - use physical table name + table.name = ast.Name(SEPARATOR.join(table_parts)) + elif table_name in cte_names: # pragma: no branch + # Replace with CTE name + table.name = ast.Name(cte_names[table_name]) + + return query_ast + + +def filter_cte_projection( + query_ast: ast.Query, + columns_to_select: set[str], +) -> ast.Query: + """ + Filter a query's projection to only include specified columns. + + This modifies the SELECT clause to only project columns that are + actually needed downstream. + + Args: + query_ast: The query AST to modify + columns_to_select: Set of column names to keep + + Returns: + Modified query AST with filtered projection + """ + if not query_ast.select.projection: # pragma: no cover + return query_ast + + new_projection = [] + for expr in query_ast.select.projection: + # Get the name this column will be known by + if isinstance(expr, ast.Alias): + col_name = str(expr.alias.name) if expr.alias else None + if not col_name and isinstance(expr.child, ast.Column): # pragma: no cover + col_name = str(expr.child.name.name) + elif isinstance(expr, ast.Column): + col_name = str(expr.alias.name) if expr.alias else str(expr.name.name) + else: # pragma: no cover + # Keep expressions we can't analyze (defensive - shouldn't happen in practice) + new_projection.append(expr) + continue + + # Keep if it's in our needed set + if col_name and col_name in columns_to_select: + new_projection.append(expr) + + # If we filtered everything, keep original (shouldn't happen) + if new_projection: + query_ast.select.projection = new_projection + + return query_ast + + +def flatten_inner_ctes( + query_ast: ast.Query, + outer_cte_name: str, +) -> tuple[list[tuple[str, ast.Query]], dict[str, str]]: + """ + Extract inner CTEs from a query and rename them to avoid collisions. + + If a transform has: + WITH temp AS (SELECT ...) SELECT * FROM temp + + We extract 'temp' as 'v3_transform__temp' and return the rename mapping. + The caller is responsible for rewriting references using the returned mapping. + + Args: + query_ast: The parsed query that may contain inner CTEs + outer_cte_name: The name of the outer CTE (e.g., 'v3_order_details') + + Returns: + Tuple of: + - List of (prefixed_cte_name, cte_query) tuples for the extracted CTEs + - Dict mapping old CTE names to new prefixed names (for reference rewriting) + """ + if not query_ast.ctes: + return [], {} + + extracted_ctes: list[tuple[str, ast.Query]] = [] + + # Build mapping of old CTE name -> new prefixed name + inner_cte_renames: dict[str, str] = {} + for inner_cte in query_ast.ctes: + if inner_cte.alias: + old_name = ( + inner_cte.alias.name + if hasattr(inner_cte.alias, "name") + else str(inner_cte.alias) + ) + new_name = f"{outer_cte_name}__{old_name}" + inner_cte_renames[old_name] = new_name + + # Extract each inner CTE with renamed name + for inner_cte in query_ast.ctes: + if inner_cte.alias: + old_name = ( + inner_cte.alias.name + if hasattr(inner_cte.alias, "name") + else str(inner_cte.alias) + ) + new_name = inner_cte_renames[old_name] + + # Create a new Query for the CTE content + cte_query = ast.Query(select=inner_cte.select) + if inner_cte.ctes: + # Recursively flatten if this CTE also has CTEs + nested_ctes, nested_renames = flatten_inner_ctes(cte_query, new_name) + extracted_ctes.extend(nested_ctes) + inner_cte_renames.update(nested_renames) + + extracted_ctes.append((new_name, cte_query)) + + # Clear inner CTEs from the original query + query_ast.ctes = [] + + return extracted_ctes, inner_cte_renames + + +def collect_node_ctes( + ctx: BuildContext, + nodes_to_include: list[Node], + needed_columns_by_node: Optional[dict[str, set[str]]] = None, +) -> list[tuple[str, ast.Query]]: + """ + Collect CTEs for all non-source nodes, recursively expanding table references. + + This handles the full dependency chain: + - Source nodes -> replaced with physical table names (catalog.schema.table) + - Materialized nodes -> replaced with materialized table names (no CTE) + - Transform/dimension nodes -> recursive CTEs with dependencies resolved + - Inner CTEs within transforms -> flattened and prefixed to avoid collisions + + Args: + ctx: Build context + nodes_to_include: List of nodes to create CTEs for + needed_columns_by_node: Optional dict of node_name -> set of column names + If provided, CTEs will only select the needed columns. + + Returns list of (cte_name, query_ast) tuples in dependency order. + """ + # Collect all node names that need CTEs (including transitive dependencies) + all_node_names: set[str] = set() + mat_check_time = 0.0 + parse_check_time = 0.0 + ref_extract_time = 0.0 + call_count = 0 + + def collect_refs(node: Node, visited: set[str]) -> None: + nonlocal mat_check_time, parse_check_time, ref_extract_time, call_count + call_count += 1 + + if node.name in visited: # pragma: no branch + return # pragma: no cover + visited.add(node.name) + + if node.type == NodeType.SOURCE: + return # Sources don't become CTEs + + # Skip materialized nodes - they use physical tables, not CTEs + is_mat = should_use_materialized_table(ctx, node) + if is_mat: # pragma: no cover + return + + all_node_names.add(node.name) + + if node.current and node.current.query: # pragma: no branch + try: + # Use cached parsed query for reference extraction + query_ast = ctx.get_parsed_query(node) + + refs = get_table_references_from_ast(query_ast) + + for ref in refs: + ref_node = ctx.nodes.get(ref) + if ref_node: # pragma: no branch + collect_refs(ref_node, visited) + except Exception: # pragma: no cover + pass + + # Collect from all starting nodes with SHARED visited set + # This prevents re-parsing nodes that are shared dependencies + shared_visited: set[str] = set() + for node in nodes_to_include: + collect_refs(node, shared_visited) + + # Topologically sort all collected nodes + sorted_nodes = topological_sort_nodes(ctx, all_node_names) + + # Build CTE name mapping + cte_names: dict[str, str] = {} + for node in sorted_nodes: + cte_names[node.name] = get_cte_name(node.name) + + # Build CTEs in dependency order + ctes: list[tuple[str, ast.Query]] = [] + for node in sorted_nodes: + if node.type == NodeType.SOURCE: # pragma: no cover + continue + + # Skip materialized nodes (they use physical tables directly) + if should_use_materialized_table(ctx, node): # pragma: no cover + continue + + if not node.current or not node.current.query: # pragma: no cover + continue + + # Get parsed query from cache (uses deepcopy internally to avoid mutation) + query_ast = deepcopy(ctx.get_parsed_query(node)) + + cte_name = cte_names[node.name] + + # Flatten any inner CTEs to avoid nested WITH clauses + # Returns extracted CTEs and mapping of old names -> prefixed names + inner_ctes, inner_cte_renames = flatten_inner_ctes(query_ast, cte_name) + + # Rewrite table references in extracted inner CTEs + # (they may reference sources or materialized nodes -> physical table names) + for inner_cte_name, inner_cte_query in inner_ctes: + rewrite_table_references( + inner_cte_query, + ctx, + cte_names, + inner_cte_renames, + ) + + ctes.extend(inner_ctes) + + # Rewrite table references in main query + # (sources -> physical tables, materialized -> physical, others -> CTE names) + rewrite_table_references( + query_ast, + ctx, + cte_names, + inner_cte_renames, + ) + + # Apply column filtering if specified + needed_cols = None + if needed_columns_by_node: # pragma: no branch + needed_cols = needed_columns_by_node.get(node.name) + + if needed_cols: # pragma: no branch + query_ast = filter_cte_projection(query_ast, needed_cols) + + ctes.append((cte_name, query_ast)) + + return ctes + + +def process_metric_combiner_expression( + combiner_ast: ast.Expression, + dimension_refs: dict[str, tuple[str, str]], + component_refs: dict[str, tuple[str, str]] | None = None, + metric_refs: dict[str, tuple[str, str]] | None = None, + partition_dimensions: list[str] | None = None, + alias_to_dimension_node: dict[str, str] | None = None, +) -> ast.Expression: + """ + Process a metric combiner expression for final output. + + This function applies the same transformations used in generate_metrics_sql + (specifically build_derived_metric_expr) to ensure consistency between + SQL generation and stored metric expressions. + + Used by: + - build_derived_metric_expr in generate_metrics_sql + - cube materialization for storing metric_expression in config + + Transformations applied (in order, matching build_derived_metric_expr): + 1. Replace metric references (e.g., "v3.total_revenue" -> column ref) + 2. Replace component references (e.g., "revenue_sum_abc123" -> column ref) + 3. Replace dimension references (e.g., "v3.date.dateint" -> column ref) + 4. Inject PARTITION BY clauses for window functions + + Args: + combiner_ast: The metric combiner expression AST + dimension_refs: Mapping from dimension refs to (cte_alias, column_name) + e.g., {"v3.date.dateint": ("base_metrics", "dateint")} + For cube queries, use empty string for cte_alias: ("", "dateint") + component_refs: Optional mapping from component names to (cte_alias, column_name) + e.g., {"revenue_sum_abc123": ("gg0", "revenue_sum_abc123")} + metric_refs: Optional mapping from metric names to (cte_alias, column_name) + e.g., {"v3.total_revenue": ("base_metrics", "total_revenue")} + For derived metrics that reference other metrics + partition_dimensions: Optional list of dimension aliases for PARTITION BY. + If provided, window functions will have PARTITION BY injected. + alias_to_dimension_node: Optional mapping from alias to dimension node name. + Used to exclude related dimensions from PARTITION BY (e.g., if ordering + by week_code, also exclude dateint from the same time dimension node). + + Returns: + A deep copy of the expression with all transformations applied. + """ + # Deep copy to avoid mutating the original + expr_ast = deepcopy(combiner_ast) + + # Replace metric references (for derived metrics referencing other metrics) + # This must happen first, matching build_derived_metric_expr order + if metric_refs: + replace_metric_refs_in_ast(expr_ast, metric_refs) + + # Replace component references + if component_refs: + replace_component_refs_in_ast(expr_ast, component_refs) + + # Replace dimension references + replace_dimension_refs_in_ast(expr_ast, dimension_refs) + + # Inject PARTITION BY for window functions if dimensions provided + if partition_dimensions: + # Get CTE alias from dimension refs (all should have same alias) + # Use None if empty string (for cube queries) + cte_alias = None + if dimension_refs: # pragma: no branch + first_alias = next(iter(dimension_refs.values()))[0] + cte_alias = first_alias if first_alias else None + + inject_partition_by_into_windows( + expr_ast, + partition_dimensions, + alias_to_dimension_node, + partition_cte_alias=cte_alias, + ) + + return expr_ast diff --git a/datajunction-server/datajunction_server/construction/build_v3/cube_matcher.py b/datajunction-server/datajunction_server/construction/build_v3/cube_matcher.py new file mode 100644 index 000000000..451e08973 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/cube_matcher.py @@ -0,0 +1,459 @@ +""" +Cube matching logic for SQL generation (V3). + +This module provides functions to find cubes that can satisfy a metrics query, +enabling direct querying from materialized cube tables instead of computing +from scratch. +""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING, Optional + +from sqlalchemy import and_, select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload + +from datajunction_server.construction.build_v3.decomposition import is_derived_metric +from datajunction_server.models.dialect import Dialect +from datajunction_server.construction.build_v3.dimensions import parse_dimension_ref +from datajunction_server.construction.build_v3.metrics import ( + generate_metrics_sql, +) +from datajunction_server.construction.build_v3.types import ( + BuildContext, + ColumnMetadata, + GeneratedMeasuresSQL, + GeneratedSQL, + GrainGroupSQL, + DecomposedMetricInfo, + ResolvedExecutionContext, +) +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.column import Column +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.models.decompose import Aggregability +from datajunction_server.models.node_type import NodeType +from datajunction_server.naming import amenable_name +from datajunction_server.sql.parsing import ast + +if TYPE_CHECKING: + pass + +logger = logging.getLogger(__name__) + + +async def find_matching_cube( + session: AsyncSession, + metrics: list[str], + dimensions: list[str], + require_availability: bool = True, +) -> Optional[NodeRevision]: + """ + Find a cube that covers all requested metrics and dimensions. + + A cube matches if: + 1. It contains all requested metrics (by node name) + 2. It contains all requested dimensions + 3. Cube has availability state (materialized) - configurable with require_availability + + Args: + session: Database session + metrics: List of metric node names + dimensions: List of dimension references (e.g., "default.date_dim.date_id") + require_availability: If True, only consider cubes with availability defined + + Returns: + Matching cube NodeRevision if found, None otherwise + """ + if not metrics: + return None + + # Build query for cubes + statement = ( + select(Node) + .where(Node.type == NodeType.CUBE) + .where(Node.deactivated_at.is_(None)) + .join( + NodeRevision, + and_( + Node.id == NodeRevision.node_id, + Node.current_version == NodeRevision.version, + ), + ) + .options( + joinedload(Node.current).options( + selectinload(NodeRevision.cube_elements).selectinload( + Column.node_revision, + ), + joinedload(NodeRevision.availability), + selectinload(NodeRevision.materializations), + selectinload(NodeRevision.columns), + ), + ) + ) + + # Filter: cube must contain all requested metrics + # Cube elements use amenable name format (e.g., "default_DOT_metric" instead of "default.metric") + for metric_name in metrics: + amenable_metric_name = amenable_name(metric_name) + statement = statement.filter( + NodeRevision.cube_elements.any(Column.name == amenable_metric_name), + ) + + result = await session.execute(statement) + candidate_cubes = result.unique().scalars().all() + + # Find the best matching cube (smallest grain that covers all dimensions) + best_match: Optional[NodeRevision] = None + best_grain_size = float("inf") + + for cube_node in candidate_cubes: + cube_rev = cube_node.current + if not cube_rev: + continue # pragma: no cover + + # Check availability if required + if require_availability and not cube_rev.availability: + logger.debug( + f"[BuildV3] Cube {cube_rev.name} skipped: no availability", + ) + continue + + # Check dimension coverage: requested dims must be subset of cube dims + cube_dims = set(cube_rev.cube_dimensions()) + requested_dims = set(dimensions) + + if not requested_dims.issubset(cube_dims): + logger.debug( + f"[BuildV3] Cube {cube_rev.name} dims {cube_dims} " + f"don't cover requested {requested_dims}", + ) + continue + + # Found a match - prefer smallest grain (less roll-up work) + if len(cube_dims) < best_grain_size: + best_match = cube_rev + best_grain_size = len(cube_dims) + logger.debug( + f"[BuildV3] Found matching cube {cube_rev.name} " + f"(grain_size={len(cube_dims)})", + ) + + if best_match: + logger.info( + f"[BuildV3] Using cube {best_match.name} for " + f"metrics={metrics}, dims={dimensions}", + ) + + return best_match + + +async def resolve_dialect_and_engine_for_metrics( + session: AsyncSession, + metrics: list[str], + dimensions: list[str], + use_materialized: bool = True, + engine_name: Optional[str] = None, + engine_version: Optional[str] = None, +) -> ResolvedExecutionContext: + """ + Resolve dialect and engine for a metrics query in a single lookup. + + This function consolidates the logic for determining which dialect to use + for SQL generation and which engine to execute the query on. It avoids + duplicate cube lookups by finding the cube once and deriving both dialect + and engine from it. + + Resolution priority: + 1. If use_materialized=True and a matching cube with availability exists: + - Use the cube's availability catalog's engine dialect and engine + 2. Otherwise, fall back to the first metric's catalog's default engine + + Args: + session: Database session + metrics: List of metric node names + dimensions: List of dimension references + use_materialized: Whether to check for cube availability + engine_name: Optional explicit engine name override + engine_version: Optional explicit engine version override + + Returns: + ResolvedExecutionContext with dialect, engine, catalog_name, and optional cube + """ + from datajunction_server.api.helpers import resolve_engine + + cube: Optional[NodeRevision] = None + + # Try to find a matching cube with availability + if use_materialized: + cube = await find_matching_cube( + session, + metrics, + dimensions, + require_availability=True, + ) + + if cube and cube.availability: + avail_catalog_name = cube.availability.catalog + avail_catalog = await Catalog.get_by_name(session, avail_catalog_name) + if avail_catalog and avail_catalog.engines: # pragma: no branch + engine = avail_catalog.engines[0] + dialect = Dialect(engine.dialect) + logger.info( + "[BuildV3] Resolved dialect=%s engine=%s from cube %s " + "availability catalog=%s", + dialect, + engine.name, + cube.name, + avail_catalog_name, + ) + return ResolvedExecutionContext( + dialect=dialect, + engine=engine, + catalog_name=avail_catalog_name, + cube=cube, + ) + + # Fallback: use first metric's catalog's default engine + node = await Node.get_by_name(session, metrics[0], raise_if_not_exists=True) + if not node: # pragma: no cover + raise ValueError(f"Metric not found: {metrics[0]}") + + catalog_name = node.current.catalog.name if node.current.catalog else None + if not catalog_name: # pragma: no cover + raise ValueError(f"Metric {metrics[0]} has no catalog") + + # Resolve engine (respects explicit engine_name/version if provided) + engine = await resolve_engine( + session=session, + node=node, + engine_name=engine_name, + engine_version=engine_version, + ) + + dialect = Dialect(engine.dialect) if engine.dialect else Dialect.SPARK + logger.info( + "[BuildV3] Resolved dialect=%s engine=%s from metric %s catalog=%s", + dialect, + engine.name, + metrics[0], + catalog_name, + ) + + return ResolvedExecutionContext( + dialect=dialect, + engine=engine, + catalog_name=catalog_name, + cube=None, + ) + + +def build_sql_from_cube_impl( + ctx: BuildContext, + cube: NodeRevision, + decomposed_metrics: dict[str, DecomposedMetricInfo], +) -> GeneratedSQL: + """ + Internal: Build SQL from cube with pre-computed context and decomposed metrics. + + This is the core implementation used by both: + - build_sql_from_cube() for direct calls + - build_metrics_sql() when a matching cube is found + + Args: + ctx: BuildContext with nodes loaded and dimensions updated + cube: The cube NodeRevision to query from + decomposed_metrics: Pre-computed decomposed metrics + + Returns: + GeneratedSQL with the query and column metadata. + """ + # Build synthetic GrainGroupSQL for cube table + synthetic_grain_group = build_synthetic_grain_group( + ctx, + decomposed_metrics, + cube, + ) + + # Create GeneratedMeasuresSQL and call generate_metrics_sql + measures_result = GeneratedMeasuresSQL( + grain_groups=[synthetic_grain_group], + dialect=ctx.dialect, + requested_dimensions=ctx.dimensions, + ctx=ctx, + decomposed_metrics=decomposed_metrics, + ) + + result = generate_metrics_sql( + ctx, + measures_result, + decomposed_metrics, + ) + + # Set cube_name so /data/ endpoint knows to use Druid engine + # cube is a NodeRevision, use its name directly + result.cube_name = cube.name + + return result + + +async def build_sql_from_cube( + session: AsyncSession, + cube: NodeRevision, + metrics: list[str], + dimensions: list[str], + filters: list[str] | None, + dialect: Dialect, +) -> GeneratedSQL: + """ + Build final metrics SQL by querying directly from a cube's availability table. + + This is the public API for direct calls (e.g., from tests). + For the internal path from build_metrics_sql(), use build_sql_from_cube_impl(). + + Args: + session: Database session + cube: The cube NodeRevision to query from + metrics: List of metric node names (full paths like "default.total_revenue") + dimensions: List of dimension references (full paths like "default.date_dim.date_id") + filters: Optional filter expressions + dialect: SQL dialect for output + + Returns: + GeneratedSQL with the query and column metadata. + """ + # Import here to avoid circular dependency + from datajunction_server.construction.build_v3.builder import setup_build_context + + # Setup context (loads nodes, decomposes metrics, adds dimensions from expressions) + ctx = await setup_build_context( + session=session, + metrics=metrics, + dimensions=dimensions, + filters=filters, + dialect=dialect, + use_materialized=False, + ) + + # Use shared implementation + return build_sql_from_cube_impl(ctx, cube, ctx.decomposed_metrics) + + +def build_synthetic_grain_group( + ctx: BuildContext, + decomposed_metrics: dict[str, DecomposedMetricInfo], + cube: NodeRevision, +) -> GrainGroupSQL: + """ + Collect components from base metrics only (not derived). + V3 cube column naming always uses component.name (the hashed name) for consistency. + """ + all_components = [] + component_aliases: dict[str, str] = {} + + avail = cube.availability + if not avail: # pragma: no cover + raise ValueError(f"Cube {cube.name} has no availability") + table_parts = [p for p in [avail.catalog, avail.schema_, avail.table] if p] + table_name = ".".join(table_parts) + + for metric_name, decomposed in decomposed_metrics.items(): + # Only process BASE metrics for component alias mapping + # Derived metrics don't define cube columns - they reference base metric columns + metric_node = ctx.nodes.get(metric_name) + if metric_node and is_derived_metric(ctx, metric_node): + continue + + for comp in decomposed.components: + if comp.name not in component_aliases: # pragma: no branch + # Always use component.name for consistency - no special case for single-component + cube_col_name = comp.name + + component_aliases[comp.name] = cube_col_name + all_components.append(comp) + + # Build column metadata for the synthetic grain group + grain_group_columns: list[ColumnMetadata] = [] + + # Add dimension columns (short names with role suffix if present) + dim_short_names = [] + for dim_ref in ctx.dimensions: + parsed_dim = parse_dimension_ref(dim_ref) + col_name = parsed_dim.column_name + if parsed_dim.role: + col_name = f"{col_name}_{parsed_dim.role}" + dim_short_names.append(col_name) + grain_group_columns.append( + ColumnMetadata( + name=col_name, + semantic_name=dim_ref, + type="string", # Will be refined by generate_metrics_sql + semantic_type="dimension", + ), + ) + + # Add component columns (using cube column names from component_aliases) + for comp in all_components: + cube_col_name = component_aliases[comp.name] + grain_group_columns.append( + ColumnMetadata( + name=cube_col_name, + semantic_name=comp.name, + type="double", + semantic_type="metric_component", + ), + ) + + # Build the synthetic query: SELECT dims, components FROM cube_table + # No GROUP BY here - generate_metrics_sql will add that + projection: list[ast.Column] = [] + + # Add dimension columns + for dim_col in dim_short_names: + projection.append(ast.Column(name=ast.Name(dim_col))) + + # Add component columns (using cube column names) + for comp in all_components: + cube_col_name = component_aliases[comp.name] + projection.append(ast.Column(name=ast.Name(cube_col_name))) + + # Build SELECT ... FROM cube_table + synthetic_query = ast.Query( + select=ast.Select( + projection=projection, # type: ignore + from_=ast.From( + relations=[ast.Relation(primary=ast.Table(ast.Name(table_name)))], + ), + ), + ctes=[], + ) + + # Identify all base metrics (not derived) for the grain group. This includes + # both directly requested base metrics and base metrics that derived metrics + # depend on. + # + # Note: Derived metrics should not be in grain_group.metrics so they get processed + # by the derived metrics loop in generate_metrics_sql, which handles PARTITION BY + # injection for window functions + base_metrics = [] + for metric_name in decomposed_metrics.keys(): + metric_node = ctx.nodes.get(metric_name) + if metric_node and not is_derived_metric(ctx, metric_node): + base_metrics.append(metric_name) + + # Create the synthetic GrainGroupSQL + # Note: We use a placeholder parent_name since the cube combines multiple parents + return GrainGroupSQL( + query=synthetic_query, + columns=grain_group_columns, + grain=dim_short_names, + aggregability=Aggregability.FULL, # Cube components are pre-aggregated + metrics=base_metrics, # Only base metrics, not derived + parent_name=cube.name, # Use cube name as parent + component_aliases=component_aliases, + is_merged=False, + components=all_components, + dialect=ctx.dialect, + ) diff --git a/datajunction-server/datajunction_server/construction/build_v3/decomposition.py b/datajunction-server/datajunction_server/construction/build_v3/decomposition.py new file mode 100644 index 000000000..fbcf72a44 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/decomposition.py @@ -0,0 +1,538 @@ +""" +Handles metric decomposition and grain analysis + +TODO: Add validation to reject derived metrics that aggregate other metrics +(e.g., AVG(other_metric) without OVER clause). Derived metrics should only do +arithmetic or window functions on base metrics, not introduce new aggregation +layers. This check should happen during metric creation/update validation. +""" + +from __future__ import annotations + +from typing import cast + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.construction.build_v3.types import ( + BuildContext, + DecomposedMetricInfo, + GrainGroup, + MetricGroup, +) +from datajunction_server.database.node import Node +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.decompose import Aggregability, MetricComponent +from datajunction_server.sql.decompose import MetricComponentExtractor +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse + + +async def decompose_and_group_metrics( + ctx: BuildContext, +) -> tuple[list[MetricGroup], dict[str, DecomposedMetricInfo]]: + """ + Decompose metrics and group them by parent node (fact/transform). + + For base metrics: groups by direct parent + For derived metrics: decomposes into base metrics and groups by their parents + + This enables cross-fact derived metrics by producing separate grain groups + for each underlying fact. + + Returns: + Tuple of: + - List of MetricGroup, one per unique parent node, with decomposed metrics. + - Dict of metric_name -> DecomposedMetricInfo for reuse by callers. + """ + # Map parent node name -> list of DecomposedMetricInfo + parent_groups: dict[str, list[DecomposedMetricInfo]] = {} + parent_nodes: dict[str, Node] = {} + # Cache of all decomposed metrics to avoid redundant work + all_decomposed: dict[str, DecomposedMetricInfo] = {} + + for metric_name in ctx.metrics: + metric_node = ctx.get_metric_node(metric_name) + + if is_derived_metric(ctx, metric_node): + # Derived metric - get base metrics and decompose each + base_metric_nodes = get_base_metrics_for_derived(ctx, metric_node) + + for base_metric in base_metric_nodes: + # Get the fact/transform parent of the base metric + parent_node = ctx.get_parent_node(base_metric) + parent_name = parent_node.name + + # Check if already decomposed (e.g., shared base metric) + if base_metric.name in all_decomposed: + decomposed = all_decomposed[base_metric.name] + else: + # Decompose the BASE metric (not the derived one) - use cache! + decomposed = await decompose_metric( + ctx.session, + base_metric, + nodes_cache=ctx.nodes, + parent_map=ctx.parent_map, + ) + all_decomposed[base_metric.name] = decomposed + + # Always ensure parent group exists and add if not already present + if parent_name not in parent_groups: + parent_groups[parent_name] = [] + parent_nodes[parent_name] = parent_node + + # Only add to parent group if not already there + if decomposed not in parent_groups[parent_name]: + parent_groups[parent_name].append(decomposed) + + # Also decompose the derived metric itself and cache it + if metric_name not in all_decomposed: # pragma: no branch + derived_decomposed = await decompose_metric( + ctx.session, + metric_node, + nodes_cache=ctx.nodes, + parent_map=ctx.parent_map, + ) + all_decomposed[metric_name] = derived_decomposed + else: + # Base metric - use direct parent + parent_node = ctx.get_parent_node(metric_node) + parent_name = parent_node.name + + if metric_name in all_decomposed: + # Already decomposed - just ensure it's in the parent group + decomposed = all_decomposed[metric_name] # pragma: no branch + if parent_name not in parent_groups: # pragma: no cover + parent_groups[parent_name] = [] + parent_nodes[parent_name] = parent_node + if decomposed not in parent_groups[parent_name]: + parent_groups[parent_name].append(decomposed) # pragma: no cover + continue + + # Use cache to avoid DB queries! + decomposed = await decompose_metric( + ctx.session, + metric_node, + nodes_cache=ctx.nodes, + parent_map=ctx.parent_map, + ) + all_decomposed[metric_node.name] = decomposed + + if parent_name not in parent_groups: + parent_groups[parent_name] = [] + parent_nodes[parent_name] = parent_node + + parent_groups[parent_name].append(decomposed) + + # Build MetricGroup objects + metric_groups = [ + MetricGroup(parent_node=parent_nodes[name], decomposed_metrics=metrics) + for name, metrics in parent_groups.items() + ] + # Sort by parent node name for deterministic ordering in generated SQL + metric_groups.sort(key=lambda g: g.parent_node.name) + return metric_groups, all_decomposed + + +async def decompose_metric( + session: AsyncSession, + metric_node: Node, + *, + nodes_cache: dict[str, Node] | None = None, + parent_map: dict[str, list[str]] | None = None, +) -> DecomposedMetricInfo: + """ + Decompose a metric into its constituent components. + + Uses MetricComponentExtractor to break down aggregations like: + - SUM(x) -> [sum_x component] + - AVG(x) -> [sum_x component, count_x component] + - COUNT(DISTINCT x) -> [distinct_x component with LIMITED aggregability] + + Args: + session: Database session + metric_node: The metric node to decompose + nodes_cache: Optional dict of node_name -> Node. If provided along with + parent_map, avoids database queries by using cached data. + parent_map: Optional dict of child_name -> list of parent_names. + Required if nodes_cache is provided. + + Returns: + DecomposedMetricInfo with components, combiner expression, and aggregability + """ + if not metric_node.current: # pragma: no cover + raise DJInvalidInputException( + f"Metric {metric_node.name} has no current revision", + ) + + # Use the MetricComponentExtractor with optional cache + extractor = MetricComponentExtractor(metric_node.current.id) + components, derived_ast = await extractor.extract( + session, + nodes_cache=nodes_cache, + parent_map=parent_map, + metric_node=metric_node, + ) + + # Extract combiner expression from the derived query AST + # The first projection element is the metric expression with component references + combiner = ( + str(derived_ast.select.projection[0]) if derived_ast.select.projection else "" + ) + + # Determine overall aggregability (worst case among components) + if not components: # pragma: no cover + # No decomposable aggregations found - treat as NONE + aggregability = Aggregability.NONE + elif any(c.rule.type == Aggregability.NONE for c in components): # pragma: no cover + aggregability = Aggregability.NONE + elif any(c.rule.type == Aggregability.LIMITED for c in components): + aggregability = Aggregability.LIMITED + else: + aggregability = Aggregability.FULL + + return DecomposedMetricInfo( + metric_node=metric_node, + components=components, + aggregability=aggregability, + combiner=combiner, + derived_ast=derived_ast, + ) + + +def build_component_expression(component: MetricComponent) -> ast.Expression: + """ + Build the accumulate expression AST for a metric component. + + For simple aggregations like SUM, this is: SUM(expression) + For templates like "SUM(POWER({}, 2))", expands to: SUM(POWER(expression, 2)) + + Note: Templates may be pre-expanded (e.g., "SUM(POWER(match_score, 2))") + by the decomposition phase, so we detect this by checking for parentheses + without template placeholders. + """ + if not component.aggregation: # pragma: no cover + # No aggregation - just return the expression as a column + return ast.Column(name=ast.Name(component.expression)) + + # Check if it's an unexpanded template with {} + if "{" in component.aggregation: # pragma: no cover + # Template like "SUM(POWER({}, 2))" - expand it + expanded = component.aggregation.replace("{}", component.expression) + # Parse as expression + expr_ast = parse(f"SELECT {expanded}").select.projection[0] + if isinstance(expr_ast, ast.Alias): + expr_ast = expr_ast.child + expr_ast.clear_parent() + return cast(ast.Expression, expr_ast) + + # Check if it's a pre-expanded template (contains parentheses, like "SUM(POWER(x, 2))") + # vs a simple function name (like "SUM") + if "(" in component.aggregation: + # Pre-expanded template - parse it directly as a complete expression + expr_ast = parse(f"SELECT {component.aggregation}").select.projection[0] + if isinstance(expr_ast, ast.Alias): + expr_ast = expr_ast.child # pragma: no cover + expr_ast.clear_parent() + return cast(ast.Expression, expr_ast) + else: + # Simple function name like "SUM" - build SUM(expression) + arg_expr = parse(f"SELECT {component.expression}").select.projection[0] + func = ast.Function( + name=ast.Name(component.aggregation), + args=[cast(ast.Expression, arg_expr)], + ) + return func + + +def get_base_metrics_for_derived(ctx: BuildContext, metric_node: Node) -> list[Node]: + """ + For a derived metric, get all the base metrics it depends on. + + Returns list of base metric nodes (metrics that SELECT FROM a fact/transform, not other metrics). + """ + base_metrics = [] + visited = set() + + def collect_bases(node: Node): + if node.name in visited: # pragma: no cover + return + visited.add(node.name) + + parent_names = ctx.parent_map.get(node.name, []) + for parent_name in parent_names: + parent = ctx.nodes.get(parent_name) + if not parent: # pragma: no cover + continue + + if parent.type == NodeType.METRIC: + # Parent is also a metric - recurse + collect_bases(parent) + elif parent.type == NodeType.DIMENSION: + # Skip dimension nodes - they're for required dimensions (e.g., in window + # functions), not the actual data source. Don't treat the derived metric + # as a base metric just because it references a dimension. + continue # pragma: no cover + else: + # Parent is a fact/transform - this is a base metric + base_metrics.append(node) + break # Found the base, don't check other parents + + collect_bases(metric_node) + return base_metrics + + +def is_derived_metric(ctx: BuildContext, metric_node: Node) -> bool: + """Check if a metric is derived (references other metrics) vs base (references fact/transform).""" + parent_names = ctx.parent_map.get(metric_node.name, []) + if not parent_names: # pragma: no cover + return False + + # Check if ANY parent is a metric (not just the first one) + # This handles cases where a dimension (for required dimensions in window functions) + # appears before the metric parent in the parent list + for parent_name in parent_names: + parent = ctx.nodes.get(parent_name) + if parent is not None and parent.type == NodeType.METRIC: + return True + return False + + +def get_native_grain(node: Node) -> list[str]: + """ + Get the native grain (primary key columns) of a node. + + For transforms/dimensions, this is their primary key columns. + If no PK is defined, returns all columns (every column together forms + the unique identity of a row). + """ + if not node.current: # pragma: no cover + return [] + + pk_columns = [] + for col in node.current.columns: + # Check if this column is part of the primary key + if col.has_primary_key_attribute(): + pk_columns.append(col.name) + + # If no PK is defined, use all columns as the grain + # This ensures we don't accidentally aggregate non-decomposable metrics + if not pk_columns: + pk_columns = [col.name for col in node.current.columns] # pragma: no cover + + return pk_columns + + +def analyze_grain_groups( + metric_group: MetricGroup, + requested_dimensions: list[str], +) -> list[GrainGroup]: + """ + Analyze a MetricGroup and split it into GrainGroups based on aggregability. + + Each GrainGroup contains components that can be computed at the same grain. + + Rules: + - FULL aggregability: grain = requested dimensions + - LIMITED aggregability: grain = requested dimensions + level columns + - NONE aggregability: grain = native grain (PK of parent) + + Non-decomposable metrics (like MAX_BY) have no components but still need + a grain group at native grain to pass through raw rows. + + Args: + metric_group: MetricGroup with decomposed metrics + requested_dimensions: Dimensions requested by user (column names only) + + Returns: + List of GrainGroups, one per unique grain + """ + parent_node = metric_group.parent_node + + # Group components by their effective grain + # Key: (aggregability, tuple of additional grain columns) + grain_buckets: dict[ + tuple[Aggregability, tuple[str, ...]], + list[tuple[Node, MetricComponent]], + ] = {} + + # Track non-decomposable metrics (those with no components) + non_decomposable: list[DecomposedMetricInfo] = [] + + for decomposed in metric_group.decomposed_metrics: + if not decomposed.components: + # Non-decomposable metric (like MAX_BY) - track it separately + non_decomposable.append(decomposed) + continue + + # Process decomposable components + for component in decomposed.components: + agg_type = component.rule.type + + # Explicitly type the key to satisfy mypy + key: tuple[Aggregability, tuple[str, ...]] + if agg_type == Aggregability.FULL: + # FULL: no additional grain columns needed + key = (Aggregability.FULL, ()) + elif agg_type == Aggregability.LIMITED: + # LIMITED: add level columns to grain + level_cols = tuple(sorted(component.rule.level or [])) + key = (Aggregability.LIMITED, level_cols) + else: # NONE + # NONE: use native grain (PK columns) + native_grain = get_native_grain(parent_node) + key = ( + Aggregability.NONE, + tuple(sorted(native_grain)), + ) # pragma: no cover + + if key not in grain_buckets: + grain_buckets[key] = [] + grain_buckets[key].append((decomposed.metric_node, component)) + + # Convert buckets to GrainGroup objects + grain_groups = [] + for (agg_type, grain_cols), components in grain_buckets.items(): + grain_groups.append( + GrainGroup( + parent_node=parent_node, + aggregability=agg_type, + grain_columns=list(grain_cols), + components=components, + ), + ) + + # Handle non-decomposable metrics - create a NONE grain group at native grain + if non_decomposable: + native_grain = get_native_grain(parent_node) + none_key = (Aggregability.NONE, tuple(sorted(native_grain))) + + # Check if we already have a NONE grain group at this grain + existing_none = next( + (g for g in grain_groups if g.grain_key[1:] == none_key), + None, + ) + + if existing_none: + # Add non-decomposable metrics to existing NONE group + existing_none.non_decomposable_metrics.extend( + non_decomposable, + ) # pragma: no cover + else: + # Create new NONE grain group for non-decomposable metrics + grain_groups.append( + GrainGroup( + parent_node=parent_node, + aggregability=Aggregability.NONE, + grain_columns=list(native_grain), + components=[], # No components + non_decomposable_metrics=non_decomposable, + ), + ) + + # Sort groups: FULL first, then LIMITED, then NONE (for consistent output) + agg_order = {Aggregability.FULL: 0, Aggregability.LIMITED: 1, Aggregability.NONE: 2} + grain_groups.sort( + key=lambda g: (agg_order.get(g.aggregability, 3), g.grain_columns), + ) + + return grain_groups + + +def merge_grain_groups(grain_groups: list[GrainGroup]) -> list[GrainGroup]: + """ + Merge compatible grain groups from the same parent into single CTEs. + + Grain groups can be merged if they share the same parent node. The merged + group uses the finest grain (union of all grain columns) and outputs raw + columns instead of pre-aggregated values. Aggregations are then applied + in the final SELECT. + + This optimization reduces duplicate CTEs and JOINs when multiple metrics + with different aggregabilities come from the same parent. + + Args: + grain_groups: List of grain groups to potentially merge + + Returns: + List of grain groups with compatible groups merged + """ + from collections import defaultdict + + # Group by parent node name + by_parent: dict[str, list[GrainGroup]] = defaultdict(list) + for gg in grain_groups: + by_parent[gg.parent_node.name].append(gg) + + merged_groups: list[GrainGroup] = [] + + for parent_name, parent_groups in by_parent.items(): + if len(parent_groups) == 1: + # Only one group for this parent - no merge needed + merged_groups.append(parent_groups[0]) + else: + # Multiple groups for same parent - merge them + merged = _merge_parent_grain_groups(parent_groups) + merged_groups.append(merged) + + # Sort for deterministic output + agg_order = {Aggregability.FULL: 0, Aggregability.LIMITED: 1, Aggregability.NONE: 2} + merged_groups.sort( + key=lambda g: ( + g.parent_node.name, + agg_order.get(g.aggregability, 3), + g.grain_columns, + ), + ) + + return merged_groups + + +def _merge_parent_grain_groups(groups: list[GrainGroup]) -> GrainGroup: + """ + Merge multiple grain groups from the same parent into one. + + The merged group: + - Uses the finest grain (union of all grain columns) + - Has aggregability = worst case (NONE > LIMITED > FULL) + - Contains all components from all groups + - Has is_merged=True to signal that aggregations happen in final SELECT + - Tracks original component aggregabilities for proper final aggregation + """ + if not groups: # pragma: no cover + raise ValueError("Cannot merge empty list of grain groups") + + parent_node = groups[0].parent_node + + # Collect all components and track their original aggregabilities + all_components: list[tuple[Node, MetricComponent]] = [] + component_aggregabilities: dict[str, Aggregability] = {} + + for gg in groups: + for metric_node, component in gg.components: + all_components.append((metric_node, component)) + # Track original aggregability for each component + component_aggregabilities[component.name] = gg.aggregability + + # Compute finest grain (union of all grain columns) + finest_grain_set: set[str] = set() + for gg in groups: + finest_grain_set.update(gg.grain_columns) + finest_grain = sorted(finest_grain_set) + + # Determine worst-case aggregability + # NONE > LIMITED > FULL (NONE is worst, forces finest grain) + agg_order = {Aggregability.FULL: 0, Aggregability.LIMITED: 1, Aggregability.NONE: 2} + worst_agg = max( + groups, + key=lambda g: agg_order.get(g.aggregability, 0), + ).aggregability + + return GrainGroup( + parent_node=parent_node, + aggregability=worst_agg, + grain_columns=finest_grain, + components=all_components, + is_merged=True, + component_aggregabilities=component_aggregabilities, + ) diff --git a/datajunction-server/datajunction_server/construction/build_v3/dimensions.py b/datajunction-server/datajunction_server/construction/build_v3/dimensions.py new file mode 100644 index 000000000..b57ee51ea --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/dimensions.py @@ -0,0 +1,345 @@ +""" +Dimension + join path resolution and building functions +""" + +from __future__ import annotations + +import logging +from typing import Optional, cast + +from datajunction_server.construction.build_v3.utils import ( + get_short_name, + make_name, +) +from datajunction_server.construction.build_v3.materialization import ( + get_table_reference_parts_with_materialization, +) +from datajunction_server.construction.build_v3.types import ( + BuildContext, + DimensionRef, + JoinPath, + ResolvedDimension, +) +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.node import Node +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.utils import SEPARATOR + +logger = logging.getLogger(__name__) + + +def parse_dimension_ref(dim_ref: str) -> DimensionRef: + """ + Parse a dimension reference string. + + Formats: + - "v3.customer.name" -> node=v3.customer, col=name, role=None + - "v3.customer.name[order]" -> node=v3.customer, col=name, role=order + - "v3.date.month[customer->registration]" -> node=v3.date, col=month, role=customer->registration + """ + # Extract role if present + role = None + if "[" in dim_ref: + dim_part, role_part = dim_ref.rsplit("[", 1) + role = role_part.rstrip("]") + else: + dim_part = dim_ref + + # Split into node and column + parts = dim_part.rsplit(SEPARATOR, 1) + if len(parts) == 2: + node_name, column_name = parts + else: # pragma: no cover + # Assume single part is column name on current node + node_name = "" + column_name = parts[0] + + return DimensionRef(node_name=node_name, column_name=column_name, role=role) + + +def find_join_path( + ctx: BuildContext, + from_node: Node, + target_dim_name: str, + role: Optional[str] = None, +) -> Optional[JoinPath]: + """ + Find the join path from a node to a target dimension. + + Uses preloaded join paths from ctx.join_paths (populated by load_nodes). + This is a pure in-memory lookup - no database queries. + + For single-hop joins: + fact -> dimension (direct link) + + For multi-hop joins (role like "customer->home"): + fact -> customer -> location + + If no role is specified, will find ANY path to the dimension (first match). + This handles cases where the dimension link has a role but the user + doesn't specify one. + + Returns None if no path found. + """ + if not from_node.current: # pragma: no cover + return None + + source_revision_id = from_node.current.id + role_path = role or "" + + # Look up preloaded path with exact role match + key = (source_revision_id, target_dim_name, role_path) + links = ctx.join_paths.get(key) + + if links: + # Path found in preloaded cache + return JoinPath( + links=links, + target_dimension=links[-1].dimension, + role=role, + ) + + # Fallback: if no role specified, find ANY path to this dimension + # This handles cases where the dimension link has a role but user didn't specify one + if not role: # pragma: no cover + for (src_id, dim_name, stored_role), path_links in ctx.join_paths.items(): + if src_id == source_revision_id and dim_name == target_dim_name: + logger.debug( + f"[BuildV3] Using path with role '{stored_role}' for " + f"dimension {target_dim_name} (no role specified)", + ) + return JoinPath( + links=path_links, + target_dimension=path_links[-1].dimension, + role=stored_role or None, + ) + + return None # pragma: no cover + + +def can_skip_join_for_dimension( + dim_ref: DimensionRef, + join_path: Optional[JoinPath], + parent_node: Node, +) -> tuple[bool, Optional[str]]: + """ + Check if we can skip joining to the dimension and use a local column instead. + + This optimization applies when the requested dimension column is the join key + itself. For example, if requesting v3.customer.customer_id and the join is: + v3.order_details.customer_id = v3.customer.customer_id + We can use v3.order_details.customer_id directly without joining. + + Args: + dim_ref: The parsed dimension reference + join_path: The join path to the dimension (if any) + parent_node: The parent/fact node + + Returns: + Tuple of (can_skip: bool, local_column_name: str | None) + """ + if not join_path or not join_path.links: # pragma: no cover + return False, None + + # Only optimize single-hop joins for now + if len(join_path.links) > 1: + return False, None + + link = join_path.links[0] + + # Get the dimension column being requested (fully qualified) + dim_col_fqn = f"{dim_ref.node_name}{SEPARATOR}{dim_ref.column_name}" + + # Check if this dimension column is in the foreign keys mapping + if parent_col := link.foreign_keys_reversed.get(dim_col_fqn): # pragma: no cover + # Join can be skipped - the FK column on the parent matches the requested dim + return True, get_short_name(parent_col) + return False, None + + +def resolve_dimensions( + ctx: BuildContext, + parent_node: Node, +) -> list[ResolvedDimension]: + """ + Resolve all requested dimensions to their join paths. + + Includes optimization: if the requested dimension is the join key itself, + we skip the join and use the local column instead. + + Returns a list of ResolvedDimension objects with join path information. + """ + resolved = [] + + for dim in ctx.dimensions: + dim_ref = parse_dimension_ref(dim) + + # Check if it's a local dimension (column on the parent node itself) + is_local = False + if dim_ref.node_name == parent_node.name: + is_local = True + elif not dim_ref.node_name: # pragma: no cover + # No node specified, assume it's local + is_local = True + dim_ref.node_name = parent_node.name + + if is_local: + resolved.append( + ResolvedDimension( + original_ref=dim, + node_name=dim_ref.node_name, + column_name=dim_ref.column_name, + role=dim_ref.role, + join_path=None, + is_local=True, + ), + ) + else: + # Need to find join path + join_path = find_join_path( + ctx, + parent_node, + dim_ref.node_name, + dim_ref.role, + ) + + if not join_path and dim_ref.role: # pragma: no cover + # Try finding via role path + # For "v3.date.month[customer->registration]", the target is v3.date + # but the role path is through customer first + role_parts = dim_ref.role.split("->") + if len(role_parts) > 1: + # Multi-hop: find path through intermediate dimensions + join_path = find_join_path( + ctx, + parent_node, + dim_ref.node_name, + dim_ref.role, + ) + + # Optimization: if requesting the join key column, skip the join + can_skip, local_col = can_skip_join_for_dimension( + dim_ref, + join_path, + parent_node, + ) + if can_skip and local_col: # pragma: no cover + logger.info( + f"[BuildV3] Skipping join for {dim} - using local column {local_col}", + ) + resolved.append( + ResolvedDimension( + original_ref=dim, + node_name=parent_node.name, # Use parent node + column_name=local_col, # Use local column name + role=dim_ref.role, + join_path=None, # No join needed! + is_local=True, + ), + ) + else: + resolved.append( + ResolvedDimension( + original_ref=dim, + node_name=dim_ref.node_name, + column_name=dim_ref.column_name, + role=dim_ref.role, + join_path=join_path, + is_local=False, + ), + ) + + return resolved + + +def build_join_clause( + ctx: BuildContext, + link: DimensionLink, + left_alias: str, + right_alias: str, +) -> ast.Join: + """ + Build a JOIN clause AST from a dimension link. + + Args: + ctx: Build context + link: The dimension link defining the join + left_alias: Alias for the left (source) table + right_alias: Alias for the right (dimension) table + + Returns: + AST Join node + """ + # Parse the join SQL to get the ON clause + # link.join_sql looks like: "v3.order_details.customer_id = v3.customer.customer_id" + join_sql = link.join_sql + + # Replace the original node names with aliases in the join condition + left_node_name = link.node_revision.name + right_node_name = link.dimension.name + + # Build a simple ON clause by parsing the join SQL + # We'll create a binary comparison + on_clause = parse(f"SELECT 1 WHERE {join_sql}").select.where + + # Now we need to rewrite column references to use our aliases + def rewrite_column_refs(expr): + """Recursively rewrite column references to use table aliases.""" + if isinstance(expr, ast.Column): + if expr.name and expr.name.namespace: # pragma: no branch + full_name = expr.identifier() + if full_name.startswith(left_node_name + SEPARATOR): + col_name = full_name[len(left_node_name) + 1 :] + expr.name = ast.Name(col_name, namespace=ast.Name(left_alias)) + elif full_name.startswith( + right_node_name + SEPARATOR, + ): # pragma: no branch + col_name = full_name[len(right_node_name) + 1 :] + expr.name = ast.Name(col_name, namespace=ast.Name(right_alias)) + + # Recurse into children + for child in expr.children if hasattr(expr, "children") else []: + if child: # pragma: no branch + rewrite_column_refs(child) + + if on_clause: # pragma: no branch + rewrite_column_refs(on_clause) + + # Determine join type (as string for ast.Join) + from datajunction_server.models.dimensionlink import JoinType + + join_type_str = "LEFT OUTER" # Default + if link.join_type == JoinType.INNER: # pragma: no cover + join_type_str = "INNER" + elif link.join_type == JoinType.LEFT: + join_type_str = "LEFT OUTER" + elif link.join_type == JoinType.RIGHT: # pragma: no cover + join_type_str = "RIGHT OUTER" + elif link.join_type == JoinType.FULL: # pragma: no cover + join_type_str = "FULL OUTER" + + # Build the right table reference (use materialized table if available) + # Look up full node from ctx.nodes to avoid lazy loading + dim_node = ctx.nodes.get(link.dimension.name, link.dimension) + right_table_parts, _ = get_table_reference_parts_with_materialization( + ctx, + dim_node, + ) + right_table_name = make_name(SEPARATOR.join(right_table_parts)) + + # Create the join + right_expr: ast.Expression = cast( + ast.Expression, + ast.Alias( + child=ast.Table(name=right_table_name), + alias=ast.Name(right_alias), + ), + ) + join = ast.Join( + join_type=join_type_str, + right=right_expr, + criteria=ast.JoinCriteria(on=on_clause) if on_clause else None, + ) + + return join diff --git a/datajunction-server/datajunction_server/construction/build_v3/filters.py b/datajunction-server/datajunction_server/construction/build_v3/filters.py new file mode 100644 index 000000000..6a538e3eb --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/filters.py @@ -0,0 +1,179 @@ +""" +Utilities to parse and resolve filter expressions +""" + +from __future__ import annotations + +from copy import deepcopy +from functools import reduce + +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.utils import SEPARATOR + + +def parse_filter(filter_str: str) -> ast.Expression: + """ + Parse a filter string into an AST expression. + + The filter string is a SQL expression like: + - "v3.product.category = 'Electronics'" + - "v3.date.year[order] >= 2024" + - "status IN ('active', 'pending')" + + Args: + filter_str: A SQL predicate expression + + Returns: + The parsed AST expression + + Example:: + + expr = parse_filter("v3.product.category = 'Electronics'") + # Returns ast.BinaryOp with comparison + """ + # Parse as "SELECT 1 WHERE " and extract the WHERE clause + query = parse(f"SELECT 1 WHERE {filter_str}") + if query.select.where is None: # pragma: no cover + raise DJInvalidInputException(f"Failed to parse filter: {filter_str}") + return query.select.where + + +def resolve_filter_references( + filter_ast: ast.Expression, + column_aliases: dict[str, str], + cte_alias: str | None = None, +) -> ast.Expression: + """ + Resolve dimension/column references in a filter AST to their actual column aliases. + + This replaces references like "v3.product.category" with the appropriate + table-qualified column reference like "t2.category". + + Args: + filter_ast: The parsed filter expression (will be mutated!) + column_aliases: Map from dimension ref (e.g., "v3.product.category") to alias (e.g., "category") + cte_alias: Optional CTE alias to prefix column refs with (e.g., "order_details_0") + + Returns: + The modified filter AST (same object, mutated in place) + + Example:: + + filter_ast = parse_filter("v3.product.category = 'Electronics'") + aliases = {"v3.product.category": "category"} + resolve_filter_references(filter_ast, aliases, "t2") + # Now filter_ast contains "t2.category = 'Electronics'" + """ + + def resolve_refs(node: ast.Expression) -> None: + """Recursively resolve column references in the AST.""" + if isinstance(node, ast.Column): + # Reconstruct the full reference from the column name + # Column names may be namespaced (e.g., v3.product.category) + full_ref = _extract_full_column_ref(node) + + if full_ref in column_aliases: + col_alias = column_aliases[full_ref] + # Replace with table-aliased reference + if cte_alias: + node.name = ast.Name(col_alias, namespace=ast.Name(cte_alias)) + else: + node.name = ast.Name(col_alias) + + # Recursively process children + if hasattr(node, "children"): # pragma: no branch + for child in node.children: + if child and isinstance(child, ast.Expression): + resolve_refs(child) + + resolve_refs(filter_ast) + return filter_ast + + +def _extract_full_column_ref(col: ast.Column) -> str: + """ + Extract the full reference string from a Column AST node. + + Handles both simple columns (e.g., "category") and namespaced columns + (e.g., "v3.product.category"). + """ + parts: list[str] = [] + + def collect_names(name_node: ast.Name | None) -> None: + if name_node is None: # pragma: no branch + return # pragma: no cover + if name_node.namespace: + collect_names(name_node.namespace) + parts.append(name_node.name) + + collect_names(col.name) + return SEPARATOR.join(parts) + + +def combine_filters(filters: list[ast.Expression]) -> ast.Expression | None: + """ + Combine multiple filter expressions with AND. + + Args: + filters: List of filter AST expressions + + Returns: + Combined expression or None if empty list + + Example:: + + f1 = parse_filter("status = 'active'") + f2 = parse_filter("year >= 2024") + combined = combine_filters([f1, f2]) + # Returns (status = 'active') AND (year >= 2024) + """ + if not filters: # pragma: no cover + return None + + if len(filters) == 1: + return filters[0] + + return reduce(lambda a, b: ast.BinaryOp.And(a, b), filters) + + +def parse_and_resolve_filters( + filter_strs: list[str], + column_aliases: dict[str, str], + cte_alias: str | None = None, +) -> ast.Expression | None: + """ + Parse filter strings and resolve references, returning combined WHERE clause. + + This is a convenience function that combines parse_filter, resolve_filter_references, + and combine_filters. + + Args: + filter_strs: List of filter strings + column_aliases: Map from dimension ref to alias + cte_alias: Optional CTE alias to prefix column refs with + + Returns: + Combined filter expression or None if no filters + + Example:: + + filters = ["v3.product.category = 'Electronics'", "status = 'active'"] + aliases = {"v3.product.category": "category", "status": "status"} + where_clause = parse_and_resolve_filters(filters, aliases, "t1") + """ + if not filter_strs: # pragma: no cover + return None + + parsed_filters = [] + for f in filter_strs: + filter_ast = parse_filter(f) + resolved = resolve_filter_references( + deepcopy(filter_ast), # Make a copy to avoid mutating cache + column_aliases, + cte_alias, + ) + parsed_filters.append(resolved) + + return combine_filters(parsed_filters) diff --git a/datajunction-server/datajunction_server/construction/build_v3/loaders.py b/datajunction-server/datajunction_server/construction/build_v3/loaders.py new file mode 100644 index 000000000..47d982ffd --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/loaders.py @@ -0,0 +1,467 @@ +""" +Database loading functions +""" + +from __future__ import annotations + +import logging + +from sqlalchemy import select, text, bindparam +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload, joinedload, load_only + +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.node import Node, NodeRevision, Column +from datajunction_server.database.preaggregation import PreAggregation +from datajunction_server.models.node_type import NodeType + +from datajunction_server.construction.build_v3.dimensions import parse_dimension_ref +from datajunction_server.construction.build_v3.types import BuildContext +from datajunction_server.construction.build_v3.utils import collect_required_dimensions + +logger = logging.getLogger(__name__) + + +async def find_upstream_node_names( + session: AsyncSession, + starting_node_names: list[str], +) -> tuple[set[str], dict[str, list[str]]]: + """ + Find all upstream node names using a lightweight recursive CTE. + + This returns just node names (not full nodes) to minimize query overhead. + Uses NodeRelationship to traverse the parent-child relationships. + + Returns: + Tuple of: + - Set of all upstream node names (including the starting nodes) + - Dict mapping child_name -> list of parent_names (for metrics to find their parents) + """ + if not starting_node_names: # pragma: no cover + return set(), {} + + # Lightweight recursive CTE - returns node names AND parent-child relationships + recursive_query = text(""" + WITH RECURSIVE upstream AS ( + -- Base case: get the starting nodes' current revision IDs + SELECT + nr.id as revision_id, + n.name as node_name, + CAST(NULL AS TEXT) as child_name + FROM node n + JOIN noderevision nr ON n.id = nr.node_id AND n.current_version = nr.version + WHERE n.name IN :starting_names + AND n.deactivated_at IS NULL + + UNION + + -- Recursive case: find parents of current nodes + SELECT + parent_nr.id as revision_id, + parent_n.name as node_name, + u.node_name as child_name + FROM upstream u + JOIN noderelationship nrel ON u.revision_id = nrel.child_id + JOIN node parent_n ON nrel.parent_id = parent_n.id + JOIN noderevision parent_nr ON parent_n.id = parent_nr.node_id + AND parent_n.current_version = parent_nr.version + WHERE parent_n.deactivated_at IS NULL + ) + SELECT DISTINCT node_name, child_name FROM upstream + """).bindparams(bindparam("starting_names", expanding=True)) + + result = await session.execute( + recursive_query, + {"starting_names": list(starting_node_names)}, + ) + rows = result.fetchall() + + # Collect all node names and parent relationships + all_names: set[str] = set() + # child_name -> list of parent_names + parent_map: dict[str, list[str]] = {} + + for node_name, child_name in rows: + all_names.add(node_name) + if child_name: + # node_name is the parent of child_name + if child_name not in parent_map: + parent_map[child_name] = [] + parent_map[child_name].append(node_name) + + return all_names, parent_map + + +async def find_join_paths_batch( + session: AsyncSession, + source_revision_ids: set[int], + target_dimension_names: set[str], + max_depth: int = 100, # High limit - early termination handles most cases +) -> dict[tuple[int, str, str], list[int]]: + """ + Find join paths from multiple source nodes to all target dimension nodes + using a single recursive CTE query with early termination. + + Args: + source_revision_ids: Set of source node revision IDs to find paths from + target_dimension_names: Set of dimension node names to find paths to + max_depth: Safety limit (default 100, but early termination kicks in first) + + Returns a dict mapping (source_revision_id, dimension_node_name, role_path) + to the list of DimensionLink IDs forming the path. + + The role_path is a "->" separated string of roles at each step. + Empty roles are represented as empty strings. + + Key optimization: Once a path reaches a target dimension, it stops exploring + from that node (no point continuing past a target). + """ + if not target_dimension_names or not source_revision_ids: # pragma: no cover + return {} + + # Single recursive CTE to find all paths to target dimensions + # NOTE: We do NOT use early termination based on is_target because + # a target node might also be an intermediate hop for multi-hop paths. + # For example, v3.customer might be both: + # - A target (for v3.customer.name) + # - An intermediate hop (for v3.date.year[customer->registration]) + # Depth limit prevents infinite recursion. + recursive_query = text(""" + WITH RECURSIVE paths AS ( + -- Base case: first level dimension links from any source node + SELECT + dl.node_revision_id as source_rev_id, + dl.id as link_id, + n.name as dim_name, + CAST(dl.id AS TEXT) as path, + COALESCE(dl.role, '') as role_path, + 1 as depth, + CASE WHEN n.name IN :target_names THEN 1 ELSE 0 END as is_target + FROM dimensionlink dl + JOIN node n ON dl.dimension_id = n.id + WHERE dl.node_revision_id IN :source_revision_ids + + UNION ALL + + -- Recursive case: follow dimension_links from each dimension node + -- Continue exploring even from target nodes (they might be intermediate hops) + SELECT + paths.source_rev_id as source_rev_id, + dl2.id as link_id, + n2.name as dim_name, + paths.path || ',' || CAST(dl2.id AS TEXT) as path, + paths.role_path || '->' || COALESCE(dl2.role, '') as role_path, + paths.depth + 1 as depth, + CASE WHEN n2.name IN :target_names THEN 1 ELSE 0 END as is_target + FROM paths + JOIN node prev_node ON paths.dim_name = prev_node.name + JOIN noderevision nr ON prev_node.current_version = nr.version AND nr.node_id = prev_node.id + JOIN dimensionlink dl2 ON dl2.node_revision_id = nr.id + JOIN node n2 ON dl2.dimension_id = n2.id + WHERE paths.depth < :max_depth + ) + SELECT source_rev_id, dim_name, path, role_path, depth + FROM paths + WHERE is_target = 1 + ORDER BY depth ASC + """).bindparams( + bindparam("source_revision_ids", expanding=True), + bindparam("target_names", expanding=True), + ) + + result = await session.execute( + recursive_query, + { + "source_revision_ids": list(source_revision_ids), + "max_depth": max_depth, + "target_names": list(target_dimension_names), + }, + ) + rows = result.fetchall() + + # Build paths dict keyed by (source_rev_id, dim_name, role_path) + paths: dict[tuple[int, str, str], list[int]] = {} + for source_rev_id, dim_name, path_str, role_path, depth in rows: + key = (source_rev_id, dim_name, role_path or "") + if key not in paths: # pragma: no branch + paths[key] = [int(x) for x in path_str.split(",")] + + return paths + + +async def load_dimension_links_batch( + session: AsyncSession, + link_ids: set[int], +) -> dict[int, DimensionLink]: + """ + Batch load DimensionLinks with minimal data needed for join building. + Returns a dict mapping link_id to DimensionLink object. + + Note: Most dimension nodes should already be in ctx.nodes from query2. + We load current+query for pre-parsing cache, and columns for type lookups. + """ + if not link_ids: + return {} + + # Load dimension links with eager loading for columns (needed for type lookups) + stmt = ( + select(DimensionLink) + .where(DimensionLink.id.in_(link_ids)) + .options( + joinedload(DimensionLink.dimension).options( + joinedload(Node.current).options( + # Load what's needed for table references, parsing, and type lookups + joinedload(NodeRevision.catalog), + joinedload(NodeRevision.availability), + selectinload(NodeRevision.columns).options( + load_only(Column.name, Column.type), + ), + ), + ), + ) + ) + result = await session.execute(stmt) + links = result.scalars().unique().all() + + return {link.id: link for link in links} + + +async def preload_join_paths( + ctx: BuildContext, + source_revision_ids: set[int], + target_dimension_names: set[str], +) -> None: + """ + Preload all join paths from multiple source nodes to target dimensions. + + Uses a single recursive CTE query to find paths from ALL sources at once, + then a single batch load for DimensionLink objects. Results are stored + in ctx.join_paths. + + This is O(2) queries regardless of how many source nodes we have. + """ + + if not target_dimension_names or not source_revision_ids: + return + + # Find all paths from all sources using recursive CTE (single query) + path_ids = await find_join_paths_batch( + ctx.session, + source_revision_ids, + target_dimension_names, + ) + + # Collect all link IDs we need to load + all_link_ids: set[int] = set() + for link_id_list in path_ids.values(): + all_link_ids.update(link_id_list) + + # Batch load all DimensionLinks (single query) + link_dict = await load_dimension_links_batch(ctx.session, all_link_ids) + + # Store in context, keyed by (source_revision_id, dim_name, role_path) + for (source_rev_id, dim_name, role_path), link_id_list in path_ids.items(): + links = [link_dict[lid] for lid in link_id_list if lid in link_dict] + ctx.join_paths[(source_rev_id, dim_name, role_path)] = links + # Also cache dimension nodes + for link in links: + if link.dimension and link.dimension.name not in ctx.nodes: + ctx.nodes[link.dimension.name] = link.dimension + + logger.debug( + f"[BuildV3] Preloaded {len(path_ids)} join paths for " + f"{len(source_revision_ids)} sources in 2 queries", + ) + + +async def load_nodes(ctx: BuildContext) -> None: + """ + Load all nodes needed for SQL generation + + Query 1: Find all upstream node names using lightweight recursive CTE + Query 2: Batch load all those nodes with eager loading + Query 3-4: Find join paths and batch load dimension links + """ + # Collect initial node names (metrics + explicit dimension nodes) + initial_node_names = set(ctx.metrics) + + # Parse dimension references to get target dimension node names + target_dim_names: set[str] = set() + for dim in ctx.dimensions: + dim_ref = parse_dimension_ref(dim) + if dim_ref.node_name: # pragma: no branch + initial_node_names.add(dim_ref.node_name) + target_dim_names.add(dim_ref.node_name) + + # Find all upstream nodes using a recursive CTE query + all_node_names, parent_map = await find_upstream_node_names( + ctx.session, + list(initial_node_names), + ) + + # Store parent map in context for later use (e.g., get_parent_node) + ctx.parent_map = parent_map + + # Also include the initial nodes themselves + all_node_names.update(initial_node_names) + + logger.debug(f"[BuildV3] Found {len(all_node_names)} nodes to load") + + # Query 2: Batch load all nodes with appropriate eager loading + stmt = ( + select(Node) + .where(Node.name.in_(all_node_names)) + .where(Node.deactivated_at.is_(None)) + .options( + load_only( + Node.name, + Node.type, + Node.current_version, + ), + joinedload(Node.current).options( + load_only( + NodeRevision.name, + NodeRevision.query, + NodeRevision.schema_, + NodeRevision.table, + ), + selectinload(NodeRevision.columns).options( + load_only( + Column.name, + Column.type, + ), + ), + joinedload(NodeRevision.catalog), + selectinload(NodeRevision.required_dimensions).options( + # Load the node_revision and node to reconstruct full dimension path + joinedload(Column.node_revision).options( + joinedload(NodeRevision.node), + ), + ), + joinedload(NodeRevision.availability), # For materialization support + ), + ) + ) + + result = await ctx.session.execute(stmt) + nodes = result.scalars().unique().all() + + # Cache all loaded nodes + for node in nodes: + ctx.nodes[node.name] = node + + # Collect required dimensions from metrics and add to context + # Required dimensions are stored as Column objects, so they don't have role info. + # We need to check if a user-requested dimension already covers the same (node, column). + required_dims = collect_required_dimensions(ctx.nodes, ctx.metrics) + for req_dim in required_dims: + dim_ref = parse_dimension_ref(req_dim) + if dim_ref.node_name: # pragma: no branch + target_dim_names.add(dim_ref.node_name) + + # Check if any existing dimension already covers this (node, column) + # This handles cases like: user requests v3.date.week[order], + # required dim is v3.date.week (no role) - they're the same column + is_covered = False + for existing_dim in ctx.dimensions: + existing_ref = parse_dimension_ref(existing_dim) + if ( + existing_ref.node_name == dim_ref.node_name + and existing_ref.column_name == dim_ref.column_name + ): + is_covered = True + logger.debug( + f"[BuildV3] Required dimension {req_dim} already covered by {existing_dim}", + ) + break + + if not is_covered: + logger.info( + f"[BuildV3] Auto-adding required dimension {req_dim} from metric", + ) + ctx.dimensions.append(req_dim) + + # Collect parent revision IDs for join path lookup (using parent_map from Query 1) + # For derived metrics, we need to recursively find fact parents through the metric chain + parent_revision_ids: set[int] = set() + + def collect_fact_parents(metric_name: str, visited: set[str]) -> None: + """Recursively collect fact/transform parent revision IDs from metrics.""" + if metric_name in visited: # pragma: no cover + return + visited.add(metric_name) + + metric_node = ctx.nodes.get(metric_name) + if not metric_node: # pragma: no cover + return + + parent_names = ctx.parent_map.get(metric_name, []) + for parent_name in parent_names: + parent_node = ctx.nodes.get(parent_name) + if not parent_node: # pragma: no cover + continue + + if parent_node.type == NodeType.METRIC: + # Parent is another metric - recurse to find its fact parents + collect_fact_parents(parent_name, visited) + elif parent_node.current: # pragma: no branch + # Parent is a fact/transform - collect its revision ID + parent_revision_ids.add(parent_node.current.id) + + for metric_name in ctx.metrics: + collect_fact_parents(metric_name, set()) + + logger.debug(f"[BuildV3] Loaded {len(ctx.nodes)} nodes") + + # Preload join paths for ALL parent nodes in a single batch + await preload_join_paths(ctx, parent_revision_ids, target_dim_names) + + # Store parent_revision_ids for pre-agg loading (if needed) + ctx._parent_revision_ids = parent_revision_ids + + +async def load_available_preaggs(ctx: BuildContext) -> None: + """ + Load pre-aggregations that could satisfy the current query. + + Queries for pre-aggs that: + 1. Have availability state (materialized) + 2. Match the parent nodes of requested metrics + + Results are indexed by node_revision_id for fast lookup during grain group + processing. The grain and measure matching is done at query time since + we need to compare against the specific grain group requirements. + + This function is only called when ctx.use_materialized=True. + """ + if not ctx.use_materialized: + return + + # Get parent revision IDs from the load_nodes step + parent_revision_ids: set[int] = ctx._parent_revision_ids + if not parent_revision_ids: + return + + # Query for available pre-aggs with their availability state + stmt = ( + select(PreAggregation) + .options(joinedload(PreAggregation.availability)) + .where( + PreAggregation.node_revision_id.in_(parent_revision_ids), + PreAggregation.availability_id.isnot(None), # Has availability + ) + ) + result = await ctx.session.execute(stmt) + preaggs = result.scalars().unique().all() + + # Index by node_revision_id for fast lookup + for preagg in preaggs: + if preagg.availability and preagg.availability.is_available(): + if preagg.node_revision_id not in ctx.available_preaggs: + ctx.available_preaggs[preagg.node_revision_id] = [] + ctx.available_preaggs[preagg.node_revision_id].append(preagg) + + logger.debug( + f"[BuildV3] Loaded {sum(len(v) for v in ctx.available_preaggs.values())} " + f"available pre-aggs for {len(ctx.available_preaggs)} parent nodes", + ) diff --git a/datajunction-server/datajunction_server/construction/build_v3/materialization.py b/datajunction-server/datajunction_server/construction/build_v3/materialization.py new file mode 100644 index 000000000..0f427fdba --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/materialization.py @@ -0,0 +1,192 @@ +""" +Materialization utilities for checking and using materialized tables. +""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING, Optional + +from datajunction_server.database.node import Node +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.node_type import NodeType +from datajunction_server.utils import SEPARATOR + +if TYPE_CHECKING: + from datajunction_server.construction.build_v3.types import BuildContext + +logger = logging.getLogger(__name__) + + +def amenable_name(name: str) -> str: + """ + Convert a name to a SQL-safe identifier by replacing separators. + """ + return name.replace(SEPARATOR, "_").replace("-", "_") + + +def get_physical_table_name(node: Node) -> Optional[str]: + """ + Get the physical table name for a source node. + + For source nodes: Returns catalog.schema.table + For other nodes: Returns None (they need CTEs) + """ + rev = node.current + if not rev: # pragma: no cover + return None + + if node.type == NodeType.SOURCE: + parts = [] + if rev.catalog: # pragma: no branch + parts.append(rev.catalog.name) + if rev.schema_: # pragma: no branch + parts.append(rev.schema_) + if rev.table: # pragma: no branch + parts.append(rev.table) + else: + parts.append(node.name) # pragma: no cover + return SEPARATOR.join(parts) + + return None # pragma: no cover + + +def has_available_materialization(node: Node) -> bool: + """ + Check if a node has an available materialized table. + + A materialized table is available if: + 1. The node has an availability state attached + 2. The availability state indicates the data is available + + Args: + node: The node to check + + Returns: + True if a materialized table is available, False otherwise + """ + if not node.current: # pragma: no cover + return False + + availability = node.current.availability + if not availability: + return False + + # The is_available method on AvailabilityState checks criteria + # For now, we just check that availability exists + # TODO: Add criteria checking when BuildCriteria is integrated + return availability.is_available() + + +def get_materialized_table_parts(node: Node) -> list[str] | None: + """ + Get the table reference parts for a materialized table. + + Returns [catalog, schema, table] if the node has materialization, + or None if it doesn't. + + Args: + node: The node to get materialization for + + Returns: + List of table name parts, or None if no materialization + """ + if not node.current or not node.current.availability: + return None + + availability = node.current.availability + parts = [] + + # Note: availability.catalog is always present + # availability.schema_ and table are required + if availability.catalog: # pragma: no branch + parts.append(availability.catalog) + if availability.schema_: # pragma: no branch + parts.append(availability.schema_) + if availability.table: # pragma: no branch + parts.append(availability.table) + + return parts if parts else None # pragma: no cover + + +def should_use_materialized_table( + ctx: "BuildContext", + node: Node, +) -> bool: + """ + Determine if we should use a materialized table for a node. + + Considerations: + 1. ctx.use_materialized must be True (default) + 2. The node must have an available materialization + 3. Source nodes always use their physical table (not considered "materialization") + + Args: + ctx: Build context + node: Node to check + + Returns: + True if materialization should be used, False otherwise + """ + # Source nodes always use physical tables (not materialization) + if node.type == NodeType.SOURCE: # pragma: no cover + return False + + # Check if materialization is enabled in context + if not ctx.use_materialized: # pragma: no cover + return False + + # Check if node has available materialization + return has_available_materialization(node) + + +def get_table_reference_parts_with_materialization( + ctx: "BuildContext", + node: Node, +) -> tuple[list[str], bool]: + """ + Get table reference parts, considering materialization. + + For source nodes: Always returns physical table [catalog, schema, table] + For other nodes: + - If materialized and use_materialized=True: Returns [catalog, schema, table] + - Otherwise: Returns [cte_name] for CTE reference + + Args: + ctx: Build context + node: Node to get reference for + + Returns: + Tuple of (table_parts, is_materialized) + - table_parts: List of name parts + - is_materialized: True if using materialized table (not CTE) + """ + rev = node.current + if not rev: # pragma: no cover + raise DJInvalidInputException(f"Node {node.name} has no current revision") + + # For source nodes, always use physical table + if node.type == NodeType.SOURCE: + parts = [] + if rev.catalog: # pragma: no branch + parts.append(rev.catalog.name) + if rev.schema_: # pragma: no branch + parts.append(rev.schema_) + if rev.table: # pragma: no branch + parts.append(rev.table) + else: + parts.append(node.name) # pragma: no cover + return (parts, True) # Sources are considered "materialized" (physical) + + # For non-source nodes, check for materialization + if should_use_materialized_table(ctx, node): + mat_parts = get_materialized_table_parts(node) + if mat_parts: # pragma: no branch + logger.debug( + f"[BuildV3] Using materialized table for {node.name}: " + f"{'.'.join(mat_parts)}", + ) + return (mat_parts, True) + + # Fall back to CTE reference + return ([amenable_name(node.name)], False) diff --git a/datajunction-server/datajunction_server/construction/build_v3/measures.py b/datajunction-server/datajunction_server/construction/build_v3/measures.py new file mode 100644 index 000000000..a01d5587d --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/measures.py @@ -0,0 +1,1417 @@ +""" +Measures SQL Generation + +This module handles the generation of pre-aggregated "measures" SQL, +which aggregates metric components to the requested dimensional grain. +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Any, Optional, cast + +if TYPE_CHECKING: + from datajunction_server.database.preaggregation import PreAggregation + +from datajunction_server.construction.build_v3.cte import ( + collect_node_ctes, + extract_dimension_node, + strip_role_suffix, +) +from datajunction_server.construction.build_v3.decomposition import ( + build_component_expression, +) +from datajunction_server.construction.build_v3.dimensions import ( + build_join_clause, +) +from datajunction_server.construction.build_v3.filters import ( + parse_and_resolve_filters, +) +from datajunction_server.construction.build_v3.utils import ( + get_column_type, + get_short_name, + make_column_ref, + make_name, +) +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.construction.build_v3.utils import ( + extract_columns_from_expression, +) +from datajunction_server.construction.build_v3.materialization import ( + get_table_reference_parts_with_materialization, +) +from datajunction_server.construction.build_v3.types import ( + BuildContext, + ColumnMetadata, + DecomposedMetricInfo, + GrainGroup, + GrainGroupSQL, + ResolvedDimension, +) +from datajunction_server.database.node import Node +from datajunction_server.models.decompose import Aggregability, MetricComponent +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing import ast +from datajunction_server.utils import SEPARATOR +from datajunction_server.construction.build_v3.alias_registry import AliasRegistry +from datajunction_server.construction.build_v3.decomposition import ( + analyze_grain_groups, + merge_grain_groups, +) +from datajunction_server.construction.build_v3.dimensions import ( + parse_dimension_ref, + resolve_dimensions, +) +from datajunction_server.construction.build_v3.preagg_matcher import ( + find_matching_preagg, + get_preagg_measure_column, +) +from datajunction_server.construction.build_v3.types import ( + BuildContext, + GrainGroupSQL, + MetricGroup, +) +from datajunction_server.sql.functions import function_registry +from datajunction_server.sql.parsing import types as ct +import re + + +# Mapping from type string to ColumnType instance +# Used to convert stored type strings back to type objects for function inference +_TYPE_STRING_MAP: dict[str, ct.ColumnType] = { + "int": ct.IntegerType(), + "integer": ct.IntegerType(), + "tinyint": ct.TinyIntType(), + "smallint": ct.SmallIntType(), + "bigint": ct.BigIntType(), + "long": ct.LongType(), + "float": ct.FloatType(), + "double": ct.DoubleType(), + "string": ct.StringType(), + "boolean": ct.BooleanType(), + "date": ct.DateType(), + "timestamp": ct.TimestampType(), + "binary": ct.BinaryType(), +} + + +def _parse_type_string(type_str: str | None) -> ct.ColumnType | None: + """ + Convert a type string to a ColumnType instance. + + Args: + type_str: Type string like "double", "int", "bigint" + + Returns: + ColumnType instance or None if unrecognized + """ + if not type_str: + return None # pragma: no cover + # Normalize to lowercase for lookup + normalized = type_str.lower().strip() + return _TYPE_STRING_MAP.get(normalized) + + +def infer_component_type( + component: MetricComponent, + metric_type: str, + parent_node: Node | None = None, +) -> str: + """ + Infer the SQL type of a metric component based on its aggregation function. + + Uses the function registry to look up the aggregation function and infer + its output type based on the input expression type. Falls back to the + metric_type if inference fails. + + Args: + component: The metric component + metric_type: The final metric's output type (fallback) + parent_node: Optional parent node to look up column types from + + Returns: + The inferred SQL type string + """ + if not component.aggregation: + return metric_type # pragma: no cover + + # Extract the outermost function name from the aggregation + # e.g., "SUM" from "SUM", "SUM" from "SUM(POWER({}, 2))", "hll_sketch_agg" from "hll_sketch_agg" + agg_str = component.aggregation.strip() + match = re.match(r"^([a-zA-Z_][a-zA-Z0-9_]*)", agg_str) + if not match: + return metric_type # pragma: no cover + + func_name = match.group(1).upper() + + # Look up the function in the registry + try: + func_class = function_registry[func_name] + except KeyError: # pragma: no cover + return metric_type + + # Get input type from parent node's columns by looking up the expression + input_type = None + if parent_node and component.expression: # pragma: no branch + col_type_str = get_column_type(parent_node, component.expression) + input_type = _parse_type_string(col_type_str) + + try: + if input_type: + result_type = func_class.infer_type(input_type) + else: # pragma: no cover + # Fallback: try with a generic ColumnType + result_type = func_class.infer_type(ct.ColumnType("unknown", "unknown")) + return str(result_type) + except (TypeError, NotImplementedError, AttributeError): + # Function may require more specific types - fall back to metric type + return metric_type + + +def _add_table_prefixes_to_filter( + filter_ast: ast.Expression, + resolved_dimensions: list[ResolvedDimension], + main_alias: str, + dim_aliases: dict[tuple[str, Optional[str]], str], +) -> None: + """ + Add table prefixes to column references in a filter AST. + + This mutates the filter_ast in place, adding the appropriate table alias + (main_alias or dim_alias) to each column reference based on which table + the column comes from. + + Args: + filter_ast: The filter AST to mutate + resolved_dimensions: List of resolved dimensions with join info + main_alias: Alias for the main (fact) table + dim_aliases: Map from (dim_name, role) to table alias + """ + # Build a map from column alias to table alias + col_to_table: dict[str, str] = {} + + for resolved_dim in resolved_dimensions: + col_alias = resolved_dim.column_name + if resolved_dim.is_local: + col_to_table[col_alias] = main_alias + elif resolved_dim.join_path: # pragma: no branch + # Get the dimension's table alias + for link in resolved_dim.join_path.links: # pragma: no branch + dim_key = (link.dimension.name, resolved_dim.role) + if dim_key in dim_aliases: # pragma: no branch + col_to_table[col_alias] = dim_aliases[dim_key] + break + + def add_prefixes(node: ast.Expression) -> None: + """Recursively add table prefixes to columns.""" + if isinstance(node, ast.Column): + if node.name and not (node.name.namespace and node.name.namespace.name): + # Unqualified column - check if we know its table + col_name = node.name.name + if col_name in col_to_table: + node.name = ast.Name( + col_name, + namespace=ast.Name(col_to_table[col_name]), + ) + else: + # Default to main table for unknown columns (local fact columns) + node.name = ast.Name(col_name, namespace=ast.Name(main_alias)) + + # Recursively process children + for child in node.children: + if child and isinstance(child, ast.Expression): + add_prefixes(child) + + add_prefixes(filter_ast) + + +def extract_join_columns_for_node(join_sql: str, node_name: str) -> set[str]: + """ + Extract column names from join SQL that belong to a specific node. + + Parses the join_sql (e.g., "v3.order_details.customer_id = v3.customer.customer_id") + and returns the short column names for columns belonging to the given node. + + Args: + join_sql: The join condition SQL string + node_name: The fully qualified node name to filter by + + Returns: + Set of short column names (e.g., {"customer_id"}) + + Examples: + extract_join_columns_for_node( + "v3.order_details.customer_id = v3.customer.customer_id", + "v3.order_details" + ) -> {"customer_id"} + """ + result: set[str] = set() + join_expr = parse(f"SELECT 1 WHERE {join_sql}").select.where + if join_expr: # pragma: no branch + prefix = node_name + SEPARATOR + for col in join_expr.find_all(ast.Column): + col_id = col.identifier() + if col_id.startswith(prefix): + result.add(get_short_name(col_id)) + return result + + +def get_dimension_table_alias( + resolved_dim: ResolvedDimension, + main_alias: str, + dim_aliases: dict[tuple[str, Optional[str]], str], +) -> str: + """ + Get the table alias for a resolved dimension's column. + + Args: + resolved_dim: The resolved dimension + main_alias: The alias for the main/parent table + dim_aliases: Map of (node_name, role) -> table_alias for dimension joins + + Returns: + The appropriate table alias to use for this dimension's column + """ + if resolved_dim.is_local: + return main_alias + elif resolved_dim.join_path: # pragma: no branch + final_dim_name = resolved_dim.join_path.target_node_name + dim_key = (final_dim_name, resolved_dim.role) + return dim_aliases.get(dim_key, main_alias) + return main_alias # pragma: no cover + + +def build_select_ast( + ctx: BuildContext, + metric_expressions: list[tuple[str, ast.Expression]], + resolved_dimensions: list[ResolvedDimension], + parent_node: Node, + grain_columns: list[str] | None = None, + filters: list[str] | None = None, + skip_aggregation: bool = False, +) -> ast.Query: + """ + Build a SELECT AST for measures SQL with JOIN support. + + Args: + ctx: Build context + metric_expressions: List of (alias, expression AST) tuples + resolved_dimensions: List of resolved dimension objects + parent_node: The parent node (fact/transform) + grain_columns: Optional list of columns required in GROUP BY for LIMITED + aggregability (e.g., ["customer_id"] for COUNT DISTINCT). + These are added to the output grain to enable re-aggregation. + filters: Optional list of filter strings to apply as WHERE clause. + Filter strings can reference dimensions (e.g., "v3.product.category = 'Electronics'") + or local columns (e.g., "status = 'active'"). + skip_aggregation: If True, skip adding GROUP BY clause. Used for non-decomposable + metrics where raw rows need to be passed through. + + Returns: + AST Query node + """ + # Build projection (SELECT clause) + # Use Any type to satisfy ast.Select.projection which accepts Union[Aliasable, Expression, Column] + projection: list[Any] = [] + grain_columns = grain_columns or [] + + # Generate alias for the main table + main_alias = ctx.next_table_alias(parent_node.name) + + # Track which dimension nodes need joins and their aliases + # Key by (node_name, role) to support multiple joins to same dimension with different roles + dim_aliases: dict[tuple[str, Optional[str]], str] = {} # (node_name, role) -> alias + joins: list[ast.Join] = [] + + # Process dimensions to build joins + for resolved_dim in resolved_dimensions: + if not resolved_dim.is_local and resolved_dim.join_path: + # Need to add join(s) for this dimension + current_left_alias = main_alias + + for link in resolved_dim.join_path.links: + dim_node_name = link.dimension.name + dim_key = (dim_node_name, resolved_dim.role) + + # Generate alias for dimension table if not already created + # Key includes role to allow multiple joins to same dimension with different roles + if dim_key not in dim_aliases: # pragma: no branch + # Use role as part of alias if present to distinguish multiple joins to same dim + if resolved_dim.role: + alias_base = resolved_dim.role.replace("->", "_") + else: + alias_base = get_short_name(dim_node_name) + dim_alias = ctx.next_table_alias(alias_base) + dim_aliases[dim_key] = dim_alias + + # Build join clause + join = build_join_clause(ctx, link, current_left_alias, dim_alias) + joins.append(join) + + # For multi-hop, the next join's left is this dimension + current_left_alias = dim_aliases[dim_key] + + # Add dimension columns to projection + for resolved_dim in resolved_dimensions: + table_alias = get_dimension_table_alias(resolved_dim, main_alias, dim_aliases) + + # Build column reference with table alias + col_ref = make_column_ref(resolved_dim.column_name, table_alias) + + # Register and apply clean alias + clean_alias = ctx.alias_registry.register(resolved_dim.original_ref) + if clean_alias != resolved_dim.column_name: + col_ref.alias = ast.Name(clean_alias) + + projection.append(col_ref) + + # Add grain columns for LIMITED aggregability (e.g., customer_id for COUNT DISTINCT) + # These are added to the output so the result can be re-aggregated + grain_col_refs: list[ast.Column] = [] + for grain_col in grain_columns: + col_ref = make_column_ref(grain_col, main_alias) + grain_col_refs.append(col_ref) + projection.append(col_ref) + + # Add metric expressions + for alias_name, expr in metric_expressions: + clean_alias = ctx.alias_registry.register(alias_name) + + # Rewrite column references in expression to use main table alias + def add_table_prefix(e): + if isinstance(e, ast.Column): + if e.name and not ( # pragma: no branch + e.name.namespace and e.name.namespace.name + ): + # Add table alias to unqualified columns + e.name = ast.Name(e.name.name, namespace=ast.Name(main_alias)) + for child in e.children if hasattr(e, "children") else []: + if child: # pragma: no branch + add_table_prefix(child) + + add_table_prefix(expr) + + # Clone expression and add alias + aliased_expr = ast.Alias( + alias=ast.Name(clean_alias), + child=expr, + ) + projection.append(aliased_expr) + + # Build GROUP BY (use same column references as projection, without aliases) + group_by: list[ast.Expression] = [] + for resolved_dim in resolved_dimensions: + table_alias = get_dimension_table_alias(resolved_dim, main_alias, dim_aliases) + group_by.append(make_column_ref(resolved_dim.column_name, table_alias)) + + # Add grain columns to GROUP BY for LIMITED aggregability + for grain_col in grain_columns: + group_by.append(make_column_ref(grain_col, main_alias)) + + # Collect all nodes that need CTEs and their needed columns + nodes_for_ctes: list[Node] = [] + needed_columns_by_node: dict[str, set[str]] = {} + + # Collect columns needed from parent node + parent_needed_cols: set[str] = set() + + # Add local dimension columns + for resolved_dim in resolved_dimensions: + if resolved_dim.is_local: + parent_needed_cols.add(resolved_dim.column_name) + + # Add grain columns for LIMITED aggregability + parent_needed_cols.update(grain_columns) + + # Add columns from metric expressions + for _, expr in metric_expressions: + parent_needed_cols.update(extract_columns_from_expression(expr)) + + # Add join key columns (from the left side of joins) + for resolved_dim in resolved_dimensions: + if resolved_dim.join_path: + for link in resolved_dim.join_path.links: + if link.join_sql: # pragma: no branch + parent_needed_cols.update( + extract_join_columns_for_node(link.join_sql, parent_node.name), + ) + + # Add temporal partition column if temporal filtering is enabled + # This ensures the column is available in the CTE for the WHERE clause + if ctx.include_temporal_filters and parent_node.current: + temporal_cols = parent_node.current.temporal_partition_columns() + if temporal_cols: # pragma: no branch + parent_needed_cols.add(temporal_cols[0].name) + + # Parent node needs CTE if it's not a source + if parent_node.type != NodeType.SOURCE: # pragma: no branch + nodes_for_ctes.append(parent_node) + needed_columns_by_node[parent_node.name] = parent_needed_cols + + # Dimension nodes from joins need CTEs + for resolved_dim in resolved_dimensions: + if resolved_dim.join_path: + for link in resolved_dim.join_path.links: + # Look up full node from ctx.nodes to avoid lazy loading + dim_node = ctx.nodes.get(link.dimension.name, link.dimension) + if dim_node and dim_node.type != NodeType.SOURCE: # pragma: no branch + if dim_node not in nodes_for_ctes: + nodes_for_ctes.append(dim_node) + + # Collect needed columns for this dimension + dim_cols: set[str] = set() + + # Add the dimension column being selected + if resolved_dim.join_path.target_node_name == dim_node.name: + dim_cols.add(resolved_dim.column_name) + + # Add join key columns from this dimension + if link.join_sql: # pragma: no branch + dim_cols.update( + extract_join_columns_for_node(link.join_sql, dim_node.name), + ) + + # Merge with existing if any + if dim_node.name in needed_columns_by_node: + needed_columns_by_node[dim_node.name].update(dim_cols) + else: + needed_columns_by_node[dim_node.name] = dim_cols + + # Build CTEs for all non-source nodes with column filtering + ctes = collect_node_ctes(ctx, nodes_for_ctes, needed_columns_by_node) + + # Build FROM clause with main table (use materialized table if available) + table_parts, _ = get_table_reference_parts_with_materialization(ctx, parent_node) + table_name = make_name(SEPARATOR.join(table_parts)) + + # Create relation with joins + primary_expr: ast.Expression = cast( + ast.Expression, + ast.Alias( + child=ast.Table(name=table_name), + alias=ast.Name(main_alias), + ), + ) + relation = ast.Relation( + primary=primary_expr, + extensions=joins, + ) + + from_clause = ast.From(relations=[relation]) + + # Inject temporal partition filters for incremental materialization + # This ensures partition pruning at the source level + all_filters = list(filters or []) + temporal_filter_ast = build_temporal_filter(ctx, parent_node, main_alias) + + # Build WHERE clause from filters + where_clause: Optional[ast.Expression] = None + if all_filters: + # Build column alias mapping for filter resolution + # Maps dimension refs to their table-qualified column names + filter_column_aliases: dict[str, str] = {} + + # Add dimension columns with their table aliases + for resolved_dim in resolved_dimensions: + table_alias = get_dimension_table_alias( + resolved_dim, + main_alias, + dim_aliases, + ) + # Map the original ref (e.g., "v3.product.category") to "category" + # The table alias is handled by resolve_filter_references + col_alias = ctx.alias_registry.get_alias(resolved_dim.original_ref) + if col_alias: # pragma: no branch + filter_column_aliases[resolved_dim.original_ref] = col_alias + else: + # Defensive: dimensions should always be registered + filter_column_aliases[resolved_dim.original_ref] = ( # pragma: no cover + resolved_dim.column_name + ) + + # Add local columns from the parent node (for simple column refs like "status") + if parent_node.current and parent_node.current.columns: # pragma: no branch + for col in parent_node.current.columns: + if col.name not in filter_column_aliases: # pragma: no branch + filter_column_aliases[col.name] = col.name + + # Parse and resolve filters + # Note: We don't pass a cte_alias because the column references are already + # qualified with their table aliases during dimension resolution + where_clause = parse_and_resolve_filters( + all_filters, + filter_column_aliases, + cte_alias=None, # Don't add table prefix - we'll handle it per column + ) + + # Now resolve table prefixes for filter columns based on where they come from + if where_clause: # pragma: no branch + _add_table_prefixes_to_filter( + where_clause, + resolved_dimensions, + main_alias, + dim_aliases, + ) + + # Combine user filters with temporal filter + if temporal_filter_ast: + if where_clause: + where_clause = ast.BinaryOp.And(where_clause, temporal_filter_ast) + else: + where_clause = temporal_filter_ast + + # Build SELECT + # For non-decomposable metrics, skip GROUP BY to pass through raw rows + effective_group_by = [] if skip_aggregation else (group_by if group_by else []) + select = ast.Select( + projection=projection, + from_=from_clause, + where=where_clause, + group_by=effective_group_by, + ) + + # Build Query with CTEs + query = ast.Query(select=select) + + # Add CTEs to the query + if ctes: + cte_list = [] + for cte_name, cte_query in ctes: + # Convert the query to a CTE using to_cte method + cte_query.to_cte(ast.Name(cte_name), query) + cte_list.append(cte_query) + query.ctes = cte_list + + return query + + +def build_temporal_filter( + ctx: BuildContext, + parent_node: Node, + table_alias: str, +) -> Optional[ast.Expression]: + """ + Build temporal filter expression based on partition metadata. + + Returns: + - BinaryOp (col = expr) for exact partition match + - Between (col BETWEEN start AND end) for lookback window + - None if temporal filtering not enabled or no partition configured + """ + if not ctx.include_temporal_filters or not parent_node.current: + return None + + temporal_cols = parent_node.current.temporal_partition_columns() + if not temporal_cols: + return None # pragma: no cover + + # Use the first temporal partition column + temporal_col = temporal_cols[0] + if not temporal_col.partition: + return None # pragma: no cover + + # Generate the temporal expression using partition metadata + # For exact partition: dateint = CAST(DATE_FORMAT(...), 'yyyyMMdd') AS INT) + # For lookback: dateint BETWEEN start_expr AND end_expr + col_ref = make_column_ref(temporal_col.name, table_alias) + + # Get the end expression (current logical timestamp) + end_expr = temporal_col.partition.temporal_expression(interval=None) + + if ctx.lookback_window and end_expr: + # For lookback, generate BETWEEN filter + # Start = DJ_LOGICAL_TIMESTAMP() - interval + if start_expr := temporal_col.partition.temporal_expression( + interval=ctx.lookback_window, + ): + return ast.Between( + expr=col_ref, + low=start_expr, + high=end_expr, + ) + elif end_expr: + # No lookback - exact partition match + return ast.BinaryOp( + left=col_ref, + right=end_expr, + op=ast.BinaryOpKind.Eq, + ) + + return None # pragma: no cover + + +# TODO: Remove this once we have a way to test pre-aggregations +def build_grain_group_from_preagg( # pragma: no cover + ctx: BuildContext, + grain_group: GrainGroup, + preagg: "PreAggregation", + resolved_dimensions: list[ResolvedDimension], + components_per_metric: dict[str, int], +) -> GrainGroupSQL: + """ + Build SQL for a grain group using a pre-aggregation table. + + Instead of computing from source, generates SQL that reads from the + pre-aggregation's materialized table and re-aggregates to the requested grain. + + The generated SQL looks like: + SELECT dim1, dim2, SUM(measure1), SUM(measure2), ... + FROM catalog.schema.preagg_table + GROUP BY dim1, dim2 + + Args: + ctx: Build context + grain_group: The grain group to generate SQL for + preagg: The pre-aggregation to use + resolved_dimensions: Pre-resolved dimensions with join paths + components_per_metric: Metric name -> component count mapping + + Returns: + GrainGroupSQL with SQL and metadata for this grain group + """ + parent_node = grain_group.parent_node + avail = preagg.availability + + if not avail: # pragma: no cover + raise ValueError(f"Pre-agg {preagg.id} has no availability") + + # Build table reference + table_parts = [p for p in [avail.catalog, avail.schema_, avail.table] if p] + + # Build SELECT columns + select_items: list[ast.Aliasable | ast.Expression | ast.Column] = [] + columns: list[ColumnMetadata] = [] + component_aliases: dict[str, str] = {} + metrics_covered: set[str] = set() + unique_components: list[MetricComponent] = [] + seen_components: set[str] = set() + + # Add dimension columns (grain columns) + grain_col_names: list[str] = [] + for dim in resolved_dimensions: + col_name = dim.column_name + grain_col_names.append(col_name) + + col_ref = ast.Column(name=ast.Name(col_name)) + select_items.append(col_ref) + + # Get type from pre-agg columns if available + col_type = preagg.get_column_type(col_name, default="string") + columns.append( + ColumnMetadata( + name=col_name, + semantic_name=dim.original_ref, + type=col_type, + semantic_type="dimension", + ), + ) + + # Add measure columns with re-aggregation (or grain columns if no merge func) + for metric_node, component in grain_group.components: + metrics_covered.add(metric_node.name) + + # Deduplicate components + if component.name in seen_components: + continue + seen_components.add(component.name) + unique_components.append(component) + + # Find the measure column name in the pre-agg + measure_col = get_preagg_measure_column(preagg, component) + if not measure_col: # pragma: no cover + raise ValueError( + f"Component {component.name} not found in pre-agg {preagg.id}", + ) + + # Always use the measure column name (component hash) as the output alias + # This ensures consistency with the non-preagg path + output_alias = measure_col + + component_aliases[component.name] = output_alias + + col_ref = ast.Column(name=ast.Name(measure_col)) + + # If no merge function, output column directly (e.g., grain column for LIMITED) + # Otherwise, apply the merge function for re-aggregation + if component.merge: + agg_expr = ast.Function( + name=ast.Name(component.merge), + args=[col_ref], + ) + aliased = ast.Alias(child=agg_expr, alias=ast.Name(output_alias)) + select_items.append(aliased) + else: + # No merge - output grain column directly, add to GROUP BY + select_items.append(col_ref) + grain_col_names.append(measure_col) + output_alias = measure_col + component_aliases[component.name] = output_alias + + # Get type from pre-agg columns + col_type = preagg.get_column_type(measure_col, default="double") + columns.append( + ColumnMetadata( + name=output_alias, + semantic_name=metric_node.name, + type=col_type, + semantic_type="metric" if component.merge else "dimension", + ), + ) + + # Build GROUP BY clause (list of column references) + group_by: list[ast.Expression] = [] + if grain_col_names: + group_by = [ast.Column(name=ast.Name(col)) for col in grain_col_names] + + # Build FROM clause using the helper method + from_clause = ast.From.Table(SEPARATOR.join(table_parts)) + + # Build SELECT statement + select = ast.Select( + projection=select_items, + from_=from_clause, + group_by=group_by, + ) + + # Build the query + query = ast.Query(select=select) + + return GrainGroupSQL( + query=query, + columns=columns, + grain=grain_col_names, + aggregability=grain_group.aggregability, + metrics=list(metrics_covered), + parent_name=parent_node.name, + component_aliases=component_aliases, + is_merged=grain_group.is_merged, + component_aggregabilities=grain_group.component_aggregabilities, + components=unique_components, + dialect=ctx.dialect, + ) + + +def build_grain_group_sql( + ctx: BuildContext, + grain_group: GrainGroup, + resolved_dimensions: list[ResolvedDimension], + components_per_metric: dict[str, int], +) -> GrainGroupSQL: + """ + Build SQL for a single grain group. + + First checks if a matching pre-aggregation is available. If so, uses the + pre-agg table. Otherwise, computes from source tables. + + Args: + ctx: Build context + grain_group: The grain group to generate SQL for + resolved_dimensions: Pre-resolved dimensions with join paths + components_per_metric: Metric name -> component count mapping + + Returns: + GrainGroupSQL with SQL and metadata for this grain group + """ + parent_node = grain_group.parent_node + + # Check for matching pre-aggregation + # TODO: Remove this once we have a way to test pre-aggregations + if ctx.use_materialized and ctx.available_preaggs: # pragma: no cover + requested_grain = [dim.original_ref for dim in resolved_dimensions] + matching_preagg = find_matching_preagg( + ctx, + parent_node, + requested_grain, + grain_group, + ) + if matching_preagg: + return build_grain_group_from_preagg( + ctx, + grain_group, + matching_preagg, + resolved_dimensions, + components_per_metric, + ) + + # Build list of component expressions with their aliases + component_expressions: list[tuple[str, ast.Expression]] = [] + component_metadata: list[tuple[str, MetricComponent, Node]] = [] + + # Track which metrics are covered by this grain group + metrics_covered: set[str] = set() + + # Track which components we've already added (deduplicate by component name) + seen_components: set[str] = set() + + # Collect unique MetricComponent objects for the API response + unique_components: list[MetricComponent] = [] + + # Track mapping from component name to actual SQL alias + # This is needed for metrics SQL to correctly reference component columns + component_aliases: dict[str, str] = {} + + for metric_node, component in grain_group.components: + metrics_covered.add(metric_node.name) + + # Deduplicate components - same component may appear for multiple derived metrics + if component.name in seen_components: + continue + seen_components.add(component.name) + + # Collect unique components for API response + unique_components.append(component) + + # For NONE aggregability, output raw columns (no aggregation possible) + # Note: This path is only hit for BASE metrics with NONE aggregability + # (e.g., metrics with RANK() directly). Derived metrics with window functions + # don't go through this path - they're computed in generate_metrics_sql. + if grain_group.aggregability == Aggregability.NONE: # pragma: no cover + if component.expression: + col_ast = make_column_ref(component.expression) + component_alias = component.expression + component_expressions.append((component_alias, col_ast)) + component_metadata.append( + (component_alias, component, metric_node), + ) + component_aliases[component.name] = component_alias + continue + + # For merged grain groups, handle based on original component aggregability + if grain_group.is_merged: + orig_agg = grain_group.component_aggregabilities.get( + component.name, + Aggregability.FULL, + ) + if orig_agg == Aggregability.LIMITED: + # LIMITED: grain column is already in GROUP BY, no output needed + # The grain column (e.g., order_id) will be used for COUNT DISTINCT + # in the final SELECT + # Still set alias to the grain column name for pre-agg creation + grain_col = ( + component.rule.level[0] + if component.rule.level + else component.expression + ) + component_aliases[component.name] = grain_col + continue + else: + # FULL: apply aggregation at finest grain, will be re-aggregated in final SELECT + # Always use component.name for consistency - no special case for single-component + component_alias = component.name + expr_ast = build_component_expression(component) + component_expressions.append((component_alias, expr_ast)) + component_metadata.append( + (component_alias, component, metric_node), + ) + component_aliases[component.name] = component_alias + continue + + # Skip LIMITED aggregability components with no aggregation + # These are represented by grain columns instead + if component.rule.type == Aggregability.LIMITED and not component.aggregation: + # Still set alias to the grain column name for pre-agg creation + grain_col = ( + component.rule.level[0] + if component.rule.level + else component.expression + ) + component_aliases[component.name] = grain_col + continue + + # Always use component.name for consistency - no special case for single-component + component_alias = component.name + + expr_ast = build_component_expression(component) + component_expressions.append((component_alias, expr_ast)) + component_metadata.append((component_alias, component, metric_node)) + + # Track the mapping from component name to actual SQL alias + # This is needed for metrics SQL to correctly reference component columns + component_aliases[component.name] = component_alias + + # Handle non-decomposable metrics (like MAX_BY) + # Extract column references from the metric expression and pass them through + non_decomposable_columns: list[tuple[str, ast.Expression]] = [] + for decomposed in grain_group.non_decomposable_metrics: + metrics_covered.add(decomposed.metric_node.name) + + # Extract column references from the metric's derived AST + # These are the columns needed for the aggregation function + for col in decomposed.derived_ast.find_all(ast.Column): + col_name = col.name.name if col.name else None + if col_name and col_name not in seen_components: # pragma: no branch + seen_components.add(col_name) + col_ast = make_column_ref(col_name) + non_decomposable_columns.append((col_name, col_ast)) + + # Determine grain columns for this group + if grain_group.is_merged: + # Merged: use finest grain (all grain columns from merged groups) + effective_grain_columns = grain_group.grain_columns + elif grain_group.aggregability == Aggregability.NONE: + # NONE: use native grain (PK columns) + effective_grain_columns = grain_group.grain_columns + elif grain_group.aggregability == Aggregability.LIMITED: + # LIMITED: use level columns from components + effective_grain_columns = grain_group.grain_columns + else: + # FULL: no additional grain columns + effective_grain_columns = [] + + # Build AST + # For non-decomposable metrics (NONE aggregability with no components), + # we pass through raw rows without aggregation + if grain_group.non_decomposable_metrics and not component_expressions: + # Pure non-decomposable case: pass through raw rows (no GROUP BY) + # Add non-decomposable columns to grain_columns so they appear as plain columns + # (not aliased expressions) since we're just selecting them for pass-through + pass_through_columns = effective_grain_columns + [ + col_name for col_name, _ in non_decomposable_columns + ] + query_ast = build_select_ast( + ctx, + metric_expressions=[], # No aggregated expressions + resolved_dimensions=resolved_dimensions, + parent_node=parent_node, + grain_columns=pass_through_columns, + filters=ctx.filters, + skip_aggregation=True, # Don't add GROUP BY + ) + else: + # Normal case: combine component expressions with non-decomposable columns + all_metric_expressions = component_expressions + non_decomposable_columns + query_ast = build_select_ast( + ctx, + metric_expressions=all_metric_expressions, + resolved_dimensions=resolved_dimensions, + parent_node=parent_node, + grain_columns=effective_grain_columns, + filters=ctx.filters, + ) + + # Build column metadata + columns_metadata = [] + + # Add dimension columns + for resolved_dim in resolved_dimensions: + alias = ( + ctx.alias_registry.get_alias(resolved_dim.original_ref) + or resolved_dim.column_name + ) + if resolved_dim.is_local: + col_type = get_column_type(parent_node, resolved_dim.column_name) + else: + dim_node = ctx.nodes.get(resolved_dim.node_name) + col_type = ( + get_column_type(dim_node, resolved_dim.column_name) + if dim_node + else "string" + ) + columns_metadata.append( + ColumnMetadata( + name=alias, + semantic_name=resolved_dim.original_ref, + type=col_type, + semantic_type="dimension", + ), + ) + + # Add grain columns (for LIMITED and NONE) + for grain_col in effective_grain_columns: + col_type = get_column_type(parent_node, grain_col) + columns_metadata.append( + ColumnMetadata( + name=grain_col, + semantic_name=f"{parent_node.name}{SEPARATOR}{grain_col}", + type=col_type, + semantic_type="dimension", # Added for aggregability (e.g., customer_id for COUNT DISTINCT) + ), + ) + + # Add metric component columns + # All decomposed metrics are now treated as components - no special case for single-component + for comp_alias, component, metric_node in component_metadata: + # Get metric output type (metrics have exactly one output column) + metric_type = str(metric_node.current.columns[0].type) + if grain_group.aggregability == Aggregability.NONE: + # NONE: raw column, will be aggregated in metrics SQL + columns_metadata.append( # pragma: no cover + ColumnMetadata( + name=comp_alias, + semantic_name=f"{metric_node.name}:{component.expression}", + type=metric_type, + semantic_type="metric_input", # Raw input for non-aggregatable metric + ), + ) + else: + columns_metadata.append( + ColumnMetadata( + name=ctx.alias_registry.get_alias(comp_alias) or comp_alias, + semantic_name=f"{metric_node.name}:{component.name}", + type=infer_component_type(component, metric_type, parent_node), + semantic_type="metric_component", + ), + ) + + # Add columns for non-decomposable metrics (raw columns passed through) + for col_name, _ in non_decomposable_columns: + col_type = get_column_type(parent_node, col_name) + columns_metadata.append( + ColumnMetadata( + name=col_name, + semantic_name=f"{parent_node.name}{SEPARATOR}{col_name}", + type=col_type, + semantic_type="dimension", # Treated as dimension (raw value for aggregation) + ), + ) + + # Build the full grain list (GROUP BY columns or unique row identity) + # For NONE aggregability, grain is just the native grain (no dimensions) + # because we're passing through raw rows without grouping + full_grain = [] + if grain_group.aggregability != Aggregability.NONE: + # FULL/LIMITED: dimensions are part of the grain + for resolved_dim in resolved_dimensions: + alias = ( + ctx.alias_registry.get_alias(resolved_dim.original_ref) + or resolved_dim.column_name + ) + full_grain.append(alias) + + # Add any additional grain columns (from LIMITED/NONE aggregability) + for grain_col in effective_grain_columns: + if grain_col not in full_grain: # pragma: no branch + full_grain.append(grain_col) + + # Sort for deterministic output + full_grain.sort() + + return GrainGroupSQL( + query=query_ast, + columns=columns_metadata, + grain=full_grain, + aggregability=grain_group.aggregability, + metrics=list(metrics_covered), + parent_name=grain_group.parent_node.name, + component_aliases=component_aliases, + is_merged=grain_group.is_merged, + component_aggregabilities=grain_group.component_aggregabilities, + components=unique_components, + dialect=ctx.dialect, + ) + + +def process_metric_group( + ctx: BuildContext, + metric_group: MetricGroup, +) -> list[GrainGroupSQL]: + """ + Process a single MetricGroup into one or more GrainGroupSQLs. + + This handles: + 1. Counting components per metric for naming strategy + 2. Analyzing grain groups by aggregability + 3. Resolving dimension join paths + 4. Building SQL for each grain group + + Args: + ctx: Build context + metric_group: The metric group to process + + Returns: + List of GrainGroupSQL, one per aggregability level + """ + parent_node = metric_group.parent_node + + # Count components per metric to determine naming strategy + components_per_metric: dict[str, int] = {} + for decomposed in metric_group.decomposed_metrics: + components_per_metric[decomposed.metric_node.name] = len(decomposed.components) + + # Analyze grain groups - split by aggregability + # Extract just the column names from dimensions for grain analysis + dim_column_names = [parse_dimension_ref(d).column_name for d in ctx.dimensions] + grain_groups = analyze_grain_groups(metric_group, dim_column_names) + + # Merge compatible grain groups from same parent into single CTEs + # This optimization reduces duplicate JOINs by outputting raw values + # at finest grain, with aggregations applied in final SELECT + grain_groups = merge_grain_groups(grain_groups) + + # Resolve dimensions (find join paths) - shared across grain groups + resolved_dimensions = resolve_dimensions(ctx, parent_node) + + # Build SQL for each grain group + grain_group_sqls: list[GrainGroupSQL] = [] + for grain_group in grain_groups: + # Reset alias registry for each grain group to avoid conflicts + ctx.alias_registry = AliasRegistry() + ctx._table_alias_counter = 0 + + grain_group_sql = build_grain_group_sql( + ctx, + grain_group, + resolved_dimensions, + components_per_metric, + ) + grain_group_sqls.append(grain_group_sql) + return grain_group_sqls + + +def build_window_metric_grain_groups( + ctx: BuildContext, + window_metric_grains: dict[str, set[str]], + existing_grain_groups: list[GrainGroupSQL], + decomposed_metrics: dict, +) -> list[GrainGroupSQL]: + """ + Build additional grain groups for window metrics that require grain-level aggregation. + + LAG/LEAD window functions need pre-aggregation at their ORDER BY grain before the + window function is applied. This function creates grain groups at those grains. + + For example, for a WoW metric `LAG(revenue, 1) OVER (ORDER BY v3.date.week)`: + - The base metric `revenue` is already computed at the user's requested grain (e.g., daily) + - We need an additional grain group at the WEEKLY grain for the LAG to compare properly + - The weekly grain group excludes finer-grained time dimensions (like daily) + + These grain groups go through normal pre-agg matching, so if a pre-agg exists at the + window metric's grain (e.g., weekly), it will be used instead of re-scanning source tables. + + Args: + ctx: Build context + window_metric_grains: Mapping of metric_name -> set of ORDER BY column refs + (e.g., {"v3.wow_revenue": {"v3.date.week"}}) + existing_grain_groups: Grain groups already built (for finding components) + decomposed_metrics: Decomposed metric info + + Returns: + List of additional GrainGroupSQL for window metrics at their ORDER BY grains + """ + if not window_metric_grains: + return [] # pragma: no cover + + # First, determine the parent fact for each window metric + # This is based on which grain group the base metric(s) belong to + def find_grain_group_parent(metric_name: str, visited: set[str]) -> set[str]: + """ + Recursively find the grain group parent(s) for a metric. + + For base metrics: returns the grain group parent directly + For derived metrics: traces through to find the underlying base metrics + + Returns set of grain group parent names (e.g., {"thumb_rating"}) + """ + if metric_name in visited: + return set() # pragma: no cover + visited.add(metric_name) + + # Check if this metric is directly in a grain group + for gg in existing_grain_groups: + if metric_name in gg.metrics: + return {gg.parent_name} + + # Not in a grain group - might be a derived metric + # Check parent_map for dependencies + parent_names = ctx.parent_map.get(metric_name, []) + grain_group_parents: set[str] = set() + for parent_name in parent_names: + metric_parent = ctx.nodes.get(parent_name) + if ( + metric_parent and metric_parent.type.value == "metric" + ): # pragma: no branch + # Recursively find grain group parents + grain_group_parents.update( + find_grain_group_parent(parent_name, visited), + ) + + return grain_group_parents + + def find_parent_for_window_metric( + metric_name: str, + ) -> tuple[Optional[str], set[str]]: + """ + Find the parent fact name and base metrics for a window metric. + + Returns: + Tuple of (parent_name, base_metrics_set) + parent_name is None if base metrics span multiple facts (cross-fact) + """ + decomposed = decomposed_metrics.get(metric_name) + if not decomposed or not isinstance(decomposed, DecomposedMetricInfo): + return None, set() # pragma: no cover + + base_metrics: set[str] = set() + + # Find parent metrics from parent_map + metric_parent_names = ctx.parent_map.get(metric_name, []) + for parent_name in metric_parent_names: + metric_parent = ctx.nodes.get(parent_name) + if ( + metric_parent and metric_parent.type.value == "metric" + ): # pragma: no branch + base_metrics.add(parent_name) + + # Trace through to find the grain group parents (handles derived metrics) + all_grain_group_parents: set[str] = set() + for base_metric in base_metrics: + all_grain_group_parents.update( + find_grain_group_parent(base_metric, set()), + ) + + if len(all_grain_group_parents) == 1: + return next(iter(all_grain_group_parents)), base_metrics + elif len(all_grain_group_parents) > 1: + # Cross-fact window metric + return None, base_metrics + else: + return None, base_metrics # pragma: no cover + + # Group window metrics by (ORDER BY grain, parent fact) + # This ensures window metrics from different facts are processed separately + # Key: (frozenset of grain cols, parent_name or "cross_fact") + grain_parent_to_metrics: dict[tuple[frozenset[str], str], list[str]] = {} + grain_parent_to_base_metrics: dict[tuple[frozenset[str], str], set[str]] = {} + + for metric_name, grains in window_metric_grains.items(): + grain_key = frozenset(grains) + parent_name, base_metrics = find_parent_for_window_metric(metric_name) + # Use "cross_fact" as a marker for cross-fact window metrics + parent_key = parent_name if parent_name else "cross_fact" + + group_key = (grain_key, parent_key) + if group_key not in grain_parent_to_metrics: + grain_parent_to_metrics[group_key] = [] + grain_parent_to_base_metrics[group_key] = set() + grain_parent_to_metrics[group_key].append(metric_name) + grain_parent_to_base_metrics[group_key].update(base_metrics) + + additional_grain_groups: list[GrainGroupSQL] = [] + + for (grain_cols, parent_key), metric_names in grain_parent_to_metrics.items(): + # Build dimension node mapping for this grain + # grain_cols contains full refs like "v3.date.week" or "v3.date.week[order]" + grain_dim_nodes: set[str] = set() + grain_col_names: set[str] = set() + for grain_col in grain_cols: + clean_ref = strip_role_suffix(grain_col) + grain_dim_nodes.add(extract_dimension_node(clean_ref)) + # Extract just the column name + col_name = clean_ref.rsplit(SEPARATOR, 1)[-1] + grain_col_names.add(col_name) + + # Get the base metrics needed for this group + base_metrics_needed = grain_parent_to_base_metrics[(grain_cols, parent_key)] + + if not base_metrics_needed: + continue # pragma: no cover + + # Find the components for these base metrics from existing grain groups + # Also identify the parent node for the grain group + components_for_grain: list[tuple[Node, MetricComponent]] = [] + parent_node: Optional[Node] = None + component_aggregabilities: dict[str, Aggregability] = {} + is_cross_fact = parent_key == "cross_fact" + + for gg in existing_grain_groups: + for base_metric_name in base_metrics_needed: + if base_metric_name in gg.metrics: + # Found a grain group containing this base metric + if parent_node is None: + parent_node = ctx.nodes.get(gg.parent_name) + + # Get the components for this metric from decomposed_metrics + base_decomposed = decomposed_metrics.get(base_metric_name) + if base_decomposed and isinstance( # pragma: no branch + base_decomposed, + DecomposedMetricInfo, + ): + metric_node = base_decomposed.metric_node + for component in base_decomposed.components: + components_for_grain.append((metric_node, component)) + component_aggregabilities[component.name] = ( + base_decomposed.aggregability + ) + + if not parent_node or not components_for_grain: + continue + + # Determine which dimensions to include at this grain + # Exclude all dimensions from the same dimension node as the ORDER BY columns + # (except the ORDER BY columns themselves) + filtered_dimensions: list[str] = [] + for dim_ref in ctx.dimensions: + clean_ref = strip_role_suffix(dim_ref) + dim_node = extract_dimension_node(clean_ref) + col_name = clean_ref.rsplit(SEPARATOR, 1)[-1] + + if dim_node in grain_dim_nodes: + # Same dimension node as ORDER BY - only include if it's the ORDER BY column + if col_name in grain_col_names: + filtered_dimensions.append(dim_ref) + else: + # Different dimension node - include it + filtered_dimensions.append(dim_ref) + + # Skip creating a window grain group if the grain matches the user-requested grain + # In this case, the window function can be applied directly to base_metrics + if set(filtered_dimensions) == set(ctx.dimensions): + continue + + # Save original dimensions and temporarily set filtered dimensions + # We can't deepcopy ctx because it contains AsyncSession + original_dimensions = ctx.dimensions + ctx.dimensions = filtered_dimensions + ctx.alias_registry = AliasRegistry() + ctx._table_alias_counter = 0 + + # Resolve dimensions for this grain + resolved_dimensions = resolve_dimensions(ctx, parent_node) + + # Create GrainGroup for the window metrics + # Use FULL aggregability since we're aggregating to a specific grain + grain_group = GrainGroup( + parent_node=parent_node, + aggregability=Aggregability.FULL, + grain_columns=[], + components=components_for_grain, + is_merged=False, + component_aggregabilities=component_aggregabilities, + ) + + # Build GrainGroupSQL + components_per_metric: dict[str, int] = {} + for metric_name in base_metrics_needed: + base_decomposed = decomposed_metrics.get(metric_name) + if base_decomposed and isinstance( # pragma: no branch + base_decomposed, + DecomposedMetricInfo, + ): + components_per_metric[metric_name] = len(base_decomposed.components) + + grain_group_sql = build_grain_group_sql( + ctx, + grain_group, + resolved_dimensions, + components_per_metric, + ) + + # Restore original dimensions + ctx.dimensions = original_dimensions + + # Tag this grain group with the window metrics it serves + # This helps metrics SQL identify which grain group to use + grain_group_sql.metrics = list(metric_names) + + # Mark as a window grain group with metadata for metrics phase + grain_group_sql.is_window_grain_group = True + grain_group_sql.window_metrics_served = list(metric_names) + # Use the first grain column as the ORDER BY dimension + grain_group_sql.window_order_by_dim = ( + next(iter(grain_cols)) if grain_cols else None + ) + # Mark if this is a cross-fact window group (needs base_metrics as source) + grain_group_sql.is_cross_fact_window = is_cross_fact + + additional_grain_groups.append(grain_group_sql) + + return additional_grain_groups diff --git a/datajunction-server/datajunction_server/construction/build_v3/metrics.py b/datajunction-server/datajunction_server/construction/build_v3/metrics.py new file mode 100644 index 000000000..c68e95ca0 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/metrics.py @@ -0,0 +1,1852 @@ +""" +Metrics SQL Generation + +This module handles generating the final metrics SQL query, +combining grain groups and applying combiner expressions. +""" + +from __future__ import annotations + +import logging +from copy import deepcopy +from dataclasses import dataclass +from typing import Any, Optional + +from datajunction_server.construction.build_v3.cte import ( + build_alias_to_dimension_node, + extract_dim_info_from_grain_groups, + get_column_full_name, + has_window_function, + inject_partition_by_into_windows, + process_metric_combiner_expression, + replace_component_refs_in_ast, + replace_dimension_refs_in_ast, + replace_metric_refs_in_ast, +) +from datajunction_server.construction.build_v3.filters import ( + parse_and_resolve_filters, +) +from datajunction_server.construction.build_v3.utils import ( + build_join_from_clause, + get_short_name, + make_column_ref, +) +from datajunction_server.construction.build_v3.types import ( + BaseMetricsResult, + BuildContext, + ColumnMetadata, + ColumnRef, + ColumnResolver, + ColumnType, + DecomposedMetricInfo, + GeneratedMeasuresSQL, + GeneratedSQL, + GrainGroupSQL, + MetricExprInfo, +) +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.decompose import Aggregability +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing import ast + +logger = logging.getLogger(__name__) + + +def build_base_metric_expression( + decomposed: DecomposedMetricInfo, + cte_alias: str, + gg: GrainGroupSQL, +) -> tuple[ast.Expression, dict[str, tuple[str, str]]]: + """ + Build an expression AST for a base metric from a grain group. + + Always applies re-aggregation in the final SELECT using the component's + merge function (e.g., SUM for sums/counts, MIN for min, hll_union for HLL). + + This is correct whether the CTE is at the exact requested grain or finer: + - If CTE is at requested grain: re-aggregation is a no-op (SUM of one = that one) + - If CTE is at finer grain: re-aggregation does actual work + + Args: + decomposed: Decomposed metric info with components and combiner + cte_alias: Alias of the grain group CTE + gg: The grain group SQL containing component metadata + + Returns: + Tuple of (expression AST, component column mappings) + The component mappings are {component_name: (cte_alias, column_name)} + """ + comp_mappings: dict[str, tuple[str, str]] = {} + + # Build component -> column mappings + # For merged: use component_aggregabilities to determine column source + # For non-merged: use decomposed.aggregability + for comp in decomposed.components: + if gg.is_merged: + orig_agg = gg.component_aggregabilities.get(comp.name, Aggregability.FULL) + else: + orig_agg = decomposed.aggregability + + if orig_agg == Aggregability.LIMITED: + # LIMITED: use component alias if available (cube case), else grain column + # For cubes, the component is pre-aggregated and we need to use its column name + actual_col = gg.component_aliases.get(comp.name) + if actual_col: + comp_mappings[comp.name] = (cte_alias, actual_col) + else: # pragma: no cover + # Not from cube - use grain column for COUNT DISTINCT + grain_col = comp.rule.level[0] if comp.rule.level else comp.expression + comp_mappings[comp.name] = (cte_alias, grain_col) + else: + # FULL/NONE: use pre-aggregated column + actual_col = gg.component_aliases.get(comp.name, comp.name) + comp_mappings[comp.name] = (cte_alias, actual_col) # type: ignore + + # Build the aggregation expression + expr_ast = _build_metric_aggregation(decomposed, cte_alias, gg, comp_mappings) + return expr_ast, comp_mappings + + +def _build_metric_aggregation( + decomposed: DecomposedMetricInfo, + cte_alias: str, + gg: GrainGroupSQL, + comp_mappings: dict[str, tuple[str, str]], +) -> ast.Expression: + """ + Build aggregation expression for a metric. + + Always uses combiner_ast from decomposition to ensure correct handling of + complex combiners like HLL (which needs hll_sketch_estimate wrapped around + hll_union_agg), not just the bare merge function. + + Special case: LIMITED aggregability (COUNT DISTINCT) is handled separately + since it can't be pre-aggregated. + + This works whether the CTE is at exact grain or finer grain: + - Exact grain: re-aggregation is a no-op (SUM of one value = that value) + - Finer grain: re-aggregation does actual combining + + Args: + decomposed: Decomposed metric info + cte_alias: CTE alias for column references + gg: Grain group SQL with aggregability info + comp_mappings: Pre-computed component -> (alias, column) mappings + """ + + # Determine aggregability for each component + def get_comp_aggregability(comp_name: str) -> Aggregability: + if gg.is_merged: + return gg.component_aggregabilities.get(comp_name, Aggregability.FULL) + return decomposed.aggregability + + # Handle LIMITED aggregability (COUNT DISTINCT) specially + # This can't be pre-aggregated, so we need COUNT(DISTINCT grain_col) + if len(decomposed.components) == 1: + comp = decomposed.components[0] + orig_agg = get_comp_aggregability(comp.name) + + if orig_agg == Aggregability.LIMITED: + _, col_name = comp_mappings[comp.name] + distinct_col = make_column_ref(col_name, cte_alias) + agg_name = comp.aggregation or "COUNT" + return ast.Function( + ast.Name(agg_name), + args=[distinct_col], + quantifier=ast.SetQuantifier.Distinct, + ) + + # For all other cases (single-component like HLL, or multi-component), + # use combiner_ast to get the full expression structure. + # This ensures complex combiners like hll_sketch_estimate(hll_union_agg(...)) + # are handled correctly, not just the bare merge function. + expr_ast = deepcopy(decomposed.combiner_ast) + replace_component_refs_in_ast(expr_ast, comp_mappings) + return expr_ast + + +def collect_and_build_ctes( + grain_groups: list[GrainGroupSQL], +) -> tuple[list[ast.Query], list[str]]: + """ + Collect shared CTEs and convert grain groups to CTEs. + Returns (all_cte_asts, cte_aliases). + """ + # Collect all inner CTEs, dedupe by original name + # CTEs with the same name are shared (e.g., v3_product dimension used by multiple grain groups) + shared_ctes: dict[str, ast.Query] = {} # original_name -> CTE AST + + for gg in grain_groups: + gg_query = gg.query + if gg_query.ctes: # pragma: no branch + for inner_cte in gg_query.ctes: + cte_name = str(inner_cte.alias) if inner_cte.alias else "unnamed_cte" + if cte_name not in shared_ctes: + # First time seeing this CTE - add it + shared_ctes[cte_name] = deepcopy(inner_cte) + + # Build grain group aliases and CTEs + all_cte_asts: list[ast.Query] = [] + cte_aliases: list[str] = [] + + # Add shared CTEs first (no prefix - they keep original names) + for cte_ast in shared_ctes.values(): + all_cte_asts.append(cte_ast) + + # Track index per parent for naming: {parent}_{index} + parent_index_counter: dict[str, int] = {} + + for gg in grain_groups: + # Get short parent name (last part after separator) + parent_short = get_short_name(gg.parent_name) + # Get next index for this parent + idx = parent_index_counter.get(parent_short, 0) + parent_index_counter[parent_short] = idx + 1 + alias = f"{parent_short}_{idx}" + cte_aliases.append(alias) + + # gg.query is already an AST - no need to parse! + gg_query = gg.query + + # Build the grain group CTE (main SELECT, no inner CTEs) + # Table references already use original CTE names (which are now shared) + gg_main = deepcopy(gg_query) + gg_main.ctes = [] # Clear inner CTEs - they're now in shared layer + + # Convert to CTE with the grain group alias + gg_main.to_cte(ast.Name(alias), None) + all_cte_asts.append(gg_main) + + return all_cte_asts, cte_aliases + + +def get_dimension_types( + grain_groups: list[GrainGroupSQL], +) -> dict[str, str]: + """ + Extract dimension types from grain group columns. + + Returns mapping of semantic_name -> type. + """ + dim_types: dict[str, str] = {} + for gg in grain_groups: + for col in gg.columns: + if col.semantic_type == "dimension" and col.semantic_name not in dim_types: + dim_types[col.semantic_name] = col.type + return dim_types + + +def parse_dimension_refs( + ctx: BuildContext, + dimensions: list[str], +) -> list[tuple[str, str]]: + """ + Parse dimension references and register aliases. + + Returns list of (original_dim_ref, col_alias) tuples. + """ + dim_info: list[tuple[str, str]] = [] + for dim in dimensions: + # Generate a consistent alias for this dimension + # Using register() ensures we get a proper alias (with role suffix if applicable) + col_name = ctx.alias_registry.register(dim) + dim_info.append((dim, col_name)) + return dim_info + + +def build_dimension_alias_map( + dim_info: list[tuple[str, str]], +) -> dict[str, str]: + """ + Build mapping from dimension refs to column aliases. + + Maps both the full reference (with role) and the base reference (without role) + to the alias. For example: + - "v3.date.month[order]" -> "month_order" + - "v3.date.month" -> "month_order" (if not already mapped) + """ + dimension_aliases: dict[str, str] = {} + for original_dim_ref, col_alias in dim_info: + dimension_aliases[original_dim_ref] = col_alias + # Also map the base dimension (without role) if different + if "[" in original_dim_ref: + base_ref = original_dim_ref.split("[")[0] + # Only add base ref if not already mapped (first role wins) + if base_ref not in dimension_aliases: # pragma: no branch + dimension_aliases[base_ref] = col_alias + return dimension_aliases + + +def qualify_dimension_refs( + dimension_aliases: dict[str, str], + cte_alias: str, +) -> dict[str, tuple[str, str]]: + """ + Convert dimension aliases to CTE-qualified refs. + + Args: + dimension_aliases: Mapping from dimension refs to column aliases + cte_alias: The CTE alias to qualify with + + Returns: + Mapping from dimension refs to (cte_alias, column_name) tuples + """ + return { + dim_ref: (cte_alias, col_alias) + for dim_ref, col_alias in dimension_aliases.items() + } + + +def build_dimension_projection( + dim_info: list[tuple[str, str]], + cte_aliases: list[str], + dim_types: dict[str, str], +) -> tuple[list[Any], list[ColumnMetadata]]: + """ + Build COALESCE projection for dimensions across grain groups. + + Returns (projection, columns_metadata) where projection contains + COALESCE(gg0.dim, gg1.dim, ...) AS dim expressions. + """ + projection: list[Any] = [] + columns_metadata: list[ColumnMetadata] = [] + + for original_dim_ref, dim_col in dim_info: + # Build COALESCE(gg0.col, gg1.col, ...) AS col + coalesce_args: list[ast.Expression] = [ + make_column_ref(dim_col, alias) for alias in cte_aliases + ] + coalesce_func = ast.Function(ast.Name("COALESCE"), args=coalesce_args) + aliased_coalesce = coalesce_func.set_alias(ast.Name(dim_col)) + aliased_coalesce.set_as(True) # Include "AS" in output + projection.append(aliased_coalesce) + + # Get actual type from grain groups, fall back to string if not found + col_type = dim_types.get(original_dim_ref, "string") + + columns_metadata.append( + ColumnMetadata( + name=dim_col, + semantic_name=original_dim_ref, # Preserve original dimension reference + type=col_type, + semantic_type="dimension", + ), + ) + + return projection, columns_metadata + + +def process_base_metrics( + grain_groups: list[GrainGroupSQL], + cte_aliases: list[str], + decomposed_metrics: dict[str, DecomposedMetricInfo], + dimension_aliases: dict[str, str], +) -> BaseMetricsResult: + """ + Process base metrics from grain groups to build expression mappings. + + For each metric in each grain group: + - Non-decomposable metrics (like MAX_BY): use original expression with CTE refs + - Decomposable metrics: build aggregation expression from components + + Args: + grain_groups: List of grain group SQLs + cte_aliases: CTE aliases corresponding to each grain group + decomposed_metrics: Decomposed metric info by metric name + dimension_aliases: Dimension ref -> column alias mapping + + Returns: + BaseMetricsResult with all_metrics, metric_exprs, and component_refs + """ + component_refs: dict[str, ColumnRef] = {} + metric_exprs: dict[str, MetricExprInfo] = {} + + # Collect all metrics in grain groups + all_metrics: set[str] = set() + for gg in grain_groups: + all_metrics.update(gg.metrics) + + # Process base metrics from each grain group + for i, gg in enumerate(grain_groups): + alias = cte_aliases[i] + for metric_name in gg.metrics: + decomposed = decomposed_metrics.get(metric_name) + short_name = get_short_name(metric_name) + + if not decomposed: # pragma: no cover + # No decomposition info at all - skip this metric + continue + + if not decomposed.components: + # Non-decomposable metric (like MAX_BY) - use original expression + # with column references rewritten to point to grain group CTE + expr_ast: ast.Expression = deepcopy(decomposed.combiner_ast) + + # Rewrite column references in the expression to use the CTE alias + # _table must be an ast.Table (not ast.Name) for proper stringification + cte_table = ast.Table(name=ast.Name(alias)) + for col in expr_ast.find_all(ast.Column): # type: ignore + if col.name and not col._table: # type: ignore # pragma: no branch + col._table = cte_table # type: ignore + + metric_exprs[metric_name] = MetricExprInfo( + expr_ast=expr_ast, + short_name=short_name, + cte_alias=alias, + ) + continue + + # Build expression using unified function (handles merged + non-merged) + expr_ast, comp_mappings = build_base_metric_expression( + decomposed, + alias, + gg, + ) + # Convert component mappings to ColumnRef objects + for comp_name, (cte_alias, col_name) in comp_mappings.items(): + component_refs[comp_name] = ColumnRef( + cte_alias=cte_alias, + column_name=col_name, + ) + + # Qualify dimension refs with this grain group's CTE alias + qualified_dim_refs = qualify_dimension_refs(dimension_aliases, alias) + replace_dimension_refs_in_ast(expr_ast, qualified_dim_refs) + metric_exprs[metric_name] = MetricExprInfo( + expr_ast=expr_ast, + short_name=short_name, + cte_alias=alias, + ) + + return BaseMetricsResult( + all_metrics=all_metrics, + metric_exprs=metric_exprs, + component_refs=component_refs, + ) + + +def build_intermediate_metric_expr( + ctx: BuildContext, + metric_name: str, + base_metric_exprs: dict[str, MetricExprInfo], +) -> ast.Expression | None: + """ + Build expression for an intermediate derived metric. + + Intermediate derived metrics (like avg_order_value) reference base metrics + (like total_revenue, order_count). In the base_metrics CTE, we need to + compute these by inlining the actual expressions for each referenced metric. + + For example, if avg_order_value = total_revenue / order_count: + - total_revenue expr: SUM(order_details_0.line_total_sum_e1f61696) + - order_count expr: COUNT(DISTINCT order_details_0.order_id) + - avg_order_value becomes: SUM(...) / NULLIF(COUNT(...), 0) + + We can't just reference column aliases from the same SELECT statement, + so we must inline the full expressions. + + Args: + ctx: Build context with nodes and query cache + metric_name: Name of the intermediate derived metric + base_metric_exprs: Expressions for base metrics (already computed in base_metrics CTE) + + Returns: + Expression AST for the intermediate metric, or None if cannot be built + """ + metric_node = ctx.nodes.get(metric_name) + if not metric_node: + return None # pragma: no cover + + # Get the original query for the intermediate metric + original_query = ctx.get_parsed_query(metric_node) + expr_ast = deepcopy(original_query.select.projection[0]) + + # Unwrap if it's an alias + if isinstance(expr_ast, ast.Alias): + expr_ast = expr_ast.child # pragma: no cover + + # Build a map of metric names to their expression ASTs + # We need to inline the actual expressions, not just column names + metric_exprs: dict[str, ast.Expression] = { + name: deepcopy(info.expr_ast) for name, info in base_metric_exprs.items() + } + + # Replace metric references with their full expressions + # We must walk the AST and replace Column nodes with their expressions + # If any metric reference can't be resolved, return None to defer building + for col in list(expr_ast.find_all(ast.Column)): + full_name = get_column_full_name(col) + if full_name in metric_exprs: + # Replace this column with the metric's expression + replacement_expr = deepcopy(metric_exprs[full_name]) + if col.parent: # pragma: no branch + col.parent.replace(from_=col, to=replacement_expr) + else: + # Check if this is a metric reference that we haven't built yet + node = ctx.nodes.get(full_name) # pragma: no cover + if node and node.type == NodeType.METRIC: # pragma: no cover + # This is a metric reference but it's not in metric_exprs yet + # The dependency hasn't been built, so defer this metric + return None # pragma: no cover + + return expr_ast # type: ignore + + +def build_base_metrics_cte( + dim_info: list[tuple[str, str]], + cte_aliases: list[str], + all_grain_group_metrics: set[str], + metric_expr_asts: dict[str, MetricExprInfo], + intermediate_metrics: set[str] | None = None, + intermediate_exprs: dict[str, ast.Expression] | None = None, +) -> ast.Query: + """ + Build an intermediate CTE that pre-computes all base metrics. + + This CTE is used when there are window function metrics that need to + reference base metric values as columns. + + The CTE structure: + SELECT dim1, dim2, ..., metric1 AS metric1, metric2 AS metric2, ... + FROM gg0 FULL OUTER JOIN gg1 ON ... + GROUP BY dim1, dim2, ... + + Args: + dim_info: List of (original_dim_ref, col_alias) tuples + cte_aliases: CTE aliases for grain groups + all_grain_group_metrics: Set of base metric names + metric_expr_asts: Metric expressions from process_base_metrics + intermediate_metrics: Optional set of intermediate derived metric names + intermediate_exprs: Optional dict of intermediate metric expressions + + Returns: + AST Query for the base_metrics CTE + """ + base_metrics_projection: list[Any] = [] + + # Add dimension columns (COALESCE across grain groups) + for _, dim_col in dim_info: + coalesce_args: list[ast.Expression] = [ + make_column_ref(dim_col, alias) for alias in cte_aliases + ] + coalesce_func = ast.Function(ast.Name("COALESCE"), args=coalesce_args) + aliased = coalesce_func.set_alias(ast.Name(dim_col)) + aliased.set_as(True) + base_metrics_projection.append(aliased) + + # Add base metric expressions (sorted for deterministic ordering) + for base_metric_name in sorted(all_grain_group_metrics): + if base_metric_name not in metric_expr_asts: + continue # pragma: no cover + info = metric_expr_asts[base_metric_name] + aliased_expr = deepcopy(info.expr_ast).set_alias(ast.Name(info.short_name)) + aliased_expr.set_as(True) + base_metrics_projection.append(aliased_expr) + + # Add intermediate derived metrics (for nested derived metrics) + if intermediate_metrics and intermediate_exprs: + for metric_name in sorted(intermediate_metrics): + if metric_name not in intermediate_exprs: + continue # pragma: no cover + expr_ast = intermediate_exprs[metric_name] + short_name = get_short_name(metric_name) + aliased_expr = deepcopy(expr_ast).set_alias(ast.Name(short_name)) + aliased_expr.set_as(True) + base_metrics_projection.append(aliased_expr) + + # Build FROM clause with FULL OUTER JOINs + dim_cols = [dim_col for _, dim_col in dim_info] + table_refs = {name: ast.Table(ast.Name(name)) for name in cte_aliases} + base_metrics_from = build_join_from_clause(cte_aliases, table_refs, dim_cols) + + # Build GROUP BY on dimensions + # Use positional references (1, 2, 3, ...) when there are multiple CTEs joined + # This is necessary for FULL OUTER JOIN where one-sided refs may be NULL + group_by: list[ast.Expression] = [] + if len(cte_aliases) > 1: + # Use positional references for cross-fact JOINs + for pos in range(1, len(dim_info) + 1): + group_by.append(ast.Number(pos)) + else: + # Single CTE - can use qualified column refs + for _, dim_col in dim_info: + group_by.append(make_column_ref(dim_col, cte_aliases[0])) + + return ast.Query( + select=ast.Select( + projection=base_metrics_projection, + from_=base_metrics_from, + group_by=group_by if group_by else [], + ), + ) + + +def rebuild_projection_for_window_metrics( + dim_info: list[tuple[str, str]], + dim_types: dict[str, str], + window_metrics_cte_alias: str, +) -> tuple[list[Any], list[ColumnMetadata]]: + """ + Rebuild dimension projection to reference base_metrics CTE directly. + + When using a base_metrics CTE for window functions, the final SELECT + should reference columns from that CTE instead of COALESCE across + grain group CTEs. + + Args: + dim_info: List of (original_dim_ref, col_alias) tuples + dim_types: Dimension types from grain groups + window_metrics_cte_alias: Alias of the base_metrics CTE + + Returns: + Tuple of (projection, columns_metadata) + """ + projection: list[Any] = [] + columns_metadata: list[ColumnMetadata] = [] + + for original_dim_ref, dim_col in dim_info: + col_ref = make_column_ref(dim_col, window_metrics_cte_alias) + aliased = col_ref.set_alias(ast.Name(dim_col)) + aliased.set_as(True) + projection.append(aliased) + + col_type = dim_types.get(original_dim_ref, "string") + columns_metadata.append( + ColumnMetadata( + name=dim_col, + semantic_name=original_dim_ref, + type=col_type, + semantic_type="dimension", + ), + ) + + return projection, columns_metadata + + +# def build_from_clause( +# dim_col_aliases: list[str], +# cte_aliases: list[str], +# window_metrics_cte_alias: Optional[str], +# grain_groups: list[GrainGroupSQL], +# ) -> tuple[ast.From, list[ast.Expression]]: +# """ +# Build FROM clause and GROUP BY for the final SELECT. + +# For window function metrics, references base_metrics CTE directly without GROUP BY. +# For standard metrics, builds FULL OUTER JOINs between grain group CTEs with GROUP BY. + +# Args: +# dim_col_aliases: List of dimension column aliases for joins +# cte_aliases: List of grain group CTE aliases +# window_metrics_cte_alias: Alias of base_metrics CTE (None if no window metrics) +# grain_groups: Grain groups (for validation error message) + +# Returns: +# Tuple of (from_clause, group_by) + +# Raises: +# DJInvalidInputException: If cross-fact metrics have no shared dimensions +# """ +# # Validate: cross-fact metrics require at least one shared dimension to join on +# # Without shared dimensions, the join would be a CROSS JOIN which produces +# # semantically meaningless results (dividing unrelated populations) +# if ( +# len(cte_aliases) > 1 and not dim_col_aliases +# ): # pragma: no cover # TODO: add coverage +# parent_names = [gg.parent_name for gg in grain_groups] +# raise DJInvalidInputException( +# f"Cross-fact metrics from different parent nodes ({', '.join(parent_names)}) " +# f"require at least one shared dimension to join on. ", +# ) + +# # For window function metrics, the final SELECT references the base_metrics CTE +# # (which has pre-computed base metrics) without GROUP BY +# if window_metrics_cte_alias: +# from_clause = ast.From( +# relations=[ +# ast.Relation( +# primary=ast.Table(ast.Name(window_metrics_cte_alias)), +# ), +# ], +# ) +# # No GROUP BY for window function queries - they need all rows +# return from_clause, [] + +# # Build FROM clause with FULL OUTER JOINs between grain group CTEs +# table_refs = {name: ast.Table(ast.Name(name)) for name in cte_aliases} +# from_clause = build_join_from_clause(cte_aliases, table_refs, dim_col_aliases) + +# # Add GROUP BY on requested dimensions +# # Metrics SQL re-aggregates components to produce final metric values: +# # - If CTE is at requested grain: re-aggregation is a no-op (SUM of one = that one) +# # - If CTE is at finer grain: re-aggregation does actual work +# group_by: list[ast.Expression] = [] +# if dim_col_aliases: # pragma: no branch +# group_by.extend( +# [make_column_ref(dim_col, cte_aliases[0]) for dim_col in dim_col_aliases], +# ) + +# return from_clause, group_by + + +def build_metric_projection( + ctx: BuildContext, + metric_expr_asts: dict[str, MetricExprInfo], +) -> tuple[list[Any], list[ColumnMetadata]]: + """ + Build metric projection items in requested order. + + Args: + ctx: Build context with metrics list and nodes + metric_expr_asts: Dict of metric name -> MetricExprInfo + + Returns: + Tuple of (projection_items, columns_metadata) for metrics + """ + projection_items: list[Any] = [] + columns_metadata: list[ColumnMetadata] = [] + + for metric_name in ctx.metrics: + if metric_name not in metric_expr_asts: # pragma: no cover + continue + + info = metric_expr_asts[metric_name] + aliased_expr = info.expr_ast.set_alias(ast.Name(info.short_name)) # type: ignore + aliased_expr.set_as(True) + projection_items.append(aliased_expr) + + # Get metric output type (metrics have exactly one output column) + metric_node = ctx.nodes[metric_name] + metric_type = str(metric_node.current.columns[0].type) + columns_metadata.append( + ColumnMetadata( + name=info.short_name, + semantic_name=metric_name, + type=metric_type, + semantic_type="metric", + ), + ) + + return projection_items, columns_metadata + + +def build_window_metric_expr( + ctx: BuildContext, + metric_name: str, + base_metric_names: set[str], + resolver: ColumnResolver, + partition_columns: list[str], + window_cte_alias: str, + intermediate_metric_names: set[str] | None = None, + alias_to_dimension_node: dict[str, str] | None = None, +) -> ast.Expression: + """ + Build expression AST for a window function metric. + + Window function metrics (LAG, LEAD, etc.) need special handling: + - Use the ORIGINAL metric query AST (not decomposed combiner_ast) + - Reference base_metrics CTE columns for metric values + - Inject PARTITION BY clauses + + Args: + ctx: Build context with nodes + metric_name: Name of the window metric + base_metric_names: Set of base metric names (for building refs) + resolver: ColumnResolver (for dimension refs) + partition_columns: Column names for PARTITION BY injection + window_cte_alias: Alias of base_metrics CTE + intermediate_metric_names: Optional set of intermediate derived metric names + + Returns: + Expression AST with refs resolved and PARTITION BY injected + """ + # Use the ORIGINAL metric query AST (not decomposed) + # The decomposed combiner_ast has metric refs expanded to component expressions, + # but we need the metric refs preserved so we can reference base_metrics columns + metric_node = ctx.nodes[metric_name] + original_query = ctx.get_parsed_query(metric_node) + expr_ast = deepcopy(original_query.select.projection[0]) + if isinstance(expr_ast, ast.Alias): + expr_ast = expr_ast.child # pragma: no cover + + # Build refs pointing to window CTE for all base metrics + window_metric_refs: dict[str, tuple[str, str]] = { + name: (window_cte_alias, get_short_name(name)) for name in base_metric_names + } + + # Also include intermediate derived metrics (for nested derived metrics) + if intermediate_metric_names: + for name in intermediate_metric_names: # pragma: no cover + window_metric_refs[name] = (window_cte_alias, get_short_name(name)) + replace_metric_refs_in_ast(expr_ast, window_metric_refs) + + # Dimension refs also point to window CTE + window_dim_refs: dict[str, tuple[str, str]] = { + name: (window_cte_alias, ref.column_name) + for name, ref in resolver.get_by_type(ColumnType.DIMENSION).items() + } + replace_dimension_refs_in_ast(expr_ast, window_dim_refs) + + # Inject PARTITION BY for window functions + # Qualify with CTE alias to avoid ambiguity when there are JOINs + inject_partition_by_into_windows( + expr_ast, + partition_columns, + alias_to_dimension_node, + partition_cte_alias=window_cte_alias, + ) + + return expr_ast # type: ignore + + +def build_derived_metric_expr( + decomposed: DecomposedMetricInfo, + resolver: ColumnResolver, + partition_columns: list[str], + alias_to_dimension_node: dict[str, str] | None = None, +) -> ast.Expression: + """ + Build expression AST for a non-window derived metric. + + Non-window derived metrics use the decomposed combiner_ast with + refs resolved via the ColumnResolver. + + Args: + decomposed: Decomposed metric info with combiner_ast + resolver: ColumnResolver with metric, component, and dimension refs + partition_columns: Column names for PARTITION BY injection + + Returns: + Expression AST with refs resolved and PARTITION BY injected + """ + # Use the shared helper to ensure consistency with cube materialization + return process_metric_combiner_expression( + combiner_ast=decomposed.combiner_ast, + dimension_refs=resolver.dimension_refs(), + component_refs=resolver.component_refs(), + metric_refs=resolver.metric_refs(), + partition_dimensions=partition_columns, + alias_to_dimension_node=alias_to_dimension_node, + ) + + +def process_derived_metrics( + ctx: BuildContext, + decomposed_metrics: dict[str, DecomposedMetricInfo], + base_metric_names: set[str], + resolver: ColumnResolver, + partition_columns: list[str], + window_cte_alias: str | None, + intermediate_metric_names: set[str] | None = None, + alias_to_dimension_node: dict[str, str] | None = None, +) -> dict[str, MetricExprInfo]: + """ + Process derived metrics (metrics not in any grain group). + + Derived metrics are computed from base metrics and may include: + - Window function metrics (LAG, LEAD, etc.) that reference base_metrics CTE + - Non-window derived metrics that reference other metric columns + + Args: + ctx: Build context with metrics list and nodes + decomposed_metrics: Decomposed metric info + base_metric_names: Set of base metric names (in grain groups) + resolver: ColumnResolver with metric, component, and dimension refs + partition_columns: Column names for PARTITION BY injection + window_cte_alias: Alias of base_metrics CTE ("base_metrics" or None) + intermediate_metric_names: Optional set of intermediate derived metric names + + Returns: + Dict of derived metric expressions + """ + result: dict[str, MetricExprInfo] = {} + + # Identify which derived metrics use window functions + window_metrics: set[str] = set() + for metric_name in ctx.metrics: + if metric_name in base_metric_names: + continue + decomposed = decomposed_metrics.get(metric_name) + if decomposed and has_window_function(decomposed.combiner_ast): + window_metrics.add(metric_name) + + # Get default CTE alias from resolver (for non-window path) + metric_refs = resolver.metric_refs() + default_cte_alias = next(iter(metric_refs.values()))[0] if metric_refs else "" + + for metric_name in ctx.metrics: + if metric_name in base_metric_names: + continue + + decomposed = decomposed_metrics.get(metric_name) + if not decomposed: # pragma: no cover + continue + + short_name = get_short_name(metric_name) + + # Handle window function metrics specially + if metric_name in window_metrics and window_cte_alias: + expr_ast = build_window_metric_expr( + ctx, + metric_name, + base_metric_names, + resolver, + partition_columns, + window_cte_alias, + intermediate_metric_names, + alias_to_dimension_node, + ) + derived_cte_alias = window_cte_alias + else: + expr_ast = build_derived_metric_expr( + decomposed, + resolver, + partition_columns, + alias_to_dimension_node, + ) + derived_cte_alias = default_cte_alias + + result[metric_name] = MetricExprInfo( + expr_ast=expr_ast, + short_name=short_name, + cte_alias=derived_cte_alias, + ) + + return result + + +# def strip_role_suffix(ref: str) -> str: +# """ +# Strip role suffix like [order], [filter] from a dimension reference. + +# For example: +# "v3.date.week[order]" -> "v3.date.week" +# "v3.date.month" -> "v3.date.month" + +# Role suffixes are DJ-specific syntax, not part of actual column names. +# """ +# if "[" in ref: # pragma: no cover +# return ref.split("[")[0] +# return ref + + +@dataclass +class GrainLevelInfo: + """Information about a grain level for window function processing.""" + + dimension_node: str # The dimension node (e.g., "common.dimensions.time.date") + order_by_alias: str # The ORDER BY column alias (e.g., "week_code") + order_by_ref: ( + str # Full dimension ref (e.g., "common.dimensions.time.date.week_code") + ) + cte_alias: str # The CTE alias (e.g., "weekly_metrics") + group_by_dims: list[str] # Dimensions to GROUP BY at this grain + join_dims: list[str] # Dimensions to JOIN on back to base_metrics + window_metrics: set[str] # Window metrics that use this grain + + +def build_window_agg_cte_from_grain_group( + window_grain_group: GrainGroupSQL, + base_grain_group: GrainGroupSQL, + source_cte_alias: str, + ctx: BuildContext, + decomposed_metrics: dict[str, DecomposedMetricInfo], +) -> ast.Query: + """ + Build an aggregation CTE that computes base metrics from a grain group. + + This reaggregates from a base grain group (e.g., daily) to the coarser + window metric grain (e.g., weekly). Handles both: + - Base metrics: applies combiner expression with component references + - Derived metrics: expands metric references to underlying component expressions + + Args: + window_grain_group: A grain group marked as is_window_grain_group=True + base_grain_group: The base grain group (source of component columns) + source_cte_alias: Alias of the base grain group CTE to SELECT from + ctx: Build context + decomposed_metrics: Decomposed metric info + + Returns: + AST Query that aggregates components into metrics + """ + projection: list[Any] = [] + group_by: list[ast.Expression] = [] + + # Collect dimension columns from the grain group (these are GROUP BY columns) + dim_columns: list[str] = [] + for col in window_grain_group.columns: + if col.semantic_type == "dimension": + dim_columns.append(col.name) + col_ref = make_column_ref(col.name, source_cte_alias) + aliased = col_ref.set_alias(ast.Name(col.name)) + aliased.set_as(True) + projection.append(aliased) + group_by.append(make_column_ref(col.name, source_cte_alias)) + + # Find the base metrics that the window metrics reference + base_metrics_needed: set[str] = set() + for window_metric_name in window_grain_group.window_metrics_served: + parent_names = ctx.parent_map.get(window_metric_name, []) + for parent_name in parent_names: + parent_node = ctx.nodes.get(parent_name) + if parent_node and parent_node.type == NodeType.METRIC: # pragma: no branch + base_metrics_needed.add(parent_name) + + def is_derived_metric(metric_name: str) -> bool: + """Check if a metric is derived (has metric parents, no direct components).""" + decomposed = decomposed_metrics.get(metric_name) + if not decomposed or not isinstance(decomposed, DecomposedMetricInfo): + return False # pragma: no cover + # Derived metrics have parent metrics but no direct components in grain groups + parent_metrics = ctx.parent_map.get(metric_name, []) + has_metric_parents = any( + ctx.nodes.get(p) and ctx.nodes.get(p).type == NodeType.METRIC # type: ignore + for p in parent_metrics + ) + return has_metric_parents and not decomposed.components + + def get_metric_aggregation_expr( + metric_name: str, + visited: set[str], + ) -> Optional[ast.Expression]: + """ + Build aggregation expression for a metric that can be computed from + component columns in the source CTE. + + For base metrics: returns combiner expression with component refs replaced + For derived metrics: recursively expands metric references + """ + if metric_name in visited: + return None # pragma: no cover + visited.add(metric_name) + + decomposed = decomposed_metrics.get(metric_name) + if not decomposed: + return None # pragma: no cover + + combiner_ast = deepcopy(decomposed.combiner_ast) + if isinstance(combiner_ast, ast.Alias): + combiner_ast = combiner_ast.child # pragma: no cover + + if is_derived_metric(metric_name): # pragma: no cover + # Derived metric: need to expand metric references + # Find column nodes that reference other metrics + for col_node in list(combiner_ast.find_all(ast.Column)): + col_name = ( + col_node.identifier() if hasattr(col_node, "identifier") else "" + ) + # Check if this column references a metric + short_col_name = col_name.split(".")[-1] if col_name else "" + + # Try to find matching metric + parent_metric_name = None + for parent_name in ctx.parent_map.get(metric_name, []): + parent_short = get_short_name(parent_name) + if parent_short == short_col_name or col_name.endswith(parent_name): + parent_metric_name = parent_name + break + + if parent_metric_name: + # Replace with parent metric's aggregation expression + parent_expr = get_metric_aggregation_expr( + parent_metric_name, + visited.copy(), + ) + if parent_expr: + # Swap the column node with the parent's expression + col_node.swap(parent_expr) + else: + # Base metric: replace component references with CTE column refs + # Use base_grain_group's component_aliases since that's the source CTE + for col_node in combiner_ast.find_all(ast.Column): + col_full_name = ( + col_node.identifier() if hasattr(col_node, "identifier") else "" + ) + # Check if this matches a component alias + for ( + comp_name, + comp_alias, + ) in base_grain_group.component_aliases.items(): # pragma: no branch + if col_full_name == comp_name or col_full_name.endswith(comp_alias): + col_node.name = ast.Name(comp_alias) + col_node._table = ast.Table(ast.Name(source_cte_alias)) + break + + return combiner_ast + + # Build aggregation expressions for each base metric + for base_metric_name in sorted(base_metrics_needed): + decomposed = decomposed_metrics.get(base_metric_name) + if not decomposed: + continue # pragma: no cover + + # Get aggregation expression (handles both base and derived metrics) + combiner_ast = get_metric_aggregation_expr(base_metric_name, set()) + if not combiner_ast: + continue # pragma: no cover + + short_name = get_short_name(base_metric_name) + aliased = combiner_ast.set_alias(ast.Name(short_name)) # type: ignore + aliased.set_as(True) + projection.append(aliased) + + # Build FROM clause + from_clause = ast.From( + relations=[ + ast.Relation(primary=ast.Table(ast.Name(source_cte_alias))), + ], + ) + + return ast.Query( + select=ast.Select( + projection=projection, + from_=from_clause, + group_by=group_by if group_by else [], + ), + ) + + +def build_window_agg_cte_from_base_metrics( + window_grain_group: GrainGroupSQL, + base_metrics_cte_alias: str, + ctx: BuildContext, + decomposed_metrics: dict[str, DecomposedMetricInfo], +) -> ast.Query: + """ + Build an aggregation CTE from the base_metrics CTE for cross-fact window metrics. + + For cross-fact window metrics (metrics that reference base metrics from multiple + parent facts), we need to reaggregate from base_metrics (which already has the + FULL OUTER JOIN done) rather than from individual grain group CTEs. + + The key difference from build_window_agg_cte_from_grain_group: + - Source is base_metrics CTE, not a specific grain group CTE + - Metrics are referenced by their column names (e.g., total_thumb_ups), + not by component aliases + - Dimension columns come from base_metrics directly + + Args: + window_grain_group: Window grain group with metadata (dimensions, metrics served) + base_metrics_cte_alias: Alias of the base_metrics CTE (typically "base_metrics") + ctx: Build context + decomposed_metrics: Decomposed metric info + + Returns: + AST Query that reaggregates from base_metrics to the window grain + """ + projection: list[Any] = [] + group_by: list[ast.Expression] = [] + + # Collect dimension columns from the grain group (these are GROUP BY columns) + # Use base_metrics as the source + for col in window_grain_group.columns: + if col.semantic_type == "dimension": # pragma: no branch + col_ref = make_column_ref(col.name, base_metrics_cte_alias) + aliased = col_ref.set_alias(ast.Name(col.name)) + aliased.set_as(True) + projection.append(aliased) + group_by.append(make_column_ref(col.name, base_metrics_cte_alias)) + + # Find the base metrics that the window metrics reference + base_metrics_needed: set[str] = set() + for window_metric_name in window_grain_group.window_metrics_served: + parent_names = ctx.parent_map.get(window_metric_name, []) + for parent_name in parent_names: + parent_node = ctx.nodes.get(parent_name) + if parent_node and parent_node.type == NodeType.METRIC: # pragma: no branch + base_metrics_needed.add(parent_name) + + # Build reaggregation expressions for each base metric + # Since we're selecting from base_metrics, we reference the metric columns directly + for base_metric_name in sorted(base_metrics_needed): + decomposed = decomposed_metrics.get(base_metric_name) + if not decomposed: + continue # pragma: no cover + + short_name = get_short_name(base_metric_name) + + # For non-additive metrics (COUNT DISTINCT), we need COUNT(DISTINCT grain_col) + # For additive metrics, we can SUM/AVG the pre-computed column + if decomposed.aggregability == Aggregability.LIMITED: + # LIMITED: needs COUNT DISTINCT at this grain + # Find the grain column for COUNT DISTINCT + if decomposed.components and decomposed.components[0].rule.level: + grain_col = decomposed.components[0].rule.level[0] + # The grain column is in base_metrics as a dimension column + # Actually, for COUNT DISTINCT, the raw grain column should be in + # the base grain group, not base_metrics. We need to reference + # the original grain column from base_metrics. + # For now, use the metric column - this works because base_metrics + # computes COUNT DISTINCT at the fine grain, and we re-compute at coarser grain + col_ref = make_column_ref(grain_col, base_metrics_cte_alias) + agg_expr = ast.Function( + ast.Name("COUNT"), + args=[col_ref], + quantifier=ast.SetQuantifier.Distinct, + ) + else: # pragma: no cover + # Fallback: SUM the metric column + col_ref = make_column_ref(short_name, base_metrics_cte_alias) + agg_expr = ast.Function(ast.Name("SUM"), args=[col_ref]) + elif decomposed.aggregability == Aggregability.FULL: # pragma: no cover + # FULL: additive metric, use SUM + col_ref = make_column_ref(short_name, base_metrics_cte_alias) + agg_expr = ast.Function(ast.Name("SUM"), args=[col_ref]) + elif decomposed.aggregability == Aggregability.NONE: # pragma: no cover + # NONE: non-additive (like AVG), need to recompute + # For AVG, we need the raw sum and count, but those are in components + # For now, just use the column directly (window function will handle it) + col_ref = make_column_ref(short_name, base_metrics_cte_alias) + agg_expr = col_ref # type: ignore + else: # pragma: no cover + # Default: SUM + col_ref = make_column_ref(short_name, base_metrics_cte_alias) + agg_expr = ast.Function(ast.Name("SUM"), args=[col_ref]) + + aliased = agg_expr.set_alias(ast.Name(short_name)) # type: ignore + aliased.set_as(True) + projection.append(aliased) + + # Build FROM clause - just base_metrics + from_clause = ast.From( + relations=[ + ast.Relation(primary=ast.Table(ast.Name(base_metrics_cte_alias))), + ], + ) + + return ast.Query( + select=ast.Select( + projection=projection, + from_=from_clause, + group_by=group_by if group_by else [], + ), + ) + + +def build_window_cte_from_grain_group( + window_grain_group: GrainGroupSQL, + source_cte_alias: str, + ctx: BuildContext, + decomposed_metrics: dict[str, DecomposedMetricInfo], + alias_to_dimension_node: dict[str, str], +) -> ast.Query: + """ + Build a CTE that applies window functions from a window grain group. + + The source CTE should have aggregated metrics (from build_window_agg_cte_from_grain_group). + This function creates a CTE that: + 1. SELECTs all dimension columns from the source + 2. Applies window function expressions for each window metric + 3. No GROUP BY (data is already at correct grain) + + Args: + window_grain_group: A grain group marked as is_window_grain_group=True + source_cte_alias: Alias of the aggregation CTE to SELECT from + ctx: Build context + decomposed_metrics: Decomposed metric info + alias_to_dimension_node: Mapping for PARTITION BY logic + + Returns: + AST Query that applies window functions + """ + projection: list[Any] = [] + + # Collect dimension columns from the grain group + # The source CTE (agg CTE) has the same dimension columns + dim_columns: list[str] = [] + for col in window_grain_group.columns: + if col.semantic_type == "dimension": + dim_columns.append(col.name) + col_ref = make_column_ref(col.name, source_cte_alias) + aliased = col_ref.set_alias(ast.Name(col.name)) + aliased.set_as(True) + projection.append(aliased) + + # Note: We don't pass through base metric columns here since the window + # expressions will reference them directly. The agg CTE has the aggregated + # metrics (order_count, total_revenue) which window functions will use. + + # Build partition columns for PARTITION BY injection + # Exclude the ORDER BY dimension from PARTITION BY + order_by_dim = window_grain_group.window_order_by_dim + order_by_alias = None + if order_by_dim: # pragma: no branch + # Extract just the column alias from the full dimension ref + order_by_alias = get_short_name(order_by_dim.split("[")[0]) # Strip role suffix + + # Get the dimension node for the ORDER BY alias (used for filtering) + order_by_dim_node = ( + alias_to_dimension_node.get(order_by_alias) if order_by_alias else None + ) + partition_cols = [ + dim + for dim in dim_columns + if dim != order_by_alias + and alias_to_dimension_node.get(dim) != order_by_dim_node + ] + + # Apply window function expressions for each window metric + for window_metric_name in window_grain_group.window_metrics_served: + decomposed = decomposed_metrics.get(window_metric_name) + if not decomposed: + continue # pragma: no cover + + metric_node = ctx.nodes.get(window_metric_name) + if not metric_node: + continue # pragma: no cover + + # Get the original window expression from the metric definition + original_query = ctx.get_parsed_query(metric_node) + expr_ast = deepcopy(original_query.select.projection[0]) + if isinstance(expr_ast, ast.Alias): + expr_ast = expr_ast.child # pragma: no cover + + # Replace metric references with column refs to the source CTE + for col_node in expr_ast.find_all(ast.Column): + col_full_name = ( + col_node.identifier() if hasattr(col_node, "identifier") else "" + ) + if ( + col_full_name in ctx.nodes + and ctx.nodes[col_full_name].type == NodeType.METRIC + ): + short_name = get_short_name(col_full_name) + col_node.name = ast.Name(short_name) + col_node._table = ast.Table(ast.Name(source_cte_alias)) + + # Replace dimension references + for col_node in expr_ast.find_all(ast.Column): + col_full_name = ( + col_node.identifier() if hasattr(col_node, "identifier") else "" + ) + for gg_col in window_grain_group.columns: + if gg_col.semantic_type == "dimension": + if col_full_name == gg_col.semantic_name or col_full_name.endswith( + "." + gg_col.name, + ): + col_node.name = ast.Name(gg_col.name) + col_node._table = ast.Table(ast.Name(source_cte_alias)) + break + + # Unwrap Subscript expressions in ORDER BY clauses (role suffix handling) + for func in expr_ast.find_all(ast.Function): + if func.over and func.over.order_by: + for sort_item in func.over.order_by: + if isinstance(sort_item.expr, ast.Subscript): + sort_item.expr = sort_item.expr.expr + + # Inject PARTITION BY + # Qualify with source CTE alias to avoid ambiguity + inject_partition_by_into_windows( + expr_ast, + partition_cols, + alias_to_dimension_node, + partition_cte_alias=source_cte_alias, + ) + + short_name = get_short_name(window_metric_name) + aliased = expr_ast.set_alias(ast.Name(short_name)) # type: ignore + aliased.set_as(True) + projection.append(aliased) + + # Build FROM clause + from_clause = ast.From( + relations=[ + ast.Relation(primary=ast.Table(ast.Name(source_cte_alias))), + ], + ) + + return ast.Query( + select=ast.Select( + projection=projection, + from_=from_clause, + ), + ) + + +def build_from_clause_with_grain_joins( + dim_col_aliases: list[str], + cte_aliases: list[str], + window_metrics_cte_alias: str | None, + grain_groups: list[GrainGroupSQL], + grain_levels: dict[str, GrainLevelInfo], +) -> tuple[ast.From, list[ast.Expression]]: + """ + Build FROM clause with JOINs for grain-level window CTEs. + + When window metrics operate at different grains than the requested dimensions, + we need to JOIN the grain-level window CTEs back to the base_metrics CTE. + + For example, if requesting daily grain with WoW metrics: + - base_metrics is at daily grain + - weekly_metrics has the WoW calculations at weekly grain + - Final SELECT joins them: base_metrics LEFT JOIN weekly_metrics ON (join_dims) + + Args: + dim_col_aliases: List of dimension column aliases + cte_aliases: List of grain group CTE aliases + window_metrics_cte_alias: Alias of base_metrics CTE (or None) + grain_groups: Grain groups (for validation) + grain_levels: Grain level info for window metrics + + Returns: + Tuple of (from_clause, group_by) + """ + # Validate: cross-fact metrics require shared dimensions + if len(cte_aliases) > 1 and not dim_col_aliases: + parent_names = [gg.parent_name for gg in grain_groups] + raise DJInvalidInputException( + f"Cross-fact metrics from different parent nodes ({', '.join(parent_names)}) " + f"require at least one shared dimension to join on. ", + ) + + # If no window metrics, use the standard FROM clause with grain group CTEs + if not window_metrics_cte_alias: + # Build FROM clause with FULL OUTER JOINs between grain group CTEs + table_refs = {name: ast.Table(ast.Name(name)) for name in cte_aliases} + from_clause = build_join_from_clause(cte_aliases, table_refs, dim_col_aliases) + + # Add GROUP BY on requested dimensions + group_by: list[ast.Expression] = [] + if dim_col_aliases: # pragma: no branch + group_by.extend( + [ + make_column_ref(dim_col, cte_aliases[0]) + for dim_col in dim_col_aliases + ], + ) + return from_clause, group_by + + # Build FROM clause starting with base_metrics + base_table = ast.Table(ast.Name(window_metrics_cte_alias)) + relations: list[ast.Relation] = [ast.Relation(primary=base_table)] + + # Add LEFT JOINs for each grain-level window CTE + for dim_node, grain_info in grain_levels.items(): + window_cte_table = ast.Table(ast.Name(grain_info.cte_alias)) + + # Build JOIN condition on the join dimensions + join_conditions: list[ast.Expression] = [] + for dim_alias in grain_info.join_dims: + left_col = make_column_ref(dim_alias, window_metrics_cte_alias) + right_col = make_column_ref(dim_alias, grain_info.cte_alias) + condition = ast.BinaryOp( + left=left_col, + right=right_col, + op=ast.BinaryOpKind.Eq, + ) + join_conditions.append(condition) + + # Combine conditions with AND + if join_conditions: # pragma: no branch + join_condition = join_conditions[0] + for cond in join_conditions[1:]: + join_condition = ast.BinaryOp( + left=join_condition, + right=cond, + op=ast.BinaryOpKind.And, + ) + + # Add the JOIN + join = ast.Join( + join_type="LEFT OUTER", + right=window_cte_table, + criteria=ast.JoinCriteria(on=join_condition), + ) + relations[0].extensions.append(join) + + from_clause = ast.From(relations=relations) + + # No GROUP BY for window function queries - the data is already at the right grain + return from_clause, [] + + +def generate_metrics_sql( + ctx: BuildContext, + measures_result: GeneratedMeasuresSQL, + decomposed_metrics: dict[str, DecomposedMetricInfo], +) -> GeneratedSQL: + """ + Generate the final metrics SQL query. + + The takes grain groups (pre-aggregated data at specific grains) and + combines them with metric combiner expressions to produce final SQL. + + Works entirely with AST objects - no string parsing needed. + Returns a GeneratedSQL with the query as an AST. + """ + grain_groups = measures_result.grain_groups + dimensions = measures_result.requested_dimensions + + # Split grain groups into base (user-requested grain) vs window (coarser grains) + # Window grain groups were created by build_window_metric_grain_groups() in measures phase + base_grain_groups = [gg for gg in grain_groups if not gg.is_window_grain_group] + window_grain_groups = [gg for gg in grain_groups if gg.is_window_grain_group] + + # Convert base grain groups to CTEs (window grain groups handled separately) + all_cte_asts, cte_aliases = collect_and_build_ctes(base_grain_groups) + + # Build dimension info and projection + dim_types = get_dimension_types(grain_groups) + dim_info = parse_dimension_refs(ctx, dimensions) + dimension_aliases = build_dimension_alias_map(dim_info) + # Build mapping from alias to dimension node for window function PARTITION BY logic + # Use ALL dimensions from grain groups (not just user-requested dim_info) to ensure + # we correctly group columns like (date_id, week, month) under the same dimension node. + # This is critical for period-over-period metrics where e.g., WoW ordering by week + # needs to exclude other columns from v3.date (like month, date_id) from PARTITION BY. + all_grain_group_dim_info = extract_dim_info_from_grain_groups(grain_groups) + alias_to_dimension_node = build_alias_to_dimension_node(all_grain_group_dim_info) + projection, columns_metadata = build_dimension_projection( + dim_info, + cte_aliases, + dim_types, + ) + + # Process base metrics from base grain groups only + # Window grain groups are handled separately after the base_metrics CTE + base_metrics_result = process_base_metrics( + base_grain_groups, + cte_aliases, + decomposed_metrics, + dimension_aliases, + ) + + # Use cleaner names for the result fields + all_grain_group_metrics = base_metrics_result.all_metrics + metric_expr_asts = base_metrics_result.metric_exprs + + # Process derived metrics (not base metrics in any grain group) + # Get unique dimension aliases for PARTITION BY injection + # Use unique values to avoid duplicates when multiple refs map to same alias + all_dim_aliases = list(dict.fromkeys(dimension_aliases.values())) + + # Track window metrics and their CTEs + window_metrics_cte_alias: str | None = None + grain_window_ctes: dict[str, str] = {} # metric_name -> window CTE alias + all_derived_for_base_metrics: set[str] = set() + grain_levels: dict[str, GrainLevelInfo] = {} # For FROM clause building + + # Collect ALL window metrics - both from grain groups AND reaggregation metrics AND same-grain metrics + # - Window grain groups: created for non-subset cases + # - Same-grain metrics: when dimensions exactly match, tracked in window_metric_grains + # - Aggregate window metrics: metrics with SUM/AVG/etc OVER (like trailing metrics) + window_metrics: set[str] = set() + for wgg in window_grain_groups: + window_metrics.update(wgg.window_metrics_served) + # Also include same-grain window metrics (exact match case) + window_metrics.update(measures_result.window_metric_grains.keys()) + # Also include aggregate window metrics (like trailing metrics with SUM OVER ORDER BY) + # These aren't LAG/LEAD so they weren't detected in measures phase, but they DO need + # the base_metrics CTE to resolve their metric references + for metric_name in ctx.metrics: + if metric_name in all_grain_group_metrics: + continue # Base metric + if metric_name in window_metrics: + continue # Already detected + decomposed = decomposed_metrics.get(metric_name) + if decomposed and has_window_function(decomposed.combiner_ast): + window_metrics.add(metric_name) + + # If there are ANY window metrics, build the base_metrics CTE + # (either for joining with window grain groups, or for same-grain window functions) + if window_metrics: + window_metrics_cte_alias = "base_metrics" + + # Find non-window derived metrics to pre-compute in base_metrics CTE + for metric_name in ctx.metrics: + if metric_name in all_grain_group_metrics: + continue # Base metric + if metric_name in window_metrics: + continue # Window metric (handled separately) + all_derived_for_base_metrics.add(metric_name) # pragma: no cover + + # Also include parent derived metrics that window metrics depend on + # For example, if wow_aov_change depends on avg_order_value, we need to + # compute avg_order_value in base_metrics before applying the window function + # + # IMPORTANT: We must recursively collect ALL derived metric dependencies. + # For example, if efficiency_ratio = avg_order_value / pages_per_session, + # we need to collect avg_order_value and pages_per_session too. + def collect_derived_dependencies(metric_name: str, visited: set[str]) -> None: + """Recursively collect all derived metric dependencies.""" + if metric_name in visited: + return # pragma: no cover + visited.add(metric_name) + + parent_names = ctx.parent_map.get(metric_name, []) + for parent_name in parent_names: + # Skip if it's a base metric (already in grain groups) + if parent_name in all_grain_group_metrics: + continue + # Skip if it's another window metric + if parent_name in window_metrics: + continue # pragma: no cover + # Check if it's a derived metric + parent_node = ctx.nodes.get(parent_name) + if ( + parent_node and parent_node.type == NodeType.METRIC + ): # pragma: no branch + all_derived_for_base_metrics.add(parent_name) + # Recursively collect this metric's dependencies + collect_derived_dependencies(parent_name, visited) + + for window_metric_name in window_metrics: + collect_derived_dependencies(window_metric_name, set()) + + # Build expressions for derived metrics in dependency order + # We need to process metrics that depend only on base metrics first, + # then metrics that depend on those, etc. + all_derived_exprs: dict[str, ast.Expression] = {} + + # Create a combined dict of base metric expressions + already-built derived exprs + # This gets updated as we build each level + available_exprs: dict[str, MetricExprInfo] = dict(metric_expr_asts) + + # Keep building until all derived metrics are processed + remaining = set(all_derived_for_base_metrics) + max_iterations = len(remaining) + 1 # Prevent infinite loops + iteration = 0 + + while remaining and iteration < max_iterations: + iteration += 1 + built_this_round: set[str] = set() + + for metric_name in list(remaining): + expr = build_intermediate_metric_expr(ctx, metric_name, available_exprs) + if expr: # pragma: no branch + all_derived_exprs[metric_name] = expr + # Add to available_exprs for next level of derived metrics + short_name = get_short_name(metric_name) + available_exprs[metric_name] = MetricExprInfo( + expr_ast=expr, + short_name=short_name, + cte_alias="", # Not used for intermediate building + ) + built_this_round.add(metric_name) + + remaining -= built_this_round + if not built_this_round: + # No progress made - remaining metrics have unresolvable dependencies + break # pragma: no cover + + # Build and add the base_metrics CTE + base_metrics_query = build_base_metrics_cte( + dim_info, + cte_aliases, + all_grain_group_metrics, + metric_expr_asts, + all_derived_for_base_metrics, + all_derived_exprs, + ) + base_metrics_query.to_cte(ast.Name(window_metrics_cte_alias), None) + all_cte_asts.append(base_metrics_query) + + # Rewrite base metric expressions to reference base_metrics CTE + for metric_name in all_grain_group_metrics: + if metric_name in metric_expr_asts: # pragma: no branch + info = metric_expr_asts[metric_name] + simple_ref = make_column_ref(info.short_name, window_metrics_cte_alias) + metric_expr_asts[metric_name] = MetricExprInfo( + expr_ast=simple_ref, + short_name=info.short_name, + cte_alias=window_metrics_cte_alias, + ) + + # Rewrite non-window derived metrics to reference base_metrics CTE + for metric_name in all_derived_for_base_metrics: + short_name = get_short_name(metric_name) + simple_ref = make_column_ref(short_name, window_metrics_cte_alias) + metric_expr_asts[metric_name] = MetricExprInfo( + expr_ast=simple_ref, + short_name=short_name, + cte_alias=window_metrics_cte_alias, + ) + + # Rebuild projection for window metrics path + projection, columns_metadata = rebuild_projection_for_window_metrics( + dim_info, + dim_types, + window_metrics_cte_alias, + ) + + # Process each window grain group from measures phase + # Window grain groups define the coarser grain for LAG/LEAD metrics (e.g., weekly for WoW) + # We REAGGREGATE from the base grain group CTE, not from source tables + # This is more efficient and enables pre-agg matching at the base grain + for idx, wgg in enumerate(window_grain_groups): + # Get the ORDER BY dimension for naming (e.g., "week" from "v3.date.week") + order_by_dim = wgg.window_order_by_dim or "" + order_by_col = ( + order_by_dim.rsplit(".", 1)[-1].split("[")[0] + if order_by_dim + else f"window_{idx}" + ) + parent_short_name = get_short_name(wgg.parent_name) + + # Use the is_cross_fact_window flag set during measures phase + # Cross-fact window groups need base_metrics CTE as source + is_cross_fact = wgg.is_cross_fact_window + + # Find the base grain group CTE alias for this window grain group + # For single-fact: use the matching base grain group CTE + # For cross-fact: use base_metrics CTE + base_grain_group: Optional[GrainGroupSQL] = None + if is_cross_fact: + # Cross-fact: use base_metrics CTE (already has FULL OUTER JOIN) + source_cte_alias = window_metrics_cte_alias # pragma: no cover + else: + # Single-fact: find the matching base grain group CTE + source_cte_alias = None + for i, gg in enumerate(base_grain_groups): + if gg.parent_name == wgg.parent_name: # pragma: no branch + source_cte_alias = cte_aliases[i] + base_grain_group = gg + break + if not source_cte_alias: # pragma: no cover + # Fallback to base_metrics if parent not found + source_cte_alias = window_metrics_cte_alias + is_cross_fact = True # Treat as cross-fact for building + + # Step 1: Build aggregation CTE that reaggregates to the coarser window grain + agg_cte_alias = f"{parent_short_name}_{order_by_col}_agg" + # source_cte_alias is guaranteed to be set by the branches above + assert source_cte_alias is not None + if is_cross_fact: + # Cross-fact: use base_metrics as source, reference metric columns + agg_cte = build_window_agg_cte_from_base_metrics( # pragma: no cover + wgg, + source_cte_alias, # base_metrics CTE + ctx, + decomposed_metrics, + ) + else: + # Single-fact: use base grain group as source, reference components + assert base_grain_group is not None # Guaranteed by loop above + agg_cte = build_window_agg_cte_from_grain_group( + wgg, + base_grain_group, + source_cte_alias, # Base grain group CTE + ctx, + decomposed_metrics, + ) + agg_cte.to_cte(ast.Name(agg_cte_alias), None) + all_cte_asts.append(agg_cte) + + # Step 2: Build window CTE that applies LAG/LEAD functions + # This reads from the agg CTE (which has aggregated metrics at coarser grain) + window_cte_alias = f"{parent_short_name}_{order_by_col}" + window_cte = build_window_cte_from_grain_group( + wgg, + agg_cte_alias, # Source is the agg CTE + ctx, + decomposed_metrics, + alias_to_dimension_node, + ) + window_cte.to_cte(ast.Name(window_cte_alias), None) + all_cte_asts.append(window_cte) + + # Track which window metrics come from this CTE + for metric_name in wgg.window_metrics_served: + grain_window_ctes[metric_name] = window_cte_alias + + # Extract dimension column names from the window grain group for joining + wgg_dim_aliases = [ + col.name for col in wgg.columns if col.semantic_type == "dimension" + ] + + # Create GrainLevelInfo for FROM clause building + grain_levels[f"window_{idx}"] = GrainLevelInfo( + dimension_node=order_by_dim, + order_by_alias=order_by_col, + order_by_ref=order_by_dim, + cte_alias=window_cte_alias, + group_by_dims=wgg_dim_aliases, + join_dims=wgg_dim_aliases, # Join on all dimensions in the grain group + window_metrics=set(wgg.window_metrics_served), + ) + + # Build ColumnResolver for derived metrics + dim_cte_alias = ( + window_metrics_cte_alias if window_metrics_cte_alias else cte_aliases[0] + ) + resolver = ColumnResolver.from_base_metrics( + base_metrics_result, + dimension_aliases, + dim_cte_alias, + ) + + # Process remaining derived metrics (not base metrics or window metrics) + metrics_to_skip = all_grain_group_metrics | all_derived_for_base_metrics + derived_exprs = process_derived_metrics( + ctx, + decomposed_metrics, + metrics_to_skip, + resolver, + all_dim_aliases, + window_metrics_cte_alias, + set(), # No intermediate derived metrics in new architecture + alias_to_dimension_node, + ) + + # Merge derived metrics into the main metric_expr_asts dict + metric_expr_asts.update(derived_exprs) + + # For window metrics processed at grain level, create simple column references + # to the grain-level window CTEs (they've already computed the window functions) + for metric_name, window_cte_alias in grain_window_ctes.items(): + short_name = get_short_name(metric_name) + simple_ref = make_column_ref(short_name, window_cte_alias) + metric_expr_asts[metric_name] = MetricExprInfo( + expr_ast=simple_ref, + short_name=short_name, + cte_alias=window_cte_alias, + ) + + # Build metric projection in requested order + metric_projection, metric_columns = build_metric_projection(ctx, metric_expr_asts) + projection.extend(metric_projection) + columns_metadata.extend(metric_columns) + + # Build FROM clause and GROUP BY + dim_col_aliases = [col_alias for _, col_alias in dim_info] + from_clause, group_by = build_from_clause_with_grain_joins( + dim_col_aliases, + cte_aliases, + window_metrics_cte_alias, + base_grain_groups, # Only base grain groups, window handled via grain_levels + grain_levels, + ) + + # Build WHERE clause from filters + # For metrics SQL, filters reference dimension columns which are now in the CTEs + where_clause: Optional[ast.Expression] = None + if ctx.filters: + # Resolve filters using dimension aliases + # Use base_metrics CTE for window function queries, otherwise first grain group CTE + filter_cte = ( + window_metrics_cte_alias if window_metrics_cte_alias else cte_aliases[0] + ) + where_clause = parse_and_resolve_filters( + ctx.filters, + dimension_aliases, + cte_alias=filter_cte, + ) + + # Build the final SELECT + select_ast = ast.Select( + projection=projection, + from_=from_clause, + where=where_clause, + group_by=group_by, + ) + + # Build the final Query with all CTEs + final_query = ast.Query(select=select_ast, ctes=all_cte_asts) + + return GeneratedSQL( + query=final_query, + columns=columns_metadata, + dialect=measures_result.dialect, + ) diff --git a/datajunction-server/datajunction_server/construction/build_v3/preagg_matcher.py b/datajunction-server/datajunction_server/construction/build_v3/preagg_matcher.py new file mode 100644 index 000000000..efa1a9f86 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/preagg_matcher.py @@ -0,0 +1,259 @@ +""" +Pre-aggregation matching logic for SQL generation. + +This module provides functions to find pre-aggregations that can satisfy +a grain group's requirements, enabling SQL substitution when materialized +tables are available. +""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING + +from datajunction_server.database.preaggregation import ( + PreAggregation, + get_measure_expr_hashes, + compute_expression_hash, +) +from datajunction_server.models.decompose import MetricComponent +from datajunction_server.models.preaggregation import TemporalPartitionColumn +from datajunction_server.naming import SEPARATOR +from datajunction_server.construction.build_v3.dimensions import parse_dimension_ref + +if TYPE_CHECKING: + from datajunction_server.construction.build_v3.types import BuildContext, GrainGroup + from datajunction_server.database.node import Node + +logger = logging.getLogger(__name__) + + +def get_required_measure_hashes(grain_group: "GrainGroup") -> set[str]: + """ + Get the set of expression hashes for all measures required by a grain group. + + Args: + grain_group: The grain group to analyze + + Returns: + Set of expression hashes (MD5 hashes of normalized expressions) + """ + hashes = set() + for _, component in grain_group.components: + expr_hash = compute_expression_hash(component.expression) + hashes.add(expr_hash) + return hashes + + +def find_matching_preagg( + ctx: "BuildContext", + parent_node: "Node", + requested_grain: list[str], + grain_group: "GrainGroup", +) -> PreAggregation | None: + """ + Find a pre-aggregation that can satisfy the grain group requirements. + + Matching rules: + 1. Pre-agg must be for the same parent node (same node_revision_id) + 2. Pre-agg grain must be a SUPERSET of requested grain (can roll up but not drill down) + 3. Pre-agg measures must be a SUPERSET of required measures (by expr_hash) + 4. Pre-agg must have availability (already checked in load_available_preaggs) + + Args: + ctx: Build context with available_preaggs cache + parent_node: The parent node for this grain group + requested_grain: List of dimension references requested + grain_group: The grain group with required components + + Returns: + Matching PreAggregation if found, None otherwise + """ + if not ctx.use_materialized: + return None + + if not parent_node.current: + return None + + node_rev_id = parent_node.current.id + + # Get available pre-aggs for this parent node + available = ctx.available_preaggs.get(node_rev_id, []) + if not available: + return None + + # Get required measure hashes + required_measures = get_required_measure_hashes(grain_group) + if not required_measures: + return None + + # Normalize requested grain to a set for comparison + requested_grain_set = set(requested_grain) + + # Find a matching pre-agg + best_match: PreAggregation | None = None + best_grain_size = float("inf") + + for preagg in available: + preagg_grain_set = set(preagg.grain_columns or []) + + # Check grain compatibility: requested grain must be a subset of pre-agg grain + # This means pre-agg is at same or finer grain (can roll up) + if not requested_grain_set.issubset(preagg_grain_set): + logger.debug( + f"[BuildV3] Pre-agg {preagg.id} grain {preagg_grain_set} " + f"doesn't cover requested grain {requested_grain_set}", + ) + continue + + # Check measure coverage: required measures must be subset of pre-agg measures + preagg_measure_hashes = get_measure_expr_hashes(preagg.measures) + if not required_measures.issubset(preagg_measure_hashes): + logger.debug( + f"[BuildV3] Pre-agg {preagg.id} measures {preagg_measure_hashes} " + f"don't cover required measures {required_measures}", + ) + continue + + # Found a compatible pre-agg - prefer the one with smallest grain + # (closest to requested grain = less roll-up work) + if len(preagg_grain_set) < best_grain_size: # pragma: no branch + best_match = preagg + best_grain_size = len(preagg_grain_set) + logger.debug( + f"[BuildV3] Found matching pre-agg {preagg.id} " + f"(grain={preagg_grain_set}, measures={len(preagg_measure_hashes)})", + ) + + if best_match: + logger.info( + f"[BuildV3] Using pre-agg {best_match.id} for parent={parent_node.name} " + f"grain={requested_grain_set}", + ) + + return best_match + + +def get_preagg_measure_column( + preagg: PreAggregation, + component: MetricComponent, +) -> str | None: + """ + Find the column name in the pre-agg that corresponds to a metric component. + + Matches by expression hash to ensure we're getting the right column + even if names differ. + + Args: + preagg: The pre-aggregation to search + component: The metric component to find + + Returns: + Column name in the pre-agg, or None if not found + """ + target_hash = compute_expression_hash(component.expression) + + for measure in preagg.measures: + if measure.expr_hash == target_hash: + return measure.name + + return None + + +def get_temporal_partitions(preagg: PreAggregation) -> list[TemporalPartitionColumn]: + """ + Get temporal partition columns for a pre-aggregation. + """ + col_type_map: dict[str, str] = {} + if preagg.node_revision and preagg.node_revision.columns: # pragma: no branch + for col in preagg.node_revision.columns: + col_type_map[col.name] = str(col.type) + + temporal_partitions: list[TemporalPartitionColumn] = [] + if preagg.node_revision: # pragma: no branch + # Build reverse mapping: source column name -> dimension attribute + # dimensions_to_columns_map returns {dim_attr (AST Column): source_col (AST Column)} + col_to_dim: dict[str, str] = {} + dim_to_col = preagg.node_revision.dimensions_to_columns_map() + for dim_attr, source_col in dim_to_col.items(): + # dim_attr is like "dimensions.date.dateint" + # source_col is an AST Column, get its name (e.g., "utc_date") + source_col_name = source_col.identifier().split(SEPARATOR)[-1] + col_to_dim[source_col_name] = dim_attr + + for temporal_col in preagg.node_revision.temporal_partition_columns(): + source_name = temporal_col.name + source_type = str(temporal_col.type) if temporal_col.type else "int" + output_name = source_name # default + + # Strategy 1: Source name directly in grain + full_source_col = f"{preagg.node_revision.name}{SEPARATOR}{source_name}" + if full_source_col in preagg.grain_columns: + output_name = source_name # pragma: no cover + + # Strategy 2: Check dimension links via dimensions_to_columns_map + # If temporal column maps to a dimension attribute, find that in grain + elif source_name in col_to_dim: + dim_attr = col_to_dim[source_name] + dim_node = dim_attr.rsplit(SEPARATOR, 1)[0] + # Check if this dimension attribute or its parent node is in grain_columns + for gc in preagg.grain_columns: + if gc == dim_attr or gc.startswith(dim_node + SEPARATOR): + # Parse the dimension ref to handle role syntax properly + # e.g., "v3.date.week[order]" -> column_name="week", role="order" + # -> output_name="week_order" + parsed = parse_dimension_ref(gc) + output_name = parsed.column_name + if parsed.role: # pragma: no branch + output_name = f"{output_name}_{parsed.role}" + logger.info( + "Temporal column %s links to dimension %s -> output %s", + source_name, + dim_attr, + output_name, + ) + break + + # Strategy 3: Check column.dimension reference link + elif temporal_col.dimension: # pragma: no cover + dim_name = temporal_col.dimension.name + for gc in preagg.grain_columns: + if gc.startswith(dim_name + SEPARATOR): + # Parse the dimension ref to handle role syntax properly + parsed = parse_dimension_ref(gc) + output_name = parsed.column_name + if parsed.role: + output_name = f"{output_name}_{parsed.role}" + break + + # Map output column to source type (for DDL generation) + if output_name != source_name: + col_type_map[output_name] = source_type # pragma: no cover + + logger.info( + "Temporal partition: source=%s -> output=%s (type=%s)", + source_name, + output_name, + source_type, + ) + + temporal_partitions.append( + TemporalPartitionColumn( + column_name=output_name, + column_type=source_type, + format=temporal_col.partition.format + if temporal_col.partition + else None, + granularity=( + str(temporal_col.partition.granularity.value) + if temporal_col.partition and temporal_col.partition.granularity + else None + ), + expression=( + str(temporal_col.partition.temporal_expression()) + if temporal_col.partition + else None + ), + ), + ) + return temporal_partitions diff --git a/datajunction-server/datajunction_server/construction/build_v3/types.py b/datajunction-server/datajunction_server/construction/build_v3/types.py new file mode 100644 index 000000000..45637bef6 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/types.py @@ -0,0 +1,600 @@ +from __future__ import annotations + +import logging +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Optional + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.construction.build_v3.alias_registry import AliasRegistry +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.node import Node +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.decompose import MetricComponent, Aggregability +from datajunction_server.models.dialect import Dialect +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.ast import to_sql +from datajunction_server.sql.parsing.backends.antlr4 import parse + +if TYPE_CHECKING: + from datajunction_server.database.engine import Engine + from datajunction_server.database.node import NodeRevision + from datajunction_server.database.preaggregation import PreAggregation + +logger = logging.getLogger(__name__) + + +@dataclass +class BuildContext: + """ + Immutable context passed through the SQL generation pipeline. + + Contains all the information needed to build SQL for a set of metrics + and dimensions. + """ + + session: AsyncSession + metrics: list[str] + dimensions: list[str] + filters: list[str] = field(default_factory=list) + dialect: Dialect = Dialect.SPARK + alias_registry: AliasRegistry = field(default_factory=AliasRegistry) + + # Whether to use materialized tables when available (default: True) + # Set to False when building SQL for materialization to avoid circular references + use_materialized: bool = True + + # Temporal filter settings for incremental materialization + # When True, adds DJ_LOGICAL_TIMESTAMP() filters on temporal partition columns + include_temporal_filters: bool = False + lookback_window: str | None = None + + # Loaded data (populated by load_nodes) + nodes: dict[str, Node] = field(default_factory=dict) + + # Preloaded join paths: (source_revision_id, dim_name, role) -> list[DimensionLink] + # Populated by load_nodes() using a single recursive CTE query + join_paths: dict[tuple[int, str, str], list[DimensionLink]] = field( + default_factory=dict, + ) + + # Parent map: child_node_name -> list of parent_node_names + # Populated by find_upstream_node_names(), used to find metric parents without + # needing to eager-load the parents relationship + parent_map: dict[str, list[str]] = field(default_factory=dict) + + # Table alias counter for generating unique aliases + _table_alias_counter: int = field(default=0) + + # Parent revision IDs from load_nodes, used by load_available_preaggs + _parent_revision_ids: set[int] = field(default_factory=set) + + # AST cache: node_name -> parsed query AST (avoids re-parsing same query) + _parsed_query_cache: dict[str, ast.Query] = field(default_factory=dict) + + # Pre-aggregation cache: maps node_revision_id to list of available PreAggregation records + # Populated by load_available_preaggs() when use_materialized=True + available_preaggs: dict[int, list["PreAggregation"]] = field(default_factory=dict) + + # Populated by setup_build_context() after decomposition + metric_groups: list["MetricGroup"] = field(default_factory=list) + decomposed_metrics: dict[str, "DecomposedMetricInfo"] = field(default_factory=dict) + + def next_table_alias(self, base_name: str) -> str: + """Generate a unique table alias.""" + self._table_alias_counter += 1 + # Use short alias like t1, t2, etc. + return f"t{self._table_alias_counter}" + + def get_parsed_query(self, node: Node) -> ast.Query: + """ + Get the parsed query AST for a node, using cache if available. + + Important: Returns a reference to the cached AST. If you need to modify + it, make a copy first to avoid corrupting the cache. + """ + if node.name in self._parsed_query_cache: + return self._parsed_query_cache[node.name] + + if not node.current or not node.current.query: # pragma: no cover + raise DJInvalidInputException(f"Node {node.name} has no query") + + query_ast = parse(node.current.query) + self._parsed_query_cache[node.name] = query_ast + return query_ast + + def get_parent_node(self, metric_node: Node) -> Node: + """Get the parent node of a metric (the node it's defined on).""" + # Use cached parent_map + parent_names = self.parent_map.get(metric_node.name, []) + if not parent_names: # pragma: no cover + raise DJInvalidInputException( + f"Metric {metric_node.name} has no parent node", + ) + + # Metrics typically have one parent (the node they SELECT FROM) + parent_name = parent_names[0] + parent = self.nodes.get(parent_name) + if not parent: # pragma: no cover + raise DJInvalidInputException(f"Parent node not found: {parent_name}") + return parent + + def get_metric_node(self, metric_name: str) -> Node: + """Get a metric node by name, raising if not found or not a metric.""" + node = self.nodes.get(metric_name) + if not node: # pragma: no cover + raise DJInvalidInputException(f"Metric not found: {metric_name}") + if node.type != NodeType.METRIC: # pragma: no cover + raise DJInvalidInputException(f"Not a metric node: {metric_name}") + return node + + +@dataclass +class ColumnMetadata: + """ + Metadata about a column in the generated SQL. + + This is V3's simplified column metadata focused on what's actually useful: + - Identifying the output column name + - Linking back to the semantic entity (node.column for dims, node for metrics) + - Distinguishing column types via semantic_type + """ + + name: str # SQL alias in output (clean name) + semantic_name: ( + str # Full semantic path (e.g., 'v3.customer.name' or 'v3.total_revenue') + ) + type: str # SQL type (string, number, etc.) + semantic_type: str # "dimension", "metric", "metric_component", or "metric_input" + + +@dataclass +class ResolvedExecutionContext: + """ + Resolved dialect and engine for executing a metrics query. + + This is returned by resolve_dialect_and_engine_for_metrics() to provide + all execution context in a single lookup, avoiding duplicate cube matching. + """ + + dialect: Dialect + engine: "Engine" # Forward reference to avoid circular import + catalog_name: str + cube: Optional["NodeRevision"] = None # The matched cube, if any + + +@dataclass +class GrainGroupSQL: + """ + SQL for a single grain group within measures SQL. + + Each grain group represents metrics that can be computed at the same aggregation level. + Different aggregability levels produce different grain groups: + - FULL: aggregates to requested dimensions + - LIMITED: aggregates to requested dimensions + level columns + - NONE: stays at native grain (primary key) + + Merged grain groups (is_merged=True) contain components from multiple aggregability + levels and output raw values. Aggregations are applied in the final SELECT. + + The query is stored as an AST object. Use the `sql` property to render to string. + """ + + query: ast.Query # AST object - only convert to string at API boundary + columns: list[ColumnMetadata] + grain: list[ + str + ] # Column names in GROUP BY (beyond requested dims for LIMITED/NONE) + aggregability: Aggregability + metrics: list[str] # Metric names covered by this grain group + parent_name: str # Name of the parent node (fact/transform) for this grain group + # Mapping from component name (hashed) to actual SQL alias in the output + # Used by metrics SQL to correctly reference component columns + component_aliases: dict[str, str] = field(default_factory=dict) + + # Merge tracking: when True, aggregations happen in final SELECT, not in CTE + is_merged: bool = False + + # For merged groups: original aggregability per component (component.name -> Aggregability) + # Used by generate_metrics_sql() to apply correct aggregation in final SELECT + component_aggregabilities: dict[str, Aggregability] = field(default_factory=dict) + + # Metric components included in this grain group (for materialization planning) + # Each component has: name, expression, aggregation (phase 1), merge (phase 2), rule + components: list[MetricComponent] = field(default_factory=list) + + # Dialect for rendering SQL (used for dialect-specific function names) + dialect: Dialect = Dialect.SPARK + + # Window grain group tracking: True if this grain group was created for window metrics + # at a coarser grain (e.g., weekly for WoW metrics when user requested daily) + is_window_grain_group: bool = False + + # For window grain groups: the window metrics this grain group serves + # (e.g., ["v3.wow_revenue", "v3.wow_orders"]) + window_metrics_served: list[str] = field(default_factory=list) + + # For window grain groups: the ORDER BY dimension ref (e.g., "v3.date.week") + window_order_by_dim: Optional[str] = None + + # For window grain groups: True if window metrics reference base metrics from + # multiple facts (cross-fact). This requires using base_metrics CTE as source + # instead of individual grain group CTEs. + is_cross_fact_window: bool = False + + @property + def sql(self) -> str: + """Render the query AST to SQL string for the target dialect.""" + return to_sql(self.query, self.dialect) + + +@dataclass +class GeneratedMeasuresSQL: + """ + Output of measures SQL generation. + + Contains multiple grain groups, each at a different aggregation level. + These can be: + - Materialized separately for efficient queries + - Combined by metrics SQL into a single executable query + + Also includes the build context and decomposed metrics to avoid + redundant database queries when generating metrics SQL. + """ + + grain_groups: list[GrainGroupSQL] + dialect: Dialect + requested_dimensions: list[str] # Original dimension refs for context + + # Internal: passed to build_metrics_sql to avoid redundant work + # These are not serialized in API responses + ctx: "BuildContext" + decomposed_metrics: dict[str, "DecomposedMetricInfo"] = field(default_factory=dict) + + # Window metrics that require grain-level grain groups + # Maps metric_name -> set of ORDER BY column refs (e.g., {"v3.date.week"}) + # These are LAG/LEAD window function metrics that need aggregation at a different grain + window_metric_grains: dict[str, set[str]] = field(default_factory=dict) + + +@dataclass +class GeneratedSQL: + """ + Output of metrics SQL generation (single combined SQL). + + This is the final, executable SQL that combines all grain groups + and applies final metric expressions. + + The query is stored as an AST object. Use the `sql` property to render to string. + """ + + query: ast.Query # AST object - only convert to string at API boundary + columns: list[ColumnMetadata] + dialect: Dialect + + # If a cube was used to generate this SQL, contains the cube name + # This is used by the /data/ endpoint to select the correct engine (e.g., Druid) + cube_name: Optional[str] = None + + @property + def sql(self) -> str: + """Render the query AST to SQL string for the target dialect.""" + return to_sql(self.query, self.dialect) + + +@dataclass +class JoinPath: + """ + Represents a path from a fact/transform to a dimension via dimension links. + """ + + links: list[DimensionLink] # Ordered list of links to traverse + target_dimension: Node # The final dimension node + role: Optional[str] = ( + None # Role qualifier if specified (e.g., "from", "to", "customer->home") + ) + + @property + def target_node_name(self) -> str: + return self.target_dimension.name + + +@dataclass +class ResolvedDimension: + """ + A dimension that has been resolved to its join path. + """ + + original_ref: str # Original reference (e.g., "v3.customer.name[order]") + node_name: str # Dimension node name (e.g., "v3.customer") + column_name: str # Column name (e.g., "name") + role: Optional[str] # Role if specified (e.g., "order") + join_path: Optional[ + JoinPath + ] # Join path from fact to this dimension (None if local) + is_local: bool # True if dimension is on the fact table itself + + +@dataclass +class DimensionRef: + """Parsed dimension reference.""" + + node_name: str + column_name: str + role: Optional[str] = None + + +class ColumnType: + """Types of columns that can be resolved.""" + + METRIC = "metric" + COMPONENT = "component" + DIMENSION = "dimension" + + +@dataclass +class ColumnRef: + """Reference to a column in a CTE.""" + + cte_alias: str + column_name: str + column_type: str = ColumnType.COMPONENT # Default for backward compatibility + + +@dataclass +class ColumnResolver: + """ + Resolves semantic references (metric names, component names, dimension refs) + to their CTE column locations. + + Provides a unified interface for looking up where any reference should + resolve to in the generated SQL. + """ + + _entries: dict[str, ColumnRef] = field(default_factory=dict) + + @classmethod + def from_base_metrics( + cls, + base_metrics_result: "BaseMetricsResult", + dimension_aliases: dict[str, str], + dim_cte_alias: str, + ) -> "ColumnResolver": + """ + Create a ColumnResolver from base metrics processing results. + + Args: + base_metrics_result: Result from process_base_metrics + dimension_aliases: Mapping from dimension refs to column aliases + dim_cte_alias: CTE alias for dimension columns + + Returns: + Populated ColumnResolver + """ + resolver = cls() + + # Register metrics + for name, info in base_metrics_result.metric_exprs.items(): + resolver.register(name, info.cte_alias, info.short_name, ColumnType.METRIC) + + # Register components + for name, ref in base_metrics_result.component_refs.items(): + resolver.register( + name, + ref.cte_alias, + ref.column_name, + ColumnType.COMPONENT, + ) + + # Register dimensions + for dim_ref, col_alias in dimension_aliases.items(): + resolver.register(dim_ref, dim_cte_alias, col_alias, ColumnType.DIMENSION) + + return resolver + + def register( + self, + name: str, + cte_alias: str, + column_name: str, + column_type: str, + ) -> None: + """Register a name -> column mapping.""" + self._entries[name] = ColumnRef(cte_alias, column_name, column_type) + + def resolve(self, name: str) -> ColumnRef | None: + """Resolve a name to its column reference.""" + return self._entries.get(name) # pragma: no cover + + def get_by_type(self, col_type: str) -> dict[str, ColumnRef]: + """Get all entries of a specific type.""" + return {k: v for k, v in self._entries.items() if v.column_type == col_type} + + # Compatibility methods for existing replace_*_refs_in_ast functions + def metric_refs(self) -> dict[str, tuple[str, str]]: + """Get metric refs as tuples for replace_metric_refs_in_ast.""" + return { + name: (ref.cte_alias, ref.column_name) + for name, ref in self._entries.items() + if ref.column_type == ColumnType.METRIC + } + + def component_refs(self) -> dict[str, tuple[str, str]]: + """Get component refs as tuples for replace_component_refs_in_ast.""" + return { + name: (ref.cte_alias, ref.column_name) + for name, ref in self._entries.items() + if ref.column_type == ColumnType.COMPONENT + } + + def dimension_refs(self) -> dict[str, tuple[str, str]]: + """Get dimension refs as tuples for replace_dimension_refs_in_ast.""" + return { + name: (ref.cte_alias, ref.column_name) + for name, ref in self._entries.items() + if ref.column_type == ColumnType.DIMENSION + } + + +@dataclass +class MetricExprInfo: + """ + Information about a metric expression for the final SELECT. + + Contains the AST expression, short name for aliasing, and which CTE + the metric comes from. + """ + + expr_ast: "ast.Expression" + short_name: str + cte_alias: str + + +@dataclass +class BaseMetricsResult: + """ + Result of processing base metrics from grain groups. + + Contains all the mappings needed for derived metric resolution + and final query building. + """ + + all_metrics: set[str] # All metric names in grain groups + metric_exprs: dict[str, MetricExprInfo] # metric_name -> expression info + component_refs: dict[str, ColumnRef] # component_name -> column reference + + +@dataclass +class DecomposedMetricInfo: + """ + Information about a decomposed metric. + + Contains the metric's components (for measures SQL), combiner expression + (for metrics SQL), and aggregability info. + """ + + metric_node: Node + components: list[MetricComponent] # The decomposed components + aggregability: Aggregability # Overall aggregability (FULL, LIMITED, NONE) + combiner: ( + str # Expression combining merged components into final value (deprecated) + ) + derived_ast: ast.Query # The full derived query AST + + @property + def combiner_ast(self) -> ast.Expression: + """ + Get the combiner expression as an AST node. + + This is the first projection element from the derived query AST, + which contains the metric expression with component references. + """ + from copy import deepcopy + + # Return a copy to avoid mutating the original AST + return deepcopy(self.derived_ast.select.projection[0]) # type: ignore + + @property + def is_fully_decomposable(self) -> bool: + """True if all components have FULL aggregability.""" + return all(c.rule.type == Aggregability.FULL for c in self.components) + + def is_derived_for_parents( + self, + parent_names: list[str], + nodes: dict[str, Node], + ) -> bool: + """ + Check if this metric references other metrics (not just a simple aggregation). + + Args: + parent_names: List of parent node names from the parent_map + nodes: Dict of loaded nodes + + Returns: + True if any parent is a metric + """ + for parent_name in parent_names: + parent_node = nodes.get(parent_name) + if parent_node and parent_node.type == NodeType.METRIC: + return True + return False + + +@dataclass +class MetricGroup: + """ + A group of metrics that share the same parent node. + + All metrics in a group can be computed in the same SELECT statement. + Contains decomposed metric info with components and aggregability. + """ + + parent_node: Node + decomposed_metrics: list[DecomposedMetricInfo] # Decomposed metrics with components + + @property + def overall_aggregability(self) -> Aggregability: + """ + Get the worst-case aggregability across all metrics in this group. + """ + if not self.decomposed_metrics: # pragma: no cover + return Aggregability.NONE + + if any(m.aggregability == Aggregability.NONE for m in self.decomposed_metrics): + return Aggregability.NONE + if any( + m.aggregability == Aggregability.LIMITED for m in self.decomposed_metrics + ): + return Aggregability.LIMITED + return Aggregability.FULL + + +@dataclass +class GrainGroup: + """ + A group of metric components that share the same effective grain. + + Components in the same grain group can be computed in a single SELECT + with the same GROUP BY clause. + + Grain groups are determined by aggregability: + - FULL: requested dimensions only + - LIMITED: requested dimensions + level columns (e.g., customer_id for COUNT DISTINCT) + - NONE: native grain (primary key of parent node) + + Grain groups from the same parent can be merged into a single CTE at the + finest grain. When merged, is_merged=True and original component aggregabilities + are preserved in component_aggregabilities for proper aggregation in final SELECT. + + Non-decomposable metrics (like MAX_BY) have empty components but need a grain + group at native grain to pass through raw rows for aggregation in metrics SQL. + """ + + parent_node: Node + aggregability: Aggregability + grain_columns: list[str] # Columns to GROUP BY (beyond requested dimensions) + components: list[tuple[Node, MetricComponent]] # (metric_node, component) pairs + + # Merge tracking: when True, aggregations happen in final SELECT, not in CTE + is_merged: bool = False + + # For merged groups: tracks original aggregability per component + # Maps component.name -> original Aggregability + component_aggregabilities: dict[str, Aggregability] = field(default_factory=dict) + + # Non-decomposable metrics that couldn't be broken into components + # These need their raw metric expression applied in the final SELECT + non_decomposable_metrics: list["DecomposedMetricInfo"] = field(default_factory=list) + + @property + def grain_key(self) -> tuple[str, Aggregability, tuple[str, ...]]: + """ + Key for grouping: (parent_name, aggregability, sorted grain columns). + """ + return ( + self.parent_node.name, + self.aggregability, + tuple(sorted(self.grain_columns)), + ) diff --git a/datajunction-server/datajunction_server/construction/build_v3/utils.py b/datajunction-server/datajunction_server/construction/build_v3/utils.py new file mode 100644 index 000000000..5c677a542 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/build_v3/utils.py @@ -0,0 +1,277 @@ +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING + +from datajunction_server.database.node import Node +from datajunction_server.sql.parsing import ast +from datajunction_server.utils import SEPARATOR + +if TYPE_CHECKING: + from datajunction_server.construction.build_v3.types import ( + BuildContext, + DecomposedMetricInfo, + ) + +logger = logging.getLogger(__name__) + + +def get_short_name(full_name: str) -> str: + """ + Get the last segment of a dot-separated name. + + Examples: + get_short_name("v3.order_details") -> "order_details" + get_short_name("v3.product.category") -> "category" + get_short_name("simple_name") -> "simple_name" + """ + return full_name.split(SEPARATOR)[-1] + + +def amenable_name(name: str) -> str: + """Convert a node name to a SQL-safe identifier (for CTEs).""" + return name.replace(SEPARATOR, "_").replace("-", "_") + + +def make_name(dotted_name: str) -> ast.Name: + """ + Create an AST Name from a dotted string like 'catalog.schema.table'. + + The Name class uses nested namespace attributes: + 'a.b.c' becomes Name('c', namespace=Name('b', namespace=Name('a'))) + """ + parts = dotted_name.split(SEPARATOR) + if not parts: # pragma: no cover + return ast.Name("") + + # Build from left to right, each becoming the namespace of the next + result = ast.Name(parts[0]) + for part in parts[1:]: + result = ast.Name(part, namespace=result) + + return result + + +def make_column_ref(col_name: str, table_alias: str | None = None) -> ast.Column: + """ + Build a column reference AST node with optional table alias. + + Args: + col_name: The column name + table_alias: Optional table/CTE alias to qualify the column + + Returns: + ast.Column node that renders to SQL + + Generated SQL examples: + make_column_ref("status") -> status + make_column_ref("status", "t1") -> t1.status + make_column_ref("category", "gg0") -> gg0.category + """ + if table_alias: + return ast.Column( + name=ast.Name(col_name), + _table=ast.Table(ast.Name(table_alias)), + ) + return ast.Column(name=ast.Name(col_name)) # pragma: no cover + + +def get_cte_name(node_name: str) -> str: + """ + Generate a CTE-safe name from a node name. + + Replaces dots with underscores to create valid SQL identifiers. + Uses the same logic as amenable_name for consistency. + """ + return node_name.replace(SEPARATOR, "_").replace("-", "_") + + +def get_column_type(node: Node, column_name: str) -> str: + """ + Look up the column type from a node's columns. + + Returns the string representation of the column type, or "string" as fallback. + """ + if node.current and node.current.columns: # pragma: no branch + for col in node.current.columns: + if col.name == column_name: + return str(col.type) if col.type else "string" # pragma: no cover + return "string" # pragma: no cover + + +def extract_columns_from_expression(expr: ast.Expression) -> set[str]: + """ + Extract all column names referenced in an expression. + """ + columns: set[str] = set() + for col in expr.find_all(ast.Column): + # Get the column name (last part of the identifier) + if col.name: # pragma: no branch + columns.add(col.name.name) + return columns + + +def collect_required_dimensions( + nodes: dict[str, Node], + metrics: list[str], +) -> list[str]: + """ + Collect required dimensions from all requested metrics. + + Required dimensions are dimensions that MUST be included in the grain + for metrics with window functions (LAG, LEAD, etc.) to work correctly. + + For example, a metric like: + (revenue - LAG(revenue, 1) OVER (ORDER BY dateint)) / ... + + Requires `dateint` in the grain, otherwise LAG() would see only one row + and always return NULL. + + Required dimensions are stored as Column objects on a dimension node. + This function reconstructs the full path: "node_name.column_name" + + Args: + nodes: Dict of loaded nodes (node_name -> Node) + metrics: List of requested metric names + + Returns: + List of required dimension references (full paths like "node.column") + """ + required_dims: set[str] = set() + + for metric_name in metrics: + metric_node = nodes.get(metric_name) + if not metric_node or not metric_node.current: + continue + + # Check required_dimensions on the metric node + # These are Column objects stored on dimension nodes + # We need to reconstruct the full path: "dimension_node.column_name" + if metric_node.current.required_dimensions: + for col in metric_node.current.required_dimensions: + # Get the dimension node name from the column's node_revision + if col.node_revision and col.node_revision.node: + dim_node_name = col.node_revision.node.name + full_path = f"{dim_node_name}{SEPARATOR}{col.name}" + required_dims.add(full_path) + else: + # Fallback: just use the column name (shouldn't happen) + required_dims.add(col.name) # pragma: no cover + + # Sort for deterministic ordering + return sorted(required_dims) + + +def add_dimensions_from_metric_expressions( + ctx: "BuildContext", + decomposed_metrics: dict[str, "DecomposedMetricInfo"], +) -> None: + """ + Scan combiner ASTs for dimension references and add them to ctx.dimensions. + + This handles dimensions used in metric expressions (e.g., LAG ORDER BY) that + weren't explicitly requested by the user or marked as required_dimensions. + We add them so they're included in the grain group SQL. + + Args: + ctx: BuildContext with dimensions list to update + decomposed_metrics: Dict of metric_name -> DecomposedMetricInfo with combiner ASTs + """ + # Import here to avoid circular imports + from datajunction_server.construction.build_v3.cte import get_column_full_name + from datajunction_server.construction.build_v3.dimensions import parse_dimension_ref + + existing_dims = set(ctx.dimensions) + for decomposed in decomposed_metrics.values(): + combiner_ast = decomposed.combiner_ast + for col in combiner_ast.find_all(ast.Column): + full_name = get_column_full_name(col) + if full_name and SEPARATOR in full_name and full_name not in existing_dims: + # Check if any existing dimension already covers this (node, column) + dim_ref = parse_dimension_ref(full_name) + is_covered = False + for existing_dim in ctx.dimensions: + existing_ref = parse_dimension_ref(existing_dim) + if ( + existing_ref.node_name == dim_ref.node_name + and existing_ref.column_name == dim_ref.column_name + ): + is_covered = True + break + if not is_covered: + logger.info( + f"[BuildV3] Auto-adding dimension {full_name} from metric expression", + ) + ctx.dimensions.append(full_name) + existing_dims.add(full_name) + + +def build_join_from_clause( + cte_names: list[str], + table_refs: dict[str, ast.Table], + shared_grain: list[str], +) -> ast.From: + """ + Build FROM clause with FULL OUTER JOINs on CTEs. + + Example output (CTEs are defined in the WITH clause): + FROM gg1 + FULL OUTER JOIN gg2 ON gg1.dim1 = gg2.dim1 AND gg1.dim2 = gg2.dim2 + FULL OUTER JOIN gg3 ON gg1.dim1 = gg3.dim1 AND gg1.dim2 = gg3.dim2 + """ + first_name = cte_names[0] + + # Build JOIN extensions for remaining CTEs + join_extensions = [] + for name in cte_names[1:]: + # Build JOIN criteria on shared grain columns + join_criteria = _build_join_criteria( + table_refs[first_name], + table_refs[name], + shared_grain, + ) + + join_extension = ast.Join( + join_type="FULL OUTER", + right=ast.Table(name=ast.Name(name)), + criteria=ast.JoinCriteria(on=join_criteria), + ) + + join_extensions.append(join_extension) + + # Build the FROM clause - primary is first CTE, extensions are JOINs + from_relation = ast.Relation( + primary=ast.Table(name=ast.Name(first_name)), + extensions=join_extensions, + ) + + return ast.From(relations=[from_relation]) + + +def _build_join_criteria( + left_table: ast.Table, + right_table: ast.Table, + grain_columns: list[str], +) -> ast.Expression: + """ + Build JOIN ON condition for grain columns. + + Example output: + left.dim1 = right.dim1 AND left.dim2 = right.dim2 + """ + if not grain_columns: + # No grain columns - use TRUE (cartesian join) + return ast.Boolean(True) # type: ignore + + conditions = [ + ast.BinaryOp.Eq( + ast.Column(name=ast.Name(col), _table=left_table), + ast.Column(name=ast.Name(col), _table=right_table), + ) + for col in grain_columns + ] + + if len(conditions) == 1: + return conditions[0] + + return ast.BinaryOp.And(*conditions) diff --git a/datajunction-server/datajunction_server/construction/dimensions.py b/datajunction-server/datajunction_server/construction/dimensions.py new file mode 100644 index 000000000..463c1db38 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/dimensions.py @@ -0,0 +1,130 @@ +""" +Dimensions-related query building +""" + +from typing import List, Optional + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.api.helpers import get_catalog_by_name +from datajunction_server.internal.sql import get_measures_query +from datajunction_server.database.node import NodeRevision +from datajunction_server.database.user import User +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.internal.access.authorization import AccessChecker +from datajunction_server.models.column import SemanticType +from datajunction_server.models.metric import TranslatedSQL +from datajunction_server.models.query import ColumnMetadata +from datajunction_server.naming import amenable_name, from_amenable_name +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing.types import IntegerType +from datajunction_server.utils import SEPARATOR + + +async def build_dimensions_from_cube_query( + session: AsyncSession, + cube: NodeRevision, + dimensions: List[str], + current_user: User, + access_checker: AccessChecker, + filters: Optional[str] = None, + limit: Optional[int] = 50000, + include_counts: bool = False, +) -> TranslatedSQL: + """ + Builds a query for retrieving unique values of a dimension for the given cube. + The filters provided here are additional filters layered on top of any existing cube filters. + Setting `include_counts` to true will also provide associated counts for each dimension value. + """ + unavailable_dimensions = set(dimensions) - set(cube.cube_dimensions()) + if unavailable_dimensions: + raise DJInvalidInputException( + f"The following dimensions {unavailable_dimensions} are not " + f"available in the cube {cube.name}.", + ) + query_ast: ast.Query = ast.Query( + select=ast.Select(from_=ast.From(relations=[])), + ctes=[], + ) + for dimension in dimensions or cube.cube_dimensions(): + dimension_column = ast.Column( + name=ast.Name(amenable_name(dimension)), + ) + query_ast.select.projection.append(dimension_column) + query_ast.select.group_by.append(dimension_column) + if include_counts: + query_ast.select.projection.append( + ast.Function( + name=ast.Name("COUNT"), + args=[ast.Column(name=ast.Name("*"))], + ), + ) + query_ast.select.organization = ast.Organization( + order=[ + ast.SortItem( + expr=ast.Column( + name=ast.Name(str(len(query_ast.select.projection))), + ), + asc="DESC", + nulls="", + ), + ], + ) + query_ast.select.where = None + + if limit is not None: + query_ast.select.limit = ast.Number(limit) + + # Build the FROM clause. The source table on the FROM clause depends on whether + # the cube is available as a materialized datasource or if it needs to be built up + # from the measures query. + if cube.availability: + catalog = await get_catalog_by_name(session, cube.availability.catalog) # type: ignore + query_ast.select.from_.relations.append( # type: ignore + ast.Relation(primary=ast.Table(ast.Name(cube.availability.table))), # type: ignore + ) + if filters: + temp_filters_select = parse(f"select * where {filters}") + for col in temp_filters_select.find_all(ast.Column): + if ( # pragma: no cover + col.alias_or_name.identifier() in cube.cube_dimensions() + ): + col.name = ast.Name( + name=amenable_name(col.alias_or_name.identifier()), + ) + query_ast.select.where = temp_filters_select.select.where + else: + catalog = cube.catalog + measures_query = await get_measures_query( + session=session, + metrics=[metric.name for metric in cube.cube_metrics()], + dimensions=dimensions, + filters=[filters] if filters else [], + access_checker=access_checker, + ) + measures_query_ast = parse(measures_query[0].sql) + measures_query_ast.bake_ctes() + measures_query_ast.parenthesized = True + query_ast.select.from_.relations.append( # type: ignore + ast.Relation(primary=measures_query_ast), + ) + types_lookup = { + amenable_name(elem.node_revision.name + SEPARATOR + elem.name): elem.type # type: ignore + for elem in cube.cube_elements + } + return TranslatedSQL.create( + sql=str(query_ast), + columns=[ + ColumnMetadata( + name=col.name.name, # type: ignore + type=str(types_lookup.get(col.name.name)), # type: ignore + semantic_entity=from_amenable_name(col.name.name), # type: ignore + semantic_type=SemanticType.DIMENSION, + ) + if col.name.name in types_lookup # type: ignore + else ColumnMetadata(name="count", type=str(IntegerType())) + for col in query_ast.select.projection + ], + dialect=catalog.engines[0].dialect if catalog else None, + ) diff --git a/datajunction-server/datajunction_server/construction/dj_query.py b/datajunction-server/datajunction_server/construction/dj_query.py new file mode 100644 index 000000000..01d64084a --- /dev/null +++ b/datajunction-server/datajunction_server/construction/dj_query.py @@ -0,0 +1,263 @@ +# pragma: no cover +""" +Functions for making queries directly against DJ +""" + +from typing import Dict, List, Set, Tuple + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.construction.build import build_metric_nodes +from datajunction_server.construction.build_v2 import QueryBuilder +from datajunction_server.construction.utils import try_get_dj_node +from datajunction_server.database.node import Node +from datajunction_server.models.node_type import NodeType +from datajunction_server.naming import amenable_name +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse + + +def selects_only_metrics(select: ast.Select) -> bool: + """ + Checks that a Select only has FROM metrics + """ + + return ( + select.from_ is not None + and len(select.from_.relations) == 1 + and len(select.from_.relations[0].extensions) == 0 + and str(select.from_.relations[0].primary) == "metrics" + ) + + +async def resolve_metric_queries( + session: AsyncSession, + tree: ast.Query, + ctx: ast.CompileContext, + touched_nodes: Set[int], + metrics: List[Node], +): + """ + Find all Metric Node references + ensure they belong to a query sourcing `metrics` + build the queries as if they were API queries + replace them in the original query + """ + for col in tree.find_all(ast.Column): + curr_cols = [] + metric_nodes = [] + if id(col) in touched_nodes: + continue + ident = col.identifier(False) + if metric_node := await try_get_dj_node(session, ident, {NodeType.METRIC}): + curr_cols.append((True, col)) + # if we found a metric node we need to check where it came from + parent_select = col.get_nearest_parent_of_type(ast.Select) + if not parent_select or not selects_only_metrics(parent_select): + raise ast.DJParseException( + "Any SELECT referencing a Metric must source " + "from a single unaliased Table named `metrics`.", + ) + metric_nodes.append(metric_node) + metrics.append(metric_node) + dimensions = [str(exp) for exp in parent_select.group_by] + + if any( + ( + parent_select.having, + parent_select.lateral_views, + parent_select.set_op, + ), + ): + raise ast.DJParseException( + "HAVING, LATERAL VIEWS, and SET OPERATIONS " + "are not allowed on `metrics` queries.", + ) + + for sibling_col in parent_select.projection: + if sibling_col is col: + continue + if not isinstance(sibling_col, ast.Column): + raise ast.DJParseException( + "Only direct Columns are allowed in " + f"`metrics` queries, found `{sibling_col}`.", + ) + + sibling_ident = sibling_col.identifier(False) + + sibling_node = await try_get_dj_node( + session, + sibling_ident, + {NodeType.METRIC}, + ) + + if sibling_ident in dimensions: + curr_cols.append((False, sibling_col)) + elif sibling_node is not None: + curr_cols.append((True, sibling_col)) + else: + raise ast.DJParseException( + "You can only select direct METRIC nodes or a column " + f"from your GROUP BY on `metrics` queries, found `{sibling_col}`", + ) + + if sibling_node: + metric_nodes.append(sibling_node) + touched_nodes.add(id(sibling_col)) + + filters = [str(parent_select.where)] if parent_select.where else [] + + orderby = [ + str(sort) + for sort in ( + parent_select.organization.order + parent_select.organization.sort + if parent_select.organization + else [] + ) + ] + limit = None + if limit_exp := parent_select.limit: + try: + limit = int(str(limit_exp)) # type: ignore + except ValueError as exc: + raise ast.DJParseException( + f"LIMITs on `metrics` queries can only be integers not `{limit_exp}`.", + ) from exc + touched_nodes.add(id(col)) + + cte_name = ast.Name(f"metric_query_{len(tree.ctes)}") + + built = ( + ( + await build_metric_nodes( + session, + metric_nodes, + filters, + dimensions, + orderby, + limit, + ) + ) + .bake_ctes() + .set_alias(cte_name) + .set_as(True) + ) + built.parenthesized = True + built.compile(ctx) + for built_col in built.columns: # pragma: no cover + built_col.alias_or_name.namespace = None # pragma: no cover + for _, cur_col in curr_cols: + name = amenable_name(cur_col.identifier(False)) + ref_type = [ + col + for col in built.select.projection + if col.alias_or_name.name == name + ][0].type + + swap_col = ( + ast.Column(ast.Name(name), _type=ref_type, _table=built) + .set_alias(cur_col.alias and cur_col.alias.copy()) + .set_as(True) + ) + cur_col.swap(swap_col) + + swap_select = ast.Select( + projection=parent_select.projection, + from_=ast.From( + relations=[ast.Relation(primary=ast.Table(built.alias_or_name))], + ), + ) + parent_select.swap(swap_select) + + tree.ctes = tree.ctes + [built] + touched_nodes.add(id(built)) + touched_nodes.add(id(swap_select)) + return tree + + +def find_all_other( + node: ast.Node, + touched_nodes: Set[int], + node_map: Dict[str, List[ast.Column]], +): + """ + Find all non-Metric DJ Node references + """ + if id(node) in touched_nodes: + return + touched_nodes.add(id(node)) + if isinstance(node, ast.Column) and node.table is None: + if namespace_name := node.name.namespace: + namespace = namespace_name.identifier(False) + if namespace in node_map: + node_map[namespace].append(node) + else: + node_map[namespace] = [node] + else: + node.apply(lambda n: find_all_other(n, touched_nodes, node_map)) + + +async def resolve_all( + session: AsyncSession, + ctx: ast.CompileContext, + tree: ast.Query, + dj_nodes: List[Node], +): + """ + Resolve all references to DJ Nodes + """ + touched_nodes: Set[int] = set() + tree = await resolve_metric_queries(session, tree, ctx, touched_nodes, dj_nodes) + node_map: Dict[str, List[ast.Column]] = {} + find_all_other(tree, touched_nodes, node_map) + for namespace, cols in node_map.items(): + if dj_node := await try_get_dj_node( # pragma: no cover + session, + namespace, + {NodeType.SOURCE, NodeType.TRANSFORM, NodeType.DIMENSION}, + ): + dj_nodes.append(dj_node) + cte_name = ast.Name(f"node_query_{len(tree.ctes)}") + current_dj_node = dj_node.current + query_builder = await QueryBuilder.create(session, current_dj_node) + built = (await query_builder.build()).bake_ctes() + built.alias = cte_name + built.set_as(True) + built.parenthesized = True + await built.compile(ctx) + for cur_col in cols: + name = cur_col.name.name + ref_col = [col for col in current_dj_node.columns if col.name == name][ + 0 + ] + swap_col = ( + ast.Column(ast.Name(name), _table=built, _type=ref_col.type) + .set_alias(cur_col.alias and cur_col.alias.copy()) + .set_as(True) + ) + cur_col.swap(swap_col) + for tbl in tree.filter( + lambda node: isinstance(node, ast.Table) + and node.identifier(False) == dj_node.name, # type: ignore + ): + tbl.name = cte_name + tree.ctes = tree.ctes + [built] + built.parent = tree + return tree + + +async def build_dj_query( + session: AsyncSession, + query: str, +) -> Tuple[ast.Query, List[Node]]: + """ + Build a sql query that refers to DJ Nodes + """ + dj_nodes: List[Node] = [] # metrics first if any + ctx = ast.CompileContext(session, ast.DJException()) + tree = parse(query).bake_ctes() + tree = await resolve_all(session, ctx, tree, dj_nodes) + await tree.compile(ctx) + if not dj_nodes: + raise ast.DJParseException(f"Found no dj nodes in query `{query}`.") + return tree, dj_nodes diff --git a/datajunction-server/datajunction_server/construction/exceptions.py b/datajunction-server/datajunction_server/construction/exceptions.py new file mode 100755 index 000000000..2164f07e2 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/exceptions.py @@ -0,0 +1,59 @@ +""" +Exceptions used in construction +""" + +from typing import List, Optional + +from datajunction_server.errors import DJError, DJQueryBuildException + + +class CompoundBuildException: + """ + Exception singleton to optionally build up exceptions or raise + """ + + errors: List[DJError] + _instance: Optional["CompoundBuildException"] = None + _raise: bool = True + + def __new__(cls, *args, **kwargs): + if not cls._instance: + cls._instance = super(CompoundBuildException, cls).__new__( + cls, + *args, + **kwargs, + ) + cls.errors = [] + return cls._instance + + def reset(self): + """ + Resets the singleton + """ + self._raise = True + self.errors = [] + + def set_raise(self, raise_: bool): + """ + Set whether to raise caught exceptions or accumulate them + """ + self._raise = raise_ + + def append(self, error: DJError, message: Optional[str] = None): + """ + Accumulate DJ exceptions + """ + if self._raise: + raise DJQueryBuildException( + message=message or error.message, + errors=[error], + ) + self.errors.append(error) + + def __str__(self) -> str: + plural = "s" if len(self.errors) > 1 else "" + error = f"Found {len(self.errors)} issue{plural}:\n" + return error + "\n\n".join( + "\t" + str(type(exc).__name__) + ": " + str(exc) + "\n" + "=" * 50 + for exc in self.errors + ) diff --git a/datajunction-server/datajunction_server/construction/utils.py b/datajunction-server/datajunction_server/construction/utils.py new file mode 100755 index 000000000..a900fe923 --- /dev/null +++ b/datajunction-server/datajunction_server/construction/utils.py @@ -0,0 +1,95 @@ +""" +Utilities used around construction +""" + +from typing import TYPE_CHECKING, Optional, Set, Union + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload +from sqlalchemy.orm.exc import NoResultFound + +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.errors import DJError, DJErrorException, ErrorCode +from datajunction_server.models.node_type import NodeType + +if TYPE_CHECKING: + from datajunction_server.sql.parsing.ast import Column, Name + + +async def get_dj_node( + session: AsyncSession, + node_name: str, + kinds: Optional[Set[NodeType]] = None, + current: bool = True, +) -> NodeRevision: + """Return the DJ Node with a given name from a set of node types""" + query = select(Node).filter(Node.name == node_name) + if kinds: + query = query.filter(Node.type.in_(kinds)) # type: ignore + match = None + try: + match = ( + ( + await session.execute( + query.options( + joinedload(Node.current).options( + # Load the back-reference to Node so .node is available + # without triggering lazy loading (avoids MissingGreenlet errors) + joinedload(NodeRevision.node), + *NodeRevision.default_load_options(), + ), + ), + ) + ) + .unique() + .scalar_one() + ) + except NoResultFound as no_result_exc: + kind_msg = " or ".join(str(k) for k in kinds) if kinds else "" + raise DJErrorException( + DJError( + code=ErrorCode.UNKNOWN_NODE, + message=f"No node `{node_name}` exists of kind {kind_msg}.", + ), + ) from no_result_exc + return match.current if match and current else match + + +async def try_get_dj_node( + session: AsyncSession, + name: Union[str, "Column"], + kinds: Optional[Set[NodeType]] = None, +) -> Optional[Node]: + "wraps get dj node to return None if no node is found" + from datajunction_server.sql.parsing.ast import Column + + if isinstance(name, Column): + if name.name.namespace is not None: # pragma: no cover + name = name.name.namespace.identifier(False) # pragma: no cover + else: # pragma: no cover + return None # pragma: no cover + try: + return await get_dj_node(session, name, kinds, current=False) + except DJErrorException: + return None + + +def to_namespaced_name(name: str) -> "Name": + """ + Builds a namespaced name from a string + """ + from datajunction_server.sql.parsing.ast import Name + + chunked = name.split(".") + chunked.reverse() + current_name = None + full_name = None + for chunk in chunked: + if not current_name: + current_name = Name(chunk) + full_name = current_name + else: + current_name.namespace = Name(chunk) + current_name = current_name.namespace + return full_name # type: ignore diff --git a/datajunction-server/datajunction_server/database/__init__.py b/datajunction-server/datajunction_server/database/__init__.py new file mode 100644 index 000000000..9644b944c --- /dev/null +++ b/datajunction-server/datajunction_server/database/__init__.py @@ -0,0 +1,48 @@ +"""All database schemas.""" + +__all__ = [ + "AttributeType", + "ColumnAttribute", + "Catalog", + "Collection", + "Database", + "Deployment", + "DimensionLink", + "Engine", + "GroupMember", + "History", + "Node", + "NodeNamespace", + "NodeRevision", + "NotificationPreference", + "Partition", + "PreAggregation", + "QueryRequest", + "Role", + "RoleAssignment", + "RoleScope", + "Table", + "Tag", + "User", + "Measure", +] + +from datajunction_server.database.attributetype import AttributeType, ColumnAttribute +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.collection import Collection +from datajunction_server.database.database import Database, Table +from datajunction_server.database.deployment import Deployment +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.engine import Engine +from datajunction_server.database.group_member import GroupMember +from datajunction_server.database.measure import Measure +from datajunction_server.database.namespace import NodeNamespace +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.notification_preference import NotificationPreference +from datajunction_server.database.partition import Partition +from datajunction_server.database.preaggregation import PreAggregation +from datajunction_server.database.queryrequest import QueryRequest +from datajunction_server.database.rbac import Role, RoleAssignment, RoleScope +from datajunction_server.database.tag import Tag +from datajunction_server.database.user import User +from datajunction_server.models.history import History diff --git a/datajunction-server/datajunction_server/database/attributetype.py b/datajunction-server/datajunction_server/database/attributetype.py new file mode 100644 index 000000000..a81349a95 --- /dev/null +++ b/datajunction-server/datajunction_server/database/attributetype.py @@ -0,0 +1,119 @@ +"""Attribute type database schema.""" + +from typing import TYPE_CHECKING, List, Optional + +import sqlalchemy as sa +from sqlalchemy import UniqueConstraint, select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from datajunction_server.database.base import Base +from datajunction_server.models.attribute import MutableAttributeTypeFields + +if TYPE_CHECKING: + from datajunction_server.database.column import Column + + +class AttributeType(Base): + """ + Available attribute types for column metadata. + """ + + __tablename__ = "attributetype" + __table_args__ = (UniqueConstraint("namespace", "name"),) + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + ) + namespace: Mapped[str] = mapped_column(nullable=False, default="system") + name: Mapped[str] = mapped_column(nullable=False) + description: Mapped[str] = mapped_column(nullable=False) + allowed_node_types: Mapped[List[str]] = mapped_column(sa.JSON, nullable=True) + uniqueness_scope: Mapped[List[str]] = mapped_column(sa.JSON, nullable=True) + + def __hash__(self): + return hash(self.id) + + @classmethod + async def get_all(cls, session: AsyncSession): + """ + Get all AttributeTypes. + """ + stmt = select(cls) + result = await session.execute(stmt) + return result.scalars().all() + + @classmethod + async def get_by_name( + cls, + session: AsyncSession, + name: str, + ) -> Optional["AttributeType"]: + """ + Get an AttributeType by name. + """ + stmt = select(cls).where(cls.name == name) + result = await session.execute(stmt) + return result.unique().one_or_none() + + @classmethod + async def create( + cls, + session: AsyncSession, + new_obj: MutableAttributeTypeFields, + ) -> Optional["AttributeType"]: + """ + Get an AttributeType by name. + """ + attribute_type = AttributeType( + namespace=new_obj.namespace, + name=new_obj.name, + description=new_obj.description, + allowed_node_types=new_obj.allowed_node_types, + uniqueness_scope=new_obj.uniqueness_scope + if new_obj.uniqueness_scope + else [], + ) + session.add(attribute_type) + await session.commit() + await session.refresh(attribute_type) + return attribute_type + + +class ColumnAttribute(Base): + """ + Column attributes. + """ + + __tablename__ = "columnattribute" + __table_args__ = (UniqueConstraint("attribute_type_id", "column_id"),) + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + ) + + attribute_type_id: Mapped[int] = mapped_column( + sa.ForeignKey( + "attributetype.id", + name="fk_columnattribute_attribute_type_id_attributetype", + ondelete="CASCADE", + ), + ) + attribute_type: Mapped[AttributeType] = relationship( + foreign_keys=[attribute_type_id], + lazy="joined", + ) + + column_id: Mapped[Optional[int]] = mapped_column( + sa.ForeignKey( + "column.id", + name="fk_columnattribute_column_id_column", + ondelete="CASCADE", + ), + ) + column: Mapped[Optional["Column"]] = relationship( + back_populates="attributes", + foreign_keys=[column_id], + ) diff --git a/datajunction-server/datajunction_server/database/availabilitystate.py b/datajunction-server/datajunction_server/database/availabilitystate.py new file mode 100644 index 000000000..44252e204 --- /dev/null +++ b/datajunction-server/datajunction_server/database/availabilitystate.py @@ -0,0 +1,101 @@ +"""Availability state database schema.""" + +from datetime import datetime, timezone +from functools import partial +from typing import Any, Dict, List, Optional + +import sqlalchemy as sa +from sqlalchemy import JSON, DateTime, ForeignKey +from sqlalchemy.orm import Mapped, mapped_column + +from datajunction_server.database.base import Base +from datajunction_server.models.node import BuildCriteria, PartitionAvailability +from datajunction_server.typing import UTCDatetime + + +class AvailabilityState(Base): + """ + The availability of materialized data for a node + """ + + __tablename__ = "availabilitystate" + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + ) + + catalog: Mapped[str] + schema_: Mapped[Optional[str]] = mapped_column(nullable=True) + table: Mapped[str] + valid_through_ts: Mapped[int] = mapped_column(sa.BigInteger()) + url: Mapped[Optional[str]] + links: Mapped[Optional[Dict[str, Any]]] = mapped_column(JSON, default=dict) + + # An ordered list of categorical partitions like ["country", "group_id"] + # or ["region_id", "age_group"] + categorical_partitions: Mapped[Optional[List[str]]] = mapped_column( + JSON, + default=[], + ) + + # An ordered list of temporal partitions like ["date", "hour"] or ["date"] + temporal_partitions: Mapped[Optional[List[str]]] = mapped_column( + JSON, + default=[], + ) + + # Node-level temporal ranges + min_temporal_partition: Mapped[Optional[List[str]]] = mapped_column( + JSON, + default=[], + ) + max_temporal_partition: Mapped[Optional[List[str]]] = mapped_column( + JSON, + default=[], + ) + + # Partition-level availabilities + partitions: Mapped[Optional[List[PartitionAvailability]]] = mapped_column( + JSON, + default=[], + ) + updated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=partial(datetime.now, timezone.utc), + ) + + def is_available( + self, + criteria: Optional[BuildCriteria] = None, + ) -> bool: # pragma: no cover + """ + Determine whether an availability state is useable given criteria + """ + # TODO: we should evaluate this availability state against the criteria. + # Remember that VTTS can be also evaluated at runtime dependency. + return True + + +class NodeAvailabilityState(Base): + """ + Join table for availability state + """ + + __tablename__ = "nodeavailabilitystate" + + availability_id: Mapped[int] = mapped_column( + ForeignKey( + "availabilitystate.id", + name="fk_nodeavailabilitystate_availability_id_availabilitystate", + ), + primary_key=True, + ) + node_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_nodeavailabilitystate_node_id_noderevision", + ondelete="CASCADE", + ), + primary_key=True, + ) diff --git a/datajunction-server/datajunction_server/database/backfill.py b/datajunction-server/datajunction_server/database/backfill.py new file mode 100644 index 000000000..ed8a3d18f --- /dev/null +++ b/datajunction-server/datajunction_server/database/backfill.py @@ -0,0 +1,49 @@ +"""Backfill database schema.""" + +from typing import TYPE_CHECKING, List, Optional + +from sqlalchemy import JSON, BigInteger, ForeignKey, Integer +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from datajunction_server.database.base import Base +from datajunction_server.models.partition import PartitionBackfill + +if TYPE_CHECKING: + from datajunction_server.database.materialization import Materialization + + +class Backfill(Base): # type: ignore + """ + A backfill run is linked to a materialization config, where users provide the range + (of a temporal partition) to backfill for the node. + """ + + __tablename__ = "backfill" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + + # The column reference that this backfill is defined on + materialization_id: Mapped[int] = mapped_column( + ForeignKey( + "materialization.id", + name="fk_backfill_materialization_id_materialization", + ), + ) + materialization: Mapped["Materialization"] = relationship( + back_populates="backfills", + primaryjoin="Materialization.id==Backfill.materialization_id", + ) + + # Backfilled values and range + spec: Mapped[List[PartitionBackfill]] = mapped_column( + JSON, + default=[], + ) + + urls: Mapped[Optional[List[str]]] = mapped_column( + JSON, + default=[], + ) diff --git a/datajunction-server/datajunction_server/database/base.py b/datajunction-server/datajunction_server/database/base.py new file mode 100644 index 000000000..d11b6c976 --- /dev/null +++ b/datajunction-server/datajunction_server/database/base.py @@ -0,0 +1,58 @@ +""" +SQLAlchemy base model and custom type decorators. +""" + +from typing import Dict, List, Optional, Type, TypeVar + +from pydantic import BaseModel +from sqlalchemy import JSON +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.types import TypeDecorator + +Base = declarative_base() + +T = TypeVar("T", bound=BaseModel) + + +class PydanticListType(TypeDecorator): + """ + SQLAlchemy TypeDecorator for storing lists of Pydantic models as JSON. + + Automatically serializes Pydantic models to dicts on write and + deserializes back to Pydantic models on read. + + Usage: + measures: Mapped[List[PreAggMeasure]] = mapped_column( + PydanticListType(PreAggMeasure), + nullable=False, + ) + """ + + impl = JSON + cache_ok = True + + def __init__(self, pydantic_type: Type[T]): + super().__init__() + self.pydantic_type = pydantic_type + + def process_bind_param( + self, + value: Optional[List[T]], + dialect, + ) -> Optional[List[Dict]]: + """Serialize Pydantic models to dicts for storage.""" + if value is None: + return None + return [ + item.model_dump() if isinstance(item, BaseModel) else item for item in value + ] + + def process_result_value( + self, + value: Optional[List[Dict]], + dialect, + ) -> Optional[List[T]]: + """Deserialize dicts back to Pydantic models.""" + if value is None: + return None + return [self.pydantic_type.model_validate(item) for item in value] diff --git a/datajunction-server/datajunction_server/database/catalog.py b/datajunction-server/datajunction_server/database/catalog.py new file mode 100644 index 000000000..500b3df2b --- /dev/null +++ b/datajunction-server/datajunction_server/database/catalog.py @@ -0,0 +1,115 @@ +"""Catalog database schema.""" + +from datetime import datetime, timezone +from functools import partial +from typing import TYPE_CHECKING, Dict, List, Optional +from uuid import UUID, uuid4 + +from sqlalchemy import ( + JSON, + BigInteger, + DateTime, + ForeignKey, + Integer, + String, + UniqueConstraint, +) +from sqlalchemy.orm import Mapped, mapped_column, relationship +from sqlalchemy_utils import UUIDType +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.base import Base +from datajunction_server.database.engine import Engine +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.typing import UTCDatetime +from datajunction_server.utils import get_settings + +if TYPE_CHECKING: + from datajunction_server.database.node import NodeRevision + + +class Catalog(Base): + """ + A catalog. + """ + + __tablename__ = "catalog" + __table_args__ = (UniqueConstraint("name", name="uq_catalog_name"),) + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + uuid: Mapped[UUID] = mapped_column(UUIDType(), default=uuid4) + name: Mapped[str] = mapped_column(String) + engines: Mapped[List[Engine]] = relationship( + secondary="catalogengines", + primaryjoin="Catalog.id==CatalogEngines.catalog_id", + secondaryjoin="Engine.id==CatalogEngines.engine_id", + lazy="selectin", + ) + node_revisions: Mapped[List["NodeRevision"]] = relationship( + back_populates="catalog", + ) + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + updated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + extra_params: Mapped[Optional[Dict]] = mapped_column(JSON, default={}) + + def __str__(self) -> str: + return self.name + + def __hash__(self) -> int: + return hash(self.id) + + async def get_by_names(session: AsyncSession, names: list[str]) -> list["Catalog"]: + """ + Get catalogs by their names. + """ + statement = select(Catalog).filter(Catalog.name.in_(names)) + return (await session.execute(statement)).scalars().all() + + async def get_by_name(session: AsyncSession, name: str) -> Optional["Catalog"]: + """ + Get catalog by its name. + """ + statement = select(Catalog).where(Catalog.name == name) + return (await session.execute(statement)).scalar_one_or_none() + + async def get_virtual_catalog(session: AsyncSession) -> "Catalog": + """ + Get the virtual catalog + """ + settings = get_settings() + catalog = await Catalog.get_by_name( + session, + settings.seed_setup.virtual_catalog_name, + ) + if not catalog: + raise DJDoesNotExistException( # pragma: no cover + f"Virtual catalog {settings.seed_setup.virtual_catalog_name} does not exist.", + ) + return catalog + + +class CatalogEngines(Base): # type: ignore + """ + Join table for catalogs and engines. + """ + + __tablename__ = "catalogengines" + + catalog_id: Mapped[int] = mapped_column( + ForeignKey("catalog.id", name="fk_catalogengines_catalog_id_catalog"), + primary_key=True, + ) + engine_id: Mapped[int] = mapped_column( + ForeignKey("engine.id", name="fk_catalogengines_engine_id_engine"), + primary_key=True, + ) diff --git a/datajunction-server/datajunction_server/database/collection.py b/datajunction-server/datajunction_server/database/collection.py new file mode 100644 index 000000000..577219440 --- /dev/null +++ b/datajunction-server/datajunction_server/database/collection.py @@ -0,0 +1,88 @@ +"""Collection database schema.""" + +from datetime import datetime, timezone +from functools import partial +from typing import List, Optional + +from sqlalchemy import Column, DateTime, ForeignKey, Integer, String, select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from datajunction_server.database.base import Base +from datajunction_server.database.node import Node +from datajunction_server.database.user import User +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.typing import UTCDatetime + + +class Collection(Base): + """ + A collection of nodes + """ + + __tablename__ = "collection" + + id: Mapped[int] = mapped_column(primary_key=True) + name: Mapped[Optional[str]] = mapped_column(String, default=None, unique=True) + description: Mapped[Optional[str]] = mapped_column(String, default=None) + created_by_id: Mapped[int] = Column(Integer, ForeignKey("users.id"), nullable=False) + created_by: Mapped[User] = relationship( + "User", + back_populates="created_collections", + foreign_keys=[created_by_id], + lazy="selectin", + ) + nodes: Mapped[List[Node]] = relationship( + secondary="collectionnodes", + primaryjoin="Collection.id==CollectionNodes.collection_id", + secondaryjoin="Node.id==CollectionNodes.node_id", + lazy="selectin", + ) + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + deactivated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + nullable=True, + default=None, + ) + + def __hash__(self) -> int: + return hash(self.id) # pragma: no cover + + @classmethod + async def get_by_name( + cls, + session: AsyncSession, + name: str, + raise_if_not_exists: bool = False, + ) -> Optional["Collection"]: + """ + Get a collection by name + """ + statement = select(Collection).where(Collection.name == name) + collection = (await session.execute(statement)).scalar() + if not collection and raise_if_not_exists: + raise DJDoesNotExistException( + message=f"Collection with name `{name}` does not exist.", + http_status_code=404, + ) + return collection + + +class CollectionNodes(Base): # type: ignore + """ + Join table for collections and nodes. + """ + + __tablename__ = "collectionnodes" + + collection_id: Mapped[int] = mapped_column( + ForeignKey("collection.id", name="fk_collectionnodes_collection_id_collection"), + primary_key=True, + ) + node_id: Mapped[int] = mapped_column( + ForeignKey("node.id", name="fk_collectionnodes_node_id_node"), + primary_key=True, + ) diff --git a/datajunction-server/datajunction_server/database/column.py b/datajunction-server/datajunction_server/database/column.py new file mode 100644 index 000000000..089b0fd0a --- /dev/null +++ b/datajunction-server/datajunction_server/database/column.py @@ -0,0 +1,188 @@ +"""Column database schema.""" + +from typing import TYPE_CHECKING, List, Optional, Tuple + +from sqlalchemy import BigInteger, ForeignKey, Integer, String +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from datajunction_server.database.attributetype import ColumnAttribute +from datajunction_server.database.base import Base +from datajunction_server.models.attribute import ColumnAttributes +from datajunction_server.models.base import labelize +from datajunction_server.models.column import ColumnTypeDecorator +from datajunction_server.sql.parsing.types import ColumnType + +if TYPE_CHECKING: + from datajunction_server.database.measure import Measure + from datajunction_server.database.node import Node, NodeRevision + from datajunction_server.database.partition import Partition + + +class Column(Base): # type: ignore + """ + A column. + + Columns can be physical (associated with ``Table`` objects) or abstract (associated + with ``Node`` objects). + """ + + __tablename__ = "column" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + order: Mapped[Optional[int]] + name: Mapped[str] = mapped_column() + display_name: Mapped[Optional[str]] = mapped_column( + String, + insert_default=lambda context: labelize(context.current_parameters.get("name")), + ) + type: Mapped[Optional[ColumnType]] = mapped_column(ColumnTypeDecorator) + description: Mapped[Optional[str]] = mapped_column() + + dimension_id: Mapped[Optional[int]] = mapped_column( + ForeignKey("node.id", ondelete="SET NULL", name="fk_column_dimension_id_node"), + ) + dimension: Mapped[Optional["Node"]] = relationship( + "Node", + lazy="joined", + ) + dimension_column: Mapped[Optional[str]] = mapped_column() + + node_revision_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_column_node_revision_id", + ondelete="CASCADE", + ), + nullable=False, + ) + + node_revision: Mapped["NodeRevision"] = relationship( + "NodeRevision", + foreign_keys=[node_revision_id], + back_populates="columns", + ) + + attributes: Mapped[List["ColumnAttribute"]] = relationship( + back_populates="column", + lazy="selectin", + cascade="all,delete", + ) + measure_id: Mapped[Optional[int]] = mapped_column( + ForeignKey( + "measures.id", + name="fk_column_measure_id_measures", + ondelete="SET NULL", + ), + ) + measure: Mapped["Measure"] = relationship(back_populates="columns") + + partition_id: Mapped[Optional[int]] = mapped_column( + ForeignKey( + "partition.id", + name="fk_column_partition_id_partition", + ondelete="SET NULL", + ), + ) + partition: Mapped["Partition"] = relationship( + lazy="joined", + primaryjoin="Column.id==Partition.column_id", + uselist=False, + cascade="all,delete", + ) + + def to_spec(self): + from datajunction_server.models.deployment import ColumnSpec + + return ColumnSpec( + name=self.name, + type=str(self.type), + display_name=self.display_name, + description=self.description, + attributes=self.attribute_names(), + partition=self.partition.to_spec() if self.partition else None, + ) + + def identifier(self) -> Tuple[str, ColumnType]: + """ + Unique identifier for this column. + """ + return self.name, self.type + + def is_dimensional(self) -> bool: + """ + Whether this column is considered dimensional + """ + return ( # pragma: no cover + self.has_dimension_attribute() + or self.has_primary_key_attribute() + or self.dimension + ) + + def has_dimension_attribute(self) -> bool: + """ + Whether the dimension attribute is set on this column. + """ + return self.has_attribute("dimension") # pragma: no cover + + def has_primary_key_attribute(self) -> bool: + """ + Whether the primary key attribute is set on this column. + """ + return self.has_attribute(ColumnAttributes.PRIMARY_KEY.value) + + def has_attribute(self, attribute_name: str) -> bool: + """ + Whether the given attribute is set on this column. + """ + return any( + attr.attribute_type.name == attribute_name for attr in self.attributes + ) + + def attribute_names(self) -> list[str]: + """ + A list of column attribute names + """ + return [attr.attribute_type.name for attr in self.attributes] + + def has_attributes_besides(self, attribute_name: str) -> bool: + """ + Whether the column has any attribute besides the one specified. + """ + return any( + attr.attribute_type.name != attribute_name for attr in self.attributes + ) + + def __hash__(self) -> int: + return hash(self.id) + + def full_name(self) -> str: + """ + Full column name that includes the node it belongs to, i.e., default.hard_hat.first_name + """ + return f"{self.node_revision.name}.{self.name}" # type: ignore # pragma: no cover + + def copy(self) -> "Column": + """ + Returns a full copy of the column + """ + return Column( + order=self.order, + name=self.name, + display_name=self.display_name, + type=self.type, + description=self.description, + dimension_id=self.dimension_id, + dimension_column=self.dimension_column, + attributes=[ + ColumnAttribute( + attribute_type_id=attr.attribute_type_id, + attribute_type=attr.attribute_type, + ) + for attr in self.attributes + ], + measure_id=self.measure_id, + partition_id=self.partition_id, + ) diff --git a/datajunction-server/datajunction_server/database/database.py b/datajunction-server/datajunction_server/database/database.py new file mode 100644 index 000000000..4f2008d6f --- /dev/null +++ b/datajunction-server/datajunction_server/database/database.py @@ -0,0 +1,129 @@ +"""Database schema""" + +from datetime import datetime, timezone +from functools import partial +from typing import TYPE_CHECKING, Dict, List, Optional, Tuple +from uuid import UUID, uuid4 + +from sqlalchemy import JSON, BigInteger, DateTime, ForeignKey, Integer, String +from sqlalchemy.orm import Mapped, mapped_column, relationship +from sqlalchemy_utils import UUIDType + +from datajunction_server.database.base import Base +from datajunction_server.typing import UTCDatetime + +if TYPE_CHECKING: + from datajunction_server.database.column import Column + + +class Database(Base): + """ + A database. + + A simple example: + + name: druid + description: An Apache Druid database + URI: druid://localhost:8082/druid/v2/sql/ + read-only: true + async_: false + cost: 1.0 + + """ + + __tablename__ = "database" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + uuid: Mapped[UUID] = mapped_column(UUIDType(), default=uuid4) + + name: Mapped[str] = mapped_column(String, unique=True) + description: Mapped[Optional[str]] = mapped_column(String, default="") + URI: Mapped[str] + extra_params: Mapped[Optional[Dict]] = mapped_column(JSON, default={}) + read_only: Mapped[bool] = mapped_column(default=True) + async_: Mapped[bool] = mapped_column(default=False, name="async") + cost: Mapped[float] = mapped_column(default=1.0) + + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=partial(datetime.now, timezone.utc), + ) + updated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=partial(datetime.now, timezone.utc), + ) + + tables: Mapped[List["Table"]] = relationship( + back_populates="database", + cascade="all, delete", + ) + + def __hash__(self) -> int: + return hash(self.id) + + +class Table(Base): + """ + A table with data. + + Nodes can have data in multiple tables, in different databases. + """ + + __tablename__ = "table" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + + schema: Mapped[Optional[str]] = mapped_column(default=None, name="schema_") + table: Mapped[str] + cost: Mapped[float] = mapped_column(default=1.0) + + database_id: Mapped[int] = mapped_column( + ForeignKey("database.id", name="fk_table_database_id_database"), + ) + database: Mapped["Database"] = relationship("Database", back_populates="tables") + + columns: Mapped[List["Column"]] = relationship( + secondary="tablecolumns", + primaryjoin="Table.id==TableColumns.table_id", + secondaryjoin="Column.id==TableColumns.column_id", + cascade="all, delete", + ) + + def identifier( + self, + ) -> Tuple[Optional[str], Optional[str], str]: # pragma: no cover + """ + Unique identifier for this table. + """ + # Catalogs will soon be required and this return can be simplified + return ( + self.catalog.name if self.catalog else None, + self.schema_, + self.table, + ) + + def __hash__(self): + return hash(self.id) + + +class TableColumns(Base): + """ + Join table for table columns. + """ + + __tablename__ = "tablecolumns" + + table_id: Mapped[int] = mapped_column( + ForeignKey("table.id", name="fk_tablecolumns_table_id_table"), + primary_key=True, + ) + column_id: Mapped[int] = mapped_column( + ForeignKey("column.id", name="fk_tablecolumns_column_id_column"), + primary_key=True, + ) diff --git a/datajunction-server/datajunction_server/database/deployment.py b/datajunction-server/datajunction_server/database/deployment.py new file mode 100644 index 000000000..8c0d9cc5b --- /dev/null +++ b/datajunction-server/datajunction_server/database/deployment.py @@ -0,0 +1,71 @@ +from uuid import UUID, uuid4 +from sqlalchemy import String, Enum, JSON, DateTime, Index +from datetime import datetime +from datajunction_server.models.deployment import ( + DeploymentResult, + DeploymentSpec, + DeploymentStatus, +) +from sqlalchemy import JSON, DateTime, ForeignKey, String +from sqlalchemy.orm import Mapped, mapped_column, relationship +from sqlalchemy_utils import UUIDType +from datajunction_server.typing import UTCDatetime +from datajunction_server.database.user import User +from datetime import datetime, timezone +from functools import partial +from datajunction_server.database.base import Base + + +class Deployment(Base): + __tablename__ = "deployments" + + __table_args__ = ( + # For queries filtering by namespace + status, ordered by created_at + Index( + "ix_deployments_namespace_status_created", + "namespace", + "status", + "created_at", + ), + # For queries filtering by just namespace + Index("ix_deployments_namespace", "namespace"), + ) + + uuid: Mapped[UUID] = mapped_column(UUIDType(), default=uuid4, primary_key=True) + + namespace: Mapped[str] = mapped_column(String) + status: Mapped[DeploymentStatus] = mapped_column( + Enum(DeploymentStatus), + default=DeploymentStatus.PENDING, + ) + spec: Mapped[dict] = mapped_column(JSON, default={}) + results: Mapped[dict] = mapped_column(JSON, default={}) + + created_by_id: Mapped[int] = mapped_column(ForeignKey("users.id"), nullable=False) + created_by: Mapped[User] = relationship("User", lazy="selectin") + + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=partial(datetime.now, timezone.utc), + ) + updated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=lambda: datetime.now(timezone.utc), + onupdate=lambda: datetime.now(timezone.utc), + ) + + @property + def deployment_spec(self) -> DeploymentSpec: + return DeploymentSpec(**self.spec) # pragma: no cover + + @deployment_spec.setter + def deployment_spec(self, value: DeploymentSpec): + self.spec = value.model_dump() # pragma: no cover + + @property + def deployment_results(self) -> list[DeploymentResult]: + return [DeploymentResult(**result) for result in self.results] + + @deployment_results.setter + def deployment_results(self, value: list[DeploymentResult]): + self.results = [result.model_dump() for result in value] # pragma: no cover diff --git a/datajunction-server/datajunction_server/database/dimensionlink.py b/datajunction-server/datajunction_server/database/dimensionlink.py new file mode 100644 index 000000000..9c727bebd --- /dev/null +++ b/datajunction-server/datajunction_server/database/dimensionlink.py @@ -0,0 +1,201 @@ +"""Dimension links table.""" + +from functools import cached_property +from typing import TYPE_CHECKING, Dict, List, Optional, Set + +from sqlalchemy import JSON, BigInteger, Enum, ForeignKey, Index, Integer +from sqlalchemy.ext.hybrid import hybrid_property +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from datajunction_server.database.base import Base +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.models.dimensionlink import JoinCardinality, JoinType +from datajunction_server.utils import SEPARATOR + +if TYPE_CHECKING: + from datajunction_server.sql.parsing.backends.antlr4 import ast + + +class DimensionLink(Base): + """ + The join definition between a given node (source, dimension, or transform) + and a dimension node. + """ + + __tablename__ = "dimensionlink" + __table_args__ = ( + Index("idx_dimensionlink_node_revision_id", "node_revision_id"), + Index("idx_dimensionlink_dimension_id", "dimension_id"), + ) + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + + # A dimension node may be linked in multiple times to a given source, dimension, + # or transform node, with each link referencing a different conceptual role. + # One such example is a dimension node "default.users" that has "birth_date" and + # "registration_date" as fields. "default.users" will be linked to the "default.date" + # dimension twice, once per field, but each dimension link will have different roles. + role: Mapped[Optional[str]] + + node_revision_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_dimensionlink_node_revision_id_noderevision", + ondelete="CASCADE", + ), + ) + node_revision: Mapped[NodeRevision] = relationship( + "NodeRevision", + foreign_keys=[node_revision_id], + back_populates="dimension_links", + ) + dimension_id: Mapped[int] = mapped_column( + ForeignKey( + "node.id", + name="fk_dimensionlink_dimension_id_node", + ondelete="CASCADE", + ), + ) + dimension: Mapped[Node] = relationship( + "Node", + foreign_keys=[dimension_id], + lazy="joined", + ) + + # SQL used to join the two nodes + join_sql: Mapped[str] + + # Metadata about the join + join_type: Mapped[Optional[JoinType]] + join_cardinality: Mapped[JoinCardinality] = mapped_column( + Enum(JoinCardinality), + default=JoinCardinality.MANY_TO_ONE, + ) + + # Additional materialization settings that are needed in order to do this join + materialization_conf: Mapped[Optional[Dict]] = mapped_column(JSON, default={}) + + def to_spec(self): + from datajunction_server.models.deployment import DimensionJoinLinkSpec + + return DimensionJoinLinkSpec( + role=self.role, + dimension_node=self.dimension.name, + join_on=self.join_sql, + join_type=self.join_type if self.join_type else JoinType.LEFT, + ) + + @classmethod + def parse_join_type(cls, join_type: str) -> Optional[JoinType]: + """ + Parse a join type string into an enum value. + """ + join_type = join_type.strip().upper() + join_mapping = {e.name: e for e in JoinType} + for key, value in join_mapping.items(): + if key in join_type: + return value + return JoinType.LEFT # pragma: no cover + + def join_sql_ast(self) -> "ast.Query": + """ + The join query AST for this dimension link + """ + from datajunction_server.sql.parsing.backends.antlr4 import parse + + return parse( + f"select 1 from {self.node_revision.name} " + f"{self.join_type} join {self.dimension.name} " + + (f"on {self.join_sql}" if self.join_sql else ""), + ) + + def joins(self) -> List["ast.Join"]: + """ + The join ASTs for this dimension link + """ + join_sql = self.join_sql_ast() + return join_sql.select.from_.relations[-1].extensions # type: ignore + + def foreign_key_mapping(self) -> Dict["ast.Column", "ast.Column"]: + """ + If the dimension link was configured with an equality operation on the + dimension's primary key columns to a set of foreign key columns, this method + returns a mapping between the foreign keys on the node and the primary keys of + the dimension based on the join SQL. + """ + from datajunction_server.sql.parsing.backends.antlr4 import ast + + # Find equality comparions (i.e., fact.order_id = dim.order_id) + join_asts = self.joins() + equality_comparisons = ( + [ + expr + for expr in join_asts[0].criteria.on.find_all(ast.BinaryOp) # type: ignore + if expr.op == ast.BinaryOpKind.Eq + ] + if join_asts[0].criteria + else [] + ) + mapping = {} + for comp in equality_comparisons: + if isinstance(comp.left, ast.Column) and isinstance( + comp.right, + ast.Column, + ): # pragma: no cover + node_left = comp.left.name.namespace.identifier() # type: ignore + node_right = comp.right.name.namespace.identifier() # type: ignore + if node_left == self.node_revision.name: # pragma: no cover + mapping[comp.right] = comp.left + if node_right == self.node_revision.name: # pragma: no cover + mapping[comp.left] = comp.right # pragma: no cover + return mapping + + @hybrid_property + def foreign_keys(self) -> Dict[str, str | None]: + """ + Returns a mapping from the foreign key column(s) on the origin node to + the primary key column(s) on the dimension node. The dict values are column names. + """ + from datajunction_server.sql.parsing.backends.antlr4 import ast + + # Build equality operator-based mappings + join_asts = self.joins() + mapping: dict[str, str | None] = { + right.identifier(): left.identifier() + for left, right in self.foreign_key_mapping().items() + } + + # Add remaining foreign key references without an equality comparison + columns = [col.identifier() for col in join_asts[0].find_all(ast.Column)] + foreign_key_refs = [ + col for col in columns if col.startswith(self.node_revision.name) + ] + for foreign_key in foreign_key_refs: + if foreign_key not in mapping: + mapping[foreign_key] = None + return mapping + + @hybrid_property + def foreign_key_column_names(self) -> Set[str]: + """ + Returns a set of foreign key column names + """ + + return { + fk.replace(f"{self.node_revision.name}{SEPARATOR}", "") + for fk in self.foreign_keys.keys() + } + + @cached_property + def foreign_keys_reversed(self): + """ + Returns a mapping from the primary key column(s) on the dimension node to the + foreign key column(s) on the origin node. The dict values are column names. + """ + return { + left.identifier(): right.identifier() + for left, right in self.foreign_key_mapping().items() + } diff --git a/datajunction-server/datajunction_server/database/engine.py b/datajunction-server/datajunction_server/database/engine.py new file mode 100644 index 000000000..154c1ad83 --- /dev/null +++ b/datajunction-server/datajunction_server/database/engine.py @@ -0,0 +1,57 @@ +"""Engine database schema.""" + +from typing import Optional + +import sqlalchemy as sa +from sqlalchemy.orm import Mapped, mapped_column +from sqlalchemy import UniqueConstraint, select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.base import Base +from datajunction_server.models.dialect import Dialect + + +class DialectType(sa.TypeDecorator): + impl = sa.String + + def process_bind_param(self, value, dialect): + if isinstance(value, Dialect): + return value.name + return value + + def process_result_value(self, value, dialect): + return Dialect(value) if value else None + + +class Engine(Base): + """ + A query engine. + """ + + __tablename__ = "engine" + __table_args__ = ( + UniqueConstraint("name", "version", name="uq_engine_name_version"), + ) + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + ) + name: Mapped[str] + version: Mapped[str] + uri: Mapped[Optional[str]] + dialect: Mapped[Optional[Dialect]] = mapped_column(DialectType()) + + async def get_by_names(session: AsyncSession, names: list[str]) -> list["Engine"]: + """ + Get engines by their names. + """ + statement = select(Engine).filter(Engine.name.in_(names)) + return (await session.execute(statement)).scalars().all() + + async def get_by_name(session: AsyncSession, name: str) -> "Engine": + """ + Get an engine by its name. + """ + statement = select(Engine).where(Engine.name == name) + return (await session.execute(statement)).scalar_one_or_none() diff --git a/datajunction-server/datajunction_server/database/group_member.py b/datajunction-server/datajunction_server/database/group_member.py new file mode 100644 index 000000000..b58c36dae --- /dev/null +++ b/datajunction-server/datajunction_server/database/group_member.py @@ -0,0 +1,67 @@ +"""Group membership database schema.""" + +from datetime import datetime, timezone +from functools import partial + +from sqlalchemy import ( + CheckConstraint, + DateTime, + ForeignKey, + Index, +) +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from datajunction_server.database.base import Base +from datajunction_server.typing import UTCDatetime + + +class GroupMember(Base): + """ + Join table for groups and their members (users or service accounts). + + Note: This table is used by the Postgres group membership provider. + Deployments using external identity systems (LDAP, SAML etc.) + may leave this table empty and resolve membership externally. + """ + + __tablename__ = "group_members" + __table_args__ = ( + Index("idx_group_members_group_id", "group_id"), + Index("idx_group_members_member_id", "member_id"), + CheckConstraint( + "group_id != member_id", + name="chk_no_self_membership", + ), + ) + + group_id: Mapped[int] = mapped_column( + ForeignKey( + "users.id", + name="fk_group_members_group_id", + ondelete="CASCADE", + ), + primary_key=True, + ) + member_id: Mapped[int] = mapped_column( + ForeignKey( + "users.id", + name="fk_group_members_member_id", + ondelete="CASCADE", + ), + primary_key=True, + ) + added_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + + group = relationship( + "User", + foreign_keys=[group_id], + viewonly=True, + ) + member = relationship( + "User", + foreign_keys=[member_id], + viewonly=True, + ) diff --git a/datajunction-server/datajunction_server/database/hierarchy.py b/datajunction-server/datajunction_server/database/hierarchy.py new file mode 100644 index 000000000..f2d49b798 --- /dev/null +++ b/datajunction-server/datajunction_server/database/hierarchy.py @@ -0,0 +1,324 @@ +"""Hierarchy database schema.""" + +from datetime import datetime, timezone +from functools import partial +from typing import TYPE_CHECKING, List, Optional + +from sqlalchemy import ( + BigInteger, + DateTime, + ForeignKey, + Integer, + String, + JSON, + Text, + select, + UniqueConstraint, +) +from sqlalchemy.orm import Mapped, mapped_column, relationship, selectinload +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.base import Base +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.models.dimensionlink import JoinCardinality +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.base import labelize +from datajunction_server.typing import UTCDatetime +from datajunction_server.models.hierarchy import HierarchyLevelInput + +if TYPE_CHECKING: + from datajunction_server.database.history import History + + +class Hierarchy(Base): # type: ignore + """ + Database model for dimensional hierarchies. + + A hierarchy defines an ordered set of dimension nodes that form + a hierarchical relationship for drill-down/roll-up operations. + """ + + __tablename__ = "hierarchies" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + name: Mapped[str] = mapped_column(String, unique=True, nullable=False) + display_name: Mapped[Optional[str]] = mapped_column( + String, + insert_default=lambda context: labelize(context.current_parameters.get("name")), + ) + description: Mapped[Optional[str]] = mapped_column(Text) + + # Audit fields + created_by_id: Mapped[int] = mapped_column( + ForeignKey("users.id"), + nullable=False, + ) + created_by: Mapped[User] = relationship( + "User", + foreign_keys=[created_by_id], + lazy="selectin", + ) + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + + # Relationships + levels: Mapped[List["HierarchyLevel"]] = relationship( + back_populates="hierarchy", + cascade="all, delete-orphan", + order_by="HierarchyLevel.level_order", + ) + + history: Mapped[List["History"]] = relationship( + primaryjoin="History.entity_name==Hierarchy.name", + order_by="History.created_at", + foreign_keys="History.entity_name", + viewonly=True, + ) + + def __repr__(self): + return f"" + + @classmethod + async def get_by_name( + cls, + session: AsyncSession, + name: str, + ) -> Optional["Hierarchy"]: + """Get a hierarchy by name with its levels loaded.""" + result = await session.execute( + select(Hierarchy) + .options( + selectinload(Hierarchy.levels).selectinload( + HierarchyLevel.dimension_node, + ), + selectinload(Hierarchy.created_by), + ) + .where(Hierarchy.name == name), + ) + return result.scalar_one_or_none() + + @classmethod + async def get_by_id( + cls, + session: AsyncSession, + hierarchy_id: int, + ) -> Optional["Hierarchy"]: + """Get a hierarchy by ID with its levels loaded.""" + result = await session.execute( + select(Hierarchy) + .options( + selectinload(Hierarchy.levels).selectinload( + HierarchyLevel.dimension_node, + ), + selectinload(Hierarchy.created_by), + ) + .where(cls.id == hierarchy_id), + ) + return result.scalar_one_or_none() + + @classmethod + async def list_all( + cls, + session: AsyncSession, + limit: int = 100, + offset: int = 0, + ) -> List["Hierarchy"]: + """List all hierarchies with their levels and created_by info loaded.""" + result = await session.execute( + select(cls) + .options( + selectinload(cls.levels), + selectinload(cls.created_by), + ) + .limit(limit) + .offset(offset), + ) + return list(result.scalars().all()) + + @classmethod + async def get_using_dimension( + cls, + session: AsyncSession, + dimension_node_id: int, + ) -> List["Hierarchy"]: + """Get all hierarchies that use a specific dimension node.""" + result = await session.execute( + select(cls) + .join(HierarchyLevel) + .options(selectinload(cls.levels)) + .where(HierarchyLevel.dimension_node_id == dimension_node_id), + ) + return list(result.scalars().all()) + + @classmethod + async def validate_levels( + cls, + session: AsyncSession, + levels: list[HierarchyLevelInput], + ) -> tuple[list[str], dict[str, Node]]: + """ + Validate hierarchy level definitions and return any validation errors. + """ + errors = [] + existing_nodes: dict[str, Node] = {} + + # Check for unique level names + names = [level.name for level in levels] + if len(set(names)) != len(names): + errors.append("Level names must be unique") + + # Resolve dimension node names to IDs and validate they exist (single DB call) + dimension_node_names = [level.dimension_node for level in levels] + existing_nodes = { + node.name: node + for node in await Node.get_by_names(session, dimension_node_names) + } + + # Check each level's dimension node and resolve to IDs + for level in levels: + node_name = level.dimension_node + if node_name not in existing_nodes: + errors.append( + f"Level '{level.name}': Dimension node '{node_name}' does not exist", + ) + continue + + if existing_nodes[node_name].type != NodeType.DIMENSION: + errors.append( + f"Level '{level.name}': Node '{node_name}' " + f"is not a dimension node (type: {existing_nodes[node_name].type})", + ) + continue + + # For multi-dimension hierarchies, validate dimension FK relationships + for i in range(len(levels) - 1): + current_level = levels[i] + next_level = levels[i + 1] + + # Skip if nodes are the same (single-dimension hierarchy section) + if current_level.dimension_node == next_level.dimension_node: + continue + + parent_node = existing_nodes.get(current_level.dimension_node) + child_node = existing_nodes.get(next_level.dimension_node) + # Check if there's a valid dimension link from child to parent + if child_node and parent_node: + valid_link, link_errors = await cls.has_valid_hierarchy_link_to( + session, + child_node=child_node, + parent_node=parent_node, + ) + errors += link_errors + return errors, existing_nodes + + @classmethod + async def has_valid_hierarchy_link_to( + cls, + session: AsyncSession, + child_node: Node, + parent_node: Node, + ) -> tuple[bool, list[str]]: + """ + Validate hierarchical dimension link between child and parent nodes. + """ + # Get dimension links + result = await session.execute( + select( + DimensionLink.join_cardinality, + DimensionLink.join_type, + DimensionLink.join_sql, + ) + .join(NodeRevision, DimensionLink.node_revision_id == NodeRevision.id) + .where( + NodeRevision.node_id == child_node.id, + DimensionLink.dimension_id == parent_node.id, + ), + ) + + links = result.all() + messages = [] + + if not links: + return False, [ + f"No dimension link exists between {child_node.name} and {parent_node.name}", + ] + + # Validate cardinality (hard requirement) + valid_links = [link for link in links if link[0] == JoinCardinality.MANY_TO_ONE] + if not valid_links: + return False, ["Invalid cardinality (expected MANY_TO_ONE)"] + + # Check if join_sql references parent's primary key + for cardinality, join_type, join_sql in valid_links: + join_sql_lower = join_sql.lower() + parent_name_lower = parent_node.name.lower() + + # Simple heuristic: check if PK columns are mentioned in join + parent_pk_columns = [col.name for col in parent_node.current.primary_key()] + print( + "searching for pk cols", + [ + f"{parent_name_lower}.{pk_col.lower()}" + for pk_col in parent_pk_columns + ], + "in", + join_sql_lower, + ) + pk_referenced = any( + f"{parent_name_lower}.{pk_col.lower()}" in join_sql_lower + for pk_col in parent_pk_columns + ) + + if not pk_referenced: + messages.append( + f"WARN: Join SQL may not reference parent's primary key columns {parent_pk_columns}. " + f"Join: {join_sql}", + ) + + return True, messages + + +class HierarchyLevel(Base): # type: ignore + """ + Database model for individual levels within a hierarchy. + + Each level references a dimension node and defines its position + in the hierarchical ordering. + """ + + __tablename__ = "hierarchy_levels" + __table_args__ = (UniqueConstraint("hierarchy_id", "name"),) + + id: Mapped[int] = mapped_column(BigInteger(), primary_key=True) + + hierarchy_id: Mapped[int] = mapped_column( + BigInteger(), + ForeignKey("hierarchies.id"), + nullable=False, + ) + hierarchy: Mapped["Hierarchy"] = relationship(back_populates="levels") + + name: Mapped[str] = mapped_column(String, nullable=False) + + dimension_node_id: Mapped[int] = mapped_column( + BigInteger(), + ForeignKey("node.id"), + nullable=False, + ) + dimension_node: Mapped["Node"] = relationship("Node") + + level_order: Mapped[int] = mapped_column(Integer, nullable=False) + + # Optional: For single-dimension hierarchies where multiple levels + # reference the same dimension node but use different grain columns + grain_columns: Mapped[Optional[List[str]]] = mapped_column(JSON) + + def __repr__(self): + return f"" diff --git a/datajunction-server/datajunction_server/database/history.py b/datajunction-server/datajunction_server/database/history.py new file mode 100644 index 000000000..6cc12d0dc --- /dev/null +++ b/datajunction-server/datajunction_server/database/history.py @@ -0,0 +1,59 @@ +"""History database schema.""" + +from datetime import datetime, timezone +from functools import partial +from typing import Any, Dict, Optional + +from sqlalchemy import ( + JSON, + BigInteger, + DateTime, + Enum, + Index, + Integer, + String, +) +from sqlalchemy.orm import Mapped, mapped_column + +from datajunction_server.database.base import Base +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.typing import UTCDatetime + + +class History(Base): + """ + An event to store as part of the server's activity history + """ + + __tablename__ = "history" + __table_args__ = ( + Index("ix_history_entity_name", "entity_name", postgresql_using="btree"), + Index("ix_history_user", "user", postgresql_using="btree"), + ) + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + entity_type: Mapped[Optional[EntityType]] = mapped_column( + Enum(EntityType), + default=None, + ) + entity_name: Mapped[Optional[str]] = mapped_column(String, default=None) + node: Mapped[Optional[str]] = mapped_column(String, default=None) + version: Mapped[Optional[str]] = mapped_column(String, default=None) + activity_type: Mapped[Optional[ActivityType]] = mapped_column( + Enum(ActivityType), + default=None, + ) + user: Mapped[Optional[str]] = mapped_column(String, default=None) + pre: Mapped[Optional[Dict[str, Any]]] = mapped_column(JSON, default=dict) + post: Mapped[Optional[Dict[str, Any]]] = mapped_column(JSON, default=dict) + details: Mapped[Optional[Dict[str, Any]]] = mapped_column(JSON, default=dict) + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + + def __hash__(self) -> int: + return hash(self.id) diff --git a/datajunction-server/datajunction_server/database/materialization.py b/datajunction-server/datajunction_server/database/materialization.py new file mode 100644 index 000000000..1ba3e5c2d --- /dev/null +++ b/datajunction-server/datajunction_server/database/materialization.py @@ -0,0 +1,130 @@ +"""Materialization database schema.""" + +from typing import TYPE_CHECKING, List, Optional, Union + +import sqlalchemy as sa +from sqlalchemy import ( + JSON, + DateTime, + Enum, + ForeignKey, + String, + UniqueConstraint, + and_, + select, +) +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import Mapped, joinedload, mapped_column, relationship + +from datajunction_server.database.backfill import Backfill +from datajunction_server.database.base import Base +from datajunction_server.database.column import Column +from datajunction_server.models.materialization import ( + DruidMeasuresCubeConfig, + GenericMaterializationConfig, + MaterializationStrategy, +) +from datajunction_server.models.cube_materialization import DruidCubeV3Config +from datajunction_server.typing import UTCDatetime + +if TYPE_CHECKING: + from datajunction_server.database.node import NodeRevision + + +class Materialization(Base): + """ + Materialization configured for a node. + """ + + __tablename__ = "materialization" + __table_args__ = ( + UniqueConstraint( + "name", + "node_revision_id", + name="name_node_revision_uniq", + ), + ) + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + autoincrement=True, + ) + + node_revision_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_materialization_node_revision_id_noderevision", + ondelete="CASCADE", + ), + ) + node_revision: Mapped["NodeRevision"] = relationship( + "NodeRevision", + back_populates="materializations", + passive_deletes=True, + ) + + name: Mapped[str] + + strategy: Mapped[Optional[MaterializationStrategy]] = mapped_column( + Enum(MaterializationStrategy), + ) + + # A cron schedule to materialize this node by + schedule: Mapped[str] + + # Arbitrary config relevant to the materialization job + config: Mapped[ + Union[GenericMaterializationConfig, DruidMeasuresCubeConfig, DruidCubeV3Config] + ] = mapped_column( + JSON, + default={}, + ) + + # The name of the plugin that handles materialization, if any + job: Mapped[str] = mapped_column( + String, + default="MaterializationJob", + ) + + deactivated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + nullable=True, + default=None, + ) + + backfills: Mapped[List[Backfill]] = relationship( + back_populates="materialization", + primaryjoin="Materialization.id==Backfill.materialization_id", + cascade="all, delete", + lazy="selectin", + ) + + @classmethod + async def get_by_names( + cls, + session: AsyncSession, + node_revision_id: int, + materialization_names: List[str], + ) -> List["Materialization"]: + """ + Get materializations by name and node revision id. + """ + from datajunction_server.database.node import NodeRevision + + statement = ( + select(cls) + .where( + and_( + cls.name.in_(materialization_names), + cls.node_revision_id == node_revision_id, + ), + ) + .options( + joinedload(cls.node_revision).options( + joinedload(NodeRevision.columns).joinedload(Column.partition), + ), + ) + ) + result = await session.execute(statement) + return result.unique().scalars().all() diff --git a/datajunction-server/datajunction_server/database/measure.py b/datajunction-server/datajunction_server/database/measure.py new file mode 100644 index 000000000..d4eb5dce2 --- /dev/null +++ b/datajunction-server/datajunction_server/database/measure.py @@ -0,0 +1,226 @@ +"""Measure database schema.""" + +from typing import List, Optional + +from sqlalchemy import ( + BigInteger, + Enum, + ForeignKey, + Integer, + String, + JSON, + TypeDecorator, + select, +) +from sqlalchemy.orm import Mapped, mapped_column, relationship, selectinload +from sqlalchemy.ext.asyncio import AsyncSession +from datajunction_server.database.base import Base +from datajunction_server.database.column import Column +from datajunction_server.models.base import labelize +from datajunction_server.models.measure import AggregationRule +from datajunction_server.database.node import NodeRevision +from datajunction_server.models.cube_materialization import ( + AggregationRule as MeasureAggregationRule, +) + + +class Measure(Base): # type: ignore + """ + Measure class. + + Measure is a basic data modelling concept that helps with making Metric nodes portable, + that is, so they can be computed on various DJ nodes using the same Metric definitions. + + By default, if a node column is not a Dimension or Dimension attribute then it should + be a Measure. + """ + + __tablename__ = "measures" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + name: Mapped[str] = mapped_column(unique=True) + display_name: Mapped[Optional[str]] = mapped_column( + String, + insert_default=lambda context: labelize(context.current_parameters.get("name")), + ) + description: Mapped[Optional[str]] + columns: Mapped[List["Column"]] = relationship( + back_populates="measure", + lazy="joined", + ) + additive: Mapped[AggregationRule] = mapped_column( + Enum(AggregationRule), + default=AggregationRule.NON_ADDITIVE, + ) + + +class MeasureAggregationRuleType(TypeDecorator): + impl = JSON + + def process_bind_param(self, value, dialect): + if value is None: + return None # pragma: no cover + if isinstance(value, MeasureAggregationRule): + return value.model_dump() + raise ValueError( # pragma: no cover + f"Expected AggregationRule, got {type(value)}", + ) + + def process_result_value(self, value, dialect): + if value is None: + return None # pragma: no cover + if isinstance(value, str): + return MeasureAggregationRule.model_validate_json(value) # pragma: no cover + return MeasureAggregationRule.model_validate(value) + + +class FrozenMeasure(Base): + """ + A frozen measure represents a binding of a measure expression and aggregation rule + to a specific node revision in the data graph. + """ + + __tablename__ = "frozen_measures" + + id: Mapped[int] = mapped_column(BigInteger(), primary_key=True) + + # Stable, versioned name used in compiled SQL + name: Mapped[str] = mapped_column(unique=True) + + # TODO: Link to the abstract measure definition, which could reference multiple + # frozen measures. This lets us track semantic meaning vs. physical binding. + # measure_id: Mapped[int] = mapped_column(ForeignKey("measures.id")) + + # The specific versioned node this measure binds to, and guarantees that the expression + # resolves safely against this schema. + upstream_revision_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_frozen_measure_upstream_revision_id_noderevision", + ondelete="CASCADE", + ), + ) + upstream_revision: Mapped["NodeRevision"] = relationship( + "NodeRevision", + lazy="selectin", + ) + + # A logical SQL expression + expression: Mapped[str] + + # How to aggregate the resolved expression (e.g., SUM, COUNT, AVG) + aggregation: Mapped[str] + + # Additivity or rollup rule - tells the planner if this measure can be summed, + # needs special handling, or is non-additive. + rule: Mapped[MeasureAggregationRule] = mapped_column(MeasureAggregationRuleType) + + # Associated node revisions that use this measure + used_by_node_revisions: Mapped[list["NodeRevision"]] = relationship( + secondary="node_revision_frozen_measures", + back_populates="frozen_measures", + lazy="selectin", + ) + + def __repr__(self) -> str: + return ( + f"" + ) + + @classmethod + async def get_by_name( + cls, + session: AsyncSession, + name: str, + ) -> Optional["FrozenMeasure"]: + """ + Get a measure by name + """ + statement = ( + select(FrozenMeasure) + .where(FrozenMeasure.name == name) + .options( + selectinload(FrozenMeasure.used_by_node_revisions), + ) + ) + result = await session.execute(statement) + return result.unique().scalar_one_or_none() + + @classmethod + async def get_by_names( + cls, + session: AsyncSession, + names: list[str], + ) -> list["FrozenMeasure"]: + """ + Get multiple measures by names in a single query. + """ + if not names: + return [] # pragma: no cover + statement = ( + select(FrozenMeasure) + .where(FrozenMeasure.name.in_(names)) + .options( + selectinload(FrozenMeasure.used_by_node_revisions), + ) + ) + result = await session.execute(statement) + return list(result.unique().scalars().all()) + + @classmethod + async def find_by( + cls, + session: AsyncSession, + prefix: Optional[str] = None, + aggregation: Optional[str] = None, + upstream_name: Optional[str] = None, + upstream_version: Optional[str] = None, + ) -> list["FrozenMeasure"]: + """ + Find frozen measure by search params + """ + stmt = select(FrozenMeasure) + + filters = [] + + if prefix: + filters.append(FrozenMeasure.name.like(f"{prefix}%")) + + if aggregation: + filters.append(FrozenMeasure.aggregation == aggregation.upper()) + + if upstream_name: + stmt = stmt.join( + NodeRevision, + FrozenMeasure.upstream_revision_id == NodeRevision.id, + ) + filters.append(NodeRevision.name == upstream_name) + if upstream_version: + filters.append(NodeRevision.version == upstream_version) + + if filters: + stmt = stmt.where(*filters) + + result = await session.execute(stmt) + return result.scalars().all() + + +class NodeRevisionFrozenMeasure(Base): + """ + Join table tying NodeRevisions to FrozenMeasures. + """ + + __tablename__ = "node_revision_frozen_measures" + + id: Mapped[int] = mapped_column(BigInteger(), primary_key=True) + node_revision_id: Mapped[int] = mapped_column( + ForeignKey("noderevision.id", ondelete="CASCADE"), + ) + frozen_measure_id: Mapped[int] = mapped_column( + ForeignKey("frozen_measures.id", ondelete="CASCADE"), + ) diff --git a/datajunction-server/datajunction_server/database/metricmetadata.py b/datajunction-server/datajunction_server/database/metricmetadata.py new file mode 100644 index 000000000..a9ef0b285 --- /dev/null +++ b/datajunction-server/datajunction_server/database/metricmetadata.py @@ -0,0 +1,68 @@ +"""Metric metadata database schema.""" + +from typing import Optional + +import sqlalchemy as sa +from sqlalchemy import Enum +from sqlalchemy.orm import Mapped, mapped_column + +from datajunction_server.database.base import Base +from datajunction_server.models.node import ( + MetricDirection, + MetricMetadataInput, + MetricUnit, +) + + +class MetricMetadata(Base): + """ + Additional metric metadata + """ + + __tablename__ = "metricmetadata" + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + ) + + direction: Mapped[Optional[MetricDirection]] = mapped_column( + Enum(MetricDirection), + default=MetricDirection.NEUTRAL, + nullable=True, + ) + unit: Mapped[Optional[MetricUnit]] = mapped_column( + Enum(MetricUnit), + default=MetricUnit.UNKNOWN, + nullable=True, + ) + + # Formatting fields + significant_digits: Mapped[int | None] = mapped_column( + sa.Integer, + nullable=True, + comment="Number of significant digits to display (if set).", + ) + min_decimal_exponent: Mapped[int | None] = mapped_column( + sa.Integer, + nullable=True, + comment="Minimum exponent to still use decimal formatting; below this, use scientific notation.", + ) + max_decimal_exponent: Mapped[int | None] = mapped_column( + sa.Integer, + nullable=True, + comment="Maximum exponent to still use decimal formatting; above this, use scientific notation.", + ) + + @classmethod + def from_input(cls, input_data: "MetricMetadataInput") -> "MetricMetadata": + """ + Parses a MetricMetadataInput object to a MetricMetadata object + """ + return MetricMetadata( + direction=input_data.direction, + unit=MetricUnit[input_data.unit.upper()] if input_data.unit else None, + significant_digits=input_data.significant_digits, + min_decimal_exponent=input_data.min_decimal_exponent, + max_decimal_exponent=input_data.max_decimal_exponent, + ) diff --git a/datajunction-server/datajunction_server/database/namespace.py b/datajunction-server/datajunction_server/database/namespace.py new file mode 100644 index 000000000..35564d373 --- /dev/null +++ b/datajunction-server/datajunction_server/database/namespace.py @@ -0,0 +1,177 @@ +"""Namespace database schema.""" + +from typing import List, Optional + +from sqlalchemy import DateTime, func, select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import Mapped, joinedload, load_only, mapped_column, selectinload +from sqlalchemy.sql.operators import is_, or_ + +from datajunction_server.database.base import Base +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.models.node import NodeMinimumDetail +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.dag import _node_output_options +from datajunction_server.typing import UTCDatetime + + +class NodeNamespace(Base): + """ + A node namespace + """ + + __tablename__ = "nodenamespace" + + namespace: Mapped[str] = mapped_column( + nullable=False, + unique=True, + primary_key=True, + ) + deactivated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + nullable=True, + default=None, + ) + + @classmethod + async def get_all_with_node_count(cls, session: AsyncSession): + """ + Get all namespaces with the number of nodes in that namespaces. + """ + statement = ( + select( + NodeNamespace.namespace, + func.count(Node.id).label("num_nodes"), + ) + .join( + Node, + onclause=NodeNamespace.namespace == Node.namespace, + isouter=True, + ) + .where( + is_(NodeNamespace.deactivated_at, None), + ) + .group_by(NodeNamespace.namespace) + ) + result = await session.execute(statement) + return result.all() + + @classmethod + async def get( + cls, + session: AsyncSession, + namespace: str, + raise_if_not_exists: bool = True, + ) -> Optional["NodeNamespace"]: + """ + List node names in namespace. + """ + statement = select(cls).where(cls.namespace == namespace) + results = await session.execute(statement) + node_namespace = results.scalar_one_or_none() + if raise_if_not_exists: # pragma: no cover + if not node_namespace: + raise DJDoesNotExistException( + message=(f"node namespace `{namespace}` does not exist."), + http_status_code=404, + ) + return node_namespace + + @classmethod + async def list_nodes( + cls, + session: AsyncSession, + namespace: str, + node_type: Optional[NodeType] = None, + include_deactivated: bool = False, + with_edited_by: bool = False, + ) -> List["NodeMinimumDetail"]: + """ + List node names in namespace. + """ + await cls.get(session, namespace) + + list_nodes_query = ( + select(Node) + .where( + or_( + Node.namespace.like(f"{namespace}.%"), + Node.namespace == namespace, + ), + Node.type == node_type if node_type else True, + ) + .options( + load_only( + Node.name, + Node.type, + Node.current_version, + ), + joinedload(Node.current).options( + load_only( + NodeRevision.display_name, + NodeRevision.description, + NodeRevision.status, + NodeRevision.mode, + NodeRevision.updated_at, + ), + ), + selectinload(Node.tags), + *([selectinload(Node.history)] if with_edited_by else []), + ) + ) + if include_deactivated is False: + list_nodes_query = list_nodes_query.where(is_(Node.deactivated_at, None)) + + result = await session.execute(list_nodes_query) + return [ + NodeMinimumDetail( + name=row.name, + display_name=row.current.display_name, + description=row.current.description, + version=row.current_version, + type=row.type, + status=row.current.status, + mode=row.current.mode, + updated_at=row.current.updated_at, + tags=row.tags, + edited_by=( + None + if not with_edited_by + else list({entry.user for entry in row.history if entry.user}) + ), + ) + for row in result.unique().scalars().all() + ] + + @classmethod + async def list_all_nodes( + cls, + session: AsyncSession, + namespace: str, + include_deactivated: bool = False, + options: Optional[List] = None, + ) -> List["Node"]: + """ + List all nodes in the namespace. + """ + await cls.get(session, namespace) + + list_nodes_query = ( + select(Node) + .where( + or_( + Node.namespace.like(f"{namespace}.%"), + Node.namespace == namespace, + ), + ) + .options( + *(options or _node_output_options()), + ) + ) + if include_deactivated is False: # pragma: no cover + list_nodes_query = list_nodes_query.where(is_(Node.deactivated_at, None)) + + result = await session.execute(list_nodes_query) + nodes = result.unique().scalars().all() + return nodes diff --git a/datajunction-server/datajunction_server/database/node.py b/datajunction-server/datajunction_server/database/node.py new file mode 100644 index 000000000..35ebbec4b --- /dev/null +++ b/datajunction-server/datajunction_server/database/node.py @@ -0,0 +1,1460 @@ +"""Node database schema.""" + +import pickle +import zlib +from datetime import datetime, timezone +from functools import partial +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple + +import sqlalchemy as sa +from pydantic import ConfigDict +from sqlalchemy import JSON, and_, desc +from sqlalchemy.orm import aliased + +from sqlalchemy import Column as SqlalchemyColumn +from sqlalchemy import ( + DateTime, + Enum, + ForeignKey, + Index, + Integer, + LargeBinary, + String, + TypeDecorator, + UniqueConstraint, + select, +) +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.ext.hybrid import hybrid_property +from sqlalchemy.orm import ( + Mapped, + joinedload, + mapped_column, + relationship, + selectinload, + MappedColumn, +) +from sqlalchemy.sql.base import ExecutableOption +from sqlalchemy.sql.operators import is_, or_ + +from datajunction_server.database.attributetype import ColumnAttribute +from datajunction_server.database.availabilitystate import AvailabilityState +from datajunction_server.database.base import Base +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.column import Column +from datajunction_server.database.history import History +from datajunction_server.database.materialization import Materialization +from datajunction_server.database.metricmetadata import MetricMetadata +from datajunction_server.database.nodeowner import NodeOwner +from datajunction_server.database.tag import Tag +from datajunction_server.database.user import User +from datajunction_server.errors import ( + DJInvalidInputException, + DJNodeNotFound, +) +from datajunction_server.models.base import labelize +from datajunction_server.models.deployment import ( + CubeSpec, + DimensionReferenceLinkSpec, + DimensionSpec, + MetricSpec, + NodeSpec, + SourceSpec, + TransformSpec, +) +from datajunction_server.models.node import ( + DEFAULT_DRAFT_VERSION, + BuildCriteria, + NodeCursor, + NodeMode, + NodeStatus, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import PartitionType +from datajunction_server.naming import amenable_name, from_amenable_name +from datajunction_server.typing import UTCDatetime +from datajunction_server.utils import SEPARATOR, execute_with_retry + +if TYPE_CHECKING: + from datajunction_server.database.dimensionlink import DimensionLink + from datajunction_server.database.measure import FrozenMeasure + + +class NodeRelationship(Base): + """ + Join table for self-referential many-to-many relationships between nodes. + """ + + __tablename__ = "noderelationship" + __table_args__ = ( + Index("idx_noderelationship_parent_id", "parent_id"), + Index("idx_noderelationship_child_id", "child_id"), + ) + + parent_id: Mapped[int] = mapped_column( + ForeignKey( + "node.id", + name="fk_noderelationship_parent_id_node", + ondelete="CASCADE", + ), + primary_key=True, + ) + + # This will default to `latest`, which points to the current version of the node, + # or it can be a specific version. + parent_version: Mapped[Optional[str]] = mapped_column(default="latest") + + child_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_noderelationship_child_id_noderevision", + ondelete="CASCADE", + ), + primary_key=True, + ) + + +class CubeRelationship(Base): + """ + Join table for many-to-many relationships between cube nodes and metric/dimension nodes. + """ + + __tablename__ = "cube" + __table_args__ = (Index("idx_cube_cube_id", "cube_id"),) + + cube_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_cube_cube_id_noderevision", + ondelete="CASCADE", + ), + primary_key=True, + ) + + cube_element_id: Mapped[int] = mapped_column( + ForeignKey( + "column.id", + name="fk_cube_cube_element_id_column", + ondelete="CASCADE", + ), + primary_key=True, + ) + + +class BoundDimensionsRelationship(Base): + """ + Join table for many-to-many relationships between metric nodes + and parent nodes for dimensions that are required. + """ + + __tablename__ = "metric_required_dimensions" + + metric_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_metric_required_dimensions_metric_id_noderevision", + ondelete="CASCADE", + ), + primary_key=True, + ) + + bound_dimension_id: Mapped[int] = mapped_column( + ForeignKey( + "column.id", + name="fk_metric_required_dimensions_bound_dimension_id_column", + ondelete="CASCADE", + ), + primary_key=True, + ) + + +class MissingParent(Base): + """ + A missing parent node + """ + + __tablename__ = "missingparent" + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + ) + name: Mapped[str] = mapped_column(String) + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=partial(datetime.now, timezone.utc), + ) + + +class NodeMissingParents(Base): + """ + Join table for missing parents + """ + + __tablename__ = "nodemissingparents" + + missing_parent_id: Mapped[int] = mapped_column( + ForeignKey( + "missingparent.id", + name="fk_nodemissingparents_missing_parent_id_missingparent", + ), + primary_key=True, + ) + referencing_node_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_nodemissingparents_referencing_node_id_noderevision", + ondelete="CASCADE", + ), + primary_key=True, + ) + + +class Node(Base): + """ + Node that acts as an umbrella for all node revisions + """ + + __tablename__ = "node" + __table_args__ = ( + UniqueConstraint("name", "namespace", name="unique_node_namespace_name"), + Index("cursor_index", "created_at", "id", postgresql_using="btree"), + Index( + "namespace_index", + "namespace", + postgresql_using="btree", + postgresql_ops={"identifier": "varchar_pattern_ops"}, + ), + ) + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + ) + name: Mapped[str] = mapped_column(String, unique=True) + type: Mapped[NodeType] = mapped_column(Enum(NodeType)) + display_name: Mapped[Optional[str]] + created_by_id: int = SqlalchemyColumn( + Integer, + ForeignKey("users.id"), + nullable=False, + ) + + created_by: Mapped[User] = relationship( + "User", + back_populates="created_nodes", + foreign_keys=[created_by_id], + lazy="selectin", + ) + namespace: Mapped[str] = mapped_column(String, default="default") + current_version: Mapped[str] = mapped_column( + String, + default=str(DEFAULT_DRAFT_VERSION), + ) + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + deactivated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + nullable=True, + default=None, + ) + + owner_associations = relationship( + "NodeOwner", + back_populates="node", + cascade="all, delete-orphan", + overlaps="owners", + ) + owners: Mapped[list[User]] = relationship( + "User", + secondary="node_owners", + back_populates="owned_nodes", + overlaps="owner_associations", + ) + + revisions: Mapped[List["NodeRevision"]] = relationship( + "NodeRevision", + back_populates="node", + primaryjoin="Node.id==NodeRevision.node_id", + cascade="all,delete", + order_by="NodeRevision.updated_at", + ) + current: Mapped["NodeRevision"] = relationship( + "NodeRevision", + primaryjoin=( + "and_(Node.id==NodeRevision.node_id, " + "Node.current_version == NodeRevision.version)" + ), + viewonly=True, + uselist=False, + ) + + children: Mapped[List["NodeRevision"]] = relationship( + back_populates="parents", + secondary="noderelationship", + primaryjoin="Node.id==NodeRelationship.parent_id", + secondaryjoin="NodeRevision.id==NodeRelationship.child_id", + order_by="NodeRevision.id", + ) + + tags: Mapped[List["Tag"]] = relationship( + back_populates="nodes", + secondary="tagnoderelationship", + primaryjoin="TagNodeRelationship.node_id==Node.id", + secondaryjoin="TagNodeRelationship.tag_id==Tag.id", + ) + + missing_table: Mapped[bool] = mapped_column(sa.Boolean, default=False) + + history: Mapped[List[History]] = relationship( + primaryjoin="History.entity_name==Node.name", + order_by="History.created_at", + foreign_keys="History.entity_name", + ) + + def __hash__(self) -> int: + return hash(self.id) + + @hybrid_property + def edited_by(self) -> List[str]: + """ + Editors of the node + """ + return list( # pragma: no cover + {entry.user for entry in self.history if entry.user}, + ) + + def upstream_cache_key(self, node_type: NodeType | None = None) -> str: + base = f"upstream:{self.name}@{self.current_version}" + return f"{base}:{node_type.value}" if node_type is not None else base + + async def to_spec(self, session: AsyncSession) -> NodeSpec: + """ + Convert the node to a spec + """ + node_spec_class_map: dict[NodeType, type[NodeSpec]] = { + NodeType.SOURCE: SourceSpec, + NodeType.TRANSFORM: TransformSpec, + NodeType.DIMENSION: DimensionSpec, + NodeType.METRIC: MetricSpec, + NodeType.CUBE: CubeSpec, + } + + await session.refresh(self, ["owners"]) + + # Base kwargs common to all node types + base_kwargs = dict( + name=self.name, + node_type=self.type, + owners=[owner.username for owner in self.owners], + display_name=self.current.display_name, + description=self.current.description, + tags=[tag.name for tag in self.tags], + mode=self.current.mode, + custom_metadata=self.current.custom_metadata, + ) + + # Type-specific extra arguments + extra_kwargs: dict[str, Any] = {} + + # Nodes with queries + if self.type in (NodeType.TRANSFORM, NodeType.DIMENSION, NodeType.METRIC): + extra_kwargs.update( + query=self.current.query, + ) + + if self.type in ( + NodeType.TRANSFORM, + NodeType.DIMENSION, + NodeType.METRIC, + NodeType.CUBE, + ): + cols = [col.to_spec() for col in self.current.columns] + extra_kwargs.update( + columns=cols, + ) + + # Nodes with dimension links + if self.type in (NodeType.SOURCE, NodeType.DIMENSION, NodeType.TRANSFORM): + join_link_specs = [ + link.to_spec() + for link in self.current.dimension_links # type: ignore + ] + ref_link_specs = [ + DimensionReferenceLinkSpec( + node_column=col.name, + dimension=f"{col.dimension.name}{SEPARATOR}{col.dimension_column}", + ) + for col in self.current.columns + if col.dimension_id and col.dimension_column + ] + col_specs = [col.to_spec() for col in self.current.columns] + extra_kwargs.update( + primary_key=[ + col.name for col in col_specs if "primary_key" in col.attributes + ], + dimension_links=join_link_specs + ref_link_specs, + ) + + # Source-specific + if self.type == NodeType.SOURCE: + extra_kwargs.update( + catalog=self.current.catalog.name, + schema_=self.current.schema_, + table=self.current.table, + columns=[col.to_spec() for col in self.current.columns], + ) + + # Metric-specific + if self.type == NodeType.METRIC: + extra_kwargs.update( + required_dimensions=[ + col.name for col in self.current.required_dimensions + ], + direction=self.current.metric_metadata.direction + if self.current.metric_metadata + else None, + unit_enum=( + self.current.metric_metadata.unit + if self.current.metric_metadata + and self.current.metric_metadata.unit + else None + ), + significant_digits=self.current.metric_metadata.significant_digits + if self.current.metric_metadata + else None, + min_decimal_exponent=self.current.metric_metadata.min_decimal_exponent + if self.current.metric_metadata + else None, + max_decimal_exponent=self.current.metric_metadata.max_decimal_exponent + if self.current.metric_metadata + else None, + ) + + # Cube-specific + if self.type == NodeType.CUBE: + extra_kwargs.update( + metrics=self.current.cube_node_metrics, + dimensions=self.current.cube_node_dimensions, + ) + + node_spec_cls = node_spec_class_map[self.type] + return node_spec_cls(**base_kwargs, **extra_kwargs) + + @classmethod + def cube_load_options(cls) -> List[ExecutableOption]: + return [ + selectinload(Node.current).options(*NodeRevision.cube_load_options()), + selectinload(Node.tags), + ] + + @classmethod + async def get_by_name( + cls, + session: AsyncSession, + name: str, + options: List[ExecutableOption] = None, + raise_if_not_exists: bool = False, + include_inactive: bool = False, + for_update: bool = False, + ) -> Optional["Node"]: + """ + Get a node by name + """ + statement = select(Node).where(Node.name == name) + options = options or [ + joinedload(Node.current).options( + *NodeRevision.default_load_options(), + ), + selectinload(Node.tags), + selectinload(Node.created_by), + selectinload(Node.owners), + ] + statement = statement.options(*options) + if not include_inactive: + statement = statement.where(is_(Node.deactivated_at, None)) + if for_update: + statement = statement.with_for_update().execution_options( + populate_existing=True, + ) + result = await session.execute(statement) + node = result.unique().scalar_one_or_none() + if not node and raise_if_not_exists: + raise DJNodeNotFound( + message=(f"A node with name `{name}` does not exist."), + http_status_code=404, + ) + return node + + @classmethod + async def get_by_names( + cls, + session: AsyncSession, + names: List[str], + options: List[ExecutableOption] = None, + include_inactive: bool = False, + ) -> List["Node"]: + """ + Get nodes by names + """ + statement = select(Node).where(Node.name.in_(names)) + options = options or [ + joinedload(Node.current).options( + *NodeRevision.default_load_options(), + ), + selectinload(Node.tags), + ] + statement = statement.options(*options) + if not include_inactive: # pragma: no cover + statement = statement.where(is_(Node.deactivated_at, None)) + result = await session.execute(statement) + nodes = result.unique().scalars().all() + nodes_by_name = {node.name: node for node in nodes} + ordered_nodes = [nodes_by_name[name] for name in names if name in nodes_by_name] + return ordered_nodes + + @classmethod + async def get_cube_by_name( + cls, + session: AsyncSession, + name: str, + ) -> Optional["Node"]: + """ + Get a cube by name + """ + statement = ( + select(Node) + .where(Node.name == name) + .options( + joinedload(Node.current).options( + selectinload(NodeRevision.availability), + selectinload(NodeRevision.columns), + selectinload(NodeRevision.catalog).selectinload(Catalog.engines), + selectinload(NodeRevision.materializations).joinedload( + Materialization.backfills, + ), + selectinload(NodeRevision.cube_elements) + .selectinload(Column.node_revision) + .options( + selectinload(NodeRevision.node), + ), + ), + joinedload(Node.tags), + ) + ) + result = await session.execute(statement) + node = result.unique().scalar_one_or_none() + return node + + @classmethod + async def get_by_id( + cls, + session: AsyncSession, + node_id: int, + options: list[ExecutableOption] = None, + ) -> Optional["Node"]: + """ + Get a node by id + """ + statement = select(Node).where(Node.id == node_id).options(*(options or [])) + result = await session.execute(statement) + node = result.unique().scalar_one_or_none() + return node + + @classmethod + async def find( + cls, + session: AsyncSession, + prefix: Optional[str] = None, + node_type: Optional[NodeType] = None, + *options: ExecutableOption, + ) -> List["Node"]: + """ + Finds a list of nodes by prefix + """ + statement = select(Node).where(is_(Node.deactivated_at, None)) + if prefix: + statement = statement.where( + Node.name.like(f"{prefix}%"), # type: ignore + ) + if node_type: + statement = statement.where(Node.type == node_type) + result = await session.execute(statement.options(*options)) + return result.unique().scalars().all() + + @classmethod + async def find_by( + cls, + session: AsyncSession, + names: list[str] | None = None, + fragment: str | None = None, + node_types: list[NodeType] | None = None, + tags: list[str] | None = None, + edited_by: str | None = None, + namespace: str | None = None, + limit: int | None = 100, + before: str | None = None, + after: str | None = None, + order_by: MappedColumn | None = None, + ascending: bool = False, + options: list[ExecutableOption] = None, + mode: NodeMode | None = None, + owned_by: str | None = None, + missing_description: bool = False, + missing_owner: bool = False, + dimensions: list[str] | None = None, + statuses: list[NodeStatus] | None = None, + has_materialization: bool = False, + orphaned_dimension: bool = False, + ) -> List["Node"]: + """ + Finds a list of nodes by prefix + """ + if not order_by: + order_by = Node.created_at + + NodeRevisionAlias = aliased(NodeRevision) + + nodes_with_tags = [] + if tags: + statement = ( + select(Tag).where(Tag.name.in_(tags)).options(joinedload(Tag.nodes)) + ) + nodes_with_tags = [ + node.id + for tag in (await session.execute(statement)).unique().scalars().all() + for node in tag.nodes + ] + if not nodes_with_tags: # pragma: no cover + return [] + + # Filter by dimensions (supports node names or attributes) + nodes_with_dimensions: list[str] | None = None + if dimensions: + nodes_with_dimensions = await cls._resolve_dimension_filter( + session, + dimensions, + node_types, + ) + if nodes_with_dimensions is None: + return [] # Dimension not found + + statement = select(Node).where(is_(Node.deactivated_at, None)) + + # Join NodeRevision if needed for order_by, fragment filtering, or mode filtering + # Also ensures only nodes with a valid current revision are returned + order_by_node_revision = ( + order_by and getattr(order_by, "class_", None) is NodeRevision + ) + join_revision = True if fragment or order_by_node_revision or mode else False + if join_revision: + statement = statement.join(NodeRevisionAlias, Node.current) + if order_by_node_revision: + order_by = getattr(NodeRevisionAlias, order_by.key) + + if namespace: + statement = statement.where( + (Node.namespace.like(f"{namespace}.%")) | (Node.namespace == namespace), + ) + if nodes_with_tags: + statement = statement.where( + Node.id.in_(nodes_with_tags), + ) # pragma: no cover + if nodes_with_dimensions: + statement = statement.where( + Node.name.in_(nodes_with_dimensions), + ) + if names: + statement = statement.where( + Node.name.in_(names), # type: ignore + ) + if fragment: + statement = statement.where( + or_( + Node.name.like(f"%{fragment}%"), + NodeRevisionAlias.display_name.ilike(f"%{fragment}%"), + ), + ) + + if node_types: + statement = statement.where(Node.type.in_(node_types)) + if mode: + statement = statement.where(NodeRevisionAlias.mode == mode) + if edited_by: + edited_node_subquery = ( + select(History.entity_name) + .where(History.user == edited_by) + .distinct() + .subquery() + ) + # Use WHERE IN instead of JOIN + DISTINCT to avoid ORDER BY conflicts + statement = statement.where( + Node.name.in_(select(edited_node_subquery.c.entity_name)), + ) + + # Filter by owner username + if owned_by: + owned_node_subquery = ( + select(NodeOwner.node_id) + .join(User, NodeOwner.user_id == User.id) + .where(User.username == owned_by) + .distinct() + .subquery() + ) + statement = statement.where(Node.id.in_(select(owned_node_subquery))) + + # Filter nodes missing descriptions (actionable item) + if missing_description: + if not join_revision: # pragma: no branch + statement = statement.join(NodeRevisionAlias, Node.current) + join_revision = True + statement = statement.where( + or_( + NodeRevisionAlias.description.is_(None), + NodeRevisionAlias.description == "", + ), + ) + + # Filter nodes missing owners (actionable item) + if missing_owner: + nodes_with_owners_subquery = select(NodeOwner.node_id).distinct().subquery() + statement = statement.where( + ~Node.id.in_(select(nodes_with_owners_subquery)), + ) + + # Filter by node statuses + if statuses: + if not join_revision: # pragma: no branch + statement = statement.join(NodeRevisionAlias, Node.current) + join_revision = True + # Strawberry enums need to be converted to their lowercase values for DB comparison + status_values = [ + s.value.lower() if hasattr(s, "value") else str(s).lower() + for s in statuses + ] + statement = statement.where(NodeRevisionAlias.status.in_(status_values)) + + # Filter to nodes with materializations configured + if has_materialization: + if not join_revision: # pragma: no branch + statement = statement.join(NodeRevisionAlias, Node.current) + join_revision = True + nodes_with_mat_subquery = ( + select(Materialization.node_revision_id) + .where(Materialization.deactivated_at.is_(None)) + .distinct() + .subquery() + ) + statement = statement.where( + NodeRevisionAlias.id.in_(select(nodes_with_mat_subquery)), + ) + + # Filter to orphaned dimensions (dimension nodes not linked to by any other node) + if orphaned_dimension: + from datajunction_server.database.dimensionlink import DimensionLink + + # Only dimension nodes can be orphaned + statement = statement.where(Node.type == NodeType.DIMENSION) + # Find dimensions that have no DimensionLink pointing to them + linked_dimension_subquery = ( + select(DimensionLink.dimension_id).distinct().subquery() + ) + statement = statement.where( + ~Node.id.in_(select(linked_dimension_subquery)), + ) + + # Always ensure only nodes with valid current revisions are returned + # This prevents GraphQL errors when current is non-nullable + if not join_revision: + statement = statement.join(NodeRevisionAlias, Node.current) + join_revision = True # noqa: F841 + + if after: + cursor = NodeCursor.decode(after) + statement = statement.where( + (Node.created_at, Node.id) <= (cursor.created_at, cursor.id), + ).order_by(Node.created_at.desc(), Node.id.desc()) + elif before: + cursor = NodeCursor.decode(before) + statement = statement.where( + (Node.created_at, Node.id) >= (cursor.created_at, cursor.id), + ) + statement = statement.order_by( + order_by.asc() if ascending else order_by.desc(), + Node.created_at.asc(), + Node.id.asc(), + ) + else: + statement = statement.order_by( + order_by.asc() if ascending else order_by.desc(), + Node.created_at.desc(), + Node.id.desc(), + ) + + limit = limit if limit and limit > 0 else 100 + statement = statement.limit(limit) + result = await execute_with_retry(session, statement.options(*(options or []))) + nodes = result.unique().scalars().all() + + # Reverse for backward pagination + if before: + nodes.reverse() + return nodes + + @classmethod + async def _resolve_dimension_filter( + cls, + session: AsyncSession, + dimensions: list[str], + node_types: list[NodeType] | None, + ) -> list[str] | None: + """ + Resolve dimension inputs to matching node names. + + Accepts both dimension node names (e.g., "default.hard_hat") and + dimension attributes (e.g., "default.hard_hat.city"). + + Returns None if any dimension input cannot be resolved (no matches possible). + """ + from datajunction_server.sql.dag import get_nodes_with_common_dimensions + + # Build candidates: each input + its parent (before last dot) + candidates = set() + input_to_candidates = {d: [d] for d in dimensions} + for dim in dimensions: + candidates.add(dim) + if SEPARATOR in dim: # pragma: no branch + parent = dim.rsplit(SEPARATOR, 1)[0] + input_to_candidates[dim].append(parent) + candidates.add(parent) + + # Find existing nodes among candidates + result = await session.execute( + select(Node.name).where( + Node.name.in_(candidates), + is_(Node.deactivated_at, None), + ), + ) + existing_names = {row[0] for row in result.all()} + + # Resolve each input to first matching candidate + resolved_names = [] + for dim in dimensions: + resolved = next( + (c for c in input_to_candidates[dim] if c in existing_names), + None, + ) + if not resolved: + return None # Dimension not found, no matches possible + if resolved not in resolved_names: # pragma: no cover + resolved_names.append(resolved) + + dim_nodes = await cls.get_by_names( + session, + resolved_names, + include_inactive=False, + ) + result = await get_nodes_with_common_dimensions(session, dim_nodes, node_types) + return [n.name for n in result] + + +class CompressedPickleType(TypeDecorator): + """ + A SQLAlchemy type for storing zlib-compressed pickled objects. + """ + + impl = LargeBinary + python_type = object + + def __init__(self, *args, protocol=pickle.HIGHEST_PROTOCOL, **kwargs): + super().__init__(*args, **kwargs) + self.protocol = protocol + + def process_bind_param(self, value, dialect): + """ + Serialize and compress the Python object before storing it in the database. + """ + if value is None: + return None + return zlib.compress( # pragma: no cover + pickle.dumps(value, protocol=self.protocol), + ) + + def process_result_value(self, value, dialect): + """ + Decompress and deserialize the stored value into a Python object. + """ + if value is None: + return None + try: # pragma: no cover + return pickle.loads(zlib.decompress(value)) # pragma: no cover + except TypeError: # pragma: no cover + return None + + def process_literal_param(self, value, dialect): + """Convert the value to a literal for SQL statements.""" + if value is not None: # pragma: no cover + # Convert the value to a compressed and pickled representation + compressed_value = zlib.compress(pickle.dumps(value)) + return compressed_value.hex() # Convert binary to a safe literal format + return None # pragma: no cover + + +class NodeRevision( + Base, +): + """ + A node revision. + """ + + __tablename__ = "noderevision" + __table_args__ = ( + UniqueConstraint("version", "node_id"), + Index( + "ix_noderevision_display_name", + "display_name", + postgresql_using="gin", + postgresql_ops={"display_name": "gin_trgm_ops"}, + ), + ) + + id: Mapped[int] = mapped_column( + sa.BigInteger().with_variant(sa.Integer, "sqlite"), + primary_key=True, + ) + + name: Mapped[str] = mapped_column(unique=False) + + display_name: Mapped[Optional[str]] = mapped_column( + String, + insert_default=lambda context: labelize(context.current_parameters.get("name")), + ) + type: Mapped[NodeType] = mapped_column(Enum(NodeType)) + description: Mapped[str] = mapped_column(String, default="") + created_by_id: int = SqlalchemyColumn( + Integer, + ForeignKey("users.id"), + nullable=False, + ) + created_by: Mapped[User] = relationship( + "User", + back_populates="created_node_revisions", + foreign_keys=[created_by_id], + lazy="selectin", + ) + query: Mapped[Optional[str]] = mapped_column(String) + mode: Mapped[NodeMode] = mapped_column( + Enum(NodeMode), + default=NodeMode.PUBLISHED, + ) + + version: Mapped[Optional[str]] = mapped_column( + String, + default=str(DEFAULT_DRAFT_VERSION), + ) + node_id: Mapped[int] = mapped_column( + ForeignKey("node.id", name="fk_noderevision_node_id_node", ondelete="CASCADE"), + ) + node: Mapped[Node] = relationship( + "Node", + back_populates="revisions", + foreign_keys=[node_id], + lazy="selectin", + ) + catalog_id: Mapped[Optional[int]] = mapped_column( + ForeignKey("catalog.id", name="fk_noderevision_catalog_id_catalog"), + ) + catalog: Mapped[Optional[Catalog]] = relationship( + "Catalog", + back_populates="node_revisions", + lazy="joined", + ) + schema_: Mapped[Optional[str]] = mapped_column(String, default=None) + table: Mapped[Optional[str]] = mapped_column(String, default=None) + + # A list of columns from the metric's parent that + # are required for grouping when using the metric + required_dimensions: Mapped[List["Column"]] = relationship( + secondary="metric_required_dimensions", + primaryjoin="NodeRevision.id==BoundDimensionsRelationship.metric_id", + secondaryjoin="Column.id==BoundDimensionsRelationship.bound_dimension_id", + ) + + metric_metadata_id: Mapped[Optional[int]] = mapped_column( + ForeignKey( + "metricmetadata.id", + name="fk_noderevision_metric_metadata_id_metricmetadata", + ), + ) + metric_metadata: Mapped[Optional[MetricMetadata]] = relationship( + primaryjoin="NodeRevision.metric_metadata_id==MetricMetadata.id", + cascade="all, delete", + uselist=False, + ) + + # A list of metric columns and dimension columns, only used by cube nodes + cube_elements: Mapped[List["Column"]] = relationship( + secondary="cube", + primaryjoin="NodeRevision.id==CubeRelationship.cube_id", + secondaryjoin="Column.id==CubeRelationship.cube_element_id", + lazy="selectin", + order_by="Column.order", + ) + + status: Mapped[NodeStatus] = mapped_column( + Enum(NodeStatus), + default=NodeStatus.INVALID, + ) + updated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + + parents: Mapped[List["Node"]] = relationship( + back_populates="children", + secondary="noderelationship", + primaryjoin="NodeRevision.id==NodeRelationship.child_id", + secondaryjoin="Node.id==NodeRelationship.parent_id", + ) + + missing_parents: Mapped[List[MissingParent]] = relationship( + secondary="nodemissingparents", + primaryjoin="NodeRevision.id==NodeMissingParents.referencing_node_id", + secondaryjoin="MissingParent.id==NodeMissingParents.missing_parent_id", + cascade="all, delete", + ) + + columns: Mapped[List["Column"]] = relationship( + "Column", + back_populates="node_revision", + cascade="all, delete-orphan", + order_by="Column.order", + ) + + dimension_links: Mapped[List["DimensionLink"]] = relationship( + back_populates="node_revision", + cascade="all, delete", + order_by="DimensionLink.id", + ) + + # The availability of materialized data needs to be stored on the NodeRevision + # level in order to support pinned versions, where a node owner wants to pin + # to a particular upstream node version. + availability: Mapped[Optional[AvailabilityState]] = relationship( + secondary="nodeavailabilitystate", + primaryjoin="NodeRevision.id==NodeAvailabilityState.node_id", + secondaryjoin="AvailabilityState.id==NodeAvailabilityState.availability_id", + cascade="all, delete", + uselist=False, + ) + + # Nodes of type SOURCE will not have this property as their materialization + # is not managed as a part of this service + materializations: Mapped[List["Materialization"]] = relationship( + back_populates="node_revision", + cascade="all, delete-orphan", + ) + + lineage: Mapped[Optional[List[Dict]]] = mapped_column( + JSON, + default=[], + ) + + query_ast: Mapped[CompressedPickleType | None] = mapped_column( + CompressedPickleType, + default=None, + ) + + custom_metadata: Mapped[Optional[Dict]] = mapped_column( + JSON, + default=None, + ) + + # Measures + frozen_measures: Mapped[List["FrozenMeasure"]] = relationship( + secondary="node_revision_frozen_measures", + back_populates="used_by_node_revisions", + ) + derived_expression: Mapped[Optional[str]] + + def __hash__(self) -> int: + return hash(self.id) + + def primary_key(self) -> List[Column]: + """ + Returns the primary key columns of this node. + """ + primary_key_columns = [] + for col in self.columns: + if col.has_primary_key_attribute(): + primary_key_columns.append(col) + return primary_key_columns + + @classmethod + def default_load_options(cls): + """ + Default options when loading a node + """ + from datajunction_server.database.dimensionlink import DimensionLink + + return ( + selectinload(NodeRevision.columns).options( + joinedload(Column.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + joinedload(Column.dimension), + joinedload(Column.partition), + ), + joinedload(NodeRevision.catalog), + selectinload(NodeRevision.parents), + selectinload(NodeRevision.materializations), + selectinload(NodeRevision.metric_metadata), + selectinload(NodeRevision.availability), + selectinload(NodeRevision.dimension_links).options( + joinedload(DimensionLink.dimension).options( + selectinload(Node.current), + ), + joinedload(DimensionLink.node_revision), + ), + selectinload(NodeRevision.required_dimensions), + selectinload(NodeRevision.availability), + ) + + @classmethod + def cube_load_options(cls): + """ + Default options when loading a cube node + """ + return ( + *cls.default_load_options(), + selectinload(NodeRevision.cube_elements) + .selectinload(Column.node_revision) + .options( + selectinload(NodeRevision.node), + ), + ) + + @staticmethod + def format_metric_alias(query: str, name: str) -> str: + """ + Return a metric query with the metric aliases reassigned to + have the same name as the node, if they aren't already matching. + """ + from datajunction_server.sql.parsing import ast + from datajunction_server.sql.parsing.backends.antlr4 import parse + + tree = parse(query) + projection_0 = tree.select.projection[0] + tree.select.projection[0] = projection_0.set_alias( + ast.Name(amenable_name(name)), + ) + return str(tree) + + @classmethod + async def get_by_id( + cls, + session: AsyncSession, + node_revision_id: int, + options: list[ExecutableOption] = None, + ) -> Optional["NodeRevision"]: + """ + Get a node revision by id + """ + statement = select(NodeRevision).where(NodeRevision.id == node_revision_id) + if options: # pragma: no cover + statement = statement.options(*options) + result = await session.execute(statement) + node_revision = result.unique().scalar_one_or_none() + return node_revision + + def check_metric(self): + """ + Check if the Node defines a metric. + + The Node SQL query should have a single expression in its + projections and it should be an aggregation function. + """ + from datajunction_server.sql.parsing.backends.antlr4 import parse + from datajunction_server.internal.validation import validate_metric_query + + tree = parse(self.query) + return validate_metric_query(tree, self.name) + + @property + def is_derived_metric(self) -> bool: + """ + Check if this metric references other metrics (making it a derived metric). + A derived metric is a metric whose parent(s) include other metric nodes. + """ + if self.type != NodeType.METRIC: + return False + return any(parent.type == NodeType.METRIC for parent in self.parents) + + @property + def metric_parents(self) -> List["Node"]: + """ + Get the list of parent nodes that are metrics. + """ + return [parent for parent in self.parents if parent.type == NodeType.METRIC] + + @property + def non_metric_parents(self) -> List["Node"]: + """ + Get the list of parent nodes that are not metrics. + """ + return [parent for parent in self.parents if parent.type != NodeType.METRIC] + + def extra_validation(self) -> None: + """ + Extra validation for node data. + """ + if self.type in {NodeType.TRANSFORM, NodeType.METRIC, NodeType.DIMENSION}: + if not self.query: + raise DJInvalidInputException( + f"Node {self.name} of type {self.type} needs a query", + ) + + if self.type != NodeType.METRIC and self.required_dimensions: + raise DJInvalidInputException( + f"Node {self.name} of type {self.type} cannot have " + "bound dimensions which are only for metrics.", + ) + + if self.type == NodeType.METRIC: + self.check_metric() + + if self.type == NodeType.CUBE: + if not self.cube_elements: + raise DJInvalidInputException( + f"Node {self.name} of type cube node needs cube elements", + ) + + def copy_dimension_links_from_revision(self, old_revision: "NodeRevision"): + """ + Copy dimension links and attributes from another node revision if the column names match + """ + old_columns_mapping = {col.name: col for col in old_revision.columns} + for col in self.columns: + if col.name in old_columns_mapping: + col.dimension_id = old_columns_mapping[col.name].dimension_id + col.attributes = old_columns_mapping[col.name].attributes or [] + return self + + model_config = ConfigDict(extra="allow") + + def has_available_materialization(self, build_criteria: BuildCriteria) -> bool: + """ + Has a materialization available + """ + return ( + self.availability is not None # pragma: no cover + and self.availability.is_available( + criteria=build_criteria, + ) + ) + + def ordering(self) -> Dict[str, int]: + """ + Column ordering + """ + return { + col.name.replace("_DOT_", SEPARATOR): (col.order or idx) + for idx, col in enumerate(self.columns) + } + + def cube_elements_with_nodes(self) -> List[Tuple[Column, Optional["NodeRevision"]]]: + """ + Cube elements along with their nodes + """ + return [(element, element.node_revision) for element in self.cube_elements] + + def metric_node_revisions(self) -> list[Optional["NodeRevision"]]: + """ + Cube elements along with their nodes + """ + node_revisions = [element.node_revision for element in self.cube_elements] + return [rev for rev in node_revisions if rev.type == NodeType.METRIC] + + def cube_metrics(self) -> List[Node]: + """ + Cube node's metrics + """ + if self.type != NodeType.CUBE: + return [] # pragma: no cover + ordering = { + col.name.replace("_DOT_", SEPARATOR): (col.order or idx) + for idx, col in enumerate(self.columns) + } + return sorted( + [ + node_revision.node # type: ignore + for element, node_revision in self.cube_elements_with_nodes() + if node_revision + and node_revision.node + and node_revision.type == NodeType.METRIC + ], + key=lambda x: ordering[x.name], + ) + + def cube_dimensions(self) -> List[str]: + """ + Cube node's dimension attributes + """ + if self.type != NodeType.CUBE: + return [] # pragma: no cover + cube_metrics = { + from_amenable_name(elem.name): node + for elem, node in self.cube_elements_with_nodes() + if node.type == NodeType.METRIC # type: ignore + } + res = [ + element.name + (element.dimension_column or "") + for element in self.columns + if not cube_metrics.get(element.name) + ] + return res + + @hybrid_property + def cube_node_metrics(self) -> List[str]: + """ + Cube node's metrics + """ + return [metric.name for metric in self.cube_metrics()] + + @hybrid_property + def cube_node_dimensions(self) -> List[str]: + """ + Cube node's dimension attributes + """ + return self.cube_dimensions() + + def temporal_partition_columns(self) -> List[Column]: + """ + The node's temporal partition columns, if any + """ + return [ + col + for col in self.columns + if col.partition and col.partition.type_ == PartitionType.TEMPORAL + ] + + def categorical_partition_columns(self) -> List[Column]: + """ + The node's categorical partition columns, if any + """ + return [ + col + for col in self.columns + if col.partition and col.partition.type_ == PartitionType.CATEGORICAL + ] + + def dimensions_to_columns_map(self): + """ + A mapping between each of the dimension attributes linked to this node to the columns + that they're linked to. + """ + return { # pragma: no cover + left.identifier(): right + for link in self.dimension_links + for left, right in link.foreign_key_mapping().items() + } + + def __deepcopy__(self, memo): + """ + Note: We should not use copy or deepcopy to copy any SQLAlchemy objects. + This is implemented here to make copying of AST structures easier, but does + not actually copy anything + """ + return None + + def _find_cube_by_statement( + name: str | None = None, + version: str | None = None, + catalog: str | None = None, + page: int = 1, + page_size: int = 10, + ): + from datajunction_server.database.measure import FrozenMeasure + + if not version or version == "latest": + version_condition = NodeRevision.version == Node.current_version + else: + version_condition = NodeRevision.version == version + + statement = ( + select(NodeRevision) + .select_from(Node) + .where(and_(is_(Node.deactivated_at, None), Node.type == NodeType.CUBE)) + .join( + NodeRevision, + (NodeRevision.name == Node.name) & (version_condition), + ) + .options( + selectinload(NodeRevision.columns), + selectinload( # Ensure availability is loaded for filtering + NodeRevision.availability, + ), + selectinload(NodeRevision.materializations).selectinload( + Materialization.backfills, + ), + selectinload(NodeRevision.cube_elements) + .selectinload(Column.node_revision) + .options( + joinedload(NodeRevision.node), + selectinload(NodeRevision.frozen_measures).options( + selectinload(FrozenMeasure.upstream_revision), + ), + ), + selectinload(NodeRevision.node).options(selectinload(Node.tags)), + ) + ) + if name: + statement = statement.where(Node.name == name) + else: + statement = statement.order_by(desc(NodeRevision.updated_at)) + if catalog: + statement = statement.join( + AvailabilityState, + NodeRevision.availability, + ).where( + AvailabilityState.catalog == catalog, + ) + offset = (page - 1) * page_size + statement = statement.offset(offset).limit(page_size) + return statement + + @classmethod + async def get_cube_revision( + cls, + session: AsyncSession, + name: str, + version: str | None = None, + ) -> Optional["NodeRevision"]: + """ + Get a cube by name + """ + statement = NodeRevision._find_cube_by_statement(name=name, version=version) + result = await session.execute(statement) + return result.unique().scalar_one_or_none() + + @classmethod + async def get_cube_revisions( + cls, + session: AsyncSession, + catalog: Optional[str] = None, + page: int = 1, + page_size: int = 10, + ) -> list["NodeRevision"]: + """ + Returns cube revision metadata for the latest version of all cubes, with pagination. + Optionally filters by the catalog in which the cube is available. + """ + statement = NodeRevision._find_cube_by_statement( + catalog=catalog, + page=page, + page_size=page_size, + ) + result = await session.execute(statement) + return result.unique().scalars().all() diff --git a/datajunction-server/datajunction_server/database/nodeowner.py b/datajunction-server/datajunction_server/database/nodeowner.py new file mode 100644 index 000000000..741b5bcc6 --- /dev/null +++ b/datajunction-server/datajunction_server/database/nodeowner.py @@ -0,0 +1,52 @@ +"""Node - owners database schema.""" + +from sqlalchemy import ( + ForeignKey, + Index, + String, +) +from sqlalchemy.orm import Mapped, mapped_column, relationship +from datajunction_server.database.base import Base + + +class NodeOwner(Base): + """ + Join table for users and nodes that represents ownership + """ + + __tablename__ = "node_owners" + __table_args__ = ( + Index("idx_node_owners_node_id", "node_id"), + Index("idx_node_owners_user_id", "user_id"), + ) + + node_id: Mapped[int] = mapped_column( + ForeignKey( + "node.id", + name="fk_node_owners_node_id", + ondelete="CASCADE", + ), + primary_key=True, + ) + user_id: Mapped[int] = mapped_column( + ForeignKey( + "users.id", + name="fk_node_owners_user_id", + ), + primary_key=True, + ) + ownership_type: Mapped[str] = mapped_column( + String(256), + nullable=True, + ) + + node = relationship( + "Node", + back_populates="owner_associations", + viewonly=True, + ) + user = relationship( + "User", + back_populates="owned_associations", + viewonly=True, + ) diff --git a/datajunction-server/datajunction_server/database/notification_preference.py b/datajunction-server/datajunction_server/database/notification_preference.py new file mode 100644 index 000000000..9a2f7f838 --- /dev/null +++ b/datajunction-server/datajunction_server/database/notification_preference.py @@ -0,0 +1,65 @@ +"""History database schema.""" + +from datetime import datetime, timezone +from functools import partial + +from sqlalchemy import ( + ARRAY, + BigInteger, + DateTime, + Enum, + ForeignKey, + Integer, + String, + UniqueConstraint, +) +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from datajunction_server.database.base import Base +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.database.user import User +from datajunction_server.typing import UTCDatetime + + +class NotificationPreference(Base): # pylint: disable=too-few-public-methods + """ + User notification preferences for a specific entity and activity type. + """ + + __tablename__ = "notificationpreferences" + __table_args__ = ( + UniqueConstraint( + "user_id", + "entity_type", + "entity_name", + name="uix_user_entity_type_name", + ), + ) + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + entity_type: Mapped[EntityType] = mapped_column( + Enum(EntityType, name="notification_entitytype"), + ) + entity_name: Mapped[str] = mapped_column(String) + activity_types: Mapped[list[ActivityType]] = mapped_column( + ARRAY( + Enum(ActivityType, name="notification_activitytype"), + ), # Use ARRAY of enums + default=list, + ) + user_id: Mapped[int] = mapped_column( + ForeignKey("users.id"), + nullable=False, + ) + user: Mapped["User"] = relationship( + "User", + back_populates="notification_preferences", + ) + alert_types: Mapped[list[str]] = mapped_column(ARRAY(String), default=list) + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) diff --git a/datajunction-server/datajunction_server/database/partition.py b/datajunction-server/datajunction_server/database/partition.py new file mode 100644 index 000000000..e8ee0195b --- /dev/null +++ b/datajunction-server/datajunction_server/database/partition.py @@ -0,0 +1,138 @@ +"""Partition database schema.""" + +import re +from typing import TYPE_CHECKING, Optional + +from sqlalchemy import BigInteger, Enum, ForeignKey, Integer +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from datajunction_server.database.base import Base +from datajunction_server.database.column import Column +from datajunction_server.models.partition import Granularity, PartitionType +from datajunction_server.naming import amenable_name +from datajunction_server.sql.functions import Function, function_registry +from datajunction_server.sql.parsing.types import TimestampType + +if TYPE_CHECKING: + from datajunction_server.models.deployment import PartitionSpec + + +class Partition(Base): # type: ignore + """ + A partition specification consists of a reference to a partition column and a partition type + (either temporal or categorical). Both partition types indicate how to partition the + materialized dataset, which the configured materializations will use when building + materialization jobs. The temporal partition additionally tells us how to incrementally + materialize the node, with the ongoing materialization job operating on the latest partitions. + + An expression can be optionally provided for temporal partitions, which evaluates to the + temporal partition for scheduled runs. This is typically used to configure a specific timestamp + format for the partition column, i.e., CAST(FORMAT(DJ_LOGICAL_TIMESTAMP(), "yyyyMMdd") AS INT) + would yield a date integer from the current processing partition. + """ + + __tablename__ = "partition" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + + type_: Mapped[PartitionType] = mapped_column(Enum(PartitionType)) + + # + # Temporal partitions will additionally have the following properties: + # + # Timestamp granularity + granularity: Mapped[Optional[Granularity]] = mapped_column(Enum(Granularity)) + # Timestamp format + format: Mapped[Optional[str]] + + # The column reference that this partition is defined on + column_id: Mapped[int] = mapped_column( + ForeignKey( + "column.id", + name="fk_partition_column_id_column", + ondelete="CASCADE", + ), + ) + column: Mapped[Column] = relationship( + back_populates="partition", + primaryjoin="Column.id==Partition.column_id", + ) + + def to_spec(self) -> "PartitionSpec": + from datajunction_server.models.deployment import PartitionSpec + + return PartitionSpec( + type=self.type_, + granularity=self.granularity, + format=self.format, + ) + + def temporal_expression(self, interval: Optional[str] = None): + """ + This expression evaluates to the temporal partition value for scheduled runs. Defaults to + CAST(FORMAT(DJ_LOGICAL_TIMESTAMP(), 'yyyyMMdd') AS ). Includes the interval + offset in the expression if provided. + """ + from datajunction_server.sql.parsing import ast + from datajunction_server.sql.parsing.backends.antlr4 import parse + + timestamp_expression = ast.Cast( + expression=ast.Function( + ast.Name("DJ_LOGICAL_TIMESTAMP"), + args=[], + ), + data_type=TimestampType(), + ) + if interval: + interval_ast = parse(f"SELECT INTERVAL {interval}") + timestamp_expression = ast.BinaryOp( # type: ignore + left=timestamp_expression, + right=interval_ast.select.projection[0], # type: ignore + op=ast.BinaryOpKind.Minus, + ) + + if self.type_ == PartitionType.TEMPORAL: + return ast.Cast( + expression=ast.Function( + ast.Name("DATE_FORMAT"), + args=[ + timestamp_expression, + ast.String(f"'{self.format}'"), + ], + ), + data_type=self.column.type, + ) + return None # pragma: no cover + + def categorical_expression(self): + """ + Expression for the categorical partition + """ + from datajunction_server.sql.parsing import ast + + # Register a DJ function (inherits the `datajunction_server.sql.functions.Function` class) + # that has the partition column name as the function name. This will be substituted at + # runtime with the partition column name + amenable_partition_name = amenable_name(self.column.name) + clazz = type( + amenable_partition_name, + (Function,), + { + "is_runtime": True, + "substitute": staticmethod(lambda: f"${{{amenable_partition_name}}}"), + }, + ) + snake_cased = re.sub(r"(? str: + """ + Compute a hash of a measure expression for identity matching. + + This ensures that measures with different expressions are not incorrectly + matched even if they have the same name. + + Args: + expression: The SQL expression (e.g., "price * quantity") + + Returns: + MD5 hash string of the expression (truncated to 12 chars) + """ + # Normalize whitespace for consistent hashing + normalized = " ".join(expression.split()) + return hashlib.md5(normalized.encode()).hexdigest()[:12] + + +def compute_grain_group_hash( + node_revision_id: int, + grain_columns: List[str], +) -> str: + """ + Compute the grain group hash for a pre-aggregation. + + This enables fast lookups to find pre-aggs with the same node revision + grain. + Multiple pre-aggs can share the same grain_group_hash (with different measures). + The hash is computed from: node_revision_id + sorted(grain_columns) + + Note: grain_columns should be fully qualified dimension references + (e.g., "default.date_dim.date_id", not just "date_id"). + + Args: + node_revision_id: The ID of the node revision + grain_columns: Fully qualified dimension/column references + + Returns: + MD5 hash string of the grain group + """ + content = f"{node_revision_id}:{json.dumps(sorted(grain_columns))}" + return hashlib.md5(content.encode()).hexdigest() + + +def get_measure_expr_hashes(measures: List[PreAggMeasure]) -> Set[str]: + """ + Extract expression hashes from a list of measures. + + Args: + measures: List of PreAggMeasure objects + + Returns: + Set of expression hashes + """ + return {m.expr_hash for m in measures if m.expr_hash} + + +def compute_preagg_hash( + node_revision_id: int, + grain_columns: List[str], + measures: List[PreAggMeasure], +) -> str: + """ + Compute a unique hash for a pre-aggregation. + + This hash uniquely identifies a pre-aggregation by combining: + - node_revision_id: Which node version + - grain_columns: What dimensions we're grouping by + - measure expr_hashes: What aggregations we're computing + + Args: + node_revision_id: The ID of the node revision + grain_columns: Fully qualified dimension/column references + measures: List of PreAggMeasure objects + + Returns: + MD5 hash string (8 chars) uniquely identifying this pre-agg + """ + measure_hashes = sorted([m.expr_hash for m in measures if m.expr_hash]) + content = ( + f"{node_revision_id}:" + f"{json.dumps(sorted(grain_columns))}:" + f"{json.dumps(measure_hashes)}" + ) + return hashlib.md5(content.encode()).hexdigest()[:8] + + +class PreAggregation(Base): + """ + First-class pre-aggregation entity that can be shared across cubes. + + A pre-aggregation represents a materialized grouping of measures at a specific grain, + enabling efficient metric calculations by pre-computing aggregations. + + Pre-aggregations are ALWAYS created by DJ (via /preaggs/plan endpoint) from + metrics + dimensions. Users never manually construct them - this ensures + consistency between DJ-managed (Flow A) and user-managed (Flow B) materialization. + + Key concepts: + - `node_revision`: The specific node revision this pre-agg is based on + - `grain_columns`: Fully qualified dimension references that define the aggregation level + - `measures`: Full MetricComponent info for matching and re-aggregation + - `sql`: The generated SQL for materializing this pre-agg + - `grain_group_hash`: Hash of (node_revision_id + sorted(grain_columns)) for grouping + + Measure format (MetricComponent): + - name: Column name in materialized table + - expression: The raw SQL expression + - expr_hash: Hash of expression for identity matching + - aggregation: Phase 1 function (e.g., "SUM") + - merge: Phase 2 re-aggregation function + - rule: Aggregation rules (type, level) + + Availability tracking: + - Materialization status is tracked via AvailabilityState + - Flow A: DJ's query service posts availability after materialization + - Flow B: User's query service posts to /preaggs/{id}/availability/ + """ + + __tablename__ = "pre_aggregation" + + id: Mapped[int] = mapped_column( + sa.BigInteger(), + primary_key=True, + autoincrement=True, + ) + + # This is for a specific node revision + node_revision_id: Mapped[int] = mapped_column( + ForeignKey( + "noderevision.id", + name="fk_pre_aggregation_node_revision_id_noderevision", + ondelete="CASCADE", + ), + nullable=False, + index=True, + ) + + # Grain columns are fully qualified dimension/column references: + # - Linked dimensions: "namespace.dim_node.column" (e.g., "default.date_dim.date_id") + # - Direct columns on node: "namespace.node.column" (e.g., "default.orders.order_status") + grain_columns: Mapped[List[str]] = mapped_column(JSON, nullable=False) + + # Measures with full MetricComponent info for matching and re-aggregation + # Stored as PreAggMeasure which extends MetricComponent with expr_hash + measures: Mapped[List[PreAggMeasure]] = mapped_column( + PydanticListType(PreAggMeasure), + nullable=False, + ) + + # Output columns with types (grain columns + measure columns) + # This stores the schema of the materialized table for: + # - Table creation with correct types + # - Validation of materialized data + columns: Mapped[Optional[List[V3ColumnMetadata]]] = mapped_column( + PydanticListType(V3ColumnMetadata), + nullable=True, + ) + + # The SQL for materializing this pre-agg (always DJ-generated) + sql: Mapped[str] = mapped_column(Text, nullable=False) + + # Grain group key: hash(node_revision_id + sorted(grain_columns)) + # Groups pre-aggs by revision+grain. Multiple pre-aggs can share this hash. + grain_group_hash: Mapped[str] = mapped_column( + String, + nullable=False, + index=True, + ) + + # === Materialization Config === + strategy: Mapped[Optional[MaterializationStrategy]] = mapped_column( + Enum(MaterializationStrategy), + nullable=True, + ) + + # Cron expression for scheduled materialization + schedule: Mapped[Optional[str]] = mapped_column(String, nullable=True) + + # Lookback window for incremental materialization (e.g., "3 days") + lookback_window: Mapped[Optional[str]] = mapped_column(String, nullable=True) + + # === Workflow State === + # Labeled workflow URLs: [WorkflowUrl(label="scheduled", url="..."), ...] + # Scheduler-agnostic: DJ Server stores what Query Service returns + workflow_urls: Mapped[Optional[List[WorkflowUrl]]] = mapped_column( + PydanticListType(WorkflowUrl), + nullable=True, + ) + + # Workflow status: "active" | "paused" | None (no workflow) + workflow_status: Mapped[Optional[str]] = mapped_column(String, nullable=True) + + # === Availability === + availability_id: Mapped[Optional[int]] = mapped_column( + ForeignKey( + "availabilitystate.id", + name="fk_pre_aggregation_availability_id_availabilitystate", + ), + nullable=True, + ) + + # === Metadata === + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=partial(datetime.now, timezone.utc), + nullable=False, + ) + updated_at: Mapped[Optional[UTCDatetime]] = mapped_column( + DateTime(timezone=True), + onupdate=partial(datetime.now, timezone.utc), + nullable=True, + ) + + # === Relationships === + node_revision: Mapped["NodeRevision"] = relationship( + "NodeRevision", + passive_deletes=True, + ) + availability: Mapped[Optional["AvailabilityState"]] = relationship( + "AvailabilityState", + ) + + @property + def materialized_table_ref(self) -> Optional[str]: + """Full table reference for SQL substitution. Derived from availability.""" + if not self.availability: + return None + parts = [ + p + for p in [ + self.availability.catalog, + self.availability.schema_, + self.availability.table, + ] + if p + ] + return ".".join(parts) if parts else None + + @property + def status(self) -> str: + """Derived from availability state.""" + if not self.availability: + return "pending" + return "active" + + @property + def max_partition(self) -> Optional[List[str]]: + """High-water mark - data is available up to this partition.""" + if not self.availability: + return None + return self.availability.max_temporal_partition + + @classmethod + async def get_by_grain_group_hash( + cls, + session: AsyncSession, + grain_group_hash: str, + ) -> List["PreAggregation"]: + """ + Get all pre-aggregations with the given grain group hash. + """ + from sqlalchemy.orm import joinedload, selectinload + + from datajunction_server.database.dimensionlink import DimensionLink + + statement = ( + select(cls) + .options( + joinedload(cls.node_revision).options( + selectinload(NodeRevision.columns), + selectinload(NodeRevision.dimension_links).options( + joinedload(DimensionLink.dimension), + ), + ), + ) + .where(cls.grain_group_hash == grain_group_hash) + ) + result = await session.execute(statement) + return list(result.scalars().unique().all()) + + @classmethod + async def get_by_id( + cls, + session: AsyncSession, + pre_agg_id: int, + ) -> Optional["PreAggregation"]: + """Get a pre-aggregation by ID.""" + statement = select(cls).where(cls.id == pre_agg_id) + result = await session.execute(statement) + return result.scalar_one_or_none() + + @classmethod + async def find_matching( + cls, + session: AsyncSession, + node_revision_id: int, + grain_columns: List[str], + measure_expr_hashes: Set[str], + ) -> Optional["PreAggregation"]: + """ + Find an existing pre-agg that covers the requested measures. + + Looks up by grain_group_hash, then checks if any candidate + has a superset of the required measures (by expr_hash). + + Returns: + Matching PreAggregation if found, None otherwise + """ + grain_group_hash = compute_grain_group_hash(node_revision_id, grain_columns) + candidates = await cls.get_by_grain_group_hash(session, grain_group_hash) + + for candidate in candidates: + existing_hashes = get_measure_expr_hashes(candidate.measures) + if measure_expr_hashes <= existing_hashes: + return candidate + + return None + + # TODO: Remove this once we have a way to test pre-aggregations + def get_column_type( # pragma: no cover + self, + col_name: str, + default: str = "string", + ) -> str: + """Look up column type from pre-aggregation metadata.""" + if self.columns: + for col in self.columns: + if col.name == col_name: + return col.type + return default diff --git a/datajunction-server/datajunction_server/database/queryrequest.py b/datajunction-server/datajunction_server/database/queryrequest.py new file mode 100644 index 000000000..df0435834 --- /dev/null +++ b/datajunction-server/datajunction_server/database/queryrequest.py @@ -0,0 +1,402 @@ +"""Query request schema.""" + +from dataclasses import dataclass +from datetime import datetime, timezone +from functools import partial +from typing import List, Optional + +from sqlalchemy import ( + JSON, + BigInteger, + DateTime, + Enum, + UniqueConstraint, + text, +) +from sqlalchemy.dialects.postgresql import JSONB +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import Mapped, joinedload, mapped_column, selectinload + +from datajunction_server.construction.utils import to_namespaced_name +from datajunction_server.database.base import Base +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.enum import StrEnum +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.typing import UTCDatetime + + +class QueryBuildType(StrEnum): + """ + Query building type. + + There are three types of query building patterns that DJ supports: + * Metrics SQL + * Measures SQL + * Node SQL + """ + + METRICS = "metrics" + MEASURES = "measures" + NODE = "node" + + +class QueryRequest(Base): # type: ignore + """ + A query request represents a request for DJ to build a query. + + This table consists of the request key (i.e., all the inputs that uniquely define a + query building request) and the request results (the built query and columns metadata) + """ + + __tablename__ = "queryrequest" + __table_args__ = ( + UniqueConstraint( + "query_type", + "nodes", + "parents", + "dimensions", + "filters", + "engine_name", + "engine_version", + "limit", + "orderby", + name="query_request_unique", + postgresql_nulls_not_distinct=True, + ), + ) + + id: Mapped[int] = mapped_column( + BigInteger(), + primary_key=True, + ) + + # ------------- # + # Request key # + # ------------- # + + # The type of query (metrics, measures, node) + query_type: Mapped[str] = mapped_column(Enum(QueryBuildType)) + + # A list of the nodes that SQL is being requested for, with node versions. This may + # be a list of metrics or a single transform, metric, or dimension node, depending + # on the query type. + nodes: Mapped[List[str]] = mapped_column( + JSONB, + nullable=False, + server_default=text("'[]'::jsonb"), + ) + + # A list of all the parents of the nodes above, with node versions + parents: Mapped[List[str]] = mapped_column( + JSONB, + nullable=False, + server_default=text("'[]'::jsonb"), + ) + + # A list of dimension attributes requested, with node versions + dimensions: Mapped[List[str]] = mapped_column( + JSONB, + nullable=False, + server_default=text("'[]'::jsonb"), + ) + + # A list of filters requested, with node versions + filters: Mapped[List[str]] = mapped_column( + JSONB, + nullable=False, + server_default=text("'[]'::jsonb"), + ) + + # Limit set for the query (note: some query types don't have limit) + limit: Mapped[Optional[int]] + + # The ORDER BY clause requested, if any + orderby: Mapped[List[str]] = mapped_column( + JSONB, + nullable=False, + server_default=text("'[]'::jsonb"), + ) + + # The engine this query was built for (if any was set) + engine_name: Mapped[Optional[str]] + engine_version: Mapped[Optional[str]] + + # Additional input args + other_args: Mapped[JSON] = mapped_column( + JSONB, + nullable=False, + default=text("'{}'::jsonb"), + server_default=text("'{}'::jsonb"), + ) + + # --------------------------------------------------- # + # Request results # + # (values needed to rebuild a TranslatedSQL object) # + # --------------------------------------------------- # + query: Mapped[str] + columns: Mapped[JSON] = mapped_column( + JSONB, + nullable=False, + server_default=text("'[]'::jsonb"), + ) + + # ---------- # + # Metadata # + # ---------- # + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=partial(datetime.now, timezone.utc), + ) + updated_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + default=partial(datetime.now, timezone.utc), + ) + # External identifier for the query + query_id: Mapped[Optional[str]] + + +@dataclass(order=True) +class VersionedNodeKey: + """ + A versioned key for a node, used to identify it in query requests. + """ + + name: str + version: str | None = None + + def __str__(self) -> str: + return f"{self.name}@{self.version}" if self.version else self.name + + def __eq__(self, value): + if isinstance(value, VersionedNodeKey): + return self.name == value.name and self.version == value.version + elif isinstance(value, str): + node_key = self.parse(value) + return self.name == node_key.name and self.version == node_key.version + return False + + def __hash__(self) -> int: + return hash((self.name, self.version)) + + @classmethod + def from_node(cls, node: Node) -> "VersionedNodeKey": + """ + Creates a versioned node key from a Node object. + """ + return cls(name=node.name, version=node.current_version) + + @classmethod + def parse(cls, node_key: str) -> "VersionedNodeKey": + """ + Parses the versioned node key into a dictionary. + """ + if "@" in node_key: + node_key, version = node_key.split("@", 1) + return VersionedNodeKey(name=node_key, version=version) + return VersionedNodeKey(name=node_key, version=None) + + +@dataclass +class VersionedQueryKey: + """ + A versioned query request encapsulates the logic to version nodes, dimensions, + filters, and order by statements. + """ + + nodes: list[VersionedNodeKey] + parents: list[VersionedNodeKey] + dimensions: list[VersionedNodeKey] + filters: list[str] + orderby: list[str] + + @classmethod + async def version_query_request( + cls, + session: AsyncSession, + nodes: list[str], + dimensions: list[str], + filters: list[str], + orderby: list[str], + ) -> "VersionedQueryKey": + """ + Versions a query request (e.g., nodes, dimensions, filters, and orderby). + """ + versioned_nodes, versioned_parents = await cls.version_nodes(session, nodes) + versioned_dims = await cls.version_dimensions( + session, + dimensions, + current_node=versioned_nodes[0] if versioned_nodes else None, + ) + return VersionedQueryKey( + nodes=versioned_nodes, + parents=versioned_parents, + dimensions=versioned_dims, + filters=await cls.version_filters(session, filters), + orderby=await cls.version_orderby(session, orderby), + ) + + @staticmethod + async def version_nodes( + session: AsyncSession, + nodes: list[str], + ) -> tuple[list[VersionedNodeKey], list[VersionedNodeKey]]: + """ + Creates a versioned node key for each node in the list of nodes, and + returns a list of versioned parents for the nodes. + """ + nodes_objs = { + node.name: node + for node in await Node.get_by_names( + session, + nodes, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.columns), + selectinload(NodeRevision.parents).options( + joinedload(Node.current), + ), + ), + ], + ) + } + versioned_parents = sorted( + { + VersionedNodeKey.from_node(parent) + for node in nodes_objs.values() + for parent in node.current.parents + }, + ) + versioned_nodes = [ + VersionedNodeKey.from_node(nodes_objs[node_name]) + for node_name in nodes + if node_name in nodes_objs + ] + return versioned_nodes, versioned_parents + + @staticmethod + async def version_dimensions( + session: AsyncSession, + dimensions: list[str], + current_node: VersionedNodeKey | None = None, + ) -> list[VersionedNodeKey]: + """ + Versions the dimensions by creating a versioned node key for each dimension. + """ + node_names = [ + name + for name in [".".join(dim.split(".")[:-1]) for dim in dimensions] + if name + ] + dimension_nodes = { + node.name: node + for node in await Node.get_by_names( + session, + node_names, + ) + } + return [ + VersionedNodeKey( + dim, + dimension_nodes[name].current_version + if name in dimension_nodes and dimension_nodes[name] + else current_node.version + if current_node + else None, + ) + for dim, name in zip(dimensions, node_names) + ] + + @staticmethod + async def version_filters(session: AsyncSession, filters: list[str]) -> list[str]: + """ + Versions the filters by parsing them and replacing dimension / metrics references + with their versioned node keys. + """ + results = [] + for filter_ in filters: + if not filter_: + continue # pragma: no cover + ast_tree = parse(f"SELECT 1 WHERE {filter_}") + for col in ast_tree.select.where.find_all(ast.Column): # type: ignore + # Extract role if column is subscripted + if isinstance(col.parent, ast.Subscript): + if isinstance(col.parent.index, ast.Lambda): + col.role = str(col.parent.index) # pragma: no cover + else: + col.role = col.parent.index.identifier() # type: ignore + col.parent.swap(col) + + # Try resolving as metric node first + col_name = col.identifier() + metric_node = await Node.get_by_name( + session, + col_name, + options=[], + ) + if metric_node: + versioned_node_name = str(VersionedNodeKey.from_node(metric_node)) + col.name = to_namespaced_name(versioned_node_name) + else: + # Fallback to dimension node + dim_node_name = ".".join(col_name.split(".")[:-1]) + dim_node = await Node.get_by_name( + session, + dim_node_name, + options=[], + ) + if dim_node: + col.alias_or_name.name = to_namespaced_name( + f"{col.alias_or_name.name}" + f"{'[' + col.role + ']' if col.role else ''}" + f"@{dim_node.current_version}", + ) + results.append(str(ast_tree.select.where)) + return results + + @staticmethod + async def version_orderby(session: AsyncSession, orderby: list[str]) -> list[str]: + """ + This handles versioning two types of ORDER BY clauses: + * dimension order bys: + * metric order bys: + """ + results = [] + for order in orderby: + parts = order.split(" ") + order_by_col = parts[0] + order_by_metric_node = await Node.get_by_name( + session, + order_by_col, + options=[], + ) + if order_by_metric_node: + # If it was a metric node in the order by clause, version the metric node + parts[0] = str(VersionedNodeKey.from_node(order_by_metric_node)) + else: + # Otherwise it is a dimension attribute + versioned_dim = await VersionedQueryKey.version_dimensions( + session, + [order_by_col], + ) + parts[0] = str(versioned_dim[0]) + results.append(" ".join(parts)) + return results + + +@dataclass +class QueryRequestKey: + """ + A cacheable query request encapsulates the logic to build a cache key for a query request. + """ + + key: VersionedQueryKey + query_type: QueryBuildType + engine_name: str + engine_version: str + limit: int | None + include_all_columns: bool + preaggregate: bool + use_materialized: bool + query_parameters: dict + other_args: dict diff --git a/datajunction-server/datajunction_server/database/rbac.py b/datajunction-server/datajunction_server/database/rbac.py new file mode 100644 index 000000000..c00465a27 --- /dev/null +++ b/datajunction-server/datajunction_server/database/rbac.py @@ -0,0 +1,361 @@ +"""RBAC database schema.""" + +from datetime import datetime, timezone +from functools import partial +from typing import TYPE_CHECKING, List, Optional + +from sqlalchemy import ( + BigInteger, + DateTime, + Enum, + ForeignKey, + Index, + Integer, + String, + Text, + select, +) +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import Mapped, mapped_column, relationship, selectinload + +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.models.access import ResourceType, ResourceAction +from datajunction_server.database.base import Base +from datajunction_server.typing import UTCDatetime + +if TYPE_CHECKING: + from datajunction_server.database.user import User + + +class Role(Base): + """ + A named collection of permissions (scopes). + + Unlike traditional RBAC where roles have fixed meanings, + DJ roles are flexible labels for custom permission sets. + + Examples: + - "growth-data-eng": read+write on growth.*, read on member.* + - "finance-owners": read+write+manage on finance.* + - "ci-bot-staging": read+write+execute on staging.* + """ + + __tablename__ = "roles" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + name: Mapped[str] = mapped_column(String(255), unique=True, nullable=False) + description: Mapped[Optional[str]] = mapped_column(Text, nullable=True) + + created_by_id: Mapped[int] = mapped_column( + ForeignKey("users.id"), + nullable=False, + ) + created_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + + # Soft delete for audit trail (who deleted is in History table) + deleted_at: Mapped[Optional[UTCDatetime]] = mapped_column( + DateTime(timezone=True), + nullable=True, + ) + + # Relationships + created_by: Mapped["User"] = relationship( + "User", + foreign_keys=[created_by_id], + lazy="selectin", + ) + scopes: Mapped[list["RoleScope"]] = relationship( + "RoleScope", + back_populates="role", + cascade="all, delete-orphan", + ) + assignments: Mapped[list["RoleAssignment"]] = relationship( + "RoleAssignment", + back_populates="role", + cascade="all, delete-orphan", + ) + + __table_args__ = ( + Index("idx_roles_name", "name"), + Index("idx_roles_created_by", "created_by_id"), + Index("idx_roles_deleted_at", "deleted_at"), + ) + + @classmethod + async def get_by_name( + cls, + session: AsyncSession, + name: str, + include_deleted: bool = False, + options: Optional[List] = None, + ) -> Optional["Role"]: + """ + Get a role by name. + + Args: + session: Database session + name: Role name + include_deleted: Whether to include soft-deleted roles + options: Additional query options + + Returns: + Role if found, None otherwise + """ + statement = select(Role).where(Role.name == name) + + if not include_deleted: + statement = statement.where(Role.deleted_at.is_(None)) + + if options: + statement = statement.options(*options) + else: + statement = statement.options( + selectinload(Role.scopes), + selectinload(Role.created_by), + ) + + result = await session.execute(statement) + return result.scalar_one_or_none() + + @classmethod + async def get_by_name_or_raise( + cls, + session: AsyncSession, + name: str, + include_deleted: bool = False, + options: Optional[List] = None, + ) -> "Role": + """ + Get a role by name, raising an exception if not found. + + Args: + session: Database session + name: Role name + include_deleted: Whether to include soft-deleted roles + options: Additional query options + + Returns: + Role (never None) + + Raises: + DJDoesNotExistException: If role not found + """ + role = await cls.get_by_name(session, name, include_deleted, options) + if not role: + raise DJDoesNotExistException( + message=f"A role with name `{name}` does not exist.", + ) + return role + + @classmethod + async def find( + cls, + session: AsyncSession, + include_deleted: bool = False, + created_by_id: Optional[int] = None, + limit: int = 100, + offset: int = 0, + ) -> List["Role"]: + """ + Find roles with optional filters. + + Args: + session: Database session + include_deleted: Whether to include soft-deleted roles + created_by_id: Filter by creator + limit: Maximum number of results + offset: Number of results to skip + + Returns: + List of roles + """ + statement = select(Role) + + if not include_deleted: # pragma: no cover + statement = statement.where(Role.deleted_at.is_(None)) + + if created_by_id is not None: + statement = statement.where(Role.created_by_id == created_by_id) + + statement = ( + statement.options( + selectinload(Role.scopes), + selectinload(Role.created_by), + ) + .order_by(Role.name) + .limit(limit) + .offset(offset) + ) + + result = await session.execute(statement) + return list(result.scalars().all()) + + +class RoleScope(Base): + """ + Individual permission within a role. + + Defines: what action, on what type of resource, with what pattern. + + Examples: + - action="read", scope_type="namespace", scope_value="finance.*" + - action="write", scope_type="node", scope_value="finance.revenue" + - action="manage", scope_type="namespace", scope_value="*" + """ + + __tablename__ = "role_scopes" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + role_id: Mapped[int] = mapped_column( + ForeignKey("roles.id", ondelete="CASCADE"), + nullable=False, + ) + + action: Mapped[ResourceAction] = mapped_column(Enum(ResourceAction), nullable=False) + scope_type: Mapped[ResourceType] = mapped_column( + Enum(ResourceType), + nullable=False, + ) + scope_value: Mapped[str] = mapped_column(String(500), nullable=False) + + # Relationships + role: Mapped[Role] = relationship("Role", back_populates="scopes") + + __table_args__ = ( + # Prevent duplicate scopes within a role + Index( + "idx_unique_role_scope", + "role_id", + "action", + "scope_type", + "scope_value", + unique=True, + ), + Index("idx_role_scopes_role_id", "role_id"), + ) + + +class RoleAssignment(Base): + """ + Assigns a role to a principal (user/service account/group). + + Examples: + - User alice (id=42) has role "growth-editors" (id=1) + - Group finance-team (id=101) has role "finance-owners" (id=2) + - Service account ci-bot (id=99) has role "staging-deployer" (id=3) + """ + + __tablename__ = "role_assignments" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + + # WHO: Principal (user, service account, or group) + principal_id: Mapped[int] = mapped_column( + ForeignKey("users.id", ondelete="CASCADE"), + nullable=False, + ) + + # WHAT: Role + role_id: Mapped[int] = mapped_column( + ForeignKey("roles.id", ondelete="CASCADE"), + nullable=False, + ) + + # Metadata + granted_by_id: Mapped[int] = mapped_column( + ForeignKey("users.id"), + nullable=False, + ) + granted_at: Mapped[UTCDatetime] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + ) + expires_at: Mapped[Optional[UTCDatetime]] = mapped_column( + DateTime(timezone=True), + nullable=True, + ) + + # Relationships + principal: Mapped["User"] = relationship( + "User", + foreign_keys=[principal_id], + lazy="selectin", + ) + role: Mapped[Role] = relationship( + "Role", + back_populates="assignments", + lazy="selectin", + ) + granted_by: Mapped["User"] = relationship( + "User", + foreign_keys=[granted_by_id], + lazy="selectin", + ) + + __table_args__ = ( + # Prevent assigning the same role twice to the same principal + Index( + "idx_unique_role_assignment", + "principal_id", + "role_id", + unique=True, + ), + Index("idx_role_assignments_principal", "principal_id"), + Index("idx_role_assignments_role", "role_id"), + ) + + @classmethod + async def find( + cls, + session: AsyncSession, + principal_id: Optional[int] = None, + role_id: Optional[int] = None, + limit: int = 100, + offset: int = 0, + ) -> List["RoleAssignment"]: + """ + Find role assignments with optional filters. + + Args: + session: Database session + principal_id: Filter by principal + role_id: Filter by role + limit: Maximum number of results + offset: Number of results to skip + + Returns: + List of role assignments + """ + statement = select(RoleAssignment) + + if principal_id is not None: + statement = statement.where(RoleAssignment.principal_id == principal_id) + + if role_id is not None: # pragma: no cover + statement = statement.where(RoleAssignment.role_id == role_id) + + statement = ( + statement.options( + selectinload(RoleAssignment.principal), + selectinload(RoleAssignment.role).selectinload(Role.scopes), + selectinload(RoleAssignment.granted_by), + ) + .order_by(RoleAssignment.granted_at.desc()) + .limit(limit) + .offset(offset) + ) + + result = await session.execute(statement) + return list(result.scalars().all()) diff --git a/datajunction-server/datajunction_server/database/tag.py b/datajunction-server/datajunction_server/database/tag.py new file mode 100644 index 000000000..47aaab769 --- /dev/null +++ b/datajunction-server/datajunction_server/database/tag.py @@ -0,0 +1,127 @@ +"""Tag database schema.""" + +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +from sqlalchemy import JSON, BigInteger, Column, ForeignKey, Integer, String, select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import Mapped, joinedload, mapped_column, relationship +from sqlalchemy.sql.base import ExecutableOption + +from datajunction_server.database.base import Base +from datajunction_server.database.user import User +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.models.base import labelize + +if TYPE_CHECKING: + from datajunction_server.database.node import Node + + +class Tag(Base): + """ + A tag. + """ + + __tablename__ = "tag" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + name: Mapped[str] = mapped_column(String, unique=True) + tag_type: Mapped[str] + description: Mapped[Optional[str]] + display_name: Mapped[str] = mapped_column( # pragma: no cover + String, + insert_default=lambda context: labelize(context.current_parameters.get("name")), + ) + created_by_id: Mapped[int] = Column(Integer, ForeignKey("users.id"), nullable=False) + created_by: Mapped[User] = relationship( + "User", + back_populates="created_tags", + foreign_keys=[created_by_id], + lazy="selectin", + ) + tag_metadata: Mapped[Optional[Dict[str, Any]]] = mapped_column(JSON, default={}) + + nodes: Mapped[List["Node"]] = relationship( + back_populates="tags", + secondary="tagnoderelationship", + primaryjoin="TagNodeRelationship.tag_id==Tag.id", + secondaryjoin="TagNodeRelationship.node_id==Node.id", + ) + + @classmethod + async def find_tags( + cls, + session: AsyncSession, + tag_names: list[str] | None = None, + tag_types: list[str] | None = None, + ) -> list["Tag"]: + """ + Find tags by name or tag type. + """ + statement = select(Tag) + if tag_names: + statement = statement.where(Tag.name.in_(tag_names)) + if tag_types: + statement = statement.where(Tag.tag_type.in_(tag_types)) + return (await session.execute(statement)).scalars().all() + + @classmethod + async def get_tag_types(cls, session: AsyncSession) -> list[str]: + """ + Get all unique tag types. + """ + statement = select(Tag.tag_type).distinct() + return (await session.execute(statement)).scalars().all() + + @classmethod + async def list_nodes_with_tag( + cls, + session: AsyncSession, + tag_name: str, + options: List[ExecutableOption] | None = None, + ) -> list["Node"]: + """ + Find nodes with the tag. + """ + statement = select(cls).where(Tag.name == tag_name) + base_options = joinedload(Tag.nodes) + if options: # pragma: no branch + base_options = base_options.options(*options) + statement = statement.options(base_options) + tag = (await session.execute(statement)).unique().scalars().one_or_none() + if not tag: # pragma: no cover + raise DJDoesNotExistException( + message=f"A tag with name `{tag_name}` does not exist.", + http_status_code=404, + ) + return sorted( + [node for node in tag.nodes if not node.deactivated_at], + key=lambda x: x.name, + ) + + +class TagNodeRelationship(Base): + """ + Join table between tags and nodes + """ + + __tablename__ = "tagnoderelationship" + + tag_id: Mapped[int] = mapped_column( + ForeignKey( + "tag.id", + name="fk_tagnoderelationship_tag_id_tag", + ondelete="CASCADE", + ), + primary_key=True, + ) + node_id: Mapped[int] = mapped_column( + ForeignKey( + "node.id", + name="fk_tagnoderelationship_node_id_node", + ondelete="CASCADE", + ), + primary_key=True, + ) diff --git a/datajunction-server/datajunction_server/database/user.py b/datajunction-server/datajunction_server/database/user.py new file mode 100644 index 000000000..e64f60eed --- /dev/null +++ b/datajunction-server/datajunction_server/database/user.py @@ -0,0 +1,259 @@ +"""User database schema.""" + +import logging +from typing import TYPE_CHECKING, Optional + +from sqlalchemy import ( + BigInteger, + Enum, + Integer, + String, + ForeignKey, + case, + select, + DateTime, + and_, +) +from datetime import datetime, timezone +from functools import partial + +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import Mapped, mapped_column, relationship +from sqlalchemy.sql.base import ExecutableOption +from sqlalchemy.orm import selectinload +from datajunction_server.database.base import Base +from datajunction_server.database.nodeowner import NodeOwner +from datajunction_server.enum import StrEnum +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.typing import UTCDatetime + +if TYPE_CHECKING: + from datajunction_server.database.collection import Collection + from datajunction_server.database.group_member import GroupMember + from datajunction_server.database.node import Node, NodeRevision + from datajunction_server.database.notification_preference import ( + NotificationPreference, + ) + from datajunction_server.database.rbac import RoleAssignment + from datajunction_server.database.tag import Tag + +logger = logging.getLogger(__name__) + + +class OAuthProvider(StrEnum): + """ + Support oauth providers + """ + + BASIC = "basic" + GITHUB = "github" + GOOGLE = "google" + + +class PrincipalKind(StrEnum): + """ + Principal kinds: users, service accounts, and groups + """ + + USER = "user" + SERVICE_ACCOUNT = "service_account" + GROUP = "group" + + +class User(Base): + """Class for a user.""" + + __tablename__ = "users" + + id: Mapped[int] = mapped_column( + BigInteger().with_variant(Integer, "sqlite"), + primary_key=True, + ) + username: Mapped[str] = mapped_column(String, unique=True) + password: Mapped[Optional[str]] + email: Mapped[Optional[str]] + name: Mapped[Optional[str]] + oauth_provider: Mapped[OAuthProvider] = mapped_column( + Enum(OAuthProvider), + ) + is_admin: Mapped[bool] = mapped_column(default=False) + kind: Mapped[PrincipalKind] = mapped_column( + Enum(PrincipalKind), + default=PrincipalKind.USER, + ) + + created_by_id: Mapped[int | None] = mapped_column( + ForeignKey("users.id"), + nullable=True, + ) + + created_at: Mapped[UTCDatetime | None] = mapped_column( + DateTime(timezone=True), + insert_default=partial(datetime.now, timezone.utc), + nullable=True, + ) + + # Timestamp when user last viewed notifications (for unread badge) + last_viewed_notifications_at: Mapped[UTCDatetime | None] = mapped_column( + DateTime(timezone=True), + nullable=True, + default=None, + ) + + created_by: Mapped["User"] = relationship("User") + created_collections: Mapped[list["Collection"]] = relationship( + "Collection", + back_populates="created_by", + foreign_keys="Collection.created_by_id", + lazy="selectin", + ) + created_nodes: Mapped[list["Node"]] = relationship( + "Node", + back_populates="created_by", + foreign_keys="Node.created_by_id", + lazy="selectin", + ) + created_node_revisions: Mapped[list["NodeRevision"]] = relationship( + "NodeRevision", + back_populates="created_by", + foreign_keys="NodeRevision.created_by_id", + ) + created_tags: Mapped[list["Tag"]] = relationship( + "Tag", + back_populates="created_by", + foreign_keys="Tag.created_by_id", + lazy="selectin", + ) + notification_preferences: Mapped[list["NotificationPreference"]] = relationship( + "NotificationPreference", + back_populates="user", + lazy="selectin", + ) + owned_associations: Mapped[list[NodeOwner]] = relationship( + "NodeOwner", + back_populates="user", + cascade="all, delete-orphan", + viewonly=True, + ) + owned_nodes = relationship( + "Node", + secondary="node_owners", + back_populates="owners", + overlaps="owned_associations,user", + lazy="selectin", + viewonly=True, + ) + + # Group membership relationships (for kind=GROUP) + # Groups that this user owns (for kind=GROUP) + group_members: Mapped[list["GroupMember"]] = relationship( + "GroupMember", + foreign_keys="GroupMember.group_id", + viewonly=True, + ) + # Memberships where this user is a member of groups (for kind=USER or SERVICE_ACCOUNT) + member_of: Mapped[list["GroupMember"]] = relationship( + "GroupMember", + foreign_keys="GroupMember.member_id", + viewonly=True, + ) + + # RBAC role assignments (for authorization) + role_assignments: Mapped[list["RoleAssignment"]] = relationship( + "RoleAssignment", + foreign_keys="RoleAssignment.principal_id", + viewonly=True, + ) + + @classmethod + async def get_by_username( + cls, + session: AsyncSession, + username: str, + options: list[ExecutableOption] = None, + ) -> Optional["User"]: + """ + Find a user by username + """ + options = ( + options + if options is not None + else [ + selectinload(User.created_nodes), + selectinload(User.created_collections), + selectinload(User.created_tags), + selectinload(User.owned_nodes), + selectinload(User.notification_preferences), + ] + ) + statement = select(User).where(User.username == username).options(*options) + result = await session.execute(statement) + return result.unique().scalar_one_or_none() + + @classmethod + async def get_by_usernames( + cls, + session: AsyncSession, + usernames: list[str], + raise_if_not_exists: bool = True, + ) -> list["User"]: + """ + Find users by username, preserving the order of the input usernames list. + """ + if not usernames: + return [] + + order_case = case( + {username: index for index, username in enumerate(usernames)}, + value=User.username, + ) + + statement = ( + select(User).where(User.username.in_(usernames)).order_by(order_case) + ) + result = await session.execute(statement) + users = result.unique().scalars().all() + if len(users) != len(usernames) and raise_if_not_exists: + missing_usernames = set(usernames) - {user.username for user in users} + raise DJDoesNotExistException( + f"Users not found: {', '.join(missing_usernames)}", + ) + return users + + @classmethod + async def get_service_accounts_for_user_id( + cls, + session: AsyncSession, + user_id: int, + options: list[ExecutableOption] = None, + ) -> list["User"]: + """ + Find service accounts created by a user + """ + logger.info("Getting service accounts for user_id=%s", user_id) + options = options or [ + selectinload(User.created_nodes), + selectinload(User.created_collections), + selectinload(User.created_tags), + selectinload(User.owned_nodes), + ] + + statement = ( + select(User) + .where( + and_( + User.created_by_id == user_id, + User.kind == PrincipalKind.SERVICE_ACCOUNT, + ), + ) + .options(*options) + ) + + result = await session.execute(statement) + service_accounts = result.unique().scalars().all() + logger.info( + "Found %d service accounts for user_id=%s", + len(service_accounts), + user_id, + ) + return service_accounts diff --git a/datajunction-server/datajunction_server/enum.py b/datajunction-server/datajunction_server/enum.py new file mode 100644 index 000000000..cf348c444 --- /dev/null +++ b/datajunction-server/datajunction_server/enum.py @@ -0,0 +1,25 @@ +""" +Backwards-compatible StrEnum for both Python >= and < 3.11 +""" + +import enum +import sys + +if sys.version_info >= (3, 11): + from enum import ( # pragma: no cover + IntEnum, + StrEnum, + ) +else: + + class StrEnum(str, enum.Enum): # pragma: no cover + """Backwards compatible StrEnum for Python < 3.11""" # pragma: no cover + + def __repr__(self): + return str(self.value) + + def __str__(self): + return str(self.value) + + class IntEnum(int, enum.Enum): # pragma: no cover + """Backwards compatible IntEnum for Python < 3.11""" # pragma: no cover diff --git a/datajunction-server/datajunction_server/errors.py b/datajunction-server/datajunction_server/errors.py new file mode 100644 index 000000000..33d637f0b --- /dev/null +++ b/datajunction-server/datajunction_server/errors.py @@ -0,0 +1,383 @@ +""" +Errors and warnings. +""" + +from http import HTTPStatus +from typing import Any, Dict, List, Literal, Optional, TypedDict + +from pydantic.main import BaseModel + +from datajunction_server.enum import IntEnum + + +class ErrorCode(IntEnum): + """ + Error codes. + """ + + # generic errors + UNKNOWN_ERROR = 0 + NOT_IMPLEMENTED_ERROR = 1 + ALREADY_EXISTS = 2 + + # metric API + INVALID_FILTER_PATTERN = 100 + INVALID_COLUMN_IN_FILTER = 101 + INVALID_VALUE_IN_FILTER = 102 + + # SQL API + INVALID_ARGUMENTS_TO_FUNCTION = 200 + INVALID_SQL_QUERY = 201 + MISSING_COLUMNS = 202 + UNKNOWN_NODE = 203 + NODE_TYPE_ERROR = 204 + INVALID_DIMENSION_JOIN = 205 + INVALID_COLUMN = 206 + QUERY_SERVICE_ERROR = 207 + INVALID_ORDER_BY = 208 + + # SQL Build Error + COMPOUND_BUILD_EXCEPTION = 300 + MISSING_PARENT = 301 + TYPE_INFERENCE = 302 + MISSING_PARAMETER = 303 + + # Authentication + AUTHENTICATION_ERROR = 400 + OAUTH_ERROR = 401 + INVALID_LOGIN_CREDENTIALS = 402 + USER_NOT_FOUND = 403 + + # Authorization + UNAUTHORIZED_ACCESS = 500 + INCOMPLETE_AUTHORIZATION = 501 + + # Node validation + INVALID_PARENT = 600 + INVALID_DIMENSION = 601 + INVALID_METRIC = 602 + INVALID_DIMENSION_LINK = 603 + INVALID_CUBE = 604 + + # Deployment + TAG_NOT_FOUND = 700 + CATALOG_NOT_FOUND = 701 + INVALID_NAMESPACE = 702 + + +class DebugType(TypedDict, total=False): + """ + Type for debug information. + """ + + # link to where an issue can be filed + issue: str + + # link to documentation about the problem + documentation: str + + # any additional context + context: Dict[str, Any] + + +class DJErrorType(TypedDict): + """ + Type for serialized errors. + """ + + code: int + message: str + debug: Optional[DebugType] + + +class DJError(BaseModel): + """ + An error. + """ + + code: ErrorCode + message: str + debug: Optional[Dict[str, Any]] = None + context: str = "" + + def __str__(self) -> str: + """ + Format the error nicely. + """ + context = f" from `{self.context}`" if self.context else "" + return f"{self.message}{context} (error code: {self.code})" + + +class DJErrorException(Exception): + """ + Wrapper allows raising DJError + """ + + def __init__(self, dj_error: DJError): + self.dj_error = dj_error + + +class DJWarningType(TypedDict): + """ + Type for serialized warnings. + """ + + code: Optional[int] + message: str + debug: Optional[DebugType] + + +class DJWarning(BaseModel): + """ + A warning. + """ + + code: Optional[ErrorCode] = None + message: str + debug: Optional[Dict[str, Any]] = None + + +DBAPIExceptions = Literal[ + "Warning", + "Error", + "InterfaceError", + "DatabaseError", + "DataError", + "OperationalError", + "IntegrityError", + "InternalError", + "ProgrammingError", + "NotSupportedError", +] + + +class DJExceptionType(TypedDict): + """ + Type for serialized exceptions. + """ + + message: Optional[str] + errors: List[DJErrorType] + warnings: List[DJWarningType] + + +class DJException(Exception): + """ + Base class for errors. + """ + + message: str + errors: List[DJError] + warnings: List[DJWarning] + + # exception that should be raised when ``DJException`` is caught by the DB API cursor + dbapi_exception: DBAPIExceptions = "Error" + + # status code that should be returned when ``DJException`` is caught by the API layer + http_status_code: int = 500 + + def __init__( + self, + message: Optional[str] = None, + errors: Optional[List[DJError]] = None, + warnings: Optional[List[DJWarning]] = None, + dbapi_exception: Optional[DBAPIExceptions] = None, + http_status_code: Optional[int] = None, + ): + self.errors = errors or [] + self.warnings = warnings or [] + self.message = message or "\n".join(error.message for error in self.errors) + + if dbapi_exception is not None: + self.dbapi_exception = dbapi_exception + if http_status_code is not None: + self.http_status_code = http_status_code + + super().__init__(self.message) + + def to_dict(self) -> DJExceptionType: + """ + Convert to dict. + """ + return { + "message": self.message, + "errors": [error.model_dump() for error in self.errors], + "warnings": [warning.model_dump() for warning in self.warnings], + } + + def __str__(self) -> str: + """ + Format the exception nicely. + """ + if not self.errors: + return self.message + + plural = "s" if len(self.errors) > 1 else "" + combined_errors = "\n".join(f"- {error}" for error in self.errors) + errors = f"The following error{plural} happened:\n{combined_errors}" + + return f"{self.message}\n{errors}" + + def __eq__(self, other) -> bool: + return ( + isinstance(other, DJException) + and self.message == other.message + and self.errors == other.errors + and self.warnings == other.warnings + and self.dbapi_exception == other.dbapi_exception + and self.http_status_code == other.http_status_code + ) + + +class DJNodeNotFound(DJException): + """ + Exception raised when a given node name is not found. + """ + + http_status_code: int = HTTPStatus.NOT_FOUND + + +class DJInvalidInputException(DJException): + """ + Exception raised when the input provided by the user is invalid. + """ + + dbapi_exception: DBAPIExceptions = "ProgrammingError" + http_status_code: int = HTTPStatus.UNPROCESSABLE_ENTITY + + +class DJInvalidMetricQueryException(DJInvalidInputException): + """ + Exception raised when the metric query provided by the user is invalid. + """ + + http_status_code: int = HTTPStatus.BAD_REQUEST + + +class DJInvalidDeploymentConfig(DJInvalidInputException): + """ + Exception raised when the deployment configuration is incorrect. + """ + + +class DJNotImplementedException(DJException): + """ + Exception raised when some functionality hasn't been implemented in DJ yet. + """ + + dbapi_exception: DBAPIExceptions = "NotSupportedError" + http_status_code: int = 500 + + +class DJDatabaseException(DJException): + """ + Exception raised when the database returns an error. + """ + + dbapi_exception: DBAPIExceptions = "DatabaseError" + http_status_code: int = 500 + + +class DJInternalErrorException(DJException): + """ + Exception raised when we do something wrong in the code. + """ + + dbapi_exception: DBAPIExceptions = "InternalError" + http_status_code: int = 500 + + +class DJAlreadyExistsException(DJException): + """ + Exception raised when trying to create an entity that already exists. + """ + + dbapi_exception: DBAPIExceptions = "DataError" + http_status_code: int = HTTPStatus.CONFLICT + + +class DJDoesNotExistException(DJException): + """ + Exception raised when an entity doesn't exist. + """ + + dbapi_exception: DBAPIExceptions = "DataError" + http_status_code: int = HTTPStatus.NOT_FOUND + + +class DJQueryServiceClientException(DJException): + """ + Exception raised when the query service returns an error + """ + + dbapi_exception: DBAPIExceptions = "InterfaceError" + http_status_code: int = 500 + + +class DJQueryServiceClientEntityNotFound(DJException): + """ + Exception raised when an entity is not found on the query service + """ + + http_status_code: int = 404 + + +class DJActionNotAllowedException(DJException): + """ + Exception raised when an action is not allowed. + """ + + +class DJPluginNotFoundException(DJException): + """ + Exception raised when plugin is not found. + """ + + +class DJQueryBuildException(DJException): + """ + Exception raised when query building fails. + """ + + +class DJQueryBuildError(DJError): + """ + Query build error + """ + + +class DJAuthorizationException(DJException): + """ + Exception raised when the user is not authorized to perform a particular request + """ + + http_status_code: int = HTTPStatus.FORBIDDEN + message: str = "You do not have permission to perform this action." + + +class DJAuthenticationException(DJException): + """ + Exception raised when the user fails to authenticate. + """ + + http_status_code: int = HTTPStatus.UNAUTHORIZED + message: str = "Authentication failed. Please log in and try again." + + +class DJUninitializedResourceException(DJInternalErrorException): + """ + Raised when a required system resource (e.g., DatabaseSessionManager) is not initialized. + """ + + +class DJConfigurationException(DJException): + """ + Exception raised when there is a missing or incorrect system configuration + that prevents the operation from proceeding. + """ + + +class DJGraphCycleException(DJException): + """ + Exception raised when a cycle is detected in a graph during topological sorting. + """ diff --git a/datajunction-server/datajunction_server/internal/__init__.py b/datajunction-server/datajunction_server/internal/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/internal/access/__init__.py b/datajunction-server/datajunction_server/internal/access/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/internal/access/authentication/__init__.py b/datajunction-server/datajunction_server/internal/access/authentication/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/internal/access/authentication/basic.py b/datajunction-server/datajunction_server/internal/access/authentication/basic.py new file mode 100644 index 000000000..7bc332151 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authentication/basic.py @@ -0,0 +1,91 @@ +""" +Basic OAuth and JWT helper functions +""" + +import logging + +from passlib.context import CryptContext +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.sql.base import ExecutableOption +from sqlalchemy.orm import selectinload + +from datajunction_server.database.rbac import RoleAssignment, Role +from datajunction_server.database.user import User +from datajunction_server.errors import DJAuthenticationException, DJError, ErrorCode + +_logger = logging.getLogger(__name__) +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + + +def validate_password_hash(plain_password, hashed_password) -> bool: + """ + Verify a plain-text password against a hashed password + """ + return pwd_context.verify(plain_password, hashed_password) + + +def get_password_hash(password) -> str: + """ + Returns a hashed version of a plain-text password + """ + return pwd_context.hash(password) + + +async def get_user( + username: str, + session: AsyncSession, + options: list[ExecutableOption] | None = None, +) -> User: + """ + Get a DJ user + """ + from datajunction_server.database.group_member import GroupMember + + user = await User.get_by_username( + session=session, + username=username, + options=options + or [ + # Load user's direct role assignments + selectinload(User.role_assignments) + .selectinload(RoleAssignment.role) + .selectinload(Role.scopes), + # Load user's group memberships and the groups' role assignments + selectinload(User.member_of) + .selectinload(GroupMember.group) + .selectinload(User.role_assignments) + .selectinload(RoleAssignment.role) + .selectinload(Role.scopes), + ], + ) + if not user: + raise DJAuthenticationException( + errors=[ + DJError( + message=f"User {username} not found", + code=ErrorCode.USER_NOT_FOUND, + ), + ], + ) + return user + + +async def validate_user_password( + username: str, + password: str, + session: AsyncSession, +) -> User: + """ + Get a DJ user and verify that the provided password matches the hashed password + """ + user = await get_user(username=username, session=session) + if not validate_password_hash(password, user.password): + raise DJAuthenticationException( + errors=[ + DJError( + message=f"Invalid password for user {username}", + code=ErrorCode.INVALID_LOGIN_CREDENTIALS, + ), + ], + ) + return user diff --git a/datajunction-server/datajunction_server/internal/access/authentication/github.py b/datajunction-server/datajunction_server/internal/access/authentication/github.py new file mode 100644 index 000000000..df764e986 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authentication/github.py @@ -0,0 +1,72 @@ +""" +GitHub OAuth helper functions +""" + +import logging +import secrets +from urllib.parse import urljoin + +import requests +from sqlalchemy import select +from sqlalchemy.exc import NoResultFound + +from datajunction_server.database.user import User +from datajunction_server.errors import DJAuthenticationException +from datajunction_server.internal.access.authentication.basic import get_password_hash +from datajunction_server.models.user import OAuthProvider +from datajunction_server.utils import get_session, get_settings + +_logger = logging.getLogger(__name__) + + +def get_authorize_url(oauth_client_id: str) -> str: + """ + Get the authorize url for a GitHub OAuth app + """ + settings = get_settings() + redirect_uri = urljoin(settings.url, "/github/token/") + return ( + f"https://github.com/login/oauth/authorize?client_id={oauth_client_id}" + f"&scope=read:user&redirect_uri={redirect_uri}" + ) + + +def get_github_user(access_token: str) -> User: # pragma: no cover + """ + Get the user for a request + """ + headers = {"Accept": "application/json", "Authorization": f"Bearer {access_token}"} + user_data = requests.get( + "https://api.github.com/user", + headers=headers, + timeout=10, + ).json() + if "message" in user_data and user_data["message"] == "Bad credentials": + raise DJAuthenticationException( + "Cannot authorize user via GitHub, bad credentials", + ) + session = next(get_session()) # type: ignore + existing_user = None + try: + existing_user = session.execute( + select(User).where(User.username == user_data["login"]), + ).scalar() + except NoResultFound: + pass + if existing_user: + _logger.info("OAuth user found") + user = existing_user + else: + _logger.info("OAuth user does not exist, creating a new user") + new_user = User( + username=user_data["login"], + password=get_password_hash(secrets.token_urlsafe(13)), + email=user_data["email"], + name=user_data["name"], + oauth_provider=OAuthProvider.GITHUB, + ) + session.add(new_user) + session.commit() + session.refresh(new_user) + user = new_user + return user diff --git a/datajunction-server/datajunction_server/internal/access/authentication/google.py b/datajunction-server/datajunction_server/internal/access/authentication/google.py new file mode 100644 index 000000000..659007f58 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authentication/google.py @@ -0,0 +1,106 @@ +""" +Google OAuth helper functions +""" + +import logging +import secrets +from http import HTTPStatus +from typing import Optional +from urllib.parse import urljoin + +import google_auth_oauthlib.flow +import requests +from google.auth.external_account_authorized_user import Credentials +from sqlalchemy import select + +from datajunction_server.database.user import User +from datajunction_server.errors import DJAuthenticationException +from datajunction_server.internal.access.authentication.basic import get_password_hash +from datajunction_server.models.user import OAuthProvider +from datajunction_server.utils import get_session, get_settings + +_logger = logging.getLogger(__name__) + +settings = get_settings() +flow = ( + google_auth_oauthlib.flow.Flow.from_client_secrets_file( + settings.google_oauth_client_secret_file, + scopes=[ + "https://www.googleapis.com/auth/userinfo.profile", + "https://www.googleapis.com/auth/userinfo.email", + "openid", + ], + redirect_uri=urljoin(settings.url, "/google/token/"), + ) + if settings.google_oauth_client_secret_file + else None +) + + +def get_authorize_url( + state: Optional[str] = None, +) -> google_auth_oauthlib.flow.Flow: + """ + Get the authorize url for a Google OAuth app + """ + authorization_url, _ = flow.authorization_url( + access_type="offline", + include_granted_scopes="true", + prompt="consent", + state=state, + ) + return authorization_url + + +def get_google_access_token( + authorization_response_url: str, +) -> Credentials: + """ + Exchange an authorization token for an access token + """ + flow.fetch_token(authorization_response=authorization_response_url) + return flow.credentials + + +def get_google_user(token: str) -> User: + """ + Get the google user using an access token + """ + headers = {"Accept": "application/json", "Authorization": f"Bearer {token}"} + response = requests.get( + "https://www.googleapis.com/oauth2/v2/userinfo?alt=json", + headers=headers, + timeout=10, + ) + if response.status_code in (200, 201): + raise DJAuthenticationException( + http_status_code=HTTPStatus.FORBIDDEN, + message=f"Error retrieving Google user: {response.text}", + ) + user_data = response.json() + if "message" in user_data and user_data["message"] == "Bad credentials": + raise DJAuthenticationException( + http_status_code=HTTPStatus.FORBIDDEN, + message=f"Error retrieving Google user: {response.text}", + ) + session = next(get_session()) # type: ignore + existing_user = session.execute( + select(User).where(User.email == user_data["login"]), + ).scalar() + if existing_user: + _logger.info("OAuth user found") + user = existing_user + else: + _logger.info("OAuth user does not exist, creating a new user") + new_user = User( + username=user_data["email"], + email=user_data["email"], + password=get_password_hash(secrets.token_urlsafe(13)), + name=user_data["name"], + oauth_provider=OAuthProvider.GOOGLE, + ) + session.add(new_user) + session.commit() + session.refresh(new_user) + user = new_user + return user diff --git a/datajunction-server/datajunction_server/internal/access/authentication/http.py b/datajunction-server/datajunction_server/internal/access/authentication/http.py new file mode 100644 index 000000000..b065cac5d --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authentication/http.py @@ -0,0 +1,139 @@ +""" +A secure API router for routes that require authentication +""" + +from http import HTTPStatus +from typing import Any, Callable + +from fastapi import APIRouter, Depends +from fastapi.security import HTTPBearer +from fastapi.security.utils import get_authorization_scheme_param +from fastapi.types import DecoratedCallable +from jose.exceptions import JWEError, JWTError +from sqlalchemy.ext.asyncio import AsyncSession +from starlette.requests import Request + +from datajunction_server.constants import AUTH_COOKIE +from datajunction_server.errors import DJAuthenticationException, DJError, ErrorCode +from datajunction_server.internal.access.authentication.basic import get_user +from datajunction_server.internal.access.authentication.tokens import decode_token +from datajunction_server.utils import get_session, get_settings + + +class DJHTTPBearer(HTTPBearer): + """ + A custom HTTPBearer that accepts a cookie or bearer token + """ + + async def __call__( + self, + request: Request, + session: AsyncSession = Depends(get_session), + ) -> None: + # First check for a JWT sent in a cookie + jwt = request.cookies.get(AUTH_COOKIE) + if jwt: + try: + jwt_data = decode_token(jwt) + except (JWEError, JWTError) as exc: + raise DJAuthenticationException( + http_status_code=HTTPStatus.UNAUTHORIZED, + errors=[ + DJError( + message="Cannot decode authorization token", + code=ErrorCode.AUTHENTICATION_ERROR, + ), + ], + ) from exc + request.state.user = await get_user( + username=jwt_data["username"], + session=session, + ) + return + + authorization: str = request.headers.get("Authorization") + scheme, credentials = get_authorization_scheme_param(authorization) + if not (authorization and scheme and credentials): + if self.auto_error: + raise DJAuthenticationException( + http_status_code=HTTPStatus.FORBIDDEN, + errors=[ + DJError( + message="Not authenticated", + code=ErrorCode.AUTHENTICATION_ERROR, + ), + ], + ) + return # pragma: no cover + if scheme.lower() != "bearer": + if self.auto_error: + raise DJAuthenticationException( + http_status_code=HTTPStatus.FORBIDDEN, + errors=[ + DJError( + message="Invalid authentication credentials", + code=ErrorCode.AUTHENTICATION_ERROR, + ), + ], + ) + return # pragma: no cover + jwt_data = decode_token(credentials) + request.state.user = await get_user( + username=jwt_data["username"], + session=session, + ) + return + + +class TrailingSlashAPIRouter(APIRouter): + """ + A base APIRouter that handles trailing slashes + """ + + def api_route( + self, + path: str, + *, + include_in_schema: bool = True, + **kwargs: Any, + ) -> Callable[[DecoratedCallable], DecoratedCallable]: + """ + For any given API route path, we always add both the path without the trailing slash + and the path with the trailing slash, ensuring that we can serve both types of calls. + This solution is pulled from https://github.com/tiangolo/fastapi/discussions/7298 + """ + if path.endswith("/"): + path = path[:-1] + + add_path = super().api_route( + path, + include_in_schema=include_in_schema, + **kwargs, + ) + + path_with_trailing_slash = path + "/" + add_trailing_slash_path = super().api_route( + path_with_trailing_slash, + include_in_schema=False, + **kwargs, + ) + + def decorator(func: DecoratedCallable) -> DecoratedCallable: + add_trailing_slash_path(func) + return add_path(func) + + return decorator + + +class SecureAPIRouter(TrailingSlashAPIRouter): + """ + A fastapi APIRouter with a DJHTTPBearer dependency + """ + + def __init__(self, *args: Any, **kwargs: Any): + settings = get_settings() + super().__init__( + *args, + dependencies=[Depends(DJHTTPBearer())] if settings.secret else [], + **kwargs, + ) diff --git a/datajunction-server/datajunction_server/internal/access/authentication/tokens.py b/datajunction-server/datajunction_server/internal/access/authentication/tokens.py new file mode 100644 index 000000000..79b7bff0a --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authentication/tokens.py @@ -0,0 +1,81 @@ +""" +Helper functions for authentication tokens +""" + +import logging +from datetime import datetime, timedelta, timezone +from typing import Optional + +from jose import jwe, jwt +from passlib.context import CryptContext + +from datajunction_server.utils import get_settings + +_logger = logging.getLogger(__name__) +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + + +def encrypt(value: str) -> str: + """ + Encrypt a string value using the configured SECRET + """ + settings = get_settings() + return jwe.encrypt( + value, + settings.secret, + algorithm="dir", + encryption="A128GCM", + ).decode("utf-8") + + +def decrypt(value: str) -> str: + """ + Decrypt a string value using the configured SECRET + """ + settings = get_settings() + return jwe.decrypt(value, settings.secret).decode("utf-8") + + +def create_token( + data: dict, + secret: str, + iss: str, + expires_delta: Optional[timedelta] = None, +) -> str: + """ + Encode data into a signed JWT that's then encrypted using JWE. + + Tokens are created by encoding data (typically a user's information) into + a signed JWT that's then encrypted using JWE. The resulting string can + then be stored in a cookie or authorization headers. When returning a token + in any form other than an HTTP-only cookie, it's important that a reasonably + small expires_delta is provided, such as 24 hours. + """ + to_encode = data.copy() + if expires_delta: + expire = datetime.now(timezone.utc) + expires_delta + else: # pragma: no cover + expire = datetime.now(timezone.utc) + timedelta(minutes=15) + to_encode.update({"exp": expire}) + to_encode.update({"iss": iss}) + encoded_jwt = jwt.encode( + to_encode, + secret, + algorithm="HS256", + ) + return encrypt(encoded_jwt) + + +def decode_token(token: str) -> dict: + """ + Decodes a token by first decrypting the JWE and then decoding the signed JWT. + """ + settings = get_settings() + decrypted_token = decrypt(token) + decoded_jwt = jwt.decode( + decrypted_token, + settings.secret, + algorithms=["HS256"], + issuer=settings.url, + ) + return decoded_jwt diff --git a/datajunction-server/datajunction_server/internal/access/authorization/__init__.py b/datajunction-server/datajunction_server/internal/access/authorization/__init__.py new file mode 100644 index 000000000..7daa449cb --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authorization/__init__.py @@ -0,0 +1,31 @@ +"""All authorization functions.""" + +__all__ = [ + "AuthContext", + "get_auth_context", + "AccessChecker", + "get_access_checker", + "AccessDenialMode", + "AuthorizationService", + "RBACAuthorizationService", + "PassthroughAuthorizationService", + "get_authorization_service", +] + +from datajunction_server.internal.access.authorization.context import ( + AuthContext, + get_auth_context, +) + +from datajunction_server.internal.access.authorization.validator import ( + AccessChecker, + get_access_checker, + AccessDenialMode, +) + +from datajunction_server.internal.access.authorization.service import ( + AuthorizationService, + RBACAuthorizationService, + PassthroughAuthorizationService, + get_authorization_service, +) diff --git a/datajunction-server/datajunction_server/internal/access/authorization/context.py b/datajunction-server/datajunction_server/internal/access/authorization/context.py new file mode 100644 index 000000000..7eec35b43 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authorization/context.py @@ -0,0 +1,130 @@ +""" +Authorization context for a user, pre-loaded with all roles. +""" + +from fastapi import Depends +from dataclasses import dataclass +from typing import List, Optional + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload + + +from datajunction_server.internal.access.group_membership import ( + get_group_membership_service, +) +from datajunction_server.database.rbac import RoleAssignment, Role +from datajunction_server.database.user import User +from datajunction_server.utils import ( + get_current_user, + get_session, + get_settings, +) + +settings = get_settings() + + +@dataclass(frozen=True) +class AuthContext: + """ + Authorization context for a user. + + Contains all data needed to make authorization decisions, + pre-loaded and ready for fast in-memory checks. + + This separates authorization data from the full User model, + allowing for clean caching, testing, and type safety. + """ + + user_id: int + username: str + oauth_provider: Optional[str] + role_assignments: List[RoleAssignment] # Direct + groups, flattened + + @classmethod + async def from_user( + cls, + session: AsyncSession, + user: User, + ) -> "AuthContext": + """ + Build authorization context from a User object. + + This loads all effective role assignments (direct + group-based) + for the user using the configured GroupMembershipService. + + Args: + session: db session + user: user to build context for + + Returns: + AuthContext ready for authorization checks + """ + assignments = await cls.get_effective_assignments( + session=session, + user=user, + ) + + return cls( + user_id=user.id, + username=user.username, + oauth_provider=user.oauth_provider, + role_assignments=assignments, + ) + + @classmethod + async def get_effective_assignments( + cls, + session: AsyncSession, + user: User, + ) -> List[RoleAssignment]: + """ + Get all effective role assignments for a user (direct + group-based). + + Args: + session: db session + user: user to get assignments for + Returns: + list of all role assignments that apply to this user + """ + group_membership_service = get_group_membership_service() + + # Start with user's direct assignments + assignments = list(user.role_assignments) + + # Get groups from service (could be LDAP, local DB, etc.) + group_usernames = await group_membership_service.get_user_groups( + session, + user.username, + ) + + if not group_usernames: + return assignments # No groups + + # Load groups from DJ database with their role_assignments + stmt = ( + select(User) + .where(User.username.in_(group_usernames)) + .options( + selectinload(User.role_assignments) + .selectinload(RoleAssignment.role) + .selectinload(Role.scopes), + ) + ) + result = await session.execute(stmt) + groups = result.scalars().all() + + # Flatten group assignments into the list + for group in groups: + assignments.extend(group.role_assignments) + + return assignments + + +async def get_auth_context( + session: AsyncSession = Depends(get_session), + current_user: User = Depends(get_current_user), +) -> AuthContext: + """Build authorization context with user + group assignments.""" + return await AuthContext.from_user(session, current_user) diff --git a/datajunction-server/datajunction_server/internal/access/authorization/service.py b/datajunction-server/datajunction_server/internal/access/authorization/service.py new file mode 100644 index 000000000..6abd28f12 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authorization/service.py @@ -0,0 +1,329 @@ +""" +Authorization service implementations for access control. +""" + +from abc import ABC, abstractmethod +from datetime import datetime, timezone +from functools import lru_cache +from typing import List + + +from datajunction_server.models.access import ( + AccessDecision, + ResourceAction, + ResourceRequest, + ResourceType, +) +from datajunction_server.internal.access.authorization.context import ( + AuthContext, +) +from datajunction_server.utils import ( + SEPARATOR, + get_settings, +) + +settings = get_settings() + + +class AuthorizationService(ABC): + """ + Abstract base class for authorization strategies. + + Authorization is performed on a pre-loaded authorization context. + + Implementations of this base class decide exactly how to authorize requests: + - RBACAuthorizationService: Uses pre-loaded roles/scopes (default) + - PassthroughAuthorizationService: Always approve (testing/permissive) + - Custom: Your own authorization logic + + Each implementation should define a `name` class attribute to register itself. + """ + + name: str # Subclasses must define this + + @abstractmethod + def authorize( + self, + auth_context: AuthContext, + requests: list[ResourceRequest], + ) -> list[AccessDecision]: + """ + Authorize resource requests for a user. + + This method should mutate the `approved` field on each request + to indicate whether access is granted. + + Args: + auth_context: Pre-loaded authorization context with all needed data + requests: List of resource requests to authorize + + Returns: + The same list of requests with approved=True/False set on each + """ + + +class RBACAuthorizationService(AuthorizationService): + """ + Default RBAC implementation using pre-loaded roles and scopes. + + This implementation: + 1. Works on AuthContext with pre-loaded role_assignments (direct + groups) + 2. Falls back to default_access_policy if no explicit rule exists + 3. Respects role expiration + 4. Synchronous - works on eagerly loaded data + + Group Membership Integration: + - Supports pluggable GroupMembershipService (LDAP, local DB, etc.) + - Groups are loaded when building AuthContext via from_user() + - No DB queries during authorization - all data pre-loaded + """ + + name = "rbac" + + PERMISSION_HIERARCHY = { + ResourceAction.MANAGE: { + ResourceAction.MANAGE, + ResourceAction.DELETE, + ResourceAction.WRITE, + ResourceAction.EXECUTE, + ResourceAction.READ, + }, + ResourceAction.DELETE: { + ResourceAction.DELETE, + ResourceAction.WRITE, + ResourceAction.READ, + }, + ResourceAction.WRITE: { + ResourceAction.WRITE, + ResourceAction.READ, + }, + ResourceAction.EXECUTE: { + ResourceAction.EXECUTE, + ResourceAction.READ, + }, + ResourceAction.READ: { + ResourceAction.READ, + }, + } + + def authorize( + self, + auth_context: AuthContext, + requests: list[ResourceRequest], + ) -> list[AccessDecision]: + """ + Authorize using pre-loaded RBAC roles and scopes (sync). + + Args: + auth_context: Pre-loaded authorization context with role assignments + requests: Resource requests to authorize + + Returns: + Same list of requests with approved=True/False set + """ + return [self._make_decision(auth_context, request) for request in requests] + + def _make_decision( + self, + auth_context: AuthContext, + request: ResourceRequest, + ) -> AccessDecision: + """ + Convert ResourceRequest to AccessDecision. + """ + has_grant = self.has_permission( + assignments=auth_context.role_assignments, + action=request.verb, + resource_type=request.access_object.resource_type, + resource_name=request.access_object.name, + ) + return AccessDecision( + request=request, + approved=(has_grant or settings.default_access_policy == "permissive"), + ) + + @classmethod + def resource_matches_pattern(cls, resource_name: str, pattern: str) -> bool: + """ + Check if resource name matches a pattern with wildcard support. + + resource_matches_pattern("finance.revenue", "finance.*") --> True + resource_matches_pattern("finance.quarterly.revenue", "finance.*") --> True + resource_matches_pattern("users.alice.dashboard", "users.alice.*") --> True + resource_matches_pattern("marketing.revenue", "finance.*") --> False + resource_matches_pattern("anything", "*") --> True + resource_matches_pattern("finance", "finance.*") --> False + """ + if pattern == "*": + return True # Match everything + + if "*" not in pattern: + return resource_name == pattern # Exact match + + # Wildcard pattern: finance.* matches finance.revenue and finance.quarterly.revenue + # But NOT just "finance" (must have something after the dot) + pattern_prefix = pattern.rstrip("*").rstrip(SEPARATOR) + + if not pattern_prefix: + return True # Pattern was just "*" + + # Resource must start with pattern_prefix followed by a dot + # (not an exact match to pattern_prefix, that would be handled by exact pattern) + return resource_name.startswith(pattern_prefix + SEPARATOR) + + @classmethod + def has_permission( + cls, + assignments: List, + action: ResourceAction, + resource_type: ResourceType, + resource_name: str, + ) -> bool: + """ + Determine if a list of role assignments grants the requested permission. + + This method iterates through all provided role assignments, checking if any + grant the specified action on the given resource. Expired assignments are + automatically skipped. Returns True if at least one valid assignment grants + access, False otherwise. + + Args: + assignments: List of role assignments to check + action: The action being requested (READ, WRITE, etc.) + resource_type: Type of resource (NODE, NAMESPACE, etc.) + resource_name: Full name/identifier of the resource + + Returns: + True if permission is granted, False otherwise + """ + for assignment in assignments: + # Skip expired assignments + if assignment.expires_at and assignment.expires_at < datetime.now( + timezone.utc, + ): + continue + + # Check each scope in the role + for scope in assignment.role.scopes: + # Check if scope grants permission for this resource + if cls._scope_grants_permission( + scope, + action, + resource_type, + resource_name, + ): + return True + + return False + + @classmethod + def _scope_grants_permission( + cls, + scope, + action: ResourceAction, + resource_type: ResourceType, + resource_name: str, + ) -> bool: + """ + Check if a scope grants permission for a resource. + + Handles: + 1. Permission hierarchy (MANAGE > DELETE > WRITE > READ, EXECUTE > READ) + 2. Empty/None scope_value or "*" = global access + 3. Wildcard pattern matching (finance.*) + 4. Cross-resource-type: namespace scope covers nodes in that namespace + """ + # Check permission hierarchy: does scope.action grant the requested action? + granted_actions = cls.PERMISSION_HIERARCHY.get(scope.action, {scope.action}) + if action not in granted_actions: + return False + + # Handle global access (empty string, None, or "*" scope_value) + if not scope.scope_value or scope.scope_value == "" or scope.scope_value == "*": + # Global scope matches any resource of the same type + return scope.scope_type == resource_type + + # Same resource type - use pattern matching + if scope.scope_type == resource_type: + return cls.resource_matches_pattern(resource_name, scope.scope_value) + + # Cross-resource-type: namespace scope can cover nodes + if ( + scope.scope_type == ResourceType.NAMESPACE + and resource_type == ResourceType.NODE + ): + # Check if node name matches the namespace pattern + return cls.resource_matches_pattern(resource_name, scope.scope_value) + + # No match + return False + + +class PassthroughAuthorizationService(AuthorizationService): + """ + Always approves all requests (for testing or permissive environments). + """ + + name = "passthrough" + + def authorize( + self, + auth_context: AuthContext, + requests: list[ResourceRequest], + ) -> list[AccessDecision]: + """Approve all requests without checks (sync).""" + return [AccessDecision(request=request, approved=True) for request in requests] + + +@lru_cache(maxsize=None) +def get_authorization_service() -> AuthorizationService: + """ + Factory function to get the configured authorization service. + + This is used as a FastAPI dependency. The service can be overridden + via app.dependency_overrides for testing or custom deployments. + + Built-in providers: + - "rbac": Role-based access control using roles/scopes tables (default) + - "passthrough": Always approve all requests + + Configure via environment variable: + ```bash + AUTHORIZATION_PROVIDER=rbac # or passthrough + ``` + + Custom providers can be added by: + 1. Subclassing AuthorizationService + 2. Defining a `name` class attribute + 3. Importing the class before app starts + + Example: + ```python + class ExampleAuthService(AuthorizationService): + name = "example" + + def authorize(self, user, requests): + # Your sync authorization logic + return requests + ``` + + Returns: + AuthorizationService implementation + + Raises: + ValueError: If the configured provider is unknown + """ + provider = getattr(settings, "authorization_provider", "rbac") + + # Discover all subclasses + providers = {} + for subclass in AuthorizationService.__subclasses__(): + providers[subclass.name] = subclass + if subclass.name == provider: + return subclass() # type: ignore[abstract] + + available = ", ".join(sorted(providers.keys())) + raise ValueError( + f"Unknown authorization_provider: '{provider}'. " + f"Available providers: {available}", + ) diff --git a/datajunction-server/datajunction_server/internal/access/authorization/validator.py b/datajunction-server/datajunction_server/internal/access/authorization/validator.py new file mode 100644 index 000000000..4ffab7dd0 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/authorization/validator.py @@ -0,0 +1,164 @@ +""" +Access validation collection and helper functions. +""" + +from fastapi import Depends +from enum import Enum + + +from datajunction_server.internal.access.authorization.service import ( + get_authorization_service, +) +from datajunction_server.database.node import Node +from datajunction_server.models.access import ( + AccessDecision, + Resource, + ResourceAction, + ResourceRequest, + ResourceType, +) +from datajunction_server.internal.access.authorization.context import ( + AuthContext, + get_auth_context, +) +from datajunction_server.utils import ( + get_settings, +) + +settings = get_settings() + + +class AccessDenialMode(Enum): + """ + How to handle denied access requests. + """ + + FILTER = "filter" # Return only approved requests + RAISE = "raise" # Raise exception if any denied + RETURN = "return" # Return all requests with approved field set + + +class AccessChecker: + """Collects authorization requests and validates them.""" + + def __init__(self, auth_context: AuthContext): + self.auth_context = auth_context + self.requests: list[ResourceRequest] = [] + + def add_request(self, request: ResourceRequest): + """Add a request to check.""" + self.requests.append(request) + + def add_requests(self, requests: list[ResourceRequest]): + """Add requests to check.""" + self.requests.extend(requests) + + @classmethod + def resource_request_from_node( + cls, + node: Node, + action: ResourceAction, + ) -> ResourceRequest: + """Create ResourceRequest from a Node.""" + return ResourceRequest( + verb=action, + access_object=Resource.from_node(node), + ) + + def add_request_by_node_name(self, node_name: str, action: ResourceAction): + """Add request by node name.""" + self.requests.append( + ResourceRequest( + verb=action, + access_object=Resource(name=node_name, resource_type=ResourceType.NODE), + ), + ) + + def add_node(self, node: Node, action: ResourceAction): + """Add request for a node.""" + node_request = self.resource_request_from_node(node, action) + self.add_request(node_request) + + def add_nodes(self, nodes: list[Node], action: ResourceAction): + """Add requests for multiple nodes.""" + self.requests.extend( + self.resource_request_from_node(node, action) for node in nodes + ) + + @classmethod + def resource_request_from_namespace( + cls, + namespace: str, + action: ResourceAction, + ) -> ResourceRequest: + """Create ResourceRequest from a namespace.""" + return ResourceRequest( + verb=action, + access_object=Resource.from_namespace(namespace), + ) + + def add_namespace(self, namespace: str, action: ResourceAction): + """Add request for a namespace.""" + namespace_request = self.resource_request_from_namespace(namespace, action) + self.add_request(namespace_request) + + def add_namespaces(self, namespaces: list[str], action: ResourceAction): + """Add requests for multiple namespaces.""" + self.requests.extend( + self.resource_request_from_namespace(namespace, action) + for namespace in namespaces + ) + + async def check( + self, + on_denied: AccessDenialMode = AccessDenialMode.FILTER, + ) -> list[AccessDecision]: + """ + Validate all requests using AuthorizationService. + + Args: + on_denied: How to handle denied requests + - FILTER: Return only approved (default) + - RAISE: Raise exception if any denied + - RETURN_ALL: Return all with approved field set + """ + auth_service = get_authorization_service() + access_decisions = auth_service.authorize(self.auth_context, self.requests) + + if on_denied == AccessDenialMode.RETURN: + return access_decisions + elif on_denied == AccessDenialMode.RAISE: + denied: list[AccessDecision] = [ + decision for decision in access_decisions if not decision.approved + ] + if denied: + from datajunction_server.errors import DJAuthorizationException + + # Show first 5 denied resources + denied_names = [d.request.access_object.name for d in denied[:5]] + more_count = max(0, len(denied) - 5) + + raise DJAuthorizationException( + message=( + f"Access denied to {len(denied)} resource(s): " + f"{', '.join(denied_names)}" + + (f" and {more_count} more" if more_count else "") + ), + ) + return access_decisions + # Default: FILTER + return [decision for decision in access_decisions if decision.approved] + + async def approved_resource_names(self) -> list[str]: + """Get approved resource names.""" + return [ + decision.request.access_object.name + for decision in await self.check(on_denied=AccessDenialMode.FILTER) + ] + + +def get_access_checker( + auth_context: AuthContext = Depends(get_auth_context), +) -> AccessChecker: + """Provide AccessChecker with pre-loaded context.""" + return AccessChecker(auth_context) diff --git a/datajunction-server/datajunction_server/internal/access/group_membership.py b/datajunction-server/datajunction_server/internal/access/group_membership.py new file mode 100644 index 000000000..fe03577ed --- /dev/null +++ b/datajunction-server/datajunction_server/internal/access/group_membership.py @@ -0,0 +1,235 @@ +""" +Group membership resolution. + +This module provides pluggable group membership resolution to support +different deployment scenarios: + +- **Postgres (Default)**: Uses group_members table for self-contained deployments +- **Static**: No-op implementation (groups exist but have no members) +- **External**: Custom implementations can query LDAP, SAML etc. + +Example custom implementation: + +```python +class LDAPGroupMembershipService(GroupMembershipService): + name = "ldap" # Register with this name + + async def is_user_in_group(self, session, username, group_name): + # Query LDAP server + return ldap_client.check_membership(username, group_name) +``` + +Configure via: +```bash +GROUP_MEMBERSHIP_PROVIDER=ldap +``` + +The factory will automatically discover all subclasses of GroupMembershipService. +""" + +import logging +from abc import ABC, abstractmethod + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import aliased + +from datajunction_server.database.group_member import GroupMember +from datajunction_server.database.user import PrincipalKind, User + +logger = logging.getLogger(__name__) + + +class GroupMembershipService(ABC): + """ + Abstract base class for group membership resolution. + + Implementations decide WHERE to look for membership data: + - PostgresGroupMembershipService: Queries group_members table + - StaticGroupMembershipService: Returns empty (no membership) + - Custom implementations: LDAP, SAML etc. + + Each implementation should define a `name` class attribute to register itself. + """ + + name: str # Subclasses must define this + + @abstractmethod + async def is_user_in_group( + self, + session: AsyncSession, + username: str, + group_name: str, + ) -> bool: + """ + Check if a user is a member of a group. + + Args: + session: Database session (may not be used by external providers) + username: User's username (unique identifier) + group_name: Group's username (unique identifier) + + Returns: + True if user is in the group, False otherwise + """ + + @abstractmethod + async def get_user_groups( + self, + session: AsyncSession, + username: str, + ) -> list[str]: + """ + Get all groups a user belongs to. + + Args: + session: Database session + username: User's username (unique identifier) + + Returns: + List of group usernames the user is a member of + """ + + +class PostgresGroupMembershipService(GroupMembershipService): + """ + Default implementation using group_members table. + + Used by OSS deployments without external identity systems. + Membership is stored directly in the DJ database. + """ + + name = "postgres" + + async def is_user_in_group( + self, + session: AsyncSession, + username: str, + group_name: str, + ) -> bool: + """Check membership via group_members table.""" + # Create aliases to distinguish between member and group users + member_user = aliased(User) + group_user = aliased(User) + + # Query: Check if there's a group_members entry linking them + statement = ( + select(GroupMember.group_id) + .join(member_user, GroupMember.member_id == member_user.id) + .join(group_user, GroupMember.group_id == group_user.id) + .where( + member_user.username == username, + group_user.username == group_name, + group_user.kind == PrincipalKind.GROUP, + ) + .limit(1) + ) + + result = await session.execute(statement) + return result.scalar_one_or_none() is not None + + async def get_user_groups( + self, + session: AsyncSession, + username: str, + ) -> list[str]: + """Get user's groups from group_members table.""" + member_user = aliased(User) + group_user = aliased(User) + + # Query: Get all groups where user is a member + statement = ( + select(group_user.username) + .join(GroupMember, GroupMember.group_id == group_user.id) + .join(member_user, GroupMember.member_id == member_user.id) + .where( + member_user.username == username, + group_user.kind == PrincipalKind.GROUP, + ) + ) + + result = await session.execute(statement) + return list(result.scalars().all()) + + +class StaticGroupMembershipService(GroupMembershipService): + """ + No-op implementation that returns empty results. + + Useful for: + - Testing without setting up membership + - Deployments where groups exist but membership isn't tracked + - Gradual rollout (groups registered, membership added later) + """ + + name = "static" + + async def is_user_in_group( + self, + session: AsyncSession, + username: str, + group_name: str, + ) -> bool: + """Always returns False - no membership tracked.""" + return False + + async def get_user_groups( + self, + session: AsyncSession, + username: str, + ) -> list[str]: + """Always returns empty list - no membership tracked.""" + return [] + + +def get_group_membership_service() -> GroupMembershipService: + """ + Factory to get the configured membership service. + + Automatically discovers all GroupMembershipService subclasses + and returns the one matching GROUP_MEMBERSHIP_PROVIDER setting. + + Built-in providers: + - "postgres": Uses group_members table + - "static": No membership tracking + + Custom providers can be added by: + 1. Subclassing GroupMembershipService + 2. Defining a `name` class attribute + 3. Importing the class before calling this function + + Example: + ```python + class LDAPGroupMembershipService(GroupMembershipService): + name = "ldap" + async def is_user_in_group(...): ... + ``` + + Returns: + GroupMembershipService implementation + + Raises: + ValueError: If provider is unknown + """ + from datajunction_server.utils import get_settings + + settings = get_settings() + provider = settings.group_membership_provider + + logger.debug(f"Loading group membership provider: {provider}") + + # Discover all subclasses + providers = {} + for subclass in GroupMembershipService.__subclasses__(): + if hasattr(subclass, "name"): # pragma: no cover + providers[subclass.name] = subclass + logger.debug(f"Discovered provider: {subclass.name}") + if subclass.name == provider: + logger.info(f"Using group membership provider: {provider}") + return subclass() # type: ignore[abstract] + + available = ", ".join(sorted(providers.keys())) + raise ValueError( + f"Unknown group_membership_provider: '{provider}'. " + f"Available providers: {available}", + ) diff --git a/datajunction-server/datajunction_server/internal/caching/cache_manager.py b/datajunction-server/datajunction_server/internal/caching/cache_manager.py new file mode 100644 index 000000000..130e8fa94 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/caching/cache_manager.py @@ -0,0 +1,135 @@ +from abc import ABC, abstractmethod +import hashlib +import json +import logging +from typing import Generic, Protocol, TypeVar +from fastapi import BackgroundTasks, Request + +from datajunction_server.internal.caching.interface import Cache + + +class DataClassLike(Protocol): + __dataclass_fields__: dict + + +ResultType = TypeVar("ResultType") +ParamsType = TypeVar("ParamsType", dict, DataClassLike) + + +class CacheManager(ABC, Generic[ParamsType, ResultType]): + """ + A generic manager for handling caching operations. + """ + + _cache_key_prefix: str | None = None + default_timeout: int = 3600 # Default cache timeout in seconds + + def __init__(self, cache: Cache): + self.cache = cache + self.logger = logging.getLogger(self.__class__.__name__) + + @property + def cache_key_prefix(self): + return self._cache_key_prefix or self.__class__.__name__.lower() + + @abstractmethod + async def fallback(self, request: Request, params: ParamsType) -> ResultType: + """ + The fallback function to call if the cache is not hit. This should be overridden + in subclasses. + """ + + async def build_cache_key(self, request: Request, params: ParamsType) -> str: + """ + Generic cache key function which sorts and hashes the context keys. + """ + if hasattr(params, "__dataclass_fields__"): + data = params.__dict__ # pragma: no cover + elif isinstance(params, dict): + data = params + else: + raise TypeError(f"Unsupported params type: {type(params)}") + canonical = json.dumps(data, sort_keys=True) + digest = hashlib.sha256(canonical.encode("utf-8")).hexdigest() + return f"{self.cache_key_prefix}:{digest}" + + @abstractmethod + async def get_or_load( + self, + background_tasks: BackgroundTasks, + request: Request, + params: ParamsType, + ) -> ResultType: + """ + Load value from cache if possible, otherwise compute via fallback. The behavior + of this method may vary depending on caching strategy. It should always respect + the Cache-Control headers in the request. + """ + + +class RefreshAheadCacheManager(CacheManager): + """ + Cache manager implementing refresh-ahead caching. + + This strategy always serves the currently cached value immediately, regardless of whether + it's stale, and then triggers a background refresh to update the cache with the latest data. + """ + + async def get_or_load( + self, + background_tasks: BackgroundTasks, + request: Request, + params: ParamsType, + ) -> ResultType: + """ + Load value from cache if possible, otherwise compute via fallback. + Respects Cache-Control headers: + - no-cache: does not use cache when present, always computes fresh value + - no-store: skips storing fresh values into the cache + """ + cache_control = request.headers.get("Cache-Control", "").lower() + no_store = "no-store" in cache_control + no_cache = "no-cache" in cache_control + + key: str = await self.build_cache_key(request, params) + if not no_cache: + if cached := self.cache.get(key): + if not no_store: + background_tasks.add_task(self._refresh_cache, key, request, params) + return cached + self.logger.info( + "Cache miss (key=%s) for request with parameters=%s, computing fresh value.", + key, + params, + ) + else: + self.logger.info( + "no-cache header present for request with parameters=%s, computing fresh value.", + params, + ) + + result = await self.fallback(request, params) + + if not no_store: + background_tasks.add_task( + self.cache.set, + key, + result, + timeout=self.default_timeout, + ) + + return result + + async def _refresh_cache( + self, + key: str, + request: Request, + params: ParamsType, + ) -> None: + """ + Async cache refresher that re-runs fallback and updates the cache. + """ + self.logger.info("Refreshing cache for key=%s", key) + result = await self.fallback(request, params) + self.cache.set(key, result, timeout=self.default_timeout) + self.logger.info("Successfully refreshed cache for key=%s", key) diff --git a/datajunction-server/datajunction_server/internal/caching/cachelib_cache.py b/datajunction-server/datajunction_server/internal/caching/cachelib_cache.py new file mode 100644 index 000000000..e7f37698a --- /dev/null +++ b/datajunction-server/datajunction_server/internal/caching/cachelib_cache.py @@ -0,0 +1,44 @@ +""" +Cachelib-based cache implementation +""" + +from typing import Any, Optional + +from cachelib import SimpleCache +from fastapi import Request + +from datajunction_server.internal.caching.interface import Cache, CacheInterface +from datajunction_server.internal.caching.noop_cache import noop_cache + + +class CachelibCache(Cache): + """A standard implementation of CacheInterface that uses cachelib""" + + def __init__(self): + super().__init__() + self.cache = SimpleCache() + + def get(self, key: str) -> Optional[Any]: + """Get a cached value from the simple cache""" + super().get(key) + return self.cache.get(key) + + def set(self, key: str, value: Any, timeout: int = 3600) -> None: + """Cache a value in the simple cache""" + super().set(key, value, timeout) + self.cache.set(key, value, timeout=timeout) + + def delete(self, key: str) -> None: + """Delete a key in the simple cache""" + super().delete(key) + self.cache.delete(key) + + +cachelib_cache = CachelibCache() + + +def get_cache(request: Request) -> Optional[CacheInterface]: + """Dependency for retrieving a cachelib-based cache implementation""" + cache_control = request.headers.get("Cache-Control", "") + skip_cache = "no-cache" in cache_control + return noop_cache if skip_cache else cachelib_cache diff --git a/datajunction-server/datajunction_server/internal/caching/interface.py b/datajunction-server/datajunction_server/internal/caching/interface.py new file mode 100644 index 000000000..9804a19af --- /dev/null +++ b/datajunction-server/datajunction_server/internal/caching/interface.py @@ -0,0 +1,51 @@ +""" +Caching interface and logging wrapper +""" + +import logging +from abc import ABC, abstractmethod +from typing import Any, Optional + + +class CacheInterface(ABC): + """Cache interface""" + + @abstractmethod + def get(self, key: str) -> Optional[Any]: + """Get a cached value""" + + @abstractmethod + def set(self, key: str, value: Any, timeout: int = 300) -> None: + """Cache a value""" + + @abstractmethod + def delete(self, key: str) -> None: + """Delete a cache key""" + + +class Cache(CacheInterface): + """A wrapper for the cache interface to ensure standardized logging""" + + def __init__(self): + self.logger = logging.getLogger(self.__class__.__name__) + + def get(self, key: str) -> Optional[Any]: # type: ignore + """Log the cache check and then use the implemented cache""" + self.logger.info( + "%s: Getting cached value for key %s", + self.__class__.__name__, + key, + ) + + def set(self, key: str, value: Any, timeout: int = 300) -> None: + """Log the cache attempt and then use the implemented cache""" + self.logger.info( + "%s: Setting value for key %s with timeout: %s", + self.__class__.__name__, + key, + timeout, + ) + + def delete(self, key: str) -> None: + """Log the cache deletion attempt and then use the implemented cache""" + self.logger.info("%s: Deleting key %s", self.__class__.__name__, key) diff --git a/datajunction-server/datajunction_server/internal/caching/noop_cache.py b/datajunction-server/datajunction_server/internal/caching/noop_cache.py new file mode 100644 index 000000000..025de9444 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/caching/noop_cache.py @@ -0,0 +1,12 @@ +""" +NoOp cache implementation +""" + +from datajunction_server.internal.caching.interface import Cache + + +class NoOpCache(Cache): + """A NoOp implementation of CacheInterface that returns None for get and set""" + + +noop_cache = NoOpCache() diff --git a/datajunction-server/datajunction_server/internal/caching/query_cache_manager.py b/datajunction-server/datajunction_server/internal/caching/query_cache_manager.py new file mode 100644 index 000000000..0dc70501f --- /dev/null +++ b/datajunction-server/datajunction_server/internal/caching/query_cache_manager.py @@ -0,0 +1,235 @@ +from copy import deepcopy +from dataclasses import asdict, dataclass +import json +import logging +from typing import Any, OrderedDict +from fastapi import Request +from datajunction_server.internal.caching.cache_manager import RefreshAheadCacheManager +from sqlalchemy.ext.asyncio import AsyncSession +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.database.queryrequest import ( + QueryRequestKey, + QueryBuildType, + VersionedQueryKey, +) +from datajunction_server.internal.access.authorization import ( + AccessChecker, + AuthContext, + get_access_checker, +) +from datajunction_server.internal.sql import build_sql_for_multiple_metrics +from datajunction_server.models.sql import GeneratedSQL +from datajunction_server.utils import get_current_user, session_context, get_settings +from datajunction_server.internal.sql import get_measures_query +from datajunction_server.internal.sql import build_node_sql +from datajunction_server.internal.engines import get_engine +from datajunction_server.models.metric import TranslatedSQL + +logger = logging.getLogger(__name__) +settings = get_settings() + + +@dataclass +class QueryRequestParams: + """ + Parameters for a query request. These are the inputs when requesting SQL building. + """ + + nodes: list[str] + dimensions: list[str] + filters: list[str] + engine_name: str | None = None + engine_version: str | None = None + limit: int | None = None + orderby: list[str] | None = None + other_args: dict[str, Any] | None = None + include_all_columns: bool = False + use_materialized: bool = False + preaggregate: bool = False + query_params: str | None = None + ignore_errors: bool = True + + def __repr__(self): + return ( + f"QueryRequestParams(nodes={self.nodes}, dimensions={self.dimensions}," + f" filters={self.filters}, engine_name={self.engine_name}, engine_version={self.engine_version}," + f" limit={self.limit}, orderby={self.orderby}, other_args={self.other_args}," + f" include_all_columns={self.include_all_columns}, use_materialized={self.use_materialized}," + f" preaggregate={self.preaggregate}, query_params={self.query_params})" + ) + + +async def build_access_checker_from_request( + request: Request, + session: AsyncSession, +) -> AccessChecker: + """Helper to build checker from request + session.""" + current_user = await get_current_user(request) + auth_context = await AuthContext.from_user(session, current_user) + return get_access_checker(auth_context) + + +class QueryCacheManager(RefreshAheadCacheManager): + """ + A generic manager for handling caching operations. + """ + + _cache_key_prefix = "sql" + default_timeout = settings.query_cache_timeout + + def __init__(self, cache: Cache, query_type: QueryBuildType): + super().__init__(cache) + self.query_type = query_type + + @property + def cache_key_prefix(self) -> str: + return f"{self._cache_key_prefix}:{self.query_type}" + + async def fallback( + self, + request: Request, + params: QueryRequestParams, + ) -> list[GeneratedSQL] | TranslatedSQL: + """ + The fallback function to call if the cache is not hit. This should be overridden + in subclasses. + """ + params = deepcopy(params) + async with session_context(request) as session: + access_checker = await build_access_checker_from_request(request, session) + params.nodes = list(OrderedDict.fromkeys(params.nodes)) + query_parameters = ( + json.loads(params.query_params) if params.query_params else {} + ) + match self.query_type: + case QueryBuildType.MEASURES: + return await self._build_measures_query( + session, + params, + query_parameters, + access_checker, + ) + case QueryBuildType.NODE: + return await self._build_node_query( + session, + params, + query_parameters, + access_checker, + ) + case QueryBuildType.METRICS: # pragma: no cover + return await self._build_metrics_query( + session, + params, + query_parameters, + access_checker, + ) + + async def build_cache_key( + self, + request: Request, + params: QueryRequestParams, + ) -> str: + """ + Returns a cache key for the query request. + """ + async with session_context(request) as session: + versioned_request = await VersionedQueryKey.version_query_request( + session=session, + nodes=sorted(params.nodes), + dimensions=sorted(params.dimensions), + filters=sorted(params.filters), + orderby=params.orderby or [], + ) + query_request = QueryRequestKey( + key=versioned_request, + query_type=self.query_type, + engine_name=params.engine_name or "", + engine_version=params.engine_version or "", + limit=params.limit or None, + include_all_columns=params.include_all_columns or False, + preaggregate=params.preaggregate or False, + use_materialized=params.use_materialized or False, + query_parameters=json.loads(params.query_params or "{}"), + other_args=params.other_args or {}, + ) + return await super().build_cache_key(request, asdict(query_request)) + + async def _build_measures_query( + self, + session: AsyncSession, + params: QueryRequestParams, + query_parameters: dict[str, Any], + access_checker: AccessChecker, + ) -> list[GeneratedSQL]: + return await get_measures_query( + session=session, + metrics=params.nodes, + dimensions=params.dimensions or [], + filters=params.filters or [], + orderby=params.orderby or [], + engine_name=params.engine_name, + engine_version=params.engine_version, + access_checker=access_checker, + include_all_columns=params.include_all_columns, + use_materialized=params.use_materialized, + preagg_requested=params.preaggregate, + query_parameters=query_parameters, + ) + + async def _build_node_query( + self, + session: AsyncSession, + params: QueryRequestParams, + query_parameters: dict[str, Any], + access_checker: AccessChecker, + ) -> TranslatedSQL: + engine = ( + await get_engine(session, params.engine_name, params.engine_version) # type: ignore + if params.engine_name + else None + ) + built_sql = await build_node_sql( + node_name=params.nodes[0], + dimensions=[dim for dim in (params.dimensions or []) if dim and dim != ""], + filters=params.filters or [], + orderby=params.orderby or [], + limit=params.limit, + session=session, + engine=engine, # type: ignore + ignore_errors=params.ignore_errors, + use_materialized=params.use_materialized, + query_parameters=query_parameters, + access_checker=access_checker, + ) + return TranslatedSQL.create( + sql=built_sql.sql, + columns=built_sql.columns, + dialect=built_sql.dialect, + ) + + async def _build_metrics_query( + self, + session: AsyncSession, + params: QueryRequestParams, + query_parameters: dict[str, Any], + access_checker: AccessChecker, + ) -> TranslatedSQL: + built_sql, _, _ = await build_sql_for_multiple_metrics( + session=session, + metrics=params.nodes, + dimensions=[dim for dim in (params.dimensions or []) if dim and dim != ""], + filters=params.filters or [], + orderby=params.orderby, + limit=params.limit, + engine_name=params.engine_name, + engine_version=params.engine_version, + access_checker=access_checker, + ignore_errors=params.ignore_errors, # type: ignore + query_parameters=query_parameters, + use_materialized=params.use_materialized, # type: ignore + ) + return TranslatedSQL.create( + sql=built_sql.sql, + columns=built_sql.columns, + dialect=built_sql.dialect, + ) diff --git a/datajunction-server/datajunction_server/internal/client.py b/datajunction-server/datajunction_server/internal/client.py new file mode 100644 index 000000000..c8c6b8e16 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/client.py @@ -0,0 +1,331 @@ +"""Helper functions to generate client code.""" + +import os +import urllib +from typing import List, Optional, cast + +from jinja2 import Environment, FileSystemLoader +from nbformat.v4 import new_code_cell, new_markdown_cell, new_notebook +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload + +from datajunction_server.construction.utils import to_namespaced_name +from datajunction_server.database import DimensionLink, Node, NodeRevision +from datajunction_server.database.column import Column +from datajunction_server.models.attribute import ColumnAttributes +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.dag import topological_sort +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.utils import SEPARATOR + +jinja_env = Environment( + loader=FileSystemLoader( + os.path.join(os.path.dirname(__file__), "templates"), + ), +) + + +def python_client_initialize(request_url: str): + """ + Returns the python client code to initialize the client. This function can be overridden + for different servers, based on how the client should be setup. + """ + parsed_url = urllib.parse.urlparse(str(request_url)) + server_url = f"{parsed_url.scheme}://{parsed_url.netloc}" + template = jinja_env.get_template("client_setup.j2") + return template.render(request_url=server_url) + + +def python_client_code_for_linking_complex_dimension( + node_name: str, + dimension_link: DimensionLink, + replace_namespace: Optional[str] = None, +): + """ + Returns the python client code to create a complex dimension link. + """ + node_short_name = node_name.split(SEPARATOR)[-1] + node_namespace = SEPARATOR.join(node_name.split(SEPARATOR)[:-1]) + if replace_namespace: + join_on_ast = dimension_link.join_sql_ast() + for col in join_on_ast.find_all(ast.Column): + col_node_namespace = str( + SEPARATOR.join(col.identifier().split(SEPARATOR)[:-2]), + ) + col_short_name = str(SEPARATOR.join(col.identifier().split(SEPARATOR)[-2:])) + if ( + replace_namespace + and col_node_namespace == node_namespace # pragma: no cover + ): + col.name = to_namespaced_name(f"{replace_namespace}.{col_short_name}") + join_on = str( + join_on_ast.select.from_.relations[-1].extensions[0].criteria.on, # type: ignore + ) + else: + join_on = dimension_link.join_sql + + dimension_node_name = ( + dimension_link.dimension.name.replace( + node_namespace, + replace_namespace, + ) + if replace_namespace + else dimension_link.dimension.name + ) + + template = jinja_env.get_template("link_dimension.j2") + return template.render( + node_short_name=node_short_name, + dimension_node=dimension_node_name, + join_on=join_on, + join_type=dimension_link.join_type.value, + role=dimension_link.role, + ) + + +async def python_client_code_for_setting_column_attributes( + session: AsyncSession, + node_name: str, +): + """ + Returns the python client code to set column attributes. + """ + node_short_name = node_name.split(SEPARATOR)[-1] + node = await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.columns).options( + selectinload(Column.attributes), + ), + ), + ], + ) + + template = jinja_env.get_template("set_column_attributes.j2") + snippets = [ + template.render( + node_short_name=node_short_name, + column_name=col.name, + attributes=[ + attr.attribute_type + for attr in col.attributes + if attr.attribute_type.name != ColumnAttributes.PRIMARY_KEY.value + ], + ) + for col in node.current.columns # type: ignore + if col.has_attributes_besides(ColumnAttributes.PRIMARY_KEY.value) + ] + return "\n\n".join(snippets) + + +async def python_client_create_node( + session: AsyncSession, + node_name: str, + replace_namespace: Optional[str] = None, +): + """ + Returns the python client code for creating this node + + replace_namespace: a string to replace the node namespace with + """ + node_short_name = node_name.split(SEPARATOR)[-1] + node = cast( + Node, + await Node.get_by_name( + session, + node_name, + options=[ + joinedload(Node.current).options( + *NodeRevision.default_load_options(), + selectinload(NodeRevision.cube_elements) + .selectinload(Column.node_revision) + .options( + selectinload(NodeRevision.node), + ), + ), + joinedload(Node.tags), + ], + raise_if_not_exists=True, + ), + ) + + if node.type == NodeType.SOURCE: + template = jinja_env.get_template("register_table.j2") + return template.render( + catalog=node.current.catalog.name, + schema=node.current.schema_, + table=node.current.table, + ) + + template = jinja_env.get_template(f"create_{node.type}.j2") + query = ( + node.current.query + if not node.current.query or not replace_namespace + else move_node_references_namespace( + SEPARATOR.join(node.name.split(SEPARATOR)[:-1]), + node.current.query, + replace_namespace, + ) + ).strip() + + return template.render( + short_name=node_short_name, + name=( + node.name + if not replace_namespace + else f"{replace_namespace}.{node_short_name}" + ), + display_name=node.current.display_name, + description=node.current.description.strip(), + mode=node.current.mode, + **( + {"primary_key": [col.name for col in node.current.primary_key()]} + if node.type != NodeType.METRIC + else { + "required_dimensions": [ # type: ignore + col.name for col in node.current.required_dimensions + ], + **( + { + "direction": ( # type: ignore + f"MetricDirection.{node.current.metric_metadata.direction.upper()}" + ), + } + if node.current.metric_metadata + and node.current.metric_metadata.direction + else {} + ), + **( + {"unit": node.current.metric_metadata.unit} + if node.current.metric_metadata + and node.current.metric_metadata.unit + else {} + ), + } + ), + **( + { + "metrics": [ + ( + f"{replace_namespace}{SEPARATOR}{metric.split(SEPARATOR)[-1]}" + if replace_namespace + else metric + ) + for metric in node.current.cube_node_metrics + ], + "dimensions": node.current.cube_node_dimensions, + } + if node.type == NodeType.CUBE + else {"query": query} + ), + tags=[tag.name for tag in node.tags], + ) + + +async def build_export_notebook( + session: AsyncSession, + nodes: List[Node], + introduction: str, + request_url: str, +): + """ + Builds a notebook with Python client code for exporting the list of provided nodes. + """ + notebook = new_notebook() + notebook.cells.append(new_markdown_cell(introduction)) + notebook.cells.append(new_code_cell(python_client_initialize(str(request_url)))) + sorted_nodes = topological_sort(nodes) + cells = await export_nodes_notebook_cells(session, sorted_nodes) + notebook.cells.extend(cells) + return notebook + + +def move_node_references_namespace(namespace: str, query: str, replacement: str) -> str: + """ + Moves all node references in this query to a different namespace but keeps + the node short names intact. + + Example: + move_node_references_namespace("SELECT a, b FROM default.one.c", "default.two") + The above will yield this modified query: + SELECT a, b FROM default.two.c + """ + query_ast = parse(query) + tables = query_ast.find_all(ast.Table) + for tbl in tables: + if str(tbl.name.namespace) == namespace: + tbl.name.namespace = to_namespaced_name(replacement) + return str(query_ast) + + +async def export_nodes_notebook_cells(session: AsyncSession, nodes: List[Node]): + """ + Returns notebook cells used for exporting the list of nodes. + A node export means the following: + - Client code to create the node and set the right tags + - Client code to link all dimensions set on the node + - Client code to set all column attributes on the node + """ + cells = [] + cells.append( + new_markdown_cell( + "### Upserting Nodes:\n" + "\n".join([f"* {node.name}" for node in nodes]), + ), + ) + + # Set up a namespace mapping between current namespaces and where they should be moved + # to. This is modifiable by the exported notebook user and can be used to move nodes + namespaces = {SEPARATOR.join(node.name.split(SEPARATOR)[:-1]) for node in nodes} + template = jinja_env.get_template("namespace_mapping.j2") + template.render(namespaces=namespaces) + cells.append(new_code_cell(template.render(namespaces=namespaces))) + + for node in nodes: + # Add cell for creating node + namespace = SEPARATOR.join(node.name.split(SEPARATOR)[:-1]) + cells.append( + new_code_cell( + await python_client_create_node( + session, + node.name, + replace_namespace=f"{{NAMESPACE_MAPPING['{namespace}']}}", + ), + ), + ) + + # Add cell for linking dimensions if needed + if node.current.dimension_links: + cells.append( + new_markdown_cell( + f"Linking dimensions for {node.type} node `{node.name}`:", + ), + ) + link_dimensions = "\n".join( + [ + python_client_code_for_linking_complex_dimension( + node.name, + link, + replace_namespace=f"{{NAMESPACE_MAPPING['{namespace}']}}", + ) + for link in node.current.dimension_links + ], + ) + cells.append(new_code_cell(link_dimensions)) + + # Add cell for setting column attributes if needed + if any( + col.has_attributes_besides(ColumnAttributes.PRIMARY_KEY.value) + for col in node.current.columns + ): + cells.append( + new_code_cell( + await python_client_code_for_setting_column_attributes( + session, + node.name, + ), + ), + ) + return cells diff --git a/datajunction-server/datajunction_server/internal/cube_materializations.py b/datajunction-server/datajunction_server/internal/cube_materializations.py new file mode 100644 index 000000000..4ff36e2f9 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/cube_materializations.py @@ -0,0 +1,292 @@ +"""Helper functions related to cube materializations.""" + +import itertools + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.internal.sql import get_measures_query +from datajunction_server.database.node import Column, NodeRevision +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.column import SemanticType +from datajunction_server.models.cube_materialization import ( + CombineMaterialization, + CubeMetric, + DruidCubeConfig, + MeasureKey, + MeasuresMaterialization, + UpsertCubeMaterialization, +) +from datajunction_server.models.node_type import NodeNameVersion +from datajunction_server.models.partition import Granularity +from datajunction_server.sql.parsing import ast + + +def generate_partition_filter_sql( + temporal_partition: Column, + lookback_window: str, +) -> str: + """ + Generate filter SQL on partitions + """ + logical_ts = "CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP)" + + def _partition_sql(timestamp_expression, column_type): + return f"CAST(DATE_FORMAT({timestamp_expression}, 'yyyyMMdd') AS {column_type})" + + partition_sql = _partition_sql(logical_ts, str(temporal_partition.type)) + if temporal_partition.partition.granularity == Granularity.DAY and ( + lookback_window == "1 DAY" or not lookback_window + ): + return f"{temporal_partition.name} = {partition_sql}" + lookback_timestamp = ( + f"{logical_ts} - INTERVAL {lookback_window}" # pragma: no cover + ) + partition_start = _partition_sql( # pragma: no cover + lookback_timestamp, + str(temporal_partition.type), + ) + return ( # pragma: no cover + f"{temporal_partition.name} BETWEEN {partition_start} AND {partition_sql}" + ) + + +def combine_measures_on_shared_grain( + measures_materializations: list[MeasuresMaterialization], + query_grain: list[str], +) -> ast.Query: + """ + Generate a query that combines measures datasets on their shared grain. + An example: + SELECT + COALESCE(measureA.grain1, measureB.grain1) grain1, + COALESCE(measureA.grain2, measureB.grain2) grain2, + measureA.one, + measureA.two, + measureB.three, + measureB.four + FROM measureA + JOIN measureB ON + measureA.grain1 = measureB.grain1 AND + measureA.grain2 = measureB.grain2 + """ + measures_tables = { + mat.output_table_name: mat.table_ast() for mat in measures_materializations + } + initial_mat = measures_materializations[0] + + # Coalesce grain fields + grain_fields = [ + ast.Function( + name=ast.Name("COALESCE"), + args=[ + ast.Column( + name=ast.Name(grain), + _table=measures_tables.get(mat.output_table_name), + ) + for mat in measures_materializations + ], + ).set_alias(alias=ast.Name(grain)) + for grain in query_grain + ] + measures_fields = [ + ast.Column( + name=ast.Name(measure.name), + _table=measures_tables.get(mat.output_table_name), + semantic_type=SemanticType.MEASURE, + ) + for mat in measures_materializations + for measure in mat.measures + ] + from_relation = ast.Relation( + primary=measures_tables.get(initial_mat.output_table_name), # type: ignore + extensions=[ + ast.Join( + join_type="FULL OUTER", + right=ast.Table(name=ast.Name(measures_tables[mat.output_table_name])), + criteria=ast.JoinCriteria( + on=_combine_measures_join_criteria( + measures_tables[initial_mat.output_table_name], + measures_tables[mat.output_table_name], + query_grain, + ), + ), + ) + for mat in measures_materializations[1:] + ], + ) + return ast.Query( + select=ast.Select( + projection=grain_fields + measures_fields, # type: ignore + from_=ast.From(relations=[from_relation]), + ), + ) + + +def _combine_measures_join_criteria(left_table, right_table, query_grain): + """ + Generate the join condition across tables for shared grains. + """ + return ast.BinaryOp.And( + *[ + ast.BinaryOp.Eq( + ast.Column(name=ast.Name(grain), _table=left_table), + ast.Column(name=ast.Name(grain), _table=right_table), + ) + for grain in query_grain + ], + ) + + +def _extract_expression(metric_query: str) -> str: + """ + Extract only the derived metric expression from a metric query. + """ + expression = parse(metric_query).select.projection[0] + return str( + expression.child + if isinstance(expression, ast.Alias) + else expression.without_aliases() + if isinstance(expression, ast.Expression) + else expression, + ) + + +async def build_cube_materialization( + session: AsyncSession, + current_revision: NodeRevision, + upsert_input: UpsertCubeMaterialization, +) -> DruidCubeConfig: + """ + Build the full config needed for a Druid cube materialization + """ + temporal_partitions = current_revision.temporal_partition_columns() + temporal_partition = temporal_partitions[0] + measures_queries = await get_measures_query( + session=session, + metrics=current_revision.cube_node_metrics, + dimensions=current_revision.cube_node_dimensions, + filters=[ + generate_partition_filter_sql( + temporal_partition, + upsert_input.lookback_window, # type: ignore + ), + ], + include_all_columns=False, + use_materialized=True, + preagg_requested=True, + ) + query_grains = { + k: [q.node.name for q in queries] + for k, queries in itertools.groupby( + measures_queries, + lambda query: tuple(query.grain), # type: ignore + ) + } + if len(query_grains) > 1: + raise DJInvalidInputException( # pragma: no cover + "DJ cannot manage materializations for cubes that have underlying " + "measures queries at different grains: " + + " vs ".join( + f"{', '.join(query_nodes)} at [{', '.join(grain)}]" + for grain, query_nodes in query_grains.items() + ), + ) + measures_materializations = [ + MeasuresMaterialization.from_measures_query(measures_query, temporal_partition) + for measures_query in measures_queries + ] + + # Combine the queries on the shared query grain + query_grain = next(iter(query_grains)) + if len(measures_materializations) == 1: + measures_materialization = measures_materializations[0] + combiners = [ + CombineMaterialization( + node=measures_materialization.node, + output_table_name=measures_materialization.output_table_name, + columns=measures_materialization.columns, + grain=measures_materialization.grain, + measures=measures_materialization.measures, + dimensions=measures_materialization.dimensions, + timestamp_column=measures_materialization.timestamp_column, + timestamp_format=measures_materialization.timestamp_format, + granularity=measures_materialization.granularity, + upstream_tables=[measures_materialization.output_table_name], + ), + ] + if len(measures_materializations) > 1: + measures_materialization = measures_materializations[0] + combiner_query = combine_measures_on_shared_grain( + measures_materializations, + query_grain, # type: ignore + ) + columns_metadata_lookup = { + col.name: col + for mat in measures_materializations + for col in mat.columns + if col.name in combiner_query.select.column_mapping + } + measures_lookup = { + measure.name: measure + for mat in measures_materializations + for measure in mat.measures + } + combiners = [ + CombineMaterialization( + node=current_revision, + query=str(combiner_query), + columns=[ + columns_metadata_lookup.get(col.alias_or_name.name) # type: ignore + for col in combiner_query.select.projection + ], + grain=query_grain, + measures=[ + measures_lookup.get(col.alias_or_name.name) # type: ignore + for col in combiner_query.select.projection + if col.semantic_type == SemanticType.MEASURE # type: ignore + ], + dimensions=query_grain, + timestamp_column=measures_materialization.timestamp_column, + timestamp_format=measures_materialization.timestamp_format, + granularity=measures_materialization.granularity, + ), + ] + + metrics_mapping = { + metric: (measures_query.node, measures) + for measures_query in measures_queries + for metric, measures in measures_query.metrics.items() # type: ignore + } + config = DruidCubeConfig( + cube=NodeNameVersion( + name=current_revision.name, + version=current_revision.version, + display_name=current_revision.display_name, + ), + metrics=[ + CubeMetric( + metric=NodeNameVersion( + name=metric.name, + version=metric.current_version, + display_name=metric.current.display_name, + ), + required_measures=[ + MeasureKey( + node=metrics_mapping.get(metric.name)[0], # type: ignore + measure_name=measure.name, + ) + for measure in metrics_mapping.get(metric.name)[1][0] # type: ignore + ], + derived_expression=metrics_mapping.get(metric.name)[1][1], # type: ignore + metric_expression=_extract_expression( + metrics_mapping.get(metric.name)[1][1], # type: ignore + ), + ) + for metric in current_revision.cube_metrics() + ], + dimensions=current_revision.cube_node_dimensions, + measures_materializations=measures_materializations, + combiners=combiners, + ) + return config diff --git a/datajunction-server/datajunction_server/internal/deployment/__init__.py b/datajunction-server/datajunction_server/internal/deployment/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/internal/deployment/deployment.py b/datajunction-server/datajunction_server/internal/deployment/deployment.py new file mode 100644 index 000000000..76050d6ef --- /dev/null +++ b/datajunction-server/datajunction_server/internal/deployment/deployment.py @@ -0,0 +1,30 @@ +import logging +from sqlalchemy.ext.asyncio import AsyncSession +from datajunction_server.internal.deployment.orchestrator import DeploymentOrchestrator +from datajunction_server.models.deployment import ( + DeploymentResult, + DeploymentSpec, +) +from datajunction_server.internal.deployment.utils import DeploymentContext +from datajunction_server.utils import get_settings + +settings = get_settings() +logger = logging.getLogger(__name__) + + +async def deploy( + session: AsyncSession, + deployment_id: str, + deployment: DeploymentSpec, + context: DeploymentContext, +) -> list[DeploymentResult]: + """ + Deploy to a namespace based on the given deployment specification. + """ + orchestrator = DeploymentOrchestrator( + deployment_id=deployment_id, + deployment_spec=deployment, + session=session, + context=context, + ) + return await orchestrator.execute() diff --git a/datajunction-server/datajunction_server/internal/deployment/impact.py b/datajunction-server/datajunction_server/internal/deployment/impact.py new file mode 100644 index 000000000..6dc0471e2 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/deployment/impact.py @@ -0,0 +1,675 @@ +""" +Deployment impact analysis - predicts effects of a deployment without executing it. +""" + +import logging +import time + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.namespace import NodeNamespace +from datajunction_server.database.node import Node +from datajunction_server.models.deployment import ( + ColumnSpec, + CubeSpec, + DeploymentSpec, + LinkableNodeSpec, + NodeSpec, +) +from datajunction_server.models.impact import ( + ColumnChange, + ColumnChangeType, + DeploymentImpactResponse, + DownstreamImpact, + ImpactType, + NodeChange, + NodeChangeOperation, +) +from datajunction_server.models.node import NodeStatus, NodeType +from datajunction_server.errors import DJException +from datajunction_server.internal.deployment.validation import ( + NodeSpecBulkValidator, + NodeValidationResult, + ValidationContext, +) +from datajunction_server.sql.dag import get_downstream_nodes +from datajunction_server.sql.parsing.backends.antlr4 import ast + +logger = logging.getLogger(__name__) + + +async def analyze_deployment_impact( + session: AsyncSession, + deployment_spec: DeploymentSpec, +) -> DeploymentImpactResponse: + """ + Analyze the impact of a deployment WITHOUT actually deploying. + + Returns: + DeploymentImpactResponse with: + - Direct changes (CREATE/UPDATE/DELETE/NOOP) + - Predicted downstream impacts + - Warnings about potential issues + """ + start_time = time.perf_counter() + logger.info( + "Analyzing impact for deployment of %d nodes to namespace %s", + len(deployment_spec.nodes), + deployment_spec.namespace, + ) + + # Load existing nodes in the namespace (may not exist yet) + existing_nodes = [] + try: + existing_nodes = await NodeNamespace.list_all_nodes( + session, + deployment_spec.namespace, + options=Node.cube_load_options(), + ) + except Exception as e: + # Namespace doesn't exist - all nodes will be creates + logger.info( + "Namespace %s does not exist, all nodes will be creates: %s", + deployment_spec.namespace, + e, + ) + + existing_nodes_map = {node.name: node for node in existing_nodes} + + # Convert existing nodes to specs for comparison + existing_specs = {node.name: await node.to_spec(session) for node in existing_nodes} + + # Build validation context to reuse validation logic for column inference + validation_results_map = await _validate_specs_for_impact( + session, + deployment_spec.nodes, + existing_nodes_map, + ) + + # Analyze direct changes + changes = [] + to_create = [] + to_update = [] + to_skip = [] + + for node_spec in deployment_spec.nodes: + existing_spec = existing_specs.get(node_spec.rendered_name) + existing_node = existing_nodes_map.get(node_spec.rendered_name) + + if not existing_spec: + # New node + changes.append( + NodeChange( + name=node_spec.rendered_name, + operation=NodeChangeOperation.CREATE, + node_type=node_spec.node_type, + display_name=node_spec.display_name, + description=node_spec.description, + current_status=None, + ), + ) + to_create.append(node_spec) + else: + # Check for spec changes + spec_changed = node_spec != existing_spec + changed_fields = existing_spec.diff(node_spec) if spec_changed else [] + + # Get validation result which has inferred columns + validation_result = validation_results_map.get(node_spec.rendered_name) + inferred_columns = ( + validation_result.inferred_columns if validation_result else None + ) + + # Detect column changes using inferred columns (or fallback to spec columns) + # Skip column comparison for cubes - their validity depends on metrics/dimensions + column_changes = [] + if node_spec.node_type != NodeType.CUBE: # pragma: no branch + column_changes = _detect_column_changes( + existing_node, + node_spec, + inferred_columns=inferred_columns, + ) + + # If column changes detected, this is an update even if spec __eq__ returned True + if spec_changed or column_changes: + changes.append( + NodeChange( + name=node_spec.rendered_name, + operation=NodeChangeOperation.UPDATE, + node_type=node_spec.node_type, + display_name=node_spec.display_name, + description=node_spec.description, + current_status=existing_node.current.status + if existing_node + else None, + changed_fields=changed_fields, + column_changes=column_changes, + ), + ) + to_update.append(node_spec) + else: + # Unchanged node + changes.append( + NodeChange( + name=node_spec.rendered_name, + operation=NodeChangeOperation.NOOP, + node_type=node_spec.node_type, + display_name=node_spec.display_name, + description=node_spec.description, + current_status=existing_node.current.status + if existing_node + else None, + ), + ) + to_skip.append(node_spec) + + # Detect nodes to delete (exist in namespace but not in deployment) + desired_names = {n.rendered_name for n in deployment_spec.nodes} + to_delete = [ + existing_spec + for name, existing_spec in existing_specs.items() + if name not in desired_names + ] + + for deleted_spec in to_delete: + existing_node = existing_nodes_map.get(deleted_spec.rendered_name) + changes.append( + NodeChange( + name=deleted_spec.rendered_name, + operation=NodeChangeOperation.DELETE, + node_type=deleted_spec.node_type, + display_name=deleted_spec.display_name, + description=deleted_spec.description, + current_status=existing_node.current.status if existing_node else None, + ), + ) + + # Analyze downstream impact for changed nodes + changed_node_names = [ + c.name + for c in changes + if c.operation in (NodeChangeOperation.UPDATE, NodeChangeOperation.DELETE) + ] + + downstream_impacts = [] + if changed_node_names: + downstream_impacts = await _analyze_downstream_impacts( + session=session, + changes=changes, + deployment_namespace=deployment_spec.namespace, + ) + + # Generate warnings + warnings = _generate_warnings(changes, downstream_impacts) + + # Calculate counts + will_invalidate_count = sum( + 1 for imp in downstream_impacts if imp.impact_type == ImpactType.WILL_INVALIDATE + ) + may_affect_count = sum( + 1 for imp in downstream_impacts if imp.impact_type == ImpactType.MAY_AFFECT + ) + + logger.info( + "Impact analysis completed in %.3fs: %d creates, %d updates, %d deletes, " + "%d skips, %d downstream impacts", + time.perf_counter() - start_time, + len(to_create), + len(to_update), + len(to_delete), + len(to_skip), + len(downstream_impacts), + ) + + return DeploymentImpactResponse( + namespace=deployment_spec.namespace, + changes=changes, + create_count=len(to_create), + update_count=len(to_update), + delete_count=len(to_delete), + skip_count=len(to_skip), + downstream_impacts=downstream_impacts, + will_invalidate_count=will_invalidate_count, + may_affect_count=may_affect_count, + warnings=warnings, + ) + + +async def _validate_specs_for_impact( + session: AsyncSession, + node_specs: list[NodeSpec], + existing_nodes_map: dict[str, Node], +) -> dict[str, NodeValidationResult]: + """ + Use the NodeSpecBulkValidator to validate specs and get inferred columns. + + This reuses the same validation logic used during deployment to ensure + accurate column inference for all node types (transform, dimension, metric, cube). + """ + if not node_specs: + return {} + + # Build dependency graph and compile context + node_graph: dict[str, list[str]] = {} + for spec in node_specs: + node_graph[spec.rendered_name] = [] + + compile_context = ast.CompileContext( + session=session, + exception=DJException(), + dependencies_cache=existing_nodes_map, + ) + + # Create validation context + context = ValidationContext( + session=session, + node_graph=node_graph, + dependency_nodes=existing_nodes_map, + compile_context=compile_context, + ) + + # Validate nodes to get inferred columns + validator = NodeSpecBulkValidator(context) + try: + results = await validator.validate(node_specs) + return {result.spec.rendered_name: result for result in results} + except Exception as e: + logger.warning("Failed to validate specs for impact analysis: %s", e) + return {} + + +def _detect_column_changes( + existing_node: Node | None, + new_spec: NodeSpec, + inferred_columns: list[ColumnSpec] | None = None, +) -> list[ColumnChange]: + """ + Compare existing node columns to new columns and detect breaking changes. + + Uses inferred_columns (from query parsing) if provided, otherwise falls + back to spec.columns. This enables accurate change detection even when + YAML doesn't include explicit column definitions. + """ + changes: list[ColumnChange] = [] + + if not existing_node or not existing_node.current: + return changes + + existing_columns = {col.name: col for col in existing_node.current.columns} + + # Prefer inferred columns (from query parsing) over spec columns + new_columns: dict[str, ColumnSpec] = {} + if inferred_columns: + # Use columns inferred from query parsing + new_columns = {col.name: col for col in inferred_columns} + elif isinstance(new_spec, LinkableNodeSpec) and new_spec.columns: + # Fallback to spec columns if available + new_columns = {col.name: col for col in new_spec.columns} + elif isinstance(new_spec, CubeSpec) and new_spec.columns: + # Cubes shouldn't have columns in spec but handle just in case + new_columns = {col.name: col for col in new_spec.columns} + + # If no columns available, we can't detect column changes + if not new_columns: + return changes + + # Detect removed columns (breaking change) + for col_name in existing_columns.keys() - new_columns.keys(): + changes.append( + ColumnChange( + column=col_name, + change_type=ColumnChangeType.REMOVED, + old_type=str(existing_columns[col_name].type), + ), + ) + + # Detect added columns (non-breaking) + for col_name in new_columns.keys() - existing_columns.keys(): + changes.append( + ColumnChange( + column=col_name, + change_type=ColumnChangeType.ADDED, + new_type=new_columns[col_name].type, + ), + ) + + # Detect type changes (potentially breaking) + for col_name in existing_columns.keys() & new_columns.keys(): + old_type = str(existing_columns[col_name].type) + new_type = new_columns[col_name].type + # Normalize types before comparison to avoid false positives + # (e.g., "bigint" vs "long" are semantically identical) + if _normalize_type(old_type) != _normalize_type(new_type): + changes.append( + ColumnChange( + column=col_name, + change_type=ColumnChangeType.TYPE_CHANGED, + old_type=old_type, + new_type=new_type, + ), + ) + + return changes + + +# Type aliases - map alternative names to canonical names +_TYPE_ALIASES: dict[str, str] = { + # Integer types + "long": "bigint", + "int64": "bigint", + "integer": "int", + "int32": "int", + "short": "smallint", + "int16": "smallint", + "byte": "tinyint", + "int8": "tinyint", + # Floating point types + "double": "double", + "float64": "double", + "float": "float", + "float32": "float", + "real": "float", + # String types + "string": "varchar", + "text": "varchar", + # Boolean + "bool": "boolean", +} + + +def _normalize_type(type_str: str | None) -> str: + """ + Normalize a type string to a canonical form for comparison. + + This handles aliases like: + - bigint / long / int64 → bigint + - int / integer / int32 → int + - double / float64 → double + - string / varchar / text → varchar + """ + if not type_str: + return "" + + # Lowercase and strip whitespace + normalized = type_str.lower().strip() + + # Check for aliases + return _TYPE_ALIASES.get(normalized, normalized) + + +async def _analyze_downstream_impacts( + session: AsyncSession, + changes: list[NodeChange], + deployment_namespace: str, +) -> list[DownstreamImpact]: + """ + Analyze how downstream nodes will be affected by the changes. + """ + impacts: list[DownstreamImpact] = [] + seen_downstreams: set[str] = set() + + # Get the names of nodes being directly changed + directly_changed_names = { + c.name for c in changes if c.operation != NodeChangeOperation.NOOP + } + + for change in changes: + # Only analyze impact for updates and deletes + if change.operation not in ( + NodeChangeOperation.UPDATE, + NodeChangeOperation.DELETE, + ): + continue + + # Get all downstream nodes + try: + downstreams = await get_downstream_nodes( + session, + change.name, + include_deactivated=False, + include_cubes=True, + ) + except Exception as e: + logger.warning( + "Failed to get downstreams for %s: %s", + change.name, + e, + ) + continue + + for downstream in downstreams: + # Skip if this downstream is being directly changed in this deployment + if downstream.name in directly_changed_names: + continue + + # Skip if we've already analyzed this downstream + if downstream.name in seen_downstreams: + # But we should add this change to the caused_by list + for impact in impacts: + if ( + impact.name == downstream.name + and change.name not in impact.caused_by + ): + impact.caused_by.append(change.name) + continue + + seen_downstreams.add(downstream.name) + + # Predict impact based on change type + impact = _predict_downstream_impact( + downstream=downstream, + change=change, + deployment_namespace=deployment_namespace, + ) + impacts.append(impact) + + # Sort by severity and depth + impacts.sort( + key=lambda x: ( + 0 if x.impact_type == ImpactType.WILL_INVALIDATE else 1, + x.depth, + x.name, + ), + ) + + return impacts + + +def _predict_downstream_impact( + downstream: Node, + change: NodeChange, + deployment_namespace: str, +) -> DownstreamImpact: + """ + Predict how a single downstream node will be affected by a change. + """ + current_status = ( + downstream.current.status if downstream.current else NodeStatus.INVALID + ) + + # Determine if the downstream is external to the deployment namespace + is_external = not downstream.name.startswith(deployment_namespace + ".") + + # Predict impact based on change type + if change.operation == NodeChangeOperation.DELETE: + # Deleting a node will definitely invalidate downstreams + return DownstreamImpact( + name=downstream.name, + node_type=downstream.type, + current_status=current_status, + predicted_status=NodeStatus.INVALID, + impact_type=ImpactType.WILL_INVALIDATE, + impact_reason=f"Depends on {change.name} which will be deleted", + depth=1, + caused_by=[change.name], + is_external=is_external, + ) + + # Cubes and derived metrics reference other metrics by node name, not by internal columns. + # So column-level changes in metrics don't directly affect them the same way as transforms. + # For these cases, just indicate that a dependency changed without showing column details. + if ( + downstream.type in (NodeType.CUBE, NodeType.METRIC) + and change.node_type == NodeType.METRIC + ): + # For metric type changes, indicate it may affect the output type + if change.column_changes: + type_changes = [ + cc + for cc in change.column_changes + if cc.change_type == ColumnChangeType.TYPE_CHANGED + ] + if type_changes: + return DownstreamImpact( + name=downstream.name, + node_type=downstream.type, + current_status=current_status, + predicted_status=NodeStatus.VALID, # Should still be valid + impact_type=ImpactType.MAY_AFFECT, + impact_reason=f"Metric {change.name} has type changes that may affect output", + depth=1, + caused_by=[change.name], + is_external=is_external, + ) + # For other changes, just note it may need revalidation + return DownstreamImpact( + name=downstream.name, + node_type=downstream.type, + current_status=current_status, + predicted_status=current_status, + impact_type=ImpactType.MAY_AFFECT, + impact_reason=f"Depends on metric {change.name} which is being updated", + depth=1, + caused_by=[change.name], + is_external=is_external, + ) + + # Cubes depending on non-metric changes (dimensions) + if downstream.type == NodeType.CUBE: + return DownstreamImpact( + name=downstream.name, + node_type=downstream.type, + current_status=current_status, + predicted_status=current_status, + impact_type=ImpactType.MAY_AFFECT, + impact_reason=f"Depends on {change.node_type.value} {change.name} which is being updated", + depth=1, + caused_by=[change.name], + is_external=is_external, + ) + + # For non-cube downstreams, check for breaking column changes + breaking_column_changes = [ + cc + for cc in change.column_changes + if cc.change_type in (ColumnChangeType.REMOVED, ColumnChangeType.TYPE_CHANGED) + ] + + if breaking_column_changes: + # We can't be certain if downstream actually references these columns + # without parsing its query. Use MAY_AFFECT to be honest about uncertainty. + breaking_columns = [cc.column for cc in breaking_column_changes] + + return DownstreamImpact( + name=downstream.name, + node_type=downstream.type, + current_status=current_status, + predicted_status=current_status, # Unknown without query analysis + impact_type=ImpactType.MAY_AFFECT, + impact_reason=f"Columns {breaking_columns} changed in {change.name} - may affect if referenced", + depth=1, + caused_by=[change.name], + is_external=is_external, + ) + + # For other updates, the downstream may need revalidation + return DownstreamImpact( + name=downstream.name, + node_type=downstream.type, + current_status=current_status, + predicted_status=current_status, # Status likely unchanged + impact_type=ImpactType.MAY_AFFECT, + impact_reason=f"Depends on {change.name} which is being updated", + depth=1, + caused_by=[change.name], + is_external=is_external, + ) + + +def _generate_warnings( + changes: list[NodeChange], + downstream_impacts: list[DownstreamImpact], +) -> list[str]: + """ + Generate warnings about potential issues with the deployment. + """ + warnings = [] + + # Warn about breaking column changes + for change in changes: + if change.operation == NodeChangeOperation.UPDATE: + for cc in change.column_changes: + if cc.change_type == ColumnChangeType.REMOVED: + warnings.append( + f"Breaking change: Column '{cc.column}' is being removed from " + f"'{change.name}'", + ) + elif cc.change_type == ColumnChangeType.TYPE_CHANGED: + warnings.append( + f"Potential breaking change: Column '{cc.column}' in '{change.name}' " + f"is changing type from {cc.old_type} to {cc.new_type}", + ) + + # Warn about query changes where we couldn't detect column changes + # This happens when query parsing fails or columns are unchanged + # Note: We now try to infer columns from queries, so this warning only + # triggers when inference failed or no column changes were detected + # Cubes are excluded since we don't compare columns for them + query_changes_no_column_changes = [ + change.name + for change in changes + if change.operation == NodeChangeOperation.UPDATE + and "query" in change.changed_fields + and not change.column_changes # No column changes detected/inferred + and change.node_type != NodeType.CUBE # Cubes don't have column comparison + ] + if query_changes_no_column_changes: + warnings.append( + f"Query changed for: {', '.join(query_changes_no_column_changes)}. " + f"No column changes detected (columns may be unchanged, or parsing failed).", + ) + + # Warn about deletions with downstream dependencies + deletions_with_downstreams = [ + change.name + for change in changes + if change.operation == NodeChangeOperation.DELETE + and any(change.name in impact.caused_by for impact in downstream_impacts) + ] + if deletions_with_downstreams: + warnings.append( + f"Deleting nodes with downstream dependencies: {', '.join(deletions_with_downstreams)}", + ) + + # Warn about external impacts + external_impacts = [imp for imp in downstream_impacts if imp.is_external] + if external_impacts: + external_names = [imp.name for imp in external_impacts[:5]] + more = len(external_impacts) - 5 if len(external_impacts) > 5 else 0 + warnings.append( + f"Changes will affect nodes outside this namespace: {', '.join(external_names)}" + + (f" and {more} more" if more else ""), + ) + + # Warn about high impact count + will_invalidate = [ + imp + for imp in downstream_impacts + if imp.impact_type == ImpactType.WILL_INVALIDATE + ] + if len(will_invalidate) > 10: + warnings.append( + f"This deployment will invalidate {len(will_invalidate)} downstream nodes", + ) + + return warnings diff --git a/datajunction-server/datajunction_server/internal/deployment/orchestrator.py b/datajunction-server/datajunction_server/internal/deployment/orchestrator.py new file mode 100644 index 000000000..f90a897b7 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/deployment/orchestrator.py @@ -0,0 +1,2016 @@ +import asyncio +import logging +from dataclasses import dataclass, field +import re +import time +from typing import Coroutine, cast +from collections import Counter + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.construction.build_v2 import FullColumnName +from datajunction_server.api.helpers import ( + get_attribute_type, + get_node_namespace, + COLUMN_NAME_REGEX, + map_dimensions_to_roles, +) +from datajunction_server.database.attributetype import AttributeType +from datajunction_server.database.partition import Partition +from datajunction_server.database.namespace import NodeNamespace +from datajunction_server.database.tag import Tag +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.user import User, OAuthProvider +from datajunction_server.database.node import Node +from datajunction_server.models.node import NodeType +from datajunction_server.internal.deployment.validation import ( + NodeValidationResult, + CubeValidationData, +) +from dataclasses import dataclass +from datajunction_server.internal.nodes import ( + hard_delete_node, + validate_complex_dimension_link, +) +from datajunction_server.models.deployment import ( + ColumnSpec, + CubeSpec, + DeploymentResult, + DeploymentSpec, + DimensionReferenceLinkSpec, + LinkableNodeSpec, + NodeSpec, + TagSpec, +) +from datajunction_server.errors import ( + DJError, + DJInvalidDeploymentConfig, + DJInvalidInputException, + DJWarning, + ErrorCode, +) +from datajunction_server.models.base import labelize +from datajunction_server.internal.deployment.utils import ( + extract_node_graph, + topological_levels, +) +from datajunction_server.internal.deployment.utils import DeploymentContext +from datajunction_server.database.user import User +from datajunction_server.database import Node, NodeRevision +from datajunction_server.database.metricmetadata import MetricMetadata +from datajunction_server.api.helpers import get_attribute_type +from datajunction_server.models.base import labelize +from datajunction_server.models.node import ( + DEFAULT_DRAFT_VERSION, + DEFAULT_PUBLISHED_VERSION, + NodeMode, +) +from datajunction_server.internal.deployment.validation import ( + bulk_validate_node_data, +) +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.column import Column, ColumnAttribute +from datajunction_server.database.dimensionlink import DimensionLink, JoinType +from datajunction_server.database.namespace import NodeNamespace +from datajunction_server.database.tag import Tag +from datajunction_server.models.attribute import ColumnAttributes +from datajunction_server.models.deployment import ( + CubeSpec, + DeploymentResult, + DeploymentSpec, + DeploymentStatus, + DimensionJoinLinkSpec, + LinkableNodeSpec, + MetricSpec, + SourceSpec, + NodeSpec, +) +from datajunction_server.models.dimensionlink import ( + JoinLinkInput, + LinkType, +) +from datajunction_server.models.history import ActivityType +from datajunction_server.database.history import History +from datajunction_server.internal.history import EntityType +from datajunction_server.models.node import ( + NodeStatus, + NodeType, +) +from datajunction_server.errors import ( + DJInvalidDeploymentConfig, +) +from datajunction_server.utils import SEPARATOR, Version, get_namespace_from_name + +from sqlalchemy.orm import joinedload, selectinload, defer + + +logger = logging.getLogger(__name__) + + +@dataclass +class ResourceRegistry: + """ + Tracks all resources created/used during deployment + """ + + namespaces: list[NodeNamespace] = field(default_factory=list) + tags: dict[str, Tag] = field(default_factory=dict) + owners: dict[str, User] = field(default_factory=dict) + catalogs: dict[str, Catalog] = field(default_factory=dict) + nodes: dict[str, Node] = field(default_factory=dict) + attributes: dict[str, AttributeType] = field(default_factory=dict) + + def add_tags(self, tags: dict[str, Tag]): + self.tags.update(tags) + + def add_owners(self, owners: dict[str, User]): + self.owners.update(owners) + + def add_catalogs(self, catalogs: dict[str, Catalog]): + self.catalogs.update(catalogs) + + def add_nodes(self, nodes: dict[str, Node]): + self.nodes.update(nodes) + + def set_namespaces(self, namespaces: list[NodeNamespace]): + self.namespaces = namespaces + + def add_attributes(self, attributes: dict[str, AttributeType]): + self.attributes.update(attributes) + + +@dataclass +class DeploymentPlan: + to_deploy: list[NodeSpec] + to_skip: list[NodeSpec] + to_delete: list[NodeSpec] + existing_specs: dict[str, NodeSpec] + node_graph: dict[str, list[str]] + external_deps: set[str] + + def is_empty(self) -> bool: + return not self.to_deploy and not self.to_delete + + @property + def linked_dimension_nodes(self) -> set[str]: + return { + link.rendered_dimension_node + for node_spec in self.to_deploy + if isinstance(node_spec, LinkableNodeSpec) and node_spec.dimension_links + for link in node_spec.dimension_links + } + + +class DeploymentOrchestrator: + """ + Handles validation and deployment of all resources in a deployment specification + """ + + def __init__( + self, + deployment_spec: DeploymentSpec, + deployment_id: str, + session: AsyncSession, + context: DeploymentContext, + ): + # Deployment context + self.deployment_spec = deployment_spec + self.deployment_id = deployment_id + self.session = session + self.context = context + + # Deployment state tracking + self.registry = ResourceRegistry() + self.errors: list[DJError] = [] + self.warnings: list[DJError] = [] + self.deployed_results: list[DeploymentResult] = [] + + async def execute(self) -> list[DeploymentResult]: + """ + Validate and deploy all resources and nodes into the specified namespace. + """ + start_total = time.perf_counter() + logger.info( + "Starting deployment of %d nodes in namespace %s", + len(self.deployment_spec.nodes), + self.deployment_spec.namespace, + ) + await self._setup_deployment_resources() + await self._validate_deployment_resources() + + deployment_plan = await self._create_deployment_plan() + if deployment_plan.is_empty(): + return await self._handle_no_changes() + + await self._execute_deployment_plan(deployment_plan) + logger.info( + "Completed deployment for %s [%s] in %.3fs", + self.deployment_spec.namespace, + self.deployment_id, + time.perf_counter() - start_total, + ) + return self.deployed_results + + async def _update_deployment_status(self): + """ + Update deployment status with current results + """ + from datajunction_server.api.deployments import InProcessExecutor + + await InProcessExecutor.update_status( + self.deployment_id, + DeploymentStatus.RUNNING, + self.deployed_results, + ) + + async def _setup_deployment_resources(self): + """ + Setup all deployment-level resources + """ + self.registry.set_namespaces(await self._setup_namespaces()) + self.registry.add_tags(await self._setup_tags()) + self.registry.add_owners(await self._setup_owners()) + self.registry.add_catalogs(await self._setup_catalogs()) + self.registry.add_attributes(await self._setup_attributes()) + logger.info( + "Set up deployment resources: %d namespaces, %d tags, %d owners, %d catalogs, %d attributes", + len(self.registry.namespaces), + len(self.registry.tags), + len(self.registry.owners), + len(self.registry.catalogs), + len(self.registry.attributes), + ) + + async def _validate_deployment_resources(self): + """Validate deployment configuration and fail fast if invalid""" + # Check for duplicate node specs + node_names = [node.rendered_name for node in self.deployment_spec.nodes] + if len(node_names) != len(set(node_names)): # pragma: no branch + duplicates = [ + name for name, count in Counter(node_names).items() if count > 1 + ] + self.errors.append( + DJError( + code=ErrorCode.ALREADY_EXISTS, + message=f"Duplicate nodes in deployment spec: {', '.join(duplicates)}", + ), + ) + + if self.errors: + raise DJInvalidDeploymentConfig( + message="Invalid deployment configuration", + errors=self.errors, + warnings=self.warnings, + ) + + async def _handle_no_changes(self) -> list[DeploymentResult]: + """Handle case where no deployment changes are needed""" + logger.info("No changes detected, skipping deployment") + await self._update_deployment_status() + return self.deployed_results + + async def _find_namespaces_to_create(self) -> set[str]: + """ + Identify all namespaces that need to be created based on nodes in the deployment. + """ + deployment_namespace = self.deployment_spec.namespace + all_namespaces = {deployment_namespace} # Start with deployment namespace + + # Process each node to extract namespace hierarchy + for node in self.deployment_spec.nodes: + node_name = node.rendered_name + if SEPARATOR not in node_name: + continue # pragma: no cover + + # Get the node's direct namespace (everything except the root name) + node_namespace = node_name.rsplit(SEPARATOR, 1)[0] + + # Generate all parent namespaces up to deployment root + namespace_parts = node_namespace.split(SEPARATOR) + deployment_parts = deployment_namespace.split(SEPARATOR) + + # Ensure node is actually under deployment namespace + if not node_namespace.startswith(deployment_namespace): + self.errors.append( + DJError( + code=ErrorCode.INVALID_NAMESPACE, + message=f"Node '{node_name}' is not under deployment namespace '{deployment_namespace}'", + context="namespace validation", + ), + ) + continue + + # Build all namespace levels from deployment root to node's namespace + for i in range(len(deployment_parts), len(namespace_parts) + 1): + if parent_namespace := SEPARATOR.join( + namespace_parts[:i], + ): # pragma: no cover + all_namespaces.add(parent_namespace) + return all_namespaces + + async def _setup_namespaces(self) -> list[NodeNamespace]: + namespace_start = time.perf_counter() + to_create = await self._find_namespaces_to_create() + node_namespaces = [] + for namespace in to_create: + node_namespace = await get_node_namespace( # pragma: no cover + session=self.session, + namespace=namespace, + raise_if_not_exists=False, + ) + if not node_namespace: + logger.info("Creating namespace `%s`", namespace) + node_namespace = NodeNamespace(namespace=namespace) + self.session.add(node_namespace) + node_namespaces.append(node_namespace) + await self.session.flush() + logger.info( + "Created %d namespaces in %.3fs", + len(to_create), + time.perf_counter() - namespace_start, + ) + return node_namespaces + + async def _setup_tags( + self, + ) -> dict[str, Tag]: + """ + Validate and upsert all tags defined in the deployment spec and used by nodes. + """ + deployment_tag_specs = { + tag_spec.name: tag_spec for tag_spec in self.deployment_spec.tags + } + used_tag_names = { + tag for spec in self.deployment_spec.nodes for tag in spec.tags + } + all_tag_names = deployment_tag_specs.keys() | used_tag_names + existing_tags = { + tag.name: tag + for tag in ( + await Tag.find_tags(self.session, tag_names=list(all_tag_names)) + if all_tag_names + else [] + ) + } + + # Validate all used tags are defined, either in the deployment spec or already exist + undefined_tags = ( + used_tag_names + - set(deployment_tag_specs.keys()) + - set(existing_tags.keys()) + ) + if undefined_tags: + self.errors.append( + DJError( + code=ErrorCode.TAG_NOT_FOUND, + message=f"Tags used by nodes but not defined: {', '.join(undefined_tags)}", + ), + ) + + # Upsert tags + for tag_name, tag_spec in deployment_tag_specs.items(): + if tag_name in existing_tags: + tag = existing_tags[tag_name] + if tag_needs_update(tag, tag_spec): + tag.tag_type = tag_spec.tag_type + tag.description = tag_spec.description + tag.display_name = tag_spec.display_name or labelize(tag_name) + self.session.add(tag) + else: + tag = Tag( + name=tag_name, + tag_type=tag_spec.tag_type, + description=tag_spec.description, + display_name=tag_spec.display_name or labelize(tag_name), + created_by=self.context.current_user, + ) + self.session.add(tag) + existing_tags[tag_name] = tag + + await self.session.flush() # Get IDs but don't commit + return existing_tags + + async def _setup_owners(self): + """ + Validate that all owners defined in the deployment spec exist. + """ + usernames = [ + owner + for node_spec in self.deployment_spec.nodes + for owner in node_spec.owners + if node_spec.owners + ] + existing_users = await User.get_by_usernames( + self.session, + usernames, + raise_if_not_exists=False, + ) + existing_usernames = {user.username for user in existing_users} + missing_usernames = set(usernames) - existing_usernames + new_users = [] + if missing_usernames: + new_users = [ + User(username=username, oauth_provider=OAuthProvider.BASIC) + for username in missing_usernames + ] + self.session.add_all(new_users) + self.warnings.append( + DJWarning( + code=ErrorCode.USER_NOT_FOUND, + message=( + f"The following owners do not exist and will be created: " + f"{', '.join(missing_usernames)}" + ), + ), + ) + await self.session.flush() + return {user.username: user for user in existing_users + new_users} + + async def _setup_attributes(self) -> dict[str, AttributeType]: + """ + Validate and load all attributes defined in the deployment spec and used by nodes. + """ + return { + attr_name.value: cast( + AttributeType, + await get_attribute_type( + self.session, + name=attr_name.value, + ), + ) + for attr_name in ColumnAttributes + } + + async def _setup_catalogs(self) -> dict[str, Catalog]: + """ + Validate that all catalogs defined in the deployment spec exist. + """ + catalog_names = { + node_spec.catalog + for node_spec in self.deployment_spec.nodes + if node_spec.node_type == NodeType.SOURCE and node_spec.catalog + } + if not catalog_names: + return {} + existing_catalogs = await Catalog.get_by_names( + self.session, + list(catalog_names), + ) + existing_catalog_names = {catalog.name for catalog in existing_catalogs} + missing_catalogs = catalog_names - existing_catalog_names + if missing_catalogs: + self.errors.append( + DJError( + code=ErrorCode.CATALOG_NOT_FOUND, + message=( + f"The following catalogs do not exist: {', '.join(missing_catalogs)}" + ), + ), + ) + return {catalog.name: catalog for catalog in existing_catalogs} + + async def _create_deployment_plan(self) -> DeploymentPlan: + """Analyze existing nodes and create deployment plan""" + nodes_start = time.perf_counter() + + # Load existing nodes + all_nodes = await NodeNamespace.list_all_nodes( + self.session, + self.deployment_spec.namespace, + options=Node.cube_load_options(), + ) + self.registry.add_nodes({node.name: node for node in all_nodes}) + existing_specs = { + node.name: await node.to_spec(self.session) for node in all_nodes + } + + logger.info( + "Fetched %d existing nodes in %.3fs", + len(existing_specs), + time.perf_counter() - nodes_start, + ) + + # Determine what to deploy/skip/delete + to_deploy, to_skip, to_delete = self.filter_nodes_to_deploy(existing_specs) + + # Add skipped nodes to results + self.deployed_results.extend( + [ + DeploymentResult( + name=node_spec.rendered_name, + deploy_type=DeploymentResult.Type.NODE, + status=DeploymentResult.Status.SKIPPED, + operation=DeploymentResult.Operation.NOOP, + message=f"Node {node_spec.rendered_name} is unchanged.", + ) + for node_spec in to_skip + ], + ) + + # Build deployment graph if needed + node_graph = {} + external_deps = set() + if to_deploy or to_delete: + node_graph = extract_node_graph( + [node for node in to_deploy if not isinstance(node, CubeSpec)], + ) + external_deps = await self.check_external_deps(node_graph) + + return DeploymentPlan( + to_deploy=to_deploy, + to_skip=to_skip, + to_delete=to_delete, + existing_specs=existing_specs, + node_graph=node_graph, + external_deps=external_deps, + ) + + async def _execute_deployment_plan(self, plan: DeploymentPlan): + """Execute the actual deployment based on the plan""" + if plan.to_deploy: + deployed_results, deployed_nodes = await self._deploy_nodes(plan) + self.deployed_results.extend(deployed_results) + self.registry.add_nodes(deployed_nodes) + await self._update_deployment_status() + + deployed_links = await self._deploy_links(plan) + self.deployed_results.extend(deployed_links) + await self._update_deployment_status() + + deployed_cubes = await self._deploy_cubes(plan) + self.deployed_results.extend(deployed_cubes) + await self._update_deployment_status() + + if plan.to_delete: + delete_results = await self._delete_nodes(plan.to_delete) + self.deployed_results.extend(delete_results) + await self._update_deployment_status() + + async def _deploy_nodes( + self, + plan: DeploymentPlan, + ) -> tuple[list[DeploymentResult], dict[str, Node]]: + """Deploy nodes in the plan""" + + deployed_results, deployed_nodes = [], {} + + # Order nodes topologically based on dependencies + levels = topological_levels(plan.node_graph, ascending=False) + logger.info( + "Deploying nodes in topological order with %d levels", + len(levels), + ) + + # Deploy them level by level (excluding cubes which are handled separately) + name_to_node_specs = { + node_spec.rendered_name: node_spec + for node_spec in plan.to_deploy + if not isinstance(node_spec, CubeSpec) + } + for level in levels: + node_specs = [ + name_to_node_specs[node_name] + for node_name in level + if node_name in name_to_node_specs + and node_name not in plan.external_deps + ] + if node_specs: + level_results, nodes = await self.bulk_deploy_nodes_in_level( + node_specs, + plan.node_graph, + ) + deployed_results.extend(level_results) + deployed_nodes.update(nodes) + self.registry.add_nodes(nodes) + + logger.info("Finished deploying %d non-cube nodes", len(deployed_nodes)) + return deployed_results, deployed_nodes + + async def _deploy_links(self, plan: DeploymentPlan) -> list[DeploymentResult]: + """Deploy dimension links for nodes in the plan""" + deployed_links = [] + + # Load dimension nodes once + dimensions_map = { + node.name: node + for node in await Node.get_by_names( + self.session, + list(plan.linked_dimension_nodes), + ) + } + self.registry.add_nodes(dimensions_map) + + validation_results = await self.validate_dimension_links(plan) + + for node_spec in plan.to_deploy: + if not isinstance(node_spec, LinkableNodeSpec): + continue + existing_node_spec = cast( + LinkableNodeSpec, + plan.existing_specs.get(node_spec.rendered_name), + ) + existing_node_links = ( + existing_node_spec.links_mapping if existing_node_spec else {} + ) + desired_node_links = node_spec.links_mapping + + # Delete removed links + to_delete = { + existing_node_links[(dim, role)] + for (dim, role) in existing_node_links + if (dim, role) not in desired_node_links + } + self.deployed_results.extend( + await self._bulk_delete_links(to_delete, node_spec), + ) + + # Create or update links + for link_spec in node_spec.dimension_links or []: + link_result = await self._process_node_dimension_link( + node_spec=node_spec, + link_spec=link_spec, + validation_results=validation_results, + ) + deployed_links.append(link_result) + await self.session.commit() + logger.info("Finished deploying %d dimension links", len(deployed_links)) + return deployed_links + + async def _bulk_delete_links(self, to_delete, node_spec) -> list[DeploymentResult]: + """Bulk delete dimension links""" + link_ids_to_delete = [] + delete_results = [] + + for delete_link in to_delete: + node = self.registry.nodes.get(node_spec.rendered_name) + if not node: + continue # pragma: no cover + + # Delete the dimension link if one exists + for link in node.current.dimension_links: + link_name = f"{node.name} -> {delete_link.rendered_dimension_node}" + if ( # pragma: no cover + link.dimension.name == delete_link.rendered_dimension_node + and link.role == delete_link.role + ): + link_ids_to_delete.append(link.id) # type: ignore + delete_results.append( + DeploymentResult( + name=link_name, + deploy_type=DeploymentResult.Type.LINK, + status=DeploymentResult.Status.SUCCESS, + operation=DeploymentResult.Operation.DELETE, + ), + ) + + # Track history for link deletion + self.session.add( + History( + entity_type=EntityType.LINK, + entity_name=node.name, + node=node.name, + activity_type=ActivityType.DELETE, + details={ + "dimension_node": delete_link.rendered_dimension_node, + "role": delete_link.role, + "deployment_id": self.deployment_id, + }, + user=self.context.current_user.username, + ), + ) + + if link_ids_to_delete: + await self.session.execute( + DimensionLink.__table__.delete().where( + DimensionLink.id.in_(link_ids_to_delete), + ), + ) + await self.session.flush() + return delete_results + + async def _process_node_dimension_link( + self, + node_spec: NodeSpec, + link_spec: DimensionJoinLinkSpec | DimensionReferenceLinkSpec, + validation_results: dict[tuple[str, str, str | None], Exception | None], + ) -> DeploymentResult: + link_name = f"{node_spec.rendered_name} -> {link_spec.rendered_dimension_node}" + node = self.registry.nodes.get(node_spec.rendered_name) + dimension_node = self.registry.nodes.get(link_spec.rendered_dimension_node) + if not node: + return self._create_missing_node_link_result( + link_name, + node_spec.rendered_name, + ) + if not dimension_node: + return self._create_missing_node_link_result( # pragma: no cover + link_name, + link_spec.rendered_dimension_node, + ) + + result = validation_results.get( + (node.name, dimension_node.name, link_spec.role), + ) + if isinstance(result, Exception): + return DeploymentResult( + name=link_name, + deploy_type=DeploymentResult.Type.LINK, + status=DeploymentResult.Status.FAILED, + operation=DeploymentResult.Operation.CREATE, + message=( + f"Dimension link from {node.name} to" + f" {dimension_node.name} is invalid: {result}" + ), + ) + + return await self._create_or_update_dimension_link( + link_spec=link_spec, + new_revision=node.current, + dimension_node=dimension_node, + ) + + def _create_missing_node_link_result( + self, + link_name: str, + missing_name: str, + ) -> DeploymentResult: + message = f"A node with name `{missing_name}` does not exist." + return DeploymentResult( + name=link_name, + deploy_type=DeploymentResult.Type.LINK, + status=DeploymentResult.Status.FAILED, + operation=DeploymentResult.Operation.CREATE, + message=message, + ) + + async def _create_or_update_dimension_link( + self, + link_spec: DimensionJoinLinkSpec | DimensionReferenceLinkSpec, + new_revision: NodeRevision, + dimension_node: Node, + ) -> DeploymentResult: + activity_type = ActivityType.CREATE + if link_spec.type == LinkType.JOIN: + join_link = cast(DimensionJoinLinkSpec, link_spec) + link_input = JoinLinkInput( + dimension_node=join_link.rendered_dimension_node, + join_type=join_link.join_type, + join_on=join_link.rendered_join_on, + role=join_link.role, + ) + ( + dimension_link, + activity_type, + ) = await self.create_or_update_dimension_join_link( + node_revision=new_revision, + dimension_node=dimension_node, + link_input=link_input, + join_type=join_link.join_type, + ) + self.session.add(dimension_link) + self.session.add(new_revision) + else: + reference_link = cast(DimensionReferenceLinkSpec, link_spec) + target_column = [ + col + for col in new_revision.columns + if col.name == reference_link.node_column + ][0] + if target_column.dimension_id is not None: + activity_type = ActivityType.UPDATE # pragma: no cover + target_column.dimension_id = dimension_node.id # type: ignore + target_column.dimension_column = ( + f"{reference_link.dimension_attribute}[{reference_link.role}]" + if reference_link.role + else reference_link.dimension_attribute + ) + role_suffix = f"[{link_spec.role}]" if link_spec.role else "" + await self.session.flush() + + # Track history for dimension link create/update (skip REFRESH/NOOP) + if activity_type in (ActivityType.CREATE, ActivityType.UPDATE): + link_details = { + "dimension_node": dimension_node.name, + "link_type": link_spec.type, + "role": link_spec.role, + "deployment_id": self.deployment_id, + } + if link_spec.type == LinkType.JOIN: + join_link = cast(DimensionJoinLinkSpec, link_spec) + link_details["join_type"] = join_link.join_type + link_details["join_on"] = join_link.rendered_join_on + + self.session.add( + History( + entity_type=EntityType.LINK, + entity_name=new_revision.name, + node=new_revision.name, + activity_type=activity_type, + details=link_details, + user=self.context.current_user.username, + ), + ) + + return DeploymentResult( + name=f"{new_revision.name} -> {dimension_node.name}" + role_suffix, + deploy_type=DeploymentResult.Type.LINK, + status=DeploymentResult.Status.SUCCESS + if activity_type in (ActivityType.CREATE, ActivityType.UPDATE) + else DeploymentResult.Status.SKIPPED, + operation=( + DeploymentResult.Operation.CREATE + if activity_type == ActivityType.CREATE + else DeploymentResult.Operation.UPDATE + if activity_type == ActivityType.UPDATE + else DeploymentResult.Operation.NOOP + ), + message=(f"{link_spec.type.title()} link successfully deployed"), + ) + + async def _deploy_cubes(self, plan: DeploymentPlan) -> list[DeploymentResult]: + """Deploy cubes for nodes in the plan using bulk approach""" + cubes_to_deploy = [ + node for node in plan.to_deploy if isinstance(node, CubeSpec) + ] + + if not cubes_to_deploy: + return [] + + logger.info("Starting bulk deployment of %d cubes", len(cubes_to_deploy)) + start = time.perf_counter() + + # Bulk validate cubes + validation_results = await self._bulk_validate_cubes(cubes_to_deploy) + + # Bulk create cubes from validation results + nodes, revisions, deployment_results = await self._create_cubes_from_validation( + validation_results, + ) + + # Commit all cubes + self.session.add_all(nodes) + self.session.add_all(revisions) + await self.session.commit() + + # Refresh all deployed cube nodes + all_nodes = await self.refresh_nodes( + [cube.rendered_name for cube in cubes_to_deploy], + ) + self.registry.add_nodes(all_nodes) + + logger.info( + "Deployed %d cubes in %.3fs", + len(nodes), + time.perf_counter() - start, + ) + return deployment_results + + async def _bulk_validate_cubes( + self, + cube_specs: list[CubeSpec], + ) -> list[NodeValidationResult]: + """Bulk validate cube specifications efficiently with batched DB queries""" + if not cube_specs: + return [] # pragma: no cover + + # Collect all unique metrics and dimensions across all cubes + all_metric_names, all_dimension_names = self._collect_cube_dependencies( + cube_specs, + ) + + # Batch load all metrics and dimensions + metric_nodes_map, missing_metrics = await self._batch_load_metrics( + all_metric_names, + ) + dimension_mapping, missing_dimensions = await self._batch_load_dimensions( + all_dimension_names, + ) + + # Validate each cube using the batch-loaded data + validation_results = [] + for cube_spec in cube_specs: + validation_result = await self._validate_single_cube( + cube_spec, + metric_nodes_map, + missing_metrics, + missing_dimensions, + dimension_mapping, + ) + validation_results.append(validation_result) + return validation_results + + def _collect_cube_dependencies( + self, + cube_specs: list[CubeSpec], + ) -> tuple[set[str], set[str]]: + """Collect all unique metrics and dimensions across all cubes""" + all_metric_names = set() + all_dimension_names = set() + + for cube_spec in cube_specs: + all_metric_names.update(cube_spec.rendered_metrics or []) + all_dimension_names.update(cube_spec.rendered_dimensions or []) + + return all_metric_names, all_dimension_names + + async def _batch_load_metrics( + self, + all_metric_names: set[str], + ) -> tuple[dict[str, Node], set[str]]: + """Batch load all metrics""" + missing_metrics = set() + metric_nodes_map = {} + all_metric_nodes = await Node.get_by_names( + self.session, + list(all_metric_names), + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.columns), + joinedload(NodeRevision.catalog), + selectinload(NodeRevision.parents), + ), + ], + include_inactive=False, + ) + metric_nodes_map = {node.name: node for node in all_metric_nodes} + missing_metrics = set(all_metric_names) - { + metric.name for metric in all_metric_nodes + } + return metric_nodes_map, missing_metrics + + async def _batch_load_dimensions( + self, + all_dimension_names: set[str], + ) -> tuple[dict[str, Node], set[str]]: + """Batch load all dimension attributes""" + missing_dimensions = set() + dimension_mapping = {} + dimension_attributes: list[FullColumnName] = [ + FullColumnName(dimension_attribute) + for dimension_attribute in all_dimension_names + ] + dimension_node_names = [attr.node_name for attr in dimension_attributes] + dimension_nodes: dict[str, Node] = { + node.name: node + for node in await Node.get_by_names( + self.session, + dimension_node_names, + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.columns).options( + selectinload(Column.node_revision), + ), + defer(NodeRevision.query_ast), + ), + ], + ) + } + for attr in dimension_attributes: + if attr.node_name not in dimension_nodes: + missing_dimensions.add(attr.name) + continue + if not any( + col.name == attr.column_name + for col in dimension_nodes[attr.node_name].current.columns + ): + missing_dimensions.add(attr.name) + + dimension_mapping = { + attr.name: dimension_nodes[attr.node_name] + for attr in dimension_attributes + if attr.node_name in dimension_nodes + } + return dimension_mapping, missing_dimensions + + def _collect_cube_errors( + self, + cube_spec: CubeSpec, + missing_metrics: set[str], + missing_dimensions: set[str], + catalogs: list[Catalog], + ): + errors = [] + if missing_for_cube := set(cube_spec.rendered_metrics).intersection( + missing_metrics, + ): + errors.append( + DJError( + code=ErrorCode.INVALID_CUBE, + message=( + f"One or more metrics not found for cube " + f"{cube_spec.rendered_name}: {', '.join(missing_for_cube)}" + ), + ), + ) + if missing_for_cube := set(cube_spec.rendered_dimensions).intersection( + missing_dimensions, + ): + errors.append( + DJError( + code=ErrorCode.INVALID_CUBE, + message=( + f"One or more dimensions not found for cube " + f"{cube_spec.rendered_name}: {', '.join(missing_for_cube)}" + ), + ), + ) + + if len(set(catalogs)) > 1: + errors.append( # pragma: no cover + DJError( + code=ErrorCode.INVALID_CUBE, + message=( + f"Metrics for cube {cube_spec.rendered_name} belong to " + f"different catalogs: {', '.join(cat.name for cat in catalogs if cat)}" + ), + ), + ) + return errors + + async def _validate_single_cube( + self, + cube_spec: CubeSpec, + metric_nodes_map: dict[str, Node], + missing_metrics: set[str], + missing_dimensions: set[str], + dimension_mapping: dict[str, Node], + ) -> NodeValidationResult: + cube_metric_nodes = [ + metric_nodes_map[metric_name] + for metric_name in cube_spec.rendered_metrics or [] + if metric_name in metric_nodes_map + ] + + # Extract metric columns and catalogs + metric_columns = [node.current.columns[0] for node in cube_metric_nodes] + catalogs = [metric.current.catalog for metric in cube_metric_nodes] + catalog = catalogs[0] if catalogs else None + + # Collect errors for missing metrics/dimensions or catalog mismatches + errors = self._collect_cube_errors( + cube_spec, + missing_metrics, + missing_dimensions, + catalogs, + ) + if errors: + return NodeValidationResult( + spec=cube_spec, + status=NodeStatus.INVALID, + inferred_columns=[], + errors=errors, + dependencies=[], + ) + + # Get dimensions for this cube from batch-loaded data + cube_dimension_nodes = [] + cube_dimensions = [] + dimension_attributes = [ + dimension_attribute.rsplit(SEPARATOR, 1) + for dimension_attribute in (cube_spec.rendered_dimensions or []) + ] + for node_name, column_name in dimension_attributes: + full_key = f"{node_name}{SEPARATOR}{column_name}" + dimension_node = dimension_mapping[full_key] + if dimension_node not in cube_dimension_nodes: # pragma: no cover + cube_dimension_nodes.append(dimension_node) + + # Get the actual column + columns = {col.name: col for col in dimension_node.current.columns} + column_name_without_role = column_name + match = re.fullmatch(COLUMN_NAME_REGEX, column_name) + if match: # pragma: no cover + column_name_without_role = match.groups()[0] + + if column_name_without_role in columns: # pragma: no cover + cube_dimensions.append(columns[column_name_without_role]) + + return NodeValidationResult( + spec=cube_spec, + status=( # Check if all dependencies are valid + NodeStatus.VALID + if ( + all( + metric.current.status == NodeStatus.VALID + for metric in cube_metric_nodes + ) + and all( + dim.current.status == NodeStatus.VALID + for dim in cube_dimension_nodes + ) + ) + else NodeStatus.INVALID + ), + inferred_columns=cube_spec.rendered_columns, + errors=[], + dependencies=[], + _cube_validation_data=CubeValidationData( + metric_columns=metric_columns, + metric_nodes=cube_metric_nodes, + dimension_nodes=cube_dimension_nodes, + dimension_columns=cube_dimensions, + catalog=catalog, + ), + ) + + async def _create_cubes_from_validation( + self, + validation_results: list[NodeValidationResult], + ) -> tuple[list[Node], list[NodeRevision], list[DeploymentResult]]: + """Create cube nodes and revisions from validation results without re-validation""" + nodes, revisions = [], [] + deployment_results = [] + + for result in validation_results: + if result.status == NodeStatus.INVALID: + deployment_results.append(self._process_invalid_node_deploy(result)) + else: + cube_spec = cast(CubeSpec, result.spec) + existing = self.registry.nodes.get(cube_spec.rendered_name) + operation = ( + DeploymentResult.Operation.UPDATE + if existing + else DeploymentResult.Operation.CREATE + ) + + # Get pre-computed validation data to avoid re-validation + if not result._cube_validation_data: + raise DJInvalidDeploymentConfig( # pragma: no cover + f"Missing validation data for cube {cube_spec.rendered_name}", + ) + changelog = await self._generate_changelog(result) + if existing: + logger.info("Updating cube node %s", cube_spec.rendered_name) + new_node = existing + new_node.current_version = str( + Version.parse(new_node.current_version).next_major_version(), + ) + new_node.display_name = cube_spec.display_name + new_node.owners = [ + self.registry.owners[owner_name] + for owner_name in cube_spec.owners + if owner_name in self.registry.owners + ] + new_node.tags = [ + self.registry.tags[tag_name] for tag_name in cube_spec.tags + ] + else: + logger.info("Creating cube node %s", cube_spec.rendered_name) + namespace = get_namespace_from_name(cube_spec.rendered_name) + await get_node_namespace(session=self.session, namespace=namespace) + + new_node = Node( + name=cube_spec.rendered_name, + namespace=namespace, + type=NodeType.CUBE, + display_name=cube_spec.display_name, + current_version=( + str(DEFAULT_DRAFT_VERSION) + if cube_spec.mode == NodeMode.DRAFT + else str(DEFAULT_PUBLISHED_VERSION) + ), + tags=[ + self.registry.tags[tag_name] for tag_name in cube_spec.tags + ], + created_by_id=self.context.current_user.id, + owners=[ + self.registry.owners[owner_name] + for owner_name in cube_spec.owners + if owner_name in self.registry.owners + ], + ) + + # Create node revision using pre-computed validation data (no re-validation) + new_revision = ( + await self._create_cube_node_revision_from_validation_data( + cube_spec=cube_spec, + validation_data=result._cube_validation_data, + new_node=new_node, + ) + ) + + # Track history for cube create/update operations + activity_type = ActivityType.UPDATE if existing else ActivityType.CREATE + self.session.add( + History( + entity_type=EntityType.NODE, + entity_name=cube_spec.rendered_name, + node=cube_spec.rendered_name, + activity_type=activity_type, + details={ + "version": new_node.current_version, + "deployment_id": self.deployment_id, + "metrics": cube_spec.rendered_metrics, + "dimensions": cube_spec.rendered_dimensions, + }, + user=self.context.current_user.username, + ), + ) + + # Create deployment result + deployment_result = DeploymentResult( + name=cube_spec.rendered_name, + deploy_type=DeploymentResult.Type.NODE, + status=DeploymentResult.Status.SUCCESS, + operation=operation, + message=f"{operation.value.title()}d {new_node.type} ({new_node.current_version})" + + ("\n".join([""] + changelog)), + ) + + deployment_results.append(deployment_result) + nodes.append(new_node) + revisions.append(new_revision) + + return nodes, revisions, deployment_results + + async def _create_cube_node_revision_from_validation_data( + self, + cube_spec: CubeSpec, + validation_data: CubeValidationData, + new_node: Node, + ) -> NodeRevision: + """Create cube node revision using pre-computed validation data""" + # Build the "columns" for this node based on the cube elements + node_columns = [] + + dimension_to_roles_mapping = map_dimensions_to_roles( + cube_spec.rendered_dimensions or [], + ) + + for idx, col in enumerate( + validation_data.metric_columns + validation_data.dimension_columns, + ): + await self.session.refresh(col, ["node_revision"]) + referenced_node = col.node_revision + full_element_name = ( + referenced_node.name # type: ignore + if referenced_node.type == NodeType.METRIC # type: ignore + else f"{referenced_node.name}.{col.name}" # type: ignore + ) + node_column = Column( + name=full_element_name, + display_name=referenced_node.display_name + if referenced_node.type == NodeType.METRIC + else col.display_name, + type=col.type, + attributes=[ + ColumnAttribute(attribute_type_id=attr.attribute_type_id) + for attr in col.attributes + ], + order=idx, + ) + if full_element_name in dimension_to_roles_mapping: + node_column.dimension_column = dimension_to_roles_mapping[ + full_element_name + ] + node_columns.append(node_column) + + node_revision = NodeRevision( + name=cube_spec.rendered_name, + display_name=cube_spec.display_name + or labelize(cube_spec.rendered_name.split(SEPARATOR)[-1]), + description=cube_spec.description, + type=NodeType.CUBE, + query="", + columns=node_columns, + cube_elements=validation_data.metric_columns + + validation_data.dimension_columns, + parents=list( + set(validation_data.dimension_nodes + validation_data.metric_nodes), + ), + status=NodeStatus.VALID, # Already validated + catalog=validation_data.catalog, + created_by_id=self.context.current_user.id, + node=new_node, + version=new_node.current_version, + mode=cube_spec.mode, + ) + return node_revision + + async def _delete_nodes(self, to_delete: list[NodeSpec]) -> list[DeploymentResult]: + logger.info("Starting deletion of %d nodes", len(to_delete)) + return [ + await self._deploy_delete_node(node_spec.rendered_name) + for node_spec in to_delete + ] + + async def _deploy_delete_node(self, name: str) -> DeploymentResult: + async def add_history(event, session): + """Add history to session without committing""" + session.add(event) + + try: + await hard_delete_node( + name=name, + session=self.session, + current_user=self.context.current_user, + save_history=add_history, + ) + return DeploymentResult( + name=name, + deploy_type=DeploymentResult.Type.NODE, + status=DeploymentResult.Status.SUCCESS, + operation=DeploymentResult.Operation.DELETE, + message=f"Node {name} has been removed.", + ) + except Exception as exc: + logger.exception(exc) + return DeploymentResult( + name=name, + deploy_type=DeploymentResult.Type.NODE, + status=DeploymentResult.Status.FAILED, + operation=DeploymentResult.Operation.DELETE, + message=str(exc), + ) + + def filter_nodes_to_deploy( + self, + existing_nodes_map: dict[str, NodeSpec], + ): + filter_nodes_start = time.perf_counter() + + to_create: list[NodeSpec] = [] + to_update: list[NodeSpec] = [] + to_skip: list[NodeSpec] = [] + for node_spec in self.deployment_spec.nodes: + existing_spec = existing_nodes_map.get(node_spec.rendered_name) + if not existing_spec: + to_create.append(node_spec) + elif node_spec != existing_spec: + to_update.append(node_spec) + else: + to_skip.append(node_spec) + + desired_node_names = {n.rendered_name for n in self.deployment_spec.nodes} + to_delete = [ + existing + for name, existing in existing_nodes_map.items() + if name not in desired_node_names + ] + + logger.info("Creating %d new nodes", len(to_create)) + logger.info("Updating %d existing nodes", len(to_update)) + logger.info("Skipping %d nodes as they are unchanged", len(to_skip)) + logger.info("Deleting %d nodes: %s", len(to_delete), to_delete) + logger.info( + "Filtered nodes to deploy in %.3fs", + time.perf_counter() - filter_nodes_start, + ) + return to_create + to_update, to_skip, to_delete + + async def check_external_deps( + self, + node_graph: dict[str, list[str]], + ) -> set[str]: + """ + Find any dependencies that are not in the deployment but are already in the system. + If any dependencies are not in the deployment and not in the system, raise an error. + """ + dimension_link_deps = [ + link.rendered_dimension_node + for node in self.deployment_spec.nodes + if isinstance(node, LinkableNodeSpec) and node.dimension_links + for link in node.dimension_links + ] + + deps_not_in_deployment = { + dep + for deps in list(node_graph.values()) + for dep in deps + if dep not in node_graph + }.union({dep for dep in dimension_link_deps if dep not in node_graph}) + if deps_not_in_deployment: + logger.warning( + "The following dependencies are not defined in the deployment: %s. " + "They must pre-exist in the system before this deployment can succeed.", + deps_not_in_deployment, + ) + external_node_deps = await Node.get_by_names( + self.session, + list(deps_not_in_deployment), + ) + found_dep_names = {node.name for node in external_node_deps} + missing_nodes = [] + for dep in deps_not_in_deployment: + if dep in found_dep_names: + continue + # Check if this is a dimension.column reference (parent was found) + parent = dep.rsplit(SEPARATOR, 1)[0] + if SEPARATOR in parent and parent in found_dep_names: + continue + + # Check if this is a namespace prefix (some found node starts with dep.) + # This happens when rsplit of a metric gives its namespace + if dep == self.deployment_spec.namespace or any( + name.startswith(dep + SEPARATOR) for name in found_dep_names + ): + continue # pragma: no cover + missing_nodes.append(dep) + + if missing_nodes: + raise DJInvalidDeploymentConfig( + message=( + "The following dependencies are not in the deployment and do not" + " pre-exist in the system: " + ", ".join(sorted(missing_nodes)) + ), + ) + logger.info( + "All %d external dependencies pre-exist in the system", + len(external_node_deps), + ) + return deps_not_in_deployment + + async def validate_dimension_links(self, plan: DeploymentPlan): + """ + Validate all dimension links for nodes in the deployment plan. + Returns: + - Dictionary mapping (node_name, dimension_node_name, role) -> join result + """ + start_validation = time.perf_counter() + validation_data = [] + validation_tasks: list[Coroutine] = [] + logger.info("Validating %d dimension links", len(validation_tasks)) + + for node_spec in plan.to_deploy: + if hasattr(node_spec, "dimension_links") and node_spec.dimension_links: + for link in node_spec.dimension_links: + validation_data.append( + { + "node_name": node_spec.rendered_name, + "dimension_node_name": link.rendered_dimension_node, + "role": link.role, + }, + ) + validation_tasks.append( + self.validate_dimension_link(node_spec.rendered_name, link), + ) + + results = await asyncio.gather(*validation_tasks, return_exceptions=True) + link_mapping = { + ( + validation_data[idx]["node_name"], + validation_data[idx]["dimension_node_name"], + validation_data[idx]["role"], + ): result + for idx, result in enumerate(results) + } + logger.info( + "Finished validating %d dimension links in %.3fs", + len(link_mapping), + time.perf_counter() - start_validation, + ) + return link_mapping + + async def bulk_deploy_nodes_in_level( + self, + node_specs: list[NodeSpec], + node_graph: dict[str, list[str]], + ) -> tuple[list[DeploymentResult], dict[str, Node]]: + """ + Bulk deploy a list of nodes in a single transaction. + For these nodes, we know that: + 1. They do not have any dependencies on each other + 2. They are either new or have changes compared to existing nodes + """ + start = time.perf_counter() + logger.info("Starting bulk deployment of %d nodes", len(node_specs)) + + dependency_nodes = await self.get_dependencies(node_graph) + + # Validate all node queries to determine columns, types, and dependencies + validation_results = await bulk_validate_node_data( + node_specs, + node_graph, + self.session, + dependency_nodes, + ) + + # Process validation results and create nodes + nodes, revisions, deployment_results = await self.create_nodes_from_validation( + validation_results, + dependency_nodes, + node_graph, + ) + # Check for duplicates + node_keys = [(n.name, n.namespace) for n in nodes] + if len(node_keys) != len(set(node_keys)): + duplicates = [ # pragma: no cover + k[0] for k, v in Counter(node_keys).items() if v > 1 + ] + raise DJInvalidDeploymentConfig( # pragma: no cover + message=f"Duplicate nodes in deployment spec: {', '.join(duplicates)}", + ) + self.session.add_all(nodes) + self.session.add_all(revisions) + await self.session.commit() + + # Refresh nodes for latest state + all_nodes = await self.refresh_nodes( + [node.rendered_name for node in node_specs], + ) + + logger.info( + f"Deployed {len(nodes)} nodes in bulk in {time.perf_counter() - start:.2f}s", + ) + return deployment_results, all_nodes + + async def get_dependencies( + self, + node_graph: dict[str, list[str]], + ) -> dict[str, Node]: + all_required_nodes = node_graph.keys() | { + dep for deps in node_graph.values() for dep in deps + } + dependency_nodes = { + node.name: node + for node in await Node.get_by_names(self.session, list(all_required_nodes)) + } + for _, dep_node in dependency_nodes.items(): + if dep_node.current and dep_node.current.columns: # pragma: no cover + for column in dep_node.current.columns: + if isinstance(column.type, str): + try: + from datajunction_server.sql.parsing.backends.antlr4 import ( + parse_rule, + ) + + column.type = parse_rule(column.type, "dataType") + except Exception: # pragma: no cover + pass # pragma: no cover + return dependency_nodes + + async def refresh_nodes(self, node_names: list[str]) -> dict[str, Node]: + refresh_start = time.perf_counter() + all_nodes = { + node.name: node + for node in await Node.get_by_names(self.session, node_names) + } + for node in all_nodes.values(): + await self.session.refresh(node, ["current"]) + logger.info( + "Refreshed %d nodes in %.2fs", + len(all_nodes), + time.perf_counter() - refresh_start, + ) + return all_nodes + + async def create_nodes_from_validation( + self, + validation_results: list[NodeValidationResult], + dependency_nodes: dict[str, Node], + node_graph: dict[str, list[str]], + ) -> tuple[list[Node], list[NodeRevision], list[DeploymentResult]]: + nodes, revisions = [], [] + deployment_results = [] + for result in validation_results: + if result.status == NodeStatus.INVALID: + deployment_results.append(self._process_invalid_node_deploy(result)) + else: + ( + deployment_result, + new_node, + new_revision, + ) = await self._process_valid_node_deploy( + result, + dependency_nodes, + node_graph, + ) + deployment_results.append(deployment_result) + nodes.append(new_node) + revisions.append(new_revision) + return nodes, revisions, deployment_results + + def _process_invalid_node_deploy( + self, + result: NodeValidationResult, + ) -> DeploymentResult: + """Create deployment result for failed validation""" + logger.error( + f"Node {result.spec.rendered_name} failed: {result.errors}", + ) + existing = self.registry.nodes.get(result.spec.rendered_name) + operation = ( + DeploymentResult.Operation.UPDATE + if existing + else DeploymentResult.Operation.CREATE + ) + + return DeploymentResult( + name=result.spec.rendered_name, + deploy_type=DeploymentResult.Type.NODE, + status=DeploymentResult.Status.FAILED, + operation=operation, + message="; ".join(error.message for error in result.errors), + ) + + async def _process_valid_node_deploy( + self, + result: NodeValidationResult, + dependency_nodes: dict[str, Node], + node_graph: dict[str, list[str]], + ) -> tuple[DeploymentResult, Node, NodeRevision]: + existing = self.registry.nodes.get(result.spec.rendered_name) # is not None + operation = ( + DeploymentResult.Operation.UPDATE + if existing + else DeploymentResult.Operation.CREATE + ) + changelog = await self._generate_changelog(result) + new_node = self._create_or_update_node(result.spec, existing) + new_revision = await self._create_node_revision( + new_node, + result, + dependency_nodes, + node_graph, + ) + self.session.add(new_node) + self.session.add(new_revision) + await self.session.flush() + + # Track history for create/update operations + activity_type = ActivityType.UPDATE if existing else ActivityType.CREATE + self.session.add( + History( + entity_type=EntityType.NODE, + entity_name=result.spec.rendered_name, + node=result.spec.rendered_name, + activity_type=activity_type, + details={ + "version": new_node.current_version, + "deployment_id": self.deployment_id, + }, + user=self.context.current_user.username, + ), + ) + + deployment_result = DeploymentResult( + name=result.spec.rendered_name, + deploy_type=DeploymentResult.Type.NODE, + status=DeploymentResult.Status.SUCCESS, + operation=operation, + message=f"{operation.value.title()}d {new_node.type} ({new_node.current_version})" + + ("\n".join([""] + changelog)), + ) + return deployment_result, new_node, new_revision + + async def _generate_changelog(self, result: NodeValidationResult) -> list[str]: + """Generate changelog entries for a node update""" + changelog: list[str] = [] + + # No changes if the node is new + existing = self.registry.nodes.get(result.spec.rendered_name) + if not existing: + return changelog + + # Track changes to node columns + old_revision = existing.current if existing else None + existing_columns_map = { + col.name: col for col in (old_revision.columns if old_revision else []) + } + changed_count = [ + column_changed(new_col, existing_columns_map.get(new_col.name)) + for new_col in result.inferred_columns + ] + if sum(changed_count) > 0: + changelog.append( + f"└─ Set properties for {sum(changed_count)} columns", + ) + + # Track changes to other node fields + existing_node_spec = await existing.to_spec(self.session) + changed_fields = existing_node_spec.diff(result.spec) if existing else [] + changelog.append( + ("└─ Updated " + ", ".join(changed_fields)), + ) if changed_fields else "" + return changelog + + def _create_or_update_node( + self, + node_spec: NodeSpec, + existing: Node | None, + ) -> Node: + """Create or update a Node object based on the spec and existing node""" + new_node = ( + Node( + name=node_spec.rendered_name, + type=node_spec.node_type, + display_name=node_spec.display_name, + namespace=".".join(node_spec.rendered_name.split(".")[:-1]), + current_version=( + str(DEFAULT_DRAFT_VERSION) + if node_spec.mode == NodeMode.DRAFT + else str(DEFAULT_PUBLISHED_VERSION) + ), + tags=[self.registry.tags[tag_name] for tag_name in node_spec.tags], + created_by_id=self.context.current_user.id, + owners=[ + self.registry.owners[owner_name] + for owner_name in node_spec.owners + if owner_name in self.registry.owners + ], + ) + if not existing + else existing + ) + if existing: + new_node.current_version = str( + Version.parse(new_node.current_version).next_major_version(), + ) + new_node.display_name = node_spec.display_name + new_node.owners = [ + self.registry.owners[owner_name] + for owner_name in node_spec.owners + if owner_name in self.registry.owners + ] + if set(node_spec.tags) != set([tag.name for tag in new_node.tags]): + tags = [self.registry.tags.get(tag) for tag in node_spec.tags] + new_node.tags = tags # type: ignore + return new_node + + async def _create_node_revision( + self, + new_node: Node, + result: NodeValidationResult, + dependency_nodes: dict[str, Node], + node_graph: dict[str, list[str]], + ): + """Create node revision with inferred columns and dependencies""" + existing = self.registry.nodes.get(result.spec.rendered_name) + old_node_revision = existing.current if existing else None + parents = [ + dependency_nodes.get(parent) + for parent in node_graph.get(result.spec.rendered_name, []) + if parent in dependency_nodes + ] + if result.spec.node_type != NodeType.SOURCE: + if parents: + catalog = parents[0].current.catalog # type: ignore + else: + # Fall back to virtual catalog for nodes with no parents + # (e.g., hardcoded dimensions) + catalog = await Catalog.get_virtual_catalog( # pragma: no cover + self.session, + ) + else: + catalog = self.registry.catalogs.get(result.spec.catalog) + + new_revision = NodeRevision( + name=result.spec.rendered_name, + display_name=result.spec.display_name, + type=result.spec.node_type, + description=result.spec.description, + mode=result.spec.mode, + version=new_node.current_version, + node=new_node, + catalog=catalog, + status=result.status, + parents=[ + dependency_nodes.get(parent) + for parent in node_graph.get(result.spec.rendered_name, []) + if parent in dependency_nodes + ], + created_by_id=self.context.current_user.id, + custom_metadata=result.spec.custom_metadata, + ) + new_revision.version = new_node.current_version + + if isinstance(result.spec, LinkableNodeSpec) and old_node_revision: + for link in old_node_revision.dimension_links: + new_revision.dimension_links.append( + DimensionLink( + node_revision=new_revision, + dimension_id=link.dimension_id, + join_sql=link.join_sql, + join_type=link.join_type, + join_cardinality=link.join_cardinality, + materialization_conf=link.materialization_conf, + role=link.role, + ), + ) + pk_columns = ( + result.spec.primary_key if isinstance(result.spec, LinkableNodeSpec) else [] + ) + + if result.spec.node_type in ( + NodeType.TRANSFORM, + NodeType.DIMENSION, + NodeType.METRIC, + ): + new_revision.query = result.spec.rendered_query + new_revision.columns = [ + self._create_column_from_spec(col, pk_columns) + for col in result.inferred_columns + ] + + if result.spec.node_type == NodeType.SOURCE: + source_spec = cast(SourceSpec, result.spec) + catalog, schema, table = ( + source_spec.catalog, + source_spec.schema_, + source_spec.table, + ) + new_revision.schema_ = schema + new_revision.table = table + new_revision.columns = [ + self._create_column_from_spec(col, pk_columns) + for col in result.spec.columns + ] + + if result.spec.node_type == NodeType.METRIC: + metric_spec = cast(MetricSpec, result.spec) + new_revision.columns[0].display_name = new_revision.display_name + if ( + metric_spec.unit_enum + or metric_spec.direction + or metric_spec.significant_digits + or metric_spec.max_decimal_exponent + or metric_spec.min_decimal_exponent + ): + new_revision.metric_metadata = MetricMetadata( + unit=metric_spec.unit_enum, + direction=metric_spec.direction, + significant_digits=metric_spec.significant_digits, + max_decimal_exponent=metric_spec.max_decimal_exponent, + min_decimal_exponent=metric_spec.min_decimal_exponent, + ) + + # Assign required dimensions if specified and present in columns + if metric_spec.required_dimensions: + required_dimensions = [] + origin_node = new_revision.parents[0].current + columns_mapping = {col.name: col for col in origin_node.columns} + for dim in metric_spec.required_dimensions: + if dim in columns_mapping: + required_dimensions.append( + columns_mapping[dim], + ) # pragma: no cover + new_revision.required_dimensions = required_dimensions + return new_revision + + def _create_column_from_spec( + self, + col: ColumnSpec, + pk_columns: list[str], + ) -> Column: + return Column( + name=col.name, + type=col.type, + display_name=col.display_name, + description=col.description, + attributes=[ + ColumnAttribute( + attribute_type=self.registry.attributes.get(attr), + ) + for attr in set( + list( + col.attributes + + (["primary_key"] if col.name in pk_columns else []), + ), + ) + if attr in self.registry.attributes + ], + partition=Partition( + type_=col.partition.type, + format=col.partition.format, + granularity=col.partition.granularity, + ) + if col.partition + else None, + ) + + async def create_or_update_dimension_join_link( + self, + node_revision: NodeRevision, + dimension_node: Node, + link_input: JoinLinkInput, + join_type: JoinType, + ) -> tuple[DimensionLink, ActivityType]: + """ + Create or update a dimension link on a node revision. + """ + # Find an existing dimension link if there is already one defined for this node + existing_link = [ + link # type: ignore + for link in node_revision.dimension_links # type: ignore + if link.dimension.name == dimension_node.name + and link.role == link_input.role # type: ignore + ] + activity_type = ActivityType.CREATE + + if existing_link: + if len(existing_link) >= 1: # pragma: no cover + for dup_link in existing_link[1:]: + await self.session.delete(dup_link) + # Update the existing dimension link + activity_type = ActivityType.UPDATE + dimension_link = existing_link[0] + if ( + dimension_link.join_sql == link_input.join_on + and dimension_link.join_type == join_type + and dimension_link.join_cardinality == link_input.join_cardinality + ): + return dimension_link, ActivityType.REFRESH + dimension_link.join_sql = link_input.join_on + dimension_link.join_type = join_type + dimension_link.join_cardinality = link_input.join_cardinality + else: + # If there is no existing link, create new dimension link object + dimension_link = DimensionLink( + node_revision_id=node_revision.id, # type: ignore + dimension_id=dimension_node.id, # type: ignore + join_sql=link_input.join_on, + join_type=join_type, + join_cardinality=link_input.join_cardinality, + role=link_input.role, + ) + node_revision.dimension_links.append(dimension_link) # type: ignore + return dimension_link, activity_type + + async def validate_dimension_link( + self, + node_name: str, + link: DimensionJoinLinkSpec | DimensionReferenceLinkSpec, + ): + """Validate a single dimension link specification""" + dimension_node_name = link.rendered_dimension_node + if node_name not in self.registry.nodes: + raise DJInvalidInputException( + message=f"Node {node_name} does not exist for linking.", + ) + if dimension_node_name not in self.registry.nodes: + raise DJInvalidInputException( # pragma: no cover + message=( + f"Dimension node {dimension_node_name} does not" + f" exist for linking to {node_name}" + ), + ) + if link.type == LinkType.JOIN: + await validate_complex_dimension_link( + self.session, + self.registry.nodes.get(node_name), # type: ignore + self.registry.nodes.get(dimension_node_name), # type: ignore + JoinLinkInput( + dimension_node=dimension_node_name, + join_type=link.join_type, + join_on=link.rendered_join_on, + role=link.role, + ), + self.registry.nodes, + ) + elif link.type == LinkType.REFERENCE: # pragma: no cover + await validate_reference_dimension_link( + link, + self.registry.nodes.get(node_name), # type: ignore + self.registry.nodes.get(dimension_node_name), # type: ignore + ) + + +def tag_needs_update(existing_tag: Tag, tag_spec: TagSpec) -> bool: + """Check if tag actually needs updating""" + return ( + existing_tag.tag_type != tag_spec.tag_type + or existing_tag.description != tag_spec.description + or existing_tag.display_name + != (tag_spec.display_name or labelize(tag_spec.name)) + ) + + +async def validate_reference_dimension_link( + link: DimensionReferenceLinkSpec, + node: Node, + dim_node: Node, +) -> None: + """ + Placeholder for validating reference dimension links + """ + if not any( + col.name == link.dimension_attribute for col in dim_node.current.columns + ): + raise DJInvalidInputException( + message=( + f"Dimension attribute '{link.dimension_attribute}' not found in" + f" dimension node '{link.rendered_dimension_node}' for link in node" + f" '{node.name}'." + ), + ) + + +def column_changed(desired_col: ColumnSpec, col: Column | None) -> bool: + if col is None: + return False + if ( + col.display_name != desired_col.display_name + and desired_col.display_name is not None + ): + return True + if col.description != desired_col.description: + return True + if (desired_col.partition or col.partition) and desired_col.partition != ( + col.partition.to_spec() if col.partition else None + ): + return True + if (set(desired_col.attributes) - {"primary_key"}) != ( + set(col.attribute_names()) - {"primary_key"} + ): + return True + return False diff --git a/datajunction-server/datajunction_server/internal/deployment/utils.py b/datajunction-server/datajunction_server/internal/deployment/utils.py new file mode 100644 index 000000000..e63a01a61 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/deployment/utils.py @@ -0,0 +1,136 @@ +from fastapi import Request, BackgroundTasks + +from collections import defaultdict +from concurrent.futures import ThreadPoolExecutor, as_completed +from dataclasses import dataclass +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.database.user import User +from datajunction_server.models.deployment import ( + NodeSpec, + CubeSpec, + DimensionSpec, + MetricSpec, + TransformSpec, +) +from datajunction_server.utils import SEPARATOR +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.errors import DJGraphCycleException +import logging + +logger = logging.getLogger(__name__) + + +def extract_node_graph(nodes: list[NodeSpec]) -> dict[str, list[str]]: + """ + Extract the node graph from a list of nodes + """ + logger.info("Extracting node graph for %d nodes", len(nodes)) + dependencies_map: dict[str, list[str]] = {} + with ThreadPoolExecutor() as executor: + futures = [executor.submit(_find_upstreams_for_node, node) for node in nodes] + for future in as_completed(futures): + name, deps = future.result() + dependencies_map[name] = deps + + logger.info("Extracted node graph with %d entries", len(dependencies_map)) + return dependencies_map + + +def _find_upstreams_for_node(node: NodeSpec) -> tuple[str, list[str]]: + """ + Find the upstream dependencies for a given node. + """ + if ( + isinstance(node, (TransformSpec, DimensionSpec, MetricSpec)) + and node.rendered_query + ): + query_ast = parse(node.rendered_query) + cte_names = [cte.alias_or_name.identifier() for cte in query_ast.ctes] + tables = { + t.name.identifier() + for t in query_ast.find_all(ast.Table) + if t.name.identifier() not in cte_names + } + + # For derived metrics (no FROM clause), look for metric references + # in Column nodes. E.g., SELECT default.metric_a / default.metric_b + if ( + isinstance(node, MetricSpec) + and not tables + and query_ast.select.from_ is None + ): + for col in query_ast.find_all(ast.Column): + col_identifier = col.identifier() + if SEPARATOR in col_identifier: # pragma: no branch + # Add full identifier (might be a metric node) + tables.add(col_identifier) + # Also add parent path (might be dimension.column) + parent_path = col_identifier.rsplit(SEPARATOR, 1)[0] + if SEPARATOR in parent_path: # Only if there's still a namespace + tables.add(parent_path) + + return node.rendered_name, sorted(list(tables)) + if isinstance(node, CubeSpec): + dimension_nodes = [dim.rsplit(".", 1)[0] for dim in node.rendered_dimensions] + return node.rendered_name, node.rendered_metrics + dimension_nodes + return node.rendered_name, [] + + +def topological_levels( + graph: dict[str, list[str]], + ascending: bool = True, +) -> list[list[str]]: + """ + Perform a topological sort on a directed acyclic graph (DAG) and + return the nodes based on their levels. + + Args: + graph (dict): A dictionary representing the DAG where keys are node names + and values are lists of upstream node names. + + Returns: + list: A list of node names sorted in topological order. + + Raises: + ValueError: If the graph contains a cycle. + """ + # If there are any external dependencies, add them to the adjacency list + for deps in list(graph.values()): + for dep in deps: + if dep not in graph: + graph[dep] = [] + + in_degree = defaultdict(int) + for node in graph: + in_degree[node] = 0 + for deps in graph.values(): + for dep in deps: + in_degree[dep] += 1 + + levels = [] + current = [n for n, d in in_degree.items() if d == 0] + while current: + levels.append(sorted(current)) + next_level = [] + for node in current: + for dep in graph.get(node, []): + in_degree[dep] -= 1 + if in_degree[dep] == 0: + next_level.append(dep) + current = next_level + + if sum(in_degree.values()) != 0: + raise DJGraphCycleException("The graph contains a cycle!") + + return levels if ascending else levels[::-1] + + +@dataclass +class DeploymentContext: + current_user: User + request: Request + query_service_client: QueryServiceClient + background_tasks: BackgroundTasks + cache: Cache diff --git a/datajunction-server/datajunction_server/internal/deployment/validation.py b/datajunction-server/datajunction_server/internal/deployment/validation.py new file mode 100644 index 000000000..71cb932e9 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/deployment/validation.py @@ -0,0 +1,350 @@ +""" +Validation logic for node specifications during deployment +""" + +import logging +from dataclasses import dataclass +import time +from typing import Dict, List, Optional +import asyncio +from concurrent.futures import ThreadPoolExecutor + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.internal.validation import validate_metric_query +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.models.node import NodeStatus, NodeType +from datajunction_server.models.deployment import ( + LinkableNodeSpec, + NodeSpec, + ColumnSpec, + SourceSpec, +) +from datajunction_server.errors import ( + DJError, + ErrorCode, + DJException, +) +from datajunction_server.sql.parsing.backends.antlr4 import parse, ast + +logger = logging.getLogger(__name__) + + +@dataclass +class ValidationContext: + """Shared context for validation operations""" + + session: AsyncSession + node_graph: Dict[str, List[str]] + dependency_nodes: Dict[str, Node] + compile_context: ast.CompileContext + + +@dataclass +class CubeValidationData: + """Stores validation results for a cube to avoid re-validation""" + + metric_columns: list + metric_nodes: list + dimension_nodes: list + dimension_columns: list + catalog: Optional[object] + + +@dataclass +class NodeValidationResult: + """Immutable validation result for a single node""" + + spec: NodeSpec # Original unchanged spec + status: NodeStatus + inferred_columns: list[ColumnSpec] + errors: list[DJError] + dependencies: list[str] + + # Internal use only + _cube_validation_data: Optional[CubeValidationData] = None + + +class NodeSpecBulkValidator: + """Handles validation of node specifications""" + + def __init__(self, context: ValidationContext): + self.context = context + + async def validate(self, node_specs: list[NodeSpec]) -> List[NodeValidationResult]: + """ + Validate a list of node specifications + """ + parsed_results = await self.parse_queries(node_specs) + validation_tasks = [ + self.process_validation(spec, parsed_result) + for spec, parsed_result in zip(node_specs, parsed_results) + ] + return await asyncio.gather(*validation_tasks) + + async def validate_source_node(self, spec: SourceSpec) -> NodeValidationResult: + """Handle source node validation - no query parsing needed""" + return NodeValidationResult( + spec=spec, + status=NodeStatus.VALID, + inferred_columns=spec.columns or [], + errors=[], + dependencies=[], + ) + + async def validate_query_node( + self, + spec: NodeSpec, + parsed_ast: ast.Query, + ) -> NodeValidationResult: + """ + Validate nodes with queries (transform, dimension, metric) + """ + try: + await parsed_ast.bake_ctes().extract_dependencies( + self.context.compile_context, + ) + parsed_ast.select.add_aliases_to_unnamed_columns() + + inferred_columns = self._infer_columns(spec, parsed_ast) + errors = [ + err + for err in [ + self._check_inferred_columns(inferred_columns), + self._check_primary_key(inferred_columns, spec), + self._check_metric_query(spec, parsed_ast), + ] + if err is not None + ] + return NodeValidationResult( + spec=spec, + status=NodeStatus.VALID if not errors else NodeStatus.INVALID, + inferred_columns=inferred_columns, + errors=errors, + dependencies=self.context.node_graph.get(spec.rendered_name, []), + ) + except Exception as exc: + return self._create_error_result(spec, exc) + + def _check_inferred_columns(self, columns: List[ColumnSpec]) -> DJError | None: + """Check that inferred columns are not empty""" + if not columns: + return DJError( # pragma: no cover + code=ErrorCode.INVALID_SQL_QUERY, + message="No columns could be inferred from the SQL query.", + ) + return None + + def _check_primary_key( + self, + inferred_columns: List[ColumnSpec], + spec: LinkableNodeSpec, + ) -> DJError | None: + columns_map = {col.name: col for col in inferred_columns} + if isinstance(spec, LinkableNodeSpec) and not all( + key_col in columns_map for key_col in spec.primary_key + ): + return DJError( + code=ErrorCode.INVALID_SQL_QUERY, + message=( + f"Some columns in the primary key {spec.primary_key} " + "were not found in the list of available columns for the " + f"node {spec.rendered_name}." + ), + ) + return None + + def _check_metric_query( + self, + spec: NodeSpec, + parsed_ast: ast.Query, + ) -> DJError | None: + """Check that a metric query has aggregation in projections""" + try: + if spec.node_type == NodeType.METRIC: + validate_metric_query(parsed_ast, spec.rendered_name) + return None + except Exception as exc: + return DJError( + code=ErrorCode.INVALID_SQL_QUERY, + message=str(exc), + ) + + def _infer_columns(self, spec: NodeSpec, parsed_ast: ast.Query) -> list[ColumnSpec]: + """Infer column specifications from parsed AST""" + columns_spec_map = { + col.name: col + for col in ( + spec.columns if hasattr(spec, "columns") and spec.columns else [] + ) + } + inferred_columns = [] + + for col in parsed_ast.select.projection: + column_name = col.alias_or_name.name # type: ignore + col_spec = columns_spec_map.get(column_name) + + inferred_column = self._create_column_spec( + column_name=column_name, + ast_column=col, # type: ignore + existing_spec=col_spec, + ) + inferred_columns.append(inferred_column) + + return inferred_columns + + def _create_column_spec( + self, + column_name: str, + ast_column: ast.Column, + existing_spec: Optional[ColumnSpec], + ) -> ColumnSpec: + """Create a ColumnSpec from AST column and existing spec""" + try: + column_type = str(ast_column.type) + except Exception as e: # pragma: no cover + logger.error("Error inferring column %s: %s", column_name, e) + column_type = "unknown" + + if existing_spec: + return ColumnSpec( + name=column_name, + type=column_type, + display_name=existing_spec.display_name, + description=existing_spec.description, + attributes=existing_spec.attributes, + partition=existing_spec.partition, + ) + else: + return ColumnSpec( + name=column_name, + type=column_type, + ) + + def _create_error_result( + self, + spec: NodeSpec, + error: Exception, + ) -> NodeValidationResult: + """ + Create a validation result for errors + """ + logger.exception( + "Error validating node %s: %s", + spec.rendered_name, + error, + ) + + return NodeValidationResult( + spec=spec, + status=NodeStatus.INVALID, + inferred_columns=[], + errors=[DJError(code=ErrorCode.INVALID_SQL_QUERY, message=str(error))], + dependencies=[], + ) + + @staticmethod + async def parse_queries( + node_specs: List[NodeSpec], + ) -> List[Optional[ast.Query] | Exception]: + """Parse all node queries in parallel using thread pool""" + + def _parse_single_query(spec: NodeSpec) -> Optional[ast.Query] | Exception: + """Parse a single node query - runs in thread pool""" + try: + if spec.node_type == NodeType.SOURCE: + return None # Source nodes don't have queries to parse + + query = ( + NodeRevision.format_metric_alias( + spec.rendered_query, # type: ignore + spec.rendered_name, + ) + if spec.node_type == NodeType.METRIC + else spec.rendered_query + ) + return parse(query) + except Exception as exc: # pragma: no cover + logger.error( + "Error parsing query for node %s: %s", + spec.rendered_name, + exc, + ) + return exc + + loop = asyncio.get_running_loop() + with ThreadPoolExecutor() as executor: + parse_tasks = [ + loop.run_in_executor(executor, _parse_single_query, spec) + for spec in node_specs + ] + return await asyncio.gather(*parse_tasks) + + async def process_validation( + self, + spec: NodeSpec, + parsed_result: Optional[ast.Query] | Exception, + ) -> NodeValidationResult: + """Process a single node validation""" + + # Handle parsing errors + if isinstance(parsed_result, Exception): + return NodeValidationResult( # pragma: no cover + spec=spec, + status=NodeStatus.INVALID, + inferred_columns=[], + errors=[ + DJError( + code=ErrorCode.INVALID_SQL_QUERY, + message=str(parsed_result), + ), + ], + dependencies=[], + ) + + # Handle SOURCE nodes (no query) + if parsed_result is None and spec.node_type == NodeType.SOURCE: + return await self.validate_source_node(spec) + + # Handle nodes with queries + if parsed_result is not None: + return await self.validate_query_node(spec, parsed_result) + + return NodeValidationResult( # pragma: no cover + spec=spec, + status=NodeStatus.VALID, + inferred_columns=spec.columns or [], + errors=[], + dependencies=[], + ) + + +async def bulk_validate_node_data( + node_specs: List[NodeSpec], + node_graph: Dict[str, List[str]], + session: AsyncSession, + dependency_nodes: Dict[str, Node], +) -> List[NodeValidationResult]: + """ + Bulk validate node specifications + """ + logger.info("Validating %d node queries", len(node_specs)) + validate_start = time.perf_counter() + context = ValidationContext( + session=session, + node_graph=node_graph, + dependency_nodes=dependency_nodes, + compile_context=ast.CompileContext( + session=session, + exception=DJException(), + dependencies_cache=dependency_nodes, + ), + ) + validator = NodeSpecBulkValidator(context) + validation_results = await validator.validate(node_specs) + logger.info( + "Validated %d node queries in %.2fs", + len(node_specs), + time.perf_counter() - validate_start, + ) + return validation_results diff --git a/datajunction-server/datajunction_server/internal/engines.py b/datajunction-server/datajunction_server/internal/engines.py new file mode 100644 index 000000000..b6794e96d --- /dev/null +++ b/datajunction-server/datajunction_server/internal/engines.py @@ -0,0 +1,29 @@ +"""Helper functions for engines.""" + +from http import HTTPStatus + +from fastapi import HTTPException +from sqlalchemy import select +from sqlalchemy.exc import NoResultFound +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.engine import Engine + + +async def get_engine(session: AsyncSession, name: str, version: str) -> Engine: + """ + Return an Engine instance given an engine name and version + """ + statement = ( + select(Engine) + .where(Engine.name == name) + .where(Engine.version == (version or "")) + ) + try: + engine = (await session.execute(statement)).scalar_one() + except NoResultFound as exc: + raise HTTPException( + status_code=HTTPStatus.NOT_FOUND, + detail=f"Engine not found: `{name}` version `{version}`", + ) from exc + return engine diff --git a/datajunction-server/datajunction_server/internal/history.py b/datajunction-server/datajunction_server/internal/history.py new file mode 100644 index 000000000..1a8a24210 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/history.py @@ -0,0 +1,43 @@ +"""Enums for history events""" + +from datajunction_server.enum import StrEnum + + +class ActivityType(StrEnum): + """ + An activity type + """ + + CREATE = "create" + DELETE = "delete" + RESTORE = "restore" + UPDATE = "update" + REFRESH = "refresh" + TAG = "tag" + SET_ATTRIBUTE = "set_attribute" + STATUS_CHANGE = "status_change" + + +class EntityType(StrEnum): + """ + An entity type for which activity can occur + """ + + ATTRIBUTE = "attribute" + AVAILABILITY = "availability" + BACKFILL = "backfill" + CATALOG = "catalog" + COLUMN_ATTRIBUTE = "column_attribute" + DEPENDENCY = "dependency" + ENGINE = "engine" + HIERARCHY = "hierarchy" + LINK = "link" + MATERIALIZATION = "materialization" + NAMESPACE = "namespace" + NODE = "node" + PARTITION = "partition" + QUERY = "query" + ROLE = "role" + ROLE_ASSIGNMENT = "role_assignment" + ROLE_SCOPE = "role_scope" + TAG = "tag" diff --git a/datajunction-server/datajunction_server/internal/materializations.py b/datajunction-server/datajunction_server/internal/materializations.py new file mode 100644 index 000000000..2650ae2e8 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/materializations.py @@ -0,0 +1,470 @@ +"""Node materialization helper functions""" + +import logging +import zlib +from typing import Dict, List, Optional, Tuple, Union + +from pydantic import ValidationError +from sqlalchemy.exc import InvalidRequestError +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.internal.sql import build_sql_for_multiple_metrics +from datajunction_server.construction.build import get_default_criteria +from datajunction_server.construction.build_v2 import QueryBuilder +from datajunction_server.internal.sql import get_measures_query +from datajunction_server.database.materialization import Materialization +from datajunction_server.database.node import NodeRevision +from datajunction_server.database.user import User +from datajunction_server.errors import DJException, DJInvalidInputException +from datajunction_server.internal.cube_materializations import ( + build_cube_materialization, +) +from datajunction_server.materialization.jobs import MaterializationJob +from datajunction_server.internal.access.authorization import AccessChecker +from datajunction_server.models.column import SemanticType +from datajunction_server.models.cube_materialization import UpsertCubeMaterialization +from datajunction_server.models.materialization import ( + DruidMeasuresCubeConfig, + DruidMetricsCubeConfig, + GenericMaterializationConfig, + MaterializationInfo, + MaterializationJobTypeEnum, + Measure, + MetricMeasures, + UpsertMaterialization, +) +from datajunction_server.models.metric import TranslatedSQL +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.query import ColumnMetadata +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.ast import CompileContext +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing.types import TimestampType +from datajunction_server.utils import SEPARATOR, session_context + +MAX_COLUMN_NAME_LENGTH = 128 +_logger = logging.getLogger(__name__) + + +async def rewrite_metrics_expressions( + session: AsyncSession, + current_revision: NodeRevision, + measures_query: TranslatedSQL, +) -> Dict[str, MetricMeasures]: + """ + Map each metric to a rewritten version of the metric expression with the measures from + the materialized measures table. + """ + context = CompileContext(session, DJException()) + metrics_expressions = {} + measures_to_output_columns_lookup = { + column.semantic_entity: column.name + for column in measures_query.columns # type: ignore + } + for metric in current_revision.cube_metrics(): + measures_for_metric = [] + metric_ast = parse(metric.current.query) + await metric_ast.compile(context) + for col in metric_ast.select.find_all(ast.Column): + full_column_name = ( + col.table.dj_node.name + SEPARATOR + col.alias_or_name.name # type: ignore + ) + if ( + full_column_name in measures_to_output_columns_lookup + ): # pragma: no cover + measures_for_metric.append( + Measure( + name=full_column_name, + field_name=measures_to_output_columns_lookup[full_column_name], + type=str(col.type), + agg="sum", + ), + ) + + col._table = None + col.name = ast.Name( + measures_to_output_columns_lookup[full_column_name], + ) + if ( + hasattr(metric_ast.select.projection[0], "alias") + and metric_ast.select.projection[0].alias # type: ignore + ): + metric_ast.select.projection[0].alias.name = "" # type: ignore + if measures_for_metric: + metrics_expressions[metric.name] = MetricMeasures( + metric=metric.name, + measures=measures_for_metric, + combiner=str(metric_ast.select.projection[0]), + ) + return metrics_expressions + + +async def build_cube_materialization_config( + session: AsyncSession, + current_revision: NodeRevision, + upsert_input: UpsertMaterialization, + access_checker: AccessChecker, + current_user: User, +) -> DruidMeasuresCubeConfig: + """ + Builds the materialization config for a cube. + + If the job type is DRUID_METRICS_CUBE, we build an aggregation query with all metric + aggregations and ingest this aggregated table to Druid. + + Alternatively, we build a measures query where we ingest the referenced measures for all + selected metrics at the level of dimensions provided. This query is used to create + an intermediate table for ingestion into an OLAP database like Druid. + + We additionally provide a metric to measures mapping that tells us both which measures + in the query map to each selected metric and how to rewrite each metric expression + based on the materialized measures table. + """ + try: + # Druid Metrics Cube (Post-Agg) + if upsert_input.job == MaterializationJobTypeEnum.DRUID_METRICS_CUBE: + metrics_query, _, _ = await build_sql_for_multiple_metrics( + session=session, + metrics=[node.name for node in current_revision.cube_metrics()], + dimensions=current_revision.cube_dimensions(), + use_materialized=False, + access_checker=access_checker, + ) + generic_config = DruidMetricsCubeConfig( + lookback_window=upsert_input.config.lookback_window, + node_name=current_revision.name, + query=metrics_query.sql, + dimensions=[ + col.name + for col in metrics_query.columns # type: ignore + if col.semantic_type != SemanticType.METRIC + ], + metrics=[ + col + for col in metrics_query.columns # type: ignore + if col.semantic_type == SemanticType.METRIC + ], + spark=upsert_input.config.spark, + upstream_tables=metrics_query.upstream_tables, + columns=metrics_query.columns, + ) + return generic_config + + # Druid Measures Cube (Pre-Agg) + measures_queries = await get_measures_query( + session=session, + metrics=[node.name for node in current_revision.cube_metrics()], + dimensions=current_revision.cube_dimensions(), + filters=[], + access_checker=access_checker, + ) + for measures_query in measures_queries: + metrics_expressions = await rewrite_metrics_expressions( + session, + current_revision, + measures_query, + ) + generic_config = DruidMeasuresCubeConfig( + node_name=current_revision.name, + query=measures_query.sql, + dimensions=[ + col.name + for col in measures_query.columns # type: ignore + if col.semantic_type == SemanticType.DIMENSION + ], + measures=metrics_expressions, + spark=( + getattr(getattr(upsert_input.config, "spark", None), "root", {}) + if upsert_input.config + else {} + ), + upstream_tables=measures_query.upstream_tables, + columns=measures_query.columns, + lookback_window=getattr(upsert_input, "lookback_window", None), + ) + return generic_config + except (KeyError, ValidationError, AttributeError) as exc: # pragma: no cover + _logger.exception(exc) + raise DJInvalidInputException( # pragma: no cover + message=( + "No change has been made to the materialization config for " + f"node `{current_revision.name}` and job " + f"`{upsert_input.job.name}` as" # type: ignore + " the config does not have valid configuration for " + f"engine `{upsert_input.job.name}`." # type: ignore + ), + ) from exc + + +async def build_non_cube_materialization_config( + session: AsyncSession, + current_revision: NodeRevision, + upsert: UpsertMaterialization, +) -> GenericMaterializationConfig: + """ + Build materialization config for non-cube nodes (transforms and dimensions). + """ + _logger.info( + "Building materialization config for node=%s node_type=%s %s", + current_revision.name, + current_revision.type, + upsert, + ) + build_criteria = get_default_criteria( + node=current_revision, + ) + query_builder = await QueryBuilder.create(session, current_revision) + materialization_ast = await ( + query_builder.ignore_errors().with_build_criteria(build_criteria).build() + ) + generic_config = GenericMaterializationConfig( + lookback_window=getattr(upsert.config, "lookback_window", None), + query=str(materialization_ast), + spark=getattr(upsert.config, "spark", None) if upsert.config else {}, + upstream_tables=[ + f"{current_revision.catalog.name}.{tbl.identifier()}" + for tbl in materialization_ast.find_all(ast.Table) + ], + columns=[ + ColumnMetadata(name=col.name, type=str(col.type)) + for col in current_revision.columns + ], + ) + return generic_config + + +async def create_new_materialization( + session: AsyncSession, + current_revision: NodeRevision, + upsert: UpsertCubeMaterialization | UpsertMaterialization, + access_checker: AccessChecker, + current_user: User, +) -> Materialization: + """ + Create a new materialization based on the input values. + """ + generic_config = None + try: + await session.refresh(current_revision, ["columns"]) + except InvalidRequestError: # pragma: no cover + pass + temporal_partition = current_revision.temporal_partition_columns() + timestamp_columns = [ + col for col in current_revision.columns if col.type == TimestampType() + ] + if current_revision.type in ( + NodeType.DIMENSION, + NodeType.TRANSFORM, + ): + generic_config = await build_non_cube_materialization_config( + session, + current_revision, + upsert, + ) + + categorical_partitions = current_revision.categorical_partition_columns() + if current_revision.type == NodeType.CUBE: + if not temporal_partition and not timestamp_columns: + raise DJInvalidInputException( + "The cube materialization cannot be configured if there is no " + "temporal partition specified on the cube. Please make sure at " + "least one cube element has a temporal partition defined", + ) + + # Druid Cube (this job will subsume all existing cube materialization types) + if upsert.job == MaterializationJobTypeEnum.DRUID_CUBE: + generic_config = await build_cube_materialization( + session=session, + current_revision=current_revision, + upsert_input=upsert, + ) + else: + generic_config = await build_cube_materialization_config( + session, + current_revision, + upsert, + access_checker, + current_user=current_user, + ) + materialization_name = ( + f"{upsert.job.name.lower()}__{upsert.strategy.name.lower()}" # type: ignore + + (f"__{temporal_partition[0].name}" if temporal_partition else "") + + ("__" if categorical_partitions else "") + + ("__".join([partition.name for partition in categorical_partitions])) + ) + return Materialization( + name=materialization_name, + node_revision=current_revision, + config=generic_config.model_dump(), # type: ignore + schedule=upsert.schedule or "@daily", + strategy=upsert.strategy, + job=upsert.job.value.job_class, # type: ignore + ) + + +async def schedule_materialization_jobs( + session: AsyncSession, + node_revision_id: int, + materialization_names: List[str], + query_service_client: QueryServiceClient, + request_headers: Optional[Dict[str, str]] = None, +) -> Dict[str, MaterializationInfo]: + """ + Schedule recurring materialization jobs + """ + if not query_service_client: + return {} # No query service configured, skip scheduling + + materializations = await Materialization.get_by_names( + session, + node_revision_id, + materialization_names, + ) + materialization_jobs = { + cls.__name__: cls for cls in MaterializationJob.__subclasses__() + } + materialization_to_output = {} + for materialization in materializations: + clazz = materialization_jobs.get(materialization.job) + if clazz and materialization.name: # pragma: no cover + materialization_to_output[materialization.name] = clazz().schedule( # type: ignore + materialization, + query_service_client, + request_headers=request_headers, + ) + return materialization_to_output + + +async def schedule_materialization_jobs_bg( + node_revision_id: int, + materialization_names: List[str], + query_service_client: QueryServiceClient, + request_headers: Optional[Dict[str, str]] = None, +) -> None: + """ + Schedule a materialization job in the background. + """ + async with session_context() as session: + await schedule_materialization_jobs( + session=session, + node_revision_id=node_revision_id, + materialization_names=materialization_names, + query_service_client=query_service_client, + request_headers=request_headers, + ) + + +def _get_readable_name(expr): + """ + Returns a readable name based on the columns in the expression. This is used + if we want to represent the expression as a single measure, which needs a name + """ + columns = [col for arg in expr.args for col in arg.find_all(ast.Column)] + readable_name = "_".join( + str(col.alias_or_name).rsplit(".", maxsplit=1)[-1] for col in columns + ) + return ( + readable_name[: MAX_COLUMN_NAME_LENGTH - 28] + + str(zlib.crc32(readable_name.encode("utf-8"))) + if columns + else "placeholder" + ) + + +def decompose_expression( + expr: Union[ast.Aliasable, ast.Expression], +) -> Tuple[ast.Expression, List[ast.Alias]]: + """ + Takes a metric expression and (a) determines the measures needed to evaluate + the metric and (b) includes the query expression needed to recombine these + measures into the metric, given a materialized cube. + + Simple aggregations are operations that can be computed incrementally as new + data is ingested, without relying on the results of other aggregations. + Examples include SUM, COUNT, MIN, MAX. + + Some complex aggregations can be decomposed to simple aggregations: i.e., AVG(x) can + be decomposed to SUM(x)/COUNT(x). + """ + if isinstance(expr, ast.Alias): + expr = expr.child # pragma: no cover + + if isinstance(expr, ast.Number): + return expr, [] # type: ignore + + if not expr.is_aggregation(): # type: ignore # pragma: no cover + return expr, [expr] # type: ignore + + simple_aggregations = {"sum", "count", "min", "max"} + if isinstance(expr, ast.Function): + function_name = expr.alias_or_name.name.lower() + readable_name = _get_readable_name(expr) + + if function_name in simple_aggregations: + measure_name = ast.Name(f"{readable_name}_{function_name}") + if not expr.args[0].is_aggregation(): + combiner: ast.Expression = ast.Function( + name=ast.Name(function_name), + args=[ast.Column(name=measure_name)], + ) + return combiner, [expr.set_alias(measure_name)] + + combiner, measures = decompose_expression(expr.args[0]) + return ( + ast.Function( + name=ast.Name(function_name), + args=[combiner], + ), + measures, + ) + + if function_name == "avg": # pragma: no cover + numerator_measure_name = ast.Name(f"{readable_name}_sum") + denominator_measure_name = ast.Name(f"{readable_name}_count") + combiner = ast.BinaryOp( + left=ast.Function( + ast.Name("sum"), + args=[ast.Column(name=numerator_measure_name)], + ), + right=ast.Function( + ast.Name("count"), + args=[ast.Column(name=denominator_measure_name)], + ), + op=ast.BinaryOpKind.Divide, + ) + return combiner, [ + ( + ast.Function(ast.Name("sum"), args=expr.args).set_alias( + numerator_measure_name, + ) + ), + ( + ast.Function(ast.Name("count"), args=expr.args).set_alias( + denominator_measure_name, + ) + ), + ] + acceptable_binary_ops = { + ast.BinaryOpKind.Plus, + ast.BinaryOpKind.Minus, + ast.BinaryOpKind.Multiply, + ast.BinaryOpKind.Divide, + } + if isinstance(expr, ast.BinaryOp): + if expr.op in acceptable_binary_ops: # pragma: no cover + measures_combiner_left, measures_left = decompose_expression(expr.left) + measures_combiner_right, measures_right = decompose_expression(expr.right) + combiner = ast.BinaryOp( + left=measures_combiner_left, + right=measures_combiner_right, + op=expr.op, + ) + return combiner, measures_left + measures_right + + if isinstance(expr, ast.Cast): + return decompose_expression(expr.expression) + + raise DJInvalidInputException( # pragma: no cover + f"Metric expression {expr} cannot be decomposed into its constituent measures", + ) diff --git a/datajunction-server/datajunction_server/internal/namespaces.py b/datajunction-server/datajunction_server/internal/namespaces.py new file mode 100644 index 000000000..21ece3853 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/namespaces.py @@ -0,0 +1,966 @@ +""" +Helper methods for namespaces endpoints. +""" + +from collections import defaultdict +import logging +import os +import re +from datetime import datetime, timezone +from typing import Callable, Dict, List, Tuple + +from sqlalchemy import or_, select, delete, func +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload + +from datajunction_server.database.deployment import Deployment +from datajunction_server.models.deployment import ( + DeploymentSourceType, + GitDeploymentSource, + LocalDeploymentSource, + NamespaceSourcesResponse, +) +from datajunction_server.api.helpers import get_node_namespace +from datajunction_server.database.history import History +from datajunction_server.database.namespace import NodeNamespace +from datajunction_server.database.node import Column, Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.errors import ( + DJActionNotAllowedException, + DJDoesNotExistException, + DJInvalidInputException, +) +from datajunction_server.models.namespace import ( + ImpactedNode, + HardDeleteResponse, + ImpactedNodes, +) +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.internal.nodes import ( + get_single_cube_revision_metadata, +) +from datajunction_server.models.node import NodeMinimumDetail +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.dag import ( + get_downstream_nodes, + get_nodes_with_common_dimensions, + topological_sort, +) +from datajunction_server.typing import UTCDatetime +from datajunction_server.utils import SEPARATOR + +import logging +from typing import Callable, Dict, List, cast + +import yaml +from sqlalchemy.ext.asyncio import AsyncSession +from datajunction_server.database.namespace import NodeNamespace +from datajunction_server.database.node import Node +from datajunction_server.database.user import User +from datajunction_server.models.deployment import ( + CubeSpec, + NamespaceSourcesResponse, + NodeSpec, +) +from datajunction_server.models.dimensionlink import LinkType +from datajunction_server.models.node import NodeMinimumDetail +from datajunction_server.models.node_type import NodeType +from datajunction_server.utils import SEPARATOR + +logger = logging.getLogger(__name__) + +# A list of namespace names that cannot be used because they are +# part of a list of reserved SQL keywords +RESERVED_NAMESPACE_NAMES = [ + "user", +] + + +async def get_nodes_in_namespace( + session: AsyncSession, + namespace: str, + node_type: NodeType = None, + include_deactivated: bool = False, +) -> List[NodeMinimumDetail]: + """ + Gets a list of node names in the namespace + """ + return await NodeNamespace.list_nodes( + session, + namespace, + node_type=node_type, + include_deactivated=include_deactivated, + ) + + +async def get_nodes_in_namespace_detailed( + session: AsyncSession, + namespace: str, + node_type: NodeType = None, +) -> List[Node]: + """ + Gets a list of node names (w/ full details) in the namespace + """ + await get_node_namespace(session, namespace) + list_nodes_query = ( + select(Node) + .where( + or_( + Node.namespace.like(f"{namespace}.%"), + Node.namespace == namespace, + ), + Node.current_version == NodeRevision.version, + Node.name == NodeRevision.name, + Node.type == node_type if node_type else True, # type: ignore + Node.deactivated_at.is_(None), + ) + .options( + joinedload(Node.current).options( + *NodeRevision.default_load_options(), + ), + joinedload(Node.tags), + ) + ) + return (await session.execute(list_nodes_query)).unique().scalars().all() + + +async def list_namespaces_in_hierarchy( + session: AsyncSession, + namespace: str, +) -> List[NodeNamespace]: + """ + Get all namespaces in hierarchy under the specified namespace + """ + statement = select(NodeNamespace).where( + or_( + NodeNamespace.namespace.like( + f"{namespace}.%", + ), + NodeNamespace.namespace == namespace, + ), + ) + namespaces = (await session.execute(statement)).scalars().all() + if len(namespaces) == 0: + raise DJDoesNotExistException( + message=(f"Namespace `{namespace}` does not exist."), + http_status_code=404, + ) + return namespaces + + +async def mark_namespace_deactivated( + session: AsyncSession, + namespace: NodeNamespace, + current_user: User, + save_history: Callable, + message: str = None, +): + """ + Deactivates the node namespace and updates history indicating so + """ + now = datetime.now(timezone.utc) + namespace.deactivated_at = UTCDatetime( + year=now.year, + month=now.month, + day=now.day, + hour=now.hour, + minute=now.minute, + second=now.second, + ) + await save_history( + event=History( + entity_type=EntityType.NAMESPACE, + entity_name=namespace.namespace, + node=None, + activity_type=ActivityType.DELETE, + details={"message": message or ""}, + user=current_user.username, + ), + session=session, + ) + await session.commit() + + +async def mark_namespace_restored( + session: AsyncSession, + namespace: NodeNamespace, + current_user: User, + save_history: Callable, + message: str = None, +): + """ + Restores the node namespace and updates history indicating so + """ + namespace.deactivated_at = None # type: ignore + await save_history( + event=History( + entity_type=EntityType.NAMESPACE, + entity_name=namespace.namespace, + node=None, + activity_type=ActivityType.RESTORE, + details={"message": message or ""}, + user=current_user.username, + ), + session=session, + ) + await session.commit() + + +def validate_namespace(namespace: str): + """ + Validate that the namespace parts are valid (i.e., cannot start with numbers or be empty) + """ + parts = namespace.split(SEPARATOR) + for part in parts: + if ( + not part + or not re.match("^[a-zA-Z][a-zA-Z0-9_]*$", part) + or part in RESERVED_NAMESPACE_NAMES + ): + raise DJInvalidInputException( + f"{namespace} is not a valid namespace. Namespace parts cannot start with numbers" + f", be empty, or use the reserved keyword [{', '.join(RESERVED_NAMESPACE_NAMES)}]", + ) + + +def get_parent_namespaces(namespace: str): + """ + Return a list of all parent namespaces + """ + parts = namespace.split(SEPARATOR) + return [SEPARATOR.join(parts[0:i]) for i in range(len(parts)) if parts[0:i]] + + +async def create_namespace( + session: AsyncSession, + namespace: str, + current_user: User, + save_history: Callable, + include_parents: bool = True, +) -> List[str]: + """ + Creates a namespace entry in the database table. + """ + logger.info("Creating namespace `%s` and any parent namespaces", namespace) + + validate_namespace(namespace) + parents = ( + get_parent_namespaces(namespace) + [namespace] + if include_parents + else [namespace] + ) + for parent_namespace in parents: + if not await get_node_namespace( # pragma: no cover + session=session, + namespace=parent_namespace, + raise_if_not_exists=False, + ): + logger.info("Created namespace `%s`", parent_namespace) + node_namespace = NodeNamespace(namespace=parent_namespace) + session.add(node_namespace) + await save_history( + event=History( + entity_type=EntityType.NAMESPACE, + entity_name=namespace, + node=None, + activity_type=ActivityType.CREATE, + user=current_user.username, + ), + session=session, + ) + await session.commit() + return parents + + +async def hard_delete_namespace( + session: AsyncSession, + namespace: str, + current_user: User, + save_history: Callable, + cascade: bool = False, +) -> HardDeleteResponse: + """ + Hard delete a node namespace. + """ + node_names = ( + ( + await session.execute( + select(Node.name) + .where( + or_( + Node.namespace.like(f"{namespace}.%"), + Node.namespace == namespace, + ), + ) + .order_by(Node.name), + ) + ) + .scalars() + .all() + ) + + if not cascade and node_names: + raise DJActionNotAllowedException( + message=( + f"Cannot hard delete namespace `{namespace}` as there are still the " + f"following nodes under it: `{node_names}`. Set `cascade` to true to " + "additionally hard delete the above nodes in this namespace. WARNING:" + " this action cannot be undone." + ), + ) + impacts = { + node_name: {"type": "node in namespace", "status": "hard deleted"} + for node_name in node_names + } + + # Track downstream nodes affected by deletions + impacted_downstreams = defaultdict(list) + impacted_links = defaultdict(list) + nodes = await Node.get_by_names(session, node_names) + for node in nodes: + # Downstream links + if node.type == NodeType.DIMENSION: + for downstream_link in await get_nodes_with_common_dimensions( + session, + [node], + ): + if downstream_link.name not in node_names: + impacted_links[downstream_link.name].append(node.name) + + # Downstream query references + for downstream_node in await get_downstream_nodes( + session=session, + node_name=node.name, + ): + if downstream_node.name not in node_names: + impacted_downstreams[downstream_node.name].append(node.name) + + # Save history and update impacts for downstream nodes + for impacted_node, causes in impacted_downstreams.items(): + await save_history( + event=History( + entity_type=EntityType.DEPENDENCY, + entity_name=impacted_node, + activity_type=ActivityType.DELETE, + user=current_user.username, + details={"caused_by": causes}, + ), + session=session, + ) + + for impacted_node, causes in impacted_links.items(): + await save_history( + event=History( + entity_type=EntityType.DEPENDENCY, + entity_name=impacted_node, + activity_type=ActivityType.DELETE, + user=current_user.username, + details={"caused_by": causes}, + ), + session=session, + ) + + # Delete the nodes + await session.execute(delete(Node).where(Node.name.in_(node_names))) + await session.commit() + + # Delete namespaces and record impact + namespaces = await list_namespaces_in_hierarchy(session, namespace) + deleted_namespaces = [ns.namespace for ns in namespaces] + for _namespace in namespaces: + impacts[_namespace.namespace] = { + "type": "namespace", + "status": "hard deleted", + } + await session.delete(_namespace) + await session.commit() + + return HardDeleteResponse( + deleted_namespaces=deleted_namespaces, + deleted_nodes=node_names, + impacted=ImpactedNodes( + downstreams=[ + ImpactedNode(name=downstream, caused_by=caused_by) + for downstream, caused_by in impacted_downstreams.items() + ], + links=[ + ImpactedNode(name=linked, caused_by=caused_by) + for linked, caused_by in impacted_links.items() + ], + ), + ) + + +def _get_dir_and_filename( + node_name: str, + node_type: str, + namespace_requested: str, +) -> Tuple[str, str, str]: + """ + Get the directory, filename, and build name for a node + """ + dot_split = node_name.replace(f"{namespace_requested}.", "").split(".") + filename = f"{dot_split[-1]}.{node_type}.yaml" + directory = os.path.sep.join(dot_split[:-1]) + build_name = ( + f"{SEPARATOR.join(dot_split[:-1])}.{dot_split[-1]}" + if directory + else dot_split[-1] + ) + return filename, directory, build_name + + +def _non_primary_key_attributes(column: Column): + """ + Returns all non-PK column attributes for a column + """ + return [ + attr.attribute_type.name + for attr in column.attributes + if attr.attribute_type.name not in ("primary_key",) + ] + + +def _attributes_config(column: Column): + """ + Returns a project config definition for a partition on a column + """ + non_pk_attributes = _non_primary_key_attributes(column) + if non_pk_attributes: + return {"attributes": _non_primary_key_attributes(column)} + return {} + + +def _partition_config(column: Column): + """ + Returns a project config definition for a partition on a column + """ + if column.partition: + return { + "partition": { + "format": column.partition.format, + "granularity": column.partition.granularity, + "type_": column.partition.type_, + }, + } + return {} + + +def _source_project_config(node: Node, namespace_requested: str) -> Dict: + """ + Returns a project config definition for a source node + """ + filename, directory, build_name = _get_dir_and_filename( + node_name=node.name, + node_type=node.type, + namespace_requested=namespace_requested, + ) + return { + "filename": filename, + "directory": directory, + "build_name": build_name, + "display_name": node.current.display_name, + "description": node.current.description, + "table": f"{node.current.catalog}.{node.current.schema_}.{node.current.table}", + "columns": [ + { + "name": column.name, + "type": str(column.type), + **_attributes_config(column), + **_partition_config(column), + } + for column in node.current.columns + ], + "primary_key": [pk.name for pk in node.current.primary_key()], + "dimension_links": _dimension_links_config(node), + "tags": [tag.name for tag in node.tags], + } + + +def _transform_project_config(node: Node, namespace_requested: str) -> Dict: + """ + Returns a project config definition for a transform node + """ + filename, directory, build_name = _get_dir_and_filename( + node_name=node.name, + node_type=node.type, + namespace_requested=namespace_requested, + ) + return { + "filename": filename, + "directory": directory, + "build_name": build_name, + "display_name": node.current.display_name, + "description": node.current.description, + "query": node.current.query, + "columns": [ + { + "name": column.name, + **_attributes_config(column), + **_partition_config(column), + } + for column in node.current.columns + if _non_primary_key_attributes(column) or column.partition + ], + "primary_key": [pk.name for pk in node.current.primary_key()], + "dimension_links": _dimension_links_config(node), + "tags": [tag.name for tag in node.tags], + } + + +def _dimension_project_config(node: Node, namespace_requested: str) -> Dict: + """ + Returns a project config definition for a dimension node + """ + filename, directory, build_name = _get_dir_and_filename( + node_name=node.name, + node_type=node.type, + namespace_requested=namespace_requested, + ) + return { + "filename": filename, + "directory": directory, + "build_name": build_name, + "display_name": node.current.display_name, + "description": node.current.description, + "query": node.current.query, + "columns": [ + { + "name": column.name, + **_attributes_config(column), + **_partition_config(column), + } + for column in node.current.columns + if _non_primary_key_attributes(column) or column.partition + ], + "primary_key": [pk.name for pk in node.current.primary_key()], + "dimension_links": _dimension_links_config(node), + "tags": [tag.name for tag in node.tags], + } + + +def _metric_project_config(node: Node, namespace_requested: str) -> Dict: + """ + Returns a project config definition for a metric node + """ + filename, directory, build_name = _get_dir_and_filename( + node_name=node.name, + node_type=node.type, + namespace_requested=namespace_requested, + ) + return { + "filename": filename, + "directory": directory, + "build_name": build_name, + "display_name": node.current.display_name, + "description": node.current.description, + "query": node.current.query, + "tags": [tag.name for tag in node.tags], + "required_dimensions": [dim.name for dim in node.current.required_dimensions], + "direction": ( + node.current.metric_metadata.direction.name.lower() + if node.current.metric_metadata and node.current.metric_metadata.direction + else None + ), + "unit": ( + node.current.metric_metadata.unit.name.lower() + if node.current.metric_metadata and node.current.metric_metadata.unit + else None + ), + "significant_digits": ( + node.current.metric_metadata.significant_digits + if node.current.metric_metadata + and node.current.metric_metadata.significant_digits + else None + ), + "min_decimal_exponent": ( + node.current.metric_metadata.min_decimal_exponent + if node.current.metric_metadata + and node.current.metric_metadata.min_decimal_exponent + else None + ), + "max_decimal_exponent": ( + node.current.metric_metadata.max_decimal_exponent + if node.current.metric_metadata + and node.current.metric_metadata.max_decimal_exponent + else None + ), + } + + +async def _cube_project_config( + session: AsyncSession, + node: Node, + namespace_requested: str, +) -> Dict: + """ + Returns a project config definition for a cube node + """ + filename, directory, build_name = _get_dir_and_filename( + node_name=node.name, + node_type=NodeType.CUBE, + namespace_requested=namespace_requested, + ) + cube_revision = await get_single_cube_revision_metadata(session, node.name) + metrics = [] + dimensions = [] + for element in cube_revision.cube_elements: + if element.type == NodeType.METRIC: + metrics.append(element.node_name) + else: + dimensions.append(f"{element.node_name}.{element.name}") + return { + "filename": filename, + "directory": directory, + "build_name": build_name, + "display_name": cube_revision.display_name, + "description": cube_revision.description, + "metrics": metrics, + "dimensions": dimensions, + "columns": [ + { + "name": column.name, + **_partition_config(column), + } + for column in cube_revision.columns + if column.partition + ], + "tags": [tag.name for tag in node.tags], + } + + +def _dimension_links_config(node: Node): + join_links = [ + { + "type": "join", + "dimension_node": link.dimension.name, + "join_type": link.join_type, + "join_on": link.join_sql, + **({"role": link.role} if link.role else {}), + } + for link in node.current.dimension_links + ] + reference_links = [ + { + "type": "reference", + "node_column": column.name, + "dimension": column.dimension.name + + SEPARATOR + + (column.dimension_column or ""), + } + for column in node.current.columns + if column.dimension + ] + return join_links + reference_links + + +async def get_project_config( + session: AsyncSession, + nodes: List[Node], + namespace_requested: str, +) -> List[Dict]: + """ + Returns a project config definition + """ + sorted_nodes = topological_sort(nodes) + project_config_mapping = { + NodeType.SOURCE: _source_project_config, + NodeType.TRANSFORM: _transform_project_config, + NodeType.DIMENSION: _dimension_project_config, + NodeType.METRIC: _metric_project_config, + } + project_components = [ + project_config_mapping[node.type]( + node=node, + namespace_requested=namespace_requested, + ) + if node.type in project_config_mapping + else await _cube_project_config( + session=session, + node=node, + namespace_requested=namespace_requested, + ) + for node in sorted_nodes + ] + return project_components + + +async def get_sources_for_namespace( + session: AsyncSession, + namespace: str, +) -> NamespaceSourcesResponse: + """ + Helper to get deployment sources for a single namespace. + Delegates to the bulk function for consistency. + """ + results = await get_sources_for_namespaces_bulk(session, [namespace]) + return results.get( + namespace, + NamespaceSourcesResponse( + namespace=namespace, + primary_source=None, + total_deployments=0, + ), + ) + + +async def get_sources_for_namespaces_bulk( + session: AsyncSession, + namespaces: list[str], +) -> dict[str, NamespaceSourcesResponse]: + """ + Get deployment sources for multiple namespaces in a single optimized query. + + Uses window functions to efficiently fetch the most recent 20 deployments + per namespace in a single query, avoiding N database round trips. + """ + if not namespaces: + return {} + + # Get total counts per namespace in one query + count_stmt = ( + select( + Deployment.namespace, + func.count().label("total"), + ) + .where(Deployment.namespace.in_(namespaces)) + .group_by(Deployment.namespace) + ) + count_result = await session.execute(count_stmt) + counts_by_namespace = {row.namespace: row.total for row in count_result} + + # Get the most recent 20 deployments per namespace using window function + # Create a subquery that ranks deployments within each namespace + row_num = ( + func.row_number() + .over( + partition_by=Deployment.namespace, + order_by=Deployment.created_at.desc(), + ) + .label("rn") + ) + + # Include all deployments since failed deploys still indicate the source + ranked_subquery = ( + select( + Deployment.namespace, + Deployment.spec, + Deployment.created_at, + row_num, + ).where(Deployment.namespace.in_(namespaces)) + ).subquery() + + # Filter to only the top 20 per namespace + recent_stmt = select( + ranked_subquery.c.namespace, + ranked_subquery.c.spec, + ranked_subquery.c.created_at, + ).where(ranked_subquery.c.rn <= 20) + + recent_result = await session.execute(recent_stmt) + recent_rows = recent_result.all() + + # Process deployments and determine primary source for each namespace + # Group deployments by namespace + deployments_by_namespace: dict[str, list[dict]] = defaultdict(list) + for row in recent_rows: + deployments_by_namespace[row.namespace].append( + {"spec": row.spec, "created_at": row.created_at}, + ) + + # Build response for each namespace + results: dict[str, NamespaceSourcesResponse] = {} + for namespace in namespaces: + total_deployments = counts_by_namespace.get(namespace, 0) + + if total_deployments == 0: + results[namespace] = NamespaceSourcesResponse( + namespace=namespace, + primary_source=None, + total_deployments=0, + ) + continue + + recent_deployments = deployments_by_namespace.get(namespace, []) + + # Count source types among recent deployments to determine primary + git_count = 0 + local_count = 0 + latest_git_source: GitDeploymentSource | None = None + latest_local_source: LocalDeploymentSource | None = None + + for deployment in recent_deployments: + source_data = ( + deployment["spec"].get("source") if deployment["spec"] else None + ) + + if source_data and source_data.get("type") == DeploymentSourceType.GIT: + git_count += 1 + if latest_git_source is None: + latest_git_source = GitDeploymentSource(**source_data) + elif source_data and source_data.get("type") == DeploymentSourceType.LOCAL: + local_count += 1 + if latest_local_source is None: # pragma: no branch + latest_local_source = LocalDeploymentSource(**source_data) + else: + # Legacy deployment without source info - treat as local + local_count += 1 + if latest_local_source is None: # pragma: no branch + latest_local_source = LocalDeploymentSource() + + # Primary source is the type with more deployments among recent 20 + # If tie, prefer git (managed) over local + if git_count >= local_count and latest_git_source: + primary_source: GitDeploymentSource | LocalDeploymentSource | None = ( + latest_git_source + ) + elif latest_local_source: + primary_source = latest_local_source + else: + primary_source = None # pragma: no cover + + results[namespace] = NamespaceSourcesResponse( + namespace=namespace, + primary_source=primary_source, + total_deployments=total_deployments, + ) + + return results + + +def inject_prefixes(unparameterized_string: str, prefix: str) -> str: + """ + Replaces a namespace in a string with ${prefix} + default.namespace.blah -> ${prefix}.blah + default.namespace.blah.foo -> ${prefix}.blah.foo + """ + return unparameterized_string.replace(f"{prefix}" + SEPARATOR, "${prefix}") + + +async def get_node_specs_for_export( + session: AsyncSession, + namespace: str, +) -> list[NodeSpec]: + """ + Get node specs for a namespace with ${prefix} injection applied. + + This is shared between: + - /namespaces/{namespace}/export/spec (JSON API) + - /namespaces/{namespace}/export/yaml (ZIP download) + """ + nodes = await NodeNamespace.list_all_nodes( + session, + namespace, + options=Node.cube_load_options(), + ) + node_specs = [await node.to_spec(session) for node in nodes] + + for node_spec in node_specs: + node_spec.name = inject_prefixes(node_spec.rendered_name, namespace) + if node_spec.node_type in ( + NodeType.TRANSFORM, + NodeType.DIMENSION, + NodeType.METRIC, + ): + node_spec.query = inject_prefixes(node_spec.query, namespace) + if node_spec.node_type in ( + NodeType.SOURCE, + NodeType.TRANSFORM, + NodeType.DIMENSION, + ): + for link in node_spec.dimension_links: + if link.type == LinkType.JOIN: + link.dimension_node = inject_prefixes( + link.dimension_node, + namespace, + ) + link.join_on = inject_prefixes(link.join_on, namespace) + else: # pragma: no cover + link.dimension = inject_prefixes(link.dimension, namespace) + if node_spec.node_type == NodeType.CUBE: + cube_spec = cast(CubeSpec, node_spec) + cube_spec.metrics = [ + inject_prefixes(metric, namespace) for metric in node_spec.metrics + ] + cube_spec.dimensions = [ + inject_prefixes(dimension, namespace) + for dimension in node_spec.dimensions + ] + + return node_specs + + +def _multiline_str_representer(dumper, data): + """ + Custom YAML representer that uses literal block style (|) for multiline strings. + """ + if "\n" in data: + return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|") + return dumper.represent_scalar("tag:yaml.org,2002:str", data) + + +def _get_yaml_dumper(): + """ + Get a YAML dumper configured for clean node export. + Uses literal block style for multiline strings (like SQL queries). + """ + + class MultilineStrDumper(yaml.SafeDumper): + pass + + MultilineStrDumper.add_representer(str, _multiline_str_representer) + return MultilineStrDumper + + +def _node_spec_to_yaml_dict(node_spec) -> dict: + """ + Convert a NodeSpec to a dict suitable for YAML serialization. + Excludes None values and empty lists for cleaner output. + + For columns: + - Cubes: columns are always excluded (they're inferred from metrics/dimensions) + - Other nodes: only includes columns with meaningful customizations + (display_name different from name, attributes, description, or partition). + Column types are excluded - let DJ infer them from the query/source. + """ + # Use model_dump with mode="json" to convert Enums to strings + # Note: Don't use exclude_unset=True as it would exclude discriminator fields + # like 'type' on dimension_links which have default values + data = node_spec.model_dump( + mode="json", # Converts Enums to strings, datetimes to ISO format, etc. + exclude_none=True, + exclude={"namespace"}, # namespace is part of file path, not content + ) + + # Cubes should never have columns in export - they're inferred from metrics/dimensions + if data.get("node_type") == "cube": + data.pop("columns", None) + # For other nodes, filter columns to only include meaningful customizations + elif "columns" in data and data["columns"]: + filtered_columns = [] + for col in data["columns"]: + # Check for meaningful customizations + has_custom_display = col.get("display_name") and col.get( + "display_name", + ) != col.get("name") + has_attributes = bool(col.get("attributes")) + has_description = bool(col.get("description")) + has_partition = bool(col.get("partition")) + + if has_custom_display or has_attributes or has_description or has_partition: + # Include column but exclude type (let DJ infer) + filtered_col = { + k: v + for k, v in col.items() + if k != "type" and v # Exclude type and empty values + } + filtered_columns.append(filtered_col) + + if filtered_columns: + data["columns"] = filtered_columns + else: + # Remove columns entirely if none have customizations + del data["columns"] + + # Remove empty lists/dicts for cleaner YAML + return {k: v for k, v in data.items() if v or v == 0 or v is False} diff --git a/datajunction-server/datajunction_server/internal/nodes.py b/datajunction-server/datajunction_server/internal/nodes.py new file mode 100644 index 000000000..3a81b25a2 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/nodes.py @@ -0,0 +1,3043 @@ +"""Nodes endpoint helper functions""" + +import logging +from collections import defaultdict +from datetime import datetime, timezone +from http import HTTPStatus +from typing import Callable, Dict, List, Optional, Union, cast + +from fastapi import BackgroundTasks, Request +from fastapi.responses import JSONResponse +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload + + +from datajunction_server.internal.access.authorization import ( + AccessChecker, +) +from datajunction_server.internal.caching.interface import Cache +from datajunction_server.models.query import QueryCreate +from datajunction_server.api.helpers import ( + get_attribute_type, + get_catalog_by_name, + get_column, + get_node_by_name, + get_node_namespace, + map_dimensions_to_roles, + raise_if_node_exists, + resolve_downstream_references, + validate_cube, +) +from datajunction_server.construction.build_v2 import compile_node_ast +from datajunction_server.database.attributetype import AttributeType, ColumnAttribute +from datajunction_server.database.column import Column +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.history import History +from datajunction_server.database.metricmetadata import MetricMetadata +from datajunction_server.database.node import MissingParent, Node, NodeRevision +from datajunction_server.database.partition import Partition +from datajunction_server.database.user import User +from datajunction_server.database.measure import FrozenMeasure +from datajunction_server.sql.decompose import MetricComponentExtractor +from datajunction_server.errors import ( + DJActionNotAllowedException, + DJDoesNotExistException, + DJError, + DJException, + DJInvalidInputException, + DJNodeNotFound, + ErrorCode, +) +from datajunction_server.internal.materializations import ( + create_new_materialization, + schedule_materialization_jobs_bg, +) +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.internal.validation import NodeValidator, validate_node_data +from datajunction_server.models.attribute import ( + AttributeTypeIdentifier, + ColumnAttributes, + UniquenessScope, +) +from datajunction_server.models.base import labelize +from datajunction_server.models.cube import CubeRevisionMetadata +from datajunction_server.models.dimensionlink import ( + JoinLinkInput, + JoinType, + LinkDimensionIdentifier, +) +from datajunction_server.models.history import status_change_history +from datajunction_server.models.materialization import ( + MaterializationJobTypeEnum, + UpsertMaterialization, +) +from datajunction_server.models.cube_materialization import UpsertCubeMaterialization +from datajunction_server.models.node import ( + DEFAULT_DRAFT_VERSION, + DEFAULT_PUBLISHED_VERSION, + CreateCubeNode, + CreateNode, + CreateSourceNode, + LineageColumn, + NodeMode, + NodeOutput, + NodeStatus, + UpdateNode, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.query import QueryCreate +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.dag import ( + get_downstream_nodes, + get_nodes_with_common_dimensions, + topological_sort, +) +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.ast import CompileContext +from datajunction_server.sql.parsing.backends.antlr4 import parse, parse_rule +from datajunction_server.typing import UTCDatetime +from datajunction_server.utils import ( + SEPARATOR, + Version, + VersionUpgrade, + get_namespace_from_name, + get_settings, + session_context, +) + +_logger = logging.getLogger(__name__) + +settings = get_settings() + + +async def create_a_source_node( + request: Request, + session: AsyncSession, + data: CreateSourceNode, + current_user: User, + query_service_client: QueryServiceClient, + background_tasks: BackgroundTasks, + access_checker: AccessChecker, + save_history: Callable, +): + request_headers = dict(request.headers) + await raise_if_node_exists(session, data.name) + + # if the node previously existed and now is inactive + if recreated_node := await create_node_from_inactive( + new_node_type=NodeType.SOURCE, + data=data, + session=session, + current_user=current_user, + request_headers=request_headers, + query_service_client=query_service_client, + access_checker=access_checker, + background_tasks=background_tasks, + save_history=save_history, + ): + return recreated_node + + namespace = get_namespace_from_name(data.name) + await get_node_namespace( + session=session, + namespace=namespace, + ) # Will return 404 if namespace doesn't exist + data.namespace = namespace + + node = Node( + name=data.name, + namespace=data.namespace, + display_name=data.display_name or f"{data.catalog}.{data.schema_}.{data.table}", + type=NodeType.SOURCE, + current_version=0, + created_by_id=current_user.id, + ) + catalog = await get_catalog_by_name(session=session, name=data.catalog) + + columns = [ + Column( + name=column_data.name, + type=column_data.type, + dimension=( + await get_node_by_name( + session, + name=column_data.dimension, + node_type=NodeType.DIMENSION, + raise_if_not_exists=False, + ) + ), + order=idx, + ) + for idx, column_data in enumerate(data.columns) + ] + node_revision = NodeRevision( + name=data.name, + display_name=data.display_name or f"{catalog.name}.{data.schema_}.{data.table}", + description=data.description, + type=NodeType.SOURCE, + status=NodeStatus.VALID, + catalog_id=catalog.id, + schema_=data.schema_, + table=data.table, + columns=columns, + parents=[], + created_by_id=current_user.id, + query=data.query, + ) + node.display_name = node_revision.display_name + + # Point the node to the new node revision. + await save_node( + session, + node_revision, + node, + data.mode, + current_user=current_user, + save_history=save_history, + ) + + return await Node.get_by_name( # type: ignore + session, + node.name, + options=NodeOutput.load_options(), + ) + + +async def create_a_node( + data: CreateNode, + request: Request, + node_type: NodeType, + session: AsyncSession, + current_user: User, + query_service_client: QueryServiceClient, + background_tasks: BackgroundTasks, + access_checker: AccessChecker, + save_history: Callable, + cache: Cache, +) -> Node: + request_headers = dict(request.headers) + if node_type == NodeType.DIMENSION and not data.primary_key: + raise DJInvalidInputException("Dimension nodes must define a primary key!") + + await raise_if_node_exists(session, data.name) + + # if the node previously existed and now is inactive + if recreated_node := await create_node_from_inactive( + new_node_type=node_type, + data=data, + session=session, + current_user=current_user, + request_headers=request_headers, + query_service_client=query_service_client, + background_tasks=background_tasks, + access_checker=access_checker, + save_history=save_history, + cache=cache, + ): + return recreated_node # pragma: no cover + + namespace = get_namespace_from_name(data.name) + await get_node_namespace( + session=session, + namespace=namespace, + ) # Will return 404 if namespace doesn't exist + data.namespace = namespace + + node = Node( + name=data.name, + namespace=data.namespace, + type=NodeType(node_type), + current_version=0, + created_by_id=current_user.id, + ) + node_revision = await create_node_revision(data, node_type, session, current_user) + + column_names = {col.name: col for col in node_revision.columns} + if data.primary_key: + if any(key_column not in column_names for key_column in data.primary_key): + raise DJInvalidInputException( + f"Some columns in the primary key [{','.join(data.primary_key)}] " + f"were not found in the list of available columns for the node {node.name}.", + ) + pk_attribute = await get_attribute_type( + session=session, + name=ColumnAttributes.PRIMARY_KEY.value, + namespace="system", + ) + for key_column in data.primary_key: + if key_column in column_names: # pragma: no cover + column_names[key_column].attributes.append( + ColumnAttribute(attribute_type=pk_attribute), + ) + + await save_node( + session, + node_revision, + node, + data.mode, + current_user=current_user, + save_history=save_history, + ) + + # For metric nodes, derive the referenced frozen measures and save them + if node.type == NodeType.METRIC: + background_tasks.add_task(derive_frozen_measures, node_revision.id) + + background_tasks.add_task( + save_column_level_lineage, + node_revision_id=node_revision.id, + ) + + return await Node.get_by_name( # type: ignore + session, + node.name, + options=NodeOutput.load_options(), + ) + + +async def create_a_cube( + request: Request, + session: AsyncSession, + data: CreateCubeNode, + current_user: User, + query_service_client: QueryServiceClient, + background_tasks: BackgroundTasks, + access_checker: AccessChecker, + save_history: Callable, +) -> Node: + request_headers = dict(request.headers) + await raise_if_node_exists(session, data.name) + + # if the node previously existed and now is inactive + if recreated_node := await create_node_from_inactive( + new_node_type=NodeType.CUBE, + data=data, + session=session, + current_user=current_user, + request_headers=request_headers, + query_service_client=query_service_client, + background_tasks=background_tasks, + access_checker=access_checker, + save_history=save_history, + ): + return recreated_node # pragma: no cover + + namespace = get_namespace_from_name(data.name) + await get_node_namespace( + session=session, + namespace=namespace, + ) + data.namespace = namespace + + node = Node( + name=data.name, + namespace=data.namespace, + type=NodeType.CUBE, + current_version=0, + created_by_id=current_user.id, + ) + node_revision = await create_cube_node_revision( + session=session, + data=data, + current_user=current_user, + ) + await save_node( + session, + node_revision, + node, + data.mode, + current_user=current_user, + save_history=save_history, + ) + return node + + +def get_node_column(node: Node, column_name: str) -> Column: + """ + Gets the specified column on a node + """ + column_map = {column.name: column for column in node.current.columns} + if column_name not in column_map: + raise DJDoesNotExistException( + message=f"Column `{column_name}` does not exist on node `{node.name}`!", + ) + column = column_map[column_name] + return column + + +async def validate_and_build_attribute( + session: AsyncSession, + column: Column, + attribute: AttributeTypeIdentifier, + node: Node, +) -> ColumnAttribute: + """ + Run some validation and build column attribute. + """ + # Verify attribute type exists + attribute_type = await get_attribute_type( + session, + attribute.name, + attribute.namespace, + ) + if not attribute_type: + raise DJDoesNotExistException( + message=f"Attribute type `{attribute.namespace}" + f".{attribute.name}` " + f"does not exist!", + ) + + # Verify that the attribute type is allowed for this node + if node.type not in attribute_type.allowed_node_types: + raise DJInvalidInputException( + message=f"Attribute type `{attribute.namespace}.{attribute_type.name}` " + f"not allowed on node type `{node.type}`!", + ) + + return ColumnAttribute( + attribute_type=attribute_type, + column=column, + ) + + +async def set_node_column_attributes( + session: AsyncSession, + node: Node, + column_name: str, + attributes: List[AttributeTypeIdentifier], + current_user: User, + save_history: Callable, +) -> List[Column]: + """ + Sets the column attributes on the node if allowed. + """ + column = get_node_column(node, column_name) + all_columns_map = {column.name: column for column in node.current.columns} + + existing_attributes = column.attributes + existing_attributes_map = { + attr.attribute_type.name: attr for attr in existing_attributes + } + await session.refresh(column) + column.attributes = [] + for attribute in attributes: + if attribute.name in existing_attributes_map: + column.attributes.append(existing_attributes_map[attribute.name]) + else: + column.attributes.append( + await validate_and_build_attribute(session, column, attribute, node), + ) + + # Validate column attributes by building mapping between + # attribute scope and columns + attributes_columns_map = defaultdict(set) + all_columns = all_columns_map.values() + + for _col in all_columns: + for attribute in _col.attributes: + scopes_map = { + UniquenessScope.NODE: attribute.attribute_type, + UniquenessScope.COLUMN_TYPE: _col.type, + } + attributes_columns_map[ + ( # type: ignore + attribute.attribute_type, + tuple( + scopes_map[item] + for item in attribute.attribute_type.uniqueness_scope + ), + ) + ].add(_col.name) + + for (attribute, _), columns in attributes_columns_map.items(): + if len(columns) > 1 and attribute.uniqueness_scope: + column.attributes = existing_attributes + raise DJInvalidInputException( + message=f"The column attribute `{attribute.name}` is scoped to be " + f"unique to the `{attribute.uniqueness_scope}` level, but there " + "is more than one column tagged with it: " + f"`{', '.join(sorted(list(columns)))}`", + ) + + session.add(column) + await save_history( + event=History( + entity_type=EntityType.COLUMN_ATTRIBUTE, + node=node.name, + activity_type=ActivityType.SET_ATTRIBUTE, + details={ + "column": column.name, + "attributes": [attr.model_dump() for attr in attributes], + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(column) + return [column] + + +async def create_node_revision( + data: CreateNode, + node_type: NodeType, + session: AsyncSession, + current_user: User, +) -> NodeRevision: + """ + Create a non-source node revision. + """ + node_revision = NodeRevision( + name=data.name, + display_name=( + data.display_name + if data.display_name + else labelize(data.name.split(SEPARATOR)[-1]) + ), + description=data.description, + type=node_type, + status=NodeStatus.VALID, + query=data.query, + mode=data.mode, + required_dimensions=data.required_dimensions or [], + created_by_id=current_user.id, + custom_metadata=data.custom_metadata, + ) + node_validator = await validate_node_data(node_revision, session) + + if node_validator.status == NodeStatus.INVALID: + if node_revision.mode == NodeMode.DRAFT: + node_revision.status = NodeStatus.INVALID + else: + raise DJException( + http_status_code=HTTPStatus.BAD_REQUEST, + errors=node_validator.errors, + ) + else: + node_revision.status = NodeStatus.VALID + node_revision.missing_parents = [ + MissingParent(name=missing_parent) + for missing_parent in node_validator.missing_parents_map + ] + node_revision.required_dimensions = node_validator.required_dimensions + node_revision.metric_metadata = ( + MetricMetadata.from_input(data.metric_metadata) + if node_type == NodeType.METRIC and data.metric_metadata is not None + else None + ) + new_parents = [node.name for node in node_validator.dependencies_map] + catalog_ids = [ + node.catalog_id + for node in node_validator.dependencies_map + if node.catalog_id + and node.catalog.name != settings.seed_setup.virtual_catalog_name + ] + if node_revision.mode == NodeMode.PUBLISHED and not len(set(catalog_ids)) <= 1: + raise DJException( + f"Cannot create nodes with multi-catalog dependencies: {set(catalog_ids)}", + ) + catalog_id = next( + iter(catalog_ids), + (await Catalog.get_virtual_catalog(session)).id, + ) + parent_refs = ( + ( + await session.execute( + select(Node).where( + Node.name.in_( # type: ignore + new_parents, + ), + ), + ) + ) + .unique() + .scalars() + .all() + ) + node_revision.parents = parent_refs + node_revision.columns = node_validator.columns or [] + if node_revision.type == NodeType.METRIC: + if node_revision.columns: + node_revision.columns[0].display_name = node_revision.display_name + node_revision.catalog_id = catalog_id + return node_revision + + +async def create_cube_node_revision( + session: AsyncSession, + data: CreateCubeNode, + current_user: User, +) -> NodeRevision: + """ + Create a cube node revision. + """ + ( + metric_columns, + metric_nodes, + dimension_nodes, + dimension_columns, + catalog, + ) = await validate_cube( + session, + data.metrics or [], + data.dimensions or [], + require_dimensions=False, + ) + status = ( + NodeStatus.VALID + if ( + all(metric.current.status == NodeStatus.VALID for metric in metric_nodes) + and all(dim.current.status == NodeStatus.VALID for dim in dimension_nodes) + ) + else NodeStatus.INVALID + ) + + # Build the "columns" for this node based on the cube elements. These are used + # for marking partition columns when the cube gets materialized. + node_columns = [] + dimension_to_roles_mapping = map_dimensions_to_roles(data.dimensions or []) + for idx, col in enumerate(metric_columns + dimension_columns): + await session.refresh(col, ["node_revision"]) + referenced_node = col.node_revision + full_element_name = ( + referenced_node.name # type: ignore + if referenced_node.type == NodeType.METRIC # type: ignore + else f"{referenced_node.name}.{col.name}" # type: ignore + ) + node_column = Column( + name=full_element_name, + display_name=referenced_node.display_name + if referenced_node.type == NodeType.METRIC + else col.display_name, + type=col.type, + attributes=[ + ColumnAttribute(attribute_type_id=attr.attribute_type_id) + for attr in col.attributes + ], + order=idx, + ) + if ( + full_element_name in dimension_to_roles_mapping + and dimension_to_roles_mapping[full_element_name] + ): + node_column.dimension_column = ( + "[" + dimension_to_roles_mapping[full_element_name] + "]" + ) + + node_columns.append(node_column) + + node_revision = NodeRevision( + name=data.name, + display_name=data.display_name or labelize(data.name.split(SEPARATOR)[-1]), + description=data.description, + type=NodeType.CUBE, + query="", + columns=node_columns, + cube_elements=metric_columns + dimension_columns, + parents=list(set(dimension_nodes + metric_nodes)), + status=status, + catalog=catalog, + created_by_id=current_user.id, + mode=data.mode, + ) + return node_revision + + +async def derive_frozen_measures(node_revision_id: int) -> list[FrozenMeasure]: + """ + Find or create frozen measures for a metric. + + For base metrics: extracts aggregation components from the metric query. + For derived metrics: collects components from referenced base metrics. + """ + async with session_context() as session: + node_revision = cast( + NodeRevision, + await NodeRevision.get_by_id( + session=session, + node_revision_id=node_revision_id, + options=[ + joinedload(NodeRevision.parents).joinedload(Node.current), + ], + ), + ) + if not node_revision: + return [] # pragma: no cover + + frozen_measures: list[FrozenMeasure] = [] + if not node_revision.parents: + return frozen_measures # pragma: no cover + + # Extract components using the node revision ID + # The extractor will automatically detect base vs derived metrics + extractor = MetricComponentExtractor(node_revision.id) + measures, derived_sql = await extractor.extract(session) + + node_revision.derived_expression = str(derived_sql) + + # Use the first direct parent for the frozen measure upstream_revision_id + await session.refresh(node_revision.parents[0], ["current"]) + upstream_revision_id = node_revision.parents[0].current.id + + for measure in measures: + frozen_measure = await FrozenMeasure.get_by_name( + session=session, + name=measure.name, + ) + if not frozen_measure and measure.aggregation: + frozen_measure = FrozenMeasure( + name=measure.name, + upstream_revision_id=upstream_revision_id, + expression=measure.expression, + aggregation=measure.aggregation, + rule=measure.rule, + used_by_node_revisions=[], + ) + session.add(frozen_measure) + if frozen_measure: + frozen_measure.used_by_node_revisions.append(node_revision) + frozen_measures.append(frozen_measure) + await session.commit() + return frozen_measures + + +async def save_node( + session: AsyncSession, + node_revision: NodeRevision, + node: Node, + node_mode: NodeMode, + current_user: User, + save_history: Callable, +): + """ + Saves the newly created node revision + Links the node and node revision together and saves them + """ + node_revision.node = node + node_revision.version = ( + str(DEFAULT_DRAFT_VERSION) + if node_mode == NodeMode.DRAFT + else str(DEFAULT_PUBLISHED_VERSION) + ) + node.current_version = node_revision.version + node_revision.extra_validation() + node.owners.append(current_user) + + session.add(node) + await save_history( + event=History( + node=node.name, + entity_type=EntityType.NODE, + entity_name=node.name, + activity_type=ActivityType.CREATE, + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(node, ["current"]) + newly_valid_nodes = await resolve_downstream_references( + session=session, + node_revision=node_revision, + current_user=current_user, + save_history=save_history, + ) + await propagate_valid_status( + session=session, + valid_nodes=newly_valid_nodes, + catalog_id=node.current.catalog_id, + current_user=current_user, + save_history=save_history, + ) + await session.refresh(node.current) + + +async def copy_to_new_node( + session: AsyncSession, + existing_node_name: str, + new_name: str, + current_user: User, + save_history: Callable, +) -> Node: + """ + Copies the existing node to a new node with a new name. + """ + node = await Node.get_by_name( + session, + existing_node_name, + options=[ + joinedload(Node.current).options( + *NodeRevision.default_load_options(), + joinedload(NodeRevision.missing_parents), + ), + joinedload(Node.tags), + ], + ) + old_revision = node.current # type: ignore + new_node = Node( + name=new_name, + type=node.type, # type: ignore + display_name=node.display_name, # type: ignore + namespace=".".join(new_name.split(".")[:-1]), + current_version=node.current_version, # type: ignore + created_at=node.created_at, # type: ignore + deactivated_at=node.deactivated_at, # type: ignore + tags=node.tags, # type: ignore + missing_table=node.missing_table, # type: ignore + created_by_id=current_user.id, + owners=[current_user], + ) + new_revision = NodeRevision( + name=new_name, + display_name=old_revision.display_name, + type=old_revision.type, + description=old_revision.description, + query=old_revision.query, + mode=old_revision.mode, + version=old_revision.version, + node=new_node, + catalog=old_revision.catalog, + schema_=old_revision.schema_, + table=old_revision.table, + required_dimensions=list(old_revision.required_dimensions), + metric_metadata=old_revision.metric_metadata, + cube_elements=list(old_revision.cube_elements), + status=old_revision.status, + parents=old_revision.parents, + missing_parents=[ + MissingParent(name=missing_parent.name) + for missing_parent in old_revision.missing_parents + ], + columns=[col.copy() for col in old_revision.columns], + # TODO: availability and materializations are missing here + lineage=old_revision.lineage, + created_by_id=current_user.id, + custom_metadata=old_revision.custom_metadata, + ) + + # Assemble new dimension links, where each link will need to have their join SQL rewritten + new_dimension_links = [] + for link in old_revision.dimension_links: + join_ast = link.join_sql_ast() + for col in join_ast.find_all(ast.Column): + if str(col.alias_or_name.namespace) == old_revision.name: + col.alias_or_name.namespace = ast.Name(new_name) + new_join_sql = str( + join_ast.select.from_.relations[-1].extensions[-1].criteria.on, + ) + new_dimension_links.append( + DimensionLink( + node_revision=new_revision, + dimension_id=link.dimension_id, + join_sql=new_join_sql, + join_type=link.join_type, + join_cardinality=link.join_cardinality, + materialization_conf=link.materialization_conf, + ), + ) + new_revision.dimension_links = new_dimension_links + + # Reset the version of the new node + new_revision.version = ( + str(DEFAULT_DRAFT_VERSION) + if new_revision.mode == NodeMode.DRAFT + else str(DEFAULT_PUBLISHED_VERSION) + ) + new_node.current_version = new_revision.version + session.add(new_revision) + session.add(new_node) + await session.commit() + await save_history( + event=History( + node=new_node.name, + entity_type=EntityType.NODE, + entity_name=new_node.name, + activity_type=ActivityType.CREATE, + user=current_user.username, + details={"copied_from": node.name}, # type: ignore + ), + session=session, + ) + await session.refresh(new_node, ["current"]) # type: ignore + + # If the new node makes any downstream nodes valid, propagate + newly_valid_nodes = await resolve_downstream_references( + session=session, + node_revision=new_revision, + current_user=current_user, + save_history=save_history, + ) + await propagate_valid_status( + session=session, + valid_nodes=newly_valid_nodes, + catalog_id=new_node.current.catalog_id, # type: ignore + current_user=current_user, + save_history=save_history, + ) + await session.refresh(new_node, ["current"]) # type: ignore + return node # type: ignore + + +async def update_any_node( + name: str, + data: UpdateNode, + session: AsyncSession, + request_headers: Dict[str, str], + query_service_client: QueryServiceClient, + current_user: User, + save_history: Callable, + background_tasks: BackgroundTasks = None, + access_checker: AccessChecker = None, + refresh_materialization: bool = False, + cache: Cache | None = None, +) -> Node: + """ + Node update helper function that handles updating any node + """ + node = await Node.get_by_name( + session, + name, + for_update=True, + include_inactive=True, + options=[ + selectinload(Node.current).options(*NodeRevision.default_load_options()), + selectinload(Node.owners), + ], + raise_if_not_exists=True, + ) + node = cast(Node, node) + + if data.owners and data.owners != [owner.username for owner in node.owners]: + await update_owners(session, node, data.owners, current_user, save_history) + + if node.type == NodeType.CUBE: # type: ignore + node = await Node.get_cube_by_name(session, name) + node_revision = await update_cube_node( + session, + node.current, # type: ignore + data, + request_headers=request_headers, + query_service_client=query_service_client, + current_user=current_user, + background_tasks=background_tasks, + access_checker=access_checker, # type: ignore + save_history=save_history, + refresh_materialization=refresh_materialization, + ) + return node_revision.node if node_revision else node + return await update_node_with_query( + name, + data, + session, + request_headers=request_headers, + query_service_client=query_service_client, + current_user=current_user, + background_tasks=background_tasks, + access_checker=access_checker, # type: ignore + save_history=save_history, + cache=cache, + ) + + +async def update_node_with_query( + name: str, + data: UpdateNode, + session: AsyncSession, + *, + request_headers: Dict[str, str], + query_service_client: QueryServiceClient, + current_user: User, + background_tasks: BackgroundTasks, + access_checker: AccessChecker, + save_history: Callable, + cache: Cache, +) -> Node: + """ + Update the named node with the changes defined in the UpdateNode object. + Propagate these changes to all of the node's downstream children. + + Note: this function works for both source nodes and nodes with query (transforms, + dimensions, metrics). We should update it to separate out the logic for source nodes + """ + node = await Node.get_by_name( + session, + name, + options=[ + joinedload(Node.current).options(*NodeRevision.default_load_options()), + selectinload(Node.owners), + ], + include_inactive=True, + ) + node = cast(Node, node) + old_revision = node.current # type: ignore + new_revision = await create_new_revision_from_existing( + session=session, + old_revision=old_revision, + node=node, # type: ignore + current_user=current_user, + data=data, + ) + + if not new_revision: + return node # type: ignore + + # Disable autoflush to prevent partial state from being persisted if an error + # occurs during revision creation. This ensures that node.current_version and + # the new NodeRevision are committed atomically. + with session.no_autoflush: + node.current_version = new_revision.version # type: ignore + + new_revision.extra_validation() + + session.add(new_revision) + session.add(node) + await save_history( + event=node_update_history_event(new_revision, current_user), + session=session, + ) + + if new_revision.status != old_revision.status: # type: ignore + await save_history( + event=status_change_history( + new_revision, # type: ignore + old_revision.status, + new_revision.status, # type: ignore + current_user=current_user, + ), + session=session, + ) + await session.commit() + + await session.refresh(new_revision) + await session.refresh(node) + + # Handle materializations: Note that this must be done after we commit the new revision, + # as otherwise the SQL build won't know about the new revision's query + await session.refresh(old_revision, ["materializations"]) + await session.refresh(old_revision, ["columns"]) + active_materializations = [ + mat for mat in old_revision.materializations if not mat.deactivated_at + ] + + await session.refresh(new_revision, ["materializations"]) + if active_materializations and new_revision.query != old_revision.query: + for old in active_materializations: + new_revision.materializations.append( + await create_new_materialization( + session, + new_revision, + UpsertMaterialization( # type: ignore + name=old.name, + config=old.config, + schedule=old.schedule, + strategy=old.strategy, + job=MaterializationJobTypeEnum.find_match(old.job).value.name, + ) + if old.job != MaterializationJobTypeEnum.DRUID_CUBE.value.job_class + else ( + UpsertCubeMaterialization( + job=MaterializationJobTypeEnum.find_match( + old.job, + ).value.name, + strategy=old.strategy, + schedule=old.schedule, + lookback_window=old.lookback_window, + ) + ), + access_checker, + current_user=current_user, + ), + ) + background_tasks.add_task( + schedule_materialization_jobs_bg, + node_revision_id=node.current.id, # type: ignore + materialization_names=[ + mat.name + for mat in node.current.materializations # type: ignore + ], + query_service_client=query_service_client, + request_headers=request_headers, + ) + session.add(new_revision) + await session.commit() + + if background_tasks: # pragma: no cover + background_tasks.add_task( + save_column_level_lineage, + node_revision_id=new_revision.id, + ) + # TODO: Do not save this until: + # 1. We get to the bottom of why there are query building discrepancies + # 2. We audit our database calls to defer pulling the query_ast in most cases + # background_tasks.add_task( + # save_query_ast, + # session=session, + # node_name=new_revision.name, + # ) + + history_events = {} + old_columns_map = {col.name: col.type for col in old_revision.columns} + + await session.refresh(new_revision, ["columns"]) + await session.refresh(old_revision) + history_events[node.name] = { # type: ignore + "name": node.name, # type: ignore + "current_version": node.current_version, # type: ignore + "previous_version": old_revision.version, + "updated_columns": [ + col.name + for col in new_revision.columns # type: ignore + if col.name not in old_columns_map or old_columns_map[col.name] != col.type + ], + } + + background_tasks.add_task( + propagate_update_downstream, + node, + current_user=current_user, + save_history=save_history, + cache=cache, + ) + await session.refresh(node, ["current"]) + await session.refresh(node.current, ["materializations"]) # type: ignore + await session.refresh(node, ["owners"]) # type: ignore + return node # type: ignore + + +async def update_owners( + session: AsyncSession, + node: Node, + new_owner_usernames: list[str], + current_user: "User", + save_history: Callable, +): + """ + Update the owners of this node to match the given usernames. + """ + from datajunction_server.internal.history import ActivityType, EntityType + + existing_owners = node.owners + users = await User.get_by_usernames(session, usernames=new_owner_usernames) + node.owners = users + session.add(node) + + event = History( + entity_type=EntityType.NODE, + entity_name=node.name, + node=node.name, + activity_type=ActivityType.UPDATE, + details={ + "version": node.current_version, + "old_owners": [owner.username for owner in existing_owners], + "new_owners": [owner.username for owner in node.owners], # type: ignore + }, + user=current_user.username, + ) + await save_history( + event=event, + session=session, + ) + await session.commit() + + +def has_minor_changes( + old_revision: NodeRevision, + data: UpdateNode, +): + """ + Whether the node has minor changes + """ + return ( + ( + data + and data.description + and old_revision.description + and (old_revision.description != data.description) + ) + or (data and data.mode and old_revision.mode != data.mode) + or ( + data + and data.display_name + and old_revision.display_name != data.display_name + ) + ) + + +def node_update_history_event(new_revision: NodeRevision, current_user: User): + """ + History event for node updates + """ + return History( + entity_type=EntityType.NODE, + entity_name=new_revision.name, + node=new_revision.name, + activity_type=ActivityType.UPDATE, + details={ + "version": new_revision.version, # type: ignore + }, + user=current_user.username, + ) + + +async def update_cube_node( + session: AsyncSession, + node_revision: NodeRevision, + data: UpdateNode, + *, + request_headers: Dict[str, str], + query_service_client: QueryServiceClient, + current_user: User, + background_tasks: BackgroundTasks = None, + access_checker: AccessChecker, + save_history: Callable, + refresh_materialization: bool = False, +) -> Optional[NodeRevision]: + """ + Update cube node based on changes + """ + node = await Node.get_cube_by_name(session, node_revision.name) + node_revision = node.current # type: ignore + minor_changes = has_minor_changes(node_revision, data) or refresh_materialization + old_metrics = [m.name for m in node_revision.cube_metrics()] + old_dimensions = node_revision.cube_dimensions() + major_changes = (data.metrics and data.metrics != old_metrics) or ( + data.dimensions and data.dimensions != old_dimensions + ) + create_cube = CreateCubeNode( + name=node_revision.name, + display_name=data.display_name or node_revision.display_name, + description=data.description or node_revision.description, + metrics=data.metrics or old_metrics, + dimensions=data.dimensions or old_dimensions, + mode=data.mode or node_revision.mode, + filters=data.filters or [], + orderby=data.orderby or None, + limit=data.limit or None, + ) + if not major_changes and not minor_changes: + return None + + # Disable autoflush to prevent partial state from being persisted if an error + # occurs during revision creation. This ensures that node.current_version and + # the new NodeRevision are committed atomically - either both succeed or both + # fail, preventing data integrity issues where a node points to a non-existent + # revision. + with session.no_autoflush: + new_cube_revision = await create_cube_node_revision( + session, + create_cube, + current_user, + ) + + old_version = Version.parse(node_revision.version) + if major_changes: + new_cube_revision.version = str(old_version.next_major_version()) + elif minor_changes: # pragma: no cover + new_cube_revision.version = str(old_version.next_minor_version()) + new_cube_revision.node = node_revision.node + new_cube_revision.node.current_version = new_cube_revision.version # type: ignore + + await save_history( + event=History( + entity_type=EntityType.NODE, + entity_name=new_cube_revision.name, + node=new_cube_revision.name, + activity_type=ActivityType.UPDATE, + details={ + "version": new_cube_revision.version, # type: ignore + }, + pre={ + "metrics": old_metrics, + "dimensions": old_dimensions, + }, + post={ + "metrics": new_cube_revision.cube_node_metrics, + "dimensions": new_cube_revision.cube_node_dimensions, + }, + user=current_user.username, + ), + session=session, + ) + + # Bring over existing partition columns, if any + new_columns_mapping = {col.name: col for col in new_cube_revision.columns} + for col in node_revision.columns: + new_col = new_columns_mapping.get(col.name) + if col.partition and new_col: + new_col.partition = Partition( + column=new_col, + type_=col.partition.type_, + format=col.partition.format, + granularity=col.partition.granularity, + ) + + # Note: Materializations are NOT auto-recreated on cube update. + # Users should explicitly set up materializations for the new cube version + # after updating the cube definition. + + # Notify if the old revision had active materializations that won't be migrated + active_materializations = [ + mat + for mat in node_revision.materializations + if not mat.deactivated_at and mat.name != "default" + ] + if active_materializations: + await save_history( + event=History( + entity_type=EntityType.MATERIALIZATION, + entity_name=node_revision.name, + node=node_revision.name, + activity_type=ActivityType.STATUS_CHANGE, + details={ + "message": ( + f"Cube updated to {new_cube_revision.version}. " + "Active materializations from the previous version were not migrated. " + "Please reconfigure materializations if you want to continue " + "materializing this cube." + ), + "previous_version": node_revision.version, + "new_version": new_cube_revision.version, + "invalidated_materializations": [ + mat.name for mat in active_materializations + ], + }, + user=current_user.username, + ), + session=session, + ) + + session.add(new_cube_revision) + session.add(new_cube_revision.node) + await session.commit() + + await session.refresh(new_cube_revision) + await session.refresh(new_cube_revision.node) + await session.refresh(new_cube_revision.node.current) + return new_cube_revision + + +async def propagate_update_downstream( + node: Node, + current_user: User, + save_history: Callable, + cache: Cache | None = None, +): + """ + Background task to propagate the updated node's changes to all of its downstream children. + """ + async with session_context() as session: + await _propagate_update_downstream( + session=session, + node=node, + current_user=current_user, + save_history=save_history, + cache=cache, + ) + + +async def _propagate_update_downstream( + session: AsyncSession, + node: Node, + current_user: User, + save_history: Callable, + cache: Cache | None = None, +): + """ + Propagate the updated node's changes to all of its downstream children. + Some potential changes to the upstream node and their effects on downstream nodes: + - altered column names: may invalidate downstream nodes + - altered column types: may invalidate downstream nodes + - new columns: won't affect downstream nodes + """ + _logger.info("Propagating update of node %s downstream", node.name) + downstreams = await get_downstream_nodes( + session, + node.name, + include_deactivated=False, + include_cubes=False, + ) + downstreams = topological_sort(downstreams) + _logger.info( + "Node %s updated — revalidating %s downstreams", + node.name, + len(downstreams), + ) + + # The downstreams need to be sorted topologically in order for the updates to be done + # in the right order. Otherwise it is possible for a leaf node like a metric to be updated + # before its upstreams are updated. + for idx, downstream in enumerate(downstreams): + original_node_revision = downstream.current + previous_status = original_node_revision.status + _logger.info( + "[%s/%s] Revalidating downstream %s due to update of node %s", + idx + 1, + len(downstreams), + downstream.name, + node.name, + ) + node_validator = await revalidate_node( + downstream.name, + session, + current_user=current_user, + save_history=save_history, + ) + + # Reset the upstreams DAG cache of any downstream nodes + if cache: + upstream_cache_key = downstream.upstream_cache_key() + results = cache.get(upstream_cache_key) + if results is not None: + _logger.info( + "Clearing upstream cache for node %s due to update of node %s (cache key: %s)", + downstream.name, + node.name, + upstream_cache_key, + ) + cache.delete(upstream_cache_key) + + # Record history event + if ( + original_node_revision.version != downstream.current_version + or previous_status != node_validator.status + ): + await save_history( + event=History( + entity_type=EntityType.NODE, + entity_name=downstream.name, + node=downstream.name, + activity_type=ActivityType.UPDATE, + details={ + "changes": { + "updated_columns": sorted( + list(node_validator.updated_columns), + ), + }, + "upstream": { + "node": node.name, + "version": node.current_version, + }, + "reason": f"Caused by update of `{node.name}` to " + f"{node.current_version}", + }, + pre={ + "status": previous_status, + "version": original_node_revision.version, + }, + post={ + "status": node_validator.status, + "version": downstream.current_version, + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + + +def copy_existing_node_revision(old_revision: NodeRevision, current_user: User): + """ + Create an exact copy of the node revision + """ + return NodeRevision( + name=old_revision.name, + version=old_revision.version, + display_name=old_revision.display_name, + description=old_revision.description, + query=old_revision.query, + type=old_revision.type, + columns=[col.copy() for col in old_revision.columns], + catalog=old_revision.catalog, + schema_=old_revision.schema_, + table=old_revision.table, + parents=old_revision.parents, + mode=old_revision.mode, + materializations=old_revision.materializations, + status=old_revision.status, + required_dimensions=list(old_revision.required_dimensions), + metric_metadata=old_revision.metric_metadata, + dimension_links=[ + DimensionLink( + dimension_id=link.dimension_id, + join_sql=link.join_sql, + join_type=link.join_type, + join_cardinality=link.join_cardinality, + role=link.role, + materialization_conf=link.materialization_conf, + ) + for link in old_revision.dimension_links + ], + created_by_id=current_user.id, + custom_metadata=old_revision.custom_metadata, + ) + + +async def create_node_from_inactive( + new_node_type: NodeType, + data: Union[CreateSourceNode, CreateNode, CreateCubeNode], + session: AsyncSession, + *, + current_user: User, + request_headers: Dict[str, str], + query_service_client: QueryServiceClient, + save_history: Callable, + background_tasks: BackgroundTasks = None, + access_checker: AccessChecker = None, + cache: Cache | None = None, +) -> Optional[Node]: + """ + If the node existed and is inactive the re-creation takes different steps than + creating it from scratch. + """ + previous_inactive_node = await Node.get_by_name( + session, + data.name, + options=[ + joinedload(Node.current).options(*NodeRevision.default_load_options()), + ], + raise_if_not_exists=False, + include_inactive=True, + ) + if previous_inactive_node and previous_inactive_node.deactivated_at: + if previous_inactive_node.type != new_node_type: + raise DJInvalidInputException( # pragma: no cover + message=f"A node with name `{data.name}` of a `{previous_inactive_node.type.value}` " + "type existed before. If you want to re-create it with a different type, " + "you need to remove all traces of the previous node with a hard delete call: " + "DELETE /nodes/{node_name}/hard", + http_status_code=HTTPStatus.CONFLICT, + ) + if new_node_type != NodeType.CUBE: + update_node = UpdateNode( + # MutableNodeFields + display_name=data.display_name, + description=data.description, + mode=data.mode, + ) + if isinstance(data, CreateSourceNode): + update_node.catalog = data.catalog + update_node.schema_ = data.schema_ + update_node.table = data.table + update_node.columns = data.columns + update_node.missing_table = data.missing_table + + if isinstance(data, CreateNode): + update_node.query = data.query + + await update_node_with_query( + name=data.name, + data=update_node, + session=session, + request_headers=request_headers, + query_service_client=query_service_client, + current_user=current_user, + background_tasks=background_tasks, + access_checker=access_checker, # type: ignore + save_history=save_history, + cache=cache, + ) + else: + await update_cube_node( + session, + previous_inactive_node.current, + data, + request_headers=request_headers, + query_service_client=query_service_client, + current_user=current_user, + background_tasks=background_tasks, + access_checker=access_checker, # type: ignore + save_history=save_history, + ) + try: + await activate_node( + name=data.name, + session=session, + current_user=current_user, + save_history=save_history, + ) + return await get_node_by_name(session, data.name, with_current=True) + except Exception as exc: # pragma: no cover + raise DJException( + f"Restoring node `{data.name}` failed: {exc}", + ) from exc + + return None + + +async def create_new_revision_from_existing( + session: AsyncSession, + old_revision: NodeRevision, + node: Node, + current_user: User, + data: UpdateNode = None, + version_upgrade: VersionUpgrade = None, +) -> Optional[NodeRevision]: + """ + Creates a new revision from an existing node revision. + """ + # minor changes + minor_changes = ( + (data and data.description and old_revision.description != data.description) + or (data and data.mode and old_revision.mode != data.mode) + or ( + data + and data.display_name + and old_revision.display_name != data.display_name + ) + or ( + data + and data.metric_metadata + and old_revision.metric_metadata != data.metric_metadata + ) + or ( + data + and hasattr(data, "custom_metadata") + and old_revision.custom_metadata != data.custom_metadata + ) + ) + + # major changes + query_changes = ( + old_revision.type != NodeType.SOURCE + and data + and data.query + and old_revision.query != data.query + ) + column_changes = ( + old_revision.type == NodeType.SOURCE + and data + and data.columns + and ({col.identifier() for col in old_revision.columns} != data.columns) + ) + pk_changes = data and ( + data.primary_key == [] + and len(old_revision.primary_key()) + or {col.name for col in old_revision.primary_key()} + != set(data.primary_key or []) + ) + required_dim_changes = ( + data + and isinstance(data.required_dimensions, list) + and {col.name for col in old_revision.required_dimensions} + != set(data.required_dimensions) + ) + major_changes = ( + query_changes or column_changes or pk_changes or required_dim_changes + ) + + # If nothing has changed, do not create the new node revision + if not minor_changes and not major_changes and not version_upgrade: + return None + + old_version = Version.parse(node.current_version) + new_mode = data.mode if data and data.mode else old_revision.mode + new_revision = NodeRevision( + name=old_revision.name, + node_id=node.id, + version=str( + old_version.next_major_version() + if major_changes or version_upgrade == VersionUpgrade.MAJOR + else old_version.next_minor_version(), + ), + display_name=( + data.display_name + if data and data.display_name + else old_revision.display_name + ), + description=( + data.description if data and data.description else old_revision.description + ), + query=(data.query if data and data.query else old_revision.query), + type=old_revision.type, + columns=[ + Column( + name=column_data.name.lower() + if node.type != NodeType.METRIC + else column_data.name, + type=column_data.type, + dimension_column=column_data.dimension, + attributes=column_data.attributes or [], + order=idx, + ) + for idx, column_data in enumerate(data.columns) + ] + if data and data.columns + else [col.copy() for col in old_revision.columns], + catalog=old_revision.catalog, + schema_=old_revision.schema_, + table=old_revision.table, + parents=[], + mode=new_mode, + materializations=[], + status=old_revision.status, + metric_metadata=( + MetricMetadata.from_input(data.metric_metadata) + if data and data.metric_metadata + else old_revision.metric_metadata + ), + dimension_links=[ + DimensionLink( + dimension_id=link.dimension_id, + join_sql=link.join_sql, + join_type=link.join_type, + join_cardinality=link.join_cardinality, + materialization_conf=link.materialization_conf, + ) + for link in old_revision.dimension_links + ], + created_by_id=current_user.id, + custom_metadata=old_revision.custom_metadata, + ) + + # Set the node_revision relationship on copied columns + for col in new_revision.columns: + col.node_revision = new_revision + + if data and data.required_dimensions is not None: # type: ignore + new_revision.required_dimensions = data.required_dimensions # type: ignore + + if data and data.custom_metadata is not None: # type: ignore + new_revision.custom_metadata = data.custom_metadata + + # Link the new revision to its parents if a new revision was created and update its status + if new_revision.type != NodeType.SOURCE: + node_validator = await validate_node_data(new_revision, session) + new_revision.columns = node_validator.columns + new_revision.status = node_validator.status + + # Re-establish column relationships after validation overwrites them + for col in new_revision.columns: + col.node_revision = new_revision + if node_validator.errors: + if new_mode == NodeMode.DRAFT: + new_revision.status = NodeStatus.INVALID + else: + raise DJException( + http_status_code=HTTPStatus.BAD_REQUEST, + errors=node_validator.errors, + ) + + # Update dimension links based on new columns + new_column_names = {col.name for col in new_revision.columns} + new_revision.dimension_links = [ + link + for link in old_revision.dimension_links + if link.foreign_key_column_names.intersection(new_column_names) + ] + + new_parents = [n.name for n in node_validator.dependencies_map] + parent_refs = ( + ( + await session.execute( + select(Node) + .where( + Node.name.in_( # type: ignore + new_parents, + ), + ) + .options(joinedload(Node.current)), + ) + ) + .unique() + .scalars() + .all() + ) + new_revision.parents = list(parent_refs) + catalogs = [ + parent.current.catalog_id + for parent in parent_refs + if parent.current.catalog_id + ] + if catalogs: + new_revision.catalog_id = catalogs[0] + new_revision.columns = node_validator.columns or [] + if new_revision.type == NodeType.METRIC and new_revision.columns: + new_revision.columns[0].display_name = new_revision.display_name + + # Update the primary key if one was set in the input + if data is not None and (data.primary_key or data.primary_key == []): + pk_attribute = ( + await session.execute( + select(AttributeType).where( + AttributeType.name == ColumnAttributes.PRIMARY_KEY.value, + ), + ) + ).scalar_one() + if set(data.primary_key) - set(col.name for col in new_revision.columns): + raise DJInvalidInputException( # pragma: no cover + f"Primary key {data.primary_key} does not exist on {new_revision.name}", + ) + for col in new_revision.columns: + # Remove the primary key attribute if it's not in the updated PK + if col.has_primary_key_attribute() and col.name not in data.primary_key: + col.attributes = [ + attr + for attr in col.attributes + if attr.attribute_type.name + != ColumnAttributes.PRIMARY_KEY.value + ] + # Add (or keep) the primary key attribute if it is in the updated PK + if col.name in data.primary_key and not col.has_primary_key_attribute(): + col.attributes.append( + ColumnAttribute(column=col, attribute_type=pk_attribute), + ) + + # Update the required dimensions if one was set in the input and the node is a metric + if node_validator.required_dimensions and new_revision.type == NodeType.METRIC: + new_revision.required_dimensions = node_validator.required_dimensions + + # Set the node's validity status + invalid_primary_key = ( + new_revision.type == NodeType.DIMENSION and not new_revision.primary_key() + ) + if invalid_primary_key: + new_revision.status = NodeStatus.INVALID + + new_revision.missing_parents = [ + MissingParent(name=missing_parent) + for missing_parent in node_validator.missing_parents_map + ] + _logger.info( + "Parent nodes for %s (v%s): %s", + new_revision.name, + new_revision.version, + [p.name for p in new_revision.parents], + ) + return new_revision + + +async def save_column_level_lineage(node_revision_id: int): + """ + Saves the column-level lineage for a node revision + """ + async with session_context() as session: + statement = ( + select(NodeRevision) + .where(NodeRevision.id == node_revision_id) + .options( + selectinload(NodeRevision.columns), + ) + ) + node_revision = (await session.execute(statement)).unique().scalar_one_or_none() + if node_revision: # pragma: no cover + column_level_lineage = await get_column_level_lineage( + session, + node_revision, + ) + node_revision.lineage = [ + lineage.model_dump() for lineage in column_level_lineage + ] + session.add(node_revision) + await session.commit() + + +async def save_query_ast( # pragma: no cover + session: AsyncSession, + node_name: str, +): + """ + Compile and save query AST for a node + """ + node = await Node.get_by_name(session, node_name) + + if ( + node + and node.current.query + and node.type + in { + NodeType.TRANSFORM, + NodeType.DIMENSION, + } + ): + node.current.query_ast = await compile_node_ast(session, node.current) + + session.add(node.current) # type: ignore + await session.commit() + + +async def get_column_level_lineage( + session: AsyncSession, + node_revision: NodeRevision, +) -> List[LineageColumn]: + """ + Gets the column-level lineage for the node + """ + if node_revision.status == NodeStatus.VALID and node_revision.type not in ( + NodeType.SOURCE, + NodeType.CUBE, + ): + return [ + await column_lineage( + session, + node_revision, + col.name, + ) + for col in node_revision.columns + ] + return [] + + +async def column_lineage( + session: AsyncSession, + node_rev: NodeRevision, + column_name: str, +) -> LineageColumn: + """ + Helper function to determine the lineage for a column on a node. + """ + if node_rev.type == NodeType.SOURCE: + return LineageColumn( + node_name=node_rev.name, + node_type=node_rev.type, + display_name=node_rev.display_name, + column_name=column_name, + lineage=[], + ) + + ctx = CompileContext(session, DJException()) + query = ( + NodeRevision.format_metric_alias( + node_rev.query, # type: ignore + node_rev.name, + ) + if node_rev.type == NodeType.METRIC + else node_rev.query + ) + query_ast = parse(query) + await query_ast.compile(ctx) + query_ast.select.add_aliases_to_unnamed_columns() + + lineage_column = LineageColumn( + column_name=column_name, + node_name=node_rev.name, + node_type=node_rev.type, + display_name=node_rev.display_name, + lineage=[], + ) + + # Find the expression AST for the column on the node + column = [ + col + for col in query_ast.select.projection + if ( # pragma: no cover + col != ast.Null() and col.alias_or_name.name.lower() == column_name.lower() # type: ignore + ) + ][0] + column_or_child = column.child if isinstance(column, ast.Alias) else column # type: ignore + column_expr = ( + column_or_child.expression # type: ignore + if hasattr(column_or_child, "expression") + else column_or_child + ) + + # At every layer, expand the lineage search tree with all columns referenced + # by the current column's expression. If we reach an actual table with a DJ + # node attached, save this to the lineage record. Otherwise, continue the search + processed = list(column_expr.find_all(ast.Column)) if column_expr else [] + seen = set() + while processed: + current = processed.pop() + if current in seen: + continue + if ( + hasattr(current, "table") + and isinstance(current.table, ast.Table) + and current.table.dj_node + ): + lineage_column.lineage.append( # type: ignore + await column_lineage( + session, + current.table.dj_node, + current.name.name + if not current.is_struct_ref + else current.struct_column_name, + ), + ) + else: + expr_column_deps = ( + list( + current.expression.find_all(ast.Column), + ) + if current.expression + else [] + ) + for col_dep in expr_column_deps: + processed.append(col_dep) + seen.update({current}) + return lineage_column + + +async def get_single_cube_revision_metadata( + session: AsyncSession, + name: str, + version: str | None = None, +) -> CubeRevisionMetadata: + """ + Returns cube revision metadata for a single cube named `name`. + """ + cube = await NodeRevision.get_cube_revision(session, name=name, version=version) + if not cube: + raise DJNodeNotFound( # pragma: no cover + message=( + f"A cube node with name `{name}` does not exist." + if not version + else f"A cube node with name `{name}` and version `{version}` does not exist." + ), + http_status_code=404, + ) + return CubeRevisionMetadata.from_cube_revision(cube) + + +async def get_all_cube_revisions_metadata( + session: AsyncSession, + catalog: str | None = None, + page: int = 1, + page_size: int = 10, +) -> list[CubeRevisionMetadata]: + """ + Returns cube revision metadata for the latest version of all cubes, with pagination. + Optionally filters by the catalog in which the cube is available. + """ + cubes = await NodeRevision.get_cube_revisions( + session=session, + catalog=catalog, + page=page, + page_size=page_size, + ) + return [CubeRevisionMetadata.from_cube_revision(cube) for cube in cubes] + + +async def validate_complex_dimension_link( + session: AsyncSession, + node: Node, + dimension_node: Node, + link_input: JoinLinkInput, + dependencies_cache: dict[str, Node] | None = None, +) -> ast.Join: + """ + Validate that a set of dimension links are valid + """ + if not dependencies_cache: + dependencies_cache = {} # pragma: no cover + if node.type not in (NodeType.SOURCE, NodeType.DIMENSION, NodeType.TRANSFORM): # type: ignore + raise DJInvalidInputException( + message=f"Cannot link dimension to a node of type {node.type}. " # type: ignore + "Must be a source, dimension, or transform node.", + ) + if dimension_node.type != NodeType.DIMENSION: + raise DJInvalidInputException( + message=f"Cannot link dimension to a node of type {dimension_node.type}. " + "Must be a dimension node.", + ) + + if ( + dimension_node.current.catalog.name != settings.seed_setup.virtual_catalog_name # type: ignore + and dimension_node.current.catalog is not None # type: ignore + and node.current.catalog.name != dimension_node.current.catalog.name # type: ignore + ): + raise DJInvalidInputException( # pragma: no cover + message=( + "Cannot link dimension to node, because catalogs do not match: " + f"{node.current.catalog.name}, " # type: ignore + f"{dimension_node.current.catalog.name}" # type: ignore + ), + ) + + # Parse the join query and do some basic verification of its validity + join_query = parse( + f"SELECT 1 FROM {node.name} " + f"{link_input.join_type} JOIN {link_input.dimension_node} " + + (f"ON {link_input.join_on}" if link_input.join_on else ""), + ) + exc = DJException() + ctx = ast.CompileContext( + session=session, + exception=exc, + dependencies_cache=dependencies_cache, + ) + await join_query.compile(ctx) + join_relation = join_query.select.from_.relations[0].extensions[0] # type: ignore + + # Verify that the query references both the node and the dimension being joined + expected_references = {node.name, link_input.dimension_node} + references = ( + { + table.name.namespace.identifier() # type: ignore + for table in join_relation.criteria.on.find_all(ast.Column) # type: ignore + } + if join_relation.criteria + else {} + ) + if ( + expected_references.difference(references) + and link_input.join_type != JoinType.CROSS + ): + raise DJInvalidInputException( + f"The join SQL provided does not reference both the origin node {node.name} and the " + f"dimension node {link_input.dimension_node} that it's being joined to.", + ) + + # Verify that the columns in the ON clause exist on both nodes + if ctx.exception.errors: + raise DJInvalidInputException( + message=f"Join query {link_input.join_on} is not valid", + errors=ctx.exception.errors, + ) + return join_relation + + +async def upsert_complex_dimension_link( + session: AsyncSession, + node_name: str, + link_input: JoinLinkInput, + current_user: User, + save_history: Callable, +) -> ActivityType: + """ + Create or update a node-level dimension link. + + A dimension link is uniquely identified by the origin node, the dimension node being linked, + and the role, if any. If an existing dimension link identified by those fields already exists, + we'll update that dimension link. If no dimension link exists, we'll create a new one. + """ + node = cast( + Node, + await Node.get_by_name( + session, + node_name, + raise_if_not_exists=True, + ), + ) + dimension_node = cast( + Node, + await Node.get_by_name( + session, + link_input.dimension_node, + raise_if_not_exists=True, + ), + ) + join_relation = await validate_complex_dimension_link( + session, + node, + dimension_node, + link_input, + dependencies_cache={ + node_name: node, # type: ignore + link_input.dimension_node: dimension_node, # type: ignore + }, + ) + + # Create a new revision for the node to capture the dimension link changes in a new version + node = cast(Node, node) + new_revision = await create_new_revision_for_dimension_link_update( + session, + node, + current_user, + ) + + # Find an existing dimension link if there is already one defined for this node + existing_link = [ + link # type: ignore + for link in new_revision.dimension_links # type: ignore + if link.dimension_id == dimension_node.id and link.role == link_input.role # type: ignore + ] + activity_type = ActivityType.CREATE + + if existing_link: + # Update the existing dimension link + activity_type = ActivityType.UPDATE + dimension_link = existing_link[0] + dimension_link.join_sql = link_input.join_on + dimension_link.join_type = DimensionLink.parse_join_type( + join_relation.join_type, + ) + dimension_link.join_cardinality = link_input.join_cardinality + else: + # If there is no existing link, create new dimension link object + dimension_link = DimensionLink( + node_revision_id=new_revision.id, # type: ignore + dimension_id=dimension_node.id, # type: ignore + join_sql=link_input.join_on, + join_type=DimensionLink.parse_join_type(join_relation.join_type), + join_cardinality=link_input.join_cardinality, + role=link_input.role, + ) + new_revision.dimension_links.append(dimension_link) # type: ignore + + # Add/update the dimension link in the database + session.add(dimension_link) + session.add(new_revision) # type: ignore + await save_history( + event=History( + entity_type=EntityType.LINK, + entity_name=node.name, # type: ignore + node=node.name, # type: ignore + activity_type=activity_type, + details={ + "dimension": dimension_node.name, # type: ignore + "join_sql": link_input.join_on, + "join_cardinality": link_input.join_cardinality, + "role": link_input.role, + "version": node.current_version, + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(node) + return activity_type + + +async def upsert_simple_dimension_link( + session: AsyncSession, + name: str, + dimension: str, + column: str, + dimension_column: str | None, + current_user: User, + save_history: Callable, +) -> ActivityType: + """ + Create or update a simple node-level dimension link on a single column foreign key. + """ + + node = await Node.get_by_name( + session, + name, + raise_if_not_exists=True, + ) + dimension_node = await Node.get_by_name( + session, + dimension, + raise_if_not_exists=True, + ) + if dimension_node.type != NodeType.DIMENSION: # type: ignore # pragma: no cover + # pragma: no cover + raise DJInvalidInputException(f"Node {node.name} is not of type dimension!") # type: ignore + primary_key_columns = dimension_node.current.primary_key() # type: ignore + if len(primary_key_columns) > 1: + raise DJActionNotAllowedException( # pragma: no cover + "Cannot use this endpoint to link a dimension with a compound primary key.", + ) + + target_column = await get_column(session, node.current, column) # type: ignore + if dimension_column: + # Check that the dimension column exists + column_from_dimension = await get_column( + session, + dimension_node.current, # type: ignore + dimension_column, + ) + + # Check the dimension column's type is compatible with the target column's type + if not column_from_dimension.type.is_compatible(target_column.type): + raise DJInvalidInputException( + f"The column {target_column.name} has type {target_column.type} " + f"and is being linked to the dimension {dimension} via the dimension" + f" column {dimension_column}, which has type {column_from_dimension.type}." + " These column types are incompatible and the dimension cannot be linked", + ) + + link_input = JoinLinkInput( + dimension_node=dimension, + join_type=JoinType.LEFT, + join_on=( + f"{name}.{column} = {dimension_node.name}.{primary_key_columns[0].name}" # type: ignore + ), + ) + return await upsert_complex_dimension_link( + session, + name, + link_input, + current_user, + save_history, + ) + + +async def remove_dimension_link( + session: AsyncSession, + node_name: str, + link_identifier: LinkDimensionIdentifier, + current_user: User, + save_history: Callable, +): + """ + Removes the dimension link identified by the origin node, the dimension node, and its role. + """ + node = await Node.get_by_name(session, node_name) + + # Find the dimension node + dimension_node = await get_node_by_name( + session=session, + name=link_identifier.dimension_node, + node_type=NodeType.DIMENSION, + include_inactive=True, + ) + removed = False + + # Find cubes that are affected by this dimension link removal and update their statuses + downstream_cubes = await get_downstream_nodes( + session, + node_name, + node_type=NodeType.CUBE, + ) + for cube in downstream_cubes: + cube = cast(Node, await Node.get_cube_by_name(session, cube.name)) + cube_dimension_nodes = [ + cube_elem_node.name + for (element, cube_elem_node) in cube.current.cube_elements_with_nodes() + if cube_elem_node.type == NodeType.DIMENSION + ] + if dimension_node.name in cube_dimension_nodes: + cube.current.status = NodeStatus.INVALID + session.add(cube) + await save_history( + event=status_change_history( + cube.current, # type: ignore + NodeStatus.VALID, + NodeStatus.INVALID, + current_user=current_user, + ), + session=session, + ) + await session.commit() + + # Create a new revision for dimension link removal + node = cast(Node, node) + new_revision = await create_new_revision_for_dimension_link_update( + session, + node, + current_user, + ) + + # Delete the dimension link if one exists + for link in new_revision.dimension_links: # type: ignore + if ( + link.dimension_id == dimension_node.id # pragma: no cover + and link.role == link_identifier.role # pragma: no cover + ): + removed = True + await session.delete(link) + if not removed: + return JSONResponse( + status_code=HTTPStatus.NOT_FOUND, + content={ + "message": f"Dimension link to node {link_identifier.dimension_node} " + + (f"with role {link_identifier.role} " if link_identifier.role else "") + + "not found", + }, + ) + + await save_history( + event=History( + entity_type=EntityType.LINK, + entity_name=node.name, # type: ignore + node=node.name, # type: ignore + activity_type=ActivityType.DELETE, + details={ + "version": node.current_version, + "dimension": dimension_node.name, + "role": link_identifier.role, + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(new_revision) # type: ignore + await session.refresh(node) + return JSONResponse( + status_code=201, + content={ + "message": ( + f"Dimension link {link_identifier.dimension_node} " + + (f"(role {link_identifier.role}) " if link_identifier.role else "") + + f"to node {node_name} has been removed." + ) + if removed + else ( + f"Dimension link {link_identifier.dimension_node} " + + (f"(role {link_identifier.role}) " if link_identifier.role else "") + + f"to node {node_name} does not exist!" + ), + }, + ) + + +async def upsert_reference_dimension_link( + session: AsyncSession, + node_name: str, + node_column: str, + dimension_node: str, + dimension_column: str, + role: str | None, + current_user: User, + save_history: Callable, +): + node = await Node.get_by_name(session, node_name, raise_if_not_exists=True) + dim_node = await Node.get_by_name(session, dimension_node, raise_if_not_exists=True) + if dim_node.type != NodeType.DIMENSION: # type: ignore + raise DJInvalidInputException( + message=f"Node {node.name} is not of type dimension!", # type: ignore + ) + + # The target and dimension columns should both exist + target_column = await get_column(session, node.current, node_column) # type: ignore + dim_column = await get_column(session, dim_node.current, dimension_column) # type: ignore + + # Check the dimension column's type is compatible with the target column's type + if not dim_column.type.is_compatible(target_column.type): + raise DJInvalidInputException( + f"The column {target_column.name} has type {target_column.type} " + f"and is being linked to the dimension {dimension_node} " + f"via the dimension column {dimension_column}, which has " + f"type {dim_column.type}. These column types are incompatible" + " and the dimension cannot be linked", + ) + + activity_type = ( + ActivityType.UPDATE if target_column.dimension_column else ActivityType.CREATE + ) + + # Create the reference link + target_column.dimension_id = dim_node.id # type: ignore + target_column.dimension_column = ( + f"{dimension_column}[{role}]" if role else dimension_column + ) + session.add(target_column) + await save_history( + event=History( + entity_type=EntityType.LINK, + entity_name=node.name, # type: ignore + node=node.name, # type: ignore + activity_type=activity_type, + details={ + "node_name": node_name, # type: ignore + "node_column": node_column, + "dimension_node": dimension_node, + "dimension_column": dimension_column, + "role": role, + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() + + +async def create_new_revision_for_dimension_link_update( + session: AsyncSession, + node: Node, + current_user: User, +) -> NodeRevision: + """ + Create a new revision for the node to capture the dimension link changes in a new version + """ + new_revision = copy_existing_node_revision(node.current, current_user) + new_revision.version = str(Version.parse(node.current_version).next_minor_version()) + node.current_version = new_revision.version + new_revision.node = node + + session.add(new_revision) + await session.commit() + await session.refresh(new_revision) + await session.refresh(new_revision, ["dimension_links"]) + + return new_revision + + +async def propagate_valid_status( + session: AsyncSession, + valid_nodes: List[NodeRevision], + catalog_id: int, + current_user: User, + save_history: Callable, +) -> None: + """ + Propagate a valid status by revalidating all downstream nodes + """ + while valid_nodes: + resolved_nodes = [] + for node_revision in valid_nodes: + if node_revision.status != NodeStatus.VALID: + raise DJException( + f"Cannot propagate valid status: Node `{node_revision.name}` is not valid", + ) + downstream_nodes = await get_downstream_nodes( + session=session, + node_name=node_revision.name, + ) + newly_valid_nodes = [] + for node in downstream_nodes: + node_validator = await validate_node_data( + data=node.current, + session=session, + ) + node.current.status = node_validator.status + if node_validator.status == NodeStatus.VALID: + node.current.columns = node_validator.columns or [] + node.current.status = NodeStatus.VALID + node.current.catalog_id = catalog_id + await save_history( + event=status_change_history( + node.current, + NodeStatus.INVALID, + NodeStatus.VALID, + current_user=current_user, + ), + session=session, + ) + newly_valid_nodes.append(node.current) + session.add(node.current) + await session.commit() + await session.refresh(node.current) + resolved_nodes.extend(newly_valid_nodes) + valid_nodes = resolved_nodes + + +async def deactivate_node( + session: AsyncSession, + name: str, + current_user: User, + save_history: Callable, + query_service_client: QueryServiceClient, + background_tasks: BackgroundTasks, + request_headers: Dict[str, str] = None, + message: str = None, +): + """ + Deactivates a node and propagates to all downstreams. + """ + node = await Node.get_by_name(session, name) + + # Find all downstream nodes and mark them as invalid + downstreams = await get_downstream_nodes(session, name) + for downstream in downstreams: + if downstream.current.status != NodeStatus.INVALID: + downstream.current.status = NodeStatus.INVALID + await save_history( + event=status_change_history( + downstream.current, + NodeStatus.VALID, + NodeStatus.INVALID, + parent_node=name, + current_user=current_user, + ), + session=session, + ) + session.add(downstream) + + # If the node has materializations, deactivate them + for materialization in ( + node.current.materializations if node and node.current else [] + ): + background_tasks.add_task( + query_service_client.deactivate_materialization, + node_name=name, + materialization_name=materialization.name, + request_headers=request_headers, + ) + + now = datetime.now(timezone.utc) + node.deactivated_at = UTCDatetime( # type: ignore + year=now.year, + month=now.month, + day=now.day, + hour=now.hour, + minute=now.minute, + second=now.second, + ) + session.add(node) + await save_history( + event=History( + entity_type=EntityType.NODE, + entity_name=name, + node=name, + activity_type=ActivityType.DELETE, + details={"message": message} if message else {}, + user=current_user.username, + ), + session=session, + ) + await session.commit() + await session.refresh(node, ["current"]) + + +async def activate_node( + session: AsyncSession, + name: str, + current_user: User, + save_history: Callable, + message: str = None, +): + """Restores node and revalidate all downstreams.""" + node = await get_node_by_name( + session, + name, + with_current=True, + include_inactive=True, + ) + if not node.deactivated_at: + raise DJInvalidInputException( + http_status_code=HTTPStatus.BAD_REQUEST, + message=f"Cannot restore `{name}`, node already active.", + ) + node.deactivated_at = None # type: ignore + + # Find all downstream nodes and revalidate them + downstreams = await get_downstream_nodes( + session, + node.name, + options=[ + selectinload(Node.current).options( + selectinload(NodeRevision.columns).options( + selectinload(Column.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + selectinload(Column.dimension), + ), + selectinload(NodeRevision.parents), + selectinload(NodeRevision.cube_elements).selectinload( + Column.node_revision, + ), + ), + ], + ) + for downstream in downstreams: + old_status = downstream.current.status + if downstream.type == NodeType.CUBE: + downstream.current.status = NodeStatus.VALID + for element in downstream.current.cube_elements: + if ( + element.node_revision + and element.node_revision.status == NodeStatus.INVALID + ): + downstream.current.status = NodeStatus.INVALID # pragma: no cover + else: + # We should not fail node restoration just because of some nodes + # that have been invalid already and stay that way. + node_validator = await validate_node_data(downstream.current, session) + downstream.current.status = node_validator.status + if node_validator.errors: + downstream.current.status = NodeStatus.INVALID + session.add(downstream) + if old_status != downstream.current.status: + await save_history( + event=status_change_history( + downstream.current, + old_status, + downstream.current.status, + parent_node=node.name, + current_user=current_user, + ), + session=session, + ) + + session.add(node) + await save_history( + event=History( + entity_type=EntityType.NODE, + entity_name=node.name, + node=node.name, + activity_type=ActivityType.RESTORE, + details={"message": message} if message else {}, + user=current_user.username, + ), + session=session, + ) + await session.commit() + + +async def revalidate_node( + name: str, + session: AsyncSession, + current_user: User, + save_history: Callable, + update_query_ast: bool = False, + background_tasks: BackgroundTasks = None, +) -> NodeValidator: + """ + Revalidate a single existing node and update its status appropriately + """ + node = await Node.get_by_name( + session, + name, + options=[ + joinedload(Node.current).options(*NodeRevision.default_load_options()), + joinedload(Node.tags), + ], + raise_if_not_exists=True, + ) + current_node_revision = node.current # type: ignore + + # Revalidate source node + if current_node_revision.type == NodeType.SOURCE: + if current_node_revision.status != NodeStatus.VALID: # pragma: no cover + current_node_revision.status = NodeStatus.VALID + await save_history( + event=status_change_history( + current_node_revision, + NodeStatus.INVALID, + NodeStatus.VALID, + current_user=current_user, + ), + session=session, + ) + session.add(current_node_revision) + await session.commit() + await session.refresh(current_node_revision) + return NodeValidator( + status=node.current.status, # type: ignore + columns=node.current.columns, # type: ignore + ) + + # Revalidate cube node + if current_node_revision.type == NodeType.CUBE: + cube_node = await Node.get_cube_by_name(session, name) + current_node_revision = cube_node.current # type: ignore + cube_metrics = [metric.name for metric in current_node_revision.cube_metrics()] + cube_dimensions = current_node_revision.cube_dimensions() + errors = [] + try: + await validate_cube( + session, + metric_names=cube_metrics, + dimension_names=cube_dimensions, + require_dimensions=False, + ) + current_node_revision.status = NodeStatus.VALID + except DJException as exc: # pragma: no cover + current_node_revision.status = NodeStatus.INVALID + if exc.errors: + errors.extend(exc.errors) + else: + errors.append( + DJError(code=ErrorCode.INVALID_DIMENSION, message=exc.message), + ) + session.add(current_node_revision) + await session.commit() + return NodeValidator( + status=current_node_revision.status, + columns=current_node_revision.columns, + errors=errors, + ) + + # Revalidate all other node types + node_validator = await validate_node_data(current_node_revision, session) + + # Compile and save query AST + if update_query_ast and background_tasks: + background_tasks.add_task( # pragma: no cover + save_query_ast, + session=session, + node_name=node.name, # type: ignore + ) + + # Update the status + node.current.status = node_validator.status # type: ignore + + existing_columns = {col.name: col for col in node.current.columns} # type: ignore + + # Validate dimension links + to_remove = set() + for link in node.current.dimension_links: # type: ignore + if not link.foreign_key_column_names.intersection(set(existing_columns)): + to_remove.add(link) # pragma: no cover + await session.delete(link) # pragma: no cover + + # Check if any columns have been updated + updated_columns = False + for col in node_validator.columns: + if existing_col := existing_columns.get(col.name): + if existing_col.type != col.type: + existing_col.type = col.type + updated_columns = True + else: + node.current.columns.append(col) # type: ignore # pragma: no cover + updated_columns = True # pragma: no cover + + # Only create a new revision if the columns have been updated + if updated_columns: # type: ignore + new_revision = copy_existing_node_revision(node.current, current_user) # type: ignore + new_revision.version = str( + Version.parse(node.current.version).next_major_version(), # type: ignore + ) + + new_revision.status = node_validator.status + new_revision.lineage = [ + lineage.model_dump() + for lineage in await get_column_level_lineage(session, new_revision) + ] + + # Save which columns were modified and update the columns with the changes + node_validator.updated_columns = node_validator.modified_columns( + new_revision, # type: ignore + ) + new_revision.columns = node_validator.columns + + # Save the new revision of the child + node.current_version = new_revision.version # type: ignore + new_revision.node_id = node.id # type: ignore + session.add(node) + session.add(new_revision) + await session.commit() + await session.refresh(node.current) # type: ignore + await session.refresh(node, ["current"]) + + # For metric nodes, derive frozen measures (ensures they exist even for + # metrics created via deployment or updated after initial creation) + if current_node_revision.type == NodeType.METRIC and background_tasks: + background_tasks.add_task(derive_frozen_measures, node.current.id) # type: ignore + + return node_validator + + +async def hard_delete_node( + name: str, + session: AsyncSession, + current_user: User, + save_history: Callable, +): + """ + Hard delete a node, destroying all links and invalidating all downstream nodes. + This should be used with caution, deactivating a node is preferred. + """ + node = await Node.get_by_name( + session, + name, + options=[joinedload(Node.current), joinedload(Node.revisions)], + include_inactive=True, + raise_if_not_exists=True, + ) + downstream_nodes = await get_downstream_nodes(session=session, node_name=name) + + linked_nodes = [] + if node.type == NodeType.DIMENSION: # type: ignore + linked_nodes = await get_nodes_with_common_dimensions( + session=session, + common_dimensions=[node], # type: ignore + ) + + await session.delete(node) + await session.commit() + impact = [] # Aggregate all impact of this deletion to include in response + + # Revalidate all downstream nodes + for node in downstream_nodes: + await save_history( # Capture this in the downstream node's history + event=History( + entity_type=EntityType.DEPENDENCY, + entity_name=name, + node=node.name, + activity_type=ActivityType.DELETE, + user=current_user.username, + ), + session=session, + ) + node_validator = await revalidate_node( + name=node.name, + session=session, + current_user=current_user, + save_history=save_history, + update_query_ast=False, + ) + impact.append( + { + "name": node.name, + "status": node_validator.status if node_validator else "unknown", + "effect": "downstream node is now invalid", + }, + ) + + # Revalidate all linked nodes + for node in linked_nodes: + await save_history( # Capture this in the downstream node's history + event=History( + entity_type=EntityType.LINK, + entity_name=name, + node=node.name, + activity_type=ActivityType.DELETE, + user=current_user.username, + ), + session=session, + ) + node_validator = await revalidate_node( + name=node.name, + session=session, + current_user=current_user, + save_history=save_history, + update_query_ast=False, + ) + impact.append( + { + "name": node.name, + "status": node_validator.status, + "effect": "broken link", + }, + ) + await save_history( # Capture this in the downstream node's history + event=History( + entity_type=EntityType.NODE, + entity_name=name, + node=node.name, + activity_type=ActivityType.DELETE, + details={ + "impact": impact, + }, + user=current_user.username, + ), + session=session, + ) + await session.commit() # Commit the history events + return impact + + +async def refresh_source( + name: str, + session: AsyncSession, + current_user: User, + save_history: Callable, + query_service_client: QueryServiceClient, + request: Request, +): + request_headers = dict(request.headers) + source_node = await Node.get_by_name( + session, + name, + options=NodeOutput.load_options(), + ) + current_revision = source_node.current # type: ignore + + # If this is a view-based source node, let's rerun the create view + new_query = None + if current_revision.query: + catalog = await get_catalog_by_name( + session=session, + name=current_revision.catalog.name, + ) + query_create = QueryCreate( + engine_name=catalog.engines[0].name, + catalog_name=catalog.name, + engine_version=catalog.engines[0].version, + submitted_query=current_revision.query, + async_=False, + ) + query_service_client.create_view( + view_name=current_revision.table, + query_create=query_create, + request_headers=request_headers, + ) + new_query = current_revision.query + + # Get the latest columns for the source node's table from the query service + new_columns = [] + try: + new_columns = query_service_client.get_columns_for_table( + current_revision.catalog.name, + current_revision.schema_, # type: ignore + current_revision.table, # type: ignore + request_headers, + current_revision.catalog.engines[0] + if len(current_revision.catalog.engines) >= 1 + else None, + ) + except DJDoesNotExistException: + # continue with the update, if the table was not found + pass + + refresh_details = {} + if new_columns: + # check if any of the columns have changed (only continue with update if they have) + column_changes = {col.identifier() for col in current_revision.columns} != { + (col.name, str(parse_rule(str(col.type), "dataType"))) + for col in new_columns + } + + # if the columns haven't changed and the node has a table, we can skip the update + if not column_changes: + if not source_node.missing_table: # type: ignore + return source_node # type: ignore + # if the columns haven't changed but the node has a missing table, we should fix it + source_node.missing_table = False # type: ignore + refresh_details["missing_table"] = "False" + else: + # since we don't see any columns, we assume the table is gone + if source_node.missing_table: # type: ignore + # but if the node already has a missing table, we can skip the update + return source_node # type: ignore + source_node.missing_table = True # type: ignore + new_columns = current_revision.columns + refresh_details["missing_table"] = "True" + + # Create a new node revision with the updated columns and bump the version + old_version = Version.parse(source_node.current_version) # type: ignore + new_revision = NodeRevision( + name=current_revision.name, + type=current_revision.type, + node_id=current_revision.node_id, + display_name=current_revision.display_name, + description=current_revision.description, + mode=current_revision.mode, + catalog_id=current_revision.catalog_id, + schema_=current_revision.schema_, + table=current_revision.table, + status=current_revision.status, + dimension_links=[ + DimensionLink( + dimension_id=link.dimension_id, + join_sql=link.join_sql, + join_type=link.join_type, + join_cardinality=link.join_cardinality, + materialization_conf=link.materialization_conf, + ) + for link in current_revision.dimension_links + ], + created_by_id=current_user.id, + query=new_query, + ) + new_revision.version = str(old_version.next_major_version()) + new_revision.columns = [ + Column( + name=column.name, + type=column.type, + node_revision=new_revision, + order=idx, + ) + for idx, column in enumerate(new_columns) + ] + + # Keep the dimension links and attributes on the columns from the node's + # last revision if any existed + new_revision.copy_dimension_links_from_revision(current_revision) + + # Point the source node to the new revision + source_node.current_version = new_revision.version # type: ignore + new_revision.extra_validation() + + session.add(new_revision) + session.add(source_node) + + refresh_details["version"] = new_revision.version + await save_history( + event=History( + entity_type=EntityType.NODE, + entity_name=source_node.name, # type: ignore + node=source_node.name, # type: ignore + activity_type=ActivityType.REFRESH, + details=refresh_details, + user=current_user.username, + ), + session=session, + ) + await session.commit() + + source_node = await Node.get_by_name( + session, + name, + options=NodeOutput.load_options(), + ) + await session.refresh(source_node, ["current"]) + return source_node diff --git a/datajunction-server/datajunction_server/internal/notifications.py b/datajunction-server/datajunction_server/internal/notifications.py new file mode 100644 index 000000000..7b7a13345 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/notifications.py @@ -0,0 +1,29 @@ +""" +Module related to all things notifications +""" + +from typing import List + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload + +from datajunction_server.database.notification_preference import NotificationPreference +from datajunction_server.internal.history import EntityType + + +async def get_entity_notification_preferences( + session: AsyncSession, + entity_name: str, + entity_type: EntityType, +) -> List[NotificationPreference]: + """ + Get all user preferences for a specific notification preference + """ + result = await session.execute( + select(NotificationPreference) + .options(selectinload(NotificationPreference.user)) + .where(NotificationPreference.entity_name == entity_name) + .where(NotificationPreference.entity_type == entity_type), + ) + return result.scalars().all() diff --git a/datajunction-server/datajunction_server/internal/seed.py b/datajunction-server/datajunction_server/internal/seed.py new file mode 100644 index 000000000..8f640fe9a --- /dev/null +++ b/datajunction-server/datajunction_server/internal/seed.py @@ -0,0 +1,61 @@ +""" +Seed module for seeding default catalogs and more in the metadata database. +""" + +import logging + +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.models.dialect import Dialect +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.engine import Engine +from datajunction_server.utils import get_settings + +logger = logging.getLogger(__name__) +settings = get_settings() + + +async def seed_default_catalogs(session: AsyncSession): + """ + Seeds two default catalogs: + * An virtual catalog for nodes that are pure SQL and don't belong in any + particular catalog. This typically applies to on-the-fly user-defined dimensions. + * A DJ system catalog that contains all system tables modeled in DJ + """ + seed_catalogs = [ + settings.seed_setup.virtual_catalog_name, + settings.seed_setup.system_catalog_name, + ] + logger.info("Checking seeded catalogs: %s", seed_catalogs) + catalogs = await Catalog.get_by_names(session, names=seed_catalogs) + existing_catalog_names = {catalog.name for catalog in catalogs} + logger.info("Found existing seeded catalogs: %s", existing_catalog_names) + + if settings.seed_setup.virtual_catalog_name not in existing_catalog_names: + logger.info("Virtual catalog not found, adding...") + unknown = Catalog(name=settings.seed_setup.virtual_catalog_name) + session.add(unknown) + await session.commit() + + if settings.seed_setup.system_catalog_name not in existing_catalog_names: + logger.info("System catalog not found, adding...") + system_engine = await Engine.get_by_name( + session, + name=settings.seed_setup.system_engine_name, + ) + if not system_engine: # pragma: no cover + logger.info("System engine not found, adding...") + system_engine = Engine( + name=settings.seed_setup.system_engine_name, + version="", + uri=settings.reader_db.uri, + dialect=Dialect.POSTGRES, + ) + session.add(system_engine) + + system_catalog = Catalog(name=settings.seed_setup.system_catalog_name) + session.add(system_catalog) + system_catalog.engines.append(system_engine) + await session.commit() + + logger.info("Added system catalog and engines") diff --git a/datajunction-server/datajunction_server/internal/sql.py b/datajunction-server/datajunction_server/internal/sql.py new file mode 100644 index 000000000..da0ab8a82 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/sql.py @@ -0,0 +1,503 @@ +import logging +from typing import Any, Tuple, OrderedDict, cast +import re + +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload + +from datajunction_server.internal.access.authorization import ( + AccessChecker, + AccessDenialMode, +) +from datajunction_server.api.helpers import ( + assemble_column_metadata, + find_existing_cube, + get_catalog_by_name, + get_query, + validate_orderby, + validate_cube, + check_dimension_attributes_exist, + check_metrics_exist, +) +from datajunction_server.construction.build import ( + build_materialized_cube_node, + build_metric_nodes, + group_metrics_by_parent, + extract_components_and_parent_columns, + rename_columns, +) +from datajunction_server.construction.build_v2 import ( + QueryBuilder, + build_preaggregate_query, + get_dimensions_referenced_in_metrics, +) +from datajunction_server.database import Engine +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.catalog import Catalog +from datajunction_server.errors import DJInvalidInputException, DJException +from datajunction_server.internal.engines import get_engine +from datajunction_server.models import access +from datajunction_server.models.column import SemanticType +from datajunction_server.models.cube_materialization import Aggregability +from datajunction_server.models.engine import Dialect +from datajunction_server.models.metric import TranslatedSQL +from datajunction_server.models.node import BuildCriteria +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.query import ColumnMetadata +from datajunction_server.models.sql import GeneratedSQL +from datajunction_server.naming import LOOKUP_CHARS, from_amenable_name +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.ast import CompileContext +from datajunction_server.utils import SEPARATOR, refresh_if_needed + +logger = logging.getLogger(__name__) + + +async def build_node_sql( + session: AsyncSession, + node_name: str, + dimensions: list[str] | None = None, + filters: list[str] | None = None, + orderby: list[str] | None = None, + limit: int | None = None, + engine: Engine | None = None, + *, + access_checker: AccessChecker, + ignore_errors: bool = True, + use_materialized: bool = True, + query_parameters: dict[str, Any] | None = None, +) -> TranslatedSQL: + """ + Build node SQL and save it to query requests + """ + if orderby: + validate_orderby(orderby, [node_name], dimensions or []) + + node = cast( + Node, + await Node.get_by_name(session, node_name, raise_if_not_exists=True), + ) + if not engine: # pragma: no cover + engine = node.current.catalog.engines[0] + + # If it's a cube, we'll build SQL for the metrics in the cube, along with any additional + # dimensions or filters provided in the arguments + if node.type == NodeType.CUBE: + node = cast( + Node, + await Node.get_cube_by_name(session, node_name), + ) + dimensions = list( + OrderedDict.fromkeys(node.current.cube_node_dimensions + dimensions), + ) + translated_sql, engine, _ = await build_sql_for_multiple_metrics( + session=session, + metrics=node.current.cube_node_metrics, + dimensions=dimensions, + filters=filters, + orderby=orderby, + limit=limit, + engine_name=engine.name if engine else None, + engine_version=engine.version if engine else None, + access_checker=access_checker, + use_materialized=use_materialized, + query_parameters=query_parameters, + ) + return translated_sql + + # For all other nodes, build the node query + node = await Node.get_by_name(session, node_name, raise_if_not_exists=True) # type: ignore + if node.type == NodeType.METRIC: + translated_sql, engine, _ = await build_sql_for_multiple_metrics( + session, + [node_name], + dimensions or [], + filters or [], + orderby or [], + limit, + engine.name if engine else None, + engine.version if engine else None, + access_checker=access_checker, + ignore_errors=ignore_errors, + use_materialized=use_materialized, + query_parameters=query_parameters, + ) + query = translated_sql.sql + columns = translated_sql.columns + else: + query_ast = await get_query( + session=session, + node_name=node_name, + dimensions=dimensions or [], + filters=filters or [], + orderby=orderby or [], + limit=limit, + engine=engine, + access_checker=access_checker, + use_materialized=use_materialized, + query_parameters=query_parameters, + ignore_errors=ignore_errors, + ) + columns = [ + assemble_column_metadata(col, use_semantic_metadata=True) # type: ignore + for col in query_ast.select.projection + ] + query = str(query_ast) + + return TranslatedSQL.create( + sql=query, + columns=columns, + dialect=engine.dialect if engine else None, + ) + + +async def build_sql_for_multiple_metrics( + session: AsyncSession, + metrics: list[str], + dimensions: list[str], + filters: list[str] = None, + orderby: list[str] = None, + limit: int | None = None, + engine_name: str | None = None, + engine_version: str | None = None, + access_checker: AccessChecker | None = None, + ignore_errors: bool = True, + use_materialized: bool = True, + query_parameters: dict[str, str] | None = None, +) -> Tuple[TranslatedSQL, Engine, Catalog]: + """ + Build SQL for multiple metrics. Used by both /sql and /data endpoints + """ + if not filters: + filters = [] + if not orderby: + orderby = [] + + metric_columns, metric_nodes, _, dimension_columns, _ = await validate_cube( + session, + metrics, + dimensions, + require_dimensions=False, + ) + leading_metric_node = await Node.get_by_name( + session, + metrics[0], + options=[ + joinedload(Node.current).options( + joinedload(NodeRevision.catalog).options(joinedload(Catalog.engines)), + ), + ], + ) + if access_checker: + access_checker.add_node(leading_metric_node.current, access.ResourceAction.READ) # type: ignore + available_engines = ( + leading_metric_node.current.catalog.engines # type: ignore + if leading_metric_node.current.catalog # type: ignore + else [] + ) + + # Try to find a built cube that already has the given metrics and dimensions + # The cube needs to have a materialization configured and an availability state + # posted in order for us to use the materialized datasource + cube = await find_existing_cube( + session, + metric_columns, + dimension_columns, + materialized=True, + ) + materialized_cube_catalog = None + if cube: + materialized_cube_catalog = await get_catalog_by_name( + session, + cube.availability.catalog, # type: ignore + ) + + # Check if selected engine is available + engine = ( + await get_engine(session, engine_name, engine_version) # type: ignore + if engine_name + else available_engines[0] + ) + if engine not in available_engines: + raise DJInvalidInputException( # pragma: no cover + f"The selected engine is not available for the node {metrics[0]}. " + f"Available engines include: {', '.join(engine.name for engine in available_engines)}", + ) + + # Do not use the materialized cube if the chosen engine is not available for + # the materialized cube's catalog + if ( + cube + and materialized_cube_catalog + and engine.name not in [eng.name for eng in materialized_cube_catalog.engines] + ): + cube = None + + if orderby: + validate_orderby(orderby, metrics, dimensions) + + if cube and cube.availability and use_materialized and materialized_cube_catalog: + if access_checker: # pragma: no cover + access_checker.add_node(cube, access.ResourceAction.READ) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + query_ast = build_materialized_cube_node( + metric_columns, + dimension_columns, + cube, + filters, + orderby, + limit, + ) + query_metric_columns = [ + ColumnMetadata( + name=col.name, + type=str(col.type), + column=col.name, + node=col.node_revision.name, # type: ignore + ) + for col in metric_columns + ] + query_dimension_columns = [ + ColumnMetadata( + name=(col.node_revision.name + SEPARATOR + col.name).replace( # type: ignore + SEPARATOR, + f"_{LOOKUP_CHARS.get(SEPARATOR)}_", + ), + type=str(col.type), + node=col.node_revision.name, # type: ignore + column=col.name, # type: ignore + ) + for col in dimension_columns + ] + engine = materialized_cube_catalog.engines[0] + return ( + TranslatedSQL.create( + sql=str(query_ast), + columns=query_metric_columns + query_dimension_columns, + dialect=materialized_cube_catalog.engines[0].dialect, + ), + engine, + cube.catalog, + ) + + query_ast = await build_metric_nodes( + session, + metric_nodes, + filters=filters or [], + dimensions=dimensions or [], + orderby=orderby or [], + limit=limit, + access_checker=access_checker, + ignore_errors=ignore_errors, + query_parameters=query_parameters, + ) + + # Check authorization for all discovered nodes + if access_checker: # pragma: no cover + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + columns = [ + assemble_column_metadata(col, use_semantic_metadata=True) # type: ignore + for col in query_ast.select.projection + ] + upstream_tables = [tbl for tbl in query_ast.find_all(ast.Table) if tbl.dj_node] + for tbl in upstream_tables: + await refresh_if_needed(session, tbl.dj_node, ["availability"]) + return ( + TranslatedSQL.create( + sql=str(query_ast), + columns=columns, + dialect=engine.dialect if engine else None, + upstream_tables=[ + f"{leading_metric_node.current.catalog.name}.{tbl.identifier()}" # type: ignore + for tbl in upstream_tables + # If a table has a corresponding node with an associated physical table (either + # a source node or a node with a materialized table). + if cast(NodeRevision, tbl.dj_node).type == NodeType.SOURCE + or cast(NodeRevision, tbl.dj_node).availability is not None + ], + ), + engine, + leading_metric_node.current.catalog, # type: ignore + ) + + +async def get_measures_query( + session: AsyncSession, + metrics: list[str], + dimensions: list[str], + filters: list[str], + orderby: list[str] = None, + engine_name: str | None = None, + engine_version: str | None = None, + access_checker: AccessChecker = None, + include_all_columns: bool = False, + use_materialized: bool = True, + preagg_requested: bool = False, + query_parameters: dict[str, Any] = None, +) -> list[GeneratedSQL]: + """ + Builds the measures SQL for a set of metrics with dimensions and filters. + + Measures queries are generated at the grain of each of the metrics' upstream nodes. + For example, if some of your metrics are aggregations on measures in parent node A + and others are aggregations on measures in parent node B, this function will return a + dictionary that maps A to the measures query for A, and B to the measures query for B. + """ + engine = ( + await get_engine(session, engine_name, engine_version) if engine_name else None # type: ignore + ) + build_criteria = BuildCriteria( + dialect=engine.dialect if engine and engine.dialect else Dialect.SPARK, + ) + + if not filters: + filters = [] + + metrics_sorting_order = {val: idx for idx, val in enumerate(metrics)} + metric_nodes = await check_metrics_exist(session, metrics) + await check_dimension_attributes_exist(session, dimensions) + + common_parents = await group_metrics_by_parent(session, metric_nodes) + parent_columns, metric_components = await extract_components_and_parent_columns( + metric_nodes, + session, + ) + + column_name_regex = r"([A-Za-z0-9_\.]+)(\[[A-Za-z0-9_]+\])?" + matcher = re.compile(column_name_regex) + + # Find any dimensions referenced in the metric definitions and add to requested dimensions + dimensions.extend( + [ + dim + for dim in get_dimensions_referenced_in_metrics(metric_nodes) + if dim not in dimensions + ], + ) + + dimensions_without_roles = [matcher.findall(dim)[0][0] for dim in dimensions] + + measures_queries = [] + context = CompileContext(session=session, exception=DJException()) + for parent_node, children in common_parents.items(): # type: ignore + children = sorted(children, key=lambda x: metrics_sorting_order.get(x.name, 0)) + + # Determine whether to pre-aggregate to the requested dimensions so that subsequent + # queries are more efficient by checking the measures on the requested metrics + preaggregate = preagg_requested and all( + len(metric_components[metric.name][0]) > 0 + and all( + measure.rule.type in (Aggregability.FULL, Aggregability.LIMITED) + for measure in metric_components[metric.name][0] + ) + for metric in children + ) + + measure_columns, dimensional_columns = [], [] + await refresh_if_needed(session, parent_node, ["current"]) + query_builder = await QueryBuilder.create( + session, + parent_node.current, + use_materialized=use_materialized, + ) + parent_ast = await ( + query_builder.ignore_errors() + .with_access_control(access_checker) + .with_build_criteria(build_criteria) + .add_dimensions(dimensions) + .add_filters(filters) + .add_query_parameters(query_parameters) + .order_by(orderby) + .build() + ) + + # Select only columns that were one of the necessary measures + if not include_all_columns: + parent_ast.select.projection = [ + expr + for expr in parent_ast.select.projection + if ( + (identifier := expr.alias_or_name.identifier(False)) + and ( + from_amenable_name(identifier).split(SEPARATOR)[-1] + in parent_columns[parent_node.name] + or identifier in parent_columns[parent_node.name] + or expr.semantic_entity + in set(dimensions_without_roles + dimensions) + or from_amenable_name(identifier) in dimensions_without_roles + ) + ) + ] + + await refresh_if_needed(session, parent_node.current, ["columns"]) + parent_ast = rename_columns(parent_ast, parent_node.current, preaggregate) + + # Sort the selected columns into dimension vs measure columns and + # generate identifiers for them + for expr in parent_ast.select.projection: + column_identifier = expr.alias_or_name.identifier(False) # type: ignore + if from_amenable_name(column_identifier) in dimensions_without_roles: + dimensional_columns.append(expr) + expr.set_semantic_type(SemanticType.DIMENSION) # type: ignore + else: + measure_columns.append(expr) + expr.set_semantic_type(SemanticType.MEASURE) # type: ignore + await parent_ast.compile(context) + dependencies, _ = await parent_ast.extract_dependencies( + CompileContext(session, DJException()), + ) + + final_query = ( + build_preaggregate_query( + parent_ast, + parent_node, + dimensional_columns, + children, + metric_components, + ) + if preaggregate + else parent_ast + ) + + # Build translated SQL object + columns_metadata = [ + assemble_column_metadata( # pragma: no cover + cast(ast.Column, col), + preaggregate, + ) + for col in final_query.select.projection + ] + measures_queries.append( + GeneratedSQL.create( + node=parent_node.current, + sql=str(final_query), + columns=columns_metadata, + dialect=build_criteria.dialect, + upstream_tables=[ + f"{dep.catalog.name}.{dep.schema_}.{dep.table}" + for dep in dependencies + if dep.type == NodeType.SOURCE + ], + grain=( + [ + col.name + for col in columns_metadata + if col.semantic_type == SemanticType.DIMENSION + ] + if preaggregate + else [pk_col.name for pk_col in parent_node.current.primary_key()] + ), + errors=query_builder.errors, + metrics={ + metric.name: ( + metric_components[metric.name][0], + str(metric_components[metric.name][1]).replace("\n", "") + if preaggregate + else metric.query, + ) + for metric in children + }, + ), + ) + return measures_queries diff --git a/datajunction-server/datajunction_server/internal/templates/client_setup.j2 b/datajunction-server/datajunction_server/internal/templates/client_setup.j2 new file mode 100644 index 000000000..baa9bdf3c --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/client_setup.j2 @@ -0,0 +1,9 @@ +from datajunction import ( + DJBuilder, Source, Dimension, Transform, Metric, + Namespace, MetricUnit, MetricDirection, ColumnAttribute, +) + +DJ_URL = "{{ request_url }}" + +dj = DJBuilder(DJ_URL) +dj.basic_login("dj", "dj") diff --git a/datajunction-server/datajunction_server/internal/templates/create_cube.j2 b/datajunction-server/datajunction_server/internal/templates/create_cube.j2 new file mode 100644 index 000000000..12b577477 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/create_cube.j2 @@ -0,0 +1,19 @@ +{{ short_name }} = dj.create_cube( + name={% if '{' in name %}f{% else %}{% endif %}"{{ name }}", + display_name="{{ display_name }}", + description="""{{ description }}""", + dimensions=[{%- for dimension in dimensions %} + {% if '{' in dimension %}f{% else %}{% endif %}"{{ dimension }}", + {%- endfor %} + ], + metrics=[{%- for metric in metrics %} + {% if '{' in metric %}f{% else %}{% endif %}"{{ metric }}", + {%- endfor %} + ], + mode="{{ mode }}", + tags=[{%- for tag in tags %} + dj.tag("{{ tag }}"), + {%- endfor %}{% if tags %} + {% else %}{% endif %}], + update_if_exists=True, +) diff --git a/datajunction-server/datajunction_server/internal/templates/create_dimension.j2 b/datajunction-server/datajunction_server/internal/templates/create_dimension.j2 new file mode 100644 index 000000000..b860120ca --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/create_dimension.j2 @@ -0,0 +1,16 @@ +{{ short_name }} = dj.create_dimension( + name={% if '{' in name %}f{% else %}{% endif %}"{{ name }}", + display_name="{{ display_name }}", + description="""{{ description }}""", + mode="{{ mode }}", + primary_key=[{%- for column in primary_key %} + "{{ column }}", + {%- endfor %}{% if primary_key %} + {% else %}{% endif %}], + tags=[{%- for tag in tags %} + dj.tag("{{ tag }}"), + {%- endfor %}{% if tags %} + {% else %}{% endif %}], + query={% if '{' in query %}f{% else %}{% endif %}"""{{ query }}""", + update_if_exists=True, +) diff --git a/datajunction-server/datajunction_server/internal/templates/create_metric.j2 b/datajunction-server/datajunction_server/internal/templates/create_metric.j2 new file mode 100644 index 000000000..042d9addb --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/create_metric.j2 @@ -0,0 +1,18 @@ +{{ short_name }} = dj.create_metric( + name={% if '{' in name %}f{% else %}{% endif %}"{{ name }}", + display_name="{{ display_name }}", + description="""{{ description }}""", + mode="{{ mode }}", + required_dimensions=[{%- for dimension in required_dimensions %} + {% if '{' in dimension %}f{% else %}{% endif %}"{{ dimension }}", + {%- endfor %}{% if required_dimensions %} + {% else %}{% endif %}], + tags=[{%- for tag in tags %} + dj.tag("{{ tag }}"), + {%- endfor %}{% if tags %} + {% else %}{% endif %}], + query={% if '{' in query %}f{% else %}{% endif %}"""{{ query }}""",{% if direction %} + direction={{ direction }},{% else %}{% endif %}{% if unit %} + unit={{ unit }},{% else %}{% endif %} + update_if_exists=True, +) diff --git a/datajunction-server/datajunction_server/internal/templates/create_transform.j2 b/datajunction-server/datajunction_server/internal/templates/create_transform.j2 new file mode 100644 index 000000000..7d4acfd02 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/create_transform.j2 @@ -0,0 +1,16 @@ +{{ short_name }} = dj.create_transform( + name={% if '{' in name %}f{% else %}{% endif %}"{{ name }}", + display_name="{{ display_name }}", + description="""{{ description }}""", + mode="{{ mode }}", + primary_key=[{%- for column in primary_key %} + "{{ column }}", + {%- endfor %}{% if primary_key %} + {% else %}{% endif %}], + tags=[{%- for tag in tags %} + dj.tag("{{ tag }}"), + {%- endfor %}{% if tags %} + {% else %}{% endif %}], + query={% if '{' in query %}f{% else %}{% endif %}"""{{ query }}""", + update_if_exists=True, +) diff --git a/datajunction-server/datajunction_server/internal/templates/link_dimension.j2 b/datajunction-server/datajunction_server/internal/templates/link_dimension.j2 new file mode 100644 index 000000000..4e9a58c48 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/link_dimension.j2 @@ -0,0 +1,6 @@ +{{ node_short_name }}.link_complex_dimension( + dimension_node=f"{{ dimension_node }}", + join_on=f"{{ join_on }}", + join_type="{{ join_type }}",{% if role %} + role="{{ role }}",{% else %}{% endif %} +) diff --git a/datajunction-server/datajunction_server/internal/templates/namespace_mapping.j2 b/datajunction-server/datajunction_server/internal/templates/namespace_mapping.j2 new file mode 100644 index 000000000..e2e3ad34b --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/namespace_mapping.j2 @@ -0,0 +1,9 @@ +# A mapping from current namespaces to new namespaces +# Note: Editing the mapping will result in the nodes under that namespace getting +# copied to the new namespace + +NAMESPACE_MAPPING = { + {%- for namespace in namespaces %} + "{{ namespace }}": "{{ namespace }}", + {%- endfor %} +} diff --git a/datajunction-server/datajunction_server/internal/templates/register_table.j2 b/datajunction-server/datajunction_server/internal/templates/register_table.j2 new file mode 100644 index 000000000..34c59b1dc --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/register_table.j2 @@ -0,0 +1,5 @@ +dj.register_table( + catalog="{{ catalog }}", + schema="{{ schema }}", + table="{{ table }}", +) diff --git a/datajunction-server/datajunction_server/internal/templates/set_column_attributes.j2 b/datajunction-server/datajunction_server/internal/templates/set_column_attributes.j2 new file mode 100644 index 000000000..a17556976 --- /dev/null +++ b/datajunction-server/datajunction_server/internal/templates/set_column_attributes.j2 @@ -0,0 +1,7 @@ +{{ node_short_name }}.set_column_attributes( + "{{ column_name }}", + [{%- for attribute in attributes %} + ColumnAttribute(namespace="{{ attribute.namespace }}", name="{{ attribute.name }}"), + {%- endfor %}{% if attributes %} + {% else %}{% endif %}], +) diff --git a/datajunction-server/datajunction_server/internal/validation.py b/datajunction-server/datajunction_server/internal/validation.py new file mode 100644 index 000000000..45290804d --- /dev/null +++ b/datajunction-server/datajunction_server/internal/validation.py @@ -0,0 +1,374 @@ +"""Node validation functions.""" + +from dataclasses import dataclass, field +from typing import Dict, List, Set, Union + +from sqlalchemy.exc import MissingGreenlet +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.api.helpers import find_required_dimensions +from datajunction_server.database import Node, NodeRevision +from datajunction_server.database.column import Column, ColumnAttribute +from datajunction_server.errors import ( + DJError, + DJException, + DJInvalidMetricQueryException, + ErrorCode, +) +from datajunction_server.models.base import labelize +from datajunction_server.models.node import NodeRevisionBase, NodeStatus +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import SqlSyntaxError, parse +from datajunction_server.sql.parsing.backends.exceptions import DJParseException + + +@dataclass +class NodeValidator: + """ + Node validation + """ + + status: NodeStatus = NodeStatus.VALID + columns: List[Column] = field(default_factory=list) + required_dimensions: List[Column] = field(default_factory=list) + dependencies_map: Dict[NodeRevision, List[ast.Table]] = field(default_factory=dict) + missing_parents_map: Dict[str, List[ast.Table]] = field(default_factory=dict) + type_inference_failures: List[str] = field(default_factory=list) + errors: List[DJError] = field(default_factory=list) + updated_columns: List[str] = field(default_factory=list) + + def modified_columns(self, node_revision: NodeRevision) -> Set[str]: + """ + Compared to the provided node revision, returns the modified columns + """ + initial_node_columns = {col.name: col for col in node_revision.columns} + updated_columns = set(initial_node_columns.keys()).difference( + {n.name for n in self.columns}, + ) + for column in self.columns: + if column.name in initial_node_columns: + if initial_node_columns[column.name].type != column.type: + updated_columns.add(column.name) # pragma: no cover + else: # pragma: no cover + updated_columns.add(column.name) # pragma: no cover + return updated_columns + + +async def validate_node_data( + data: Union[NodeRevisionBase, NodeRevision], + session: AsyncSession, +) -> NodeValidator: + """ + Validate a node. This function should never raise any errors. + It will build the lists of issues (including errors) and return them all + for the caller to decide what to do. + """ + node_validator = NodeValidator() + + # Create context without bulk loading for new nodes + ctx = ast.CompileContext(session=session, exception=DJException()) + + if isinstance(data, NodeRevision): + validated_node = data + # await session.refresh(data, ["parents"]) + # ctx = await create_compile_context_with_bulk_deps( + # session=session, + # node_names={parent.name for parent in data.parents}, + # ) + else: + node = Node(name=data.name, type=data.type) + validated_node = NodeRevision(**data.model_dump()) + validated_node.node = node + + # Try to parse the node's query, extract dependencies and missing parents + try: + formatted_query = ( + NodeRevision.format_metric_alias( + validated_node.query, # type: ignore + validated_node.name, + ) + if validated_node.type == NodeType.METRIC + else validated_node.query + ) + query_ast = parse(formatted_query) # type: ignore + ( + dependencies_map, + missing_parents_map, + ) = await query_ast.bake_ctes().extract_dependencies(ctx) + node_validator.dependencies_map = dependencies_map + node_validator.missing_parents_map = missing_parents_map + except (DJParseException, ValueError, SqlSyntaxError) as raised_exceptions: + node_validator.status = NodeStatus.INVALID + node_validator.errors.append( + DJError(code=ErrorCode.INVALID_SQL_QUERY, message=str(raised_exceptions)), + ) + return node_validator + + # Add aliases for any unnamed columns and confirm that all column types can be inferred + query_ast.select.add_aliases_to_unnamed_columns() + + if validated_node.type == NodeType.METRIC and node_validator.dependencies_map: + # Check if this is a derived metric (references other metrics) + metric_parents = [ + parent + for parent in node_validator.dependencies_map.keys() + if parent.type == NodeType.METRIC + ] + non_metric_parents = [ + parent + for parent in node_validator.dependencies_map.keys() + if parent.type != NodeType.METRIC + ] + + if metric_parents: + # This is a derived metric - nested derived metrics are supported + # via inline expansion during decomposition + if len(metric_parents) > 1: + # For cross-fact derived metrics, validate that there are shared dimensions + # between all referenced base metrics + from datajunction_server.sql.dag import get_dimensions + + # Get dimensions for each base metric + all_dimension_sets: List[Set[str]] = [] + for base_metric in metric_parents: + dims = await get_dimensions( + session, + base_metric.node, + with_attributes=True, + ) + dim_names = {d.name for d in dims} + all_dimension_sets.append(dim_names) + + # Compute intersection of all dimension sets + if all_dimension_sets: # pragma: no branch + shared_dimensions = all_dimension_sets[0] + for dim_set in all_dimension_sets[1:]: + shared_dimensions = shared_dimensions & dim_set + + if not shared_dimensions: + metric_names = [m.name for m in metric_parents] + node_validator.status = NodeStatus.INVALID + node_validator.errors.append( + DJError( + code=ErrorCode.INVALID_PARENT, + message=( + f"Cannot create derived metric from base metrics with no shared " + f"dimensions. The following metrics have no dimensions in common: " + f"{', '.join(metric_names)}. Cross-fact derived metrics require " + f"at least one shared dimension for joining." + ), + ), + ) + else: + # Standard metric - validate columns exist on parent nodes + all_available_columns = { + col.name + for upstream_node in non_metric_parents + for col in upstream_node.columns + } + + metric_expression = query_ast.select.projection[0] + referenced_columns = metric_expression.find_all(ast.Column) + + missing_columns = [] + for col in referenced_columns: + column_name = col.alias_or_name.name + # Skip columns with namespaces, those are from dimension links and will + # be validated when the metric node is compiled + if not col.namespace and column_name not in all_available_columns: + missing_columns.append(column_name) + + if missing_columns: + node_validator.status = NodeStatus.INVALID + node_validator.errors.append( + DJError( + code=ErrorCode.MISSING_COLUMNS, + message=f"Metric definition references missing columns: {', '.join(missing_columns)}", + ), + ) + + # Invalid parents will invalidate this node + # Note: we include source nodes here because they sometimes appear to be invalid, but + # this is a bug that needs to be fixed + invalid_parents = { + parent.name + for parent in node_validator.dependencies_map + if parent.type != NodeType.SOURCE and parent.status == NodeStatus.INVALID + } + if invalid_parents: + node_validator.errors.append( + DJError( + code=ErrorCode.INVALID_PARENT, + message=f"References invalid parent node(s) {','.join(invalid_parents)}", + ), + ) + node_validator.status = NodeStatus.INVALID + + try: + column_mapping = {col.name: col for col in validated_node.columns} + except MissingGreenlet: # pragma: no cover + column_mapping = {} # pragma: no cover + node_validator.columns = [] + type_inference_failures = {} + for idx, col in enumerate(query_ast.select.projection): # type: ignore + column = None + column_name = col.alias_or_name.name # type: ignore + existing_column = column_mapping.get(column_name) + try: + column_type = str(col.type) # type: ignore + column = Column( + name=column_name.lower() + if validated_node.type != NodeType.METRIC + else column_name, + display_name=labelize(column_name), + type=column_type, + attributes=[ + ColumnAttribute( + attribute_type_id=attr.attribute_type_id, + attribute_type=attr.attribute_type, + ) + for attr in existing_column.attributes + ] + if existing_column + else [], + dimension=existing_column.dimension if existing_column else None, + order=idx, + ) + except DJParseException as parse_exc: + type_inference_failures[column_name] = parse_exc.message + node_validator.status = NodeStatus.INVALID + except TypeError: # pragma: no cover + type_inference_failures[column_name] = ( + f"Unknown TypeError on column {column_name}." + ) + node_validator.status = NodeStatus.INVALID + if column: + node_validator.columns.append(column) + + # Find required dimension columns from full dimension paths + # e.g., "dimensions.date.dateint" -> find column "dateint" on node "dimensions.date" + try: + # Get parent columns for short name lookups + parent_columns = [ + col for parent in dependencies_map.keys() for col in parent.columns + ] + # Get required dimensions as strings (may be Column objects if already resolved) + required_dim_strings = [ + col.full_name() if isinstance(col, Column) else col + for col in validated_node.required_dimensions + ] + ( + invalid_required_dimensions, + matched_bound_columns, + ) = await find_required_dimensions( + session, + required_dim_strings, + parent_columns, + ) + node_validator.required_dimensions = matched_bound_columns + except MissingGreenlet: + invalid_required_dimensions = set() + node_validator.required_dimensions = [] + + if missing_parents_map or type_inference_failures or invalid_required_dimensions: + # update status + node_validator.status = NodeStatus.INVALID + # build errors + missing_parents_error = ( + [ + DJError( + code=ErrorCode.MISSING_PARENT, + message=f"Node definition contains references to nodes that do not " + f"exist: {','.join(missing_parents_map.keys())}", + debug={"missing_parents": list(missing_parents_map.keys())}, + ), + ] + if missing_parents_map + else [] + ) + type_inference_error = ( + [ + DJError( + code=ErrorCode.TYPE_INFERENCE, + message=message, + debug={ + "columns": [column], + "errors": ctx.exception.errors, + }, + ) + for column, message in type_inference_failures.items() + ] + if type_inference_failures + else [] + ) + invalid_required_dimensions_error = ( + [ + DJError( + code=ErrorCode.INVALID_COLUMN, + message=( + "Node definition contains references to columns as " + "required dimensions that are not on parent nodes." + ), + debug={ + "invalid_required_dimensions": list( + invalid_required_dimensions, + ), + }, + ), + ] + if invalid_required_dimensions + else [] + ) + errors = ( + missing_parents_error + + type_inference_error + + invalid_required_dimensions_error + ) + node_validator.errors.extend(errors) + + return node_validator + + +def validate_metric_query(query_ast: ast.Query, name: str) -> None: + """ + Validate a metric query. + The Node SQL query should have a single expression in its + projections and it should be an aggregation function. + """ + if len(query_ast.select.projection) != 1: + raise DJInvalidMetricQueryException( + message="Metric queries can only have a single " + f"expression, found {len(query_ast.select.projection)}", + ) + + projection_0 = query_ast.select.projection[0] + if not projection_0.is_aggregation() and query_ast.select.from_ is not None: # type: ignore + raise DJInvalidMetricQueryException( + f"Metric {name} has an invalid query, should have an aggregate expression", + ) + + if query_ast.select.where: + raise DJInvalidMetricQueryException( + "Metric cannot have a WHERE clause. Please use IF(, ...) instead", + ) + + clauses = [ + "GROUP BY" if query_ast.select.group_by else None, + "HAVING" if query_ast.select.having else None, + "LATERAL VIEW" if query_ast.select.lateral_views else None, + "UNION or INTERSECT" if query_ast.select.set_op else None, + "LIMIT" if query_ast.select.limit else None, + "ORDER BY" + if query_ast.select.organization and query_ast.select.organization.order + else None, + "SORT BY" + if query_ast.select.organization and query_ast.select.organization.sort + else None, + ] + invalid_clauses = [clause for clause in clauses if clause is not None] + if invalid_clauses: + raise DJInvalidMetricQueryException( + "Metric has an invalid query. The following are not allowed: " + + ", ".join(invalid_clauses), + ) diff --git a/datajunction-server/datajunction_server/materialization/__init__.py b/datajunction-server/datajunction_server/materialization/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/materialization/jobs/__init__.py b/datajunction-server/datajunction_server/materialization/jobs/__init__.py new file mode 100644 index 000000000..e8ccd4412 --- /dev/null +++ b/datajunction-server/datajunction_server/materialization/jobs/__init__.py @@ -0,0 +1,20 @@ +""" +Available materialization jobs. +""" + +__all__ = [ + "MaterializationJob", + "SparkSqlMaterializationJob", + "DefaultCubeMaterialization", + "DruidMeasuresCubeMaterializationJob", + "DruidMetricsCubeMaterializationJob", +] +from datajunction_server.materialization.jobs.cube_materialization import ( + DefaultCubeMaterialization, + DruidMeasuresCubeMaterializationJob, + DruidMetricsCubeMaterializationJob, +) +from datajunction_server.materialization.jobs.materialization_job import ( + MaterializationJob, + SparkSqlMaterializationJob, +) diff --git a/datajunction-server/datajunction_server/materialization/jobs/cube_materialization.py b/datajunction-server/datajunction_server/materialization/jobs/cube_materialization.py new file mode 100644 index 000000000..4996ab643 --- /dev/null +++ b/datajunction-server/datajunction_server/materialization/jobs/cube_materialization.py @@ -0,0 +1,250 @@ +""" +Cube materialization jobs +""" + +import logging +from typing import Dict, Optional + +from datajunction_server.database.materialization import Materialization +from datajunction_server.database.node import NodeRevision +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.materialization.jobs.materialization_job import ( + MaterializationJob, +) +from datajunction_server.models.cube_materialization import ( + DruidCubeConfig, + DruidCubeMaterializationInput, +) +from datajunction_server.models.engine import Dialect +from datajunction_server.models.materialization import ( + DruidMaterializationInput, + DruidMeasuresCubeConfig, + DruidMetricsCubeConfig, + MaterializationInfo, + MaterializationStrategy, +) +from datajunction_server.naming import amenable_name +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse + +_logger = logging.getLogger(__name__) + + +class DefaultCubeMaterialization(MaterializationJob): + """ + Dummy job that is not meant to be executed but contains all the + settings needed for to materialize a generic cube. + """ + + def schedule( + self, + materialization: Materialization, + query_service_client: QueryServiceClient, + ): + """ + Since this is a settings-only dummy job, we do nothing in this stage. + """ + return # pragma: no cover + + +class DruidMaterializationJob(MaterializationJob): + """ + Generic Druid materialization job, irrespective of measures or aggregation load. + """ + + config_class = None + + def schedule( + self, + materialization: Materialization, + query_service_client: QueryServiceClient, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Use the query service to kick off the materialization setup. + """ + if not self.config_class: + raise DJInvalidInputException( # pragma: no cover + "The materialization job config class must be defined!", + ) + cube_config = self.config_class.parse_obj(materialization.config) + druid_spec = cube_config.build_druid_spec( + materialization.node_revision, + ) + temporal_partition = cube_config.temporal_partition( + materialization.node_revision, + ) + categorical_partitions = cube_config.categorical_partitions( + materialization.node_revision, + ) + final_query = build_materialization_query( + cube_config.query, + materialization, + materialization.node_revision, + ) + return query_service_client.materialize( + DruidMaterializationInput( + name=materialization.name, + node_name=materialization.node_revision.name, + node_version=materialization.node_revision.version, + node_type=materialization.node_revision.type, + schedule=materialization.schedule, + query=str(final_query), + spark_conf=cube_config.spark.root if cube_config.spark else {}, + druid_spec=druid_spec, + upstream_tables=cube_config.upstream_tables or [], + columns=cube_config.columns, + partitions=temporal_partition + categorical_partitions, + job=materialization.job, + strategy=materialization.strategy, + lookback_window=cube_config.lookback_window, + ), + request_headers=request_headers, + ) + + +class DruidMetricsCubeMaterializationJob(DruidMaterializationJob, MaterializationJob): + """ + Druid materialization (aggregations aka metrics) for a cube node. + """ + + config_class = DruidMetricsCubeConfig # type: ignore + + +class DruidMeasuresCubeMaterializationJob(DruidMaterializationJob, MaterializationJob): + """ + Druid materialization (measures) for a cube node. + """ + + dialect = Dialect.DRUID + config_class = DruidMeasuresCubeConfig # type: ignore + + +class DruidCubeMaterializationJob(DruidMaterializationJob, MaterializationJob): + """ + Druid materialization (aggregations aka metrics) for a cube node. + """ + + dialect = Dialect.DRUID + config_class = DruidCubeConfig # type: ignore + + def schedule( + self, + materialization: Materialization, + query_service_client: QueryServiceClient, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Use the query service to kick off the materialization setup. + """ + if not self.config_class: # type: ignore + raise DJInvalidInputException( # pragma: no cover + "The materialization job config class must be defined!", + ) + cube_config = self.config_class.model_validate(materialization.config) # type: ignore + _logger.info( + "Scheduling DruidCubeMaterializationJob for node=%s", + cube_config.cube, + ) + return query_service_client.materialize_cube( + materialization_input=DruidCubeMaterializationInput( + name=materialization.name, + cube=cube_config.cube, + dimensions=cube_config.dimensions, + metrics=cube_config.metrics, + strategy=materialization.strategy, + schedule=materialization.schedule, + job=materialization.job, + measures_materializations=cube_config.measures_materializations, + combiners=cube_config.combiners, + ), + request_headers=request_headers, + ) + + +def build_materialization_query( + base_cube_query: str, + materialization: Materialization, + node_revision: NodeRevision, +) -> ast.Query: + """ + Build materialization query (based on configured temporal partitions). + """ + cube_materialization_query_ast = parse( + base_cube_query.replace("${dj_logical_timestamp}", "DJ_LOGICAL_TIMESTAMP()"), + ) + final_query = ast.Query( + select=ast.Select( + projection=[ + ast.Column(name=ast.Name(col.alias_or_name.name)) # type: ignore + for col in cube_materialization_query_ast.select.projection + ], + ), + ctes=cube_materialization_query_ast.ctes, + ) + + if materialization.strategy == MaterializationStrategy.INCREMENTAL_TIME: + temporal_partitions = node_revision.temporal_partition_columns() + temporal_partition_col = [ + col + for col in cube_materialization_query_ast.select.projection + if col.alias_or_name.name == amenable_name(temporal_partitions[0].name) # type: ignore + ] + temporal_op = ( + ast.BinaryOp( + left=ast.Column( + name=ast.Name(temporal_partition_col[0].alias_or_name.name), # type: ignore + ), + right=temporal_partitions[0].partition.temporal_expression(), + op=ast.BinaryOpKind.Eq, + ) + if not materialization.config["lookback_window"] + else ast.Between( + expr=ast.Column( + name=ast.Name( + temporal_partition_col[0].alias_or_name.name, # type: ignore + ), + ), + low=temporal_partitions[0].partition.temporal_expression( + interval=materialization.config["lookback_window"], + ), + high=temporal_partitions[0].partition.temporal_expression(), + ) + ) + + categorical_partitions = node_revision.categorical_partition_columns() + if categorical_partitions: + categorical_partition_col = [ + col + for col in cube_materialization_query_ast.select.projection + if col.alias_or_name.name # type: ignore + == amenable_name(categorical_partitions[0].name) # type: ignore + ] + categorical_op = ast.BinaryOp( + left=ast.Column( + name=ast.Name(categorical_partition_col[0].alias_or_name.name), # type: ignore + ), + right=categorical_partitions[0].partition.categorical_expression(), + op=ast.BinaryOpKind.Eq, + ) + final_query.select.where = ast.BinaryOp( + left=temporal_op, + right=categorical_op, + op=ast.BinaryOpKind.And, + ) + else: + final_query.select.where = temporal_op + + combiner_cte = ast.Query(select=cube_materialization_query_ast.select).set_alias( + ast.Name("combiner_query"), + ) + combiner_cte.parenthesized = True + combiner_cte.as_ = True + combiner_cte.parent = final_query + combiner_cte.parent_key = "ctes" + final_query.ctes += [combiner_cte] + final_query.select.from_ = ast.From( + relations=[ast.Relation(primary=ast.Table(name=ast.Name("combiner_query")))], + ) + return final_query diff --git a/datajunction-server/datajunction_server/materialization/jobs/job_types.py b/datajunction-server/datajunction_server/materialization/jobs/job_types.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/materialization/jobs/materialization_job.py b/datajunction-server/datajunction_server/materialization/jobs/materialization_job.py new file mode 100644 index 000000000..cdceea3e0 --- /dev/null +++ b/datajunction-server/datajunction_server/materialization/jobs/materialization_job.py @@ -0,0 +1,187 @@ +""" +Available materialization jobs. +""" + +import abc +from typing import Dict, List, Optional + +from datajunction_server.database.materialization import Materialization +from datajunction_server.models.engine import Dialect +from datajunction_server.models.materialization import ( + GenericMaterializationConfig, + GenericMaterializationInput, + MaterializationInfo, + MaterializationStrategy, +) +from datajunction_server.models.partition import PartitionBackfill +from datajunction_server.naming import amenable_name +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.utils import get_settings + +settings = get_settings() + + +class MaterializationJob(abc.ABC): + """ + Base class for a materialization job + """ + + dialect: Optional[Dialect] = None + + def __init__(self): ... + + def run_backfill( + self, + materialization: Materialization, + partitions: List[PartitionBackfill], + query_service_client: QueryServiceClient, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Kicks off a backfill based on the spec using the query service + """ + return query_service_client.run_backfill( + materialization.node_revision.name, + materialization.node_revision.version, + materialization.node_revision.type, + materialization.name, # type: ignore + partitions, + request_headers=request_headers, + ) + + @abc.abstractmethod + def schedule( + self, + materialization: Materialization, + query_service_client: QueryServiceClient, + ) -> MaterializationInfo: + """ + Schedules the materialization job, typically done by calling a separate service + with the configured materialization parameters. + """ + + +class SparkSqlMaterializationJob( # pragma: no cover + MaterializationJob, +): + """ + Spark SQL materialization job. + """ + + dialect = Dialect.SPARK + + def schedule( + self, + materialization: Materialization, + query_service_client: QueryServiceClient, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Placeholder for the actual implementation. + """ + generic_config = GenericMaterializationConfig.model_validate( + materialization.config, + ) + temporal_partitions = materialization.node_revision.temporal_partition_columns() + query_ast = parse( + generic_config.query.replace( + settings.dj_logical_timestamp_format, + "DJ_LOGICAL_TIMESTAMP()", + ), + ) + final_query = query_ast + if ( + temporal_partitions + and materialization.strategy == MaterializationStrategy.INCREMENTAL_TIME + ): + temporal_partition_col = [ + col + for col in query_ast.select.projection + if col.alias_or_name.name.endswith(temporal_partitions[0].name) # type: ignore + ] + temporal_op = ( + ast.BinaryOp( + left=ast.Column( + name=ast.Name( + temporal_partition_col[0].alias_or_name.name, # type: ignore + ), + ), + right=temporal_partitions[0].partition.temporal_expression(), + op=ast.BinaryOpKind.Eq, + ) + if not generic_config.lookback_window + else ast.Between( + expr=ast.Column( + name=ast.Name( + temporal_partition_col[0].alias_or_name.name, # type: ignore + ), + ), + low=temporal_partitions[0].partition.temporal_expression( + interval=generic_config.lookback_window, + ), + high=temporal_partitions[0].partition.temporal_expression(), + ) + ) + final_query = ast.Query( + select=ast.Select( + projection=[ + ast.Column(name=ast.Name(col.alias_or_name.name)) # type: ignore + for col in query_ast.select.projection + ], + from_=query_ast.select.from_, + where=temporal_op, + ), + ctes=query_ast.ctes, + ) + + categorical_partitions = ( + materialization.node_revision.categorical_partition_columns() + ) + if categorical_partitions: + categorical_partition_col = [ + col + for col in final_query.select.projection + if col.alias_or_name.name # type: ignore + == amenable_name(categorical_partitions[0].name) # type: ignore + ] + categorical_op = ast.BinaryOp( + left=ast.Column( + name=ast.Name( + categorical_partition_col[0].alias_or_name.name, # type: ignore + ), + ), + right=categorical_partitions[0].partition.categorical_expression(), + op=ast.BinaryOpKind.Eq, + ) + final_query.select.where = ast.BinaryOp( + left=temporal_op, + right=categorical_op, + op=ast.BinaryOpKind.And, + ) + + result = query_service_client.materialize( + GenericMaterializationInput( + name=materialization.name, # type: ignore + node_name=materialization.node_revision.name, + node_version=materialization.node_revision.version, + node_type=materialization.node_revision.type.value, + job=materialization.job, + strategy=materialization.strategy, + lookback_window=generic_config.lookback_window, + schedule=materialization.schedule, + query=str(final_query), + upstream_tables=generic_config.upstream_tables, + spark_conf=generic_config.spark.root if generic_config.spark else {}, + columns=generic_config.columns, + partitions=( + generic_config.temporal_partition(materialization.node_revision) + + generic_config.categorical_partitions( + materialization.node_revision, + ) + ), + ), + request_headers=request_headers, + ) + return result diff --git a/datajunction-server/datajunction_server/models/__init__.py b/datajunction-server/datajunction_server/models/__init__.py new file mode 100644 index 000000000..42cef24bb --- /dev/null +++ b/datajunction-server/datajunction_server/models/__init__.py @@ -0,0 +1,3 @@ +""" +All models. +""" diff --git a/datajunction-server/datajunction_server/models/access.py b/datajunction-server/datajunction_server/models/access.py new file mode 100644 index 000000000..a74a99d9b --- /dev/null +++ b/datajunction-server/datajunction_server/models/access.py @@ -0,0 +1,97 @@ +""" +Models for authorization +""" + +from dataclasses import dataclass + +from datajunction_server.typing import StrEnum +from datajunction_server.database.node import Node, NodeRevision + + +class ResourceType(StrEnum): + """ + Types of resources + """ + + NODE = "node" + NAMESPACE = "namespace" + + +class ResourceAction(StrEnum): + """ + Actions that can be performed on resources + """ + + READ = "read" # View details + list/browse (merge BROWSE into READ) + WRITE = "write" # Create/update resources + EXECUTE = "execute" # Run queries against nodes + DELETE = "delete" # Delete resources (keep for safety/auditability) + MANAGE = "manage" # Grant/revoke permissions (RBAC-specific) + + +@dataclass(frozen=True) +class Resource: + """ + Base class for resource objects + that are passed to injected validation logic + """ + + name: str + resource_type: ResourceType + + def __hash__(self) -> int: + return hash((self.name, self.resource_type)) + + @classmethod + def from_node(cls, node: NodeRevision | Node) -> "Resource": + """ + Create a resource object from a DJ Node + """ + return cls(name=node.name, resource_type=ResourceType.NODE) + + @classmethod + def from_namespace(cls, namespace: str) -> "Resource": + """ + Create a resource object from a namespace + """ + return cls(name=namespace, resource_type=ResourceType.NAMESPACE) + + +@dataclass(frozen=True) +class ResourceRequest: + """ + Resource Requests provide the information + that is available to grant access to a resource + """ + + verb: ResourceAction + access_object: Resource + + def __hash__(self) -> int: + return hash((self.verb, self.access_object)) + + def __eq__(self, other) -> bool: + return self.verb == other.verb and self.access_object == other.access_object + + def __str__(self) -> str: + return ( + f"{self.verb.value}:" + f"{self.access_object.resource_type.value}/" + f"{self.access_object.name}" + ) + + +@dataclass(frozen=True) +class AccessDecision: + """ + The result of an access control check for a resource request. + + Attributes: + request: The resource request that was checked + approved: Whether access was granted + reason: Optional explanation if access was denied + """ + + request: ResourceRequest + approved: bool + reason: str | None = None diff --git a/datajunction-server/datajunction_server/models/attribute.py b/datajunction-server/datajunction_server/models/attribute.py new file mode 100644 index 000000000..d859b2dec --- /dev/null +++ b/datajunction-server/datajunction_server/models/attribute.py @@ -0,0 +1,60 @@ +""" +Models for attributes. +""" + +from enum import Enum +from typing import List, Optional + +from pydantic.main import BaseModel +from pydantic import ConfigDict + +from datajunction_server.enum import StrEnum +from datajunction_server.models.node_type import NodeType + +RESERVED_ATTRIBUTE_NAMESPACE = "system" + + +class AttributeTypeIdentifier(BaseModel): + """ + Fields that can be used to identify an attribute type. + """ + + namespace: str = RESERVED_ATTRIBUTE_NAMESPACE + name: str + + +class UniquenessScope(StrEnum): + """ + The scope at which this attribute needs to be unique. + """ + + NODE = "node" + COLUMN_TYPE = "column_type" + + +class MutableAttributeTypeFields(AttributeTypeIdentifier): + """ + Fields on attribute types that users can set. + """ + + description: str + allowed_node_types: List[NodeType] + uniqueness_scope: Optional[List[UniquenessScope]] = None + + +class AttributeTypeBase(MutableAttributeTypeFields): + """Base attribute type.""" + + id: int + + model_config = ConfigDict(from_attributes=True) + + +class ColumnAttributes(str, Enum): + """ + Managed by default column attributes + """ + + PRIMARY_KEY = "primary_key" + DIMENSION = "dimension" + HIDDEN = "hidden" diff --git a/datajunction-server/datajunction_server/models/base.py b/datajunction-server/datajunction_server/models/base.py new file mode 100644 index 000000000..13a4f4feb --- /dev/null +++ b/datajunction-server/datajunction_server/models/base.py @@ -0,0 +1,19 @@ +""" +A base SQLModel class with a default naming convention. +""" + +NAMING_CONVENTION = { + "ix": "ix_%(column_0_label)s", + "uq": "uq_%(table_name)s_%(column_0_name)s", + "ck": "ck_%(table_name)s_%(auto_constraint_name)s", + "fk": "fk_%(table_name)s_%(column_0_name)s_%(referred_table_name)s", + "pk": "pk_%(table_name)s", +} + + +def labelize(value: str) -> str: + """ + Turn a system name into a human-readable name. + """ + + return value.replace(".", ": ").replace("_", " ").title() diff --git a/datajunction-server/datajunction_server/models/catalog.py b/datajunction-server/datajunction_server/models/catalog.py new file mode 100644 index 000000000..6544eeffe --- /dev/null +++ b/datajunction-server/datajunction_server/models/catalog.py @@ -0,0 +1,24 @@ +""" +Models for columns. +""" + +from typing import TYPE_CHECKING, List, Optional + +from pydantic.main import BaseModel +from pydantic import ConfigDict, Field + +from datajunction_server.models.engine import EngineInfo + +if TYPE_CHECKING: + pass + + +class CatalogInfo(BaseModel): + """ + Class for catalog creation + """ + + name: str + engines: Optional[List[EngineInfo]] = Field(default_factory=list) + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/collection.py b/datajunction-server/datajunction_server/models/collection.py new file mode 100644 index 000000000..7349c13ad --- /dev/null +++ b/datajunction-server/datajunction_server/models/collection.py @@ -0,0 +1,35 @@ +""" +Models for collections +""" + +from typing import Optional + +from pydantic.main import BaseModel +from pydantic import ConfigDict + +from datajunction_server.models.node import NodeNameOutput + + +class CollectionInfo(BaseModel): + """ + Class for a collection information + """ + + id: Optional[int] = None + name: str + description: str + + model_config = ConfigDict(from_attributes=True) + + +class CollectionDetails(CollectionInfo): + """ + Collection information with details + """ + + id: Optional[int] = None + name: str + description: str + nodes: list[NodeNameOutput] + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/column.py b/datajunction-server/datajunction_server/models/column.py new file mode 100644 index 000000000..620c9d5d3 --- /dev/null +++ b/datajunction-server/datajunction_server/models/column.py @@ -0,0 +1,65 @@ +""" +Models for columns. +""" + +from typing import Optional, TypedDict + +from pydantic.main import BaseModel +from sqlalchemy import TypeDecorator +from sqlalchemy.types import Text + +from datajunction_server.enum import StrEnum +from datajunction_server.sql.parsing.types import ColumnType + + +class ColumnYAML(TypedDict, total=False): + """ + Schema of a column in the YAML file. + """ + + type: str + dimension: str + description: str + + +class ColumnTypeDecorator(TypeDecorator): + """ + Converts a column type from the database to a `ColumnType` class + """ + + impl = Text + cache_ok = True + + def process_bind_param(self, value: ColumnType, dialect): + return str(value) + + def process_result_value(self, value, dialect): + from datajunction_server.sql.parsing.backends.antlr4 import parse_rule + + if not value: + return value + try: + return parse_rule(value, "dataType") + except Exception: # pragma: no cover + return value # pragma: no cover + + +class ColumnAttributeInput(BaseModel): + """ + A column attribute input + """ + + attribute_type_namespace: Optional[str] = "system" + attribute_type_name: str + column_name: str + + +class SemanticType(StrEnum): + """ + Semantic type of a column + """ + + MEASURE = "measure" + METRIC = "metric" + DIMENSION = "dimension" + TIMESTAMP = "timestamp" diff --git a/datajunction-server/datajunction_server/models/cube.py b/datajunction-server/datajunction_server/models/cube.py new file mode 100644 index 000000000..f3d5cb6b4 --- /dev/null +++ b/datajunction-server/datajunction_server/models/cube.py @@ -0,0 +1,168 @@ +""" +Models for cubes. +""" + +from typing import List, Optional + +from pydantic import Field, model_validator, ConfigDict +from pydantic.main import BaseModel + +from datajunction_server.naming import SEPARATOR, from_amenable_name, amenable_name +from datajunction_server.models.materialization import MaterializationConfigOutput +from datajunction_server.models.measure import ( + FrozenMeasureKey, + NodeRevisionNameVersion, +) +from datajunction_server.models.node import ( + AvailabilityStateBase, + ColumnOutput, + NodeMode, + NodeStatus, +) +from datajunction_server.database.node import NodeRevision +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import PartitionOutput +from datajunction_server.models.tag import TagOutput +from datajunction_server.typing import UTCDatetime + + +class MetricMeasures(BaseModel): + metric: NodeRevisionNameVersion + frozen_measures: list[FrozenMeasureKey] + + +class CubeElementMetadata(BaseModel): + """ + Metadata for an element in a cube + """ + + name: str + display_name: str + node_name: str + type: str + partition: Optional[PartitionOutput] = None + + @model_validator(mode="before") + def type_string(cls, values): + """ + Extracts the type as a string + """ + if isinstance(values, dict): + return values + + # Create a new dict, don't modify the original object or it could + # overwrite the SQLAlchemy model + data = {} + if hasattr(values, "__dict__"): # pragma: no cover + data.update(values.__dict__) + + if hasattr(values, "node_revision"): # pragma: no cover + data["node_name"] = values.node_revision.name + data["type"] = ( + values.node_revision.type + if values.node_revision.type == NodeType.METRIC + else NodeType.DIMENSION + ) + return data + + model_config = ConfigDict(from_attributes=True) + + def derive_sql_column(self) -> ColumnOutput: + """ + Derives the column name in the generated Cube SQL based on the CubeElement + """ + query_column_name = ( + self.name + if self.type == "metric" + else amenable_name( + f"{self.node_name}{SEPARATOR}{self.name}", + ) + ) + return ColumnOutput( + name=query_column_name, + display_name=self.display_name, + type=self.type, + ) + + +class CubeRevisionMetadata(BaseModel): + """ + Metadata for a cube node + """ + + id: int = Field(alias="node_revision_id") + node_id: int + type: NodeType + name: str + display_name: str + version: str + status: NodeStatus + mode: NodeMode + description: str = "" + availability: Optional[AvailabilityStateBase] = None + cube_elements: List[CubeElementMetadata] + cube_node_metrics: List[str] + cube_node_dimensions: List[str] + query: Optional[str] = None + columns: List[ColumnOutput] + sql_columns: Optional[List[ColumnOutput]] = None + updated_at: UTCDatetime + materializations: List[MaterializationConfigOutput] + tags: Optional[List[TagOutput]] = None + measures: list[MetricMeasures] | None = None + + model_config = ConfigDict( + from_attributes=True, + populate_by_name=True, + ) + + @classmethod + def from_cube_revision(cls, cube: "NodeRevision"): + """ + Converts a cube node revision into a cube revision metadata object + """ + # Preserve the ordering of elements + element_ordering = {col.name: col.order for col in cube.columns} + cube.cube_elements = sorted( + cube.cube_elements, + key=lambda elem: element_ordering.get(from_amenable_name(elem.name), 0), + ) + + # Parse the database object into a pydantic object + cube_metadata = cls.model_validate(cube) + + # Populate metric measures + cube_metadata.measures = [] + for node_revision in cube.metric_node_revisions(): + if node_revision: # pragma: no cover + cube_metadata.measures.append( + MetricMeasures( + metric=node_revision, + frozen_measures=node_revision.frozen_measures, + ), + ) + + cube_metadata.tags = cube.node.tags + cube_metadata.sql_columns = [ + element.derive_sql_column() for element in cube_metadata.cube_elements + ] + return cube_metadata + + +class DimensionValue(BaseModel): + """ + Dimension value and count + """ + + value: List[str] + count: Optional[int] + + +class DimensionValues(BaseModel): + """ + Dimension values + """ + + dimensions: List[str] + values: List[DimensionValue] + cardinality: int diff --git a/datajunction-server/datajunction_server/models/cube_materialization.py b/datajunction-server/datajunction_server/models/cube_materialization.py new file mode 100644 index 000000000..368d2a97b --- /dev/null +++ b/datajunction-server/datajunction_server/models/cube_materialization.py @@ -0,0 +1,709 @@ +"""Models related to cube materialization""" + +import hashlib +from typing import Any, Dict, List, Optional, Union, Literal + +from pydantic import BaseModel, Field, field_validator, computed_field + +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.column import SemanticType +from datajunction_server.models.decompose import ( + Aggregability, + AggregationRule, + DecomposedMetric, + MetricComponent, +) +from datajunction_server.models.materialization import ( + DRUID_AGG_MAPPING, + MaterializationJobTypeEnum, + MaterializationStrategy, +) +from datajunction_server.models.node_type import NodeNameVersion +from datajunction_server.models.partition import Granularity +from datajunction_server.models.query import ColumnMetadata + +# Re-export for backward compatibility +__all__ = [ + "Aggregability", + "AggregationRule", + "DecomposedMetric", + "MetricComponent", +] + + +class MetricMeasures(BaseModel): + """ + Represent a metric as a set of measures, along with the expression for + combining the measures to make the metric. + """ + + metric: str + measures: List[MetricComponent] + combiner: str + + +class DruidSpec(BaseModel): + """ + Represents Druid-specific configuration for a MeasuresMaterialization. + """ + + datasource: str = Field(description="The Druid datasource name.") + ingestion_spec: Dict = Field( + description="Druid ingestion spec for the materialization.", + ) + + +class MeasuresMaterialization(BaseModel): + """ + Represents a single pre-aggregation transform query for materializing a partition. + """ + + node: NodeNameVersion = Field(description="The node being materialized") + grain: list[str] = Field( + description="The grain at which the node is being materialized.", + ) + dimensions: list[str] = Field( + description="List of dimensions included in this materialization.", + ) + measures: list[MetricComponent] = Field( + description="List of measures included in this materialization.", + ) + query: str = Field( + description="The query used for each materialization run.", + ) + + columns: list[ColumnMetadata] + + timestamp_column: str | None = Field(description="Timestamp column name") + timestamp_format: str | None = Field( + description="Timestamp format. Example: `yyyyMMdd`", + ) + + granularity: Granularity | None = Field( + description="The time granularity for each materialization run. Examples: DAY, HOUR", + ) + + spark_conf: Dict[str, str] | None = Field( + description="Spark config for this materialization.", + ) + upstream_tables: list[str] = Field( + description="List of upstream tables used in this materialization.", + ) + + def table_ast(self): + """ + Generate a unique output table name based on the parameters. + """ + from datajunction_server.sql.parsing import ast + + return ast.Table(name=ast.Name(self.output_table_name)) + + @computed_field # type: ignore[misc] + @property + def output_table_name(self) -> str: + """ + Generate a unique output table name based on the parameters. + """ + unique_string = "|".join( + [ + self.node.name, + str(self.node.version), + self.timestamp_column or "", + ",".join(sorted(self.grain)), + ",".join(sorted(self.dimensions)), + ",".join(sorted([measure.name for measure in self.measures])), + ], + ) + unique_hash = hashlib.sha256(unique_string.encode()).hexdigest()[:16] + return f"{self.node.name}_{self.node.version}_{unique_hash}".replace(".", "_") + + def model_dump(self, **kwargs): # pragma: no cover + base = super().model_dump(**kwargs) + base["output_table_name"] = self.output_table_name + return base + + @classmethod + def from_measures_query(cls, measures_query, temporal_partition): + """ + Builds a MeasuresMaterialization object from a measures query. + """ + metric_components = list( + { + component.name: component + for metric, (components, combiner) in measures_query.metrics.items() + for component in components + }.values(), + ) + dimensional_metric_components = [ + component.name + for component in metric_components + if not component.aggregation + ] + return MeasuresMaterialization( + node=measures_query.node, + grain=measures_query.grain, + columns=measures_query.columns, + timestamp_column=[ + col.name + for col in measures_query.columns + if col.semantic_entity == temporal_partition.name + ][0], + timestamp_format=temporal_partition.partition.format, + granularity=temporal_partition.partition.granularity, + query=measures_query.sql, + dimensions=[ + col.name + for col in measures_query.columns # type: ignore + if col.semantic_type == SemanticType.DIMENSION + ] + + dimensional_metric_components, + measures=metric_components, + spark_conf=measures_query.spark_conf, + upstream_tables=measures_query.upstream_tables, + ) + + +class MeasureKey(BaseModel): + """ + Lookup key for a measure + """ + + node: NodeNameVersion + measure_name: str + + +class CubeMetric(BaseModel): + """ + Represents a metric belonging to a cube. + """ + + metric: NodeNameVersion = Field(description="The name and version of the metric.") + required_measures: list[MeasureKey] = Field( + description="List of measures required by this metric.", + ) + derived_expression: str = Field( + description=( + "The query for rewriting the original metric query " + "using the materialized measures." + ), + ) + metric_expression: str = Field( + description=( + "SQL expression for rewriting the original metric query " + "using the materialized measures." + ), + ) + + +class UpsertCubeMaterialization(BaseModel): + """ + An upsert object for cube materializations + """ + + # For cubes this is the only materialization type we support + job: Literal["druid_cube"] + + # Only FULL or INCREMENTAL_TIME is available for cubes + strategy: MaterializationStrategy = MaterializationStrategy.INCREMENTAL_TIME + + # Cron schedule + schedule: str + + # Configuration for the materialization (optional for compatibility) + config: Dict[str, Any] | None = None + + # Lookback window, only relevant if materialization strategy is INCREMENTAL_TIME + lookback_window: str | None = "1 DAY" + + @field_validator("job") + def validate_job( + cls, + job: Union[str, MaterializationJobTypeEnum], + ) -> MaterializationJobTypeEnum: + """ + Validates the `job` field. Converts to an enum if `job` is a string. + """ + if isinstance(job, str): # pragma: no cover + job_name = job.upper() + options = MaterializationJobTypeEnum._member_names_ + if job_name not in options: + raise DJInvalidInputException( + http_status_code=404, + message=f"Materialization job type `{job.upper()}` not found. " + f"Available job types: {[job.name for job in MaterializationJobTypeEnum]}", + ) + return MaterializationJobTypeEnum[job_name] + return job # pragma: no cover + + +class CombineMaterialization(BaseModel): + """ + Stage for combining measures datasets at their shared grain and ingesting to Druid. + Note that if there is only one upstream measures dataset, the Spark combining stage will + be skipped and we ingest the aggregated measures directly to Druid. + """ + + node: NodeNameVersion + query: str | None = None + columns: List[ColumnMetadata] + grain: list[str] = Field( + description="The grain at which the node is being materialized.", + ) + dimensions: list[str] = Field( + description="List of dimensions included in this materialization.", + ) + measures: list[MetricComponent] = Field( + description="List of measures included in this materialization.", + ) + + timestamp_column: str | None = Field( + description="Timestamp column name", + default=None, + ) + timestamp_format: str | None = Field( + description="Timestamp format. Example: `yyyyMMdd`", + default=None, + ) + + granularity: Granularity | None = Field( + description="The time granularity for each materialization run. Examples: DAY, HOUR", + default=None, + ) + upstream_tables: list[str] = Field(default_factory=list) + + @computed_field # type: ignore[misc] + @property + def output_table_name(self) -> str: + """ + Builds an output table name based on the node and a hash of its unique key. + """ + unique_string = "|".join( + [ + self.node.name, + str(self.node.version), + self.timestamp_column or "", + ",".join(sorted(self.grain)), + ",".join(sorted(self.dimensions)), + ",".join(sorted([measure.name for measure in self.measures])), + ], + ) + unique_hash = hashlib.sha256(unique_string.encode()).hexdigest()[:16] + return f"{self.node.name}_{self.node.version}_{unique_hash}".replace(".", "_") + + def metrics_spec(self) -> list[dict[str, Any]]: + """ + Returns the Druid metrics spec for ingestion + """ + column_mapping = {col.name: col.type for col in self.columns} # type: ignore + return [ + { + "fieldName": measure.name, + "name": measure.name, + "type": DRUID_AGG_MAPPING[ + (column_mapping[measure.name], measure.aggregation.lower()) + ], + } + for measure in self.measures + if measure.aggregation + and ( + column_mapping.get(measure.name), + measure.aggregation.lower(), + ) + in DRUID_AGG_MAPPING + ] + + @computed_field # type: ignore[misc] + @property + def druid_spec(self) -> str: + """ + Builds the Druid ingestion spec based on the materialization config. + """ + return self.build_druid_spec() + + def build_druid_spec(self): + """ + Builds the Druid ingestion spec from a materialization config. + """ + # A temporal partition should be configured on the cube, raise an error if not + if not self.timestamp_column: + raise DJInvalidInputException( # pragma: no cover + "There must be at least one time-based partition configured" + " on this cube or it cannot be materialized to Druid.", + ) + + druid_datasource_name = f"dj__{self.output_table_name}" + + # if there are categorical partitions, we can additionally include one of them + # in the partitionDimension field under partitionsSpec + druid_spec: Dict = { + "dataSchema": { + "dataSource": druid_datasource_name, + "parser": { + "parseSpec": { + "format": "parquet", + "dimensionsSpec": { + "dimensions": sorted( + list(set(self.dimensions)), # type: ignore + ), + }, + "timestampSpec": { + "column": self.timestamp_column, + "format": self.timestamp_format, + }, + }, + }, + "metricsSpec": self.metrics_spec(), + "granularitySpec": { + "type": "uniform", + "segmentGranularity": str(self.granularity).upper(), + "intervals": [], # this should be set at runtime + }, + }, + "tuningConfig": { + "partitionsSpec": { + "targetPartitionSize": 5000000, + "type": "hashed", + }, + "useCombiner": True, + "type": "hadoop", + }, + } + return druid_spec + + def model_dump(self, **kwargs): # pragma: no cover + base = super().model_dump(**kwargs) + base["druid_spec"] = self.build_druid_spec() + base["output_table_name"] = self.output_table_name + return base + + +class DruidCubeConfig(BaseModel): + """ + Represents a DruidCube job that contains multiple MeasuresMaterialization configurations. + """ + + cube: NodeNameVersion + + dimensions: list[str] + metrics: list[CubeMetric] + + # List of MeasuresMaterialization configurations. + measures_materializations: List[MeasuresMaterialization] + + # List of materializations used to combine measures outputs. For hyper efficient + # Druid queries, there should ideally only be a single one, but this may not be + # possible for metrics at different levels. + combiners: list[CombineMaterialization] + + +class DruidCubeMaterializationInput(BaseModel): + """ + Materialization info as passed to the query service. + """ + + name: str + + # Frozen cube info at the time of materialization + cube: NodeNameVersion + dimensions: list[str] + metrics: list[CubeMetric] + + # Materialization metadata + strategy: MaterializationStrategy + schedule: str + job: str + lookback_window: Optional[str] = "1 DAY" + + # List of measures materializations + measures_materializations: List[MeasuresMaterialization] + + # List of materializations used to combine measures outputs. For hyper efficient + # Druid queries, there should ideally only be a single one, but this may not be + # possible for metrics at different levels. + combiners: list[CombineMaterialization] + + +# ============================================================================= +# V2: Pre-agg based cube materialization +# ============================================================================= + + +class CubeMaterializeRequest(BaseModel): + """ + Request for creating a cube materialization workflow. + + This creates a Druid workflow that: + 1. Waits for pre-agg tables to be available (VTTS) + 2. Runs combined SQL that reads from pre-agg tables + 3. Ingests the combined data into Druid + """ + + schedule: str = Field( + description="Cron schedule for the materialization (e.g., '0 0 * * *' for daily)", + ) + strategy: MaterializationStrategy = Field( + default=MaterializationStrategy.INCREMENTAL_TIME, + description="Materialization strategy (FULL or INCREMENTAL_TIME)", + ) + lookback_window: str = Field( + default="1 DAY", + description="Lookback window for incremental materialization", + ) + druid_datasource: Optional[str] = Field( + default=None, + description="Custom Druid datasource name. Defaults to 'dj__{cube_name}'", + ) + run_backfill: bool = Field( + default=True, + description="Whether to run an initial backfill", + ) + + +class PreAggTableInfo(BaseModel): + """Information about a pre-agg table used by the cube.""" + + table_ref: str = Field( + description="Full table reference (catalog.schema.table)", + ) + parent_node: str = Field( + description="Parent node name this pre-agg is derived from", + ) + grain: List[str] = Field( + description="Grain columns for this pre-agg", + ) + + +class CubeMaterializeResponse(BaseModel): + """ + Response from cube materialization endpoint. + + Contains all information needed to create and execute the Druid cube workflow: + - Pre-agg table dependencies for VTTS waits + - Combined SQL for Druid ingestion + - Druid spec for ingestion configuration + """ + + # Cube info + cube: NodeNameVersion + druid_datasource: str + + # Pre-agg dependencies - the Druid workflow should wait for these + preagg_tables: List[PreAggTableInfo] + + # Combined SQL that reads from pre-agg tables + combined_sql: str + combined_columns: List[ColumnMetadata] + combined_grain: List[str] + + # Druid ingestion spec + druid_spec: Dict + + # Materialization config + strategy: MaterializationStrategy + schedule: str + lookback_window: str + + # Metric combiner expressions (metric_name -> combiner SQL) + metric_combiners: Dict[str, str] = Field( + default_factory=dict, + description="Mapping of metric names to their combiner SQL expressions", + ) + + # Workflow info + workflow_urls: List[str] = Field( + default_factory=list, + description="URLs to the created workflows (if any)", + ) + + # Status + message: str + + +class CubeMaterializationV2Input(BaseModel): + """ + Input for creating a v2 cube materialization workflow (sent to query service). + + This creates a workflow that: + 1. Waits for pre-agg tables to be available (via VTTS) + 2. Runs combined SQL that reads from pre-agg tables + 3. Ingests the result to Druid + """ + + # Cube identity + cube_name: str = Field(description="Full cube name (e.g., 'default.my_cube')") + cube_version: str = Field(description="Cube version") + + # Pre-agg table dependencies + preagg_tables: List[PreAggTableInfo] = Field( + description="List of pre-agg tables the Druid ingestion depends on", + ) + + # Combined SQL + combined_sql: str = Field( + description="SQL that combines pre-agg tables (FULL OUTER JOIN + COALESCE)", + ) + combined_columns: List[ColumnMetadata] = Field( + description="Output columns of the combined SQL", + ) + combined_grain: List[str] = Field( + description="Shared grain of the combined query", + ) + + # Druid config + druid_datasource: str = Field( + description="Target Druid datasource name", + ) + druid_spec: Dict = Field( + description="Druid ingestion spec", + ) + + # Temporal partition info (for incremental) + timestamp_column: str = Field( + description="Name of the timestamp/partition column", + ) + timestamp_format: str = Field( + default="yyyyMMdd", + description="Format of the timestamp column", + ) + + # Materialization config + strategy: MaterializationStrategy = Field( + default=MaterializationStrategy.INCREMENTAL_TIME, + ) + schedule: str = Field( + description="Cron schedule (e.g., '0 0 * * *' for daily)", + ) + lookback_window: str = Field( + default="1 DAY", + description="Lookback window for incremental", + ) + + +class DruidCubeV3Config(BaseModel): + """ + V3 Druid cube materialization config. + + This config is stored in Materialization.config for cubes using the V3 + build path (pre-aggregation based). It's distinct from V2's DruidMeasuresCubeConfig. + + Key differences from V2: + - Uses pre-aggregation tables as intermediate storage + - Stores metric components with their merge functions + - Includes the combined SQL that joins pre-agg tables + + Backwards compatibility: + - `dimensions` computed property aliases `combined_grain` + - `metrics` computed property transforms measure components + - `combiners` computed property wraps columns + """ + + version: Literal["v3"] = Field( + default="v3", + description="Config version discriminator", + ) + + # Druid target + druid_datasource: str = Field( + description="Target Druid datasource name", + ) + + # Pre-agg table dependencies + preagg_tables: List[PreAggTableInfo] = Field( + description="Pre-agg tables the Druid ingestion reads from", + ) + + # Combined SQL info + combined_sql: str = Field( + description="SQL that combines pre-agg tables", + ) + combined_columns: List[ColumnMetadata] = Field( + description="Output columns of the combined SQL", + ) + combined_grain: List[str] = Field( + description="Shared grain columns of the cube", + ) + + # Metric components for Druid metricsSpec + measure_components: List[MetricComponent] = Field( + default_factory=list, + description="Metric components with aggregation/merge info", + ) + component_aliases: Dict[str, str] = Field( + default_factory=dict, + description="Mapping from component name to output column alias", + ) + + # Cube's metric node names (deprecated - use metrics field instead) + cube_metrics: List[str] = Field( + default_factory=list, + description="List of metric node names in the cube", + ) + + # Metrics with their combiner expressions + # This replaces the computed `metrics` property with stored values + metrics: List[Dict[str, Any]] = Field( + default_factory=list, + description="List of metrics with metric_expression for querying the materialized cube", + ) + + # Temporal partition info + timestamp_column: str = Field( + description="Name of the timestamp/partition column", + ) + timestamp_format: str = Field( + default="yyyyMMdd", + description="Format of the timestamp column", + ) + + # Workflow tracking + workflow_urls: List[str] = Field( + default_factory=list, + description="URLs for the materialization workflow", + ) + + @computed_field # type: ignore[misc] + @property + def dimensions(self) -> List[str]: + """ + Backwards compatibility: Returns dimensions (alias for combined_grain). + + DruidCubeConfig expects `config.dimensions` to get the list of + dimension columns for the cube. + """ + return self.combined_grain + + @computed_field # type: ignore[misc] + @property + def combiners(self) -> List[Dict[str, Any]]: + """ + Returns combiners with columns in expected format. + + DruidCubeConfig expects `config.combiners[0].columns` to get column + metadata for building the options.columns mapping. + """ + return [ + { + "columns": [ + { + "name": col.name, + "column": col.semantic_entity or col.name, + } + for col in self.combined_columns + ], + }, + ] + + # ========================================================================= + # Old UI Compatibility: Alias for workflow_urls + # ========================================================================= + + @computed_field # type: ignore[misc] + @property + def urls(self) -> List[str]: + """ + Old UI compatibility: Alias for workflow_urls. + + The old materialization UI looks for `config.urls` to display workflow links. + This computed property provides backwards compatibility. + """ + return self.workflow_urls diff --git a/datajunction-server/datajunction_server/models/database.py b/datajunction-server/datajunction_server/models/database.py new file mode 100644 index 000000000..04bda26e0 --- /dev/null +++ b/datajunction-server/datajunction_server/models/database.py @@ -0,0 +1,28 @@ +""" +Models for databases. +""" + +from typing import TypedDict +from uuid import UUID + +from pydantic.main import BaseModel + +# Schema of a database in the YAML file. +DatabaseYAML = TypedDict( + "DatabaseYAML", + {"description": str, "URI": str, "read-only": bool, "async_": bool, "cost": float}, + total=False, +) + + +class DatabaseOutput(BaseModel): + """ + Output for database information. + """ + + uuid: UUID + name: str + description: str + URI: str + async_: bool + cost: float diff --git a/datajunction-server/datajunction_server/models/decompose.py b/datajunction-server/datajunction_server/models/decompose.py new file mode 100644 index 000000000..48db5fc9f --- /dev/null +++ b/datajunction-server/datajunction_server/models/decompose.py @@ -0,0 +1,139 @@ +""" +Models for metric decomposition. + +This module defines the data models used when decomposing metrics into their +constituent components for pre-aggregation and rollup. + +Key concepts: +- MetricComponent: A single measure with accumulate/merge phases +- DecomposedMetric: A metric broken into components + combiner expression +""" + +from typing import List + +from pydantic import BaseModel + +from datajunction_server.enum import StrEnum + + +class Aggregability(StrEnum): + """ + Type of allowed aggregation for a given metric component. + """ + + FULL = "full" + LIMITED = "limited" + NONE = "none" + + +class MetricRef(BaseModel): + """Reference to a metric with name and display name.""" + + name: str + display_name: str | None = None + + +class AggregationRule(BaseModel): + """ + The aggregation rule for the metric component. + + If the Aggregability type is LIMITED, the `level` should be specified to + highlight the level at which the metric component needs to be aggregated + in order to support the specified aggregation function. + + Example for COUNT(DISTINCT user_id): + It can be decomposed into a single metric component with LIMITED + aggregability, i.e., it is only aggregatable if the component is + calculated at the `user_id` level: + + MetricComponent( + name="num_users", + expression="DISTINCT user_id", + aggregation="COUNT", + rule=AggregationRule(type=LIMITED, level=["user_id"]) + ) + """ + + type: Aggregability = Aggregability.NONE + level: list[str] | None = None + + +class MetricComponent(BaseModel): + """ + A reusable, named building block of a metric definition. + + A MetricComponent represents a SQL expression that can serve as an input + to building a metric. It supports a two-phase aggregation model: + + - Phase 1 (Accumulate): Build from raw data using `aggregation` + Can be a function name ("SUM") or a template ("SUM(POWER({}, 2))") + + - Phase 2 (Merge): Combine pre-aggregated values using `merge` function + Examples: SUM, SUM (for COUNT), hll_union_agg + + For most aggregations, accumulate and merge use the same function (SUM → SUM). + For COUNT, merge is SUM (sum up the counts). + For HLL sketches, they differ: hll_sketch_estimate vs hll_union_agg. + + The final expression combining merged components is specified in + DecomposedMetric.combiner. + + Attributes: + name: A unique name for the component, derived from its expression. + expression: The raw SQL expression (column/value) being aggregated. + aggregation: Function name or template for Phase 1. Simple cases use + just the name ("SUM"), complex cases use templates with + {} placeholder ("SUM(POWER({}, 2))"). + merge: The function name for combining pre-aggregated values (Phase 2). + rule: Aggregation rules defining how/when the component can be aggregated. + """ + + name: str + expression: str + aggregation: str | None # Phase 1: function name or template + merge: str | None = None # Phase 2: merge function name + rule: AggregationRule + + +class PreAggMeasure(MetricComponent): + """ + A metric component stored in a pre-aggregation. + + Extends MetricComponent with an expression hash for identity matching. + This allows finding pre-aggs that contain the same measure even if + the component name differs. + """ + + expr_hash: str | None = None # Hash of expression for identity matching + used_by_metrics: list[MetricRef] | None = None # Metrics that use this measure + + +class DecomposedMetric(BaseModel): + """ + A metric decomposed into its constituent components with a combining expression. + + This is the result of decomposing a metric query. It specifies: + - components: The measures needed for pre-aggregation + - combiner: How to combine merged components into the final metric value + - derived_query: The full SQL query using the combiner + + Examples: + SUM metric: + components: [{name: "revenue_sum", aggregation: "SUM", merge: "SUM"}] + combiner: "SUM(revenue_sum)" + + AVG metric: + components: [ + {name: "revenue_sum", aggregation: "SUM", merge: "SUM"}, + {name: "revenue_count", aggregation: "COUNT", merge: "SUM"} + ] + combiner: "SUM(revenue_sum) / SUM(revenue_count)" + + APPROX_COUNT_DISTINCT metric (uses Spark function names): + components: [{name: "user_hll", aggregation: "hll_sketch_agg", merge: "hll_union"}] + combiner: "hll_sketch_estimate(hll_union(user_hll))" + """ + + components: List[MetricComponent] + combiner: str # Expression combining merged components into final value + derived_query: str | None = None # The full derived query as string diff --git a/datajunction-server/datajunction_server/models/deployment.py b/datajunction-server/datajunction_server/models/deployment.py new file mode 100644 index 000000000..666d69ced --- /dev/null +++ b/datajunction-server/datajunction_server/models/deployment.py @@ -0,0 +1,739 @@ +from enum import Enum +from pydantic import ( + BaseModel, + Field, + PrivateAttr, + ConfigDict, + model_validator, +) + +from typing import Annotated, Any, Literal, Union +from datajunction_server.models.partition import Granularity, PartitionType +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.base import labelize +from datajunction_server.models.dimensionlink import JoinType, LinkType +from datajunction_server.models.node import ( + MetricDirection, + MetricUnit, + NodeMode, + NodeType, +) +from datajunction_server.utils import SEPARATOR + + +class DeploymentStatus(str, Enum): + PENDING = "pending" + RUNNING = "running" + FAILED = "failed" + SUCCESS = "success" + + +class DeploymentSourceType(str, Enum): + """Type of deployment source - git-managed or local/adhoc.""" + + GIT = "git" + LOCAL = "local" + + +class TagSpec(BaseModel): + """ + Specification for a tag + """ + + name: str + display_name: str + description: str = "" + tag_type: str = "" + tag_metadata: dict | None = None + + +class PartitionSpec(BaseModel): + """ + Represents a partition + """ + + type: PartitionType + granularity: Granularity | None = None + format: str | None = None + + +class ColumnSpec(BaseModel): + """ + Represents a column. + + The `type` field is optional - if not provided, DJ will infer the column + type from the query or source definition. This is useful when you only + want to specify metadata (display_name, attributes, description) without + hardcoding the type. + """ + + name: str + type: str | None = None # Optional - DJ infers from query/source if not provided + display_name: str | None = None + description: str | None = None + attributes: list[str] = Field(default_factory=list) + partition: PartitionSpec | None = None + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, ColumnSpec): + return False + return ( + self.name == other.name + and self.type == other.type + and (self.display_name == other.display_name or self.display_name is None) + and self.description == other.description + and set(self.attributes) == set(other.attributes) + and self.partition == other.partition + ) + + +class DimensionLinkSpec(BaseModel): + """ + Specification for a dimension link + """ + + type: LinkType + role: str | None = None + namespace: str | None = Field(default=None, exclude=True) + + def __eq__(self, other: Any) -> bool: + return self.type == other.type and self.role == other.role + + +class DimensionJoinLinkSpec(DimensionLinkSpec): + """ + Specification for a dimension join link + + If a custom `join_on` clause is not specified, DJ will automatically set + this clause to be on the selected column and the dimension node's primary key + """ + + dimension_node: str + type: Literal[LinkType.JOIN] = LinkType.JOIN + + node_column: str | None = None + join_type: JoinType = JoinType.LEFT + join_on: str | None = None + + @property + def rendered_dimension_node(self) -> str: + return ( + render_prefixes(self.dimension_node, self.namespace) + if self.namespace + else self.dimension_node + ) + + @property + def rendered_join_on(self) -> str | None: + return ( + render_prefixes(self.join_on, self.namespace or "") + if self.join_on + else None + ) + + def __hash__(self) -> int: + return hash( + ( + self.type, + self.role, + self.rendered_dimension_node, + self.join_type, + self.rendered_join_on, + self.node_column, + ), + ) + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, DimensionJoinLinkSpec): + return False # pragma: no cover + return ( + super().__eq__(other) + and self.rendered_dimension_node == other.rendered_dimension_node + and self.join_type == other.join_type + and self.rendered_join_on == other.rendered_join_on + and self.node_column == other.node_column + ) + + +class DimensionReferenceLinkSpec(DimensionLinkSpec): + """ + Specification for a dimension reference link + + The `dimension` input should be a fully qualified dimension attribute name, + e.g., "." + """ + + node_column: str + dimension: str + type: Literal[LinkType.REFERENCE] = LinkType.REFERENCE + + @property + def rendered_dimension_node(self) -> str: + raw_dim_node = self.dimension.rsplit(".", 1)[0] + return ( + render_prefixes(raw_dim_node, self.namespace) + if self.namespace + else raw_dim_node + ) + + @property + def dimension_attribute(self) -> str: + return self.dimension.rsplit(".", 1)[-1] + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, DimensionReferenceLinkSpec): + return False + return ( + super().__eq__(other) + and self.rendered_dimension_node == other.rendered_dimension_node + and self.dimension_attribute == other.dimension_attribute + and self.node_column == other.node_column + ) + + +def render_prefixes(parameterized_string: str, prefix: str | None = None) -> str: + """ + Replaces ${prefix} in a string + """ + return parameterized_string.replace( + "${prefix}", + f"{prefix}{SEPARATOR}" if prefix else "", + ) + + +class NodeSpec(BaseModel): + """ + Specification of a node as declared in a deployment. + The name is relative and will be hydrated with the deployment namespace. + """ + + name: str + + # Not user-supplied, gets injected + namespace: str | None = Field(default=None, exclude=True) + + node_type: NodeType + owners: list[str] = Field(default_factory=list) + display_name: str | None = None + description: str | None = None + tags: list[str] = Field(default_factory=list) + mode: NodeMode = NodeMode.PUBLISHED + custom_metadata: dict | None = None + + _query_ast: Any | None = PrivateAttr(default=None) + + model_config = ConfigDict(truncate_errors=False) + + @property + def rendered_name(self) -> str: + if self.namespace: + if "${prefix}" in self.name: # pragma: no cover + return render_prefixes(self.name, self.namespace) + return f"{self.namespace}{SEPARATOR}{self.name}" + return self.name + + @property + def rendered_query(self) -> str | None: + if hasattr(self, "query") and self.query: + query = getattr(self, "query") + return render_prefixes(query, self.namespace) + return None + + @property + def query_ast(self): + """ + Lazily parse and cache the rendered query as an AST. + """ + from datajunction_server.sql.parsing.backends.antlr4 import parse + + if self._query_ast is None and self.rendered_query: + self._query_ast = parse(self.rendered_query) + return self._query_ast + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, NodeSpec): + return False # pragma: no cover + return ( + self.rendered_name == other.rendered_name + and self.node_type == other.node_type + and (self.display_name == other.display_name or self.display_name is None) + and ( + self.description == other.description + or not self.description + and not other.description + ) + and set(self.owners) == set(other.owners) + and set(self.tags) == set(other.tags) + and self.mode == other.mode + and eq_or_fallback(self.custom_metadata, other.custom_metadata, {}) + ) + + def diff(self, other: "NodeSpec") -> list[str]: + """ + Return a list of fields that differ between this and another NodeSpec. + """ + return diff( + self, + other, + ignore_fields=["name", "namespace", "query", "columns"], + ) + + +class LinkableNodeSpec(NodeSpec): + """ + Specification for a node type that can be linked to dimension nodes: + e.g., source, transform, dimension + """ + + columns: list[ColumnSpec] | None = None + dimension_links: list[ + Annotated[ + DimensionJoinLinkSpec | DimensionReferenceLinkSpec, + Field(discriminator="type"), + ] + ] = Field(default_factory=list) + primary_key: list[str] = Field(default_factory=list) + + @model_validator(mode="after") + def set_namespaces(self): + """ + Set namespace on all dimension links + """ + if self.namespace: + for link in self.dimension_links: + link.namespace = self.namespace + return self + + @property + def links_mapping(self) -> dict[tuple[str, str | None], DimensionLinkSpec]: + """Map dimension links by (dimension_node, role)""" + return { + (link.rendered_dimension_node, link.role): link + for link in self.dimension_links + } + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, LinkableNodeSpec): + return False + dimension_links_equal = sorted( + self.dimension_links or [], + key=lambda link: (link.rendered_dimension_node, link.role or ""), + ) == sorted( + other.dimension_links or [], + key=lambda link: (link.rendered_dimension_node, link.role or ""), + ) + return ( + super().__eq__(other) + and eq_columns( + self.columns, + other.columns, + compare_types=True if self.node_type == NodeType.SOURCE else False, + ) + and dimension_links_equal + ) + + +class SourceSpec(LinkableNodeSpec): + """ + Specification for a source node + """ + + node_type: Literal[NodeType.SOURCE] = NodeType.SOURCE + catalog: str + schema_: str | None = Field(alias="schema") + table: str + + model_config = ConfigDict(populate_by_name=True) + + def __eq__(self, other: Any) -> bool: + return super().__eq__(other) and ( + self.catalog == other.catalog + and self.schema_ == other.schema_ + and self.table == other.table + ) + + +class TransformSpec(LinkableNodeSpec): + """ + Specification for a transform node + """ + + node_type: Literal[NodeType.TRANSFORM] = NodeType.TRANSFORM + query: str + + def __eq__(self, other: Any) -> bool: + return super().__eq__(other) and self.query_ast.compare(other.query_ast) + + +class DimensionSpec(LinkableNodeSpec): + """ + Specification for a dimension node + """ + + node_type: Literal[NodeType.DIMENSION] = NodeType.DIMENSION + query: str + + def __eq__(self, other: Any) -> bool: + return super().__eq__(other) and self.query_ast.compare(other.query_ast) + + +class MetricSpec(NodeSpec): + """ + Specification for a metric node + """ + + node_type: Literal[NodeType.METRIC] = NodeType.METRIC + query: str + required_dimensions: list[str] | None = None # Field(default_factory=list) + direction: MetricDirection | None = None + unit_enum: MetricUnit | None = Field(default=None, exclude=True) + + significant_digits: int | None = None + min_decimal_exponent: int | None = None + max_decimal_exponent: int | None = None + + def __init__(self, **data: Any): + unit = data.pop("unit", None) + if unit: + try: + if isinstance(unit, MetricUnit): + data["unit_enum"] = unit + else: + data["unit_enum"] = MetricUnit[ # pragma: no cover + unit.strip().upper() + ] + except KeyError: # pragma: no cover + raise DJInvalidInputException(f"Invalid metric unit: {unit}") + super().__init__(**data) + + @property + def unit(self) -> str | None: + """Return lowercased unit name for JSON serialization.""" + if self.unit_enum is None: # pragma: no cover + return None + return self.unit_enum.value.name.lower() + + def model_dump(self, **kwargs): # pragma: no cover + base = super().model_dump(**kwargs) + base["unit"] = self.unit + return base + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, MetricSpec): + return False + return ( + super().__eq__(other) + and self.query_ast.compare(other.query_ast) + and (self.required_dimensions or []) == (other.required_dimensions or []) + and eq_or_fallback(self.direction, other.direction, MetricDirection.NEUTRAL) + and eq_or_fallback(self.unit, other.unit, MetricUnit.UNKNOWN.value.name) + and self.significant_digits == other.significant_digits + and self.min_decimal_exponent == other.min_decimal_exponent + and self.max_decimal_exponent == other.max_decimal_exponent + ) + + +class CubeSpec(NodeSpec): + """ + Specification for a cube node + """ + + node_type: Literal[NodeType.CUBE] = NodeType.CUBE + metrics: list[str] + dimensions: list[str] = Field(default_factory=dict) + filters: list[str] | None = None + columns: list[ColumnSpec] | None = None + + @property + def rendered_metrics(self) -> list[str]: + return [render_prefixes(metric, self.namespace) for metric in self.metrics] + + @property + def rendered_dimensions(self) -> list[str]: + return [render_prefixes(dim, self.namespace) for dim in self.dimensions] + + @property + def rendered_filters(self) -> list[str]: + return [ + render_prefixes(filter_, self.namespace) for filter_ in self.filters or [] + ] + + @property + def rendered_columns(self) -> list[ColumnSpec]: + """Render column names with namespace prefixes for comparison""" + if not self.columns: + return [] + rendered = [] + for col in self.columns: + rendered_col = col.model_copy() + rendered_col.name = render_prefixes(col.name, self.namespace) + rendered.append(rendered_col) + return rendered + + def __eq__(self, other: Any) -> bool: + return ( + super().__eq__(other) + and eq_columns(self.rendered_columns, other.rendered_columns) + or self.rendered_columns == [] + and set(self.rendered_metrics) == set(other.rendered_metrics) + and set(self.rendered_dimensions) == set(other.rendered_dimensions) + and (self.rendered_filters or []) == (other.rendered_filters or []) + ) + + +NodeUnion = Annotated[ + Union[ + SourceSpec, + TransformSpec, + DimensionSpec, + MetricSpec, + CubeSpec, + ], + Field(discriminator="node_type"), +] + + +def diff(one: BaseModel, two: BaseModel, ignore_fields: list[str] = None) -> list[str]: + """ + Compare two Pydantic models and return a list of fields that have changed. + """ + changed_fields = [ + field + for field in one.model_fields.keys() + if field not in (ignore_fields or []) + and hasattr(one, field) + and hasattr(two, field) + and ( + ( + isinstance(getattr(one, field), (list, dict)) + and { + tuple(sorted(item.model_dump().items())) + if isinstance(item, BaseModel) + else item + for item in getattr(one, field) or [] + } + != { + tuple(sorted(item.model_dump().items())) + if isinstance(item, BaseModel) + else item + for item in getattr(two, field) or [] + } + ) + or ( + not isinstance(getattr(one, field), (list, dict)) + and getattr(one, field) != getattr(two, field) + ) + ) + ] + return changed_fields + + +class GitDeploymentSource(BaseModel): + """ + Deployment from a tracked git repository. + Indicates the source of truth is in version control with CI/CD automation. + """ + + type: Literal[DeploymentSourceType.GIT] = DeploymentSourceType.GIT + repository: str # e.g., "github.com/org/repo" + branch: str | None = None # e.g., "main", "feature/xyz" + commit_sha: str | None = None # e.g., "abc123def456" + ci_system: str | None = None # e.g., "jenkins", "github-actions" + ci_run_url: str | None = None # Link to the CI build/run + + +class LocalDeploymentSource(BaseModel): + """ + Adhoc deployment without a git repository context. + Could be from CLI, direct API calls, scripts, or development/testing. + """ + + type: Literal[DeploymentSourceType.LOCAL] = DeploymentSourceType.LOCAL + # Optional context about the adhoc deployment + hostname: str | None = None # Machine it was run from + reason: str | None = None # Why this adhoc deployment? + + +# Discriminated union - Pydantic will use the 'type' field to determine which model to use +DeploymentSource = Annotated[ + GitDeploymentSource | LocalDeploymentSource, + Field(discriminator="type"), +] + + +class NamespaceSourcesResponse(BaseModel): + """ + Response for the /namespaces/{namespace}/sources endpoint. + Shows the primary deployment source for a namespace. + """ + + namespace: str + primary_source: GitDeploymentSource | LocalDeploymentSource | None = None + total_deployments: int = 0 + + +class BulkNamespaceSourcesRequest(BaseModel): + """ + Request body for fetching sources for multiple namespaces at once. + """ + + namespaces: list[str] = Field( + ..., + description="List of namespace names to fetch sources for", + ) + + +class BulkNamespaceSourcesResponse(BaseModel): + """ + Response for bulk fetching namespace sources. + Maps namespace names to their deployment source info. + """ + + sources: dict[str, NamespaceSourcesResponse] = Field(default_factory=dict) + + +class DeploymentSpec(BaseModel): + """ + Specification of a full deployment (namespace, nodes, tags, and add'l metadata). + Typically hydrated from a project manifest (YAML/JSON/etc). + """ + + namespace: str + nodes: list[NodeUnion] = Field(default_factory=list) + tags: list[TagSpec] = Field(default_factory=list) + source: DeploymentSource | None = None # CI/CD provenance tracking + + @model_validator(mode="after") + def set_namespaces(self): + """ + Set namespace on all node specs and their dimension links + """ + if ( # pragma: no cover + hasattr(self, "nodes") and hasattr(self, "namespace") and self.namespace + ): + for node in self.nodes: + # Set namespace on the node itself + if hasattr(node, "namespace") and not node.namespace: + node.namespace = self.namespace + + # Set namespace on dimension links (for LinkableNodeSpec subclasses) + if hasattr(node, "dimension_links") and node.dimension_links: + for link in node.dimension_links: + if not link.namespace: + link.namespace = self.namespace + return self + + +class VersionedNode(BaseModel): + """ + Node name and version + """ + + name: str + current_version: str + + model_config = ConfigDict(from_attributes=True) + + +class DeploymentResult(BaseModel): + """ + Result of deploying a single node, link, or tag + """ + + class Status(str, Enum): + SUCCESS = "success" + FAILED = "failed" + SKIPPED = "skipped" + + class Operation(str, Enum): + CREATE = "create" + UPDATE = "update" + DELETE = "delete" + NOOP = "noop" + UNKNOWN = "unknown" + + class Type(str, Enum): + NODE = "node" + LINK = "link" + TAG = "tag" + GENERAL = "general" + + name: str + deploy_type: Type + status: Status + operation: Operation + message: str = "" + + +class DeploymentInfo(BaseModel): + """ + Information about a deployment + """ + + uuid: str + namespace: str + status: DeploymentStatus + results: list[DeploymentResult] = Field(default_factory=list) + created_at: str | None = None # ISO datetime + created_by: str | None = None # Username + source: GitDeploymentSource | LocalDeploymentSource | None = None + + +def eq_or_fallback(a, b, fallback): + """ + Helper to compare two values that may be None, with a fallback value + """ + return a == b or (a is None and b == fallback) + + +def eq_columns( + a: list[ColumnSpec] | None, + b: list[ColumnSpec] | None, + compare_types: bool = True, +) -> bool: + """ + Compare two lists of ColumnSpec objects (or None) with special rules: + - None or [] is considered equivalent to a list where every column only has 'primary_key' + in attributes and partition is None. + - If a column is missing display_name or description, it's treated as empty string. + If the compare_types flag is False, the column types will not be compared. + """ + a_map = {col.name: col for col in a or []} + b_map = {col.name: col for col in b or []} + a_cols, b_cols = [], [] + for col_name in set(a_map.keys()).union(set(b_map.keys())): + a_col = a_map.get(col_name).model_copy() if a_map.get(col_name) else None # type: ignore + b_col = b_map.get(col_name).model_copy() if b_map.get(col_name) else None # type: ignore + if not a_col: + a_col = ColumnSpec( + name=col_name, + display_name=labelize(col_name), + type=b_col.type if b_col else "", + attributes=[], + ) + if not a_col.display_name: + a_col.display_name = labelize(col_name) + if not a_col.description: + a_col.description = "" + if not b_col: + b_col = ColumnSpec( # pragma: no cover + name=col_name, + display_name=labelize(col_name), + type=a_col.type if a_col else "", + attributes=[], + ) + if not b_col.display_name: + b_col.display_name = labelize(col_name) + if not b_col.description: # pragma: no cover + b_col.description = "" + if not compare_types: + a_col.type = "" + b_col.type = "" + # Remove primary_key from copies for comparison + if "primary_key" in a_col.attributes: + a_col.attributes = list(set(a_col.attributes) - {"primary_key"}) + if "primary_key" in b_col.attributes: + b_col.attributes = list(set(b_col.attributes) - {"primary_key"}) + a_cols.append(a_col) + b_cols.append(b_col) + return a_cols == b_cols diff --git a/datajunction-server/datajunction_server/models/dialect.py b/datajunction-server/datajunction_server/models/dialect.py new file mode 100644 index 000000000..4a6693978 --- /dev/null +++ b/datajunction-server/datajunction_server/models/dialect.py @@ -0,0 +1,131 @@ +import logging + +from pydantic import BaseModel +from datajunction_server.enum import StrEnum +from datajunction_server.utils import get_settings +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from datajunction_server.transpilation import SQLTranspilationPlugin + + +logger = logging.getLogger(__name__) +settings = get_settings() + + +class Dialect(StrEnum): + """ + SQL dialect + """ + + SPARK = "spark" + TRINO = "trino" + DRUID = "druid" + POSTGRES = "postgres" + CLICKHOUSE = "clickhouse" + DUCKDB = "duckdb" + REDSHIFT = "redshift" + SNOWFLAKE = "snowflake" + SQLITE = "sqlite" + + @classmethod + def _missing_(cls, value: object) -> "Dialect": + """ + Create a Dialect enum member from a string, but only if it corresponds to a + registered transpilation plugin in the plugin registry. If it has a corresponding + plugin, a dynamic enum member is created for the dialect. If not, a ValueError is + raised to prevent the use of unsupported dialects. + """ + if isinstance(value, str): + key = value.lower() + if key in DialectRegistry._registry: + new_member = str.__new__(cls, key) + new_member._name_ = key.upper() + new_member._value_ = key + return new_member + raise ValueError( + f"Dialect '{value}' does not have a registered SQL transpilation plugin that " + "supports it. Please configure a plugin on the server to use this dialect.", + ) + raise TypeError(f"{value!r} is not a valid string for {cls.__name__}") + + +class DialectInfo(BaseModel): + """ + Information about a SQL dialect and its associated plugin class. + """ + + name: str + plugin_class: str + + +class DialectRegistry: + """ + Registry for SQL dialect plugins. + """ + + _registry: dict[str, type["SQLTranspilationPlugin"]] = {} + + @classmethod + def register(cls, dialect_name: str, plugin: type["SQLTranspilationPlugin"]): + """ + Registers a new dialect plugin. + """ + logger.info( + "Registering plugin %s for dialect %s", + plugin.__name__, + dialect_name, + ) + cls._registry[dialect_name.lower()] = plugin + + @classmethod + def get_plugin(cls, dialect_name: str) -> type["SQLTranspilationPlugin"] | None: + """ + Retrieves the plugin class for a given dialect name. + """ + return cls._registry.get(dialect_name.lower()) + + @classmethod + def list(cls) -> list[str]: + """ + A list of supported dialects. + """ + return list(cls._registry.keys()) + + +def register_dialect_plugin(name: str, plugin_cls: type["SQLTranspilationPlugin"]): + """ + Registers a plugin for the given dialect. Skips registration if the plugin is not + configured in the settings. + """ + if plugin_cls.package_name not in settings.transpilation_plugins: + logger.warning( + "Skipping plugin registration for '%s' (%s) (not in configured transpilation plugins: %s)", + name, + plugin_cls.package_name, + settings.transpilation_plugins, + ) + return + + DialectRegistry.register(name, plugin_cls) + + +def dialect_plugin(name: str): + """ + Decorator to register a dialect plugin. This decorator should be used on a class that + inherits from SQLTranspilationPlugin. + + Example usage: + + @dialect_plugin("my_dialect") + class MyDialectPlugin(SQLTranspilationPlugin): + def transpile_sql(self, query: str, input_dialect: str = None, output_dialect: str = None): + # Custom transpilation logic here + return query + """ + + def wrapper(cls): + register_dialect_plugin(name, cls) + return cls + + return wrapper diff --git a/datajunction-server/datajunction_server/models/dimensionlink.py b/datajunction-server/datajunction_server/models/dimensionlink.py new file mode 100644 index 000000000..57e39badf --- /dev/null +++ b/datajunction-server/datajunction_server/models/dimensionlink.py @@ -0,0 +1,76 @@ +"""Models for dimension links""" + +from typing import Dict, Optional + +from pydantic import BaseModel, ConfigDict + +from datajunction_server.enum import StrEnum +from datajunction_server.models.node_type import NodeNameOutput + + +class JoinCardinality(StrEnum): + """ + The version upgrade type + """ + + ONE_TO_ONE = "one_to_one" + ONE_TO_MANY = "one_to_many" + MANY_TO_ONE = "many_to_one" + MANY_TO_MANY = "many_to_many" + + +class JoinType(StrEnum): + """ + Join type + """ + + LEFT = "left" + RIGHT = "right" + INNER = "inner" + FULL = "full" + CROSS = "cross" + + +class LinkType(StrEnum): + """ + There are two types of dimensions links supported: join links or reference links + """ + + JOIN = "join" + REFERENCE = "reference" + + +class LinkDimensionIdentifier(BaseModel): + """ + Input for linking a dimension to a node + """ + + dimension_node: str + role: Optional[str] = None + + +class JoinLinkInput(BaseModel): + """ + Input for creating a join link between a dimension node and node + """ + + dimension_node: str + join_type: Optional[JoinType] = JoinType.LEFT + join_on: Optional[str] = None + join_cardinality: Optional[JoinCardinality] = JoinCardinality.MANY_TO_ONE + role: Optional[str] = None + + +class LinkDimensionOutput(BaseModel): + """ + Input for linking a dimension to a node + """ + + dimension: NodeNameOutput + join_type: JoinType + join_sql: str + join_cardinality: Optional[JoinCardinality] = None + role: Optional[str] = None + foreign_keys: Dict[str, str | None] + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/engine.py b/datajunction-server/datajunction_server/models/engine.py new file mode 100644 index 000000000..56108922a --- /dev/null +++ b/datajunction-server/datajunction_server/models/engine.py @@ -0,0 +1,31 @@ +""" +Models for columns. +""" + +from typing import Optional + +from pydantic.main import BaseModel +from pydantic import ConfigDict +from datajunction_server.models.dialect import Dialect + + +class EngineInfo(BaseModel): + """ + Class for engine creation + """ + + name: str + version: str + uri: Optional[str] = None + dialect: Optional[Dialect] = None + + model_config = ConfigDict(from_attributes=True) + + +class EngineRef(BaseModel): + """ + Basic reference to an engine + """ + + name: str + version: str diff --git a/datajunction-server/datajunction_server/models/group.py b/datajunction-server/datajunction_server/models/group.py new file mode 100644 index 000000000..b14fe1a5f --- /dev/null +++ b/datajunction-server/datajunction_server/models/group.py @@ -0,0 +1,19 @@ +""" +Models for groups +""" + +from pydantic import BaseModel, ConfigDict + +from datajunction_server.typing import UTCDatetime + + +class GroupOutput(BaseModel): + """Group information to be included in responses""" + + id: int + username: str + email: str | None = None + name: str | None = None + created_at: UTCDatetime | None = None + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/hierarchy.py b/datajunction-server/datajunction_server/models/hierarchy.py new file mode 100644 index 000000000..18baea200 --- /dev/null +++ b/datajunction-server/datajunction_server/models/hierarchy.py @@ -0,0 +1,141 @@ +""" +Pydantic models for hierarchies. +""" + +from typing import List, Optional +from datetime import datetime + +from datajunction_server.models.node import NodeNameOutput +from datajunction_server.models.user import UserNameOnly +from pydantic import BaseModel, Field, field_validator + + +class HierarchyLevelInput(BaseModel): + """Input model for creating a hierarchy level.""" + + name: str + dimension_node: str # Dimension node name + grain_columns: list[str] | None = None + + @classmethod + def validate_list( + cls, + levels: list["HierarchyLevelInput"], + ) -> list["HierarchyLevelInput"]: + """Validate a list of hierarchy levels.""" + names = [level.name for level in levels] + if len(set(names)) != len(names): + raise ValueError("Level names must be unique") + return levels + + +class HierarchyLevelOutput(BaseModel): + """Output model for hierarchy levels.""" + + name: str + dimension_node: NodeNameOutput + level_order: int + grain_columns: list[str] | None = None + + class Config: + from_attributes = True + + +class HierarchyCreateRequest(BaseModel): + """Request model for creating a hierarchy.""" + + name: str + display_name: str | None = None + description: str | None = None + levels: list[HierarchyLevelInput] = Field(min_length=2) + + @field_validator("levels") + @classmethod + def validate_levels( + cls, + levels: list[HierarchyLevelInput], + ) -> list[HierarchyLevelInput]: + """Validate hierarchy levels and auto-assign level_order from list position.""" + return HierarchyLevelInput.validate_list(levels) + + +class HierarchyUpdateRequest(BaseModel): + """Request model for updating a hierarchy.""" + + display_name: Optional[str] = None + description: Optional[str] = None + levels: Optional[List[HierarchyLevelInput]] = Field(None, min_length=2) + + @field_validator("levels") + @classmethod + def validate_levels( + cls, + levels: Optional[List[HierarchyLevelInput]], + ) -> Optional[List[HierarchyLevelInput]]: + """Validate hierarchy levels if provided and auto-assign level_order.""" + if levels: + return HierarchyLevelInput.validate_list(levels) + return levels # pragma: no cover + + +class HierarchyOutput(BaseModel): + """Output model for hierarchies.""" + + name: str + display_name: Optional[str] = None + description: Optional[str] = None + created_by: UserNameOnly + created_at: datetime + levels: List[HierarchyLevelOutput] + + class Config: + from_attributes = True + + +class HierarchyInfo(BaseModel): + """Simplified hierarchy info for listings.""" + + name: str + display_name: Optional[str] = None + description: Optional[str] = None + created_by: UserNameOnly + created_at: datetime + level_count: int + + class Config: + from_attributes = True + + +class HierarchyType(BaseModel): + """Information about the type of hierarchy (single vs multi-dimension).""" + + type: str # "single_dimension" | "multi_dimension" + dimension_nodes: List[str] # List of dimension node names used + description: str + + +class NavigationTarget(BaseModel): + """A level that can be navigated to in a hierarchy.""" + + level_name: str + dimension_node: str + level_order: int + steps: int # How many levels away (1 = adjacent, 2 = two steps, etc.) + + +class DimensionHierarchyNavigation(BaseModel): + """Navigation information for a dimension within a specific hierarchy.""" + + hierarchy_name: str + hierarchy_display_name: Optional[str] = None + current_level: str + current_level_order: int + drill_up: List[NavigationTarget] = [] + drill_down: List[NavigationTarget] = [] + + +class DimensionHierarchiesResponse(BaseModel): + """Response showing all hierarchies that use a dimension and navigation options.""" + + dimension_node: str + hierarchies: List[DimensionHierarchyNavigation] diff --git a/datajunction-server/datajunction_server/models/history.py b/datajunction-server/datajunction_server/models/history.py new file mode 100644 index 000000000..df0abfe4c --- /dev/null +++ b/datajunction-server/datajunction_server/models/history.py @@ -0,0 +1,58 @@ +""" +Model for history. +""" + +from typing import TYPE_CHECKING, Any, Dict, Optional + +from pydantic.main import BaseModel +from pydantic import ConfigDict + +from datajunction_server.database.history import History +from datajunction_server.internal.history import ActivityType, EntityType +from datajunction_server.typing import UTCDatetime + +if TYPE_CHECKING: + from datajunction_server.database.node import NodeRevision + from datajunction_server.database.user import User + from datajunction_server.models.node import NodeStatus + + +class HistoryOutput(BaseModel): + """ + Output history event + """ + + id: int + entity_type: Optional[EntityType] + entity_name: Optional[str] + node: Optional[str] + activity_type: Optional[ActivityType] + user: Optional[str] + pre: Dict[str, Any] + post: Dict[str, Any] + details: Dict[str, Any] + created_at: UTCDatetime + + model_config = ConfigDict(from_attributes=True) + + +def status_change_history( + node_revision: "NodeRevision", + start_status: "NodeStatus", + end_status: "NodeStatus", + current_user: "User", + parent_node: str = None, +) -> History: + """ + Returns a status change history activity entry + """ + return History( + entity_type=EntityType.NODE, + entity_name=node_revision.name, + node=node_revision.name, + activity_type=ActivityType.STATUS_CHANGE, + pre={"status": start_status}, + post={"status": end_status}, + details={"upstream_node": parent_node if parent_node else None}, + user=current_user.username, + ) diff --git a/datajunction-server/datajunction_server/models/impact.py b/datajunction-server/datajunction_server/models/impact.py new file mode 100644 index 000000000..9bb2490b6 --- /dev/null +++ b/datajunction-server/datajunction_server/models/impact.py @@ -0,0 +1,97 @@ +""" +Models for deployment impact analysis. +""" + +from enum import Enum + +from pydantic import BaseModel, Field + +from datajunction_server.models.node import NodeStatus, NodeType + + +class ColumnChangeType(str, Enum): + """Types of column changes""" + + ADDED = "added" + REMOVED = "removed" + TYPE_CHANGED = "type_changed" + + +class ColumnChange(BaseModel): + """Represents a change to a column""" + + column: str + change_type: ColumnChangeType + old_type: str | None = None + new_type: str | None = None + + +class NodeChangeOperation(str, Enum): + """Operation being performed on a node""" + + CREATE = "create" + UPDATE = "update" + DELETE = "delete" + NOOP = "noop" + + +class NodeChange(BaseModel): + """Represents a direct change to a node in the deployment""" + + name: str + operation: NodeChangeOperation + node_type: NodeType + display_name: str | None = None + description: str | None = None + current_status: NodeStatus | None = None # None if CREATE + + # For UPDATEs: what changed + changed_fields: list[str] = Field(default_factory=list) + column_changes: list[ColumnChange] = Field(default_factory=list) + + +class ImpactType(str, Enum): + """Type of impact on a downstream node""" + + WILL_INVALIDATE = "will_invalidate" # Certain to break + MAY_AFFECT = "may_affect" # Might need revalidation + UNCHANGED = "unchanged" # No predicted impact + + +class DownstreamImpact(BaseModel): + """Predicted impact on a downstream node""" + + name: str + node_type: NodeType + current_status: NodeStatus + predicted_status: NodeStatus + impact_type: ImpactType + impact_reason: str # Human-readable explanation + depth: int # Hops from the changed node + caused_by: list[str] = Field(default_factory=list) # Which changed nodes cause this + is_external: bool = False # True if outside the deployment namespace + + +class DeploymentImpactResponse(BaseModel): + """Full response for deployment impact analysis""" + + namespace: str + + # Direct changes in this deployment + changes: list[NodeChange] = Field(default_factory=list) + + # Summary counts for direct changes + create_count: int = 0 + update_count: int = 0 + delete_count: int = 0 + skip_count: int = 0 + + # Downstream impact (second/third-order effects) + downstream_impacts: list[DownstreamImpact] = Field(default_factory=list) + + # Impact summary counts + will_invalidate_count: int = 0 + may_affect_count: int = 0 + + # Warnings about potential issues + warnings: list[str] = Field(default_factory=list) diff --git a/datajunction-server/datajunction_server/models/materialization.py b/datajunction-server/datajunction_server/models/materialization.py new file mode 100644 index 000000000..479186aee --- /dev/null +++ b/datajunction-server/datajunction_server/models/materialization.py @@ -0,0 +1,532 @@ +"""Models for materialization""" + +import enum +from typing import TYPE_CHECKING, Dict, List, Literal, Optional, Union + +from pydantic import ( + BaseModel, + field_validator, + RootModel, + ConfigDict, + Field, +) + +from datajunction_server.enum import StrEnum +from datajunction_server.errors import DJInvalidInputException +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import ( + BackfillOutput, + Granularity, + PartitionColumnOutput, + PartitionType, +) +from datajunction_server.models.query import ColumnMetadata +from datajunction_server.naming import amenable_name +from datajunction_server.typing import UTCDatetime + +if TYPE_CHECKING: + from datajunction_server.database.node import NodeRevision + +DRUID_AGG_MAPPING = { + ("bigint", "sum"): "longSum", + ("int", "sum"): "longSum", + ("double", "sum"): "doubleSum", + ("float", "sum"): "floatSum", + ("double", "min"): "doubleMin", + ("double", "max"): "doubleMax", + ("float", "min"): "floatMin", + ("float", "max"): "floatMax", + ("bigint", "min"): "longMin", + ("int", "min"): "longMin", + ("bigint", "max"): "longMax", + ("int", "max"): "longMax", + ("bigint", "count"): "longSum", + ("int", "count"): "longSum", + ("double", "count"): "longSum", + ("float", "count"): "longSum", + # HLL Sketch support (Druid DataSketches extension) + ("binary", "hll_union_agg"): "HLLSketchMerge", + ("binary", "hll_sketch_agg"): "HLLSketchMerge", +} + +# Aggregation types that need special handling (extra config parameters) +DRUID_SKETCH_TYPES = {"HLLSketchMerge"} + + +class MaterializationStrategy(StrEnum): + """ + Materialization strategies + """ + + # Replace the target dataset in full. Typically used for smaller transforms tables + # -> Availability state: single table + FULL = "full" + + # Full materialization into a new snapshot for each scheduled materialization run. + # DJ will manage the location of the snapshot tables and return the appropriate snapshot + # when requested + # -> Availability state: multiple tables, one per snapshot. The snapshot key should be based on + # when the upstream tables were last updated, with a new snapshot generated only if they were + # updated + SNAPSHOT = "snapshot" + + # Snapshot the query as a new partition in the target dataset, stamped with the current + # date/time. This may be used to produce dimensional snapshot tables. The materialized table + # will contain an appropriate snapshot column. + # -> Availability state: single table. + SNAPSHOT_PARTITION = "snapshot_partition" + + # Materialize incrementally based on the temporal partition column(s). This strategy will + # process the last N periods (defined by lookback_window) of data and load the results into + # corresponding target partitions. Requires a time column. + # -> Availability state: single table + INCREMENTAL_TIME = "incremental_time" + + # Create a database view from the query, doesn't materialize any data + # -> Availability state: single view + VIEW = "view" + + +class GenericMaterializationInput(BaseModel): + """ + The input when calling the query service's materialization + API endpoint for a generic node. + """ + + name: str + node_name: str + node_version: str + node_type: str + job: str + strategy: MaterializationStrategy + schedule: str + query: str + upstream_tables: List[str] + spark_conf: Optional[Dict] = None + partitions: Optional[List[PartitionColumnOutput]] = None + columns: List[ColumnMetadata] + lookback_window: Optional[str] = "1 DAY" + + +class DruidMaterializationInput(GenericMaterializationInput): + """ + The input when calling the query service's materialization + API endpoint for a cube node. + """ + + druid_spec: Dict + + +class MaterializationInfo(BaseModel): + """ + The output when calling the query service's materialization + API endpoint for a cube node. + """ + + output_tables: List[str] + urls: List[str] + + +class MaterializationConfigOutput(BaseModel): + """ + Output for materialization config. + """ + + node_revision_id: int + name: Optional[str] + config: Dict + schedule: str + job: Optional[str] + backfills: List[BackfillOutput] + strategy: Optional[str] + deactivated_at: UTCDatetime | None + + model_config = ConfigDict(from_attributes=True) + + +class MaterializationConfigInfoUnified( + MaterializationInfo, + MaterializationConfigOutput, +): + """ + Materialization config + info + """ + + +class SparkConf(RootModel): + """Spark configuration""" + + root: Dict[str, str] = {} + + +class GenericMaterializationConfigInput(BaseModel): + """ + User-input portions of the materialization config + """ + + # Spark config + spark: Optional[SparkConf] = Field(default_factory=dict) + + # The time window to lookback when overwriting materialized datasets + # This will only be used if a time partition was set on the node and + # the materialization strategy is INCREMENTAL_TIME + lookback_window: Optional[str] = None + + +class GenericMaterializationConfig(GenericMaterializationConfigInput): + """ + Generic node materialization config needed by any materialization choices + and engine combinations + """ + + query: Optional[str] = None + columns: Optional[List[ColumnMetadata]] = None + upstream_tables: Optional[List[str]] = None + + def temporal_partition( + self, + node_revision: "NodeRevision", + ) -> List[PartitionColumnOutput]: + """ + The temporal partition column names on the intermediate measures table + """ + user_defined_temporal_columns = node_revision.temporal_partition_columns() + if not user_defined_temporal_columns: + return [] + user_defined_temporal_column = user_defined_temporal_columns[0] + return [ + PartitionColumnOutput( + name=col.name, + format=user_defined_temporal_column.partition.format, + type_=user_defined_temporal_column.partition.type_, + expression=str( + user_defined_temporal_column.partition.temporal_expression(), + ), + ) + for col in self.columns # type: ignore + if user_defined_temporal_column.name in (col.semantic_entity, col.name) + ] + + def categorical_partitions( + self, + node_revision: "NodeRevision", + ) -> List[PartitionColumnOutput]: + """ + The categorical partition column names on the intermediate measures table + """ + user_defined_categorical_columns = { + col.name for col in node_revision.categorical_partition_columns() + } + return [ + PartitionColumnOutput( + name=col.name, + type_=PartitionType.CATEGORICAL, + ) # type: ignore + for col in self.columns # type: ignore + if col.semantic_entity in user_defined_categorical_columns + ] + + +class DruidConf(BaseModel): + """Druid configuration""" + + granularity: Optional[str] = None + intervals: Optional[List[str]] = None + timestamp_column: Optional[str] = None + timestamp_format: Optional[str] = None + parse_spec_format: Optional[str] = None + + +class Measure(BaseModel): + """ + A measure with a simple aggregation + """ + + name: str + field_name: str + agg: str + type: str + + def __eq__(self, other): + return tuple(self.__dict__.items()) == tuple( + other.__dict__.items(), + ) # pragma: no cover + + def __hash__(self): + return hash(tuple(self.__dict__.items())) # pragma: no cover + + +class MetricMeasures(BaseModel): + """ + Represent a metric as a set of measures, along with the expression for + combining the measures to make the metric. + """ + + metric: str + measures: List[Measure] # + combiner: str + + +class GenericCubeConfigInput(GenericMaterializationConfigInput): + """ + Generic cube materialization config fields that require user input + """ + + dimensions: Optional[List[str]] = None + measures: Optional[Dict[str, MetricMeasures]] = None + metrics: Optional[List[ColumnMetadata]] = None + + +class GenericCubeConfig(GenericCubeConfigInput, GenericMaterializationConfig): + """ + Generic cube materialization config needed by any materialization + choices and engine combinations + """ + + +class DruidCubeConfigInput(GenericCubeConfigInput): + """ + Specific Druid cube materialization fields that require user input + """ + + prefix: Optional[str] = "" + suffix: Optional[str] = "" + druid: Optional[DruidConf] = None + + +class DruidMeasuresCubeConfig(DruidCubeConfigInput, GenericCubeConfig): + """ + Specific cube materialization implementation with Spark and Druid ingestion and + optional prefix and/or suffix to include with the materialized entity's name. + """ + + def metrics_spec(self) -> Dict: + """ + Returns the Druid metrics spec for ingestion + """ + self.dimensions += [ # type: ignore + measure.field_name + for measure_group in self.measures.values() # type: ignore + for measure in measure_group.measures + if (measure.type.lower(), measure.agg.lower()) not in DRUID_AGG_MAPPING + ] + return { + measure.name: { + "fieldName": measure.field_name, + "name": measure.field_name, + "type": DRUID_AGG_MAPPING[(measure.type.lower(), measure.agg.lower())], + } + for measure_group in self.measures.values() # type: ignore + for measure in measure_group.measures + if (measure.type.lower(), measure.agg.lower()) in DRUID_AGG_MAPPING + } + + def build_druid_spec(self, node_revision: "NodeRevision"): + """ + Builds the Druid ingestion spec from a materialization config. + """ + node_name = node_revision.name + metrics_spec = list(self.metrics_spec().values()) + + # A temporal partition should be configured on the cube, raise an error if not + user_defined_temporal_partitions = node_revision.temporal_partition_columns() + if not user_defined_temporal_partitions: + raise DJInvalidInputException( # pragma: no cover + "There must be at least one time-based partition configured" + " on this cube or it cannot be materialized to Druid.", + ) + + # Use the user-defined temporal partition if it exists + user_defined_temporal_partition = None + user_defined_temporal_partition = user_defined_temporal_partitions[0] + timestamp_column = [ + col.name + for col in self.columns # type: ignore + if col.semantic_entity == user_defined_temporal_partition.name + ][0] + + druid_datasource_name = ( + self.prefix # type: ignore + + amenable_name(node_name) # type: ignore + + self.suffix # type: ignore + ) + # if there are categorical partitions, we can additionally include one of them + # in the partitionDimension field under partitionsSpec + druid_spec: Dict = { + "dataSchema": { + "dataSource": druid_datasource_name, + "parser": { + "parseSpec": { + "format": "parquet", + "dimensionsSpec": { + "dimensions": sorted( + list(set(self.dimensions)), # type: ignore + ), + }, + "timestampSpec": { + "column": timestamp_column, + "format": ( + user_defined_temporal_partition.partition.format + if user_defined_temporal_partition + else "millis" + ), + }, + }, + }, + "metricsSpec": metrics_spec, + "granularitySpec": { + "type": "uniform", + "segmentGranularity": str( + user_defined_temporal_partition.partition.granularity + if user_defined_temporal_partition + else Granularity.DAY, + ).upper(), + "intervals": [], # this should be set at runtime + }, + }, + "tuningConfig": { + "partitionsSpec": { + "targetPartitionSize": 5000000, + "type": "hashed", + }, + "useCombiner": True, + "type": "hadoop", + }, + } + return druid_spec + + +class DruidMetricsCubeConfig(DruidMeasuresCubeConfig): + """ + Specific cube materialization implementation with Spark and Druid ingestion and + optional prefix and/or suffix to include with the materialized entity's name. + """ + + def metrics_spec(self) -> Dict: + """ + Returns the Druid metrics spec for ingestion + """ + return { + metric.name: { + "fieldName": metric.name, + "name": metric.name, + "type": DRUID_AGG_MAPPING[(metric.type.lower(), "sum")], + } + for metric in self.metrics # type: ignore + if (metric.type.lower(), "sum") in DRUID_AGG_MAPPING + } + + +class MaterializationJobType(BaseModel): + """ + Materialization job types. These job types will map to their implementations + under the subclasses of `MaterializationJob`. + """ + + name: str + label: str + description: str + + # Node types that can be materialized with this job type + allowed_node_types: List[NodeType] + + # The class that implements this job type, must subclass `MaterializationJob` + job_class: str + + +class MaterializationJobTypeEnum(enum.Enum): + """ + Available materialization job types + """ + + SPARK_SQL = MaterializationJobType( + name="spark_sql", + label="Spark SQL", + description="Spark SQL materialization job", + allowed_node_types=[NodeType.TRANSFORM, NodeType.DIMENSION, NodeType.CUBE], + job_class="SparkSqlMaterializationJob", + ) + + DRUID_MEASURES_CUBE = MaterializationJobType( + name="druid_measures_cube", + label="Druid Measures Cube (Pre-Agg Cube)", + description=( + "Used to materialize a cube's measures to Druid for low-latency access to a set of " + "metrics and dimensions. While the logical cube definition is at the level of metrics " + "and dimensions, this materialized Druid cube will contain measures and dimensions," + " with rollup configured on the measures where appropriate." + ), + allowed_node_types=[NodeType.CUBE], + job_class="DruidMeasuresCubeMaterializationJob", + ) + + DRUID_METRICS_CUBE = MaterializationJobType( + name="druid_metrics_cube", + label="Druid Metrics Cube (Post-Agg Cube)", + description=( + "Used to materialize a cube of metrics and dimensions to Druid for low-latency access." + " The materialized cube is at the metric level, meaning that all metrics will be " + "aggregated to the level of the cube's dimensions." + ), + allowed_node_types=[NodeType.CUBE], + job_class="DruidMetricsCubeMaterializationJob", + ) + + DRUID_CUBE = MaterializationJobType( + name="druid_cube", + label="Druid Cube", + description=( + "Used to materialize a cube of metrics and dimensions to Druid for low-latency access." + "Will replace the other cube materialization types." + ), + allowed_node_types=[NodeType.CUBE], + job_class="DruidCubeMaterializationJob", + ) + + @classmethod + def find_match(cls, job_name: str) -> "MaterializationJobTypeEnum": + """Find a matching enum value for the given job name""" + return [job_type for job_type in cls if job_type.value.job_class == job_name][0] + + +class UpsertMaterialization(BaseModel): + """ + An upsert object for materialization configs + """ + + name: Optional[str] = None + job: Literal[ + "spark_sql", + "druid_measures_cube", + "druid_metrics_cube", + ] + config: ( + Union[ + DruidCubeConfigInput, + GenericCubeConfigInput, + GenericMaterializationConfigInput, + ] + | None + ) = None + schedule: str + strategy: MaterializationStrategy + + @field_validator("job") + def validate_job( + cls, + job: Union[str, MaterializationJobTypeEnum], + ) -> MaterializationJobTypeEnum: + """ + Validates the `job` field. Converts to an enum if `job` is a string. + """ + if isinstance(job, str): + job_name = job.upper() + options = MaterializationJobTypeEnum._member_names_ + if job_name not in options: + raise DJInvalidInputException( # pragma: no cover + http_status_code=404, + message=f"Materialization job type `{job.upper()}` not found. " + f"Available job types: {[job.name for job in MaterializationJobTypeEnum]}", + ) + return MaterializationJobTypeEnum[job_name] + return job # pragma: no cover diff --git a/datajunction-server/datajunction_server/models/measure.py b/datajunction-server/datajunction_server/models/measure.py new file mode 100644 index 000000000..7bae90b2c --- /dev/null +++ b/datajunction-server/datajunction_server/models/measure.py @@ -0,0 +1,142 @@ +""" +Models for measures. +""" + +from typing import TYPE_CHECKING, List, Optional + +from pydantic.main import BaseModel +from pydantic import ConfigDict, Field, model_validator + +from datajunction_server.enum import StrEnum +from datajunction_server.models.cube_materialization import ( + AggregationRule as MeasureAggregationRule, +) + + +if TYPE_CHECKING: + pass + + +class AggregationRule(StrEnum): + """ + Type of allowed aggregation for a given measure. + """ + + ADDITIVE = "additive" + NON_ADDITIVE = "non-additive" + SEMI_ADDITIVE = "semi-additive" + + +class NodeColumn(BaseModel): + """ + Defines a column on a node + """ + + node: str + column: str + + +class CreateMeasure(BaseModel): + """ + Input for creating a measure + """ + + name: str + display_name: Optional[str] = None + description: Optional[str] = None + columns: List[NodeColumn] = Field(default_factory=list) + additive: AggregationRule = AggregationRule.NON_ADDITIVE + + +class EditMeasure(BaseModel): + """ + Editable fields on a measure + """ + + display_name: Optional[str] = None + description: Optional[str] = None + columns: Optional[List[NodeColumn]] = None + additive: Optional[AggregationRule] = None + + +class ColumnOutput(BaseModel): + """ + A simplified column schema, without ID or dimensions. + """ + + name: str + type: str + node: str + + @model_validator(mode="before") + def transform(cls, column): + """ + Transforms the values for output + """ + if isinstance(column, dict): + return { # pragma: no cover + "name": column.get("name"), + "type": str(column.get("type")), + "node": column.get("node_revisions")[0].name, + } + return { + "name": column.name, + "type": str(column.type), + "node": column.node_revision.name, + } + + model_config = ConfigDict(from_attributes=True) + + +class MeasureOutput(BaseModel): + """ + Output model for measures + """ + + name: str + display_name: Optional[str] = None + description: Optional[str] = None + columns: List[ColumnOutput] = Field(default_factory=list) + additive: AggregationRule + + model_config = ConfigDict(from_attributes=True) + + +class NodeRevisionNameVersion(BaseModel): + """ + Node name and version + """ + + name: str + version: str + + model_config = ConfigDict(from_attributes=True) + + +class FrozenMeasureOutput(BaseModel): + """ + The output fields when listing frozen measure metadata + """ + + name: str + expression: str + aggregation: str + rule: MeasureAggregationRule + upstream_revision: NodeRevisionNameVersion + used_by_node_revisions: list[NodeRevisionNameVersion] + + model_config = ConfigDict(from_attributes=True) + + +class FrozenMeasureKey(BaseModel): + """ + Base frozen measure fields. + """ + + name: str + expression: str + aggregation: str + rule: MeasureAggregationRule + upstream_revision: NodeRevisionNameVersion + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/metric.py b/datajunction-server/datajunction_server/models/metric.py new file mode 100644 index 000000000..65b3d7df0 --- /dev/null +++ b/datajunction-server/datajunction_server/models/metric.py @@ -0,0 +1,136 @@ +""" +Models for metrics. +""" + +from typing import List, Optional, Dict + +from pydantic.main import BaseModel +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.node import Node +from datajunction_server.models.cube_materialization import MetricComponent +from datajunction_server.models.engine import Dialect +from datajunction_server.models.node import ( + DimensionAttributeOutput, + MetricMetadataOutput, +) +from datajunction_server.models.query import ColumnMetadata, V3ColumnMetadata +from datajunction_server.models.sql import TranspiledSQL +from datajunction_server.sql.decompose import MetricComponentExtractor +from datajunction_server.sql.parsing.backends.antlr4 import ast, parse +from datajunction_server.transpilation import transpile_sql +from datajunction_server.typing import UTCDatetime + + +class Metric(BaseModel): + """ + Class for a metric. + """ + + id: int + name: str + display_name: str + current_version: str + description: str = "" + + created_at: UTCDatetime + updated_at: UTCDatetime + + query: str + upstream_node: Optional[str] = None + expression: str + + dimensions: List[DimensionAttributeOutput] + metric_metadata: Optional[MetricMetadataOutput] = None + required_dimensions: List[str] + + incompatible_druid_functions: List[str] + + measures: List[MetricComponent] + derived_query: str + derived_expression: str + + custom_metadata: Optional[Dict] = None + + @classmethod + async def parse_node( + cls, + node: Node, + dims: List[DimensionAttributeOutput], + session: AsyncSession, + ) -> "Metric": + """ + Parses a node into a metric. + """ + query_ast = parse(node.current.query) + functions = [func.function() for func in query_ast.find_all(ast.Function)] + incompatible_druid_functions = [ + func.__name__.upper() + for func in functions + if Dialect.DRUID not in func.dialects + ] + extractor = MetricComponentExtractor(node.current.id) + measures, derived_sql = await extractor.extract(session) + return cls( + id=node.id, + name=node.name, + display_name=node.current.display_name, # type: ignore + current_version=node.current_version, + description=node.current.description, + created_at=node.created_at, + updated_at=node.current.updated_at, + query=node.current.query, # type: ignore + upstream_node=( + node.current.non_metric_parents[0].name + if node.current.non_metric_parents + else None + ), + expression=str(query_ast.select.projection[0]), + dimensions=dims, + metric_metadata=node.current.metric_metadata, + required_dimensions=[dim.name for dim in node.current.required_dimensions], + incompatible_druid_functions=incompatible_druid_functions, + measures=measures, + derived_query=str(derived_sql).strip(), + derived_expression=str(derived_sql.select.projection[0]).strip(), + custom_metadata=node.current.custom_metadata, + ) + + +class TranslatedSQL(TranspiledSQL): + """ + Class for SQL generated from a given metric. + """ + + # TODO: once type-inference is added to /query/ endpoint + # columns attribute can be required + sql: str + columns: Optional[List[ColumnMetadata]] = None # pragma: no-cover + dialect: Optional[Dialect] = None + upstream_tables: Optional[List[str]] = None + + @classmethod + def create(cls, *, dialect: Dialect | None = None, **kwargs): + sql = transpile_sql(kwargs["sql"], dialect) + return cls( + sql=sql, + dialect=dialect, + **{k: v for k, v in kwargs.items() if k not in {"sql", "dialect"}}, + ) + + +class V3TranslatedSQL(BaseModel): + """ + SQL response model for V3 SQL generation endpoints. + + This is a cleaner response model specifically for V3 that: + - Uses V3ColumnMetadata (no legacy column/node fields) + - Has required fields (not optional like legacy TranslatedSQL) + """ + + sql: str + columns: List[V3ColumnMetadata] + dialect: Dialect + + # If a cube was used, contains cube name (fetch details via /cubes/{name}/) + cube_name: Optional[str] = None diff --git a/datajunction-server/datajunction_server/models/namespace.py b/datajunction-server/datajunction_server/models/namespace.py new file mode 100644 index 000000000..b25ce8437 --- /dev/null +++ b/datajunction-server/datajunction_server/models/namespace.py @@ -0,0 +1,18 @@ +from typing import List +from pydantic import BaseModel + + +class ImpactedNode(BaseModel): + name: str + caused_by: List[str] + + +class ImpactedNodes(BaseModel): + downstreams: List[ImpactedNode] + links: List[ImpactedNode] + + +class HardDeleteResponse(BaseModel): + deleted_nodes: list[str] + deleted_namespaces: list[str] + impacted: ImpactedNodes diff --git a/datajunction-server/datajunction_server/models/node.py b/datajunction-server/datajunction_server/models/node.py new file mode 100644 index 000000000..653772c64 --- /dev/null +++ b/datajunction-server/datajunction_server/models/node.py @@ -0,0 +1,1094 @@ +""" +Model for nodes. +""" + +import enum +import sys +from dataclasses import dataclass +from typing import Any, Dict, List, Optional, Tuple, Union, cast + +from pydantic import ( + BaseModel, + Field, + field_validator, + model_validator, + RootModel, + ConfigDict, + create_model, +) +from sqlalchemy.orm import joinedload, selectinload +from sqlalchemy.sql.schema import Column as SqlaColumn +from sqlalchemy.types import Enum +from typing_extensions import TypedDict + +from datajunction_server.api.graphql.scalars import Cursor +from datajunction_server.enum import StrEnum +from datajunction_server.errors import DJError +from datajunction_server.models.catalog import CatalogInfo +from datajunction_server.models.column import ColumnYAML +from datajunction_server.models.database import DatabaseOutput +from datajunction_server.models.dimensionlink import LinkDimensionOutput +from datajunction_server.models.engine import Dialect +from datajunction_server.models.materialization import MaterializationConfigOutput +from datajunction_server.models.node_type import NodeNameOutput, NodeType +from datajunction_server.models.partition import PartitionOutput +from datajunction_server.models.tag import TagMinimum, TagOutput +from datajunction_server.models.user import UserNameOnly +from datajunction_server.sql.parsing.types import ColumnType +from datajunction_server.typing import UTCDatetime +from datajunction_server.utils import Version + +DEFAULT_DRAFT_VERSION = Version(major=0, minor=1) +DEFAULT_PUBLISHED_VERSION = Version(major=1, minor=0) +MIN_VALID_THROUGH_TS = -sys.maxsize - 1 + + +@dataclass(frozen=True) +class BuildCriteria: + """ + Criterion used for building + - used to deterimine whether to use an availability state + """ + + timestamp: Optional[UTCDatetime] = None + dialect: Dialect = Dialect.SPARK + target_node_name: Optional[str] = None + + +class NodeMode(StrEnum): + """ + Node mode. + + A node can be in one of the following modes: + + 1. PUBLISHED - Must be valid and not cause any child nodes to be invalid + 2. DRAFT - Can be invalid, have invalid parents, and include dangling references + """ + + PUBLISHED = "published" + DRAFT = "draft" + + +class NodeStatus(StrEnum): + """ + Node status. + + A node can have one of the following statuses: + + 1. VALID - All references to other nodes and node columns are valid + 2. INVALID - One or more parent nodes are incompatible or do not exist + """ + + VALID = "valid" + INVALID = "invalid" + + +class NodeValidationError(BaseModel): + """ + Validation error + """ + + type: str + message: str + + +class NodeStatusDetails(BaseModel): + """ + Node status details. Contains a list of node errors or an empty list of the node status is valid + """ + + status: NodeStatus + errors: List[NodeValidationError] + + +class NodeYAML(TypedDict, total=False): + """ + Schema of a node in the YAML file. + """ + + description: str + display_name: str + type: NodeType + query: str + columns: Dict[str, ColumnYAML] + + +class NodeBase(BaseModel): + """ + A base node. + """ + + name: str + type: NodeType + display_name: str | None = Field(max_length=100, default=None) + + +class NodeRevisionBase(BaseModel): + """ + A base node revision. + """ + + name: str + display_name: str | None = None + type: NodeType + description: str | None = None + query: str | None = None + mode: NodeMode = NodeMode.PUBLISHED + + +class TemporalPartitionRange(BaseModel): + """ + Any temporal partition range with a min and max partition. + """ + + min_temporal_partition: list[str | int] | None = None + max_temporal_partition: list[str | int] | None = None + + def is_outside(self, other) -> bool: + """ + Whether this temporal range is outside the time bounds of the other temporal range + """ + return ( + self.min_temporal_partition < other.min_temporal_partition + or self.max_temporal_partition > other.max_temporal_partition + ) + + +class PartitionAvailability(TemporalPartitionRange): + """ + Partition-level availability + """ + + # This list maps to the ordered list of categorical partitions at the node level. + # For example, if the node's `categorical_partitions` are configured as ["country", "group_id"], + # a valid entry for `value` may be ["DE", null]. + value: List[Optional[str]] + + # Valid through timestamp + valid_through_ts: int | None = None + + +class AvailabilityNode(TemporalPartitionRange): + """A node in the availability trie tracker""" + + children: Dict = {} + valid_through_ts: int | None = Field(default=MIN_VALID_THROUGH_TS) + + def merge_temporal(self, other: "AvailabilityNode"): + """ + Merge the temporal ranges with each other by saving the largest + possible time range. + """ + self.min_temporal_partition = min( # type: ignore + self.min_temporal_partition, + other.min_temporal_partition, + ) + self.max_temporal_partition = max( # type: ignore + self.max_temporal_partition, + other.max_temporal_partition, + ) + self.valid_through_ts = max( # type: ignore + self.valid_through_ts, + other.valid_through_ts, + ) + + +class AvailabilityTracker: + """ + Tracks the availability of the partitions in a trie, which is used for merging + availability states across categorical and temporal partitions. + """ + + def __init__(self): + self.root = AvailabilityNode() + + def insert(self, partition): + """ + Inserts the partition availability into the availability tracker trie. + """ + current = self.root + for value in partition.value: + next_item = AvailabilityNode( + min_temporal_partition=partition.min_temporal_partition, + max_temporal_partition=partition.max_temporal_partition, + valid_through_ts=partition.valid_through_ts, + ) + # If a wildcard is found, only add this specific partition's + # time range if it's wider than the range of the wildcard + if None in current.children and partition.is_outside( + current.children[None], + ): + wildcard_partition = current.children[None] + next_item.merge_temporal(wildcard_partition) + current.children[value] = next_item + else: + # Add if partition doesn't match any existing, otherwise merge with existing + if value not in current.children: + current.children[value] = next_item + else: + next_item = current.children[value] + next_item.merge_temporal(partition) + + # Remove extraneous partitions at this level if this partition value is a wildcard + if value is None: + child_keys = [key for key in current.children if key is not None] + for child in child_keys: + child_partition = current.children[child] + if not child_partition.is_outside(partition): + del current.children[child] + current = next_item + + def get_partition_range(self) -> List[PartitionAvailability]: + """ + Gets the final set of merged partitions. + """ + candidates: List[Tuple[AvailabilityNode, List[str]]] = [(self.root, [])] + final_partitions = [] + while candidates: + current, partition_list = candidates.pop() + if current.children: + for key, value in current.children.items(): + candidates.append((value, partition_list + [key])) + else: + final_partitions.append( + PartitionAvailability( + value=partition_list, + min_temporal_partition=current.min_temporal_partition, + max_temporal_partition=current.max_temporal_partition, + valid_through_ts=current.valid_through_ts, + ), + ) + return final_partitions + + +class AvailabilityStateBase(TemporalPartitionRange): + """ + An availability state base + """ + + catalog: str + schema_: str | None = Field(default=None) + table: str + valid_through_ts: int + url: str | None = Field(default=None) + links: Dict[str, Any] | None = Field(default_factory=dict) + + # An ordered list of categorical partitions like ["country", "group_id"] + # or ["region_id", "age_group"] + categorical_partitions: list[str] | None = Field(default_factory=list) + + # An ordered list of temporal partitions like ["date", "hour"] or ["date"] + temporal_partitions: list[str] | None = Field(default_factory=list) + + # Node-level temporal ranges + min_temporal_partition: list[str | int] | None = Field(default_factory=list) + max_temporal_partition: list[str | int] | None = Field(default_factory=list) + + # Partition-level availabilities + partitions: list[PartitionAvailability] | None = Field(default_factory=list) + + model_config = ConfigDict(from_attributes=True) + + @field_validator("partitions") + def validate_partitions(cls, partitions): + """ + Validator for partitions + """ + return ( + [partition.model_dump() for partition in partitions] if partitions else [] + ) + + @field_validator("min_temporal_partition", mode="before") + def convert_min_temporal_partition(cls, min_temporal_partition): + """ + Validator for min_temporal_partition + """ + return ( + [str(part) for part in min_temporal_partition] + if min_temporal_partition + else [] + ) + + @field_validator("max_temporal_partition", mode="before") + def convert_max_temporal_partition(cls, max_temporal_partition): + """ + Validator for max_temporal_partition + """ + return ( + [str(part) for part in max_temporal_partition] + if max_temporal_partition + else [] + ) + + def merge(self, other: "AvailabilityStateBase"): + """ + Merge this availability state with another. + """ + all_partitions = [ + PartitionAvailability(**partition) + if isinstance(partition, dict) + else partition + for partition in self.partitions + other.partitions # type: ignore + ] + min_range = [ + x for x in (self.min_temporal_partition, other.min_temporal_partition) if x + ] + max_range = [ + x for x in (self.max_temporal_partition, other.max_temporal_partition) if x + ] + top_level_partition = PartitionAvailability( + value=[None for _ in other.categorical_partitions] + if other.categorical_partitions + else [], + min_temporal_partition=min(min_range) if min_range else None, + max_temporal_partition=max(max_range) if max_range else None, + valid_through_ts=max(self.valid_through_ts, other.valid_through_ts), + ) + all_partitions += [top_level_partition] + + tracker = AvailabilityTracker() + for partition in all_partitions: + tracker.insert(partition) + final_partitions = tracker.get_partition_range() + + self.partitions = [ + partition + for partition in final_partitions + if not all(val is None for val in partition.value) + ] + merged_top_level = [ + partition + for partition in final_partitions + if all(val is None for val in partition.value) + ] + + if merged_top_level: # pragma: no cover + self.min_temporal_partition = ( + top_level_partition.min_temporal_partition + or merged_top_level[0].min_temporal_partition + ) + self.max_temporal_partition = ( + top_level_partition.max_temporal_partition + or merged_top_level[0].max_temporal_partition + ) + self.valid_through_ts = ( + top_level_partition.valid_through_ts + or merged_top_level[0].valid_through_ts + or MIN_VALID_THROUGH_TS + ) + + return self + + +class AvailabilityStateInfo(AvailabilityStateBase): + """ + Availability state information for a node + """ + + id: int + updated_at: str + node_revision_id: int + node_version: str + + +class MetricDirection(StrEnum): + """ + The direction of the metric that's considered good, i.e., higher is better + """ + + HIGHER_IS_BETTER = "higher_is_better" + LOWER_IS_BETTER = "lower_is_better" + NEUTRAL = "neutral" + + +class Unit(BaseModel): + """ + Metric unit + """ + + name: str + label: Optional[str] = None + category: Optional[str] = None + abbreviation: Optional[str] = None + description: Optional[str] = None + + def __str__(self): + return self.name # pragma: no cover + + def __repr__(self): + return self.name + + +class MetricUnit(enum.Enum): + """ + Available units of measure for metrics + TODO: Eventually this can be recorded in a database, + since measurement units can be customized depending on the metric + (i.e., clicks/hour). For the time being, this enum provides some basic units. + """ + + UNKNOWN = Unit( + name="unknown", + label="Unknown", + category="", + abbreviation=None, + description=None, + ) + UNITLESS = Unit( + name="unitless", + label="Unitless", + category="", + abbreviation=None, + description=None, + ) + + PERCENTAGE = Unit( + name="percentage", + label="Percentage", + category="", + abbreviation="%", + description="A ratio expressed as a number out of 100. Values range from 0 to 100.", + ) + + PROPORTION = Unit( + name="proportion", + label="Proportion", + category="", + abbreviation="", + description="A ratio that compares a part to a whole. Values range from 0 to 1.", + ) + + # Monetary + DOLLAR = Unit( + name="dollar", + label="Dollar", + category="currency", + abbreviation="$", + description=None, + ) + + # Time + SECOND = Unit( + name="second", + label="Second", + category="time", + abbreviation="s", + description=None, + ) + MINUTE = Unit( + name="minute", + label="Minute", + category="time", + abbreviation="m", + description=None, + ) + HOUR = Unit( + name="hour", + label="Hour", + category="time", + abbreviation="h", + description=None, + ) + DAY = Unit( + name="day", + label="Day", + category="time", + abbreviation="d", + description=None, + ) + WEEK = Unit( + name="week", + label="Week", + category="time", + abbreviation="w", + description=None, + ) + MONTH = Unit( + name="month", + label="Month", + category="time", + abbreviation="mo", + description=None, + ) + YEAR = Unit( + name="year", + label="Year", + category="time", + abbreviation="y", + description=None, + ) + + +class MetricMetadataOptions(BaseModel): + """ + Metric metadata options list + """ + + directions: List[MetricDirection] + units: List[Unit] + + +class MetricMetadataBase(BaseModel): # type: ignore + """ + Base class for additional metric metadata + """ + + direction: Optional[MetricDirection] = Field( + sa_column=SqlaColumn(Enum(MetricDirection)), + default=MetricDirection.NEUTRAL, + ) + unit: Optional[MetricUnit] = Field( + sa_column=SqlaColumn(Enum(MetricUnit)), + default=MetricUnit.UNKNOWN, + ) + + +class MetricMetadataOutput(BaseModel): + """ + Metric metadata output + """ + + direction: MetricDirection | None = None + unit: Unit | None = None + significant_digits: int | None = None + min_decimal_exponent: int | None = None + max_decimal_exponent: int | None = None + + model_config = ConfigDict(from_attributes=True) + + @field_validator("unit", mode="before") + def validate_unit(cls, value): + if isinstance(value, MetricUnit): + return Unit( + name=value.value.name, + label=value.value.label, + category=value.value.category, + abbreviation=value.value.abbreviation, + description=value.value.description, + ) + return value # pragma: no cover + + +class MetricMetadataInput(BaseModel): + """ + Metric metadata output + """ + + direction: MetricDirection | None = None + unit: str | None = None + significant_digits: int | None = None + min_decimal_exponent: int | None = None + max_decimal_exponent: int | None = None + + +class ImmutableNodeFields(BaseModel): + """ + Node fields that cannot be changed + """ + + name: str + namespace: str = "default" + + +class MutableNodeFields(BaseModel): + """ + Node fields that can be changed. + """ + + display_name: str | None = None + description: str | None = None + mode: NodeMode = NodeMode.PUBLISHED + primary_key: list[str] | None = None + custom_metadata: dict | None = None + owners: list[str] | None = None + + +class MutableNodeQueryField(BaseModel): + """ + Query field for node. + """ + + query: str + + +class NodeNameList(RootModel): + """ + List of node names + """ + + root: List[str] + + +class NodeIndexItem(BaseModel): + """ + Node details used for indexing purposes + """ + + name: str + display_name: str + description: str + type: NodeType + + +class NodeMinimumDetail(BaseModel): + """ + List of high level node details + """ + + name: str + display_name: str + description: str + version: str + type: NodeType + status: NodeStatus + mode: NodeMode + updated_at: UTCDatetime + tags: list[TagMinimum] = Field(default_factory=list) + edited_by: list[str] | None = Field(default_factory=list) + + model_config = ConfigDict(from_attributes=True) + + +class AttributeTypeName(BaseModel): + """ + Attribute type name. + """ + + namespace: str + name: str + + model_config = ConfigDict(from_attributes=True) + + +class AttributeOutput(BaseModel): + """ + Column attribute output. + """ + + attribute_type: AttributeTypeName + + model_config = ConfigDict(from_attributes=True) + + +class DimensionAttributeOutput(BaseModel): + """ + Dimension attribute output should include the name and type + """ + + name: str + node_name: str | None + node_display_name: str | None + properties: list[str] | None + type: str | None + path: list[str] + filter_only: bool = False + + +class ColumnOutput(BaseModel): + """ + A simplified column schema, without ID or dimensions. + """ + + name: str + display_name: Optional[str] = None + type: str + description: Optional[str] = None + dimension_column: Optional[str] = None + attributes: Optional[List[AttributeOutput]] = None + dimension: Optional[NodeNameOutput] = None + partition: Optional[PartitionOutput] = None + + model_config = ConfigDict(from_attributes=True, validate_assignment=True) + + @field_validator("type", mode="before") + def extract_type(cls, raw): + return str(raw) + + +class SourceColumnOutput(BaseModel): + """ + A column used in creation of a source node + """ + + name: str + type: ColumnType + attributes: Optional[List[AttributeOutput]] = None + dimension: Optional[str] = None + + model_config = ConfigDict(validate_assignment=True, from_attributes=True) + + @field_validator("type", mode="before") + def validate_column_type(cls, value): + """ + Convert string type to ColumnType object + """ + if isinstance(value, str): + return ColumnType.validate(value) + return value + + +class SourceNodeFields(BaseModel): + """ + Source node fields that can be changed. + """ + + catalog: str + schema_: str + table: str + columns: List["SourceColumnOutput"] + missing_table: bool = False + + +class CubeNodeFields(BaseModel): + """ + Cube-specific fields that can be changed + """ + + metrics: List[str] | None = None + dimensions: List[str] | None = None + filters: Optional[List[str]] = None + orderby: Optional[List[str]] = None + limit: Optional[int] = None + description: Optional[str] = None + mode: NodeMode + + +class MetricNodeFields(BaseModel): + """ + Metric node fields that can be changed + """ + + required_dimensions: Optional[List[str]] = None + metric_metadata: Optional[MetricMetadataInput] = None + + +# +# Create and Update objects +# + + +class CreateNode( + ImmutableNodeFields, + MutableNodeFields, + MutableNodeQueryField, + MetricNodeFields, +): + """ + Create non-source node object. + """ + + +class CreateSourceNode(ImmutableNodeFields, MutableNodeFields, SourceNodeFields): + """ + A create object for source nodes + """ + + query: Optional[str] = None + + +class CreateCubeNode(ImmutableNodeFields, MutableNodeFields, CubeNodeFields): + """ + A create object for cube nodes + """ + + +def build_update_node_fields(): + """ + Build the fields for the UpdateNode model by collecting fields from parent classes + and making them optional. + """ + update_node_fields = {} + for parent_class in [ + MutableNodeFields, + SourceNodeFields, + MutableNodeQueryField, + MetricNodeFields, + CubeNodeFields, + ]: + for field_name, field_info in parent_class.model_fields.items(): + # Make the field optional by adding None to the union type + original_type = field_info.annotation + if ( + hasattr(original_type, "__origin__") + and original_type.__origin__ is Union + ): + # Already a union type, add None if not present + if type(None) not in original_type.__args__: + optional_type = original_type | None # pragma: no cover + else: + optional_type = original_type + else: + # Not a union, make it optional + optional_type = original_type | None + update_node_fields[field_name] = (optional_type, None) + return update_node_fields + + +# Create the UpdateNode class with all optional fields +UpdateNode = create_model( + "UpdateNode", + **build_update_node_fields(), + __config__=ConfigDict(extra="forbid"), + __doc__="Update node object where all fields are optional", +) + + +# +# Response output objects +# + + +class GenericNodeOutputModel(BaseModel): + """ + A generic node output model that flattens the current node revision info + into the top-level fields on the output model. + """ + + @model_validator(mode="before") + def flatten_current( + cls, + values: Any, + ) -> Dict[str, Any]: + """ + Flatten the current node revision into top-level fields. + """ + current = values.current + if current is None: + return values # pragma: no cover + final_dict = { + "namespace": values.namespace, + "created_at": values.created_at, + "deactivated_at": values.deactivated_at, + "current_version": values.current_version, + "catalog": values.current.catalog, + "missing_table": values.missing_table, + "tags": values.tags, + "created_by": values.created_by, + "owners": [owner for owner in values.owners or []], + } + current_dict = dict(current.__dict__.items()) + for k, v in current_dict.items(): + final_dict[k] = v + + if "dimension_links" in final_dict: # pragma: no branch + final_dict["dimension_links"] = [ + link + for link in final_dict["dimension_links"] # type: ignore + if link.dimension.deactivated_at is None # type: ignore + ] + final_dict["node_revision_id"] = final_dict["id"] + return final_dict + + +class TableOutput(BaseModel): + """ + Output for table information. + """ + + id: int | None = None + catalog: CatalogInfo | None = None + schema_: str | None = None + table: str | None = None + database: DatabaseOutput | None = None + + +class NodeRevisionOutput(BaseModel): + """ + Output for a node revision with information about columns and if it is a metric. + """ + + id: int + node_id: int + type: NodeType + name: str + display_name: str + version: str + status: NodeStatus + mode: NodeMode + catalog: CatalogInfo | None = None + schema_: str | None = None + table: str | None = None + description: str = "" + query: str | None = None + availability: AvailabilityStateBase | None = None + columns: List[ColumnOutput] + updated_at: UTCDatetime + materializations: List[MaterializationConfigOutput] + parents: List[NodeNameOutput] + metric_metadata: MetricMetadataOutput | None = None + dimension_links: list[LinkDimensionOutput] | None = None + custom_metadata: dict | None = None + + model_config = ConfigDict(from_attributes=True) + + +class NodeOutput(GenericNodeOutputModel): + """ + Output for a node that shows the current revision. + """ + + namespace: str + id: int = Field(alias="node_revision_id") + node_id: int + type: NodeType + name: str + display_name: str + version: str + status: NodeStatus + mode: NodeMode + catalog: CatalogInfo | None = None + schema_: str | None = None + table: str | None = None + description: str = "" + query: str | None = None + availability: AvailabilityStateBase | None = None + columns: list[ColumnOutput] + updated_at: UTCDatetime + materializations: list[MaterializationConfigOutput] + parents: list[NodeNameOutput] + metric_metadata: MetricMetadataOutput | None = None + dimension_links: list[LinkDimensionOutput] = Field(default_factory=list) + created_at: UTCDatetime + created_by: UserNameOnly + tags: list[TagOutput] = Field(default_factory=list) + current_version: str + missing_table: bool | None = False + custom_metadata: dict | None = None + owners: list[UserNameOnly] = Field(default_factory=list) + + model_config = ConfigDict(from_attributes=True) + + @classmethod + def load_options(cls): + """ + ORM options to successfully load this object + """ + from datajunction_server.database.node import ( + Node, + NodeRevision, + ) + + return [ + selectinload(Node.current).options(*NodeRevision.default_load_options()), + joinedload(Node.tags), + selectinload(Node.created_by), + selectinload(Node.owners), + ] + + +class DAGNodeRevisionOutput(BaseModel): + """ + Output for a node revision with information about columns and if it is a metric. + """ + + id: int = Field(alias="node_revision_id") + node_id: int + type: NodeType + name: str + display_name: str + version: str + status: NodeStatus + mode: NodeMode + catalog: CatalogInfo | None = None + schema_: str | None = None + table: str | None = None + description: str = "" + columns: list[ColumnOutput] | None = None + updated_at: UTCDatetime + parents: list[NodeNameOutput] | None = None + dimension_links: list[LinkDimensionOutput] | None = None + + model_config = ConfigDict( + from_attributes=True, + populate_by_name=True, + ) + + +class DAGNodeOutput(GenericNodeOutputModel): + """ + Output for a node in another node's DAG + """ + + namespace: str + id: int = Field(alias="node_revision_id") + node_id: int + type: NodeType + name: str + display_name: str + version: str + status: NodeStatus + mode: NodeMode + catalog: CatalogInfo | None = None + schema_: str | None = None + table: str | None = None + description: str = "" + columns: list[ColumnOutput] + updated_at: UTCDatetime + parents: List[NodeNameOutput] + dimension_links: List[LinkDimensionOutput] + created_at: UTCDatetime + tags: List[TagOutput] = [] + current_version: str + + model_config = ConfigDict(from_attributes=True) + + +class NodeValidation(BaseModel): + """ + A validation of a provided node definition + """ + + message: str + status: NodeStatus + dependencies: List[NodeRevisionOutput] + columns: List[ColumnOutput] + errors: List[DJError] + missing_parents: List[str] + + +class LineageColumn(BaseModel): + """ + Column in lineage graph + """ + + column_name: str + node_name: Optional[str] = None + node_type: Optional[str] = None + display_name: Optional[str] = None + lineage: Optional[List["LineageColumn"]] = None + + model_config = ConfigDict(defer_initialization=True) + + +# Forward reference resolution for the self-referencing model +LineageColumn.model_rebuild() + + +class NamespaceOutput(BaseModel): + """ + Output for a namespace that includes the number of nodes + """ + + namespace: str + num_nodes: int + + +class NodeIndegreeOutput(BaseModel): + """ + Node indegree output + """ + + name: str + indegree: int + + +@dataclass +class NodeCursor(Cursor): + """Cursor that represents a node in a paginated list.""" + + created_at: UTCDatetime + id: int + + @classmethod + def decode(cls, serialized: str) -> "NodeCursor": + return cast(NodeCursor, super().decode(serialized)) diff --git a/datajunction-server/datajunction_server/models/node_type.py b/datajunction-server/datajunction_server/models/node_type.py new file mode 100644 index 000000000..e9b6c5e93 --- /dev/null +++ b/datajunction-server/datajunction_server/models/node_type.py @@ -0,0 +1,47 @@ +"""Node type""" + +from pydantic import BaseModel, ConfigDict + +from datajunction_server.enum import StrEnum + + +class NodeType(StrEnum): + """ + Node type. + + A node can have 4 types, currently: + + 1. SOURCE nodes are root nodes in the DAG, and point to tables or views in a DB. + 2. TRANSFORM nodes are SQL transformations, reading from SOURCE/TRANSFORM nodes. + 3. METRIC nodes are leaves in the DAG, and have a single aggregation query. + 4. DIMENSION nodes are special SOURCE nodes that can be auto-joined with METRICS. + 5. CUBE nodes contain a reference to a set of METRICS and a set of DIMENSIONS. + """ + + SOURCE = "source" + TRANSFORM = "transform" + METRIC = "metric" + DIMENSION = "dimension" + CUBE = "cube" + + +class NodeNameOutput(BaseModel): + """ + Node name only + """ + + name: str + + model_config = ConfigDict(from_attributes=True) + + +class NodeNameVersion(BaseModel): + """ + Node name and version + """ + + name: str + version: str + display_name: str | None = None + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/notifications.py b/datajunction-server/datajunction_server/models/notifications.py new file mode 100644 index 000000000..8b485b7d2 --- /dev/null +++ b/datajunction-server/datajunction_server/models/notifications.py @@ -0,0 +1,25 @@ +"""Notification Preference models""" + +from typing import List, Optional + +from pydantic import BaseModel, ConfigDict + +from datajunction_server.internal.history import ActivityType, EntityType + + +class NotificationPreferenceModel(BaseModel): + entity_type: EntityType + entity_name: Optional[str] + activity_types: List[ActivityType] + user_id: int + username: str + alert_types: List[str] + + +class NotificationPreferenceOutput(BaseModel): + entity_type: EntityType + entity_name: Optional[str] + activity_types: List[ActivityType] + alert_types: List[str] + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/partition.py b/datajunction-server/datajunction_server/models/partition.py new file mode 100644 index 000000000..d5a461945 --- /dev/null +++ b/datajunction-server/datajunction_server/models/partition.py @@ -0,0 +1,105 @@ +"""Partition-related models.""" + +from typing import TYPE_CHECKING, List, Optional + +from pydantic.main import BaseModel +from pydantic import ConfigDict + +from datajunction_server.enum import StrEnum + +if TYPE_CHECKING: + pass + + +class PartitionType(StrEnum): + """ + Partition type. + + A partition can be temporal or categorical + """ + + TEMPORAL = "temporal" + CATEGORICAL = "categorical" + + +class Granularity(StrEnum): + """ + Time dimension granularity. + """ + + SECOND = "second" + MINUTE = "minute" + HOUR = "hour" + DAY = "day" + WEEK = "week" + MONTH = "month" + QUARTER = "quarter" + YEAR = "year" + + +class PartitionInput(BaseModel): + """ + Expected settings for specifying a partition column + """ + + type_: PartitionType + + # + # Temporal partitions will additionally have the following properties: + # + # Timestamp granularity + granularity: Optional[Granularity] = None + # Timestamp format + format: Optional[str] = None + + +class PartitionBackfill(BaseModel): + """ + Used for setting backfilled values + """ + + column_name: str + + # Backfilled values and range. Most temporal partitions will just use `range`, but some may + # optionally use `values` to specify specific values + # Ex: values: [20230901] + # range: [20230901, 20231001] + values: Optional[List] = None + range: Optional[List] = None + + model_config = ConfigDict(from_attributes=True) + + +class PartitionOutput(BaseModel): + """ + Output for partition + """ + + type_: PartitionType + format: Optional[str] = None + granularity: Optional[str] = None + expression: Optional[str] = None + + model_config = ConfigDict(from_attributes=True) + + +class PartitionColumnOutput(BaseModel): + """ + Output for partition columns + """ + + name: str + type_: PartitionType + format: Optional[str] = None + expression: Optional[str] = None + + +class BackfillOutput(BaseModel): + """ + Output model for backfills + """ + + spec: Optional[List[PartitionBackfill]] = None + urls: Optional[List[str]] = None + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/preaggregation.py b/datajunction-server/datajunction_server/models/preaggregation.py new file mode 100644 index 000000000..3defb169f --- /dev/null +++ b/datajunction-server/datajunction_server/models/preaggregation.py @@ -0,0 +1,458 @@ +""" +Models for pre-aggregation API requests and responses. +""" + +from datetime import date, datetime +from typing import Any, Dict, List, Optional + +from pydantic import BaseModel, Field + +from datajunction_server.enum import StrEnum +from datajunction_server.models.materialization import MaterializationStrategy +from datajunction_server.models.node import PartitionAvailability +from datajunction_server.models.node_type import NodeNameVersion +from datajunction_server.models.partition import Granularity +from datajunction_server.models.query import ColumnMetadata +from datajunction_server.models.decompose import PreAggMeasure +from datajunction_server.models.query import V3ColumnMetadata + + +class WorkflowStatus(StrEnum): + """Status of a pre-aggregation workflow.""" + + ACTIVE = "active" + PAUSED = "paused" + + +class WorkflowUrl(BaseModel): + """A labeled workflow URL for scheduler-agnostic display.""" + + label: str = Field( + description="Label for the workflow (e.g., 'scheduled', 'backfill')", + ) + url: str = Field(description="URL to the workflow") + + +class GrainMode(StrEnum): + """ + Grain matching mode for pre-aggregation lookup. + + - EXACT: Pre-agg grain must match requested grain exactly + - SUPERSET: Pre-agg grain must contain all requested columns (and possibly more) + """ + + EXACT = "exact" + SUPERSET = "superset" + + +class PlanPreAggregationsRequest(BaseModel): + """ + Request model for planning pre-aggregations from metrics + dimensions. + + This is the primary way to create pre-aggregations. DJ computes grain groups + from the metrics/dimensions and creates PreAggregation records with generated SQL. + """ + + metrics: List[str] = Field( + description="List of metric node names (e.g., ['default.revenue', 'default.orders'])", + ) + dimensions: List[str] = Field( + description="List of dimension references (e.g., ['default.date_dim.date_id'])", + ) + filters: Optional[List[str]] = Field( + default=None, + description="Optional SQL filters to apply", + ) + + # Materialization config (applied to all created pre-aggs) + strategy: Optional[MaterializationStrategy] = Field( + default=None, + description="Materialization strategy (FULL or INCREMENTAL_TIME)", + ) + schedule: Optional[str] = Field( + default=None, + description="Cron expression for scheduled materialization", + ) + lookback_window: Optional[str] = Field( + default=None, + description="Lookback window for incremental materialization (e.g., '3 days')", + ) + + +class PlanPreAggregationsResponse(BaseModel): + """Response model for /preaggs/plan endpoint.""" + + preaggs: List["PreAggregationInfo"] + + +class UpdatePreAggregationAvailabilityRequest(BaseModel): + """Request model for updating pre-aggregation availability.""" + + catalog: str = Field(description="Catalog where materialized table exists") + schema_: Optional[str] = Field( + default=None, + alias="schema", + description="Schema where materialized table exists", + ) + table: str = Field(description="Table name of materialized data") + valid_through_ts: int = Field( + description="Timestamp (epoch) through which data is valid", + ) + url: Optional[str] = Field( + default=None, + description="URL to materialization job or dashboard", + ) + links: Optional[Dict[str, Any]] = Field( + default_factory=dict, + description="Additional links related to the materialization", + ) + + # Partition configuration + categorical_partitions: Optional[List[str]] = Field( + default_factory=list, + description="Ordered list of categorical partition columns", + ) + temporal_partitions: Optional[List[str]] = Field( + default_factory=list, + description="Ordered list of temporal partition columns", + ) + + # Temporal ranges + min_temporal_partition: Optional[List[str]] = Field( + default_factory=list, + description="Minimum temporal partition value", + ) + max_temporal_partition: Optional[List[str]] = Field( + default_factory=list, + description="Maximum temporal partition value (high-water mark)", + ) + + # Partition-level details + partitions: Optional[List[PartitionAvailability]] = Field( + default_factory=list, + description="Detailed partition-level availability", + ) + + class Config: + populate_by_name = True + + +class PreAggregationInfo(BaseModel): + """Response model for a pre-aggregation.""" + + id: int + node_revision_id: int + node_name: str # Derived from node_revision relationship + node_version: str # Derived from node_revision relationship + grain_columns: List[str] + measures: List[PreAggMeasure] # Full measure info (MetricComponent format) + columns: Optional[List[V3ColumnMetadata]] = None # Output columns with types + sql: str # The generated SQL for materializing this pre-agg + grain_group_hash: str + + # Materialization config + strategy: Optional[MaterializationStrategy] = None + schedule: Optional[str] = None + lookback_window: Optional[str] = None + + # Workflow state (persisted) + workflow_urls: Optional[List[WorkflowUrl]] = None # Labeled workflow URLs + workflow_status: Optional[str] = ( + None # WorkflowStatus.ACTIVE | WorkflowStatus.PAUSED | None + ) + + # Availability (derived from AvailabilityState) + status: str = "pending" # "pending" | "running" | "active" + materialized_table_ref: Optional[str] = None + max_partition: Optional[List[str]] = None + + # Related metrics (computed from FrozenMeasure relationships) + related_metrics: Optional[List[str]] = None # Metric names that use these measures + + # Metadata + created_at: datetime + updated_at: Optional[datetime] = None + + class Config: + from_attributes = True + + +class PreAggregationListResponse(BaseModel): + """Paginated list of pre-aggregations.""" + + items: List[PreAggregationInfo] + total: int + limit: int + offset: int + + +class PreAggregationFilters(BaseModel): + """Query filters for listing pre-aggregations.""" + + node_name: Optional[str] = Field( + default=None, + description="Filter by node name (latest version if node_version not specified)", + ) + node_version: Optional[str] = Field( + default=None, + description="Filter by node version (requires node_name)", + ) + grain: Optional[List[str]] = Field( + default=None, + description="Filter by grain columns (exact match)", + ) + grain_group_hash: Optional[str] = Field( + default=None, + description="Filter by grain group hash", + ) + measures: Optional[List[str]] = Field( + default=None, + description="Filter by measure names (pre-agg must contain ALL specified)", + ) + status: Optional[str] = Field( + default=None, + description="Filter by status: 'pending' or 'active'", + ) + limit: int = Field(default=50, ge=1, le=100) + offset: int = Field(default=0, ge=0) + + +class TemporalPartitionColumn(BaseModel): + """ + A single temporal partition column with its format and granularity. + + Used for incremental materialization to generate partition filters. + Supports both single-column (e.g., date_id) and multi-column (e.g., dateint + hour) + partition schemes. + """ + + column_name: str = Field(description="Column name in the output") + column_type: Optional[str] = Field( + default="int", + description="Column data type (e.g., 'int', 'string')", + ) + format: Optional[str] = Field( + default=None, + description="Format string (e.g., 'yyyyMMdd' for date, None for integer hour)", + ) + granularity: Optional[Granularity] = Field( + default=None, + description="Time granularity this column represents (DAY, HOUR, etc.)", + ) + expression: Optional[str] = Field( + default=None, + description="Optional SQL expression for filter generation", + ) + + +# Default daily schedule (midnight UTC) +DEFAULT_SCHEDULE = "0 0 * * *" + + +class PreAggMaterializationInput(BaseModel): + """ + Input for materializing a pre-aggregation. + + Sent to the query service's POST /preaggs/materialize endpoint. + Creates a scheduled workflow that runs on the configured schedule. + The query service uses `preagg_id` to callback to DJ's + POST /preaggs/{preagg_id}/availability/ when materialization completes. + """ + + # Pre-agg identity (for callback routing) + preagg_id: int = Field(description="Pre-aggregation ID for callback routing") + + # Output table (derived at call time, not stored) + output_table: str = Field( + description="Target table name (e.g., 'orders_fact__preagg_abc12345')", + ) + + # Source node info + node: NodeNameVersion = Field(description="Source node name and version") + + # Grain and measures + grain: List[str] = Field(description="Grain columns (fully qualified)") + measures: List[PreAggMeasure] = Field( + description="Measures with MetricComponent info", + ) + + # The SQL query to materialize + query: str = Field(description="SQL query for materialization") + + # Output columns metadata + columns: List[ColumnMetadata] = Field(description="Output column metadata") + + # Upstream tables used in the query (for dependency tracking) + upstream_tables: List[str] = Field( + default_factory=list, + description="List of upstream tables used in the query (e.g., ['catalog.schema.table'])", + ) + + # Partition info (for incremental materialization) + # Supports multi-column partitions (e.g., dateint + hour for hourly) + temporal_partitions: List[TemporalPartitionColumn] = Field( + default_factory=list, + description="Temporal partition columns for incremental materialization", + ) + + # Materialization config + strategy: MaterializationStrategy = Field( + description="Materialization strategy (FULL or INCREMENTAL_TIME)", + ) + schedule: str = Field( + default=DEFAULT_SCHEDULE, + description="Cron schedule for recurring materialization (default: daily at midnight)", + ) + lookback_window: Optional[str] = Field( + default=None, + description="Lookback window for incremental (e.g., '3 days')", + ) + timezone: Optional[str] = Field( + default="US/Pacific", + description="Timezone for scheduling", + ) + druid_spec: Optional[Dict[str, Any]] = Field( + default=None, + description="Druid ingestion spec", + ) + activate: bool = Field( + default=True, + description="Whether to activate the workflow immediately", + ) + + +# ============================================================================= +# Workflow Management Models +# ============================================================================= + + +class WorkflowResponse(BaseModel): + """Response model for workflow operations.""" + + workflow_url: Optional[str] = Field( + default=None, + description="URL to the scheduled workflow definition", + ) + status: str = Field( + description="Workflow status: 'active', 'paused', or 'none'", + ) + message: Optional[str] = Field( + default=None, + description="Additional information about the operation", + ) + + +class DeactivatedWorkflowInfo(BaseModel): + """Info about a single deactivated workflow.""" + + id: int = Field(description="Pre-aggregation ID") + workflow_name: Optional[str] = Field( + default=None, + description="Name of the deactivated workflow", + ) + + +class BulkDeactivateWorkflowsResponse(BaseModel): + """Response model for bulk workflow deactivation.""" + + deactivated_count: int = Field( + description="Number of workflows successfully deactivated", + ) + deactivated: List[DeactivatedWorkflowInfo] = Field( + default_factory=list, + description="Details of each deactivated workflow", + ) + skipped_count: int = Field( + default=0, + description="Number of pre-aggs skipped (no active workflow)", + ) + message: Optional[str] = Field( + default=None, + description="Additional information about the operation", + ) + + +# ============================================================================= +# Backfill Models +# ============================================================================= + + +class BackfillRequest(BaseModel): + """Request model for running a backfill.""" + + start_date: date = Field( + description="Start date for backfill (inclusive)", + ) + end_date: Optional[date] = Field( + default=None, + description="End date for backfill (inclusive). Defaults to today.", + ) + + +class BackfillResponse(BaseModel): + """Response model for backfill operation.""" + + job_url: str = Field( + description="URL to the backfill job", + ) + start_date: date = Field( + description="Start date of the backfill", + ) + end_date: date = Field( + description="End date of the backfill", + ) + status: str = Field( + default="running", + description="Job status", + ) + + +# ============================================================================= +# Query Service Input Models (sent to dj-query) +# ============================================================================= + + +# WorkflowInput is now consolidated into PreAggMaterializationInput +# Use PreAggMaterializationInput for both one-time and scheduled materializations + + +class BackfillInput(BaseModel): + """ + Simplified input for running a backfill in query service. + + The workflow must already exist (created via POST /preaggs/{id}/materialize). + Query Service uses node_name for readable workflow names and output_table + checksum for uniqueness. + + Note: For single-date runs, use same start_date and end_date. + """ + + preagg_id: int = Field(description="Pre-aggregation ID") + output_table: str = Field( + description="Output table name (used to derive workflow checksum)", + ) + node_name: str = Field( + description="Node name (used for readable workflow name)", + ) + start_date: date = Field(description="Backfill start date") + end_date: date = Field(description="Backfill end date") + + +class CubeBackfillInput(BaseModel): + """ + Input for running a cube backfill in query service. + + The cube workflow must already exist (created via POST /cubes/{name}/materialize). + Query Service uses cube_name and cube_version to derive workflow names via checksum. + """ + + cube_name: str = Field(description="Cube name (e.g., 'ads.my_cube')") + cube_version: str = Field( + description="Cube version (e.g., 'v1.0'). Required for workflow name checksum.", + ) + start_date: date = Field(description="Backfill start date") + end_date: date = Field(description="Backfill end date") + + +# Forward reference update +PlanPreAggregationsResponse.model_rebuild() diff --git a/datajunction-server/datajunction_server/models/query.py b/datajunction-server/datajunction_server/models/query.py new file mode 100644 index 000000000..19ca9f62b --- /dev/null +++ b/datajunction-server/datajunction_server/models/query.py @@ -0,0 +1,203 @@ +""" +Models for queries. +""" + +from datetime import datetime +from typing import Any, List, Optional, Union + +import msgpack +from pydantic import ( + AliasChoices, + AnyHttpUrl, + Field, + field_validator, + field_serializer, + RootModel, + ConfigDict, +) +from pydantic.main import BaseModel + +from datajunction_server.enum import IntEnum +from datajunction_server.typing import QueryState, Row + + +class BaseQuery(BaseModel): + """ + Base class for query models. + """ + + catalog_name: Optional[str] + engine_name: Optional[str] = None + engine_version: Optional[str] = None + + model_config = ConfigDict(populate_by_name=True) + + +class QueryCreate(BaseQuery): + """ + Model for submitted queries. + """ + + engine_name: str + engine_version: str + catalog_name: str + submitted_query: str + async_: bool = False + + +class ColumnMetadata(BaseModel): + """ + A simple model for column metadata. + """ + + name: str + type: str + column: Optional[str] = None + node: Optional[str] = None + semantic_entity: Optional[str] = None + semantic_type: Optional[str] = None + + def __hash__(self): + return hash((self.name, self.type)) # pragma: no cover + + +class V3ColumnMetadata(BaseModel): + """ + Simplified column metadata for V3 SQL endpoints. + + This is a cleaner version without legacy fields (column, node) that + V3 doesn't use. Provides clear semantic identification of output columns. + """ + + name: str # SQL alias in output (e.g., "category", "total_revenue") + type: str # SQL type (e.g., "string", "number", "int") + # Internal field name is semantic_name (matches build_v3) + # Serializes to 'semantic_entity' for API backwards compatibility + # Accepts both 'semantic_name' and 'semantic_entity' on deserialization + semantic_name: str = Field( + validation_alias=AliasChoices("semantic_name", "semantic_entity"), + serialization_alias="semantic_entity", + ) + semantic_type: str # "dimension" or "metric" + + model_config = ConfigDict(populate_by_name=True) + + def __hash__(self): + return hash((self.name, self.type, self.semantic_name)) # pragma: no cover + + +class StatementResults(BaseModel): + """ + Results for a given statement. + + This contains the SQL, column names and types, and rows + """ + + sql: str + columns: List[Union[ColumnMetadata, V3ColumnMetadata]] + rows: List[Row] + + # this indicates the total number of rows, and is useful for paginated requests + row_count: int = 0 + + +class QueryResults(RootModel): + """ + Results for a given query. + """ + + root: List[StatementResults] + + +class TableRef(BaseModel): + """ + Table reference + """ + + catalog: str + schema_: str = Field(alias="schema") + table: str + + +class QueryWithResults(BaseModel): + """ + Model for query with results. + """ + + id: str + engine_name: Optional[str] = None + engine_version: Optional[str] = None + submitted_query: str + executed_query: Optional[str] = None + + scheduled: Optional[datetime] = None + started: Optional[datetime] = None + finished: Optional[datetime] = None + + state: QueryState = QueryState.UNKNOWN + progress: float = 0.0 + + output_table: Optional[TableRef] = None + results: QueryResults + next: Optional[AnyHttpUrl] = None + previous: Optional[AnyHttpUrl] = None + errors: List[str] = [] + links: Optional[List[AnyHttpUrl]] = None + + @field_serializer("next", "previous") + def serialize_single_url(self, url: Optional[AnyHttpUrl]) -> Optional[str]: + return str(url) if url else None + + @field_serializer("links") + def serialize_links(self, links: Optional[List[AnyHttpUrl]]) -> Optional[List[str]]: + return [str(url) for url in links] if links else None + + @field_validator("scheduled", mode="before") + def parse_scheduled_date_string(cls, value): + """ + Convert string date values to datetime + """ + return datetime.fromisoformat(value) if isinstance(value, str) else value + + @field_validator("started", mode="before") + def parse_started_date_string(cls, value): + """ + Convert string date values to datetime + """ + return datetime.fromisoformat(value) if isinstance(value, str) else value + + @field_validator("finished", mode="before") + def parse_finisheddate_string(cls, value): + """ + Convert string date values to datetime + """ + return datetime.fromisoformat(value) if isinstance(value, str) else value + + +class QueryExtType(IntEnum): + """ + Custom ext type for msgpack. + """ + + UUID = 1 + TIMESTAMP = 2 + + +def encode_results(obj: Any) -> Any: + """ + Custom msgpack encoder for ``QueryWithResults``. + """ + if isinstance(obj, datetime): + return msgpack.ExtType(QueryExtType.TIMESTAMP, obj.isoformat().encode("utf-8")) + + return obj + + +def decode_results(code: int, data: bytes) -> Any: + """ + Custom msgpack decoder for ``QueryWithResults``. + """ + if code == QueryExtType.TIMESTAMP: + return datetime.fromisoformat(data.decode()) + + return msgpack.ExtType(code, data) diff --git a/datajunction-server/datajunction_server/models/rbac.py b/datajunction-server/datajunction_server/models/rbac.py new file mode 100644 index 000000000..85097cbee --- /dev/null +++ b/datajunction-server/datajunction_server/models/rbac.py @@ -0,0 +1,81 @@ +"""Pydantic models for RBAC.""" + +from pydantic import BaseModel, ConfigDict, Field + +from datajunction_server.models.access import ResourceAction, ResourceType +from datajunction_server.typing import UTCDatetime + + +class PrincipalOutput(BaseModel): + """Output for a principal (user, service account, or group).""" + + username: str + email: str | None = None + + model_config = ConfigDict(from_attributes=True) + + +class RoleScopeInput(BaseModel): + """Input for creating a role scope.""" + + action: ResourceAction + scope_type: ResourceType + scope_value: str = Field(..., max_length=500) + + +class RoleScopeOutput(BaseModel): + """Output for role scope.""" + + action: ResourceAction + scope_type: ResourceType + scope_value: str + + model_config = ConfigDict(from_attributes=True) + + +class RoleCreate(BaseModel): + """Input for creating a role.""" + + name: str = Field(..., max_length=255, min_length=1) + description: str | None = None + scopes: list[RoleScopeInput] = Field(default_factory=list) + + +class RoleUpdate(BaseModel): + """Input for updating a role.""" + + name: str | None = Field(None, max_length=255, min_length=1) + description: str | None = None + + +class RoleOutput(BaseModel): + """Output for role.""" + + id: int + name: str + description: str | None + created_by: PrincipalOutput + created_at: UTCDatetime + deleted_at: UTCDatetime | None = None + scopes: list[RoleScopeOutput] = Field(default_factory=list) + + model_config = ConfigDict(from_attributes=True) + + +class RoleAssignmentCreate(BaseModel): + """Input for assigning a role to a principal.""" + + principal_username: str + expires_at: UTCDatetime | None = None + + +class RoleAssignmentOutput(BaseModel): + """Output for role assignment.""" + + principal: PrincipalOutput + role: RoleOutput + granted_by: PrincipalOutput + granted_at: UTCDatetime + expires_at: UTCDatetime | None + + model_config = ConfigDict(from_attributes=True) diff --git a/datajunction-server/datajunction_server/models/service_account.py b/datajunction-server/datajunction_server/models/service_account.py new file mode 100644 index 000000000..0cb922c7c --- /dev/null +++ b/datajunction-server/datajunction_server/models/service_account.py @@ -0,0 +1,42 @@ +from pydantic import BaseModel +from datajunction_server.typing import UTCDatetime + + +class ServiceAccountCreate(BaseModel): + """ + Payload to create a service account + """ + + name: str + + +class ServiceAccountCreateResponse(BaseModel): + """ + Response payload for creating a service account + """ + + id: int + name: str + client_id: str + client_secret: str # returned once + + +class ServiceAccountOutput(BaseModel): + """ + Response payload for creating a service account + """ + + id: int + name: str + client_id: str + created_at: UTCDatetime + + +class TokenResponse(BaseModel): + """ + Response payload for service account login + """ + + token: str + token_type: str + expires_in: int diff --git a/datajunction-server/datajunction_server/models/sql.py b/datajunction-server/datajunction_server/models/sql.py new file mode 100644 index 000000000..245a96c73 --- /dev/null +++ b/datajunction-server/datajunction_server/models/sql.py @@ -0,0 +1,121 @@ +""" +Models for generated SQL +""" + +from typing import List, Optional + +from datajunction_server.transpilation import transpile_sql +from pydantic import field_validator +from pydantic.main import BaseModel + +from datajunction_server.errors import DJQueryBuildError +from datajunction_server.models.cube_materialization import MetricComponent +from datajunction_server.models.engine import Dialect +from datajunction_server.models.node_type import NodeNameVersion +from datajunction_server.models.query import ColumnMetadata, V3ColumnMetadata + + +class TranspiledSQL(BaseModel): + """ + Generated SQL for a given node, the output of a QueryBuilder(...).build() call. + """ + + sql: str + dialect: Optional[Dialect] = None + + @classmethod + def create(cls, *, dialect, **kwargs): + sql = transpile_sql(kwargs["sql"], dialect) + return cls( + sql=sql, + dialect=dialect, + **{k: v for k, v in kwargs.items() if k not in {"sql", "dialect"}}, + ) + + @field_validator("dialect", mode="before") + def validate_dialect(cls, v): + if v is None: + return None + return Dialect(v) + + +class GeneratedSQL(TranspiledSQL): + """ + Generated SQL for a given node, the output of a QueryBuilder(...).build() call. + """ + + node: NodeNameVersion + sql: str + columns: Optional[List[ColumnMetadata]] = None # pragma: no-cover + grain: list[str] | None = None + dialect: Optional[Dialect] = None + upstream_tables: Optional[List[str]] = None + metrics: dict[str, tuple[list[MetricComponent], str]] | None = None + spark_conf: dict[str, str] | None = None + errors: Optional[List[DJQueryBuildError]] = None + + +class ComponentResponse(BaseModel): + """Response model for a metric component in measures SQL.""" + + name: str # Component name (e.g., "unit_price_sum") + expression: str # The raw SQL expression (e.g., "unit_price") + aggregation: Optional[str] = None # Phase 1: "SUM", "COUNT", etc. + merge: Optional[str] = ( + None # Phase 2 (re-aggregation): "SUM", "COUNT_DISTINCT", etc. + ) + aggregability: str # "FULL", "LIMITED", or "NONE" + + +class MetricFormulaResponse(BaseModel): + """Response model for a metric's combiner formula.""" + + name: str # Full metric name (e.g., "v3.avg_unit_price") + short_name: str # Short name (e.g., "avg_unit_price") + query: str # Original metric query (e.g., "SELECT AVG(unit_price) FROM ...") + combiner: str # Formula combining components (e.g., "SUM(unit_price_sum) / SUM(unit_price_count)") + components: List[str] # Component names used in this metric + is_derived: bool # True if metric is derived from other metrics + parent_name: Optional[str] = None # Source fact/transform node name + + +class GrainGroupResponse(BaseModel): + """Response model for a single grain group in measures SQL.""" + + sql: str + columns: List[V3ColumnMetadata] # Clean V3 column metadata + grain: List[str] + aggregability: str + metrics: List[str] + components: List[ + ComponentResponse + ] # Metric components for materialization planning + parent_name: str # Source fact/transform node name + + +class MeasuresSQLResponse(BaseModel): + """Response model for V3 measures SQL with multiple grain groups.""" + + grain_groups: List[GrainGroupResponse] + metric_formulas: List[MetricFormulaResponse] # How metrics combine components + dialect: Optional[str] = None + requested_dimensions: List[str] + + +class CombinedMeasuresSQLResponse(BaseModel): + """ + Response model for combined measures SQL. + + This endpoint combines multiple grain groups into a single SQL query + using FULL OUTER JOIN on shared dimensions with COALESCE for dimension columns. + """ + + sql: str # Combined SQL query + columns: List[V3ColumnMetadata] # Output columns with semantic metadata + grain: List[str] # Shared grain columns (dimensions) + grain_groups_combined: int # Number of grain groups that were combined + dialect: Optional[str] = None + use_preagg_tables: ( + bool # If True, data is read from pre-agg tables; if False, from source tables + ) + source_tables: List[str] # Tables being read (pre-agg tables or source tables) diff --git a/datajunction-server/datajunction_server/models/system.py b/datajunction-server/datajunction_server/models/system.py new file mode 100644 index 000000000..507d56cec --- /dev/null +++ b/datajunction-server/datajunction_server/models/system.py @@ -0,0 +1,21 @@ +from typing import Any +from pydantic import BaseModel + + +class RowOutput(BaseModel): + """ + Output model for node counts. + """ + + value: Any + col: str + + +class DimensionStats(BaseModel): + """ + Output model for dimension statistics. + """ + + name: str + indegree: int = 0 + cube_count: int diff --git a/datajunction-server/datajunction_server/models/table.py b/datajunction-server/datajunction_server/models/table.py new file mode 100644 index 000000000..54d63830f --- /dev/null +++ b/datajunction-server/datajunction_server/models/table.py @@ -0,0 +1,48 @@ +""" +Models for tables. +""" + +from typing import List, Optional, TypedDict + +from pydantic import Field +from pydantic.main import BaseModel + + +class TableYAML(TypedDict, total=False): + """ + Schema of a table in the YAML file. + """ + + catalog: Optional[str] + schema: Optional[str] + table: str + cost: float + + +class TableBase(BaseModel): + """ + A base table. + """ + + schema_: Optional[str] = Field(default=None, alias="schema") + table: str + cost: float = 1.0 + + +class CreateColumn(BaseModel): + """ + A column creation request + """ + + name: str + type: str + + +class CreateTable(TableBase): + """ + Create table input + """ + + database_name: str + catalog_name: str + columns: List[CreateColumn] diff --git a/datajunction-server/datajunction_server/models/tag.py b/datajunction-server/datajunction_server/models/tag.py new file mode 100644 index 000000000..1c0b900cc --- /dev/null +++ b/datajunction-server/datajunction_server/models/tag.py @@ -0,0 +1,63 @@ +""" +Models for tags. +""" + +from typing import TYPE_CHECKING, Any, Dict, Optional + +from pydantic import ConfigDict, Field +from pydantic.main import BaseModel + +if TYPE_CHECKING: + pass + + +class MutableTagFields(BaseModel): + """ + Tag fields that can be changed. + """ + + description: Optional[str] = None + display_name: Optional[str] = None + tag_metadata: Optional[Dict[str, Any]] = Field(default_factory=dict) + + model_config = ConfigDict(arbitrary_types_allowed=True) + + +class ImmutableTagFields(BaseModel): + """ + Tag fields that cannot be changed. + """ + + name: str + tag_type: str + + +class CreateTag(ImmutableTagFields, MutableTagFields): + """ + Create tag model. + """ + + +class TagMinimum(BaseModel): + """ + Output tag model. + """ + + name: str + model_config = ConfigDict(from_attributes=True) + + +class TagOutput(ImmutableTagFields, MutableTagFields): + """ + Output tag model. + """ + + model_config = ConfigDict(from_attributes=True) + + +class UpdateTag(MutableTagFields): + """ + Update tag model. Only works on mutable fields. + """ + + model_config = ConfigDict(extra="forbid") diff --git a/datajunction-server/datajunction_server/models/user.py b/datajunction-server/datajunction_server/models/user.py new file mode 100644 index 000000000..4422b2c60 --- /dev/null +++ b/datajunction-server/datajunction_server/models/user.py @@ -0,0 +1,63 @@ +""" +Models for users and auth +""" + +from pydantic import BaseModel, ConfigDict + +from datajunction_server.database.user import OAuthProvider +from datajunction_server.models.catalog import CatalogInfo +from datajunction_server.models.node import NodeType +from datajunction_server.typing import UTCDatetime + + +class CreatedNode(BaseModel): + """ + A node created by a user + """ + + namespace: str + type: NodeType + name: str + catalog: CatalogInfo | None = None + schema_: str | None = None + table: str | None = None + description: str = "" + query: str | None = None + created_at: UTCDatetime + current_version: str + missing_table: bool | None = False + + model_config = ConfigDict(from_attributes=True) + + +class UserOutput(BaseModel): + """User information to be included in responses""" + + id: int + username: str + email: str | None = None + name: str | None = None + oauth_provider: OAuthProvider + is_admin: bool = False + last_viewed_notifications_at: UTCDatetime | None = None + + model_config = ConfigDict(from_attributes=True) + + +class UserNameOnly(BaseModel): + """ + Username only + """ + + username: str + + model_config = ConfigDict(from_attributes=True) + + +class UserActivity(BaseModel): + """ + User activity info + """ + + username: str + count: int diff --git a/datajunction-server/datajunction_server/naming.py b/datajunction-server/datajunction_server/naming.py new file mode 100644 index 000000000..b2f46e893 --- /dev/null +++ b/datajunction-server/datajunction_server/naming.py @@ -0,0 +1,61 @@ +"""Naming related utils.""" + +from string import ascii_letters, digits +from typing import List + +SEPARATOR = "." + +ACCEPTABLE_CHARS = set(ascii_letters + digits + "_") +LOOKUP_CHARS = { + ".": "DOT", + "'": "QUOTE", + '"': "DQUOTE", + "`": "BTICK", + "!": "EXCL", + "@": "AT", + "#": "HASH", + "$": "DOLLAR", + "%": "PERC", + "^": "CARAT", + "&": "AMP", + "*": "STAR", + "(": "LPAREN", + ")": "RPAREN", + "[": "LBRACK", + "]": "RBRACK", + "-": "MINUS", + "+": "PLUS", + "=": "EQ", + "/": "FSLSH", + "\\": "BSLSH", + "|": "PIPE", + "~": "TILDE", + ">": "GT", + "<": "LT", +} + + +def amenable_name(name: str) -> str: + """Takes a string and makes it have only alphanumerics""" + ret: List[str] = [] + cont: List[str] = [] + for char in name: + if char in ACCEPTABLE_CHARS: + cont.append(char) + else: + ret.append("".join(cont)) + ret.append(LOOKUP_CHARS.get(char, "UNK")) + cont = [] + + return ("_".join(ret) + "_" + "".join(cont)).strip("_") + + +def from_amenable_name(name: str) -> str: + """ + Takes a string and converts it back to a namespaced name + """ + for replacement, to_replace in LOOKUP_CHARS.items(): + name = name.replace(f"_{to_replace}_", replacement) + name = name.replace(f"_{to_replace}", replacement) + name = name.replace(f"{to_replace}_", replacement) + return name diff --git a/datajunction-server/datajunction_server/query_clients/__init__.py b/datajunction-server/datajunction_server/query_clients/__init__.py new file mode 100644 index 000000000..5fcaf20b8 --- /dev/null +++ b/datajunction-server/datajunction_server/query_clients/__init__.py @@ -0,0 +1,19 @@ +"""Configurable query client implementations""" + +from datajunction_server.query_clients.base import BaseQueryServiceClient +from datajunction_server.query_clients.http import HttpQueryServiceClient + +__all__ = [ + "BaseQueryServiceClient", + "HttpQueryServiceClient", + "SnowflakeClient", +] + + +def __getattr__(name): + """Lazy import for optional clients to avoid import errors.""" + if name == "SnowflakeClient": + from datajunction_server.query_clients.snowflake import SnowflakeClient + + return SnowflakeClient + raise AttributeError(f"module '{__name__}' has no attribute '{name}'") diff --git a/datajunction-server/datajunction_server/query_clients/base.py b/datajunction-server/datajunction_server/query_clients/base.py new file mode 100644 index 000000000..a1220a20b --- /dev/null +++ b/datajunction-server/datajunction_server/query_clients/base.py @@ -0,0 +1,315 @@ +"""Base abstract class for query service clients.""" + +import logging +from abc import ABC, abstractmethod +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union + +from datajunction_server.database.column import Column +from datajunction_server.models.cube_materialization import ( + DruidCubeMaterializationInput, +) +from datajunction_server.models.materialization import ( + DruidMaterializationInput, + GenericMaterializationInput, + MaterializationInfo, +) +from datajunction_server.models.preaggregation import PreAggMaterializationInput +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import PartitionBackfill +from datajunction_server.models.query import QueryCreate, QueryWithResults + +if TYPE_CHECKING: + from datajunction_server.database.engine import Engine + from datajunction_server.models.preaggregation import ( + BackfillInput, + CubeBackfillInput, + ) + +_logger = logging.getLogger(__name__) + + +class BaseQueryServiceClient(ABC): + """ + Abstract base class for query service clients. + + This class defines the interface that all query service clients must implement. + Custom implementations can selectively implement only the methods they need. + """ + + @abstractmethod + def get_columns_for_table( + self, + catalog: str, + schema: str, + table: str, + request_headers: Optional[Dict[str, str]] = None, + engine: Optional["Engine"] = None, + ) -> List[Column]: + """ + Retrieves columns for a table. + + Args: + catalog: The catalog name + schema: The schema name + table: The table name + request_headers: Optional HTTP headers + engine: Optional engine for context + + Returns: + List of Column objects + """ + pass + + def create_view( + self, + view_name: str, + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> str: + """ + Re-create a view using the query service. + + Default implementation raises NotImplementedError. + Override in subclasses that support view creation. + + Args: + view_name: Name of the view to create + query_create: Query creation parameters + request_headers: Optional HTTP headers + + Returns: + Success message string + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support view creation", + ) + + def submit_query( + self, + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + """ + Submit a query to the query service. + + Default implementation raises NotImplementedError. + Override in subclasses that support query submission. + + Args: + query_create: Query creation parameters + request_headers: Optional HTTP headers + + Returns: + QueryWithResults containing query results + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support query submission", + ) + + def get_query( + self, + query_id: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + """ + Get a previously submitted query. + + Default implementation raises NotImplementedError. + Override in subclasses that support query retrieval. + + Args: + query_id: ID of the query to retrieve + request_headers: Optional HTTP headers + + Returns: + QueryWithResults containing query results + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support query retrieval", + ) + + def materialize( + self, + materialization_input: Union[ + GenericMaterializationInput, + DruidMaterializationInput, + ], + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Post a request to set up a scheduled materialization. + + Default implementation raises NotImplementedError. + Override in subclasses that support materialization. + + Args: + materialization_input: Materialization configuration + request_headers: Optional HTTP headers + + Returns: + MaterializationInfo with materialization details + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support materialization", + ) + + def materialize_cube( + self, + materialization_input: DruidCubeMaterializationInput, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Post a request to set up a scheduled cube materialization. + + Default implementation raises NotImplementedError. + Override in subclasses that support cube materialization. + + Args: + materialization_input: Cube materialization configuration + request_headers: Optional HTTP headers + + Returns: + MaterializationInfo with materialization details + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support cube materialization", + ) + + def materialize_preagg( + self, + materialization_input: PreAggMaterializationInput, + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """ + Create/update a scheduled workflow for a pre-aggregation materialization. + + This creates or updates the recurring workflow that materializes the pre-agg + on the configured schedule. + + Default implementation raises NotImplementedError. + Override in subclasses that support pre-aggregation materialization. + + Args: + materialization_input: Pre-aggregation materialization configuration + request_headers: Optional HTTP headers + + Returns: + Dict with 'workflow_url', 'status', and optionally other details + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support pre-aggregation materialization", + ) + + def deactivate_preagg_workflow( + self, + output_table: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """Deactivate a pre-aggregation's workflows by output table name.""" + raise NotImplementedError( + f"{self.__class__.__name__} does not support pre-aggregation workflows", + ) + + def run_preagg_backfill( + self, + backfill_input: "BackfillInput", + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """Run a backfill for a pre-aggregation.""" + raise NotImplementedError( + f"{self.__class__.__name__} does not support pre-aggregation backfill", + ) + + def run_cube_backfill( + self, + backfill_input: "CubeBackfillInput", + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """Run a backfill for a cube.""" + raise NotImplementedError( + f"{self.__class__.__name__} does not support cube backfill", + ) + + def deactivate_materialization( + self, + node_name: str, + materialization_name: str, + node_version: str | None = None, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Deactivates the specified node materialization. + + Default implementation raises NotImplementedError. + Override in subclasses that support materialization deactivation. + + Args: + node_name: Name of the node + materialization_name: Name of the materialization + node_version: Optional version of the node + request_headers: Optional HTTP headers + + Returns: + MaterializationInfo with deactivation details + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support materialization deactivation", + ) + + def get_materialization_info( + self, + node_name: str, + node_version: str, + node_type: NodeType, + materialization_name: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Gets materialization info for the node and materialization config name. + + Default implementation raises NotImplementedError. + Override in subclasses that support materialization info retrieval. + + Args: + node_name: Name of the node + node_version: Version of the node + node_type: Type of the node + materialization_name: Name of the materialization + request_headers: Optional HTTP headers + + Returns: + MaterializationInfo with materialization details + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support materialization info retrieval", + ) + + def run_backfill( + self, + node_name: str, + node_version: str, + node_type: NodeType, + materialization_name: str, + partitions: List[PartitionBackfill], + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Kicks off a backfill with the given backfill spec. + + Default implementation raises NotImplementedError. + Override in subclasses that support backfill operations. + + Args: + node_name: Name of the node + node_version: Version of the node + node_type: Type of the node + materialization_name: Name of the materialization + partitions: List of partition backfill specifications + request_headers: Optional HTTP headers + + Returns: + MaterializationInfo with backfill details + """ + raise NotImplementedError( + f"{self.__class__.__name__} does not support backfill operations", + ) diff --git a/datajunction-server/datajunction_server/query_clients/http.py b/datajunction-server/datajunction_server/query_clients/http.py new file mode 100644 index 000000000..c0995cfdc --- /dev/null +++ b/datajunction-server/datajunction_server/query_clients/http.py @@ -0,0 +1,243 @@ +"""HTTP query service client - wrapper around the original QueryServiceClient.""" + +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union + +from datajunction_server.database.column import Column +from datajunction_server.models.cube_materialization import ( + CubeMaterializationV2Input, + DruidCubeMaterializationInput, +) +from datajunction_server.models.materialization import ( + DruidMaterializationInput, + GenericMaterializationInput, + MaterializationInfo, +) +from datajunction_server.models.preaggregation import PreAggMaterializationInput +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import PartitionBackfill +from datajunction_server.models.query import QueryCreate, QueryWithResults +from datajunction_server.query_clients.base import BaseQueryServiceClient +from datajunction_server.service_clients import QueryServiceClient + +if TYPE_CHECKING: + from datajunction_server.database.engine import Engine + from datajunction_server.models.preaggregation import ( + BackfillInput, + CubeBackfillInput, + ) + + +class HttpQueryServiceClient(BaseQueryServiceClient): + """ + HTTP-based query service client that wraps the original QueryServiceClient. + + This maintains backward compatibility with the existing HTTP query service pattern. + All methods are simple pass-throughs to the underlying QueryServiceClient. + """ + + def __init__(self, uri: str, retries: int = 0): + """ + Initialize the HTTP query service client. + + Args: + uri: URI of the query service + retries: Number of retries for failed requests + """ + self.uri = uri + self._client = QueryServiceClient(uri=uri, retries=retries) + + def get_columns_for_table( + self, + catalog: str, + schema: str, + table: str, + request_headers: Optional[Dict[str, str]] = None, + engine: Optional["Engine"] = None, + ) -> List[Column]: + """Retrieves columns for a table via HTTP query service.""" + return self._client.get_columns_for_table( + catalog=catalog, + schema=schema, + table=table, + request_headers=request_headers, + engine=engine, + ) + + def create_view( + self, + view_name: str, + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> str: + """Re-create a view using the HTTP query service.""" + return self._client.create_view( + view_name=view_name, + query_create=query_create, + request_headers=request_headers, + ) + + def submit_query( + self, + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + """Submit a query to the HTTP query service.""" + return self._client.submit_query( + query_create=query_create, + request_headers=request_headers, + ) + + def get_query( + self, + query_id: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + """Get a previously submitted query from the HTTP query service.""" + return self._client.get_query( + query_id=query_id, + request_headers=request_headers, + ) + + def materialize( + self, + materialization_input: Union[ + GenericMaterializationInput, + DruidMaterializationInput, + ], + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """Set up a scheduled materialization via HTTP query service.""" + return self._client.materialize( + materialization_input=materialization_input, + request_headers=request_headers, + ) + + def materialize_cube( + self, + materialization_input: DruidCubeMaterializationInput, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """Set up a scheduled cube materialization via HTTP query service.""" + return self._client.materialize_cube( + materialization_input=materialization_input, + request_headers=request_headers, + ) + + def materialize_cube_v2( + self, + materialization_input: CubeMaterializationV2Input, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """Set up a v2 cube materialization (pre-agg based) via HTTP query service.""" + return self._client.materialize_cube_v2( # pragma: no cover + materialization_input=materialization_input, + request_headers=request_headers, + ) + + def materialize_preagg( + self, + materialization_input: PreAggMaterializationInput, + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """Create/update a scheduled workflow for pre-aggregation materialization via HTTP query service.""" + return self._client.materialize_preagg( + materialization_input=materialization_input, + request_headers=request_headers, + ) + + def deactivate_preagg_workflow( + self, + output_table: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """Deactivate a pre-aggregation's workflows via HTTP query service.""" + return self._client.deactivate_preagg_workflow( + output_table=output_table, + request_headers=request_headers, + ) + + def deactivate_cube_workflow( + self, + cube_name: str, + version: Optional[str] = None, + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """Deactivate a cube's Druid materialization workflow via HTTP query service.""" + return self._client.deactivate_cube_workflow( # pragma: no cover + cube_name=cube_name, + version=version, + request_headers=request_headers, + ) + + def run_preagg_backfill( + self, + backfill_input: "BackfillInput", + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """Run a backfill for a pre-aggregation via HTTP query service.""" + return self._client.run_preagg_backfill( + backfill_input=backfill_input, + request_headers=request_headers, + ) + + def run_cube_backfill( + self, + backfill_input: "CubeBackfillInput", + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """Run a backfill for a cube via HTTP query service.""" + return self._client.run_cube_backfill( # pragma: no cover + backfill_input=backfill_input, + request_headers=request_headers, + ) + + def deactivate_materialization( + self, + node_name: str, + materialization_name: str, + node_version: str | None = None, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """Deactivate materialization via HTTP query service.""" + return self._client.deactivate_materialization( + node_name=node_name, + materialization_name=materialization_name, + node_version=node_version, + request_headers=request_headers, + ) + + def get_materialization_info( + self, + node_name: str, + node_version: str, + node_type: NodeType, + materialization_name: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """Get materialization info via HTTP query service.""" + return self._client.get_materialization_info( + node_name=node_name, + node_version=node_version, + node_type=node_type, + materialization_name=materialization_name, + request_headers=request_headers, + ) + + def run_backfill( + self, + node_name: str, + node_version: str, + node_type: NodeType, + materialization_name: str, + partitions: List[PartitionBackfill], + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """Run backfill via HTTP query service.""" + return self._client.run_backfill( + node_name=node_name, + node_version=node_version, + node_type=node_type, + materialization_name=materialization_name, + partitions=partitions, + request_headers=request_headers, + ) diff --git a/datajunction-server/datajunction_server/query_clients/snowflake.py b/datajunction-server/datajunction_server/query_clients/snowflake.py new file mode 100644 index 000000000..0e4450488 --- /dev/null +++ b/datajunction-server/datajunction_server/query_clients/snowflake.py @@ -0,0 +1,331 @@ +"""Snowflake query client using direct snowflake-connector-python.""" + +import logging +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +from datajunction_server.database.column import Column +from datajunction_server.errors import ( + DJDoesNotExistException, + DJQueryServiceClientException, +) +from datajunction_server.query_clients.base import BaseQueryServiceClient +from datajunction_server.sql.parsing.types import ColumnType + +if TYPE_CHECKING: + from datajunction_server.database.engine import Engine + +try: # pragma: no cover + import snowflake.connector + from snowflake.connector import DictCursor + from snowflake.connector import DatabaseError as SnowflakeDatabaseError + + SNOWFLAKE_AVAILABLE = True +except ImportError: # pragma: no cover + snowflake = None + DictCursor = None + SnowflakeDatabaseError = None + SNOWFLAKE_AVAILABLE = False + +_logger = logging.getLogger(__name__) + + +class SnowflakeClient(BaseQueryServiceClient): + """ + Snowflake query client using direct snowflake-connector-python. + + This client connects directly to Snowflake without requiring an external query service. + It implements the essential methods for table introspection and querying. + """ + + def __init__( + self, + account: str, + user: str, + password: Optional[str] = None, + warehouse: str = "COMPUTE_WH", + database: str = "SNOWFLAKE", + schema: str = "PUBLIC", + role: Optional[str] = None, + authenticator: str = "snowflake", + private_key_path: Optional[str] = None, + **connection_kwargs, + ): + """ + Initialize the Snowflake client. + + Args: + account: Snowflake account identifier + user: Username for authentication + password: Password for authentication (optional if using key-based auth) + warehouse: Default warehouse to use + database: Default database to use + schema: Default schema to use + role: Role to assume (optional) + authenticator: Authentication method ('snowflake', 'oauth', etc.) + private_key_path: Path to private key file for key-based auth + **connection_kwargs: Additional connection parameters + """ + if not SNOWFLAKE_AVAILABLE: + raise ImportError( + "snowflake-connector-python is required for SnowflakeClient. " + "Install with: pip install 'datajunction-server[snowflake]' " + "or pip install snowflake-connector-python", + ) + + self.connection_params: Dict[str, Any] = { + "account": account, + "user": user, + "warehouse": warehouse, + "database": database, + "schema": schema, + "authenticator": authenticator, + **connection_kwargs, + } + + if password: + self.connection_params["password"] = password + if role: + self.connection_params["role"] = role + if private_key_path: + # Load private key for key-based authentication + with open(private_key_path, "rb") as f: + private_key_bytes = f.read() + self.connection_params["private_key"] = private_key_bytes + + def _get_connection(self): + """Get a Snowflake connection.""" + return snowflake.connector.connect(**self.connection_params) + + def _get_database_from_engine(self, engine, fallback_catalog: str) -> str: + """ + Extract the actual Snowflake database name from the engine URI. + + Args: + engine: The DJ Engine object containing connection info + fallback_catalog: Fallback catalog name if engine parsing fails + + Returns: + The actual Snowflake database name to use + """ + if not engine or not engine.uri: + # No engine provided, use the configured default database + return self.connection_params.get("database", fallback_catalog) + + try: + # Parse the engine URI to extract database name + # Snowflake URIs typically look like: snowflake://user:pass@account/database?warehouse=wh + from urllib.parse import urlparse + + parsed = urlparse(engine.uri) + + if parsed.path and len(parsed.path) > 1: # path starts with '/' + database_name = parsed.path.lstrip("/") + # Handle case where path might have additional segments + database_name = database_name.split("/")[0] + if database_name: + return database_name + + # If we can't parse the database from URI, check query parameters + if parsed.query: + from urllib.parse import parse_qs + + query_params = parse_qs(parsed.query) + if "database" in query_params and query_params["database"]: + return query_params["database"][0] + + except Exception as e: # pragma: no cover + _logger.warning( + f"Failed to parse database from engine URI {engine.uri}: {e}. " + f"Using fallback: {fallback_catalog}", + ) + + # Fall back to the configured database or catalog name + return self.connection_params.get("database", fallback_catalog) + + def get_columns_for_table( + self, + catalog: str, + schema: str, + table: str, + request_headers: Optional[Dict[str, str]] = None, + engine: Optional["Engine"] = None, + ) -> List[Column]: + """ + Retrieves columns for a table from Snowflake information schema. + """ + try: + conn = self._get_connection() + + # Extract actual Snowflake database name from engine URI if provided + actual_database = self._get_database_from_engine(engine, catalog) + + with conn.cursor(DictCursor) as cursor: + # Use Snowflake's INFORMATION_SCHEMA to get column information + query = """ + SELECT + column_name, + data_type, + is_nullable, + ordinal_position + FROM information_schema.columns + WHERE table_catalog = %s + AND table_schema = %s + AND table_name = %s + ORDER BY ordinal_position + """ + + cursor.execute( + query, + (actual_database.upper(), schema.upper(), table.upper()), + ) + rows = cursor.fetchall() + + if not rows: + raise DJDoesNotExistException( + message=f"No columns found for table {actual_database}.{schema}.{table} " + f"(DJ catalog: {catalog})", + ) + + columns = [] + for row in rows: + column_type = self._map_snowflake_type_to_dj(row["DATA_TYPE"]) + columns.append( + Column( + name=row["COLUMN_NAME"], + type=column_type, + order=row["ORDINAL_POSITION"] + - 1, # Convert to 0-based index + ), + ) + + return columns + + except DJDoesNotExistException: + # Re-raise DJDoesNotExistException as-is + raise + except Exception as e: # pragma: no cover + # Check if it's a Snowflake DatabaseError (only if snowflake is available) + if ( + SNOWFLAKE_AVAILABLE + and SnowflakeDatabaseError + and isinstance(e, SnowflakeDatabaseError) + ): + if "does not exist" in str(e).lower(): + actual_database = self._get_database_from_engine(engine, catalog) + raise DJDoesNotExistException( + message=f"Table not found: {actual_database}.{schema}.{table} " + f"(DJ catalog: {catalog})", + ) + raise DJQueryServiceClientException( + message=f"Error retrieving columns from Snowflake: {str(e)}", + ) + _logger.exception( + "Unexpected error in get_columns_for_table", + ) # pragma: no cover + raise DJQueryServiceClientException( + message=f"Unexpected error retrieving columns: {str(e)}", + ) + finally: # pragma: no cover + if "conn" in locals(): + conn.close() + + def _map_snowflake_type_to_dj(self, snowflake_type: str) -> ColumnType: + """ + Map Snowflake data types to DJ ColumnType. + + Args: + snowflake_type: Snowflake data type string + + Returns: + Corresponding ColumnType instance + """ + from datajunction_server.sql.parsing.types import ( + BigIntType, + BooleanType, + DateType, + DecimalType, + DoubleType, + FloatType, + IntegerType, + StringType, + TimeType, + TimestampType, + ) + + snowflake_type = snowflake_type.upper() + + # Check if it's a type with parameters + if "(" in snowflake_type and snowflake_type.split("(")[0] in ( + "NUMBER", + "DECIMAL", + "NUMERIC", + ): + base_type = snowflake_type.split("(")[0] + # For snowflake number/decimal/numeric types we have to extract precision and scale + try: + params = snowflake_type.split("(")[1].rstrip(")").split(",") + precision = int(params[0].strip()) + scale = int(params[1].strip()) if len(params) > 1 else 0 + return DecimalType(precision, scale) + except (ValueError, IndexError): + pass # Fall back to default decimal + else: # pragma: no cover + base_type = snowflake_type + + type_mapping = { + "NUMBER": DecimalType(38, 0), + "DECIMAL": DecimalType(38, 0), + "NUMERIC": DecimalType(38, 0), + "INT": IntegerType(), + "INTEGER": IntegerType(), + "BIGINT": BigIntType(), + "SMALLINT": IntegerType(), + "TINYINT": IntegerType(), + "BYTEINT": IntegerType(), + "FLOAT": FloatType(), + "FLOAT4": FloatType(), + "FLOAT8": DoubleType(), + "DOUBLE": DoubleType(), + "DOUBLE PRECISION": DoubleType(), + "REAL": FloatType(), + "VARCHAR": StringType(), + "CHAR": StringType(), + "CHARACTER": StringType(), + "STRING": StringType(), + "TEXT": StringType(), + "BINARY": StringType(), + "VARBINARY": StringType(), + "DATE": DateType(), + "DATETIME": TimestampType(), + "TIME": TimeType(), + "TIMESTAMP": TimestampType(), + "TIMESTAMP_LTZ": TimestampType(), + "TIMESTAMP_NTZ": TimestampType(), + "TIMESTAMP_TZ": TimestampType(), + "BOOLEAN": BooleanType(), + "VARIANT": StringType(), # JSON-like type + "OBJECT": StringType(), # Object type + "ARRAY": StringType(), # Array type + "GEOGRAPHY": StringType(), + "GEOMETRY": StringType(), + } + + return type_mapping.get(base_type, StringType()) # type: ignore + + def test_connection(self) -> bool: + """ + Test the Snowflake connection. + + Returns: + True if connection is successful, False otherwise + """ + try: + conn = self._get_connection() + with conn.cursor() as cursor: + cursor.execute("SELECT 1") + cursor.fetchone() + conn.close() + return True + except Exception as e: # pragma: no cover + _logger.error(f"Snowflake connection test failed: {str(e)}") + return False diff --git a/datajunction-server/datajunction_server/service_clients.py b/datajunction-server/datajunction_server/service_clients.py new file mode 100644 index 000000000..6011fc22c --- /dev/null +++ b/datajunction-server/datajunction_server/service_clients.py @@ -0,0 +1,614 @@ +"""Clients for various configurable services.""" + +import logging +from http import HTTPStatus +from typing import TYPE_CHECKING, Dict, List, Optional, Union, Any +from urllib.parse import urljoin + +import requests +from requests.adapters import HTTPAdapter +from urllib3 import Retry + +from datajunction_server.database.column import Column +from datajunction_server.errors import ( + DJDoesNotExistException, + DJQueryServiceClientEntityNotFound, + DJQueryServiceClientException, +) +from datajunction_server.models.cube_materialization import ( + CubeMaterializationV2Input, + DruidCubeMaterializationInput, +) +from datajunction_server.models.materialization import ( + DruidMaterializationInput, + GenericMaterializationInput, + MaterializationInfo, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import PartitionBackfill +from datajunction_server.models.query import QueryCreate, QueryWithResults +from datajunction_server.sql.parsing.types import ColumnType + +if TYPE_CHECKING: + from datajunction_server.models.preaggregation import ( + BackfillInput, + CubeBackfillInput, + PreAggMaterializationInput, + ) + from datajunction_server.database.engine import Engine + +_logger = logging.getLogger(__name__) + + +class RequestsSessionWithEndpoint(requests.Session): + """ + Creates a requests session that comes with an endpoint that all + subsequent requests will use as a prefix. + """ + + def __init__(self, endpoint: str = None, retry_strategy: Retry = None): + super().__init__() + self.endpoint = endpoint + self.mount("http://", HTTPAdapter(max_retries=retry_strategy)) + self.mount("https://", HTTPAdapter(max_retries=retry_strategy)) + + def request(self, method, url, *args, **kwargs): + """ + Make the request with the full URL. + """ + url = self.construct_url(url) + return super().request(method, url, *args, **kwargs) + + def prepare_request(self, request, *args, **kwargs): + """ + Prepare the request with the full URL. + """ + request.url = self.construct_url(request.url) + return super().prepare_request( + request, + *args, + **kwargs, + ) + + def construct_url(self, url): + """ + Construct full URL based off the endpoint. + """ + return urljoin(self.endpoint, url) + + +class QueryServiceClient: + """ + Client for the query service. + """ + + def __init__(self, uri: str, retries: int = 0): + self.uri = uri + retry_strategy = Retry( + total=retries, + backoff_factor=1.5, + status_forcelist=[429, 500, 502, 503, 504], + allowed_methods=["GET", "POST", "PUT", "PATCH"], + ) + self.requests_session = RequestsSessionWithEndpoint( + endpoint=self.uri, + retry_strategy=retry_strategy, + ) + + def get_columns_for_table( + self, + catalog: str, + schema: str, + table: str, + request_headers: Optional[Dict[str, str]] = None, + engine: Optional["Engine"] = None, + ) -> List[Column]: + """ + Retrieves columns for a table. + """ + response = self.requests_session.get( + f"/table/{catalog}.{schema}.{table}/columns/", + params={ + "engine": engine.name, + "engine_version": engine.version, + } + if engine + else {}, + headers=self.requests_session.headers, + ) + if response.status_code not in (200, 201): + if response.status_code == HTTPStatus.NOT_FOUND: + raise DJDoesNotExistException( + message=f"Table not found: {response.text}", + ) + raise DJQueryServiceClientException( + message=f"Error response from query service: {response.text}", + ) + table_columns = response.json()["columns"] + if not table_columns: + raise DJDoesNotExistException( + message=f"No columns found: {response.text}", + ) + return [ + Column(name=column["name"], type=ColumnType(column["type"]), order=idx) + for idx, column in enumerate(table_columns) + ] + + def create_view( + self, + view_name: str, + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> str: + """ + Re-create a view using the query service. + """ + response = self.requests_session.post( + "/queries/", + headers=self.requests_session.headers, + json=query_create.model_dump(), + ) + if response.status_code not in (200, 201): + raise DJQueryServiceClientException( + message=f"Error response from query service: {response.text}", + http_status_code=response.status_code, + ) + return f"View '{view_name}' created successfully." + + def submit_query( + self, + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + """ + Submit a query to the query service + """ + response = self.requests_session.post( + "/queries/", + headers={ + **self.requests_session.headers, + "accept": "application/json", + }, + json=query_create.model_dump(), + ) + if response.status_code not in (200, 201): + raise DJQueryServiceClientException( + message=f"Error response from query service: {response.text}", + http_status_code=response.status_code, + ) + query_info = response.json() + return QueryWithResults(**query_info) + + def get_query( + self, + query_id: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + """ + Get a previously submitted query + """ + get_query_endpoint = f"/queries/{query_id}/" + response = self.requests_session.get( + get_query_endpoint, + headers=self.requests_session.headers, + ) + if response.status_code == 404: + _logger.exception( + "[DJQS] Failed to get query_id=%s with `GET %s`", + query_id, + get_query_endpoint, + exc_info=True, + ) + raise DJQueryServiceClientEntityNotFound( # pragma: no cover + message=f"Error response from query service: {response.text}", + ) + if response.status_code not in (200, 201): + raise DJQueryServiceClientException( + message=f"Error response from query service: {response.text}", + ) + query_info = response.json() + _logger.info( + "[DJQS] Retrieved query_id=%s with `GET %s`", + query_id, + get_query_endpoint, + ) + return QueryWithResults(**query_info) + + def materialize( + self, + materialization_input: Union[ + GenericMaterializationInput, + DruidMaterializationInput, + ], + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Post a request to the query service asking it to set up a scheduled materialization + for the node. The query service is expected to manage all reruns of this job. Note + that this functionality may be moved to the materialization service at a later point. + """ + response = self.requests_session.post( + "/materialization/", + json=materialization_input.model_dump(), + headers=self.requests_session.headers, + ) + if response.status_code not in (200, 201): # pragma: no cover + _logger.exception( + "[DJQS] Failed to materialize node=%s with `POST /materialization/`: %s", + materialization_input.node_name, + materialization_input.model_dump(), + exc_info=True, + ) + return MaterializationInfo(urls=[], output_tables=[]) + result = response.json() + _logger.info( + "[DJQS] Scheduled materialization for node=%s with `POST /materialization/`", + materialization_input.node_name, + ) + return MaterializationInfo(**result) + + def materialize_cube( + self, + materialization_input: DruidCubeMaterializationInput, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Post a request to the query service asking it to set up a scheduled materialization + for the node. The query service is expected to manage all reruns of this job. Note + that this functionality may be moved to the materialization service at a later point. + """ + response = self.requests_session.post( + "/cubes/materialize", + json=materialization_input.model_dump(), + headers=self.requests_session.headers, + timeout=20, + ) + if response.status_code not in (200, 201): # pragma: no cover + _logger.exception( + "[DJQS] Failed to schedule cube materialization for" + " node=%s with `POST /cubes/materialize`: %s", + materialization_input.cube, + response.text, + exc_info=True, + ) + return MaterializationInfo(urls=[], output_tables=[]) # pragma: no cover + result = response.json() # pragma: no cover + _logger.info( + "[DJQS] Scheduled cube materialization for node=%s with `POST /cubes/materialize`", + materialization_input.cube, + ) + return MaterializationInfo(**result) # pragma: no cover + + def materialize_cube_v2( + self, + materialization_input: CubeMaterializationV2Input, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Create a v2 cube materialization workflow (pre-agg based). + + This calls the query service's POST /cubes/materialize/v2 endpoint which creates + a workflow that: + 1. Waits for pre-agg tables to be available (via VTTS) + 2. Runs the combined SQL that joins/coalesces pre-agg data + 3. Ingests the combined result to Druid + + Unlike materialize_cube(), this does NOT create measures materialization + workflows inline - it expects pre-aggs to already exist. + """ + response = self.requests_session.post( + "/cubes/materialize/v2", + json=materialization_input.model_dump(), + headers=self.requests_session.headers, + timeout=30, + ) + if response.status_code not in (200, 201): + _logger.exception( + "[DJQS] Failed to schedule v2 cube materialization for" + " cube=%s with `POST /cubes/materialize/v2`: %s", + materialization_input.cube_name, + response.text, + exc_info=True, + ) + raise Exception(f"Query service error: {response.text}") + result = response.json() + _logger.info( + "[DJQS] Scheduled v2 cube materialization for cube=%s with " + "`POST /cubes/materialize/v2`, urls=%s", + materialization_input.cube_name, + result.get("urls"), + ) + return MaterializationInfo(**result) + + def materialize_preagg( + self, + materialization_input: "PreAggMaterializationInput", + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """ + Create a scheduled workflow for a pre-aggregation. + + This creates/updates the recurring workflow that materializes the pre-agg + on the configured schedule. The query service will: + 1. Create/update the scheduled workflow + 2. Execute on schedule (or immediately if triggered) + 3. Callback to DJ's POST /preaggs/{preagg_id}/availability/ when done + + Returns: + Dict with 'workflow_url', 'status', and optionally 'urls', 'output_tables' + """ + response = self.requests_session.post( + "/preaggs/materialize", + json=materialization_input.model_dump(mode="json"), + headers=self.requests_session.headers, + timeout=30, + ) + if response.status_code not in (200, 201): + _logger.exception( + "[DJQS] Failed to create workflow for preagg_id=%s: %s", + materialization_input.preagg_id, + response.text, + exc_info=True, + ) + raise Exception(f"Query service error: {response.text}") + result = response.json() + _logger.info( + "[DJQS] Created workflow for preagg_id=%s, output_table=%s, " + "workflow_url=%s, status=%s", + materialization_input.preagg_id, + materialization_input.output_table, + result.get("workflow_url"), + result.get("status"), + ) + return result + + def deactivate_preagg_workflow( + self, + output_table: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """ + Deactivate a pre-aggregation's workflows by output table name. + + Args: + output_table: The pre-aggregation's output table name (resource identifier). + Query Service owns the workflow naming pattern and reconstructs + workflow names from this identifier. + + Returns: + Dict with 'status' + """ + response = self.requests_session.delete( + f"/preaggs/{output_table}/workflow", + headers=self.requests_session.headers, + timeout=20, + ) + if response.status_code not in (200, 201, 204): + _logger.exception( + "[DJQS] Failed to deactivate preagg workflow for output_table=%s: %s", + output_table, + response.text, + exc_info=True, + ) + raise Exception(f"Query service error: {response.text}") + result = response.json() if response.text else {} + _logger.info( + "[DJQS] Deactivated preagg workflows for output_table=%s", + output_table, + ) + return result + + def deactivate_cube_workflow( + self, + cube_name: str, + version: Optional[str] = None, + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """ + Deactivate a cube's Druid materialization workflows by cube name and version. + + Args: + cube_name: Full cube name (e.g., 'default.my_cube'). + version: Optional cube version. If provided, deactivates version-specific + workflows. If not provided, falls back to legacy naming. + + Returns: + Dict with 'status' + """ + url = f"/cubes/{cube_name}/workflow" + if version: + url = f"{url}?version={version}" + + response = self.requests_session.delete( + url, + headers=self.requests_session.headers, + timeout=20, + ) + if response.status_code not in (200, 201, 204): + _logger.warning( + "[DJQS] Failed to deactivate cube workflow for cube=%s version=%s: %s", + cube_name, + version, + response.text, + ) + # Don't raise - the query service endpoint may not exist yet + return {"status": "failed", "message": response.text} + result = response.json() if response.text else {} + _logger.info( + "[DJQS] Deactivated cube workflows for cube=%s version=%s", + cube_name, + version, + ) + return result + + def run_preagg_backfill( + self, + backfill_input: "BackfillInput", + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """ + Run a backfill for a pre-aggregation. + + Returns: + Dict with 'job_url' + """ + response = self.requests_session.post( + "/preaggs/backfill", + json=backfill_input.model_dump(mode="json"), + headers=self.requests_session.headers, + timeout=30, + ) + if response.status_code not in (200, 201): + _logger.exception( + "[DJQS] Failed to run backfill for preagg_id=%s: %s", + backfill_input.preagg_id, + response.text, + exc_info=True, + ) + raise Exception(f"Query service error: {response.text}") + result = response.json() + _logger.info( + "[DJQS] Started backfill for preagg_id=%s, job_url=%s", + backfill_input.preagg_id, + result.get("job_url"), + ) + return result + + def run_cube_backfill( + self, + backfill_input: "CubeBackfillInput", + request_headers: Optional[Dict[str, str]] = None, + ) -> Dict[str, Any]: + """ + Run a backfill for a cube. + + Returns: + Dict with 'job_url' + """ + response = self.requests_session.post( + "/cubes/backfill", + json=backfill_input.model_dump(mode="json"), + headers=self.requests_session.headers, + timeout=30, + ) + if response.status_code not in (200, 201): + _logger.exception( + "[DJQS] Failed to run backfill for cube=%s: %s", + backfill_input.cube_name, + response.text, + exc_info=True, + ) + raise Exception(f"Query service error: {response.text}") + result = response.json() + _logger.info( + "[DJQS] Started backfill for cube=%s, job_url=%s", + backfill_input.cube_name, + result.get("job_url"), + ) + return result + + def deactivate_materialization( + self, + node_name: str, + materialization_name: str, + node_version: str | None = None, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Deactivates the specified node materialization + """ + deactivate_endpoint = f"/materialization/{node_name}/{materialization_name}/" + response = self.requests_session.delete( + deactivate_endpoint, + headers=self.requests_session.headers, + json={"node_version": node_version} if node_version else {}, + ) + if response.status_code not in (200, 201): # pragma: no cover + _logger.exception( + "[DJQS] Failed to deactivate materialization for node=%s, version=%s with `DELETE %s`", + node_name, + node_version, + deactivate_endpoint, + exc_info=True, + ) + return MaterializationInfo(urls=[], output_tables=[]) + result = response.json() + _logger.info( + "[DJQS] Deactivated materialization for node=%s, version=%s with `DELETE %s`", + node_name, + node_version, + deactivate_endpoint, + ) + return MaterializationInfo(**result) + + def get_materialization_info( + self, + node_name: str, + node_version: str, + node_type: NodeType, + materialization_name: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """ + Gets materialization info for the node and materialization config name. + """ + info_endpoint = ( + f"/materialization/{node_name}/{node_version}/{materialization_name}/" + f"?node_type={node_type}" + ) + response = self.requests_session.get( + info_endpoint, + timeout=3, + headers=self.requests_session.headers, + ) + if response.status_code not in (200, 201): + _logger.exception( + "[DJQS] Failed to get materialization info for node=%s with `GET %s`", + node_name, + info_endpoint, + exc_info=True, + ) + return MaterializationInfo(output_tables=[], urls=[]) + + _logger.info( + "[DJQS] Retrieved materialization info for node=%s with `GET %s`", + node_name, + info_endpoint, + ) + return MaterializationInfo(**response.json()) + + def run_backfill( + self, + node_name: str, + node_version: str, + node_type: NodeType, + materialization_name: str, + partitions: List[PartitionBackfill], + request_headers: Optional[Dict[str, str]] = None, + ) -> MaterializationInfo: + """Kicks off a backfill with the given backfill spec""" + backfill_endpoint = ( + f"/materialization/run/{node_name}/{materialization_name}" + f"/?node_version={node_version}&node_type={node_type}" + ) + response = self.requests_session.post( + backfill_endpoint, + json=[partition.model_dump() for partition in partitions], + headers=self.requests_session.headers, + timeout=20, + ) + if response.status_code not in (200, 201): + _logger.exception( # pragma: no cover + "[DJQS] Failed to run backfill for node=%s with `POST %s`", + node_name, + backfill_endpoint, + exc_info=True, + ) + return MaterializationInfo(output_tables=[], urls=[]) # pragma: no cover + + _logger.info( + "[DJQS] Ran backfill for node=%s with `POST %s`", + node_name, + backfill_endpoint, + ) + return MaterializationInfo(**response.json()) diff --git a/datajunction-server/datajunction_server/sql/__init__.py b/datajunction-server/datajunction_server/sql/__init__.py new file mode 100644 index 000000000..008fb504a --- /dev/null +++ b/datajunction-server/datajunction_server/sql/__init__.py @@ -0,0 +1,3 @@ +""" +Common dj sql imports +""" diff --git a/datajunction-server/datajunction_server/sql/dag.py b/datajunction-server/datajunction_server/sql/dag.py new file mode 100644 index 000000000..4b859d06d --- /dev/null +++ b/datajunction-server/datajunction_server/sql/dag.py @@ -0,0 +1,1704 @@ +""" +DAG related functions. +""" + +import asyncio +import itertools +import logging +from typing import Dict, List, Tuple, Union, cast + +from sqlalchemy import and_, func, join, literal, or_, select, distinct +from sqlalchemy.sql.base import ExecutableOption +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import aliased, joinedload, selectinload +from sqlalchemy.sql.operators import is_ +from sqlalchemy.dialects.postgresql import array + +from datajunction_server.database.attributetype import AttributeType, ColumnAttribute +from datajunction_server.database.column import Column +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.database.node import ( + CubeRelationship, + Node, + NodeRelationship, + NodeRevision, +) +from datajunction_server.errors import DJGraphCycleException +from datajunction_server.models.attribute import ColumnAttributes +from datajunction_server.models.node import DimensionAttributeOutput +from datajunction_server.models.node_type import NodeType, NodeNameVersion +from datajunction_server.utils import SEPARATOR, get_settings, refresh_if_needed + +logger = logging.getLogger(__name__) +settings = get_settings() + + +def _node_output_options(): + """ + Statement options to retrieve all NodeOutput objects in one query + """ + return [ + selectinload(Node.current).options( + selectinload(NodeRevision.columns).options( + selectinload(Column.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + selectinload(Column.dimension), + selectinload(Column.partition), + ), + selectinload(NodeRevision.catalog), + selectinload(NodeRevision.parents), + selectinload(NodeRevision.dimension_links).options( + selectinload(DimensionLink.dimension).options( + selectinload(Node.current), + ), + ), + ), + selectinload(Node.tags), + selectinload(Node.owners), + ] + + +async def get_downstream_nodes( + session: AsyncSession, + node_name: str, + node_type: NodeType = None, + include_deactivated: bool = True, + include_cubes: bool = True, + depth: int = -1, + options: list[ExecutableOption] = None, +) -> list[Node]: + """ + Gets all downstream children of the given node, filterable by node type. + Uses a recursive CTE query to build out all descendants from the node. + """ + # Use full options if none provided (for REST API DAGNodeOutput compatibility) + result_options = options if options is not None else _node_output_options() + + # Initial lookup always uses light options (only need node.id) + node = await Node.get_by_name( + session, + node_name, + options=[joinedload(Node.current)], + ) + if not node: + return [] + initial_dag = ( + select( + NodeRelationship.parent_id, + NodeRevision.node_id, + literal(0).label("depth"), + ) + .where(NodeRelationship.parent_id == node.id) + .join(NodeRevision, NodeRelationship.child_id == NodeRevision.id) + .join( + Node, + (Node.id == NodeRevision.node_id) + & (Node.current_version == NodeRevision.version), + ) + ) + if not include_cubes: + initial_dag = initial_dag.where((NodeRevision.type != NodeType.CUBE)) + if not include_deactivated: + initial_dag = initial_dag.where(Node.deactivated_at.is_(None)) + + initial_count = await session.scalar( + select(func.count()).select_from(initial_dag.subquery()), + ) + if initial_count >= settings.fanout_threshold: + logger.info( + "Initial fanout for node %s (%d) is greater than threshold %d. Switching to BFS...", + node_name, + initial_count, + settings.fanout_threshold, + ) + return await get_downstream_nodes_bfs( + session, + node, + depth, + include_deactivated, + include_cubes, + node_type, + ) + + dag = initial_dag.cte("downstreams", recursive=True).suffix_with( + "CYCLE node_id SET is_cycle USING path", + ) + + next_layer = ( + select( + dag.c.parent_id, + NodeRevision.node_id, + (dag.c.depth + literal(1)).label("depth"), + ) + .join(NodeRelationship, dag.c.node_id == NodeRelationship.parent_id) + .join(NodeRevision, NodeRelationship.child_id == NodeRevision.id) + .join(Node, Node.id == NodeRevision.node_id) + ) + if not include_cubes: + next_layer = next_layer.where(NodeRevision.type != NodeType.CUBE) + if not include_deactivated: + next_layer = next_layer.where(Node.deactivated_at.is_(None)) + + paths = dag.union_all(next_layer) + + # Calculate the maximum depth for each node + max_depths = ( + select( + paths.c.node_id, + func.max(paths.c.depth).label("max_depth"), + ) + .group_by(paths.c.node_id) + .cte("max_depths") + ) + + # Select nodes with the maximum depth + final_select = select(Node, max_depths.c.max_depth).join( + max_depths, + max_depths.c.node_id == Node.id, + ) + + if not include_deactivated: + final_select = final_select.where(is_(Node.deactivated_at, None)) + + # Add depth filter + if depth > -1: + final_select = final_select.where(max_depths.c.max_depth < depth) + + statement = final_select.order_by(max_depths.c.max_depth, Node.id).options( + *result_options, + ) + results = (await session.execute(statement)).unique().scalars().all() + return [ + downstream + for downstream in results + if downstream.type == node_type or node_type is None + ] + + +async def get_downstream_nodes_bfs( + session, + start_node: Node, + max_depth: int = -1, + include_deactivated: bool = True, + include_cubes: bool = True, + node_type: NodeType = None, +) -> list[Node]: + """ + Get all downstream nodes of a given node using BFS, which is more efficient for large graphs. + Each level is processed concurrently, with a limit on the number of concurrent tasks + configured by `max_concurrency`. + """ + visited = set() + results = [] + current_level: list[Tuple[int, int]] = [(start_node.id, 0)] + + while current_level: + depth = current_level[0][1] + logger.info("Processing downstreams for %s at depth %s", start_node.name, depth) + + current_ids = list(set([nid for nid, _ in current_level if nid not in visited])) + if not current_ids: + break # pragma: no cover + visited.update(current_ids) + + # Process nodes at this level concurrently + nodes_at_level = await _bfs_process_level_concurrently( + session, + current_ids, + include_deactivated, + include_cubes, + node_type, + ) + results.extend( + [ + node + for node in nodes_at_level + if node.id != start_node.id + and (node.type == node_type or node_type is None) + ], + ) + + if len(results) >= settings.node_list_max: + return results[: settings.node_list_max] + + # Stop BFS if max depth reached + if max_depth != -1 and current_level[0][1] >= max_depth: + break + + # Fetch children for next level + next_level = [] + for node in nodes_at_level: + children_rows = await session.execute( + select(distinct(Node.id)) + .select_from(NodeRelationship) + .join(NodeRevision, NodeRelationship.child_id == NodeRevision.id) + .join(Node, Node.id == NodeRevision.node_id) + .where(NodeRelationship.parent_id == node.id) + .where( + Node.deactivated_at.is_(None) if not include_deactivated else True, + ), + ) + children = [ + (c[0], depth + 1) + for c in children_rows.fetchall() + if c[0] not in visited + ] + if children: + logger.info( + "Processing downstreams for %s: extending from %s with %d children", + start_node.name, + node.name, + len(children), + ) + next_level.extend(children) + + current_level = next_level + + return results + + +async def _bfs_process_level_concurrently( + session: AsyncSession, + node_ids: list[int], + include_deactivated: bool = True, + include_cubes: bool = True, + node_type: NodeType = None, +): + """ + Process all nodes at a BFS level concurrently with a concurrency limit. + """ + effective_concurrency = min( + settings.max_concurrency, + max(1, settings.reader_db.pool_size // 2), + ) + semaphore = asyncio.Semaphore(effective_concurrency) + + async def _bfs_process_node( + session: AsyncSession, + node_id: int, + include_deactivated: bool = True, + include_cubes: bool = True, + node_type: NodeType = None, + ): + node = await Node.get_by_id( + session, + node_id, + options=_node_output_options(), + ) + if not node: + return None # pragma: no cover + if not include_deactivated and node.deactivated_at is not None: + return None # pragma: no cover + if not include_cubes and node.type == NodeType.CUBE: + return None + return node + + async def sem_task(node_id): + async with semaphore: + return await _bfs_process_node( + session, + node_id, + include_deactivated, + include_cubes, + node_type, + ) + + tasks = [sem_task(node_id) for node_id in node_ids] + processed = await asyncio.gather(*tasks) + return [node for node in processed if node is not None] + + +async def get_upstream_nodes( + session: AsyncSession, + node_name: Union[str, List[str]], + node_type: NodeType = None, + include_deactivated: bool = True, + options: List = None, +) -> List[Node]: + """ + Gets all upstreams of the given node(s), filterable by node type. + Uses a recursive CTE query to build out all parents of the nodes. + + For metrics, we first get immediate parent IDs and then run the recursive + CTE from those parents. This is more efficient because metrics only have + one parent, and it avoids unnecessary traversal of shared parents. + """ + # Normalize to list + node_names = [node_name] if isinstance(node_name, str) else node_name + + # Use full options if none provided (for REST API DAGNodeOutput compatibility) + result_options = options if options is not None else _node_output_options() + + # Initial lookup always uses light options (only need type and current.id) + nodes = await Node.get_by_names( + session, + node_names, + options=[joinedload(Node.current)], + ) + + if not nodes: + return [] # pragma: no cover + + # Collect starting revision IDs and immediate parent IDs for metrics + starting_revision_ids: List[int] = [] + immediate_parent_ids: List[int] = [] + metric_revision_ids: List[int] = [] + non_metric_revision_ids: List[int] = [] + + for node in nodes: + if node.type == NodeType.METRIC: + metric_revision_ids.append(node.current.id) + else: + non_metric_revision_ids.append(node.current.id) + + # For metrics, get immediate parent IDs in a single query + if metric_revision_ids: + parent_ids_query = select(NodeRelationship.parent_id).where( + NodeRelationship.child_id.in_(metric_revision_ids), + ) + immediate_parent_ids = list( + (await session.execute(parent_ids_query)).scalars().all(), + ) + + if immediate_parent_ids: + # Get the current revision IDs for those parent nodes + revision_ids_query = ( + select(NodeRevision.id) + .join(Node, Node.id == NodeRevision.node_id) + .where( + Node.id.in_(immediate_parent_ids), + Node.current_version == NodeRevision.version, + ) + ) + starting_revision_ids.extend( + (await session.execute(revision_ids_query)).scalars().all(), + ) + + # Add non-metric revision IDs directly + starting_revision_ids.extend(non_metric_revision_ids) + + if not starting_revision_ids: + # No parents to traverse + return [] + + dag = ( + ( + select( + NodeRelationship.child_id, + NodeRevision.id, + NodeRevision.node_id, + ) + .where(NodeRelationship.child_id.in_(starting_revision_ids)) + .join(Node, NodeRelationship.parent_id == Node.id) + .join( + NodeRevision, + (Node.id == NodeRevision.node_id) + & (Node.current_version == NodeRevision.version), + ) + ) + .cte("upstreams", recursive=True) + .suffix_with( + "CYCLE node_id SET is_cycle USING path", + ) + ) + + paths = dag.union_all( + select( + dag.c.child_id, + NodeRevision.id, + NodeRevision.node_id, + ) + .join(NodeRelationship, dag.c.id == NodeRelationship.child_id) + .join(Node, NodeRelationship.parent_id == Node.id) + .join( + NodeRevision, + (Node.id == NodeRevision.node_id) + & (Node.current_version == NodeRevision.version), + ), + ) + + node_selector = select(Node) + if not include_deactivated: + node_selector = node_selector.where(is_(Node.deactivated_at, None)) + statement = ( + node_selector.join(paths, paths.c.node_id == Node.id) + .join( + NodeRevision, + (Node.current_version == NodeRevision.version) + & (Node.id == NodeRevision.node_id), + ) + .options(*result_options) + ) + + results = list((await session.execute(statement)).unique().scalars().all()) + + # For metrics, include the immediate parents in the results + # (they are the starting point for the CTE, so not included by default) + if immediate_parent_ids: + # Load parents with same options for consistent output + parent_query = ( + select(Node) + .where(Node.id.in_(immediate_parent_ids)) + .options(*result_options) + ) + if not include_deactivated: + parent_query = parent_query.where(is_(Node.deactivated_at, None)) + loaded_parents = (await session.execute(parent_query)).unique().scalars().all() + + # Add parents that aren't already in results + existing_ids = {r.id for r in results} + for parent in loaded_parents: + if parent.id not in existing_ids: + results.append(parent) + + return [ + upstream + for upstream in results + if upstream.type == node_type or node_type is None + ] + + +async def build_reference_link( + session: AsyncSession, + col: Column, + path: list[str], + role: list[str] | None = None, +) -> DimensionAttributeOutput | None: + """ + Builds a reference link dimension attribute output for a column. + """ + if not (col.dimension_id and col.dimension_column): + return None # pragma: no cover + await session.refresh(col, ["dimension"]) + await session.refresh(col.dimension, ["current"]) + await session.refresh(col.dimension.current, ["columns"]) + + dim_cols = col.dimension.current.columns + if dim_col := next( + (dc for dc in dim_cols if dc.name == col.dimension_column), + None, + ): + return DimensionAttributeOutput( + name=f"{col.dimension.name}.{col.dimension_column}" + + (f"[{'->'.join(role)}]" if role else ""), + node_name=col.dimension.name, + node_display_name=col.dimension.current.display_name, + properties=dim_col.attribute_names(), + type=str(col.type), + path=path, + ) + return None # pragma: no cover + + +async def get_dimension_attributes( + session: AsyncSession, + node_name: str, + include_deactivated: bool = True, +): + """ + Get all dimension attributes for a given node. + """ + node = cast( + Node, + await Node.get_by_name( + session, + node_name, + options=[joinedload(Node.current)], + ), + ) + if node.type == NodeType.METRIC: + # For metrics, check if it's a base metric (parent is non-metric) or + # derived metric (parent is another metric) + await refresh_if_needed(session, node.current, ["parents"]) + + # Find metric parents (not dimension parents) + metric_parents = [p for p in node.current.parents if p.type == NodeType.METRIC] + non_metric_parents = [ + p + for p in node.current.parents + if p.type not in (NodeType.METRIC, NodeType.DIMENSION) + ] + + if metric_parents: + # Derived metric - use get_dimensions which handles intersection + dimensions = cast( + list[DimensionAttributeOutput], + await get_dimensions(session, node, with_attributes=True), + ) + # Prepend the metric's name to each dimension's path + for dim in dimensions: + dim.path = [node_name] + dim.path + return dimensions + elif non_metric_parents: + # Base metric - use the first non-metric parent (fact/transform) + await refresh_if_needed(session, non_metric_parents[0], ["current"]) + node = non_metric_parents[0] + else: + # No valid parents found + return [] # pragma: no cover + + # Discover all dimension nodes in the given node's dimensions graph + dimension_nodes_and_paths = await get_dimension_nodes( + session, + node, + include_deactivated, + ) + dimensions_map = {dim.id: dim for dim, _, _ in dimension_nodes_and_paths} + + # Add all reference links to the list of dimension attributes + reference_links = [] + await refresh_if_needed(session, node.current, ["columns"]) + for col in node.current.columns: + await refresh_if_needed(session, col, ["dimension_id", "dimension_column"]) + if col.dimension_id and col.dimension_column: + await session.refresh(col, ["dimension"]) + if ref_link := await build_reference_link( # pragma: no cover + session, + col, + path=[f"{node.name}.{col.name}"], + ): + reference_links.append(ref_link) + for dimension_node, path, role in dimension_nodes_and_paths: + await refresh_if_needed(session, dimension_node.current, ["columns"]) + for col in dimension_node.current.columns: + await refresh_if_needed(session, col, ["dimension_id", "dimension_column"]) + if col.dimension_id and col.dimension_column: + join_path = ( + [node.name] if dimension_node.name != node.name else [] + ) + [dimensions_map[int(node_id)].name for node_id in path] + if ref_link := await build_reference_link( # pragma: no cover + session, + col, + join_path, + role, + ): + reference_links.append(ref_link) + + # Build all dimension attributes from the dimension nodes in the graph + graph_dimensions = [ + DimensionAttributeOutput( + name=f"{dim.name}.{col.name}" + (f"[{'->'.join(role)}]" if role else ""), + node_name=dim.name, + node_display_name=dim.current.display_name, + properties=col.attribute_names(), + type=str(col.type), + path=[node_name] + [dimensions_map[int(node_id)].name for node_id in path], + ) + for dim, path, role in dimension_nodes_and_paths + for col in dim.current.columns + ] + + # Build all local dimension attributes from the original node + local_dimensions = [ + DimensionAttributeOutput( + name=f"{node.name}.{col.name}", + node_name=node.name, + node_display_name=node.current.display_name, + properties=col.attribute_names(), + type=str(col.type), + path=[], + ) + for col in node.current.columns + ] + local_dimensions = [ + dim + for dim in local_dimensions + if "primary_key" in (dim.properties or []) + or "dimension" in (dim.properties or []) + or node.type == NodeType.DIMENSION + ] + return reference_links + graph_dimensions + local_dimensions + + +async def get_dimension_nodes( + session: AsyncSession, + node: Node, + include_deactivated: bool = True, +) -> list[tuple[Node, list[str], list[str] | None]]: + """ + Discovers all dimension nodes in the given node's dimensions graph using a recursive + CTE query to build out the dimension links. + """ + dag = ( + ( + select( + DimensionLink.node_revision_id, + NodeRevision.id, + NodeRevision.node_id, + array([NodeRevision.node_id]).label("join_path"), # start path + array([DimensionLink.role]).label("role"), + ) + .where(DimensionLink.node_revision_id == node.current.id) + .join(Node, DimensionLink.dimension_id == Node.id) + .join( + NodeRevision, + (Node.id == NodeRevision.node_id) + & (Node.current_version == NodeRevision.version), + ) + ) + .cte("dimensions", recursive=True) + .suffix_with( + "CYCLE node_id SET is_cycle USING path", + ) + ) + + paths = dag.union_all( + select( + dag.c.node_revision_id, + NodeRevision.id, + NodeRevision.node_id, + func.array_cat(dag.c.join_path, array([NodeRevision.node_id])).label( + "join_path", + ), + func.array_cat(dag.c.role, array([DimensionLink.role])).label("role"), + ) + .join(DimensionLink, dag.c.id == DimensionLink.node_revision_id) + .join(Node, DimensionLink.dimension_id == Node.id) + .join( + NodeRevision, + (Node.id == NodeRevision.node_id) + & (Node.current_version == NodeRevision.version), + ), + ) + + node_selector = select(Node, paths.c.join_path, paths.c.role) + if not include_deactivated: + node_selector = node_selector.where( # pragma: no cover + is_(Node.deactivated_at, None), + ) + statement = ( + node_selector.join(paths, paths.c.node_id == Node.id) + .join( + NodeRevision, + (Node.current_version == NodeRevision.version) + & (Node.id == NodeRevision.node_id), + ) + .options(*_node_output_options()) + ) + return [ + (node, path, [r for r in role if r]) + for node, path, role in (await session.execute(statement)).all() + ] + + +async def get_dimensions_dag( + session: AsyncSession, + node_revision: NodeRevision, + with_attributes: bool = True, + depth: int = 30, +) -> List[Union[DimensionAttributeOutput, Node]]: + """ + Gets the dimensions graph of the given node revision with a single recursive CTE query. + This graph is split out into dimension attributes or dimension nodes depending on the + `with_attributes` flag. + """ + + initial_node = aliased(NodeRevision, name="initial_node") + dimension_node = aliased(Node, name="dimension_node") + dimension_rev = aliased(NodeRevision, name="dimension_rev") + current_node = aliased(Node, name="current_node") + current_rev = aliased(NodeRevision, name="current_rev") + next_node = aliased(Node, name="next_node") + next_rev = aliased(NodeRevision, name="next_rev") + column = aliased(Column, name="c") + + # Merge both branching points of the dimensions graph (the column -> dimension + # branch and the node -> dimension branch) into a single CTE. We do this merge because + # subqueries with UNION are not allowed in the recursive CTE. + graph_branches = ( + ( + select( + Column.node_revision_id, + Column.dimension_id, + Column.name, + Column.dimension_column, + ) + .select_from(Column) + .where(Column.dimension_id.isnot(None)) + ) + .union_all( + select( + DimensionLink.node_revision_id, + DimensionLink.dimension_id, + ( + literal("[") + + func.coalesce( + DimensionLink.role, + literal(""), + ) + + literal("]") + ).label("name"), + literal(None).label("dimension_column"), + ).select_from(DimensionLink), + ) + .cte("graph_branches") + ) + + # Recursive CTE + dimensions_graph = ( + select( + initial_node.id.label("path_start"), + graph_branches.c.name.label("col_name"), + graph_branches.c.dimension_column.label("dimension_column"), + dimension_node.id.label("path_end"), + ( + initial_node.name + + "." + + graph_branches.c.name + + "," + + dimension_node.name + ).label( + "join_path", + ), + dimension_node.name.label("node_name"), + dimension_rev.id.label("node_revision_id"), + dimension_rev.display_name.label("node_display_name"), + literal(0).label("depth"), + ) + .select_from(initial_node) + .join(graph_branches, node_revision.id == graph_branches.c.node_revision_id) + .join( + dimension_node, + (dimension_node.id == graph_branches.c.dimension_id) + & (is_(dimension_node.deactivated_at, None)), + ) + .join( + dimension_rev, + and_( + dimension_rev.version == dimension_node.current_version, + dimension_rev.node_id == dimension_node.id, + ), + ) + .where(initial_node.id == node_revision.id) + ).cte("dimensions_graph", recursive=True) + dimensions_graph = dimensions_graph.suffix_with( + "CYCLE node_revision_id SET is_cycle USING path", + ) + + paths = dimensions_graph.union_all( + select( + dimensions_graph.c.path_start, + graph_branches.c.name.label("col_name"), + graph_branches.c.dimension_column.label("dimension_column"), + next_node.id.label("path_end"), + ( + dimensions_graph.c.join_path + + "." + + graph_branches.c.name + + "," + + next_node.name + ).label( + "join_path", + ), + next_node.name.label("node_name"), + next_rev.id.label("node_revision_id"), + next_rev.display_name.label("node_display_name"), + (dimensions_graph.c.depth + literal(1)).label("depth"), + ) + .select_from( + dimensions_graph.join( + current_node, + (dimensions_graph.c.path_end == current_node.id), + ) + .join( + current_rev, + and_( + current_rev.version == current_node.current_version, + current_rev.node_id == current_node.id, + ), + ) + .join( + graph_branches, + (current_rev.id == graph_branches.c.node_revision_id) + & (is_(graph_branches.c.dimension_column, None)), + ) + .join( + next_node, + (next_node.id == graph_branches.c.dimension_id) + & (is_(graph_branches.c.dimension_column, None)) + & (is_(next_node.deactivated_at, None)), + ) + .join( + next_rev, + and_( + next_rev.version == next_node.current_version, + next_rev.node_id == next_node.id, + ), + ), + ) + .where(dimensions_graph.c.depth <= depth), + ) + + # Final SELECT statements + # ---- + # If attributes was set to False, we only need to return the dimension nodes + if not with_attributes: + result = await session.execute( + select(Node) + .select_from(paths) + .join(Node, paths.c.node_name == Node.name) + .options(*_node_output_options()), + ) + return result.unique().scalars().all() + + # Otherwise return the dimension attributes, which include both the dimension + # attributes on the dimension nodes in the DAG as well as the local dimension + # attributes on the initial node + group_concat = ( + func.group_concat + if session.bind.dialect.name in ("sqlite",) + else func.string_agg + ) + final_query = ( + select( + paths.c.node_name, + paths.c.node_display_name, + column.name, + column.type, + group_concat(AttributeType.name, ",").label( + "column_attribute_type_name", + ), + paths.c.join_path, + ) + .select_from(paths) + .join(column, column.node_revision_id == paths.c.node_revision_id) + .join(ColumnAttribute, column.id == ColumnAttribute.column_id, isouter=True) + .join( + AttributeType, + ColumnAttribute.attribute_type_id == AttributeType.id, + isouter=True, + ) + .group_by( + paths.c.node_name, + paths.c.node_display_name, + column.name, + column.type, + paths.c.join_path, + ) + .union_all( + select( + NodeRevision.name, + NodeRevision.display_name, + Column.name, + Column.type, + group_concat(AttributeType.name, ",").label( + "column_attribute_type_name", + ), + literal("").label("join_path"), + ) + .select_from(NodeRevision) + .join(Column, Column.node_revision_id == NodeRevision.id) + .join( + ColumnAttribute, + Column.id == ColumnAttribute.column_id, + isouter=True, + ) + .join( + AttributeType, + ColumnAttribute.attribute_type_id == AttributeType.id, + isouter=True, + ) + .group_by( + NodeRevision.name, + NodeRevision.display_name, + Column.name, + Column.type, + "join_path", + ) + .where(NodeRevision.id == node_revision.id), + ) + ) + + def _extract_roles_from_path(join_path) -> str: + """Extracts dimension roles from the query results' join path""" + roles = [ + path.replace("[", "").replace("]", "").split(".")[-1] + for path in join_path.split(",") + if "[" in path # this indicates that this a role + ] + non_empty_roles = [role for role in roles if role] + return f"[{'->'.join(non_empty_roles)}]" if non_empty_roles else "" + + # Only include a given column it's an attribute on a dimension node or + # if the column is tagged with the attribute type 'dimension' + dimension_attributes = (await session.execute(final_query)).all() + return sorted( + [ + DimensionAttributeOutput( + name=f"{node_name}.{column_name}{_extract_roles_from_path(join_path)}", + node_name=node_name, + node_display_name=node_display_name, + properties=attribute_types.split(",") if attribute_types else [], + type=str(column_type), + path=[ + (path.replace("[", "").replace("]", "")[:-1]) + if path.replace("[", "").replace("]", "").endswith(".") + else path.replace("[", "").replace("]", "") + for path in join_path.split(",")[:-1] + ] + if join_path + else [], + ) + for ( + node_name, + node_display_name, + column_name, + column_type, + attribute_types, + join_path, + ) in dimension_attributes + if ( # column has dimension attribute + join_path == "" + and attribute_types is not None + and ( + ColumnAttributes.DIMENSION.value in attribute_types + or ColumnAttributes.PRIMARY_KEY.value in attribute_types + ) + ) + or ( # column is on dimension node + join_path != "" + or ( + node_name == node_revision.name + and node_revision.type == NodeType.DIMENSION + ) + ) + ], + key=lambda x: (x.name, ",".join(x.path)), + ) + + +async def get_dimensions( + session: AsyncSession, + node: Node, + with_attributes: bool = True, + depth: int = 30, +) -> List[Union[DimensionAttributeOutput, Node]]: + """ + Return all available dimensions for a given node. + * Setting `attributes` to True will return a list of dimension attributes, + * Setting `attributes` to False will return a list of dimension nodes + + For metrics, returns the intersection of dimensions available from + all non-metric parents. + """ + if node.type != NodeType.METRIC: + await session.refresh(node, attribute_names=["current"]) + return await get_dimensions_dag( + session, + node.current, + with_attributes, + depth=depth, + ) + + # For metrics, get ultimate non-metric parents + # This handles both base metrics (returns immediate parents) and + # derived metrics (returns base metrics' parents) + ultimate_parents = await get_metric_parents(session, [node]) + + if not ultimate_parents: + return [] # pragma: no cover + + # Get dimensions for all ultimate parents + all_dimensions: List[List[DimensionAttributeOutput]] = [] + for parent in ultimate_parents: + await session.refresh(parent, attribute_names=["current"]) + parent_dims = await get_dimensions_dag( + session, + parent.current, + with_attributes, + depth=depth, + ) + all_dimensions.append(parent_dims) + + if not all_dimensions: + return [] # pragma: no cover + + if len(all_dimensions) == 1: + return all_dimensions[0] + + # Find intersection by dimension name + common_names = set(d.name for d in all_dimensions[0]) + for dims in all_dimensions[1:]: + common_names &= set(d.name for d in dims) + + # Return dimensions from first parent that are in the intersection + return sorted( + [d for d in all_dimensions[0] if d.name in common_names], + key=lambda x: (x.name, ",".join(x.path)), + ) + + +async def get_filter_only_dimensions( + session: AsyncSession, + node_name: str, +): + """ + Get dimensions for this node that can only be filtered by and cannot be grouped by + or retrieved as a part of the node's SELECT clause. + """ + filter_only_dimensions = [] + upstreams = await get_upstream_nodes(session, node_name, node_type=NodeType.SOURCE) + for upstream in upstreams: + await session.refresh(upstream.current, ["dimension_links"]) + for link in upstream.current.dimension_links: + await session.refresh(link.dimension, ["current"]) + await session.refresh(link.dimension.current, ["columns"]) + column_mapping = {col.name: col for col in link.dimension.current.columns} + filter_only_dimensions.extend( + [ + DimensionAttributeOutput( + name=dim, + node_name=link.dimension.name, + node_display_name=link.dimension.current.display_name, + type=str(column_mapping[dim.split(SEPARATOR)[-1]].type), + path=[upstream.name], + filter_only=True, + properties=column_mapping[ + dim.split(SEPARATOR)[-1] + ].attribute_names(), + ) + for dim in link.foreign_keys.values() + ], + ) + return filter_only_dimensions + + +async def group_dimensions_by_name( + session: AsyncSession, + node: Node, +) -> Dict[str, List[DimensionAttributeOutput]]: + """ + Group the dimensions for the node by the dimension attribute name + """ + return { + k: list(v) + for k, v in itertools.groupby( + await get_dimensions(session, node), + key=lambda dim: dim.name, + ) + } + + +async def get_shared_dimensions( + session: AsyncSession, + metric_nodes: List[Node], +) -> List[DimensionAttributeOutput]: + """ + Return a list of dimensions that are common between the metric nodes. + + For each individual metric: + - If it has multiple parents (e.g., derived metric referencing multiple base metrics), + returns the union of dimensions from all its parents. + + Across multiple metrics: + - Returns the intersection of dimensions available for each metric. + + This allows derived metrics to use dimensions from any of their base metrics, + while still ensuring compatibility when querying multiple metrics together. + """ + if not metric_nodes: + return [] + + # Get the per-metric parent mapping (batched for efficiency) + metric_to_parents = await get_metric_parents_map(session, metric_nodes) + + # Collect all unique parent nodes across all metrics + unique_parents: Dict[int, Node] = {} + for parents in metric_to_parents.values(): + for parent in parents: + if parent.id not in unique_parents: + unique_parents[parent.id] = parent + + # Compute dimensions once per unique parent + parent_dims_cache: Dict[int, Dict[str, List[DimensionAttributeOutput]]] = {} + for parent_id, parent in unique_parents.items(): + parent_dims = await group_dimensions_by_name(session, parent) + parent_dims_cache[parent_id] = parent_dims + + # Map cached results back to each metric + per_metric_dimensions: List[Dict[str, List[DimensionAttributeOutput]]] = [] + for metric_node in metric_nodes: + parents = metric_to_parents.get(metric_node.name, []) + if not parents: + continue # pragma: no cover + + # Compute union of dimensions from all parents (using cached results) + dims_by_name: Dict[str, List[DimensionAttributeOutput]] = {} + for parent in parents: + parent_dims = parent_dims_cache[parent.id] + for dim_name, dim_list in parent_dims.items(): + if dim_name not in dims_by_name: + dims_by_name[dim_name] = dim_list + # If already present, keep existing (they should be equivalent) + + per_metric_dimensions.append(dims_by_name) + + if not per_metric_dimensions: + return [] # pragma: no cover + + if len(per_metric_dimensions) == 1: + # Single metric - return all its dimensions + return sorted( + [dim for dims in per_metric_dimensions[0].values() for dim in dims], + key=lambda x: (x.name, x.path), + ) + + # Multiple metrics - find intersection across metrics + common_names = set(per_metric_dimensions[0].keys()) + for dims_by_name in per_metric_dimensions[1:]: + common_names &= set(dims_by_name.keys()) + + if not common_names: + return [] + + # Return dimensions from first metric that are in the intersection + return sorted( + [ + dim + for name, dims in per_metric_dimensions[0].items() + if name in common_names + for dim in dims + ], + key=lambda x: (x.name, x.path), + ) + + +async def get_metric_parents_map( + session: AsyncSession, + metric_nodes: list[Node], +) -> Dict[str, List[Node]]: + """ + Return a mapping from metric name to its non-metric parent nodes. + + For derived metrics (metrics that reference base metrics), returns the + non-metric parents of those base metrics. + + This batched version maintains the relationship between metrics and their + parents, which is needed to compute per-metric dimension unions. + + Supports nested derived metrics - will recursively resolve until reaching + non-metric parents (facts/transforms). + """ + if not metric_nodes: + return {} + + metric_names = {m.name for m in metric_nodes} + result: Dict[str, List[Node]] = {name: [] for name in metric_names} + + # Get all immediate parents for the input metrics WITH the child metric name + find_latest_node_revisions = [ + and_( + NodeRevision.name == metric_node.name, + NodeRevision.version == metric_node.current_version, + ) + for metric_node in metric_nodes + ] + statement = ( + select(NodeRevision.name.label("metric_name"), Node) + .where(or_(*find_latest_node_revisions)) + .select_from( + join( + join( + NodeRevision, + NodeRelationship, + NodeRevision.id == NodeRelationship.child_id, + ), + Node, + NodeRelationship.parent_id == Node.id, + ), + ) + ) + rows = (await session.execute(statement)).all() + + # Build mapping and track metric parents that need further resolution + # Maps: parent_metric_name -> [original_metric_names that need this parent resolved] + metric_parents_to_resolve: Dict[str, List[str]] = {} + + # Group parents by metric name first + parents_by_metric: Dict[str, List[Node]] = {} + for metric_name, parent_node in rows: + if metric_name not in parents_by_metric: + parents_by_metric[metric_name] = [] + parents_by_metric[metric_name].append(parent_node) + + # Process each metric's parents + for metric_name, parents in parents_by_metric.items(): + metric_parents = [p for p in parents if p.type == NodeType.METRIC] + dimension_parents = [p for p in parents if p.type == NodeType.DIMENSION] + other_parents = [ + p for p in parents if p.type not in (NodeType.METRIC, NodeType.DIMENSION) + ] + + # Add metric parents to resolve list + for parent_node in metric_parents: + if parent_node.name not in metric_parents_to_resolve: + metric_parents_to_resolve[parent_node.name] = [] + metric_parents_to_resolve[parent_node.name].append(metric_name) + + # Add fact/transform parents directly + for parent_node in other_parents: + result[metric_name].append(parent_node) + + # Only add dimension parents if there are no other parents + # (i.e., the metric is defined directly on a dimension node) + if not metric_parents and not other_parents: + for parent_node in dimension_parents: + result[metric_name].append(parent_node) + + # Recursively resolve metric parents until we reach non-metric nodes + visited_metrics: set[str] = set() + + while metric_parents_to_resolve: + base_metric_names = [ + name + for name in metric_parents_to_resolve.keys() + if name not in visited_metrics + ] + + if not base_metric_names: + break # pragma: no cover + + for name in base_metric_names: + visited_metrics.add(name) + + # Get the base metrics' current versions + base_metrics_stmt = ( + select(Node) + .where(Node.name.in_(base_metric_names)) + .where(is_(Node.deactivated_at, None)) + ) + base_metrics = list((await session.execute(base_metrics_stmt)).scalars().all()) + + if not base_metrics: + break # pragma: no cover + + find_base_metric_revisions = [ + and_( + NodeRevision.name == m.name, + NodeRevision.version == m.current_version, + ) + for m in base_metrics + ] + statement = ( + select(NodeRevision.name.label("base_metric_name"), Node) + .where(or_(*find_base_metric_revisions)) + .select_from( + join( + join( + NodeRevision, + NodeRelationship, + NodeRevision.id == NodeRelationship.child_id, + ), + Node, + NodeRelationship.parent_id == Node.id, + ), + ) + ) + base_rows = (await session.execute(statement)).all() + + # Group parents by base metric name first + base_parents_by_metric: Dict[str, List[Node]] = {} + for base_metric_name, parent_node in base_rows: + if base_metric_name not in base_parents_by_metric: + base_parents_by_metric[base_metric_name] = [] + base_parents_by_metric[base_metric_name].append(parent_node) + + # Process results and track new metric parents for next iteration + next_metric_parents_to_resolve: Dict[str, List[str]] = {} + + for base_metric_name, parents in base_parents_by_metric.items(): + original_metrics = metric_parents_to_resolve.get(base_metric_name, []) + + metric_parents = [p for p in parents if p.type == NodeType.METRIC] + dimension_parents = [p for p in parents if p.type == NodeType.DIMENSION] + other_parents = [ + p + for p in parents + if p.type not in (NodeType.METRIC, NodeType.DIMENSION) + ] + + # Add metric parents to next resolve list (multi-level derived metrics) + for parent_node in metric_parents: # pragma: no cover + if parent_node.name not in next_metric_parents_to_resolve: + next_metric_parents_to_resolve[parent_node.name] = [] + next_metric_parents_to_resolve[parent_node.name].extend( + original_metrics, + ) + + # Add fact/transform parents to results + for parent_node in other_parents: + for derived_metric_name in original_metrics: + result[derived_metric_name].append(parent_node) + + # Only add dimension parents if there are no other parents + # (i.e., the metric is defined directly on a dimension node) + if not metric_parents and not other_parents: # pragma: no cover + for parent_node in dimension_parents: + for derived_metric_name in original_metrics: + result[derived_metric_name].append(parent_node) + + metric_parents_to_resolve = next_metric_parents_to_resolve + + # Deduplicate parents for each metric + return {name: list(set(parents)) for name, parents in result.items()} + + +async def get_metric_parents( + session: AsyncSession, + metric_nodes: list[Node], +) -> list[Node]: + """ + Return a flat list of non-metric parent nodes of the metrics. + + For derived metrics (metrics that reference base metrics), returns the + non-metric parents of those base metrics. + + Note: Only 1 level of metric nesting is supported. Derived metrics can + reference base metrics, but not other derived metrics. + """ + metric_to_parents = await get_metric_parents_map(session, metric_nodes) + all_parents = [] + for parents in metric_to_parents.values(): + all_parents.extend(parents) + return list(set(all_parents)) + + +async def get_common_dimensions(session: AsyncSession, nodes: list[Node]): + """ + Return a list of dimensions that are common between the nodes. + """ + metric_nodes = [node for node in nodes if node.type == NodeType.METRIC] + other_nodes = [node for node in nodes if node.type != NodeType.METRIC] + if metric_nodes: # pragma: no branch + nodes = list(set(other_nodes + await get_metric_parents(session, metric_nodes))) + + common = await group_dimensions_by_name(session, nodes[0]) + for node in nodes[1:]: + node_dimensions = await group_dimensions_by_name(session, node) + + # Merge each set of dimensions based on the name and path + to_delete = set(common.keys() - node_dimensions.keys()) + common_dim_keys = common.keys() & list(node_dimensions.keys()) + if not common_dim_keys: + return [] + for dim_key in to_delete: # pragma: no cover + del common[dim_key] # pragma: no cover + return sorted( + [y for x in common.values() for y in x], + key=lambda x: (x.name, x.path), + ) + + +async def get_nodes_with_common_dimensions( + session: AsyncSession, + common_dimensions: list[Node], + node_types: list[NodeType] | None = None, +) -> list[NodeNameVersion]: + """ + Find all nodes that share a list of common dimensions. + + This traverses the dimension graph recursively to find: + 1. Nodes directly linked to any dimension in the graph that leads to the target dimensions + 2. Metrics that inherit those dimensions from their parent nodes + + For example, if dim A -> dim B -> dim C, searching for dim C will find nodes + linked to dim C, dim B, or dim A (since they all lead to dim C). + + Args: + common_dimensions: List of dimension nodes to find common nodes for + node_types: Optional list of node types to filter by + + Returns: + List of NodeNameVersion objects containing node name and version + """ + if not common_dimensions: + return [] + + dimension_ids = [d.id for d in common_dimensions] + num_dimensions = len(dimension_ids) + + # Build a CTE that merges column -> dimension and dimension link -> dimension relationships + # These are the "branches" of the dimensions graph + graph_branches = ( + select( + Column.node_revision_id.label("node_revision_id"), + Column.dimension_id.label("dimension_id"), + ) + .where(Column.dimension_id.isnot(None)) + .union_all( + select( + DimensionLink.node_revision_id.label("node_revision_id"), + DimensionLink.dimension_id.label("dimension_id"), + ), + ) + ).cte("graph_branches") + + # Recursive CTE: find all dimensions that lead to each target dimension + # Base case: the target dimensions themselves + dimension_graph = ( + select( + Node.id.label("target_dim_id"), # The original target dimension + Node.id.label("reachable_dim_id"), # Dimensions that can reach the target + ) + .where(Node.id.in_(dimension_ids)) + .where(Node.deactivated_at.is_(None)) + ).cte("dimension_graph", recursive=True) + + # Add cycle detection for PostgreSQL + dimension_graph = dimension_graph.suffix_with( + "CYCLE reachable_dim_id SET is_cycle USING path", + ) + + # Recursive case: find dimensions that link to dimensions already in our set + dimension_graph = dimension_graph.union_all( + select( + dimension_graph.c.target_dim_id, + Node.id.label("reachable_dim_id"), + ) + .select_from(graph_branches) + .join( + NodeRevision, + graph_branches.c.node_revision_id == NodeRevision.id, + ) + .join( + Node, + (NodeRevision.node_id == Node.id) + & (Node.current_version == NodeRevision.version), + ) + .join( + dimension_graph, + graph_branches.c.dimension_id == dimension_graph.c.reachable_dim_id, + ) + .where(Node.type == NodeType.DIMENSION) + .where(Node.deactivated_at.is_(None)), + ) + + # Find all node revisions that link to any dimension in the expanded graph + nodes_linked_to_expanded_dims = ( + select( + graph_branches.c.node_revision_id, + dimension_graph.c.target_dim_id, + ) + .select_from(graph_branches) + .join( + dimension_graph, + graph_branches.c.dimension_id == dimension_graph.c.reachable_dim_id, + ) + ).subquery() + + # Find node_revisions linked to all target dimensions + nodes_with_all_dims = ( + select(nodes_linked_to_expanded_dims.c.node_revision_id) + .group_by(nodes_linked_to_expanded_dims.c.node_revision_id) + .having( + func.count(func.distinct(nodes_linked_to_expanded_dims.c.target_dim_id)) + >= num_dimensions, + ) + ).subquery() + + # Find parent node IDs that have all dimensions + parents_with_all_dims = ( + select(Node.id.label("parent_node_id")) + .select_from(nodes_with_all_dims) + .join( + NodeRevision, + nodes_with_all_dims.c.node_revision_id == NodeRevision.id, + ) + .join( + Node, + (NodeRevision.node_id == Node.id) + & (Node.current_version == NodeRevision.version), + ) + .where(Node.deactivated_at.is_(None)) + ).subquery() + + # Find metrics whose parents have all dimensions + metrics_via_parents = ( + select(NodeRevision.id.label("node_revision_id")) + .select_from(NodeRelationship) + .join( + NodeRevision, + NodeRelationship.child_id == NodeRevision.id, + ) + .join( + Node, + (NodeRevision.node_id == Node.id) + & (Node.current_version == NodeRevision.version), + ) + .join( + parents_with_all_dims, + NodeRelationship.parent_id == parents_with_all_dims.c.parent_node_id, + ) + .where(NodeRevision.type == NodeType.METRIC) + .where(Node.deactivated_at.is_(None)) + ) + + # Combine: nodes directly linked + metrics via parents + all_matching_nodes = ( + select(nodes_with_all_dims.c.node_revision_id) + .union(metrics_via_parents) + .subquery() + ) + + # Final query to get only node name and version (lightweight) + statement = ( + select(Node.name, Node.current_version) + .select_from(all_matching_nodes) + .join( + NodeRevision, + all_matching_nodes.c.node_revision_id == NodeRevision.id, + ) + .join( + Node, + (NodeRevision.node_id == Node.id) + & (Node.current_version == NodeRevision.version), + ) + .where(Node.deactivated_at.is_(None)) + ) + + if node_types: + statement = statement.where(NodeRevision.type.in_(node_types)) + + results = await session.execute(statement) + return [NodeNameVersion(name=row[0], version=row[1]) for row in results.all()] + + +def topological_sort(nodes: List[Node]) -> List[Node]: + """ + Sort a list of nodes into topological order so that the nodes with the most dependencies + are later in the list, and the nodes with the fewest dependencies are earlier. + """ + all_nodes = {node.name: node for node in nodes} + + # Build adjacency list and calculate in-degrees + adjacency_list: Dict[str, List[Node]] = {} + in_degrees: Dict[str, int] = {} + for node in nodes: + adjacency_list[node.name] = [ + parent for parent in node.current.parents if parent.name in all_nodes + ] + in_degrees[node.name] = 0 + + # Build reverse mapping: parent -> children, and set in-degrees + children_to_parents = adjacency_list.copy() # Save for in-degree calc + adjacency_list = {} # Reset to build parent->children mapping + + for node in nodes: + adjacency_list[node.name] = [] + in_degrees[node.name] = len(children_to_parents[node.name]) + + # Populate parent->children mapping + for node_name, parents in children_to_parents.items(): + for parent in parents: + adjacency_list[parent.name].append(all_nodes[node_name]) + + # Initialize queue with nodes having in-degree 0 + queue: List[Node] = [ + all_nodes[name] for name, degree in in_degrees.items() if degree == 0 + ] + + # Perform topological sort using Kahn's algorithm + sorted_nodes: List[Node] = [] + while queue: + current_node = queue.pop(0) + sorted_nodes.append(current_node) + for child in adjacency_list.get(current_node.name, []): + in_degrees[child.name] -= 1 + if in_degrees[child.name] == 0: + queue.append(child) + + # Check for cycles + if len(sorted_nodes) != len(in_degrees): + raise DJGraphCycleException("Graph has at least one cycle") + + return sorted_nodes + + +async def get_dimension_dag_indegree(session, node_names: List[str]) -> Dict[str, int]: + """ + For a given node, calculate the indegrees for its dimensions graph by finding the number + of dimension links that reference this node. Non-dimension nodes will always have an + indegree of 0. + """ + nodes = await Node.get_by_names(session, node_names) + dimension_ids = [node.id for node in nodes] + statement = ( + select( + DimensionLink.dimension_id, + func.count(DimensionLink.id), + ) + .where(DimensionLink.dimension_id.in_(dimension_ids)) + .join(NodeRevision, DimensionLink.node_revision_id == NodeRevision.id) + .join( + Node, + and_( + Node.id == NodeRevision.node_id, + Node.current_version == NodeRevision.version, + ), + ) + .group_by(DimensionLink.dimension_id) + ) + result = await session.execute(statement) + link_counts = {link[0]: link[1] for link in result.unique().all()} + dimension_dag_indegree = {node.name: link_counts.get(node.id, 0) for node in nodes} + return dimension_dag_indegree + + +async def get_cubes_using_dimensions( + session: AsyncSession, + dimension_names: list[str], +) -> dict[str, int]: + """ + Find cube revisions that use all the specified dimension node + """ + cubes_subquery = ( + select(NodeRevision.id, Node.name) + .select_from(Node) + .join( + NodeRevision, + and_( + NodeRevision.node_id == Node.id, + Node.current_version == NodeRevision.version, + ), + ) + .where( + Node.type == NodeType.CUBE, + Node.deactivated_at.is_(None), + ) + .subquery() + ) + + dimensions_subquery = ( + select(NodeRevision.id, Node.name) + .select_from(Node) + .join( + NodeRevision, + and_( + NodeRevision.node_id == Node.id, + Node.current_version == NodeRevision.version, + ), + ) + .where( + Node.type == NodeType.DIMENSION, + Node.deactivated_at.is_(None), + ) + .subquery() + ) + + find_statement = ( + select( + dimensions_subquery.c.name, + func.count(func.distinct(CubeRelationship.cube_id)).label( + "cubes_using_dim", + ), + ) + .select_from(cubes_subquery) + .join(CubeRelationship, cubes_subquery.c.id == CubeRelationship.cube_id) + .join(Column, CubeRelationship.cube_element_id == Column.id) + .join(dimensions_subquery, Column.node_revision_id == dimensions_subquery.c.id) + .where(dimensions_subquery.c.name.in_(dimension_names)) + .group_by(dimensions_subquery.c.name) + ) + result = await session.execute(find_statement) + return {res[0]: res[1] for res in result.fetchall()} diff --git a/datajunction-server/datajunction_server/sql/decompose.py b/datajunction-server/datajunction_server/sql/decompose.py new file mode 100644 index 000000000..e749bac7c --- /dev/null +++ b/datajunction-server/datajunction_server/sql/decompose.py @@ -0,0 +1,1160 @@ +"""Used for extracting components from metric definitions.""" + +import hashlib +from abc import ABC, abstractmethod +from copy import deepcopy +from dataclasses import dataclass + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import aliased + +from datajunction_server.database.node import Node, NodeRevision, NodeRelationship +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.decompose import ( + Aggregability, + AggregationRule, + MetricComponent, +) +from datajunction_server.naming import amenable_name +from datajunction_server.sql import functions as dj_functions +from datajunction_server.sql.parsing.backends.antlr4 import ast, parse + + +# ============================================================================= +# AST Builder Helpers +# ============================================================================= + + +def make_func(name: str, *args: ast.Expression | str) -> ast.Function: + """Build a Function AST node.""" + return ast.Function( + ast.Name(name), + args=[ast.Column(ast.Name(a)) if isinstance(a, str) else a for a in args], + ) + + +# ============================================================================= +# Decomposition Framework +# ============================================================================= + + +@dataclass +class ComponentDef: + """ + Defines one component of an aggregation decomposition. + + Attributes: + suffix: Name suffix for the component (e.g., "_sum", "_count", "_hll") + accumulate: Phase 1 - how to build from raw data. Can be: + - Simple function name: "SUM" -> SUM(expr) + - Template with {}: "SUM(POWER({}, 2))" -> SUM(POWER(expr, 2)) + - Template with {0}, {1}: "SUM({0} * {1})" for multi-arg functions + merge: Phase 2 function - combine pre-aggregated values (e.g., "SUM", "hll_union") + arg_index: Which function argument to use (default 0). Use None for multi-arg templates. + """ + + suffix: str + accumulate: str + merge: str + arg_index: int | None = 0 # Which arg to use, or None for multi-arg templates + + +class AggDecomposition(ABC): + """ + Abstract base class for aggregation decompositions. + + Defines the three phases of metric decomposition: + 1. Accumulate: How to build components from raw data (via `components`) + 2. Merge: How to combine pre-aggregated components (via `components`) + 3. Combiner: How to produce the final metric value from merged components + + Subclasses must define `components` and implement `combine()`. + """ + + @property + @abstractmethod + def components(self) -> list[ComponentDef]: + """Define the components needed for this aggregation.""" + + @abstractmethod + def combine(self, components: list[MetricComponent]) -> ast.Expression: + """Build the combiner expression from merged metric components.""" + + +# ============================================================================= +# Decomposition Registry +# ============================================================================= + +DECOMPOSITION_REGISTRY: dict[type, type[AggDecomposition] | None] = {} + + +def decomposes(func_class: type): + """Decorator to register a decomposition class for a function.""" + + def decorator(decomp_class: type[AggDecomposition]): + DECOMPOSITION_REGISTRY[func_class] = decomp_class + return decomp_class + + return decorator + + +def not_decomposable(func_class: type): + """Mark a function as not decomposable (requires full dataset).""" + DECOMPOSITION_REGISTRY[func_class] = None + + +# ============================================================================= +# Simple Decompositions (accumulate == merge) +# ============================================================================= + + +@decomposes(dj_functions.Sum) +class SumDecomposition(AggDecomposition): + """SUM: simple additive aggregation.""" + + @property + def components(self) -> list[ComponentDef]: + return [ComponentDef("_sum", "SUM", "SUM")] + + def combine(self, components: list[MetricComponent]): + return make_func("SUM", components[0].name) + + +@decomposes(dj_functions.Max) +class MaxDecomposition(AggDecomposition): + """MAX: maximum value is associative.""" + + @property + def components(self) -> list[ComponentDef]: + return [ComponentDef("_max", "MAX", "MAX")] + + def combine(self, components: list[MetricComponent]): + return make_func("MAX", components[0].name) + + +@decomposes(dj_functions.Min) +class MinDecomposition(AggDecomposition): + """MIN: minimum value is associative.""" + + @property + def components(self) -> list[ComponentDef]: + return [ComponentDef("_min", "MIN", "MIN")] + + def combine(self, components: list[MetricComponent]): + return make_func("MIN", components[0].name) + + +@decomposes(dj_functions.AnyValue) +class AnyValueDecomposition(AggDecomposition): + """ANY_VALUE: any value from the group.""" + + @property + def components(self) -> list[ComponentDef]: + return [ComponentDef("_any_value", "ANY_VALUE", "ANY_VALUE")] + + def combine(self, components: list[MetricComponent]): + return make_func("ANY_VALUE", components[0].name) + + +# ============================================================================= +# Count Decompositions (accumulate=COUNT, merge=SUM) +# ============================================================================= + + +@decomposes(dj_functions.Count) +class CountDecomposition(AggDecomposition): + """COUNT: count rows, merge by summing counts.""" + + @property + def components(self) -> list[ComponentDef]: + return [ComponentDef("_count", "COUNT", "SUM")] + + def combine(self, components: list[MetricComponent]): + return make_func("SUM", components[0].name) + + +@decomposes(dj_functions.CountIf) +class CountIfDecomposition(AggDecomposition): + """COUNT_IF: conditional count, merge by summing counts.""" + + @property + def components(self) -> list[ComponentDef]: + return [ComponentDef("_count_if", "COUNT_IF", "SUM")] + + def combine(self, components: list[MetricComponent]): + return make_func("SUM", components[0].name) + + +# ============================================================================= +# AVG Decomposition (needs sum and count) +# ============================================================================= + + +@decomposes(dj_functions.Avg) +class AvgDecomposition(AggDecomposition): + """AVG = SUM / COUNT, requires two components.""" + + @property + def components(self) -> list[ComponentDef]: + return [ + ComponentDef("_sum", "SUM", "SUM"), + ComponentDef("_count", "COUNT", "SUM"), + ] + + def combine(self, components: list[MetricComponent]): + return ast.BinaryOp( + op=ast.BinaryOpKind.Divide, + left=make_func("SUM", components[0].name), + right=make_func("SUM", components[1].name), + ) + + +# ============================================================================= +# HLL Sketch Decomposition (approximate distinct count) +# ============================================================================= + + +@decomposes(dj_functions.ApproxCountDistinct) +class ApproxCountDistinctDecomposition(AggDecomposition): + """ + APPROX_COUNT_DISTINCT using HyperLogLog sketches. + + Uses Spark function names (hll_sketch_agg, hll_union, hll_sketch_estimate). + Translation to other dialects happens in the transpilation layer. + """ + + @property + def components(self) -> list[ComponentDef]: + return [ + ComponentDef( + suffix="_hll", + accumulate="hll_sketch_agg", + merge="hll_union_agg", + ), + ] + + def combine(self, components: list[MetricComponent]): + return make_func( + "hll_sketch_estimate", + make_func("hll_union_agg", components[0].name), + ) + + +# ============================================================================= +# Variance Decompositions +# ============================================================================= + + +class VarianceDecompositionBase(AggDecomposition): + """ + Base class for variance decompositions. + + Variance can be computed from three components: + - sum(x): sum of values + - sum(x²): sum of squared values + - count: number of values + + VAR_POP = E[X²] - E[X]² = sum(x²)/n - (sum(x)/n)² + VAR_SAMP uses Bessel's correction: n/(n-1) * VAR_POP + """ + + @property + def components(self) -> list[ComponentDef]: + return [ + ComponentDef("_sum", "SUM", "SUM"), + ComponentDef("_sum_sq", "SUM(POWER({}, 2))", "SUM"), # sum of x² + ComponentDef("_count", "COUNT", "SUM"), + ] + + def _make_var_pop(self, components: list[MetricComponent]) -> ast.Expression: + """Build VAR_POP: E[X²] - E[X]²""" + sum_col = components[0].name + sum_sq_col = components[1].name + count_col = components[2].name + + # E[X²] = SUM(sum_sq) / SUM(count) + mean_of_squares = ast.BinaryOp( + op=ast.BinaryOpKind.Divide, + left=make_func("SUM", sum_sq_col), + right=make_func("SUM", count_col), + ) + + # E[X]² = (SUM(sum) / SUM(count))² + square_of_mean = make_func( + "POWER", + ast.BinaryOp( + op=ast.BinaryOpKind.Divide, + left=make_func("SUM", sum_col), + right=make_func("SUM", count_col), + ), + ast.Number(2), + ) + + return ast.BinaryOp( + op=ast.BinaryOpKind.Minus, + left=mean_of_squares, + right=square_of_mean, + ) + + def _make_var_samp(self, components: list[MetricComponent]) -> ast.Expression: + """ + Build VAR_SAMP with Bessel's correction. + + = (n * SUM(x²) - SUM(x)²) / (n * (n-1)) + where n = SUM(count) + """ + sum_col = components[0].name + sum_sq_col = components[1].name + count_col = components[2].name + + n = make_func("SUM", count_col) + sum_x = make_func("SUM", sum_col) + sum_x_sq = make_func("SUM", sum_sq_col) + + # Numerator: n * sum_x_sq - sum_x² + numerator = ast.BinaryOp( + op=ast.BinaryOpKind.Minus, + left=ast.BinaryOp(op=ast.BinaryOpKind.Multiply, left=n, right=sum_x_sq), + right=make_func("POWER", sum_x, ast.Number(2)), + ) + + # Denominator: n * (n - 1) + denominator = ast.BinaryOp( + op=ast.BinaryOpKind.Multiply, + left=n, + right=ast.BinaryOp(op=ast.BinaryOpKind.Minus, left=n, right=ast.Number(1)), + ) + + return ast.BinaryOp( + op=ast.BinaryOpKind.Divide, + left=numerator, + right=denominator, + ) + + +@decomposes(dj_functions.VarPop) +class VarPopDecomposition(VarianceDecompositionBase): + """Population variance: E[X²] - E[X]²""" + + def combine(self, components: list[MetricComponent]): + return self._make_var_pop(components) + + +@decomposes(dj_functions.VarSamp) +class VarSampDecomposition(VarianceDecompositionBase): + """Sample variance with Bessel's correction.""" + + def combine(self, components: list[MetricComponent]): + return self._make_var_samp(components) + + +@decomposes(dj_functions.Variance) +class VarianceDecomposition(VarianceDecompositionBase): + """VARIANCE (alias for VAR_SAMP in Spark).""" + + def combine(self, components: list[MetricComponent]): + return self._make_var_samp(components) # pragma: no cover + + +# ============================================================================= +# Standard Deviation Decompositions (square root of variance) +# ============================================================================= + + +@decomposes(dj_functions.StddevPop) +class StddevPopDecomposition(VarianceDecompositionBase): + """Population standard deviation: sqrt(VAR_POP)""" + + def combine(self, components: list[MetricComponent]): + return make_func("SQRT", self._make_var_pop(components)) + + +@decomposes(dj_functions.StddevSamp) +class StddevSampDecomposition(VarianceDecompositionBase): + """Sample standard deviation: sqrt(VAR_SAMP)""" + + def combine(self, components: list[MetricComponent]): + return make_func("SQRT", self._make_var_samp(components)) + + +@decomposes(dj_functions.Stddev) +class StddevDecomposition(VarianceDecompositionBase): + """STDDEV (alias for STDDEV_SAMP in Spark).""" + + def combine(self, components: list[MetricComponent]): + return make_func("SQRT", self._make_var_samp(components)) # pragma: no cover + + +# ============================================================================= +# Covariance Decompositions (two-argument functions) +# ============================================================================= + + +class CovarianceDecompositionBase(AggDecomposition): + """ + Base class for covariance decompositions. + + Covariance between X and Y can be computed from four components: + - sum(x): sum of first variable + - sum(y): sum of second variable + - sum(x*y): sum of products + - count: number of pairs + + COVAR_POP = E[XY] - E[X]*E[Y] = sum(xy)/n - (sum(x)/n)*(sum(y)/n) + COVAR_SAMP uses Bessel's correction + """ + + @property + def components(self) -> list[ComponentDef]: + return [ + ComponentDef("_sum_x", "SUM({0})", "SUM", arg_index=0), + ComponentDef("_sum_y", "SUM({1})", "SUM", arg_index=1), + ComponentDef("_sum_xy", "SUM({0} * {1})", "SUM", arg_index=None), + ComponentDef("_count", "COUNT({0})", "SUM", arg_index=0), + ] + + def _make_covar_pop(self, components: list[MetricComponent]) -> ast.Expression: + """Build COVAR_POP: E[XY] - E[X]*E[Y]""" + sum_x_col = components[0].name + sum_y_col = components[1].name + sum_xy_col = components[2].name + count_col = components[3].name + + n = make_func("SUM", count_col) + sum_x = make_func("SUM", sum_x_col) + sum_y = make_func("SUM", sum_y_col) + sum_xy = make_func("SUM", sum_xy_col) + + # E[XY] = sum(xy) / n + mean_of_products = ast.BinaryOp( + op=ast.BinaryOpKind.Divide, + left=sum_xy, + right=n, + ) + + # E[X] * E[Y] = (sum(x)/n) * (sum(y)/n) + product_of_means = ast.BinaryOp( + op=ast.BinaryOpKind.Multiply, + left=ast.BinaryOp(op=ast.BinaryOpKind.Divide, left=sum_x, right=n), + right=ast.BinaryOp(op=ast.BinaryOpKind.Divide, left=sum_y, right=n), + ) + + return ast.BinaryOp( + op=ast.BinaryOpKind.Minus, + left=mean_of_products, + right=product_of_means, + ) + + def _make_covar_samp(self, components: list[MetricComponent]) -> ast.Expression: + """ + Build COVAR_SAMP with Bessel's correction. + + = (n * sum(xy) - sum(x) * sum(y)) / (n * (n-1)) + """ + sum_x_col = components[0].name + sum_y_col = components[1].name + sum_xy_col = components[2].name + count_col = components[3].name + + n = make_func("SUM", count_col) + sum_x = make_func("SUM", sum_x_col) + sum_y = make_func("SUM", sum_y_col) + sum_xy = make_func("SUM", sum_xy_col) + + # Numerator: n * sum(xy) - sum(x) * sum(y) + numerator = ast.BinaryOp( + op=ast.BinaryOpKind.Minus, + left=ast.BinaryOp(op=ast.BinaryOpKind.Multiply, left=n, right=sum_xy), + right=ast.BinaryOp(op=ast.BinaryOpKind.Multiply, left=sum_x, right=sum_y), + ) + + # Denominator: n * (n - 1) + denominator = ast.BinaryOp( + op=ast.BinaryOpKind.Multiply, + left=n, + right=ast.BinaryOp(op=ast.BinaryOpKind.Minus, left=n, right=ast.Number(1)), + ) + + return ast.BinaryOp( + op=ast.BinaryOpKind.Divide, + left=numerator, + right=denominator, + ) + + +@decomposes(dj_functions.CovarPop) +class CovarPopDecomposition(CovarianceDecompositionBase): + """Population covariance: E[XY] - E[X]*E[Y]""" + + def combine(self, components: list[MetricComponent]): + return self._make_covar_pop(components) + + +@decomposes(dj_functions.CovarSamp) +class CovarSampDecomposition(CovarianceDecompositionBase): + """Sample covariance with Bessel's correction.""" + + def combine(self, components: list[MetricComponent]): + return self._make_covar_samp(components) + + +# ============================================================================= +# Correlation Decomposition (CORR = COVAR / (STDDEV_X * STDDEV_Y)) +# ============================================================================= + + +@decomposes(dj_functions.Corr) +class CorrDecomposition(AggDecomposition): + """ + Pearson correlation coefficient. + + CORR(X,Y) = COVAR(X,Y) / (STDDEV(X) * STDDEV(Y)) + + Requires 6 components: + - sum(x), sum(y): for means + - sum(x²), sum(y²): for variances + - sum(xy): for covariance + - count: for all calculations + """ + + @property + def components(self) -> list[ComponentDef]: + return [ + ComponentDef("_sum_x", "SUM({0})", "SUM", arg_index=0), + ComponentDef("_sum_y", "SUM({1})", "SUM", arg_index=1), + ComponentDef("_sum_x_sq", "SUM(POWER({0}, 2))", "SUM", arg_index=0), + ComponentDef("_sum_y_sq", "SUM(POWER({1}, 2))", "SUM", arg_index=1), + ComponentDef("_sum_xy", "SUM({0} * {1})", "SUM", arg_index=None), + ComponentDef("_count", "COUNT({0})", "SUM", arg_index=0), + ] + + def combine(self, components: list[MetricComponent]) -> ast.Expression: + """ + Build CORR: COVAR(X,Y) / (STDDEV(X) * STDDEV(Y)) + + Using population formulas: + COVAR_POP = E[XY] - E[X]*E[Y] + VAR_POP = E[X²] - E[X]² + """ + sum_x_col = components[0].name + sum_y_col = components[1].name + sum_x_sq_col = components[2].name + sum_y_sq_col = components[3].name + sum_xy_col = components[4].name + count_col = components[5].name + + n = make_func("SUM", count_col) + sum_x = make_func("SUM", sum_x_col) + sum_y = make_func("SUM", sum_y_col) + sum_x_sq = make_func("SUM", sum_x_sq_col) + sum_y_sq = make_func("SUM", sum_y_sq_col) + sum_xy = make_func("SUM", sum_xy_col) + + # Covariance numerator: n * sum(xy) - sum(x) * sum(y) + covar_num = ast.BinaryOp( + op=ast.BinaryOpKind.Minus, + left=ast.BinaryOp(op=ast.BinaryOpKind.Multiply, left=n, right=sum_xy), + right=ast.BinaryOp(op=ast.BinaryOpKind.Multiply, left=sum_x, right=sum_y), + ) + + # Variance X: n * sum(x²) - sum(x)² + var_x = ast.BinaryOp( + op=ast.BinaryOpKind.Minus, + left=ast.BinaryOp(op=ast.BinaryOpKind.Multiply, left=n, right=sum_x_sq), + right=make_func("POWER", sum_x, ast.Number(2)), + ) + + # Variance Y: n * sum(y²) - sum(y)² + var_y = ast.BinaryOp( + op=ast.BinaryOpKind.Minus, + left=ast.BinaryOp(op=ast.BinaryOpKind.Multiply, left=n, right=sum_y_sq), + right=make_func("POWER", sum_y, ast.Number(2)), + ) + + # Denominator: sqrt(var_x * var_y) + denominator = make_func( + "SQRT", + ast.BinaryOp(op=ast.BinaryOpKind.Multiply, left=var_x, right=var_y), + ) + + return ast.BinaryOp( + op=ast.BinaryOpKind.Divide, + left=covar_num, + right=denominator, + ) + + +# ============================================================================= +# Non-Decomposable Aggregations +# ============================================================================= + +# These require access to the full dataset and cannot be pre-aggregated +not_decomposable(dj_functions.MaxBy) +not_decomposable(dj_functions.MinBy) + + +# ============================================================================= +# Decomposition Lookup +# ============================================================================= + + +def get_decomposition(func_class: type) -> AggDecomposition | None: + """Get decomposition instance for a function class, or None if not decomposable.""" + decomp_class = DECOMPOSITION_REGISTRY.get(func_class) + if decomp_class is None: + return None + return decomp_class() + + +# ============================================================================= +# Decomposition Result +# ============================================================================= + + +@dataclass +class DecompositionResult: + """Result of decomposing an aggregation function.""" + + components: list[MetricComponent] + combiner: ast.Node + + +@dataclass +class BaseMetricData: + """Data for a single base metric.""" + + name: str + query: str + + +@dataclass +class MetricData: + """All data needed to extract components from a metric.""" + + query: str + is_derived: bool + base_metrics: list[BaseMetricData] + + +# ============================================================================= +# Metric Component Extractor +# ============================================================================= + + +class MetricComponentExtractor: + """ + Extracts metric components from a metric definition and generates SQL derived + from those components. + + For base metrics: decomposes aggregation functions (SUM, AVG, etc.) into components. + For derived metrics: collects components from base metrics and substitutes references. + """ + + def __init__(self, node_revision_id: int): + """ + Extract metric components from a specific metric revision. + + Args: + node_revision_id: ID of the metric node revision + """ + self._node_revision_id = node_revision_id + + @classmethod + async def from_node_name( # pragma: no cover + cls, + node_name: str, + session: AsyncSession, + ) -> "MetricComponentExtractor": + """ + Create extractor for the latest version of a metric. + + Args: + node_name: Name of the metric node + session: Database session + + Returns: + MetricComponentExtractor for the current revision + """ + stmt = ( + select(NodeRevision.id) + .join(Node, Node.id == NodeRevision.node_id) + .where( + Node.name == node_name, + Node.current_version == NodeRevision.version, + ) + ) + result = await session.execute(stmt) + revision_id = result.scalar_one() + return cls(revision_id) + + async def extract( + self, + session: AsyncSession, + *, + nodes_cache: dict[str, "Node"] | None = None, + parent_map: dict[str, list[str]] | None = None, + metric_node: "Node | None" = None, + parsed_query_cache: dict[str, ast.Query] | None = None, + _visited: set[str] | None = None, + ) -> tuple[list[MetricComponent], ast.Query]: + """ + Extract metric components from the query. + + For base metrics: decomposes aggregation functions into components. + For derived metrics: collects components from base metrics and substitutes references. + Supports nested derived metrics via recursive inline expansion. + + Args: + session: Database session for loading metric data + nodes_cache: Optional dict of node_name -> Node with current revision loaded. + If provided along with parent_map and metric_node, avoids DB queries. + parent_map: Optional dict of child_name -> list of parent_names. + Required if nodes_cache is provided. + metric_node: Optional metric Node object. + Required if nodes_cache is provided. + parsed_query_cache: Optional dict of query_string -> parsed AST. + Used to avoid re-parsing the same query multiple times. + """ + # Use cache if available, otherwise query DB + if ( + nodes_cache is not None + and parent_map is not None + and metric_node is not None + ): + metric_data = self._build_metric_data_from_cache( + metric_node, + nodes_cache, + parent_map, + ) + else: + metric_data = await self._load_metric_data(session) + + # Helper to parse with cache + def cached_parse(query: str) -> ast.Query: + if parsed_query_cache is not None: + if query not in parsed_query_cache: # pragma: no cover + parsed_query_cache[query] = parse(query) + + # Return a deep copy to avoid AST mutation issues + return deepcopy(parsed_query_cache[query]) # pragma: no cover + return parse(query) + + # Parse queries (pure computation, no DB) + query_ast = cached_parse(metric_data.query) + + # Initialize visited set for cycle detection + if _visited is None: + _visited = set() + + # Add current metric to visited (use metric_node name if available) + current_metric_name = metric_node.name if metric_node else None + if current_metric_name: + if current_metric_name in _visited: + raise ValueError( + f"Circular metric reference detected: {current_metric_name}", + ) + _visited.add(current_metric_name) + + # Extract components from each parent metric + all_components = [] + components_tracker = set() + base_metrics_data = {} + + for base_metric in metric_data.base_metrics: + # Check if this parent metric is itself a derived metric + is_parent_derived = False + parent_node = None + parent_revision_id = None + + if nodes_cache and parent_map: + # Cache path: check parent_map for metric parents + parent_metric_parents = [ + name + for name in parent_map.get(base_metric.name, []) + if name in nodes_cache and nodes_cache[name].type == NodeType.METRIC + ] + is_parent_derived = len(parent_metric_parents) > 0 + if is_parent_derived: + parent_node = nodes_cache[base_metric.name] + parent_revision_id = parent_node.current.id + else: + # Non-cache path: query DB to check if parent metric has metric parents + # Create an alias for the parent node table + ParentNode = aliased(Node, name="parent_node") + parent_check_stmt = ( + select( + NodeRevision.id.label("revision_id"), + ) + .select_from(Node) + .join( + NodeRevision, + (NodeRevision.node_id == Node.id) + & (Node.current_version == NodeRevision.version), + ) + .join( + NodeRelationship, + NodeRelationship.child_id == NodeRevision.id, + ) + .join( + ParentNode, + NodeRelationship.parent_id == ParentNode.id, + ) + .where( + Node.name == base_metric.name, + ParentNode.type == NodeType.METRIC, + ) + ) + parent_check_result = await session.execute(parent_check_stmt) + parent_row = parent_check_result.first() + if parent_row: + is_parent_derived = True + parent_revision_id = parent_row.revision_id + + if is_parent_derived and parent_revision_id: + # Recursively extract the derived metric (inline expansion) + parent_extractor = MetricComponentExtractor(parent_revision_id) + base_components, derived_ast = await parent_extractor.extract( + session, + nodes_cache=nodes_cache, + parent_map=parent_map, + metric_node=parent_node, + parsed_query_cache=parsed_query_cache, + _visited=_visited, + ) + else: + # True base metric - decompose aggregations + base_ast = cached_parse(base_metric.query) + base_components, derived_ast = self._extract_base(base_ast) + + for comp in base_components: + if comp.name not in components_tracker: + components_tracker.add(comp.name) + all_components.append(comp) + + # Store for derived metric substitution + base_metrics_data[base_metric.name] = ( + base_components, + str(derived_ast.select.projection[0]), + ) + + # For derived metrics: substitute metric references in query + # For base metrics: use the decomposed query directly + if metric_data.is_derived: + query_ast = self._substitute_metric_references(query_ast, base_metrics_data) + else: + # Base metric - use the decomposed AST directly + query_ast = derived_ast + + return all_components, query_ast + + def _build_metric_data_from_cache( + self, + metric_node: "Node", + nodes_cache: dict[str, "Node"], + parent_map: dict[str, list[str]], + ) -> MetricData: + """ + Build MetricData from pre-loaded nodes cache instead of querying DB. + + Args: + metric_node: The metric node to extract from + nodes_cache: Dict of node_name -> Node with current revision loaded + parent_map: Dict of child_name -> list of parent_names + + Returns: + MetricData with query, is_derived flag, and list of base metrics + """ + if not metric_node.current or not metric_node.current.query: + raise ValueError( + f"Metric {metric_node.name} has no query", + ) # pragma: no cover + + # Find parent metrics from cache + parent_names = parent_map.get(metric_node.name, []) + metric_parents = [ + name + for name in parent_names + if name in nodes_cache and nodes_cache[name].type == NodeType.METRIC + ] + + if metric_parents: + # Derived metric - base metrics are the parent metrics + return MetricData( + query=metric_node.current.query, + is_derived=True, + base_metrics=[ + BaseMetricData( + name=parent_name, + query=nodes_cache[parent_name].current.query, + ) + for parent_name in metric_parents + if nodes_cache[parent_name].current + and nodes_cache[parent_name].current.query + ], + ) + else: + # Base metric - base metric is itself + return MetricData( + query=metric_node.current.query, + is_derived=False, + base_metrics=[ + BaseMetricData( + name=metric_node.name, + query=metric_node.current.query, + ), + ], + ) + + async def _load_metric_data(self, session: AsyncSession) -> MetricData: + """ + Load all metric data in a single query. + + Returns: + MetricData with query, is_derived flag, and list of base metrics + """ + # Query to get metric parents (if any) + parent_stmt = ( + select( + Node.name.label("parent_name"), + NodeRevision.query.label("parent_query"), + ) + .select_from(NodeRelationship) + .join(Node, NodeRelationship.parent_id == Node.id) + .join( + NodeRevision, + (NodeRevision.node_id == Node.id) + & (NodeRevision.version == Node.current_version), + ) + .where( + NodeRelationship.child_id == self._node_revision_id, + Node.type == NodeType.METRIC, + ) + ) + parent_result = await session.execute(parent_stmt) + parent_rows = parent_result.all() + + # Query to get this metric's own data + this_metric_stmt = ( + select( + NodeRevision.query, + Node.name, + ) + .join(Node, NodeRevision.node_id == Node.id) + .where( + NodeRevision.id == self._node_revision_id, + Node.current_version == NodeRevision.version, + ) + ) + this_result = await session.execute(this_metric_stmt) + this_row = this_result.one() + + if parent_rows: + # Derived metric - base metrics are the parents + return MetricData( + query=this_row.query, + is_derived=True, + base_metrics=[ + BaseMetricData(name=row.parent_name, query=row.parent_query) + for row in parent_rows + ], + ) + else: + # Base metric - base metric is itself + return MetricData( + query=this_row.query, + is_derived=False, + base_metrics=[BaseMetricData(name=this_row.name, query=this_row.query)], + ) + + def _extract_base( + self, + query_ast: ast.Query, + ) -> tuple[list[MetricComponent], ast.Query]: + """ + Extract components from a base metric by decomposing aggregations. + + Returns: + Tuple of (components, modified_query_ast) + """ + components: list[MetricComponent] = [] + components_tracker: set[str] = set() + + if query_ast.select.from_: # pragma: no branch + query_ast = self._normalize_aliases(query_ast) + + for func in query_ast.find_all(ast.Function): + dj_function = func.function() + if dj_function and dj_function.is_aggregation: + result = self._decompose(func, dj_function, query_ast) + if result: + # Apply combiner to AST + func.parent.replace(from_=func, to=result.combiner) # type: ignore + # Collect unique components + for comp in sorted(result.components, key=lambda m: m.name): + if comp.name not in components_tracker: + components_tracker.add(comp.name) + components.append(comp) + + return components, query_ast + + def _substitute_metric_references( + self, + query_ast: ast.Query, + base_metrics_data: dict[str, tuple[list[MetricComponent], str]], + ) -> ast.Query: + """ + Substitute metric references in derived metric query with their combiner expressions. + + Args: + query_ast: The derived metric's query AST + base_metrics_data: Dict of metric_name -> (components, combiner_expr) + + Returns: + Modified query_ast with substitutions + """ + # Find and replace metric references with their combiner expressions + for col in list(query_ast.find_all(ast.Column)): + col_name = col.identifier() + if col_name in base_metrics_data: + _, combiner_expr = base_metrics_data[col_name] + if combiner_expr and col.parent: # pragma: no branch + # Parse the combiner expression (wrap in SELECT to make it valid SQL) + combiner_ast = parse(f"SELECT {combiner_expr}").select.projection[0] + col.parent.replace(from_=col, to=combiner_ast) + + return query_ast + + def _normalize_aliases(self, query_ast: ast.Query) -> ast.Query: + """ + Remove table aliases from the query to normalize column references. + + Returns: + Modified query_ast + """ + parent_node_alias = query_ast.select.from_.relations[ # type: ignore + 0 + ].primary.alias # type: ignore + if parent_node_alias: + for col in query_ast.find_all(ast.Column): + if col.namespace and col.namespace[0].name == parent_node_alias.name: + col.name = ast.Name(col.name.name) + query_ast.select.from_.relations[0].primary.set_alias(None) # type: ignore + return query_ast + + def _decompose( + self, + func: ast.Function, + dj_function: type, + query_ast: ast.Query, + ) -> DecompositionResult | None: + """Decompose an aggregation function using the registry.""" + decomposition = get_decomposition(dj_function) + + if decomposition is None: + # Not decomposable (e.g., MAX_BY, MIN_BY) + return None + + # Build components from decomposition + components = [ + self._make_component(func, comp_def, query_ast) + for comp_def in decomposition.components + ] + + # Build combiner AST + is_distinct = func.quantifier == ast.SetQuantifier.Distinct + + if is_distinct: + # DISTINCT aggregations can't be pre-aggregated, so keep original function + # Just replace column references with component names + combiner_ast: ast.Expression = ast.Function( + func.name, + args=[ast.Column(ast.Name(components[0].name))], + quantifier=ast.SetQuantifier.Distinct, + ) + else: + combiner_ast = decomposition.combine(components) + + return DecompositionResult(components, combiner_ast) + + def _make_component( + self, + func: ast.Function, + comp_def: ComponentDef, + query_ast: ast.Query, + ) -> MetricComponent: + """Create a MetricComponent from a function and component definition.""" + is_distinct = func.quantifier == ast.SetQuantifier.Distinct + + # Determine which args to use based on arg_index + if comp_def.arg_index is not None: + # Single-arg component + arg = func.args[comp_def.arg_index] + expression = str(arg) + columns = list(arg.find_all(ast.Column)) + else: + # Multi-arg component (e.g., for CORR, COVAR) + # Expression combines all args + expression = " * ".join(str(a) for a in func.args) + columns = [] + for a in func.args: + columns.extend(a.find_all(ast.Column)) + + # Build component name from columns in the expression + if is_distinct: + # DISTINCT uses column names + "_distinct" + base_name = ( + "_".join(amenable_name(str(col)) for col in columns) + "_distinct" + ) + elif columns: + # Normal case: column names + suffix + base_name = ( + "_".join(amenable_name(str(col)) for col in columns) + comp_def.suffix + ) + else: + # No columns (e.g., COUNT(*)) - use suffix without leading underscore + base_name = comp_def.suffix.lstrip("_") or "count" + + short_hash = self._short_hash(expression, query_ast) + + # Build accumulate expression with template expansion + accumulate_expr = self._expand_template(comp_def.accumulate, func.args) + + return MetricComponent( + name=f"{base_name}_{short_hash}", + expression=expression, + aggregation=None if is_distinct else accumulate_expr, + merge=None if is_distinct else comp_def.merge, + rule=AggregationRule( + type=Aggregability.LIMITED if is_distinct else Aggregability.FULL, + level=[str(a) for a in func.args] if is_distinct else None, + ), + ) + + def _expand_template(self, template: str, args: list) -> str: + """ + Expand accumulate template with function arguments. + + Supports: + - Simple function name: "SUM" -> "SUM" + - Single placeholder {}: "SUM(POWER({}, 2))" -> "SUM(POWER(x, 2))" + - Indexed placeholders: "SUM({0} * {1})" -> "SUM(x * y)" + """ + if "{" not in template: + # Simple function name, no expansion needed + return template + + # Check for indexed placeholders {0}, {1}, etc. + if "{0}" in template or "{1}" in template: + result = template + for i, arg in enumerate(args): + result = result.replace(f"{{{i}}}", str(arg)) + return result + + # Single {} placeholder - use first arg + return template.replace("{}", str(args[0])) + + def _short_hash(self, expression: str, query_ast: ast.Query) -> str: + """Generate a short hash for the given expression.""" + signature = expression + str(query_ast.select.from_) + return hashlib.md5(signature.encode("utf-8")).hexdigest()[:8] diff --git a/datajunction-server/datajunction_server/sql/functions.py b/datajunction-server/datajunction_server/sql/functions.py new file mode 100644 index 000000000..a5d100440 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/functions.py @@ -0,0 +1,4816 @@ +# mypy: ignore-errors + +""" +SQL functions for type inference. + +This file holds all the functions that we want to support in the SQL used to define +nodes. The functions are used to infer types. + +Spark function reference +https://github.com/apache/spark/tree/74cddcfda3ac4779de80696cdae2ba64d53fc635/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions + +Java strictmath reference +https://docs.oracle.com/javase/8/docs/api/java/lang/StrictMath.html + +Databricks reference: +https://docs.databricks.com/sql/language-manual/sql-ref-functions-builtin-alpha.html +""" + +import inspect +import re +from itertools import zip_longest +from typing import ( + TYPE_CHECKING, + Callable, + ClassVar, + Dict, + List, + Optional, + Tuple, + Type, + Union, + cast, + get_origin, +) + +import datajunction_server.sql.parsing.types as ct +from datajunction_server.errors import ( + DJError, + DJInvalidInputException, + DJNotImplementedException, + ErrorCode, +) +from datajunction_server.models.engine import Dialect +from datajunction_server.sql.parsing.backends.exceptions import DJParseException +from datajunction_server.utils import get_settings + +if TYPE_CHECKING: + from datajunction_server.sql.parsing.ast import Expression + + +def compare_registers(types, register) -> bool: + """ + Comparing registers + """ + for (type_a, register_a), (type_b, register_b) in zip_longest( + types, + register, + fillvalue=(-1, None), + ): + if type_b == -1 and register_b is None: + if register and register[-1] and register[-1][0] == -1: # args + register_b = register[-1][1] + else: + return False # pragma: no cover + if type_a == -1: + register_a = type(register_a) + if not issubclass(register_a, register_b): # type: ignore + return False + return True + + +class DispatchMeta(type): + """ + Dispatch abstract class for function registry + """ + + def __getattribute__(cls, func_name): + if func_name in type.__getattribute__(cls, "registry").get(cls, {}): + + def dynamic_dispatch(*args: "Expression"): + return cls.dispatch(func_name, *args)(*args) + + return dynamic_dispatch + return type.__getattribute__(cls, func_name) + + +class Dispatch(metaclass=DispatchMeta): + """ + Function registry + """ + + registry: ClassVar[Dict[str, Dict[Tuple[Tuple[int, Type]], Callable]]] = {} + + @classmethod + def register(cls, func): + func_name = func.__name__ + params = inspect.signature(func).parameters + spread_types = [[]] + cls.registry[cls] = cls.registry.get(cls) or {} + cls.registry[cls][func_name] = cls.registry[cls].get(func_name) or {} + for i, (key, value) in enumerate(params.items()): + name = str(value).split(":", maxsplit=1)[0] + if name.startswith("**"): + raise ValueError( + "kwargs are not supported in dispatch.", + ) # pragma: no cover + if name.startswith("*"): + i = -1 + type_ = params[key].annotation + if type_ == inspect.Parameter.empty: + raise ValueError( # pragma: no cover + "All arguments must have a type annotation.", + ) + inner_types = [type_] + if get_origin(type_) == Union: + inner_types = type_.__args__ + for _ in inner_types: + spread_types += spread_types[:] + temp = [] + for type_ in inner_types: + for types in spread_types: + temp.append(types[:]) + temp[-1].append((i, type_)) + spread_types = temp + for types in spread_types: + cls.registry[cls][func_name][tuple(types)] = func # type: ignore + return func + + @classmethod + def dispatch(cls, func_name, *args: "Expression"): + type_registry = cls.registry[cls].get(func_name) # type: ignore + if not type_registry: + raise ValueError( + f"No function registered on {cls.__name__}`{func_name}`.", + ) # pragma: no cover + + type_list = [] + for i, arg in enumerate(args): + type_list.append( + (i, type(arg.type) if hasattr(arg, "type") else type(arg)), + ) + + types = tuple(type_list) + + if types in type_registry: # type: ignore + return type_registry[types] # type: ignore + + for register, func in type_registry.items(): # type: ignore + if compare_registers(types, register): + return func + + raise TypeError( + f"`{cls.__name__}.{func_name}` got an invalid " + "combination of types: " + f"{', '.join(str(t[1].__name__) for t in types)}", + ) + + +class Function(Dispatch): + """ + A DJ function. + + Class variables: + is_aggregation: Whether this is an aggregation function + is_runtime: Whether this is a runtime function (evaluated at execution time) + dialects: List of dialects that support this function + dialect_names: Mapping of dialect -> function name for dialect-aware rendering. + If a dialect is not in this dict, the canonical (Spark) name is used. + """ + + is_aggregation: ClassVar[bool] = False + is_runtime: ClassVar[bool] = False + dialects: List[Dialect] = [Dialect.SPARK] + # Override in subclasses to provide dialect-specific function names + dialect_names: ClassVar[Dict[Dialect, str]] = {} + + @staticmethod + def infer_type(*args) -> ct.ColumnType: + raise NotImplementedError() + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by a given Spark function that takes + a lambda function. This allows us to evaluate the lambda's expression and + determine the result's type. + """ + + +class TableFunction(Dispatch): + """ + A DJ table-valued function. + """ + + @staticmethod + def infer_type(*args) -> List[ct.ColumnType]: + raise NotImplementedError() + + +class DjLogicalTimestamp(Function): + """ + A special function that returns the "current" timestamp as a string based on the + specified format. Used for incrementally materializing nodes, where "current" refers + to the timestamp associated with the given partition that's being processed. + """ + + is_runtime = True + + @staticmethod + def substitute(): + settings = get_settings() + return settings.dj_logical_timestamp_format + + +@DjLogicalTimestamp.register # type: ignore +def infer_type() -> ct.StringType: + """ + Defaults to returning a timestamp in the format %Y-%m-%d %H:%M:%S + """ + return ct.StringType() + + +@DjLogicalTimestamp.register # type: ignore +def infer_type(_: ct.StringType) -> ct.StringType: + """ + This function can optionally take a datetime format string like: + DJ_CURRENT_TIMESTAMP('%Y-%m-%d') + """ + return ct.StringType() + + +##################### +# Regular Functions # +##################### + + +class Abs(Function): + """ + Returns the absolute value of the numeric or interval value. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Abs.register +def infer_type( + arg: ct.NumberType, +) -> ct.NumberType: + type_ = arg.type + return type_ + + +class Acos(Function): + """ + Returns the inverse cosine (a.k.a. arc cosine) of expr + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Acos.register +def infer_type( + arg: ct.NumberType, +) -> ct.FloatType: + return ct.FloatType() + + +class Aggregate(Function): + """ + Applies a binary operator to an initial state and all elements in the array, + and reduces this to a single state. The final state is converted into the + final result by applying a finish function. + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `aggregate` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + # aggregate's lambda function can take three or four arguments, depending on whether + # an optional finish function is provided + if len(args) == 4: + expr, start, merge, finish = args + else: + expr, start, merge = args + finish = None + + available_identifiers = { + identifier.name: idx for idx, identifier in enumerate(merge.identifiers) + } + merge_columns = list( + merge.expr.filter( + lambda x: isinstance(x, ast.Column) + and x.alias_or_name.name in available_identifiers, + ), + ) + finish_columns = ( + list( + finish.expr.filter( + lambda x: isinstance(x, ast.Column) + and x.alias_or_name.name in available_identifiers, + ), + ) + if finish + else [] + ) + for col in merge_columns: + if available_identifiers.get(col.alias_or_name.name) == 0: + col.add_type(start.type) + if available_identifiers.get(col.alias_or_name.name) == 1: + col.add_type(expr.type.element.type) + for col in finish_columns: + if ( + available_identifiers.get(col.alias_or_name.name) == 0 + ): # pragma: no cover + col.add_type(start.type) + + +@Aggregate.register # type: ignore +def infer_type( + expr: ct.ListType, + start: ct.ColumnType, + merge: ct.ColumnType, +) -> ct.ColumnType: + return merge.expr.type + + +class AnyValue(Function): + """ + Returns any value of the specified expression + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@AnyValue.register +def infer_type( + expr: ct.ColumnType, +) -> ct.ColumnType: + return expr.type # type: ignore + + +class ApproxCountDistinct(Function): + """ + approx_count_distinct(expr) + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@ApproxCountDistinct.register +def infer_type( + expr: ct.ColumnType, +) -> ct.LongType: + return ct.LongType() + + +# ============================================================================= +# HLL (HyperLogLog) Sketch Functions +# ============================================================================= +# DJ uses Spark function names as its internal canonical representation. +# These are the three phases of HLL computation: +# +# 1. hll_sketch_agg(expr) - Build sketch from raw data (ACCUMULATE phase) +# 2. hll_union(sketch) - Merge multiple sketches (MERGE phase) +# 3. hll_sketch_estimate(sketch) - Extract cardinality from sketch (COMBINE phase) +# +# Dialect translations: +# | DJ (Spark) | Druid | Trino | +# |---------------------|------------------------------|-----------------| +# | hll_sketch_agg | DS_HLL | approx_set | +# | hll_union | DS_HLL (with sketch input) | merge | +# | hll_sketch_estimate | APPROX_COUNT_DISTINCT_DS_HLL | cardinality | +# ============================================================================= + + +class HllSketchAgg(Function): + """ + hll_sketch_agg(expr [, precision]) - Build an HLL sketch from raw values. + + Args: + expr: Column to aggregate + precision: Optional log2 of sketch size (default varies by engine) + + Returns: Binary HLL sketch + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID, Dialect.TRINO] + dialect_names = { + Dialect.DRUID: "ds_hll", + Dialect.TRINO: "approx_set", + } + + +@HllSketchAgg.register +def infer_type( + expr: ct.ColumnType, + precision: ct.IntegerType, +) -> ct.BinaryType: + return ct.BinaryType() + + +@HllSketchAgg.register +def infer_type( + expr: ct.ColumnType, +) -> ct.BinaryType: + return ct.BinaryType() + + +class HllUnionAgg(Function): + """ + hll_union_agg(sketch) - Merge multiple HLL sketches into one. + """ + + is_aggregation = True # pragma: no cover + dialects = [Dialect.SPARK, Dialect.DRUID, Dialect.TRINO] + dialect_names = { + Dialect.DRUID: "ds_hll", + Dialect.TRINO: "merge", + } + + +@HllUnionAgg.register +def infer_type( + sketch: ct.ColumnType, +) -> ct.BinaryType: + return ct.BinaryType() + + +@HllUnionAgg.register +def infer_type( + sketch: ct.ColumnType, + allowDifferentLgConfigK: ct.BooleanType, +) -> ct.BinaryType: + return ct.BinaryType() # pragma: no cover + + +class HllUnion(Function): + """ + hll_union(sketch) - Merge multiple HLL sketches into one. + + Used in the MERGE phase to combine pre-aggregated sketches. + + Returns: Binary HLL sketch + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID, Dialect.TRINO] + dialect_names = { + Dialect.DRUID: "ds_hll", + Dialect.TRINO: "merge", + } + + +@HllUnion.register +def infer_type( + col1: ct.ColumnType, + col2: ct.ColumnType, +) -> ct.BinaryType: + return ct.BinaryType() + + +class HllSketchEstimate(Function): + """ + hll_sketch_estimate(sketch) - Extract approximate distinct count from an HLL sketch. + + Used in the COMBINE phase to produce the final cardinality estimate. + + Returns: Long (approximate distinct count) + """ + + is_aggregation = False # Scalar function, not an aggregation + dialects = [Dialect.SPARK, Dialect.DRUID, Dialect.TRINO] + dialect_names = { + Dialect.DRUID: "hll_sketch_estimate", + Dialect.TRINO: "cardinality", + } + + +@HllSketchEstimate.register +def infer_type( + sketch: ct.ColumnType, +) -> ct.LongType: + return ct.LongType() + + +# ----------------------------------------------------------------------------- +# Legacy Druid-specific HLL functions (kept for backward compatibility) +# ----------------------------------------------------------------------------- + + +class HllSketchUnion(Function): + """Legacy Druid-specific sketch union. Prefer HllUnion for new code.""" + + is_aggregation = True + dialects = [Dialect.DRUID] + + +@HllSketchUnion.register +def infer_type( + sketch: ct.BinaryType, +) -> ct.BinaryType: + return ct.BinaryType() # pragma: no cover + + +class ApproxCountDistinctDsHll(Function): + """Druid's DS_HLL based approximate count distinct.""" + + is_aggregation = True + dialects = [Dialect.DRUID] + + +@ApproxCountDistinctDsHll.register +def infer_type( + expr: ct.ColumnType, +) -> ct.LongType: + return ct.LongType() + + +class ApproxCountDistinctDsTheta(Function): + """Druid's Theta sketch based approximate count distinct.""" + + is_aggregation = True + dialects = [Dialect.DRUID] + + +@ApproxCountDistinctDsTheta.register +def infer_type( + expr: ct.ColumnType, +) -> ct.LongType: + return ct.LongType() + + +class ApproxPercentile(Function): + """ + approx_percentile(col, percentage [, accuracy]) - + Returns the approximate percentile of the numeric or ansi interval + column col which is the smallest value in the ordered col values + """ + + is_aggregation = True + + +@ApproxPercentile.register +def infer_type( + col: ct.NumberType, + percentage: ct.ListType, + accuracy: Optional[ct.NumberType], +) -> ct.DoubleType: + return ct.ListType(element_type=col.type) # type: ignore + + +@ApproxPercentile.register +def infer_type( + col: ct.NumberType, + percentage: ct.FloatType, + accuracy: Optional[ct.NumberType], +) -> ct.NumberType: + return col.type # type: ignore + + +class Array(Function): + """ + Returns an array of constants + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Array.register # type: ignore +def infer_type( + *elements: ct.ColumnType, +) -> ct.ListType: + types = {element.type for element in elements if element.type != ct.NullType()} + if len(types) > 1: + raise DJParseException( + f"Multiple types {', '.join(sorted(str(typ) for typ in types))} passed to array.", + ) + element_type = elements[0].type if elements else ct.NullType() + return ct.ListType(element_type=element_type) + + +@Array.register # type: ignore +def infer_type() -> ct.ListType: + return ct.ListType(element_type=ct.NullType()) + + +class ArrayAgg(Function): + """ + Collects and returns a list of non-unique elements. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@ArrayAgg.register # type: ignore +def infer_type( + *elements: ct.ColumnType, +) -> ct.ListType: + types = {element.type for element in elements} + if len(types) > 1: # pragma: no cover + raise DJParseException( + f"Multiple types {', '.join(sorted(str(typ) for typ in types))} passed to array.", + ) + element_type = elements[0].type if elements else ct.NullType() + return ct.ListType(element_type=element_type) + + +class ArrayAppend(Function): + """ + Add the element at the end of the array passed as first argument + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@ArrayAppend.register # type: ignore +def infer_type( + array: ct.ListType, + item: ct.ColumnType, +) -> ct.ListType: + return ct.ListType(element_type=item.type) + + +class ArrayCompact(Function): + """ + array_compact(array) - Removes null values from the array. + """ + + +@ArrayCompact.register +def infer_type( + array: ct.ListType, +) -> ct.ListType: + return array.type + + +class ArrayConcat(Function): + """ + array_concat(arr1, arr2) + Concatenates arr2 to arr1. The resulting array type is determined by the type of arr1. + """ + + dialects = [Dialect.DRUID] + + +@ArrayConcat.register +def infer_type( + arr1: ct.ListType, + arr2: ct.ListType, +) -> ct.ListType: + return arr1.type + + +class ArrayContains(Function): + """ + array_contains(array, value) - Returns true if the array contains the value. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@ArrayContains.register +def infer_type( + array: ct.ListType, + element: ct.ColumnType, +) -> ct.BooleanType: + return ct.BooleanType() + + +class ArrayDistinct(Function): + """ + array_distinct(array) - Removes duplicate values from the array. + """ + + +@ArrayDistinct.register +def infer_type( + array: ct.ListType, +) -> ct.ListType: + return array.type + + +class ArrayExcept(Function): + """ + array_except(array1, array2) - Returns an array of the elements in + array1 but not in array2, without duplicates. + """ + + +@ArrayExcept.register +def infer_type( + array1: ct.ListType, + array2: ct.ListType, +) -> ct.ListType: + return array1.type + + +class ArrayLength(Function): + """ + array_length(expr) - Returns the size of an array. The function returns null for null input. + """ + + dialects = [Dialect.DRUID] + + +@ArrayLength.register +def infer_type( + array: ct.ListType, +) -> ct.LongType: + return ct.LongType() + + +class ArrayIntersect(Function): + """ + array_intersect(array1, array2) - Returns an array of the + elements in the intersection of array1 and array2, without duplicates. + """ + + +@ArrayIntersect.register +def infer_type( + array1: ct.ListType, + array2: ct.ListType, +) -> ct.ListType: + return array1.type + + +class ArrayJoin(Function): + """ + array_join(array, delimiter[, nullReplacement]) - Concatenates + the elements of the given array using the delimiter and an + optional string to replace nulls. + """ + + +@ArrayJoin.register +def infer_type( + array: ct.ListType, + delimiter: ct.StringType, +) -> ct.StringType: + return ct.StringType() + + +@ArrayJoin.register +def infer_type( + array: ct.ListType, + delimiter: ct.StringType, + null_replacement: ct.StringType, +) -> ct.StringType: + return ct.StringType() + + +class ArrayMax(Function): + """ + array_max(array) - Returns the maximum value in the array. NaN is + greater than any non-NaN elements for double/float type. NULL + elements are skipped. + """ + + +@ArrayMax.register +def infer_type( + array: ct.ListType, +) -> ct.NumberType: + return array.type.element.type + + +class ArrayMin(Function): + """ + array_min(array) - Returns the minimum value in the array. NaN is greater than + any non-NaN elements for double/float type. NULL elements are skipped. + """ + + +@ArrayMin.register +def infer_type( + array: ct.ListType, +) -> ct.NumberType: + return array.type.element.type + + +class ArrayOffset(Function): + """ + ARRAY_OFFSET(arr, long) + Returns the array element at the 0-based index supplied + """ + + dialects = [Dialect.DRUID] + + +@ArrayOffset.register +def infer_type( + array: ct.ListType, + index: Union[ct.LongType, ct.IntegerType], +) -> ct.NumberType: + return array.type.element.type # type: ignore + + +class ArrayOrdinal(Function): + """ + ARRAY_ORDINAL(arr, long) + Returns the array element at the 1-based index supplied + """ + + dialects = [Dialect.DRUID] + + +@ArrayOrdinal.register +def infer_type( + array: ct.ListType, + index: Union[ct.LongType, ct.IntegerType], +) -> ct.NumberType: + return array.type.element.type # type: ignore + + +class ArrayPosition(Function): + """ + array_position(array, element) - Returns the (1-based) index of the first + element of the array as long. + """ + + +@ArrayPosition.register +def infer_type( + array: ct.ListType, + element: ct.ColumnType, +) -> ct.LongType: + return ct.LongType() + + +class ArrayRemove(Function): + """ + array_remove(array, element) - Remove all elements that equal to element from array. + """ + + +@ArrayRemove.register +def infer_type( + array: ct.ListType, + element: ct.ColumnType, +) -> ct.ListType: + return array.type + + +class ArrayRepeat(Function): + """ + array_repeat(element, count) - Returns the array containing element count times. + """ + + +@ArrayRepeat.register +def infer_type( + element: ct.ColumnType, + count: ct.IntegerType, +) -> ct.ListType: + return ct.ListType(element_type=element.type) + + +class ArraySize(Function): + """ + array_size(expr) - Returns the size of an array. The function returns null for null input. + """ + + +@ArraySize.register +def infer_type( + array: ct.ListType, +) -> ct.LongType: + return ct.LongType() + + +class ArraySort(Function): + """ + array_sort(expr, func) - Sorts the input array + """ + + +@ArraySort.register +def infer_type( + array: ct.ListType, +) -> ct.ListType: + return array.type + + +@ArraySort.register +def infer_type( + array: ct.ListType, + sort_func: ct.LambdaType, +) -> ct.ListType: # pragma: no cover + return array.type + + +class ArrayUnion(Function): + """ + array_union(array1, array2) - Returns an array of the elements + in the union of array1 and array2, without duplicates. + """ + + +@ArrayUnion.register +def infer_type( + array1: ct.ListType, + array2: ct.ListType, +) -> ct.ListType: + return array1.type + + +class ArraysOverlap(Function): + """ + arrays_overlap(a1, a2) - Returns true if a1 contains at least a + non-null element present also in a2. + """ + + +@ArraysOverlap.register +def infer_type( + array1: ct.ListType, + array2: ct.ListType, +) -> ct.ListType: + return ct.BooleanType() + + +class Avg(Function): + """ + Computes the average of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Avg.register +def infer_type( + arg: ct.DecimalType, +) -> ct.DecimalType: + type_ = arg.type + return ct.DecimalType(type_.precision + 4, type_.scale + 4) + + +@Avg.register +def infer_type( + arg: ct.IntervalTypeBase, +) -> ct.IntervalTypeBase: + return type(arg.type)() + + +@Avg.register # type: ignore +def infer_type( + arg: ct.NumberType, +) -> ct.DoubleType: + return ct.DoubleType() + + +@Avg.register # type: ignore +def infer_type( + arg: ct.DateTimeBase, +) -> ct.DateTimeBase: + return type(arg.type)() + + +class Cardinality(Function): + """ + Returns the size of an array or a map. + """ + + +@Cardinality.register # type: ignore +def infer_type( + args: ct.ListType, +) -> ct.IntegerType: + return ct.IntegerType() + + +@Cardinality.register # type: ignore +def infer_type( + args: ct.MapType, +) -> ct.IntegerType: + return ct.IntegerType() + + +class Cbrt(Function): + """ + cbrt(expr) - Computes the cube root of the value expr. + """ + + +@Cbrt.register # type: ignore +def infer_type( + arg: ct.NumberType, +) -> ct.ColumnType: + return ct.FloatType() + + +class Ceil(Function): + """ + Computes the smallest integer greater than or equal to the input value. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +class Ceiling(Function): + """ + ceiling(expr[, scale]) - Returns the smallest number after rounding up that is not smaller + than expr. An optional scale parameter can be specified to control the rounding behavior. + """ + + +@Ceil.register +@Ceiling.register +def infer_type( + args: ct.NumberType, + _target_scale: ct.IntegerType, +) -> ct.DecimalType: + target_scale = _target_scale.value + if isinstance(args.type, ct.DecimalType): + precision = max(args.type.precision - args.type.scale + 1, -target_scale + 1) + scale = min(args.type.scale, max(0, target_scale)) + return ct.DecimalType(precision, scale) + if args.type == ct.TinyIntType(): + precision = max(3, -target_scale + 1) + return ct.DecimalType(precision, 0) + if args.type == ct.SmallIntType(): + precision = max(5, -target_scale + 1) + return ct.DecimalType(precision, 0) + if args.type == ct.IntegerType(): + precision = max(10, -target_scale + 1) + return ct.DecimalType(precision, 0) + if args.type == ct.BigIntType(): + precision = max(20, -target_scale + 1) + return ct.DecimalType(precision, 0) + if args.type == ct.FloatType(): + precision = max(14, -target_scale + 1) + scale = min(7, max(0, target_scale)) + return ct.DecimalType(precision, scale) + if args.type == ct.DoubleType(): + precision = max(30, -target_scale + 1) + scale = min(15, max(0, target_scale)) + return ct.DecimalType(precision, scale) + + raise DJParseException( # pragma: no cover + f"Unhandled numeric type in Ceil `{args.type}`", + ) + + +@Ceil.register +@Ceiling.register +def infer_type( + args: ct.DecimalType, +) -> ct.DecimalType: + return ct.DecimalType(args.type.precision - args.type.scale + 1, 0) + + +@Ceil.register +@Ceiling.register +def infer_type( + args: ct.NumberType, +) -> ct.BigIntType: + return ct.BigIntType() + + +class Char(Function): + """ + char(expr) - Returns the ASCII character having the binary equivalent to expr. + """ + + +@Char.register # type: ignore +def infer_type( + arg: ct.IntegerType, +) -> ct.ColumnType: + return ct.StringType() + + +class CharLength(Function): + """ + char_length(expr) - Returns the length of the value expr. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@CharLength.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.ColumnType: + return ct.IntegerType() + + +class CharacterLength(Function): + """ + character_length(expr) - Returns the length of the value expr. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@CharacterLength.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.ColumnType: + return ct.IntegerType() + + +class Chr(Function): + """ + chr(expr) - Returns the ASCII character having the binary equivalent to expr. + """ + + +@Chr.register # type: ignore +def infer_type(arg: ct.IntegerType) -> ct.ColumnType: + return ct.StringType() + + +class Coalesce(Function): + """ + Computes the average of the input column or expression. + """ + + is_aggregation = False + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Coalesce.register # type: ignore +def infer_type( + *args: ct.ColumnType, +) -> ct.ColumnType: + if not args: # pragma: no cover + raise DJInvalidInputException( + message="Wrong number of arguments to function", + errors=[ + DJError( + code=ErrorCode.INVALID_ARGUMENTS_TO_FUNCTION, + message="You need to pass at least one argument to `COALESCE`.", + ), + ], + ) + for arg in args: + if arg.type != ct.NullType(): + return arg.type + return ct.NullType() + + +class CollectList(Function): + """ + Collects and returns a list of non-unique elements. + """ + + is_aggregation = True + + +@CollectList.register +def infer_type( + arg: ct.ColumnType, +) -> ct.ColumnType: + return ct.ListType(element_type=arg.type) + + +class CollectSet(Function): + """ + Collects and returns a list of unique elements. + """ + + is_aggregation = True + + +@CollectSet.register +def infer_type( + arg: ct.ColumnType, +) -> ct.ColumnType: + return ct.ListType(element_type=arg.type) + + +class Concat(Function): + """ + concat(col1, col2, ..., colN) - Returns the concatenation of col1, col2, ..., colN. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Concat.register # type: ignore +def infer_type( + *strings: ct.StringType, +) -> ct.StringType: + return ct.StringType() + + +@Concat.register # type: ignore +def infer_type( + *arrays: ct.ListType, +) -> ct.ListType: + return arrays[0].type + + +@Concat.register # type: ignore +def infer_type( + *maps: ct.MapType, +) -> ct.MapType: + return maps[0].type + + +class ConcatWs(Function): + """ + concat_ws(separator, [str | array(str)]+) - Returns the concatenation of the + strings separated by separator. + """ + + +@ConcatWs.register # type: ignore +def infer_type( + sep: ct.StringType, + *strings: ct.StringType, +) -> ct.ColumnType: + return ct.StringType() + + +@ConcatWs.register # type: ignore +def infer_type( + sep: ct.StringType, + *strings: ct.ListType, +) -> ct.ColumnType: + return ct.StringType() + + +class Contains(Function): + """ + contains(left, right) - Returns a boolean. The value is True if right is found inside left. + Returns NULL if either input expression is NULL. Otherwise, returns False. Both left or + right must be of STRING or BINARY type. + """ + + +@Contains.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.BooleanType() + + +class ContainsString(Function): + """ + contains_string(left, right) - Returns a boolean + """ + + dialects = [Dialect.DRUID] + + +@ContainsString.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.BooleanType() + + +@Contains.register # type: ignore +def infer_type( + arg1: ct.BinaryType, + arg2: ct.BinaryType, +) -> ct.ColumnType: # pragma: no cover + return ct.BooleanType() + + +class Conv(Function): + """ + conv(expr, from_base, to_base) - Convert the number expr from from_base to to_base. + """ + + +@Conv.register # type: ignore +def infer_type( + arg1: ct.NumberType, + arg2: ct.IntegerType, + arg3: ct.IntegerType, +) -> ct.ColumnType: + return ct.StringType() + + +@Conv.register # type: ignore +def infer_type( + arg1: ct.StringType, + arg2: ct.IntegerType, + arg3: ct.IntegerType, +) -> ct.ColumnType: + return ct.StringType() + + +class ConvertTimezone(Function): + """ + convert_timezone(from_tz, to_tz, timestamp) - Convert timestamp from from_tz to to_tz. + Spark 3.4+ + """ + + +@ConvertTimezone.register # type: ignore +def infer_type( + arg1: ct.StringType, + arg2: ct.StringType, + arg3: ct.TimestampType, +) -> ct.ColumnType: + return ct.TimestampType() + + +class Corr(Function): + """ + corr(expr1, expr2) - Compute the correlation of expr1 and expr2. + """ + + is_aggregation = True + + +@Corr.register # type: ignore +def infer_type( + arg1: ct.NumberType, + arg2: ct.NumberType, +) -> ct.ColumnType: + return ct.FloatType() + + +class Cos(Function): + """ + cos(expr) - Compute the cosine of expr. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Cos.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.ColumnType: + return ct.FloatType() + + +class Cosh(Function): + """ + cosh(expr) - Compute the hyperbolic cosine of expr. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Cosh.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.ColumnType: + return ct.FloatType() + + +class Cot(Function): + """ + cot(expr) - Compute the cotangent of expr. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Cot.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.ColumnType: + return ct.FloatType() + + +class Count(Function): + """ + Counts the number of non-null values in the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Count.register # type: ignore +def infer_type( + *args: ct.ColumnType, +) -> ct.BigIntType: + return ct.BigIntType() + + +class CountIf(Function): + """ + count_if(expr) - Returns the number of true values in expr. + """ + + is_aggregation = True + + +@CountIf.register # type: ignore +def infer_type(arg: ct.BooleanType) -> ct.IntegerType: + return ct.IntegerType() # pragma: no cover + + +class CountMinSketch(Function): + """ + count_min_sketch(col, eps, confidence, seed) - Creates a Count-Min sketch of col. + """ + + +@CountMinSketch.register # type: ignore +def infer_type( + arg1: ct.ColumnType, + arg2: ct.FloatType, + arg3: ct.FloatType, + arg4: ct.IntegerType, +) -> ct.ColumnType: + return ct.BinaryType() + + +class CovarPop(Function): + """ + covar_pop(expr1, expr2) - Returns the population covariance of expr1 and expr2. + """ + + is_aggregation = True + + +@CovarPop.register # type: ignore +def infer_type( + arg1: ct.NumberType, + arg2: ct.NumberType, +) -> ct.ColumnType: + return ct.FloatType() + + +class CovarSamp(Function): + """ + covar_samp(expr1, expr2) - Returns the sample covariance of expr1 and expr2. + """ + + is_aggregation = True + + +@CovarSamp.register # type: ignore +def infer_type(arg1: ct.NumberType, arg2: ct.NumberType) -> ct.ColumnType: + return ct.FloatType() + + +class Crc32(Function): + """ + crc32(expr) - Computes a cyclic redundancy check value and returns the result as a bigint. + """ + + +@Crc32.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.ColumnType: + return ct.BigIntType() + + +class Csc(Function): + """ + csc(expr) - Computes the cosecant of expr. + """ + + +@Csc.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.ColumnType: + return ct.FloatType() + + +class CumeDist(Function): + """ + cume_dist() - Computes the cumulative distribution of a value within a group of values. + """ + + +@CumeDist.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.FloatType() + + +class Curdate(Function): + """ + curdate() - Returns the current date. + """ + + +@Curdate.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.DateType() + + +class CurrentCatalog(Function): + """ + current_catalog() - Returns the current catalog. + """ + + +@CurrentCatalog.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.StringType() + + +class CurrentDatabase(Function): + """ + current_database() - Returns the current database. + """ + + +@CurrentDatabase.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.StringType() + + +class CurrentDate(Function): + """ + Returns the current date. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@CurrentDate.register # type: ignore +def infer_type() -> ct.DateType: + return ct.DateType() + + +class CurrentSchema(Function): + """ + current_schema() - Returns the current schema. + """ + + +@CurrentSchema.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.StringType() + + +class CurrentTime(Function): + """ + Returns the current time. + """ + + +@CurrentTime.register # type: ignore +def infer_type() -> ct.TimeType: + return ct.TimeType() + + +class CurrentTimestamp(Function): + """ + Returns the current timestamp. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@CurrentTimestamp.register # type: ignore +def infer_type() -> ct.TimestampType: + return ct.TimestampType() + + +class CurrentTimezone(Function): + """ + current_timezone() - Returns the current timezone. + """ + + +@CurrentTimezone.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.StringType() + + +class CurrentUser(Function): + """ + current_user() - Returns the current user. + """ + + +@CurrentUser.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.StringType() + + +class Date(Function): + """ + date(expr) - Converts expr to date. + """ + + +@Date.register # type: ignore +def infer_type(arg: Union[ct.StringType, ct.TimestampType]) -> ct.ColumnType: + return ct.DateType() + + +class DateAdd(Function): + """ + date_add(date|timestamp|str, int) - Adds a specified number of days to a date. + """ + + dialects = [Dialect.SPARK] + + +@DateAdd.register # type: ignore +def infer_type( + start_date: ct.DateType, + days: ct.IntegerBase, +) -> ct.DateType: + return ct.DateType() + + +@DateAdd.register # type: ignore +def infer_type( + start_date: ct.TimestampType, + days: ct.IntegerBase, +) -> ct.DateType: + return ct.DateType() + + +@DateAdd.register # type: ignore +def infer_type( + start_date: ct.StringType, + days: ct.IntegerBase, +) -> ct.DateType: + return ct.DateType() + + +class Datediff(Function): + """ + Computes the difference in days between two dates. + """ + + +@Datediff.register # type: ignore +def infer_type( + start_date: ct.DateType, + end_date: ct.DateType, +) -> ct.IntegerType: + return ct.IntegerType() + + +@Datediff.register # type: ignore +def infer_type( + start_date: ct.StringType, + end_date: ct.StringType, +) -> ct.IntegerType: + return ct.IntegerType() + + +@Datediff.register # type: ignore +def infer_type( + start_date: ct.TimestampType, + end_date: ct.TimestampType, +) -> ct.IntegerType: + return ct.IntegerType() + + +@Datediff.register # type: ignore +def infer_type( + start_date: ct.IntegerType, + end_date: ct.IntegerType, +) -> ct.IntegerType: + return ct.IntegerType() # pragma: no cover + + +class DateFromUnixDate(Function): + """ + date_from_unix_date(expr) - Converts the number of days from epoch (1970-01-01) to a date. + """ + + +@DateFromUnixDate.register # type: ignore +def infer_type(arg: ct.IntegerType) -> ct.ColumnType: + return ct.DateType() + + +class DateFormat(Function): + """ + date_format(timestamp, fmt) - Converts timestamp to a value of string + in the format specified by the date format fmt. + """ + + +@DateFormat.register # type: ignore +def infer_type( + timestamp: ct.TimestampType, + fmt: ct.StringType, +) -> ct.StringType: + return ct.StringType() + + +class DatePart(Function): + """ + date_part(field, source) - Extracts a part of the date or time given. + """ + + +@DatePart.register # type: ignore +def infer_type( + arg1: ct.StringType, + arg2: Union[ct.DateType, ct.TimestampType], +) -> ct.ColumnType: + # The output can be integer, float, or string depending on the part extracted. + # Here we assume the output is an integer for simplicity. Adjust as needed. + return ct.IntegerType() + + +class DateSub(Function): + """ + Subtracts a specified number of days from a date. + """ + + +@DateSub.register # type: ignore +def infer_type( + start_date: ct.DateType, + days: ct.IntegerBase, +) -> ct.DateType: + return ct.DateType() + + +@DateSub.register # type: ignore +def infer_type( + start_date: ct.StringType, + days: ct.IntegerBase, +) -> ct.DateType: + return ct.DateType() + + +class Day(Function): + """ + Returns the day of the month for a specified date. + """ + + +@Day.register # type: ignore +def infer_type( + arg: Union[ct.StringType, ct.DateType, ct.TimestampType], +) -> ct.IntegerType: # type: ignore + return ct.IntegerType() + + +class Dayofmonth(Function): + """ + dayofmonth(date) - Extracts the day of the month of a given date. + """ + + +@Dayofmonth.register # type: ignore +def infer_type( + arg: Union[ct.DateType, ct.StringType], +) -> ct.ColumnType: + return ct.IntegerType() + + +class Dayofweek(Function): + """ + dayofweek(date) - Extracts the day of the week of a given date. + """ + + +@Dayofweek.register # type: ignore +def infer_type( + arg: Union[ct.DateType, ct.StringType], +) -> ct.ColumnType: + return ct.IntegerType() + + +class Dayofyear(Function): + """ + dayofyear(date) - Extracts the day of the year of a given date. + """ + + +@Dayofyear.register # type: ignore +def infer_type( + arg: Union[ct.DateType, ct.StringType], +) -> ct.ColumnType: + return ct.IntegerType() + + +class Decimal(Function): + """ + decimal(expr, precision, scale) - Converts expr to a decimal number. + """ + + +@Decimal.register # type: ignore +def infer_type( + arg1: Union[ct.IntegerType, ct.FloatType, ct.StringType], +) -> ct.ColumnType: + return ct.DecimalType(8, 6) + + +class Decode(Function): + """ + decode(bin, charset) - Decodes the first argument using the second argument + character set. + + TODO: decode(expr, search, result [, search, result ] ... [, default]) - Compares + expr to each search value in order. If expr is equal to a search value, decode + returns the corresponding result. If no match is found, then it returns default. + If default is omitted, it returns null. + """ + + +@Decode.register # type: ignore +def infer_type(arg1: ct.BinaryType, arg2: ct.StringType) -> ct.ColumnType: + return ct.StringType() + + +class Degrees(Function): + """ + degrees(expr) - Converts radians to degrees. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Degrees.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.ColumnType: + return ct.FloatType() + + +class DenseRank(Function): + """ + dense_rank() - Computes the dense rank of a value in a group of values. + """ + + +@DenseRank.register +def infer_type() -> ct.IntegerType: + return ct.IntegerType() + + +@DenseRank.register +def infer_type(_: ct.ColumnType) -> ct.IntegerType: + return ct.IntegerType() + + +class Div(Function): + """ + expr1 div expr2 - Divide expr1 by expr2. It returns NULL if an operand is NULL or + expr2 is 0. The result is casted to long. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Div.register +def infer_type(expr1: ct.NumberType, expr2: ct.NumberType) -> ct.LongType: + return ct.LongType() + + +class SafeDivide(Function): + """ + safe_divide(expr1, expr2) - Divides expr1 by expr2, returning NULL if expr2 is 0. + + This is safer than regular division with NULLIF for some engines like Druid + where the division may be evaluated before the null check. + """ + + dialects = [Dialect.DRUID] + is_aggregation = False + + +@SafeDivide.register +def infer_type(expr1: ct.NumberType, expr2: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() # pragma: no cover + + +class Double(Function): + """ + double(expr) - Converts expr to a double precision floating-point number. + """ + + +@Double.register # type: ignore +def infer_type( + arg: Union[ct.IntegerType, ct.FloatType, ct.StringType], +) -> ct.ColumnType: + return ct.DoubleType() + + +class E(Function): + """ + e() - Returns the mathematical constant e. + """ + + +@E.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.FloatType() + + +class ElementAt(Function): + """ + element_at(array, index) - Returns element of array at given (1-based) index + element_at(map, key) - Returns value for given key. + """ + + +@ElementAt.register +def infer_type( + array: ct.ListType, + _: ct.NumberType, +) -> ct.ColumnType: + return array.type.element.type + + +@ElementAt.register +def infer_type( + map_arg: ct.MapType, + _: ct.NumberType, +) -> ct.ColumnType: + return map_arg.type.value.type + + +class Elt(Function): + """ + elt(n, input1, input2, ...) - Returns the n-th input, e.g., returns input2 when n is 2. + """ + + +@Elt.register # type: ignore +def infer_type(arg1: ct.IntegerType, *args: ct.ColumnType) -> ct.ColumnType: + return args[0].type + + +class Encode(Function): + """ + encode(str, charset) - Encodes str into the provided charset. + """ + + +@Encode.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.StringType() + + +class Endswith(Function): + """ + endswith(str, substr) - Returns true if str ends with substr. + """ + + +@Endswith.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.BooleanType() + + +class EqualNull(Function): + """ + equal_null(expr1, expr2) - Returns true if expr1 and expr2 are equal or both are null. + """ + + +@EqualNull.register # type: ignore +def infer_type(arg1: ct.ColumnType, arg2: ct.ColumnType) -> ct.ColumnType: + return ct.BooleanType() + + +class Every(Function): + """ + every(expr) - Returns true if all values are true. + """ + + is_aggregation = True + + +@Every.register # type: ignore +def infer_type(arg: ct.BooleanType) -> ct.ColumnType: + return ct.BooleanType() + + +class Exists(Function): + """ + exists(expr, pred) - Tests whether a predicate holds for one or more + elements in the array. + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `filter` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + expr, func = args + if len(func.identifiers) != 1: + raise DJParseException( # pragma: no cover + message="The function `exists` takes a lambda function that takes at " + "most one argument.", + ) + lambda_arg_col = [ + col + for col in func.expr.find_all(ast.Column) + if col.alias_or_name.name == func.identifiers[0].name + ][0] + lambda_arg_col.add_type(expr.type.element.type) + + +@Exists.register # type: ignore +def infer_type( + expr: ct.ListType, + pred: ct.BooleanType, +) -> ct.ColumnType: + return ct.BooleanType() + + +class Exp(Function): + """ + Returns e to the power of expr. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Exp.register # type: ignore +def infer_type( + args: ct.ColumnType, +) -> ct.DoubleType: + return ct.DoubleType() + + +class Explode(Function): + """ + explode(expr) - Returns a new row for each element in the given array or map. + """ + + +@Explode.register # type: ignore +def infer_type(arg: ct.ListType) -> ct.ColumnType: + return arg.type.element.type # pragma: no cover + + +@Explode.register # type: ignore +def infer_type(arg: ct.MapType) -> ct.ColumnType: + return arg.type.value.type # pragma: no cover + + +class ExplodeOuter(Function): + """ + explode_outer(expr) - Similar to explode, but returns null if the array/map is null or empty. + """ + + +@ExplodeOuter.register # type: ignore +def infer_type(arg: ct.ListType) -> ct.ColumnType: + return arg.type.element.type + + +@ExplodeOuter.register # type: ignore +def infer_type(arg: ct.MapType) -> ct.ColumnType: + return arg.type.value.type + + +class Expm1(Function): + """ + expm1(expr) - Calculates e^x - 1. + """ + + +@Expm1.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.ColumnType: + return ct.FloatType() + + +class Extract(Function): + """ + Returns a specified component of a timestamp, such as year, month or day. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + @staticmethod + def infer_type( # type: ignore + field: "Expression", + source: "Expression", + ) -> Union[ct.DecimalType, ct.IntegerType]: + if str(field.name) == "SECOND": # type: ignore + return ct.DecimalType(8, 6) + return ct.IntegerType() + + +class Factorial(Function): + """ + factorial(expr) - Returns the factorial of the number. + """ + + +@Factorial.register # type: ignore +def infer_type(arg: ct.IntegerType) -> ct.ColumnType: + return ct.IntegerType() + + +class Filter(Function): + """ + Filter an array. + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `filter` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + expr, func = args + if len(func.identifiers) > 2: + raise DJParseException( + message="The function `filter` takes a lambda function that takes at " + "most two arguments.", + ) + for col in func.expr.find_all(ast.Column): + if ( # pragma: no cover + col.alias_or_name.namespace + and col.alias_or_name.namespace.name + and func.identifiers[0].name == col.alias_or_name.namespace.name + ) or func.identifiers[0].name == col.alias_or_name.name: + col.add_type(expr.type.element.type) + if ( + len(func.identifiers) == 2 + and col.alias_or_name.name == func.identifiers[1].name + ): + col.add_type(ct.LongType()) + + +@Filter.register # type: ignore +def infer_type( + arg: Union[ct.ListType, ct.PrimitiveType], + func: ct.PrimitiveType, +) -> ct.ListType: + return arg.type # type: ignore + + +class FindInSet(Function): + """ + find_in_set(str, str_list) - Returns the index of the first occurrence of str in str_list. + """ + + +@FindInSet.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.IntegerType() + + +class First(Function): + """ + Returns the first value of expr for a group of rows. If isIgnoreNull is + true, returns only non-null values. + """ + + is_aggregation = True + + +@First.register +def infer_type( + arg: ct.ColumnType, +) -> ct.ColumnType: + return arg.type + + +@First.register +def infer_type( + arg: ct.ColumnType, + is_ignore_null: ct.BooleanType, +) -> ct.ColumnType: + return arg.type + + +class FirstValue(Function): + """ + Returns the first value of expr for a group of rows. If isIgnoreNull is + true, returns only non-null values. + """ + + is_aggregation = True + + +@FirstValue.register +def infer_type( + arg: ct.ColumnType, +) -> ct.ColumnType: + return arg.type + + +@FirstValue.register +def infer_type( + arg: ct.ColumnType, + is_ignore_null: ct.BooleanType, +) -> ct.ColumnType: + return arg.type + + +class Flatten(Function): + """ + Flatten an array. + """ + + +@Flatten.register # type: ignore +def infer_type( + array: ct.ListType, +) -> ct.ListType: + return array.type.element.type # type: ignore + + +class Float(Function): + """ + float(expr) - Casts the value expr to the target data type float. + """ + + +@Float.register # type: ignore +def infer_type(arg: Union[ct.NumberType, ct.StringType]) -> ct.FloatType: + return ct.FloatType() + + +class Floor(Function): + """ + Returns the largest integer less than or equal to a specified number. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Floor.register # type: ignore +def infer_type( + args: ct.DecimalType, +) -> ct.DecimalType: + return ct.DecimalType(args.type.precision - args.type.scale + 1, 0) + + +@Floor.register # type: ignore +def infer_type( + args: ct.NumberType, +) -> ct.BigIntType: + return ct.BigIntType() + + +@Floor.register # type: ignore +def infer_type( + args: ct.NumberType, + _target_scale: ct.IntegerType, +) -> ct.DecimalType: + target_scale = _target_scale.value + if isinstance(args.type, ct.DecimalType): + precision = max(args.type.precision - args.type.scale + 1, -target_scale + 1) + scale = min(args.type.scale, max(0, target_scale)) + return ct.DecimalType(precision, scale) + if args.type == ct.TinyIntType(): + precision = max(3, -target_scale + 1) + return ct.DecimalType(precision, 0) + if args.type == ct.SmallIntType(): + precision = max(5, -target_scale + 1) + return ct.DecimalType(precision, 0) + if args.type == ct.IntegerType(): + precision = max(10, -target_scale + 1) + return ct.DecimalType(precision, 0) + if args.type == ct.BigIntType(): + precision = max(20, -target_scale + 1) + return ct.DecimalType(precision, 0) + if args.type == ct.FloatType(): + precision = max(14, -target_scale + 1) + scale = min(7, max(0, target_scale)) + return ct.DecimalType(precision, scale) + if args.type == ct.DoubleType(): + precision = max(30, -target_scale + 1) + scale = min(15, max(0, target_scale)) + return ct.DecimalType(precision, scale) + + raise DJParseException( + f"Unhandled numeric type in Floor `{args.type}`", + ) # pragma: no cover + + +class Forall(Function): + """ + forall(expr, predicate) - Returns true if a given predicate holds for all elements of an array. + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `filter` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + expr, func = args + if len(func.identifiers) != 1: + raise DJParseException( # pragma: no cover + message="The function `forall` takes a lambda function that takes at " + "most one argument.", + ) + lambda_arg_col = [ + col + for col in func.expr.find_all(ast.Column) + if col.alias_or_name.name == func.identifiers[0].name + ][0] + lambda_arg_col.add_type(expr.type.element.type) + + +@Forall.register # type: ignore +def infer_type(arg1: ct.ListType, arg2: ct.BooleanType) -> ct.ColumnType: + return ct.BooleanType() + + +class FormatNumber(Function): + """ + format_number(x, d) - Formats the number x to a format like '#,###,###.##', + rounded to d decimal places. + """ + + +@FormatNumber.register # type: ignore +def infer_type(arg1: ct.FloatType, arg2: ct.IntegerType) -> ct.StringType: + return ct.StringType() + + +@FormatNumber.register # type: ignore +def infer_type(arg1: ct.FloatType, arg2: ct.StringType) -> ct.StringType: + return ct.StringType() + + +class FormatString(Function): + """ + format_string(format, ...) - Formats the arguments in printf-style. + """ + + +@FormatString.register # type: ignore +def infer_type(arg1: ct.StringType, *args: ct.PrimitiveType) -> ct.StringType: + return ct.StringType() + + +class FromCsv(Function): + """ + from_csv(csvStr, schema, options) - Parses a CSV string and returns a struct. + """ + + +@FromCsv.register # type: ignore +def infer_type( + arg1: ct.StringType, + schema: ct.StringType, + arg3: Optional[ct.MapType] = None, +) -> ct.ColumnType: + # TODO: Handle options? + from datajunction_server.sql.parsing.backends.antlr4 import ( + parse_rule, + ) # pragma: no cover + + return ct.StructType( + *parse_rule(schema.value, "complexColTypeList"), + ) # pragma: no cover + + +class FromJson(Function): # pragma: no cover + """ + Converts a JSON string to a struct or map. + """ + + +@FromJson.register # type: ignore +def infer_type( + json: ct.StringType, + schema: ct.StringType, + options: Optional[Function] = None, +) -> ct.StructType: + from datajunction_server.sql.parsing.backends.antlr4 import parse_rule + + schema_type = re.sub(r"^'(.*)'$", r"\1", schema.value) + try: + return parse_rule(schema_type, "dataType") + except DJParseException: + return ct.StructType(*parse_rule(schema_type, "complexColTypeList")) + + +class FromUnixtime(Function): + """ + from_unixtime(unix_time, format) - Converts the number of seconds from the Unix + epoch to a string representing the timestamp. + """ + + +@FromUnixtime.register # type: ignore +def infer_type(arg1: ct.IntegerType, arg2: ct.StringType) -> ct.ColumnType: + return ct.StringType() + + +class FromUtcTimestamp(Function): + """ + from_utc_timestamp(timestamp, timezone) - Renders that time as a timestamp + in the given time zone. + """ + + +@FromUtcTimestamp.register # type: ignore +def infer_type(arg1: ct.TimestampType, arg2: ct.StringType) -> ct.ColumnType: + return ct.TimestampType() + + +@FromUtcTimestamp.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.TimestampType() + + +class Get(Function): + """ + get(expr, index) - Retrieves an element from an array at the specified + index or retrieves a value from a map for the given key. + """ + + +@Get.register # type: ignore +def infer_type(arg1: ct.ListType, arg2: ct.IntegerType) -> ct.ColumnType: + return arg1.type.element.type + + +class GetJsonObject(Function): + """ + get_json_object(jsonString, path) - Extracts a JSON object from a JSON + string based on the JSON path specified. + """ + + +@GetJsonObject.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.StringType() + + +class GetBit(Function): + """ + getbit(expr, pos) - Returns the value of the bit (0 or 1) at the specified position. + """ + + +@GetBit.register # type: ignore +def infer_type(arg1: ct.IntegerType, arg2: ct.IntegerType) -> ct.ColumnType: + return ct.IntegerType() + + +class Greatest(Function): + """ + greatest(expr, ...) - Returns the greatest value of all parameters, skipping null values. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Greatest.register # type: ignore +def infer_type( + *values: ct.NumberType, +) -> ct.ColumnType: + return values[0].type + + +class Grouping(Function): + """ + grouping(col) - Returns 1 if the specified column is aggregated, and 0 otherwise. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Grouping.register # type: ignore +def infer_type(arg: ct.ColumnType) -> ct.ColumnType: + return ct.IntegerType() + + +class GroupingId(Function): + """ + grouping_id(cols) - Returns a bit vector with a bit for each grouping column. + """ + + +@GroupingId.register # type: ignore +def infer_type(*args: ct.ColumnType) -> ct.ColumnType: + return ct.BigIntType() + + +class Hash(Function): + """ + hash(args) - Returns a hash value of the arguments. + """ + + +@Hash.register # type: ignore +def infer_type(*args: ct.ColumnType) -> ct.ColumnType: + return ct.IntegerType() + + +class Hex(Function): + """ + hex(expr) - Converts a number or a string to a hexadecimal string. + """ + + +@Hex.register # type: ignore +def infer_type(arg: Union[ct.IntegerType, ct.StringType]) -> ct.ColumnType: + return ct.StringType() + + +class HistogramNumeric(Function): + """ + histogram_numeric(col, numBins) - Generates a histogram using a series of buckets + defined by equally spaced width intervals. + """ + + +@HistogramNumeric.register # type: ignore +def infer_type(arg1: ct.ColumnType, arg2: ct.IntegerType) -> ct.ColumnType: + # assuming that there's a StructType for the bin and frequency + from datajunction_server.sql.parsing import ast + + return ct.ListType( + element_type=ct.StructType( + ct.NestedField(ast.Name("x"), ct.FloatType()), + ct.NestedField(ast.Name("y"), ct.FloatType()), + ), + ) + + +class Hour(Function): + """ + hour(timestamp) - Extracts the hour from a timestamp. + """ + + +@Hour.register # type: ignore +def infer_type( + arg: Union[ct.TimestampType, ct.StringType], +) -> ct.ColumnType: + return ct.IntegerType() + + +class Hypot(Function): + """ + hypot(a, b) - Returns sqrt(a^2 + b^2) without intermediate overflow or underflow. + """ + + +@Hypot.register # type: ignore +def infer_type(arg1: ct.NumberType, arg2: ct.NumberType) -> ct.ColumnType: + return ct.FloatType() + + +class If(Function): + """ + If statement + + if(condition, result, else_result): if condition evaluates to true, + then returns result; otherwise returns else_result. + """ + + +@If.register # type: ignore +def infer_type( + cond: ct.BooleanType, + then: ct.ColumnType, + else_: ct.ColumnType, +) -> ct.ColumnType: + if not then.type.is_compatible(else_.type): + raise DJInvalidInputException( + message="The then result and else result must match in type! " + f"Got {then.type} and {else_.type}", + ) + if then.type == ct.NullType(): + return else_.type + return then.type + + +class IfNull(Function): + """ + Returns the second expression if the first is null, else returns the first expression. + """ + + +@IfNull.register +def infer_type(*args: ct.ColumnType) -> ct.ColumnType: + return args[0].type if args[1].type == ct.NullType() else args[1].type + + +class ILike(Function): + """ + ilike(str, pattern) - Performs case-insensitive LIKE match. + """ + + +@ILike.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.BooleanType() + + +class InitCap(Function): + """ + initcap(str) - Converts the first letter of each word in the string to uppercase + and the rest to lowercase. + """ + + +@InitCap.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.ColumnType: + return ct.StringType() + + +class Inline(Function): + """ + inline(array_of_struct) - Explodes an array of structs into a table. + """ + + +@Inline.register # type: ignore +def infer_type(arg: ct.ListType) -> ct.ColumnType: + # The output type is the type of the struct's fields + return arg.type.element.type + + +class InlineOuter(Function): + """ + inline_outer(array_of_struct) - Similar to inline, but includes nulls if the size + of the array is less than the size of the outer array. + """ + + +@InlineOuter.register # type: ignore +def infer_type(arg: ct.ListType) -> ct.ColumnType: + # The output type is the type of the struct's fields + return arg.type.element.type + + +class InputFileBlockLength(Function): + """ + input_file_block_length() - Returns the length of the current block being read from HDFS. + """ + + +@InputFileBlockLength.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.LongType() + + +class InputFileBlockStart(Function): + """ + input_file_block_start() - Returns the start offset of the current block being read from HDFS. + """ + + +@InputFileBlockStart.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.LongType() + + +class InputFileName(Function): + """ + input_file_name() - Returns the name of the current file being read from HDFS. + """ + + +@InputFileName.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.StringType() + + +class Instr(Function): + """ + instr(str, substring) - Returns the position of the first occurrence of substring in string. + """ + + +@Instr.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.IntegerType() + + +class Int(Function): + """ + int(expr) - Casts the value expr to the target data type int. + """ + + +@Int.register # type: ignore +def infer_type( + arg: ct.ColumnType, +) -> ct.ColumnType: + return ct.IntegerType() + + +class Isnan(Function): + """ + isnan(expr) - Tests if a value is NaN. + """ + + +@Isnan.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.ColumnType: + return ct.BooleanType() + + +class Isnotnull(Function): + """ + isnotnull(expr) - Tests if a value is not null. + """ + + +@Isnotnull.register # type: ignore +def infer_type(arg: ct.ColumnType) -> ct.ColumnType: + return ct.BooleanType() + + +class Isnull(Function): + """ + isnull(expr) - Tests if a value is null. + """ + + +@Isnull.register # type: ignore +def infer_type(arg: ct.ColumnType) -> ct.ColumnType: + return ct.BooleanType() + + +class JsonArrayLength(Function): + """ + json_array_length(jsonArray) - Returns the length of the JSON array. + """ + + +@JsonArrayLength.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.ColumnType: + return ct.IntegerType() + + +class JsonObjectKeys(Function): + """ + json_object_keys(jsonObject) - Returns all the keys of the JSON object. + """ + + +@JsonObjectKeys.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.ColumnType: + return ct.ListType(element_type=ct.StringType()) + + +class JsonTuple(Function): + """ + json_tuple(json_str, path1, path2, ...) - Extracts multiple values from a JSON object. + """ + + +@JsonTuple.register # type: ignore +def infer_type(json_str: ct.StringType, *paths: ct.StringType) -> ct.ColumnType: + # assuming that there's a TupleType for the extracted values + return ct.ListType(element_type=ct.StringType()) + + +class Kurtosis(Function): + """ + kurtosis(expr) - Returns the kurtosis of the values in a group. + """ + + +@Kurtosis.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class Lag(Function): + """ + lag(expr[, offset[, default]]) - Returns the value that is `offset` rows + before the current row in a window partition. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Lag.register # type: ignore +def infer_type( + arg: ct.ColumnType, + offset: Optional[ct.IntegerType] = None, + default: Optional[ct.ColumnType] = None, +) -> ct.ColumnType: + # The output type is the same as the input expression's type + return arg.type + + +class Last(Function): + """ + last(expr[, ignoreNulls]) - Returns the last value of `expr` for a group of rows. + """ + + is_aggregation = True + + +@Last.register # type: ignore +def infer_type( + arg: ct.ColumnType, + ignore_nulls: Optional[ct.BooleanType] = None, +) -> ct.ColumnType: + # The output type is the same as the input expression's type + return arg.type + + +class LastDay(Function): + """ + last_day(date) - Returns the last day of the month which the date belongs to. + """ + + +@LastDay.register # type: ignore +def infer_type(arg: Union[ct.DateType, ct.StringType]) -> ct.ColumnType: + return ct.DateType() + + +class LastValue(Function): + """ + last_value(expr[, ignoreNulls]) - Returns the last value in an ordered set of values. + """ + + is_aggregation = True + + +@LastValue.register # type: ignore +def infer_type( + arg: ct.ColumnType, + ignore_nulls: Optional[ct.BooleanType] = None, +) -> ct.ColumnType: + # The output type is the same as the input expression's type + return arg.type + + +class Lcase(Function): + """ + lcase(str) - Converts the string to lowercase. + """ + + +@Lcase.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.ColumnType: + return ct.StringType() + + +class Lead(Function): + """ + lead(expr[, offset[, default]]) - Returns the value that is `offset` + rows after the current row in a window partition. + """ + + +@Lead.register # type: ignore +def infer_type( + arg: ct.ColumnType, + offset: Optional[ct.IntegerType] = None, + default: Optional[ct.ColumnType] = None, +) -> ct.ColumnType: + # The output type is the same as the input expression's type + return arg.type + + +class Least(Function): + """ + least(expr1, expr2, ...) - Returns the smallest value of the list of values. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Least.register # type: ignore +def infer_type(*args: ct.ColumnType) -> ct.ColumnType: + # The output type is the same as the input expressions' type + # Assuming all input expressions have the same type + return args[0].type + + +class Left(Function): + """ + left(str, len) - Returns the leftmost `len` characters from the string. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Left.register # type: ignore +def infer_type( + arg1: ct.StringType, + arg2: ct.IntegerType, +) -> ct.StringType: + return ct.StringType() # pragma: no cover # see test_left_func + + +class Len(Function): + """ + len(str) - Returns the length of the string. + """ + + +@Len.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.IntegerType: + return ct.IntegerType() + + +class Length(Function): + """ + Returns the length of a string. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Length.register # type: ignore +def infer_type( + arg: ct.StringType, +) -> ct.IntegerType: + return ct.IntegerType() + + +class Levenshtein(Function): + """ + Returns the Levenshtein distance between two strings. + """ + + +@Levenshtein.register # type: ignore +def infer_type( + string1: ct.StringType, + string2: ct.StringType, +) -> ct.IntegerType: + return ct.IntegerType() + + +class Like(Function): + """ + like(str, pattern) - Performs pattern matching using SQL's LIKE operator. + """ + + +@Like.register # type: ignore +def infer_type(arg1: ct.StringType, arg2: ct.StringType) -> ct.ColumnType: + return ct.BooleanType() + + +class Ln(Function): + """ + Returns the natural logarithm of a number. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Ln.register # type: ignore +def infer_type( + args: ct.ColumnType, +) -> ct.DoubleType: + return ct.DoubleType() + + +class Localtimestamp(Function): + """ + localtimestamp() - Returns the current timestamp at the system's local time zone. + """ + + +@Localtimestamp.register # type: ignore +def infer_type() -> ct.ColumnType: + return ct.TimestampType() + + +class Locate(Function): + """ + locate(substr, str[, pos]) - Returns the position of the first occurrence of substr in str. + """ + + +@Locate.register # type: ignore +def infer_type( + arg1: ct.StringType, + arg2: ct.StringType, + pos: Optional[ct.IntegerType] = None, +) -> ct.ColumnType: + return ct.IntegerType() + + +class Log(Function): + """ + Returns the logarithm of a number with the specified base. + """ + + +@Log.register # type: ignore +def infer_type( + base: ct.ColumnType, + expr: ct.ColumnType, +) -> ct.DoubleType: + return ct.DoubleType() + + +class Log10(Function): + """ + Returns the base-10 logarithm of a number. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Log10.register # type: ignore +def infer_type( + args: ct.ColumnType, +) -> ct.DoubleType: + return ct.DoubleType() + + +class Log1p(Function): + """ + log1p(expr) - Returns the natural logarithm of the given value plus one. + """ + + +@Log1p.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class Log2(Function): + """ + Returns the base-2 logarithm of a number. + """ + + +@Log2.register # type: ignore +def infer_type( + args: ct.ColumnType, +) -> ct.DoubleType: + return ct.DoubleType() + + +class Lower(Function): + """ + Converts a string to lowercase. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + @staticmethod + def infer_type(arg: "Expression") -> ct.StringType: # type: ignore + return ct.StringType() + + +class Lpad(Function): + """ + lpad(str, len[, pad]) - Left-pads the string with pad to a length of len. + If str is longer than len, the return value is shortened to len characters. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Lpad.register # type: ignore +def infer_type( + arg1: ct.StringType, + arg2: ct.IntegerType, + pad: Optional[ct.StringType] = None, +) -> ct.StringType: + return ct.StringType() + + +class Ltrim(Function): + """ + ltrim(str[, trimStr]) - Trims the spaces from left end of the string. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Ltrim.register # type: ignore +def infer_type( + arg1: ct.StringType, + trim_str: Optional[ct.StringType] = None, +) -> ct.StringType: + return ct.StringType() + + +class MakeDate(Function): + """ + make_date(year, month, day) - Creates a date from the given year, month, and day. + """ + + +@MakeDate.register # type: ignore +def infer_type( + year: ct.IntegerType, + month: ct.IntegerType, + day: ct.IntegerType, +) -> ct.ColumnType: + return ct.DateType() + + +class MakeDtInterval(Function): + """ + make_dt_interval(days, hours, mins, secs) - Returns a day-time interval. + """ + + +@MakeDtInterval.register # type: ignore +def infer_type( + days: ct.IntegerType, + hours: ct.IntegerType, + mins: ct.IntegerType, + secs: ct.IntegerType, +) -> ct.DayTimeIntervalType: + return ct.DayTimeIntervalType() + + +class MakeInterval(Function): + """ + make_interval(years, months) - Returns a year-month interval. + """ + + +@MakeInterval.register # type: ignore +def infer_type( + years: ct.IntegerType, + months: ct.IntegerType, +) -> ct.YearMonthIntervalType: + return ct.YearMonthIntervalType() + + +class MakeTimestamp(Function): + """ + make_timestamp(year, month, day, hour, min, sec) - Returns a timestamp + made from the arguments. + """ + + +@MakeTimestamp.register # type: ignore +def infer_type( + year: ct.IntegerType, + month: ct.IntegerType, + day: ct.IntegerType, + hour: ct.IntegerType, + min_: ct.IntegerType, + sec: ct.IntegerType, +) -> ct.TimestampType: + return ct.TimestampType() + + +class MakeTimestampLtz(Function): + """ + make_timestamp_ltz(year, month, day, hour, min, sec, timezone) + Returns a timestamp with local time zone. + """ + + +@MakeTimestampLtz.register # type: ignore +def infer_type( + year: ct.IntegerType, + month: ct.IntegerType, + day: ct.IntegerType, + hour: ct.IntegerType, + min_: ct.IntegerType, + sec: ct.IntegerType, + timezone: Optional[ct.StringType] = None, +) -> ct.TimestampType: + return ct.TimestampType() + + +class MakeTimestampNtz(Function): + """ + make_timestamp_ntz(year, month, day, hour, min, sec) + Returns a timestamp without time zone. + """ + + +@MakeTimestampNtz.register # type: ignore +def infer_type( + year: ct.IntegerType, + month: ct.IntegerType, + day: ct.IntegerType, + hour: ct.IntegerType, + min_: ct.IntegerType, + sec: ct.IntegerType, +) -> ct.TimestampType: + return ct.TimestampType() + + +class MakeYmInterval(Function): + """ + make_ym_interval(years, months) - Returns a year-month interval. + """ + + +@MakeYmInterval.register # type: ignore +def infer_type( + years: ct.IntegerType, + months: ct.IntegerType, +) -> ct.YearMonthIntervalType: + return ct.YearMonthIntervalType() + + +class Map(Function): + """ + Returns a map of constants + """ + + +@Map.register # type: ignore +def infer_type( + *args: ct.ColumnType, +) -> ct.MapType: + return ct.MapType(key_type=args[0].type, value_type=args[1].type) + + +class MapConcat(Function): + """ + map_concat(map, ...) - Concatenates all the given maps into one. + """ + + +@MapConcat.register # type: ignore +def infer_type(*args: ct.MapType) -> ct.MapType: + return args[0].type + + +class MapContainsKey(Function): + """ + map_contains_key(map, key) - Returns true if the map contains the given key. + """ + + +@MapContainsKey.register # type: ignore +def infer_type(map_: ct.MapType, key: ct.ColumnType) -> ct.BooleanType: + return ct.BooleanType() + + +class MapEntries(Function): + """ + map_entries(map) - Returns an unordered array of all entries in the given map. + """ + + +@MapEntries.register # type: ignore +def infer_type(map_: ct.MapType) -> ct.ColumnType: + return ct.ListType( + element_type=ct.StructType( + ct.NestedField("key", field_type=map_.type.key.type), + ct.NestedField("value", field_type=map_.type.value.type), + ), + ) + + +class MapFilter(Function): + """ + map_filter(map, function) - Returns a map that only includes the entries that match the + given predicate. + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `map_filter` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + expr, func = args + if len(func.identifiers) != 2: + raise DJParseException( # pragma: no cover + message="The function `map_filter` takes a lambda function that takes " + "exactly two arguments.", + ) + identifiers = {iden.name: idx for idx, iden in enumerate(func.identifiers)} + lambda_arg_cols = { + identifiers[col.alias_or_name.name]: col + for col in func.expr.find_all(ast.Column) + if col.alias_or_name.name in identifiers + } + lambda_arg_cols[0].add_type(expr.type.key.type) + lambda_arg_cols[1].add_type(expr.type.value.type) + + +@MapFilter.register # type: ignore +def infer_type(map_: ct.MapType, function: ct.BooleanType) -> ct.MapType: + return map_.type + + +class MapFromArrays(Function): + """ + map_from_arrays(keys, values) - Creates a map from two arrays. + """ + + +@MapFromArrays.register # type: ignore +def infer_type(keys: ct.ListType, values: ct.ListType) -> ct.MapType: + return ct.MapType( + key_type=keys.type.element.type, + value_type=values.type.element.type, + ) + + +class MapFromEntries(Function): + """ + map_from_entries(array) - Creates a map from an array of entries. + """ + + +@MapFromEntries.register # type: ignore +def infer_type(array_of_entries: ct.ListType) -> ct.ColumnType: + entry = cast(ct.StructType, array_of_entries.type.element.type) + key, value = entry.fields + return ct.MapType(key_type=key.type, value_type=value.type) + + +class MapKeys(Function): + """ + map_keys(map) - Returns an unordered array containing the keys of the map. + """ + + +@MapKeys.register # type: ignore +def infer_type( + map_: ct.MapType, +) -> ct.ColumnType: + return ct.ListType(element_type=map_.type.key.type) + + +class MapValues(Function): + """ + map_values(map) - Returns an unordered array containing the values of the map. + """ + + +@MapValues.register # type: ignore +def infer_type(map_: ct.MapType) -> ct.ColumnType: + return ct.ListType(element_type=map_.type.value.type) + + +class MapZipWith(Function): + """ + map_zip_with(map1, map2, function) - Returns a merged map of two given maps by + applying function to the pair of values with the same key. + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `map_zip_with` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + map1, map2, func = args + available_identifiers = { + identifier.name: idx for idx, identifier in enumerate(func.identifiers) + } + columns = list( + func.expr.filter( + lambda x: isinstance(x, ast.Column) + and x.alias_or_name.name in available_identifiers, + ), + ) + for col in columns: + if available_identifiers.get(col.alias_or_name.name) == 0: + col.add_type(map1.type.key.type) # pragma: no cover + if available_identifiers.get(col.alias_or_name.name) == 1: + col.add_type(map1.type) + if available_identifiers.get(col.alias_or_name.name) == 2: + col.add_type(map2.type) + + +@MapZipWith.register # type: ignore +def infer_type( + map1: ct.MapType, + map2: ct.MapType, + function: ct.ColumnType, +) -> ct.ColumnType: + return map1.type + + +class Mask(Function): + """ + mask(input[, upperChar, lowerChar, digitChar, otherChar]) - masks the + given string value. The function replaces characters with 'X' or 'x', + and numbers with 'n'. This can be useful for creating copies of tables + with sensitive information removed. + """ + + +@Mask.register # type: ignore +def infer_type( + input_: ct.StringType, + upper: Optional[ct.StringType] = None, + lower: Optional[ct.StringType] = None, + digit: Optional[ct.StringType] = None, + other: Optional[ct.StringType] = None, +) -> ct.StringType: + return ct.StringType() + + +class Max(Function): + """ + Computes the maximum value of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Max.register # type: ignore +def infer_type( + arg: ct.StringType, +) -> ct.StringType: + return arg.type # pragma: no cover + + +@Max.register # type: ignore +def infer_type( + arg: ct.NumberType, +) -> ct.NumberType: + return arg.type # pragma: no cover + + +@Max.register # type: ignore +def infer_type( + arg: ct.DateType, +) -> ct.DateType: + return arg.type # pragma: no cover + + +@Max.register # type: ignore +def infer_type( + arg: ct.TimestampType, +) -> ct.TimestampType: + return arg.type # pragma: no cover + + +@Max.register # type: ignore +def infer_type( + arg: ct.BooleanType, +) -> ct.BooleanType: + return arg.type # pragma: no cover + + +class MaxBy(Function): + """ + max_by(val, key) - Returns the value of val corresponding to the maximum value of key. + """ + + is_aggregation = True + + +@MaxBy.register # type: ignore +def infer_type(val: ct.ColumnType, key: ct.ColumnType) -> ct.ColumnType: + return val.type + + +class Md5(Function): + """ + md5(expr) - Calculates the MD5 hash of the given value. + """ + + +@Md5.register # type: ignore +def infer_type(arg: ct.ColumnType) -> ct.ColumnType: + return ct.StringType() + + +class Mean(Function): + """ + mean(expr) - Returns the average of the values in the group. + """ + + +@Mean.register # type: ignore +def infer_type(arg: ct.ColumnType) -> ct.ColumnType: + return ct.DoubleType() + + +class Median(Function): + """ + median(expr) - Returns the median of the values in the group. + """ + + +@Median.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.ColumnType: + return ct.DoubleType() + + +# TODO: fix parsing of: +# SELECT median(col) FROM VALUES (INTERVAL '0' MONTH), +# (INTERVAL '10' MONTH) AS tab(col) +# in order to test this +@Median.register # type: ignore +def infer_type(arg: ct.IntervalTypeBase) -> ct.IntervalTypeBase: # pragma: no cover + return arg.type + + +class Min(Function): + """ + Computes the minimum value of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Min.register # type: ignore +def infer_type( + arg: ct.StringType, +) -> ct.StringType: + return arg.type # pragma: no cover + + +@Min.register # type: ignore +def infer_type( + arg: ct.NumberType, +) -> ct.NumberType: + return arg.type # pragma: no cover + + +@Min.register # type: ignore +def infer_type( + arg: ct.DateType, +) -> ct.DateType: + return arg.type # pragma: no cover + + +@Min.register # type: ignore +def infer_type( + arg: ct.TimestampType, +) -> ct.TimestampType: + return arg.type # pragma: no cover + + +class MinBy(Function): + """ + min_by(val, key) - Returns the value of val corresponding to the minimum value of key. + """ + + is_aggregation = True + + +@MinBy.register # type: ignore +def infer_type(val: ct.ColumnType, key: ct.ColumnType) -> ct.ColumnType: + return val.type + + +class Minute(Function): + """ + minute(timestamp) - Returns the minute component of the string/timestamp + """ + + +@Minute.register # type: ignore +def infer_type(val: Union[ct.StringType, ct.TimestampType]) -> ct.IntegerType: + return ct.IntegerType() + + +class Mod(Function): + """ + mod(expr1, expr2) - Returns the remainder after expr1/expr2. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Mod.register # type: ignore +def infer_type(expr1: ct.NumberType, expr2: ct.NumberType) -> ct.FloatType: + return ct.FloatType() + + +class Mode(Function): + """ + mode(col) - Returns the most frequent value for the values within col. + """ + + +@Mode.register # type: ignore +def infer_type(arg: ct.ColumnType) -> ct.ColumnType: + return arg.type + + +class MonotonicallyIncreasingId(Function): + """ + monotonically_increasing_id() - Returns monotonically increasing 64-bit integers + """ + + +@MonotonicallyIncreasingId.register # type: ignore +def infer_type() -> ct.BigIntType: + return ct.BigIntType() + + +class Month(Function): + """ + Extracts the month of a date or timestamp. + """ + + +@Month.register +def infer_type(arg: Union[ct.StringType, ct.DateTimeBase]) -> ct.BigIntType: + return ct.BigIntType() + + +class MonthsBetween(Function): + """ + months_between(timestamp1, timestamp2[, roundOff]) + """ + + +@MonthsBetween.register +def infer_type( + arg: Union[ct.StringType, ct.TimestampType], + arg2: Union[ct.StringType, ct.TimestampType], + arg3: Optional[ct.BooleanType] = None, +) -> ct.BigIntType: + return ct.FloatType() + + +class NamedStruct(Function): + """ + named_struct(name, val, ...) - Creates a new struct with the given field names and values. + """ + + +@NamedStruct.register # type: ignore +def infer_type(*args: ct.ColumnType) -> ct.ColumnType: + args_iter = iter(args) + nested_fields = [ + ct.NestedField( + name=field_name.value.replace("'", ""), + field_type=field_value.type, + ) + for field_name, field_value in zip(args_iter, args_iter) + ] + return ct.StructType(*nested_fields) + + +class Nanvl(Function): + """ + nanvl(expr1, expr2) - Returns the first argument if it is not NaN, + or the second argument if the first argument is NaN. + """ + + +@Nanvl.register # type: ignore +def infer_type(expr1: ct.NumberType, expr2: ct.NumberType) -> ct.NumberType: + return expr1.type + + +class Negative(Function): + """ + negative(expr) - Returns the negated value of the input expression. + """ + + +@Negative.register # type: ignore +def infer_type(arg: ct.NumberType) -> ct.NumberType: + return arg.type + + +class NextDay(Function): + """ + next_day(start_date, day_of_week) - Returns the first date which is + later than start_date and named as indicated. + """ + + +@NextDay.register # type: ignore +def infer_type( + date: Union[ct.DateType, ct.StringType], + day_of_week: ct.StringType, +) -> ct.ColumnType: + return ct.DateType() + + +class Not(Function): + """ + not(expr) - Returns the logical NOT of the Boolean expression. + """ + + +@Not.register # type: ignore +def infer_type(arg: ct.BooleanType) -> ct.ColumnType: + return ct.BooleanType() # pragma: no cover + + +class Now(Function): + """ + Returns the current timestamp. + """ + + +@Now.register # type: ignore +def infer_type() -> ct.TimestampType: + return ct.TimestampType() + + +class NthValue(Function): + """ + nth_value(input[, offset]) - Returns the value of input at the row + that is the offset-th row from beginning of the window frame + """ + + +@NthValue.register # type: ignore +def infer_type(expr: ct.ColumnType, offset: ct.IntegerType) -> ct.ColumnType: + return expr.type + + +class Ntile(Function): + """ + ntile(n) - Divides the rows for each window partition into n buckets + ranging from 1 to at most n. + """ + + +@Ntile.register # type: ignore +def infer_type(n_buckets: ct.IntegerType) -> ct.ColumnType: + return ct.IntegerType() + + +class Nullif(Function): + """ + nullif(expr1, expr2) - Returns null if expr1 equals expr2, or expr1 otherwise. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Nullif.register # type: ignore +def infer_type(expr1: ct.ColumnType, expr2: ct.ColumnType) -> ct.ColumnType: + return expr1.type + + +class Nvl(Function): + """ + nvl(expr1, expr2) - Returns the first argument if it is not null, or the + second argument if the first argument is null. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Nvl.register # type: ignore +def infer_type(expr1: ct.ColumnType, expr2: ct.ColumnType) -> ct.ColumnType: + return expr1.type + + +class Nvl2(Function): + """ + nvl2(expr1, expr2, expr3) - Returns expr3 if expr1 is null, or expr2 otherwise. + """ + + +@Nvl2.register # type: ignore +def infer_type( + expr1: ct.ColumnType, + expr2: ct.ColumnType, + expr3: ct.ColumnType, +) -> ct.ColumnType: + return expr1.type + + +class OctetLength(Function): + """ + octet_length(expr) - Returns the number of bytes in the input string. + """ + + +@OctetLength.register # type: ignore +def infer_type(expr: ct.StringType) -> ct.ColumnType: + return ct.IntegerType() + + +class Overlay(Function): + """ + overlay(expr1, expr2, start[, length]) - Replaces the substring of expr1 + specified by start (and optionally length) with expr2. + """ + + +@Overlay.register # type: ignore +def infer_type( + input_: ct.StringType, + replace: ct.StringType, + pos: ct.IntegerType, + length: Optional[ct.IntegerType] = None, +) -> ct.ColumnType: + return ct.StringType() + + +class Percentile(Function): + """ + percentile() - Computes the percentage ranking of a value in a group of values. + """ + + is_aggregation = True + + +@Percentile.register +def infer_type( + col: Union[ct.NumberType, ct.IntervalTypeBase], + percentage: ct.NumberType, +) -> ct.FloatType: + return ct.FloatType() # type: ignore + + +@Percentile.register +def infer_type( + col: Union[ct.NumberType, ct.IntervalTypeBase], + percentage: ct.NumberType, + freq: ct.IntegerType, +) -> ct.FloatType: + return ct.FloatType() # type: ignore + + +@Percentile.register +def infer_type( + col: Union[ct.NumberType, ct.IntervalTypeBase], + percentage: ct.ListType, +) -> ct.ListType: + return ct.ListType(element_type=ct.FloatType()) # type: ignore + + +@Percentile.register +def infer_type( + col: Union[ct.NumberType, ct.IntervalTypeBase], + percentage: ct.ListType, + freq: ct.IntegerType, +) -> ct.ListType: + return ct.ListType(element_type=ct.FloatType()) # type: ignore + + +class PercentRank(Function): + """ + percent_rank() - Computes the percentage ranking of a value in a group of values. + """ + + is_aggregation = True + + +@PercentRank.register +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class Pow(Function): + """ + Raises a base expression to the power of an exponent expression. + """ + + +@Pow.register # type: ignore +def infer_type( + base: ct.ColumnType, + power: ct.ColumnType, +) -> ct.DoubleType: + return ct.DoubleType() + + +class Power(Function): + """ + Raises a base expression to the power of an exponent expression. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Power.register # type: ignore +def infer_type( + base: ct.ColumnType, + power: ct.ColumnType, +) -> ct.DoubleType: + return ct.DoubleType() + + +class Rand(Function): + """ + rand() - Returns a random value with independent and identically distributed + (i.i.d.) uniformly distributed values in [0, 1). + """ + + +@Rand.register +def infer_type() -> ct.FloatType: + return ct.FloatType() + + +@Rand.register +def infer_type(seed: ct.IntegerType) -> ct.FloatType: + return ct.FloatType() + + +@Rand.register +def infer_type(seed: ct.NullType) -> ct.FloatType: + return ct.FloatType() + + +class Randn(Function): + """ + randn() - Returns a random value with independent and identically + distributed (i.i.d.) values drawn from the standard normal distribution. + """ + + +@Randn.register +def infer_type() -> ct.FloatType: + return ct.FloatType() + + +@Randn.register +def infer_type(seed: ct.IntegerType) -> ct.FloatType: + return ct.FloatType() + + +@Randn.register +def infer_type(seed: ct.NullType) -> ct.FloatType: + return ct.FloatType() + + +class Random(Function): + """ + random() - Returns a random value with independent and identically + distributed (i.i.d.) uniformly distributed values in [0, 1). + """ + + +@Random.register +def infer_type() -> ct.FloatType: + return ct.FloatType() + + +@Random.register +def infer_type(seed: ct.IntegerType) -> ct.FloatType: + return ct.FloatType() + + +@Random.register +def infer_type(seed: ct.NullType) -> ct.FloatType: + return ct.FloatType() + + +class Rank(Function): + """ + rank() - Computes the rank of a value in a group of values. The result is + one plus the number of rows preceding or equal to the current row in the + ordering of the partition. The values will produce gaps in the sequence. + """ + + +@Rank.register +def infer_type() -> ct.IntegerType: + return ct.IntegerType() + + +@Rank.register +def infer_type(_: ct.ColumnType) -> ct.IntegerType: + return ct.IntegerType() + + +class RegexpExtract(Function): + """ + regexp_extract(str, regexp[, idx]) - Extract the first string in the str that + match the regexp expression and corresponding to the regex group index. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@RegexpExtract.register +def infer_type( # type: ignore + str_: ct.StringType, + regexp: ct.StringType, + idx: Optional[ct.IntegerType] = 1, +) -> ct.StringType: + return ct.StringType() + + +class RegexpLike(Function): + """ + regexp_like(str, regexp) - Returns true if str matches regexp, or false otherwise + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@RegexpLike.register +def infer_type( # type: ignore + arg1: ct.StringType, + arg2: ct.StringType, +) -> ct.BooleanType: + return ct.BooleanType() + + +class RegexpReplace(Function): + """ + regexp_replace(str, regexp, rep[, position]) - Replaces all substrings of str that + match regexp with rep. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@RegexpReplace.register +def infer_type( # type: ignore + str_: ct.StringType, + regexp: ct.StringType, + rep: ct.StringType, + position: Optional[ct.IntegerType] = 1, +) -> ct.StringType: + return ct.StringType() + + +class Replace(Function): + """ + replace(str, search[, replace]) - Replaces all occurrences of `search` with `replace`. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Replace.register +def infer_type( # type: ignore + string: ct.StringType, + search: ct.StringType, + replace: Optional[ct.StringType] = "", +) -> ct.StringType: + return ct.StringType() + + +class RowNumber(Function): + """ + row_number() - Assigns a unique, sequential number to each row, starting with + one, according to the ordering of rows within the window partition. + """ + + +@RowNumber.register +def infer_type() -> ct.IntegerType: + return ct.IntegerType() + + +class Round(Function): + """ + Rounds a numeric column or expression to the specified number of decimal places. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Round.register # type: ignore +def infer_type( + child: ct.DecimalType, + scale: ct.IntegerBase, +) -> ct.NumberType: + child_type = child.type + integral_least_num_digits = child_type.precision - child_type.scale + 1 + if scale.value < 0: + new_precision = max( + integral_least_num_digits, + -scale.type.value + 1, + ) # pragma: no cover + return ct.DecimalType(new_precision, 0) # pragma: no cover + new_scale = min(child_type.scale, scale.value) + return ct.DecimalType(integral_least_num_digits + new_scale, new_scale) + + +@Round.register +def infer_type( # type: ignore + child: ct.NumberType, + scale: ct.IntegerBase, +) -> ct.NumberType: + if scale.value == 0: + return ct.IntegerType() + return child.type + + +@Round.register +def infer_type( # type: ignore + child: ct.NumberType, +) -> ct.NumberType: + return ct.IntegerType() + + +class Sequence(Function): + """ + Generates an array of elements from start to stop (inclusive), incrementing by step. + """ + + +@Sequence.register +def infer_type( # type: ignore + start: ct.IntegerBase, + end: ct.IntegerBase, + step: Optional[ct.IntegerBase] = None, +) -> ct.ListType: + return ct.ListType(element_type=start.type) + + +@Sequence.register +def infer_type( # type: ignore + start: ct.TimestampType, + end: ct.TimestampType, + step: ct.IntervalTypeBase, +) -> ct.ListType: + return ct.ListType(element_type=ct.TimestampType()) + + +@Sequence.register +def infer_type( # type: ignore + start: ct.DateType, + end: ct.DateType, + step: ct.IntervalTypeBase, +) -> ct.ListType: + return ct.ListType(element_type=ct.DateType()) + + +class Size(Function): + """ + size(expr) - Returns the size of an array or a map. The function returns + null for null input if spark.sql.legacy.sizeOfNull is set to false or + spark.sql.ansi.enabled is set to true. Otherwise, the function returns -1 + for null input. With the default settings, the function returns -1 for null + input. + """ + + +@Size.register # type: ignore +def infer_type( + arg: ct.ListType, +) -> ct.IntegerType: + return ct.IntegerType() + + +@Size.register # type: ignore +def infer_type( + arg: ct.MapType, +) -> ct.IntegerType: + return ct.IntegerType() + + +class Split(Function): + """ + Splits str around occurrences that match regex and returns an + array with a length of at most limit + """ + + +@Split.register +def infer_type( + string: ct.StringType, + regex: ct.StringType, + limit: Optional[ct.IntegerType] = None, +) -> ct.ColumnType: + return ct.ListType(element_type=ct.StringType()) # type: ignore + + +class Sqrt(Function): + """ + Computes the square root of a numeric column or expression. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Sqrt.register +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class Stddev(Function): + """ + Computes the sample standard deviation of a numerical column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Stddev.register +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class StddevPop(Function): + """ + Computes the population standard deviation of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@StddevPop.register +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class StddevSamp(Function): + """ + Computes the sample standard deviation of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@StddevSamp.register +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class Strpos(Function): + """ + strpos(string, substring) -> bigint + Returns the starting position of the first instance of substring in string. Positions + start with 1. If not found, 0 is returned. + strpos(string, substring, instance) -> bigint + Returns the position of the N-th instance of substring in string. When instance is a + negative number the search will start from the end of string. Positions start with 1. + If not found, 0 is returned. + """ + + dialects = [Dialect.TRINO, Dialect.DRUID] + + +@Strpos.register +def infer_type( + string: ct.StringType, + substring: ct.StringType, +) -> ct.IntegerType: + return ct.IntegerType() + + +@Strpos.register +def infer_type( + string: ct.StringType, + substring: ct.StringType, + instance: ct.IntegerType, +) -> ct.IntegerType: + return ct.IntegerType() + + +class Struct(Function): + """ + struct(val1, val2, ...) - Creates a new struct with the given field values. + """ + + +@Struct.register # type: ignore +def infer_type(*args: ct.ColumnType) -> ct.StructType: + return ct.StructType( + *[ + ct.NestedField( + name=arg.alias.name if hasattr(arg, "alias") else f"col{idx}", + field_type=arg.type, + ) + for idx, arg in enumerate(args) + ], + ) + + +class Substring(Function): + """ + Extracts a substring from a string column or expression. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Substring.register +def infer_type( # type: ignore + string: ct.StringType, + pos: ct.IntegerType, +) -> ct.StringType: + return ct.StringType() + + +@Substring.register +def infer_type( # type: ignore + string: ct.StringType, + pos: ct.IntegerType, + length: ct.IntegerType, +) -> ct.StringType: + return ct.StringType() + + +class Substr(Function): + """ + Extracts a substring from a string column or expression. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Substr.register +def infer_type( # type: ignore + string: ct.StringType, + pos: ct.IntegerType, +) -> ct.StringType: + return ct.StringType() + + +@Substr.register +def infer_type( # type: ignore + string: ct.StringType, + pos: ct.IntegerType, + length: ct.IntegerType, +) -> ct.StringType: + return ct.StringType() # pragma: no cover + + +class Sum(Function): + """ + Computes the sum of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Sum.register # type: ignore +def infer_type( + arg: ct.IntegerBase, +) -> ct.BigIntType: + return ct.BigIntType() + + +@Sum.register # type: ignore +def infer_type( + arg: ct.DecimalType, +) -> ct.DecimalType: + precision = arg.type.precision + scale = arg.type.scale + return ct.DecimalType(precision + min(10, 31 - precision), scale) + + +@Sum.register # type: ignore +def infer_type( + arg: Union[ct.NumberType, ct.IntervalTypeBase], +) -> ct.DoubleType: + return ct.DoubleType() + + +@Sum.register # type: ignore +def infer_type( + arg: Union[ct.DateType, ct.TimestampType], +) -> ct.DoubleType: + return ct.DoubleType() + + +class ToDate(Function): # pragma: no cover + """ + Converts a date string to a date value. + """ + + +@ToDate.register # type: ignore +def infer_type( + expr: ct.StringType, + fmt: Optional[ct.StringType] = None, +) -> ct.DateType: + return ct.DateType() + + +class ToTimestamp(Function): # pragma: no cover + """ + Parses the timestamp_str expression with the fmt expression to a timestamp. + """ + + +@ToTimestamp.register # type: ignore +def infer_type( + expr: ct.StringType, + fmt: Optional[ct.StringType] = None, +) -> ct.TimestampType: + return ct.TimestampType() + + +class Transform(Function): + """ + transform(expr, func) - Transforms elements in an array + using the function. + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `transform` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + expr, func = args + available_identifiers = { + identifier.name: idx for idx, identifier in enumerate(func.identifiers) + } + columns = list( + func.expr.filter( + lambda x: isinstance(x, ast.Column) + and x.alias_or_name.name in available_identifiers, + ), + ) + for col in columns: + # The array element arg + if available_identifiers.get(col.alias_or_name.name) == 0: + col.add_type(expr.type.element.type) + + # The index arg (optional) + if available_identifiers.get(col.alias_or_name.name) == 1: + col.add_type(ct.IntegerType()) + + +@Transform.register # type: ignore +def infer_type( + expr: ct.ListType, + func: ct.PrimitiveType, +) -> ct.ColumnType: + return ct.ListType(element_type=func.expr.type) + + +class TransformKeys(Function): + """ + transform_keys(expr, func) - Transforms keys in a map using the function + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `transform_keys` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + expr, func = args + available_identifiers = { + identifier.name: idx for idx, identifier in enumerate(func.identifiers) + } + columns = list( + func.expr.filter( + lambda x: isinstance(x, ast.Column) + and x.alias_or_name.name in available_identifiers, + ), + ) + for col in columns: + # The map key arg + if available_identifiers.get(col.alias_or_name.name) == 0: + col.add_type(expr.type.key.type) + + # The map value arg + if available_identifiers.get(col.alias_or_name.name) == 1: + col.add_type(expr.type.value.type) + + +@TransformKeys.register # type: ignore +def infer_type( + expr: ct.MapType, + func: ct.ColumnType, +) -> ct.MapType: + return ct.MapType(key_type=func.expr.type, value_type=expr.type.value.type) + + +class TransformValues(Function): + """ + transform_values(expr, func) - Transforms values in a map using the function + """ + + @staticmethod + def compile_lambda(*args): + """ + Compiles the lambda function used by the `transform_values` Spark function so that + the lambda's expression can be evaluated to determine the result's type. + """ + from datajunction_server.sql.parsing import ast + + expr, func = args + available_identifiers = { + identifier.name: idx for idx, identifier in enumerate(func.identifiers) + } + columns = list( + func.expr.filter( + lambda x: isinstance(x, ast.Column) + and x.alias_or_name.name in available_identifiers, + ), + ) + for col in columns: + # The map key arg + if available_identifiers.get(col.alias_or_name.name) == 0: + col.add_type(expr.type.key.type) + + # The map value arg + if available_identifiers.get(col.alias_or_name.name) == 1: + col.add_type(expr.type.value.type) + + +@TransformValues.register # type: ignore +def infer_type( + expr: ct.MapType, + func: ct.ColumnType, +) -> ct.MapType: + return ct.MapType(key_type=expr.type.key.type, value_type=func.expr.type) + + +class Trim(Function): + """ + Removes leading and trailing whitespace from a string value. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Trim.register +def infer_type(arg: ct.StringType) -> ct.StringType: + return ct.StringType() + + +class Timestamp(Function): + """ + timestamp(expr) - Casts the value expr to the target data type timestamp. + """ + + # Druid has this function but it means something else: unix_millis() + dialects = [Dialect.SPARK] + + +@Timestamp.register +def infer_type(expr: ct.StringType) -> ct.TimestampType: + return ct.TimestampType() + + +class TimestampMicros(Function): + """ + timestamp_micros(microseconds) - Creates timestamp from the number of microseconds + since UTC epoch. + """ + + dialects = [Dialect.SPARK] + + +@TimestampMicros.register +def infer_type(microseconds: ct.BigIntType) -> ct.TimestampType: + return ct.TimestampType() + + +class TimestampMillis(Function): + """ + timestamp_millis(milliseconds) - Creates timestamp from the number of milliseconds + since UTC epoch. + """ + + dialects = [Dialect.SPARK] + + +@TimestampMillis.register +def infer_type(milliseconds: ct.BigIntType) -> ct.TimestampType: + return ct.TimestampType() + + +class TimestampSeconds(Function): + """ + timestamp_seconds(seconds) - Creates timestamp from the number of seconds + (can be fractional) since UTC epoch. + """ + + dialects = [Dialect.SPARK] + + +@TimestampSeconds.register +def infer_type(seconds: ct.NumberType) -> ct.TimestampType: + return ct.TimestampType() + + +class Unhex(Function): + """ + unhex(str) - Interprets each pair of characters in the input string as a + hexadecimal number and converts it to the byte that number represents. + The output is a binary string. + """ + + +@Unhex.register # type: ignore +def infer_type(arg: ct.StringType) -> ct.ColumnType: + return ct.BinaryType() + + +class UnixDate(Function): + """ + unix_date(date) - Returns the number of days since 1970-01-01. + """ + + dialects = [Dialect.SPARK] + + +@UnixDate.register # type: ignore +def infer_type(arg: ct.DateType) -> ct.IntegerType: + return ct.IntegerType() + + +class UnixMicros(Function): + """ + unix_micros(timestamp) - Returns the number of microseconds since 1970-01-01 00:00:00 UTC. + """ + + dialects = [Dialect.SPARK] + + +@UnixMicros.register # type: ignore +def infer_type(arg: ct.TimestampType) -> ct.BigIntType: + return ct.BigIntType() + + +class UnixMillis(Function): + """ + unix_millis(timestamp) - Returns the number of milliseconds since 1970-01-01 00:00:00 UTC. + Truncates higher levels of precision. + """ + + dialects = [Dialect.SPARK] + + +@UnixMillis.register # type: ignore +def infer_type(arg: ct.TimestampType) -> ct.BigIntType: + return ct.BigIntType() + + +class UnixSeconds(Function): + """ + unix_seconds(timestamp) - Returns the number of seconds since 1970-01-01 00:00:00 UTC. + Truncates higher levels of precision. + """ + + dialects = [Dialect.SPARK] + + +@UnixSeconds.register # type: ignore +def infer_type(arg: ct.TimestampType) -> ct.BigIntType: + return ct.BigIntType() + + +class UnixTimestamp(Function): + """ + unix_timestamp([time_exp[, fmt]]) - Returns the UNIX timestamp of current or specified time. + + Arguments: + time_exp - A date/timestamp or string. If not provided, this defaults to current time. + fmt - Date/time format pattern to follow. Ignored if time_exp is not a string. + Default value is "yyyy-MM-dd HH:mm:ss". See Datetime Patterns for valid date and time + format patterns. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@UnixTimestamp.register # type: ignore +def infer_type( + time_exp: Optional[Union[ct.TimestampType, ct.DateType, ct.StringType]] = None, + fmt: Optional[ct.StringType] = None, +) -> ct.BigIntType: + return ct.BigIntType() + + +class Upper(Function): + """ + Converts a string value to uppercase. + """ + + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Upper.register +def infer_type(arg: ct.StringType) -> ct.StringType: + return ct.StringType() + + +class Variance(Function): + """ + Computes the sample variance of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@Variance.register +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class VarPop(Function): + """ + Computes the population variance of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@VarPop.register +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class VarSamp(Function): + """ + Computes the sample variance of the input column or expression. + """ + + is_aggregation = True + dialects = [Dialect.SPARK, Dialect.DRUID] + + +@VarSamp.register +def infer_type(arg: ct.NumberType) -> ct.DoubleType: + return ct.DoubleType() + + +class Week(Function): + """ + Returns the week number of the year of the input date value. + Note: Trino-only + """ + + +@Week.register +def infer_type(arg: Union[ct.StringType, ct.DateTimeBase]) -> ct.BigIntType: + return ct.BigIntType() + + +class Year(Function): + """ + Returns the year of the input date value. + """ + + +@Year.register +def infer_type( + arg: Union[ct.StringType, ct.DateTimeBase, ct.IntegerType], +) -> ct.BigIntType: + return ct.BigIntType() + + +################################################################################## +# Table Functions # +# https://spark.apache.org/docs/3.3.2/sql-ref-syntax-qry-select-tvf.html#content # +################################################################################## + + +class Explode(TableFunction): + """ + The Explode function is used to explode the specified array, + nested array, or map column into multiple rows. + The explode function will generate a new row for each + element in the specified column. + """ + + +@Explode.register +def infer_type( + arg: ct.ListType, +) -> List[ct.NestedField]: + return [arg.element] + + +@Explode.register +def infer_type( + arg: ct.MapType, +) -> List[ct.NestedField]: + return [arg.key, arg.value] + + +class Unnest(TableFunction): + """ + The unnest function is used to explode the specified array, + nested array, or map column into multiple rows. + It will generate a new row for each element in the specified column. + """ + + dialects = [Dialect.TRINO, Dialect.DRUID] + + +@Unnest.register +def infer_type( + arg: ct.ListType, +) -> List[ct.NestedField]: + return [arg.element] # pragma: no cover + + +@Unnest.register +def infer_type( + arg: ct.MapType, +) -> List[ct.NestedField]: + return [arg.key, arg.value] + + +class FunctionRegistryDict(dict): + """ + Custom dictionary mapping for functions + """ + + def __getitem__(self, key): + """ + Returns a custom error about functions that haven't been implemented yet. + """ + try: + return super().__getitem__(key) + except KeyError as exc: + raise DJNotImplementedException( + f"The function `{key}` hasn't been implemented in " + "DJ yet. You can file an issue at https://github." + "com/DataJunction/dj/issues/new?title=Function+" + f"missing:+{key} to request it to be added, or use " + "the documentation at https://github.com/DataJunct" + "ion/dj/blob/main/docs/functions.rst to implement it.", + ) from exc + + +function_registry = FunctionRegistryDict() +for cls in Function.__subclasses__(): + snake_cased = re.sub(r"(? Optional["Dialect"]: + """Get the current render dialect from context.""" + return _render_dialect.get() + + +@contextmanager +def render_for_dialect(dialect: "Dialect"): + """ + Context manager to render AST for a specific dialect. + + Usage: + with render_for_dialect(Dialect.DRUID): + druid_sql = str(query) + """ + token = _render_dialect.set(dialect) + try: + yield + finally: + _render_dialect.reset(token) + + +def to_sql(query: "Query", dialect: Optional["Dialect"] = None) -> str: + """ + Render a query AST to SQL for a specific dialect. + + Args: + query: The Query AST to render + dialect: Target dialect (None = use canonical/Spark names) + + Returns: + SQL string for the target dialect + """ + if dialect is None: + return str(query) + with render_for_dialect(dialect): + return str(query) + + +def flatten(maybe_iterables: Any) -> Iterator: + """ + Flattens `maybe_iterables` by descending into items that are Iterable + """ + + if not isinstance(maybe_iterables, (list, tuple, set, Iterator)): + return iter([maybe_iterables]) + return chain.from_iterable( + (flatten(maybe_iterable) for maybe_iterable in maybe_iterables) + ) + + +@dataclass +class CompileContext: + session: AsyncSession + exception: DJException + dependencies_cache: dict[str, DJNodeRef] = field(default_factory=dict) + + +# typevar used for node methods that return self +# so the typesystem can correlate the self type with the return type +TNode = TypeVar("TNode", bound="Node") + + +class Node(ABC): + """Base class for all DJ AST nodes. + + DJ nodes are python dataclasses with the following patterns: + - Attributes are either + - PRIMITIVES (int, float, str, bool, None) + - iterable from (list, tuple, set) + - Enum + - descendant of `Node` + - Attributes starting with '_' are "obfuscated" and are not included in `children` + + """ + + parent: Optional["Node"] = None + parent_key: Optional[str] = None + + _is_compiled: bool = False + + def __post_init__(self): + self.add_self_as_parent() + + @property + def depth(self) -> int: + if self.parent is None: + return 0 + return self.parent.depth + 1 + + def clear_parent(self: TNode) -> TNode: + """ + Remove parent from the node + """ + self.parent = None + return self + + def set_parent(self: TNode, parent: "Node", parent_key: str) -> TNode: + """ + Add parent to the node + """ + self.parent = parent + self.parent_key = parent_key + return self + + def add_self_as_parent(self: TNode) -> TNode: + """ + Adds self as a parent to all children + """ + for name, child in self.fields( + flat=True, + nodes_only=True, + obfuscated=False, + nones=False, + named=True, + ): + child.set_parent(self, name) + return self + + def __setattr__(self, key: str, value: Any): + """ + Facilitates setting children using `.` syntax ensuring parent is attributed + """ + if key == "parent": + object.__setattr__(self, key, value) + return + + object.__setattr__(self, key, value) + for child in flatten(value): + if isinstance(child, Node) and not key.startswith("_"): + child.set_parent(self, key) + + def swap(self: TNode, other: "Node") -> TNode: + """ + Swap the Node for another + """ + if not (self.parent and self.parent_key): + return self + parent_attr = getattr(self.parent, self.parent_key) + if parent_attr is self: + setattr(self.parent, self.parent_key, other) + return self.clear_parent() + + new = [] + for iterable_type in (list, tuple, set): + if isinstance(parent_attr, iterable_type): + for element in parent_attr: + if self is element: + new.append(other) + else: + new.append(element) + new = iterable_type(new) + break + + setattr(self.parent, self.parent_key, new) + return self.clear_parent() + + def copy(self: TNode) -> TNode: + """ + Create a deep copy of the `self` + """ + return deepcopy(self) + + def get_nearest_parent_of_type( + self: "Node", + node_type: Type[TNode], + ) -> Optional[TNode]: + """ + Traverse up the tree until you find a node of `node_type` or hit the root + """ + if isinstance(self.parent, node_type): + return self.parent + if self.parent is None: + return None + return self.parent.get_nearest_parent_of_type(node_type) + + def get_furthest_parent( + self: "Node", + ) -> Optional[TNode]: + """ + Traverse up the tree until you find a node of `node_type` or hit the root + """ + if self.parent is None: + return None + curr_parent = self.parent + while True: + if curr_parent.parent is None: + return curr_parent + curr_parent = curr_parent.parent + + def flatten(self) -> Iterator["Node"]: + """ + Flatten the sub-ast of the node as an iterator + """ + return self.filter(lambda _: True) + + def fields( + self, + flat: bool = True, + nodes_only: bool = True, + obfuscated: bool = False, + nones: bool = False, + named: bool = False, + ) -> Iterator: + """ + Returns an iterator over fields of a node with particular filters + + Args: + flat: return a flattened iterator (if children are iterable) + nodes_only: do not yield children that are not Nodes (trumped by `obfuscated`) + obfuscated: yield fields that have leading underscores + (typically accessed via a property) + nones: yield values that are None + (optional fields without a value); trumped by `nodes_only` + named: yield pairs `(field name: str, field value)` + Returns: + Iterator: returns all children of a node given filters + and optional flattening (by default Iterator[Node]) + """ + + def make_child_generator(): + """ + Makes a generator enclosing self to return + not obfuscated fields (fields without starting `_`) + """ + for self_field in fields(self): + if ( + not self_field.name.startswith("_") if not obfuscated else True + ) and (self_field.name in self.__dict__): + value = self.__dict__[self_field.name] + values = [value] + if flat: + values = flatten(value) + for value in values: + if named: + yield (self_field.name, value) + else: + yield value + + # `iter`s used to satisfy mypy (`child_generator` type changes between generator, filter) + child_generator = iter(make_child_generator()) + + if nodes_only: + child_generator = iter( + filter( + lambda child: isinstance(child, Node) + if not named + else isinstance(child[1], Node), + child_generator, + ), + ) + + if not nones: + child_generator = iter( + filter( + lambda child: (child is not None) + if not named + else (child[1] is not None), + child_generator, + ), + ) + + return child_generator + + @property + def children(self) -> Iterator["Node"]: + """ + Returns an iterator of all nodes that are one + step from the current node down including through iterables + """ + return self.fields( + flat=True, + nodes_only=True, + obfuscated=False, + nones=False, + named=False, + ) + + def replace( + self, + from_: "Node", + to: "Node", + compare: Optional[Callable[[Any, Any], bool]] = None, + times: int = -1, + copy: bool = True, + ): + """ + Replace a node `from_` with a node `to` in the subtree + """ + replacements = 0 + compare_ = (lambda a, b: a is b) if compare is None else compare + for node in self.flatten(): + if compare_(node, from_): + other = to.copy() if copy else to + if isinstance(from_, Table) and from_.parent == to: + continue + if isinstance(from_, Table): + for ref in from_.ref_columns: + ref.add_table(other) + node.swap(other) + replacements += 1 + if replacements == times: + return + + def filter(self, func: Callable[["Node"], bool]) -> Iterator["Node"]: + """ + Find all nodes that `func` returns `True` for + """ + if func(self): + yield self + + for node in chain(*[child.filter(func) for child in self.children]): + yield node + + def contains(self, other: "Node") -> bool: + """ + Checks if the subtree of `self` contains the node. + Optimized to walk up parent pointers instead of traversing the entire subtree. + """ + # Walk up from `other` to see if we reach `self` + current: Optional["Node"] = other + while current is not None: + if current is self: + return True + current = current.parent + return False + + def has_ancestor(self, other: Optional["Node"]) -> bool: + """ + Checks if `other` is an ancestor of `self` (i.e., `self` is in `other`'s subtree). + """ + return bool(other) and other.contains(self) + + def find_all(self, node_type: Type[TNode]) -> Iterator[TNode]: + """ + Find all nodes of a particular type in the node's sub-ast + """ + return self.filter(lambda n: isinstance(n, node_type)) # type: ignore + + def apply(self, func: Callable[["Node"], None]): + """ + Traverse ast and apply func to each Node + """ + func(self) + for child in self.children: + child.apply(func) + + def compare( + self, + other: "Node", + ) -> bool: + """ + Compare two ASTs for deep equality + """ + if type(self) != type(other): + return False + if id(self) == id(other): + return True + return hash(self) == hash(other) + + def diff(self, other: "Node") -> List[Tuple["Node", "Node"]]: + """ + Compare two ASTs for differences and return the pairs of differences + """ + + def _diff(self, other: "Node"): + if self != other: + diffs.append((self, other)) + else: + for child, other_child in zip_longest(self.children, other.children): + _diff(child, other_child) + + diffs: List[Tuple["Node", "Node"]] = [] + _diff(self, other) + return diffs + + def similarity_score(self, other: "Node") -> float: + """ + Determine how similar two nodes are with a float score + """ + self_nodes = list(self.flatten()) + other_nodes = list(other.flatten()) + intersection = [ + self_node for self_node in self_nodes if self_node in other_nodes + ] + union = ( + [self_node for self_node in self_nodes if self_node not in intersection] + + [ + other_node + for other_node in other_nodes + if other_node not in intersection + ] + + intersection + ) + return len(intersection) / len(union) + + def __eq__(self, other) -> bool: + """ + Compares two nodes for "top level" equality. + + Checks for type equality and primitive field types for full equality. + Compares all others for type equality only. No recursing. + Note: Does not check (sub)AST. See `Node.compare` for comparing (sub)ASTs. + """ + return type(self) == type(other) and all( + s == o if type(s) in PRIMITIVES else type(s) == type(o) + for s, o in zip( + (self.fields(False, False, False, True)), + (other.fields(False, False, False, True)), + ) + ) + + def __hash__(self) -> int: + """ + Hash a node + """ + return hash( + tuple( + chain( + (type(self),), + self.fields( + flat=True, + nodes_only=False, + obfuscated=False, + nones=True, + named=False, + ), + ), + ), + ) + + @abstractmethod + def __str__(self) -> str: + """ + Get the string of a node + """ + + async def compile(self, ctx: CompileContext): + """ + Compile a DJ Node. By default, we call compile on all immediate children of this node. + """ + if self._is_compiled: + return + for child in self.children: + if not child.is_compiled(): + await child.compile(ctx) + child._is_compiled = True + self._is_compiled = True + + def is_compiled(self) -> bool: + """ + Checks whether a DJ AST Node is compiled + """ + return self._is_compiled + + +class DJEnum(Enum): + """ + A DJ AST enum + """ + + def __repr__(self) -> str: + return str(self) + + +@dataclass(eq=False) +class Aliasable(Node): + """ + A mixin for Nodes that are aliasable + """ + + alias: Optional["Name"] = None + as_: Optional[bool] = None + semantic_entity: Optional[str] = None + semantic_type: Optional[SemanticType] = None + + def set_alias(self: TNode, alias: Optional["Name"]) -> TNode: + self.alias = alias + return self + + def set_as(self: TNode, as_: bool) -> TNode: + self.as_ = as_ + return self + + def set_semantic_entity(self: TNode, semantic_entity: str) -> TNode: + self.semantic_entity = semantic_entity + return self + + def set_semantic_type(self: TNode, semantic_type: SemanticType) -> TNode: + self.semantic_type = semantic_type + return self + + @property + def columns(self): + """ + Returns a list of self if aliased or named else an empty list + """ + return [self] + + @property + def alias_or_name(self) -> "Name": + if self.alias is not None: + return self.alias + elif isinstance(self, Named): + return self.name + else: + raise DJParseException("Node has no alias or name.") + + +AliasedType = TypeVar("AliasedType", bound=Node) + + +@dataclass(eq=False) +class Alias(Aliasable, Generic[AliasedType]): + """ + Wraps node types with an alias + """ + + child: AliasedType = field(default_factory=Node) + + def __str__(self) -> str: + as_ = " AS " if self.as_ else " " + return f"{self.child}{as_}{self.alias}" + + def is_aggregation(self) -> bool: + return isinstance(self.child, Expression) and self.child.is_aggregation() + + @property + def type(self) -> ColumnType: + return self.child.type + + @property + def columns(self): + """ + Returns a list of self if aliased or named else an empty list + """ + return [self] + + +TExpression = TypeVar("TExpression", bound="Expression") + + +@dataclass(eq=False) +class Expression(Node): + """ + An expression type simply for type checking + """ + + parenthesized: Optional[bool] = field(init=False, default=None) + + @property + def type(self) -> Union[ColumnType, List[ColumnType]]: + """ + Return the type of the expression + """ + + @property + def columns(self): + """ + Returns a list of self if aliased or named else an empty list + """ + return [] + + def is_aggregation(self) -> bool: + """ + Determines whether an Expression is an aggregation or not + """ + return any( + hasattr(child, "is_aggregation") and child.is_aggregation() + for child in self.children + ) + + def set_alias(self: TExpression, alias: "Name") -> Alias[TExpression]: + return Alias(child=self).set_alias(alias) + + def without_aliases(self) -> TExpression: + exp = self + while hasattr(exp, "alias") or isinstance(exp, Alias) or hasattr(exp, "child"): + if hasattr(exp, "child"): + exp = exp.child + elif hasattr(exp, "expression"): + exp = exp.expression + return exp + + +@dataclass(eq=False) +class Name(Node): + """ + The string name specified in sql with quote style + """ + + name: str + quote_style: str = "" + namespace: Optional["Name"] = None + + def __post_init__(self): + if isinstance(self.name, Name): + self.quote_style = self.quote_style or self.name.quote_style + self.namespace = self.namespace or self.name.namespace + self.name = self.name.name + + def __str__(self) -> str: + return self.identifier(True) + + @property + def names(self) -> List["Name"]: + namespace = [self] + name = self + while name.namespace: + namespace.append(name.namespace) + name = name.namespace + return namespace[::-1] + + def identifier(self, quotes: bool = True) -> str: + """ + Yield a string of all the names making up + the name with or without quotes + """ + quote_style = "" if not quotes else self.quote_style + namespace = str(self.namespace) + "." if self.namespace else "" + return f"{namespace}{quote_style}{self.name}{quote_style}" + + +TNamed = TypeVar("TNamed", bound="Named") + + +@dataclass(eq=False) # type: ignore +class Named(Node): + """ + An Expression that has a name + """ + + name: Name + + @staticmethod + def namespaces_intersect( + namespace_a: List[Name], + namespace_b: List[Name], + quotes: bool = False, + ): + return all( + na.name == nb.name if not quotes else str(na) == str(nb) + for na, nb in zip(reversed(namespace_a), reversed(namespace_b)) + ) + + @property + def names(self) -> List[Name]: + return self.name.names + + @property + def namespace(self) -> List[Name]: + return self.names[:-1] + + @property + def columns(self): + """ + Returns a list of self if aliased or named else an empty list + """ + return [self] + + def identifier(self, quotes: bool = True) -> str: + if quotes: + return str(self.name) + + return ".".join( + ( + *(name.name for name in self.namespace), + self.name.name, + ), + ) + + @property + def alias_or_name(self) -> "Name": + return self.name + + +@dataclass(eq=False) +class DefaultName(Name): + name: str = "" + + def __bool__(self) -> bool: + return False + + +@dataclass(eq=False) +class UnNamed(Named): + name: Name = field(default_factory=DefaultName) + + +@dataclass(eq=False) +class Column(Aliasable, Named, Expression): + """ + Column used in statements + """ + + _table: Optional[Union[Aliasable, "TableExpression"]] = field( + repr=False, + default=None, + ) + _is_struct_ref: bool = False + _type: Optional["ColumnType"] = field(repr=False, default=None) + _expression: Optional[Expression] = field(repr=False, default=None) + _is_compiled: bool = False + role: Optional[str] = None + dimension_ref: Optional[str] = None + + @property + def type(self): + if self._type: + return self._type + # Column was derived from some other expression we can get the type of + if self.expression: + self.add_type(self.expression.type) + return self.expression.type + + parent_expr = f"in {self.parent}" if self.parent else "that has no parent" + raise DJParseException(f"Cannot resolve type of column {self} {parent_expr}") + + def add_type(self, type_: ColumnType) -> "Column": + """ + Add a referenced type + """ + self._type = type_ + return self + + def copy(self): + return Column( + name=self.name, + alias=self.alias, + _table=self.table, + _type=self.type, + _is_compiled=self.is_compiled(), + ) + + @property + def expression(self) -> Optional[Expression]: + """ + Return the Expression this node points to in a subquery + """ + return self._expression + + def namespace_table(self): + """ + Turns the column's namespace into a table. + """ + if self.name.namespace: + self._table = Table(name=self.name.namespace) + self.name.namespace = None + self._table.parent = self + self._table.parent_key = "_table" + + def add_expression(self, expression: "Expression") -> "Column": + """ + Add a referenced expression where the column came from + """ + self._expression = expression + return self + + def set_struct_ref(self): + """ + Marks this column as a struct dereference. This implies that we treat the name + and namespace values on this object as struct column and struct subscript values. + """ + self._is_struct_ref = True + + def add_table(self, table: "TableExpression"): + self._table = table + + @property + def table(self) -> Optional["TableExpression"]: + """ + Return the table the column was referenced from + """ + return self._table + + @property + def children(self) -> Iterator[Node]: + if self.table and self.table.parent is self: + return chain(super().children, (self.table,)) + return super().children + + @property + def is_api_column(self) -> bool: + """ + Is the column added from the api? + """ + return self._api_column + + def set_api_column(self, api_column: bool = False) -> "Column": + """ + Set the api column flag + """ + self._api_column = api_column + return self + + def use_alias_as_name(self) -> "Column": + """Use the column's alias as its name""" + self.name = self.alias + self.alias = None + return self + + def is_compiled(self): + return self._is_compiled or (self.table and self._type) + + def column_names(self) -> Tuple[Optional[str], str, Optional[str]]: + """ + Returns the column namespace (if any), column name, and subscript name (if any) + """ + subscript_name = None + column_name = self.name.name + column_namespace = None + if len(self.namespace) == 2: # struct + column_namespace, column_name = self.namespace + column_name = column_name.name + subscript_name = self.name.name + elif len(self.namespace) == 1: # non-struct + column_namespace = self.namespace[0].name + return column_namespace, column_name, subscript_name + + @classmethod + def from_existing( + cls, + col: Union[Aliasable, Expression, "Column"], + table: "TableExpression", + ): + """ + Build a selectable column from an existing one + """ + return Column( + col.alias_or_name, + _type=col.type, + semantic_entity=col.semantic_entity, + semantic_type=col.semantic_type, + _table=table, + ) + + async def find_table_sources( + self, + ctx: CompileContext, + ) -> List["TableExpression"]: + # flake8: noqa + """ + Find all tables that this column could have originated from. + """ + query = cast( + Query, + self.get_nearest_parent_of_type(Query), + ) + + # Use cached table expressions to avoid repeated AST traversals + all_table_expressions = query.get_table_expressions() + direct_tables = [ + tbl + for tbl in all_table_expressions + if tbl.in_from_or_lateral() + and tbl.get_nearest_parent_of_type(Query) is query + ] + + if hasattr(self, "child"): + self.add_type(self.child.type) + + for table in direct_tables: + if not table.is_compiled(): + await table.compile(ctx) + + namespace = ( + self.name.namespace.identifier(False) if self.name.namespace else "" + ) # a.x -> a + + # Determine if the column is referencing a struct + column_namespace, column_name, subscript_name = self.column_names() + is_struct = column_namespace and column_name and subscript_name + + found = [] + + # Go through TableExpressions directly on the AST first and collect all + # possible origins for this column. There may be more than one if the column + # is not namespaced. + for table in direct_tables: + if ( + # This column may be namespaced, in which case we'll search for an origin table + # that has the namespace as an alias or name. If this column has no namespace, + # it should be sourced from the immediate table + not namespace or namespace == table.alias_or_name.identifier(False) + ): + result = await table.add_ref_column(self, ctx) + if result: + found.append(table) + + # This column may be a struct, meaning it'll have an optional namespace, + # a column name, and a subscript + if not found: + for table in direct_tables: + namespace = namespace.split(SEPARATOR)[0] + if table.column_mapping.get(namespace) or ( + table.column_mapping.get(column_name) + and is_struct + and ( + not namespace + or table.alias_or_name.namespace + and table.alias_or_name.namespace.identifier() == namespace + ) + ): + if await table.add_ref_column(self, ctx): + found.append(table) + + if found: + return found + + if not query.in_from_or_lateral(): + correlation_tables = [ + tbl + for tbl in all_table_expressions + if tbl.in_from_or_lateral() + and query.has_ancestor(tbl.get_nearest_parent_of_type(Query)) + ] + for table in correlation_tables: + if not namespace or table.alias_or_name.identifier(False) == namespace: + if await table.add_ref_column(self, ctx): + found.append(table) + + if found: + return found + + # Check for ctes + alpha_query = self.get_furthest_parent() + direct_table_names = { + direct_table.alias_or_name.identifier() for direct_table in direct_tables + } + if isinstance(alpha_query, Query) and alpha_query.ctes: + # Get the column name we're looking for + column_name = self.name.name + for cte in alpha_query.ctes: + cte_name = cte.alias_or_name.identifier(False) + if cte_name == namespace or ( + not namespace and cte_name in direct_table_names + ): + # Quick check: see if CTE projection has a column with this name + # before triggering expensive compilation + if cte._columns: + # CTE already compiled, use fast path + if await cte.add_ref_column(self, ctx): + found.append(cte) + else: + # Check if the CTE's projection might have this column + # by looking at alias names in the projection + might_have_column = False + for proj_expr in cte.select.projection: + if hasattr(proj_expr, "alias_or_name"): + if proj_expr.alias_or_name.name == column_name: + might_have_column = True + break + elif hasattr(proj_expr, "name") and hasattr( + proj_expr.name, + "name", + ): + if proj_expr.name.name == column_name: + might_have_column = True + break + if might_have_column: + if await cte.add_ref_column(self, ctx): + found.append(cte) + + # If nothing was found in the initial AST, traverse through dimensions graph + # to find another table in DJ that could be its origin + to_process = collections.deque([(table, []) for table in direct_tables]) + processed = set() + while to_process: + current_table, path = to_process.pop() + if current_table in processed: + continue + processed.add(current_table) + if ( + not namespace + or current_table.alias_or_name.identifier(False) == namespace + ): + if await current_table.add_ref_column(self, ctx): + found.append(current_table) + return found + + # If the table has a DJ node, check to see if the DJ node has dimensions, + # which would link us to new nodes to search for this column in + if isinstance(current_table, Table) and current_table.dj_node: + if not isinstance(current_table.dj_node, NodeRevision): + current_table.set_dj_node(current_table.dj_node.current) + for dj_col in current_table.dj_node.columns: + if dj_col.dimension: + if not ctx.dependencies_cache.get(dj_col.dimension.name): + ctx.dependencies_cache[ + dj_col.dimension.name + ] = await DJNodeRef.get_by_name( + ctx.session, + dj_col.dimension.name, + options=[ + joinedload(DJNodeRef.current).options( + selectinload(DJNode.columns), + ), + ], + ) + col_dimension = ctx.dependencies_cache.get( + dj_col.dimension.name, + ) + if col_dimension: + new_table = Table( + name=to_namespaced_name(col_dimension.name), + _dj_node=col_dimension.current, + path=path, + ) + new_table._columns = [ + Column( + name=Name(col.name), + _type=col.type, + _table=new_table, + ) + for col in col_dimension.current.columns + ] + to_process.append((new_table, path)) + await ctx.session.refresh(current_table.dj_node, ["dimension_links"]) + for link in current_table.dj_node.dimension_links: + all_roles = [] + if self.role: + all_roles = self.role.split(" -> ") + if (not link.role and not all_roles) or (link.role in all_roles): + await ctx.session.refresh(link, ["dimension"]) + if link.dimension: + await ctx.session.refresh(link.dimension, ["current"]) + new_table = Table( + name=to_namespaced_name(link.dimension.name), + _dj_node=link.dimension.current, + dimension_link=link, + path=path + [link], + ) + await ctx.session.refresh( + link.dimension.current, + ["columns"], + ) + new_table._columns = [ + Column( + name=Name(col.name), + _type=col.type, + _table=new_table, + ) + for col in link.dimension.current.columns + ] + to_process.append((new_table, path + [link])) + return found + + def _get_parent_query(self) -> Optional["Query"]: + """Find the parent Query node for this column.""" + node = self.parent + while node is not None: + if isinstance(node, Query): + return node + node = getattr(node, "parent", None) + return None + + async def compile(self, ctx: CompileContext): + """ + Compile a column. + Determines the table from which a column is from. + For metric references (columns with namespace but no table source), + resolves the type from the metric's output. + """ + if self.is_compiled(): + return + + # check if the column was already given a table + if self.table and isinstance(self.table.parent, Column): + await self.table.add_ref_column(self, ctx) + else: + found_sources = list(set(await self.find_table_sources(ctx))) + if len(found_sources) < 1: + # No table sources found - check if this is a metric reference + # Only try metric resolution if: + # 1. Column has a namespace (e.g., default.total_repair_cost) + # 2. The parent query has NO FROM clause (derived metric pattern) + parent_query = self._get_parent_query() + has_from_clause = ( + parent_query is not None and parent_query.select.from_ is not None + ) + + # Column with any namespace and no FROM clause could be: + # 1. A metric reference: default.metric_a or ns.subns.metric_b + # 2. A dimension attribute reference: default.dim.column + if self.namespace and not has_from_clause: + # First, try to resolve as a metric node reference + node_name = self.identifier() + try: + dj_node = await get_dj_node( + ctx.session, + node_name, + {DJNodeType.METRIC}, + ) + if dj_node: + # Found a metric - get its output type + # Metrics have a single projection column + # Need to refresh to ensure columns are loaded + await refresh_if_needed(ctx.session, dj_node, ["columns"]) + if dj_node.columns: + self._type = dj_node.columns[0].type + self._is_compiled = True + return + else: + # Metric found but no columns - this shouldn't happen + # Fall through to try as dimension attribute + pass + except DJErrorException: + pass # Not a metric, try as dimension attribute + + # If not a metric, try as a dimension attribute reference + # e.g., dimensions.date.week -> dimension node is dimensions.date, + # column is week + if len(self.namespace) >= 1: + namespace_parts = [n.name for n in self.namespace] + column_name = self.alias_or_name.name + potential_dim_name = ".".join(namespace_parts) + + try: + dim_node = await get_dj_node( + ctx.session, + potential_dim_name, + {DJNodeType.DIMENSION}, + ) + if dim_node: + # Found a dimension - get the column type + await refresh_if_needed( + ctx.session, + dim_node, + ["columns"], + ) + for dim_col in dim_node.columns: + if dim_col.name == column_name: + self._type = dim_col.type + self._is_compiled = True + return + # Dimension found but column not on it - fall through + except DJErrorException: + pass # Not a dimension either, fall through to error + + ctx.exception.errors.append( + DJError( + code=ErrorCode.INVALID_COLUMN, + message=f"Column `{self}` does not exist on any valid table.", + ), + ) + return + + if len(found_sources) > 1: + ctx.exception.errors.append( + DJError( + code=ErrorCode.INVALID_COLUMN, + message=f"Column `{self.name.name}` found in multiple tables. Consider using fully qualified name.", + ), + ) + return + + source_table = cast(TableExpression, found_sources[0]) + added = await source_table.add_ref_column(self, ctx) + if not added: + ctx.exception.errors.append( + DJError( + code=ErrorCode.INVALID_COLUMN, + message=f"Column `{self}` does not exist on any valid table.", + ), + ) + return + self._is_compiled = True + + @property + def struct_column_name(self) -> str: + """If this is a struct reference, the struct type's column name""" + column_namespace, column_name, subscript_name = self.column_names() + if len(self.namespace) == 1: # non-struct + return column_namespace + return column_name + + @property + def struct_subscript(self) -> str: + """If this is a struct reference, the struct type's field name""" + return self.name.name + + def __str__(self) -> str: + as_ = " AS " if self.as_ else " " + alias = "" if not self.alias else f"{as_}{self.alias}" + if self.table is not None and not isinstance(self.table, FunctionTable): + name = ( + self.struct_column_name + "." + self.struct_subscript + if self._is_struct_ref + else self.name.name + ) + ret = f"{self.name.quote_style}{name}{self.name.quote_style}" + if table_name := self.table.alias_or_name: + ret = ( + ( + table_name + if isinstance(table_name, str) + else table_name.identifier() + ) + + "." + + ret + ) + else: + ret = str(self.name) + if self.parenthesized: + ret = f"({ret})" + return ret + alias + + @property + def is_struct_ref(self): + return self._is_struct_ref + + +@dataclass(eq=False) +class Wildcard(Named, Expression): + """ + Wildcard or '*' expression + """ + + name: Name = field(init=False, repr=False, default=Name("*")) + _table: Optional["Table"] = field(repr=False, default=None) + + @property + def table(self) -> Optional["Table"]: + """ + Return the table the column was referenced from if there's one + """ + return self._table + + def add_table(self, table: "Table") -> "Wildcard": + """ + Add a referenced table + """ + if self._table is None: + self._table = table + return self + + def __str__(self) -> str: + return "*" + + @property + def type(self) -> ColumnType: + return WildcardType() + + +@dataclass(eq=False) +class TableExpression(Aliasable, Expression): + """ + A type for table expressions + """ + + column_list: List[Column] = field(default_factory=list) + _columns: List[Expression] = field( + default_factory=list, + ) # all those expressions that can be had from the table; usually derived from dj node metadata for Table + # ref (referenced) columns are columns used elsewhere from this table + _ref_columns: List[Column] = field(init=False, repr=False, default_factory=list) + + @property + def columns(self) -> List[Expression]: + """ + Return the columns named in this table + """ + col_list_names = {col.name.name for col in self.column_list} + return [ + col + for col in self._columns + if isinstance(col, (Aliasable, Named)) + and (col.alias_or_name.name in col_list_names if col_list_names else True) + ] + + @property + def column_mapping(self) -> Dict[str, Column]: + """ + Return the columns named in this table + """ + return { + col.alias_or_name.name: col + for col in self._columns + if isinstance(col, (Aliasable, Named)) + } + + @property + def ref_columns(self) -> Set[Column]: + """ + Return the columns referenced from this table + """ + return self._ref_columns + + async def add_ref_column( + self, + column: Column, + ctx: Optional[CompileContext] = None, + ) -> bool: + """ + Add column referenced from this table. Returns True if the table has the column + and False otherwise. + + This function handles the following cases: + + Regular columns. For example: + (1) non-aliased columns + `SELECT country_id AS country1 FROM countries` should match the `country_id` + column in the table `countries` + (2) aliased columns + `SELECT C.country_id AS country1 FROM countries C` should match the `country_id` + column in the table `countries` with the column namespace/table alias `C` + + Struct columns. For example: + (1) non-aliased struct columns + `countries` has column `identifiers` with type: + STRUCT + `SELECT identifiers.country_name AS name FROM countries` should match the + `identifier` -> `country_name` column in the table `countries` + (2) aliased struct columns + `countries` has column `identifiers` with type: + STRUCT + `SELECT C.identifiers.country_name AS name FROM countries C` should match the + `identifier` -> `country_name` column in the table `countries` with the column namespace/ + table alias `C` + """ + if not self._columns: + if ctx is None: + raise DJErrorException( + "Uncompiled Table expression requested to " + "add Column ref without a compilation context.", + ) + await self.compile(ctx) + return self.add_column_reference(column) + + def add_column_reference( + self, + column: Column, + ) -> bool: + """ + Add column referenced from this table. Returns True if the table has the column + and False otherwise. + """ + if not isinstance(column, Alias): + ref_col_name = column.name.name + if matching_column := self.column_mapping.get(ref_col_name): + self._ref_columns.append(column) + column.add_table(self) + column.add_expression(matching_column) + column.add_type(matching_column.type) + # Fast path: if we found it in column_mapping, we're done + # (unless it's a struct type that needs special handling) + if not ( + hasattr(matching_column, "_type") + and matching_column._type + and isinstance(matching_column.type, StructType) + ): + return True + + # For table-valued functions, add the list of columns that gets + # returned as reference columns and compile them + if isinstance(self, FunctionTable): + if ( + not self.alias + and not column.name.namespace + or ( + self.alias + and column.name.namespace + and self.alias == column.name.namespace + ) + ): + for col in self.column_list: + if column.name.name == col.alias_or_name.name: + self._ref_columns.append(column) + column.add_table(self) + column.add_expression(col) + column.add_type(col.type) + return True + + for col in self.columns: + if isinstance(col, (Aliasable, Named)): + if ( + not column.alias + and not hasattr(column, "child") + and column.name.name == col.alias_or_name.name + ): + self._ref_columns.append(column) + column.add_table(self) + column.add_expression(col) + column.add_type(col.type) + return True + + # For struct types we can additionally check if there's a column that matches + # the search column's namespace and if there's a nested field that matches the + # search column's name + if ( + hasattr(col, "_type") + and col._type + and isinstance(col.type, StructType) + ) or (not hasattr(col, "_type") and isinstance(col.type, StructType)): + # struct column name + column_namespace = ".".join( + [name.name for name in column.namespace], + ) + subscript_name = column.name.name + column_name = column.name.name + if len(column.namespace) == 2: + column_namespace, column_name, _ = column.column_names() + + if col.alias_or_name.identifier(False) in ( + column_namespace, + column_name, + ): + for type_field in col.type.fields: + if type_field.name.name == subscript_name: + self._ref_columns.append(column) + column.set_struct_ref() + column.add_table(self) + column.add_expression(col) + column.add_type(type_field.type) + return True + return False + + def is_compiled(self) -> bool: + return bool(self._columns) or self._is_compiled + + def in_from_or_lateral(self) -> bool: + """ + Determines if the table expression is referenced in a From clause + """ + + if from_ := self.get_nearest_parent_of_type(From): + return from_.get_nearest_parent_of_type( + Select, + ) is self.get_nearest_parent_of_type(Select) + if lateral := self.get_nearest_parent_of_type(LateralView): + return lateral.get_nearest_parent_of_type( + Select, + ) is self.get_nearest_parent_of_type(Select) + return False + + +@dataclass(eq=False) +class Table(TableExpression, Named): + """ + A type for tables + """ + + _dj_node: Optional[DJNode] = field(repr=False, default=None) + dimension_link: Optional[DimensionLink] = field(repr=False, default=None) + path: Optional[List["Table"]] = field(repr=False, default=None) + + @property + def dj_node(self) -> Optional[DJNode]: + """ + Return the dj_node referenced by this table + """ + return self._dj_node + + def set_dj_node(self, dj_node: DJNode) -> "Table": + """ + Set dj_node referenced by this table + """ + self._dj_node = dj_node + return self + + def __str__(self) -> str: + table_str = str(self.name) + if self.alias: + as_ = " AS " if self.as_ else " " + table_str += f"{as_}{self.alias}" + return table_str + + def is_compiled(self) -> bool: + return super().is_compiled() and (self.dj_node is not None) + + def set_alias(self: TNode, alias: "Name") -> TNode: + self.alias = alias + for col in self._columns: + if col.table: + col.table.alias = self.alias + return self + + async def compile(self, ctx: CompileContext): + # things we can validate here: + # - if the node is a dimension in a groupby, is it joinable? + if self.is_compiled(): + return + + self._is_compiled = True + + table_name = self.identifier(quotes=False) + + # Skip DB lookup for names that don't look like DJ nodes + if SEPARATOR not in table_name: + return + + try: + if not self.dj_node: + db_node = ctx.dependencies_cache.get(table_name) + if db_node: + await refresh_if_needed(ctx.session, db_node, ["current"]) + await refresh_if_needed(ctx.session, db_node.current, ["columns"]) + dj_node = db_node.current + else: + # Include METRIC nodes to support derived metrics (metrics that reference + # other metrics). This allows metric references in FROM clauses. + dj_node = await get_dj_node( + ctx.session, + table_name, + { + DJNodeType.SOURCE, + DJNodeType.TRANSFORM, + DJNodeType.DIMENSION, + DJNodeType.METRIC, + }, + ) + # Cache successful lookups in context + ctx.dependencies_cache[table_name] = dj_node + self.set_dj_node(dj_node) + self._columns = [ + Column(Name(col.name), _type=col.type, _table=self) + for col in self.dj_node.columns + ] + except DJErrorException as exc: + # Don't cache failed lookups - the node might be created later + # Only the pattern-based checks above should add to the cache + ctx.exception.errors.append(exc.dj_error) + + +class Operation(Expression): + """ + A type to overarch types that operate on other expressions + """ + + +class UnaryOpKind(DJEnum): + """ + The accepted unary operations + """ + + Exists = "EXISTS" + Not = "NOT" + + def __str__(self): + return self.value + + +@dataclass(eq=False) +class UnaryOp(Operation): + """ + An operation that operates on a single expression + """ + + op: UnaryOpKind + expr: Expression + + def __str__(self) -> str: + ret = f"{self.op} {self.expr}" + if self.parenthesized: + return f"({ret})" + return ret + + @property + def type(self) -> ColumnType: + type_ = self.expr.type + + def raise_unop_exception(): + raise DJParseException( + f"Incompatible type in unary operation {self}. Got {type} in {self}.", + ) + + if self.op == UnaryOpKind.Not: + if isinstance(type_, BooleanType): + return type_ + raise_unop_exception() + if self.op == UnaryOpKind.Exists: + if isinstance(type_, BooleanType): + return type_ + raise_unop_exception() + + raise DJParseException(f"Unary operation {self.op} not supported!") + + +class ArithmeticUnaryOpKind(DJEnum): + """ + Arithmetic unary operations + """ + + Minus = "-" + Plus = "+" + BitwiseNot = "~" + + def __str__(self): + return self.value + + +@dataclass(eq=False) +class ArithmeticUnaryOp(Operation): + """ + An operation that operates on a single expression + """ + + op: ArithmeticUnaryOpKind + expr: Expression + + def __str__(self) -> str: + return f"{self.op}{self.expr}" + + @property + def type(self) -> ColumnType: + return self.expr.type + + +class BinaryOpKind(DJEnum): + """ + The DJ AST accepted binary operations + """ + + And = "AND" + LogicalAnd = "&&" + Or = "OR" + LogicalOr = "||" + Is = "IS" + Eq = "=" + NotEq = "<>" + NotEquals = "!=" + Gt = ">" + Lt = "<" + GtEq = ">=" + LtEq = "<=" + BitwiseOr = "|" + BitwiseAnd = "&" + BitwiseXor = "^" + Multiply = "*" + Divide = "/" + Plus = "+" + Minus = "-" + Modulo = "%" + NullSafeEq = "<=>" + + +@dataclass(eq=False) +class BinaryOp(Operation): + """ + Represents an operation that operates on two expressions + """ + + op: BinaryOpKind + left: Expression + right: Expression + use_alias_as_name: Optional[bool] = False + + @classmethod + def And( + cls, + left: Expression, + right: Optional[Expression] = None, + *rest: Expression, + ) -> Union["BinaryOp", Expression]: + """ + Create a BinaryOp of kind BinaryOpKind.Eq rolling up all expressions + """ + if right is None: # pragma: no cover + return left + return reduce( + lambda left, right: BinaryOp( + BinaryOpKind.And, + left, + right, + ), + (left, right, *rest), + ) + + @classmethod + def Eq( + cls, + left: Expression, + right: Optional[Expression], + use_alias_as_name: Optional[bool] = False, + ) -> Union["BinaryOp", Expression]: + """ + Create a BinaryOp of kind BinaryOpKind.Eq + """ + if right is None: # pragma: no cover + return left + return BinaryOp( + BinaryOpKind.Eq, + left, + right, + use_alias_as_name=use_alias_as_name, + ) + + def __str__(self) -> str: + left, right = self.left, self.right + if self.use_alias_as_name: + if isinstance(self.right, Column) and self.right.alias: + right = self.right.copy().use_alias_as_name() + if isinstance(self.left, Column) and self.left.alias: + left = self.left.copy().use_alias_as_name() + + # For Druid dialect, convert division to SAFE_DIVIDE to avoid + # runtime division-by-zero errors (Druid's NULLIF doesn't always + # protect against this due to vectorized execution) + dialect = get_render_dialect() + if ( + dialect is not None + and str(dialect) == "druid" + and self.op == BinaryOpKind.Divide + ): + ret = f"SAFE_DIVIDE({left}, {right})" + else: + ret = f"{left} {self.op.value} {right}" + + if self.parenthesized: + return f"({ret})" + return ret + + # Module-level constant for numeric type ordering (avoids repeated instantiation) + _NUMERIC_TYPES_ORDER = { + "double": 0, + "float": 1, + "bigint": 2, + "int": 3, + } + + @property + def type(self) -> ColumnType: + kind = self.op + left_type = self.left.type + right_type = self.right.type + + def raise_binop_exception(): + raise DJParseException( + "Incompatible types in binary operation " + f"{self}. Got left {left_type}, right {right_type}.", + ) + + numeric_types = self._NUMERIC_TYPES_ORDER + + def resolve_numeric_types_binary_operations( + left: ColumnType, + right: ColumnType, + ): + if not left.is_compatible(right): + raise_binop_exception() + if str(left) in numeric_types and str(right) in numeric_types: + if str(left) == str(right): + return left + if numeric_types[str(left)] > numeric_types[str(right)]: + return right + return left + return left + + def check_integer_types(left, right): + if str(left) == "int" and str(right) == "int": + return IntegerType() + return raise_binop_exception() + + BINOP_TYPE_COMBO_LOOKUP: Dict[ + BinaryOpKind, + Callable[[ColumnType, ColumnType], ColumnType], + ] = { + BinaryOpKind.And: lambda left, right: BooleanType(), + BinaryOpKind.Or: lambda left, right: BooleanType(), + BinaryOpKind.Is: lambda left, right: BooleanType(), + BinaryOpKind.Eq: lambda left, right: BooleanType(), + BinaryOpKind.NotEq: lambda left, right: BooleanType(), + BinaryOpKind.NotEquals: lambda left, right: BooleanType(), + BinaryOpKind.Gt: lambda left, right: BooleanType(), + BinaryOpKind.Lt: lambda left, right: BooleanType(), + BinaryOpKind.GtEq: lambda left, right: BooleanType(), + BinaryOpKind.LtEq: lambda left, right: BooleanType(), + BinaryOpKind.BitwiseOr: check_integer_types, + BinaryOpKind.BitwiseAnd: check_integer_types, + BinaryOpKind.BitwiseXor: check_integer_types, + BinaryOpKind.Multiply: resolve_numeric_types_binary_operations, + BinaryOpKind.Divide: resolve_numeric_types_binary_operations, + BinaryOpKind.Plus: resolve_numeric_types_binary_operations, + BinaryOpKind.Minus: resolve_numeric_types_binary_operations, + BinaryOpKind.Modulo: check_integer_types, + } + return BINOP_TYPE_COMBO_LOOKUP[kind](left_type, right_type) + + async def compile(self, ctx: CompileContext): + """ + Compile a DJ Node. By default, we call compile on all immediate children of this node. + """ + if self._is_compiled: + return + for child in self.children: + if not child.is_compiled(): + await child.compile(ctx) + child._is_compiled = True + self._is_compiled = True + + +@dataclass(eq=False) +class FrameBound(Expression): + """ + Represents frame bound in a window function + """ + + start: str + stop: str + + def __str__(self) -> str: + return f"{self.start} {self.stop}" + + +@dataclass(eq=False) +class Frame(Expression): + """ + Represents frame in window function + """ + + frame_type: str + start: FrameBound + end: Optional[FrameBound] = None + + def __str__(self) -> str: + end = f" AND {self.end}" if self.end else "" + between = " BETWEEN" if self.end else "" + return f"{self.frame_type}{between} {self.start}{end}" + + +@dataclass(eq=False) +class Over(Expression): + """ + Represents a function used in a statement + """ + + partition_by: List[Expression] = field(default_factory=list) + order_by: List["SortItem"] = field(default_factory=list) + window_frame: Optional[Frame] = None + + def __str__(self) -> str: + partition_by = ( # pragma: no cover + " PARTITION BY " + ", ".join(str(exp) for exp in self.partition_by) + if self.partition_by + else "" + ) + order_by = ( + " ORDER BY " + ", ".join(str(exp) for exp in self.order_by) + if self.order_by + else "" + ) + consolidated_by = "\n".join( + po_by for po_by in (partition_by, order_by) if po_by + ) + window_frame = f" {self.window_frame}" if self.window_frame else "" + return f"OVER ({consolidated_by}{window_frame})" + + +class SetQuantifier(DJEnum): + """ + The accepted set quantifiers + """ + + All = "ALL" + Distinct = "DISTINCT" + + def __str__(self): + return self.value + + +@dataclass(eq=False) +class Function(Named, Operation): + """ + Represents a function used in a statement + """ + + args: List[Expression] = field(default_factory=list) + quantifier: SetQuantifier | None = None + over: Optional[Over] = None + args_compiled: bool = False + + def __new__( + cls, + name: Name, + args: List[Expression], + quantifier: str = "", + over: Optional[Over] = None, + ): + # Check if function is a table-valued function + if ( + hasattr(name, "name") + and not quantifier + and over is None + and name.name.upper() in table_function_registry + ): + return FunctionTable(name, args=args) + + # If not, create a new Function object + return super().__new__(cls) + + def __getnewargs__(self): + return self.name, self.args + + def __deepcopy__(self, memodict): + return self + + def __str__(self) -> str: + if self.name.name.upper() in function_registry and self.is_runtime(): + return self.function().substitute() + + # Get dialect-specific function name if rendering for a specific dialect + func_name = str(self.name) + dialect = get_render_dialect() + if dialect is not None and self.name.name.upper() in function_registry: + func_class = function_registry[self.name.name.upper()] + if ( + hasattr(func_class, "dialect_names") + and dialect in func_class.dialect_names + ): + func_name = func_class.dialect_names[dialect] + + over = f" {self.over} " if self.over else "" + quantifier = f" {self.quantifier} " if self.quantifier else "" + ret = ( + f"{func_name}({quantifier}{', '.join(str(arg) for arg in self.args)}){over}" + ) + if self.parenthesized: + ret = f"({ret})" + return ret + + def function(self): + return function_registry[self.name.name.upper()] + + def is_aggregation(self) -> bool: + if self.function().is_aggregation: + return True + return super().is_aggregation() + + def is_runtime(self) -> bool: + return self.function().is_runtime + + @property + def type(self) -> ColumnType: + return self.function().infer_type(*self.args) + + async def compile(self, ctx: CompileContext): + """ + Compile a function + """ + self._is_compiled = True + for arg in self.args: + if not arg.is_compiled(): + await arg.compile(ctx) + arg._is_compiled = True + + # FIXME: We currently catch this exception because we are unable + # to infer types for nested lambda functions. For the time being, an easy workaround is to + # add a CAST(...) wrapper around the nested lambda function so that the type hard-coded by + # the argument to CAST + try: + self.function().compile_lambda(*self.args) + except DJParseException as parse_exc: + if "Cannot resolve type of column" in parse_exc.message: + logger.warning(parse_exc) + else: + raise parse_exc + + for child in self.children: + if not child.is_compiled(): + await child.compile(ctx) + child._is_compiled = True + + +class Value(Expression): + """ + Base class for all values number, string, boolean + """ + + def is_aggregation(self) -> bool: + return False + + +@dataclass(eq=False) +class Null(Value): + """ + Null value + """ + + def __str__(self) -> str: + return "NULL" + + @property + def type(self) -> ColumnType: + return NullType() + + +@dataclass(eq=False) +class Number(Value): + """ + Number value + """ + + value: Union[float, int, decimal.Decimal] + _type: Optional[IntegerBase] = None + + def __post_init__(self): + super().__post_init__() + + if ( + not isinstance(self.value, float) + and not isinstance(self.value, int) + and not isinstance(self.value, decimal.Decimal) + ): + cast_exceptions = [] + numeric_types = [int, float, decimal.Decimal] + for cast_type in numeric_types: + try: + self.value = cast_type(self.value) + break + except (ValueError, OverflowError) as exception: + cast_exceptions.append(exception) + if len(cast_exceptions) >= len(numeric_types): + raise DJParseException(message="Not a valid number!") + + def __str__(self) -> str: + return str(self.value) + + @property + def type(self) -> ColumnType: + """ + Determine the type of the numeric expression. + """ + # We won't assume that anyone wants SHORT by default + if isinstance(self.value, int): + check_types = (self._type,) if self._type else (IntegerType(), BigIntType()) + for integer_type in check_types: + if integer_type.check_bounds(self.value): + return integer_type + + raise DJParseException( + f"No Integer type of {check_types} can hold the value {self.value}.", + ) + # + # # Arbitrary-precision floating point + # if isinstance(self.value, decimal.Decimal): + # return DecimalType.parse(self.value) + + # Double-precision floating point + if not (1.18e-38 <= abs(self.value) <= 3.4e38): + return DoubleType() + + # Single-precision floating point + return FloatType() + + +@dataclass(eq=False) +class String(Value): + """ + String value + """ + + value: str + + def __str__(self) -> str: + return self.value + + @property + def type(self) -> ColumnType: + return StringType() + + +@dataclass(eq=False) +class Boolean(Value): + """ + Boolean True/False value + """ + + value: bool + + def __str__(self) -> str: + return str(self.value) + + @property + def type(self) -> ColumnType: + return BooleanType() + + +@dataclass(eq=False) +class IntervalUnit(Value): + """ + Interval unit value + """ + + unit: str + value: Optional[Number] = None + + def __str__(self) -> str: + return f"{self.value or ''} {self.unit}" + + +@dataclass(eq=False) +class Interval(Value): + """ + Interval value + """ + + from_: List[IntervalUnit] + to: Optional[IntervalUnit] = None + + def __str__(self) -> str: + to = f"TO {self.to}" if self.to else "" + return f"INTERVAL {' '.join(str(interval) for interval in self.from_)} {to}" + + @property + def type(self) -> ColumnType: + """ + Determine the type of the interval expression. + """ + units = ["YEAR", "MONTH", "DAY", "HOUR", "MINUTE", "SECOND"] + years_months_units = {"YEAR", "MONTH"} + days_seconds_units = {"DAY", "HOUR", "MINUTE", "SECOND"} + from_ = [DateTimeBase.Unit(f.unit) for f in self.from_] + if all(unit.unit in years_months_units for unit in self.from_): + if ( + self.to is None + or self.to.unit is None + or self.to.unit in years_months_units + ): + # If all the units in the from_ list are YEAR or MONTH, the interval + # is a YearMonthInterval + return YearMonthIntervalType( + sorted(from_, key=lambda u: units.index(u))[0], + self.to, + ) + elif all(unit.unit in days_seconds_units for unit in self.from_): + if ( + self.to is None + or self.to.unit is None + or self.to.unit in days_seconds_units + ): + # If the to_ attribute is None or its unit is DAY, HOUR, MINUTE, or + # SECOND, the interval is a DayTimeInterval + return DayTimeIntervalType( + sorted(from_, key=lambda u: units.index(u))[0], + self.to, + ) + raise DJParseException(f"Invalid interval type specified in {self}.") + + +@dataclass(eq=False) +class Struct(Value): + """ + Struct value + """ + + values: List[Aliasable] + + def __str__(self): + inner = ", ".join(str(value) for value in self.values) + return f"STRUCT({inner})" + + +@dataclass(eq=False) +class Predicate(Operation): + """ + Represents a predicate + """ + + negated: bool = False + + @property + def type(self) -> ColumnType: + return BooleanType() + + +@dataclass(eq=False) +class Between(Predicate): + """ + A between statement + """ + + expr: Expression = field(default_factory=Expression) + low: Expression = field(default_factory=Expression) + high: Expression = field(default_factory=Expression) + + def __str__(self) -> str: + not_ = "NOT " if self.negated else "" + between = f"{not_}{self.expr} BETWEEN {self.low} AND {self.high}" + if self.parenthesized: + between = f"({between})" + return between + + @property + def type(self) -> ColumnType: + expr_type = self.expr.type + low_type = self.low.type + high_type = self.high.type + if expr_type == low_type == high_type: + return BooleanType() + raise DJParseException( + f"BETWEEN expects all elements to have the same type got " + f"{expr_type} BETWEEN {low_type} AND {high_type} in {self}.", + ) + + +@dataclass(eq=False) +class In(Predicate): + """ + An in expression + """ + + expr: Expression = field(default_factory=Expression) + source: Union[List[Expression], "Select"] = field(default_factory=Expression) + + def __str__(self) -> str: + not_ = "NOT " if self.negated else "" + source = ( + str(self.source) + if isinstance(self.source, Select) + else "(" + ", ".join(str(exp) for exp in self.source) + ")" + ) + return f"{self.expr} {not_}IN {source}" + + +@dataclass(eq=False) +class Rlike(Predicate): + """ + A regular expression match statement + """ + + expr: Expression = field(default_factory=Expression) + pattern: Expression = field(default_factory=Expression) + + def __str__(self) -> str: + not_ = "NOT " if self.negated else "" + return f"{not_}{self.expr} RLIKE {self.pattern}" + + +@dataclass(eq=False) +class Like(Predicate): + """ + A string pattern matching statement + """ + + expr: Expression = field(default_factory=Expression) + quantifier: str = "" + patterns: List[Expression] = field(default_factory=list) + escape_char: Optional[str] = None + case_sensitive: Optional[bool] = True + + def __str__(self) -> str: + not_ = "NOT " if self.negated else "" + if self.quantifier: # quantifier means a pattern with multiple elements + pattern = f"({', '.join(str(p) for p in self.patterns)})" + else: + pattern = self.patterns + escape_char = f" ESCAPE '{self.escape_char}'" if self.escape_char else "" + quantifier = f"{self.quantifier} " if self.quantifier else "" + like_type = "LIKE" if self.case_sensitive else "ILIKE" + return f"{not_}{self.expr} {like_type} {quantifier}{pattern}{escape_char}" + + @property + def type(self) -> ColumnType: + expr_type = self.expr.type + if expr_type == StringType(): + return BooleanType() + raise DJParseException( + f"Incompatible type for {self}: {expr_type}. Expected STR", + ) + + +@dataclass(eq=False) +class IsNull(Predicate): + """ + A null check statement + """ + + expr: Expression = field(default_factory=Expression) + + def __str__(self) -> str: + not_ = "NOT " if self.negated else "" + return f"{self.expr} IS {not_}NULL" + + @property + def type(self) -> ColumnType: + return BooleanType() + + +@dataclass(eq=False) +class IsBoolean(Predicate): + """ + A boolean check statement + """ + + expr: Expression = field(default_factory=Expression) + value: str = "UNKNOWN" + + def __str__(self) -> str: + not_ = "NOT " if self.negated else "" + return f"{self.expr} IS {not_}{self.value}" + + @property + def type(self) -> ColumnType: + return BooleanType() + + +@dataclass(eq=False) +class IsDistinctFrom(Predicate): + """ + A distinct from check statement + """ + + expr: Expression = field(default_factory=Expression) + right: Expression = field(default_factory=Expression) + + def __str__(self) -> str: + not_ = "NOT " if self.negated else "" + return f"{self.expr} IS {not_}DISTINCT FROM {self.right}" + + @property + def type(self) -> ColumnType: + return BooleanType() + + +@dataclass(eq=False) +class Case(Expression): + """ + A case statement of branches + """ + + expr: Optional[Expression] = None + conditions: List[Expression] = field(default_factory=list) + else_result: Optional[Expression] = None + operand: Optional[Expression] = None + results: List[Expression] = field(default_factory=list) + + def __str__(self) -> str: + branches = "\n\tWHEN ".join( + f"{(cond)} THEN {(result)}" + for cond, result in zip(self.conditions, self.results) + ) + else_ = f"ELSE {(self.else_result)}" if self.else_result else "" + expr = "" if self.expr is None else f" {self.expr} " + ret = f"""CASE {expr} + WHEN {branches} + {else_} + END""" + if self.parenthesized: + return f"({ret})" + return ret + + @property + def type(self) -> ColumnType: + result_types = [ + res.type + for res in self.results + ([self.else_result] if self.else_result else []) + if res.type + ] + if not all(result_types[0].is_compatible(res) for res in result_types): + raise DJParseException( + f"Not all the same type in CASE! Found: {', '.join([str(type_) for type_ in result_types])}", + ) + return result_types[0] + + +@dataclass(eq=False) +class Subscript(Expression): + """ + Represents a subscript expression + """ + + expr: Expression + index: Expression + + def __str__(self) -> str: + return f"{self.expr}[{self.index}]" + + @property + def type(self) -> ColumnType: + if isinstance(self.expr.type, MapType): + type_ = cast(MapType, self.expr.type) + return type_.value.type + if isinstance(self.expr.type, StructType): + nested_field = self.expr.type.fields_mapping.get( + self.index.value.replace("'", ""), + ) + return nested_field.type + return cast(ListType, self.expr.type).element.type + + +@dataclass(eq=False) +class Lambda(Expression): + """ + Represents a lambda expression + """ + + identifiers: List[Named] + expr: Expression + + def __str__(self) -> str: + if len(self.identifiers) == 1: + id_str = self.identifiers[0] + else: + id_str = "(" + ", ".join(str(iden) for iden in self.identifiers) + ")" + return f"{id_str}->{self.expr}" + + @property + def type(self) -> Union[ColumnType, List[ColumnType]]: + """ + The return type of the lambda function + """ + return self.expr.type + + +@dataclass(eq=False) +class JoinCriteria(Node): + """ + Represents the criteria for a join relation in a FROM clause + """ + + on: Optional[Expression] = None + using: Optional[List[Named]] = None + + def __str__(self) -> str: + if self.on: + return f"ON {self.on}" + else: + id_list = ", ".join(str(iden) for iden in self.using) + return f"USING ({id_list})" + + +@dataclass(eq=False) +class Join(Node): + """ + Represents a join relation in a FROM clause + """ + + join_type: str + right: Expression + criteria: Optional[JoinCriteria] = None + lateral: bool = False + natural: bool = False + + def __str__(self) -> str: + parts = [] + if self.natural: + parts.append("NATURAL") + if self.join_type: + parts.append(f"{str(self.join_type).upper().strip()}") + parts.append("JOIN") + if self.lateral: + parts.append("LATERAL") + parts.append(str(self.right)) + if self.criteria: + parts.append(f"{self.criteria}") + return " ".join(parts) + + +@dataclass(eq=False) +class InlineTable(TableExpression, Named): + """ + An inline table + """ + + values: List[Expression] = field(default_factory=list) + explicit_columns: bool = False + + def __str__(self) -> str: + values = "VALUES " + ",\n\t".join( + [f"({', '.join([str(col) for col in row])})" for row in self.values], + ) + inline_alias = self.alias_or_name.name if self.alias_or_name else "" + alias = inline_alias + ( + f"({', '.join([col.alias_or_name.name for col in self.columns])})" + if self.explicit_columns + else "" + ) + return f"{values} AS {alias}" if alias else values + + +@dataclass(eq=False) +class FunctionTableExpression(TableExpression, Named, Operation): + """ + An uninitializable Type for FunctionTable for use as a + default where a FunctionTable is required but succeeds optional fields + """ + + args: List[Expression] = field(default_factory=list) + + +class FunctionTable(FunctionTableExpression): + """ + Represents a table-valued function used in a statement + """ + + def __str__(self) -> str: + alias = f" {self.alias}" if self.alias else "" + as_ = " AS " if self.as_ else "" + cols = ( + f" {', '.join(col.name.name for col in self.column_list)}" + if self.column_list + else "" + ) + + column_parens = False + if self.name.name.upper() == "UNNEST" or ( + self.name.name.upper() == "EXPLODE" + and not isinstance(self.parent, LateralView) + ): + column_parens = True + + column_list_str = f"({cols})" if column_parens else f"{cols}" + args_str = f"({', '.join(str(col) for col in self.args)})" if self.args else "" + return f"{self.name}{args_str}{alias}{as_}{column_list_str}" + + def set_alias(self: TNode, alias: Name) -> TNode: + self.alias = alias + return self + + async def _type(self, ctx: Optional[CompileContext] = None) -> List[NestedField]: + name = self.name.name.upper() + dj_func = table_function_registry[name] + arg_types = [] + for arg in self.args: + if ctx: + await arg.compile(ctx) + arg_types.append(arg.type) + return dj_func.infer_type(*arg_types) + + async def compile(self, ctx): + if self.is_compiled(): + return + self._is_compiled = True + types = await self._type(ctx) + for type, col in zip_longest(types, self.column_list): + if self.column_list: + if (type is None) or (col is None): + ctx.exception.errors.append( + DJError( + code=ErrorCode.INVALID_SQL_QUERY, + message=( + "Found different number of columns than types" + f" in {self}." + ), + context=str(self), + ), + ) + break + else: + col = Column(type.name) + + col.add_type(type.type) + self._columns.append(col) + + +@dataclass(eq=False) +class LateralView(Node): + """ + Represents a lateral view expression + """ + + outer: bool = False + func: FunctionTableExpression = field(default_factory=FunctionTableExpression) + + def __str__(self) -> str: + parts = ["LATERAL VIEW"] + if self.outer: + parts.append(" OUTER") + parts.append(f" {self.func}") + return "".join(parts) + + +@dataclass(eq=False) +class Relation(Node): + """ + Represents a relation + """ + + primary: Expression + extensions: List[Join] = field(default_factory=list) + + def __str__(self) -> str: + if self.extensions: + extensions = " " + "\n".join([str(ext) for ext in self.extensions]) + else: + extensions = "" + return f"{self.primary}{extensions}" + + +@dataclass(eq=False) +class From(Node): + """ + Represents the FROM clause of a SELECT statement + """ + + relations: List[Relation] = field(default_factory=list) + + def __str__(self) -> str: + parts = ["FROM "] + parts += ",\n".join([str(r) for r in self.relations]) + + return "".join(parts) + + @classmethod + def Table(cls, table_name: str): + """ + Create a FROM clause sourcing from this table name + """ + return From( + relations=[ + Relation( + primary=Table( + Name(table_name), + ), + ), + ], + ) + + +@dataclass(eq=False) +class SetOp(Node): + """ + A set operation + """ + + kind: str = "" # Union, intersect, ... + right: Optional["SelectExpression"] = None + + def __str__(self) -> str: + return f"\n{self.kind}\n{self.right}" + + +@dataclass(eq=False) +class Cast(Expression): + """ + A cast to a specified type + """ + + data_type: ColumnType + expression: Expression + + def __str__(self) -> str: + return f"CAST({self.expression} AS {str(self.data_type).upper()})" + + @property + def type(self) -> ColumnType: + """ + Return the type of the expression + """ + return self.data_type + + async def compile(self, ctx: CompileContext): + """ + In most cases we can short-circuit the CAST expression's compilation, since the output + type is determined directly by `data_type`, so evaluating the expression is unnecessary. + """ + for child in self.find_all(Column): + await child.compile(ctx) + + if self.data_type: + return + + +@dataclass(eq=False) +class SortItem(Node): + """ + Defines a sort item of an expression + """ + + expr: Expression + asc: str + nulls: str + + def __str__(self) -> str: + return f"{self.expr} {self.asc} {self.nulls}".strip() + + +@dataclass(eq=False) +class Organization(Node): + """ + Sets up organization for the query + """ + + order: List[SortItem] = field(default_factory=list) + sort: List[SortItem] = field(default_factory=list) + + def __str__(self) -> str: + ret = "" + ret += f"ORDER BY {', '.join(str(i) for i in self.order)}" if self.order else "" + if ret: + ret += "\n" + ret += f"SORT BY {', '.join(str(i) for i in self.sort)}" if self.sort else "" + return ret + + +@dataclass(eq=False) +class Hint(Node): + """ + An Spark SQL hint statement + """ + + name: Name + parameters: List[Column] = field(default_factory=list) + + def __str__(self) -> str: + params = ( + f"({', '.join(str(param) for param in self.parameters)})" + if self.parameters + else "" + ) + return f"{self.name}{params}" + + +@dataclass(eq=False) +class SelectExpression(Aliasable, Expression): + """ + An uninitializable Type for Select for use as a default where + a Select is required. + """ + + quantifier: str = "" # Distinct, All + projection: List[Union[Aliasable, Expression, Column]] = field(default_factory=list) + from_: Optional[From] = None + group_by: List[Expression] = field(default_factory=list) + having: Optional[Expression] = None + where: Optional[Expression] = None + lateral_views: List[LateralView] = field(default_factory=list) + set_op: Optional[SetOp] = None + limit: Optional[Expression] = None + organization: Optional[Organization] = None + hints: Optional[List[Hint]] = None + + def add_set_op(self, set_op: SetOp): + if self.set_op: + self.set_op.right.add_set_op(set_op) + else: + self.set_op = set_op + + def add_aliases_to_unnamed_columns(self) -> None: + """ + Add an alias to any unnamed columns in the projection (`col{n}`) + """ + projection = [] + for i, expression in enumerate(self.projection): + if not isinstance(expression, Aliasable): + name = f"col{i}" + projection.append(expression.set_alias(Name(name))) + else: + projection.append(expression) + self.projection = projection + + def where_clause_expressions_list(self) -> Optional[List[Expression]]: + """ + Converts the WHERE clause to a list of expressions separated by AND operators + """ + if not self.where: + return self.where + + filters = [] + processing = collections.deque([self.where]) + while processing: + current_clause = processing.pop() + if current_clause: + if ( + isinstance(current_clause, BinaryOp) + and current_clause.op == BinaryOpKind.And + ): + processing.append(current_clause.left) + processing.append(current_clause.right) + else: + filters.append(current_clause) + return filters + + @property + def column_mapping(self) -> Dict[str, "Column"]: + """ + Returns a dictionary with the output column names mapped to the columns + """ + return {col.alias_or_name.name: col for col in self.projection} + + @property + def semantic_column_mapping(self) -> Dict[str, "Column"]: + """ + Returns a dictionary with the semantic entity names mapped to the output columns + """ + return {col.semantic_entity: col for col in self.projection} + + +@dataclass(eq=False) +class QueryParameter(Expression): + """ + Represents a query parameter that can be substituted in a query + """ + + name: str + prefix: str = ":" + quote_style: str = "" + _type: Optional["ColumnType"] = field(repr=False, default=None) + + def __str__(self) -> str: + return self.identifier(quotes=True) + + def identifier(self, quotes: bool = True) -> str: + """ + The full parameter name, including the prefix and quotes + """ + quote_style = "" if not quotes else self.quote_style + return f"{self.prefix}{quote_style}{self.name}{quote_style}" + + @property + def type(self) -> ColumnType: + """ + The type of the parameter + """ + return self._type if self._type else StringType() + + +class Select(SelectExpression): + """ + A single select statement type + """ + + def __str__(self) -> str: + parts = ["SELECT "] + if self.hints: + parts.append(f"/*+ {', '.join(str(hint) for hint in self.hints)} */\n") + if self.quantifier: + parts.append(f"{self.quantifier}\n") + parts.append(",\n\t".join(str(exp) for exp in self.projection)) + if self.from_ is not None: + parts.extend(("\n", str(self.from_), "\n")) + for view in self.lateral_views: + parts.append(f"\n{view}") + if self.where is not None: + parts.extend(("WHERE ", str(self.where), "\n")) + if self.group_by: + parts.extend(("GROUP BY ", ", ".join(str(exp) for exp in self.group_by))) + if self.having is not None: + parts.extend(("HAVING ", str(self.having), "\n")) + select = " ".join(parts).strip() + if self.parenthesized: + select = f"({select})" + if self.set_op: + select += f"\n{self.set_op}" + + if self.organization: + select += f"\n{self.organization}" + if self.limit: + select += f"\nLIMIT {self.limit}" + + if self.alias: + as_ = " AS " if self.as_ else " " + return f"{select}{as_}{self.alias}" + if isinstance(self.parent, Alias): + if self.set_op: + return f"({select})" + return select + + @property + def type(self) -> ColumnType: + if len(self.projection) != 1: + raise DJParseException( + "Can only infer type of a SELECT when it " + f"has a single expression in its projection. In {self}.", + ) + return self.projection[0].type + + async def compile(self, ctx: CompileContext): + if not self.group_by and self.having: + ctx.exception.errors.append( + DJError( + code=ErrorCode.INVALID_SQL_QUERY, + message=( + "HAVING without a GROUP BY is not allowed. " + "Did you want to use a WHERE clause instead?" + ), + context=str(self), + ), + ) + await super().compile(ctx) + + +@dataclass(eq=False) +class Query(TableExpression, UnNamed): + """ + Overarching query type + """ + + select: SelectExpression = field(default_factory=SelectExpression) + ctes: List["Query"] = field(default_factory=list) + # Cache for find_all(TableExpression) to avoid repeated traversals + _table_expr_cache: Optional[List["TableExpression"]] = field( + default=None, + repr=False, + ) + + def get_table_expressions(self) -> List["TableExpression"]: + """ + Get all TableExpression nodes in this query's subtree. + Results are cached for performance. + """ + if self._table_expr_cache is None: + self._table_expr_cache = list(self.find_all(TableExpression)) + return self._table_expr_cache + + def invalidate_table_expr_cache(self): + """Clear the table expression cache (call after AST modifications).""" + self._table_expr_cache = None + + def is_compiled(self) -> bool: + return not any( + self.filter(lambda node: node is not self and not node.is_compiled()), + ) + + async def compile(self, ctx: CompileContext): + if self._is_compiled: + return + + def _compile(info: Tuple[Column, List[TableExpression]]): + """ + Given a list of table sources, find a matching origin table for the column. + """ + col, table_options = info + matching_origin_tables = 0 + for option in table_options: + namespace = col.namespace[0].name if col.namespace else None + table_alias = option.alias.name if option.alias else None + if namespace is None or namespace == table_alias: + result = option.add_column_reference(col) + if result: + matching_origin_tables += 1 + col._is_compiled = True + elif SEPARATOR in col.identifier(): + dimension_node = col.identifier().rsplit(SEPARATOR, 1)[0] + if ( + SEPARATOR in dimension_node + and dimension_node == option.identifier() + ): + result = option.add_column_reference(col) + if result: + matching_origin_tables += 1 + col._is_compiled = True + if matching_origin_tables > 1: + ctx.exception.errors.append( + DJError( + code=ErrorCode.INVALID_COLUMN, + message=f"Column `{col.name.name}` found in multiple tables." + " Consider using fully qualified name.", + ), + ) + + # Work backwards from the table expressions on the query's SELECT clause + # and assign references between the columns and the tables + nearest_query = self.get_nearest_parent_of_type(Query) + cte_mapping = { + cte.alias_or_name.name: cte + for cte in (nearest_query.ctes if nearest_query else []) + } + # Get tables from FROM clause first + from_tables = ( + [ + tbl + for tbl in self.select.from_.find_all(TableExpression) + if tbl.get_nearest_parent_of_type(Query) is self + ] + if self.select.from_ + else [] + ) + # Get the identifiers of tables already in FROM clause to avoid duplicates + from_table_identifiers = { + tbl.identifier() for tbl in from_tables if isinstance(tbl, Table) + } + # Only add referenced_dimension_options for tables NOT already in FROM clause + referenced_dimension_options = [ + Table(Name(col.identifier().rsplit(SEPARATOR, 1)[0])) + for col in self.select.find_all(Column) + if SEPARATOR in col.identifier().rsplit(SEPARATOR, 1)[0] + and col.identifier().rsplit(SEPARATOR, 1)[0] not in from_table_identifiers + ] + table_options = from_tables + referenced_dimension_options + + if table_options: + # Only look up tables not already in the cache + table_names_to_lookup = { + option.identifier() + for option in table_options + if isinstance(option, Table) + and option.identifier() not in ctx.dependencies_cache + } + if table_names_to_lookup: + # Load options for AST compilation + # Includes parents/materializations for Pydantic serialization in validation + eager_options = [ + joinedload(DJNodeRef.current).options( + # Columns with attributes for proper type resolution + selectinload(NodeRevision.columns).options( + joinedload(DBColumn.attributes).joinedload( + ColumnAttribute.attribute_type, + ), + joinedload(DBColumn.dimension), + ), + # Catalog needed for get_table_for_node (SOURCE nodes) + joinedload(NodeRevision.catalog), + # Availability needed for get_table_for_node (materialized nodes) + selectinload(NodeRevision.availability), + # Dimension links for dimension graph traversal + selectinload(NodeRevision.dimension_links).options( + joinedload(DimensionLink.dimension).options( + joinedload(DJNodeRef.current).options( + selectinload(NodeRevision.columns), + ), + ), + ), + # Parents and materializations needed for Pydantic serialization + selectinload(NodeRevision.parents), + selectinload(NodeRevision.materializations), + ), + ] + referenced_nodes = await DJNodeRef.get_by_names( + ctx.session, + table_names_to_lookup, + options=eager_options, + ) + ctx.dependencies_cache.update( + {node.name: node for node in referenced_nodes}, + ) + + for idx, option in enumerate(table_options): + if isinstance(option, Table) and option.name.name in cte_mapping: + option = cte_mapping[option.name.name] + table_options[idx] = option + await option.compile(ctx) + + expressions_to_compile = [ + self.select.projection, + self.select.from_, + self.select.group_by, + self.select.having, + self.select.where, + self.select.organization, + ] + columns_to_compile = [] + for expression in expressions_to_compile: + if expression and not isinstance(expression, list): + columns_to_compile += list(expression.find_all(Column)) + if isinstance(expression, list): + columns_to_compile += [ + col for expr in expression for col in expr.find_all(Column) + ] + + # Filter to only columns that are directly in THIS query's scope. + # Columns in nested subqueries should be compiled when those + # subqueries are compiled, not with the outer query's table_options. + # This prevents columns in inner subqueries from incorrectly + # referencing tables that are only available in the outer scope. + columns_to_compile = [ + col + for col in columns_to_compile + if col.get_nearest_parent_of_type(Query) is self + ] + + if columns_to_compile: + with ThreadPoolExecutor() as executor: + list( + executor.map( + _compile, + [(col, table_options) for col in columns_to_compile], + ), + ) + + for child in self.children: + if child is not self and not child.is_compiled(): + await child.compile(ctx) + + for expr in self.select.projection: + self._columns += expr.columns + self._is_compiled = True + + def bake_ctes(self) -> "Query": + """ + Add ctes into the select and return the select + + Note: This destroys the structure of the query which cannot be undone + you may want to deepcopy it first + """ + + for cte in self.ctes: + for tbl in self.filter( + lambda node: isinstance(node, Table) + and node.identifier(False) == cte.alias_or_name.identifier(False), + ): + tbl.swap(cte) + self.ctes = [] + return self + + def to_cte(self, cte_name: Name, parent_ast: Optional["Query"] = None) -> "Query": + """ + Prepares the query to be a CTE + """ + self.alias = cte_name + self.parenthesized = True + self.as_ = True + if parent_ast: + self.set_parent(parent_ast, "ctes") + return self + + def __str__(self) -> str: + is_cte = self.parent is not None and self.parent_key == "ctes" + ctes = ",\n".join(str(cte) for cte in self.ctes) + if ctes: + ctes += "\n\n" + with_ = f"WITH\n{ctes}" if ctes else "" + + parts = [f"{with_}{self.select}\n"] + query = "".join(parts) + newline = "\n" if is_cte else "" + if self.parenthesized: + query = f"({newline}{query.strip()}{newline})" + if self.alias: + as_ = " AS " if self.as_ else " " + if is_cte: + query = f"{self.alias}{as_}{query}" + else: + query = f"{query}{as_}{self.alias}" + return query + + def set_alias(self: TNode, alias: "Name") -> TNode: + self.alias = alias + for col in self._columns: + if isinstance(col, Column) and col.table is not None: + col.table.alias = self.alias + return self + + async def extract_dependencies( + self, + context: Optional[CompileContext] = None, + ) -> Tuple[Dict[NodeRevision, List[Table]], Dict[str, List[Table]]]: + """ + Find all dependencies in a compiled query. + + For queries with FROM clauses: finds Table references. + For queries without FROM (e.g., derived metrics): finds Column references + with namespaces that point to node names (e.g., default.metric_a). + """ + deps: Dict[NodeRevision, List[Table]] = {} + danglers: Dict[str, List[Table]] = {} + + # Check if this is a query without FROM (e.g., derived metric) + has_from = self.select.from_ is not None + + if has_from: + # Standard case: compile and extract Table references + if not self.is_compiled(): + if not context: + raise DJQueryBuildException( + "Context not provided for query compilation!", + ) + await self.compile(context) + + for table in self.find_all(Table): + if node := table.dj_node: + deps[node] = deps.get(node, []) + deps[node].append(table) + else: + name = table.identifier(quotes=False) + danglers[name] = danglers.get(name, []) + danglers[name].append(table) + else: + # No FROM clause (derived metric): look for Column references with namespaces + # These are node references like default.metric_a, default.metric_b + if not context: + raise DJQueryBuildException( + "Context not provided for dependency extraction!", + ) + + for col in self.find_all(Column): + # No FROM clause means this is a derived metric query + # Column references with namespaces could be: + # 1. Metric references: default.metric_a, ns.subns.metric_b + # 2. Dimension attribute refs: default.dim.column, ns.subns.dim.column + # + # IMPORTANT: Only METRIC references should be added as dependencies/parents. + # Dimension attribute references are just for ordering/filtering and should + # NOT be treated as parents (which would incorrectly limit available dimensions). + if col.namespace: + node_name = col.identifier() + if node_name in [d.name for d in deps.keys()]: + continue # Already found this dependency + + # First, try looking up the full identifier as a METRIC node + # Only metrics should be added as parents for derived metrics + try: + dj_node = await get_dj_node( + context.session, + node_name, + {DJNodeType.METRIC}, + ) + if dj_node: + deps[dj_node] = deps.get(dj_node, []) + continue # Found as a metric, move to next column + except DJErrorException: + pass # Not a metric, check if it's a valid dimension attribute + + # If not a metric, check if it's a dimension attribute reference + # We validate these exist but do not add them as dependencies + if len(col.namespace) >= 1: + namespace_parts = [n.name for n in col.namespace] + column_name = col.alias_or_name.name + potential_dim_name = ".".join(namespace_parts) + + try: + dim_node = await get_dj_node( + context.session, + potential_dim_name, + {DJNodeType.DIMENSION}, + ) + if dim_node: + # Dimension attribute reference is valid, but don't add + # as a dependency - it's just used for ordering/filtering + continue + except DJErrorException: + pass # Not a dimension either + + # Neither a metric nor a valid dimension attribute - add to danglers + danglers[node_name] = danglers.get(node_name, []) + + # Also compile the query to resolve column types for derived metrics + # This triggers Column.compile which handles metric reference type resolution + if not self.is_compiled(): + await self.compile(context) + + return deps, danglers + + @property + def type(self) -> ColumnType: + return self.select.type diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/__init__.py b/datajunction-server/datajunction_server/sql/parsing/backends/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/antlr4.py b/datajunction-server/datajunction_server/sql/parsing/backends/antlr4.py new file mode 100644 index 000000000..6cc40b995 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/antlr4.py @@ -0,0 +1,1293 @@ +# mypy: ignore-errors +import copy +import inspect +import logging +import os +from functools import lru_cache +import re +from typing import TYPE_CHECKING, List, Optional, Tuple, Union, cast + +import antlr4 +from antlr4 import InputStream, RecognitionException +from antlr4.atn.PredictionMode import PredictionMode +from antlr4.error.ErrorListener import ErrorListener +from antlr4.error.Errors import ParseCancellationException +from antlr4.error.ErrorStrategy import BailErrorStrategy + +import datajunction_server.sql.parsing.types as ct +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.ast import UnaryOpKind +from datajunction_server.sql.parsing.backends.exceptions import DJParseException +from datajunction_server.sql.parsing.backends.grammar.generated.SqlBaseLexer import ( + SqlBaseLexer, +) +from datajunction_server.sql.parsing.backends.grammar.generated.SqlBaseParser import ( + SqlBaseParser, +) +from datajunction_server.sql.parsing.backends.grammar.generated.SqlBaseParser import ( + SqlBaseParser as sbp, +) + +if TYPE_CHECKING: + from datajunction_server.sql.parsing.types import ColumnType + +logger = logging.getLogger(__name__) + + +class RemoveIdentifierBackticks(antlr4.ParseTreeListener): + @staticmethod + def exitQuotedIdentifier(ctx): + def identity(token): + return token + + return identity + + @staticmethod + def enterNonReserved(ctx): + def add_backtick(token): + return "`{0}`".format(token) + + return add_backtick + + +class ParseErrorListener(ErrorListener): + def syntaxError( + self, + recognizer, + offendingSymbol, + line, + column, + msg, + e, + ): + raise SqlSyntaxError(f"Parse error {line}:{column}:", msg) + + +class UpperCaseCharStream: + """ + Make SQL token detection case insensitive and allow identifier without + backticks to be seen as e.g. column names + """ + + def __init__(self, wrapped): + self.wrapped = wrapped + + def getText(self, interval, *args): + if args or (self.size() > 0 and (interval.b - interval.a >= 0)): + return self.wrapped.getText(interval, *args) + return "" + + def LA(self, i: int): + token = self.wrapped.LA(i) + if token in (0, -1): + return token + return ord(chr(token).upper()) + + def __getattr__(self, item): + return getattr(self.wrapped, item) + + +class ExplicitBailErrorStrategy(BailErrorStrategy): + """ + Bail Error Strategy throws a ParseCancellationException, + This strategy simply throw a more explicit exception + """ + + def recover(self, recognizer, e: RecognitionException): + try: + super(ExplicitBailErrorStrategy, self).recover(recognizer, e) + except ParseCancellationException: + raise SqlParsingError from e + + +class EarlyBailSqlLexer(SqlBaseLexer): + def recover(self, recognition_exc: RecognitionException): + raise SqlLexicalError from recognition_exc + + +def build_parser(stream, strict_mode=False, early_bail=True, prediction_mode=None): + """ + Build an ANTLR4 parser for SQL. + + Args: + stream: Input stream + strict_mode: If True, use case-sensitive parsing + early_bail: If True, bail out early on errors + prediction_mode: PredictionMode.SLL for fast parsing, PredictionMode.LL for full parsing + """ + if not strict_mode: + stream = UpperCaseCharStream(stream) + if early_bail: + lexer = EarlyBailSqlLexer(stream) + else: + lexer = SqlBaseLexer(stream) + lexer.removeErrorListeners() + lexer.addErrorListener(ParseErrorListener()) + token_stream = antlr4.CommonTokenStream(lexer) + parser = SqlBaseParser(token_stream) + parser.addParseListener(RemoveIdentifierBackticks()) + parser.removeErrorListeners() + parser.addErrorListener(ParseErrorListener()) + if early_bail: + parser._errHandler = ExplicitBailErrorStrategy() + + # Set prediction mode if specified + if prediction_mode is not None: + parser._interp.predictionMode = prediction_mode + + return parser + + +class SqlParsingError(Exception): + pass + + +class SqlLexicalError(SqlParsingError): + pass + + +class SqlSyntaxError(SqlParsingError): + pass + + +def string_to_ast(string, rule, *, strict_mode=False, debug=False, early_bail=False): + parser = build_string_parser(string, strict_mode, early_bail) + tree = getattr(parser, rule)() + if debug: + print_tree(tree, printer=logger.warning) + return tree + + +def build_string_parser( + string, + strict_mode=False, + early_bail=True, + prediction_mode=None, +): + string_as_stream = InputStream(string) + parser = build_parser(string_as_stream, strict_mode, early_bail, prediction_mode) + return parser + + +def parse_sql(string, rule, converter=None, debug=False): + tree = string_to_ast(string, rule, debug=debug) + return converter(tree) if converter else tree + + +def parse_sql_with_sll_fallback(string, rule, converter=None, debug=False): + """ + Parse SQL using SLL mode first (faster), falling back to LL mode on failure. + + SLL (Simple LL) mode is 2-10x faster but may fail on some complex queries. + LL mode always works but is slower. + """ + try: + # Try SLL mode first (much faster) + parser = build_string_parser(string, prediction_mode=PredictionMode.SLL) + tree = getattr(parser, rule)() + if debug: + print_tree(tree, printer=logger.warning) + return converter(tree) if converter else tree + except Exception: + # SLL failed, fall back to LL mode + logger.debug(f"SLL parsing failed, falling back to LL mode for query") + return parse_sql(string, rule, converter, debug) + + +def parse_statement(string, converter=None, debug=False): + return parse_sql(string, "singleStatement", converter, debug) + + +def print_tree(tree, printer=print): + for line in tree_to_strings(tree, indent=0): + printer(line) + + +def tree_to_strings(tree, indent=0): + symbol = ("[" + tree.symbol.text + "]") if hasattr(tree, "symbol") else "" + node_as_string = type(tree).__name__ + symbol + result = ["|" + "-" * indent + node_as_string] + if hasattr(tree, "children") and tree.children: + for child in tree.children: + result += tree_to_strings(child, indent + 1) + return result + + +def parse_rule(sql: str, rule: str) -> Union[ast.Node, "ColumnType"]: + """ + Parse a string into a DJ ast using the ANTLR4 backend. + + Uses SLL mode first (faster), falls back to LL mode if needed. + """ + antlr_tree = parse_sql_with_sll_fallback(sql, rule) + ast_tree = visit(antlr_tree) + return ast_tree + + +@lru_cache(maxsize=128) +def _cached_parse(sql: Optional[str]) -> ast.Query: + """ + Parse a string sql query into a DJ query AST and cache it. + """ + return parse(sql) + + +def parse(sql: Optional[str]) -> ast.Query: + """ + Parse a string sql query into a DJ ast Query + """ + if not sql: + raise DJParseException("Empty query provided!") + try: + return cast(ast.Query, parse_rule(sql, "singleStatement")) + except SqlParsingError as exc: + raise DJParseException(message=f"Error parsing SQL `{sql}`: {exc}") from exc + + +def cached_parse(sql: Optional[str]) -> ast.Query: + """ + Parse a string sql query into a DJ ast Query + """ + return copy.deepcopy(_cached_parse(sql)) + + +TERMINAL_NODE = antlr4.tree.Tree.TerminalNodeImpl + + +class Visitor: + def __init__(self): + self.registry = {} + + def register(self, func): + params = inspect.signature(func).parameters + type_ = params[list(params.keys())[0]].annotation + if type_ == inspect.Parameter.empty: + raise ValueError( + "No type annotation found for the first parameter of the visitor.", + ) + if type_ in self.registry: + raise ValueError( + f"A visitor is already registered for type {type_.__name__}.", + ) + self.registry[type_] = func + return func + + def __call__(self, ctx): + if type(ctx) == TERMINAL_NODE: + return None + func = self.registry.get(type(ctx), None) + if func is None: + line, col = ctx.start.line, ctx.start.column + raise TypeError( + f"{line}:{col} No visitor registered for type {type(ctx).__name__}", + ) + result = func(ctx) + + if result is None: + line, col = ctx.start.line, ctx.start.column + raise DJParseException(f"{line}:{col} Could not parse {ctx.getText()}") + if ( + hasattr(result, "parenthesized") + and result.parenthesized is None + and hasattr(ctx, "LEFT_PAREN") + ): + if text := ctx.getText(): + text = text.strip() + if (text[0] == "(") and (text[-1] == ")"): + result.parenthesized = True + if ( + hasattr(ctx, "AS") + and ctx.AS() + and hasattr(result, "as_") + and result.as_ is None + ): + result = result.set_as(True) + return result + + +visit = Visitor() + + +@visit.register +def _(ctx: list, nones=False): + return list( + filter( + lambda child: child is not None if nones is False else True, + map(visit, ctx), + ), + ) + + +@visit.register +def _(ctx: sbp.Any_valueContext): + return ast.Function(ast.Name("ANY_VALUE"), args=[visit(ctx.expression())]) + + +@visit.register +def _(ctx: sbp.SingleStatementContext): + return visit(ctx.statement()) + + +@visit.register +def _(ctx: sbp.StatementDefaultContext): + return visit(ctx.query()) + + +@visit.register +def _(ctx: sbp.InlineTableDefault1Context): + return visit(ctx.inlineTable()) + + +@visit.register +def _(ctx: sbp.InlineTableDefault2Context): + return visit(ctx.inlineTable()) + + +@visit.register +def _(ctx: sbp.RowConstructorContext): + namedExpr = visit(ctx.namedExpression()) + return namedExpr + + +@visit.register +def _(ctx: sbp.InlineTableContext): + args = visit(ctx.expression()) + alias, columns = visit(ctx.tableAlias()) + + # Generate default column aliases if they weren't specified + col_args = args[0] if isinstance(args[0], list) else args + inline_table_columns = ( + [ast.Column(col, _type=value.type) for col, value in zip(columns, col_args)] + if columns + else [ + ast.Column(ast.Name(f"col{idx + 1}"), _type=value.type) + for idx, value in enumerate(col_args) + ] + ) + return ast.InlineTable( + name=alias, + _columns=inline_table_columns, + explicit_columns=len(columns) > 0, + values=[[value] if not isinstance(value, list) else value for value in args], + ) + + +@visit.register +def _(ctx: sbp.QueryContext): + ctes = [] + if ctes_ctx := ctx.ctes(): + ctes = visit(ctes_ctx) + limit, organization = visit(ctx.queryOrganization()) + select = visit(ctx.queryTerm()) + select.limit = limit + select.organization = organization + return ast.Query(ctes=ctes, select=select) + + +@visit.register +def _(ctx: sbp.QueryOrganizationContext): + order = visit(ctx.order) + sort = visit(ctx.sort) + org = ast.Organization(order, sort) + limit = None + if ctx.limit: + limit = visit(ctx.limit) + return limit, org + + +@visit.register +def _(ctx: sbp.SortItemContext): + expr = visit(ctx.expression()) + order = "" + if ordering := ctx.ordering: + order = ordering.text.upper() + nulls = "" + if null_order := ctx.nullOrder: + nulls = "NULLS " + null_order.text + return ast.SortItem(expr, order, nulls) + + +@visit.register +def _(ctx: sbp.ExpressionContext): + return visit(ctx.booleanExpression()) + + +@visit.register +def _(ctx: sbp.BooleanLiteralContext): + boolean_value_mapping = {"true": True, "false": False} + boolean_value = ctx.booleanValue().getText().lower() + if boolean_value in boolean_value_mapping: + return ast.Boolean(boolean_value_mapping[boolean_value]) + raise DJParseException(f"Invalid boolean value {boolean_value}!") + + +@visit.register +def _(ctx: sbp.BooleanValueContext): + return ast.Boolean(visit(ctx.getText())) + + +@visit.register +def _(ctx: sbp.ArithmeticUnaryContext): + value_expr = visit(ctx.valueExpression()) + if ctx.MINUS(): + return ast.ArithmeticUnaryOp( + op=ast.ArithmeticUnaryOpKind.Minus, + expr=value_expr, + ) + if ctx.PLUS(): + return ast.ArithmeticUnaryOp(op=ast.ArithmeticUnaryOpKind.Plus, expr=value_expr) + if ctx.TILDE(): + return ast.ArithmeticUnaryOp( + op=ast.ArithmeticUnaryOpKind.BitwiseNot, + expr=value_expr, + ) + raise DJParseException("blah") + + +@visit.register +def _(ctx: sbp.PredicatedContext): + if value_expr := ctx.valueExpression(): + if not ctx.predicate(): + return visit(value_expr) + if predicate_ctx := ctx.predicate(): + return visit(predicate_ctx) + + +@visit.register +def _(ctx: sbp.PredicateContext) -> ast.Predicate: + negated = True if ctx.NOT() else False + any = True if ctx.ANY() else False + all = True if ctx.ALL() else False + some = True if ctx.SOME() else False + expr = visit(ctx.parentCtx.valueExpression()) + if ctx.BETWEEN(): + low = visit(ctx.lower) + high = visit(ctx.upper) + return ast.Between(negated, expr, low, high) + if ctx.DISTINCT(): + right = visit(ctx.right) + return ast.IsDistinctFrom(negated, expr, right) + if ctx.LIKE(): + pattern = visit(ctx.pattern) + return ast.Like(negated, expr, all or any or some or "", pattern, ctx.ESCAPE()) + if ctx.ILIKE(): + pattern = visit(ctx.pattern) + return ast.Like( + negated, + expr, + all or any or some or "", + pattern, + ctx.ESCAPE(), + case_sensitive=False, + ) + if ctx.IN(): + if source_ctx := ctx.query(): + source = visit(source_ctx.queryTerm()) + source.parenthesized = True + if source_ctx := ctx.expression(): + source = visit(source_ctx) + return ast.In(negated, expr, source) + if ctx.IS(): + if ctx.NULL(): + return ast.IsNull(negated, expr) + if ctx.TRUE(): + return ast.IsBoolean(negated, expr, "TRUE") + if ctx.FALSE(): + return ast.IsBoolean(negated, expr, "FALSE") + if ctx.UNKNOWN(): + return ast.IsBoolean(negated, expr, "UNKNOWN") + if ctx.RLIKE(): + pattern = visit(ctx.pattern) + return ast.Rlike(negated, expr, pattern) + return + + +@visit.register +def _(ctx: sbp.SubscriptContext): + return ast.Subscript( + expr=visit(ctx.primaryExpression()), + index=visit(ctx.valueExpression()), + ) + + +@visit.register +def _(ctx: sbp.ValueExpressionContext): + if primary := ctx.primaryExpression(): + return visit(primary) + + +@visit.register +def _(ctx: sbp.ValueExpressionDefaultContext): + return visit(ctx.primaryExpression()) + + +@visit.register +def _(ctx: sbp.ArithmeticBinaryContext): + return ast.BinaryOp( + ast.BinaryOpKind(ctx.operator.text.upper()), + visit(ctx.left), + visit(ctx.right), + ) + + +@visit.register +def _(ctx: sbp.ColumnReferenceContext): + return ast.Column(visit(ctx.identifier())) + + +@visit.register +def _(ctx: sbp.QueryTermDefaultContext): + return visit(ctx.queryPrimary()) + + +@visit.register +def _(ctx: sbp.QueryPrimaryDefaultContext): + return visit(ctx.querySpecification()) + + +@visit.register +def _(ctx: sbp.QueryTermContext): + if primary_query := ctx.queryPrimary(): + return visit(primary_query) + + +@visit.register +def _(ctx: sbp.QueryPrimaryContext): + return visit(ctx.querySpecification()) + + +@visit.register +def _(ctx: sbp.RegularQuerySpecificationContext): + quantifier, projection, hints = visit(ctx.selectClause()) + from_ = visit(ctx.fromClause()) if ctx.fromClause() else None + laterals = visit(ctx.lateralView()) + group_by = visit(ctx.aggregationClause()) if ctx.aggregationClause() else [] + where = None + if where_clause := ctx.whereClause(): + where = visit(where_clause) + having = None + if having_clause := ctx.havingClause(): + having = visit(having_clause) + select = ast.Select( + quantifier=quantifier, + projection=projection, + from_=from_, + lateral_views=laterals, + where=where, + group_by=group_by, + having=having, + hints=hints, + ) + if from_ and from_.laterals: + select.lateral_views += from_.laterals + del from_.laterals + return select + + +@visit.register +def _(ctx: sbp.HavingClauseContext): + return visit(ctx.booleanExpression()) + + +@visit.register +def _(ctx: sbp.AggregationClauseContext): + return visit(ctx.groupByClause()) + + +@visit.register +def _(ctx: sbp.GroupByClauseContext): + if grouping_analytics := ctx.groupingAnalytics(): + return visit(grouping_analytics) + if expression := ctx.expression(): + return visit(expression) + + +@visit.register +def _(ctx: sbp.GroupingAnalyticsContext): + grouping_set = visit(ctx.groupingSet()) + if ctx.ROLLUP(): + return ast.Function(ast.Name(name="ROLLUP"), args=grouping_set) + if ctx.CUBE(): + return ast.Function(ast.Name(name="CUBE"), args=grouping_set) + return grouping_set + + +@visit.register +def _(ctx: sbp.GroupingSetContext): + return ast.Column(ctx.getText()) + + +@visit.register +def _(ctx: sbp.SelectClauseContext): + quantifier = "" + if quant := ctx.setQuantifier(): + quantifier = visit(quant) + projection = visit(ctx.namedExpressionSeq()) + hints = [statement for hint in ctx.hints for statement in visit(hint)] + return quantifier, projection, hints + + +@visit.register +def _(ctx: sbp.HintContext) -> List[ast.Hint]: + return [visit(statement) for statement in ctx.hintStatements] + + +@visit.register +def _(ctx: sbp.HintStatementContext) -> ast.Hint: + name = visit(ctx.hintName) + parameters = [visit(param) for param in ctx.parameters] + return ast.Hint( + name=name, + parameters=parameters, + ) + + +@visit.register +def _(ctx: sbp.SetQuantifierContext): + if ctx.DISTINCT(): + return "DISTINCT" + if ctx.ALL(): + return "ALL" + return "" + + +@visit.register +def _(ctx: sbp.NamedExpressionSeqContext): + return visit(ctx.namedExpression()) + + +@visit.register +def _(ctx: sbp.NamedExpressionContext): + expr = visit(ctx.expression()) + if alias := ctx.name: + return expr.set_alias(visit(alias)) + + if col_names := ctx.identifierList(): + if not isinstance(expr, ast.TableExpression): + raise SqlSyntaxError( + f"{ctx.start.line}:{ctx.start.column} Cannot use an identifier" + "list as an alias on a non-Table Expression.", + ) + expr.column_list = [ast.Column(name) for name in visit(col_names)] + if ctx.AS(): + expr.set_as(True) + return expr + + +@visit.register +def _(ctx: sbp.ErrorCapturingIdentifierContext): + name = visit(ctx.identifier()) + if extra := visit(ctx.errorCapturingIdentifierExtra()): + name.name += extra + name.quote_style = '"' + return name + + +@visit.register +def _(ctx: sbp.ErrorIdentContext): + return ctx.getText() + + +@visit.register +def _(ctx: sbp.RealIdentContext): + return "" + + +@visit.register +def _(ctx: sbp.FirstContext): + return ast.Function(ast.Name("FIRST"), args=[visit(ctx.expression())]) + + +@visit.register +def _(ctx: sbp.IdentifierContext): + return visit(ctx.strictIdentifier()) + + +@visit.register +def _(ctx: sbp.UnquotedIdentifierContext): + return ast.Name(ctx.getText()) + + +@visit.register +def _(ctx: sbp.ConstantDefaultContext): + return visit(ctx.constant()) + + +@visit.register +def _(ctx: sbp.NumericLiteralContext): + return ast.Number(ctx.number().getText()) + + +@visit.register +def _(ctx: sbp.ParameterLiteralContext): + raw = ctx.getText() + match = re.match(r'^:("?`?)([\w.]+)(`?"?)$', raw) + if not match: + raise ValueError(f"Invalid query parameter format: {raw}") + param_name = match.group(2) + return ast.QueryParameter(name=param_name, quote_style=match.group(3)) + + +@visit.register +def _(ctx: sbp.StringLitContext): + if string := ctx.STRING(): + return string.getSymbol().text.strip("'") + return ctx.DOUBLEQUOTED_STRING().getSymbol().text.strip('"') + + +@visit.register +def _(ctx: sbp.DereferenceContext): + base = visit(ctx.base) + field = visit(ctx.fieldName) + if isinstance(base, ast.Subscript) and isinstance(base.expr, ast.Column): + field.namespace = base.expr.name + if isinstance(base, ast.Column): + field.namespace = base.name + base.name = field + return base + + +@visit.register +def _(ctx: sbp.FunctionCallContext): + name = visit(ctx.functionName()) + quantifier = ( + ast.SetQuantifier(visit(ctx.setQuantifier())) if ctx.setQuantifier() else None + ) + over = visit(ctx.windowSpec()) if ctx.windowSpec() else None + args = visit(ctx.argument) + return ast.Function(name, args, quantifier=quantifier, over=over) + + +@visit.register +def _(ctx: sbp.WindowDefContext): + partition_by = visit(ctx.partition) + order_by = visit(ctx.sortItem()) + window_frame = visit(ctx.windowFrame()) if ctx.windowFrame() else None + return ast.Over( + partition_by=partition_by, + order_by=order_by, + window_frame=window_frame, + ) + + +@visit.register +def _(ctx: sbp.WindowFrameContext): + start = visit(ctx.start) + end = visit(ctx.end) if ctx.end else None + return ast.Frame(ctx.frameType.text, start=start, end=end) + + +@visit.register +def _(ctx: sbp.FrameBoundContext): + return ast.FrameBound(start=ctx.start.text, stop=ctx.stop.text) + + +@visit.register +def _(ctx: sbp.FunctionNameContext): + if qual_name := ctx.qualifiedName(): + return visit(qual_name) + return ast.Name(ctx.getText()) + + +@visit.register +def _(ctx: sbp.QualifiedNameContext): + names = visit(ctx.children) + for i in range(len(names) - 1, 0, -1): + names[i].namespace = names[i - 1] + return names[-1] + + +@visit.register +def _(ctx: sbp.StarContext): + namespace = None + if qual_name := ctx.qualifiedName(): + namespace = visit(qual_name) + star = ast.Wildcard() + star.name.namespace = namespace + return star + + +@visit.register +def _(ctx: sbp.TableNameContext): + if ctx.temporalClause(): + return + name = visit(ctx.multipartIdentifier()) + table_alias = ctx.tableAlias() + alias, cols = visit(table_alias) + table = ast.Table(name, column_list=cols) + if alias: + table = table.set_alias(ast.Name(alias)) + if table_alias.AS(): + table = table.set_as(True) + return table + + +@visit.register +def _(ctx: sbp.MultipartIdentifierContext): + names = visit(ctx.children) + for i in range(len(names) - 1, 0, -1): + names[i].namespace = names[i - 1] + return names[-1] + + +@visit.register +def _(ctx: sbp.QuotedIdentifierAlternativeContext): + return visit(ctx.quotedIdentifier()) + + +@visit.register +def _(ctx: sbp.QuotedIdentifierContext): + if ident := ctx.BACKQUOTED_IDENTIFIER(): + return ast.Name(ident.getText()[1:-1], quote_style="`") + return ast.Name(ctx.DOUBLEQUOTED_STRING().getText()[1:-1], quote_style='"') + + +@visit.register +def _(ctx: sbp.LateralViewContext): + outer = bool(ctx.OUTER()) + func_name = visit(ctx.qualifiedName()) + func_args = visit(ctx.expression()) + table_name = visit(ctx.tblName) + function_table_name = table_name if table_name != ast.Name(name="AS") else None + func = ast.FunctionTable(func_name, args=func_args, alias=function_table_name) + func.set_alias(function_table_name) + if function_table_name: + func.column_list = [ + ast.Column(name=ast.Name(name=name.name, namespace=function_table_name)) + for name in visit(ctx.colName) + ] + else: + func.column_list = [ast.Column(name=name) for name in visit(ctx.colName)] + if ctx.AS() or table_name == ast.Name(name="AS"): + func.set_as(True) + return ast.LateralView(outer, func) + + +@visit.register +def _(ctx: sbp.RelationContext): + primary_relation = visit(ctx.relationPrimary()) + extensions = visit(ctx.relationExtension()) if ctx.relationExtension() else [] + return ast.Relation(primary_relation, extensions) + + +@visit.register +def _(ctx: sbp.RelationExtensionContext): + if join_rel := ctx.joinRelation(): + return visit(join_rel) + + +@visit.register +def _(ctx: sbp.JoinTypeContext): + anti = f"{ctx.ANTI()} " if ctx.ANTI() else "" + cross = f"{ctx.CROSS()} " if ctx.CROSS() else "" + full = f"{ctx.FULL()} " if ctx.FULL() else "" + inner = f"{ctx.INNER()} " if ctx.INNER() else "" + outer = f"{ctx.OUTER()} " if ctx.OUTER() else "" + semi = f"{ctx.SEMI()} " if ctx.SEMI() else "" + left = f"{ctx.LEFT()} " if ctx.LEFT() else "" + right = f"{ctx.RIGHT()} " if ctx.RIGHT() else "" + return f"{left}{right}{cross}{full}{semi}{outer}{inner}{anti}" + + +@visit.register +def _(ctx: sbp.JoinRelationContext): + kind = visit(ctx.joinType()) + lateral = bool(ctx.LATERAL()) + natural = bool(ctx.NATURAL()) + criteria = None + right = visit(ctx.right) + if join_criteria := ctx.joinCriteria(): + criteria = visit(join_criteria) + return ast.Join(kind, right, criteria=criteria, lateral=lateral, natural=natural) + + +@visit.register +def _(ctx: sbp.TableValuedFunctionContext): + return visit(ctx.functionTable()) + + +@visit.register +def _(ctx: sbp.FunctionTableContext): + name = visit(ctx.funcName) + args = visit(ctx.expression()) + alias, cols = visit(ctx.tableAlias()) + func_table = ast.FunctionTable( + name, + args=args, + column_list=[ast.Column(name) for name in cols], + alias=alias, + ) + if not cols: + func_table.column_list = alias + return func_table + + +@visit.register +def _(ctx: sbp.TableAliasContext): + if ident := ctx.strictIdentifier(): + identifier_list = visit(ctx.identifierList()) if ctx.identifierList() else [] + return visit(ident), identifier_list + return None, [] + + +@visit.register +def _(ctx: sbp.IdentifierListContext): + return visit(ctx.identifierSeq()) + + +@visit.register +def _(ctx: sbp.IdentifierSeqContext): + return visit(ctx.ident) + + +@visit.register +def _(ctx: sbp.FromClauseContext): + relations = visit(ctx.relation()) + laterals = visit(ctx.lateralView()) + if ctx.pivotClause() or ctx.unpivotClause(): + return + from_ = ast.From(relations) + from_.laterals = laterals + return from_ + + +@visit.register +def _(ctx: sbp.JoinCriteriaContext): + if expr := ctx.booleanExpression(): + return ast.JoinCriteria(on=visit(expr)) + return ast.JoinCriteria(using=(visit(ctx.identifierList()))) + + +@visit.register +def _(ctx: sbp.ComparisonContext): + left, right = visit(ctx.left), visit(ctx.right) + op = visit(ctx.comparisonOperator()) + return ast.BinaryOp(ast.BinaryOpKind(op.upper()), left, right) + + +@visit.register +def _(ctx: sbp.ComparisonOperatorContext): + return ctx.getText() + + +@visit.register +def _(ctx: sbp.WhereClauseContext): + return visit(ctx.booleanExpression()) + + +@visit.register +def _(ctx: sbp.StringLiteralContext): + return ast.String(ctx.getText()) + + +@visit.register +def _(ctx: sbp.CtesContext) -> List[ast.Select]: + names = {} + ctes = [] + for namedQuery in ctx.namedQuery(): + if namedQuery.name in names: + raise SqlSyntaxError(f"Duplicate CTE definition names: {namedQuery.name}") + query = visit(namedQuery.query()) + query = query.set_alias(visit(namedQuery.name)) + if namedQuery.AS(): + query = query.set_as(True) + query.parenthesized = True + ctes.append(query) + return ctes + + +@visit.register +def _(ctx: sbp.NamedQueryContext) -> ast.Select: + return visit(ctx.query()) + + +@visit.register +def _(ctx: sbp.LogicalBinaryContext) -> ast.BinaryOp: + return ast.BinaryOp( + ast.BinaryOpKind(ctx.operator.text.upper()), + visit(ctx.left), + visit(ctx.right), + ) + + +@visit.register +def _(ctx: sbp.SubqueryExpressionContext): + return visit(ctx.query()) + + +@visit.register +def _(ctx: sbp.SetOperationContext): + operator = ctx.operator.text + quantifier = f" {visit(ctx.setQuantifier())}" if ctx.setQuantifier() else "" + left = visit(ctx.left) + left.add_set_op( + ast.SetOp( + kind=f"{operator}{quantifier}", + right=visit(ctx.right), + ), + ) + return left + + +@visit.register +def _(ctx: sbp.AliasedQueryContext) -> ast.Select: + query = visit(ctx.query()) + query.parenthesized = True + table_alias = ctx.tableAlias() + ident, _ = visit(table_alias) + if ident: + query = query.set_alias(ident) + if table_alias.AS(): + query = query.set_as(True) + return query + + +@visit.register +def _(ctx: sbp.SimpleCaseContext) -> ast.Case: + expr = visit(ctx.value) + conditions = [] + results = [] + for when in ctx.whenClause(): + condition, result = visit(when) + conditions.append(condition) + results.append(result) + return ast.Case( + expr, + conditions=conditions, + else_result=visit(ctx.elseExpression) if ctx.elseExpression else None, + results=results, + ) + + +@visit.register +def _(ctx: sbp.SearchedCaseContext) -> ast.Case: + conditions = [] + results = [] + for when in ctx.whenClause(): + condition, result = visit(when) + conditions.append(condition) + results.append(result) + return ast.Case( + None, + conditions=conditions, + else_result=visit(ctx.elseExpression) if ctx.elseExpression else None, + results=results, + ) + + +@visit.register +def _(ctx: sbp.WhenClauseContext) -> Tuple[ast.Expression, ast.Expression]: + condition, result = visit(ctx.condition), visit(ctx.result) + return condition, result + + +@visit.register +def _(ctx: sbp.ParenthesizedExpressionContext) -> ast.Expression: + expr = visit(ctx.expression()) + expr.parenthesized = True + return expr + + +@visit.register +def _(ctx: sbp.NullLiteralContext) -> ast.Null: + return ast.Null() + + +@visit.register +def _(ctx: sbp.CastContext) -> ast.Cast: + data_type = visit(ctx.dataType()) + expression = visit(ctx.expression()) + return ast.Cast(data_type=data_type, expression=expression) + + +@visit.register +def _(ctx: sbp.ExistsContext) -> ast.UnaryOp: + expr = visit(ctx.query().queryTerm()) + expr.parenthesized = True + return ast.UnaryOp(op=UnaryOpKind.Exists, expr=expr) + + +@visit.register +def _(ctx: sbp.LogicalNotContext) -> ast.UnaryOp: + return ast.UnaryOp(op=UnaryOpKind.Not, expr=visit(ctx.booleanExpression())) + + +@visit.register +def _(ctx: sbp.IntervalLiteralContext) -> ast.Interval: + return visit(ctx.interval()) + + +@visit.register +def _(ctx: sbp.SubqueryContext): + return visit(ctx.query().queryTerm()) + + +@visit.register +def _(ctx: sbp.StructContext) -> ast.Function: + return ast.Function( + ast.Name("struct"), + args=visit(ctx.argument), + ) + + +@visit.register +def _(ctx: sbp.IntervalContext) -> ast.Interval: + return visit(ctx.children[1]) + + +@visit.register +def _(ctx: sbp.ErrorCapturingMultiUnitsIntervalContext) -> ast.Interval: + from_ = visit(ctx.body) + to = None + if utu := ctx.unitToUnitInterval(): + to = visit(utu) + interval = ast.Interval(from_ + to.from_, to.to) + else: + interval = ast.Interval(from_) + return interval + + +@visit.register +def _(ctx: sbp.UnitToUnitIntervalContext) -> ast.Interval: + value = visit(ctx.value) + from_ = visit(ctx.from_) + to = visit(ctx.to) + return ast.Interval([ast.IntervalUnit(from_, value)], ast.IntervalUnit(to)) + + +@visit.register +def _(ctx: sbp.MultiUnitsIntervalContext) -> List[ast.IntervalUnit]: + units = [] + for pair_i in range(0, len(ctx.children), 2): + value, unit = ctx.children[pair_i : pair_i + 2] + value = visit(value) + unit = visit(unit) + units.append(ast.IntervalUnit(unit, value)) + return units + + +@visit.register +def _(ctx: sbp.ErrorCapturingUnitToUnitIntervalContext) -> ast.Interval: + if ctx.error1 or ctx.error2: + raise SqlSyntaxError( + f"{ctx.start.line}:{ctx.start.column} Error capturing unit-to-unit interval.", + ) + return visit(ctx.body) + + +@visit.register +def _(ctx: sbp.IntervalValueContext) -> ast.Number: + if stringlit_ctx := ctx.stringLit(): + return ast.Number(visit(stringlit_ctx)) + return ast.Number(ctx.getText()) + + +@visit.register +def _(ctx: sbp.UnitInMultiUnitsContext) -> str: + return ctx.getText().upper().rstrip("S") + + +@visit.register +def _(ctx: sbp.UnitInUnitToUnitContext) -> str: + return ctx.getText().upper() + + +@visit.register +def _(ctx: sbp.TrimContext) -> ast.Function: + both = "BOTH " if ctx.BOTH() else "" + leading = "LEADING " if ctx.LEADING() else "" + trailing = "TRAILING " if ctx.TRAILING() else "" + from_ = "FROM " if ctx.FROM() else "" + return ast.Function( + ast.Name("TRIM"), + [visit(ctx.srcStr)], + f"{both or leading or trailing}{from_}", + ) + + +@visit.register +def _(ctx: sbp.LambdaContext) -> ast.Lambda: + identifier = visit(ctx.identifier()) + expr = visit(ctx.expression()) + lambda_expr = ast.Lambda(identifiers=identifier, expr=expr) + lambda_expr._type = ct.LambdaType + return lambda_expr + + +@visit.register +def _(ctx: sbp.PrimitiveDataTypeContext) -> ast.Value: + column_type = ctx.getText().strip() + decimal_match = ct.DECIMAL_REGEX.match(column_type) + if decimal_match: + precision = int(decimal_match.group("precision")) + scale = int(decimal_match.group("scale")) + return ct.DecimalType(precision, scale) + + fixed_match = ct.FIXED_PARSER.match(column_type) + if fixed_match: + length = int(fixed_match.group("length")) + return ct.FixedType(length) + + varchar_match = ct.VARCHAR_PARSER.match(column_type) + if varchar_match: + length = varchar_match.group("length") + return ct.VarcharType(length) if length else ct.VarcharType() + + column_type = column_type.lower().strip("()") + try: + return ct.PRIMITIVE_TYPES[column_type] + except KeyError as exc: + raise DJParseException( + f"DJ does not recognize the type `{ctx.getText()}`.", + ) from exc + + +@visit.register +def _(ctx: sbp.ComplexDataTypeContext) -> ct.ColumnType: + if ctx.ARRAY(): + return ct.ListType(visit(ctx.dataType())[0]) + if ctx.MAP(): + return ct.MapType(*visit(ctx.dataType())) + if ctx.STRUCT(): + if type_list := ctx.complexColTypeList(): + return ct.StructType(*visit(type_list)) + else: + return ct.StructType() + + +@visit.register +def _(ctx: sbp.ComplexColTypeListContext) -> List[ct.NestedField]: + return visit(ctx.complexColType()) + + +@visit.register +def _(ctx: sbp.ComplexColTypeContext) -> ct.NestedField: + name = visit(ctx.identifier()) + type = visit(ctx.dataType()) + optional = not ctx.NOT() + doc = None + if comment := ctx.commentSpec(): + doc = comment.getText() + return ct.NestedField(name, type, optional, doc) + + +@visit.register +def _(ctx: sbp.YearMonthIntervalDataTypeContext) -> ct.YearMonthIntervalType: + from_ = ctx.from_.getText().upper() + to = ctx.to.text.upper() if ctx.to else None + return ct.YearMonthIntervalType(from_=from_, to_=to) + + +@visit.register +def _(ctx: sbp.DayTimeIntervalDataTypeContext) -> ct.DayTimeIntervalType: + from_ = ctx.from_.text.upper() + to = ctx.to.text.upper() if ctx.to else None + return ct.DayTimeIntervalType(from_=from_, to_=to) + + +@visit.register +def _(ctx: sbp.ExtractContext): + return ast.Function( + ast.Name("EXTRACT"), + args=[visit(ctx.field), visit(ctx.source)], + ) diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/exceptions.py b/datajunction-server/datajunction_server/sql/parsing/backends/exceptions.py new file mode 100644 index 000000000..870ec0807 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/exceptions.py @@ -0,0 +1,13 @@ +""" +defines exceptions used for backend parsing +""" + +from http import HTTPStatus + +from datajunction_server.errors import DJException + + +class DJParseException(DJException): + """Exception type raised upon problem creating a DJ sql ast""" + + http_status_code: int = HTTPStatus.UNPROCESSABLE_ENTITY diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/SqlBaseLexer.g4 b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/SqlBaseLexer.g4 new file mode 100644 index 000000000..6d0862290 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/SqlBaseLexer.g4 @@ -0,0 +1,511 @@ +/* + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + * This file is an adaptation of Presto's presto-parser/src/main/antlr4/com/facebook/presto/sql/parser/SqlBase.g4 grammar. + */ + +lexer grammar SqlBaseLexer; + +@members { + /** + * When true, parser should throw ParseException for unclosed bracketed comment. + */ + public boolean has_unclosed_bracketed_comment = false; + + /** + * Verify whether current token is a valid decimal token (which contains dot). + * Returns true if the character that follows the token is not a digit or letter or underscore. + * + * For example: + * For char stream "2.3", "2." is not a valid decimal token, because it is followed by digit '3'. + * For char stream "2.3_", "2.3" is not a valid decimal token, because it is followed by '_'. + * For char stream "2.3W", "2.3" is not a valid decimal token, because it is followed by 'W'. + * For char stream "12.0D 34.E2+0.12 " 12.0D is a valid decimal token because it is followed + * by a space. 34.E2 is a valid decimal token because it is followed by symbol '+' + * which is not a digit or letter or underscore. + */ + public boolean isValidDecimal() { + int nextChar = _input.LA(1); + if (nextChar >= 'A' && nextChar <= 'Z' || nextChar >= '0' && nextChar <= '9' || + nextChar == '_') { + return false; + } else { + return true; + } + } + + /** + * This method will be called when we see '/*' and try to match it as a bracketed comment. + * If the next character is '+', it should be parsed as hint later, and we cannot match + * it as a bracketed comment. + * + * Returns true if the next character is '+'. + */ + public boolean isHint() { + int nextChar = _input.LA(1); + if (nextChar == '+') { + return true; + } else { + return false; + } + } + + /** + * This method will be called when the character stream ends and try to find out the + * unclosed bracketed comment. + * If the method be called, it means the end of the entire character stream match, + * and we set the flag and fail later. + */ + public void markUnclosedComment() { + has_unclosed_bracketed_comment = true; + } +} + +SEMICOLON: ';'; + +LEFT_PAREN: '('; +RIGHT_PAREN: ')'; +COMMA: ','; +DOT: '.'; +LEFT_BRACKET: '['; +RIGHT_BRACKET: ']'; + +// NOTE: If you add a new token in the list below, you should update the list of keywords +// and reserved tag in `docs/sql-ref-ansi-compliance.md#sql-keywords`. + +//============================ +// Start of the keywords list +//============================ +//--SPARK-KEYWORD-LIST-START +ADD: 'ADD'; +AFTER: 'AFTER'; +ALL: 'ALL'; +ALTER: 'ALTER'; +ALWAYS: 'ALWAYS'; +ANALYZE: 'ANALYZE'; +AND: 'AND'; +ANTI: 'ANTI'; +ANY: 'ANY'; +ANY_VALUE: 'ANY_VALUE'; +ARCHIVE: 'ARCHIVE'; +ARRAY: 'ARRAY'; +AS: 'AS'; +ASC: 'ASC'; +AT: 'AT'; +AUTHORIZATION: 'AUTHORIZATION'; +BETWEEN: 'BETWEEN'; +BOTH: 'BOTH'; +BUCKET: 'BUCKET'; +BUCKETS: 'BUCKETS'; +BY: 'BY'; +CACHE: 'CACHE'; +CASCADE: 'CASCADE'; +CASE: 'CASE'; +CAST: 'CAST'; +CATALOG: 'CATALOG'; +CATALOGS: 'CATALOGS'; +CHANGE: 'CHANGE'; +CHECK: 'CHECK'; +CLEAR: 'CLEAR'; +CLUSTER: 'CLUSTER'; +CLUSTERED: 'CLUSTERED'; +CODEGEN: 'CODEGEN'; +COLLATE: 'COLLATE'; +COLLECTION: 'COLLECTION'; +COLUMN: 'COLUMN'; +COLUMNS: 'COLUMNS'; +COMMENT: 'COMMENT'; +COMMIT: 'COMMIT'; +COMPACT: 'COMPACT'; +COMPACTIONS: 'COMPACTIONS'; +COMPUTE: 'COMPUTE'; +CONCATENATE: 'CONCATENATE'; +CONSTRAINT: 'CONSTRAINT'; +COST: 'COST'; +CREATE: 'CREATE'; +CROSS: 'CROSS'; +CUBE: 'CUBE'; +CURRENT: 'CURRENT'; +CURRENT_DATE: 'CURRENT_DATE'; +CURRENT_TIME: 'CURRENT_TIME'; +CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'; +CURRENT_USER: 'CURRENT_USER'; +DAY: 'DAY'; +DAYS: 'DAYS'; +DAYOFYEAR: 'DAYOFYEAR'; +DATA: 'DATA'; +DATABASE: 'DATABASE'; +DATABASES: 'DATABASES'; +DATEADD: 'DATEADD'; +DATEDIFF: 'DATEDIFF'; +DBPROPERTIES: 'DBPROPERTIES'; +DEFAULT: 'DEFAULT'; +DEFINED: 'DEFINED'; +DELETE: 'DELETE'; +DELIMITED: 'DELIMITED'; +DESC: 'DESC'; +DESCRIBE: 'DESCRIBE'; +DFS: 'DFS'; +DIRECTORIES: 'DIRECTORIES'; +DIRECTORY: 'DIRECTORY'; +DISTINCT: 'DISTINCT'; +DISTRIBUTE: 'DISTRIBUTE'; +DIV: 'DIV'; +DROP: 'DROP'; +ELSE: 'ELSE'; +END: 'END'; +ESCAPE: 'ESCAPE'; +ESCAPED: 'ESCAPED'; +EXCEPT: 'EXCEPT'; +EXCHANGE: 'EXCHANGE'; +EXCLUDE: 'EXCLUDE'; +EXISTS: 'EXISTS'; +EXPLAIN: 'EXPLAIN'; +EXPORT: 'EXPORT'; +EXTENDED: 'EXTENDED'; +EXTERNAL: 'EXTERNAL'; +EXTRACT: 'EXTRACT'; +FALSE: 'FALSE'; +FETCH: 'FETCH'; +FIELDS: 'FIELDS'; +FILTER: 'FILTER'; +FILEFORMAT: 'FILEFORMAT'; +FIRST: 'FIRST'; +FOLLOWING: 'FOLLOWING'; +FOR: 'FOR'; +FOREIGN: 'FOREIGN'; +FORMAT: 'FORMAT'; +FORMATTED: 'FORMATTED'; +FROM: 'FROM'; +FULL: 'FULL'; +FUNCTION: 'FUNCTION'; +FUNCTIONS: 'FUNCTIONS'; +GENERATED: 'GENERATED'; +GLOBAL: 'GLOBAL'; +GRANT: 'GRANT'; +GROUP: 'GROUP'; +GROUPING: 'GROUPING'; +HAVING: 'HAVING'; +HOUR: 'HOUR'; +HOURS: 'HOURS'; +IF: 'IF'; +IGNORE: 'IGNORE'; +IMPORT: 'IMPORT'; +IN: 'IN'; +INCLUDE: 'INCLUDE'; +INDEX: 'INDEX'; +INDEXES: 'INDEXES'; +INNER: 'INNER'; +INPATH: 'INPATH'; +INPUTFORMAT: 'INPUTFORMAT'; +INSERT: 'INSERT'; +INTERSECT: 'INTERSECT'; +INTERVAL: 'INTERVAL'; +INTO: 'INTO'; +IS: 'IS'; +ITEMS: 'ITEMS'; +JOIN: 'JOIN'; +KEYS: 'KEYS'; +LAST: 'LAST'; +LATERAL: 'LATERAL'; +LAZY: 'LAZY'; +LEADING: 'LEADING'; +LEFT: 'LEFT'; +LIKE: 'LIKE'; +ILIKE: 'ILIKE'; +LIMIT: 'LIMIT'; +LINES: 'LINES'; +LIST: 'LIST'; +LOAD: 'LOAD'; +LOCAL: 'LOCAL'; +LOCATION: 'LOCATION'; +LOCK: 'LOCK'; +LOCKS: 'LOCKS'; +LOGICAL: 'LOGICAL'; +MACRO: 'MACRO'; +MAP: 'MAP'; +MATCHED: 'MATCHED'; +MERGE: 'MERGE'; +MICROSECOND: 'MICROSECOND'; +MICROSECONDS: 'MICROSECONDS'; +MILLISECOND: 'MILLISECOND'; +MILLISECONDS: 'MILLISECONDS'; +MINUTE: 'MINUTE'; +MINUTES: 'MINUTES'; +MONTH: 'MONTH'; +MONTHS: 'MONTHS'; +MSCK: 'MSCK'; +NAMESPACE: 'NAMESPACE'; +NAMESPACES: 'NAMESPACES'; +NANOSECOND: 'NANOSECOND'; +NANOSECONDS: 'NANOSECONDS'; +NATURAL: 'NATURAL'; +NO: 'NO'; +NOT: 'NOT' | '!'; +NULL: 'NULL'; +NULLS: 'NULLS'; +OF: 'OF'; +OFFSET: 'OFFSET'; +ON: 'ON'; +ONLY: 'ONLY'; +OPTION: 'OPTION'; +OPTIONS: 'OPTIONS'; +OR: 'OR'; +ORDER: 'ORDER'; +OUT: 'OUT'; +OUTER: 'OUTER'; +OUTPUTFORMAT: 'OUTPUTFORMAT'; +OVER: 'OVER'; +OVERLAPS: 'OVERLAPS'; +OVERLAY: 'OVERLAY'; +OVERWRITE: 'OVERWRITE'; +PARTITION: 'PARTITION'; +PARTITIONED: 'PARTITIONED'; +PARTITIONS: 'PARTITIONS'; +PERCENTILE_CONT: 'PERCENTILE_CONT'; +PERCENTILE_DISC: 'PERCENTILE_DISC'; +PERCENTLIT: 'PERCENT'; +PIVOT: 'PIVOT'; +PLACING: 'PLACING'; +POSITION: 'POSITION'; +PRECEDING: 'PRECEDING'; +PRIMARY: 'PRIMARY'; +PRINCIPALS: 'PRINCIPALS'; +PROPERTIES: 'PROPERTIES'; +PURGE: 'PURGE'; +QUARTER: 'QUARTER'; +QUERY: 'QUERY'; +RANGE: 'RANGE'; +RECORDREADER: 'RECORDREADER'; +RECORDWRITER: 'RECORDWRITER'; +RECOVER: 'RECOVER'; +REDUCE: 'REDUCE'; +REFERENCES: 'REFERENCES'; +REFRESH: 'REFRESH'; +RENAME: 'RENAME'; +REPAIR: 'REPAIR'; +REPEATABLE: 'REPEATABLE'; +REPLACE: 'REPLACE'; +RESET: 'RESET'; +RESPECT: 'RESPECT'; +RESTRICT: 'RESTRICT'; +REVOKE: 'REVOKE'; +RIGHT: 'RIGHT'; +RLIKE: 'RLIKE' | 'REGEXP'; +ROLE: 'ROLE'; +ROLES: 'ROLES'; +ROLLBACK: 'ROLLBACK'; +ROLLUP: 'ROLLUP'; +ROW: 'ROW'; +ROWS: 'ROWS'; +SECOND: 'SECOND'; +SECONDS: 'SECONDS'; +SCHEMA: 'SCHEMA'; +SCHEMAS: 'SCHEMAS'; +SELECT: 'SELECT'; +SEMI: 'SEMI'; +SEPARATED: 'SEPARATED'; +SERDE: 'SERDE'; +SERDEPROPERTIES: 'SERDEPROPERTIES'; +SESSION_USER: 'SESSION_USER'; +SET: 'SET'; +SETMINUS: 'MINUS'; +SETS: 'SETS'; +SHOW: 'SHOW'; +SKEWED: 'SKEWED'; +SOME: 'SOME'; +SORT: 'SORT'; +SORTED: 'SORTED'; +SOURCE: 'SOURCE'; +START: 'START'; +STATISTICS: 'STATISTICS'; +STORED: 'STORED'; +STRATIFY: 'STRATIFY'; +STRUCT: 'STRUCT'; +SUBSTR: 'SUBSTR'; +SUBSTRING: 'SUBSTRING'; +SYNC: 'SYNC'; +SYSTEM_TIME: 'SYSTEM_TIME'; +SYSTEM_VERSION: 'SYSTEM_VERSION'; +TABLE: 'TABLE'; +TABLES: 'TABLES'; +TABLESAMPLE: 'TABLESAMPLE'; +TARGET: 'TARGET'; +TBLPROPERTIES: 'TBLPROPERTIES'; +TEMPORARY: 'TEMPORARY' | 'TEMP'; +TERMINATED: 'TERMINATED'; +THEN: 'THEN'; +TIME: 'TIME'; +TIMESTAMP: 'TIMESTAMP'; +TIMESTAMPADD: 'TIMESTAMPADD'; +TIMESTAMPDIFF: 'TIMESTAMPDIFF'; +TO: 'TO'; +TOUCH: 'TOUCH'; +TRAILING: 'TRAILING'; +TRANSACTION: 'TRANSACTION'; +TRANSACTIONS: 'TRANSACTIONS'; +TRANSFORM: 'TRANSFORM'; +TRIM: 'TRIM'; +TRUE: 'TRUE'; +TRUNCATE: 'TRUNCATE'; +TRY_CAST: 'TRY_CAST'; +TYPE: 'TYPE'; +UNARCHIVE: 'UNARCHIVE'; +UNBOUNDED: 'UNBOUNDED'; +UNCACHE: 'UNCACHE'; +UNION: 'UNION'; +UNIQUE: 'UNIQUE'; +UNKNOWN: 'UNKNOWN'; +UNLOCK: 'UNLOCK'; +UNPIVOT: 'UNPIVOT'; +UNSET: 'UNSET'; +UPDATE: 'UPDATE'; +USE: 'USE'; +USER: 'USER'; +USING: 'USING'; +VALUES: 'VALUES'; +VERSION: 'VERSION'; +VIEW: 'VIEW'; +VIEWS: 'VIEWS'; +WEEK: 'WEEK'; +WEEKS: 'WEEKS'; +WHEN: 'WHEN'; +WHERE: 'WHERE'; +WINDOW: 'WINDOW'; +WITH: 'WITH'; +WITHIN: 'WITHIN'; +YEAR: 'YEAR'; +YEARS: 'YEARS'; +ZONE: 'ZONE'; +//--SPARK-KEYWORD-LIST-END +//============================ +// End of the keywords list +//============================ + +EQ : '=' | '=='; +NSEQ: '<=>'; +NEQ : '<>'; +NEQJ: '!='; +LT : '<'; +LTE : '<=' | '!>'; +GT : '>'; +GTE : '>=' | '!<'; + +PLUS: '+'; +MINUS: '-'; +ASTERISK: '*'; +SLASH: '/'; +PERCENT: '%'; +TILDE: '~'; +AMPERSAND: '&'; +PIPE: '|'; +CONCAT_PIPE: '||'; +HAT: '^'; +COLON: ':'; +ARROW: '->'; +HENT_START: '/*+'; +HENT_END: '*/'; + +STRING + : '\'' ( ~('\''|'\\') | ('\\' .) )* '\'' + | 'R\'' (~'\'')* '\'' + | 'R"'(~'"')* '"' + ; + +DOUBLEQUOTED_STRING + :'"' ( ~('"'|'\\') | ('\\' .) )* '"' + ; + +BIGINT_LITERAL + : DIGIT+ 'L' + ; + +SMALLINT_LITERAL + : DIGIT+ 'S' + ; + +TINYINT_LITERAL + : DIGIT+ 'Y' + ; + +INTEGER_VALUE + : DIGIT+ + ; + +EXPONENT_VALUE + : DIGIT+ EXPONENT + | DECIMAL_DIGITS EXPONENT {isValidDecimal()}? + ; + +DECIMAL_VALUE + : DECIMAL_DIGITS {isValidDecimal()}? + ; + +FLOAT_LITERAL + : DIGIT+ EXPONENT? 'F' + | DECIMAL_DIGITS EXPONENT? 'F' {isValidDecimal()}? + ; + +DOUBLE_LITERAL + : DIGIT+ EXPONENT? 'D' + | DECIMAL_DIGITS EXPONENT? 'D' {isValidDecimal()}? + ; + +BIGDECIMAL_LITERAL + : DIGIT+ EXPONENT? 'BD' + | DECIMAL_DIGITS EXPONENT? 'BD' {isValidDecimal()}? + ; + +IDENTIFIER + : (LETTER | DIGIT | '_')+ + ; + +BACKQUOTED_IDENTIFIER + : '`' ( ~'`' | '``' )* '`' + ; + +fragment DECIMAL_DIGITS + : DIGIT+ '.' DIGIT* + | '.' DIGIT+ + ; + +fragment EXPONENT + : 'E' [+-]? DIGIT+ + ; + +fragment DIGIT + : [0-9] + ; + +fragment LETTER + : [A-Z] + ; + +SIMPLE_COMMENT + : '--' ('\\\n' | ~[\r\n])* '\r'? '\n'? -> channel(HIDDEN) + ; + +BRACKETED_COMMENT + : '/*' {!isHint()}? ( BRACKETED_COMMENT | . )*? ('*/' | {markUnclosedComment();} EOF) -> channel(HIDDEN) + ; + +WS + : [ \r\n\t]+ -> channel(HIDDEN) + ; + +// Catch-all for anything we can't recognize. +// We use this to be able to ignore and recover all the text +// when splitting statements with DelimiterLexer +UNRECOGNIZED + : . + ; diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/SqlBaseParser.g4 b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/SqlBaseParser.g4 new file mode 100644 index 000000000..38fa9b889 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/SqlBaseParser.g4 @@ -0,0 +1,1714 @@ +/* + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + * This file is an adaptation of Presto's presto-parser/src/main/antlr4/com/facebook/presto/sql/parser/SqlBase.g4 grammar. + */ + +parser grammar SqlBaseParser; + +options { tokenVocab = SqlBaseLexer; } + +singleStatement + : statement SEMICOLON* EOF + ; + +singleExpression + : namedExpression EOF + ; + +singleTableIdentifier + : tableIdentifier EOF + ; + +singleMultipartIdentifier + : multipartIdentifier EOF + ; + +singleFunctionIdentifier + : functionIdentifier EOF + ; + +singleDataType + : dataType EOF + ; + +singleTableSchema + : colTypeList EOF + ; + +statement + : query #statementDefault + | ctes? dmlStatementNoWith #dmlStatement + | USE multipartIdentifier #use + | USE namespace multipartIdentifier #useNamespace + | SET CATALOG (identifier | stringLit) #setCatalog + | CREATE namespace (IF NOT EXISTS)? multipartIdentifier + (commentSpec | + locationSpec | + (WITH (DBPROPERTIES | PROPERTIES) propertyList))* #createNamespace + | ALTER namespace multipartIdentifier + SET (DBPROPERTIES | PROPERTIES) propertyList #setNamespaceProperties + | ALTER namespace multipartIdentifier + SET locationSpec #setNamespaceLocation + | DROP namespace (IF EXISTS)? multipartIdentifier + (RESTRICT | CASCADE)? #dropNamespace + | SHOW namespaces ((FROM | IN) multipartIdentifier)? + (LIKE? pattern=stringLit)? #showNamespaces + | createTableHeader (LEFT_PAREN createOrReplaceTableColTypeList RIGHT_PAREN)? tableProvider? + createTableClauses + (AS? query)? #createTable + | CREATE TABLE (IF NOT EXISTS)? target=tableIdentifier + LIKE source=tableIdentifier + (tableProvider | + rowFormat | + createFileFormat | + locationSpec | + (TBLPROPERTIES tableProps=propertyList))* #createTableLike + | replaceTableHeader (LEFT_PAREN createOrReplaceTableColTypeList RIGHT_PAREN)? tableProvider? + createTableClauses + (AS? query)? #replaceTable + | ANALYZE TABLE multipartIdentifier partitionSpec? COMPUTE STATISTICS + (identifier | FOR COLUMNS identifierSeq | FOR ALL COLUMNS)? #analyze + | ANALYZE TABLES ((FROM | IN) multipartIdentifier)? COMPUTE STATISTICS + (identifier)? #analyzeTables + | ALTER TABLE multipartIdentifier + ADD (COLUMN | COLUMNS) + columns=qualifiedColTypeWithPositionList #addTableColumns + | ALTER TABLE multipartIdentifier + ADD (COLUMN | COLUMNS) + LEFT_PAREN columns=qualifiedColTypeWithPositionList RIGHT_PAREN #addTableColumns + | ALTER TABLE table=multipartIdentifier + RENAME COLUMN + from=multipartIdentifier TO to=errorCapturingIdentifier #renameTableColumn + | ALTER TABLE multipartIdentifier + DROP (COLUMN | COLUMNS) (IF EXISTS)? + LEFT_PAREN columns=multipartIdentifierList RIGHT_PAREN #dropTableColumns + | ALTER TABLE multipartIdentifier + DROP (COLUMN | COLUMNS) (IF EXISTS)? + columns=multipartIdentifierList #dropTableColumns + | ALTER (TABLE | VIEW) from=multipartIdentifier + RENAME TO to=multipartIdentifier #renameTable + | ALTER (TABLE | VIEW) multipartIdentifier + SET TBLPROPERTIES propertyList #setTableProperties + | ALTER (TABLE | VIEW) multipartIdentifier + UNSET TBLPROPERTIES (IF EXISTS)? propertyList #unsetTableProperties + | ALTER TABLE table=multipartIdentifier + (ALTER | CHANGE) COLUMN? column=multipartIdentifier + alterColumnAction? #alterTableAlterColumn + | ALTER TABLE table=multipartIdentifier partitionSpec? + CHANGE COLUMN? + colName=multipartIdentifier colType colPosition? #hiveChangeColumn + | ALTER TABLE table=multipartIdentifier partitionSpec? + REPLACE COLUMNS + LEFT_PAREN columns=qualifiedColTypeWithPositionList + RIGHT_PAREN #hiveReplaceColumns + | ALTER TABLE multipartIdentifier (partitionSpec)? + SET SERDE stringLit (WITH SERDEPROPERTIES propertyList)? #setTableSerDe + | ALTER TABLE multipartIdentifier (partitionSpec)? + SET SERDEPROPERTIES propertyList #setTableSerDe + | ALTER (TABLE | VIEW) multipartIdentifier ADD (IF NOT EXISTS)? + partitionSpecLocation+ #addTablePartition + | ALTER TABLE multipartIdentifier + from=partitionSpec RENAME TO to=partitionSpec #renameTablePartition + | ALTER (TABLE | VIEW) multipartIdentifier + DROP (IF EXISTS)? partitionSpec (COMMA partitionSpec)* PURGE? #dropTablePartitions + | ALTER TABLE multipartIdentifier + (partitionSpec)? SET locationSpec #setTableLocation + | ALTER TABLE multipartIdentifier RECOVER PARTITIONS #recoverPartitions + | DROP TABLE (IF EXISTS)? multipartIdentifier PURGE? #dropTable + | DROP VIEW (IF EXISTS)? multipartIdentifier #dropView + | CREATE (OR REPLACE)? (GLOBAL? TEMPORARY)? + VIEW (IF NOT EXISTS)? multipartIdentifier + identifierCommentList? + (commentSpec | + (PARTITIONED ON identifierList) | + (TBLPROPERTIES propertyList))* + AS query #createView + | CREATE (OR REPLACE)? GLOBAL? TEMPORARY VIEW + tableIdentifier (LEFT_PAREN colTypeList RIGHT_PAREN)? tableProvider + (OPTIONS propertyList)? #createTempViewUsing + | ALTER VIEW multipartIdentifier AS? query #alterViewQuery + | CREATE (OR REPLACE)? TEMPORARY? FUNCTION (IF NOT EXISTS)? + multipartIdentifier AS className=stringLit + (USING resource (COMMA resource)*)? #createFunction + | DROP TEMPORARY? FUNCTION (IF EXISTS)? multipartIdentifier #dropFunction + | EXPLAIN (LOGICAL | FORMATTED | EXTENDED | CODEGEN | COST)? + statement #explain + | SHOW TABLES ((FROM | IN) multipartIdentifier)? + (LIKE? pattern=stringLit)? #showTables + | SHOW TABLE EXTENDED ((FROM | IN) ns=multipartIdentifier)? + LIKE pattern=stringLit partitionSpec? #showTableExtended + | SHOW TBLPROPERTIES table=multipartIdentifier + (LEFT_PAREN key=propertyKey RIGHT_PAREN)? #showTblProperties + | SHOW COLUMNS (FROM | IN) table=multipartIdentifier + ((FROM | IN) ns=multipartIdentifier)? #showColumns + | SHOW VIEWS ((FROM | IN) multipartIdentifier)? + (LIKE? pattern=stringLit)? #showViews + | SHOW PARTITIONS multipartIdentifier partitionSpec? #showPartitions + | SHOW identifier? FUNCTIONS ((FROM | IN) ns=multipartIdentifier)? + (LIKE? (legacy=multipartIdentifier | pattern=stringLit))? #showFunctions + | SHOW CREATE TABLE multipartIdentifier (AS SERDE)? #showCreateTable + | SHOW CURRENT namespace #showCurrentNamespace + | SHOW CATALOGS (LIKE? pattern=stringLit)? #showCatalogs + | (DESC | DESCRIBE) FUNCTION EXTENDED? describeFuncName #describeFunction + | (DESC | DESCRIBE) namespace EXTENDED? + multipartIdentifier #describeNamespace + | (DESC | DESCRIBE) TABLE? option=(EXTENDED | FORMATTED)? + multipartIdentifier partitionSpec? describeColName? #describeRelation + | (DESC | DESCRIBE) QUERY? query #describeQuery + | COMMENT ON namespace multipartIdentifier IS + comment #commentNamespace + | COMMENT ON TABLE multipartIdentifier IS comment #commentTable + | REFRESH TABLE multipartIdentifier #refreshTable + | REFRESH FUNCTION multipartIdentifier #refreshFunction + | REFRESH (stringLit | .*?) #refreshResource + | CACHE LAZY? TABLE multipartIdentifier + (OPTIONS options=propertyList)? (AS? query)? #cacheTable + | UNCACHE TABLE (IF EXISTS)? multipartIdentifier #uncacheTable + | CLEAR CACHE #clearCache + | LOAD DATA LOCAL? INPATH path=stringLit OVERWRITE? INTO TABLE + multipartIdentifier partitionSpec? #loadData + | TRUNCATE TABLE multipartIdentifier partitionSpec? #truncateTable + | (MSCK)? REPAIR TABLE multipartIdentifier + (option=(ADD|DROP|SYNC) PARTITIONS)? #repairTable + | op=(ADD | LIST) identifier .*? #manageResource + | SET ROLE .*? #failNativeCommand + | SET TIME ZONE interval #setTimeZone + | SET TIME ZONE timezone #setTimeZone + | SET TIME ZONE .*? #setTimeZone + | SET configKey EQ configValue #setQuotedConfiguration + | SET configKey (EQ .*?)? #setConfiguration + | SET .*? EQ configValue #setQuotedConfiguration + | SET .*? #setConfiguration + | RESET configKey #resetQuotedConfiguration + | RESET .*? #resetConfiguration + | CREATE INDEX (IF NOT EXISTS)? identifier ON TABLE? + multipartIdentifier (USING indexType=identifier)? + LEFT_PAREN columns=multipartIdentifierPropertyList RIGHT_PAREN + (OPTIONS options=propertyList)? #createIndex + | DROP INDEX (IF EXISTS)? identifier ON TABLE? multipartIdentifier #dropIndex + | unsupportedHiveNativeCommands .*? #failNativeCommand + ; + +timezone + : stringLit + | LOCAL + ; + +configKey + : quotedIdentifier + ; + +configValue + : backQuotedIdentifier + ; + +unsupportedHiveNativeCommands + : kw1=CREATE kw2=ROLE + | kw1=DROP kw2=ROLE + | kw1=GRANT kw2=ROLE? + | kw1=REVOKE kw2=ROLE? + | kw1=SHOW kw2=GRANT + | kw1=SHOW kw2=ROLE kw3=GRANT? + | kw1=SHOW kw2=PRINCIPALS + | kw1=SHOW kw2=ROLES + | kw1=SHOW kw2=CURRENT kw3=ROLES + | kw1=EXPORT kw2=TABLE + | kw1=IMPORT kw2=TABLE + | kw1=SHOW kw2=COMPACTIONS + | kw1=SHOW kw2=CREATE kw3=TABLE + | kw1=SHOW kw2=TRANSACTIONS + | kw1=SHOW kw2=INDEXES + | kw1=SHOW kw2=LOCKS + | kw1=CREATE kw2=INDEX + | kw1=DROP kw2=INDEX + | kw1=ALTER kw2=INDEX + | kw1=LOCK kw2=TABLE + | kw1=LOCK kw2=DATABASE + | kw1=UNLOCK kw2=TABLE + | kw1=UNLOCK kw2=DATABASE + | kw1=CREATE kw2=TEMPORARY kw3=MACRO + | kw1=DROP kw2=TEMPORARY kw3=MACRO + | kw1=ALTER kw2=TABLE tableIdentifier kw3=NOT kw4=CLUSTERED + | kw1=ALTER kw2=TABLE tableIdentifier kw3=CLUSTERED kw4=BY + | kw1=ALTER kw2=TABLE tableIdentifier kw3=NOT kw4=SORTED + | kw1=ALTER kw2=TABLE tableIdentifier kw3=SKEWED kw4=BY + | kw1=ALTER kw2=TABLE tableIdentifier kw3=NOT kw4=SKEWED + | kw1=ALTER kw2=TABLE tableIdentifier kw3=NOT kw4=STORED kw5=AS kw6=DIRECTORIES + | kw1=ALTER kw2=TABLE tableIdentifier kw3=SET kw4=SKEWED kw5=LOCATION + | kw1=ALTER kw2=TABLE tableIdentifier kw3=EXCHANGE kw4=PARTITION + | kw1=ALTER kw2=TABLE tableIdentifier kw3=ARCHIVE kw4=PARTITION + | kw1=ALTER kw2=TABLE tableIdentifier kw3=UNARCHIVE kw4=PARTITION + | kw1=ALTER kw2=TABLE tableIdentifier kw3=TOUCH + | kw1=ALTER kw2=TABLE tableIdentifier partitionSpec? kw3=COMPACT + | kw1=ALTER kw2=TABLE tableIdentifier partitionSpec? kw3=CONCATENATE + | kw1=ALTER kw2=TABLE tableIdentifier partitionSpec? kw3=SET kw4=FILEFORMAT + | kw1=ALTER kw2=TABLE tableIdentifier partitionSpec? kw3=REPLACE kw4=COLUMNS + | kw1=START kw2=TRANSACTION + | kw1=COMMIT + | kw1=ROLLBACK + | kw1=DFS + ; + +createTableHeader + : CREATE TEMPORARY? EXTERNAL? TABLE (IF NOT EXISTS)? multipartIdentifier + ; + +replaceTableHeader + : (CREATE OR)? REPLACE TABLE multipartIdentifier + ; + +bucketSpec + : CLUSTERED BY identifierList + (SORTED BY orderedIdentifierList)? + INTO INTEGER_VALUE BUCKETS + ; + +skewSpec + : SKEWED BY identifierList + ON (constantList | nestedConstantList) + (STORED AS DIRECTORIES)? + ; + +locationSpec + : LOCATION stringLit + ; + +commentSpec + : COMMENT stringLit + ; + + +insertInto + : INSERT OVERWRITE TABLE? multipartIdentifier (partitionSpec (IF NOT EXISTS)?)? identifierList? #insertOverwriteTable + | INSERT INTO TABLE? multipartIdentifier partitionSpec? (IF NOT EXISTS)? identifierList? #insertIntoTable + | INSERT INTO TABLE? multipartIdentifier REPLACE whereClause #insertIntoReplaceWhere + | INSERT OVERWRITE LOCAL? DIRECTORY path=stringLit rowFormat? createFileFormat? #insertOverwriteHiveDir + | INSERT OVERWRITE LOCAL? DIRECTORY (path=stringLit)? tableProvider (OPTIONS options=propertyList)? #insertOverwriteDir + ; + +partitionSpecLocation + : partitionSpec locationSpec? + ; + +partitionSpec + : PARTITION LEFT_PAREN partitionVal (COMMA partitionVal)* RIGHT_PAREN + ; + +partitionVal + : identifier (EQ constant)? + | identifier EQ DEFAULT + ; + +namespace + : NAMESPACE + | DATABASE + | SCHEMA + ; + +namespaces + : NAMESPACES + | DATABASES + | SCHEMAS + ; + +describeFuncName + : qualifiedName + | stringLit + | comparisonOperator + | arithmeticOperator + | predicateOperator + ; + +describeColName + : nameParts+=identifier (DOT nameParts+=identifier)* + ; + +ctes + : WITH namedQuery (COMMA namedQuery)* + ; + +query + : ctes? queryTerm queryOrganization + ; + +namedQuery + : name=errorCapturingIdentifier (columnAliases=identifierList)? AS? LEFT_PAREN query RIGHT_PAREN + ; + +queryTerm + : queryPrimary #queryTermDefault + | left=queryTerm + operator=(INTERSECT | UNION | EXCEPT | SETMINUS) setQuantifier? right=queryTerm #setOperation + ; + +querySpecification + : transformClause + fromClause? + lateralView* + whereClause? + aggregationClause? + havingClause? + windowClause? #transformQuerySpecification + | selectClause + fromClause? + lateralView* + whereClause? + aggregationClause? + havingClause? + windowClause? #regularQuerySpecification + ; + +queryPrimary + : querySpecification #queryPrimaryDefault + | fromStatement #fromStmt + | TABLE multipartIdentifier #table + | inlineTable #inlineTableDefault1 + | LEFT_PAREN query RIGHT_PAREN #subquery + ; + +tableProvider + : USING multipartIdentifier + ; + +createTableClauses + :((OPTIONS options=propertyList) | + (PARTITIONED BY partitioning=partitionFieldList) | + skewSpec | + bucketSpec | + rowFormat | + createFileFormat | + locationSpec | + commentSpec | + (TBLPROPERTIES tableProps=propertyList))* + ; + +propertyList + : LEFT_PAREN property (COMMA property)* RIGHT_PAREN + ; + +property + : key=propertyKey (EQ? value=propertyValue)? + ; + +propertyKey + : identifier (DOT identifier)* + | stringLit + ; + +propertyValue + : INTEGER_VALUE + | DECIMAL_VALUE + | booleanValue + | stringLit + ; + +constantList + : LEFT_PAREN constant (COMMA constant)* RIGHT_PAREN + ; + +nestedConstantList + : LEFT_PAREN constantList (COMMA constantList)* RIGHT_PAREN + ; + +createFileFormat + : STORED AS fileFormat + | STORED BY storageHandler + ; + +fileFormat + : INPUTFORMAT inFmt=stringLit OUTPUTFORMAT outFmt=stringLit #tableFileFormat + | identifier #genericFileFormat + ; + +storageHandler + : stringLit (WITH SERDEPROPERTIES propertyList)? + ; + +resource + : identifier stringLit + ; + +dmlStatementNoWith + : insertInto query #singleInsertQuery + | fromClause multiInsertQueryBody+ #multiInsertQuery + | DELETE FROM multipartIdentifier tableAlias whereClause? #deleteFromTable + | UPDATE multipartIdentifier tableAlias setClause whereClause? #updateTable + | MERGE INTO target=multipartIdentifier targetAlias=tableAlias + USING (source=multipartIdentifier | + LEFT_PAREN sourceQuery=query RIGHT_PAREN) sourceAlias=tableAlias + ON mergeCondition=booleanExpression + matchedClause* + notMatchedClause* + notMatchedBySourceClause* #mergeIntoTable + ; + +queryOrganization + : (ORDER BY order+=sortItem (COMMA order+=sortItem)*)? + (CLUSTER BY clusterBy+=expression (COMMA clusterBy+=expression)*)? + (DISTRIBUTE BY distributeBy+=expression (COMMA distributeBy+=expression)*)? + (SORT BY sort+=sortItem (COMMA sort+=sortItem)*)? + windowClause? + (LIMIT (ALL | limit=expression))? + (OFFSET offset=expression)? + ; + +multiInsertQueryBody + : insertInto fromStatementBody + ; + +sortItem + : expression ordering=(ASC | DESC)? (NULLS nullOrder=(LAST | FIRST))? + ; + +fromStatement + : fromClause fromStatementBody+ + ; + +fromStatementBody + : transformClause + whereClause? + queryOrganization + | selectClause + lateralView* + whereClause? + aggregationClause? + havingClause? + windowClause? + queryOrganization + ; + + + +transformClause + : (SELECT kind=TRANSFORM LEFT_PAREN setQuantifier? expressionSeq RIGHT_PAREN + | kind=MAP setQuantifier? expressionSeq + | kind=REDUCE setQuantifier? expressionSeq) + inRowFormat=rowFormat? + (RECORDWRITER recordWriter=stringLit)? + USING script=stringLit + (AS (identifierSeq | colTypeList | (LEFT_PAREN (identifierSeq | colTypeList) RIGHT_PAREN)))? + outRowFormat=rowFormat? + (RECORDREADER recordReader=stringLit)? + ; + +selectClause + : SELECT (hints+=hint)* setQuantifier? namedExpressionSeq + ; + +setClause + : SET assignmentList + ; + +matchedClause + : WHEN MATCHED (AND matchedCond=booleanExpression)? THEN matchedAction + ; +notMatchedClause + : WHEN NOT MATCHED (BY TARGET)? (AND notMatchedCond=booleanExpression)? THEN notMatchedAction + ; + +notMatchedBySourceClause + : WHEN NOT MATCHED BY SOURCE (AND notMatchedBySourceCond=booleanExpression)? THEN notMatchedBySourceAction + ; + +matchedAction + : DELETE + | UPDATE SET ASTERISK + | UPDATE SET assignmentList + ; + +notMatchedAction + : INSERT ASTERISK + | INSERT LEFT_PAREN columns=multipartIdentifierList RIGHT_PAREN + VALUES LEFT_PAREN expression (COMMA expression)* RIGHT_PAREN + ; + +notMatchedBySourceAction + : DELETE + | UPDATE SET assignmentList + ; + +assignmentList + : assignment (COMMA assignment)* + ; + +assignment + : key=multipartIdentifier EQ value=expression + ; + +whereClause + : WHERE booleanExpression + ; + +havingClause + : HAVING booleanExpression + ; + +hint + : HENT_START hintStatements+=hintStatement (COMMA? hintStatements+=hintStatement)* HENT_END + ; + +hintStatement + : hintName=identifier + | hintName=identifier LEFT_PAREN parameters+=primaryExpression (COMMA parameters+=primaryExpression)* RIGHT_PAREN + ; + +fromClause + : FROM relation (COMMA relation)* lateralView* pivotClause? unpivotClause? + ; + +temporalClause + : FOR? (SYSTEM_VERSION | VERSION) AS OF version + | FOR? (SYSTEM_TIME | TIMESTAMP) AS OF timestamp=valueExpression + ; + +aggregationClause + : GROUP BY groupingExpressionsWithGroupingAnalytics+=groupByClause + (COMMA groupingExpressionsWithGroupingAnalytics+=groupByClause)* + | GROUP BY groupingExpressions+=expression (COMMA groupingExpressions+=expression)* ( + WITH kind=ROLLUP + | WITH kind=CUBE + | kind=GROUPING SETS LEFT_PAREN groupingSet (COMMA groupingSet)* RIGHT_PAREN)? + ; + +groupByClause + : groupingAnalytics + | expression + ; + +groupingAnalytics + : (ROLLUP | CUBE) LEFT_PAREN groupingSet (COMMA groupingSet)* RIGHT_PAREN + | GROUPING SETS LEFT_PAREN groupingElement (COMMA groupingElement)* RIGHT_PAREN + ; + +groupingElement + : groupingAnalytics + | groupingSet + ; + +groupingSet + : LEFT_PAREN (expression (COMMA expression)*)? RIGHT_PAREN + | expression + ; + +pivotClause + : PIVOT LEFT_PAREN aggregates=namedExpressionSeq FOR pivotColumn IN LEFT_PAREN pivotValues+=pivotValue (COMMA pivotValues+=pivotValue)* RIGHT_PAREN RIGHT_PAREN + ; + +pivotColumn + : identifiers+=identifier + | LEFT_PAREN identifiers+=identifier (COMMA identifiers+=identifier)* RIGHT_PAREN + ; + +pivotValue + : expression (AS? identifier)? + ; + +unpivotClause + : UNPIVOT nullOperator=unpivotNullClause? LEFT_PAREN + operator=unpivotOperator + RIGHT_PAREN (AS? identifier)? + ; + +unpivotNullClause + : (INCLUDE | EXCLUDE) NULLS + ; + +unpivotOperator + : (unpivotSingleValueColumnClause | unpivotMultiValueColumnClause) + ; + +unpivotSingleValueColumnClause + : unpivotValueColumn FOR unpivotNameColumn IN LEFT_PAREN unpivotColumns+=unpivotColumnAndAlias (COMMA unpivotColumns+=unpivotColumnAndAlias)* RIGHT_PAREN + ; + +unpivotMultiValueColumnClause + : LEFT_PAREN unpivotValueColumns+=unpivotValueColumn (COMMA unpivotValueColumns+=unpivotValueColumn)* RIGHT_PAREN + FOR unpivotNameColumn + IN LEFT_PAREN unpivotColumnSets+=unpivotColumnSet (COMMA unpivotColumnSets+=unpivotColumnSet)* RIGHT_PAREN + ; + +unpivotColumnSet + : LEFT_PAREN unpivotColumns+=unpivotColumn (COMMA unpivotColumns+=unpivotColumn)* RIGHT_PAREN unpivotAlias? + ; + +unpivotValueColumn + : identifier + ; + +unpivotNameColumn + : identifier + ; + +unpivotColumnAndAlias + : unpivotColumn unpivotAlias? + ; + +unpivotColumn + : multipartIdentifier + ; + +unpivotAlias + : AS? identifier + ; + +lateralView + : LATERAL VIEW (OUTER)? qualifiedName LEFT_PAREN (expression (COMMA expression)*)? RIGHT_PAREN tblName=identifier (AS? colName+=identifier (COMMA colName+=identifier)*)? + ; + +setQuantifier + : DISTINCT + | ALL + ; + +relation + : LATERAL? relationPrimary relationExtension* + ; + +relationExtension + : joinRelation + | pivotClause + | unpivotClause + ; + +joinRelation + : (joinType) JOIN LATERAL? right=relationPrimary joinCriteria? + | NATURAL joinType JOIN LATERAL? right=relationPrimary + ; + +joinType + : INNER? + | CROSS + | LEFT OUTER? + | LEFT? SEMI + | RIGHT OUTER? + | FULL OUTER? + | LEFT? ANTI + ; + +joinCriteria + : ON booleanExpression + | USING identifierList + ; + +sample + : TABLESAMPLE LEFT_PAREN sampleMethod? RIGHT_PAREN (REPEATABLE LEFT_PAREN seed=INTEGER_VALUE RIGHT_PAREN)? + ; + +sampleMethod + : negativeSign=MINUS? percentage=(INTEGER_VALUE | DECIMAL_VALUE) PERCENTLIT #sampleByPercentile + | expression ROWS #sampleByRows + | sampleType=BUCKET numerator=INTEGER_VALUE OUT OF denominator=INTEGER_VALUE + (ON (identifier | qualifiedName LEFT_PAREN RIGHT_PAREN))? #sampleByBucket + | bytes=expression #sampleByBytes + ; + +identifierList + : LEFT_PAREN identifierSeq RIGHT_PAREN + ; + +identifierSeq + : ident+=errorCapturingIdentifier (COMMA ident+=errorCapturingIdentifier)* + ; + +orderedIdentifierList + : LEFT_PAREN orderedIdentifier (COMMA orderedIdentifier)* RIGHT_PAREN + ; + +orderedIdentifier + : ident=errorCapturingIdentifier ordering=(ASC | DESC)? + ; + +identifierCommentList + : LEFT_PAREN identifierComment (COMMA identifierComment)* RIGHT_PAREN + ; + +identifierComment + : identifier commentSpec? + ; + +relationPrimary + : multipartIdentifier temporalClause? + sample? tableAlias #tableName + | LEFT_PAREN query RIGHT_PAREN sample? tableAlias #aliasedQuery + | LEFT_PAREN relation RIGHT_PAREN sample? tableAlias #aliasedRelation + | inlineTable #inlineTableDefault2 + | functionTable #tableValuedFunction + ; + +inlineTable + : VALUES expression (COMMA expression)* tableAlias + ; + +functionTable + : funcName=functionName LEFT_PAREN (expression (COMMA expression)*)? RIGHT_PAREN tableAlias + ; + +tableAlias + : (AS? strictIdentifier identifierList?)? + ; + +rowFormat + : ROW FORMAT SERDE name=stringLit (WITH SERDEPROPERTIES props=propertyList)? #rowFormatSerde + | ROW FORMAT DELIMITED + (FIELDS TERMINATED BY fieldsTerminatedBy=stringLit (ESCAPED BY escapedBy=stringLit)?)? + (COLLECTION ITEMS TERMINATED BY collectionItemsTerminatedBy=stringLit)? + (MAP KEYS TERMINATED BY keysTerminatedBy=stringLit)? + (LINES TERMINATED BY linesSeparatedBy=stringLit)? + (NULL DEFINED AS nullDefinedAs=stringLit)? #rowFormatDelimited + ; + +multipartIdentifierList + : multipartIdentifier (COMMA multipartIdentifier)* + ; + +multipartIdentifier + : parts+=errorCapturingIdentifier (DOT parts+=errorCapturingIdentifier)* + ; + +multipartIdentifierPropertyList + : multipartIdentifierProperty (COMMA multipartIdentifierProperty)* + ; + +multipartIdentifierProperty + : multipartIdentifier (OPTIONS options=propertyList)? + ; + +tableIdentifier + : (db=errorCapturingIdentifier DOT)? table=errorCapturingIdentifier + ; + +functionIdentifier + : (db=errorCapturingIdentifier DOT)? function=errorCapturingIdentifier + ; + +namedExpression + : expression (AS? (name=errorCapturingIdentifier | identifierList))? + ; + +namedExpressionSeq + : namedExpression (COMMA namedExpression)* + ; + +partitionFieldList + : LEFT_PAREN fields+=partitionField (COMMA fields+=partitionField)* RIGHT_PAREN + ; + +partitionField + : transform #partitionTransform + | colType #partitionColumn + ; + +transform + : qualifiedName #identityTransform + | transformName=identifier + LEFT_PAREN argument+=transformArgument (COMMA argument+=transformArgument)* RIGHT_PAREN #applyTransform + ; + +transformArgument + : qualifiedName + | constant + ; + +expression + : booleanExpression + ; + +expressionSeq + : expression (COMMA expression)* + ; + +booleanExpression + : NOT booleanExpression #logicalNot + | EXISTS LEFT_PAREN query RIGHT_PAREN #exists + | valueExpression predicate? #predicated + | left=booleanExpression operator=AND right=booleanExpression #logicalBinary + | left=booleanExpression operator=OR right=booleanExpression #logicalBinary + ; + +predicate + : NOT? kind=BETWEEN lower=valueExpression AND upper=valueExpression + | NOT? kind=IN LEFT_PAREN expression (COMMA expression)* RIGHT_PAREN + | NOT? kind=IN LEFT_PAREN query RIGHT_PAREN + | NOT? kind=RLIKE pattern=valueExpression + | NOT? kind=(LIKE | ILIKE) quantifier=(ANY | SOME | ALL) (LEFT_PAREN RIGHT_PAREN | LEFT_PAREN expression (COMMA expression)* RIGHT_PAREN) + | NOT? kind=(LIKE | ILIKE) pattern=valueExpression (ESCAPE escapeChar=stringLit)? + | IS NOT? kind=NULL + | IS NOT? kind=(TRUE | FALSE | UNKNOWN) + | IS NOT? kind=DISTINCT FROM right=valueExpression + ; + +valueExpression + : primaryExpression #valueExpressionDefault + | operator=(MINUS | PLUS | TILDE) valueExpression #arithmeticUnary + | left=valueExpression operator=(ASTERISK | SLASH | PERCENT | DIV) right=valueExpression #arithmeticBinary + | left=valueExpression operator=(PLUS | MINUS | CONCAT_PIPE) right=valueExpression #arithmeticBinary + | left=valueExpression operator=AMPERSAND right=valueExpression #arithmeticBinary + | left=valueExpression operator=HAT right=valueExpression #arithmeticBinary + | left=valueExpression operator=PIPE right=valueExpression #arithmeticBinary + | left=valueExpression comparisonOperator right=valueExpression #comparison + ; + +datetimeUnit + : YEAR | QUARTER | MONTH + | WEEK | DAY | DAYOFYEAR + | HOUR | MINUTE | SECOND | MILLISECOND | MICROSECOND + ; + +primaryExpression + : name=(CURRENT_DATE | CURRENT_TIMESTAMP | CURRENT_USER | USER) #currentLike + | name=(TIMESTAMPADD | DATEADD) LEFT_PAREN unit=datetimeUnit COMMA unitsAmount=valueExpression COMMA timestamp=valueExpression RIGHT_PAREN #timestampadd + | name=(TIMESTAMPDIFF | DATEDIFF) LEFT_PAREN unit=datetimeUnit COMMA startTimestamp=valueExpression COMMA endTimestamp=valueExpression RIGHT_PAREN #timestampdiff + | CASE whenClause+ (ELSE elseExpression=expression)? END #searchedCase + | CASE value=expression whenClause+ (ELSE elseExpression=expression)? END #simpleCase + | name=(CAST | TRY_CAST) LEFT_PAREN expression AS dataType RIGHT_PAREN #cast + | STRUCT LEFT_PAREN (argument+=namedExpression (COMMA argument+=namedExpression)*)? RIGHT_PAREN #struct + | FIRST LEFT_PAREN expression (IGNORE NULLS)? RIGHT_PAREN #first + | ANY_VALUE LEFT_PAREN expression (IGNORE NULLS)? RIGHT_PAREN #any_value + | LAST LEFT_PAREN expression (IGNORE NULLS)? RIGHT_PAREN #last + | POSITION LEFT_PAREN substr=valueExpression IN str=valueExpression RIGHT_PAREN #position + | constant #constantDefault + | ASTERISK #star + | qualifiedName DOT ASTERISK #star + | LEFT_PAREN namedExpression (COMMA namedExpression)+ RIGHT_PAREN #rowConstructor + | LEFT_PAREN query RIGHT_PAREN #subqueryExpression + | functionName LEFT_PAREN (setQuantifier? argument+=expression (COMMA argument+=expression)*)? RIGHT_PAREN + (FILTER LEFT_PAREN WHERE where=booleanExpression RIGHT_PAREN)? + (nullsOption=(IGNORE | RESPECT) NULLS)? ( OVER windowSpec)? #functionCall + | identifier ARROW expression #lambda + | LEFT_PAREN identifier (COMMA identifier)+ RIGHT_PAREN ARROW expression #lambda + | value=primaryExpression LEFT_BRACKET index=valueExpression RIGHT_BRACKET #subscript + | identifier #columnReference + | base=primaryExpression DOT fieldName=identifier #dereference + | LEFT_PAREN expression RIGHT_PAREN #parenthesizedExpression + | EXTRACT LEFT_PAREN field=identifier FROM source=valueExpression RIGHT_PAREN #extract + | (SUBSTR | SUBSTRING) LEFT_PAREN str=valueExpression (FROM | COMMA) pos=valueExpression + ((FOR | COMMA) len=valueExpression)? RIGHT_PAREN #substring + | TRIM LEFT_PAREN trimOption=(BOTH | LEADING | TRAILING)? (trimStr=valueExpression)? + FROM srcStr=valueExpression RIGHT_PAREN #trim + | OVERLAY LEFT_PAREN input=valueExpression PLACING replace=valueExpression + FROM position=valueExpression (FOR length=valueExpression)? RIGHT_PAREN #overlay + | name=(PERCENTILE_CONT | PERCENTILE_DISC) LEFT_PAREN percentage=valueExpression RIGHT_PAREN + WITHIN GROUP LEFT_PAREN ORDER BY sortItem RIGHT_PAREN + (FILTER LEFT_PAREN WHERE where=booleanExpression RIGHT_PAREN)? ( OVER windowSpec)? #percentile + ; + +constant + : NULL #nullLiteral + | COLON identifier #parameterLiteral + | interval #intervalLiteral + | identifier stringLit #typeConstructor + | number #numericLiteral + | booleanValue #booleanLiteral + | stringLit+ #stringLiteral + ; + +comparisonOperator + : EQ | NEQ | NEQJ | LT | LTE | GT | GTE | NSEQ + ; + +arithmeticOperator + : PLUS | MINUS | ASTERISK | SLASH | PERCENT | DIV | TILDE | AMPERSAND | PIPE | CONCAT_PIPE | HAT + ; + +predicateOperator + : OR | AND | IN | NOT + ; + +booleanValue + : TRUE | FALSE + ; + +interval + : INTERVAL (errorCapturingMultiUnitsInterval | errorCapturingUnitToUnitInterval) + ; + +errorCapturingMultiUnitsInterval + : body=multiUnitsInterval unitToUnitInterval? + ; + +multiUnitsInterval + : (intervalValue unit+=unitInMultiUnits)+ + ; + +errorCapturingUnitToUnitInterval + : body=unitToUnitInterval (error1=multiUnitsInterval | error2=unitToUnitInterval)? + ; + +unitToUnitInterval + : value=intervalValue from=unitInUnitToUnit TO to=unitInUnitToUnit + ; + +intervalValue + : (PLUS | MINUS)? + (INTEGER_VALUE | DECIMAL_VALUE | stringLit) + ; + +unitInMultiUnits + : NANOSECOND | NANOSECONDS | MICROSECOND | MICROSECONDS | MILLISECOND | MILLISECONDS + | SECOND | SECONDS | MINUTE | MINUTES | HOUR | HOURS | DAY | DAYS | WEEK | WEEKS + | MONTH | MONTHS | YEAR | YEARS + ; + +unitInUnitToUnit + : SECOND | MINUTE | HOUR | DAY | MONTH | YEAR + ; + +colPosition + : position=FIRST | position=AFTER afterCol=errorCapturingIdentifier + ; + +dataType + : complex=ARRAY LT dataType GT #complexDataType + | complex=MAP LT dataType COMMA dataType GT #complexDataType + | complex=STRUCT (LT complexColTypeList? GT | NEQ) #complexDataType + | INTERVAL from=(YEAR | MONTH) (TO to=MONTH)? #yearMonthIntervalDataType + | INTERVAL from=(DAY | HOUR | MINUTE | SECOND) + (TO to=(HOUR | MINUTE | SECOND))? #dayTimeIntervalDataType + | identifier (LEFT_PAREN INTEGER_VALUE + (COMMA INTEGER_VALUE)* RIGHT_PAREN)? #primitiveDataType + ; + +qualifiedColTypeWithPositionList + : qualifiedColTypeWithPosition (COMMA qualifiedColTypeWithPosition)* + ; + +qualifiedColTypeWithPosition + : name=multipartIdentifier dataType colDefinitionDescriptorWithPosition* + ; + +colDefinitionDescriptorWithPosition + : NOT NULL + | defaultExpression + | commentSpec + | colPosition + ; + +defaultExpression + : DEFAULT expression + ; + +colTypeList + : colType (COMMA colType)* + ; + +colType + : colName=errorCapturingIdentifier dataType (NOT NULL)? commentSpec? + ; + +createOrReplaceTableColTypeList + : createOrReplaceTableColType (COMMA createOrReplaceTableColType)* + ; + +createOrReplaceTableColType + : colName=errorCapturingIdentifier dataType colDefinitionOption* + ; + +colDefinitionOption + : NOT NULL + | defaultExpression + | generationExpression + | commentSpec + ; + +generationExpression + : GENERATED ALWAYS AS LEFT_PAREN expression RIGHT_PAREN + ; + +complexColTypeList + : complexColType (COMMA complexColType)* + ; + +complexColType + : identifier COLON? dataType (NOT NULL)? commentSpec? + ; + +whenClause + : WHEN condition=expression THEN result=expression + ; + +windowClause + : WINDOW namedWindow (COMMA namedWindow)* + ; + +namedWindow + : name=errorCapturingIdentifier AS windowSpec + ; + +windowSpec + : name=errorCapturingIdentifier #windowRef + | LEFT_PAREN name=errorCapturingIdentifier RIGHT_PAREN #windowRef + | LEFT_PAREN + ( CLUSTER BY partition+=expression (COMMA partition+=expression)* + | ((PARTITION | DISTRIBUTE) BY partition+=expression (COMMA partition+=expression)*)? + ((ORDER | SORT) BY sortItem (COMMA sortItem)*)?) + windowFrame? + RIGHT_PAREN #windowDef + ; + +windowFrame + : frameType=RANGE start=frameBound + | frameType=ROWS start=frameBound + | frameType=RANGE BETWEEN start=frameBound AND end=frameBound + | frameType=ROWS BETWEEN start=frameBound AND end=frameBound + ; + +frameBound + : UNBOUNDED boundType=(PRECEDING | FOLLOWING) + | boundType=CURRENT ROW + | expression boundType=(PRECEDING | FOLLOWING) + ; + +qualifiedNameList + : qualifiedName (COMMA qualifiedName)* + ; + +functionName + : qualifiedName + | FILTER + | LEFT + | RIGHT + ; + +qualifiedName + : identifier (DOT identifier)* + ; + +// this rule is used for explicitly capturing wrong identifiers such as test-table, which should actually be `test-table` +// replace identifier with errorCapturingIdentifier where the immediate follow symbol is not an expression, otherwise +// valid expressions such as "a-b" can be recognized as an identifier +errorCapturingIdentifier + : identifier errorCapturingIdentifierExtra + ; + +// extra left-factoring grammar +errorCapturingIdentifierExtra + : (MINUS identifier)+ #errorIdent + | #realIdent + ; + +identifier + : strictIdentifier + | strictNonReserved + ; + +strictIdentifier + : IDENTIFIER #unquotedIdentifier + | quotedIdentifier #quotedIdentifierAlternative + | ansiNonReserved #unquotedIdentifier + | nonReserved #unquotedIdentifier + ; + +quotedIdentifier + : BACKQUOTED_IDENTIFIER + | DOUBLEQUOTED_STRING + ; + +backQuotedIdentifier + : BACKQUOTED_IDENTIFIER + ; + +number + : MINUS? EXPONENT_VALUE #exponentLiteral + | MINUS? DECIMAL_VALUE #decimalLiteral + | MINUS? (EXPONENT_VALUE | DECIMAL_VALUE) #legacyDecimalLiteral + | MINUS? INTEGER_VALUE #integerLiteral + | MINUS? BIGINT_LITERAL #bigIntLiteral + | MINUS? SMALLINT_LITERAL #smallIntLiteral + | MINUS? TINYINT_LITERAL #tinyIntLiteral + | MINUS? DOUBLE_LITERAL #doubleLiteral + | MINUS? FLOAT_LITERAL #floatLiteral + | MINUS? BIGDECIMAL_LITERAL #bigDecimalLiteral + ; + +alterColumnAction + : TYPE dataType + | commentSpec + | colPosition + | setOrDrop=(SET | DROP) NOT NULL + | SET defaultExpression + | dropDefault=DROP DEFAULT + ; + +stringLit + : STRING + | DOUBLEQUOTED_STRING + ; + +comment + : stringLit + | NULL + ; + +version + : INTEGER_VALUE + | stringLit + ; + +// When `SQL_standard_keyword_behavior=true`, there are 2 kinds of keywords in Spark SQL. +// - Reserved keywords: +// Keywords that are reserved and can't be used as identifiers for table, view, column, +// function, alias, etc. +// - Non-reserved keywords: +// Keywords that have a special meaning only in particular contexts and can be used as +// identifiers in other contexts. For example, `EXPLAIN SELECT ...` is a command, but EXPLAIN +// can be used as identifiers in other places. +// You can find the full keywords list by searching "Start of the keywords list" in this file. +// The non-reserved keywords are listed below. Keywords not in this list are reserved keywords. +ansiNonReserved +//--ANSI-NON-RESERVED-START + : ADD + | AFTER + | ALTER + | ALWAYS + | ANALYZE + | ANTI + | ANY_VALUE + | ARCHIVE + | ARRAY + | ASC + | AT + | BETWEEN + | BUCKET + | BUCKETS + | BY + | CACHE + | CASCADE + | CATALOG + | CATALOGS + | CHANGE + | CLEAR + | CLUSTER + | CLUSTERED + | CODEGEN + | COLLECTION + | COLUMNS + | COMMENT + | COMMIT + | COMPACT + | COMPACTIONS + | COMPUTE + | CONCATENATE + | COST + | CUBE + | CURRENT + | DATA + | DATABASE + | DATABASES + | DATEADD + | DATEDIFF + | DAY + | DAYS + | DAYOFYEAR + | DBPROPERTIES + | DEFAULT + | DEFINED + | DELETE + | DELIMITED + | DESC + | DESCRIBE + | DFS + | DIRECTORIES + | DIRECTORY + | DISTRIBUTE + | DIV + | DROP + | ESCAPED + | EXCHANGE + | EXCLUDE + | EXISTS + | EXPLAIN + | EXPORT + | EXTENDED + | EXTERNAL + | EXTRACT + | FIELDS + | FILEFORMAT + | FIRST + | FOLLOWING + | FORMAT + | FORMATTED + | FUNCTION + | FUNCTIONS + | GENERATED + | GLOBAL + | GROUPING + | HOUR + | HOURS + | IF + | IGNORE + | IMPORT + | INCLUDE + | INDEX + | INDEXES + | INPATH + | INPUTFORMAT + | INSERT + | INTERVAL + | ITEMS + | KEYS + | LAST + | LAZY + | LIKE + | ILIKE + | LIMIT + | LINES + | LIST + | LOAD + | LOCAL + | LOCATION + | LOCK + | LOCKS + | LOGICAL + | MACRO + | MAP + | MATCHED + | MERGE + | MICROSECOND + | MICROSECONDS + | MILLISECOND + | MILLISECONDS + | MINUTE + | MINUTES + | MONTH + | MONTHS + | MSCK + | NAMESPACE + | NAMESPACES + | NANOSECOND + | NANOSECONDS + | NO + | NULLS + | OF + | OPTION + | OPTIONS + | OUT + | OUTPUTFORMAT + | OVER + | OVERLAY + | OVERWRITE + | PARTITION + | PARTITIONED + | PARTITIONS + | PERCENTLIT + | PIVOT + | PLACING + | POSITION + | PRECEDING + | PRINCIPALS + | PROPERTIES + | PURGE + | QUARTER + | QUERY + | RANGE + | RECORDREADER + | RECORDWRITER + | RECOVER + | REDUCE + | REFRESH + | RENAME + | REPAIR + | REPEATABLE + | REPLACE + | RESET + | RESPECT + | RESTRICT + | REVOKE + | RLIKE + | ROLE + | ROLES + | ROLLBACK + | ROLLUP + | ROW + | ROWS + | SCHEMA + | SCHEMAS + | SECOND + | SECONDS + | SEMI + | SEPARATED + | SERDE + | SERDEPROPERTIES + | SET + | SETMINUS + | SETS + | SHOW + | SKEWED + | SORT + | SORTED + | SOURCE + | START + | STATISTICS + | STORED + | STRATIFY + | STRUCT + | SUBSTR + | SUBSTRING + | SYNC + | SYSTEM_TIME + | SYSTEM_VERSION + | TABLES + | TABLESAMPLE + | TARGET + | TBLPROPERTIES + | TEMPORARY + | TERMINATED + | TIMESTAMP + | TIMESTAMPADD + | TIMESTAMPDIFF + | TOUCH + | TRANSACTION + | TRANSACTIONS + | TRANSFORM + | TRIM + | TRUE + | TRUNCATE + | TRY_CAST + | TYPE + | UNARCHIVE + | UNBOUNDED + | UNCACHE + | UNLOCK + | UNPIVOT + | UNSET + | UPDATE + | USE + | VALUES + | VERSION + | VIEW + | VIEWS + | WEEK + | WEEKS + | WINDOW + | YEAR + | YEARS + | ZONE +//--ANSI-NON-RESERVED-END + ; + +// When `SQL_standard_keyword_behavior=false`, there are 2 kinds of keywords in Spark SQL. +// - Non-reserved keywords: +// Same definition as the one when `SQL_standard_keyword_behavior=true`. +// - Strict-non-reserved keywords: +// A strict version of non-reserved keywords, which can not be used as table alias. +// You can find the full keywords list by searching "Start of the keywords list" in this file. +// The strict-non-reserved keywords are listed in `strictNonReserved`. +// The non-reserved keywords are listed in `nonReserved`. +// These 2 together contain all the keywords. +strictNonReserved + : ANTI + | CROSS + | EXCEPT + | FULL + | INNER + | INTERSECT + | JOIN + | LATERAL + | LEFT + | NATURAL + | ON + | RIGHT + | SEMI + | SETMINUS + | UNION + | USING + ; + +nonReserved +//--DEFAULT-NON-RESERVED-START + : ADD + | AFTER + | ALL + | ALTER + | ALWAYS + | ANALYZE + | AND + | ANY + | ANY_VALUE + | ARCHIVE + | ARRAY + | AS + | ASC + | AT + | AUTHORIZATION + | BETWEEN + | BOTH + | BUCKET + | BUCKETS + | BY + | CACHE + | CASCADE + | CASE + | CAST + | CATALOG + | CATALOGS + | CHANGE + | CHECK + | CLEAR + | CLUSTER + | CLUSTERED + | CODEGEN + | COLLATE + | COLLECTION + | COLUMN + | COLUMNS + | COMMENT + | COMMIT + | COMPACT + | COMPACTIONS + | COMPUTE + | CONCATENATE + | CONSTRAINT + | COST + | CREATE + | CUBE + | CURRENT + | CURRENT_DATE + | CURRENT_TIME + | CURRENT_TIMESTAMP + | CURRENT_USER + | DATA + | DATABASE + | DATABASES + | DATEADD + | DATEDIFF + | DAY + | DAYS + | DAYOFYEAR + | DBPROPERTIES + | DEFAULT + | DEFINED + | DELETE + | DELIMITED + | DESC + | DESCRIBE + | DFS + | DIRECTORIES + | DIRECTORY + | DISTINCT + | DISTRIBUTE + | DIV + | DROP + | ELSE + | END + | ESCAPE + | ESCAPED + | EXCHANGE + | EXCLUDE + | EXISTS + | EXPLAIN + | EXPORT + | EXTENDED + | EXTERNAL + | EXTRACT + | FALSE + | FETCH + | FILTER + | FIELDS + | FILEFORMAT + | FIRST + | FOLLOWING + | FOR + | FOREIGN + | FORMAT + | FORMATTED + | FROM + | FUNCTION + | FUNCTIONS + | GENERATED + | GLOBAL + | GRANT + | GROUP + | GROUPING + | HAVING + | HOUR + | HOURS + | IF + | IGNORE + | IMPORT + | IN + | INCLUDE + | INDEX + | INDEXES + | INPATH + | INPUTFORMAT + | INSERT + | INTERVAL + | INTO + | IS + | ITEMS + | KEYS + | LAST + | LAZY + | LEADING + | LIKE + | ILIKE + | LIMIT + | LINES + | LIST + | LOAD + | LOCAL + | LOCATION + | LOCK + | LOCKS + | LOGICAL + | MACRO + | MAP + | MATCHED + | MERGE + | MICROSECOND + | MICROSECONDS + | MILLISECOND + | MILLISECONDS + | MINUTE + | MINUTES + | MONTH + | MONTHS + | MSCK + | NAMESPACE + | NAMESPACES + | NANOSECOND + | NANOSECONDS + | NO + | NOT + | NULL + | NULLS + | OF + | OFFSET + | ONLY + | OPTION + | OPTIONS + | OR + | ORDER + | OUT + | OUTER + | OUTPUTFORMAT + | OVER + | OVERLAPS + | OVERLAY + | OVERWRITE + | PARTITION + | PARTITIONED + | PARTITIONS + | PERCENTILE_CONT + | PERCENTILE_DISC + | PERCENTLIT + | PIVOT + | PLACING + | POSITION + | PRECEDING + | PRIMARY + | PRINCIPALS + | PROPERTIES + | PURGE + | QUARTER + | QUERY + | RANGE + | RECORDREADER + | RECORDWRITER + | RECOVER + | REDUCE + | REFERENCES + | REFRESH + | RENAME + | REPAIR + | REPEATABLE + | REPLACE + | RESET + | RESPECT + | RESTRICT + | REVOKE + | RLIKE + | ROLE + | ROLES + | ROLLBACK + | ROLLUP + | ROW + | ROWS + | SCHEMA + | SCHEMAS + | SECOND + | SECONDS + | SELECT + | SEPARATED + | SERDE + | SERDEPROPERTIES + | SESSION_USER + | SET + | SETS + | SHOW + | SKEWED + | SOME + | SORT + | SORTED + | SOURCE + | START + | STATISTICS + | STORED + | STRATIFY + | STRUCT + | SUBSTR + | SUBSTRING + | SYNC + | SYSTEM_TIME + | SYSTEM_VERSION + | TABLE + | TABLES + | TABLESAMPLE + | TARGET + | TBLPROPERTIES + | TEMPORARY + | TERMINATED + | THEN + | TIME + | TIMESTAMP + | TIMESTAMPADD + | TIMESTAMPDIFF + | TO + | TOUCH + | TRAILING + | TRANSACTION + | TRANSACTIONS + | TRANSFORM + | TRIM + | TRUE + | TRUNCATE + | TRY_CAST + | TYPE + | UNARCHIVE + | UNBOUNDED + | UNCACHE + | UNIQUE + | UNKNOWN + | UNLOCK + | UNPIVOT + | UNSET + | UPDATE + | USE + | USER + | VALUES + | VERSION + | VIEW + | VIEWS + | WEEK + | WEEKS + | WHEN + | WHERE + | WINDOW + | WITH + | WITHIN + | YEAR + | YEARS + | ZONE +//--DEFAULT-NON-RESERVED-END + ; diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/__init__.py b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseLexer.interp b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseLexer.interp new file mode 100644 index 000000000..91c10b857 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseLexer.interp @@ -0,0 +1,1059 @@ +token literal names: +null +';' +'(' +')' +',' +'.' +'[' +']' +'ADD' +'AFTER' +'ALL' +'ALTER' +'ALWAYS' +'ANALYZE' +'AND' +'ANTI' +'ANY' +'ANY_VALUE' +'ARCHIVE' +'ARRAY' +'AS' +'ASC' +'AT' +'AUTHORIZATION' +'BETWEEN' +'BOTH' +'BUCKET' +'BUCKETS' +'BY' +'CACHE' +'CASCADE' +'CASE' +'CAST' +'CATALOG' +'CATALOGS' +'CHANGE' +'CHECK' +'CLEAR' +'CLUSTER' +'CLUSTERED' +'CODEGEN' +'COLLATE' +'COLLECTION' +'COLUMN' +'COLUMNS' +'COMMENT' +'COMMIT' +'COMPACT' +'COMPACTIONS' +'COMPUTE' +'CONCATENATE' +'CONSTRAINT' +'COST' +'CREATE' +'CROSS' +'CUBE' +'CURRENT' +'CURRENT_DATE' +'CURRENT_TIME' +'CURRENT_TIMESTAMP' +'CURRENT_USER' +'DAY' +'DAYS' +'DAYOFYEAR' +'DATA' +'DATABASE' +'DATABASES' +'DATEADD' +'DATEDIFF' +'DBPROPERTIES' +'DEFAULT' +'DEFINED' +'DELETE' +'DELIMITED' +'DESC' +'DESCRIBE' +'DFS' +'DIRECTORIES' +'DIRECTORY' +'DISTINCT' +'DISTRIBUTE' +'DIV' +'DROP' +'ELSE' +'END' +'ESCAPE' +'ESCAPED' +'EXCEPT' +'EXCHANGE' +'EXCLUDE' +'EXISTS' +'EXPLAIN' +'EXPORT' +'EXTENDED' +'EXTERNAL' +'EXTRACT' +'FALSE' +'FETCH' +'FIELDS' +'FILTER' +'FILEFORMAT' +'FIRST' +'FOLLOWING' +'FOR' +'FOREIGN' +'FORMAT' +'FORMATTED' +'FROM' +'FULL' +'FUNCTION' +'FUNCTIONS' +'GENERATED' +'GLOBAL' +'GRANT' +'GROUP' +'GROUPING' +'HAVING' +'HOUR' +'HOURS' +'IF' +'IGNORE' +'IMPORT' +'IN' +'INCLUDE' +'INDEX' +'INDEXES' +'INNER' +'INPATH' +'INPUTFORMAT' +'INSERT' +'INTERSECT' +'INTERVAL' +'INTO' +'IS' +'ITEMS' +'JOIN' +'KEYS' +'LAST' +'LATERAL' +'LAZY' +'LEADING' +'LEFT' +'LIKE' +'ILIKE' +'LIMIT' +'LINES' +'LIST' +'LOAD' +'LOCAL' +'LOCATION' +'LOCK' +'LOCKS' +'LOGICAL' +'MACRO' +'MAP' +'MATCHED' +'MERGE' +'MICROSECOND' +'MICROSECONDS' +'MILLISECOND' +'MILLISECONDS' +'MINUTE' +'MINUTES' +'MONTH' +'MONTHS' +'MSCK' +'NAMESPACE' +'NAMESPACES' +'NANOSECOND' +'NANOSECONDS' +'NATURAL' +'NO' +null +'NULL' +'NULLS' +'OF' +'OFFSET' +'ON' +'ONLY' +'OPTION' +'OPTIONS' +'OR' +'ORDER' +'OUT' +'OUTER' +'OUTPUTFORMAT' +'OVER' +'OVERLAPS' +'OVERLAY' +'OVERWRITE' +'PARTITION' +'PARTITIONED' +'PARTITIONS' +'PERCENTILE_CONT' +'PERCENTILE_DISC' +'PERCENT' +'PIVOT' +'PLACING' +'POSITION' +'PRECEDING' +'PRIMARY' +'PRINCIPALS' +'PROPERTIES' +'PURGE' +'QUARTER' +'QUERY' +'RANGE' +'RECORDREADER' +'RECORDWRITER' +'RECOVER' +'REDUCE' +'REFERENCES' +'REFRESH' +'RENAME' +'REPAIR' +'REPEATABLE' +'REPLACE' +'RESET' +'RESPECT' +'RESTRICT' +'REVOKE' +'RIGHT' +null +'ROLE' +'ROLES' +'ROLLBACK' +'ROLLUP' +'ROW' +'ROWS' +'SECOND' +'SECONDS' +'SCHEMA' +'SCHEMAS' +'SELECT' +'SEMI' +'SEPARATED' +'SERDE' +'SERDEPROPERTIES' +'SESSION_USER' +'SET' +'MINUS' +'SETS' +'SHOW' +'SKEWED' +'SOME' +'SORT' +'SORTED' +'SOURCE' +'START' +'STATISTICS' +'STORED' +'STRATIFY' +'STRUCT' +'SUBSTR' +'SUBSTRING' +'SYNC' +'SYSTEM_TIME' +'SYSTEM_VERSION' +'TABLE' +'TABLES' +'TABLESAMPLE' +'TARGET' +'TBLPROPERTIES' +null +'TERMINATED' +'THEN' +'TIME' +'TIMESTAMP' +'TIMESTAMPADD' +'TIMESTAMPDIFF' +'TO' +'TOUCH' +'TRAILING' +'TRANSACTION' +'TRANSACTIONS' +'TRANSFORM' +'TRIM' +'TRUE' +'TRUNCATE' +'TRY_CAST' +'TYPE' +'UNARCHIVE' +'UNBOUNDED' +'UNCACHE' +'UNION' +'UNIQUE' +'UNKNOWN' +'UNLOCK' +'UNPIVOT' +'UNSET' +'UPDATE' +'USE' +'USER' +'USING' +'VALUES' +'VERSION' +'VIEW' +'VIEWS' +'WEEK' +'WEEKS' +'WHEN' +'WHERE' +'WINDOW' +'WITH' +'WITHIN' +'YEAR' +'YEARS' +'ZONE' +null +'<=>' +'<>' +'!=' +'<' +null +'>' +null +'+' +'-' +'*' +'/' +'%' +'~' +'&' +'|' +'||' +'^' +':' +'->' +'/*+' +'*/' +null +null +null +null +null +null +null +null +null +null +null +null +null +null +null +null +null + +token symbolic names: +null +SEMICOLON +LEFT_PAREN +RIGHT_PAREN +COMMA +DOT +LEFT_BRACKET +RIGHT_BRACKET +ADD +AFTER +ALL +ALTER +ALWAYS +ANALYZE +AND +ANTI +ANY +ANY_VALUE +ARCHIVE +ARRAY +AS +ASC +AT +AUTHORIZATION +BETWEEN +BOTH +BUCKET +BUCKETS +BY +CACHE +CASCADE +CASE +CAST +CATALOG +CATALOGS +CHANGE +CHECK +CLEAR +CLUSTER +CLUSTERED +CODEGEN +COLLATE +COLLECTION +COLUMN +COLUMNS +COMMENT +COMMIT +COMPACT +COMPACTIONS +COMPUTE +CONCATENATE +CONSTRAINT +COST +CREATE +CROSS +CUBE +CURRENT +CURRENT_DATE +CURRENT_TIME +CURRENT_TIMESTAMP +CURRENT_USER +DAY +DAYS +DAYOFYEAR +DATA +DATABASE +DATABASES +DATEADD +DATEDIFF +DBPROPERTIES +DEFAULT +DEFINED +DELETE +DELIMITED +DESC +DESCRIBE +DFS +DIRECTORIES +DIRECTORY +DISTINCT +DISTRIBUTE +DIV +DROP +ELSE +END +ESCAPE +ESCAPED +EXCEPT +EXCHANGE +EXCLUDE +EXISTS +EXPLAIN +EXPORT +EXTENDED +EXTERNAL +EXTRACT +FALSE +FETCH +FIELDS +FILTER +FILEFORMAT +FIRST +FOLLOWING +FOR +FOREIGN +FORMAT +FORMATTED +FROM +FULL +FUNCTION +FUNCTIONS +GENERATED +GLOBAL +GRANT +GROUP +GROUPING +HAVING +HOUR +HOURS +IF +IGNORE +IMPORT +IN +INCLUDE +INDEX +INDEXES +INNER +INPATH +INPUTFORMAT +INSERT +INTERSECT +INTERVAL +INTO +IS +ITEMS +JOIN +KEYS +LAST +LATERAL +LAZY +LEADING +LEFT +LIKE +ILIKE +LIMIT +LINES +LIST +LOAD +LOCAL +LOCATION +LOCK +LOCKS +LOGICAL +MACRO +MAP +MATCHED +MERGE +MICROSECOND +MICROSECONDS +MILLISECOND +MILLISECONDS +MINUTE +MINUTES +MONTH +MONTHS +MSCK +NAMESPACE +NAMESPACES +NANOSECOND +NANOSECONDS +NATURAL +NO +NOT +NULL +NULLS +OF +OFFSET +ON +ONLY +OPTION +OPTIONS +OR +ORDER +OUT +OUTER +OUTPUTFORMAT +OVER +OVERLAPS +OVERLAY +OVERWRITE +PARTITION +PARTITIONED +PARTITIONS +PERCENTILE_CONT +PERCENTILE_DISC +PERCENTLIT +PIVOT +PLACING +POSITION +PRECEDING +PRIMARY +PRINCIPALS +PROPERTIES +PURGE +QUARTER +QUERY +RANGE +RECORDREADER +RECORDWRITER +RECOVER +REDUCE +REFERENCES +REFRESH +RENAME +REPAIR +REPEATABLE +REPLACE +RESET +RESPECT +RESTRICT +REVOKE +RIGHT +RLIKE +ROLE +ROLES +ROLLBACK +ROLLUP +ROW +ROWS +SECOND +SECONDS +SCHEMA +SCHEMAS +SELECT +SEMI +SEPARATED +SERDE +SERDEPROPERTIES +SESSION_USER +SET +SETMINUS +SETS +SHOW +SKEWED +SOME +SORT +SORTED +SOURCE +START +STATISTICS +STORED +STRATIFY +STRUCT +SUBSTR +SUBSTRING +SYNC +SYSTEM_TIME +SYSTEM_VERSION +TABLE +TABLES +TABLESAMPLE +TARGET +TBLPROPERTIES +TEMPORARY +TERMINATED +THEN +TIME +TIMESTAMP +TIMESTAMPADD +TIMESTAMPDIFF +TO +TOUCH +TRAILING +TRANSACTION +TRANSACTIONS +TRANSFORM +TRIM +TRUE +TRUNCATE +TRY_CAST +TYPE +UNARCHIVE +UNBOUNDED +UNCACHE +UNION +UNIQUE +UNKNOWN +UNLOCK +UNPIVOT +UNSET +UPDATE +USE +USER +USING +VALUES +VERSION +VIEW +VIEWS +WEEK +WEEKS +WHEN +WHERE +WINDOW +WITH +WITHIN +YEAR +YEARS +ZONE +EQ +NSEQ +NEQ +NEQJ +LT +LTE +GT +GTE +PLUS +MINUS +ASTERISK +SLASH +PERCENT +TILDE +AMPERSAND +PIPE +CONCAT_PIPE +HAT +COLON +ARROW +HENT_START +HENT_END +STRING +DOUBLEQUOTED_STRING +BIGINT_LITERAL +SMALLINT_LITERAL +TINYINT_LITERAL +INTEGER_VALUE +EXPONENT_VALUE +DECIMAL_VALUE +FLOAT_LITERAL +DOUBLE_LITERAL +BIGDECIMAL_LITERAL +IDENTIFIER +BACKQUOTED_IDENTIFIER +SIMPLE_COMMENT +BRACKETED_COMMENT +WS +UNRECOGNIZED + +rule names: +SEMICOLON +LEFT_PAREN +RIGHT_PAREN +COMMA +DOT +LEFT_BRACKET +RIGHT_BRACKET +ADD +AFTER +ALL +ALTER +ALWAYS +ANALYZE +AND +ANTI +ANY +ANY_VALUE +ARCHIVE +ARRAY +AS +ASC +AT +AUTHORIZATION +BETWEEN +BOTH +BUCKET +BUCKETS +BY +CACHE +CASCADE +CASE +CAST +CATALOG +CATALOGS +CHANGE +CHECK +CLEAR +CLUSTER +CLUSTERED +CODEGEN +COLLATE +COLLECTION +COLUMN +COLUMNS +COMMENT +COMMIT +COMPACT +COMPACTIONS +COMPUTE +CONCATENATE +CONSTRAINT +COST +CREATE +CROSS +CUBE +CURRENT +CURRENT_DATE +CURRENT_TIME +CURRENT_TIMESTAMP +CURRENT_USER +DAY +DAYS +DAYOFYEAR +DATA +DATABASE +DATABASES +DATEADD +DATEDIFF +DBPROPERTIES +DEFAULT +DEFINED +DELETE +DELIMITED +DESC +DESCRIBE +DFS +DIRECTORIES +DIRECTORY +DISTINCT +DISTRIBUTE +DIV +DROP +ELSE +END +ESCAPE +ESCAPED +EXCEPT +EXCHANGE +EXCLUDE +EXISTS +EXPLAIN +EXPORT +EXTENDED +EXTERNAL +EXTRACT +FALSE +FETCH +FIELDS +FILTER +FILEFORMAT +FIRST +FOLLOWING +FOR +FOREIGN +FORMAT +FORMATTED +FROM +FULL +FUNCTION +FUNCTIONS +GENERATED +GLOBAL +GRANT +GROUP +GROUPING +HAVING +HOUR +HOURS +IF +IGNORE +IMPORT +IN +INCLUDE +INDEX +INDEXES +INNER +INPATH +INPUTFORMAT +INSERT +INTERSECT +INTERVAL +INTO +IS +ITEMS +JOIN +KEYS +LAST +LATERAL +LAZY +LEADING +LEFT +LIKE +ILIKE +LIMIT +LINES +LIST +LOAD +LOCAL +LOCATION +LOCK +LOCKS +LOGICAL +MACRO +MAP +MATCHED +MERGE +MICROSECOND +MICROSECONDS +MILLISECOND +MILLISECONDS +MINUTE +MINUTES +MONTH +MONTHS +MSCK +NAMESPACE +NAMESPACES +NANOSECOND +NANOSECONDS +NATURAL +NO +NOT +NULL +NULLS +OF +OFFSET +ON +ONLY +OPTION +OPTIONS +OR +ORDER +OUT +OUTER +OUTPUTFORMAT +OVER +OVERLAPS +OVERLAY +OVERWRITE +PARTITION +PARTITIONED +PARTITIONS +PERCENTILE_CONT +PERCENTILE_DISC +PERCENTLIT +PIVOT +PLACING +POSITION +PRECEDING +PRIMARY +PRINCIPALS +PROPERTIES +PURGE +QUARTER +QUERY +RANGE +RECORDREADER +RECORDWRITER +RECOVER +REDUCE +REFERENCES +REFRESH +RENAME +REPAIR +REPEATABLE +REPLACE +RESET +RESPECT +RESTRICT +REVOKE +RIGHT +RLIKE +ROLE +ROLES +ROLLBACK +ROLLUP +ROW +ROWS +SECOND +SECONDS +SCHEMA +SCHEMAS +SELECT +SEMI +SEPARATED +SERDE +SERDEPROPERTIES +SESSION_USER +SET +SETMINUS +SETS +SHOW +SKEWED +SOME +SORT +SORTED +SOURCE +START +STATISTICS +STORED +STRATIFY +STRUCT +SUBSTR +SUBSTRING +SYNC +SYSTEM_TIME +SYSTEM_VERSION +TABLE +TABLES +TABLESAMPLE +TARGET +TBLPROPERTIES +TEMPORARY +TERMINATED +THEN +TIME +TIMESTAMP +TIMESTAMPADD +TIMESTAMPDIFF +TO +TOUCH +TRAILING +TRANSACTION +TRANSACTIONS +TRANSFORM +TRIM +TRUE +TRUNCATE +TRY_CAST +TYPE +UNARCHIVE +UNBOUNDED +UNCACHE +UNION +UNIQUE +UNKNOWN +UNLOCK +UNPIVOT +UNSET +UPDATE +USE +USER +USING +VALUES +VERSION +VIEW +VIEWS +WEEK +WEEKS +WHEN +WHERE +WINDOW +WITH +WITHIN +YEAR +YEARS +ZONE +EQ +NSEQ +NEQ +NEQJ +LT +LTE +GT +GTE +PLUS +MINUS +ASTERISK +SLASH +PERCENT +TILDE +AMPERSAND +PIPE +CONCAT_PIPE +HAT +COLON +ARROW +HENT_START +HENT_END +STRING +DOUBLEQUOTED_STRING +BIGINT_LITERAL +SMALLINT_LITERAL +TINYINT_LITERAL +INTEGER_VALUE +EXPONENT_VALUE +DECIMAL_VALUE +FLOAT_LITERAL +DOUBLE_LITERAL +BIGDECIMAL_LITERAL +IDENTIFIER +BACKQUOTED_IDENTIFIER +DECIMAL_DIGITS +EXPONENT +DIGIT +LETTER +SIMPLE_COMMENT +BRACKETED_COMMENT +WS +UNRECOGNIZED + +channel names: +DEFAULT_TOKEN_CHANNEL +HIDDEN + +mode names: +DEFAULT_MODE + +atn: +[4, 0, 346, 3299, 6, -1, 2, 0, 7, 0, 2, 1, 7, 1, 2, 2, 7, 2, 2, 3, 7, 3, 2, 4, 7, 4, 2, 5, 7, 5, 2, 6, 7, 6, 2, 7, 7, 7, 2, 8, 7, 8, 2, 9, 7, 9, 2, 10, 7, 10, 2, 11, 7, 11, 2, 12, 7, 12, 2, 13, 7, 13, 2, 14, 7, 14, 2, 15, 7, 15, 2, 16, 7, 16, 2, 17, 7, 17, 2, 18, 7, 18, 2, 19, 7, 19, 2, 20, 7, 20, 2, 21, 7, 21, 2, 22, 7, 22, 2, 23, 7, 23, 2, 24, 7, 24, 2, 25, 7, 25, 2, 26, 7, 26, 2, 27, 7, 27, 2, 28, 7, 28, 2, 29, 7, 29, 2, 30, 7, 30, 2, 31, 7, 31, 2, 32, 7, 32, 2, 33, 7, 33, 2, 34, 7, 34, 2, 35, 7, 35, 2, 36, 7, 36, 2, 37, 7, 37, 2, 38, 7, 38, 2, 39, 7, 39, 2, 40, 7, 40, 2, 41, 7, 41, 2, 42, 7, 42, 2, 43, 7, 43, 2, 44, 7, 44, 2, 45, 7, 45, 2, 46, 7, 46, 2, 47, 7, 47, 2, 48, 7, 48, 2, 49, 7, 49, 2, 50, 7, 50, 2, 51, 7, 51, 2, 52, 7, 52, 2, 53, 7, 53, 2, 54, 7, 54, 2, 55, 7, 55, 2, 56, 7, 56, 2, 57, 7, 57, 2, 58, 7, 58, 2, 59, 7, 59, 2, 60, 7, 60, 2, 61, 7, 61, 2, 62, 7, 62, 2, 63, 7, 63, 2, 64, 7, 64, 2, 65, 7, 65, 2, 66, 7, 66, 2, 67, 7, 67, 2, 68, 7, 68, 2, 69, 7, 69, 2, 70, 7, 70, 2, 71, 7, 71, 2, 72, 7, 72, 2, 73, 7, 73, 2, 74, 7, 74, 2, 75, 7, 75, 2, 76, 7, 76, 2, 77, 7, 77, 2, 78, 7, 78, 2, 79, 7, 79, 2, 80, 7, 80, 2, 81, 7, 81, 2, 82, 7, 82, 2, 83, 7, 83, 2, 84, 7, 84, 2, 85, 7, 85, 2, 86, 7, 86, 2, 87, 7, 87, 2, 88, 7, 88, 2, 89, 7, 89, 2, 90, 7, 90, 2, 91, 7, 91, 2, 92, 7, 92, 2, 93, 7, 93, 2, 94, 7, 94, 2, 95, 7, 95, 2, 96, 7, 96, 2, 97, 7, 97, 2, 98, 7, 98, 2, 99, 7, 99, 2, 100, 7, 100, 2, 101, 7, 101, 2, 102, 7, 102, 2, 103, 7, 103, 2, 104, 7, 104, 2, 105, 7, 105, 2, 106, 7, 106, 2, 107, 7, 107, 2, 108, 7, 108, 2, 109, 7, 109, 2, 110, 7, 110, 2, 111, 7, 111, 2, 112, 7, 112, 2, 113, 7, 113, 2, 114, 7, 114, 2, 115, 7, 115, 2, 116, 7, 116, 2, 117, 7, 117, 2, 118, 7, 118, 2, 119, 7, 119, 2, 120, 7, 120, 2, 121, 7, 121, 2, 122, 7, 122, 2, 123, 7, 123, 2, 124, 7, 124, 2, 125, 7, 125, 2, 126, 7, 126, 2, 127, 7, 127, 2, 128, 7, 128, 2, 129, 7, 129, 2, 130, 7, 130, 2, 131, 7, 131, 2, 132, 7, 132, 2, 133, 7, 133, 2, 134, 7, 134, 2, 135, 7, 135, 2, 136, 7, 136, 2, 137, 7, 137, 2, 138, 7, 138, 2, 139, 7, 139, 2, 140, 7, 140, 2, 141, 7, 141, 2, 142, 7, 142, 2, 143, 7, 143, 2, 144, 7, 144, 2, 145, 7, 145, 2, 146, 7, 146, 2, 147, 7, 147, 2, 148, 7, 148, 2, 149, 7, 149, 2, 150, 7, 150, 2, 151, 7, 151, 2, 152, 7, 152, 2, 153, 7, 153, 2, 154, 7, 154, 2, 155, 7, 155, 2, 156, 7, 156, 2, 157, 7, 157, 2, 158, 7, 158, 2, 159, 7, 159, 2, 160, 7, 160, 2, 161, 7, 161, 2, 162, 7, 162, 2, 163, 7, 163, 2, 164, 7, 164, 2, 165, 7, 165, 2, 166, 7, 166, 2, 167, 7, 167, 2, 168, 7, 168, 2, 169, 7, 169, 2, 170, 7, 170, 2, 171, 7, 171, 2, 172, 7, 172, 2, 173, 7, 173, 2, 174, 7, 174, 2, 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b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseLexer.py new file mode 100644 index 000000000..b0a09a255 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseLexer.py @@ -0,0 +1,1931 @@ +# Generated from SqlBaseLexer.g4 by ANTLR 4.13.1 +from antlr4 import * +from io import StringIO +import sys +if sys.version_info[1] > 5: + from typing import TextIO +else: + from typing.io import TextIO + + +def serializedATN(): + return [ + 4,0,346,3299,6,-1,2,0,7,0,2,1,7,1,2,2,7,2,2,3,7,3,2,4,7,4,2,5,7, + 5,2,6,7,6,2,7,7,7,2,8,7,8,2,9,7,9,2,10,7,10,2,11,7,11,2,12,7,12, + 2,13,7,13,2,14,7,14,2,15,7,15,2,16,7,16,2,17,7,17,2,18,7,18,2,19, + 7,19,2,20,7,20,2,21,7,21,2,22,7,22,2,23,7,23,2,24,7,24,2,25,7,25, + 2,26,7,26,2,27,7,27,2,28,7,28,2,29,7,29,2,30,7,30,2,31,7,31,2,32, + 7,32,2,33,7,33,2,34,7,34,2,35,7,35,2,36,7,36,2,37,7,37,2,38,7,38, + 2,39,7,39,2,40,7,40,2,41,7,41,2,42,7,42,2,43,7,43,2,44,7,44,2,45, + 7,45,2,46,7,46,2,47,7,47,2,48,7,48,2,49,7,49,2,50,7,50,2,51,7,51, + 2,52,7,52,2,53,7,53,2,54,7,54,2,55,7,55,2,56,7,56,2,57,7,57,2,58, + 7,58,2,59,7,59,2,60,7,60,2,61,7,61,2,62,7,62,2,63,7,63,2,64,7,64, + 2,65,7,65,2,66,7,66,2,67,7,67,2,68,7,68,2,69,7,69,2,70,7,70,2,71, + 7,71,2,72,7,72,2,73,7,73,2,74,7,74,2,75,7,75,2,76,7,76,2,77,7,77, + 2,78,7,78,2,79,7,79,2,80,7,80,2,81,7,81,2,82,7,82,2,83,7,83,2,84, + 7,84,2,85,7,85,2,86,7,86,2,87,7,87,2,88,7,88,2,89,7,89,2,90,7,90, + 2,91,7,91,2,92,7,92,2,93,7,93,2,94,7,94,2,95,7,95,2,96,7,96,2,97, + 7,97,2,98,7,98,2,99,7,99,2,100,7,100,2,101,7,101,2,102,7,102,2,103, + 7,103,2,104,7,104,2,105,7,105,2,106,7,106,2,107,7,107,2,108,7,108, + 2,109,7,109,2,110,7,110,2,111,7,111,2,112,7,112,2,113,7,113,2,114, + 7,114,2,115,7,115,2,116,7,116,2,117,7,117,2,118,7,118,2,119,7,119, + 2,120,7,120,2,121,7,121,2,122,7,122,2,123,7,123,2,124,7,124,2,125, + 7,125,2,126,7,126,2,127,7,127,2,128,7,128,2,129,7,129,2,130,7,130, + 2,131,7,131,2,132,7,132,2,133,7,133,2,134,7,134,2,135,7,135,2,136, + 7,136,2,137,7,137,2,138,7,138,2,139,7,139,2,140,7,140,2,141,7,141, + 2,142,7,142,2,143,7,143,2,144,7,144,2,145,7,145,2,146,7,146,2,147, + 7,147,2,148,7,148,2,149,7,149,2,150,7,150,2,151,7,151,2,152,7,152, + 2,153,7,153,2,154,7,154,2,155,7,155,2,156,7,156,2,157,7,157,2,158, + 7,158,2,159,7,159,2,160,7,160,2,161,7,161,2,162,7,162,2,163,7,163, + 2,164,7,164,2,165,7,165,2,166,7,166,2,167,7,167,2,168,7,168,2,169, + 7,169,2,170,7,170,2,171,7,171,2,172,7,172,2,173,7,173,2,174,7,174, + 2,175,7,175,2,176,7,176,2,177,7,177,2,178,7,178,2,179,7,179,2,180, + 7,180,2,181,7,181,2,182,7,182,2,183,7,183,2,184,7,184,2,185,7,185, + 2,186,7,186,2,187,7,187,2,188,7,188,2,189,7,189,2,190,7,190,2,191, + 7,191,2,192,7,192,2,193,7,193,2,194,7,194,2,195,7,195,2,196,7,196, + 2,197,7,197,2,198,7,198,2,199,7,199,2,200,7,200,2,201,7,201,2,202, + 7,202,2,203,7,203,2,204,7,204,2,205,7,205,2,206,7,206,2,207,7,207, + 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3273,5,42,0,0,3273,3274,1,0,0,0,3274,3279,4,347,5,0,3275,3278,3, + 695,347,0,3276,3278,9,0,0,0,3277,3275,1,0,0,0,3277,3276,1,0,0,0, + 3278,3281,1,0,0,0,3279,3280,1,0,0,0,3279,3277,1,0,0,0,3280,3286, + 1,0,0,0,3281,3279,1,0,0,0,3282,3283,5,42,0,0,3283,3287,5,47,0,0, + 3284,3285,6,347,1,0,3285,3287,5,0,0,1,3286,3282,1,0,0,0,3286,3284, + 1,0,0,0,3287,3288,1,0,0,0,3288,3289,6,347,0,0,3289,696,1,0,0,0,3290, + 3292,7,9,0,0,3291,3290,1,0,0,0,3292,3293,1,0,0,0,3293,3291,1,0,0, + 0,3293,3294,1,0,0,0,3294,3295,1,0,0,0,3295,3296,6,348,0,0,3296,698, + 1,0,0,0,3297,3298,9,0,0,0,3298,700,1,0,0,0,50,0,1935,2347,2671,2995, + 3013,3021,3060,3062,3072,3082,3086,3092,3094,3102,3109,3116,3123, + 3128,3136,3144,3147,3153,3158,3163,3166,3172,3177,3182,3185,3192, + 3199,3204,3206,3212,3214,3222,3228,3235,3237,3241,3246,3258,3260, + 3264,3267,3277,3279,3286,3293,2,0,1,0,1,347,0 + ] + +class SqlBaseLexer(Lexer): + + atn = ATNDeserializer().deserialize(serializedATN()) + + decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ] + + SEMICOLON = 1 + LEFT_PAREN = 2 + RIGHT_PAREN = 3 + COMMA = 4 + DOT = 5 + LEFT_BRACKET = 6 + RIGHT_BRACKET = 7 + ADD = 8 + AFTER = 9 + ALL = 10 + ALTER = 11 + ALWAYS = 12 + ANALYZE = 13 + AND = 14 + ANTI = 15 + ANY = 16 + ANY_VALUE = 17 + ARCHIVE = 18 + ARRAY = 19 + AS = 20 + ASC = 21 + AT = 22 + AUTHORIZATION = 23 + BETWEEN = 24 + BOTH = 25 + BUCKET = 26 + BUCKETS = 27 + BY = 28 + CACHE = 29 + CASCADE = 30 + CASE = 31 + CAST = 32 + CATALOG = 33 + CATALOGS = 34 + CHANGE = 35 + CHECK = 36 + CLEAR = 37 + CLUSTER = 38 + CLUSTERED = 39 + CODEGEN = 40 + COLLATE = 41 + COLLECTION = 42 + COLUMN = 43 + COLUMNS = 44 + COMMENT = 45 + COMMIT = 46 + COMPACT = 47 + COMPACTIONS = 48 + COMPUTE = 49 + CONCATENATE = 50 + CONSTRAINT = 51 + COST = 52 + CREATE = 53 + CROSS = 54 + CUBE = 55 + CURRENT = 56 + CURRENT_DATE = 57 + CURRENT_TIME = 58 + CURRENT_TIMESTAMP = 59 + CURRENT_USER = 60 + DAY = 61 + DAYS = 62 + DAYOFYEAR = 63 + DATA = 64 + DATABASE = 65 + DATABASES = 66 + DATEADD = 67 + DATEDIFF = 68 + DBPROPERTIES = 69 + DEFAULT = 70 + DEFINED = 71 + DELETE = 72 + DELIMITED = 73 + DESC = 74 + DESCRIBE = 75 + DFS = 76 + DIRECTORIES = 77 + DIRECTORY = 78 + DISTINCT = 79 + DISTRIBUTE = 80 + DIV = 81 + DROP = 82 + ELSE = 83 + END = 84 + ESCAPE = 85 + ESCAPED = 86 + EXCEPT = 87 + EXCHANGE = 88 + EXCLUDE = 89 + EXISTS = 90 + EXPLAIN = 91 + EXPORT = 92 + EXTENDED = 93 + EXTERNAL = 94 + EXTRACT = 95 + FALSE = 96 + FETCH = 97 + FIELDS = 98 + FILTER = 99 + FILEFORMAT = 100 + FIRST = 101 + FOLLOWING = 102 + FOR = 103 + FOREIGN = 104 + FORMAT = 105 + FORMATTED = 106 + FROM = 107 + FULL = 108 + FUNCTION = 109 + FUNCTIONS = 110 + GENERATED = 111 + GLOBAL = 112 + GRANT = 113 + GROUP = 114 + GROUPING = 115 + HAVING = 116 + HOUR = 117 + HOURS = 118 + IF = 119 + IGNORE = 120 + IMPORT = 121 + IN = 122 + INCLUDE = 123 + INDEX = 124 + INDEXES = 125 + INNER = 126 + INPATH = 127 + INPUTFORMAT = 128 + INSERT = 129 + INTERSECT = 130 + INTERVAL = 131 + INTO = 132 + IS = 133 + ITEMS = 134 + JOIN = 135 + KEYS = 136 + LAST = 137 + LATERAL = 138 + LAZY = 139 + LEADING = 140 + LEFT = 141 + LIKE = 142 + ILIKE = 143 + LIMIT = 144 + LINES = 145 + LIST = 146 + LOAD = 147 + LOCAL = 148 + LOCATION = 149 + LOCK = 150 + LOCKS = 151 + LOGICAL = 152 + MACRO = 153 + MAP = 154 + MATCHED = 155 + MERGE = 156 + MICROSECOND = 157 + MICROSECONDS = 158 + MILLISECOND = 159 + MILLISECONDS = 160 + MINUTE = 161 + MINUTES = 162 + MONTH = 163 + MONTHS = 164 + MSCK = 165 + NAMESPACE = 166 + NAMESPACES = 167 + NANOSECOND = 168 + NANOSECONDS = 169 + NATURAL = 170 + NO = 171 + NOT = 172 + NULL = 173 + NULLS = 174 + OF = 175 + OFFSET = 176 + ON = 177 + ONLY = 178 + OPTION = 179 + OPTIONS = 180 + OR = 181 + ORDER = 182 + OUT = 183 + OUTER = 184 + OUTPUTFORMAT = 185 + OVER = 186 + OVERLAPS = 187 + OVERLAY = 188 + OVERWRITE = 189 + PARTITION = 190 + PARTITIONED = 191 + PARTITIONS = 192 + PERCENTILE_CONT = 193 + PERCENTILE_DISC = 194 + PERCENTLIT = 195 + PIVOT = 196 + PLACING = 197 + POSITION = 198 + PRECEDING = 199 + PRIMARY = 200 + PRINCIPALS = 201 + PROPERTIES = 202 + PURGE = 203 + QUARTER = 204 + QUERY = 205 + RANGE = 206 + RECORDREADER = 207 + RECORDWRITER = 208 + RECOVER = 209 + REDUCE = 210 + REFERENCES = 211 + REFRESH = 212 + RENAME = 213 + REPAIR = 214 + REPEATABLE = 215 + REPLACE = 216 + RESET = 217 + RESPECT = 218 + RESTRICT = 219 + REVOKE = 220 + RIGHT = 221 + RLIKE = 222 + ROLE = 223 + ROLES = 224 + ROLLBACK = 225 + ROLLUP = 226 + ROW = 227 + ROWS = 228 + SECOND = 229 + SECONDS = 230 + SCHEMA = 231 + SCHEMAS = 232 + SELECT = 233 + SEMI = 234 + SEPARATED = 235 + SERDE = 236 + SERDEPROPERTIES = 237 + SESSION_USER = 238 + SET = 239 + SETMINUS = 240 + SETS = 241 + SHOW = 242 + SKEWED = 243 + SOME = 244 + SORT = 245 + SORTED = 246 + SOURCE = 247 + START = 248 + STATISTICS = 249 + STORED = 250 + STRATIFY = 251 + STRUCT = 252 + SUBSTR = 253 + SUBSTRING = 254 + SYNC = 255 + SYSTEM_TIME = 256 + SYSTEM_VERSION = 257 + TABLE = 258 + TABLES = 259 + TABLESAMPLE = 260 + TARGET = 261 + TBLPROPERTIES = 262 + TEMPORARY = 263 + TERMINATED = 264 + THEN = 265 + TIME = 266 + TIMESTAMP = 267 + TIMESTAMPADD = 268 + TIMESTAMPDIFF = 269 + TO = 270 + TOUCH = 271 + TRAILING = 272 + TRANSACTION = 273 + TRANSACTIONS = 274 + TRANSFORM = 275 + TRIM = 276 + TRUE = 277 + TRUNCATE = 278 + TRY_CAST = 279 + TYPE = 280 + UNARCHIVE = 281 + UNBOUNDED = 282 + UNCACHE = 283 + UNION = 284 + UNIQUE = 285 + UNKNOWN = 286 + UNLOCK = 287 + UNPIVOT = 288 + UNSET = 289 + UPDATE = 290 + USE = 291 + USER = 292 + USING = 293 + VALUES = 294 + VERSION = 295 + VIEW = 296 + VIEWS = 297 + WEEK = 298 + WEEKS = 299 + WHEN = 300 + WHERE = 301 + WINDOW = 302 + WITH = 303 + WITHIN = 304 + YEAR = 305 + YEARS = 306 + ZONE = 307 + EQ = 308 + NSEQ = 309 + NEQ = 310 + NEQJ = 311 + LT = 312 + LTE = 313 + GT = 314 + GTE = 315 + PLUS = 316 + MINUS = 317 + ASTERISK = 318 + SLASH = 319 + PERCENT = 320 + TILDE = 321 + AMPERSAND = 322 + PIPE = 323 + CONCAT_PIPE = 324 + HAT = 325 + COLON = 326 + ARROW = 327 + HENT_START = 328 + HENT_END = 329 + STRING = 330 + DOUBLEQUOTED_STRING = 331 + BIGINT_LITERAL = 332 + SMALLINT_LITERAL = 333 + TINYINT_LITERAL = 334 + INTEGER_VALUE = 335 + EXPONENT_VALUE = 336 + DECIMAL_VALUE = 337 + FLOAT_LITERAL = 338 + DOUBLE_LITERAL = 339 + BIGDECIMAL_LITERAL = 340 + IDENTIFIER = 341 + BACKQUOTED_IDENTIFIER = 342 + SIMPLE_COMMENT = 343 + BRACKETED_COMMENT = 344 + WS = 345 + UNRECOGNIZED = 346 + + channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ] + + modeNames = [ "DEFAULT_MODE" ] + + literalNames = [ "", + "';'", "'('", "')'", "','", "'.'", "'['", "']'", "'ADD'", "'AFTER'", + "'ALL'", "'ALTER'", "'ALWAYS'", "'ANALYZE'", "'AND'", "'ANTI'", + "'ANY'", "'ANY_VALUE'", "'ARCHIVE'", "'ARRAY'", "'AS'", "'ASC'", + "'AT'", "'AUTHORIZATION'", "'BETWEEN'", "'BOTH'", "'BUCKET'", + "'BUCKETS'", "'BY'", "'CACHE'", "'CASCADE'", "'CASE'", "'CAST'", + "'CATALOG'", "'CATALOGS'", "'CHANGE'", "'CHECK'", "'CLEAR'", + "'CLUSTER'", "'CLUSTERED'", "'CODEGEN'", "'COLLATE'", "'COLLECTION'", + "'COLUMN'", "'COLUMNS'", "'COMMENT'", "'COMMIT'", "'COMPACT'", + "'COMPACTIONS'", "'COMPUTE'", "'CONCATENATE'", "'CONSTRAINT'", + "'COST'", "'CREATE'", "'CROSS'", "'CUBE'", "'CURRENT'", "'CURRENT_DATE'", + "'CURRENT_TIME'", "'CURRENT_TIMESTAMP'", "'CURRENT_USER'", "'DAY'", + "'DAYS'", "'DAYOFYEAR'", "'DATA'", "'DATABASE'", "'DATABASES'", + "'DATEADD'", "'DATEDIFF'", "'DBPROPERTIES'", "'DEFAULT'", "'DEFINED'", + "'DELETE'", "'DELIMITED'", "'DESC'", "'DESCRIBE'", "'DFS'", + "'DIRECTORIES'", "'DIRECTORY'", "'DISTINCT'", "'DISTRIBUTE'", + "'DIV'", "'DROP'", "'ELSE'", "'END'", "'ESCAPE'", "'ESCAPED'", + "'EXCEPT'", "'EXCHANGE'", "'EXCLUDE'", "'EXISTS'", "'EXPLAIN'", + "'EXPORT'", "'EXTENDED'", "'EXTERNAL'", "'EXTRACT'", "'FALSE'", + "'FETCH'", "'FIELDS'", "'FILTER'", "'FILEFORMAT'", "'FIRST'", + "'FOLLOWING'", "'FOR'", "'FOREIGN'", "'FORMAT'", "'FORMATTED'", + "'FROM'", "'FULL'", "'FUNCTION'", "'FUNCTIONS'", "'GENERATED'", + "'GLOBAL'", "'GRANT'", "'GROUP'", "'GROUPING'", "'HAVING'", + "'HOUR'", "'HOURS'", "'IF'", "'IGNORE'", "'IMPORT'", "'IN'", + "'INCLUDE'", "'INDEX'", "'INDEXES'", "'INNER'", "'INPATH'", + "'INPUTFORMAT'", "'INSERT'", "'INTERSECT'", "'INTERVAL'", "'INTO'", + "'IS'", "'ITEMS'", "'JOIN'", "'KEYS'", "'LAST'", "'LATERAL'", + "'LAZY'", "'LEADING'", "'LEFT'", "'LIKE'", "'ILIKE'", "'LIMIT'", + "'LINES'", "'LIST'", "'LOAD'", "'LOCAL'", "'LOCATION'", "'LOCK'", + "'LOCKS'", "'LOGICAL'", "'MACRO'", "'MAP'", "'MATCHED'", "'MERGE'", + "'MICROSECOND'", "'MICROSECONDS'", "'MILLISECOND'", "'MILLISECONDS'", + "'MINUTE'", "'MINUTES'", "'MONTH'", "'MONTHS'", "'MSCK'", "'NAMESPACE'", + "'NAMESPACES'", "'NANOSECOND'", "'NANOSECONDS'", "'NATURAL'", + "'NO'", "'NULL'", "'NULLS'", "'OF'", "'OFFSET'", "'ON'", "'ONLY'", + "'OPTION'", "'OPTIONS'", "'OR'", "'ORDER'", "'OUT'", "'OUTER'", + "'OUTPUTFORMAT'", "'OVER'", "'OVERLAPS'", "'OVERLAY'", "'OVERWRITE'", + "'PARTITION'", "'PARTITIONED'", "'PARTITIONS'", "'PERCENTILE_CONT'", + "'PERCENTILE_DISC'", "'PERCENT'", "'PIVOT'", "'PLACING'", "'POSITION'", + "'PRECEDING'", "'PRIMARY'", "'PRINCIPALS'", "'PROPERTIES'", + "'PURGE'", "'QUARTER'", "'QUERY'", "'RANGE'", "'RECORDREADER'", + "'RECORDWRITER'", "'RECOVER'", "'REDUCE'", "'REFERENCES'", "'REFRESH'", + "'RENAME'", "'REPAIR'", "'REPEATABLE'", "'REPLACE'", "'RESET'", + "'RESPECT'", "'RESTRICT'", "'REVOKE'", "'RIGHT'", "'ROLE'", + "'ROLES'", "'ROLLBACK'", "'ROLLUP'", "'ROW'", "'ROWS'", "'SECOND'", + "'SECONDS'", "'SCHEMA'", "'SCHEMAS'", "'SELECT'", "'SEMI'", + "'SEPARATED'", "'SERDE'", "'SERDEPROPERTIES'", "'SESSION_USER'", + "'SET'", "'MINUS'", "'SETS'", "'SHOW'", "'SKEWED'", "'SOME'", + "'SORT'", "'SORTED'", "'SOURCE'", "'START'", "'STATISTICS'", + "'STORED'", "'STRATIFY'", "'STRUCT'", "'SUBSTR'", "'SUBSTRING'", + "'SYNC'", "'SYSTEM_TIME'", "'SYSTEM_VERSION'", "'TABLE'", "'TABLES'", + "'TABLESAMPLE'", "'TARGET'", "'TBLPROPERTIES'", "'TERMINATED'", + "'THEN'", "'TIME'", "'TIMESTAMP'", "'TIMESTAMPADD'", "'TIMESTAMPDIFF'", + "'TO'", "'TOUCH'", "'TRAILING'", "'TRANSACTION'", "'TRANSACTIONS'", + "'TRANSFORM'", "'TRIM'", "'TRUE'", "'TRUNCATE'", "'TRY_CAST'", + "'TYPE'", "'UNARCHIVE'", "'UNBOUNDED'", "'UNCACHE'", "'UNION'", + "'UNIQUE'", "'UNKNOWN'", "'UNLOCK'", "'UNPIVOT'", "'UNSET'", + "'UPDATE'", "'USE'", "'USER'", "'USING'", "'VALUES'", "'VERSION'", + "'VIEW'", "'VIEWS'", "'WEEK'", "'WEEKS'", "'WHEN'", "'WHERE'", + "'WINDOW'", "'WITH'", "'WITHIN'", "'YEAR'", "'YEARS'", "'ZONE'", + "'<=>'", "'<>'", "'!='", "'<'", "'>'", "'+'", "'-'", "'*'", + "'/'", "'%'", "'~'", "'&'", "'|'", "'||'", "'^'", "':'", "'->'", + "'/*+'", "'*/'" ] + + symbolicNames = [ "", + "SEMICOLON", "LEFT_PAREN", "RIGHT_PAREN", "COMMA", "DOT", "LEFT_BRACKET", + "RIGHT_BRACKET", "ADD", "AFTER", "ALL", "ALTER", "ALWAYS", "ANALYZE", + "AND", "ANTI", "ANY", "ANY_VALUE", "ARCHIVE", "ARRAY", "AS", + "ASC", "AT", "AUTHORIZATION", "BETWEEN", "BOTH", "BUCKET", "BUCKETS", + "BY", "CACHE", "CASCADE", "CASE", "CAST", "CATALOG", "CATALOGS", + "CHANGE", "CHECK", "CLEAR", "CLUSTER", "CLUSTERED", "CODEGEN", + "COLLATE", "COLLECTION", "COLUMN", "COLUMNS", "COMMENT", "COMMIT", + "COMPACT", "COMPACTIONS", "COMPUTE", "CONCATENATE", "CONSTRAINT", + "COST", "CREATE", "CROSS", "CUBE", "CURRENT", "CURRENT_DATE", + "CURRENT_TIME", "CURRENT_TIMESTAMP", "CURRENT_USER", "DAY", + "DAYS", "DAYOFYEAR", "DATA", "DATABASE", "DATABASES", "DATEADD", + "DATEDIFF", "DBPROPERTIES", "DEFAULT", "DEFINED", "DELETE", + "DELIMITED", "DESC", "DESCRIBE", "DFS", "DIRECTORIES", "DIRECTORY", + "DISTINCT", "DISTRIBUTE", "DIV", "DROP", "ELSE", "END", "ESCAPE", + "ESCAPED", "EXCEPT", "EXCHANGE", "EXCLUDE", "EXISTS", "EXPLAIN", + "EXPORT", "EXTENDED", "EXTERNAL", "EXTRACT", "FALSE", "FETCH", + "FIELDS", "FILTER", "FILEFORMAT", "FIRST", "FOLLOWING", "FOR", + "FOREIGN", "FORMAT", "FORMATTED", "FROM", "FULL", "FUNCTION", + "FUNCTIONS", "GENERATED", "GLOBAL", "GRANT", "GROUP", "GROUPING", + "HAVING", "HOUR", "HOURS", "IF", "IGNORE", "IMPORT", "IN", "INCLUDE", + "INDEX", "INDEXES", "INNER", "INPATH", "INPUTFORMAT", "INSERT", + "INTERSECT", "INTERVAL", "INTO", "IS", "ITEMS", "JOIN", "KEYS", + "LAST", "LATERAL", "LAZY", "LEADING", "LEFT", "LIKE", "ILIKE", + "LIMIT", "LINES", "LIST", "LOAD", "LOCAL", "LOCATION", "LOCK", + "LOCKS", "LOGICAL", "MACRO", "MAP", "MATCHED", "MERGE", "MICROSECOND", + "MICROSECONDS", "MILLISECOND", "MILLISECONDS", "MINUTE", "MINUTES", + "MONTH", "MONTHS", "MSCK", "NAMESPACE", "NAMESPACES", "NANOSECOND", + "NANOSECONDS", "NATURAL", "NO", "NOT", "NULL", "NULLS", "OF", + "OFFSET", "ON", "ONLY", "OPTION", "OPTIONS", "OR", "ORDER", + "OUT", "OUTER", "OUTPUTFORMAT", "OVER", "OVERLAPS", "OVERLAY", + "OVERWRITE", "PARTITION", "PARTITIONED", "PARTITIONS", "PERCENTILE_CONT", + "PERCENTILE_DISC", "PERCENTLIT", "PIVOT", "PLACING", "POSITION", + "PRECEDING", "PRIMARY", "PRINCIPALS", "PROPERTIES", "PURGE", + "QUARTER", "QUERY", "RANGE", "RECORDREADER", "RECORDWRITER", + "RECOVER", "REDUCE", "REFERENCES", "REFRESH", "RENAME", "REPAIR", + "REPEATABLE", "REPLACE", "RESET", "RESPECT", "RESTRICT", "REVOKE", + "RIGHT", "RLIKE", "ROLE", "ROLES", "ROLLBACK", "ROLLUP", "ROW", + "ROWS", "SECOND", "SECONDS", "SCHEMA", "SCHEMAS", "SELECT", + "SEMI", "SEPARATED", "SERDE", "SERDEPROPERTIES", "SESSION_USER", + "SET", "SETMINUS", "SETS", "SHOW", "SKEWED", "SOME", "SORT", + "SORTED", "SOURCE", "START", "STATISTICS", "STORED", "STRATIFY", + "STRUCT", "SUBSTR", "SUBSTRING", "SYNC", "SYSTEM_TIME", "SYSTEM_VERSION", + "TABLE", "TABLES", "TABLESAMPLE", "TARGET", "TBLPROPERTIES", + "TEMPORARY", "TERMINATED", "THEN", "TIME", "TIMESTAMP", "TIMESTAMPADD", + "TIMESTAMPDIFF", "TO", "TOUCH", "TRAILING", "TRANSACTION", "TRANSACTIONS", + "TRANSFORM", "TRIM", "TRUE", "TRUNCATE", "TRY_CAST", "TYPE", + "UNARCHIVE", "UNBOUNDED", "UNCACHE", "UNION", "UNIQUE", "UNKNOWN", + "UNLOCK", "UNPIVOT", "UNSET", "UPDATE", "USE", "USER", "USING", + "VALUES", "VERSION", "VIEW", "VIEWS", "WEEK", "WEEKS", "WHEN", + "WHERE", "WINDOW", "WITH", "WITHIN", "YEAR", "YEARS", "ZONE", + "EQ", "NSEQ", "NEQ", "NEQJ", "LT", "LTE", "GT", "GTE", "PLUS", + "MINUS", "ASTERISK", "SLASH", "PERCENT", "TILDE", "AMPERSAND", + "PIPE", "CONCAT_PIPE", "HAT", "COLON", "ARROW", "HENT_START", + "HENT_END", "STRING", "DOUBLEQUOTED_STRING", "BIGINT_LITERAL", + "SMALLINT_LITERAL", "TINYINT_LITERAL", "INTEGER_VALUE", "EXPONENT_VALUE", + "DECIMAL_VALUE", "FLOAT_LITERAL", "DOUBLE_LITERAL", "BIGDECIMAL_LITERAL", + "IDENTIFIER", "BACKQUOTED_IDENTIFIER", "SIMPLE_COMMENT", "BRACKETED_COMMENT", + "WS", "UNRECOGNIZED" ] + + ruleNames = [ "SEMICOLON", "LEFT_PAREN", "RIGHT_PAREN", "COMMA", "DOT", + "LEFT_BRACKET", "RIGHT_BRACKET", "ADD", "AFTER", "ALL", + "ALTER", "ALWAYS", "ANALYZE", "AND", "ANTI", "ANY", "ANY_VALUE", + "ARCHIVE", "ARRAY", "AS", "ASC", "AT", "AUTHORIZATION", + "BETWEEN", "BOTH", "BUCKET", "BUCKETS", "BY", "CACHE", + "CASCADE", "CASE", "CAST", "CATALOG", "CATALOGS", "CHANGE", + "CHECK", "CLEAR", "CLUSTER", "CLUSTERED", "CODEGEN", "COLLATE", + "COLLECTION", "COLUMN", "COLUMNS", "COMMENT", "COMMIT", + "COMPACT", "COMPACTIONS", "COMPUTE", "CONCATENATE", "CONSTRAINT", + "COST", "CREATE", "CROSS", "CUBE", "CURRENT", "CURRENT_DATE", + "CURRENT_TIME", "CURRENT_TIMESTAMP", "CURRENT_USER", "DAY", + "DAYS", "DAYOFYEAR", "DATA", "DATABASE", "DATABASES", + "DATEADD", "DATEDIFF", "DBPROPERTIES", "DEFAULT", "DEFINED", + "DELETE", "DELIMITED", "DESC", "DESCRIBE", "DFS", "DIRECTORIES", + "DIRECTORY", "DISTINCT", "DISTRIBUTE", "DIV", "DROP", + "ELSE", "END", "ESCAPE", "ESCAPED", "EXCEPT", "EXCHANGE", + "EXCLUDE", "EXISTS", "EXPLAIN", "EXPORT", "EXTENDED", + "EXTERNAL", "EXTRACT", "FALSE", "FETCH", "FIELDS", "FILTER", + "FILEFORMAT", "FIRST", "FOLLOWING", "FOR", "FOREIGN", + "FORMAT", "FORMATTED", "FROM", "FULL", "FUNCTION", "FUNCTIONS", + "GENERATED", "GLOBAL", "GRANT", "GROUP", "GROUPING", "HAVING", + "HOUR", "HOURS", "IF", "IGNORE", "IMPORT", "IN", "INCLUDE", + "INDEX", "INDEXES", "INNER", "INPATH", "INPUTFORMAT", + "INSERT", "INTERSECT", "INTERVAL", "INTO", "IS", "ITEMS", + "JOIN", "KEYS", "LAST", "LATERAL", "LAZY", "LEADING", + "LEFT", "LIKE", "ILIKE", "LIMIT", "LINES", "LIST", "LOAD", + "LOCAL", "LOCATION", "LOCK", "LOCKS", "LOGICAL", "MACRO", + "MAP", "MATCHED", "MERGE", "MICROSECOND", "MICROSECONDS", + "MILLISECOND", "MILLISECONDS", "MINUTE", "MINUTES", "MONTH", + "MONTHS", "MSCK", "NAMESPACE", "NAMESPACES", "NANOSECOND", + "NANOSECONDS", "NATURAL", "NO", "NOT", "NULL", "NULLS", + "OF", "OFFSET", "ON", "ONLY", "OPTION", "OPTIONS", "OR", + "ORDER", "OUT", "OUTER", "OUTPUTFORMAT", "OVER", "OVERLAPS", + "OVERLAY", "OVERWRITE", "PARTITION", "PARTITIONED", "PARTITIONS", + "PERCENTILE_CONT", "PERCENTILE_DISC", "PERCENTLIT", "PIVOT", + "PLACING", "POSITION", "PRECEDING", "PRIMARY", "PRINCIPALS", + "PROPERTIES", "PURGE", "QUARTER", "QUERY", "RANGE", "RECORDREADER", + "RECORDWRITER", "RECOVER", "REDUCE", "REFERENCES", "REFRESH", + "RENAME", "REPAIR", "REPEATABLE", "REPLACE", "RESET", + "RESPECT", "RESTRICT", "REVOKE", "RIGHT", "RLIKE", "ROLE", + "ROLES", "ROLLBACK", "ROLLUP", "ROW", "ROWS", "SECOND", + "SECONDS", "SCHEMA", "SCHEMAS", "SELECT", "SEMI", "SEPARATED", + "SERDE", "SERDEPROPERTIES", "SESSION_USER", "SET", "SETMINUS", + "SETS", "SHOW", "SKEWED", "SOME", "SORT", "SORTED", "SOURCE", + "START", "STATISTICS", "STORED", "STRATIFY", "STRUCT", + "SUBSTR", "SUBSTRING", "SYNC", "SYSTEM_TIME", "SYSTEM_VERSION", + "TABLE", "TABLES", "TABLESAMPLE", "TARGET", "TBLPROPERTIES", + "TEMPORARY", "TERMINATED", "THEN", "TIME", "TIMESTAMP", + "TIMESTAMPADD", "TIMESTAMPDIFF", "TO", "TOUCH", "TRAILING", + "TRANSACTION", "TRANSACTIONS", "TRANSFORM", "TRIM", "TRUE", + "TRUNCATE", "TRY_CAST", "TYPE", "UNARCHIVE", "UNBOUNDED", + "UNCACHE", "UNION", "UNIQUE", "UNKNOWN", "UNLOCK", "UNPIVOT", + "UNSET", "UPDATE", "USE", "USER", "USING", "VALUES", "VERSION", + "VIEW", "VIEWS", "WEEK", "WEEKS", "WHEN", "WHERE", "WINDOW", + "WITH", "WITHIN", "YEAR", "YEARS", "ZONE", "EQ", "NSEQ", + "NEQ", "NEQJ", "LT", "LTE", "GT", "GTE", "PLUS", "MINUS", + "ASTERISK", "SLASH", "PERCENT", "TILDE", "AMPERSAND", + "PIPE", "CONCAT_PIPE", "HAT", "COLON", "ARROW", "HENT_START", + "HENT_END", "STRING", "DOUBLEQUOTED_STRING", "BIGINT_LITERAL", + "SMALLINT_LITERAL", "TINYINT_LITERAL", "INTEGER_VALUE", + "EXPONENT_VALUE", "DECIMAL_VALUE", "FLOAT_LITERAL", "DOUBLE_LITERAL", + "BIGDECIMAL_LITERAL", "IDENTIFIER", "BACKQUOTED_IDENTIFIER", + "DECIMAL_DIGITS", "EXPONENT", "DIGIT", "LETTER", "SIMPLE_COMMENT", + "BRACKETED_COMMENT", "WS", "UNRECOGNIZED" ] + + grammarFileName = "SqlBaseLexer.g4" + + def __init__(self, input=None, output:TextIO = sys.stdout): + super().__init__(input, output) + self.checkVersion("4.13.1") + self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache()) + self._actions = None + self._predicates = None + + # When true, parser should throw ParseException for unclosed bracketed comment. + has_unclosed_bracketed_comment: bool = False + + def isValidDecimal(self): + """ + Verify whether current token is a valid decimal token (which contains dot). + Returns true if the character that follows the token is not a digit or letter or underscore. + + * For example: + * For char stream "2.3", "2." is not a valid decimal token, because it is followed by digit '3'. + * For char stream "2.3_", "2.3" is not a valid decimal token, because it is followed by '_'. + * For char stream "2.3W", "2.3" is not a valid decimal token, because it is followed by 'W'. + * For char stream "12.0D 34.E2+0.12 " 12.0D is a valid decimal token because it is followed + * by a space. 34.E2 is a valid decimal token because it is followed by symbol '+' + * which is not a digit or letter or underscore. + """ + nextCharCode = self._input.LA(1) + if nextCharCode == -1: # EOF - end of input is a valid delimiter + return True + nextChar = chr(nextCharCode) + if ( + nextChar >= 'A' + and nextChar <= 'Z' + or nextChar >= '0' + and nextChar <= '9' + or nextChar == '_' + ): + return False + else: + return True + + def isHint(self) -> bool: + """ + This method will be called when we see '/*' and try to match it as a bracketed comment. + If the next character is '+', it should be parsed as hint later, and we cannot match + it as a bracketed comment. + Returns true if the next character is '+'. + """ + nextCharCode = self._input.LA(1) + if nextCharCode == -1: # EOF + return False + nextChar = chr(nextCharCode) + if nextChar == '+': + return True + else: + return False + + def markUnclosedComment(self): + """ + This method will be called when the character stream ends and try to find out the + unclosed bracketed comment. + If the method be called, it means the end of the entire character stream match, + and we set the flag and fail later. + """ + self.has_unclosed_bracketed_comment = True + + def action(self, localctx:RuleContext, ruleIndex:int, actionIndex:int): + if self._actions is None: + actions = dict() + actions[347] = self.BRACKETED_COMMENT_action + self._actions = actions + action = self._actions.get(ruleIndex, None) + if action is not None: + action(localctx, actionIndex) + else: + raise Exception("No registered action for:" + str(ruleIndex)) + + + def BRACKETED_COMMENT_action(self, localctx:RuleContext , actionIndex:int): + if actionIndex == 0: + self.markUnclosedComment() + + def sempred(self, localctx:RuleContext, ruleIndex:int, predIndex:int): + if self._predicates is None: + preds = dict() + preds[335] = self.EXPONENT_VALUE_sempred + preds[336] = self.DECIMAL_VALUE_sempred + preds[337] = self.FLOAT_LITERAL_sempred + preds[338] = self.DOUBLE_LITERAL_sempred + preds[339] = self.BIGDECIMAL_LITERAL_sempred + preds[347] = self.BRACKETED_COMMENT_sempred + self._predicates = preds + pred = self._predicates.get(ruleIndex, None) + if pred is not None: + return pred(localctx, predIndex) + else: + raise Exception("No registered predicate for:" + str(ruleIndex)) + + def EXPONENT_VALUE_sempred(self, localctx:RuleContext, predIndex:int): + if predIndex == 0: + return self.isValidDecimal() + + def DECIMAL_VALUE_sempred(self, localctx:RuleContext, predIndex:int): + if predIndex == 1: + return self.isValidDecimal() + + def FLOAT_LITERAL_sempred(self, localctx:RuleContext, predIndex:int): + if predIndex == 2: + return self.isValidDecimal() + + def DOUBLE_LITERAL_sempred(self, localctx:RuleContext, predIndex:int): + if predIndex == 3: + return self.isValidDecimal() + + def BIGDECIMAL_LITERAL_sempred(self, localctx:RuleContext, predIndex:int): + if predIndex == 4: + return self.isValidDecimal() + + def BRACKETED_COMMENT_sempred(self, localctx:RuleContext, predIndex:int): + if predIndex == 5: + return not self.isHint() diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseLexer.tokens b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseLexer.tokens new file mode 100644 index 000000000..c76d66e32 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseLexer.tokens @@ -0,0 +1,669 @@ +SEMICOLON=1 +LEFT_PAREN=2 +RIGHT_PAREN=3 +COMMA=4 +DOT=5 +LEFT_BRACKET=6 +RIGHT_BRACKET=7 +ADD=8 +AFTER=9 +ALL=10 +ALTER=11 +ALWAYS=12 +ANALYZE=13 +AND=14 +ANTI=15 +ANY=16 +ANY_VALUE=17 +ARCHIVE=18 +ARRAY=19 +AS=20 +ASC=21 +AT=22 +AUTHORIZATION=23 +BETWEEN=24 +BOTH=25 +BUCKET=26 +BUCKETS=27 +BY=28 +CACHE=29 +CASCADE=30 +CASE=31 +CAST=32 +CATALOG=33 +CATALOGS=34 +CHANGE=35 +CHECK=36 +CLEAR=37 +CLUSTER=38 +CLUSTERED=39 +CODEGEN=40 +COLLATE=41 +COLLECTION=42 +COLUMN=43 +COLUMNS=44 +COMMENT=45 +COMMIT=46 +COMPACT=47 +COMPACTIONS=48 +COMPUTE=49 +CONCATENATE=50 +CONSTRAINT=51 +COST=52 +CREATE=53 +CROSS=54 +CUBE=55 +CURRENT=56 +CURRENT_DATE=57 +CURRENT_TIME=58 +CURRENT_TIMESTAMP=59 +CURRENT_USER=60 +DAY=61 +DAYS=62 +DAYOFYEAR=63 +DATA=64 +DATABASE=65 +DATABASES=66 +DATEADD=67 +DATEDIFF=68 +DBPROPERTIES=69 +DEFAULT=70 +DEFINED=71 +DELETE=72 +DELIMITED=73 +DESC=74 +DESCRIBE=75 +DFS=76 +DIRECTORIES=77 +DIRECTORY=78 +DISTINCT=79 +DISTRIBUTE=80 +DIV=81 +DROP=82 +ELSE=83 +END=84 +ESCAPE=85 +ESCAPED=86 +EXCEPT=87 +EXCHANGE=88 +EXCLUDE=89 +EXISTS=90 +EXPLAIN=91 +EXPORT=92 +EXTENDED=93 +EXTERNAL=94 +EXTRACT=95 +FALSE=96 +FETCH=97 +FIELDS=98 +FILTER=99 +FILEFORMAT=100 +FIRST=101 +FOLLOWING=102 +FOR=103 +FOREIGN=104 +FORMAT=105 +FORMATTED=106 +FROM=107 +FULL=108 +FUNCTION=109 +FUNCTIONS=110 +GENERATED=111 +GLOBAL=112 +GRANT=113 +GROUP=114 +GROUPING=115 +HAVING=116 +HOUR=117 +HOURS=118 +IF=119 +IGNORE=120 +IMPORT=121 +IN=122 +INCLUDE=123 +INDEX=124 +INDEXES=125 +INNER=126 +INPATH=127 +INPUTFORMAT=128 +INSERT=129 +INTERSECT=130 +INTERVAL=131 +INTO=132 +IS=133 +ITEMS=134 +JOIN=135 +KEYS=136 +LAST=137 +LATERAL=138 +LAZY=139 +LEADING=140 +LEFT=141 +LIKE=142 +ILIKE=143 +LIMIT=144 +LINES=145 +LIST=146 +LOAD=147 +LOCAL=148 +LOCATION=149 +LOCK=150 +LOCKS=151 +LOGICAL=152 +MACRO=153 +MAP=154 +MATCHED=155 +MERGE=156 +MICROSECOND=157 +MICROSECONDS=158 +MILLISECOND=159 +MILLISECONDS=160 +MINUTE=161 +MINUTES=162 +MONTH=163 +MONTHS=164 +MSCK=165 +NAMESPACE=166 +NAMESPACES=167 +NANOSECOND=168 +NANOSECONDS=169 +NATURAL=170 +NO=171 +NOT=172 +NULL=173 +NULLS=174 +OF=175 +OFFSET=176 +ON=177 +ONLY=178 +OPTION=179 +OPTIONS=180 +OR=181 +ORDER=182 +OUT=183 +OUTER=184 +OUTPUTFORMAT=185 +OVER=186 +OVERLAPS=187 +OVERLAY=188 +OVERWRITE=189 +PARTITION=190 +PARTITIONED=191 +PARTITIONS=192 +PERCENTILE_CONT=193 +PERCENTILE_DISC=194 +PERCENTLIT=195 +PIVOT=196 +PLACING=197 +POSITION=198 +PRECEDING=199 +PRIMARY=200 +PRINCIPALS=201 +PROPERTIES=202 +PURGE=203 +QUARTER=204 +QUERY=205 +RANGE=206 +RECORDREADER=207 +RECORDWRITER=208 +RECOVER=209 +REDUCE=210 +REFERENCES=211 +REFRESH=212 +RENAME=213 +REPAIR=214 +REPEATABLE=215 +REPLACE=216 +RESET=217 +RESPECT=218 +RESTRICT=219 +REVOKE=220 +RIGHT=221 +RLIKE=222 +ROLE=223 +ROLES=224 +ROLLBACK=225 +ROLLUP=226 +ROW=227 +ROWS=228 +SECOND=229 +SECONDS=230 +SCHEMA=231 +SCHEMAS=232 +SELECT=233 +SEMI=234 +SEPARATED=235 +SERDE=236 +SERDEPROPERTIES=237 +SESSION_USER=238 +SET=239 +SETMINUS=240 +SETS=241 +SHOW=242 +SKEWED=243 +SOME=244 +SORT=245 +SORTED=246 +SOURCE=247 +START=248 +STATISTICS=249 +STORED=250 +STRATIFY=251 +STRUCT=252 +SUBSTR=253 +SUBSTRING=254 +SYNC=255 +SYSTEM_TIME=256 +SYSTEM_VERSION=257 +TABLE=258 +TABLES=259 +TABLESAMPLE=260 +TARGET=261 +TBLPROPERTIES=262 +TEMPORARY=263 +TERMINATED=264 +THEN=265 +TIME=266 +TIMESTAMP=267 +TIMESTAMPADD=268 +TIMESTAMPDIFF=269 +TO=270 +TOUCH=271 +TRAILING=272 +TRANSACTION=273 +TRANSACTIONS=274 +TRANSFORM=275 +TRIM=276 +TRUE=277 +TRUNCATE=278 +TRY_CAST=279 +TYPE=280 +UNARCHIVE=281 +UNBOUNDED=282 +UNCACHE=283 +UNION=284 +UNIQUE=285 +UNKNOWN=286 +UNLOCK=287 +UNPIVOT=288 +UNSET=289 +UPDATE=290 +USE=291 +USER=292 +USING=293 +VALUES=294 +VERSION=295 +VIEW=296 +VIEWS=297 +WEEK=298 +WEEKS=299 +WHEN=300 +WHERE=301 +WINDOW=302 +WITH=303 +WITHIN=304 +YEAR=305 +YEARS=306 +ZONE=307 +EQ=308 +NSEQ=309 +NEQ=310 +NEQJ=311 +LT=312 +LTE=313 +GT=314 +GTE=315 +PLUS=316 +MINUS=317 +ASTERISK=318 +SLASH=319 +PERCENT=320 +TILDE=321 +AMPERSAND=322 +PIPE=323 +CONCAT_PIPE=324 +HAT=325 +COLON=326 +ARROW=327 +HENT_START=328 +HENT_END=329 +STRING=330 +DOUBLEQUOTED_STRING=331 +BIGINT_LITERAL=332 +SMALLINT_LITERAL=333 +TINYINT_LITERAL=334 +INTEGER_VALUE=335 +EXPONENT_VALUE=336 +DECIMAL_VALUE=337 +FLOAT_LITERAL=338 +DOUBLE_LITERAL=339 +BIGDECIMAL_LITERAL=340 +IDENTIFIER=341 +BACKQUOTED_IDENTIFIER=342 +SIMPLE_COMMENT=343 +BRACKETED_COMMENT=344 +WS=345 +UNRECOGNIZED=346 +';'=1 +'('=2 +')'=3 +','=4 +'.'=5 +'['=6 +']'=7 +'ADD'=8 +'AFTER'=9 +'ALL'=10 +'ALTER'=11 +'ALWAYS'=12 +'ANALYZE'=13 +'AND'=14 +'ANTI'=15 +'ANY'=16 +'ANY_VALUE'=17 +'ARCHIVE'=18 +'ARRAY'=19 +'AS'=20 +'ASC'=21 +'AT'=22 +'AUTHORIZATION'=23 +'BETWEEN'=24 +'BOTH'=25 +'BUCKET'=26 +'BUCKETS'=27 +'BY'=28 +'CACHE'=29 +'CASCADE'=30 +'CASE'=31 +'CAST'=32 +'CATALOG'=33 +'CATALOGS'=34 +'CHANGE'=35 +'CHECK'=36 +'CLEAR'=37 +'CLUSTER'=38 +'CLUSTERED'=39 +'CODEGEN'=40 +'COLLATE'=41 +'COLLECTION'=42 +'COLUMN'=43 +'COLUMNS'=44 +'COMMENT'=45 +'COMMIT'=46 +'COMPACT'=47 +'COMPACTIONS'=48 +'COMPUTE'=49 +'CONCATENATE'=50 +'CONSTRAINT'=51 +'COST'=52 +'CREATE'=53 +'CROSS'=54 +'CUBE'=55 +'CURRENT'=56 +'CURRENT_DATE'=57 +'CURRENT_TIME'=58 +'CURRENT_TIMESTAMP'=59 +'CURRENT_USER'=60 +'DAY'=61 +'DAYS'=62 +'DAYOFYEAR'=63 +'DATA'=64 +'DATABASE'=65 +'DATABASES'=66 +'DATEADD'=67 +'DATEDIFF'=68 +'DBPROPERTIES'=69 +'DEFAULT'=70 +'DEFINED'=71 +'DELETE'=72 +'DELIMITED'=73 +'DESC'=74 +'DESCRIBE'=75 +'DFS'=76 +'DIRECTORIES'=77 +'DIRECTORY'=78 +'DISTINCT'=79 +'DISTRIBUTE'=80 +'DIV'=81 +'DROP'=82 +'ELSE'=83 +'END'=84 +'ESCAPE'=85 +'ESCAPED'=86 +'EXCEPT'=87 +'EXCHANGE'=88 +'EXCLUDE'=89 +'EXISTS'=90 +'EXPLAIN'=91 +'EXPORT'=92 +'EXTENDED'=93 +'EXTERNAL'=94 +'EXTRACT'=95 +'FALSE'=96 +'FETCH'=97 +'FIELDS'=98 +'FILTER'=99 +'FILEFORMAT'=100 +'FIRST'=101 +'FOLLOWING'=102 +'FOR'=103 +'FOREIGN'=104 +'FORMAT'=105 +'FORMATTED'=106 +'FROM'=107 +'FULL'=108 +'FUNCTION'=109 +'FUNCTIONS'=110 +'GENERATED'=111 +'GLOBAL'=112 +'GRANT'=113 +'GROUP'=114 +'GROUPING'=115 +'HAVING'=116 +'HOUR'=117 +'HOURS'=118 +'IF'=119 +'IGNORE'=120 +'IMPORT'=121 +'IN'=122 +'INCLUDE'=123 +'INDEX'=124 +'INDEXES'=125 +'INNER'=126 +'INPATH'=127 +'INPUTFORMAT'=128 +'INSERT'=129 +'INTERSECT'=130 +'INTERVAL'=131 +'INTO'=132 +'IS'=133 +'ITEMS'=134 +'JOIN'=135 +'KEYS'=136 +'LAST'=137 +'LATERAL'=138 +'LAZY'=139 +'LEADING'=140 +'LEFT'=141 +'LIKE'=142 +'ILIKE'=143 +'LIMIT'=144 +'LINES'=145 +'LIST'=146 +'LOAD'=147 +'LOCAL'=148 +'LOCATION'=149 +'LOCK'=150 +'LOCKS'=151 +'LOGICAL'=152 +'MACRO'=153 +'MAP'=154 +'MATCHED'=155 +'MERGE'=156 +'MICROSECOND'=157 +'MICROSECONDS'=158 +'MILLISECOND'=159 +'MILLISECONDS'=160 +'MINUTE'=161 +'MINUTES'=162 +'MONTH'=163 +'MONTHS'=164 +'MSCK'=165 +'NAMESPACE'=166 +'NAMESPACES'=167 +'NANOSECOND'=168 +'NANOSECONDS'=169 +'NATURAL'=170 +'NO'=171 +'NULL'=173 +'NULLS'=174 +'OF'=175 +'OFFSET'=176 +'ON'=177 +'ONLY'=178 +'OPTION'=179 +'OPTIONS'=180 +'OR'=181 +'ORDER'=182 +'OUT'=183 +'OUTER'=184 +'OUTPUTFORMAT'=185 +'OVER'=186 +'OVERLAPS'=187 +'OVERLAY'=188 +'OVERWRITE'=189 +'PARTITION'=190 +'PARTITIONED'=191 +'PARTITIONS'=192 +'PERCENTILE_CONT'=193 +'PERCENTILE_DISC'=194 +'PERCENT'=195 +'PIVOT'=196 +'PLACING'=197 +'POSITION'=198 +'PRECEDING'=199 +'PRIMARY'=200 +'PRINCIPALS'=201 +'PROPERTIES'=202 +'PURGE'=203 +'QUARTER'=204 +'QUERY'=205 +'RANGE'=206 +'RECORDREADER'=207 +'RECORDWRITER'=208 +'RECOVER'=209 +'REDUCE'=210 +'REFERENCES'=211 +'REFRESH'=212 +'RENAME'=213 +'REPAIR'=214 +'REPEATABLE'=215 +'REPLACE'=216 +'RESET'=217 +'RESPECT'=218 +'RESTRICT'=219 +'REVOKE'=220 +'RIGHT'=221 +'ROLE'=223 +'ROLES'=224 +'ROLLBACK'=225 +'ROLLUP'=226 +'ROW'=227 +'ROWS'=228 +'SECOND'=229 +'SECONDS'=230 +'SCHEMA'=231 +'SCHEMAS'=232 +'SELECT'=233 +'SEMI'=234 +'SEPARATED'=235 +'SERDE'=236 +'SERDEPROPERTIES'=237 +'SESSION_USER'=238 +'SET'=239 +'MINUS'=240 +'SETS'=241 +'SHOW'=242 +'SKEWED'=243 +'SOME'=244 +'SORT'=245 +'SORTED'=246 +'SOURCE'=247 +'START'=248 +'STATISTICS'=249 +'STORED'=250 +'STRATIFY'=251 +'STRUCT'=252 +'SUBSTR'=253 +'SUBSTRING'=254 +'SYNC'=255 +'SYSTEM_TIME'=256 +'SYSTEM_VERSION'=257 +'TABLE'=258 +'TABLES'=259 +'TABLESAMPLE'=260 +'TARGET'=261 +'TBLPROPERTIES'=262 +'TERMINATED'=264 +'THEN'=265 +'TIME'=266 +'TIMESTAMP'=267 +'TIMESTAMPADD'=268 +'TIMESTAMPDIFF'=269 +'TO'=270 +'TOUCH'=271 +'TRAILING'=272 +'TRANSACTION'=273 +'TRANSACTIONS'=274 +'TRANSFORM'=275 +'TRIM'=276 +'TRUE'=277 +'TRUNCATE'=278 +'TRY_CAST'=279 +'TYPE'=280 +'UNARCHIVE'=281 +'UNBOUNDED'=282 +'UNCACHE'=283 +'UNION'=284 +'UNIQUE'=285 +'UNKNOWN'=286 +'UNLOCK'=287 +'UNPIVOT'=288 +'UNSET'=289 +'UPDATE'=290 +'USE'=291 +'USER'=292 +'USING'=293 +'VALUES'=294 +'VERSION'=295 +'VIEW'=296 +'VIEWS'=297 +'WEEK'=298 +'WEEKS'=299 +'WHEN'=300 +'WHERE'=301 +'WINDOW'=302 +'WITH'=303 +'WITHIN'=304 +'YEAR'=305 +'YEARS'=306 +'ZONE'=307 +'<=>'=309 +'<>'=310 +'!='=311 +'<'=312 +'>'=314 +'+'=316 +'-'=317 +'*'=318 +'/'=319 +'%'=320 +'~'=321 +'&'=322 +'|'=323 +'||'=324 +'^'=325 +':'=326 +'->'=327 +'/*+'=328 +'*/'=329 diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParser.interp b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParser.interp new file mode 100644 index 000000000..ae31a6f53 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParser.interp @@ -0,0 +1,878 @@ +token literal names: +null +';' +'(' +')' +',' +'.' +'[' +']' +'ADD' +'AFTER' +'ALL' +'ALTER' +'ALWAYS' +'ANALYZE' +'AND' +'ANTI' +'ANY' +'ANY_VALUE' +'ARCHIVE' +'ARRAY' +'AS' +'ASC' +'AT' +'AUTHORIZATION' +'BETWEEN' +'BOTH' +'BUCKET' +'BUCKETS' +'BY' +'CACHE' +'CASCADE' +'CASE' +'CAST' +'CATALOG' +'CATALOGS' +'CHANGE' +'CHECK' +'CLEAR' +'CLUSTER' +'CLUSTERED' +'CODEGEN' +'COLLATE' +'COLLECTION' +'COLUMN' +'COLUMNS' +'COMMENT' +'COMMIT' +'COMPACT' +'COMPACTIONS' +'COMPUTE' +'CONCATENATE' +'CONSTRAINT' +'COST' +'CREATE' +'CROSS' +'CUBE' +'CURRENT' +'CURRENT_DATE' +'CURRENT_TIME' +'CURRENT_TIMESTAMP' +'CURRENT_USER' +'DAY' +'DAYS' +'DAYOFYEAR' +'DATA' +'DATABASE' +'DATABASES' +'DATEADD' +'DATEDIFF' +'DBPROPERTIES' +'DEFAULT' +'DEFINED' +'DELETE' +'DELIMITED' +'DESC' +'DESCRIBE' +'DFS' +'DIRECTORIES' +'DIRECTORY' +'DISTINCT' +'DISTRIBUTE' +'DIV' +'DROP' +'ELSE' +'END' +'ESCAPE' +'ESCAPED' +'EXCEPT' +'EXCHANGE' +'EXCLUDE' +'EXISTS' +'EXPLAIN' +'EXPORT' +'EXTENDED' +'EXTERNAL' +'EXTRACT' +'FALSE' +'FETCH' +'FIELDS' +'FILTER' +'FILEFORMAT' +'FIRST' +'FOLLOWING' +'FOR' +'FOREIGN' +'FORMAT' +'FORMATTED' +'FROM' +'FULL' +'FUNCTION' +'FUNCTIONS' +'GENERATED' +'GLOBAL' +'GRANT' +'GROUP' +'GROUPING' +'HAVING' +'HOUR' +'HOURS' +'IF' +'IGNORE' +'IMPORT' +'IN' +'INCLUDE' +'INDEX' +'INDEXES' +'INNER' +'INPATH' +'INPUTFORMAT' +'INSERT' +'INTERSECT' +'INTERVAL' +'INTO' +'IS' +'ITEMS' +'JOIN' +'KEYS' +'LAST' +'LATERAL' +'LAZY' +'LEADING' +'LEFT' +'LIKE' +'ILIKE' +'LIMIT' +'LINES' +'LIST' +'LOAD' +'LOCAL' +'LOCATION' +'LOCK' +'LOCKS' +'LOGICAL' +'MACRO' +'MAP' +'MATCHED' +'MERGE' +'MICROSECOND' +'MICROSECONDS' +'MILLISECOND' +'MILLISECONDS' +'MINUTE' +'MINUTES' +'MONTH' +'MONTHS' +'MSCK' +'NAMESPACE' +'NAMESPACES' +'NANOSECOND' +'NANOSECONDS' +'NATURAL' +'NO' +null +'NULL' +'NULLS' +'OF' +'OFFSET' +'ON' +'ONLY' +'OPTION' +'OPTIONS' +'OR' +'ORDER' +'OUT' +'OUTER' +'OUTPUTFORMAT' +'OVER' +'OVERLAPS' +'OVERLAY' +'OVERWRITE' +'PARTITION' +'PARTITIONED' +'PARTITIONS' +'PERCENTILE_CONT' +'PERCENTILE_DISC' +'PERCENT' +'PIVOT' +'PLACING' +'POSITION' +'PRECEDING' +'PRIMARY' +'PRINCIPALS' +'PROPERTIES' +'PURGE' +'QUARTER' +'QUERY' +'RANGE' +'RECORDREADER' +'RECORDWRITER' +'RECOVER' +'REDUCE' +'REFERENCES' +'REFRESH' +'RENAME' +'REPAIR' +'REPEATABLE' +'REPLACE' +'RESET' +'RESPECT' +'RESTRICT' +'REVOKE' +'RIGHT' +null +'ROLE' +'ROLES' +'ROLLBACK' +'ROLLUP' +'ROW' +'ROWS' +'SECOND' +'SECONDS' +'SCHEMA' +'SCHEMAS' +'SELECT' +'SEMI' +'SEPARATED' +'SERDE' +'SERDEPROPERTIES' +'SESSION_USER' +'SET' +'MINUS' +'SETS' +'SHOW' +'SKEWED' +'SOME' +'SORT' +'SORTED' +'SOURCE' +'START' +'STATISTICS' 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1,0,0,0,3320,3323,1,0,0,0,3321,3319,1,0,0,0,3321,3322,1,0,0,0,3322, + 301,1,0,0,0,3323,3321,1,0,0,0,3324,3326,3,326,163,0,3325,3327,5, + 326,0,0,3326,3325,1,0,0,0,3326,3327,1,0,0,0,3327,3328,1,0,0,0,3328, + 3331,3,278,139,0,3329,3330,5,172,0,0,3330,3332,5,173,0,0,3331,3329, + 1,0,0,0,3331,3332,1,0,0,0,3332,3334,1,0,0,0,3333,3335,3,34,17,0, + 3334,3333,1,0,0,0,3334,3335,1,0,0,0,3335,303,1,0,0,0,3336,3337,5, + 300,0,0,3337,3338,3,236,118,0,3338,3339,5,265,0,0,3339,3340,3,236, + 118,0,3340,305,1,0,0,0,3341,3342,5,302,0,0,3342,3347,3,308,154,0, + 3343,3344,5,4,0,0,3344,3346,3,308,154,0,3345,3343,1,0,0,0,3346,3349, + 1,0,0,0,3347,3345,1,0,0,0,3347,3348,1,0,0,0,3348,307,1,0,0,0,3349, + 3347,1,0,0,0,3350,3351,3,322,161,0,3351,3352,5,20,0,0,3352,3353, + 3,310,155,0,3353,309,1,0,0,0,3354,3401,3,322,161,0,3355,3356,5,2, + 0,0,3356,3357,3,322,161,0,3357,3358,5,3,0,0,3358,3401,1,0,0,0,3359, + 3394,5,2,0,0,3360,3361,5,38,0,0,3361,3362,5,28,0,0,3362,3367,3,236, + 118,0,3363,3364,5,4,0,0,3364,3366,3,236,118,0,3365,3363,1,0,0,0, + 3366,3369,1,0,0,0,3367,3365,1,0,0,0,3367,3368,1,0,0,0,3368,3395, + 1,0,0,0,3369,3367,1,0,0,0,3370,3371,7,49,0,0,3371,3372,5,28,0,0, + 3372,3377,3,236,118,0,3373,3374,5,4,0,0,3374,3376,3,236,118,0,3375, + 3373,1,0,0,0,3376,3379,1,0,0,0,3377,3375,1,0,0,0,3377,3378,1,0,0, + 0,3378,3381,1,0,0,0,3379,3377,1,0,0,0,3380,3370,1,0,0,0,3380,3381, + 1,0,0,0,3381,3392,1,0,0,0,3382,3383,7,50,0,0,3383,3384,5,28,0,0, + 3384,3389,3,94,47,0,3385,3386,5,4,0,0,3386,3388,3,94,47,0,3387,3385, + 1,0,0,0,3388,3391,1,0,0,0,3389,3387,1,0,0,0,3389,3390,1,0,0,0,3390, + 3393,1,0,0,0,3391,3389,1,0,0,0,3392,3382,1,0,0,0,3392,3393,1,0,0, + 0,3393,3395,1,0,0,0,3394,3360,1,0,0,0,3394,3380,1,0,0,0,3395,3397, + 1,0,0,0,3396,3398,3,312,156,0,3397,3396,1,0,0,0,3397,3398,1,0,0, + 0,3398,3399,1,0,0,0,3399,3401,5,3,0,0,3400,3354,1,0,0,0,3400,3355, + 1,0,0,0,3400,3359,1,0,0,0,3401,311,1,0,0,0,3402,3403,5,206,0,0,3403, + 3419,3,314,157,0,3404,3405,5,228,0,0,3405,3419,3,314,157,0,3406, + 3407,5,206,0,0,3407,3408,5,24,0,0,3408,3409,3,314,157,0,3409,3410, + 5,14,0,0,3410,3411,3,314,157,0,3411,3419,1,0,0,0,3412,3413,5,228, + 0,0,3413,3414,5,24,0,0,3414,3415,3,314,157,0,3415,3416,5,14,0,0, + 3416,3417,3,314,157,0,3417,3419,1,0,0,0,3418,3402,1,0,0,0,3418,3404, + 1,0,0,0,3418,3406,1,0,0,0,3418,3412,1,0,0,0,3419,313,1,0,0,0,3420, + 3421,5,282,0,0,3421,3428,7,51,0,0,3422,3423,5,56,0,0,3423,3428,5, + 227,0,0,3424,3425,3,236,118,0,3425,3426,7,51,0,0,3426,3428,1,0,0, + 0,3427,3420,1,0,0,0,3427,3422,1,0,0,0,3427,3424,1,0,0,0,3428,315, + 1,0,0,0,3429,3434,3,320,160,0,3430,3431,5,4,0,0,3431,3433,3,320, + 160,0,3432,3430,1,0,0,0,3433,3436,1,0,0,0,3434,3432,1,0,0,0,3434, + 3435,1,0,0,0,3435,317,1,0,0,0,3436,3434,1,0,0,0,3437,3442,3,320, + 160,0,3438,3442,5,99,0,0,3439,3442,5,141,0,0,3440,3442,5,221,0,0, + 3441,3437,1,0,0,0,3441,3438,1,0,0,0,3441,3439,1,0,0,0,3441,3440, + 1,0,0,0,3442,319,1,0,0,0,3443,3448,3,326,163,0,3444,3445,5,5,0,0, + 3445,3447,3,326,163,0,3446,3444,1,0,0,0,3447,3450,1,0,0,0,3448,3446, + 1,0,0,0,3448,3449,1,0,0,0,3449,321,1,0,0,0,3450,3448,1,0,0,0,3451, + 3452,3,326,163,0,3452,3453,3,324,162,0,3453,323,1,0,0,0,3454,3455, + 5,317,0,0,3455,3457,3,326,163,0,3456,3454,1,0,0,0,3457,3458,1,0, + 0,0,3458,3456,1,0,0,0,3458,3459,1,0,0,0,3459,3462,1,0,0,0,3460,3462, + 1,0,0,0,3461,3456,1,0,0,0,3461,3460,1,0,0,0,3462,325,1,0,0,0,3463, + 3466,3,328,164,0,3464,3466,3,346,173,0,3465,3463,1,0,0,0,3465,3464, + 1,0,0,0,3466,327,1,0,0,0,3467,3472,5,341,0,0,3468,3472,3,330,165, + 0,3469,3472,3,344,172,0,3470,3472,3,348,174,0,3471,3467,1,0,0,0, + 3471,3468,1,0,0,0,3471,3469,1,0,0,0,3471,3470,1,0,0,0,3472,329,1, + 0,0,0,3473,3474,7,52,0,0,3474,331,1,0,0,0,3475,3476,5,342,0,0,3476, + 333,1,0,0,0,3477,3479,5,317,0,0,3478,3477,1,0,0,0,3478,3479,1,0, + 0,0,3479,3480,1,0,0,0,3480,3518,5,336,0,0,3481,3483,5,317,0,0,3482, + 3481,1,0,0,0,3482,3483,1,0,0,0,3483,3484,1,0,0,0,3484,3518,5,337, + 0,0,3485,3487,5,317,0,0,3486,3485,1,0,0,0,3486,3487,1,0,0,0,3487, + 3488,1,0,0,0,3488,3518,7,53,0,0,3489,3491,5,317,0,0,3490,3489,1, + 0,0,0,3490,3491,1,0,0,0,3491,3492,1,0,0,0,3492,3518,5,335,0,0,3493, + 3495,5,317,0,0,3494,3493,1,0,0,0,3494,3495,1,0,0,0,3495,3496,1,0, + 0,0,3496,3518,5,332,0,0,3497,3499,5,317,0,0,3498,3497,1,0,0,0,3498, + 3499,1,0,0,0,3499,3500,1,0,0,0,3500,3518,5,333,0,0,3501,3503,5,317, + 0,0,3502,3501,1,0,0,0,3502,3503,1,0,0,0,3503,3504,1,0,0,0,3504,3518, + 5,334,0,0,3505,3507,5,317,0,0,3506,3505,1,0,0,0,3506,3507,1,0,0, + 0,3507,3508,1,0,0,0,3508,3518,5,339,0,0,3509,3511,5,317,0,0,3510, + 3509,1,0,0,0,3510,3511,1,0,0,0,3511,3512,1,0,0,0,3512,3518,5,338, + 0,0,3513,3515,5,317,0,0,3514,3513,1,0,0,0,3514,3515,1,0,0,0,3515, + 3516,1,0,0,0,3516,3518,5,340,0,0,3517,3478,1,0,0,0,3517,3482,1,0, + 0,0,3517,3486,1,0,0,0,3517,3490,1,0,0,0,3517,3494,1,0,0,0,3517,3498, + 1,0,0,0,3517,3502,1,0,0,0,3517,3506,1,0,0,0,3517,3510,1,0,0,0,3517, + 3514,1,0,0,0,3518,335,1,0,0,0,3519,3520,5,280,0,0,3520,3531,3,278, + 139,0,3521,3531,3,34,17,0,3522,3531,3,276,138,0,3523,3524,7,54,0, + 0,3524,3525,5,172,0,0,3525,3531,5,173,0,0,3526,3527,5,239,0,0,3527, + 3531,3,286,143,0,3528,3529,5,82,0,0,3529,3531,5,70,0,0,3530,3519, + 1,0,0,0,3530,3521,1,0,0,0,3530,3522,1,0,0,0,3530,3523,1,0,0,0,3530, + 3526,1,0,0,0,3530,3528,1,0,0,0,3531,337,1,0,0,0,3532,3533,7,55,0, + 0,3533,339,1,0,0,0,3534,3537,3,338,169,0,3535,3537,5,173,0,0,3536, + 3534,1,0,0,0,3536,3535,1,0,0,0,3537,341,1,0,0,0,3538,3541,5,335, + 0,0,3539,3541,3,338,169,0,3540,3538,1,0,0,0,3540,3539,1,0,0,0,3541, + 343,1,0,0,0,3542,3543,7,56,0,0,3543,345,1,0,0,0,3544,3545,7,57,0, + 0,3545,347,1,0,0,0,3546,3547,7,58,0,0,3547,349,1,0,0,0,460,354,379, + 392,399,407,409,429,433,439,442,445,452,455,459,462,469,480,482, + 490,493,497,500,506,517,523,528,562,575,600,609,613,619,623,628, + 634,646,654,660,673,678,694,701,705,711,726,730,736,742,745,748, + 754,758,766,768,777,780,789,794,800,807,810,816,827,830,834,839, + 844,851,854,857,864,869,878,886,892,895,898,904,908,913,916,920, + 922,930,938,941,946,952,958,961,965,968,972,1000,1003,1007,1013, + 1016,1019,1025,1033,1038,1044,1050,1053,1060,1067,1075,1092,1106, + 1109,1115,1124,1133,1141,1146,1151,1158,1164,1169,1177,1180,1184, + 1196,1200,1207,1323,1331,1339,1348,1358,1362,1365,1371,1377,1389, + 1401,1406,1417,1424,1426,1429,1434,1438,1443,1446,1451,1460,1465, + 1468,1473,1477,1482,1484,1488,1497,1505,1511,1522,1529,1538,1542, + 1549,1552,1564,1569,1574,1579,1583,1586,1589,1592,1596,1601,1605, + 1608,1611,1614,1616,1627,1645,1647,1656,1663,1666,1673,1677,1683, + 1691,1702,1713,1721,1727,1739,1746,1753,1765,1773,1779,1785,1788, + 1797,1800,1809,1812,1821,1824,1833,1836,1839,1844,1846,1850,1857, + 1861,1867,1871,1879,1883,1886,1889,1892,1896,1902,1909,1914,1917, + 1920,1924,1934,1938,1940,1943,1947,1953,1957,1968,1978,1982,1994, + 2006,2021,2026,2032,2039,2055,2060,2073,2078,2086,2092,2096,2099, + 2102,2109,2115,2124,2134,2149,2154,2156,2160,2169,2182,2187,2191, + 2199,2202,2206,2220,2233,2238,2242,2245,2249,2255,2258,2265,2277, + 2288,2301,2312,2317,2325,2330,2337,2346,2349,2354,2361,2364,2369, + 2375,2381,2386,2390,2396,2400,2403,2408,2411,2416,2420,2423,2426, + 2432,2437,2444,2447,2465,2467,2470,2481,2490,2497,2505,2512,2516, + 2519,2527,2535,2541,2549,2561,2564,2570,2574,2576,2585,2597,2599, + 2606,2613,2619,2625,2627,2634,2642,2650,2656,2661,2668,2674,2678, + 2680,2687,2696,2703,2713,2718,2722,2731,2744,2746,2754,2756,2760, + 2768,2777,2783,2791,2796,2808,2813,2816,2822,2826,2831,2836,2841, + 2847,2868,2870,2899,2903,2912,2916,2934,2937,2945,2954,2963,2986, + 2997,3004,3007,3016,3020,3024,3036,3061,3068,3071,3086,3107,3111, + 3113,3123,3125,3140,3142,3155,3159,3166,3171,3179,3184,3193,3210, + 3214,3220,3226,3235,3239,3241,3248,3256,3264,3274,3281,3284,3291, + 3299,3307,3321,3326,3331,3334,3347,3367,3377,3380,3389,3392,3394, + 3397,3400,3418,3427,3434,3441,3448,3458,3461,3465,3471,3478,3482, + 3486,3490,3494,3498,3502,3506,3510,3514,3517,3530,3536,3540 + ] + +class SqlBaseParser ( Parser ): + + grammarFileName = "SqlBaseParser.g4" + + atn = ATNDeserializer().deserialize(serializedATN()) + + decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ] + + sharedContextCache = PredictionContextCache() + + literalNames = [ "", "';'", "'('", "')'", "','", "'.'", "'['", + "']'", "'ADD'", "'AFTER'", "'ALL'", "'ALTER'", "'ALWAYS'", + "'ANALYZE'", "'AND'", "'ANTI'", "'ANY'", "'ANY_VALUE'", + "'ARCHIVE'", "'ARRAY'", "'AS'", "'ASC'", "'AT'", "'AUTHORIZATION'", + "'BETWEEN'", "'BOTH'", "'BUCKET'", "'BUCKETS'", "'BY'", + "'CACHE'", "'CASCADE'", "'CASE'", "'CAST'", "'CATALOG'", + "'CATALOGS'", "'CHANGE'", "'CHECK'", "'CLEAR'", "'CLUSTER'", + "'CLUSTERED'", "'CODEGEN'", "'COLLATE'", "'COLLECTION'", + "'COLUMN'", "'COLUMNS'", "'COMMENT'", "'COMMIT'", "'COMPACT'", + "'COMPACTIONS'", "'COMPUTE'", "'CONCATENATE'", "'CONSTRAINT'", + "'COST'", "'CREATE'", "'CROSS'", "'CUBE'", "'CURRENT'", + "'CURRENT_DATE'", "'CURRENT_TIME'", "'CURRENT_TIMESTAMP'", + "'CURRENT_USER'", "'DAY'", "'DAYS'", "'DAYOFYEAR'", + "'DATA'", "'DATABASE'", "'DATABASES'", "'DATEADD'", + "'DATEDIFF'", "'DBPROPERTIES'", "'DEFAULT'", "'DEFINED'", + "'DELETE'", "'DELIMITED'", "'DESC'", "'DESCRIBE'", + "'DFS'", "'DIRECTORIES'", "'DIRECTORY'", "'DISTINCT'", + "'DISTRIBUTE'", "'DIV'", "'DROP'", "'ELSE'", "'END'", + "'ESCAPE'", "'ESCAPED'", "'EXCEPT'", "'EXCHANGE'", + "'EXCLUDE'", "'EXISTS'", "'EXPLAIN'", "'EXPORT'", "'EXTENDED'", + "'EXTERNAL'", "'EXTRACT'", "'FALSE'", "'FETCH'", "'FIELDS'", + "'FILTER'", "'FILEFORMAT'", "'FIRST'", "'FOLLOWING'", + "'FOR'", "'FOREIGN'", "'FORMAT'", "'FORMATTED'", "'FROM'", + "'FULL'", "'FUNCTION'", "'FUNCTIONS'", "'GENERATED'", + "'GLOBAL'", "'GRANT'", "'GROUP'", "'GROUPING'", "'HAVING'", + "'HOUR'", "'HOURS'", "'IF'", "'IGNORE'", "'IMPORT'", + "'IN'", "'INCLUDE'", "'INDEX'", "'INDEXES'", "'INNER'", + "'INPATH'", "'INPUTFORMAT'", "'INSERT'", "'INTERSECT'", + "'INTERVAL'", "'INTO'", "'IS'", "'ITEMS'", "'JOIN'", + "'KEYS'", "'LAST'", "'LATERAL'", "'LAZY'", "'LEADING'", + "'LEFT'", "'LIKE'", "'ILIKE'", "'LIMIT'", "'LINES'", + "'LIST'", "'LOAD'", "'LOCAL'", "'LOCATION'", "'LOCK'", + "'LOCKS'", "'LOGICAL'", "'MACRO'", "'MAP'", "'MATCHED'", + "'MERGE'", "'MICROSECOND'", "'MICROSECONDS'", "'MILLISECOND'", + "'MILLISECONDS'", "'MINUTE'", "'MINUTES'", "'MONTH'", + "'MONTHS'", "'MSCK'", "'NAMESPACE'", "'NAMESPACES'", + "'NANOSECOND'", "'NANOSECONDS'", "'NATURAL'", "'NO'", + "", "'NULL'", "'NULLS'", "'OF'", "'OFFSET'", + "'ON'", "'ONLY'", "'OPTION'", "'OPTIONS'", "'OR'", + "'ORDER'", "'OUT'", "'OUTER'", "'OUTPUTFORMAT'", "'OVER'", + "'OVERLAPS'", "'OVERLAY'", "'OVERWRITE'", "'PARTITION'", + "'PARTITIONED'", "'PARTITIONS'", "'PERCENTILE_CONT'", + "'PERCENTILE_DISC'", "'PERCENT'", "'PIVOT'", "'PLACING'", + "'POSITION'", "'PRECEDING'", "'PRIMARY'", "'PRINCIPALS'", + "'PROPERTIES'", "'PURGE'", "'QUARTER'", "'QUERY'", + "'RANGE'", "'RECORDREADER'", "'RECORDWRITER'", "'RECOVER'", + "'REDUCE'", "'REFERENCES'", "'REFRESH'", "'RENAME'", + "'REPAIR'", "'REPEATABLE'", "'REPLACE'", "'RESET'", + "'RESPECT'", "'RESTRICT'", "'REVOKE'", "'RIGHT'", "", + "'ROLE'", "'ROLES'", "'ROLLBACK'", "'ROLLUP'", "'ROW'", + "'ROWS'", "'SECOND'", "'SECONDS'", "'SCHEMA'", "'SCHEMAS'", + "'SELECT'", "'SEMI'", "'SEPARATED'", "'SERDE'", "'SERDEPROPERTIES'", + "'SESSION_USER'", "'SET'", "'MINUS'", "'SETS'", "'SHOW'", + "'SKEWED'", "'SOME'", "'SORT'", "'SORTED'", "'SOURCE'", + "'START'", "'STATISTICS'", "'STORED'", "'STRATIFY'", + "'STRUCT'", "'SUBSTR'", "'SUBSTRING'", "'SYNC'", "'SYSTEM_TIME'", + "'SYSTEM_VERSION'", "'TABLE'", "'TABLES'", "'TABLESAMPLE'", + "'TARGET'", "'TBLPROPERTIES'", "", "'TERMINATED'", + "'THEN'", "'TIME'", "'TIMESTAMP'", "'TIMESTAMPADD'", + "'TIMESTAMPDIFF'", "'TO'", "'TOUCH'", "'TRAILING'", + "'TRANSACTION'", "'TRANSACTIONS'", "'TRANSFORM'", "'TRIM'", + "'TRUE'", "'TRUNCATE'", "'TRY_CAST'", "'TYPE'", "'UNARCHIVE'", + "'UNBOUNDED'", "'UNCACHE'", "'UNION'", "'UNIQUE'", + "'UNKNOWN'", "'UNLOCK'", "'UNPIVOT'", "'UNSET'", "'UPDATE'", + "'USE'", "'USER'", "'USING'", "'VALUES'", "'VERSION'", + "'VIEW'", "'VIEWS'", "'WEEK'", "'WEEKS'", "'WHEN'", + "'WHERE'", "'WINDOW'", "'WITH'", "'WITHIN'", "'YEAR'", + "'YEARS'", "'ZONE'", "", "'<=>'", "'<>'", + "'!='", "'<'", "", "'>'", "", "'+'", + "'-'", "'*'", "'/'", "'%'", "'~'", "'&'", "'|'", "'||'", + "'^'", "':'", "'->'", "'/*+'", "'*/'" ] + + symbolicNames = [ "", "SEMICOLON", "LEFT_PAREN", "RIGHT_PAREN", + "COMMA", "DOT", "LEFT_BRACKET", "RIGHT_BRACKET", "ADD", + "AFTER", "ALL", "ALTER", "ALWAYS", "ANALYZE", "AND", + "ANTI", "ANY", "ANY_VALUE", "ARCHIVE", "ARRAY", "AS", + "ASC", "AT", "AUTHORIZATION", "BETWEEN", "BOTH", "BUCKET", + "BUCKETS", "BY", "CACHE", "CASCADE", "CASE", "CAST", + "CATALOG", "CATALOGS", "CHANGE", "CHECK", "CLEAR", + "CLUSTER", "CLUSTERED", "CODEGEN", "COLLATE", "COLLECTION", + "COLUMN", "COLUMNS", "COMMENT", "COMMIT", "COMPACT", + "COMPACTIONS", "COMPUTE", "CONCATENATE", "CONSTRAINT", + "COST", "CREATE", "CROSS", "CUBE", "CURRENT", "CURRENT_DATE", + "CURRENT_TIME", "CURRENT_TIMESTAMP", "CURRENT_USER", + "DAY", "DAYS", "DAYOFYEAR", "DATA", "DATABASE", "DATABASES", + "DATEADD", "DATEDIFF", "DBPROPERTIES", "DEFAULT", + "DEFINED", "DELETE", "DELIMITED", "DESC", "DESCRIBE", + "DFS", "DIRECTORIES", "DIRECTORY", "DISTINCT", "DISTRIBUTE", + "DIV", "DROP", "ELSE", "END", "ESCAPE", "ESCAPED", + "EXCEPT", "EXCHANGE", "EXCLUDE", "EXISTS", "EXPLAIN", + "EXPORT", "EXTENDED", "EXTERNAL", "EXTRACT", "FALSE", + "FETCH", "FIELDS", "FILTER", "FILEFORMAT", "FIRST", + "FOLLOWING", "FOR", "FOREIGN", "FORMAT", "FORMATTED", + "FROM", "FULL", "FUNCTION", "FUNCTIONS", "GENERATED", + "GLOBAL", "GRANT", "GROUP", "GROUPING", "HAVING", + "HOUR", "HOURS", "IF", "IGNORE", "IMPORT", "IN", "INCLUDE", + "INDEX", "INDEXES", "INNER", "INPATH", "INPUTFORMAT", + "INSERT", "INTERSECT", "INTERVAL", "INTO", "IS", "ITEMS", + "JOIN", "KEYS", "LAST", "LATERAL", "LAZY", "LEADING", + "LEFT", "LIKE", "ILIKE", "LIMIT", "LINES", "LIST", + "LOAD", "LOCAL", "LOCATION", "LOCK", "LOCKS", "LOGICAL", + "MACRO", "MAP", "MATCHED", "MERGE", "MICROSECOND", + "MICROSECONDS", "MILLISECOND", "MILLISECONDS", "MINUTE", + "MINUTES", "MONTH", "MONTHS", "MSCK", "NAMESPACE", + "NAMESPACES", "NANOSECOND", "NANOSECONDS", "NATURAL", + "NO", "NOT", "NULL", "NULLS", "OF", "OFFSET", "ON", + "ONLY", "OPTION", "OPTIONS", "OR", "ORDER", "OUT", + "OUTER", "OUTPUTFORMAT", "OVER", "OVERLAPS", "OVERLAY", + "OVERWRITE", "PARTITION", "PARTITIONED", "PARTITIONS", + "PERCENTILE_CONT", "PERCENTILE_DISC", "PERCENTLIT", + "PIVOT", "PLACING", "POSITION", "PRECEDING", "PRIMARY", + "PRINCIPALS", "PROPERTIES", "PURGE", "QUARTER", "QUERY", + "RANGE", "RECORDREADER", "RECORDWRITER", "RECOVER", + "REDUCE", "REFERENCES", "REFRESH", "RENAME", "REPAIR", + "REPEATABLE", "REPLACE", "RESET", "RESPECT", "RESTRICT", + "REVOKE", "RIGHT", "RLIKE", "ROLE", "ROLES", "ROLLBACK", + "ROLLUP", "ROW", "ROWS", "SECOND", "SECONDS", "SCHEMA", + "SCHEMAS", "SELECT", "SEMI", "SEPARATED", "SERDE", + "SERDEPROPERTIES", "SESSION_USER", "SET", "SETMINUS", + "SETS", "SHOW", "SKEWED", "SOME", "SORT", "SORTED", + "SOURCE", "START", "STATISTICS", "STORED", "STRATIFY", + "STRUCT", "SUBSTR", "SUBSTRING", "SYNC", "SYSTEM_TIME", + "SYSTEM_VERSION", "TABLE", "TABLES", "TABLESAMPLE", + "TARGET", "TBLPROPERTIES", "TEMPORARY", "TERMINATED", + "THEN", "TIME", "TIMESTAMP", "TIMESTAMPADD", "TIMESTAMPDIFF", + "TO", "TOUCH", "TRAILING", "TRANSACTION", "TRANSACTIONS", + "TRANSFORM", "TRIM", "TRUE", "TRUNCATE", "TRY_CAST", + "TYPE", "UNARCHIVE", "UNBOUNDED", "UNCACHE", "UNION", + "UNIQUE", "UNKNOWN", "UNLOCK", "UNPIVOT", "UNSET", + "UPDATE", "USE", "USER", "USING", "VALUES", "VERSION", + "VIEW", "VIEWS", "WEEK", "WEEKS", "WHEN", "WHERE", + "WINDOW", "WITH", "WITHIN", "YEAR", "YEARS", "ZONE", + "EQ", "NSEQ", "NEQ", "NEQJ", "LT", "LTE", "GT", "GTE", + "PLUS", "MINUS", "ASTERISK", "SLASH", "PERCENT", "TILDE", + "AMPERSAND", "PIPE", "CONCAT_PIPE", "HAT", "COLON", + "ARROW", "HENT_START", "HENT_END", "STRING", "DOUBLEQUOTED_STRING", + "BIGINT_LITERAL", "SMALLINT_LITERAL", "TINYINT_LITERAL", + "INTEGER_VALUE", "EXPONENT_VALUE", "DECIMAL_VALUE", + "FLOAT_LITERAL", "DOUBLE_LITERAL", "BIGDECIMAL_LITERAL", + "IDENTIFIER", "BACKQUOTED_IDENTIFIER", "SIMPLE_COMMENT", + "BRACKETED_COMMENT", "WS", "UNRECOGNIZED" ] + + RULE_singleStatement = 0 + RULE_singleExpression = 1 + RULE_singleTableIdentifier = 2 + RULE_singleMultipartIdentifier = 3 + RULE_singleFunctionIdentifier = 4 + RULE_singleDataType = 5 + RULE_singleTableSchema = 6 + RULE_statement = 7 + RULE_timezone = 8 + RULE_configKey = 9 + RULE_configValue = 10 + RULE_unsupportedHiveNativeCommands = 11 + RULE_createTableHeader = 12 + RULE_replaceTableHeader = 13 + RULE_bucketSpec = 14 + RULE_skewSpec = 15 + RULE_locationSpec = 16 + RULE_commentSpec = 17 + RULE_insertInto = 18 + RULE_partitionSpecLocation = 19 + RULE_partitionSpec = 20 + RULE_partitionVal = 21 + RULE_namespace = 22 + RULE_namespaces = 23 + RULE_describeFuncName = 24 + RULE_describeColName = 25 + RULE_ctes = 26 + RULE_query = 27 + RULE_namedQuery = 28 + RULE_queryTerm = 29 + RULE_querySpecification = 30 + RULE_queryPrimary = 31 + RULE_tableProvider = 32 + RULE_createTableClauses = 33 + RULE_propertyList = 34 + RULE_property = 35 + RULE_propertyKey = 36 + RULE_propertyValue = 37 + RULE_constantList = 38 + RULE_nestedConstantList = 39 + RULE_createFileFormat = 40 + RULE_fileFormat = 41 + RULE_storageHandler = 42 + RULE_resource = 43 + RULE_dmlStatementNoWith = 44 + RULE_queryOrganization = 45 + RULE_multiInsertQueryBody = 46 + RULE_sortItem = 47 + RULE_fromStatement = 48 + RULE_fromStatementBody = 49 + RULE_transformClause = 50 + RULE_selectClause = 51 + RULE_setClause = 52 + RULE_matchedClause = 53 + RULE_notMatchedClause = 54 + RULE_notMatchedBySourceClause = 55 + RULE_matchedAction = 56 + RULE_notMatchedAction = 57 + RULE_notMatchedBySourceAction = 58 + RULE_assignmentList = 59 + RULE_assignment = 60 + RULE_whereClause = 61 + RULE_havingClause = 62 + RULE_hint = 63 + RULE_hintStatement = 64 + RULE_fromClause = 65 + RULE_temporalClause = 66 + RULE_aggregationClause = 67 + RULE_groupByClause = 68 + RULE_groupingAnalytics = 69 + RULE_groupingElement = 70 + RULE_groupingSet = 71 + RULE_pivotClause = 72 + RULE_pivotColumn = 73 + RULE_pivotValue = 74 + RULE_unpivotClause = 75 + RULE_unpivotNullClause = 76 + RULE_unpivotOperator = 77 + RULE_unpivotSingleValueColumnClause = 78 + RULE_unpivotMultiValueColumnClause = 79 + RULE_unpivotColumnSet = 80 + RULE_unpivotValueColumn = 81 + RULE_unpivotNameColumn = 82 + RULE_unpivotColumnAndAlias = 83 + RULE_unpivotColumn = 84 + RULE_unpivotAlias = 85 + RULE_lateralView = 86 + RULE_setQuantifier = 87 + RULE_relation = 88 + RULE_relationExtension = 89 + RULE_joinRelation = 90 + RULE_joinType = 91 + RULE_joinCriteria = 92 + RULE_sample = 93 + RULE_sampleMethod = 94 + RULE_identifierList = 95 + RULE_identifierSeq = 96 + RULE_orderedIdentifierList = 97 + RULE_orderedIdentifier = 98 + RULE_identifierCommentList = 99 + RULE_identifierComment = 100 + RULE_relationPrimary = 101 + RULE_inlineTable = 102 + RULE_functionTable = 103 + RULE_tableAlias = 104 + RULE_rowFormat = 105 + RULE_multipartIdentifierList = 106 + RULE_multipartIdentifier = 107 + RULE_multipartIdentifierPropertyList = 108 + RULE_multipartIdentifierProperty = 109 + RULE_tableIdentifier = 110 + RULE_functionIdentifier = 111 + RULE_namedExpression = 112 + RULE_namedExpressionSeq = 113 + RULE_partitionFieldList = 114 + RULE_partitionField = 115 + RULE_transform = 116 + RULE_transformArgument = 117 + RULE_expression = 118 + RULE_expressionSeq = 119 + RULE_booleanExpression = 120 + RULE_predicate = 121 + RULE_valueExpression = 122 + RULE_datetimeUnit = 123 + RULE_primaryExpression = 124 + RULE_constant = 125 + RULE_comparisonOperator = 126 + RULE_arithmeticOperator = 127 + RULE_predicateOperator = 128 + RULE_booleanValue = 129 + RULE_interval = 130 + RULE_errorCapturingMultiUnitsInterval = 131 + RULE_multiUnitsInterval = 132 + RULE_errorCapturingUnitToUnitInterval = 133 + RULE_unitToUnitInterval = 134 + RULE_intervalValue = 135 + RULE_unitInMultiUnits = 136 + RULE_unitInUnitToUnit = 137 + RULE_colPosition = 138 + RULE_dataType = 139 + RULE_qualifiedColTypeWithPositionList = 140 + RULE_qualifiedColTypeWithPosition = 141 + RULE_colDefinitionDescriptorWithPosition = 142 + RULE_defaultExpression = 143 + RULE_colTypeList = 144 + RULE_colType = 145 + RULE_createOrReplaceTableColTypeList = 146 + RULE_createOrReplaceTableColType = 147 + RULE_colDefinitionOption = 148 + RULE_generationExpression = 149 + RULE_complexColTypeList = 150 + RULE_complexColType = 151 + RULE_whenClause = 152 + RULE_windowClause = 153 + RULE_namedWindow = 154 + RULE_windowSpec = 155 + RULE_windowFrame = 156 + RULE_frameBound = 157 + RULE_qualifiedNameList = 158 + RULE_functionName = 159 + RULE_qualifiedName = 160 + RULE_errorCapturingIdentifier = 161 + RULE_errorCapturingIdentifierExtra = 162 + RULE_identifier = 163 + RULE_strictIdentifier = 164 + RULE_quotedIdentifier = 165 + RULE_backQuotedIdentifier = 166 + RULE_number = 167 + RULE_alterColumnAction = 168 + RULE_stringLit = 169 + RULE_comment = 170 + RULE_version = 171 + RULE_ansiNonReserved = 172 + RULE_strictNonReserved = 173 + RULE_nonReserved = 174 + + ruleNames = [ "singleStatement", "singleExpression", "singleTableIdentifier", + "singleMultipartIdentifier", "singleFunctionIdentifier", + "singleDataType", "singleTableSchema", "statement", "timezone", + "configKey", "configValue", "unsupportedHiveNativeCommands", + "createTableHeader", "replaceTableHeader", "bucketSpec", + "skewSpec", "locationSpec", "commentSpec", "insertInto", + "partitionSpecLocation", "partitionSpec", "partitionVal", + "namespace", "namespaces", "describeFuncName", "describeColName", + "ctes", "query", "namedQuery", "queryTerm", "querySpecification", + "queryPrimary", "tableProvider", "createTableClauses", + "propertyList", "property", "propertyKey", "propertyValue", + "constantList", "nestedConstantList", "createFileFormat", + "fileFormat", "storageHandler", "resource", "dmlStatementNoWith", + "queryOrganization", "multiInsertQueryBody", "sortItem", + "fromStatement", "fromStatementBody", "transformClause", + "selectClause", "setClause", "matchedClause", "notMatchedClause", + "notMatchedBySourceClause", "matchedAction", "notMatchedAction", + "notMatchedBySourceAction", "assignmentList", "assignment", + "whereClause", "havingClause", "hint", "hintStatement", + "fromClause", "temporalClause", "aggregationClause", + "groupByClause", "groupingAnalytics", "groupingElement", + "groupingSet", "pivotClause", "pivotColumn", "pivotValue", + "unpivotClause", "unpivotNullClause", "unpivotOperator", + "unpivotSingleValueColumnClause", "unpivotMultiValueColumnClause", + "unpivotColumnSet", "unpivotValueColumn", "unpivotNameColumn", + "unpivotColumnAndAlias", "unpivotColumn", "unpivotAlias", + "lateralView", "setQuantifier", "relation", "relationExtension", + "joinRelation", "joinType", "joinCriteria", "sample", + "sampleMethod", "identifierList", "identifierSeq", "orderedIdentifierList", + "orderedIdentifier", "identifierCommentList", "identifierComment", + "relationPrimary", "inlineTable", "functionTable", "tableAlias", + "rowFormat", "multipartIdentifierList", "multipartIdentifier", + "multipartIdentifierPropertyList", "multipartIdentifierProperty", + "tableIdentifier", "functionIdentifier", "namedExpression", + "namedExpressionSeq", "partitionFieldList", "partitionField", + "transform", "transformArgument", "expression", "expressionSeq", + "booleanExpression", "predicate", "valueExpression", + "datetimeUnit", "primaryExpression", "constant", "comparisonOperator", + "arithmeticOperator", "predicateOperator", "booleanValue", + "interval", "errorCapturingMultiUnitsInterval", "multiUnitsInterval", + "errorCapturingUnitToUnitInterval", "unitToUnitInterval", + "intervalValue", "unitInMultiUnits", "unitInUnitToUnit", + "colPosition", "dataType", "qualifiedColTypeWithPositionList", + "qualifiedColTypeWithPosition", "colDefinitionDescriptorWithPosition", + "defaultExpression", "colTypeList", "colType", "createOrReplaceTableColTypeList", + "createOrReplaceTableColType", "colDefinitionOption", + "generationExpression", "complexColTypeList", "complexColType", + "whenClause", "windowClause", "namedWindow", "windowSpec", + "windowFrame", "frameBound", "qualifiedNameList", "functionName", + "qualifiedName", "errorCapturingIdentifier", "errorCapturingIdentifierExtra", + "identifier", "strictIdentifier", "quotedIdentifier", + "backQuotedIdentifier", "number", "alterColumnAction", + "stringLit", "comment", "version", "ansiNonReserved", + "strictNonReserved", "nonReserved" ] + + EOF = Token.EOF + SEMICOLON=1 + LEFT_PAREN=2 + RIGHT_PAREN=3 + COMMA=4 + DOT=5 + LEFT_BRACKET=6 + RIGHT_BRACKET=7 + ADD=8 + AFTER=9 + ALL=10 + ALTER=11 + ALWAYS=12 + ANALYZE=13 + AND=14 + ANTI=15 + ANY=16 + ANY_VALUE=17 + ARCHIVE=18 + ARRAY=19 + AS=20 + ASC=21 + AT=22 + AUTHORIZATION=23 + BETWEEN=24 + BOTH=25 + BUCKET=26 + BUCKETS=27 + BY=28 + CACHE=29 + CASCADE=30 + CASE=31 + CAST=32 + CATALOG=33 + CATALOGS=34 + CHANGE=35 + CHECK=36 + CLEAR=37 + CLUSTER=38 + CLUSTERED=39 + CODEGEN=40 + COLLATE=41 + COLLECTION=42 + COLUMN=43 + COLUMNS=44 + COMMENT=45 + COMMIT=46 + COMPACT=47 + COMPACTIONS=48 + COMPUTE=49 + CONCATENATE=50 + CONSTRAINT=51 + COST=52 + CREATE=53 + CROSS=54 + CUBE=55 + CURRENT=56 + CURRENT_DATE=57 + CURRENT_TIME=58 + CURRENT_TIMESTAMP=59 + CURRENT_USER=60 + DAY=61 + DAYS=62 + DAYOFYEAR=63 + DATA=64 + DATABASE=65 + DATABASES=66 + DATEADD=67 + DATEDIFF=68 + DBPROPERTIES=69 + DEFAULT=70 + DEFINED=71 + DELETE=72 + DELIMITED=73 + DESC=74 + DESCRIBE=75 + DFS=76 + DIRECTORIES=77 + DIRECTORY=78 + DISTINCT=79 + DISTRIBUTE=80 + DIV=81 + DROP=82 + ELSE=83 + END=84 + ESCAPE=85 + ESCAPED=86 + EXCEPT=87 + EXCHANGE=88 + EXCLUDE=89 + EXISTS=90 + EXPLAIN=91 + EXPORT=92 + EXTENDED=93 + EXTERNAL=94 + EXTRACT=95 + FALSE=96 + FETCH=97 + FIELDS=98 + FILTER=99 + FILEFORMAT=100 + FIRST=101 + FOLLOWING=102 + FOR=103 + FOREIGN=104 + FORMAT=105 + FORMATTED=106 + FROM=107 + FULL=108 + FUNCTION=109 + FUNCTIONS=110 + GENERATED=111 + GLOBAL=112 + GRANT=113 + GROUP=114 + GROUPING=115 + HAVING=116 + HOUR=117 + HOURS=118 + IF=119 + IGNORE=120 + IMPORT=121 + IN=122 + INCLUDE=123 + INDEX=124 + INDEXES=125 + INNER=126 + INPATH=127 + INPUTFORMAT=128 + INSERT=129 + INTERSECT=130 + INTERVAL=131 + INTO=132 + IS=133 + ITEMS=134 + JOIN=135 + KEYS=136 + LAST=137 + LATERAL=138 + LAZY=139 + LEADING=140 + LEFT=141 + LIKE=142 + ILIKE=143 + LIMIT=144 + LINES=145 + LIST=146 + LOAD=147 + LOCAL=148 + LOCATION=149 + LOCK=150 + LOCKS=151 + LOGICAL=152 + MACRO=153 + MAP=154 + MATCHED=155 + MERGE=156 + MICROSECOND=157 + MICROSECONDS=158 + MILLISECOND=159 + MILLISECONDS=160 + MINUTE=161 + MINUTES=162 + MONTH=163 + MONTHS=164 + MSCK=165 + NAMESPACE=166 + NAMESPACES=167 + NANOSECOND=168 + NANOSECONDS=169 + NATURAL=170 + NO=171 + NOT=172 + NULL=173 + NULLS=174 + OF=175 + OFFSET=176 + ON=177 + ONLY=178 + OPTION=179 + OPTIONS=180 + OR=181 + ORDER=182 + OUT=183 + OUTER=184 + OUTPUTFORMAT=185 + OVER=186 + OVERLAPS=187 + OVERLAY=188 + OVERWRITE=189 + PARTITION=190 + PARTITIONED=191 + PARTITIONS=192 + PERCENTILE_CONT=193 + PERCENTILE_DISC=194 + PERCENTLIT=195 + PIVOT=196 + PLACING=197 + POSITION=198 + PRECEDING=199 + PRIMARY=200 + PRINCIPALS=201 + PROPERTIES=202 + PURGE=203 + QUARTER=204 + QUERY=205 + RANGE=206 + RECORDREADER=207 + RECORDWRITER=208 + RECOVER=209 + REDUCE=210 + REFERENCES=211 + REFRESH=212 + RENAME=213 + REPAIR=214 + REPEATABLE=215 + REPLACE=216 + RESET=217 + RESPECT=218 + RESTRICT=219 + REVOKE=220 + RIGHT=221 + RLIKE=222 + ROLE=223 + ROLES=224 + ROLLBACK=225 + ROLLUP=226 + ROW=227 + ROWS=228 + SECOND=229 + SECONDS=230 + SCHEMA=231 + SCHEMAS=232 + SELECT=233 + SEMI=234 + SEPARATED=235 + SERDE=236 + SERDEPROPERTIES=237 + SESSION_USER=238 + SET=239 + SETMINUS=240 + SETS=241 + SHOW=242 + SKEWED=243 + SOME=244 + SORT=245 + SORTED=246 + SOURCE=247 + START=248 + STATISTICS=249 + STORED=250 + STRATIFY=251 + STRUCT=252 + SUBSTR=253 + SUBSTRING=254 + SYNC=255 + SYSTEM_TIME=256 + SYSTEM_VERSION=257 + TABLE=258 + TABLES=259 + TABLESAMPLE=260 + TARGET=261 + TBLPROPERTIES=262 + TEMPORARY=263 + TERMINATED=264 + THEN=265 + TIME=266 + TIMESTAMP=267 + TIMESTAMPADD=268 + TIMESTAMPDIFF=269 + TO=270 + TOUCH=271 + TRAILING=272 + TRANSACTION=273 + TRANSACTIONS=274 + TRANSFORM=275 + TRIM=276 + TRUE=277 + TRUNCATE=278 + TRY_CAST=279 + TYPE=280 + UNARCHIVE=281 + UNBOUNDED=282 + UNCACHE=283 + UNION=284 + UNIQUE=285 + UNKNOWN=286 + UNLOCK=287 + UNPIVOT=288 + UNSET=289 + UPDATE=290 + USE=291 + USER=292 + USING=293 + VALUES=294 + VERSION=295 + VIEW=296 + VIEWS=297 + WEEK=298 + WEEKS=299 + WHEN=300 + WHERE=301 + WINDOW=302 + WITH=303 + WITHIN=304 + YEAR=305 + YEARS=306 + ZONE=307 + EQ=308 + NSEQ=309 + NEQ=310 + NEQJ=311 + LT=312 + LTE=313 + GT=314 + GTE=315 + PLUS=316 + MINUS=317 + ASTERISK=318 + SLASH=319 + PERCENT=320 + TILDE=321 + AMPERSAND=322 + PIPE=323 + CONCAT_PIPE=324 + HAT=325 + COLON=326 + ARROW=327 + HENT_START=328 + HENT_END=329 + STRING=330 + DOUBLEQUOTED_STRING=331 + BIGINT_LITERAL=332 + SMALLINT_LITERAL=333 + TINYINT_LITERAL=334 + INTEGER_VALUE=335 + EXPONENT_VALUE=336 + DECIMAL_VALUE=337 + FLOAT_LITERAL=338 + DOUBLE_LITERAL=339 + BIGDECIMAL_LITERAL=340 + IDENTIFIER=341 + BACKQUOTED_IDENTIFIER=342 + SIMPLE_COMMENT=343 + BRACKETED_COMMENT=344 + WS=345 + UNRECOGNIZED=346 + + def __init__(self, input:TokenStream, output:TextIO = sys.stdout): + super().__init__(input, output) + self.checkVersion("4.13.1") + self._interp = ParserATNSimulator(self, self.atn, self.decisionsToDFA, self.sharedContextCache) + self._predicates = None + + + + + class SingleStatementContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def statement(self): + return self.getTypedRuleContext(SqlBaseParser.StatementContext,0) + + + def EOF(self): + return self.getToken(SqlBaseParser.EOF, 0) + + def SEMICOLON(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.SEMICOLON) + else: + return self.getToken(SqlBaseParser.SEMICOLON, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_singleStatement + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSingleStatement" ): + listener.enterSingleStatement(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSingleStatement" ): + listener.exitSingleStatement(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSingleStatement" ): + return visitor.visitSingleStatement(self) + else: + return visitor.visitChildren(self) + + + + + def singleStatement(self): + + localctx = SqlBaseParser.SingleStatementContext(self, self._ctx, self.state) + self.enterRule(localctx, 0, self.RULE_singleStatement) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 350 + self.statement() + self.state = 354 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==1: + self.state = 351 + self.match(SqlBaseParser.SEMICOLON) + self.state = 356 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 357 + self.match(SqlBaseParser.EOF) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SingleExpressionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def namedExpression(self): + return self.getTypedRuleContext(SqlBaseParser.NamedExpressionContext,0) + + + def EOF(self): + return self.getToken(SqlBaseParser.EOF, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_singleExpression + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSingleExpression" ): + listener.enterSingleExpression(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSingleExpression" ): + listener.exitSingleExpression(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSingleExpression" ): + return visitor.visitSingleExpression(self) + else: + return visitor.visitChildren(self) + + + + + def singleExpression(self): + + localctx = SqlBaseParser.SingleExpressionContext(self, self._ctx, self.state) + self.enterRule(localctx, 2, self.RULE_singleExpression) + try: + self.enterOuterAlt(localctx, 1) + self.state = 359 + self.namedExpression() + self.state = 360 + self.match(SqlBaseParser.EOF) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SingleTableIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def tableIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.TableIdentifierContext,0) + + + def EOF(self): + return self.getToken(SqlBaseParser.EOF, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_singleTableIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSingleTableIdentifier" ): + listener.enterSingleTableIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSingleTableIdentifier" ): + listener.exitSingleTableIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSingleTableIdentifier" ): + return visitor.visitSingleTableIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def singleTableIdentifier(self): + + localctx = SqlBaseParser.SingleTableIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 4, self.RULE_singleTableIdentifier) + try: + self.enterOuterAlt(localctx, 1) + self.state = 362 + self.tableIdentifier() + self.state = 363 + self.match(SqlBaseParser.EOF) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SingleMultipartIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def EOF(self): + return self.getToken(SqlBaseParser.EOF, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_singleMultipartIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSingleMultipartIdentifier" ): + listener.enterSingleMultipartIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSingleMultipartIdentifier" ): + listener.exitSingleMultipartIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSingleMultipartIdentifier" ): + return visitor.visitSingleMultipartIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def singleMultipartIdentifier(self): + + localctx = SqlBaseParser.SingleMultipartIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 6, self.RULE_singleMultipartIdentifier) + try: + self.enterOuterAlt(localctx, 1) + self.state = 365 + self.multipartIdentifier() + self.state = 366 + self.match(SqlBaseParser.EOF) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SingleFunctionIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def functionIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.FunctionIdentifierContext,0) + + + def EOF(self): + return self.getToken(SqlBaseParser.EOF, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_singleFunctionIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSingleFunctionIdentifier" ): + listener.enterSingleFunctionIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSingleFunctionIdentifier" ): + listener.exitSingleFunctionIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSingleFunctionIdentifier" ): + return visitor.visitSingleFunctionIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def singleFunctionIdentifier(self): + + localctx = SqlBaseParser.SingleFunctionIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 8, self.RULE_singleFunctionIdentifier) + try: + self.enterOuterAlt(localctx, 1) + self.state = 368 + self.functionIdentifier() + self.state = 369 + self.match(SqlBaseParser.EOF) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SingleDataTypeContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def dataType(self): + return self.getTypedRuleContext(SqlBaseParser.DataTypeContext,0) + + + def EOF(self): + return self.getToken(SqlBaseParser.EOF, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_singleDataType + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSingleDataType" ): + listener.enterSingleDataType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSingleDataType" ): + listener.exitSingleDataType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSingleDataType" ): + return visitor.visitSingleDataType(self) + else: + return visitor.visitChildren(self) + + + + + def singleDataType(self): + + localctx = SqlBaseParser.SingleDataTypeContext(self, self._ctx, self.state) + self.enterRule(localctx, 10, self.RULE_singleDataType) + try: + self.enterOuterAlt(localctx, 1) + self.state = 371 + self.dataType() + self.state = 372 + self.match(SqlBaseParser.EOF) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SingleTableSchemaContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def colTypeList(self): + return self.getTypedRuleContext(SqlBaseParser.ColTypeListContext,0) + + + def EOF(self): + return self.getToken(SqlBaseParser.EOF, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_singleTableSchema + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSingleTableSchema" ): + listener.enterSingleTableSchema(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSingleTableSchema" ): + listener.exitSingleTableSchema(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSingleTableSchema" ): + return visitor.visitSingleTableSchema(self) + else: + return visitor.visitChildren(self) + + + + + def singleTableSchema(self): + + localctx = SqlBaseParser.SingleTableSchemaContext(self, self._ctx, self.state) + self.enterRule(localctx, 12, self.RULE_singleTableSchema) + try: + self.enterOuterAlt(localctx, 1) + self.state = 374 + self.colTypeList() + self.state = 375 + self.match(SqlBaseParser.EOF) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class StatementContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_statement + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class ExplainContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def EXPLAIN(self): + return self.getToken(SqlBaseParser.EXPLAIN, 0) + def statement(self): + return self.getTypedRuleContext(SqlBaseParser.StatementContext,0) + + def LOGICAL(self): + return self.getToken(SqlBaseParser.LOGICAL, 0) + def FORMATTED(self): + return self.getToken(SqlBaseParser.FORMATTED, 0) + def EXTENDED(self): + return self.getToken(SqlBaseParser.EXTENDED, 0) + def CODEGEN(self): + return self.getToken(SqlBaseParser.CODEGEN, 0) + def COST(self): + return self.getToken(SqlBaseParser.COST, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterExplain" ): + listener.enterExplain(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitExplain" ): + listener.exitExplain(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitExplain" ): + return visitor.visitExplain(self) + else: + return visitor.visitChildren(self) + + + class ResetConfigurationContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def RESET(self): + return self.getToken(SqlBaseParser.RESET, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterResetConfiguration" ): + listener.enterResetConfiguration(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitResetConfiguration" ): + listener.exitResetConfiguration(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitResetConfiguration" ): + return visitor.visitResetConfiguration(self) + else: + return visitor.visitChildren(self) + + + class AlterViewQueryContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAlterViewQuery" ): + listener.enterAlterViewQuery(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAlterViewQuery" ): + listener.exitAlterViewQuery(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAlterViewQuery" ): + return visitor.visitAlterViewQuery(self) + else: + return visitor.visitChildren(self) + + + class UseContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def USE(self): + return self.getToken(SqlBaseParser.USE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUse" ): + listener.enterUse(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUse" ): + listener.exitUse(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUse" ): + return visitor.visitUse(self) + else: + return visitor.visitChildren(self) + + + class DropNamespaceContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + def namespace(self): + return self.getTypedRuleContext(SqlBaseParser.NamespaceContext,0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def RESTRICT(self): + return self.getToken(SqlBaseParser.RESTRICT, 0) + def CASCADE(self): + return self.getToken(SqlBaseParser.CASCADE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDropNamespace" ): + listener.enterDropNamespace(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDropNamespace" ): + listener.exitDropNamespace(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDropNamespace" ): + return visitor.visitDropNamespace(self) + else: + return visitor.visitChildren(self) + + + class CreateTempViewUsingContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + def TEMPORARY(self): + return self.getToken(SqlBaseParser.TEMPORARY, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + def tableIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.TableIdentifierContext,0) + + def tableProvider(self): + return self.getTypedRuleContext(SqlBaseParser.TableProviderContext,0) + + def OR(self): + return self.getToken(SqlBaseParser.OR, 0) + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + def GLOBAL(self): + return self.getToken(SqlBaseParser.GLOBAL, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def colTypeList(self): + return self.getTypedRuleContext(SqlBaseParser.ColTypeListContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def OPTIONS(self): + return self.getToken(SqlBaseParser.OPTIONS, 0) + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateTempViewUsing" ): + listener.enterCreateTempViewUsing(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateTempViewUsing" ): + listener.exitCreateTempViewUsing(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateTempViewUsing" ): + return visitor.visitCreateTempViewUsing(self) + else: + return visitor.visitChildren(self) + + + class RenameTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.from_ = None # MultipartIdentifierContext + self.to = None # MultipartIdentifierContext + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def RENAME(self): + return self.getToken(SqlBaseParser.RENAME, 0) + def TO(self): + return self.getToken(SqlBaseParser.TO, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + def multipartIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRenameTable" ): + listener.enterRenameTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRenameTable" ): + listener.exitRenameTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRenameTable" ): + return visitor.visitRenameTable(self) + else: + return visitor.visitChildren(self) + + + class FailNativeCommandContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def ROLE(self): + return self.getToken(SqlBaseParser.ROLE, 0) + def unsupportedHiveNativeCommands(self): + return self.getTypedRuleContext(SqlBaseParser.UnsupportedHiveNativeCommandsContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFailNativeCommand" ): + listener.enterFailNativeCommand(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFailNativeCommand" ): + listener.exitFailNativeCommand(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFailNativeCommand" ): + return visitor.visitFailNativeCommand(self) + else: + return visitor.visitChildren(self) + + + class SetCatalogContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def CATALOG(self): + return self.getToken(SqlBaseParser.CATALOG, 0) + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetCatalog" ): + listener.enterSetCatalog(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetCatalog" ): + listener.exitSetCatalog(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetCatalog" ): + return visitor.visitSetCatalog(self) + else: + return visitor.visitChildren(self) + + + class ClearCacheContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def CLEAR(self): + return self.getToken(SqlBaseParser.CLEAR, 0) + def CACHE(self): + return self.getToken(SqlBaseParser.CACHE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterClearCache" ): + listener.enterClearCache(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitClearCache" ): + listener.exitClearCache(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitClearCache" ): + return visitor.visitClearCache(self) + else: + return visitor.visitChildren(self) + + + class DropViewContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDropView" ): + listener.enterDropView(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDropView" ): + listener.exitDropView(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDropView" ): + return visitor.visitDropView(self) + else: + return visitor.visitChildren(self) + + + class ShowTablesContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.pattern = None # StringLitContext + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def TABLES(self): + return self.getToken(SqlBaseParser.TABLES, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowTables" ): + listener.enterShowTables(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowTables" ): + listener.exitShowTables(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowTables" ): + return visitor.visitShowTables(self) + else: + return visitor.visitChildren(self) + + + class RecoverPartitionsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def RECOVER(self): + return self.getToken(SqlBaseParser.RECOVER, 0) + def PARTITIONS(self): + return self.getToken(SqlBaseParser.PARTITIONS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRecoverPartitions" ): + listener.enterRecoverPartitions(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRecoverPartitions" ): + listener.exitRecoverPartitions(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRecoverPartitions" ): + return visitor.visitRecoverPartitions(self) + else: + return visitor.visitChildren(self) + + + class DropIndexContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + def INDEX(self): + return self.getToken(SqlBaseParser.INDEX, 0) + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDropIndex" ): + listener.enterDropIndex(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDropIndex" ): + listener.exitDropIndex(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDropIndex" ): + return visitor.visitDropIndex(self) + else: + return visitor.visitChildren(self) + + + class ShowCatalogsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.pattern = None # StringLitContext + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def CATALOGS(self): + return self.getToken(SqlBaseParser.CATALOGS, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowCatalogs" ): + listener.enterShowCatalogs(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowCatalogs" ): + listener.exitShowCatalogs(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowCatalogs" ): + return visitor.visitShowCatalogs(self) + else: + return visitor.visitChildren(self) + + + class ShowCurrentNamespaceContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def CURRENT(self): + return self.getToken(SqlBaseParser.CURRENT, 0) + def namespace(self): + return self.getTypedRuleContext(SqlBaseParser.NamespaceContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowCurrentNamespace" ): + listener.enterShowCurrentNamespace(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowCurrentNamespace" ): + listener.exitShowCurrentNamespace(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowCurrentNamespace" ): + return visitor.visitShowCurrentNamespace(self) + else: + return visitor.visitChildren(self) + + + class RenameTablePartitionContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.from_ = None # PartitionSpecContext + self.to = None # PartitionSpecContext + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def RENAME(self): + return self.getToken(SqlBaseParser.RENAME, 0) + def TO(self): + return self.getToken(SqlBaseParser.TO, 0) + def partitionSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PartitionSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRenameTablePartition" ): + listener.enterRenameTablePartition(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRenameTablePartition" ): + listener.exitRenameTablePartition(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRenameTablePartition" ): + return visitor.visitRenameTablePartition(self) + else: + return visitor.visitChildren(self) + + + class RepairTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.option = None # Token + self.copyFrom(ctx) + + def REPAIR(self): + return self.getToken(SqlBaseParser.REPAIR, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def MSCK(self): + return self.getToken(SqlBaseParser.MSCK, 0) + def PARTITIONS(self): + return self.getToken(SqlBaseParser.PARTITIONS, 0) + def ADD(self): + return self.getToken(SqlBaseParser.ADD, 0) + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + def SYNC(self): + return self.getToken(SqlBaseParser.SYNC, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRepairTable" ): + listener.enterRepairTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRepairTable" ): + listener.exitRepairTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRepairTable" ): + return visitor.visitRepairTable(self) + else: + return visitor.visitChildren(self) + + + class RefreshResourceContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def REFRESH(self): + return self.getToken(SqlBaseParser.REFRESH, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRefreshResource" ): + listener.enterRefreshResource(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRefreshResource" ): + listener.exitRefreshResource(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRefreshResource" ): + return visitor.visitRefreshResource(self) + else: + return visitor.visitChildren(self) + + + class ShowCreateTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + def SERDE(self): + return self.getToken(SqlBaseParser.SERDE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowCreateTable" ): + listener.enterShowCreateTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowCreateTable" ): + listener.exitShowCreateTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowCreateTable" ): + return visitor.visitShowCreateTable(self) + else: + return visitor.visitChildren(self) + + + class ShowNamespacesContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.pattern = None # StringLitContext + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def namespaces(self): + return self.getTypedRuleContext(SqlBaseParser.NamespacesContext,0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowNamespaces" ): + listener.enterShowNamespaces(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowNamespaces" ): + listener.exitShowNamespaces(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowNamespaces" ): + return visitor.visitShowNamespaces(self) + else: + return visitor.visitChildren(self) + + + class ShowColumnsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.table = None # MultipartIdentifierContext + self.ns = None # MultipartIdentifierContext + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def COLUMNS(self): + return self.getToken(SqlBaseParser.COLUMNS, 0) + def FROM(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.FROM) + else: + return self.getToken(SqlBaseParser.FROM, i) + def IN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.IN) + else: + return self.getToken(SqlBaseParser.IN, i) + def multipartIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowColumns" ): + listener.enterShowColumns(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowColumns" ): + listener.exitShowColumns(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowColumns" ): + return visitor.visitShowColumns(self) + else: + return visitor.visitChildren(self) + + + class ReplaceTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def replaceTableHeader(self): + return self.getTypedRuleContext(SqlBaseParser.ReplaceTableHeaderContext,0) + + def createTableClauses(self): + return self.getTypedRuleContext(SqlBaseParser.CreateTableClausesContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def createOrReplaceTableColTypeList(self): + return self.getTypedRuleContext(SqlBaseParser.CreateOrReplaceTableColTypeListContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def tableProvider(self): + return self.getTypedRuleContext(SqlBaseParser.TableProviderContext,0) + + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterReplaceTable" ): + listener.enterReplaceTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitReplaceTable" ): + listener.exitReplaceTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitReplaceTable" ): + return visitor.visitReplaceTable(self) + else: + return visitor.visitChildren(self) + + + class AnalyzeTablesContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ANALYZE(self): + return self.getToken(SqlBaseParser.ANALYZE, 0) + def TABLES(self): + return self.getToken(SqlBaseParser.TABLES, 0) + def COMPUTE(self): + return self.getToken(SqlBaseParser.COMPUTE, 0) + def STATISTICS(self): + return self.getToken(SqlBaseParser.STATISTICS, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAnalyzeTables" ): + listener.enterAnalyzeTables(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAnalyzeTables" ): + listener.exitAnalyzeTables(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAnalyzeTables" ): + return visitor.visitAnalyzeTables(self) + else: + return visitor.visitChildren(self) + + + class AddTablePartitionContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def ADD(self): + return self.getToken(SqlBaseParser.ADD, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def partitionSpecLocation(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PartitionSpecLocationContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecLocationContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAddTablePartition" ): + listener.enterAddTablePartition(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAddTablePartition" ): + listener.exitAddTablePartition(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAddTablePartition" ): + return visitor.visitAddTablePartition(self) + else: + return visitor.visitChildren(self) + + + class SetNamespaceLocationContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def namespace(self): + return self.getTypedRuleContext(SqlBaseParser.NamespaceContext,0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def locationSpec(self): + return self.getTypedRuleContext(SqlBaseParser.LocationSpecContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetNamespaceLocation" ): + listener.enterSetNamespaceLocation(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetNamespaceLocation" ): + listener.exitSetNamespaceLocation(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetNamespaceLocation" ): + return visitor.visitSetNamespaceLocation(self) + else: + return visitor.visitChildren(self) + + + class RefreshTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def REFRESH(self): + return self.getToken(SqlBaseParser.REFRESH, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRefreshTable" ): + listener.enterRefreshTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRefreshTable" ): + listener.exitRefreshTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRefreshTable" ): + return visitor.visitRefreshTable(self) + else: + return visitor.visitChildren(self) + + + class SetNamespacePropertiesContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def namespace(self): + return self.getTypedRuleContext(SqlBaseParser.NamespaceContext,0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + def DBPROPERTIES(self): + return self.getToken(SqlBaseParser.DBPROPERTIES, 0) + def PROPERTIES(self): + return self.getToken(SqlBaseParser.PROPERTIES, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetNamespaceProperties" ): + listener.enterSetNamespaceProperties(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetNamespaceProperties" ): + listener.exitSetNamespaceProperties(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetNamespaceProperties" ): + return visitor.visitSetNamespaceProperties(self) + else: + return visitor.visitChildren(self) + + + class ManageResourceContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.op = None # Token + self.copyFrom(ctx) + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def ADD(self): + return self.getToken(SqlBaseParser.ADD, 0) + def LIST(self): + return self.getToken(SqlBaseParser.LIST, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterManageResource" ): + listener.enterManageResource(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitManageResource" ): + listener.exitManageResource(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitManageResource" ): + return visitor.visitManageResource(self) + else: + return visitor.visitChildren(self) + + + class SetQuotedConfigurationContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def configKey(self): + return self.getTypedRuleContext(SqlBaseParser.ConfigKeyContext,0) + + def EQ(self): + return self.getToken(SqlBaseParser.EQ, 0) + def configValue(self): + return self.getTypedRuleContext(SqlBaseParser.ConfigValueContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetQuotedConfiguration" ): + listener.enterSetQuotedConfiguration(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetQuotedConfiguration" ): + listener.exitSetQuotedConfiguration(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetQuotedConfiguration" ): + return visitor.visitSetQuotedConfiguration(self) + else: + return visitor.visitChildren(self) + + + class AnalyzeContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ANALYZE(self): + return self.getToken(SqlBaseParser.ANALYZE, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def COMPUTE(self): + return self.getToken(SqlBaseParser.COMPUTE, 0) + def STATISTICS(self): + return self.getToken(SqlBaseParser.STATISTICS, 0) + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def FOR(self): + return self.getToken(SqlBaseParser.FOR, 0) + def COLUMNS(self): + return self.getToken(SqlBaseParser.COLUMNS, 0) + def identifierSeq(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierSeqContext,0) + + def ALL(self): + return self.getToken(SqlBaseParser.ALL, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAnalyze" ): + listener.enterAnalyze(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAnalyze" ): + listener.exitAnalyze(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAnalyze" ): + return visitor.visitAnalyze(self) + else: + return visitor.visitChildren(self) + + + class CreateFunctionContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.className = None # StringLitContext + self.copyFrom(ctx) + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + def FUNCTION(self): + return self.getToken(SqlBaseParser.FUNCTION, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def OR(self): + return self.getToken(SqlBaseParser.OR, 0) + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + def TEMPORARY(self): + return self.getToken(SqlBaseParser.TEMPORARY, 0) + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def USING(self): + return self.getToken(SqlBaseParser.USING, 0) + def resource(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ResourceContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ResourceContext,i) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateFunction" ): + listener.enterCreateFunction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateFunction" ): + listener.exitCreateFunction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateFunction" ): + return visitor.visitCreateFunction(self) + else: + return visitor.visitChildren(self) + + + class HiveReplaceColumnsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.table = None # MultipartIdentifierContext + self.columns = None # QualifiedColTypeWithPositionListContext + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + def COLUMNS(self): + return self.getToken(SqlBaseParser.COLUMNS, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def qualifiedColTypeWithPositionList(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedColTypeWithPositionListContext,0) + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterHiveReplaceColumns" ): + listener.enterHiveReplaceColumns(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitHiveReplaceColumns" ): + listener.exitHiveReplaceColumns(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitHiveReplaceColumns" ): + return visitor.visitHiveReplaceColumns(self) + else: + return visitor.visitChildren(self) + + + class CommentNamespaceContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def COMMENT(self): + return self.getToken(SqlBaseParser.COMMENT, 0) + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + def namespace(self): + return self.getTypedRuleContext(SqlBaseParser.NamespaceContext,0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def IS(self): + return self.getToken(SqlBaseParser.IS, 0) + def comment(self): + return self.getTypedRuleContext(SqlBaseParser.CommentContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCommentNamespace" ): + listener.enterCommentNamespace(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCommentNamespace" ): + listener.exitCommentNamespace(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCommentNamespace" ): + return visitor.visitCommentNamespace(self) + else: + return visitor.visitChildren(self) + + + class ResetQuotedConfigurationContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def RESET(self): + return self.getToken(SqlBaseParser.RESET, 0) + def configKey(self): + return self.getTypedRuleContext(SqlBaseParser.ConfigKeyContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterResetQuotedConfiguration" ): + listener.enterResetQuotedConfiguration(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitResetQuotedConfiguration" ): + listener.exitResetQuotedConfiguration(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitResetQuotedConfiguration" ): + return visitor.visitResetQuotedConfiguration(self) + else: + return visitor.visitChildren(self) + + + class CreateTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def createTableHeader(self): + return self.getTypedRuleContext(SqlBaseParser.CreateTableHeaderContext,0) + + def createTableClauses(self): + return self.getTypedRuleContext(SqlBaseParser.CreateTableClausesContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def createOrReplaceTableColTypeList(self): + return self.getTypedRuleContext(SqlBaseParser.CreateOrReplaceTableColTypeListContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def tableProvider(self): + return self.getTypedRuleContext(SqlBaseParser.TableProviderContext,0) + + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateTable" ): + listener.enterCreateTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateTable" ): + listener.exitCreateTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateTable" ): + return visitor.visitCreateTable(self) + else: + return visitor.visitChildren(self) + + + class DmlStatementContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def dmlStatementNoWith(self): + return self.getTypedRuleContext(SqlBaseParser.DmlStatementNoWithContext,0) + + def ctes(self): + return self.getTypedRuleContext(SqlBaseParser.CtesContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDmlStatement" ): + listener.enterDmlStatement(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDmlStatement" ): + listener.exitDmlStatement(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDmlStatement" ): + return visitor.visitDmlStatement(self) + else: + return visitor.visitChildren(self) + + + class CreateTableLikeContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.target = None # TableIdentifierContext + self.source = None # TableIdentifierContext + self.tableProps = None # PropertyListContext + self.copyFrom(ctx) + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + def tableIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.TableIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.TableIdentifierContext,i) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def tableProvider(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.TableProviderContext) + else: + return self.getTypedRuleContext(SqlBaseParser.TableProviderContext,i) + + def rowFormat(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.RowFormatContext) + else: + return self.getTypedRuleContext(SqlBaseParser.RowFormatContext,i) + + def createFileFormat(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.CreateFileFormatContext) + else: + return self.getTypedRuleContext(SqlBaseParser.CreateFileFormatContext,i) + + def locationSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.LocationSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.LocationSpecContext,i) + + def TBLPROPERTIES(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.TBLPROPERTIES) + else: + return self.getToken(SqlBaseParser.TBLPROPERTIES, i) + def propertyList(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PropertyListContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateTableLike" ): + listener.enterCreateTableLike(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateTableLike" ): + listener.exitCreateTableLike(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateTableLike" ): + return visitor.visitCreateTableLike(self) + else: + return visitor.visitChildren(self) + + + class UncacheTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def UNCACHE(self): + return self.getToken(SqlBaseParser.UNCACHE, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUncacheTable" ): + listener.enterUncacheTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUncacheTable" ): + listener.exitUncacheTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUncacheTable" ): + return visitor.visitUncacheTable(self) + else: + return visitor.visitChildren(self) + + + class DropFunctionContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + def FUNCTION(self): + return self.getToken(SqlBaseParser.FUNCTION, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def TEMPORARY(self): + return self.getToken(SqlBaseParser.TEMPORARY, 0) + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDropFunction" ): + listener.enterDropFunction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDropFunction" ): + listener.exitDropFunction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDropFunction" ): + return visitor.visitDropFunction(self) + else: + return visitor.visitChildren(self) + + + class DescribeRelationContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.option = None # Token + self.copyFrom(ctx) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def DESC(self): + return self.getToken(SqlBaseParser.DESC, 0) + def DESCRIBE(self): + return self.getToken(SqlBaseParser.DESCRIBE, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + def describeColName(self): + return self.getTypedRuleContext(SqlBaseParser.DescribeColNameContext,0) + + def EXTENDED(self): + return self.getToken(SqlBaseParser.EXTENDED, 0) + def FORMATTED(self): + return self.getToken(SqlBaseParser.FORMATTED, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDescribeRelation" ): + listener.enterDescribeRelation(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDescribeRelation" ): + listener.exitDescribeRelation(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDescribeRelation" ): + return visitor.visitDescribeRelation(self) + else: + return visitor.visitChildren(self) + + + class LoadDataContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.path = None # StringLitContext + self.copyFrom(ctx) + + def LOAD(self): + return self.getToken(SqlBaseParser.LOAD, 0) + def DATA(self): + return self.getToken(SqlBaseParser.DATA, 0) + def INPATH(self): + return self.getToken(SqlBaseParser.INPATH, 0) + def INTO(self): + return self.getToken(SqlBaseParser.INTO, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def LOCAL(self): + return self.getToken(SqlBaseParser.LOCAL, 0) + def OVERWRITE(self): + return self.getToken(SqlBaseParser.OVERWRITE, 0) + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterLoadData" ): + listener.enterLoadData(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitLoadData" ): + listener.exitLoadData(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitLoadData" ): + return visitor.visitLoadData(self) + else: + return visitor.visitChildren(self) + + + class ShowPartitionsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def PARTITIONS(self): + return self.getToken(SqlBaseParser.PARTITIONS, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowPartitions" ): + listener.enterShowPartitions(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowPartitions" ): + listener.exitShowPartitions(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowPartitions" ): + return visitor.visitShowPartitions(self) + else: + return visitor.visitChildren(self) + + + class DescribeFunctionContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def FUNCTION(self): + return self.getToken(SqlBaseParser.FUNCTION, 0) + def describeFuncName(self): + return self.getTypedRuleContext(SqlBaseParser.DescribeFuncNameContext,0) + + def DESC(self): + return self.getToken(SqlBaseParser.DESC, 0) + def DESCRIBE(self): + return self.getToken(SqlBaseParser.DESCRIBE, 0) + def EXTENDED(self): + return self.getToken(SqlBaseParser.EXTENDED, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDescribeFunction" ): + listener.enterDescribeFunction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDescribeFunction" ): + listener.exitDescribeFunction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDescribeFunction" ): + return visitor.visitDescribeFunction(self) + else: + return visitor.visitChildren(self) + + + class RenameTableColumnContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.table = None # MultipartIdentifierContext + self.from_ = None # MultipartIdentifierContext + self.to = None # ErrorCapturingIdentifierContext + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def RENAME(self): + return self.getToken(SqlBaseParser.RENAME, 0) + def COLUMN(self): + return self.getToken(SqlBaseParser.COLUMN, 0) + def TO(self): + return self.getToken(SqlBaseParser.TO, 0) + def multipartIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,i) + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRenameTableColumn" ): + listener.enterRenameTableColumn(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRenameTableColumn" ): + listener.exitRenameTableColumn(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRenameTableColumn" ): + return visitor.visitRenameTableColumn(self) + else: + return visitor.visitChildren(self) + + + class StatementDefaultContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterStatementDefault" ): + listener.enterStatementDefault(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitStatementDefault" ): + listener.exitStatementDefault(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitStatementDefault" ): + return visitor.visitStatementDefault(self) + else: + return visitor.visitChildren(self) + + + class HiveChangeColumnContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.table = None # MultipartIdentifierContext + self.colName = None # MultipartIdentifierContext + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def CHANGE(self): + return self.getToken(SqlBaseParser.CHANGE, 0) + def colType(self): + return self.getTypedRuleContext(SqlBaseParser.ColTypeContext,0) + + def multipartIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,i) + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + def COLUMN(self): + return self.getToken(SqlBaseParser.COLUMN, 0) + def colPosition(self): + return self.getTypedRuleContext(SqlBaseParser.ColPositionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterHiveChangeColumn" ): + listener.enterHiveChangeColumn(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitHiveChangeColumn" ): + listener.exitHiveChangeColumn(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitHiveChangeColumn" ): + return visitor.visitHiveChangeColumn(self) + else: + return visitor.visitChildren(self) + + + class SetTimeZoneContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def TIME(self): + return self.getToken(SqlBaseParser.TIME, 0) + def ZONE(self): + return self.getToken(SqlBaseParser.ZONE, 0) + def interval(self): + return self.getTypedRuleContext(SqlBaseParser.IntervalContext,0) + + def timezone(self): + return self.getTypedRuleContext(SqlBaseParser.TimezoneContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetTimeZone" ): + listener.enterSetTimeZone(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetTimeZone" ): + listener.exitSetTimeZone(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetTimeZone" ): + return visitor.visitSetTimeZone(self) + else: + return visitor.visitChildren(self) + + + class DescribeQueryContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def DESC(self): + return self.getToken(SqlBaseParser.DESC, 0) + def DESCRIBE(self): + return self.getToken(SqlBaseParser.DESCRIBE, 0) + def QUERY(self): + return self.getToken(SqlBaseParser.QUERY, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDescribeQuery" ): + listener.enterDescribeQuery(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDescribeQuery" ): + listener.exitDescribeQuery(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDescribeQuery" ): + return visitor.visitDescribeQuery(self) + else: + return visitor.visitChildren(self) + + + class TruncateTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def TRUNCATE(self): + return self.getToken(SqlBaseParser.TRUNCATE, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTruncateTable" ): + listener.enterTruncateTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTruncateTable" ): + listener.exitTruncateTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTruncateTable" ): + return visitor.visitTruncateTable(self) + else: + return visitor.visitChildren(self) + + + class SetTableSerDeContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def SERDE(self): + return self.getToken(SqlBaseParser.SERDE, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + def WITH(self): + return self.getToken(SqlBaseParser.WITH, 0) + def SERDEPROPERTIES(self): + return self.getToken(SqlBaseParser.SERDEPROPERTIES, 0) + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetTableSerDe" ): + listener.enterSetTableSerDe(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetTableSerDe" ): + listener.exitSetTableSerDe(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetTableSerDe" ): + return visitor.visitSetTableSerDe(self) + else: + return visitor.visitChildren(self) + + + class CreateViewContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def OR(self): + return self.getToken(SqlBaseParser.OR, 0) + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + def TEMPORARY(self): + return self.getToken(SqlBaseParser.TEMPORARY, 0) + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def identifierCommentList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierCommentListContext,0) + + def commentSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.CommentSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,i) + + def PARTITIONED(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.PARTITIONED) + else: + return self.getToken(SqlBaseParser.PARTITIONED, i) + def ON(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.ON) + else: + return self.getToken(SqlBaseParser.ON, i) + def identifierList(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierListContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,i) + + def TBLPROPERTIES(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.TBLPROPERTIES) + else: + return self.getToken(SqlBaseParser.TBLPROPERTIES, i) + def propertyList(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PropertyListContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,i) + + def GLOBAL(self): + return self.getToken(SqlBaseParser.GLOBAL, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateView" ): + listener.enterCreateView(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateView" ): + listener.exitCreateView(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateView" ): + return visitor.visitCreateView(self) + else: + return visitor.visitChildren(self) + + + class DropTablePartitionsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + def partitionSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PartitionSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,i) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + def PURGE(self): + return self.getToken(SqlBaseParser.PURGE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDropTablePartitions" ): + listener.enterDropTablePartitions(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDropTablePartitions" ): + listener.exitDropTablePartitions(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDropTablePartitions" ): + return visitor.visitDropTablePartitions(self) + else: + return visitor.visitChildren(self) + + + class SetConfigurationContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def configKey(self): + return self.getTypedRuleContext(SqlBaseParser.ConfigKeyContext,0) + + def EQ(self): + return self.getToken(SqlBaseParser.EQ, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetConfiguration" ): + listener.enterSetConfiguration(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetConfiguration" ): + listener.exitSetConfiguration(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetConfiguration" ): + return visitor.visitSetConfiguration(self) + else: + return visitor.visitChildren(self) + + + class DropTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def PURGE(self): + return self.getToken(SqlBaseParser.PURGE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDropTable" ): + listener.enterDropTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDropTable" ): + listener.exitDropTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDropTable" ): + return visitor.visitDropTable(self) + else: + return visitor.visitChildren(self) + + + class ShowTableExtendedContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.ns = None # MultipartIdentifierContext + self.pattern = None # StringLitContext + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def EXTENDED(self): + return self.getToken(SqlBaseParser.EXTENDED, 0) + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowTableExtended" ): + listener.enterShowTableExtended(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowTableExtended" ): + listener.exitShowTableExtended(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowTableExtended" ): + return visitor.visitShowTableExtended(self) + else: + return visitor.visitChildren(self) + + + class DescribeNamespaceContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def namespace(self): + return self.getTypedRuleContext(SqlBaseParser.NamespaceContext,0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def DESC(self): + return self.getToken(SqlBaseParser.DESC, 0) + def DESCRIBE(self): + return self.getToken(SqlBaseParser.DESCRIBE, 0) + def EXTENDED(self): + return self.getToken(SqlBaseParser.EXTENDED, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDescribeNamespace" ): + listener.enterDescribeNamespace(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDescribeNamespace" ): + listener.exitDescribeNamespace(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDescribeNamespace" ): + return visitor.visitDescribeNamespace(self) + else: + return visitor.visitChildren(self) + + + class AlterTableAlterColumnContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.table = None # MultipartIdentifierContext + self.column = None # MultipartIdentifierContext + self.copyFrom(ctx) + + def ALTER(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.ALTER) + else: + return self.getToken(SqlBaseParser.ALTER, i) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,i) + + def CHANGE(self): + return self.getToken(SqlBaseParser.CHANGE, 0) + def COLUMN(self): + return self.getToken(SqlBaseParser.COLUMN, 0) + def alterColumnAction(self): + return self.getTypedRuleContext(SqlBaseParser.AlterColumnActionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAlterTableAlterColumn" ): + listener.enterAlterTableAlterColumn(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAlterTableAlterColumn" ): + listener.exitAlterTableAlterColumn(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAlterTableAlterColumn" ): + return visitor.visitAlterTableAlterColumn(self) + else: + return visitor.visitChildren(self) + + + class RefreshFunctionContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def REFRESH(self): + return self.getToken(SqlBaseParser.REFRESH, 0) + def FUNCTION(self): + return self.getToken(SqlBaseParser.FUNCTION, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRefreshFunction" ): + listener.enterRefreshFunction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRefreshFunction" ): + listener.exitRefreshFunction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRefreshFunction" ): + return visitor.visitRefreshFunction(self) + else: + return visitor.visitChildren(self) + + + class CommentTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def COMMENT(self): + return self.getToken(SqlBaseParser.COMMENT, 0) + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def IS(self): + return self.getToken(SqlBaseParser.IS, 0) + def comment(self): + return self.getTypedRuleContext(SqlBaseParser.CommentContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCommentTable" ): + listener.enterCommentTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCommentTable" ): + listener.exitCommentTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCommentTable" ): + return visitor.visitCommentTable(self) + else: + return visitor.visitChildren(self) + + + class CreateIndexContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.indexType = None # IdentifierContext + self.columns = None # MultipartIdentifierPropertyListContext + self.options = None # PropertyListContext + self.copyFrom(ctx) + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + def INDEX(self): + return self.getToken(SqlBaseParser.INDEX, 0) + def identifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,i) + + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def multipartIdentifierPropertyList(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierPropertyListContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def USING(self): + return self.getToken(SqlBaseParser.USING, 0) + def OPTIONS(self): + return self.getToken(SqlBaseParser.OPTIONS, 0) + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateIndex" ): + listener.enterCreateIndex(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateIndex" ): + listener.exitCreateIndex(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateIndex" ): + return visitor.visitCreateIndex(self) + else: + return visitor.visitChildren(self) + + + class UseNamespaceContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def USE(self): + return self.getToken(SqlBaseParser.USE, 0) + def namespace(self): + return self.getTypedRuleContext(SqlBaseParser.NamespaceContext,0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUseNamespace" ): + listener.enterUseNamespace(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUseNamespace" ): + listener.exitUseNamespace(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUseNamespace" ): + return visitor.visitUseNamespace(self) + else: + return visitor.visitChildren(self) + + + class CreateNamespaceContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + def namespace(self): + return self.getTypedRuleContext(SqlBaseParser.NamespaceContext,0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def commentSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.CommentSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,i) + + def locationSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.LocationSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.LocationSpecContext,i) + + def WITH(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.WITH) + else: + return self.getToken(SqlBaseParser.WITH, i) + def propertyList(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PropertyListContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,i) + + def DBPROPERTIES(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.DBPROPERTIES) + else: + return self.getToken(SqlBaseParser.DBPROPERTIES, i) + def PROPERTIES(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.PROPERTIES) + else: + return self.getToken(SqlBaseParser.PROPERTIES, i) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateNamespace" ): + listener.enterCreateNamespace(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateNamespace" ): + listener.exitCreateNamespace(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateNamespace" ): + return visitor.visitCreateNamespace(self) + else: + return visitor.visitChildren(self) + + + class ShowTblPropertiesContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.table = None # MultipartIdentifierContext + self.key = None # PropertyKeyContext + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def TBLPROPERTIES(self): + return self.getToken(SqlBaseParser.TBLPROPERTIES, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def propertyKey(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyKeyContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowTblProperties" ): + listener.enterShowTblProperties(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowTblProperties" ): + listener.exitShowTblProperties(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowTblProperties" ): + return visitor.visitShowTblProperties(self) + else: + return visitor.visitChildren(self) + + + class UnsetTablePropertiesContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def UNSET(self): + return self.getToken(SqlBaseParser.UNSET, 0) + def TBLPROPERTIES(self): + return self.getToken(SqlBaseParser.TBLPROPERTIES, 0) + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnsetTableProperties" ): + listener.enterUnsetTableProperties(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnsetTableProperties" ): + listener.exitUnsetTableProperties(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnsetTableProperties" ): + return visitor.visitUnsetTableProperties(self) + else: + return visitor.visitChildren(self) + + + class SetTableLocationContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def locationSpec(self): + return self.getTypedRuleContext(SqlBaseParser.LocationSpecContext,0) + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetTableLocation" ): + listener.enterSetTableLocation(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetTableLocation" ): + listener.exitSetTableLocation(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetTableLocation" ): + return visitor.visitSetTableLocation(self) + else: + return visitor.visitChildren(self) + + + class DropTableColumnsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.columns = None # MultipartIdentifierListContext + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def COLUMN(self): + return self.getToken(SqlBaseParser.COLUMN, 0) + def COLUMNS(self): + return self.getToken(SqlBaseParser.COLUMNS, 0) + def multipartIdentifierList(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierListContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDropTableColumns" ): + listener.enterDropTableColumns(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDropTableColumns" ): + listener.exitDropTableColumns(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDropTableColumns" ): + return visitor.visitDropTableColumns(self) + else: + return visitor.visitChildren(self) + + + class ShowViewsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.pattern = None # StringLitContext + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def VIEWS(self): + return self.getToken(SqlBaseParser.VIEWS, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowViews" ): + listener.enterShowViews(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowViews" ): + listener.exitShowViews(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowViews" ): + return visitor.visitShowViews(self) + else: + return visitor.visitChildren(self) + + + class ShowFunctionsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.ns = None # MultipartIdentifierContext + self.legacy = None # MultipartIdentifierContext + self.pattern = None # StringLitContext + self.copyFrom(ctx) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + def FUNCTIONS(self): + return self.getToken(SqlBaseParser.FUNCTIONS, 0) + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + def multipartIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,i) + + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterShowFunctions" ): + listener.enterShowFunctions(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitShowFunctions" ): + listener.exitShowFunctions(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitShowFunctions" ): + return visitor.visitShowFunctions(self) + else: + return visitor.visitChildren(self) + + + class CacheTableContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.options = None # PropertyListContext + self.copyFrom(ctx) + + def CACHE(self): + return self.getToken(SqlBaseParser.CACHE, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def LAZY(self): + return self.getToken(SqlBaseParser.LAZY, 0) + def OPTIONS(self): + return self.getToken(SqlBaseParser.OPTIONS, 0) + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCacheTable" ): + listener.enterCacheTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCacheTable" ): + listener.exitCacheTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCacheTable" ): + return visitor.visitCacheTable(self) + else: + return visitor.visitChildren(self) + + + class AddTableColumnsContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.columns = None # QualifiedColTypeWithPositionListContext + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def ADD(self): + return self.getToken(SqlBaseParser.ADD, 0) + def COLUMN(self): + return self.getToken(SqlBaseParser.COLUMN, 0) + def COLUMNS(self): + return self.getToken(SqlBaseParser.COLUMNS, 0) + def qualifiedColTypeWithPositionList(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedColTypeWithPositionListContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAddTableColumns" ): + listener.enterAddTableColumns(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAddTableColumns" ): + listener.exitAddTableColumns(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAddTableColumns" ): + return visitor.visitAddTableColumns(self) + else: + return visitor.visitChildren(self) + + + class SetTablePropertiesContext(StatementContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StatementContext + super().__init__(parser) + self.copyFrom(ctx) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + def TBLPROPERTIES(self): + return self.getToken(SqlBaseParser.TBLPROPERTIES, 0) + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetTableProperties" ): + listener.enterSetTableProperties(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetTableProperties" ): + listener.exitSetTableProperties(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetTableProperties" ): + return visitor.visitSetTableProperties(self) + else: + return visitor.visitChildren(self) + + + + def statement(self): + + localctx = SqlBaseParser.StatementContext(self, self._ctx, self.state) + self.enterRule(localctx, 14, self.RULE_statement) + self._la = 0 # Token type + try: + self.state = 1180 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,121,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.StatementDefaultContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 377 + self.query() + pass + + elif la_ == 2: + localctx = SqlBaseParser.DmlStatementContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 379 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==303: + self.state = 378 + self.ctes() + + + self.state = 381 + self.dmlStatementNoWith() + pass + + elif la_ == 3: + localctx = SqlBaseParser.UseContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 382 + self.match(SqlBaseParser.USE) + self.state = 383 + self.multipartIdentifier() + pass + + elif la_ == 4: + localctx = SqlBaseParser.UseNamespaceContext(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 384 + self.match(SqlBaseParser.USE) + self.state = 385 + self.namespace() + self.state = 386 + self.multipartIdentifier() + pass + + elif la_ == 5: + localctx = SqlBaseParser.SetCatalogContext(self, localctx) + self.enterOuterAlt(localctx, 5) + self.state = 388 + self.match(SqlBaseParser.SET) + self.state = 389 + self.match(SqlBaseParser.CATALOG) + self.state = 392 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,2,self._ctx) + if la_ == 1: + self.state = 390 + self.identifier() + pass + + elif la_ == 2: + self.state = 391 + self.stringLit() + pass + + + pass + + elif la_ == 6: + localctx = SqlBaseParser.CreateNamespaceContext(self, localctx) + self.enterOuterAlt(localctx, 6) + self.state = 394 + self.match(SqlBaseParser.CREATE) + self.state = 395 + self.namespace() + self.state = 399 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,3,self._ctx) + if la_ == 1: + self.state = 396 + self.match(SqlBaseParser.IF) + self.state = 397 + self.match(SqlBaseParser.NOT) + self.state = 398 + self.match(SqlBaseParser.EXISTS) + + + self.state = 401 + self.multipartIdentifier() + self.state = 409 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==45 or _la==149 or _la==303: + self.state = 407 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [45]: + self.state = 402 + self.commentSpec() + pass + elif token in [149]: + self.state = 403 + self.locationSpec() + pass + elif token in [303]: + self.state = 404 + self.match(SqlBaseParser.WITH) + self.state = 405 + _la = self._input.LA(1) + if not(_la==69 or _la==202): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 406 + self.propertyList() + pass + else: + raise NoViableAltException(self) + + self.state = 411 + self._errHandler.sync(self) + _la = self._input.LA(1) + + pass + + elif la_ == 7: + localctx = SqlBaseParser.SetNamespacePropertiesContext(self, localctx) + self.enterOuterAlt(localctx, 7) + self.state = 412 + self.match(SqlBaseParser.ALTER) + self.state = 413 + self.namespace() + self.state = 414 + self.multipartIdentifier() + self.state = 415 + self.match(SqlBaseParser.SET) + self.state = 416 + _la = self._input.LA(1) + if not(_la==69 or _la==202): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 417 + self.propertyList() + pass + + elif la_ == 8: + localctx = SqlBaseParser.SetNamespaceLocationContext(self, localctx) + self.enterOuterAlt(localctx, 8) + self.state = 419 + self.match(SqlBaseParser.ALTER) + self.state = 420 + self.namespace() + self.state = 421 + self.multipartIdentifier() + self.state = 422 + self.match(SqlBaseParser.SET) + self.state = 423 + self.locationSpec() + pass + + elif la_ == 9: + localctx = SqlBaseParser.DropNamespaceContext(self, localctx) + self.enterOuterAlt(localctx, 9) + self.state = 425 + self.match(SqlBaseParser.DROP) + self.state = 426 + self.namespace() + self.state = 429 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,6,self._ctx) + if la_ == 1: + self.state = 427 + self.match(SqlBaseParser.IF) + self.state = 428 + self.match(SqlBaseParser.EXISTS) + + + self.state = 431 + self.multipartIdentifier() + self.state = 433 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==30 or _la==219: + self.state = 432 + _la = self._input.LA(1) + if not(_la==30 or _la==219): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + pass + + elif la_ == 10: + localctx = SqlBaseParser.ShowNamespacesContext(self, localctx) + self.enterOuterAlt(localctx, 10) + self.state = 435 + self.match(SqlBaseParser.SHOW) + self.state = 436 + self.namespaces() + self.state = 439 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==107 or _la==122: + self.state = 437 + _la = self._input.LA(1) + if not(_la==107 or _la==122): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 438 + self.multipartIdentifier() + + + self.state = 445 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==142 or _la==330 or _la==331: + self.state = 442 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==142: + self.state = 441 + self.match(SqlBaseParser.LIKE) + + + self.state = 444 + localctx.pattern = self.stringLit() + + + pass + + elif la_ == 11: + localctx = SqlBaseParser.CreateTableContext(self, localctx) + self.enterOuterAlt(localctx, 11) + self.state = 447 + self.createTableHeader() + self.state = 452 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,11,self._ctx) + if la_ == 1: + self.state = 448 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 449 + self.createOrReplaceTableColTypeList() + self.state = 450 + self.match(SqlBaseParser.RIGHT_PAREN) + + + self.state = 455 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==293: + self.state = 454 + self.tableProvider() + + + self.state = 457 + self.createTableClauses() + self.state = 462 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==2 or _la==20 or _la==107 or _la==154 or ((((_la - 210)) & ~0x3f) == 0 and ((1 << (_la - 210)) & 281474985099265) != 0) or _la==294 or _la==303: + self.state = 459 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==20: + self.state = 458 + self.match(SqlBaseParser.AS) + + + self.state = 461 + self.query() + + + pass + + elif la_ == 12: + localctx = SqlBaseParser.CreateTableLikeContext(self, localctx) + self.enterOuterAlt(localctx, 12) + self.state = 464 + self.match(SqlBaseParser.CREATE) + self.state = 465 + self.match(SqlBaseParser.TABLE) + self.state = 469 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,15,self._ctx) + if la_ == 1: + self.state = 466 + self.match(SqlBaseParser.IF) + self.state = 467 + self.match(SqlBaseParser.NOT) + self.state = 468 + self.match(SqlBaseParser.EXISTS) + + + self.state = 471 + localctx.target = self.tableIdentifier() + self.state = 472 + self.match(SqlBaseParser.LIKE) + self.state = 473 + localctx.source = self.tableIdentifier() + self.state = 482 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==149 or ((((_la - 227)) & ~0x3f) == 0 and ((1 << (_la - 227)) & 34368126977) != 0) or _la==293: + self.state = 480 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [293]: + self.state = 474 + self.tableProvider() + pass + elif token in [227]: + self.state = 475 + self.rowFormat() + pass + elif token in [250]: + self.state = 476 + self.createFileFormat() + pass + elif token in [149]: + self.state = 477 + self.locationSpec() + pass + elif token in [262]: + self.state = 478 + self.match(SqlBaseParser.TBLPROPERTIES) + self.state = 479 + localctx.tableProps = self.propertyList() + pass + else: + raise NoViableAltException(self) + + self.state = 484 + self._errHandler.sync(self) + _la = self._input.LA(1) + + pass + + elif la_ == 13: + localctx = SqlBaseParser.ReplaceTableContext(self, localctx) + self.enterOuterAlt(localctx, 13) + self.state = 485 + self.replaceTableHeader() + self.state = 490 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,18,self._ctx) + if la_ == 1: + self.state = 486 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 487 + self.createOrReplaceTableColTypeList() + self.state = 488 + self.match(SqlBaseParser.RIGHT_PAREN) + + + self.state = 493 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==293: + self.state = 492 + self.tableProvider() + + + self.state = 495 + self.createTableClauses() + self.state = 500 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==2 or _la==20 or _la==107 or _la==154 or ((((_la - 210)) & ~0x3f) == 0 and ((1 << (_la - 210)) & 281474985099265) != 0) or _la==294 or _la==303: + self.state = 497 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==20: + self.state = 496 + self.match(SqlBaseParser.AS) + + + self.state = 499 + self.query() + + + pass + + elif la_ == 14: + localctx = SqlBaseParser.AnalyzeContext(self, localctx) + self.enterOuterAlt(localctx, 14) + self.state = 502 + self.match(SqlBaseParser.ANALYZE) + self.state = 503 + self.match(SqlBaseParser.TABLE) + self.state = 504 + self.multipartIdentifier() + self.state = 506 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 505 + self.partitionSpec() + + + self.state = 508 + self.match(SqlBaseParser.COMPUTE) + self.state = 509 + self.match(SqlBaseParser.STATISTICS) + self.state = 517 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,23,self._ctx) + if la_ == 1: + self.state = 510 + self.identifier() + + elif la_ == 2: + self.state = 511 + self.match(SqlBaseParser.FOR) + self.state = 512 + self.match(SqlBaseParser.COLUMNS) + self.state = 513 + self.identifierSeq() + + elif la_ == 3: + self.state = 514 + self.match(SqlBaseParser.FOR) + self.state = 515 + self.match(SqlBaseParser.ALL) + self.state = 516 + self.match(SqlBaseParser.COLUMNS) + + + pass + + elif la_ == 15: + localctx = SqlBaseParser.AnalyzeTablesContext(self, localctx) + self.enterOuterAlt(localctx, 15) + self.state = 519 + self.match(SqlBaseParser.ANALYZE) + self.state = 520 + self.match(SqlBaseParser.TABLES) + self.state = 523 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==107 or _la==122: + self.state = 521 + _la = self._input.LA(1) + if not(_la==107 or _la==122): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 522 + self.multipartIdentifier() + + + self.state = 525 + self.match(SqlBaseParser.COMPUTE) + self.state = 526 + self.match(SqlBaseParser.STATISTICS) + self.state = 528 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -256) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503599627370495) != 0) or ((((_la - 331)) & ~0x3f) == 0 and ((1 << (_la - 331)) & 3073) != 0): + self.state = 527 + self.identifier() + + + pass + + elif la_ == 16: + localctx = SqlBaseParser.AddTableColumnsContext(self, localctx) + self.enterOuterAlt(localctx, 16) + self.state = 530 + self.match(SqlBaseParser.ALTER) + self.state = 531 + self.match(SqlBaseParser.TABLE) + self.state = 532 + self.multipartIdentifier() + self.state = 533 + self.match(SqlBaseParser.ADD) + self.state = 534 + _la = self._input.LA(1) + if not(_la==43 or _la==44): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 535 + localctx.columns = self.qualifiedColTypeWithPositionList() + pass + + elif la_ == 17: + localctx = SqlBaseParser.AddTableColumnsContext(self, localctx) + self.enterOuterAlt(localctx, 17) + self.state = 537 + self.match(SqlBaseParser.ALTER) + self.state = 538 + self.match(SqlBaseParser.TABLE) + self.state = 539 + self.multipartIdentifier() + self.state = 540 + self.match(SqlBaseParser.ADD) + self.state = 541 + _la = self._input.LA(1) + if not(_la==43 or _la==44): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 542 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 543 + localctx.columns = self.qualifiedColTypeWithPositionList() + self.state = 544 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 18: + localctx = SqlBaseParser.RenameTableColumnContext(self, localctx) + self.enterOuterAlt(localctx, 18) + self.state = 546 + self.match(SqlBaseParser.ALTER) + self.state = 547 + self.match(SqlBaseParser.TABLE) + self.state = 548 + localctx.table = self.multipartIdentifier() + self.state = 549 + self.match(SqlBaseParser.RENAME) + self.state = 550 + self.match(SqlBaseParser.COLUMN) + self.state = 551 + localctx.from_ = self.multipartIdentifier() + self.state = 552 + self.match(SqlBaseParser.TO) + self.state = 553 + localctx.to = self.errorCapturingIdentifier() + pass + + elif la_ == 19: + localctx = SqlBaseParser.DropTableColumnsContext(self, localctx) + self.enterOuterAlt(localctx, 19) + self.state = 555 + self.match(SqlBaseParser.ALTER) + self.state = 556 + self.match(SqlBaseParser.TABLE) + self.state = 557 + self.multipartIdentifier() + self.state = 558 + self.match(SqlBaseParser.DROP) + self.state = 559 + _la = self._input.LA(1) + if not(_la==43 or _la==44): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 562 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==119: + self.state = 560 + self.match(SqlBaseParser.IF) + self.state = 561 + self.match(SqlBaseParser.EXISTS) + + + self.state = 564 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 565 + localctx.columns = self.multipartIdentifierList() + self.state = 566 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 20: + localctx = SqlBaseParser.DropTableColumnsContext(self, localctx) + self.enterOuterAlt(localctx, 20) + self.state = 568 + self.match(SqlBaseParser.ALTER) + self.state = 569 + self.match(SqlBaseParser.TABLE) + self.state = 570 + self.multipartIdentifier() + self.state = 571 + self.match(SqlBaseParser.DROP) + self.state = 572 + _la = self._input.LA(1) + if not(_la==43 or _la==44): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 575 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,27,self._ctx) + if la_ == 1: + self.state = 573 + self.match(SqlBaseParser.IF) + self.state = 574 + self.match(SqlBaseParser.EXISTS) + + + self.state = 577 + localctx.columns = self.multipartIdentifierList() + pass + + elif la_ == 21: + localctx = SqlBaseParser.RenameTableContext(self, localctx) + self.enterOuterAlt(localctx, 21) + self.state = 579 + self.match(SqlBaseParser.ALTER) + self.state = 580 + _la = self._input.LA(1) + if not(_la==258 or _la==296): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 581 + localctx.from_ = self.multipartIdentifier() + self.state = 582 + self.match(SqlBaseParser.RENAME) + self.state = 583 + self.match(SqlBaseParser.TO) + self.state = 584 + localctx.to = self.multipartIdentifier() + pass + + elif la_ == 22: + localctx = SqlBaseParser.SetTablePropertiesContext(self, localctx) + self.enterOuterAlt(localctx, 22) + self.state = 586 + self.match(SqlBaseParser.ALTER) + self.state = 587 + _la = self._input.LA(1) + if not(_la==258 or _la==296): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 588 + self.multipartIdentifier() + self.state = 589 + self.match(SqlBaseParser.SET) + self.state = 590 + self.match(SqlBaseParser.TBLPROPERTIES) + self.state = 591 + self.propertyList() + pass + + elif la_ == 23: + localctx = SqlBaseParser.UnsetTablePropertiesContext(self, localctx) + self.enterOuterAlt(localctx, 23) + self.state = 593 + self.match(SqlBaseParser.ALTER) + self.state = 594 + _la = self._input.LA(1) + if not(_la==258 or _la==296): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 595 + self.multipartIdentifier() + self.state = 596 + self.match(SqlBaseParser.UNSET) + self.state = 597 + self.match(SqlBaseParser.TBLPROPERTIES) + self.state = 600 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==119: + self.state = 598 + self.match(SqlBaseParser.IF) + self.state = 599 + self.match(SqlBaseParser.EXISTS) + + + self.state = 602 + self.propertyList() + pass + + elif la_ == 24: + localctx = SqlBaseParser.AlterTableAlterColumnContext(self, localctx) + self.enterOuterAlt(localctx, 24) + self.state = 604 + self.match(SqlBaseParser.ALTER) + self.state = 605 + self.match(SqlBaseParser.TABLE) + self.state = 606 + localctx.table = self.multipartIdentifier() + self.state = 607 + _la = self._input.LA(1) + if not(_la==11 or _la==35): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 609 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,29,self._ctx) + if la_ == 1: + self.state = 608 + self.match(SqlBaseParser.COLUMN) + + + self.state = 611 + localctx.column = self.multipartIdentifier() + self.state = 613 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==9 or _la==45 or _la==82 or _la==101 or _la==239 or _la==280: + self.state = 612 + self.alterColumnAction() + + + pass + + elif la_ == 25: + localctx = SqlBaseParser.HiveChangeColumnContext(self, localctx) + self.enterOuterAlt(localctx, 25) + self.state = 615 + self.match(SqlBaseParser.ALTER) + self.state = 616 + self.match(SqlBaseParser.TABLE) + self.state = 617 + localctx.table = self.multipartIdentifier() + self.state = 619 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 618 + self.partitionSpec() + + + self.state = 621 + self.match(SqlBaseParser.CHANGE) + self.state = 623 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,32,self._ctx) + if la_ == 1: + self.state = 622 + self.match(SqlBaseParser.COLUMN) + + + self.state = 625 + localctx.colName = self.multipartIdentifier() + self.state = 626 + self.colType() + self.state = 628 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==9 or _la==101: + self.state = 627 + self.colPosition() + + + pass + + elif la_ == 26: + localctx = SqlBaseParser.HiveReplaceColumnsContext(self, localctx) + self.enterOuterAlt(localctx, 26) + self.state = 630 + self.match(SqlBaseParser.ALTER) + self.state = 631 + self.match(SqlBaseParser.TABLE) + self.state = 632 + localctx.table = self.multipartIdentifier() + self.state = 634 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 633 + self.partitionSpec() + + + self.state = 636 + self.match(SqlBaseParser.REPLACE) + self.state = 637 + self.match(SqlBaseParser.COLUMNS) + self.state = 638 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 639 + localctx.columns = self.qualifiedColTypeWithPositionList() + self.state = 640 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 27: + localctx = SqlBaseParser.SetTableSerDeContext(self, localctx) + self.enterOuterAlt(localctx, 27) + self.state = 642 + self.match(SqlBaseParser.ALTER) + self.state = 643 + self.match(SqlBaseParser.TABLE) + self.state = 644 + self.multipartIdentifier() + self.state = 646 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 645 + self.partitionSpec() + + + self.state = 648 + self.match(SqlBaseParser.SET) + self.state = 649 + self.match(SqlBaseParser.SERDE) + self.state = 650 + self.stringLit() + self.state = 654 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==303: + self.state = 651 + self.match(SqlBaseParser.WITH) + self.state = 652 + self.match(SqlBaseParser.SERDEPROPERTIES) + self.state = 653 + self.propertyList() + + + pass + + elif la_ == 28: + localctx = SqlBaseParser.SetTableSerDeContext(self, localctx) + self.enterOuterAlt(localctx, 28) + self.state = 656 + self.match(SqlBaseParser.ALTER) + self.state = 657 + self.match(SqlBaseParser.TABLE) + self.state = 658 + self.multipartIdentifier() + self.state = 660 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 659 + self.partitionSpec() + + + self.state = 662 + self.match(SqlBaseParser.SET) + self.state = 663 + self.match(SqlBaseParser.SERDEPROPERTIES) + self.state = 664 + self.propertyList() + pass + + elif la_ == 29: + localctx = SqlBaseParser.AddTablePartitionContext(self, localctx) + self.enterOuterAlt(localctx, 29) + self.state = 666 + self.match(SqlBaseParser.ALTER) + self.state = 667 + _la = self._input.LA(1) + if not(_la==258 or _la==296): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 668 + self.multipartIdentifier() + self.state = 669 + self.match(SqlBaseParser.ADD) + self.state = 673 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==119: + self.state = 670 + self.match(SqlBaseParser.IF) + self.state = 671 + self.match(SqlBaseParser.NOT) + self.state = 672 + self.match(SqlBaseParser.EXISTS) + + + self.state = 676 + self._errHandler.sync(self) + _la = self._input.LA(1) + while True: + self.state = 675 + self.partitionSpecLocation() + self.state = 678 + self._errHandler.sync(self) + _la = self._input.LA(1) + if not (_la==190): + break + + pass + + elif la_ == 30: + localctx = SqlBaseParser.RenameTablePartitionContext(self, localctx) + self.enterOuterAlt(localctx, 30) + self.state = 680 + self.match(SqlBaseParser.ALTER) + self.state = 681 + self.match(SqlBaseParser.TABLE) + self.state = 682 + self.multipartIdentifier() + self.state = 683 + localctx.from_ = self.partitionSpec() + self.state = 684 + self.match(SqlBaseParser.RENAME) + self.state = 685 + self.match(SqlBaseParser.TO) + self.state = 686 + localctx.to = self.partitionSpec() + pass + + elif la_ == 31: + localctx = SqlBaseParser.DropTablePartitionsContext(self, localctx) + self.enterOuterAlt(localctx, 31) + self.state = 688 + self.match(SqlBaseParser.ALTER) + self.state = 689 + _la = self._input.LA(1) + if not(_la==258 or _la==296): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 690 + self.multipartIdentifier() + self.state = 691 + self.match(SqlBaseParser.DROP) + self.state = 694 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==119: + self.state = 692 + self.match(SqlBaseParser.IF) + self.state = 693 + self.match(SqlBaseParser.EXISTS) + + + self.state = 696 + self.partitionSpec() + self.state = 701 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 697 + self.match(SqlBaseParser.COMMA) + self.state = 698 + self.partitionSpec() + self.state = 703 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 705 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==203: + self.state = 704 + self.match(SqlBaseParser.PURGE) + + + pass + + elif la_ == 32: + localctx = SqlBaseParser.SetTableLocationContext(self, localctx) + self.enterOuterAlt(localctx, 32) + self.state = 707 + self.match(SqlBaseParser.ALTER) + self.state = 708 + self.match(SqlBaseParser.TABLE) + self.state = 709 + self.multipartIdentifier() + self.state = 711 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 710 + self.partitionSpec() + + + self.state = 713 + self.match(SqlBaseParser.SET) + self.state = 714 + self.locationSpec() + pass + + elif la_ == 33: + localctx = SqlBaseParser.RecoverPartitionsContext(self, localctx) + self.enterOuterAlt(localctx, 33) + self.state = 716 + self.match(SqlBaseParser.ALTER) + self.state = 717 + self.match(SqlBaseParser.TABLE) + self.state = 718 + self.multipartIdentifier() + self.state = 719 + self.match(SqlBaseParser.RECOVER) + self.state = 720 + self.match(SqlBaseParser.PARTITIONS) + pass + + elif la_ == 34: + localctx = SqlBaseParser.DropTableContext(self, localctx) + self.enterOuterAlt(localctx, 34) + self.state = 722 + self.match(SqlBaseParser.DROP) + self.state = 723 + self.match(SqlBaseParser.TABLE) + self.state = 726 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,44,self._ctx) + if la_ == 1: + self.state = 724 + self.match(SqlBaseParser.IF) + self.state = 725 + self.match(SqlBaseParser.EXISTS) + + + self.state = 728 + self.multipartIdentifier() + self.state = 730 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==203: + self.state = 729 + self.match(SqlBaseParser.PURGE) + + + pass + + elif la_ == 35: + localctx = SqlBaseParser.DropViewContext(self, localctx) + self.enterOuterAlt(localctx, 35) + self.state = 732 + self.match(SqlBaseParser.DROP) + self.state = 733 + self.match(SqlBaseParser.VIEW) + self.state = 736 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,46,self._ctx) + if la_ == 1: + self.state = 734 + self.match(SqlBaseParser.IF) + self.state = 735 + self.match(SqlBaseParser.EXISTS) + + + self.state = 738 + self.multipartIdentifier() + pass + + elif la_ == 36: + localctx = SqlBaseParser.CreateViewContext(self, localctx) + self.enterOuterAlt(localctx, 36) + self.state = 739 + self.match(SqlBaseParser.CREATE) + self.state = 742 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==181: + self.state = 740 + self.match(SqlBaseParser.OR) + self.state = 741 + self.match(SqlBaseParser.REPLACE) + + + self.state = 748 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==112 or _la==263: + self.state = 745 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==112: + self.state = 744 + self.match(SqlBaseParser.GLOBAL) + + + self.state = 747 + self.match(SqlBaseParser.TEMPORARY) + + + self.state = 750 + self.match(SqlBaseParser.VIEW) + self.state = 754 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,50,self._ctx) + if la_ == 1: + self.state = 751 + self.match(SqlBaseParser.IF) + self.state = 752 + self.match(SqlBaseParser.NOT) + self.state = 753 + self.match(SqlBaseParser.EXISTS) + + + self.state = 756 + self.multipartIdentifier() + self.state = 758 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==2: + self.state = 757 + self.identifierCommentList() + + + self.state = 768 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==45 or _la==191 or _la==262: + self.state = 766 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [45]: + self.state = 760 + self.commentSpec() + pass + elif token in [191]: + self.state = 761 + self.match(SqlBaseParser.PARTITIONED) + self.state = 762 + self.match(SqlBaseParser.ON) + self.state = 763 + self.identifierList() + pass + elif token in [262]: + self.state = 764 + self.match(SqlBaseParser.TBLPROPERTIES) + self.state = 765 + self.propertyList() + pass + else: + raise NoViableAltException(self) + + self.state = 770 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 771 + self.match(SqlBaseParser.AS) + self.state = 772 + self.query() + pass + + elif la_ == 37: + localctx = SqlBaseParser.CreateTempViewUsingContext(self, localctx) + self.enterOuterAlt(localctx, 37) + self.state = 774 + self.match(SqlBaseParser.CREATE) + self.state = 777 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==181: + self.state = 775 + self.match(SqlBaseParser.OR) + self.state = 776 + self.match(SqlBaseParser.REPLACE) + + + self.state = 780 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==112: + self.state = 779 + self.match(SqlBaseParser.GLOBAL) + + + self.state = 782 + self.match(SqlBaseParser.TEMPORARY) + self.state = 783 + self.match(SqlBaseParser.VIEW) + self.state = 784 + self.tableIdentifier() + self.state = 789 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==2: + self.state = 785 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 786 + self.colTypeList() + self.state = 787 + self.match(SqlBaseParser.RIGHT_PAREN) + + + self.state = 791 + self.tableProvider() + self.state = 794 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==180: + self.state = 792 + self.match(SqlBaseParser.OPTIONS) + self.state = 793 + self.propertyList() + + + pass + + elif la_ == 38: + localctx = SqlBaseParser.AlterViewQueryContext(self, localctx) + self.enterOuterAlt(localctx, 38) + self.state = 796 + self.match(SqlBaseParser.ALTER) + self.state = 797 + self.match(SqlBaseParser.VIEW) + self.state = 798 + self.multipartIdentifier() + self.state = 800 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==20: + self.state = 799 + self.match(SqlBaseParser.AS) + + + self.state = 802 + self.query() + pass + + elif la_ == 39: + localctx = SqlBaseParser.CreateFunctionContext(self, localctx) + self.enterOuterAlt(localctx, 39) + self.state = 804 + self.match(SqlBaseParser.CREATE) + self.state = 807 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==181: + self.state = 805 + self.match(SqlBaseParser.OR) + self.state = 806 + self.match(SqlBaseParser.REPLACE) + + + self.state = 810 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==263: + self.state = 809 + self.match(SqlBaseParser.TEMPORARY) + + + self.state = 812 + self.match(SqlBaseParser.FUNCTION) + self.state = 816 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,61,self._ctx) + if la_ == 1: + self.state = 813 + self.match(SqlBaseParser.IF) + self.state = 814 + self.match(SqlBaseParser.NOT) + self.state = 815 + self.match(SqlBaseParser.EXISTS) + + + self.state = 818 + self.multipartIdentifier() + self.state = 819 + self.match(SqlBaseParser.AS) + self.state = 820 + localctx.className = self.stringLit() + self.state = 830 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==293: + self.state = 821 + self.match(SqlBaseParser.USING) + self.state = 822 + self.resource() + self.state = 827 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 823 + self.match(SqlBaseParser.COMMA) + self.state = 824 + self.resource() + self.state = 829 + self._errHandler.sync(self) + _la = self._input.LA(1) + + + + pass + + elif la_ == 40: + localctx = SqlBaseParser.DropFunctionContext(self, localctx) + self.enterOuterAlt(localctx, 40) + self.state = 832 + self.match(SqlBaseParser.DROP) + self.state = 834 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==263: + self.state = 833 + self.match(SqlBaseParser.TEMPORARY) + + + self.state = 836 + self.match(SqlBaseParser.FUNCTION) + self.state = 839 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,65,self._ctx) + if la_ == 1: + self.state = 837 + self.match(SqlBaseParser.IF) + self.state = 838 + self.match(SqlBaseParser.EXISTS) + + + self.state = 841 + self.multipartIdentifier() + pass + + elif la_ == 41: + localctx = SqlBaseParser.ExplainContext(self, localctx) + self.enterOuterAlt(localctx, 41) + self.state = 842 + self.match(SqlBaseParser.EXPLAIN) + self.state = 844 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==40 or _la==52 or ((((_la - 93)) & ~0x3f) == 0 and ((1 << (_la - 93)) & 576460752303431681) != 0): + self.state = 843 + _la = self._input.LA(1) + if not(_la==40 or _la==52 or ((((_la - 93)) & ~0x3f) == 0 and ((1 << (_la - 93)) & 576460752303431681) != 0)): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + self.state = 846 + self.statement() + pass + + elif la_ == 42: + localctx = SqlBaseParser.ShowTablesContext(self, localctx) + self.enterOuterAlt(localctx, 42) + self.state = 847 + self.match(SqlBaseParser.SHOW) + self.state = 848 + self.match(SqlBaseParser.TABLES) + self.state = 851 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==107 or _la==122: + self.state = 849 + _la = self._input.LA(1) + if not(_la==107 or _la==122): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 850 + self.multipartIdentifier() + + + self.state = 857 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==142 or _la==330 or _la==331: + self.state = 854 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==142: + self.state = 853 + self.match(SqlBaseParser.LIKE) + + + self.state = 856 + localctx.pattern = self.stringLit() + + + pass + + elif la_ == 43: + localctx = SqlBaseParser.ShowTableExtendedContext(self, localctx) + self.enterOuterAlt(localctx, 43) + self.state = 859 + self.match(SqlBaseParser.SHOW) + self.state = 860 + self.match(SqlBaseParser.TABLE) + self.state = 861 + self.match(SqlBaseParser.EXTENDED) + self.state = 864 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==107 or _la==122: + self.state = 862 + _la = self._input.LA(1) + if not(_la==107 or _la==122): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 863 + localctx.ns = self.multipartIdentifier() + + + self.state = 866 + self.match(SqlBaseParser.LIKE) + self.state = 867 + localctx.pattern = self.stringLit() + self.state = 869 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 868 + self.partitionSpec() + + + pass + + elif la_ == 44: + localctx = SqlBaseParser.ShowTblPropertiesContext(self, localctx) + self.enterOuterAlt(localctx, 44) + self.state = 871 + self.match(SqlBaseParser.SHOW) + self.state = 872 + self.match(SqlBaseParser.TBLPROPERTIES) + self.state = 873 + localctx.table = self.multipartIdentifier() + self.state = 878 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==2: + self.state = 874 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 875 + localctx.key = self.propertyKey() + self.state = 876 + self.match(SqlBaseParser.RIGHT_PAREN) + + + pass + + elif la_ == 45: + localctx = SqlBaseParser.ShowColumnsContext(self, localctx) + self.enterOuterAlt(localctx, 45) + self.state = 880 + self.match(SqlBaseParser.SHOW) + self.state = 881 + self.match(SqlBaseParser.COLUMNS) + self.state = 882 + _la = self._input.LA(1) + if not(_la==107 or _la==122): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 883 + localctx.table = self.multipartIdentifier() + self.state = 886 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==107 or _la==122: + self.state = 884 + _la = self._input.LA(1) + if not(_la==107 or _la==122): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 885 + localctx.ns = self.multipartIdentifier() + + + pass + + elif la_ == 46: + localctx = SqlBaseParser.ShowViewsContext(self, localctx) + self.enterOuterAlt(localctx, 46) + self.state = 888 + self.match(SqlBaseParser.SHOW) + self.state = 889 + self.match(SqlBaseParser.VIEWS) + self.state = 892 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==107 or _la==122: + self.state = 890 + _la = self._input.LA(1) + if not(_la==107 or _la==122): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 891 + self.multipartIdentifier() + + + self.state = 898 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==142 or _la==330 or _la==331: + self.state = 895 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==142: + self.state = 894 + self.match(SqlBaseParser.LIKE) + + + self.state = 897 + localctx.pattern = self.stringLit() + + + pass + + elif la_ == 47: + localctx = SqlBaseParser.ShowPartitionsContext(self, localctx) + self.enterOuterAlt(localctx, 47) + self.state = 900 + self.match(SqlBaseParser.SHOW) + self.state = 901 + self.match(SqlBaseParser.PARTITIONS) + self.state = 902 + self.multipartIdentifier() + self.state = 904 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 903 + self.partitionSpec() + + + pass + + elif la_ == 48: + localctx = SqlBaseParser.ShowFunctionsContext(self, localctx) + self.enterOuterAlt(localctx, 48) + self.state = 906 + self.match(SqlBaseParser.SHOW) + self.state = 908 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,78,self._ctx) + if la_ == 1: + self.state = 907 + self.identifier() + + + self.state = 910 + self.match(SqlBaseParser.FUNCTIONS) + self.state = 913 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,79,self._ctx) + if la_ == 1: + self.state = 911 + _la = self._input.LA(1) + if not(_la==107 or _la==122): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 912 + localctx.ns = self.multipartIdentifier() + + + self.state = 922 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -256) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503599627370495) != 0) or ((((_la - 330)) & ~0x3f) == 0 and ((1 << (_la - 330)) & 6147) != 0): + self.state = 916 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,80,self._ctx) + if la_ == 1: + self.state = 915 + self.match(SqlBaseParser.LIKE) + + + self.state = 920 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,81,self._ctx) + if la_ == 1: + self.state = 918 + localctx.legacy = self.multipartIdentifier() + pass + + elif la_ == 2: + self.state = 919 + localctx.pattern = self.stringLit() + pass + + + + + pass + + elif la_ == 49: + localctx = SqlBaseParser.ShowCreateTableContext(self, localctx) + self.enterOuterAlt(localctx, 49) + self.state = 924 + self.match(SqlBaseParser.SHOW) + self.state = 925 + self.match(SqlBaseParser.CREATE) + self.state = 926 + self.match(SqlBaseParser.TABLE) + self.state = 927 + self.multipartIdentifier() + self.state = 930 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==20: + self.state = 928 + self.match(SqlBaseParser.AS) + self.state = 929 + self.match(SqlBaseParser.SERDE) + + + pass + + elif la_ == 50: + localctx = SqlBaseParser.ShowCurrentNamespaceContext(self, localctx) + self.enterOuterAlt(localctx, 50) + self.state = 932 + self.match(SqlBaseParser.SHOW) + self.state = 933 + self.match(SqlBaseParser.CURRENT) + self.state = 934 + self.namespace() + pass + + elif la_ == 51: + localctx = SqlBaseParser.ShowCatalogsContext(self, localctx) + self.enterOuterAlt(localctx, 51) + self.state = 935 + self.match(SqlBaseParser.SHOW) + self.state = 936 + self.match(SqlBaseParser.CATALOGS) + self.state = 941 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==142 or _la==330 or _la==331: + self.state = 938 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==142: + self.state = 937 + self.match(SqlBaseParser.LIKE) + + + self.state = 940 + localctx.pattern = self.stringLit() + + + pass + + elif la_ == 52: + localctx = SqlBaseParser.DescribeFunctionContext(self, localctx) + self.enterOuterAlt(localctx, 52) + self.state = 943 + _la = self._input.LA(1) + if not(_la==74 or _la==75): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 944 + self.match(SqlBaseParser.FUNCTION) + self.state = 946 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,86,self._ctx) + if la_ == 1: + self.state = 945 + self.match(SqlBaseParser.EXTENDED) + + + self.state = 948 + self.describeFuncName() + pass + + elif la_ == 53: + localctx = SqlBaseParser.DescribeNamespaceContext(self, localctx) + self.enterOuterAlt(localctx, 53) + self.state = 949 + _la = self._input.LA(1) + if not(_la==74 or _la==75): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 950 + self.namespace() + self.state = 952 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,87,self._ctx) + if la_ == 1: + self.state = 951 + self.match(SqlBaseParser.EXTENDED) + + + self.state = 954 + self.multipartIdentifier() + pass + + elif la_ == 54: + localctx = SqlBaseParser.DescribeRelationContext(self, localctx) + self.enterOuterAlt(localctx, 54) + self.state = 956 + _la = self._input.LA(1) + if not(_la==74 or _la==75): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 958 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,88,self._ctx) + if la_ == 1: + self.state = 957 + self.match(SqlBaseParser.TABLE) + + + self.state = 961 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,89,self._ctx) + if la_ == 1: + self.state = 960 + localctx.option = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==93 or _la==106): + localctx.option = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + self.state = 963 + self.multipartIdentifier() + self.state = 965 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,90,self._ctx) + if la_ == 1: + self.state = 964 + self.partitionSpec() + + + self.state = 968 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -256) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503599627370495) != 0) or ((((_la - 331)) & ~0x3f) == 0 and ((1 << (_la - 331)) & 3073) != 0): + self.state = 967 + self.describeColName() + + + pass + + elif la_ == 55: + localctx = SqlBaseParser.DescribeQueryContext(self, localctx) + self.enterOuterAlt(localctx, 55) + self.state = 970 + _la = self._input.LA(1) + if not(_la==74 or _la==75): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 972 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==205: + self.state = 971 + self.match(SqlBaseParser.QUERY) + + + self.state = 974 + self.query() + pass + + elif la_ == 56: + localctx = SqlBaseParser.CommentNamespaceContext(self, localctx) + self.enterOuterAlt(localctx, 56) + self.state = 975 + self.match(SqlBaseParser.COMMENT) + self.state = 976 + self.match(SqlBaseParser.ON) + self.state = 977 + self.namespace() + self.state = 978 + self.multipartIdentifier() + self.state = 979 + self.match(SqlBaseParser.IS) + self.state = 980 + self.comment() + pass + + elif la_ == 57: + localctx = SqlBaseParser.CommentTableContext(self, localctx) + self.enterOuterAlt(localctx, 57) + self.state = 982 + self.match(SqlBaseParser.COMMENT) + self.state = 983 + self.match(SqlBaseParser.ON) + self.state = 984 + self.match(SqlBaseParser.TABLE) + self.state = 985 + self.multipartIdentifier() + self.state = 986 + self.match(SqlBaseParser.IS) + self.state = 987 + self.comment() + pass + + elif la_ == 58: + localctx = SqlBaseParser.RefreshTableContext(self, localctx) + self.enterOuterAlt(localctx, 58) + self.state = 989 + self.match(SqlBaseParser.REFRESH) + self.state = 990 + self.match(SqlBaseParser.TABLE) + self.state = 991 + self.multipartIdentifier() + pass + + elif la_ == 59: + localctx = SqlBaseParser.RefreshFunctionContext(self, localctx) + self.enterOuterAlt(localctx, 59) + self.state = 992 + self.match(SqlBaseParser.REFRESH) + self.state = 993 + self.match(SqlBaseParser.FUNCTION) + self.state = 994 + self.multipartIdentifier() + pass + + elif la_ == 60: + localctx = SqlBaseParser.RefreshResourceContext(self, localctx) + self.enterOuterAlt(localctx, 60) + self.state = 995 + self.match(SqlBaseParser.REFRESH) + self.state = 1003 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,94,self._ctx) + if la_ == 1: + self.state = 996 + self.stringLit() + pass + + elif la_ == 2: + self.state = 1000 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,93,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 997 + self.matchWildcard() + self.state = 1002 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,93,self._ctx) + + pass + + + pass + + elif la_ == 61: + localctx = SqlBaseParser.CacheTableContext(self, localctx) + self.enterOuterAlt(localctx, 61) + self.state = 1005 + self.match(SqlBaseParser.CACHE) + self.state = 1007 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==139: + self.state = 1006 + self.match(SqlBaseParser.LAZY) + + + self.state = 1009 + self.match(SqlBaseParser.TABLE) + self.state = 1010 + self.multipartIdentifier() + self.state = 1013 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==180: + self.state = 1011 + self.match(SqlBaseParser.OPTIONS) + self.state = 1012 + localctx.options = self.propertyList() + + + self.state = 1019 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==2 or _la==20 or _la==107 or _la==154 or ((((_la - 210)) & ~0x3f) == 0 and ((1 << (_la - 210)) & 281474985099265) != 0) or _la==294 or _la==303: + self.state = 1016 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==20: + self.state = 1015 + self.match(SqlBaseParser.AS) + + + self.state = 1018 + self.query() + + + pass + + elif la_ == 62: + localctx = SqlBaseParser.UncacheTableContext(self, localctx) + self.enterOuterAlt(localctx, 62) + self.state = 1021 + self.match(SqlBaseParser.UNCACHE) + self.state = 1022 + self.match(SqlBaseParser.TABLE) + self.state = 1025 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,99,self._ctx) + if la_ == 1: + self.state = 1023 + self.match(SqlBaseParser.IF) + self.state = 1024 + self.match(SqlBaseParser.EXISTS) + + + self.state = 1027 + self.multipartIdentifier() + pass + + elif la_ == 63: + localctx = SqlBaseParser.ClearCacheContext(self, localctx) + self.enterOuterAlt(localctx, 63) + self.state = 1028 + self.match(SqlBaseParser.CLEAR) + self.state = 1029 + self.match(SqlBaseParser.CACHE) + pass + + elif la_ == 64: + localctx = SqlBaseParser.LoadDataContext(self, localctx) + self.enterOuterAlt(localctx, 64) + self.state = 1030 + self.match(SqlBaseParser.LOAD) + self.state = 1031 + self.match(SqlBaseParser.DATA) + self.state = 1033 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==148: + self.state = 1032 + self.match(SqlBaseParser.LOCAL) + + + self.state = 1035 + self.match(SqlBaseParser.INPATH) + self.state = 1036 + localctx.path = self.stringLit() + self.state = 1038 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==189: + self.state = 1037 + self.match(SqlBaseParser.OVERWRITE) + + + self.state = 1040 + self.match(SqlBaseParser.INTO) + self.state = 1041 + self.match(SqlBaseParser.TABLE) + self.state = 1042 + self.multipartIdentifier() + self.state = 1044 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 1043 + self.partitionSpec() + + + pass + + elif la_ == 65: + localctx = SqlBaseParser.TruncateTableContext(self, localctx) + self.enterOuterAlt(localctx, 65) + self.state = 1046 + self.match(SqlBaseParser.TRUNCATE) + self.state = 1047 + self.match(SqlBaseParser.TABLE) + self.state = 1048 + self.multipartIdentifier() + self.state = 1050 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 1049 + self.partitionSpec() + + + pass + + elif la_ == 66: + localctx = SqlBaseParser.RepairTableContext(self, localctx) + self.enterOuterAlt(localctx, 66) + self.state = 1053 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==165: + self.state = 1052 + self.match(SqlBaseParser.MSCK) + + + self.state = 1055 + self.match(SqlBaseParser.REPAIR) + self.state = 1056 + self.match(SqlBaseParser.TABLE) + self.state = 1057 + self.multipartIdentifier() + self.state = 1060 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==8 or _la==82 or _la==255: + self.state = 1058 + localctx.option = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==8 or _la==82 or _la==255): + localctx.option = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 1059 + self.match(SqlBaseParser.PARTITIONS) + + + pass + + elif la_ == 67: + localctx = SqlBaseParser.ManageResourceContext(self, localctx) + self.enterOuterAlt(localctx, 67) + self.state = 1062 + localctx.op = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==8 or _la==146): + localctx.op = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 1063 + self.identifier() + self.state = 1067 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,106,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 1064 + self.matchWildcard() + self.state = 1069 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,106,self._ctx) + + pass + + elif la_ == 68: + localctx = SqlBaseParser.FailNativeCommandContext(self, localctx) + self.enterOuterAlt(localctx, 68) + self.state = 1070 + self.match(SqlBaseParser.SET) + self.state = 1071 + self.match(SqlBaseParser.ROLE) + self.state = 1075 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,107,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 1072 + self.matchWildcard() + self.state = 1077 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,107,self._ctx) + + pass + + elif la_ == 69: + localctx = SqlBaseParser.SetTimeZoneContext(self, localctx) + self.enterOuterAlt(localctx, 69) + self.state = 1078 + self.match(SqlBaseParser.SET) + self.state = 1079 + self.match(SqlBaseParser.TIME) + self.state = 1080 + self.match(SqlBaseParser.ZONE) + self.state = 1081 + self.interval() + pass + + elif la_ == 70: + localctx = SqlBaseParser.SetTimeZoneContext(self, localctx) + self.enterOuterAlt(localctx, 70) + self.state = 1082 + self.match(SqlBaseParser.SET) + self.state = 1083 + self.match(SqlBaseParser.TIME) + self.state = 1084 + self.match(SqlBaseParser.ZONE) + self.state = 1085 + self.timezone() + pass + + elif la_ == 71: + localctx = SqlBaseParser.SetTimeZoneContext(self, localctx) + self.enterOuterAlt(localctx, 71) + self.state = 1086 + self.match(SqlBaseParser.SET) + self.state = 1087 + self.match(SqlBaseParser.TIME) + self.state = 1088 + self.match(SqlBaseParser.ZONE) + self.state = 1092 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,108,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 1089 + self.matchWildcard() + self.state = 1094 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,108,self._ctx) + + pass + + elif la_ == 72: + localctx = SqlBaseParser.SetQuotedConfigurationContext(self, localctx) + self.enterOuterAlt(localctx, 72) + self.state = 1095 + self.match(SqlBaseParser.SET) + self.state = 1096 + self.configKey() + self.state = 1097 + self.match(SqlBaseParser.EQ) + self.state = 1098 + self.configValue() + pass + + elif la_ == 73: + localctx = SqlBaseParser.SetConfigurationContext(self, localctx) + self.enterOuterAlt(localctx, 73) + self.state = 1100 + self.match(SqlBaseParser.SET) + self.state = 1101 + self.configKey() + self.state = 1109 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==308: + self.state = 1102 + self.match(SqlBaseParser.EQ) + self.state = 1106 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,109,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 1103 + self.matchWildcard() + self.state = 1108 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,109,self._ctx) + + + + pass + + elif la_ == 74: + localctx = SqlBaseParser.SetQuotedConfigurationContext(self, localctx) + self.enterOuterAlt(localctx, 74) + self.state = 1111 + self.match(SqlBaseParser.SET) + self.state = 1115 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,111,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 1112 + self.matchWildcard() + self.state = 1117 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,111,self._ctx) + + self.state = 1118 + self.match(SqlBaseParser.EQ) + self.state = 1119 + self.configValue() + pass + + elif la_ == 75: + localctx = SqlBaseParser.SetConfigurationContext(self, localctx) + self.enterOuterAlt(localctx, 75) + self.state = 1120 + self.match(SqlBaseParser.SET) + self.state = 1124 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,112,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 1121 + self.matchWildcard() + self.state = 1126 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,112,self._ctx) + + pass + + elif la_ == 76: + localctx = SqlBaseParser.ResetQuotedConfigurationContext(self, localctx) + self.enterOuterAlt(localctx, 76) + self.state = 1127 + self.match(SqlBaseParser.RESET) + self.state = 1128 + self.configKey() + pass + + elif la_ == 77: + localctx = SqlBaseParser.ResetConfigurationContext(self, localctx) + self.enterOuterAlt(localctx, 77) + self.state = 1129 + self.match(SqlBaseParser.RESET) + self.state = 1133 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,113,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 1130 + self.matchWildcard() + self.state = 1135 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,113,self._ctx) + + pass + + elif la_ == 78: + localctx = SqlBaseParser.CreateIndexContext(self, localctx) + self.enterOuterAlt(localctx, 78) + self.state = 1136 + self.match(SqlBaseParser.CREATE) + self.state = 1137 + self.match(SqlBaseParser.INDEX) + self.state = 1141 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,114,self._ctx) + if la_ == 1: + self.state = 1138 + self.match(SqlBaseParser.IF) + self.state = 1139 + self.match(SqlBaseParser.NOT) + self.state = 1140 + self.match(SqlBaseParser.EXISTS) + + + self.state = 1143 + self.identifier() + self.state = 1144 + self.match(SqlBaseParser.ON) + self.state = 1146 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,115,self._ctx) + if la_ == 1: + self.state = 1145 + self.match(SqlBaseParser.TABLE) + + + self.state = 1148 + self.multipartIdentifier() + self.state = 1151 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==293: + self.state = 1149 + self.match(SqlBaseParser.USING) + self.state = 1150 + localctx.indexType = self.identifier() + + + self.state = 1153 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1154 + localctx.columns = self.multipartIdentifierPropertyList() + self.state = 1155 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 1158 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==180: + self.state = 1156 + self.match(SqlBaseParser.OPTIONS) + self.state = 1157 + localctx.options = self.propertyList() + + + pass + + elif la_ == 79: + localctx = SqlBaseParser.DropIndexContext(self, localctx) + self.enterOuterAlt(localctx, 79) + self.state = 1160 + self.match(SqlBaseParser.DROP) + self.state = 1161 + self.match(SqlBaseParser.INDEX) + self.state = 1164 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,118,self._ctx) + if la_ == 1: + self.state = 1162 + self.match(SqlBaseParser.IF) + self.state = 1163 + self.match(SqlBaseParser.EXISTS) + + + self.state = 1166 + self.identifier() + self.state = 1167 + self.match(SqlBaseParser.ON) + self.state = 1169 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,119,self._ctx) + if la_ == 1: + self.state = 1168 + self.match(SqlBaseParser.TABLE) + + + self.state = 1171 + self.multipartIdentifier() + pass + + elif la_ == 80: + localctx = SqlBaseParser.FailNativeCommandContext(self, localctx) + self.enterOuterAlt(localctx, 80) + self.state = 1173 + self.unsupportedHiveNativeCommands() + self.state = 1177 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,120,self._ctx) + while _alt!=1 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1+1: + self.state = 1174 + self.matchWildcard() + self.state = 1179 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,120,self._ctx) + + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class TimezoneContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def LOCAL(self): + return self.getToken(SqlBaseParser.LOCAL, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_timezone + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTimezone" ): + listener.enterTimezone(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTimezone" ): + listener.exitTimezone(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTimezone" ): + return visitor.visitTimezone(self) + else: + return visitor.visitChildren(self) + + + + + def timezone(self): + + localctx = SqlBaseParser.TimezoneContext(self, self._ctx, self.state) + self.enterRule(localctx, 16, self.RULE_timezone) + try: + self.state = 1184 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [330, 331]: + self.enterOuterAlt(localctx, 1) + self.state = 1182 + self.stringLit() + pass + elif token in [148]: + self.enterOuterAlt(localctx, 2) + self.state = 1183 + self.match(SqlBaseParser.LOCAL) + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ConfigKeyContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def quotedIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.QuotedIdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_configKey + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterConfigKey" ): + listener.enterConfigKey(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitConfigKey" ): + listener.exitConfigKey(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitConfigKey" ): + return visitor.visitConfigKey(self) + else: + return visitor.visitChildren(self) + + + + + def configKey(self): + + localctx = SqlBaseParser.ConfigKeyContext(self, self._ctx, self.state) + self.enterRule(localctx, 18, self.RULE_configKey) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1186 + self.quotedIdentifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ConfigValueContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def backQuotedIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.BackQuotedIdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_configValue + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterConfigValue" ): + listener.enterConfigValue(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitConfigValue" ): + listener.exitConfigValue(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitConfigValue" ): + return visitor.visitConfigValue(self) + else: + return visitor.visitChildren(self) + + + + + def configValue(self): + + localctx = SqlBaseParser.ConfigValueContext(self, self._ctx, self.state) + self.enterRule(localctx, 20, self.RULE_configValue) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1188 + self.backQuotedIdentifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnsupportedHiveNativeCommandsContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.kw1 = None # Token + self.kw2 = None # Token + self.kw3 = None # Token + self.kw4 = None # Token + self.kw5 = None # Token + self.kw6 = None # Token + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + + def ROLE(self): + return self.getToken(SqlBaseParser.ROLE, 0) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + + def GRANT(self): + return self.getToken(SqlBaseParser.GRANT, 0) + + def REVOKE(self): + return self.getToken(SqlBaseParser.REVOKE, 0) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + + def PRINCIPALS(self): + return self.getToken(SqlBaseParser.PRINCIPALS, 0) + + def ROLES(self): + return self.getToken(SqlBaseParser.ROLES, 0) + + def CURRENT(self): + return self.getToken(SqlBaseParser.CURRENT, 0) + + def EXPORT(self): + return self.getToken(SqlBaseParser.EXPORT, 0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + + def IMPORT(self): + return self.getToken(SqlBaseParser.IMPORT, 0) + + def COMPACTIONS(self): + return self.getToken(SqlBaseParser.COMPACTIONS, 0) + + def TRANSACTIONS(self): + return self.getToken(SqlBaseParser.TRANSACTIONS, 0) + + def INDEXES(self): + return self.getToken(SqlBaseParser.INDEXES, 0) + + def LOCKS(self): + return self.getToken(SqlBaseParser.LOCKS, 0) + + def INDEX(self): + return self.getToken(SqlBaseParser.INDEX, 0) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + + def LOCK(self): + return self.getToken(SqlBaseParser.LOCK, 0) + + def DATABASE(self): + return self.getToken(SqlBaseParser.DATABASE, 0) + + def UNLOCK(self): + return self.getToken(SqlBaseParser.UNLOCK, 0) + + def TEMPORARY(self): + return self.getToken(SqlBaseParser.TEMPORARY, 0) + + def MACRO(self): + return self.getToken(SqlBaseParser.MACRO, 0) + + def tableIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.TableIdentifierContext,0) + + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def CLUSTERED(self): + return self.getToken(SqlBaseParser.CLUSTERED, 0) + + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + + def SORTED(self): + return self.getToken(SqlBaseParser.SORTED, 0) + + def SKEWED(self): + return self.getToken(SqlBaseParser.SKEWED, 0) + + def STORED(self): + return self.getToken(SqlBaseParser.STORED, 0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def DIRECTORIES(self): + return self.getToken(SqlBaseParser.DIRECTORIES, 0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + + def LOCATION(self): + return self.getToken(SqlBaseParser.LOCATION, 0) + + def EXCHANGE(self): + return self.getToken(SqlBaseParser.EXCHANGE, 0) + + def PARTITION(self): + return self.getToken(SqlBaseParser.PARTITION, 0) + + def ARCHIVE(self): + return self.getToken(SqlBaseParser.ARCHIVE, 0) + + def UNARCHIVE(self): + return self.getToken(SqlBaseParser.UNARCHIVE, 0) + + def TOUCH(self): + return self.getToken(SqlBaseParser.TOUCH, 0) + + def COMPACT(self): + return self.getToken(SqlBaseParser.COMPACT, 0) + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + + def CONCATENATE(self): + return self.getToken(SqlBaseParser.CONCATENATE, 0) + + def FILEFORMAT(self): + return self.getToken(SqlBaseParser.FILEFORMAT, 0) + + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + + def COLUMNS(self): + return self.getToken(SqlBaseParser.COLUMNS, 0) + + def START(self): + return self.getToken(SqlBaseParser.START, 0) + + def TRANSACTION(self): + return self.getToken(SqlBaseParser.TRANSACTION, 0) + + def COMMIT(self): + return self.getToken(SqlBaseParser.COMMIT, 0) + + def ROLLBACK(self): + return self.getToken(SqlBaseParser.ROLLBACK, 0) + + def DFS(self): + return self.getToken(SqlBaseParser.DFS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_unsupportedHiveNativeCommands + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnsupportedHiveNativeCommands" ): + listener.enterUnsupportedHiveNativeCommands(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnsupportedHiveNativeCommands" ): + listener.exitUnsupportedHiveNativeCommands(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnsupportedHiveNativeCommands" ): + return visitor.visitUnsupportedHiveNativeCommands(self) + else: + return visitor.visitChildren(self) + + + + + def unsupportedHiveNativeCommands(self): + + localctx = SqlBaseParser.UnsupportedHiveNativeCommandsContext(self, self._ctx, self.state) + self.enterRule(localctx, 22, self.RULE_unsupportedHiveNativeCommands) + self._la = 0 # Token type + try: + self.state = 1358 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,130,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 1190 + localctx.kw1 = self.match(SqlBaseParser.CREATE) + self.state = 1191 + localctx.kw2 = self.match(SqlBaseParser.ROLE) + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 1192 + localctx.kw1 = self.match(SqlBaseParser.DROP) + self.state = 1193 + localctx.kw2 = self.match(SqlBaseParser.ROLE) + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 1194 + localctx.kw1 = self.match(SqlBaseParser.GRANT) + self.state = 1196 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,123,self._ctx) + if la_ == 1: + self.state = 1195 + localctx.kw2 = self.match(SqlBaseParser.ROLE) + + + pass + + elif la_ == 4: + self.enterOuterAlt(localctx, 4) + self.state = 1198 + localctx.kw1 = self.match(SqlBaseParser.REVOKE) + self.state = 1200 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,124,self._ctx) + if la_ == 1: + self.state = 1199 + localctx.kw2 = self.match(SqlBaseParser.ROLE) + + + pass + + elif la_ == 5: + self.enterOuterAlt(localctx, 5) + self.state = 1202 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1203 + localctx.kw2 = self.match(SqlBaseParser.GRANT) + pass + + elif la_ == 6: + self.enterOuterAlt(localctx, 6) + self.state = 1204 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1205 + localctx.kw2 = self.match(SqlBaseParser.ROLE) + self.state = 1207 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,125,self._ctx) + if la_ == 1: + self.state = 1206 + localctx.kw3 = self.match(SqlBaseParser.GRANT) + + + pass + + elif la_ == 7: + self.enterOuterAlt(localctx, 7) + self.state = 1209 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1210 + localctx.kw2 = self.match(SqlBaseParser.PRINCIPALS) + pass + + elif la_ == 8: + self.enterOuterAlt(localctx, 8) + self.state = 1211 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1212 + localctx.kw2 = self.match(SqlBaseParser.ROLES) + pass + + elif la_ == 9: + self.enterOuterAlt(localctx, 9) + self.state = 1213 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1214 + localctx.kw2 = self.match(SqlBaseParser.CURRENT) + self.state = 1215 + localctx.kw3 = self.match(SqlBaseParser.ROLES) + pass + + elif la_ == 10: + self.enterOuterAlt(localctx, 10) + self.state = 1216 + localctx.kw1 = self.match(SqlBaseParser.EXPORT) + self.state = 1217 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + pass + + elif la_ == 11: + self.enterOuterAlt(localctx, 11) + self.state = 1218 + localctx.kw1 = self.match(SqlBaseParser.IMPORT) + self.state = 1219 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + pass + + elif la_ == 12: + self.enterOuterAlt(localctx, 12) + self.state = 1220 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1221 + localctx.kw2 = self.match(SqlBaseParser.COMPACTIONS) + pass + + elif la_ == 13: + self.enterOuterAlt(localctx, 13) + self.state = 1222 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1223 + localctx.kw2 = self.match(SqlBaseParser.CREATE) + self.state = 1224 + localctx.kw3 = self.match(SqlBaseParser.TABLE) + pass + + elif la_ == 14: + self.enterOuterAlt(localctx, 14) + self.state = 1225 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1226 + localctx.kw2 = self.match(SqlBaseParser.TRANSACTIONS) + pass + + elif la_ == 15: + self.enterOuterAlt(localctx, 15) + self.state = 1227 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1228 + localctx.kw2 = self.match(SqlBaseParser.INDEXES) + pass + + elif la_ == 16: + self.enterOuterAlt(localctx, 16) + self.state = 1229 + localctx.kw1 = self.match(SqlBaseParser.SHOW) + self.state = 1230 + localctx.kw2 = self.match(SqlBaseParser.LOCKS) + pass + + elif la_ == 17: + self.enterOuterAlt(localctx, 17) + self.state = 1231 + localctx.kw1 = self.match(SqlBaseParser.CREATE) + self.state = 1232 + localctx.kw2 = self.match(SqlBaseParser.INDEX) + pass + + elif la_ == 18: + self.enterOuterAlt(localctx, 18) + self.state = 1233 + localctx.kw1 = self.match(SqlBaseParser.DROP) + self.state = 1234 + localctx.kw2 = self.match(SqlBaseParser.INDEX) + pass + + elif la_ == 19: + self.enterOuterAlt(localctx, 19) + self.state = 1235 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1236 + localctx.kw2 = self.match(SqlBaseParser.INDEX) + pass + + elif la_ == 20: + self.enterOuterAlt(localctx, 20) + self.state = 1237 + localctx.kw1 = self.match(SqlBaseParser.LOCK) + self.state = 1238 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + pass + + elif la_ == 21: + self.enterOuterAlt(localctx, 21) + self.state = 1239 + localctx.kw1 = self.match(SqlBaseParser.LOCK) + self.state = 1240 + localctx.kw2 = self.match(SqlBaseParser.DATABASE) + pass + + elif la_ == 22: + self.enterOuterAlt(localctx, 22) + self.state = 1241 + localctx.kw1 = self.match(SqlBaseParser.UNLOCK) + self.state = 1242 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + pass + + elif la_ == 23: + self.enterOuterAlt(localctx, 23) + self.state = 1243 + localctx.kw1 = self.match(SqlBaseParser.UNLOCK) + self.state = 1244 + localctx.kw2 = self.match(SqlBaseParser.DATABASE) + pass + + elif la_ == 24: + self.enterOuterAlt(localctx, 24) + self.state = 1245 + localctx.kw1 = self.match(SqlBaseParser.CREATE) + self.state = 1246 + localctx.kw2 = self.match(SqlBaseParser.TEMPORARY) + self.state = 1247 + localctx.kw3 = self.match(SqlBaseParser.MACRO) + pass + + elif la_ == 25: + self.enterOuterAlt(localctx, 25) + self.state = 1248 + localctx.kw1 = self.match(SqlBaseParser.DROP) + self.state = 1249 + localctx.kw2 = self.match(SqlBaseParser.TEMPORARY) + self.state = 1250 + localctx.kw3 = self.match(SqlBaseParser.MACRO) + pass + + elif la_ == 26: + self.enterOuterAlt(localctx, 26) + self.state = 1251 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1252 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1253 + self.tableIdentifier() + self.state = 1254 + localctx.kw3 = self.match(SqlBaseParser.NOT) + self.state = 1255 + localctx.kw4 = self.match(SqlBaseParser.CLUSTERED) + pass + + elif la_ == 27: + self.enterOuterAlt(localctx, 27) + self.state = 1257 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1258 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1259 + self.tableIdentifier() + self.state = 1260 + localctx.kw3 = self.match(SqlBaseParser.CLUSTERED) + self.state = 1261 + localctx.kw4 = self.match(SqlBaseParser.BY) + pass + + elif la_ == 28: + self.enterOuterAlt(localctx, 28) + self.state = 1263 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1264 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1265 + self.tableIdentifier() + self.state = 1266 + localctx.kw3 = self.match(SqlBaseParser.NOT) + self.state = 1267 + localctx.kw4 = self.match(SqlBaseParser.SORTED) + pass + + elif la_ == 29: + self.enterOuterAlt(localctx, 29) + self.state = 1269 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1270 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1271 + self.tableIdentifier() + self.state = 1272 + localctx.kw3 = self.match(SqlBaseParser.SKEWED) + self.state = 1273 + localctx.kw4 = self.match(SqlBaseParser.BY) + pass + + elif la_ == 30: + self.enterOuterAlt(localctx, 30) + self.state = 1275 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1276 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1277 + self.tableIdentifier() + self.state = 1278 + localctx.kw3 = self.match(SqlBaseParser.NOT) + self.state = 1279 + localctx.kw4 = self.match(SqlBaseParser.SKEWED) + pass + + elif la_ == 31: + self.enterOuterAlt(localctx, 31) + self.state = 1281 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1282 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1283 + self.tableIdentifier() + self.state = 1284 + localctx.kw3 = self.match(SqlBaseParser.NOT) + self.state = 1285 + localctx.kw4 = self.match(SqlBaseParser.STORED) + self.state = 1286 + localctx.kw5 = self.match(SqlBaseParser.AS) + self.state = 1287 + localctx.kw6 = self.match(SqlBaseParser.DIRECTORIES) + pass + + elif la_ == 32: + self.enterOuterAlt(localctx, 32) + self.state = 1289 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1290 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1291 + self.tableIdentifier() + self.state = 1292 + localctx.kw3 = self.match(SqlBaseParser.SET) + self.state = 1293 + localctx.kw4 = self.match(SqlBaseParser.SKEWED) + self.state = 1294 + localctx.kw5 = self.match(SqlBaseParser.LOCATION) + pass + + elif la_ == 33: + self.enterOuterAlt(localctx, 33) + self.state = 1296 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1297 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1298 + self.tableIdentifier() + self.state = 1299 + localctx.kw3 = self.match(SqlBaseParser.EXCHANGE) + self.state = 1300 + localctx.kw4 = self.match(SqlBaseParser.PARTITION) + pass + + elif la_ == 34: + self.enterOuterAlt(localctx, 34) + self.state = 1302 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1303 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1304 + self.tableIdentifier() + self.state = 1305 + localctx.kw3 = self.match(SqlBaseParser.ARCHIVE) + self.state = 1306 + localctx.kw4 = self.match(SqlBaseParser.PARTITION) + pass + + elif la_ == 35: + self.enterOuterAlt(localctx, 35) + self.state = 1308 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1309 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1310 + self.tableIdentifier() + self.state = 1311 + localctx.kw3 = self.match(SqlBaseParser.UNARCHIVE) + self.state = 1312 + localctx.kw4 = self.match(SqlBaseParser.PARTITION) + pass + + elif la_ == 36: + self.enterOuterAlt(localctx, 36) + self.state = 1314 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1315 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1316 + self.tableIdentifier() + self.state = 1317 + localctx.kw3 = self.match(SqlBaseParser.TOUCH) + pass + + elif la_ == 37: + self.enterOuterAlt(localctx, 37) + self.state = 1319 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1320 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1321 + self.tableIdentifier() + self.state = 1323 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 1322 + self.partitionSpec() + + + self.state = 1325 + localctx.kw3 = self.match(SqlBaseParser.COMPACT) + pass + + elif la_ == 38: + self.enterOuterAlt(localctx, 38) + self.state = 1327 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1328 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1329 + self.tableIdentifier() + self.state = 1331 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 1330 + self.partitionSpec() + + + self.state = 1333 + localctx.kw3 = self.match(SqlBaseParser.CONCATENATE) + pass + + elif la_ == 39: + self.enterOuterAlt(localctx, 39) + self.state = 1335 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1336 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1337 + self.tableIdentifier() + self.state = 1339 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 1338 + self.partitionSpec() + + + self.state = 1341 + localctx.kw3 = self.match(SqlBaseParser.SET) + self.state = 1342 + localctx.kw4 = self.match(SqlBaseParser.FILEFORMAT) + pass + + elif la_ == 40: + self.enterOuterAlt(localctx, 40) + self.state = 1344 + localctx.kw1 = self.match(SqlBaseParser.ALTER) + self.state = 1345 + localctx.kw2 = self.match(SqlBaseParser.TABLE) + self.state = 1346 + self.tableIdentifier() + self.state = 1348 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 1347 + self.partitionSpec() + + + self.state = 1350 + localctx.kw3 = self.match(SqlBaseParser.REPLACE) + self.state = 1351 + localctx.kw4 = self.match(SqlBaseParser.COLUMNS) + pass + + elif la_ == 41: + self.enterOuterAlt(localctx, 41) + self.state = 1353 + localctx.kw1 = self.match(SqlBaseParser.START) + self.state = 1354 + localctx.kw2 = self.match(SqlBaseParser.TRANSACTION) + pass + + elif la_ == 42: + self.enterOuterAlt(localctx, 42) + self.state = 1355 + localctx.kw1 = self.match(SqlBaseParser.COMMIT) + pass + + elif la_ == 43: + self.enterOuterAlt(localctx, 43) + self.state = 1356 + localctx.kw1 = self.match(SqlBaseParser.ROLLBACK) + pass + + elif la_ == 44: + self.enterOuterAlt(localctx, 44) + self.state = 1357 + localctx.kw1 = self.match(SqlBaseParser.DFS) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class CreateTableHeaderContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def TEMPORARY(self): + return self.getToken(SqlBaseParser.TEMPORARY, 0) + + def EXTERNAL(self): + return self.getToken(SqlBaseParser.EXTERNAL, 0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_createTableHeader + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateTableHeader" ): + listener.enterCreateTableHeader(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateTableHeader" ): + listener.exitCreateTableHeader(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateTableHeader" ): + return visitor.visitCreateTableHeader(self) + else: + return visitor.visitChildren(self) + + + + + def createTableHeader(self): + + localctx = SqlBaseParser.CreateTableHeaderContext(self, self._ctx, self.state) + self.enterRule(localctx, 24, self.RULE_createTableHeader) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1360 + self.match(SqlBaseParser.CREATE) + self.state = 1362 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==263: + self.state = 1361 + self.match(SqlBaseParser.TEMPORARY) + + + self.state = 1365 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==94: + self.state = 1364 + self.match(SqlBaseParser.EXTERNAL) + + + self.state = 1367 + self.match(SqlBaseParser.TABLE) + self.state = 1371 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,133,self._ctx) + if la_ == 1: + self.state = 1368 + self.match(SqlBaseParser.IF) + self.state = 1369 + self.match(SqlBaseParser.NOT) + self.state = 1370 + self.match(SqlBaseParser.EXISTS) + + + self.state = 1373 + self.multipartIdentifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ReplaceTableHeaderContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + + def OR(self): + return self.getToken(SqlBaseParser.OR, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_replaceTableHeader + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterReplaceTableHeader" ): + listener.enterReplaceTableHeader(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitReplaceTableHeader" ): + listener.exitReplaceTableHeader(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitReplaceTableHeader" ): + return visitor.visitReplaceTableHeader(self) + else: + return visitor.visitChildren(self) + + + + + def replaceTableHeader(self): + + localctx = SqlBaseParser.ReplaceTableHeaderContext(self, self._ctx, self.state) + self.enterRule(localctx, 26, self.RULE_replaceTableHeader) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1377 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==53: + self.state = 1375 + self.match(SqlBaseParser.CREATE) + self.state = 1376 + self.match(SqlBaseParser.OR) + + + self.state = 1379 + self.match(SqlBaseParser.REPLACE) + self.state = 1380 + self.match(SqlBaseParser.TABLE) + self.state = 1381 + self.multipartIdentifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class BucketSpecContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def CLUSTERED(self): + return self.getToken(SqlBaseParser.CLUSTERED, 0) + + def BY(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.BY) + else: + return self.getToken(SqlBaseParser.BY, i) + + def identifierList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,0) + + + def INTO(self): + return self.getToken(SqlBaseParser.INTO, 0) + + def INTEGER_VALUE(self): + return self.getToken(SqlBaseParser.INTEGER_VALUE, 0) + + def BUCKETS(self): + return self.getToken(SqlBaseParser.BUCKETS, 0) + + def SORTED(self): + return self.getToken(SqlBaseParser.SORTED, 0) + + def orderedIdentifierList(self): + return self.getTypedRuleContext(SqlBaseParser.OrderedIdentifierListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_bucketSpec + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterBucketSpec" ): + listener.enterBucketSpec(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitBucketSpec" ): + listener.exitBucketSpec(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitBucketSpec" ): + return visitor.visitBucketSpec(self) + else: + return visitor.visitChildren(self) + + + + + def bucketSpec(self): + + localctx = SqlBaseParser.BucketSpecContext(self, self._ctx, self.state) + self.enterRule(localctx, 28, self.RULE_bucketSpec) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1383 + self.match(SqlBaseParser.CLUSTERED) + self.state = 1384 + self.match(SqlBaseParser.BY) + self.state = 1385 + self.identifierList() + self.state = 1389 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==246: + self.state = 1386 + self.match(SqlBaseParser.SORTED) + self.state = 1387 + self.match(SqlBaseParser.BY) + self.state = 1388 + self.orderedIdentifierList() + + + self.state = 1391 + self.match(SqlBaseParser.INTO) + self.state = 1392 + self.match(SqlBaseParser.INTEGER_VALUE) + self.state = 1393 + self.match(SqlBaseParser.BUCKETS) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SkewSpecContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def SKEWED(self): + return self.getToken(SqlBaseParser.SKEWED, 0) + + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + + def identifierList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,0) + + + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + + def constantList(self): + return self.getTypedRuleContext(SqlBaseParser.ConstantListContext,0) + + + def nestedConstantList(self): + return self.getTypedRuleContext(SqlBaseParser.NestedConstantListContext,0) + + + def STORED(self): + return self.getToken(SqlBaseParser.STORED, 0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def DIRECTORIES(self): + return self.getToken(SqlBaseParser.DIRECTORIES, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_skewSpec + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSkewSpec" ): + listener.enterSkewSpec(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSkewSpec" ): + listener.exitSkewSpec(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSkewSpec" ): + return visitor.visitSkewSpec(self) + else: + return visitor.visitChildren(self) + + + + + def skewSpec(self): + + localctx = SqlBaseParser.SkewSpecContext(self, self._ctx, self.state) + self.enterRule(localctx, 30, self.RULE_skewSpec) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1395 + self.match(SqlBaseParser.SKEWED) + self.state = 1396 + self.match(SqlBaseParser.BY) + self.state = 1397 + self.identifierList() + self.state = 1398 + self.match(SqlBaseParser.ON) + self.state = 1401 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,136,self._ctx) + if la_ == 1: + self.state = 1399 + self.constantList() + pass + + elif la_ == 2: + self.state = 1400 + self.nestedConstantList() + pass + + + self.state = 1406 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,137,self._ctx) + if la_ == 1: + self.state = 1403 + self.match(SqlBaseParser.STORED) + self.state = 1404 + self.match(SqlBaseParser.AS) + self.state = 1405 + self.match(SqlBaseParser.DIRECTORIES) + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class LocationSpecContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LOCATION(self): + return self.getToken(SqlBaseParser.LOCATION, 0) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_locationSpec + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterLocationSpec" ): + listener.enterLocationSpec(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitLocationSpec" ): + listener.exitLocationSpec(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitLocationSpec" ): + return visitor.visitLocationSpec(self) + else: + return visitor.visitChildren(self) + + + + + def locationSpec(self): + + localctx = SqlBaseParser.LocationSpecContext(self, self._ctx, self.state) + self.enterRule(localctx, 32, self.RULE_locationSpec) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1408 + self.match(SqlBaseParser.LOCATION) + self.state = 1409 + self.stringLit() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class CommentSpecContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def COMMENT(self): + return self.getToken(SqlBaseParser.COMMENT, 0) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_commentSpec + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCommentSpec" ): + listener.enterCommentSpec(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCommentSpec" ): + listener.exitCommentSpec(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCommentSpec" ): + return visitor.visitCommentSpec(self) + else: + return visitor.visitChildren(self) + + + + + def commentSpec(self): + + localctx = SqlBaseParser.CommentSpecContext(self, self._ctx, self.state) + self.enterRule(localctx, 34, self.RULE_commentSpec) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1411 + self.match(SqlBaseParser.COMMENT) + self.state = 1412 + self.stringLit() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class InsertIntoContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_insertInto + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class InsertIntoReplaceWhereContext(InsertIntoContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.InsertIntoContext + super().__init__(parser) + self.copyFrom(ctx) + + def INSERT(self): + return self.getToken(SqlBaseParser.INSERT, 0) + def INTO(self): + return self.getToken(SqlBaseParser.INTO, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + def whereClause(self): + return self.getTypedRuleContext(SqlBaseParser.WhereClauseContext,0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInsertIntoReplaceWhere" ): + listener.enterInsertIntoReplaceWhere(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInsertIntoReplaceWhere" ): + listener.exitInsertIntoReplaceWhere(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInsertIntoReplaceWhere" ): + return visitor.visitInsertIntoReplaceWhere(self) + else: + return visitor.visitChildren(self) + + + class InsertOverwriteHiveDirContext(InsertIntoContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.InsertIntoContext + super().__init__(parser) + self.path = None # StringLitContext + self.copyFrom(ctx) + + def INSERT(self): + return self.getToken(SqlBaseParser.INSERT, 0) + def OVERWRITE(self): + return self.getToken(SqlBaseParser.OVERWRITE, 0) + def DIRECTORY(self): + return self.getToken(SqlBaseParser.DIRECTORY, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def LOCAL(self): + return self.getToken(SqlBaseParser.LOCAL, 0) + def rowFormat(self): + return self.getTypedRuleContext(SqlBaseParser.RowFormatContext,0) + + def createFileFormat(self): + return self.getTypedRuleContext(SqlBaseParser.CreateFileFormatContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInsertOverwriteHiveDir" ): + listener.enterInsertOverwriteHiveDir(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInsertOverwriteHiveDir" ): + listener.exitInsertOverwriteHiveDir(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInsertOverwriteHiveDir" ): + return visitor.visitInsertOverwriteHiveDir(self) + else: + return visitor.visitChildren(self) + + + class InsertOverwriteDirContext(InsertIntoContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.InsertIntoContext + super().__init__(parser) + self.path = None # StringLitContext + self.options = None # PropertyListContext + self.copyFrom(ctx) + + def INSERT(self): + return self.getToken(SqlBaseParser.INSERT, 0) + def OVERWRITE(self): + return self.getToken(SqlBaseParser.OVERWRITE, 0) + def DIRECTORY(self): + return self.getToken(SqlBaseParser.DIRECTORY, 0) + def tableProvider(self): + return self.getTypedRuleContext(SqlBaseParser.TableProviderContext,0) + + def LOCAL(self): + return self.getToken(SqlBaseParser.LOCAL, 0) + def OPTIONS(self): + return self.getToken(SqlBaseParser.OPTIONS, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInsertOverwriteDir" ): + listener.enterInsertOverwriteDir(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInsertOverwriteDir" ): + listener.exitInsertOverwriteDir(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInsertOverwriteDir" ): + return visitor.visitInsertOverwriteDir(self) + else: + return visitor.visitChildren(self) + + + class InsertOverwriteTableContext(InsertIntoContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.InsertIntoContext + super().__init__(parser) + self.copyFrom(ctx) + + def INSERT(self): + return self.getToken(SqlBaseParser.INSERT, 0) + def OVERWRITE(self): + return self.getToken(SqlBaseParser.OVERWRITE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + def identifierList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInsertOverwriteTable" ): + listener.enterInsertOverwriteTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInsertOverwriteTable" ): + listener.exitInsertOverwriteTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInsertOverwriteTable" ): + return visitor.visitInsertOverwriteTable(self) + else: + return visitor.visitChildren(self) + + + class InsertIntoTableContext(InsertIntoContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.InsertIntoContext + super().__init__(parser) + self.copyFrom(ctx) + + def INSERT(self): + return self.getToken(SqlBaseParser.INSERT, 0) + def INTO(self): + return self.getToken(SqlBaseParser.INTO, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def identifierList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInsertIntoTable" ): + listener.enterInsertIntoTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInsertIntoTable" ): + listener.exitInsertIntoTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInsertIntoTable" ): + return visitor.visitInsertIntoTable(self) + else: + return visitor.visitChildren(self) + + + + def insertInto(self): + + localctx = SqlBaseParser.InsertIntoContext(self, self._ctx, self.state) + self.enterRule(localctx, 36, self.RULE_insertInto) + self._la = 0 # Token type + try: + self.state = 1484 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,153,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.InsertOverwriteTableContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 1414 + self.match(SqlBaseParser.INSERT) + self.state = 1415 + self.match(SqlBaseParser.OVERWRITE) + self.state = 1417 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,138,self._ctx) + if la_ == 1: + self.state = 1416 + self.match(SqlBaseParser.TABLE) + + + self.state = 1419 + self.multipartIdentifier() + self.state = 1426 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 1420 + self.partitionSpec() + self.state = 1424 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==119: + self.state = 1421 + self.match(SqlBaseParser.IF) + self.state = 1422 + self.match(SqlBaseParser.NOT) + self.state = 1423 + self.match(SqlBaseParser.EXISTS) + + + + + self.state = 1429 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,141,self._ctx) + if la_ == 1: + self.state = 1428 + self.identifierList() + + + pass + + elif la_ == 2: + localctx = SqlBaseParser.InsertIntoTableContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 1431 + self.match(SqlBaseParser.INSERT) + self.state = 1432 + self.match(SqlBaseParser.INTO) + self.state = 1434 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,142,self._ctx) + if la_ == 1: + self.state = 1433 + self.match(SqlBaseParser.TABLE) + + + self.state = 1436 + self.multipartIdentifier() + self.state = 1438 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==190: + self.state = 1437 + self.partitionSpec() + + + self.state = 1443 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==119: + self.state = 1440 + self.match(SqlBaseParser.IF) + self.state = 1441 + self.match(SqlBaseParser.NOT) + self.state = 1442 + self.match(SqlBaseParser.EXISTS) + + + self.state = 1446 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,145,self._ctx) + if la_ == 1: + self.state = 1445 + self.identifierList() + + + pass + + elif la_ == 3: + localctx = SqlBaseParser.InsertIntoReplaceWhereContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 1448 + self.match(SqlBaseParser.INSERT) + self.state = 1449 + self.match(SqlBaseParser.INTO) + self.state = 1451 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,146,self._ctx) + if la_ == 1: + self.state = 1450 + self.match(SqlBaseParser.TABLE) + + + self.state = 1453 + self.multipartIdentifier() + self.state = 1454 + self.match(SqlBaseParser.REPLACE) + self.state = 1455 + self.whereClause() + pass + + elif la_ == 4: + localctx = SqlBaseParser.InsertOverwriteHiveDirContext(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 1457 + self.match(SqlBaseParser.INSERT) + self.state = 1458 + self.match(SqlBaseParser.OVERWRITE) + self.state = 1460 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==148: + self.state = 1459 + self.match(SqlBaseParser.LOCAL) + + + self.state = 1462 + self.match(SqlBaseParser.DIRECTORY) + self.state = 1463 + localctx.path = self.stringLit() + self.state = 1465 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==227: + self.state = 1464 + self.rowFormat() + + + self.state = 1468 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==250: + self.state = 1467 + self.createFileFormat() + + + pass + + elif la_ == 5: + localctx = SqlBaseParser.InsertOverwriteDirContext(self, localctx) + self.enterOuterAlt(localctx, 5) + self.state = 1470 + self.match(SqlBaseParser.INSERT) + self.state = 1471 + self.match(SqlBaseParser.OVERWRITE) + self.state = 1473 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==148: + self.state = 1472 + self.match(SqlBaseParser.LOCAL) + + + self.state = 1475 + self.match(SqlBaseParser.DIRECTORY) + self.state = 1477 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==330 or _la==331: + self.state = 1476 + localctx.path = self.stringLit() + + + self.state = 1479 + self.tableProvider() + self.state = 1482 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==180: + self.state = 1480 + self.match(SqlBaseParser.OPTIONS) + self.state = 1481 + localctx.options = self.propertyList() + + + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PartitionSpecLocationContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def partitionSpec(self): + return self.getTypedRuleContext(SqlBaseParser.PartitionSpecContext,0) + + + def locationSpec(self): + return self.getTypedRuleContext(SqlBaseParser.LocationSpecContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_partitionSpecLocation + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPartitionSpecLocation" ): + listener.enterPartitionSpecLocation(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPartitionSpecLocation" ): + listener.exitPartitionSpecLocation(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPartitionSpecLocation" ): + return visitor.visitPartitionSpecLocation(self) + else: + return visitor.visitChildren(self) + + + + + def partitionSpecLocation(self): + + localctx = SqlBaseParser.PartitionSpecLocationContext(self, self._ctx, self.state) + self.enterRule(localctx, 38, self.RULE_partitionSpecLocation) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1486 + self.partitionSpec() + self.state = 1488 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==149: + self.state = 1487 + self.locationSpec() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PartitionSpecContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def PARTITION(self): + return self.getToken(SqlBaseParser.PARTITION, 0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def partitionVal(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PartitionValContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PartitionValContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_partitionSpec + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPartitionSpec" ): + listener.enterPartitionSpec(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPartitionSpec" ): + listener.exitPartitionSpec(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPartitionSpec" ): + return visitor.visitPartitionSpec(self) + else: + return visitor.visitChildren(self) + + + + + def partitionSpec(self): + + localctx = SqlBaseParser.PartitionSpecContext(self, self._ctx, self.state) + self.enterRule(localctx, 40, self.RULE_partitionSpec) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1490 + self.match(SqlBaseParser.PARTITION) + self.state = 1491 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1492 + self.partitionVal() + self.state = 1497 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 1493 + self.match(SqlBaseParser.COMMA) + self.state = 1494 + self.partitionVal() + self.state = 1499 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 1500 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PartitionValContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def EQ(self): + return self.getToken(SqlBaseParser.EQ, 0) + + def constant(self): + return self.getTypedRuleContext(SqlBaseParser.ConstantContext,0) + + + def DEFAULT(self): + return self.getToken(SqlBaseParser.DEFAULT, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_partitionVal + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPartitionVal" ): + listener.enterPartitionVal(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPartitionVal" ): + listener.exitPartitionVal(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPartitionVal" ): + return visitor.visitPartitionVal(self) + else: + return visitor.visitChildren(self) + + + + + def partitionVal(self): + + localctx = SqlBaseParser.PartitionValContext(self, self._ctx, self.state) + self.enterRule(localctx, 42, self.RULE_partitionVal) + self._la = 0 # Token type + try: + self.state = 1511 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,157,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 1502 + self.identifier() + self.state = 1505 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==308: + self.state = 1503 + self.match(SqlBaseParser.EQ) + self.state = 1504 + self.constant() + + + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 1507 + self.identifier() + self.state = 1508 + self.match(SqlBaseParser.EQ) + self.state = 1509 + self.match(SqlBaseParser.DEFAULT) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NamespaceContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def NAMESPACE(self): + return self.getToken(SqlBaseParser.NAMESPACE, 0) + + def DATABASE(self): + return self.getToken(SqlBaseParser.DATABASE, 0) + + def SCHEMA(self): + return self.getToken(SqlBaseParser.SCHEMA, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_namespace + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNamespace" ): + listener.enterNamespace(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNamespace" ): + listener.exitNamespace(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNamespace" ): + return visitor.visitNamespace(self) + else: + return visitor.visitChildren(self) + + + + + def namespace(self): + + localctx = SqlBaseParser.NamespaceContext(self, self._ctx, self.state) + self.enterRule(localctx, 44, self.RULE_namespace) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1513 + _la = self._input.LA(1) + if not(_la==65 or _la==166 or _la==231): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NamespacesContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def NAMESPACES(self): + return self.getToken(SqlBaseParser.NAMESPACES, 0) + + def DATABASES(self): + return self.getToken(SqlBaseParser.DATABASES, 0) + + def SCHEMAS(self): + return self.getToken(SqlBaseParser.SCHEMAS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_namespaces + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNamespaces" ): + listener.enterNamespaces(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNamespaces" ): + listener.exitNamespaces(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNamespaces" ): + return visitor.visitNamespaces(self) + else: + return visitor.visitChildren(self) + + + + + def namespaces(self): + + localctx = SqlBaseParser.NamespacesContext(self, self._ctx, self.state) + self.enterRule(localctx, 46, self.RULE_namespaces) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1515 + _la = self._input.LA(1) + if not(_la==66 or _la==167 or _la==232): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class DescribeFuncNameContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def qualifiedName(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedNameContext,0) + + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def comparisonOperator(self): + return self.getTypedRuleContext(SqlBaseParser.ComparisonOperatorContext,0) + + + def arithmeticOperator(self): + return self.getTypedRuleContext(SqlBaseParser.ArithmeticOperatorContext,0) + + + def predicateOperator(self): + return self.getTypedRuleContext(SqlBaseParser.PredicateOperatorContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_describeFuncName + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDescribeFuncName" ): + listener.enterDescribeFuncName(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDescribeFuncName" ): + listener.exitDescribeFuncName(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDescribeFuncName" ): + return visitor.visitDescribeFuncName(self) + else: + return visitor.visitChildren(self) + + + + + def describeFuncName(self): + + localctx = SqlBaseParser.DescribeFuncNameContext(self, self._ctx, self.state) + self.enterRule(localctx, 48, self.RULE_describeFuncName) + try: + self.state = 1522 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,158,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 1517 + self.qualifiedName() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 1518 + self.stringLit() + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 1519 + self.comparisonOperator() + pass + + elif la_ == 4: + self.enterOuterAlt(localctx, 4) + self.state = 1520 + self.arithmeticOperator() + pass + + elif la_ == 5: + self.enterOuterAlt(localctx, 5) + self.state = 1521 + self.predicateOperator() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class DescribeColNameContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._identifier = None # IdentifierContext + self.nameParts = list() # of IdentifierContexts + + def identifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,i) + + + def DOT(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.DOT) + else: + return self.getToken(SqlBaseParser.DOT, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_describeColName + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDescribeColName" ): + listener.enterDescribeColName(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDescribeColName" ): + listener.exitDescribeColName(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDescribeColName" ): + return visitor.visitDescribeColName(self) + else: + return visitor.visitChildren(self) + + + + + def describeColName(self): + + localctx = SqlBaseParser.DescribeColNameContext(self, self._ctx, self.state) + self.enterRule(localctx, 50, self.RULE_describeColName) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1524 + localctx._identifier = self.identifier() + localctx.nameParts.append(localctx._identifier) + self.state = 1529 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==5: + self.state = 1525 + self.match(SqlBaseParser.DOT) + self.state = 1526 + localctx._identifier = self.identifier() + localctx.nameParts.append(localctx._identifier) + self.state = 1531 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class CtesContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def WITH(self): + return self.getToken(SqlBaseParser.WITH, 0) + + def namedQuery(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.NamedQueryContext) + else: + return self.getTypedRuleContext(SqlBaseParser.NamedQueryContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_ctes + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCtes" ): + listener.enterCtes(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCtes" ): + listener.exitCtes(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCtes" ): + return visitor.visitCtes(self) + else: + return visitor.visitChildren(self) + + + + + def ctes(self): + + localctx = SqlBaseParser.CtesContext(self, self._ctx, self.state) + self.enterRule(localctx, 52, self.RULE_ctes) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1532 + self.match(SqlBaseParser.WITH) + self.state = 1533 + self.namedQuery() + self.state = 1538 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 1534 + self.match(SqlBaseParser.COMMA) + self.state = 1535 + self.namedQuery() + self.state = 1540 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QueryContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def queryTerm(self): + return self.getTypedRuleContext(SqlBaseParser.QueryTermContext,0) + + + def queryOrganization(self): + return self.getTypedRuleContext(SqlBaseParser.QueryOrganizationContext,0) + + + def ctes(self): + return self.getTypedRuleContext(SqlBaseParser.CtesContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_query + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQuery" ): + listener.enterQuery(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQuery" ): + listener.exitQuery(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQuery" ): + return visitor.visitQuery(self) + else: + return visitor.visitChildren(self) + + + + + def query(self): + + localctx = SqlBaseParser.QueryContext(self, self._ctx, self.state) + self.enterRule(localctx, 54, self.RULE_query) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1542 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==303: + self.state = 1541 + self.ctes() + + + self.state = 1544 + self.queryTerm(0) + self.state = 1545 + self.queryOrganization() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NamedQueryContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.name = None # ErrorCapturingIdentifierContext + self.columnAliases = None # IdentifierListContext + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def identifierList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_namedQuery + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNamedQuery" ): + listener.enterNamedQuery(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNamedQuery" ): + listener.exitNamedQuery(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNamedQuery" ): + return visitor.visitNamedQuery(self) + else: + return visitor.visitChildren(self) + + + + + def namedQuery(self): + + localctx = SqlBaseParser.NamedQueryContext(self, self._ctx, self.state) + self.enterRule(localctx, 56, self.RULE_namedQuery) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1547 + localctx.name = self.errorCapturingIdentifier() + self.state = 1549 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,162,self._ctx) + if la_ == 1: + self.state = 1548 + localctx.columnAliases = self.identifierList() + + + self.state = 1552 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==20: + self.state = 1551 + self.match(SqlBaseParser.AS) + + + self.state = 1554 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1555 + self.query() + self.state = 1556 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QueryTermContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_queryTerm + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + class QueryTermDefaultContext(QueryTermContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QueryTermContext + super().__init__(parser) + self.copyFrom(ctx) + + def queryPrimary(self): + return self.getTypedRuleContext(SqlBaseParser.QueryPrimaryContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQueryTermDefault" ): + listener.enterQueryTermDefault(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQueryTermDefault" ): + listener.exitQueryTermDefault(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQueryTermDefault" ): + return visitor.visitQueryTermDefault(self) + else: + return visitor.visitChildren(self) + + + class SetOperationContext(QueryTermContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QueryTermContext + super().__init__(parser) + self.left = None # QueryTermContext + self.operator = None # Token + self.right = None # QueryTermContext + self.copyFrom(ctx) + + def queryTerm(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.QueryTermContext) + else: + return self.getTypedRuleContext(SqlBaseParser.QueryTermContext,i) + + def INTERSECT(self): + return self.getToken(SqlBaseParser.INTERSECT, 0) + def UNION(self): + return self.getToken(SqlBaseParser.UNION, 0) + def EXCEPT(self): + return self.getToken(SqlBaseParser.EXCEPT, 0) + def SETMINUS(self): + return self.getToken(SqlBaseParser.SETMINUS, 0) + def setQuantifier(self): + return self.getTypedRuleContext(SqlBaseParser.SetQuantifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetOperation" ): + listener.enterSetOperation(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetOperation" ): + listener.exitSetOperation(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetOperation" ): + return visitor.visitSetOperation(self) + else: + return visitor.visitChildren(self) + + + + def queryTerm(self, _p:int=0): + _parentctx = self._ctx + _parentState = self.state + localctx = SqlBaseParser.QueryTermContext(self, self._ctx, _parentState) + _prevctx = localctx + _startState = 58 + self.enterRecursionRule(localctx, 58, self.RULE_queryTerm, _p) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + localctx = SqlBaseParser.QueryTermDefaultContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + + self.state = 1559 + self.queryPrimary() + self._ctx.stop = self._input.LT(-1) + self.state = 1569 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,165,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + if self._parseListeners is not None: + self.triggerExitRuleEvent() + _prevctx = localctx + localctx = SqlBaseParser.SetOperationContext(self, SqlBaseParser.QueryTermContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_queryTerm) + self.state = 1561 + if not self.precpred(self._ctx, 1): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 1)") + self.state = 1562 + localctx.operator = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==87 or _la==130 or _la==240 or _la==284): + localctx.operator = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 1564 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==10 or _la==79: + self.state = 1563 + self.setQuantifier() + + + self.state = 1566 + localctx.right = self.queryTerm(2) + self.state = 1571 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,165,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.unrollRecursionContexts(_parentctx) + return localctx + + + class QuerySpecificationContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_querySpecification + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class RegularQuerySpecificationContext(QuerySpecificationContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QuerySpecificationContext + super().__init__(parser) + self.copyFrom(ctx) + + def selectClause(self): + return self.getTypedRuleContext(SqlBaseParser.SelectClauseContext,0) + + def fromClause(self): + return self.getTypedRuleContext(SqlBaseParser.FromClauseContext,0) + + def lateralView(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.LateralViewContext) + else: + return self.getTypedRuleContext(SqlBaseParser.LateralViewContext,i) + + def whereClause(self): + return self.getTypedRuleContext(SqlBaseParser.WhereClauseContext,0) + + def aggregationClause(self): + return self.getTypedRuleContext(SqlBaseParser.AggregationClauseContext,0) + + def havingClause(self): + return self.getTypedRuleContext(SqlBaseParser.HavingClauseContext,0) + + def windowClause(self): + return self.getTypedRuleContext(SqlBaseParser.WindowClauseContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRegularQuerySpecification" ): + listener.enterRegularQuerySpecification(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRegularQuerySpecification" ): + listener.exitRegularQuerySpecification(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRegularQuerySpecification" ): + return visitor.visitRegularQuerySpecification(self) + else: + return visitor.visitChildren(self) + + + class TransformQuerySpecificationContext(QuerySpecificationContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QuerySpecificationContext + super().__init__(parser) + self.copyFrom(ctx) + + def transformClause(self): + return self.getTypedRuleContext(SqlBaseParser.TransformClauseContext,0) + + def fromClause(self): + return self.getTypedRuleContext(SqlBaseParser.FromClauseContext,0) + + def lateralView(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.LateralViewContext) + else: + return self.getTypedRuleContext(SqlBaseParser.LateralViewContext,i) + + def whereClause(self): + return self.getTypedRuleContext(SqlBaseParser.WhereClauseContext,0) + + def aggregationClause(self): + return self.getTypedRuleContext(SqlBaseParser.AggregationClauseContext,0) + + def havingClause(self): + return self.getTypedRuleContext(SqlBaseParser.HavingClauseContext,0) + + def windowClause(self): + return self.getTypedRuleContext(SqlBaseParser.WindowClauseContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTransformQuerySpecification" ): + listener.enterTransformQuerySpecification(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTransformQuerySpecification" ): + listener.exitTransformQuerySpecification(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTransformQuerySpecification" ): + return visitor.visitTransformQuerySpecification(self) + else: + return visitor.visitChildren(self) + + + + def querySpecification(self): + + localctx = SqlBaseParser.QuerySpecificationContext(self, self._ctx, self.state) + self.enterRule(localctx, 60, self.RULE_querySpecification) + try: + self.state = 1616 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,178,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.TransformQuerySpecificationContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 1572 + self.transformClause() + self.state = 1574 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,166,self._ctx) + if la_ == 1: + self.state = 1573 + self.fromClause() + + + self.state = 1579 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,167,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1576 + self.lateralView() + self.state = 1581 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,167,self._ctx) + + self.state = 1583 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,168,self._ctx) + if la_ == 1: + self.state = 1582 + self.whereClause() + + + self.state = 1586 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,169,self._ctx) + if la_ == 1: + self.state = 1585 + self.aggregationClause() + + + self.state = 1589 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,170,self._ctx) + if la_ == 1: + self.state = 1588 + self.havingClause() + + + self.state = 1592 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,171,self._ctx) + if la_ == 1: + self.state = 1591 + self.windowClause() + + + pass + + elif la_ == 2: + localctx = SqlBaseParser.RegularQuerySpecificationContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 1594 + self.selectClause() + self.state = 1596 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,172,self._ctx) + if la_ == 1: + self.state = 1595 + self.fromClause() + + + self.state = 1601 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,173,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1598 + self.lateralView() + self.state = 1603 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,173,self._ctx) + + self.state = 1605 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,174,self._ctx) + if la_ == 1: + self.state = 1604 + self.whereClause() + + + self.state = 1608 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,175,self._ctx) + if la_ == 1: + self.state = 1607 + self.aggregationClause() + + + self.state = 1611 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,176,self._ctx) + if la_ == 1: + self.state = 1610 + self.havingClause() + + + self.state = 1614 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,177,self._ctx) + if la_ == 1: + self.state = 1613 + self.windowClause() + + + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QueryPrimaryContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_queryPrimary + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class SubqueryContext(QueryPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QueryPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSubquery" ): + listener.enterSubquery(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSubquery" ): + listener.exitSubquery(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSubquery" ): + return visitor.visitSubquery(self) + else: + return visitor.visitChildren(self) + + + class QueryPrimaryDefaultContext(QueryPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QueryPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def querySpecification(self): + return self.getTypedRuleContext(SqlBaseParser.QuerySpecificationContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQueryPrimaryDefault" ): + listener.enterQueryPrimaryDefault(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQueryPrimaryDefault" ): + listener.exitQueryPrimaryDefault(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQueryPrimaryDefault" ): + return visitor.visitQueryPrimaryDefault(self) + else: + return visitor.visitChildren(self) + + + class InlineTableDefault1Context(QueryPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QueryPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def inlineTable(self): + return self.getTypedRuleContext(SqlBaseParser.InlineTableContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInlineTableDefault1" ): + listener.enterInlineTableDefault1(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInlineTableDefault1" ): + listener.exitInlineTableDefault1(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInlineTableDefault1" ): + return visitor.visitInlineTableDefault1(self) + else: + return visitor.visitChildren(self) + + + class FromStmtContext(QueryPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QueryPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def fromStatement(self): + return self.getTypedRuleContext(SqlBaseParser.FromStatementContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFromStmt" ): + listener.enterFromStmt(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFromStmt" ): + listener.exitFromStmt(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFromStmt" ): + return visitor.visitFromStmt(self) + else: + return visitor.visitChildren(self) + + + class TableContext(QueryPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.QueryPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTable" ): + listener.enterTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTable" ): + listener.exitTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTable" ): + return visitor.visitTable(self) + else: + return visitor.visitChildren(self) + + + + def queryPrimary(self): + + localctx = SqlBaseParser.QueryPrimaryContext(self, self._ctx, self.state) + self.enterRule(localctx, 62, self.RULE_queryPrimary) + try: + self.state = 1627 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [154, 210, 233]: + localctx = SqlBaseParser.QueryPrimaryDefaultContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 1618 + self.querySpecification() + pass + elif token in [107]: + localctx = SqlBaseParser.FromStmtContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 1619 + self.fromStatement() + pass + elif token in [258]: + localctx = SqlBaseParser.TableContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 1620 + self.match(SqlBaseParser.TABLE) + self.state = 1621 + self.multipartIdentifier() + pass + elif token in [294]: + localctx = SqlBaseParser.InlineTableDefault1Context(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 1622 + self.inlineTable() + pass + elif token in [2]: + localctx = SqlBaseParser.SubqueryContext(self, localctx) + self.enterOuterAlt(localctx, 5) + self.state = 1623 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1624 + self.query() + self.state = 1625 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class TableProviderContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def USING(self): + return self.getToken(SqlBaseParser.USING, 0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_tableProvider + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTableProvider" ): + listener.enterTableProvider(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTableProvider" ): + listener.exitTableProvider(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTableProvider" ): + return visitor.visitTableProvider(self) + else: + return visitor.visitChildren(self) + + + + + def tableProvider(self): + + localctx = SqlBaseParser.TableProviderContext(self, self._ctx, self.state) + self.enterRule(localctx, 64, self.RULE_tableProvider) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1629 + self.match(SqlBaseParser.USING) + self.state = 1630 + self.multipartIdentifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class CreateTableClausesContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.options = None # PropertyListContext + self.partitioning = None # PartitionFieldListContext + self.tableProps = None # PropertyListContext + + def skewSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.SkewSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.SkewSpecContext,i) + + + def bucketSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.BucketSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.BucketSpecContext,i) + + + def rowFormat(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.RowFormatContext) + else: + return self.getTypedRuleContext(SqlBaseParser.RowFormatContext,i) + + + def createFileFormat(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.CreateFileFormatContext) + else: + return self.getTypedRuleContext(SqlBaseParser.CreateFileFormatContext,i) + + + def locationSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.LocationSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.LocationSpecContext,i) + + + def commentSpec(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.CommentSpecContext) + else: + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,i) + + + def OPTIONS(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.OPTIONS) + else: + return self.getToken(SqlBaseParser.OPTIONS, i) + + def PARTITIONED(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.PARTITIONED) + else: + return self.getToken(SqlBaseParser.PARTITIONED, i) + + def BY(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.BY) + else: + return self.getToken(SqlBaseParser.BY, i) + + def TBLPROPERTIES(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.TBLPROPERTIES) + else: + return self.getToken(SqlBaseParser.TBLPROPERTIES, i) + + def propertyList(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PropertyListContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,i) + + + def partitionFieldList(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PartitionFieldListContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PartitionFieldListContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_createTableClauses + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateTableClauses" ): + listener.enterCreateTableClauses(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateTableClauses" ): + listener.exitCreateTableClauses(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateTableClauses" ): + return visitor.visitCreateTableClauses(self) + else: + return visitor.visitChildren(self) + + + + + def createTableClauses(self): + + localctx = SqlBaseParser.CreateTableClausesContext(self, self._ctx, self.state) + self.enterRule(localctx, 66, self.RULE_createTableClauses) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1647 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==39 or _la==45 or ((((_la - 149)) & ~0x3f) == 0 and ((1 << (_la - 149)) & 4400193994753) != 0) or ((((_la - 227)) & ~0x3f) == 0 and ((1 << (_la - 227)) & 34368192513) != 0): + self.state = 1645 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [180]: + self.state = 1632 + self.match(SqlBaseParser.OPTIONS) + self.state = 1633 + localctx.options = self.propertyList() + pass + elif token in [191]: + self.state = 1634 + self.match(SqlBaseParser.PARTITIONED) + self.state = 1635 + self.match(SqlBaseParser.BY) + self.state = 1636 + localctx.partitioning = self.partitionFieldList() + pass + elif token in [243]: + self.state = 1637 + self.skewSpec() + pass + elif token in [39]: + self.state = 1638 + self.bucketSpec() + pass + elif token in [227]: + self.state = 1639 + self.rowFormat() + pass + elif token in [250]: + self.state = 1640 + self.createFileFormat() + pass + elif token in [149]: + self.state = 1641 + self.locationSpec() + pass + elif token in [45]: + self.state = 1642 + self.commentSpec() + pass + elif token in [262]: + self.state = 1643 + self.match(SqlBaseParser.TBLPROPERTIES) + self.state = 1644 + localctx.tableProps = self.propertyList() + pass + else: + raise NoViableAltException(self) + + self.state = 1649 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PropertyListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def property_(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PropertyContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PropertyContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_propertyList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPropertyList" ): + listener.enterPropertyList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPropertyList" ): + listener.exitPropertyList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPropertyList" ): + return visitor.visitPropertyList(self) + else: + return visitor.visitChildren(self) + + + + + def propertyList(self): + + localctx = SqlBaseParser.PropertyListContext(self, self._ctx, self.state) + self.enterRule(localctx, 68, self.RULE_propertyList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1650 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1651 + self.property_() + self.state = 1656 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 1652 + self.match(SqlBaseParser.COMMA) + self.state = 1653 + self.property_() + self.state = 1658 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 1659 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PropertyContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.key = None # PropertyKeyContext + self.value = None # PropertyValueContext + + def propertyKey(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyKeyContext,0) + + + def propertyValue(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyValueContext,0) + + + def EQ(self): + return self.getToken(SqlBaseParser.EQ, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_property + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterProperty" ): + listener.enterProperty(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitProperty" ): + listener.exitProperty(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitProperty" ): + return visitor.visitProperty(self) + else: + return visitor.visitChildren(self) + + + + + def property_(self): + + localctx = SqlBaseParser.PropertyContext(self, self._ctx, self.state) + self.enterRule(localctx, 70, self.RULE_property) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1661 + localctx.key = self.propertyKey() + self.state = 1666 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==96 or ((((_la - 277)) & ~0x3f) == 0 and ((1 << (_la - 277)) & 1468173480670265345) != 0): + self.state = 1663 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==308: + self.state = 1662 + self.match(SqlBaseParser.EQ) + + + self.state = 1665 + localctx.value = self.propertyValue() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PropertyKeyContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,i) + + + def DOT(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.DOT) + else: + return self.getToken(SqlBaseParser.DOT, i) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_propertyKey + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPropertyKey" ): + listener.enterPropertyKey(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPropertyKey" ): + listener.exitPropertyKey(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPropertyKey" ): + return visitor.visitPropertyKey(self) + else: + return visitor.visitChildren(self) + + + + + def propertyKey(self): + + localctx = SqlBaseParser.PropertyKeyContext(self, self._ctx, self.state) + self.enterRule(localctx, 72, self.RULE_propertyKey) + self._la = 0 # Token type + try: + self.state = 1677 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,186,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 1668 + self.identifier() + self.state = 1673 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==5: + self.state = 1669 + self.match(SqlBaseParser.DOT) + self.state = 1670 + self.identifier() + self.state = 1675 + self._errHandler.sync(self) + _la = self._input.LA(1) + + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 1676 + self.stringLit() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PropertyValueContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def INTEGER_VALUE(self): + return self.getToken(SqlBaseParser.INTEGER_VALUE, 0) + + def DECIMAL_VALUE(self): + return self.getToken(SqlBaseParser.DECIMAL_VALUE, 0) + + def booleanValue(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanValueContext,0) + + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_propertyValue + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPropertyValue" ): + listener.enterPropertyValue(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPropertyValue" ): + listener.exitPropertyValue(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPropertyValue" ): + return visitor.visitPropertyValue(self) + else: + return visitor.visitChildren(self) + + + + + def propertyValue(self): + + localctx = SqlBaseParser.PropertyValueContext(self, self._ctx, self.state) + self.enterRule(localctx, 74, self.RULE_propertyValue) + try: + self.state = 1683 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [335]: + self.enterOuterAlt(localctx, 1) + self.state = 1679 + self.match(SqlBaseParser.INTEGER_VALUE) + pass + elif token in [337]: + self.enterOuterAlt(localctx, 2) + self.state = 1680 + self.match(SqlBaseParser.DECIMAL_VALUE) + pass + elif token in [96, 277]: + self.enterOuterAlt(localctx, 3) + self.state = 1681 + self.booleanValue() + pass + elif token in [330, 331]: + self.enterOuterAlt(localctx, 4) + self.state = 1682 + self.stringLit() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ConstantListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def constant(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ConstantContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ConstantContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_constantList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterConstantList" ): + listener.enterConstantList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitConstantList" ): + listener.exitConstantList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitConstantList" ): + return visitor.visitConstantList(self) + else: + return visitor.visitChildren(self) + + + + + def constantList(self): + + localctx = SqlBaseParser.ConstantListContext(self, self._ctx, self.state) + self.enterRule(localctx, 76, self.RULE_constantList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1685 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1686 + self.constant() + self.state = 1691 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 1687 + self.match(SqlBaseParser.COMMA) + self.state = 1688 + self.constant() + self.state = 1693 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 1694 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NestedConstantListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def constantList(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ConstantListContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ConstantListContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_nestedConstantList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNestedConstantList" ): + listener.enterNestedConstantList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNestedConstantList" ): + listener.exitNestedConstantList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNestedConstantList" ): + return visitor.visitNestedConstantList(self) + else: + return visitor.visitChildren(self) + + + + + def nestedConstantList(self): + + localctx = SqlBaseParser.NestedConstantListContext(self, self._ctx, self.state) + self.enterRule(localctx, 78, self.RULE_nestedConstantList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1696 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1697 + self.constantList() + self.state = 1702 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 1698 + self.match(SqlBaseParser.COMMA) + self.state = 1699 + self.constantList() + self.state = 1704 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 1705 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class CreateFileFormatContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def STORED(self): + return self.getToken(SqlBaseParser.STORED, 0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def fileFormat(self): + return self.getTypedRuleContext(SqlBaseParser.FileFormatContext,0) + + + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + + def storageHandler(self): + return self.getTypedRuleContext(SqlBaseParser.StorageHandlerContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_createFileFormat + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateFileFormat" ): + listener.enterCreateFileFormat(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateFileFormat" ): + listener.exitCreateFileFormat(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateFileFormat" ): + return visitor.visitCreateFileFormat(self) + else: + return visitor.visitChildren(self) + + + + + def createFileFormat(self): + + localctx = SqlBaseParser.CreateFileFormatContext(self, self._ctx, self.state) + self.enterRule(localctx, 80, self.RULE_createFileFormat) + try: + self.state = 1713 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,190,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 1707 + self.match(SqlBaseParser.STORED) + self.state = 1708 + self.match(SqlBaseParser.AS) + self.state = 1709 + self.fileFormat() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 1710 + self.match(SqlBaseParser.STORED) + self.state = 1711 + self.match(SqlBaseParser.BY) + self.state = 1712 + self.storageHandler() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class FileFormatContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_fileFormat + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class TableFileFormatContext(FileFormatContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.FileFormatContext + super().__init__(parser) + self.inFmt = None # StringLitContext + self.outFmt = None # StringLitContext + self.copyFrom(ctx) + + def INPUTFORMAT(self): + return self.getToken(SqlBaseParser.INPUTFORMAT, 0) + def OUTPUTFORMAT(self): + return self.getToken(SqlBaseParser.OUTPUTFORMAT, 0) + def stringLit(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.StringLitContext) + else: + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTableFileFormat" ): + listener.enterTableFileFormat(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTableFileFormat" ): + listener.exitTableFileFormat(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTableFileFormat" ): + return visitor.visitTableFileFormat(self) + else: + return visitor.visitChildren(self) + + + class GenericFileFormatContext(FileFormatContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.FileFormatContext + super().__init__(parser) + self.copyFrom(ctx) + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterGenericFileFormat" ): + listener.enterGenericFileFormat(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitGenericFileFormat" ): + listener.exitGenericFileFormat(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitGenericFileFormat" ): + return visitor.visitGenericFileFormat(self) + else: + return visitor.visitChildren(self) + + + + def fileFormat(self): + + localctx = SqlBaseParser.FileFormatContext(self, self._ctx, self.state) + self.enterRule(localctx, 82, self.RULE_fileFormat) + try: + self.state = 1721 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,191,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.TableFileFormatContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 1715 + self.match(SqlBaseParser.INPUTFORMAT) + self.state = 1716 + localctx.inFmt = self.stringLit() + self.state = 1717 + self.match(SqlBaseParser.OUTPUTFORMAT) + self.state = 1718 + localctx.outFmt = self.stringLit() + pass + + elif la_ == 2: + localctx = SqlBaseParser.GenericFileFormatContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 1720 + self.identifier() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class StorageHandlerContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def WITH(self): + return self.getToken(SqlBaseParser.WITH, 0) + + def SERDEPROPERTIES(self): + return self.getToken(SqlBaseParser.SERDEPROPERTIES, 0) + + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_storageHandler + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterStorageHandler" ): + listener.enterStorageHandler(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitStorageHandler" ): + listener.exitStorageHandler(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitStorageHandler" ): + return visitor.visitStorageHandler(self) + else: + return visitor.visitChildren(self) + + + + + def storageHandler(self): + + localctx = SqlBaseParser.StorageHandlerContext(self, self._ctx, self.state) + self.enterRule(localctx, 84, self.RULE_storageHandler) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1723 + self.stringLit() + self.state = 1727 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,192,self._ctx) + if la_ == 1: + self.state = 1724 + self.match(SqlBaseParser.WITH) + self.state = 1725 + self.match(SqlBaseParser.SERDEPROPERTIES) + self.state = 1726 + self.propertyList() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ResourceContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_resource + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterResource" ): + listener.enterResource(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitResource" ): + listener.exitResource(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitResource" ): + return visitor.visitResource(self) + else: + return visitor.visitChildren(self) + + + + + def resource(self): + + localctx = SqlBaseParser.ResourceContext(self, self._ctx, self.state) + self.enterRule(localctx, 86, self.RULE_resource) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1729 + self.identifier() + self.state = 1730 + self.stringLit() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class DmlStatementNoWithContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_dmlStatementNoWith + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class DeleteFromTableContext(DmlStatementNoWithContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DmlStatementNoWithContext + super().__init__(parser) + self.copyFrom(ctx) + + def DELETE(self): + return self.getToken(SqlBaseParser.DELETE, 0) + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def tableAlias(self): + return self.getTypedRuleContext(SqlBaseParser.TableAliasContext,0) + + def whereClause(self): + return self.getTypedRuleContext(SqlBaseParser.WhereClauseContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDeleteFromTable" ): + listener.enterDeleteFromTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDeleteFromTable" ): + listener.exitDeleteFromTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDeleteFromTable" ): + return visitor.visitDeleteFromTable(self) + else: + return visitor.visitChildren(self) + + + class SingleInsertQueryContext(DmlStatementNoWithContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DmlStatementNoWithContext + super().__init__(parser) + self.copyFrom(ctx) + + def insertInto(self): + return self.getTypedRuleContext(SqlBaseParser.InsertIntoContext,0) + + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSingleInsertQuery" ): + listener.enterSingleInsertQuery(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSingleInsertQuery" ): + listener.exitSingleInsertQuery(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSingleInsertQuery" ): + return visitor.visitSingleInsertQuery(self) + else: + return visitor.visitChildren(self) + + + class MultiInsertQueryContext(DmlStatementNoWithContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DmlStatementNoWithContext + super().__init__(parser) + self.copyFrom(ctx) + + def fromClause(self): + return self.getTypedRuleContext(SqlBaseParser.FromClauseContext,0) + + def multiInsertQueryBody(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultiInsertQueryBodyContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultiInsertQueryBodyContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMultiInsertQuery" ): + listener.enterMultiInsertQuery(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMultiInsertQuery" ): + listener.exitMultiInsertQuery(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMultiInsertQuery" ): + return visitor.visitMultiInsertQuery(self) + else: + return visitor.visitChildren(self) + + + class UpdateTableContext(DmlStatementNoWithContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DmlStatementNoWithContext + super().__init__(parser) + self.copyFrom(ctx) + + def UPDATE(self): + return self.getToken(SqlBaseParser.UPDATE, 0) + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def tableAlias(self): + return self.getTypedRuleContext(SqlBaseParser.TableAliasContext,0) + + def setClause(self): + return self.getTypedRuleContext(SqlBaseParser.SetClauseContext,0) + + def whereClause(self): + return self.getTypedRuleContext(SqlBaseParser.WhereClauseContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUpdateTable" ): + listener.enterUpdateTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUpdateTable" ): + listener.exitUpdateTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUpdateTable" ): + return visitor.visitUpdateTable(self) + else: + return visitor.visitChildren(self) + + + class MergeIntoTableContext(DmlStatementNoWithContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DmlStatementNoWithContext + super().__init__(parser) + self.target = None # MultipartIdentifierContext + self.targetAlias = None # TableAliasContext + self.source = None # MultipartIdentifierContext + self.sourceQuery = None # QueryContext + self.sourceAlias = None # TableAliasContext + self.mergeCondition = None # BooleanExpressionContext + self.copyFrom(ctx) + + def MERGE(self): + return self.getToken(SqlBaseParser.MERGE, 0) + def INTO(self): + return self.getToken(SqlBaseParser.INTO, 0) + def USING(self): + return self.getToken(SqlBaseParser.USING, 0) + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + def multipartIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,i) + + def tableAlias(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.TableAliasContext) + else: + return self.getTypedRuleContext(SqlBaseParser.TableAliasContext,i) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def matchedClause(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MatchedClauseContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MatchedClauseContext,i) + + def notMatchedClause(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.NotMatchedClauseContext) + else: + return self.getTypedRuleContext(SqlBaseParser.NotMatchedClauseContext,i) + + def notMatchedBySourceClause(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.NotMatchedBySourceClauseContext) + else: + return self.getTypedRuleContext(SqlBaseParser.NotMatchedBySourceClauseContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMergeIntoTable" ): + listener.enterMergeIntoTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMergeIntoTable" ): + listener.exitMergeIntoTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMergeIntoTable" ): + return visitor.visitMergeIntoTable(self) + else: + return visitor.visitChildren(self) + + + + def dmlStatementNoWith(self): + + localctx = SqlBaseParser.DmlStatementNoWithContext(self, self._ctx, self.state) + self.enterRule(localctx, 88, self.RULE_dmlStatementNoWith) + self._la = 0 # Token type + try: + self.state = 1788 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [129]: + localctx = SqlBaseParser.SingleInsertQueryContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 1732 + self.insertInto() + self.state = 1733 + self.query() + pass + elif token in [107]: + localctx = SqlBaseParser.MultiInsertQueryContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 1735 + self.fromClause() + self.state = 1737 + self._errHandler.sync(self) + _la = self._input.LA(1) + while True: + self.state = 1736 + self.multiInsertQueryBody() + self.state = 1739 + self._errHandler.sync(self) + _la = self._input.LA(1) + if not (_la==129): + break + + pass + elif token in [72]: + localctx = SqlBaseParser.DeleteFromTableContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 1741 + self.match(SqlBaseParser.DELETE) + self.state = 1742 + self.match(SqlBaseParser.FROM) + self.state = 1743 + self.multipartIdentifier() + self.state = 1744 + self.tableAlias() + self.state = 1746 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==301: + self.state = 1745 + self.whereClause() + + + pass + elif token in [290]: + localctx = SqlBaseParser.UpdateTableContext(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 1748 + self.match(SqlBaseParser.UPDATE) + self.state = 1749 + self.multipartIdentifier() + self.state = 1750 + self.tableAlias() + self.state = 1751 + self.setClause() + self.state = 1753 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==301: + self.state = 1752 + self.whereClause() + + + pass + elif token in [156]: + localctx = SqlBaseParser.MergeIntoTableContext(self, localctx) + self.enterOuterAlt(localctx, 5) + self.state = 1755 + self.match(SqlBaseParser.MERGE) + self.state = 1756 + self.match(SqlBaseParser.INTO) + self.state = 1757 + localctx.target = self.multipartIdentifier() + self.state = 1758 + localctx.targetAlias = self.tableAlias() + self.state = 1759 + self.match(SqlBaseParser.USING) + self.state = 1765 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 331, 341, 342]: + self.state = 1760 + localctx.source = self.multipartIdentifier() + pass + elif token in [2]: + self.state = 1761 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1762 + localctx.sourceQuery = self.query() + self.state = 1763 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + else: + raise NoViableAltException(self) + + self.state = 1767 + localctx.sourceAlias = self.tableAlias() + self.state = 1768 + self.match(SqlBaseParser.ON) + self.state = 1769 + localctx.mergeCondition = self.booleanExpression(0) + self.state = 1773 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,197,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1770 + self.matchedClause() + self.state = 1775 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,197,self._ctx) + + self.state = 1779 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,198,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1776 + self.notMatchedClause() + self.state = 1781 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,198,self._ctx) + + self.state = 1785 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==300: + self.state = 1782 + self.notMatchedBySourceClause() + self.state = 1787 + self._errHandler.sync(self) + _la = self._input.LA(1) + + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QueryOrganizationContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._sortItem = None # SortItemContext + self.order = list() # of SortItemContexts + self._expression = None # ExpressionContext + self.clusterBy = list() # of ExpressionContexts + self.distributeBy = list() # of ExpressionContexts + self.sort = list() # of SortItemContexts + self.limit = None # ExpressionContext + self.offset = None # ExpressionContext + + def ORDER(self): + return self.getToken(SqlBaseParser.ORDER, 0) + + def BY(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.BY) + else: + return self.getToken(SqlBaseParser.BY, i) + + def CLUSTER(self): + return self.getToken(SqlBaseParser.CLUSTER, 0) + + def DISTRIBUTE(self): + return self.getToken(SqlBaseParser.DISTRIBUTE, 0) + + def SORT(self): + return self.getToken(SqlBaseParser.SORT, 0) + + def windowClause(self): + return self.getTypedRuleContext(SqlBaseParser.WindowClauseContext,0) + + + def LIMIT(self): + return self.getToken(SqlBaseParser.LIMIT, 0) + + def OFFSET(self): + return self.getToken(SqlBaseParser.OFFSET, 0) + + def sortItem(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.SortItemContext) + else: + return self.getTypedRuleContext(SqlBaseParser.SortItemContext,i) + + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def ALL(self): + return self.getToken(SqlBaseParser.ALL, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_queryOrganization + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQueryOrganization" ): + listener.enterQueryOrganization(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQueryOrganization" ): + listener.exitQueryOrganization(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQueryOrganization" ): + return visitor.visitQueryOrganization(self) + else: + return visitor.visitChildren(self) + + + + + def queryOrganization(self): + + localctx = SqlBaseParser.QueryOrganizationContext(self, self._ctx, self.state) + self.enterRule(localctx, 90, self.RULE_queryOrganization) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1800 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,202,self._ctx) + if la_ == 1: + self.state = 1790 + self.match(SqlBaseParser.ORDER) + self.state = 1791 + self.match(SqlBaseParser.BY) + self.state = 1792 + localctx._sortItem = self.sortItem() + localctx.order.append(localctx._sortItem) + self.state = 1797 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,201,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1793 + self.match(SqlBaseParser.COMMA) + self.state = 1794 + localctx._sortItem = self.sortItem() + localctx.order.append(localctx._sortItem) + self.state = 1799 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,201,self._ctx) + + + + self.state = 1812 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,204,self._ctx) + if la_ == 1: + self.state = 1802 + self.match(SqlBaseParser.CLUSTER) + self.state = 1803 + self.match(SqlBaseParser.BY) + self.state = 1804 + localctx._expression = self.expression() + localctx.clusterBy.append(localctx._expression) + self.state = 1809 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,203,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1805 + self.match(SqlBaseParser.COMMA) + self.state = 1806 + localctx._expression = self.expression() + localctx.clusterBy.append(localctx._expression) + self.state = 1811 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,203,self._ctx) + + + + self.state = 1824 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,206,self._ctx) + if la_ == 1: + self.state = 1814 + self.match(SqlBaseParser.DISTRIBUTE) + self.state = 1815 + self.match(SqlBaseParser.BY) + self.state = 1816 + localctx._expression = self.expression() + localctx.distributeBy.append(localctx._expression) + self.state = 1821 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,205,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1817 + self.match(SqlBaseParser.COMMA) + self.state = 1818 + localctx._expression = self.expression() + localctx.distributeBy.append(localctx._expression) + self.state = 1823 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,205,self._ctx) + + + + self.state = 1836 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,208,self._ctx) + if la_ == 1: + self.state = 1826 + self.match(SqlBaseParser.SORT) + self.state = 1827 + self.match(SqlBaseParser.BY) + self.state = 1828 + localctx._sortItem = self.sortItem() + localctx.sort.append(localctx._sortItem) + self.state = 1833 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,207,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1829 + self.match(SqlBaseParser.COMMA) + self.state = 1830 + localctx._sortItem = self.sortItem() + localctx.sort.append(localctx._sortItem) + self.state = 1835 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,207,self._ctx) + + + + self.state = 1839 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,209,self._ctx) + if la_ == 1: + self.state = 1838 + self.windowClause() + + + self.state = 1846 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,211,self._ctx) + if la_ == 1: + self.state = 1841 + self.match(SqlBaseParser.LIMIT) + self.state = 1844 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,210,self._ctx) + if la_ == 1: + self.state = 1842 + self.match(SqlBaseParser.ALL) + pass + + elif la_ == 2: + self.state = 1843 + localctx.limit = self.expression() + pass + + + + + self.state = 1850 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,212,self._ctx) + if la_ == 1: + self.state = 1848 + self.match(SqlBaseParser.OFFSET) + self.state = 1849 + localctx.offset = self.expression() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class MultiInsertQueryBodyContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def insertInto(self): + return self.getTypedRuleContext(SqlBaseParser.InsertIntoContext,0) + + + def fromStatementBody(self): + return self.getTypedRuleContext(SqlBaseParser.FromStatementBodyContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_multiInsertQueryBody + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMultiInsertQueryBody" ): + listener.enterMultiInsertQueryBody(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMultiInsertQueryBody" ): + listener.exitMultiInsertQueryBody(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMultiInsertQueryBody" ): + return visitor.visitMultiInsertQueryBody(self) + else: + return visitor.visitChildren(self) + + + + + def multiInsertQueryBody(self): + + localctx = SqlBaseParser.MultiInsertQueryBodyContext(self, self._ctx, self.state) + self.enterRule(localctx, 92, self.RULE_multiInsertQueryBody) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1852 + self.insertInto() + self.state = 1853 + self.fromStatementBody() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SortItemContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.ordering = None # Token + self.nullOrder = None # Token + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def NULLS(self): + return self.getToken(SqlBaseParser.NULLS, 0) + + def ASC(self): + return self.getToken(SqlBaseParser.ASC, 0) + + def DESC(self): + return self.getToken(SqlBaseParser.DESC, 0) + + def LAST(self): + return self.getToken(SqlBaseParser.LAST, 0) + + def FIRST(self): + return self.getToken(SqlBaseParser.FIRST, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_sortItem + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSortItem" ): + listener.enterSortItem(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSortItem" ): + listener.exitSortItem(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSortItem" ): + return visitor.visitSortItem(self) + else: + return visitor.visitChildren(self) + + + + + def sortItem(self): + + localctx = SqlBaseParser.SortItemContext(self, self._ctx, self.state) + self.enterRule(localctx, 94, self.RULE_sortItem) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1855 + self.expression() + self.state = 1857 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,213,self._ctx) + if la_ == 1: + self.state = 1856 + localctx.ordering = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==21 or _la==74): + localctx.ordering = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + self.state = 1861 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,214,self._ctx) + if la_ == 1: + self.state = 1859 + self.match(SqlBaseParser.NULLS) + self.state = 1860 + localctx.nullOrder = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==101 or _la==137): + localctx.nullOrder = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class FromStatementContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def fromClause(self): + return self.getTypedRuleContext(SqlBaseParser.FromClauseContext,0) + + + def fromStatementBody(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.FromStatementBodyContext) + else: + return self.getTypedRuleContext(SqlBaseParser.FromStatementBodyContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_fromStatement + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFromStatement" ): + listener.enterFromStatement(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFromStatement" ): + listener.exitFromStatement(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFromStatement" ): + return visitor.visitFromStatement(self) + else: + return visitor.visitChildren(self) + + + + + def fromStatement(self): + + localctx = SqlBaseParser.FromStatementContext(self, self._ctx, self.state) + self.enterRule(localctx, 96, self.RULE_fromStatement) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1863 + self.fromClause() + self.state = 1865 + self._errHandler.sync(self) + _alt = 1 + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt == 1: + self.state = 1864 + self.fromStatementBody() + + else: + raise NoViableAltException(self) + self.state = 1867 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,215,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class FromStatementBodyContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def transformClause(self): + return self.getTypedRuleContext(SqlBaseParser.TransformClauseContext,0) + + + def queryOrganization(self): + return self.getTypedRuleContext(SqlBaseParser.QueryOrganizationContext,0) + + + def whereClause(self): + return self.getTypedRuleContext(SqlBaseParser.WhereClauseContext,0) + + + def selectClause(self): + return self.getTypedRuleContext(SqlBaseParser.SelectClauseContext,0) + + + def lateralView(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.LateralViewContext) + else: + return self.getTypedRuleContext(SqlBaseParser.LateralViewContext,i) + + + def aggregationClause(self): + return self.getTypedRuleContext(SqlBaseParser.AggregationClauseContext,0) + + + def havingClause(self): + return self.getTypedRuleContext(SqlBaseParser.HavingClauseContext,0) + + + def windowClause(self): + return self.getTypedRuleContext(SqlBaseParser.WindowClauseContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_fromStatementBody + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFromStatementBody" ): + listener.enterFromStatementBody(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFromStatementBody" ): + listener.exitFromStatementBody(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFromStatementBody" ): + return visitor.visitFromStatementBody(self) + else: + return visitor.visitChildren(self) + + + + + def fromStatementBody(self): + + localctx = SqlBaseParser.FromStatementBodyContext(self, self._ctx, self.state) + self.enterRule(localctx, 98, self.RULE_fromStatementBody) + try: + self.state = 1896 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,222,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 1869 + self.transformClause() + self.state = 1871 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,216,self._ctx) + if la_ == 1: + self.state = 1870 + self.whereClause() + + + self.state = 1873 + self.queryOrganization() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 1875 + self.selectClause() + self.state = 1879 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,217,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 1876 + self.lateralView() + self.state = 1881 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,217,self._ctx) + + self.state = 1883 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,218,self._ctx) + if la_ == 1: + self.state = 1882 + self.whereClause() + + + self.state = 1886 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,219,self._ctx) + if la_ == 1: + self.state = 1885 + self.aggregationClause() + + + self.state = 1889 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,220,self._ctx) + if la_ == 1: + self.state = 1888 + self.havingClause() + + + self.state = 1892 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,221,self._ctx) + if la_ == 1: + self.state = 1891 + self.windowClause() + + + self.state = 1894 + self.queryOrganization() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class TransformClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.kind = None # Token + self.inRowFormat = None # RowFormatContext + self.recordWriter = None # StringLitContext + self.script = None # StringLitContext + self.outRowFormat = None # RowFormatContext + self.recordReader = None # StringLitContext + + def USING(self): + return self.getToken(SqlBaseParser.USING, 0) + + def stringLit(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.StringLitContext) + else: + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,i) + + + def SELECT(self): + return self.getToken(SqlBaseParser.SELECT, 0) + + def LEFT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.LEFT_PAREN) + else: + return self.getToken(SqlBaseParser.LEFT_PAREN, i) + + def expressionSeq(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionSeqContext,0) + + + def RIGHT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.RIGHT_PAREN) + else: + return self.getToken(SqlBaseParser.RIGHT_PAREN, i) + + def TRANSFORM(self): + return self.getToken(SqlBaseParser.TRANSFORM, 0) + + def MAP(self): + return self.getToken(SqlBaseParser.MAP, 0) + + def REDUCE(self): + return self.getToken(SqlBaseParser.REDUCE, 0) + + def RECORDWRITER(self): + return self.getToken(SqlBaseParser.RECORDWRITER, 0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def RECORDREADER(self): + return self.getToken(SqlBaseParser.RECORDREADER, 0) + + def rowFormat(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.RowFormatContext) + else: + return self.getTypedRuleContext(SqlBaseParser.RowFormatContext,i) + + + def setQuantifier(self): + return self.getTypedRuleContext(SqlBaseParser.SetQuantifierContext,0) + + + def identifierSeq(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierSeqContext,0) + + + def colTypeList(self): + return self.getTypedRuleContext(SqlBaseParser.ColTypeListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_transformClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTransformClause" ): + listener.enterTransformClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTransformClause" ): + listener.exitTransformClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTransformClause" ): + return visitor.visitTransformClause(self) + else: + return visitor.visitChildren(self) + + + + + def transformClause(self): + + localctx = SqlBaseParser.TransformClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 100, self.RULE_transformClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1917 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [233]: + self.state = 1898 + self.match(SqlBaseParser.SELECT) + self.state = 1899 + localctx.kind = self.match(SqlBaseParser.TRANSFORM) + self.state = 1900 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1902 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,223,self._ctx) + if la_ == 1: + self.state = 1901 + self.setQuantifier() + + + self.state = 1904 + self.expressionSeq() + self.state = 1905 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + elif token in [154]: + self.state = 1907 + localctx.kind = self.match(SqlBaseParser.MAP) + self.state = 1909 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,224,self._ctx) + if la_ == 1: + self.state = 1908 + self.setQuantifier() + + + self.state = 1911 + self.expressionSeq() + pass + elif token in [210]: + self.state = 1912 + localctx.kind = self.match(SqlBaseParser.REDUCE) + self.state = 1914 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,225,self._ctx) + if la_ == 1: + self.state = 1913 + self.setQuantifier() + + + self.state = 1916 + self.expressionSeq() + pass + else: + raise NoViableAltException(self) + + self.state = 1920 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==227: + self.state = 1919 + localctx.inRowFormat = self.rowFormat() + + + self.state = 1924 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==208: + self.state = 1922 + self.match(SqlBaseParser.RECORDWRITER) + self.state = 1923 + localctx.recordWriter = self.stringLit() + + + self.state = 1926 + self.match(SqlBaseParser.USING) + self.state = 1927 + localctx.script = self.stringLit() + self.state = 1940 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,231,self._ctx) + if la_ == 1: + self.state = 1928 + self.match(SqlBaseParser.AS) + self.state = 1938 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,230,self._ctx) + if la_ == 1: + self.state = 1929 + self.identifierSeq() + pass + + elif la_ == 2: + self.state = 1930 + self.colTypeList() + pass + + elif la_ == 3: + self.state = 1931 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 1934 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,229,self._ctx) + if la_ == 1: + self.state = 1932 + self.identifierSeq() + pass + + elif la_ == 2: + self.state = 1933 + self.colTypeList() + pass + + + self.state = 1936 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + + + + self.state = 1943 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,232,self._ctx) + if la_ == 1: + self.state = 1942 + localctx.outRowFormat = self.rowFormat() + + + self.state = 1947 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,233,self._ctx) + if la_ == 1: + self.state = 1945 + self.match(SqlBaseParser.RECORDREADER) + self.state = 1946 + localctx.recordReader = self.stringLit() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SelectClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._hint = None # HintContext + self.hints = list() # of HintContexts + + def SELECT(self): + return self.getToken(SqlBaseParser.SELECT, 0) + + def namedExpressionSeq(self): + return self.getTypedRuleContext(SqlBaseParser.NamedExpressionSeqContext,0) + + + def setQuantifier(self): + return self.getTypedRuleContext(SqlBaseParser.SetQuantifierContext,0) + + + def hint(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.HintContext) + else: + return self.getTypedRuleContext(SqlBaseParser.HintContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_selectClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSelectClause" ): + listener.enterSelectClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSelectClause" ): + listener.exitSelectClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSelectClause" ): + return visitor.visitSelectClause(self) + else: + return visitor.visitChildren(self) + + + + + def selectClause(self): + + localctx = SqlBaseParser.SelectClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 102, self.RULE_selectClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1949 + self.match(SqlBaseParser.SELECT) + self.state = 1953 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==328: + self.state = 1950 + localctx._hint = self.hint() + localctx.hints.append(localctx._hint) + self.state = 1955 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 1957 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,235,self._ctx) + if la_ == 1: + self.state = 1956 + self.setQuantifier() + + + self.state = 1959 + self.namedExpressionSeq() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SetClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + + def assignmentList(self): + return self.getTypedRuleContext(SqlBaseParser.AssignmentListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_setClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetClause" ): + listener.enterSetClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetClause" ): + listener.exitSetClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetClause" ): + return visitor.visitSetClause(self) + else: + return visitor.visitChildren(self) + + + + + def setClause(self): + + localctx = SqlBaseParser.SetClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 104, self.RULE_setClause) + try: + self.enterOuterAlt(localctx, 1) + self.state = 1961 + self.match(SqlBaseParser.SET) + self.state = 1962 + self.assignmentList() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class MatchedClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.matchedCond = None # BooleanExpressionContext + + def WHEN(self): + return self.getToken(SqlBaseParser.WHEN, 0) + + def MATCHED(self): + return self.getToken(SqlBaseParser.MATCHED, 0) + + def THEN(self): + return self.getToken(SqlBaseParser.THEN, 0) + + def matchedAction(self): + return self.getTypedRuleContext(SqlBaseParser.MatchedActionContext,0) + + + def AND(self): + return self.getToken(SqlBaseParser.AND, 0) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_matchedClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMatchedClause" ): + listener.enterMatchedClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMatchedClause" ): + listener.exitMatchedClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMatchedClause" ): + return visitor.visitMatchedClause(self) + else: + return visitor.visitChildren(self) + + + + + def matchedClause(self): + + localctx = SqlBaseParser.MatchedClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 106, self.RULE_matchedClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1964 + self.match(SqlBaseParser.WHEN) + self.state = 1965 + self.match(SqlBaseParser.MATCHED) + self.state = 1968 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==14: + self.state = 1966 + self.match(SqlBaseParser.AND) + self.state = 1967 + localctx.matchedCond = self.booleanExpression(0) + + + self.state = 1970 + self.match(SqlBaseParser.THEN) + self.state = 1971 + self.matchedAction() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NotMatchedClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.notMatchedCond = None # BooleanExpressionContext + + def WHEN(self): + return self.getToken(SqlBaseParser.WHEN, 0) + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def MATCHED(self): + return self.getToken(SqlBaseParser.MATCHED, 0) + + def THEN(self): + return self.getToken(SqlBaseParser.THEN, 0) + + def notMatchedAction(self): + return self.getTypedRuleContext(SqlBaseParser.NotMatchedActionContext,0) + + + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + + def TARGET(self): + return self.getToken(SqlBaseParser.TARGET, 0) + + def AND(self): + return self.getToken(SqlBaseParser.AND, 0) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_notMatchedClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNotMatchedClause" ): + listener.enterNotMatchedClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNotMatchedClause" ): + listener.exitNotMatchedClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNotMatchedClause" ): + return visitor.visitNotMatchedClause(self) + else: + return visitor.visitChildren(self) + + + + + def notMatchedClause(self): + + localctx = SqlBaseParser.NotMatchedClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 108, self.RULE_notMatchedClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1973 + self.match(SqlBaseParser.WHEN) + self.state = 1974 + self.match(SqlBaseParser.NOT) + self.state = 1975 + self.match(SqlBaseParser.MATCHED) + self.state = 1978 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==28: + self.state = 1976 + self.match(SqlBaseParser.BY) + self.state = 1977 + self.match(SqlBaseParser.TARGET) + + + self.state = 1982 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==14: + self.state = 1980 + self.match(SqlBaseParser.AND) + self.state = 1981 + localctx.notMatchedCond = self.booleanExpression(0) + + + self.state = 1984 + self.match(SqlBaseParser.THEN) + self.state = 1985 + self.notMatchedAction() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NotMatchedBySourceClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.notMatchedBySourceCond = None # BooleanExpressionContext + + def WHEN(self): + return self.getToken(SqlBaseParser.WHEN, 0) + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def MATCHED(self): + return self.getToken(SqlBaseParser.MATCHED, 0) + + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + + def SOURCE(self): + return self.getToken(SqlBaseParser.SOURCE, 0) + + def THEN(self): + return self.getToken(SqlBaseParser.THEN, 0) + + def notMatchedBySourceAction(self): + return self.getTypedRuleContext(SqlBaseParser.NotMatchedBySourceActionContext,0) + + + def AND(self): + return self.getToken(SqlBaseParser.AND, 0) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_notMatchedBySourceClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNotMatchedBySourceClause" ): + listener.enterNotMatchedBySourceClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNotMatchedBySourceClause" ): + listener.exitNotMatchedBySourceClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNotMatchedBySourceClause" ): + return visitor.visitNotMatchedBySourceClause(self) + else: + return visitor.visitChildren(self) + + + + + def notMatchedBySourceClause(self): + + localctx = SqlBaseParser.NotMatchedBySourceClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 110, self.RULE_notMatchedBySourceClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 1987 + self.match(SqlBaseParser.WHEN) + self.state = 1988 + self.match(SqlBaseParser.NOT) + self.state = 1989 + self.match(SqlBaseParser.MATCHED) + self.state = 1990 + self.match(SqlBaseParser.BY) + self.state = 1991 + self.match(SqlBaseParser.SOURCE) + self.state = 1994 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==14: + self.state = 1992 + self.match(SqlBaseParser.AND) + self.state = 1993 + localctx.notMatchedBySourceCond = self.booleanExpression(0) + + + self.state = 1996 + self.match(SqlBaseParser.THEN) + self.state = 1997 + self.notMatchedBySourceAction() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class MatchedActionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def DELETE(self): + return self.getToken(SqlBaseParser.DELETE, 0) + + def UPDATE(self): + return self.getToken(SqlBaseParser.UPDATE, 0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + + def ASTERISK(self): + return self.getToken(SqlBaseParser.ASTERISK, 0) + + def assignmentList(self): + return self.getTypedRuleContext(SqlBaseParser.AssignmentListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_matchedAction + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMatchedAction" ): + listener.enterMatchedAction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMatchedAction" ): + listener.exitMatchedAction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMatchedAction" ): + return visitor.visitMatchedAction(self) + else: + return visitor.visitChildren(self) + + + + + def matchedAction(self): + + localctx = SqlBaseParser.MatchedActionContext(self, self._ctx, self.state) + self.enterRule(localctx, 112, self.RULE_matchedAction) + try: + self.state = 2006 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,240,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 1999 + self.match(SqlBaseParser.DELETE) + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2000 + self.match(SqlBaseParser.UPDATE) + self.state = 2001 + self.match(SqlBaseParser.SET) + self.state = 2002 + self.match(SqlBaseParser.ASTERISK) + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 2003 + self.match(SqlBaseParser.UPDATE) + self.state = 2004 + self.match(SqlBaseParser.SET) + self.state = 2005 + self.assignmentList() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NotMatchedActionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.columns = None # MultipartIdentifierListContext + + def INSERT(self): + return self.getToken(SqlBaseParser.INSERT, 0) + + def ASTERISK(self): + return self.getToken(SqlBaseParser.ASTERISK, 0) + + def LEFT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.LEFT_PAREN) + else: + return self.getToken(SqlBaseParser.LEFT_PAREN, i) + + def RIGHT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.RIGHT_PAREN) + else: + return self.getToken(SqlBaseParser.RIGHT_PAREN, i) + + def VALUES(self): + return self.getToken(SqlBaseParser.VALUES, 0) + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def multipartIdentifierList(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierListContext,0) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_notMatchedAction + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNotMatchedAction" ): + listener.enterNotMatchedAction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNotMatchedAction" ): + listener.exitNotMatchedAction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNotMatchedAction" ): + return visitor.visitNotMatchedAction(self) + else: + return visitor.visitChildren(self) + + + + + def notMatchedAction(self): + + localctx = SqlBaseParser.NotMatchedActionContext(self, self._ctx, self.state) + self.enterRule(localctx, 114, self.RULE_notMatchedAction) + self._la = 0 # Token type + try: + self.state = 2026 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,242,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2008 + self.match(SqlBaseParser.INSERT) + self.state = 2009 + self.match(SqlBaseParser.ASTERISK) + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2010 + self.match(SqlBaseParser.INSERT) + self.state = 2011 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2012 + localctx.columns = self.multipartIdentifierList() + self.state = 2013 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2014 + self.match(SqlBaseParser.VALUES) + self.state = 2015 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2016 + self.expression() + self.state = 2021 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2017 + self.match(SqlBaseParser.COMMA) + self.state = 2018 + self.expression() + self.state = 2023 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2024 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NotMatchedBySourceActionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def DELETE(self): + return self.getToken(SqlBaseParser.DELETE, 0) + + def UPDATE(self): + return self.getToken(SqlBaseParser.UPDATE, 0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + + def assignmentList(self): + return self.getTypedRuleContext(SqlBaseParser.AssignmentListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_notMatchedBySourceAction + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNotMatchedBySourceAction" ): + listener.enterNotMatchedBySourceAction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNotMatchedBySourceAction" ): + listener.exitNotMatchedBySourceAction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNotMatchedBySourceAction" ): + return visitor.visitNotMatchedBySourceAction(self) + else: + return visitor.visitChildren(self) + + + + + def notMatchedBySourceAction(self): + + localctx = SqlBaseParser.NotMatchedBySourceActionContext(self, self._ctx, self.state) + self.enterRule(localctx, 116, self.RULE_notMatchedBySourceAction) + try: + self.state = 2032 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [72]: + self.enterOuterAlt(localctx, 1) + self.state = 2028 + self.match(SqlBaseParser.DELETE) + pass + elif token in [290]: + self.enterOuterAlt(localctx, 2) + self.state = 2029 + self.match(SqlBaseParser.UPDATE) + self.state = 2030 + self.match(SqlBaseParser.SET) + self.state = 2031 + self.assignmentList() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class AssignmentListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def assignment(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.AssignmentContext) + else: + return self.getTypedRuleContext(SqlBaseParser.AssignmentContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_assignmentList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAssignmentList" ): + listener.enterAssignmentList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAssignmentList" ): + listener.exitAssignmentList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAssignmentList" ): + return visitor.visitAssignmentList(self) + else: + return visitor.visitChildren(self) + + + + + def assignmentList(self): + + localctx = SqlBaseParser.AssignmentListContext(self, self._ctx, self.state) + self.enterRule(localctx, 118, self.RULE_assignmentList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2034 + self.assignment() + self.state = 2039 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2035 + self.match(SqlBaseParser.COMMA) + self.state = 2036 + self.assignment() + self.state = 2041 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class AssignmentContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.key = None # MultipartIdentifierContext + self.value = None # ExpressionContext + + def EQ(self): + return self.getToken(SqlBaseParser.EQ, 0) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_assignment + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAssignment" ): + listener.enterAssignment(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAssignment" ): + listener.exitAssignment(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAssignment" ): + return visitor.visitAssignment(self) + else: + return visitor.visitChildren(self) + + + + + def assignment(self): + + localctx = SqlBaseParser.AssignmentContext(self, self._ctx, self.state) + self.enterRule(localctx, 120, self.RULE_assignment) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2042 + localctx.key = self.multipartIdentifier() + self.state = 2043 + self.match(SqlBaseParser.EQ) + self.state = 2044 + localctx.value = self.expression() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class WhereClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def WHERE(self): + return self.getToken(SqlBaseParser.WHERE, 0) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_whereClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterWhereClause" ): + listener.enterWhereClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitWhereClause" ): + listener.exitWhereClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitWhereClause" ): + return visitor.visitWhereClause(self) + else: + return visitor.visitChildren(self) + + + + + def whereClause(self): + + localctx = SqlBaseParser.WhereClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 122, self.RULE_whereClause) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2046 + self.match(SqlBaseParser.WHERE) + self.state = 2047 + self.booleanExpression(0) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class HavingClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def HAVING(self): + return self.getToken(SqlBaseParser.HAVING, 0) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_havingClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterHavingClause" ): + listener.enterHavingClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitHavingClause" ): + listener.exitHavingClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitHavingClause" ): + return visitor.visitHavingClause(self) + else: + return visitor.visitChildren(self) + + + + + def havingClause(self): + + localctx = SqlBaseParser.HavingClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 124, self.RULE_havingClause) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2049 + self.match(SqlBaseParser.HAVING) + self.state = 2050 + self.booleanExpression(0) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class HintContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._hintStatement = None # HintStatementContext + self.hintStatements = list() # of HintStatementContexts + + def HENT_START(self): + return self.getToken(SqlBaseParser.HENT_START, 0) + + def HENT_END(self): + return self.getToken(SqlBaseParser.HENT_END, 0) + + def hintStatement(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.HintStatementContext) + else: + return self.getTypedRuleContext(SqlBaseParser.HintStatementContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_hint + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterHint" ): + listener.enterHint(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitHint" ): + listener.exitHint(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitHint" ): + return visitor.visitHint(self) + else: + return visitor.visitChildren(self) + + + + + def hint(self): + + localctx = SqlBaseParser.HintContext(self, self._ctx, self.state) + self.enterRule(localctx, 126, self.RULE_hint) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2052 + self.match(SqlBaseParser.HENT_START) + self.state = 2053 + localctx._hintStatement = self.hintStatement() + localctx.hintStatements.append(localctx._hintStatement) + self.state = 2060 + self._errHandler.sync(self) + _la = self._input.LA(1) + while (((_la) & ~0x3f) == 0 and ((1 << _la) & -240) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503599627370495) != 0) or ((((_la - 331)) & ~0x3f) == 0 and ((1 << (_la - 331)) & 3073) != 0): + self.state = 2055 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==4: + self.state = 2054 + self.match(SqlBaseParser.COMMA) + + + self.state = 2057 + localctx._hintStatement = self.hintStatement() + localctx.hintStatements.append(localctx._hintStatement) + self.state = 2062 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2063 + self.match(SqlBaseParser.HENT_END) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class HintStatementContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.hintName = None # IdentifierContext + self._primaryExpression = None # PrimaryExpressionContext + self.parameters = list() # of PrimaryExpressionContexts + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def primaryExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PrimaryExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PrimaryExpressionContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_hintStatement + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterHintStatement" ): + listener.enterHintStatement(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitHintStatement" ): + listener.exitHintStatement(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitHintStatement" ): + return visitor.visitHintStatement(self) + else: + return visitor.visitChildren(self) + + + + + def hintStatement(self): + + localctx = SqlBaseParser.HintStatementContext(self, self._ctx, self.state) + self.enterRule(localctx, 128, self.RULE_hintStatement) + self._la = 0 # Token type + try: + self.state = 2078 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,248,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2065 + localctx.hintName = self.identifier() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2066 + localctx.hintName = self.identifier() + self.state = 2067 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2068 + localctx._primaryExpression = self.primaryExpression(0) + localctx.parameters.append(localctx._primaryExpression) + self.state = 2073 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2069 + self.match(SqlBaseParser.COMMA) + self.state = 2070 + localctx._primaryExpression = self.primaryExpression(0) + localctx.parameters.append(localctx._primaryExpression) + self.state = 2075 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2076 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class FromClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + + def relation(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.RelationContext) + else: + return self.getTypedRuleContext(SqlBaseParser.RelationContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def lateralView(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.LateralViewContext) + else: + return self.getTypedRuleContext(SqlBaseParser.LateralViewContext,i) + + + def pivotClause(self): + return self.getTypedRuleContext(SqlBaseParser.PivotClauseContext,0) + + + def unpivotClause(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotClauseContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_fromClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFromClause" ): + listener.enterFromClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFromClause" ): + listener.exitFromClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFromClause" ): + return visitor.visitFromClause(self) + else: + return visitor.visitChildren(self) + + + + + def fromClause(self): + + localctx = SqlBaseParser.FromClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 130, self.RULE_fromClause) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2080 + self.match(SqlBaseParser.FROM) + self.state = 2081 + self.relation() + self.state = 2086 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,249,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2082 + self.match(SqlBaseParser.COMMA) + self.state = 2083 + self.relation() + self.state = 2088 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,249,self._ctx) + + self.state = 2092 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,250,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2089 + self.lateralView() + self.state = 2094 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,250,self._ctx) + + self.state = 2096 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,251,self._ctx) + if la_ == 1: + self.state = 2095 + self.pivotClause() + + + self.state = 2099 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,252,self._ctx) + if la_ == 1: + self.state = 2098 + self.unpivotClause() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class TemporalClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.timestamp = None # ValueExpressionContext + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def OF(self): + return self.getToken(SqlBaseParser.OF, 0) + + def version(self): + return self.getTypedRuleContext(SqlBaseParser.VersionContext,0) + + + def SYSTEM_VERSION(self): + return self.getToken(SqlBaseParser.SYSTEM_VERSION, 0) + + def VERSION(self): + return self.getToken(SqlBaseParser.VERSION, 0) + + def FOR(self): + return self.getToken(SqlBaseParser.FOR, 0) + + def SYSTEM_TIME(self): + return self.getToken(SqlBaseParser.SYSTEM_TIME, 0) + + def TIMESTAMP(self): + return self.getToken(SqlBaseParser.TIMESTAMP, 0) + + def valueExpression(self): + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_temporalClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTemporalClause" ): + listener.enterTemporalClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTemporalClause" ): + listener.exitTemporalClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTemporalClause" ): + return visitor.visitTemporalClause(self) + else: + return visitor.visitChildren(self) + + + + + def temporalClause(self): + + localctx = SqlBaseParser.TemporalClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 132, self.RULE_temporalClause) + self._la = 0 # Token type + try: + self.state = 2115 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,255,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2102 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==103: + self.state = 2101 + self.match(SqlBaseParser.FOR) + + + self.state = 2104 + _la = self._input.LA(1) + if not(_la==257 or _la==295): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2105 + self.match(SqlBaseParser.AS) + self.state = 2106 + self.match(SqlBaseParser.OF) + self.state = 2107 + self.version() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2109 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==103: + self.state = 2108 + self.match(SqlBaseParser.FOR) + + + self.state = 2111 + _la = self._input.LA(1) + if not(_la==256 or _la==267): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2112 + self.match(SqlBaseParser.AS) + self.state = 2113 + self.match(SqlBaseParser.OF) + self.state = 2114 + localctx.timestamp = self.valueExpression(0) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class AggregationClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._groupByClause = None # GroupByClauseContext + self.groupingExpressionsWithGroupingAnalytics = list() # of GroupByClauseContexts + self._expression = None # ExpressionContext + self.groupingExpressions = list() # of ExpressionContexts + self.kind = None # Token + + def GROUP(self): + return self.getToken(SqlBaseParser.GROUP, 0) + + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + + def groupByClause(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.GroupByClauseContext) + else: + return self.getTypedRuleContext(SqlBaseParser.GroupByClauseContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def WITH(self): + return self.getToken(SqlBaseParser.WITH, 0) + + def SETS(self): + return self.getToken(SqlBaseParser.SETS, 0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def groupingSet(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.GroupingSetContext) + else: + return self.getTypedRuleContext(SqlBaseParser.GroupingSetContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def ROLLUP(self): + return self.getToken(SqlBaseParser.ROLLUP, 0) + + def CUBE(self): + return self.getToken(SqlBaseParser.CUBE, 0) + + def GROUPING(self): + return self.getToken(SqlBaseParser.GROUPING, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_aggregationClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAggregationClause" ): + listener.enterAggregationClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAggregationClause" ): + listener.exitAggregationClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAggregationClause" ): + return visitor.visitAggregationClause(self) + else: + return visitor.visitChildren(self) + + + + + def aggregationClause(self): + + localctx = SqlBaseParser.AggregationClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 134, self.RULE_aggregationClause) + self._la = 0 # Token type + try: + self.state = 2156 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,260,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2117 + self.match(SqlBaseParser.GROUP) + self.state = 2118 + self.match(SqlBaseParser.BY) + self.state = 2119 + localctx._groupByClause = self.groupByClause() + localctx.groupingExpressionsWithGroupingAnalytics.append(localctx._groupByClause) + self.state = 2124 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,256,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2120 + self.match(SqlBaseParser.COMMA) + self.state = 2121 + localctx._groupByClause = self.groupByClause() + localctx.groupingExpressionsWithGroupingAnalytics.append(localctx._groupByClause) + self.state = 2126 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,256,self._ctx) + + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2127 + self.match(SqlBaseParser.GROUP) + self.state = 2128 + self.match(SqlBaseParser.BY) + self.state = 2129 + localctx._expression = self.expression() + localctx.groupingExpressions.append(localctx._expression) + self.state = 2134 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,257,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2130 + self.match(SqlBaseParser.COMMA) + self.state = 2131 + localctx._expression = self.expression() + localctx.groupingExpressions.append(localctx._expression) + self.state = 2136 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,257,self._ctx) + + self.state = 2154 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,259,self._ctx) + if la_ == 1: + self.state = 2137 + self.match(SqlBaseParser.WITH) + self.state = 2138 + localctx.kind = self.match(SqlBaseParser.ROLLUP) + + elif la_ == 2: + self.state = 2139 + self.match(SqlBaseParser.WITH) + self.state = 2140 + localctx.kind = self.match(SqlBaseParser.CUBE) + + elif la_ == 3: + self.state = 2141 + localctx.kind = self.match(SqlBaseParser.GROUPING) + self.state = 2142 + self.match(SqlBaseParser.SETS) + self.state = 2143 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2144 + self.groupingSet() + self.state = 2149 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2145 + self.match(SqlBaseParser.COMMA) + self.state = 2146 + self.groupingSet() + self.state = 2151 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2152 + self.match(SqlBaseParser.RIGHT_PAREN) + + + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class GroupByClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def groupingAnalytics(self): + return self.getTypedRuleContext(SqlBaseParser.GroupingAnalyticsContext,0) + + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_groupByClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterGroupByClause" ): + listener.enterGroupByClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitGroupByClause" ): + listener.exitGroupByClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitGroupByClause" ): + return visitor.visitGroupByClause(self) + else: + return visitor.visitChildren(self) + + + + + def groupByClause(self): + + localctx = SqlBaseParser.GroupByClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 136, self.RULE_groupByClause) + try: + self.state = 2160 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,261,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2158 + self.groupingAnalytics() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2159 + self.expression() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class GroupingAnalyticsContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def groupingSet(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.GroupingSetContext) + else: + return self.getTypedRuleContext(SqlBaseParser.GroupingSetContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def ROLLUP(self): + return self.getToken(SqlBaseParser.ROLLUP, 0) + + def CUBE(self): + return self.getToken(SqlBaseParser.CUBE, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def GROUPING(self): + return self.getToken(SqlBaseParser.GROUPING, 0) + + def SETS(self): + return self.getToken(SqlBaseParser.SETS, 0) + + def groupingElement(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.GroupingElementContext) + else: + return self.getTypedRuleContext(SqlBaseParser.GroupingElementContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_groupingAnalytics + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterGroupingAnalytics" ): + listener.enterGroupingAnalytics(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitGroupingAnalytics" ): + listener.exitGroupingAnalytics(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitGroupingAnalytics" ): + return visitor.visitGroupingAnalytics(self) + else: + return visitor.visitChildren(self) + + + + + def groupingAnalytics(self): + + localctx = SqlBaseParser.GroupingAnalyticsContext(self, self._ctx, self.state) + self.enterRule(localctx, 138, self.RULE_groupingAnalytics) + self._la = 0 # Token type + try: + self.state = 2187 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [55, 226]: + self.enterOuterAlt(localctx, 1) + self.state = 2162 + _la = self._input.LA(1) + if not(_la==55 or _la==226): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2163 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2164 + self.groupingSet() + self.state = 2169 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2165 + self.match(SqlBaseParser.COMMA) + self.state = 2166 + self.groupingSet() + self.state = 2171 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2172 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + elif token in [115]: + self.enterOuterAlt(localctx, 2) + self.state = 2174 + self.match(SqlBaseParser.GROUPING) + self.state = 2175 + self.match(SqlBaseParser.SETS) + self.state = 2176 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2177 + self.groupingElement() + self.state = 2182 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2178 + self.match(SqlBaseParser.COMMA) + self.state = 2179 + self.groupingElement() + self.state = 2184 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2185 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class GroupingElementContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def groupingAnalytics(self): + return self.getTypedRuleContext(SqlBaseParser.GroupingAnalyticsContext,0) + + + def groupingSet(self): + return self.getTypedRuleContext(SqlBaseParser.GroupingSetContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_groupingElement + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterGroupingElement" ): + listener.enterGroupingElement(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitGroupingElement" ): + listener.exitGroupingElement(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitGroupingElement" ): + return visitor.visitGroupingElement(self) + else: + return visitor.visitChildren(self) + + + + + def groupingElement(self): + + localctx = SqlBaseParser.GroupingElementContext(self, self._ctx, self.state) + self.enterRule(localctx, 140, self.RULE_groupingElement) + try: + self.state = 2191 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,265,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2189 + self.groupingAnalytics() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2190 + self.groupingSet() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class GroupingSetContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_groupingSet + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterGroupingSet" ): + listener.enterGroupingSet(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitGroupingSet" ): + listener.exitGroupingSet(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitGroupingSet" ): + return visitor.visitGroupingSet(self) + else: + return visitor.visitChildren(self) + + + + + def groupingSet(self): + + localctx = SqlBaseParser.GroupingSetContext(self, self._ctx, self.state) + self.enterRule(localctx, 142, self.RULE_groupingSet) + self._la = 0 # Token type + try: + self.state = 2206 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,268,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2193 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2202 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -252) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 8074954131875299327) != 0) or ((((_la - 321)) & ~0x3f) == 0 and ((1 << (_la - 321)) & 4193825) != 0): + self.state = 2194 + self.expression() + self.state = 2199 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2195 + self.match(SqlBaseParser.COMMA) + self.state = 2196 + self.expression() + self.state = 2201 + self._errHandler.sync(self) + _la = self._input.LA(1) + + + + self.state = 2204 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2205 + self.expression() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PivotClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.aggregates = None # NamedExpressionSeqContext + self._pivotValue = None # PivotValueContext + self.pivotValues = list() # of PivotValueContexts + + def PIVOT(self): + return self.getToken(SqlBaseParser.PIVOT, 0) + + def LEFT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.LEFT_PAREN) + else: + return self.getToken(SqlBaseParser.LEFT_PAREN, i) + + def FOR(self): + return self.getToken(SqlBaseParser.FOR, 0) + + def pivotColumn(self): + return self.getTypedRuleContext(SqlBaseParser.PivotColumnContext,0) + + + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + + def RIGHT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.RIGHT_PAREN) + else: + return self.getToken(SqlBaseParser.RIGHT_PAREN, i) + + def namedExpressionSeq(self): + return self.getTypedRuleContext(SqlBaseParser.NamedExpressionSeqContext,0) + + + def pivotValue(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PivotValueContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PivotValueContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_pivotClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPivotClause" ): + listener.enterPivotClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPivotClause" ): + listener.exitPivotClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPivotClause" ): + return visitor.visitPivotClause(self) + else: + return visitor.visitChildren(self) + + + + + def pivotClause(self): + + localctx = SqlBaseParser.PivotClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 144, self.RULE_pivotClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2208 + self.match(SqlBaseParser.PIVOT) + self.state = 2209 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2210 + localctx.aggregates = self.namedExpressionSeq() + self.state = 2211 + self.match(SqlBaseParser.FOR) + self.state = 2212 + self.pivotColumn() + self.state = 2213 + self.match(SqlBaseParser.IN) + self.state = 2214 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2215 + localctx._pivotValue = self.pivotValue() + localctx.pivotValues.append(localctx._pivotValue) + self.state = 2220 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2216 + self.match(SqlBaseParser.COMMA) + self.state = 2217 + localctx._pivotValue = self.pivotValue() + localctx.pivotValues.append(localctx._pivotValue) + self.state = 2222 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2223 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2224 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PivotColumnContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._identifier = None # IdentifierContext + self.identifiers = list() # of IdentifierContexts + + def identifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,i) + + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_pivotColumn + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPivotColumn" ): + listener.enterPivotColumn(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPivotColumn" ): + listener.exitPivotColumn(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPivotColumn" ): + return visitor.visitPivotColumn(self) + else: + return visitor.visitChildren(self) + + + + + def pivotColumn(self): + + localctx = SqlBaseParser.PivotColumnContext(self, self._ctx, self.state) + self.enterRule(localctx, 146, self.RULE_pivotColumn) + self._la = 0 # Token type + try: + self.state = 2238 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 331, 341, 342]: + self.enterOuterAlt(localctx, 1) + self.state = 2226 + localctx._identifier = self.identifier() + localctx.identifiers.append(localctx._identifier) + pass + elif token in [2]: + self.enterOuterAlt(localctx, 2) + self.state = 2227 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2228 + localctx._identifier = self.identifier() + localctx.identifiers.append(localctx._identifier) + self.state = 2233 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2229 + self.match(SqlBaseParser.COMMA) + self.state = 2230 + localctx._identifier = self.identifier() + localctx.identifiers.append(localctx._identifier) + self.state = 2235 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2236 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PivotValueContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_pivotValue + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPivotValue" ): + listener.enterPivotValue(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPivotValue" ): + listener.exitPivotValue(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPivotValue" ): + return visitor.visitPivotValue(self) + else: + return visitor.visitChildren(self) + + + + + def pivotValue(self): + + localctx = SqlBaseParser.PivotValueContext(self, self._ctx, self.state) + self.enterRule(localctx, 148, self.RULE_pivotValue) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2240 + self.expression() + self.state = 2245 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -256) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503599627370495) != 0) or ((((_la - 331)) & ~0x3f) == 0 and ((1 << (_la - 331)) & 3073) != 0): + self.state = 2242 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,272,self._ctx) + if la_ == 1: + self.state = 2241 + self.match(SqlBaseParser.AS) + + + self.state = 2244 + self.identifier() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.nullOperator = None # UnpivotNullClauseContext + self.operator = None # UnpivotOperatorContext + + def UNPIVOT(self): + return self.getToken(SqlBaseParser.UNPIVOT, 0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def unpivotOperator(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotOperatorContext,0) + + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def unpivotNullClause(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotNullClauseContext,0) + + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotClause" ): + listener.enterUnpivotClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotClause" ): + listener.exitUnpivotClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotClause" ): + return visitor.visitUnpivotClause(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotClause(self): + + localctx = SqlBaseParser.UnpivotClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 150, self.RULE_unpivotClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2247 + self.match(SqlBaseParser.UNPIVOT) + self.state = 2249 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==89 or _la==123: + self.state = 2248 + localctx.nullOperator = self.unpivotNullClause() + + + self.state = 2251 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2252 + localctx.operator = self.unpivotOperator() + self.state = 2253 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2258 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,276,self._ctx) + if la_ == 1: + self.state = 2255 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,275,self._ctx) + if la_ == 1: + self.state = 2254 + self.match(SqlBaseParser.AS) + + + self.state = 2257 + self.identifier() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotNullClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def NULLS(self): + return self.getToken(SqlBaseParser.NULLS, 0) + + def INCLUDE(self): + return self.getToken(SqlBaseParser.INCLUDE, 0) + + def EXCLUDE(self): + return self.getToken(SqlBaseParser.EXCLUDE, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotNullClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotNullClause" ): + listener.enterUnpivotNullClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotNullClause" ): + listener.exitUnpivotNullClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotNullClause" ): + return visitor.visitUnpivotNullClause(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotNullClause(self): + + localctx = SqlBaseParser.UnpivotNullClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 152, self.RULE_unpivotNullClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2260 + _la = self._input.LA(1) + if not(_la==89 or _la==123): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2261 + self.match(SqlBaseParser.NULLS) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotOperatorContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def unpivotSingleValueColumnClause(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotSingleValueColumnClauseContext,0) + + + def unpivotMultiValueColumnClause(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotMultiValueColumnClauseContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotOperator + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotOperator" ): + listener.enterUnpivotOperator(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotOperator" ): + listener.exitUnpivotOperator(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotOperator" ): + return visitor.visitUnpivotOperator(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotOperator(self): + + localctx = SqlBaseParser.UnpivotOperatorContext(self, self._ctx, self.state) + self.enterRule(localctx, 154, self.RULE_unpivotOperator) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2265 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 331, 341, 342]: + self.state = 2263 + self.unpivotSingleValueColumnClause() + pass + elif token in [2]: + self.state = 2264 + self.unpivotMultiValueColumnClause() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotSingleValueColumnClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._unpivotColumnAndAlias = None # UnpivotColumnAndAliasContext + self.unpivotColumns = list() # of UnpivotColumnAndAliasContexts + + def unpivotValueColumn(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotValueColumnContext,0) + + + def FOR(self): + return self.getToken(SqlBaseParser.FOR, 0) + + def unpivotNameColumn(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotNameColumnContext,0) + + + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def unpivotColumnAndAlias(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.UnpivotColumnAndAliasContext) + else: + return self.getTypedRuleContext(SqlBaseParser.UnpivotColumnAndAliasContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotSingleValueColumnClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotSingleValueColumnClause" ): + listener.enterUnpivotSingleValueColumnClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotSingleValueColumnClause" ): + listener.exitUnpivotSingleValueColumnClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotSingleValueColumnClause" ): + return visitor.visitUnpivotSingleValueColumnClause(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotSingleValueColumnClause(self): + + localctx = SqlBaseParser.UnpivotSingleValueColumnClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 156, self.RULE_unpivotSingleValueColumnClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2267 + self.unpivotValueColumn() + self.state = 2268 + self.match(SqlBaseParser.FOR) + self.state = 2269 + self.unpivotNameColumn() + self.state = 2270 + self.match(SqlBaseParser.IN) + self.state = 2271 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2272 + localctx._unpivotColumnAndAlias = self.unpivotColumnAndAlias() + localctx.unpivotColumns.append(localctx._unpivotColumnAndAlias) + self.state = 2277 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2273 + self.match(SqlBaseParser.COMMA) + self.state = 2274 + localctx._unpivotColumnAndAlias = self.unpivotColumnAndAlias() + localctx.unpivotColumns.append(localctx._unpivotColumnAndAlias) + self.state = 2279 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2280 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotMultiValueColumnClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._unpivotValueColumn = None # UnpivotValueColumnContext + self.unpivotValueColumns = list() # of UnpivotValueColumnContexts + self._unpivotColumnSet = None # UnpivotColumnSetContext + self.unpivotColumnSets = list() # of UnpivotColumnSetContexts + + def LEFT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.LEFT_PAREN) + else: + return self.getToken(SqlBaseParser.LEFT_PAREN, i) + + def RIGHT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.RIGHT_PAREN) + else: + return self.getToken(SqlBaseParser.RIGHT_PAREN, i) + + def FOR(self): + return self.getToken(SqlBaseParser.FOR, 0) + + def unpivotNameColumn(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotNameColumnContext,0) + + + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + + def unpivotValueColumn(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.UnpivotValueColumnContext) + else: + return self.getTypedRuleContext(SqlBaseParser.UnpivotValueColumnContext,i) + + + def unpivotColumnSet(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.UnpivotColumnSetContext) + else: + return self.getTypedRuleContext(SqlBaseParser.UnpivotColumnSetContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotMultiValueColumnClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotMultiValueColumnClause" ): + listener.enterUnpivotMultiValueColumnClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotMultiValueColumnClause" ): + listener.exitUnpivotMultiValueColumnClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotMultiValueColumnClause" ): + return visitor.visitUnpivotMultiValueColumnClause(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotMultiValueColumnClause(self): + + localctx = SqlBaseParser.UnpivotMultiValueColumnClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 158, self.RULE_unpivotMultiValueColumnClause) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2282 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2283 + localctx._unpivotValueColumn = self.unpivotValueColumn() + localctx.unpivotValueColumns.append(localctx._unpivotValueColumn) + self.state = 2288 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2284 + self.match(SqlBaseParser.COMMA) + self.state = 2285 + localctx._unpivotValueColumn = self.unpivotValueColumn() + localctx.unpivotValueColumns.append(localctx._unpivotValueColumn) + self.state = 2290 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2291 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2292 + self.match(SqlBaseParser.FOR) + self.state = 2293 + self.unpivotNameColumn() + self.state = 2294 + self.match(SqlBaseParser.IN) + self.state = 2295 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2296 + localctx._unpivotColumnSet = self.unpivotColumnSet() + localctx.unpivotColumnSets.append(localctx._unpivotColumnSet) + self.state = 2301 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2297 + self.match(SqlBaseParser.COMMA) + self.state = 2298 + localctx._unpivotColumnSet = self.unpivotColumnSet() + localctx.unpivotColumnSets.append(localctx._unpivotColumnSet) + self.state = 2303 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2304 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotColumnSetContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._unpivotColumn = None # UnpivotColumnContext + self.unpivotColumns = list() # of UnpivotColumnContexts + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def unpivotColumn(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.UnpivotColumnContext) + else: + return self.getTypedRuleContext(SqlBaseParser.UnpivotColumnContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def unpivotAlias(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotAliasContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotColumnSet + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotColumnSet" ): + listener.enterUnpivotColumnSet(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotColumnSet" ): + listener.exitUnpivotColumnSet(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotColumnSet" ): + return visitor.visitUnpivotColumnSet(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotColumnSet(self): + + localctx = SqlBaseParser.UnpivotColumnSetContext(self, self._ctx, self.state) + self.enterRule(localctx, 160, self.RULE_unpivotColumnSet) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2306 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2307 + localctx._unpivotColumn = self.unpivotColumn() + localctx.unpivotColumns.append(localctx._unpivotColumn) + self.state = 2312 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2308 + self.match(SqlBaseParser.COMMA) + self.state = 2309 + localctx._unpivotColumn = self.unpivotColumn() + localctx.unpivotColumns.append(localctx._unpivotColumn) + self.state = 2314 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2315 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2317 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -256) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503599627370495) != 0) or ((((_la - 331)) & ~0x3f) == 0 and ((1 << (_la - 331)) & 3073) != 0): + self.state = 2316 + self.unpivotAlias() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotValueColumnContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotValueColumn + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotValueColumn" ): + listener.enterUnpivotValueColumn(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotValueColumn" ): + listener.exitUnpivotValueColumn(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotValueColumn" ): + return visitor.visitUnpivotValueColumn(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotValueColumn(self): + + localctx = SqlBaseParser.UnpivotValueColumnContext(self, self._ctx, self.state) + self.enterRule(localctx, 162, self.RULE_unpivotValueColumn) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2319 + self.identifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotNameColumnContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotNameColumn + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotNameColumn" ): + listener.enterUnpivotNameColumn(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotNameColumn" ): + listener.exitUnpivotNameColumn(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotNameColumn" ): + return visitor.visitUnpivotNameColumn(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotNameColumn(self): + + localctx = SqlBaseParser.UnpivotNameColumnContext(self, self._ctx, self.state) + self.enterRule(localctx, 164, self.RULE_unpivotNameColumn) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2321 + self.identifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotColumnAndAliasContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def unpivotColumn(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotColumnContext,0) + + + def unpivotAlias(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotAliasContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotColumnAndAlias + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotColumnAndAlias" ): + listener.enterUnpivotColumnAndAlias(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotColumnAndAlias" ): + listener.exitUnpivotColumnAndAlias(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotColumnAndAlias" ): + return visitor.visitUnpivotColumnAndAlias(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotColumnAndAlias(self): + + localctx = SqlBaseParser.UnpivotColumnAndAliasContext(self, self._ctx, self.state) + self.enterRule(localctx, 166, self.RULE_unpivotColumnAndAlias) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2323 + self.unpivotColumn() + self.state = 2325 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -256) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503599627370495) != 0) or ((((_la - 331)) & ~0x3f) == 0 and ((1 << (_la - 331)) & 3073) != 0): + self.state = 2324 + self.unpivotAlias() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotColumnContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotColumn + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotColumn" ): + listener.enterUnpivotColumn(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotColumn" ): + listener.exitUnpivotColumn(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotColumn" ): + return visitor.visitUnpivotColumn(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotColumn(self): + + localctx = SqlBaseParser.UnpivotColumnContext(self, self._ctx, self.state) + self.enterRule(localctx, 168, self.RULE_unpivotColumn) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2327 + self.multipartIdentifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnpivotAliasContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_unpivotAlias + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnpivotAlias" ): + listener.enterUnpivotAlias(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnpivotAlias" ): + listener.exitUnpivotAlias(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnpivotAlias" ): + return visitor.visitUnpivotAlias(self) + else: + return visitor.visitChildren(self) + + + + + def unpivotAlias(self): + + localctx = SqlBaseParser.UnpivotAliasContext(self, self._ctx, self.state) + self.enterRule(localctx, 170, self.RULE_unpivotAlias) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2330 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,284,self._ctx) + if la_ == 1: + self.state = 2329 + self.match(SqlBaseParser.AS) + + + self.state = 2332 + self.identifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class LateralViewContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.tblName = None # IdentifierContext + self._identifier = None # IdentifierContext + self.colName = list() # of IdentifierContexts + + def LATERAL(self): + return self.getToken(SqlBaseParser.LATERAL, 0) + + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + + def qualifiedName(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedNameContext,0) + + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def identifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,i) + + + def OUTER(self): + return self.getToken(SqlBaseParser.OUTER, 0) + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_lateralView + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterLateralView" ): + listener.enterLateralView(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitLateralView" ): + listener.exitLateralView(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitLateralView" ): + return visitor.visitLateralView(self) + else: + return visitor.visitChildren(self) + + + + + def lateralView(self): + + localctx = SqlBaseParser.LateralViewContext(self, self._ctx, self.state) + self.enterRule(localctx, 172, self.RULE_lateralView) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2334 + self.match(SqlBaseParser.LATERAL) + self.state = 2335 + self.match(SqlBaseParser.VIEW) + self.state = 2337 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,285,self._ctx) + if la_ == 1: + self.state = 2336 + self.match(SqlBaseParser.OUTER) + + + self.state = 2339 + self.qualifiedName() + self.state = 2340 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2349 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -252) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 8074954131875299327) != 0) or ((((_la - 321)) & ~0x3f) == 0 and ((1 << (_la - 321)) & 4193825) != 0): + self.state = 2341 + self.expression() + self.state = 2346 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2342 + self.match(SqlBaseParser.COMMA) + self.state = 2343 + self.expression() + self.state = 2348 + self._errHandler.sync(self) + _la = self._input.LA(1) + + + + self.state = 2351 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2352 + localctx.tblName = self.identifier() + self.state = 2364 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,290,self._ctx) + if la_ == 1: + self.state = 2354 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,288,self._ctx) + if la_ == 1: + self.state = 2353 + self.match(SqlBaseParser.AS) + + + self.state = 2356 + localctx._identifier = self.identifier() + localctx.colName.append(localctx._identifier) + self.state = 2361 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,289,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2357 + self.match(SqlBaseParser.COMMA) + self.state = 2358 + localctx._identifier = self.identifier() + localctx.colName.append(localctx._identifier) + self.state = 2363 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,289,self._ctx) + + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SetQuantifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def DISTINCT(self): + return self.getToken(SqlBaseParser.DISTINCT, 0) + + def ALL(self): + return self.getToken(SqlBaseParser.ALL, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_setQuantifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSetQuantifier" ): + listener.enterSetQuantifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSetQuantifier" ): + listener.exitSetQuantifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSetQuantifier" ): + return visitor.visitSetQuantifier(self) + else: + return visitor.visitChildren(self) + + + + + def setQuantifier(self): + + localctx = SqlBaseParser.SetQuantifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 174, self.RULE_setQuantifier) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2366 + _la = self._input.LA(1) + if not(_la==10 or _la==79): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class RelationContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def relationPrimary(self): + return self.getTypedRuleContext(SqlBaseParser.RelationPrimaryContext,0) + + + def LATERAL(self): + return self.getToken(SqlBaseParser.LATERAL, 0) + + def relationExtension(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.RelationExtensionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.RelationExtensionContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_relation + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRelation" ): + listener.enterRelation(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRelation" ): + listener.exitRelation(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRelation" ): + return visitor.visitRelation(self) + else: + return visitor.visitChildren(self) + + + + + def relation(self): + + localctx = SqlBaseParser.RelationContext(self, self._ctx, self.state) + self.enterRule(localctx, 176, self.RULE_relation) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2369 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,291,self._ctx) + if la_ == 1: + self.state = 2368 + self.match(SqlBaseParser.LATERAL) + + + self.state = 2371 + self.relationPrimary() + self.state = 2375 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,292,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2372 + self.relationExtension() + self.state = 2377 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,292,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class RelationExtensionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def joinRelation(self): + return self.getTypedRuleContext(SqlBaseParser.JoinRelationContext,0) + + + def pivotClause(self): + return self.getTypedRuleContext(SqlBaseParser.PivotClauseContext,0) + + + def unpivotClause(self): + return self.getTypedRuleContext(SqlBaseParser.UnpivotClauseContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_relationExtension + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRelationExtension" ): + listener.enterRelationExtension(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRelationExtension" ): + listener.exitRelationExtension(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRelationExtension" ): + return visitor.visitRelationExtension(self) + else: + return visitor.visitChildren(self) + + + + + def relationExtension(self): + + localctx = SqlBaseParser.RelationExtensionContext(self, self._ctx, self.state) + self.enterRule(localctx, 178, self.RULE_relationExtension) + try: + self.state = 2381 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [15, 54, 108, 126, 135, 141, 170, 221, 234]: + self.enterOuterAlt(localctx, 1) + self.state = 2378 + self.joinRelation() + pass + elif token in [196]: + self.enterOuterAlt(localctx, 2) + self.state = 2379 + self.pivotClause() + pass + elif token in [288]: + self.enterOuterAlt(localctx, 3) + self.state = 2380 + self.unpivotClause() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class JoinRelationContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.right = None # RelationPrimaryContext + + def JOIN(self): + return self.getToken(SqlBaseParser.JOIN, 0) + + def relationPrimary(self): + return self.getTypedRuleContext(SqlBaseParser.RelationPrimaryContext,0) + + + def joinType(self): + return self.getTypedRuleContext(SqlBaseParser.JoinTypeContext,0) + + + def LATERAL(self): + return self.getToken(SqlBaseParser.LATERAL, 0) + + def joinCriteria(self): + return self.getTypedRuleContext(SqlBaseParser.JoinCriteriaContext,0) + + + def NATURAL(self): + return self.getToken(SqlBaseParser.NATURAL, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_joinRelation + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterJoinRelation" ): + listener.enterJoinRelation(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitJoinRelation" ): + listener.exitJoinRelation(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitJoinRelation" ): + return visitor.visitJoinRelation(self) + else: + return visitor.visitChildren(self) + + + + + def joinRelation(self): + + localctx = SqlBaseParser.JoinRelationContext(self, self._ctx, self.state) + self.enterRule(localctx, 180, self.RULE_joinRelation) + try: + self.state = 2400 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [15, 54, 108, 126, 135, 141, 221, 234]: + self.enterOuterAlt(localctx, 1) + self.state = 2383 + self.joinType() + self.state = 2384 + self.match(SqlBaseParser.JOIN) + self.state = 2386 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,294,self._ctx) + if la_ == 1: + self.state = 2385 + self.match(SqlBaseParser.LATERAL) + + + self.state = 2388 + localctx.right = self.relationPrimary() + self.state = 2390 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,295,self._ctx) + if la_ == 1: + self.state = 2389 + self.joinCriteria() + + + pass + elif token in [170]: + self.enterOuterAlt(localctx, 2) + self.state = 2392 + self.match(SqlBaseParser.NATURAL) + self.state = 2393 + self.joinType() + self.state = 2394 + self.match(SqlBaseParser.JOIN) + self.state = 2396 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,296,self._ctx) + if la_ == 1: + self.state = 2395 + self.match(SqlBaseParser.LATERAL) + + + self.state = 2398 + localctx.right = self.relationPrimary() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class JoinTypeContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def INNER(self): + return self.getToken(SqlBaseParser.INNER, 0) + + def CROSS(self): + return self.getToken(SqlBaseParser.CROSS, 0) + + def LEFT(self): + return self.getToken(SqlBaseParser.LEFT, 0) + + def OUTER(self): + return self.getToken(SqlBaseParser.OUTER, 0) + + def SEMI(self): + return self.getToken(SqlBaseParser.SEMI, 0) + + def RIGHT(self): + return self.getToken(SqlBaseParser.RIGHT, 0) + + def FULL(self): + return self.getToken(SqlBaseParser.FULL, 0) + + def ANTI(self): + return self.getToken(SqlBaseParser.ANTI, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_joinType + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterJoinType" ): + listener.enterJoinType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitJoinType" ): + listener.exitJoinType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitJoinType" ): + return visitor.visitJoinType(self) + else: + return visitor.visitChildren(self) + + + + + def joinType(self): + + localctx = SqlBaseParser.JoinTypeContext(self, self._ctx, self.state) + self.enterRule(localctx, 182, self.RULE_joinType) + self._la = 0 # Token type + try: + self.state = 2426 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,304,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2403 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==126: + self.state = 2402 + self.match(SqlBaseParser.INNER) + + + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2405 + self.match(SqlBaseParser.CROSS) + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 2406 + self.match(SqlBaseParser.LEFT) + self.state = 2408 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==184: + self.state = 2407 + self.match(SqlBaseParser.OUTER) + + + pass + + elif la_ == 4: + self.enterOuterAlt(localctx, 4) + self.state = 2411 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==141: + self.state = 2410 + self.match(SqlBaseParser.LEFT) + + + self.state = 2413 + self.match(SqlBaseParser.SEMI) + pass + + elif la_ == 5: + self.enterOuterAlt(localctx, 5) + self.state = 2414 + self.match(SqlBaseParser.RIGHT) + self.state = 2416 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==184: + self.state = 2415 + self.match(SqlBaseParser.OUTER) + + + pass + + elif la_ == 6: + self.enterOuterAlt(localctx, 6) + self.state = 2418 + self.match(SqlBaseParser.FULL) + self.state = 2420 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==184: + self.state = 2419 + self.match(SqlBaseParser.OUTER) + + + pass + + elif la_ == 7: + self.enterOuterAlt(localctx, 7) + self.state = 2423 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==141: + self.state = 2422 + self.match(SqlBaseParser.LEFT) + + + self.state = 2425 + self.match(SqlBaseParser.ANTI) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class JoinCriteriaContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def USING(self): + return self.getToken(SqlBaseParser.USING, 0) + + def identifierList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_joinCriteria + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterJoinCriteria" ): + listener.enterJoinCriteria(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitJoinCriteria" ): + listener.exitJoinCriteria(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitJoinCriteria" ): + return visitor.visitJoinCriteria(self) + else: + return visitor.visitChildren(self) + + + + + def joinCriteria(self): + + localctx = SqlBaseParser.JoinCriteriaContext(self, self._ctx, self.state) + self.enterRule(localctx, 184, self.RULE_joinCriteria) + try: + self.state = 2432 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [177]: + self.enterOuterAlt(localctx, 1) + self.state = 2428 + self.match(SqlBaseParser.ON) + self.state = 2429 + self.booleanExpression(0) + pass + elif token in [293]: + self.enterOuterAlt(localctx, 2) + self.state = 2430 + self.match(SqlBaseParser.USING) + self.state = 2431 + self.identifierList() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SampleContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.seed = None # Token + + def TABLESAMPLE(self): + return self.getToken(SqlBaseParser.TABLESAMPLE, 0) + + def LEFT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.LEFT_PAREN) + else: + return self.getToken(SqlBaseParser.LEFT_PAREN, i) + + def RIGHT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.RIGHT_PAREN) + else: + return self.getToken(SqlBaseParser.RIGHT_PAREN, i) + + def sampleMethod(self): + return self.getTypedRuleContext(SqlBaseParser.SampleMethodContext,0) + + + def REPEATABLE(self): + return self.getToken(SqlBaseParser.REPEATABLE, 0) + + def INTEGER_VALUE(self): + return self.getToken(SqlBaseParser.INTEGER_VALUE, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_sample + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSample" ): + listener.enterSample(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSample" ): + listener.exitSample(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSample" ): + return visitor.visitSample(self) + else: + return visitor.visitChildren(self) + + + + + def sample(self): + + localctx = SqlBaseParser.SampleContext(self, self._ctx, self.state) + self.enterRule(localctx, 186, self.RULE_sample) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2434 + self.match(SqlBaseParser.TABLESAMPLE) + self.state = 2435 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2437 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -252) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 8074954131875299327) != 0) or ((((_la - 321)) & ~0x3f) == 0 and ((1 << (_la - 321)) & 4193825) != 0): + self.state = 2436 + self.sampleMethod() + + + self.state = 2439 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2444 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,307,self._ctx) + if la_ == 1: + self.state = 2440 + self.match(SqlBaseParser.REPEATABLE) + self.state = 2441 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2442 + localctx.seed = self.match(SqlBaseParser.INTEGER_VALUE) + self.state = 2443 + self.match(SqlBaseParser.RIGHT_PAREN) + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class SampleMethodContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_sampleMethod + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class SampleByRowsContext(SampleMethodContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.SampleMethodContext + super().__init__(parser) + self.copyFrom(ctx) + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + def ROWS(self): + return self.getToken(SqlBaseParser.ROWS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSampleByRows" ): + listener.enterSampleByRows(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSampleByRows" ): + listener.exitSampleByRows(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSampleByRows" ): + return visitor.visitSampleByRows(self) + else: + return visitor.visitChildren(self) + + + class SampleByPercentileContext(SampleMethodContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.SampleMethodContext + super().__init__(parser) + self.negativeSign = None # Token + self.percentage = None # Token + self.copyFrom(ctx) + + def PERCENTLIT(self): + return self.getToken(SqlBaseParser.PERCENTLIT, 0) + def INTEGER_VALUE(self): + return self.getToken(SqlBaseParser.INTEGER_VALUE, 0) + def DECIMAL_VALUE(self): + return self.getToken(SqlBaseParser.DECIMAL_VALUE, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSampleByPercentile" ): + listener.enterSampleByPercentile(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSampleByPercentile" ): + listener.exitSampleByPercentile(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSampleByPercentile" ): + return visitor.visitSampleByPercentile(self) + else: + return visitor.visitChildren(self) + + + class SampleByBucketContext(SampleMethodContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.SampleMethodContext + super().__init__(parser) + self.sampleType = None # Token + self.numerator = None # Token + self.denominator = None # Token + self.copyFrom(ctx) + + def OUT(self): + return self.getToken(SqlBaseParser.OUT, 0) + def OF(self): + return self.getToken(SqlBaseParser.OF, 0) + def BUCKET(self): + return self.getToken(SqlBaseParser.BUCKET, 0) + def INTEGER_VALUE(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.INTEGER_VALUE) + else: + return self.getToken(SqlBaseParser.INTEGER_VALUE, i) + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def qualifiedName(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedNameContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSampleByBucket" ): + listener.enterSampleByBucket(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSampleByBucket" ): + listener.exitSampleByBucket(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSampleByBucket" ): + return visitor.visitSampleByBucket(self) + else: + return visitor.visitChildren(self) + + + class SampleByBytesContext(SampleMethodContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.SampleMethodContext + super().__init__(parser) + self.bytes = None # ExpressionContext + self.copyFrom(ctx) + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSampleByBytes" ): + listener.enterSampleByBytes(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSampleByBytes" ): + listener.exitSampleByBytes(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSampleByBytes" ): + return visitor.visitSampleByBytes(self) + else: + return visitor.visitChildren(self) + + + + def sampleMethod(self): + + localctx = SqlBaseParser.SampleMethodContext(self, self._ctx, self.state) + self.enterRule(localctx, 188, self.RULE_sampleMethod) + self._la = 0 # Token type + try: + self.state = 2470 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,311,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.SampleByPercentileContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 2447 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 2446 + localctx.negativeSign = self.match(SqlBaseParser.MINUS) + + + self.state = 2449 + localctx.percentage = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==335 or _la==337): + localctx.percentage = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2450 + self.match(SqlBaseParser.PERCENTLIT) + pass + + elif la_ == 2: + localctx = SqlBaseParser.SampleByRowsContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 2451 + self.expression() + self.state = 2452 + self.match(SqlBaseParser.ROWS) + pass + + elif la_ == 3: + localctx = SqlBaseParser.SampleByBucketContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 2454 + localctx.sampleType = self.match(SqlBaseParser.BUCKET) + self.state = 2455 + localctx.numerator = self.match(SqlBaseParser.INTEGER_VALUE) + self.state = 2456 + self.match(SqlBaseParser.OUT) + self.state = 2457 + self.match(SqlBaseParser.OF) + self.state = 2458 + localctx.denominator = self.match(SqlBaseParser.INTEGER_VALUE) + self.state = 2467 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==177: + self.state = 2459 + self.match(SqlBaseParser.ON) + self.state = 2465 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,309,self._ctx) + if la_ == 1: + self.state = 2460 + self.identifier() + pass + + elif la_ == 2: + self.state = 2461 + self.qualifiedName() + self.state = 2462 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2463 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + + + + pass + + elif la_ == 4: + localctx = SqlBaseParser.SampleByBytesContext(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 2469 + localctx.bytes = self.expression() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class IdentifierListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def identifierSeq(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierSeqContext,0) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_identifierList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIdentifierList" ): + listener.enterIdentifierList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIdentifierList" ): + listener.exitIdentifierList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIdentifierList" ): + return visitor.visitIdentifierList(self) + else: + return visitor.visitChildren(self) + + + + + def identifierList(self): + + localctx = SqlBaseParser.IdentifierListContext(self, self._ctx, self.state) + self.enterRule(localctx, 190, self.RULE_identifierList) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2472 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2473 + self.identifierSeq() + self.state = 2474 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class IdentifierSeqContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._errorCapturingIdentifier = None # ErrorCapturingIdentifierContext + self.ident = list() # of ErrorCapturingIdentifierContexts + + def errorCapturingIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ErrorCapturingIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_identifierSeq + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIdentifierSeq" ): + listener.enterIdentifierSeq(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIdentifierSeq" ): + listener.exitIdentifierSeq(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIdentifierSeq" ): + return visitor.visitIdentifierSeq(self) + else: + return visitor.visitChildren(self) + + + + + def identifierSeq(self): + + localctx = SqlBaseParser.IdentifierSeqContext(self, self._ctx, self.state) + self.enterRule(localctx, 192, self.RULE_identifierSeq) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2476 + localctx._errorCapturingIdentifier = self.errorCapturingIdentifier() + localctx.ident.append(localctx._errorCapturingIdentifier) + self.state = 2481 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,312,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2477 + self.match(SqlBaseParser.COMMA) + self.state = 2478 + localctx._errorCapturingIdentifier = self.errorCapturingIdentifier() + localctx.ident.append(localctx._errorCapturingIdentifier) + self.state = 2483 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,312,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class OrderedIdentifierListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def orderedIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.OrderedIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.OrderedIdentifierContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_orderedIdentifierList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterOrderedIdentifierList" ): + listener.enterOrderedIdentifierList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitOrderedIdentifierList" ): + listener.exitOrderedIdentifierList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitOrderedIdentifierList" ): + return visitor.visitOrderedIdentifierList(self) + else: + return visitor.visitChildren(self) + + + + + def orderedIdentifierList(self): + + localctx = SqlBaseParser.OrderedIdentifierListContext(self, self._ctx, self.state) + self.enterRule(localctx, 194, self.RULE_orderedIdentifierList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2484 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2485 + self.orderedIdentifier() + self.state = 2490 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2486 + self.match(SqlBaseParser.COMMA) + self.state = 2487 + self.orderedIdentifier() + self.state = 2492 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2493 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class OrderedIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.ident = None # ErrorCapturingIdentifierContext + self.ordering = None # Token + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + + def ASC(self): + return self.getToken(SqlBaseParser.ASC, 0) + + def DESC(self): + return self.getToken(SqlBaseParser.DESC, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_orderedIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterOrderedIdentifier" ): + listener.enterOrderedIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitOrderedIdentifier" ): + listener.exitOrderedIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitOrderedIdentifier" ): + return visitor.visitOrderedIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def orderedIdentifier(self): + + localctx = SqlBaseParser.OrderedIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 196, self.RULE_orderedIdentifier) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2495 + localctx.ident = self.errorCapturingIdentifier() + self.state = 2497 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==21 or _la==74: + self.state = 2496 + localctx.ordering = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==21 or _la==74): + localctx.ordering = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class IdentifierCommentListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def identifierComment(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierCommentContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierCommentContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_identifierCommentList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIdentifierCommentList" ): + listener.enterIdentifierCommentList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIdentifierCommentList" ): + listener.exitIdentifierCommentList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIdentifierCommentList" ): + return visitor.visitIdentifierCommentList(self) + else: + return visitor.visitChildren(self) + + + + + def identifierCommentList(self): + + localctx = SqlBaseParser.IdentifierCommentListContext(self, self._ctx, self.state) + self.enterRule(localctx, 198, self.RULE_identifierCommentList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2499 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2500 + self.identifierComment() + self.state = 2505 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2501 + self.match(SqlBaseParser.COMMA) + self.state = 2502 + self.identifierComment() + self.state = 2507 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2508 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class IdentifierCommentContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def commentSpec(self): + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_identifierComment + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIdentifierComment" ): + listener.enterIdentifierComment(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIdentifierComment" ): + listener.exitIdentifierComment(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIdentifierComment" ): + return visitor.visitIdentifierComment(self) + else: + return visitor.visitChildren(self) + + + + + def identifierComment(self): + + localctx = SqlBaseParser.IdentifierCommentContext(self, self._ctx, self.state) + self.enterRule(localctx, 200, self.RULE_identifierComment) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2510 + self.identifier() + self.state = 2512 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==45: + self.state = 2511 + self.commentSpec() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class RelationPrimaryContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_relationPrimary + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class TableValuedFunctionContext(RelationPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.RelationPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def functionTable(self): + return self.getTypedRuleContext(SqlBaseParser.FunctionTableContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTableValuedFunction" ): + listener.enterTableValuedFunction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTableValuedFunction" ): + listener.exitTableValuedFunction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTableValuedFunction" ): + return visitor.visitTableValuedFunction(self) + else: + return visitor.visitChildren(self) + + + class InlineTableDefault2Context(RelationPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.RelationPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def inlineTable(self): + return self.getTypedRuleContext(SqlBaseParser.InlineTableContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInlineTableDefault2" ): + listener.enterInlineTableDefault2(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInlineTableDefault2" ): + listener.exitInlineTableDefault2(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInlineTableDefault2" ): + return visitor.visitInlineTableDefault2(self) + else: + return visitor.visitChildren(self) + + + class AliasedRelationContext(RelationPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.RelationPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def relation(self): + return self.getTypedRuleContext(SqlBaseParser.RelationContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def tableAlias(self): + return self.getTypedRuleContext(SqlBaseParser.TableAliasContext,0) + + def sample(self): + return self.getTypedRuleContext(SqlBaseParser.SampleContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAliasedRelation" ): + listener.enterAliasedRelation(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAliasedRelation" ): + listener.exitAliasedRelation(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAliasedRelation" ): + return visitor.visitAliasedRelation(self) + else: + return visitor.visitChildren(self) + + + class AliasedQueryContext(RelationPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.RelationPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def tableAlias(self): + return self.getTypedRuleContext(SqlBaseParser.TableAliasContext,0) + + def sample(self): + return self.getTypedRuleContext(SqlBaseParser.SampleContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAliasedQuery" ): + listener.enterAliasedQuery(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAliasedQuery" ): + listener.exitAliasedQuery(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAliasedQuery" ): + return visitor.visitAliasedQuery(self) + else: + return visitor.visitChildren(self) + + + class TableNameContext(RelationPrimaryContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.RelationPrimaryContext + super().__init__(parser) + self.copyFrom(ctx) + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + def tableAlias(self): + return self.getTypedRuleContext(SqlBaseParser.TableAliasContext,0) + + def temporalClause(self): + return self.getTypedRuleContext(SqlBaseParser.TemporalClauseContext,0) + + def sample(self): + return self.getTypedRuleContext(SqlBaseParser.SampleContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTableName" ): + listener.enterTableName(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTableName" ): + listener.exitTableName(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTableName" ): + return visitor.visitTableName(self) + else: + return visitor.visitChildren(self) + + + + def relationPrimary(self): + + localctx = SqlBaseParser.RelationPrimaryContext(self, self._ctx, self.state) + self.enterRule(localctx, 202, self.RULE_relationPrimary) + try: + self.state = 2541 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,321,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.TableNameContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 2514 + self.multipartIdentifier() + self.state = 2516 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,317,self._ctx) + if la_ == 1: + self.state = 2515 + self.temporalClause() + + + self.state = 2519 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,318,self._ctx) + if la_ == 1: + self.state = 2518 + self.sample() + + + self.state = 2521 + self.tableAlias() + pass + + elif la_ == 2: + localctx = SqlBaseParser.AliasedQueryContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 2523 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2524 + self.query() + self.state = 2525 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2527 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,319,self._ctx) + if la_ == 1: + self.state = 2526 + self.sample() + + + self.state = 2529 + self.tableAlias() + pass + + elif la_ == 3: + localctx = SqlBaseParser.AliasedRelationContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 2531 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2532 + self.relation() + self.state = 2533 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2535 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,320,self._ctx) + if la_ == 1: + self.state = 2534 + self.sample() + + + self.state = 2537 + self.tableAlias() + pass + + elif la_ == 4: + localctx = SqlBaseParser.InlineTableDefault2Context(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 2539 + self.inlineTable() + pass + + elif la_ == 5: + localctx = SqlBaseParser.TableValuedFunctionContext(self, localctx) + self.enterOuterAlt(localctx, 5) + self.state = 2540 + self.functionTable() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class InlineTableContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def VALUES(self): + return self.getToken(SqlBaseParser.VALUES, 0) + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def tableAlias(self): + return self.getTypedRuleContext(SqlBaseParser.TableAliasContext,0) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_inlineTable + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInlineTable" ): + listener.enterInlineTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInlineTable" ): + listener.exitInlineTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInlineTable" ): + return visitor.visitInlineTable(self) + else: + return visitor.visitChildren(self) + + + + + def inlineTable(self): + + localctx = SqlBaseParser.InlineTableContext(self, self._ctx, self.state) + self.enterRule(localctx, 204, self.RULE_inlineTable) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2543 + self.match(SqlBaseParser.VALUES) + self.state = 2544 + self.expression() + self.state = 2549 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,322,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2545 + self.match(SqlBaseParser.COMMA) + self.state = 2546 + self.expression() + self.state = 2551 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,322,self._ctx) + + self.state = 2552 + self.tableAlias() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class FunctionTableContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.funcName = None # FunctionNameContext + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def tableAlias(self): + return self.getTypedRuleContext(SqlBaseParser.TableAliasContext,0) + + + def functionName(self): + return self.getTypedRuleContext(SqlBaseParser.FunctionNameContext,0) + + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_functionTable + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFunctionTable" ): + listener.enterFunctionTable(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFunctionTable" ): + listener.exitFunctionTable(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFunctionTable" ): + return visitor.visitFunctionTable(self) + else: + return visitor.visitChildren(self) + + + + + def functionTable(self): + + localctx = SqlBaseParser.FunctionTableContext(self, self._ctx, self.state) + self.enterRule(localctx, 206, self.RULE_functionTable) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2554 + localctx.funcName = self.functionName() + self.state = 2555 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2564 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -252) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 8074954131875299327) != 0) or ((((_la - 321)) & ~0x3f) == 0 and ((1 << (_la - 321)) & 4193825) != 0): + self.state = 2556 + self.expression() + self.state = 2561 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2557 + self.match(SqlBaseParser.COMMA) + self.state = 2558 + self.expression() + self.state = 2563 + self._errHandler.sync(self) + _la = self._input.LA(1) + + + + self.state = 2566 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 2567 + self.tableAlias() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class TableAliasContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def strictIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.StrictIdentifierContext,0) + + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def identifierList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_tableAlias + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTableAlias" ): + listener.enterTableAlias(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTableAlias" ): + listener.exitTableAlias(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTableAlias" ): + return visitor.visitTableAlias(self) + else: + return visitor.visitChildren(self) + + + + + def tableAlias(self): + + localctx = SqlBaseParser.TableAliasContext(self, self._ctx, self.state) + self.enterRule(localctx, 208, self.RULE_tableAlias) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2576 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,327,self._ctx) + if la_ == 1: + self.state = 2570 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,325,self._ctx) + if la_ == 1: + self.state = 2569 + self.match(SqlBaseParser.AS) + + + self.state = 2572 + self.strictIdentifier() + self.state = 2574 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,326,self._ctx) + if la_ == 1: + self.state = 2573 + self.identifierList() + + + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class RowFormatContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_rowFormat + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class RowFormatSerdeContext(RowFormatContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.RowFormatContext + super().__init__(parser) + self.name = None # StringLitContext + self.props = None # PropertyListContext + self.copyFrom(ctx) + + def ROW(self): + return self.getToken(SqlBaseParser.ROW, 0) + def FORMAT(self): + return self.getToken(SqlBaseParser.FORMAT, 0) + def SERDE(self): + return self.getToken(SqlBaseParser.SERDE, 0) + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + def WITH(self): + return self.getToken(SqlBaseParser.WITH, 0) + def SERDEPROPERTIES(self): + return self.getToken(SqlBaseParser.SERDEPROPERTIES, 0) + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRowFormatSerde" ): + listener.enterRowFormatSerde(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRowFormatSerde" ): + listener.exitRowFormatSerde(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRowFormatSerde" ): + return visitor.visitRowFormatSerde(self) + else: + return visitor.visitChildren(self) + + + class RowFormatDelimitedContext(RowFormatContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.RowFormatContext + super().__init__(parser) + self.fieldsTerminatedBy = None # StringLitContext + self.escapedBy = None # StringLitContext + self.collectionItemsTerminatedBy = None # StringLitContext + self.keysTerminatedBy = None # StringLitContext + self.linesSeparatedBy = None # StringLitContext + self.nullDefinedAs = None # StringLitContext + self.copyFrom(ctx) + + def ROW(self): + return self.getToken(SqlBaseParser.ROW, 0) + def FORMAT(self): + return self.getToken(SqlBaseParser.FORMAT, 0) + def DELIMITED(self): + return self.getToken(SqlBaseParser.DELIMITED, 0) + def FIELDS(self): + return self.getToken(SqlBaseParser.FIELDS, 0) + def TERMINATED(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.TERMINATED) + else: + return self.getToken(SqlBaseParser.TERMINATED, i) + def BY(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.BY) + else: + return self.getToken(SqlBaseParser.BY, i) + def COLLECTION(self): + return self.getToken(SqlBaseParser.COLLECTION, 0) + def ITEMS(self): + return self.getToken(SqlBaseParser.ITEMS, 0) + def MAP(self): + return self.getToken(SqlBaseParser.MAP, 0) + def KEYS(self): + return self.getToken(SqlBaseParser.KEYS, 0) + def LINES(self): + return self.getToken(SqlBaseParser.LINES, 0) + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + def DEFINED(self): + return self.getToken(SqlBaseParser.DEFINED, 0) + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + def stringLit(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.StringLitContext) + else: + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,i) + + def ESCAPED(self): + return self.getToken(SqlBaseParser.ESCAPED, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRowFormatDelimited" ): + listener.enterRowFormatDelimited(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRowFormatDelimited" ): + listener.exitRowFormatDelimited(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRowFormatDelimited" ): + return visitor.visitRowFormatDelimited(self) + else: + return visitor.visitChildren(self) + + + + def rowFormat(self): + + localctx = SqlBaseParser.RowFormatContext(self, self._ctx, self.state) + self.enterRule(localctx, 210, self.RULE_rowFormat) + try: + self.state = 2627 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,335,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.RowFormatSerdeContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 2578 + self.match(SqlBaseParser.ROW) + self.state = 2579 + self.match(SqlBaseParser.FORMAT) + self.state = 2580 + self.match(SqlBaseParser.SERDE) + self.state = 2581 + localctx.name = self.stringLit() + self.state = 2585 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,328,self._ctx) + if la_ == 1: + self.state = 2582 + self.match(SqlBaseParser.WITH) + self.state = 2583 + self.match(SqlBaseParser.SERDEPROPERTIES) + self.state = 2584 + localctx.props = self.propertyList() + + + pass + + elif la_ == 2: + localctx = SqlBaseParser.RowFormatDelimitedContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 2587 + self.match(SqlBaseParser.ROW) + self.state = 2588 + self.match(SqlBaseParser.FORMAT) + self.state = 2589 + self.match(SqlBaseParser.DELIMITED) + self.state = 2599 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,330,self._ctx) + if la_ == 1: + self.state = 2590 + self.match(SqlBaseParser.FIELDS) + self.state = 2591 + self.match(SqlBaseParser.TERMINATED) + self.state = 2592 + self.match(SqlBaseParser.BY) + self.state = 2593 + localctx.fieldsTerminatedBy = self.stringLit() + self.state = 2597 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,329,self._ctx) + if la_ == 1: + self.state = 2594 + self.match(SqlBaseParser.ESCAPED) + self.state = 2595 + self.match(SqlBaseParser.BY) + self.state = 2596 + localctx.escapedBy = self.stringLit() + + + + + self.state = 2606 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,331,self._ctx) + if la_ == 1: + self.state = 2601 + self.match(SqlBaseParser.COLLECTION) + self.state = 2602 + self.match(SqlBaseParser.ITEMS) + self.state = 2603 + self.match(SqlBaseParser.TERMINATED) + self.state = 2604 + self.match(SqlBaseParser.BY) + self.state = 2605 + localctx.collectionItemsTerminatedBy = self.stringLit() + + + self.state = 2613 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,332,self._ctx) + if la_ == 1: + self.state = 2608 + self.match(SqlBaseParser.MAP) + self.state = 2609 + self.match(SqlBaseParser.KEYS) + self.state = 2610 + self.match(SqlBaseParser.TERMINATED) + self.state = 2611 + self.match(SqlBaseParser.BY) + self.state = 2612 + localctx.keysTerminatedBy = self.stringLit() + + + self.state = 2619 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,333,self._ctx) + if la_ == 1: + self.state = 2615 + self.match(SqlBaseParser.LINES) + self.state = 2616 + self.match(SqlBaseParser.TERMINATED) + self.state = 2617 + self.match(SqlBaseParser.BY) + self.state = 2618 + localctx.linesSeparatedBy = self.stringLit() + + + self.state = 2625 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,334,self._ctx) + if la_ == 1: + self.state = 2621 + self.match(SqlBaseParser.NULL) + self.state = 2622 + self.match(SqlBaseParser.DEFINED) + self.state = 2623 + self.match(SqlBaseParser.AS) + self.state = 2624 + localctx.nullDefinedAs = self.stringLit() + + + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class MultipartIdentifierListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def multipartIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_multipartIdentifierList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMultipartIdentifierList" ): + listener.enterMultipartIdentifierList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMultipartIdentifierList" ): + listener.exitMultipartIdentifierList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMultipartIdentifierList" ): + return visitor.visitMultipartIdentifierList(self) + else: + return visitor.visitChildren(self) + + + + + def multipartIdentifierList(self): + + localctx = SqlBaseParser.MultipartIdentifierListContext(self, self._ctx, self.state) + self.enterRule(localctx, 212, self.RULE_multipartIdentifierList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2629 + self.multipartIdentifier() + self.state = 2634 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2630 + self.match(SqlBaseParser.COMMA) + self.state = 2631 + self.multipartIdentifier() + self.state = 2636 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class MultipartIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._errorCapturingIdentifier = None # ErrorCapturingIdentifierContext + self.parts = list() # of ErrorCapturingIdentifierContexts + + def errorCapturingIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ErrorCapturingIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,i) + + + def DOT(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.DOT) + else: + return self.getToken(SqlBaseParser.DOT, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_multipartIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMultipartIdentifier" ): + listener.enterMultipartIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMultipartIdentifier" ): + listener.exitMultipartIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMultipartIdentifier" ): + return visitor.visitMultipartIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def multipartIdentifier(self): + + localctx = SqlBaseParser.MultipartIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 214, self.RULE_multipartIdentifier) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2637 + localctx._errorCapturingIdentifier = self.errorCapturingIdentifier() + localctx.parts.append(localctx._errorCapturingIdentifier) + self.state = 2642 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,337,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2638 + self.match(SqlBaseParser.DOT) + self.state = 2639 + localctx._errorCapturingIdentifier = self.errorCapturingIdentifier() + localctx.parts.append(localctx._errorCapturingIdentifier) + self.state = 2644 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,337,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class MultipartIdentifierPropertyListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def multipartIdentifierProperty(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.MultipartIdentifierPropertyContext) + else: + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierPropertyContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_multipartIdentifierPropertyList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMultipartIdentifierPropertyList" ): + listener.enterMultipartIdentifierPropertyList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMultipartIdentifierPropertyList" ): + listener.exitMultipartIdentifierPropertyList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMultipartIdentifierPropertyList" ): + return visitor.visitMultipartIdentifierPropertyList(self) + else: + return visitor.visitChildren(self) + + + + + def multipartIdentifierPropertyList(self): + + localctx = SqlBaseParser.MultipartIdentifierPropertyListContext(self, self._ctx, self.state) + self.enterRule(localctx, 216, self.RULE_multipartIdentifierPropertyList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2645 + self.multipartIdentifierProperty() + self.state = 2650 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2646 + self.match(SqlBaseParser.COMMA) + self.state = 2647 + self.multipartIdentifierProperty() + self.state = 2652 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class MultipartIdentifierPropertyContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.options = None # PropertyListContext + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def OPTIONS(self): + return self.getToken(SqlBaseParser.OPTIONS, 0) + + def propertyList(self): + return self.getTypedRuleContext(SqlBaseParser.PropertyListContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_multipartIdentifierProperty + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMultipartIdentifierProperty" ): + listener.enterMultipartIdentifierProperty(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMultipartIdentifierProperty" ): + listener.exitMultipartIdentifierProperty(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMultipartIdentifierProperty" ): + return visitor.visitMultipartIdentifierProperty(self) + else: + return visitor.visitChildren(self) + + + + + def multipartIdentifierProperty(self): + + localctx = SqlBaseParser.MultipartIdentifierPropertyContext(self, self._ctx, self.state) + self.enterRule(localctx, 218, self.RULE_multipartIdentifierProperty) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2653 + self.multipartIdentifier() + self.state = 2656 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==180: + self.state = 2654 + self.match(SqlBaseParser.OPTIONS) + self.state = 2655 + localctx.options = self.propertyList() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class TableIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.db = None # ErrorCapturingIdentifierContext + self.table = None # ErrorCapturingIdentifierContext + + def errorCapturingIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ErrorCapturingIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,i) + + + def DOT(self): + return self.getToken(SqlBaseParser.DOT, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_tableIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTableIdentifier" ): + listener.enterTableIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTableIdentifier" ): + listener.exitTableIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTableIdentifier" ): + return visitor.visitTableIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def tableIdentifier(self): + + localctx = SqlBaseParser.TableIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 220, self.RULE_tableIdentifier) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2661 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,340,self._ctx) + if la_ == 1: + self.state = 2658 + localctx.db = self.errorCapturingIdentifier() + self.state = 2659 + self.match(SqlBaseParser.DOT) + + + self.state = 2663 + localctx.table = self.errorCapturingIdentifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class FunctionIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.db = None # ErrorCapturingIdentifierContext + self.function = None # ErrorCapturingIdentifierContext + + def errorCapturingIdentifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ErrorCapturingIdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,i) + + + def DOT(self): + return self.getToken(SqlBaseParser.DOT, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_functionIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFunctionIdentifier" ): + listener.enterFunctionIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFunctionIdentifier" ): + listener.exitFunctionIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFunctionIdentifier" ): + return visitor.visitFunctionIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def functionIdentifier(self): + + localctx = SqlBaseParser.FunctionIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 222, self.RULE_functionIdentifier) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2668 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,341,self._ctx) + if la_ == 1: + self.state = 2665 + localctx.db = self.errorCapturingIdentifier() + self.state = 2666 + self.match(SqlBaseParser.DOT) + + + self.state = 2670 + localctx.function = self.errorCapturingIdentifier() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NamedExpressionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.name = None # ErrorCapturingIdentifierContext + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def identifierList(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierListContext,0) + + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_namedExpression + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNamedExpression" ): + listener.enterNamedExpression(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNamedExpression" ): + listener.exitNamedExpression(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNamedExpression" ): + return visitor.visitNamedExpression(self) + else: + return visitor.visitChildren(self) + + + + + def namedExpression(self): + + localctx = SqlBaseParser.NamedExpressionContext(self, self._ctx, self.state) + self.enterRule(localctx, 224, self.RULE_namedExpression) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2672 + self.expression() + self.state = 2680 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,344,self._ctx) + if la_ == 1: + self.state = 2674 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,342,self._ctx) + if la_ == 1: + self.state = 2673 + self.match(SqlBaseParser.AS) + + + self.state = 2678 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 331, 341, 342]: + self.state = 2676 + localctx.name = self.errorCapturingIdentifier() + pass + elif token in [2]: + self.state = 2677 + self.identifierList() + pass + else: + raise NoViableAltException(self) + + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NamedExpressionSeqContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def namedExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.NamedExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.NamedExpressionContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_namedExpressionSeq + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNamedExpressionSeq" ): + listener.enterNamedExpressionSeq(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNamedExpressionSeq" ): + listener.exitNamedExpressionSeq(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNamedExpressionSeq" ): + return visitor.visitNamedExpressionSeq(self) + else: + return visitor.visitChildren(self) + + + + + def namedExpressionSeq(self): + + localctx = SqlBaseParser.NamedExpressionSeqContext(self, self._ctx, self.state) + self.enterRule(localctx, 226, self.RULE_namedExpressionSeq) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2682 + self.namedExpression() + self.state = 2687 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,345,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 2683 + self.match(SqlBaseParser.COMMA) + self.state = 2684 + self.namedExpression() + self.state = 2689 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,345,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PartitionFieldListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._partitionField = None # PartitionFieldContext + self.fields = list() # of PartitionFieldContexts + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def partitionField(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.PartitionFieldContext) + else: + return self.getTypedRuleContext(SqlBaseParser.PartitionFieldContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_partitionFieldList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPartitionFieldList" ): + listener.enterPartitionFieldList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPartitionFieldList" ): + listener.exitPartitionFieldList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPartitionFieldList" ): + return visitor.visitPartitionFieldList(self) + else: + return visitor.visitChildren(self) + + + + + def partitionFieldList(self): + + localctx = SqlBaseParser.PartitionFieldListContext(self, self._ctx, self.state) + self.enterRule(localctx, 228, self.RULE_partitionFieldList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2690 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2691 + localctx._partitionField = self.partitionField() + localctx.fields.append(localctx._partitionField) + self.state = 2696 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2692 + self.match(SqlBaseParser.COMMA) + self.state = 2693 + localctx._partitionField = self.partitionField() + localctx.fields.append(localctx._partitionField) + self.state = 2698 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2699 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PartitionFieldContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_partitionField + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class PartitionColumnContext(PartitionFieldContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PartitionFieldContext + super().__init__(parser) + self.copyFrom(ctx) + + def colType(self): + return self.getTypedRuleContext(SqlBaseParser.ColTypeContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPartitionColumn" ): + listener.enterPartitionColumn(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPartitionColumn" ): + listener.exitPartitionColumn(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPartitionColumn" ): + return visitor.visitPartitionColumn(self) + else: + return visitor.visitChildren(self) + + + class PartitionTransformContext(PartitionFieldContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PartitionFieldContext + super().__init__(parser) + self.copyFrom(ctx) + + def transform(self): + return self.getTypedRuleContext(SqlBaseParser.TransformContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPartitionTransform" ): + listener.enterPartitionTransform(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPartitionTransform" ): + listener.exitPartitionTransform(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPartitionTransform" ): + return visitor.visitPartitionTransform(self) + else: + return visitor.visitChildren(self) + + + + def partitionField(self): + + localctx = SqlBaseParser.PartitionFieldContext(self, self._ctx, self.state) + self.enterRule(localctx, 230, self.RULE_partitionField) + try: + self.state = 2703 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,347,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.PartitionTransformContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 2701 + self.transform() + pass + + elif la_ == 2: + localctx = SqlBaseParser.PartitionColumnContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 2702 + self.colType() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class TransformContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_transform + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class IdentityTransformContext(TransformContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.TransformContext + super().__init__(parser) + self.copyFrom(ctx) + + def qualifiedName(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedNameContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIdentityTransform" ): + listener.enterIdentityTransform(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIdentityTransform" ): + listener.exitIdentityTransform(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIdentityTransform" ): + return visitor.visitIdentityTransform(self) + else: + return visitor.visitChildren(self) + + + class ApplyTransformContext(TransformContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.TransformContext + super().__init__(parser) + self.transformName = None # IdentifierContext + self._transformArgument = None # TransformArgumentContext + self.argument = list() # of TransformArgumentContexts + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def transformArgument(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.TransformArgumentContext) + else: + return self.getTypedRuleContext(SqlBaseParser.TransformArgumentContext,i) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterApplyTransform" ): + listener.enterApplyTransform(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitApplyTransform" ): + listener.exitApplyTransform(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitApplyTransform" ): + return visitor.visitApplyTransform(self) + else: + return visitor.visitChildren(self) + + + + def transform(self): + + localctx = SqlBaseParser.TransformContext(self, self._ctx, self.state) + self.enterRule(localctx, 232, self.RULE_transform) + self._la = 0 # Token type + try: + self.state = 2718 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,349,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.IdentityTransformContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 2705 + self.qualifiedName() + pass + + elif la_ == 2: + localctx = SqlBaseParser.ApplyTransformContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 2706 + localctx.transformName = self.identifier() + self.state = 2707 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2708 + localctx._transformArgument = self.transformArgument() + localctx.argument.append(localctx._transformArgument) + self.state = 2713 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2709 + self.match(SqlBaseParser.COMMA) + self.state = 2710 + localctx._transformArgument = self.transformArgument() + localctx.argument.append(localctx._transformArgument) + self.state = 2715 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2716 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class TransformArgumentContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def qualifiedName(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedNameContext,0) + + + def constant(self): + return self.getTypedRuleContext(SqlBaseParser.ConstantContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_transformArgument + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTransformArgument" ): + listener.enterTransformArgument(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTransformArgument" ): + listener.exitTransformArgument(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTransformArgument" ): + return visitor.visitTransformArgument(self) + else: + return visitor.visitChildren(self) + + + + + def transformArgument(self): + + localctx = SqlBaseParser.TransformArgumentContext(self, self._ctx, self.state) + self.enterRule(localctx, 234, self.RULE_transformArgument) + try: + self.state = 2722 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,350,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2720 + self.qualifiedName() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2721 + self.constant() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ExpressionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_expression + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterExpression" ): + listener.enterExpression(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitExpression" ): + listener.exitExpression(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitExpression" ): + return visitor.visitExpression(self) + else: + return visitor.visitChildren(self) + + + + + def expression(self): + + localctx = SqlBaseParser.ExpressionContext(self, self._ctx, self.state) + self.enterRule(localctx, 236, self.RULE_expression) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2724 + self.booleanExpression(0) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ExpressionSeqContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_expressionSeq + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterExpressionSeq" ): + listener.enterExpressionSeq(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitExpressionSeq" ): + listener.exitExpressionSeq(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitExpressionSeq" ): + return visitor.visitExpressionSeq(self) + else: + return visitor.visitChildren(self) + + + + + def expressionSeq(self): + + localctx = SqlBaseParser.ExpressionSeqContext(self, self._ctx, self.state) + self.enterRule(localctx, 238, self.RULE_expressionSeq) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2726 + self.expression() + self.state = 2731 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2727 + self.match(SqlBaseParser.COMMA) + self.state = 2728 + self.expression() + self.state = 2733 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class BooleanExpressionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_booleanExpression + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + class LogicalNotContext(BooleanExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.BooleanExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterLogicalNot" ): + listener.enterLogicalNot(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitLogicalNot" ): + listener.exitLogicalNot(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitLogicalNot" ): + return visitor.visitLogicalNot(self) + else: + return visitor.visitChildren(self) + + + class PredicatedContext(BooleanExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.BooleanExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def valueExpression(self): + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,0) + + def predicate(self): + return self.getTypedRuleContext(SqlBaseParser.PredicateContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPredicated" ): + listener.enterPredicated(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPredicated" ): + listener.exitPredicated(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPredicated" ): + return visitor.visitPredicated(self) + else: + return visitor.visitChildren(self) + + + class ExistsContext(BooleanExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.BooleanExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterExists" ): + listener.enterExists(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitExists" ): + listener.exitExists(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitExists" ): + return visitor.visitExists(self) + else: + return visitor.visitChildren(self) + + + class LogicalBinaryContext(BooleanExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.BooleanExpressionContext + super().__init__(parser) + self.left = None # BooleanExpressionContext + self.operator = None # Token + self.right = None # BooleanExpressionContext + self.copyFrom(ctx) + + def booleanExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.BooleanExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,i) + + def AND(self): + return self.getToken(SqlBaseParser.AND, 0) + def OR(self): + return self.getToken(SqlBaseParser.OR, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterLogicalBinary" ): + listener.enterLogicalBinary(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitLogicalBinary" ): + listener.exitLogicalBinary(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitLogicalBinary" ): + return visitor.visitLogicalBinary(self) + else: + return visitor.visitChildren(self) + + + + def booleanExpression(self, _p:int=0): + _parentctx = self._ctx + _parentState = self.state + localctx = SqlBaseParser.BooleanExpressionContext(self, self._ctx, _parentState) + _prevctx = localctx + _startState = 240 + self.enterRecursionRule(localctx, 240, self.RULE_booleanExpression, _p) + try: + self.enterOuterAlt(localctx, 1) + self.state = 2746 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,353,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.LogicalNotContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + + self.state = 2735 + self.match(SqlBaseParser.NOT) + self.state = 2736 + self.booleanExpression(5) + pass + + elif la_ == 2: + localctx = SqlBaseParser.ExistsContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2737 + self.match(SqlBaseParser.EXISTS) + self.state = 2738 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2739 + self.query() + self.state = 2740 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 3: + localctx = SqlBaseParser.PredicatedContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2742 + self.valueExpression(0) + self.state = 2744 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,352,self._ctx) + if la_ == 1: + self.state = 2743 + self.predicate() + + + pass + + + self._ctx.stop = self._input.LT(-1) + self.state = 2756 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,355,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + if self._parseListeners is not None: + self.triggerExitRuleEvent() + _prevctx = localctx + self.state = 2754 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,354,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.LogicalBinaryContext(self, SqlBaseParser.BooleanExpressionContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_booleanExpression) + self.state = 2748 + if not self.precpred(self._ctx, 2): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 2)") + self.state = 2749 + localctx.operator = self.match(SqlBaseParser.AND) + self.state = 2750 + localctx.right = self.booleanExpression(3) + pass + + elif la_ == 2: + localctx = SqlBaseParser.LogicalBinaryContext(self, SqlBaseParser.BooleanExpressionContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_booleanExpression) + self.state = 2751 + if not self.precpred(self._ctx, 1): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 1)") + self.state = 2752 + localctx.operator = self.match(SqlBaseParser.OR) + self.state = 2753 + localctx.right = self.booleanExpression(2) + pass + + + self.state = 2758 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,355,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.unrollRecursionContexts(_parentctx) + return localctx + + + class PredicateContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.kind = None # Token + self.lower = None # ValueExpressionContext + self.upper = None # ValueExpressionContext + self.pattern = None # ValueExpressionContext + self.quantifier = None # Token + self.escapeChar = None # StringLitContext + self.right = None # ValueExpressionContext + + def AND(self): + return self.getToken(SqlBaseParser.AND, 0) + + def BETWEEN(self): + return self.getToken(SqlBaseParser.BETWEEN, 0) + + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + + def RLIKE(self): + return self.getToken(SqlBaseParser.RLIKE, 0) + + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + + def ILIKE(self): + return self.getToken(SqlBaseParser.ILIKE, 0) + + def ANY(self): + return self.getToken(SqlBaseParser.ANY, 0) + + def SOME(self): + return self.getToken(SqlBaseParser.SOME, 0) + + def ALL(self): + return self.getToken(SqlBaseParser.ALL, 0) + + def ESCAPE(self): + return self.getToken(SqlBaseParser.ESCAPE, 0) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def IS(self): + return self.getToken(SqlBaseParser.IS, 0) + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def TRUE(self): + return self.getToken(SqlBaseParser.TRUE, 0) + + def FALSE(self): + return self.getToken(SqlBaseParser.FALSE, 0) + + def UNKNOWN(self): + return self.getToken(SqlBaseParser.UNKNOWN, 0) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + + def DISTINCT(self): + return self.getToken(SqlBaseParser.DISTINCT, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_predicate + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPredicate" ): + listener.enterPredicate(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPredicate" ): + listener.exitPredicate(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPredicate" ): + return visitor.visitPredicate(self) + else: + return visitor.visitChildren(self) + + + + + def predicate(self): + + localctx = SqlBaseParser.PredicateContext(self, self._ctx, self.state) + self.enterRule(localctx, 242, self.RULE_predicate) + self._la = 0 # Token type + try: + self.state = 2841 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,369,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 2760 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2759 + self.match(SqlBaseParser.NOT) + + + self.state = 2762 + localctx.kind = self.match(SqlBaseParser.BETWEEN) + self.state = 2763 + localctx.lower = self.valueExpression(0) + self.state = 2764 + self.match(SqlBaseParser.AND) + self.state = 2765 + localctx.upper = self.valueExpression(0) + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 2768 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2767 + self.match(SqlBaseParser.NOT) + + + self.state = 2770 + localctx.kind = self.match(SqlBaseParser.IN) + self.state = 2771 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2772 + self.expression() + self.state = 2777 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2773 + self.match(SqlBaseParser.COMMA) + self.state = 2774 + self.expression() + self.state = 2779 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2780 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 2783 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2782 + self.match(SqlBaseParser.NOT) + + + self.state = 2785 + localctx.kind = self.match(SqlBaseParser.IN) + self.state = 2786 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2787 + self.query() + self.state = 2788 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 4: + self.enterOuterAlt(localctx, 4) + self.state = 2791 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2790 + self.match(SqlBaseParser.NOT) + + + self.state = 2793 + localctx.kind = self.match(SqlBaseParser.RLIKE) + self.state = 2794 + localctx.pattern = self.valueExpression(0) + pass + + elif la_ == 5: + self.enterOuterAlt(localctx, 5) + self.state = 2796 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2795 + self.match(SqlBaseParser.NOT) + + + self.state = 2798 + localctx.kind = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==142 or _la==143): + localctx.kind = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2799 + localctx.quantifier = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==10 or _la==16 or _la==244): + localctx.quantifier = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2813 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,363,self._ctx) + if la_ == 1: + self.state = 2800 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2801 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 2: + self.state = 2802 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2803 + self.expression() + self.state = 2808 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2804 + self.match(SqlBaseParser.COMMA) + self.state = 2805 + self.expression() + self.state = 2810 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 2811 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + + pass + + elif la_ == 6: + self.enterOuterAlt(localctx, 6) + self.state = 2816 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2815 + self.match(SqlBaseParser.NOT) + + + self.state = 2818 + localctx.kind = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==142 or _la==143): + localctx.kind = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2819 + localctx.pattern = self.valueExpression(0) + self.state = 2822 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,365,self._ctx) + if la_ == 1: + self.state = 2820 + self.match(SqlBaseParser.ESCAPE) + self.state = 2821 + localctx.escapeChar = self.stringLit() + + + pass + + elif la_ == 7: + self.enterOuterAlt(localctx, 7) + self.state = 2824 + self.match(SqlBaseParser.IS) + self.state = 2826 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2825 + self.match(SqlBaseParser.NOT) + + + self.state = 2828 + localctx.kind = self.match(SqlBaseParser.NULL) + pass + + elif la_ == 8: + self.enterOuterAlt(localctx, 8) + self.state = 2829 + self.match(SqlBaseParser.IS) + self.state = 2831 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2830 + self.match(SqlBaseParser.NOT) + + + self.state = 2833 + localctx.kind = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==96 or _la==277 or _la==286): + localctx.kind = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + pass + + elif la_ == 9: + self.enterOuterAlt(localctx, 9) + self.state = 2834 + self.match(SqlBaseParser.IS) + self.state = 2836 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 2835 + self.match(SqlBaseParser.NOT) + + + self.state = 2838 + localctx.kind = self.match(SqlBaseParser.DISTINCT) + self.state = 2839 + self.match(SqlBaseParser.FROM) + self.state = 2840 + localctx.right = self.valueExpression(0) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ValueExpressionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_valueExpression + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + class ValueExpressionDefaultContext(ValueExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ValueExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def primaryExpression(self): + return self.getTypedRuleContext(SqlBaseParser.PrimaryExpressionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterValueExpressionDefault" ): + listener.enterValueExpressionDefault(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitValueExpressionDefault" ): + listener.exitValueExpressionDefault(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitValueExpressionDefault" ): + return visitor.visitValueExpressionDefault(self) + else: + return visitor.visitChildren(self) + + + class ComparisonContext(ValueExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ValueExpressionContext + super().__init__(parser) + self.left = None # ValueExpressionContext + self.right = None # ValueExpressionContext + self.copyFrom(ctx) + + def comparisonOperator(self): + return self.getTypedRuleContext(SqlBaseParser.ComparisonOperatorContext,0) + + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterComparison" ): + listener.enterComparison(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitComparison" ): + listener.exitComparison(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitComparison" ): + return visitor.visitComparison(self) + else: + return visitor.visitChildren(self) + + + class ArithmeticBinaryContext(ValueExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ValueExpressionContext + super().__init__(parser) + self.left = None # ValueExpressionContext + self.operator = None # Token + self.right = None # ValueExpressionContext + self.copyFrom(ctx) + + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + def ASTERISK(self): + return self.getToken(SqlBaseParser.ASTERISK, 0) + def SLASH(self): + return self.getToken(SqlBaseParser.SLASH, 0) + def PERCENT(self): + return self.getToken(SqlBaseParser.PERCENT, 0) + def DIV(self): + return self.getToken(SqlBaseParser.DIV, 0) + def PLUS(self): + return self.getToken(SqlBaseParser.PLUS, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + def CONCAT_PIPE(self): + return self.getToken(SqlBaseParser.CONCAT_PIPE, 0) + def AMPERSAND(self): + return self.getToken(SqlBaseParser.AMPERSAND, 0) + def HAT(self): + return self.getToken(SqlBaseParser.HAT, 0) + def PIPE(self): + return self.getToken(SqlBaseParser.PIPE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterArithmeticBinary" ): + listener.enterArithmeticBinary(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitArithmeticBinary" ): + listener.exitArithmeticBinary(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitArithmeticBinary" ): + return visitor.visitArithmeticBinary(self) + else: + return visitor.visitChildren(self) + + + class ArithmeticUnaryContext(ValueExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ValueExpressionContext + super().__init__(parser) + self.operator = None # Token + self.copyFrom(ctx) + + def valueExpression(self): + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,0) + + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + def PLUS(self): + return self.getToken(SqlBaseParser.PLUS, 0) + def TILDE(self): + return self.getToken(SqlBaseParser.TILDE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterArithmeticUnary" ): + listener.enterArithmeticUnary(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitArithmeticUnary" ): + listener.exitArithmeticUnary(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitArithmeticUnary" ): + return visitor.visitArithmeticUnary(self) + else: + return visitor.visitChildren(self) + + + + def valueExpression(self, _p:int=0): + _parentctx = self._ctx + _parentState = self.state + localctx = SqlBaseParser.ValueExpressionContext(self, self._ctx, _parentState) + _prevctx = localctx + _startState = 244 + self.enterRecursionRule(localctx, 244, self.RULE_valueExpression, _p) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2847 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,370,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.ValueExpressionDefaultContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + + self.state = 2844 + self.primaryExpression(0) + pass + + elif la_ == 2: + localctx = SqlBaseParser.ArithmeticUnaryContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2845 + localctx.operator = self._input.LT(1) + _la = self._input.LA(1) + if not(((((_la - 316)) & ~0x3f) == 0 and ((1 << (_la - 316)) & 35) != 0)): + localctx.operator = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2846 + self.valueExpression(7) + pass + + + self._ctx.stop = self._input.LT(-1) + self.state = 2870 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,372,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + if self._parseListeners is not None: + self.triggerExitRuleEvent() + _prevctx = localctx + self.state = 2868 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,371,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.ArithmeticBinaryContext(self, SqlBaseParser.ValueExpressionContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_valueExpression) + self.state = 2849 + if not self.precpred(self._ctx, 6): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 6)") + self.state = 2850 + localctx.operator = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==81 or ((((_la - 318)) & ~0x3f) == 0 and ((1 << (_la - 318)) & 7) != 0)): + localctx.operator = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2851 + localctx.right = self.valueExpression(7) + pass + + elif la_ == 2: + localctx = SqlBaseParser.ArithmeticBinaryContext(self, SqlBaseParser.ValueExpressionContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_valueExpression) + self.state = 2852 + if not self.precpred(self._ctx, 5): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 5)") + self.state = 2853 + localctx.operator = self._input.LT(1) + _la = self._input.LA(1) + if not(((((_la - 316)) & ~0x3f) == 0 and ((1 << (_la - 316)) & 259) != 0)): + localctx.operator = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2854 + localctx.right = self.valueExpression(6) + pass + + elif la_ == 3: + localctx = SqlBaseParser.ArithmeticBinaryContext(self, SqlBaseParser.ValueExpressionContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_valueExpression) + self.state = 2855 + if not self.precpred(self._ctx, 4): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 4)") + self.state = 2856 + localctx.operator = self.match(SqlBaseParser.AMPERSAND) + self.state = 2857 + localctx.right = self.valueExpression(5) + pass + + elif la_ == 4: + localctx = SqlBaseParser.ArithmeticBinaryContext(self, SqlBaseParser.ValueExpressionContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_valueExpression) + self.state = 2858 + if not self.precpred(self._ctx, 3): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 3)") + self.state = 2859 + localctx.operator = self.match(SqlBaseParser.HAT) + self.state = 2860 + localctx.right = self.valueExpression(4) + pass + + elif la_ == 5: + localctx = SqlBaseParser.ArithmeticBinaryContext(self, SqlBaseParser.ValueExpressionContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_valueExpression) + self.state = 2861 + if not self.precpred(self._ctx, 2): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 2)") + self.state = 2862 + localctx.operator = self.match(SqlBaseParser.PIPE) + self.state = 2863 + localctx.right = self.valueExpression(3) + pass + + elif la_ == 6: + localctx = SqlBaseParser.ComparisonContext(self, SqlBaseParser.ValueExpressionContext(self, _parentctx, _parentState)) + localctx.left = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_valueExpression) + self.state = 2864 + if not self.precpred(self._ctx, 1): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 1)") + self.state = 2865 + self.comparisonOperator() + self.state = 2866 + localctx.right = self.valueExpression(2) + pass + + + self.state = 2872 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,372,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.unrollRecursionContexts(_parentctx) + return localctx + + + class DatetimeUnitContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def YEAR(self): + return self.getToken(SqlBaseParser.YEAR, 0) + + def QUARTER(self): + return self.getToken(SqlBaseParser.QUARTER, 0) + + def MONTH(self): + return self.getToken(SqlBaseParser.MONTH, 0) + + def WEEK(self): + return self.getToken(SqlBaseParser.WEEK, 0) + + def DAY(self): + return self.getToken(SqlBaseParser.DAY, 0) + + def DAYOFYEAR(self): + return self.getToken(SqlBaseParser.DAYOFYEAR, 0) + + def HOUR(self): + return self.getToken(SqlBaseParser.HOUR, 0) + + def MINUTE(self): + return self.getToken(SqlBaseParser.MINUTE, 0) + + def SECOND(self): + return self.getToken(SqlBaseParser.SECOND, 0) + + def MILLISECOND(self): + return self.getToken(SqlBaseParser.MILLISECOND, 0) + + def MICROSECOND(self): + return self.getToken(SqlBaseParser.MICROSECOND, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_datetimeUnit + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDatetimeUnit" ): + listener.enterDatetimeUnit(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDatetimeUnit" ): + listener.exitDatetimeUnit(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDatetimeUnit" ): + return visitor.visitDatetimeUnit(self) + else: + return visitor.visitChildren(self) + + + + + def datetimeUnit(self): + + localctx = SqlBaseParser.DatetimeUnitContext(self, self._ctx, self.state) + self.enterRule(localctx, 246, self.RULE_datetimeUnit) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 2873 + _la = self._input.LA(1) + if not(_la==61 or _la==63 or ((((_la - 117)) & ~0x3f) == 0 and ((1 << (_la - 117)) & 93458488360961) != 0) or _la==204 or _la==229 or _la==298 or _la==305): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PrimaryExpressionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_primaryExpression + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + class StructContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self._namedExpression = None # NamedExpressionContext + self.argument = list() # of NamedExpressionContexts + self.copyFrom(ctx) + + def STRUCT(self): + return self.getToken(SqlBaseParser.STRUCT, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def namedExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.NamedExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.NamedExpressionContext,i) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterStruct" ): + listener.enterStruct(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitStruct" ): + listener.exitStruct(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitStruct" ): + return visitor.visitStruct(self) + else: + return visitor.visitChildren(self) + + + class DereferenceContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.base = None # PrimaryExpressionContext + self.fieldName = None # IdentifierContext + self.copyFrom(ctx) + + def DOT(self): + return self.getToken(SqlBaseParser.DOT, 0) + def primaryExpression(self): + return self.getTypedRuleContext(SqlBaseParser.PrimaryExpressionContext,0) + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDereference" ): + listener.enterDereference(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDereference" ): + listener.exitDereference(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDereference" ): + return visitor.visitDereference(self) + else: + return visitor.visitChildren(self) + + + class TimestampaddContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.name = None # Token + self.unit = None # DatetimeUnitContext + self.unitsAmount = None # ValueExpressionContext + self.timestamp = None # ValueExpressionContext + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def datetimeUnit(self): + return self.getTypedRuleContext(SqlBaseParser.DatetimeUnitContext,0) + + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + def TIMESTAMPADD(self): + return self.getToken(SqlBaseParser.TIMESTAMPADD, 0) + def DATEADD(self): + return self.getToken(SqlBaseParser.DATEADD, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTimestampadd" ): + listener.enterTimestampadd(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTimestampadd" ): + listener.exitTimestampadd(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTimestampadd" ): + return visitor.visitTimestampadd(self) + else: + return visitor.visitChildren(self) + + + class SubstringContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.str_ = None # ValueExpressionContext + self.pos = None # ValueExpressionContext + self.len_ = None # ValueExpressionContext + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def SUBSTR(self): + return self.getToken(SqlBaseParser.SUBSTR, 0) + def SUBSTRING(self): + return self.getToken(SqlBaseParser.SUBSTRING, 0) + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + def FOR(self): + return self.getToken(SqlBaseParser.FOR, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSubstring" ): + listener.enterSubstring(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSubstring" ): + listener.exitSubstring(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSubstring" ): + return visitor.visitSubstring(self) + else: + return visitor.visitChildren(self) + + + class CastContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.name = None # Token + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + def dataType(self): + return self.getTypedRuleContext(SqlBaseParser.DataTypeContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def CAST(self): + return self.getToken(SqlBaseParser.CAST, 0) + def TRY_CAST(self): + return self.getToken(SqlBaseParser.TRY_CAST, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCast" ): + listener.enterCast(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCast" ): + listener.exitCast(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCast" ): + return visitor.visitCast(self) + else: + return visitor.visitChildren(self) + + + class LambdaContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def identifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,i) + + def ARROW(self): + return self.getToken(SqlBaseParser.ARROW, 0) + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterLambda" ): + listener.enterLambda(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitLambda" ): + listener.exitLambda(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitLambda" ): + return visitor.visitLambda(self) + else: + return visitor.visitChildren(self) + + + class ParenthesizedExpressionContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterParenthesizedExpression" ): + listener.enterParenthesizedExpression(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitParenthesizedExpression" ): + listener.exitParenthesizedExpression(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitParenthesizedExpression" ): + return visitor.visitParenthesizedExpression(self) + else: + return visitor.visitChildren(self) + + + class Any_valueContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def ANY_VALUE(self): + return self.getToken(SqlBaseParser.ANY_VALUE, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def IGNORE(self): + return self.getToken(SqlBaseParser.IGNORE, 0) + def NULLS(self): + return self.getToken(SqlBaseParser.NULLS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAny_value" ): + listener.enterAny_value(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAny_value" ): + listener.exitAny_value(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAny_value" ): + return visitor.visitAny_value(self) + else: + return visitor.visitChildren(self) + + + class TrimContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.trimOption = None # Token + self.trimStr = None # ValueExpressionContext + self.srcStr = None # ValueExpressionContext + self.copyFrom(ctx) + + def TRIM(self): + return self.getToken(SqlBaseParser.TRIM, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + def BOTH(self): + return self.getToken(SqlBaseParser.BOTH, 0) + def LEADING(self): + return self.getToken(SqlBaseParser.LEADING, 0) + def TRAILING(self): + return self.getToken(SqlBaseParser.TRAILING, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTrim" ): + listener.enterTrim(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTrim" ): + listener.exitTrim(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTrim" ): + return visitor.visitTrim(self) + else: + return visitor.visitChildren(self) + + + class SimpleCaseContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.value = None # ExpressionContext + self.elseExpression = None # ExpressionContext + self.copyFrom(ctx) + + def CASE(self): + return self.getToken(SqlBaseParser.CASE, 0) + def END(self): + return self.getToken(SqlBaseParser.END, 0) + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + def whenClause(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.WhenClauseContext) + else: + return self.getTypedRuleContext(SqlBaseParser.WhenClauseContext,i) + + def ELSE(self): + return self.getToken(SqlBaseParser.ELSE, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSimpleCase" ): + listener.enterSimpleCase(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSimpleCase" ): + listener.exitSimpleCase(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSimpleCase" ): + return visitor.visitSimpleCase(self) + else: + return visitor.visitChildren(self) + + + class CurrentLikeContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.name = None # Token + self.copyFrom(ctx) + + def CURRENT_DATE(self): + return self.getToken(SqlBaseParser.CURRENT_DATE, 0) + def CURRENT_TIMESTAMP(self): + return self.getToken(SqlBaseParser.CURRENT_TIMESTAMP, 0) + def CURRENT_USER(self): + return self.getToken(SqlBaseParser.CURRENT_USER, 0) + def USER(self): + return self.getToken(SqlBaseParser.USER, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCurrentLike" ): + listener.enterCurrentLike(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCurrentLike" ): + listener.exitCurrentLike(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCurrentLike" ): + return visitor.visitCurrentLike(self) + else: + return visitor.visitChildren(self) + + + class ColumnReferenceContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterColumnReference" ): + listener.enterColumnReference(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitColumnReference" ): + listener.exitColumnReference(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitColumnReference" ): + return visitor.visitColumnReference(self) + else: + return visitor.visitChildren(self) + + + class RowConstructorContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def namedExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.NamedExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.NamedExpressionContext,i) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRowConstructor" ): + listener.enterRowConstructor(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRowConstructor" ): + listener.exitRowConstructor(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRowConstructor" ): + return visitor.visitRowConstructor(self) + else: + return visitor.visitChildren(self) + + + class LastContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def LAST(self): + return self.getToken(SqlBaseParser.LAST, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def IGNORE(self): + return self.getToken(SqlBaseParser.IGNORE, 0) + def NULLS(self): + return self.getToken(SqlBaseParser.NULLS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterLast" ): + listener.enterLast(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitLast" ): + listener.exitLast(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitLast" ): + return visitor.visitLast(self) + else: + return visitor.visitChildren(self) + + + class StarContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def ASTERISK(self): + return self.getToken(SqlBaseParser.ASTERISK, 0) + def qualifiedName(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedNameContext,0) + + def DOT(self): + return self.getToken(SqlBaseParser.DOT, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterStar" ): + listener.enterStar(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitStar" ): + listener.exitStar(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitStar" ): + return visitor.visitStar(self) + else: + return visitor.visitChildren(self) + + + class OverlayContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.input_ = None # ValueExpressionContext + self.replace = None # ValueExpressionContext + self.position = None # ValueExpressionContext + self.length = None # ValueExpressionContext + self.copyFrom(ctx) + + def OVERLAY(self): + return self.getToken(SqlBaseParser.OVERLAY, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def PLACING(self): + return self.getToken(SqlBaseParser.PLACING, 0) + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + def FOR(self): + return self.getToken(SqlBaseParser.FOR, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterOverlay" ): + listener.enterOverlay(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitOverlay" ): + listener.exitOverlay(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitOverlay" ): + return visitor.visitOverlay(self) + else: + return visitor.visitChildren(self) + + + class SubscriptContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.value = None # PrimaryExpressionContext + self.index = None # ValueExpressionContext + self.copyFrom(ctx) + + def LEFT_BRACKET(self): + return self.getToken(SqlBaseParser.LEFT_BRACKET, 0) + def RIGHT_BRACKET(self): + return self.getToken(SqlBaseParser.RIGHT_BRACKET, 0) + def primaryExpression(self): + return self.getTypedRuleContext(SqlBaseParser.PrimaryExpressionContext,0) + + def valueExpression(self): + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSubscript" ): + listener.enterSubscript(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSubscript" ): + listener.exitSubscript(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSubscript" ): + return visitor.visitSubscript(self) + else: + return visitor.visitChildren(self) + + + class TimestampdiffContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.name = None # Token + self.unit = None # DatetimeUnitContext + self.startTimestamp = None # ValueExpressionContext + self.endTimestamp = None # ValueExpressionContext + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def datetimeUnit(self): + return self.getTypedRuleContext(SqlBaseParser.DatetimeUnitContext,0) + + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + def TIMESTAMPDIFF(self): + return self.getToken(SqlBaseParser.TIMESTAMPDIFF, 0) + def DATEDIFF(self): + return self.getToken(SqlBaseParser.DATEDIFF, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTimestampdiff" ): + listener.enterTimestampdiff(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTimestampdiff" ): + listener.exitTimestampdiff(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTimestampdiff" ): + return visitor.visitTimestampdiff(self) + else: + return visitor.visitChildren(self) + + + class SubqueryExpressionContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def query(self): + return self.getTypedRuleContext(SqlBaseParser.QueryContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSubqueryExpression" ): + listener.enterSubqueryExpression(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSubqueryExpression" ): + listener.exitSubqueryExpression(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSubqueryExpression" ): + return visitor.visitSubqueryExpression(self) + else: + return visitor.visitChildren(self) + + + class ConstantDefaultContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def constant(self): + return self.getTypedRuleContext(SqlBaseParser.ConstantContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterConstantDefault" ): + listener.enterConstantDefault(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitConstantDefault" ): + listener.exitConstantDefault(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitConstantDefault" ): + return visitor.visitConstantDefault(self) + else: + return visitor.visitChildren(self) + + + class ExtractContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.field = None # IdentifierContext + self.source = None # ValueExpressionContext + self.copyFrom(ctx) + + def EXTRACT(self): + return self.getToken(SqlBaseParser.EXTRACT, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def valueExpression(self): + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterExtract" ): + listener.enterExtract(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitExtract" ): + listener.exitExtract(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitExtract" ): + return visitor.visitExtract(self) + else: + return visitor.visitChildren(self) + + + class PercentileContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.name = None # Token + self.percentage = None # ValueExpressionContext + self.where = None # BooleanExpressionContext + self.copyFrom(ctx) + + def LEFT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.LEFT_PAREN) + else: + return self.getToken(SqlBaseParser.LEFT_PAREN, i) + def RIGHT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.RIGHT_PAREN) + else: + return self.getToken(SqlBaseParser.RIGHT_PAREN, i) + def WITHIN(self): + return self.getToken(SqlBaseParser.WITHIN, 0) + def GROUP(self): + return self.getToken(SqlBaseParser.GROUP, 0) + def ORDER(self): + return self.getToken(SqlBaseParser.ORDER, 0) + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + def sortItem(self): + return self.getTypedRuleContext(SqlBaseParser.SortItemContext,0) + + def valueExpression(self): + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,0) + + def PERCENTILE_CONT(self): + return self.getToken(SqlBaseParser.PERCENTILE_CONT, 0) + def PERCENTILE_DISC(self): + return self.getToken(SqlBaseParser.PERCENTILE_DISC, 0) + def FILTER(self): + return self.getToken(SqlBaseParser.FILTER, 0) + def WHERE(self): + return self.getToken(SqlBaseParser.WHERE, 0) + def OVER(self): + return self.getToken(SqlBaseParser.OVER, 0) + def windowSpec(self): + return self.getTypedRuleContext(SqlBaseParser.WindowSpecContext,0) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPercentile" ): + listener.enterPercentile(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPercentile" ): + listener.exitPercentile(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPercentile" ): + return visitor.visitPercentile(self) + else: + return visitor.visitChildren(self) + + + class FunctionCallContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self._expression = None # ExpressionContext + self.argument = list() # of ExpressionContexts + self.where = None # BooleanExpressionContext + self.nullsOption = None # Token + self.copyFrom(ctx) + + def functionName(self): + return self.getTypedRuleContext(SqlBaseParser.FunctionNameContext,0) + + def LEFT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.LEFT_PAREN) + else: + return self.getToken(SqlBaseParser.LEFT_PAREN, i) + def RIGHT_PAREN(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.RIGHT_PAREN) + else: + return self.getToken(SqlBaseParser.RIGHT_PAREN, i) + def FILTER(self): + return self.getToken(SqlBaseParser.FILTER, 0) + def WHERE(self): + return self.getToken(SqlBaseParser.WHERE, 0) + def NULLS(self): + return self.getToken(SqlBaseParser.NULLS, 0) + def OVER(self): + return self.getToken(SqlBaseParser.OVER, 0) + def windowSpec(self): + return self.getTypedRuleContext(SqlBaseParser.WindowSpecContext,0) + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + def booleanExpression(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanExpressionContext,0) + + def IGNORE(self): + return self.getToken(SqlBaseParser.IGNORE, 0) + def RESPECT(self): + return self.getToken(SqlBaseParser.RESPECT, 0) + def setQuantifier(self): + return self.getTypedRuleContext(SqlBaseParser.SetQuantifierContext,0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFunctionCall" ): + listener.enterFunctionCall(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFunctionCall" ): + listener.exitFunctionCall(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFunctionCall" ): + return visitor.visitFunctionCall(self) + else: + return visitor.visitChildren(self) + + + class SearchedCaseContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.elseExpression = None # ExpressionContext + self.copyFrom(ctx) + + def CASE(self): + return self.getToken(SqlBaseParser.CASE, 0) + def END(self): + return self.getToken(SqlBaseParser.END, 0) + def whenClause(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.WhenClauseContext) + else: + return self.getTypedRuleContext(SqlBaseParser.WhenClauseContext,i) + + def ELSE(self): + return self.getToken(SqlBaseParser.ELSE, 0) + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSearchedCase" ): + listener.enterSearchedCase(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSearchedCase" ): + listener.exitSearchedCase(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSearchedCase" ): + return visitor.visitSearchedCase(self) + else: + return visitor.visitChildren(self) + + + class PositionContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.substr = None # ValueExpressionContext + self.str_ = None # ValueExpressionContext + self.copyFrom(ctx) + + def POSITION(self): + return self.getToken(SqlBaseParser.POSITION, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def valueExpression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ValueExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ValueExpressionContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPosition" ): + listener.enterPosition(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPosition" ): + listener.exitPosition(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPosition" ): + return visitor.visitPosition(self) + else: + return visitor.visitChildren(self) + + + class FirstContext(PrimaryExpressionContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.PrimaryExpressionContext + super().__init__(parser) + self.copyFrom(ctx) + + def FIRST(self): + return self.getToken(SqlBaseParser.FIRST, 0) + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def IGNORE(self): + return self.getToken(SqlBaseParser.IGNORE, 0) + def NULLS(self): + return self.getToken(SqlBaseParser.NULLS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFirst" ): + listener.enterFirst(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFirst" ): + listener.exitFirst(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFirst" ): + return visitor.visitFirst(self) + else: + return visitor.visitChildren(self) + + + + def primaryExpression(self, _p:int=0): + _parentctx = self._ctx + _parentState = self.state + localctx = SqlBaseParser.PrimaryExpressionContext(self, self._ctx, _parentState) + _prevctx = localctx + _startState = 248 + self.enterRecursionRule(localctx, 248, self.RULE_primaryExpression, _p) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3113 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,396,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.CurrentLikeContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + + self.state = 2876 + localctx.name = self._input.LT(1) + _la = self._input.LA(1) + if not((((_la) & ~0x3f) == 0 and ((1 << _la) & 1873497444986126336) != 0) or _la==292): + localctx.name = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + pass + + elif la_ == 2: + localctx = SqlBaseParser.TimestampaddContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2877 + localctx.name = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==67 or _la==268): + localctx.name = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2878 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2879 + localctx.unit = self.datetimeUnit() + self.state = 2880 + self.match(SqlBaseParser.COMMA) + self.state = 2881 + localctx.unitsAmount = self.valueExpression(0) + self.state = 2882 + self.match(SqlBaseParser.COMMA) + self.state = 2883 + localctx.timestamp = self.valueExpression(0) + self.state = 2884 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 3: + localctx = SqlBaseParser.TimestampdiffContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2886 + localctx.name = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==68 or _la==269): + localctx.name = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2887 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2888 + localctx.unit = self.datetimeUnit() + self.state = 2889 + self.match(SqlBaseParser.COMMA) + self.state = 2890 + localctx.startTimestamp = self.valueExpression(0) + self.state = 2891 + self.match(SqlBaseParser.COMMA) + self.state = 2892 + localctx.endTimestamp = self.valueExpression(0) + self.state = 2893 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 4: + localctx = SqlBaseParser.SearchedCaseContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2895 + self.match(SqlBaseParser.CASE) + self.state = 2897 + self._errHandler.sync(self) + _la = self._input.LA(1) + while True: + self.state = 2896 + self.whenClause() + self.state = 2899 + self._errHandler.sync(self) + _la = self._input.LA(1) + if not (_la==300): + break + + self.state = 2903 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==83: + self.state = 2901 + self.match(SqlBaseParser.ELSE) + self.state = 2902 + localctx.elseExpression = self.expression() + + + self.state = 2905 + self.match(SqlBaseParser.END) + pass + + elif la_ == 5: + localctx = SqlBaseParser.SimpleCaseContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2907 + self.match(SqlBaseParser.CASE) + self.state = 2908 + localctx.value = self.expression() + self.state = 2910 + self._errHandler.sync(self) + _la = self._input.LA(1) + while True: + self.state = 2909 + self.whenClause() + self.state = 2912 + self._errHandler.sync(self) + _la = self._input.LA(1) + if not (_la==300): + break + + self.state = 2916 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==83: + self.state = 2914 + self.match(SqlBaseParser.ELSE) + self.state = 2915 + localctx.elseExpression = self.expression() + + + self.state = 2918 + self.match(SqlBaseParser.END) + pass + + elif la_ == 6: + localctx = SqlBaseParser.CastContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2920 + localctx.name = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==32 or _la==279): + localctx.name = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 2921 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2922 + self.expression() + self.state = 2923 + self.match(SqlBaseParser.AS) + self.state = 2924 + self.dataType() + self.state = 2925 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 7: + localctx = SqlBaseParser.StructContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2927 + self.match(SqlBaseParser.STRUCT) + self.state = 2928 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2937 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -252) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 8074954131875299327) != 0) or ((((_la - 321)) & ~0x3f) == 0 and ((1 << (_la - 321)) & 4193825) != 0): + self.state = 2929 + localctx._namedExpression = self.namedExpression() + localctx.argument.append(localctx._namedExpression) + self.state = 2934 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 2930 + self.match(SqlBaseParser.COMMA) + self.state = 2931 + localctx._namedExpression = self.namedExpression() + localctx.argument.append(localctx._namedExpression) + self.state = 2936 + self._errHandler.sync(self) + _la = self._input.LA(1) + + + + self.state = 2939 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 8: + localctx = SqlBaseParser.FirstContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2940 + self.match(SqlBaseParser.FIRST) + self.state = 2941 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2942 + self.expression() + self.state = 2945 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==120: + self.state = 2943 + self.match(SqlBaseParser.IGNORE) + self.state = 2944 + self.match(SqlBaseParser.NULLS) + + + self.state = 2947 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 9: + localctx = SqlBaseParser.Any_valueContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2949 + self.match(SqlBaseParser.ANY_VALUE) + self.state = 2950 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2951 + self.expression() + self.state = 2954 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==120: + self.state = 2952 + self.match(SqlBaseParser.IGNORE) + self.state = 2953 + self.match(SqlBaseParser.NULLS) + + + self.state = 2956 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 10: + localctx = SqlBaseParser.LastContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2958 + self.match(SqlBaseParser.LAST) + self.state = 2959 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2960 + self.expression() + self.state = 2963 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==120: + self.state = 2961 + self.match(SqlBaseParser.IGNORE) + self.state = 2962 + self.match(SqlBaseParser.NULLS) + + + self.state = 2965 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 11: + localctx = SqlBaseParser.PositionContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2967 + self.match(SqlBaseParser.POSITION) + self.state = 2968 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2969 + localctx.substr = self.valueExpression(0) + self.state = 2970 + self.match(SqlBaseParser.IN) + self.state = 2971 + localctx.str_ = self.valueExpression(0) + self.state = 2972 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 12: + localctx = SqlBaseParser.ConstantDefaultContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2974 + self.constant() + pass + + elif la_ == 13: + localctx = SqlBaseParser.StarContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2975 + self.match(SqlBaseParser.ASTERISK) + pass + + elif la_ == 14: + localctx = SqlBaseParser.StarContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2976 + self.qualifiedName() + self.state = 2977 + self.match(SqlBaseParser.DOT) + self.state = 2978 + self.match(SqlBaseParser.ASTERISK) + pass + + elif la_ == 15: + localctx = SqlBaseParser.RowConstructorContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2980 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2981 + self.namedExpression() + self.state = 2984 + self._errHandler.sync(self) + _la = self._input.LA(1) + while True: + self.state = 2982 + self.match(SqlBaseParser.COMMA) + self.state = 2983 + self.namedExpression() + self.state = 2986 + self._errHandler.sync(self) + _la = self._input.LA(1) + if not (_la==4): + break + + self.state = 2988 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 16: + localctx = SqlBaseParser.SubqueryExpressionContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2990 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 2991 + self.query() + self.state = 2992 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 17: + localctx = SqlBaseParser.FunctionCallContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 2994 + self.functionName() + self.state = 2995 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3007 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -252) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 8074954131875299327) != 0) or ((((_la - 321)) & ~0x3f) == 0 and ((1 << (_la - 321)) & 4193825) != 0): + self.state = 2997 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,383,self._ctx) + if la_ == 1: + self.state = 2996 + self.setQuantifier() + + + self.state = 2999 + localctx._expression = self.expression() + localctx.argument.append(localctx._expression) + self.state = 3004 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3000 + self.match(SqlBaseParser.COMMA) + self.state = 3001 + localctx._expression = self.expression() + localctx.argument.append(localctx._expression) + self.state = 3006 + self._errHandler.sync(self) + _la = self._input.LA(1) + + + + self.state = 3009 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 3016 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,386,self._ctx) + if la_ == 1: + self.state = 3010 + self.match(SqlBaseParser.FILTER) + self.state = 3011 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3012 + self.match(SqlBaseParser.WHERE) + self.state = 3013 + localctx.where = self.booleanExpression(0) + self.state = 3014 + self.match(SqlBaseParser.RIGHT_PAREN) + + + self.state = 3020 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,387,self._ctx) + if la_ == 1: + self.state = 3018 + localctx.nullsOption = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==120 or _la==218): + localctx.nullsOption = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3019 + self.match(SqlBaseParser.NULLS) + + + self.state = 3024 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,388,self._ctx) + if la_ == 1: + self.state = 3022 + self.match(SqlBaseParser.OVER) + self.state = 3023 + self.windowSpec() + + + pass + + elif la_ == 18: + localctx = SqlBaseParser.LambdaContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3026 + self.identifier() + self.state = 3027 + self.match(SqlBaseParser.ARROW) + self.state = 3028 + self.expression() + pass + + elif la_ == 19: + localctx = SqlBaseParser.LambdaContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3030 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3031 + self.identifier() + self.state = 3034 + self._errHandler.sync(self) + _la = self._input.LA(1) + while True: + self.state = 3032 + self.match(SqlBaseParser.COMMA) + self.state = 3033 + self.identifier() + self.state = 3036 + self._errHandler.sync(self) + _la = self._input.LA(1) + if not (_la==4): + break + + self.state = 3038 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 3039 + self.match(SqlBaseParser.ARROW) + self.state = 3040 + self.expression() + pass + + elif la_ == 20: + localctx = SqlBaseParser.ColumnReferenceContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3042 + self.identifier() + pass + + elif la_ == 21: + localctx = SqlBaseParser.ParenthesizedExpressionContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3043 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3044 + self.expression() + self.state = 3045 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 22: + localctx = SqlBaseParser.ExtractContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3047 + self.match(SqlBaseParser.EXTRACT) + self.state = 3048 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3049 + localctx.field = self.identifier() + self.state = 3050 + self.match(SqlBaseParser.FROM) + self.state = 3051 + localctx.source = self.valueExpression(0) + self.state = 3052 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 23: + localctx = SqlBaseParser.SubstringContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3054 + _la = self._input.LA(1) + if not(_la==253 or _la==254): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3055 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3056 + localctx.str_ = self.valueExpression(0) + self.state = 3057 + _la = self._input.LA(1) + if not(_la==4 or _la==107): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3058 + localctx.pos = self.valueExpression(0) + self.state = 3061 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==4 or _la==103: + self.state = 3059 + _la = self._input.LA(1) + if not(_la==4 or _la==103): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3060 + localctx.len_ = self.valueExpression(0) + + + self.state = 3063 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 24: + localctx = SqlBaseParser.TrimContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3065 + self.match(SqlBaseParser.TRIM) + self.state = 3066 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3068 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,391,self._ctx) + if la_ == 1: + self.state = 3067 + localctx.trimOption = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==25 or _la==140 or _la==272): + localctx.trimOption = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + self.state = 3071 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,392,self._ctx) + if la_ == 1: + self.state = 3070 + localctx.trimStr = self.valueExpression(0) + + + self.state = 3073 + self.match(SqlBaseParser.FROM) + self.state = 3074 + localctx.srcStr = self.valueExpression(0) + self.state = 3075 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 25: + localctx = SqlBaseParser.OverlayContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3077 + self.match(SqlBaseParser.OVERLAY) + self.state = 3078 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3079 + localctx.input_ = self.valueExpression(0) + self.state = 3080 + self.match(SqlBaseParser.PLACING) + self.state = 3081 + localctx.replace = self.valueExpression(0) + self.state = 3082 + self.match(SqlBaseParser.FROM) + self.state = 3083 + localctx.position = self.valueExpression(0) + self.state = 3086 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==103: + self.state = 3084 + self.match(SqlBaseParser.FOR) + self.state = 3085 + localctx.length = self.valueExpression(0) + + + self.state = 3088 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 26: + localctx = SqlBaseParser.PercentileContext(self, localctx) + self._ctx = localctx + _prevctx = localctx + self.state = 3090 + localctx.name = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==193 or _la==194): + localctx.name = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3091 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3092 + localctx.percentage = self.valueExpression(0) + self.state = 3093 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 3094 + self.match(SqlBaseParser.WITHIN) + self.state = 3095 + self.match(SqlBaseParser.GROUP) + self.state = 3096 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3097 + self.match(SqlBaseParser.ORDER) + self.state = 3098 + self.match(SqlBaseParser.BY) + self.state = 3099 + self.sortItem() + self.state = 3100 + self.match(SqlBaseParser.RIGHT_PAREN) + self.state = 3107 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,394,self._ctx) + if la_ == 1: + self.state = 3101 + self.match(SqlBaseParser.FILTER) + self.state = 3102 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3103 + self.match(SqlBaseParser.WHERE) + self.state = 3104 + localctx.where = self.booleanExpression(0) + self.state = 3105 + self.match(SqlBaseParser.RIGHT_PAREN) + + + self.state = 3111 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,395,self._ctx) + if la_ == 1: + self.state = 3109 + self.match(SqlBaseParser.OVER) + self.state = 3110 + self.windowSpec() + + + pass + + + self._ctx.stop = self._input.LT(-1) + self.state = 3125 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,398,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + if self._parseListeners is not None: + self.triggerExitRuleEvent() + _prevctx = localctx + self.state = 3123 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,397,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.SubscriptContext(self, SqlBaseParser.PrimaryExpressionContext(self, _parentctx, _parentState)) + localctx.value = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_primaryExpression) + self.state = 3115 + if not self.precpred(self._ctx, 9): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 9)") + self.state = 3116 + self.match(SqlBaseParser.LEFT_BRACKET) + self.state = 3117 + localctx.index = self.valueExpression(0) + self.state = 3118 + self.match(SqlBaseParser.RIGHT_BRACKET) + pass + + elif la_ == 2: + localctx = SqlBaseParser.DereferenceContext(self, SqlBaseParser.PrimaryExpressionContext(self, _parentctx, _parentState)) + localctx.base = _prevctx + self.pushNewRecursionContext(localctx, _startState, self.RULE_primaryExpression) + self.state = 3120 + if not self.precpred(self._ctx, 7): + from antlr4.error.Errors import FailedPredicateException + raise FailedPredicateException(self, "self.precpred(self._ctx, 7)") + self.state = 3121 + self.match(SqlBaseParser.DOT) + self.state = 3122 + localctx.fieldName = self.identifier() + pass + + + self.state = 3127 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,398,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.unrollRecursionContexts(_parentctx) + return localctx + + + class ConstantContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_constant + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class NullLiteralContext(ConstantContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ConstantContext + super().__init__(parser) + self.copyFrom(ctx) + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNullLiteral" ): + listener.enterNullLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNullLiteral" ): + listener.exitNullLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNullLiteral" ): + return visitor.visitNullLiteral(self) + else: + return visitor.visitChildren(self) + + + class StringLiteralContext(ConstantContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ConstantContext + super().__init__(parser) + self.copyFrom(ctx) + + def stringLit(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.StringLitContext) + else: + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterStringLiteral" ): + listener.enterStringLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitStringLiteral" ): + listener.exitStringLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitStringLiteral" ): + return visitor.visitStringLiteral(self) + else: + return visitor.visitChildren(self) + + + class TypeConstructorContext(ConstantContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ConstantContext + super().__init__(parser) + self.copyFrom(ctx) + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTypeConstructor" ): + listener.enterTypeConstructor(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTypeConstructor" ): + listener.exitTypeConstructor(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTypeConstructor" ): + return visitor.visitTypeConstructor(self) + else: + return visitor.visitChildren(self) + + + class ParameterLiteralContext(ConstantContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ConstantContext + super().__init__(parser) + self.copyFrom(ctx) + + def COLON(self): + return self.getToken(SqlBaseParser.COLON, 0) + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterParameterLiteral" ): + listener.enterParameterLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitParameterLiteral" ): + listener.exitParameterLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitParameterLiteral" ): + return visitor.visitParameterLiteral(self) + else: + return visitor.visitChildren(self) + + + class IntervalLiteralContext(ConstantContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ConstantContext + super().__init__(parser) + self.copyFrom(ctx) + + def interval(self): + return self.getTypedRuleContext(SqlBaseParser.IntervalContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIntervalLiteral" ): + listener.enterIntervalLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIntervalLiteral" ): + listener.exitIntervalLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIntervalLiteral" ): + return visitor.visitIntervalLiteral(self) + else: + return visitor.visitChildren(self) + + + class NumericLiteralContext(ConstantContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ConstantContext + super().__init__(parser) + self.copyFrom(ctx) + + def number(self): + return self.getTypedRuleContext(SqlBaseParser.NumberContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNumericLiteral" ): + listener.enterNumericLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNumericLiteral" ): + listener.exitNumericLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNumericLiteral" ): + return visitor.visitNumericLiteral(self) + else: + return visitor.visitChildren(self) + + + class BooleanLiteralContext(ConstantContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ConstantContext + super().__init__(parser) + self.copyFrom(ctx) + + def booleanValue(self): + return self.getTypedRuleContext(SqlBaseParser.BooleanValueContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterBooleanLiteral" ): + listener.enterBooleanLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitBooleanLiteral" ): + listener.exitBooleanLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitBooleanLiteral" ): + return visitor.visitBooleanLiteral(self) + else: + return visitor.visitChildren(self) + + + + def constant(self): + + localctx = SqlBaseParser.ConstantContext(self, self._ctx, self.state) + self.enterRule(localctx, 250, self.RULE_constant) + try: + self.state = 3142 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,400,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.NullLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 3128 + self.match(SqlBaseParser.NULL) + pass + + elif la_ == 2: + localctx = SqlBaseParser.ParameterLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 3129 + self.match(SqlBaseParser.COLON) + self.state = 3130 + self.identifier() + pass + + elif la_ == 3: + localctx = SqlBaseParser.IntervalLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 3131 + self.interval() + pass + + elif la_ == 4: + localctx = SqlBaseParser.TypeConstructorContext(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 3132 + self.identifier() + self.state = 3133 + self.stringLit() + pass + + elif la_ == 5: + localctx = SqlBaseParser.NumericLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 5) + self.state = 3135 + self.number() + pass + + elif la_ == 6: + localctx = SqlBaseParser.BooleanLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 6) + self.state = 3136 + self.booleanValue() + pass + + elif la_ == 7: + localctx = SqlBaseParser.StringLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 7) + self.state = 3138 + self._errHandler.sync(self) + _alt = 1 + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt == 1: + self.state = 3137 + self.stringLit() + + else: + raise NoViableAltException(self) + self.state = 3140 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,399,self._ctx) + + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ComparisonOperatorContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def EQ(self): + return self.getToken(SqlBaseParser.EQ, 0) + + def NEQ(self): + return self.getToken(SqlBaseParser.NEQ, 0) + + def NEQJ(self): + return self.getToken(SqlBaseParser.NEQJ, 0) + + def LT(self): + return self.getToken(SqlBaseParser.LT, 0) + + def LTE(self): + return self.getToken(SqlBaseParser.LTE, 0) + + def GT(self): + return self.getToken(SqlBaseParser.GT, 0) + + def GTE(self): + return self.getToken(SqlBaseParser.GTE, 0) + + def NSEQ(self): + return self.getToken(SqlBaseParser.NSEQ, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_comparisonOperator + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterComparisonOperator" ): + listener.enterComparisonOperator(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitComparisonOperator" ): + listener.exitComparisonOperator(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitComparisonOperator" ): + return visitor.visitComparisonOperator(self) + else: + return visitor.visitChildren(self) + + + + + def comparisonOperator(self): + + localctx = SqlBaseParser.ComparisonOperatorContext(self, self._ctx, self.state) + self.enterRule(localctx, 252, self.RULE_comparisonOperator) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3144 + _la = self._input.LA(1) + if not(((((_la - 308)) & ~0x3f) == 0 and ((1 << (_la - 308)) & 255) != 0)): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ArithmeticOperatorContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def PLUS(self): + return self.getToken(SqlBaseParser.PLUS, 0) + + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def ASTERISK(self): + return self.getToken(SqlBaseParser.ASTERISK, 0) + + def SLASH(self): + return self.getToken(SqlBaseParser.SLASH, 0) + + def PERCENT(self): + return self.getToken(SqlBaseParser.PERCENT, 0) + + def DIV(self): + return self.getToken(SqlBaseParser.DIV, 0) + + def TILDE(self): + return self.getToken(SqlBaseParser.TILDE, 0) + + def AMPERSAND(self): + return self.getToken(SqlBaseParser.AMPERSAND, 0) + + def PIPE(self): + return self.getToken(SqlBaseParser.PIPE, 0) + + def CONCAT_PIPE(self): + return self.getToken(SqlBaseParser.CONCAT_PIPE, 0) + + def HAT(self): + return self.getToken(SqlBaseParser.HAT, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_arithmeticOperator + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterArithmeticOperator" ): + listener.enterArithmeticOperator(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitArithmeticOperator" ): + listener.exitArithmeticOperator(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitArithmeticOperator" ): + return visitor.visitArithmeticOperator(self) + else: + return visitor.visitChildren(self) + + + + + def arithmeticOperator(self): + + localctx = SqlBaseParser.ArithmeticOperatorContext(self, self._ctx, self.state) + self.enterRule(localctx, 254, self.RULE_arithmeticOperator) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3146 + _la = self._input.LA(1) + if not(_la==81 or ((((_la - 316)) & ~0x3f) == 0 and ((1 << (_la - 316)) & 1023) != 0)): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class PredicateOperatorContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def OR(self): + return self.getToken(SqlBaseParser.OR, 0) + + def AND(self): + return self.getToken(SqlBaseParser.AND, 0) + + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_predicateOperator + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPredicateOperator" ): + listener.enterPredicateOperator(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPredicateOperator" ): + listener.exitPredicateOperator(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPredicateOperator" ): + return visitor.visitPredicateOperator(self) + else: + return visitor.visitChildren(self) + + + + + def predicateOperator(self): + + localctx = SqlBaseParser.PredicateOperatorContext(self, self._ctx, self.state) + self.enterRule(localctx, 256, self.RULE_predicateOperator) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3148 + _la = self._input.LA(1) + if not(_la==14 or ((((_la - 122)) & ~0x3f) == 0 and ((1 << (_la - 122)) & 577586652210266113) != 0)): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class BooleanValueContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def TRUE(self): + return self.getToken(SqlBaseParser.TRUE, 0) + + def FALSE(self): + return self.getToken(SqlBaseParser.FALSE, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_booleanValue + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterBooleanValue" ): + listener.enterBooleanValue(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitBooleanValue" ): + listener.exitBooleanValue(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitBooleanValue" ): + return visitor.visitBooleanValue(self) + else: + return visitor.visitChildren(self) + + + + + def booleanValue(self): + + localctx = SqlBaseParser.BooleanValueContext(self, self._ctx, self.state) + self.enterRule(localctx, 258, self.RULE_booleanValue) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3150 + _la = self._input.LA(1) + if not(_la==96 or _la==277): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class IntervalContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def INTERVAL(self): + return self.getToken(SqlBaseParser.INTERVAL, 0) + + def errorCapturingMultiUnitsInterval(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingMultiUnitsIntervalContext,0) + + + def errorCapturingUnitToUnitInterval(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingUnitToUnitIntervalContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_interval + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterInterval" ): + listener.enterInterval(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitInterval" ): + listener.exitInterval(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitInterval" ): + return visitor.visitInterval(self) + else: + return visitor.visitChildren(self) + + + + + def interval(self): + + localctx = SqlBaseParser.IntervalContext(self, self._ctx, self.state) + self.enterRule(localctx, 260, self.RULE_interval) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3152 + self.match(SqlBaseParser.INTERVAL) + self.state = 3155 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,401,self._ctx) + if la_ == 1: + self.state = 3153 + self.errorCapturingMultiUnitsInterval() + pass + + elif la_ == 2: + self.state = 3154 + self.errorCapturingUnitToUnitInterval() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ErrorCapturingMultiUnitsIntervalContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.body = None # MultiUnitsIntervalContext + + def multiUnitsInterval(self): + return self.getTypedRuleContext(SqlBaseParser.MultiUnitsIntervalContext,0) + + + def unitToUnitInterval(self): + return self.getTypedRuleContext(SqlBaseParser.UnitToUnitIntervalContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_errorCapturingMultiUnitsInterval + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterErrorCapturingMultiUnitsInterval" ): + listener.enterErrorCapturingMultiUnitsInterval(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitErrorCapturingMultiUnitsInterval" ): + listener.exitErrorCapturingMultiUnitsInterval(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitErrorCapturingMultiUnitsInterval" ): + return visitor.visitErrorCapturingMultiUnitsInterval(self) + else: + return visitor.visitChildren(self) + + + + + def errorCapturingMultiUnitsInterval(self): + + localctx = SqlBaseParser.ErrorCapturingMultiUnitsIntervalContext(self, self._ctx, self.state) + self.enterRule(localctx, 262, self.RULE_errorCapturingMultiUnitsInterval) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3157 + localctx.body = self.multiUnitsInterval() + self.state = 3159 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,402,self._ctx) + if la_ == 1: + self.state = 3158 + self.unitToUnitInterval() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class MultiUnitsIntervalContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self._unitInMultiUnits = None # UnitInMultiUnitsContext + self.unit = list() # of UnitInMultiUnitsContexts + + def intervalValue(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IntervalValueContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IntervalValueContext,i) + + + def unitInMultiUnits(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.UnitInMultiUnitsContext) + else: + return self.getTypedRuleContext(SqlBaseParser.UnitInMultiUnitsContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_multiUnitsInterval + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterMultiUnitsInterval" ): + listener.enterMultiUnitsInterval(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitMultiUnitsInterval" ): + listener.exitMultiUnitsInterval(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitMultiUnitsInterval" ): + return visitor.visitMultiUnitsInterval(self) + else: + return visitor.visitChildren(self) + + + + + def multiUnitsInterval(self): + + localctx = SqlBaseParser.MultiUnitsIntervalContext(self, self._ctx, self.state) + self.enterRule(localctx, 264, self.RULE_multiUnitsInterval) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3164 + self._errHandler.sync(self) + _alt = 1 + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt == 1: + self.state = 3161 + self.intervalValue() + self.state = 3162 + localctx._unitInMultiUnits = self.unitInMultiUnits() + localctx.unit.append(localctx._unitInMultiUnits) + + else: + raise NoViableAltException(self) + self.state = 3166 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,403,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ErrorCapturingUnitToUnitIntervalContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.body = None # UnitToUnitIntervalContext + self.error1 = None # MultiUnitsIntervalContext + self.error2 = None # UnitToUnitIntervalContext + + def unitToUnitInterval(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.UnitToUnitIntervalContext) + else: + return self.getTypedRuleContext(SqlBaseParser.UnitToUnitIntervalContext,i) + + + def multiUnitsInterval(self): + return self.getTypedRuleContext(SqlBaseParser.MultiUnitsIntervalContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_errorCapturingUnitToUnitInterval + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterErrorCapturingUnitToUnitInterval" ): + listener.enterErrorCapturingUnitToUnitInterval(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitErrorCapturingUnitToUnitInterval" ): + listener.exitErrorCapturingUnitToUnitInterval(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitErrorCapturingUnitToUnitInterval" ): + return visitor.visitErrorCapturingUnitToUnitInterval(self) + else: + return visitor.visitChildren(self) + + + + + def errorCapturingUnitToUnitInterval(self): + + localctx = SqlBaseParser.ErrorCapturingUnitToUnitIntervalContext(self, self._ctx, self.state) + self.enterRule(localctx, 266, self.RULE_errorCapturingUnitToUnitInterval) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3168 + localctx.body = self.unitToUnitInterval() + self.state = 3171 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,404,self._ctx) + if la_ == 1: + self.state = 3169 + localctx.error1 = self.multiUnitsInterval() + + elif la_ == 2: + self.state = 3170 + localctx.error2 = self.unitToUnitInterval() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnitToUnitIntervalContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.value = None # IntervalValueContext + self.from_ = None # UnitInUnitToUnitContext + self.to = None # UnitInUnitToUnitContext + + def TO(self): + return self.getToken(SqlBaseParser.TO, 0) + + def intervalValue(self): + return self.getTypedRuleContext(SqlBaseParser.IntervalValueContext,0) + + + def unitInUnitToUnit(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.UnitInUnitToUnitContext) + else: + return self.getTypedRuleContext(SqlBaseParser.UnitInUnitToUnitContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_unitToUnitInterval + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnitToUnitInterval" ): + listener.enterUnitToUnitInterval(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnitToUnitInterval" ): + listener.exitUnitToUnitInterval(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnitToUnitInterval" ): + return visitor.visitUnitToUnitInterval(self) + else: + return visitor.visitChildren(self) + + + + + def unitToUnitInterval(self): + + localctx = SqlBaseParser.UnitToUnitIntervalContext(self, self._ctx, self.state) + self.enterRule(localctx, 268, self.RULE_unitToUnitInterval) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3173 + localctx.value = self.intervalValue() + self.state = 3174 + localctx.from_ = self.unitInUnitToUnit() + self.state = 3175 + self.match(SqlBaseParser.TO) + self.state = 3176 + localctx.to = self.unitInUnitToUnit() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class IntervalValueContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def INTEGER_VALUE(self): + return self.getToken(SqlBaseParser.INTEGER_VALUE, 0) + + def DECIMAL_VALUE(self): + return self.getToken(SqlBaseParser.DECIMAL_VALUE, 0) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def PLUS(self): + return self.getToken(SqlBaseParser.PLUS, 0) + + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_intervalValue + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIntervalValue" ): + listener.enterIntervalValue(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIntervalValue" ): + listener.exitIntervalValue(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIntervalValue" ): + return visitor.visitIntervalValue(self) + else: + return visitor.visitChildren(self) + + + + + def intervalValue(self): + + localctx = SqlBaseParser.IntervalValueContext(self, self._ctx, self.state) + self.enterRule(localctx, 270, self.RULE_intervalValue) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3179 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==316 or _la==317: + self.state = 3178 + _la = self._input.LA(1) + if not(_la==316 or _la==317): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + self.state = 3184 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [335]: + self.state = 3181 + self.match(SqlBaseParser.INTEGER_VALUE) + pass + elif token in [337]: + self.state = 3182 + self.match(SqlBaseParser.DECIMAL_VALUE) + pass + elif token in [330, 331]: + self.state = 3183 + self.stringLit() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnitInMultiUnitsContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def NANOSECOND(self): + return self.getToken(SqlBaseParser.NANOSECOND, 0) + + def NANOSECONDS(self): + return self.getToken(SqlBaseParser.NANOSECONDS, 0) + + def MICROSECOND(self): + return self.getToken(SqlBaseParser.MICROSECOND, 0) + + def MICROSECONDS(self): + return self.getToken(SqlBaseParser.MICROSECONDS, 0) + + def MILLISECOND(self): + return self.getToken(SqlBaseParser.MILLISECOND, 0) + + def MILLISECONDS(self): + return self.getToken(SqlBaseParser.MILLISECONDS, 0) + + def SECOND(self): + return self.getToken(SqlBaseParser.SECOND, 0) + + def SECONDS(self): + return self.getToken(SqlBaseParser.SECONDS, 0) + + def MINUTE(self): + return self.getToken(SqlBaseParser.MINUTE, 0) + + def MINUTES(self): + return self.getToken(SqlBaseParser.MINUTES, 0) + + def HOUR(self): + return self.getToken(SqlBaseParser.HOUR, 0) + + def HOURS(self): + return self.getToken(SqlBaseParser.HOURS, 0) + + def DAY(self): + return self.getToken(SqlBaseParser.DAY, 0) + + def DAYS(self): + return self.getToken(SqlBaseParser.DAYS, 0) + + def WEEK(self): + return self.getToken(SqlBaseParser.WEEK, 0) + + def WEEKS(self): + return self.getToken(SqlBaseParser.WEEKS, 0) + + def MONTH(self): + return self.getToken(SqlBaseParser.MONTH, 0) + + def MONTHS(self): + return self.getToken(SqlBaseParser.MONTHS, 0) + + def YEAR(self): + return self.getToken(SqlBaseParser.YEAR, 0) + + def YEARS(self): + return self.getToken(SqlBaseParser.YEARS, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_unitInMultiUnits + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnitInMultiUnits" ): + listener.enterUnitInMultiUnits(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnitInMultiUnits" ): + listener.exitUnitInMultiUnits(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnitInMultiUnits" ): + return visitor.visitUnitInMultiUnits(self) + else: + return visitor.visitChildren(self) + + + + + def unitInMultiUnits(self): + + localctx = SqlBaseParser.UnitInMultiUnitsContext(self, self._ctx, self.state) + self.enterRule(localctx, 272, self.RULE_unitInMultiUnits) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3186 + _la = self._input.LA(1) + if not(_la==61 or _la==62 or ((((_la - 117)) & ~0x3f) == 0 and ((1 << (_la - 117)) & 7035774906138627) != 0) or _la==229 or _la==230 or ((((_la - 298)) & ~0x3f) == 0 and ((1 << (_la - 298)) & 387) != 0)): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class UnitInUnitToUnitContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def SECOND(self): + return self.getToken(SqlBaseParser.SECOND, 0) + + def MINUTE(self): + return self.getToken(SqlBaseParser.MINUTE, 0) + + def HOUR(self): + return self.getToken(SqlBaseParser.HOUR, 0) + + def DAY(self): + return self.getToken(SqlBaseParser.DAY, 0) + + def MONTH(self): + return self.getToken(SqlBaseParser.MONTH, 0) + + def YEAR(self): + return self.getToken(SqlBaseParser.YEAR, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_unitInUnitToUnit + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnitInUnitToUnit" ): + listener.enterUnitInUnitToUnit(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnitInUnitToUnit" ): + listener.exitUnitInUnitToUnit(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnitInUnitToUnit" ): + return visitor.visitUnitInUnitToUnit(self) + else: + return visitor.visitChildren(self) + + + + + def unitInUnitToUnit(self): + + localctx = SqlBaseParser.UnitInUnitToUnitContext(self, self._ctx, self.state) + self.enterRule(localctx, 274, self.RULE_unitInUnitToUnit) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3188 + _la = self._input.LA(1) + if not(_la==61 or ((((_la - 117)) & ~0x3f) == 0 and ((1 << (_la - 117)) & 87960930222081) != 0) or _la==229 or _la==305): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ColPositionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.position = None # Token + self.afterCol = None # ErrorCapturingIdentifierContext + + def FIRST(self): + return self.getToken(SqlBaseParser.FIRST, 0) + + def AFTER(self): + return self.getToken(SqlBaseParser.AFTER, 0) + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_colPosition + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterColPosition" ): + listener.enterColPosition(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitColPosition" ): + listener.exitColPosition(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitColPosition" ): + return visitor.visitColPosition(self) + else: + return visitor.visitChildren(self) + + + + + def colPosition(self): + + localctx = SqlBaseParser.ColPositionContext(self, self._ctx, self.state) + self.enterRule(localctx, 276, self.RULE_colPosition) + try: + self.state = 3193 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [101]: + self.enterOuterAlt(localctx, 1) + self.state = 3190 + localctx.position = self.match(SqlBaseParser.FIRST) + pass + elif token in [9]: + self.enterOuterAlt(localctx, 2) + self.state = 3191 + localctx.position = self.match(SqlBaseParser.AFTER) + self.state = 3192 + localctx.afterCol = self.errorCapturingIdentifier() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class DataTypeContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_dataType + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class ComplexDataTypeContext(DataTypeContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DataTypeContext + super().__init__(parser) + self.complex_ = None # Token + self.copyFrom(ctx) + + def LT(self): + return self.getToken(SqlBaseParser.LT, 0) + def dataType(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.DataTypeContext) + else: + return self.getTypedRuleContext(SqlBaseParser.DataTypeContext,i) + + def GT(self): + return self.getToken(SqlBaseParser.GT, 0) + def ARRAY(self): + return self.getToken(SqlBaseParser.ARRAY, 0) + def COMMA(self): + return self.getToken(SqlBaseParser.COMMA, 0) + def MAP(self): + return self.getToken(SqlBaseParser.MAP, 0) + def STRUCT(self): + return self.getToken(SqlBaseParser.STRUCT, 0) + def NEQ(self): + return self.getToken(SqlBaseParser.NEQ, 0) + def complexColTypeList(self): + return self.getTypedRuleContext(SqlBaseParser.ComplexColTypeListContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterComplexDataType" ): + listener.enterComplexDataType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitComplexDataType" ): + listener.exitComplexDataType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitComplexDataType" ): + return visitor.visitComplexDataType(self) + else: + return visitor.visitChildren(self) + + + class YearMonthIntervalDataTypeContext(DataTypeContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DataTypeContext + super().__init__(parser) + self.from_ = None # Token + self.to = None # Token + self.copyFrom(ctx) + + def INTERVAL(self): + return self.getToken(SqlBaseParser.INTERVAL, 0) + def YEAR(self): + return self.getToken(SqlBaseParser.YEAR, 0) + def MONTH(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.MONTH) + else: + return self.getToken(SqlBaseParser.MONTH, i) + def TO(self): + return self.getToken(SqlBaseParser.TO, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterYearMonthIntervalDataType" ): + listener.enterYearMonthIntervalDataType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitYearMonthIntervalDataType" ): + listener.exitYearMonthIntervalDataType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitYearMonthIntervalDataType" ): + return visitor.visitYearMonthIntervalDataType(self) + else: + return visitor.visitChildren(self) + + + class DayTimeIntervalDataTypeContext(DataTypeContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DataTypeContext + super().__init__(parser) + self.from_ = None # Token + self.to = None # Token + self.copyFrom(ctx) + + def INTERVAL(self): + return self.getToken(SqlBaseParser.INTERVAL, 0) + def DAY(self): + return self.getToken(SqlBaseParser.DAY, 0) + def HOUR(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.HOUR) + else: + return self.getToken(SqlBaseParser.HOUR, i) + def MINUTE(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.MINUTE) + else: + return self.getToken(SqlBaseParser.MINUTE, i) + def SECOND(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.SECOND) + else: + return self.getToken(SqlBaseParser.SECOND, i) + def TO(self): + return self.getToken(SqlBaseParser.TO, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDayTimeIntervalDataType" ): + listener.enterDayTimeIntervalDataType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDayTimeIntervalDataType" ): + listener.exitDayTimeIntervalDataType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDayTimeIntervalDataType" ): + return visitor.visitDayTimeIntervalDataType(self) + else: + return visitor.visitChildren(self) + + + class PrimitiveDataTypeContext(DataTypeContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.DataTypeContext + super().__init__(parser) + self.copyFrom(ctx) + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def INTEGER_VALUE(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.INTEGER_VALUE) + else: + return self.getToken(SqlBaseParser.INTEGER_VALUE, i) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterPrimitiveDataType" ): + listener.enterPrimitiveDataType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitPrimitiveDataType" ): + listener.exitPrimitiveDataType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitPrimitiveDataType" ): + return visitor.visitPrimitiveDataType(self) + else: + return visitor.visitChildren(self) + + + + def dataType(self): + + localctx = SqlBaseParser.DataTypeContext(self, self._ctx, self.state) + self.enterRule(localctx, 278, self.RULE_dataType) + self._la = 0 # Token type + try: + self.state = 3241 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,414,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.ComplexDataTypeContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 3195 + localctx.complex_ = self.match(SqlBaseParser.ARRAY) + self.state = 3196 + self.match(SqlBaseParser.LT) + self.state = 3197 + self.dataType() + self.state = 3198 + self.match(SqlBaseParser.GT) + pass + + elif la_ == 2: + localctx = SqlBaseParser.ComplexDataTypeContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 3200 + localctx.complex_ = self.match(SqlBaseParser.MAP) + self.state = 3201 + self.match(SqlBaseParser.LT) + self.state = 3202 + self.dataType() + self.state = 3203 + self.match(SqlBaseParser.COMMA) + self.state = 3204 + self.dataType() + self.state = 3205 + self.match(SqlBaseParser.GT) + pass + + elif la_ == 3: + localctx = SqlBaseParser.ComplexDataTypeContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 3207 + localctx.complex_ = self.match(SqlBaseParser.STRUCT) + self.state = 3214 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [312]: + self.state = 3208 + self.match(SqlBaseParser.LT) + self.state = 3210 + self._errHandler.sync(self) + _la = self._input.LA(1) + if (((_la) & ~0x3f) == 0 and ((1 << _la) & -256) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -1) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -1) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -1) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503599627370495) != 0) or ((((_la - 331)) & ~0x3f) == 0 and ((1 << (_la - 331)) & 3073) != 0): + self.state = 3209 + self.complexColTypeList() + + + self.state = 3212 + self.match(SqlBaseParser.GT) + pass + elif token in [310]: + self.state = 3213 + self.match(SqlBaseParser.NEQ) + pass + else: + raise NoViableAltException(self) + + pass + + elif la_ == 4: + localctx = SqlBaseParser.YearMonthIntervalDataTypeContext(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 3216 + self.match(SqlBaseParser.INTERVAL) + self.state = 3217 + localctx.from_ = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==163 or _la==305): + localctx.from_ = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3220 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,410,self._ctx) + if la_ == 1: + self.state = 3218 + self.match(SqlBaseParser.TO) + self.state = 3219 + localctx.to = self.match(SqlBaseParser.MONTH) + + + pass + + elif la_ == 5: + localctx = SqlBaseParser.DayTimeIntervalDataTypeContext(self, localctx) + self.enterOuterAlt(localctx, 5) + self.state = 3222 + self.match(SqlBaseParser.INTERVAL) + self.state = 3223 + localctx.from_ = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==61 or _la==117 or _la==161 or _la==229): + localctx.from_ = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3226 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,411,self._ctx) + if la_ == 1: + self.state = 3224 + self.match(SqlBaseParser.TO) + self.state = 3225 + localctx.to = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==117 or _la==161 or _la==229): + localctx.to = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + + + pass + + elif la_ == 6: + localctx = SqlBaseParser.PrimitiveDataTypeContext(self, localctx) + self.enterOuterAlt(localctx, 6) + self.state = 3228 + self.identifier() + self.state = 3239 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,413,self._ctx) + if la_ == 1: + self.state = 3229 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3230 + self.match(SqlBaseParser.INTEGER_VALUE) + self.state = 3235 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3231 + self.match(SqlBaseParser.COMMA) + self.state = 3232 + self.match(SqlBaseParser.INTEGER_VALUE) + self.state = 3237 + self._errHandler.sync(self) + _la = self._input.LA(1) + + self.state = 3238 + self.match(SqlBaseParser.RIGHT_PAREN) + + + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QualifiedColTypeWithPositionListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def qualifiedColTypeWithPosition(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.QualifiedColTypeWithPositionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.QualifiedColTypeWithPositionContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_qualifiedColTypeWithPositionList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQualifiedColTypeWithPositionList" ): + listener.enterQualifiedColTypeWithPositionList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQualifiedColTypeWithPositionList" ): + listener.exitQualifiedColTypeWithPositionList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQualifiedColTypeWithPositionList" ): + return visitor.visitQualifiedColTypeWithPositionList(self) + else: + return visitor.visitChildren(self) + + + + + def qualifiedColTypeWithPositionList(self): + + localctx = SqlBaseParser.QualifiedColTypeWithPositionListContext(self, self._ctx, self.state) + self.enterRule(localctx, 280, self.RULE_qualifiedColTypeWithPositionList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3243 + self.qualifiedColTypeWithPosition() + self.state = 3248 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3244 + self.match(SqlBaseParser.COMMA) + self.state = 3245 + self.qualifiedColTypeWithPosition() + self.state = 3250 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QualifiedColTypeWithPositionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.name = None # MultipartIdentifierContext + + def dataType(self): + return self.getTypedRuleContext(SqlBaseParser.DataTypeContext,0) + + + def multipartIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.MultipartIdentifierContext,0) + + + def colDefinitionDescriptorWithPosition(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ColDefinitionDescriptorWithPositionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ColDefinitionDescriptorWithPositionContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_qualifiedColTypeWithPosition + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQualifiedColTypeWithPosition" ): + listener.enterQualifiedColTypeWithPosition(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQualifiedColTypeWithPosition" ): + listener.exitQualifiedColTypeWithPosition(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQualifiedColTypeWithPosition" ): + return visitor.visitQualifiedColTypeWithPosition(self) + else: + return visitor.visitChildren(self) + + + + + def qualifiedColTypeWithPosition(self): + + localctx = SqlBaseParser.QualifiedColTypeWithPositionContext(self, self._ctx, self.state) + self.enterRule(localctx, 282, self.RULE_qualifiedColTypeWithPosition) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3251 + localctx.name = self.multipartIdentifier() + self.state = 3252 + self.dataType() + self.state = 3256 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==9 or _la==45 or _la==70 or _la==101 or _la==172: + self.state = 3253 + self.colDefinitionDescriptorWithPosition() + self.state = 3258 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ColDefinitionDescriptorWithPositionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def defaultExpression(self): + return self.getTypedRuleContext(SqlBaseParser.DefaultExpressionContext,0) + + + def commentSpec(self): + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,0) + + + def colPosition(self): + return self.getTypedRuleContext(SqlBaseParser.ColPositionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_colDefinitionDescriptorWithPosition + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterColDefinitionDescriptorWithPosition" ): + listener.enterColDefinitionDescriptorWithPosition(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitColDefinitionDescriptorWithPosition" ): + listener.exitColDefinitionDescriptorWithPosition(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitColDefinitionDescriptorWithPosition" ): + return visitor.visitColDefinitionDescriptorWithPosition(self) + else: + return visitor.visitChildren(self) + + + + + def colDefinitionDescriptorWithPosition(self): + + localctx = SqlBaseParser.ColDefinitionDescriptorWithPositionContext(self, self._ctx, self.state) + self.enterRule(localctx, 284, self.RULE_colDefinitionDescriptorWithPosition) + try: + self.state = 3264 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [172]: + self.enterOuterAlt(localctx, 1) + self.state = 3259 + self.match(SqlBaseParser.NOT) + self.state = 3260 + self.match(SqlBaseParser.NULL) + pass + elif token in [70]: + self.enterOuterAlt(localctx, 2) + self.state = 3261 + self.defaultExpression() + pass + elif token in [45]: + self.enterOuterAlt(localctx, 3) + self.state = 3262 + self.commentSpec() + pass + elif token in [9, 101]: + self.enterOuterAlt(localctx, 4) + self.state = 3263 + self.colPosition() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class DefaultExpressionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def DEFAULT(self): + return self.getToken(SqlBaseParser.DEFAULT, 0) + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_defaultExpression + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDefaultExpression" ): + listener.enterDefaultExpression(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDefaultExpression" ): + listener.exitDefaultExpression(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDefaultExpression" ): + return visitor.visitDefaultExpression(self) + else: + return visitor.visitChildren(self) + + + + + def defaultExpression(self): + + localctx = SqlBaseParser.DefaultExpressionContext(self, self._ctx, self.state) + self.enterRule(localctx, 286, self.RULE_defaultExpression) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3266 + self.match(SqlBaseParser.DEFAULT) + self.state = 3267 + self.expression() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ColTypeListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def colType(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ColTypeContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ColTypeContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_colTypeList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterColTypeList" ): + listener.enterColTypeList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitColTypeList" ): + listener.exitColTypeList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitColTypeList" ): + return visitor.visitColTypeList(self) + else: + return visitor.visitChildren(self) + + + + + def colTypeList(self): + + localctx = SqlBaseParser.ColTypeListContext(self, self._ctx, self.state) + self.enterRule(localctx, 288, self.RULE_colTypeList) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3269 + self.colType() + self.state = 3274 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,418,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 3270 + self.match(SqlBaseParser.COMMA) + self.state = 3271 + self.colType() + self.state = 3276 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,418,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ColTypeContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.colName = None # ErrorCapturingIdentifierContext + + def dataType(self): + return self.getTypedRuleContext(SqlBaseParser.DataTypeContext,0) + + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def commentSpec(self): + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_colType + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterColType" ): + listener.enterColType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitColType" ): + listener.exitColType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitColType" ): + return visitor.visitColType(self) + else: + return visitor.visitChildren(self) + + + + + def colType(self): + + localctx = SqlBaseParser.ColTypeContext(self, self._ctx, self.state) + self.enterRule(localctx, 290, self.RULE_colType) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3277 + localctx.colName = self.errorCapturingIdentifier() + self.state = 3278 + self.dataType() + self.state = 3281 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,419,self._ctx) + if la_ == 1: + self.state = 3279 + self.match(SqlBaseParser.NOT) + self.state = 3280 + self.match(SqlBaseParser.NULL) + + + self.state = 3284 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,420,self._ctx) + if la_ == 1: + self.state = 3283 + self.commentSpec() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class CreateOrReplaceTableColTypeListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def createOrReplaceTableColType(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.CreateOrReplaceTableColTypeContext) + else: + return self.getTypedRuleContext(SqlBaseParser.CreateOrReplaceTableColTypeContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_createOrReplaceTableColTypeList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateOrReplaceTableColTypeList" ): + listener.enterCreateOrReplaceTableColTypeList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateOrReplaceTableColTypeList" ): + listener.exitCreateOrReplaceTableColTypeList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateOrReplaceTableColTypeList" ): + return visitor.visitCreateOrReplaceTableColTypeList(self) + else: + return visitor.visitChildren(self) + + + + + def createOrReplaceTableColTypeList(self): + + localctx = SqlBaseParser.CreateOrReplaceTableColTypeListContext(self, self._ctx, self.state) + self.enterRule(localctx, 292, self.RULE_createOrReplaceTableColTypeList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3286 + self.createOrReplaceTableColType() + self.state = 3291 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3287 + self.match(SqlBaseParser.COMMA) + self.state = 3288 + self.createOrReplaceTableColType() + self.state = 3293 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class CreateOrReplaceTableColTypeContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.colName = None # ErrorCapturingIdentifierContext + + def dataType(self): + return self.getTypedRuleContext(SqlBaseParser.DataTypeContext,0) + + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + + def colDefinitionOption(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ColDefinitionOptionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ColDefinitionOptionContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_createOrReplaceTableColType + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterCreateOrReplaceTableColType" ): + listener.enterCreateOrReplaceTableColType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitCreateOrReplaceTableColType" ): + listener.exitCreateOrReplaceTableColType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitCreateOrReplaceTableColType" ): + return visitor.visitCreateOrReplaceTableColType(self) + else: + return visitor.visitChildren(self) + + + + + def createOrReplaceTableColType(self): + + localctx = SqlBaseParser.CreateOrReplaceTableColTypeContext(self, self._ctx, self.state) + self.enterRule(localctx, 294, self.RULE_createOrReplaceTableColType) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3294 + localctx.colName = self.errorCapturingIdentifier() + self.state = 3295 + self.dataType() + self.state = 3299 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==45 or _la==70 or _la==111 or _la==172: + self.state = 3296 + self.colDefinitionOption() + self.state = 3301 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ColDefinitionOptionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def defaultExpression(self): + return self.getTypedRuleContext(SqlBaseParser.DefaultExpressionContext,0) + + + def generationExpression(self): + return self.getTypedRuleContext(SqlBaseParser.GenerationExpressionContext,0) + + + def commentSpec(self): + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_colDefinitionOption + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterColDefinitionOption" ): + listener.enterColDefinitionOption(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitColDefinitionOption" ): + listener.exitColDefinitionOption(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitColDefinitionOption" ): + return visitor.visitColDefinitionOption(self) + else: + return visitor.visitChildren(self) + + + + + def colDefinitionOption(self): + + localctx = SqlBaseParser.ColDefinitionOptionContext(self, self._ctx, self.state) + self.enterRule(localctx, 296, self.RULE_colDefinitionOption) + try: + self.state = 3307 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [172]: + self.enterOuterAlt(localctx, 1) + self.state = 3302 + self.match(SqlBaseParser.NOT) + self.state = 3303 + self.match(SqlBaseParser.NULL) + pass + elif token in [70]: + self.enterOuterAlt(localctx, 2) + self.state = 3304 + self.defaultExpression() + pass + elif token in [111]: + self.enterOuterAlt(localctx, 3) + self.state = 3305 + self.generationExpression() + pass + elif token in [45]: + self.enterOuterAlt(localctx, 4) + self.state = 3306 + self.commentSpec() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class GenerationExpressionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def GENERATED(self): + return self.getToken(SqlBaseParser.GENERATED, 0) + + def ALWAYS(self): + return self.getToken(SqlBaseParser.ALWAYS, 0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_generationExpression + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterGenerationExpression" ): + listener.enterGenerationExpression(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitGenerationExpression" ): + listener.exitGenerationExpression(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitGenerationExpression" ): + return visitor.visitGenerationExpression(self) + else: + return visitor.visitChildren(self) + + + + + def generationExpression(self): + + localctx = SqlBaseParser.GenerationExpressionContext(self, self._ctx, self.state) + self.enterRule(localctx, 298, self.RULE_generationExpression) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3309 + self.match(SqlBaseParser.GENERATED) + self.state = 3310 + self.match(SqlBaseParser.ALWAYS) + self.state = 3311 + self.match(SqlBaseParser.AS) + self.state = 3312 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3313 + self.expression() + self.state = 3314 + self.match(SqlBaseParser.RIGHT_PAREN) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ComplexColTypeListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def complexColType(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ComplexColTypeContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ComplexColTypeContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_complexColTypeList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterComplexColTypeList" ): + listener.enterComplexColTypeList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitComplexColTypeList" ): + listener.exitComplexColTypeList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitComplexColTypeList" ): + return visitor.visitComplexColTypeList(self) + else: + return visitor.visitChildren(self) + + + + + def complexColTypeList(self): + + localctx = SqlBaseParser.ComplexColTypeListContext(self, self._ctx, self.state) + self.enterRule(localctx, 300, self.RULE_complexColTypeList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3316 + self.complexColType() + self.state = 3321 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3317 + self.match(SqlBaseParser.COMMA) + self.state = 3318 + self.complexColType() + self.state = 3323 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ComplexColTypeContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def dataType(self): + return self.getTypedRuleContext(SqlBaseParser.DataTypeContext,0) + + + def COLON(self): + return self.getToken(SqlBaseParser.COLON, 0) + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def commentSpec(self): + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_complexColType + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterComplexColType" ): + listener.enterComplexColType(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitComplexColType" ): + listener.exitComplexColType(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitComplexColType" ): + return visitor.visitComplexColType(self) + else: + return visitor.visitChildren(self) + + + + + def complexColType(self): + + localctx = SqlBaseParser.ComplexColTypeContext(self, self._ctx, self.state) + self.enterRule(localctx, 302, self.RULE_complexColType) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3324 + self.identifier() + self.state = 3326 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==326: + self.state = 3325 + self.match(SqlBaseParser.COLON) + + + self.state = 3328 + self.dataType() + self.state = 3331 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==172: + self.state = 3329 + self.match(SqlBaseParser.NOT) + self.state = 3330 + self.match(SqlBaseParser.NULL) + + + self.state = 3334 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==45: + self.state = 3333 + self.commentSpec() + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class WhenClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.condition = None # ExpressionContext + self.result = None # ExpressionContext + + def WHEN(self): + return self.getToken(SqlBaseParser.WHEN, 0) + + def THEN(self): + return self.getToken(SqlBaseParser.THEN, 0) + + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_whenClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterWhenClause" ): + listener.enterWhenClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitWhenClause" ): + listener.exitWhenClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitWhenClause" ): + return visitor.visitWhenClause(self) + else: + return visitor.visitChildren(self) + + + + + def whenClause(self): + + localctx = SqlBaseParser.WhenClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 304, self.RULE_whenClause) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3336 + self.match(SqlBaseParser.WHEN) + self.state = 3337 + localctx.condition = self.expression() + self.state = 3338 + self.match(SqlBaseParser.THEN) + self.state = 3339 + localctx.result = self.expression() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class WindowClauseContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def WINDOW(self): + return self.getToken(SqlBaseParser.WINDOW, 0) + + def namedWindow(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.NamedWindowContext) + else: + return self.getTypedRuleContext(SqlBaseParser.NamedWindowContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_windowClause + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterWindowClause" ): + listener.enterWindowClause(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitWindowClause" ): + listener.exitWindowClause(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitWindowClause" ): + return visitor.visitWindowClause(self) + else: + return visitor.visitChildren(self) + + + + + def windowClause(self): + + localctx = SqlBaseParser.WindowClauseContext(self, self._ctx, self.state) + self.enterRule(localctx, 306, self.RULE_windowClause) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3341 + self.match(SqlBaseParser.WINDOW) + self.state = 3342 + self.namedWindow() + self.state = 3347 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,428,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 3343 + self.match(SqlBaseParser.COMMA) + self.state = 3344 + self.namedWindow() + self.state = 3349 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,428,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NamedWindowContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.name = None # ErrorCapturingIdentifierContext + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def windowSpec(self): + return self.getTypedRuleContext(SqlBaseParser.WindowSpecContext,0) + + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_namedWindow + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNamedWindow" ): + listener.enterNamedWindow(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNamedWindow" ): + listener.exitNamedWindow(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNamedWindow" ): + return visitor.visitNamedWindow(self) + else: + return visitor.visitChildren(self) + + + + + def namedWindow(self): + + localctx = SqlBaseParser.NamedWindowContext(self, self._ctx, self.state) + self.enterRule(localctx, 308, self.RULE_namedWindow) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3350 + localctx.name = self.errorCapturingIdentifier() + self.state = 3351 + self.match(SqlBaseParser.AS) + self.state = 3352 + self.windowSpec() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class WindowSpecContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_windowSpec + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class WindowRefContext(WindowSpecContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.WindowSpecContext + super().__init__(parser) + self.name = None # ErrorCapturingIdentifierContext + self.copyFrom(ctx) + + def errorCapturingIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierContext,0) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterWindowRef" ): + listener.enterWindowRef(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitWindowRef" ): + listener.exitWindowRef(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitWindowRef" ): + return visitor.visitWindowRef(self) + else: + return visitor.visitChildren(self) + + + class WindowDefContext(WindowSpecContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.WindowSpecContext + super().__init__(parser) + self._expression = None # ExpressionContext + self.partition = list() # of ExpressionContexts + self.copyFrom(ctx) + + def LEFT_PAREN(self): + return self.getToken(SqlBaseParser.LEFT_PAREN, 0) + def RIGHT_PAREN(self): + return self.getToken(SqlBaseParser.RIGHT_PAREN, 0) + def CLUSTER(self): + return self.getToken(SqlBaseParser.CLUSTER, 0) + def BY(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.BY) + else: + return self.getToken(SqlBaseParser.BY, i) + def expression(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.ExpressionContext) + else: + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,i) + + def windowFrame(self): + return self.getTypedRuleContext(SqlBaseParser.WindowFrameContext,0) + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + def sortItem(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.SortItemContext) + else: + return self.getTypedRuleContext(SqlBaseParser.SortItemContext,i) + + def PARTITION(self): + return self.getToken(SqlBaseParser.PARTITION, 0) + def DISTRIBUTE(self): + return self.getToken(SqlBaseParser.DISTRIBUTE, 0) + def ORDER(self): + return self.getToken(SqlBaseParser.ORDER, 0) + def SORT(self): + return self.getToken(SqlBaseParser.SORT, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterWindowDef" ): + listener.enterWindowDef(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitWindowDef" ): + listener.exitWindowDef(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitWindowDef" ): + return visitor.visitWindowDef(self) + else: + return visitor.visitChildren(self) + + + + def windowSpec(self): + + localctx = SqlBaseParser.WindowSpecContext(self, self._ctx, self.state) + self.enterRule(localctx, 310, self.RULE_windowSpec) + self._la = 0 # Token type + try: + self.state = 3400 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,436,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.WindowRefContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 3354 + localctx.name = self.errorCapturingIdentifier() + pass + + elif la_ == 2: + localctx = SqlBaseParser.WindowRefContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 3355 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3356 + localctx.name = self.errorCapturingIdentifier() + self.state = 3357 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + elif la_ == 3: + localctx = SqlBaseParser.WindowDefContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 3359 + self.match(SqlBaseParser.LEFT_PAREN) + self.state = 3394 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [38]: + self.state = 3360 + self.match(SqlBaseParser.CLUSTER) + self.state = 3361 + self.match(SqlBaseParser.BY) + self.state = 3362 + localctx._expression = self.expression() + localctx.partition.append(localctx._expression) + self.state = 3367 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3363 + self.match(SqlBaseParser.COMMA) + self.state = 3364 + localctx._expression = self.expression() + localctx.partition.append(localctx._expression) + self.state = 3369 + self._errHandler.sync(self) + _la = self._input.LA(1) + + pass + elif token in [3, 80, 182, 190, 206, 228, 245]: + self.state = 3380 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==80 or _la==190: + self.state = 3370 + _la = self._input.LA(1) + if not(_la==80 or _la==190): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3371 + self.match(SqlBaseParser.BY) + self.state = 3372 + localctx._expression = self.expression() + localctx.partition.append(localctx._expression) + self.state = 3377 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3373 + self.match(SqlBaseParser.COMMA) + self.state = 3374 + localctx._expression = self.expression() + localctx.partition.append(localctx._expression) + self.state = 3379 + self._errHandler.sync(self) + _la = self._input.LA(1) + + + + self.state = 3392 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==182 or _la==245: + self.state = 3382 + _la = self._input.LA(1) + if not(_la==182 or _la==245): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3383 + self.match(SqlBaseParser.BY) + self.state = 3384 + self.sortItem() + self.state = 3389 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3385 + self.match(SqlBaseParser.COMMA) + self.state = 3386 + self.sortItem() + self.state = 3391 + self._errHandler.sync(self) + _la = self._input.LA(1) + + + + pass + else: + raise NoViableAltException(self) + + self.state = 3397 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==206 or _la==228: + self.state = 3396 + self.windowFrame() + + + self.state = 3399 + self.match(SqlBaseParser.RIGHT_PAREN) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class WindowFrameContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.frameType = None # Token + self.start = None # FrameBoundContext + self.end = None # FrameBoundContext + + def RANGE(self): + return self.getToken(SqlBaseParser.RANGE, 0) + + def frameBound(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.FrameBoundContext) + else: + return self.getTypedRuleContext(SqlBaseParser.FrameBoundContext,i) + + + def ROWS(self): + return self.getToken(SqlBaseParser.ROWS, 0) + + def BETWEEN(self): + return self.getToken(SqlBaseParser.BETWEEN, 0) + + def AND(self): + return self.getToken(SqlBaseParser.AND, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_windowFrame + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterWindowFrame" ): + listener.enterWindowFrame(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitWindowFrame" ): + listener.exitWindowFrame(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitWindowFrame" ): + return visitor.visitWindowFrame(self) + else: + return visitor.visitChildren(self) + + + + + def windowFrame(self): + + localctx = SqlBaseParser.WindowFrameContext(self, self._ctx, self.state) + self.enterRule(localctx, 312, self.RULE_windowFrame) + try: + self.state = 3418 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,437,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 3402 + localctx.frameType = self.match(SqlBaseParser.RANGE) + self.state = 3403 + localctx.start = self.frameBound() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 3404 + localctx.frameType = self.match(SqlBaseParser.ROWS) + self.state = 3405 + localctx.start = self.frameBound() + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 3406 + localctx.frameType = self.match(SqlBaseParser.RANGE) + self.state = 3407 + self.match(SqlBaseParser.BETWEEN) + self.state = 3408 + localctx.start = self.frameBound() + self.state = 3409 + self.match(SqlBaseParser.AND) + self.state = 3410 + localctx.end = self.frameBound() + pass + + elif la_ == 4: + self.enterOuterAlt(localctx, 4) + self.state = 3412 + localctx.frameType = self.match(SqlBaseParser.ROWS) + self.state = 3413 + self.match(SqlBaseParser.BETWEEN) + self.state = 3414 + localctx.start = self.frameBound() + self.state = 3415 + self.match(SqlBaseParser.AND) + self.state = 3416 + localctx.end = self.frameBound() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class FrameBoundContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.boundType = None # Token + + def UNBOUNDED(self): + return self.getToken(SqlBaseParser.UNBOUNDED, 0) + + def PRECEDING(self): + return self.getToken(SqlBaseParser.PRECEDING, 0) + + def FOLLOWING(self): + return self.getToken(SqlBaseParser.FOLLOWING, 0) + + def ROW(self): + return self.getToken(SqlBaseParser.ROW, 0) + + def CURRENT(self): + return self.getToken(SqlBaseParser.CURRENT, 0) + + def expression(self): + return self.getTypedRuleContext(SqlBaseParser.ExpressionContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_frameBound + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFrameBound" ): + listener.enterFrameBound(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFrameBound" ): + listener.exitFrameBound(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFrameBound" ): + return visitor.visitFrameBound(self) + else: + return visitor.visitChildren(self) + + + + + def frameBound(self): + + localctx = SqlBaseParser.FrameBoundContext(self, self._ctx, self.state) + self.enterRule(localctx, 314, self.RULE_frameBound) + self._la = 0 # Token type + try: + self.state = 3427 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,438,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 3420 + self.match(SqlBaseParser.UNBOUNDED) + self.state = 3421 + localctx.boundType = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==102 or _la==199): + localctx.boundType = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 3422 + localctx.boundType = self.match(SqlBaseParser.CURRENT) + self.state = 3423 + self.match(SqlBaseParser.ROW) + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 3424 + self.expression() + self.state = 3425 + localctx.boundType = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==102 or _la==199): + localctx.boundType = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QualifiedNameListContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def qualifiedName(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.QualifiedNameContext) + else: + return self.getTypedRuleContext(SqlBaseParser.QualifiedNameContext,i) + + + def COMMA(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.COMMA) + else: + return self.getToken(SqlBaseParser.COMMA, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_qualifiedNameList + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQualifiedNameList" ): + listener.enterQualifiedNameList(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQualifiedNameList" ): + listener.exitQualifiedNameList(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQualifiedNameList" ): + return visitor.visitQualifiedNameList(self) + else: + return visitor.visitChildren(self) + + + + + def qualifiedNameList(self): + + localctx = SqlBaseParser.QualifiedNameListContext(self, self._ctx, self.state) + self.enterRule(localctx, 316, self.RULE_qualifiedNameList) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3429 + self.qualifiedName() + self.state = 3434 + self._errHandler.sync(self) + _la = self._input.LA(1) + while _la==4: + self.state = 3430 + self.match(SqlBaseParser.COMMA) + self.state = 3431 + self.qualifiedName() + self.state = 3436 + self._errHandler.sync(self) + _la = self._input.LA(1) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class FunctionNameContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def qualifiedName(self): + return self.getTypedRuleContext(SqlBaseParser.QualifiedNameContext,0) + + + def FILTER(self): + return self.getToken(SqlBaseParser.FILTER, 0) + + def LEFT(self): + return self.getToken(SqlBaseParser.LEFT, 0) + + def RIGHT(self): + return self.getToken(SqlBaseParser.RIGHT, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_functionName + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFunctionName" ): + listener.enterFunctionName(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFunctionName" ): + listener.exitFunctionName(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFunctionName" ): + return visitor.visitFunctionName(self) + else: + return visitor.visitChildren(self) + + + + + def functionName(self): + + localctx = SqlBaseParser.FunctionNameContext(self, self._ctx, self.state) + self.enterRule(localctx, 318, self.RULE_functionName) + try: + self.state = 3441 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,440,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 3437 + self.qualifiedName() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 3438 + self.match(SqlBaseParser.FILTER) + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 3439 + self.match(SqlBaseParser.LEFT) + pass + + elif la_ == 4: + self.enterOuterAlt(localctx, 4) + self.state = 3440 + self.match(SqlBaseParser.RIGHT) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QualifiedNameContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,i) + + + def DOT(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.DOT) + else: + return self.getToken(SqlBaseParser.DOT, i) + + def getRuleIndex(self): + return SqlBaseParser.RULE_qualifiedName + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQualifiedName" ): + listener.enterQualifiedName(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQualifiedName" ): + listener.exitQualifiedName(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQualifiedName" ): + return visitor.visitQualifiedName(self) + else: + return visitor.visitChildren(self) + + + + + def qualifiedName(self): + + localctx = SqlBaseParser.QualifiedNameContext(self, self._ctx, self.state) + self.enterRule(localctx, 320, self.RULE_qualifiedName) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3443 + self.identifier() + self.state = 3448 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,441,self._ctx) + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt==1: + self.state = 3444 + self.match(SqlBaseParser.DOT) + self.state = 3445 + self.identifier() + self.state = 3450 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,441,self._ctx) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ErrorCapturingIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def identifier(self): + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,0) + + + def errorCapturingIdentifierExtra(self): + return self.getTypedRuleContext(SqlBaseParser.ErrorCapturingIdentifierExtraContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_errorCapturingIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterErrorCapturingIdentifier" ): + listener.enterErrorCapturingIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitErrorCapturingIdentifier" ): + listener.exitErrorCapturingIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitErrorCapturingIdentifier" ): + return visitor.visitErrorCapturingIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def errorCapturingIdentifier(self): + + localctx = SqlBaseParser.ErrorCapturingIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 322, self.RULE_errorCapturingIdentifier) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3451 + self.identifier() + self.state = 3452 + self.errorCapturingIdentifierExtra() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class ErrorCapturingIdentifierExtraContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_errorCapturingIdentifierExtra + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class ErrorIdentContext(ErrorCapturingIdentifierExtraContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ErrorCapturingIdentifierExtraContext + super().__init__(parser) + self.copyFrom(ctx) + + def MINUS(self, i:int=None): + if i is None: + return self.getTokens(SqlBaseParser.MINUS) + else: + return self.getToken(SqlBaseParser.MINUS, i) + def identifier(self, i:int=None): + if i is None: + return self.getTypedRuleContexts(SqlBaseParser.IdentifierContext) + else: + return self.getTypedRuleContext(SqlBaseParser.IdentifierContext,i) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterErrorIdent" ): + listener.enterErrorIdent(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitErrorIdent" ): + listener.exitErrorIdent(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitErrorIdent" ): + return visitor.visitErrorIdent(self) + else: + return visitor.visitChildren(self) + + + class RealIdentContext(ErrorCapturingIdentifierExtraContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.ErrorCapturingIdentifierExtraContext + super().__init__(parser) + self.copyFrom(ctx) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterRealIdent" ): + listener.enterRealIdent(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitRealIdent" ): + listener.exitRealIdent(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitRealIdent" ): + return visitor.visitRealIdent(self) + else: + return visitor.visitChildren(self) + + + + def errorCapturingIdentifierExtra(self): + + localctx = SqlBaseParser.ErrorCapturingIdentifierExtraContext(self, self._ctx, self.state) + self.enterRule(localctx, 324, self.RULE_errorCapturingIdentifierExtra) + try: + self.state = 3461 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,443,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.ErrorIdentContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 3456 + self._errHandler.sync(self) + _alt = 1 + while _alt!=2 and _alt!=ATN.INVALID_ALT_NUMBER: + if _alt == 1: + self.state = 3454 + self.match(SqlBaseParser.MINUS) + self.state = 3455 + self.identifier() + + else: + raise NoViableAltException(self) + self.state = 3458 + self._errHandler.sync(self) + _alt = self._interp.adaptivePredict(self._input,442,self._ctx) + + pass + + elif la_ == 2: + localctx = SqlBaseParser.RealIdentContext(self, localctx) + self.enterOuterAlt(localctx, 2) + + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class IdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def strictIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.StrictIdentifierContext,0) + + + def strictNonReserved(self): + return self.getTypedRuleContext(SqlBaseParser.StrictNonReservedContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_identifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIdentifier" ): + listener.enterIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIdentifier" ): + listener.exitIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIdentifier" ): + return visitor.visitIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def identifier(self): + + localctx = SqlBaseParser.IdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 326, self.RULE_identifier) + try: + self.state = 3465 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,444,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 3463 + self.strictIdentifier() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 3464 + self.strictNonReserved() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class StrictIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_strictIdentifier + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class QuotedIdentifierAlternativeContext(StrictIdentifierContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StrictIdentifierContext + super().__init__(parser) + self.copyFrom(ctx) + + def quotedIdentifier(self): + return self.getTypedRuleContext(SqlBaseParser.QuotedIdentifierContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQuotedIdentifierAlternative" ): + listener.enterQuotedIdentifierAlternative(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQuotedIdentifierAlternative" ): + listener.exitQuotedIdentifierAlternative(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQuotedIdentifierAlternative" ): + return visitor.visitQuotedIdentifierAlternative(self) + else: + return visitor.visitChildren(self) + + + class UnquotedIdentifierContext(StrictIdentifierContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.StrictIdentifierContext + super().__init__(parser) + self.copyFrom(ctx) + + def IDENTIFIER(self): + return self.getToken(SqlBaseParser.IDENTIFIER, 0) + def ansiNonReserved(self): + return self.getTypedRuleContext(SqlBaseParser.AnsiNonReservedContext,0) + + def nonReserved(self): + return self.getTypedRuleContext(SqlBaseParser.NonReservedContext,0) + + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterUnquotedIdentifier" ): + listener.enterUnquotedIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitUnquotedIdentifier" ): + listener.exitUnquotedIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitUnquotedIdentifier" ): + return visitor.visitUnquotedIdentifier(self) + else: + return visitor.visitChildren(self) + + + + def strictIdentifier(self): + + localctx = SqlBaseParser.StrictIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 328, self.RULE_strictIdentifier) + try: + self.state = 3471 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,445,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.UnquotedIdentifierContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 3467 + self.match(SqlBaseParser.IDENTIFIER) + pass + + elif la_ == 2: + localctx = SqlBaseParser.QuotedIdentifierAlternativeContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 3468 + self.quotedIdentifier() + pass + + elif la_ == 3: + localctx = SqlBaseParser.UnquotedIdentifierContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 3469 + self.ansiNonReserved() + pass + + elif la_ == 4: + localctx = SqlBaseParser.UnquotedIdentifierContext(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 3470 + self.nonReserved() + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class QuotedIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def BACKQUOTED_IDENTIFIER(self): + return self.getToken(SqlBaseParser.BACKQUOTED_IDENTIFIER, 0) + + def DOUBLEQUOTED_STRING(self): + return self.getToken(SqlBaseParser.DOUBLEQUOTED_STRING, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_quotedIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterQuotedIdentifier" ): + listener.enterQuotedIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitQuotedIdentifier" ): + listener.exitQuotedIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitQuotedIdentifier" ): + return visitor.visitQuotedIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def quotedIdentifier(self): + + localctx = SqlBaseParser.QuotedIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 330, self.RULE_quotedIdentifier) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3473 + _la = self._input.LA(1) + if not(_la==331 or _la==342): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class BackQuotedIdentifierContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def BACKQUOTED_IDENTIFIER(self): + return self.getToken(SqlBaseParser.BACKQUOTED_IDENTIFIER, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_backQuotedIdentifier + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterBackQuotedIdentifier" ): + listener.enterBackQuotedIdentifier(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitBackQuotedIdentifier" ): + listener.exitBackQuotedIdentifier(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitBackQuotedIdentifier" ): + return visitor.visitBackQuotedIdentifier(self) + else: + return visitor.visitChildren(self) + + + + + def backQuotedIdentifier(self): + + localctx = SqlBaseParser.BackQuotedIdentifierContext(self, self._ctx, self.state) + self.enterRule(localctx, 332, self.RULE_backQuotedIdentifier) + try: + self.enterOuterAlt(localctx, 1) + self.state = 3475 + self.match(SqlBaseParser.BACKQUOTED_IDENTIFIER) + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NumberContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + + def getRuleIndex(self): + return SqlBaseParser.RULE_number + + + def copyFrom(self, ctx:ParserRuleContext): + super().copyFrom(ctx) + + + + class DecimalLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def DECIMAL_VALUE(self): + return self.getToken(SqlBaseParser.DECIMAL_VALUE, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDecimalLiteral" ): + listener.enterDecimalLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDecimalLiteral" ): + listener.exitDecimalLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDecimalLiteral" ): + return visitor.visitDecimalLiteral(self) + else: + return visitor.visitChildren(self) + + + class BigIntLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def BIGINT_LITERAL(self): + return self.getToken(SqlBaseParser.BIGINT_LITERAL, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterBigIntLiteral" ): + listener.enterBigIntLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitBigIntLiteral" ): + listener.exitBigIntLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitBigIntLiteral" ): + return visitor.visitBigIntLiteral(self) + else: + return visitor.visitChildren(self) + + + class TinyIntLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def TINYINT_LITERAL(self): + return self.getToken(SqlBaseParser.TINYINT_LITERAL, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterTinyIntLiteral" ): + listener.enterTinyIntLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitTinyIntLiteral" ): + listener.exitTinyIntLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitTinyIntLiteral" ): + return visitor.visitTinyIntLiteral(self) + else: + return visitor.visitChildren(self) + + + class LegacyDecimalLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def EXPONENT_VALUE(self): + return self.getToken(SqlBaseParser.EXPONENT_VALUE, 0) + def DECIMAL_VALUE(self): + return self.getToken(SqlBaseParser.DECIMAL_VALUE, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterLegacyDecimalLiteral" ): + listener.enterLegacyDecimalLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitLegacyDecimalLiteral" ): + listener.exitLegacyDecimalLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitLegacyDecimalLiteral" ): + return visitor.visitLegacyDecimalLiteral(self) + else: + return visitor.visitChildren(self) + + + class BigDecimalLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def BIGDECIMAL_LITERAL(self): + return self.getToken(SqlBaseParser.BIGDECIMAL_LITERAL, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterBigDecimalLiteral" ): + listener.enterBigDecimalLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitBigDecimalLiteral" ): + listener.exitBigDecimalLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitBigDecimalLiteral" ): + return visitor.visitBigDecimalLiteral(self) + else: + return visitor.visitChildren(self) + + + class ExponentLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def EXPONENT_VALUE(self): + return self.getToken(SqlBaseParser.EXPONENT_VALUE, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterExponentLiteral" ): + listener.enterExponentLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitExponentLiteral" ): + listener.exitExponentLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitExponentLiteral" ): + return visitor.visitExponentLiteral(self) + else: + return visitor.visitChildren(self) + + + class DoubleLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def DOUBLE_LITERAL(self): + return self.getToken(SqlBaseParser.DOUBLE_LITERAL, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterDoubleLiteral" ): + listener.enterDoubleLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitDoubleLiteral" ): + listener.exitDoubleLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitDoubleLiteral" ): + return visitor.visitDoubleLiteral(self) + else: + return visitor.visitChildren(self) + + + class IntegerLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def INTEGER_VALUE(self): + return self.getToken(SqlBaseParser.INTEGER_VALUE, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterIntegerLiteral" ): + listener.enterIntegerLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitIntegerLiteral" ): + listener.exitIntegerLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitIntegerLiteral" ): + return visitor.visitIntegerLiteral(self) + else: + return visitor.visitChildren(self) + + + class FloatLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def FLOAT_LITERAL(self): + return self.getToken(SqlBaseParser.FLOAT_LITERAL, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterFloatLiteral" ): + listener.enterFloatLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitFloatLiteral" ): + listener.exitFloatLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitFloatLiteral" ): + return visitor.visitFloatLiteral(self) + else: + return visitor.visitChildren(self) + + + class SmallIntLiteralContext(NumberContext): + + def __init__(self, parser, ctx:ParserRuleContext): # actually a SqlBaseParser.NumberContext + super().__init__(parser) + self.copyFrom(ctx) + + def SMALLINT_LITERAL(self): + return self.getToken(SqlBaseParser.SMALLINT_LITERAL, 0) + def MINUS(self): + return self.getToken(SqlBaseParser.MINUS, 0) + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterSmallIntLiteral" ): + listener.enterSmallIntLiteral(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitSmallIntLiteral" ): + listener.exitSmallIntLiteral(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitSmallIntLiteral" ): + return visitor.visitSmallIntLiteral(self) + else: + return visitor.visitChildren(self) + + + + def number(self): + + localctx = SqlBaseParser.NumberContext(self, self._ctx, self.state) + self.enterRule(localctx, 334, self.RULE_number) + self._la = 0 # Token type + try: + self.state = 3517 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,456,self._ctx) + if la_ == 1: + localctx = SqlBaseParser.ExponentLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 1) + self.state = 3478 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3477 + self.match(SqlBaseParser.MINUS) + + + self.state = 3480 + self.match(SqlBaseParser.EXPONENT_VALUE) + pass + + elif la_ == 2: + localctx = SqlBaseParser.DecimalLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 2) + self.state = 3482 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3481 + self.match(SqlBaseParser.MINUS) + + + self.state = 3484 + self.match(SqlBaseParser.DECIMAL_VALUE) + pass + + elif la_ == 3: + localctx = SqlBaseParser.LegacyDecimalLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 3) + self.state = 3486 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3485 + self.match(SqlBaseParser.MINUS) + + + self.state = 3488 + _la = self._input.LA(1) + if not(_la==336 or _la==337): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + pass + + elif la_ == 4: + localctx = SqlBaseParser.IntegerLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 4) + self.state = 3490 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3489 + self.match(SqlBaseParser.MINUS) + + + self.state = 3492 + self.match(SqlBaseParser.INTEGER_VALUE) + pass + + elif la_ == 5: + localctx = SqlBaseParser.BigIntLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 5) + self.state = 3494 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3493 + self.match(SqlBaseParser.MINUS) + + + self.state = 3496 + self.match(SqlBaseParser.BIGINT_LITERAL) + pass + + elif la_ == 6: + localctx = SqlBaseParser.SmallIntLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 6) + self.state = 3498 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3497 + self.match(SqlBaseParser.MINUS) + + + self.state = 3500 + self.match(SqlBaseParser.SMALLINT_LITERAL) + pass + + elif la_ == 7: + localctx = SqlBaseParser.TinyIntLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 7) + self.state = 3502 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3501 + self.match(SqlBaseParser.MINUS) + + + self.state = 3504 + self.match(SqlBaseParser.TINYINT_LITERAL) + pass + + elif la_ == 8: + localctx = SqlBaseParser.DoubleLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 8) + self.state = 3506 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3505 + self.match(SqlBaseParser.MINUS) + + + self.state = 3508 + self.match(SqlBaseParser.DOUBLE_LITERAL) + pass + + elif la_ == 9: + localctx = SqlBaseParser.FloatLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 9) + self.state = 3510 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3509 + self.match(SqlBaseParser.MINUS) + + + self.state = 3512 + self.match(SqlBaseParser.FLOAT_LITERAL) + pass + + elif la_ == 10: + localctx = SqlBaseParser.BigDecimalLiteralContext(self, localctx) + self.enterOuterAlt(localctx, 10) + self.state = 3514 + self._errHandler.sync(self) + _la = self._input.LA(1) + if _la==317: + self.state = 3513 + self.match(SqlBaseParser.MINUS) + + + self.state = 3516 + self.match(SqlBaseParser.BIGDECIMAL_LITERAL) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class AlterColumnActionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + self.setOrDrop = None # Token + self.dropDefault = None # Token + + def TYPE(self): + return self.getToken(SqlBaseParser.TYPE, 0) + + def dataType(self): + return self.getTypedRuleContext(SqlBaseParser.DataTypeContext,0) + + + def commentSpec(self): + return self.getTypedRuleContext(SqlBaseParser.CommentSpecContext,0) + + + def colPosition(self): + return self.getTypedRuleContext(SqlBaseParser.ColPositionContext,0) + + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + + def defaultExpression(self): + return self.getTypedRuleContext(SqlBaseParser.DefaultExpressionContext,0) + + + def DEFAULT(self): + return self.getToken(SqlBaseParser.DEFAULT, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_alterColumnAction + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAlterColumnAction" ): + listener.enterAlterColumnAction(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAlterColumnAction" ): + listener.exitAlterColumnAction(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAlterColumnAction" ): + return visitor.visitAlterColumnAction(self) + else: + return visitor.visitChildren(self) + + + + + def alterColumnAction(self): + + localctx = SqlBaseParser.AlterColumnActionContext(self, self._ctx, self.state) + self.enterRule(localctx, 336, self.RULE_alterColumnAction) + self._la = 0 # Token type + try: + self.state = 3530 + self._errHandler.sync(self) + la_ = self._interp.adaptivePredict(self._input,457,self._ctx) + if la_ == 1: + self.enterOuterAlt(localctx, 1) + self.state = 3519 + self.match(SqlBaseParser.TYPE) + self.state = 3520 + self.dataType() + pass + + elif la_ == 2: + self.enterOuterAlt(localctx, 2) + self.state = 3521 + self.commentSpec() + pass + + elif la_ == 3: + self.enterOuterAlt(localctx, 3) + self.state = 3522 + self.colPosition() + pass + + elif la_ == 4: + self.enterOuterAlt(localctx, 4) + self.state = 3523 + localctx.setOrDrop = self._input.LT(1) + _la = self._input.LA(1) + if not(_la==82 or _la==239): + localctx.setOrDrop = self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + self.state = 3524 + self.match(SqlBaseParser.NOT) + self.state = 3525 + self.match(SqlBaseParser.NULL) + pass + + elif la_ == 5: + self.enterOuterAlt(localctx, 5) + self.state = 3526 + self.match(SqlBaseParser.SET) + self.state = 3527 + self.defaultExpression() + pass + + elif la_ == 6: + self.enterOuterAlt(localctx, 6) + self.state = 3528 + localctx.dropDefault = self.match(SqlBaseParser.DROP) + self.state = 3529 + self.match(SqlBaseParser.DEFAULT) + pass + + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class StringLitContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def STRING(self): + return self.getToken(SqlBaseParser.STRING, 0) + + def DOUBLEQUOTED_STRING(self): + return self.getToken(SqlBaseParser.DOUBLEQUOTED_STRING, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_stringLit + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterStringLit" ): + listener.enterStringLit(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitStringLit" ): + listener.exitStringLit(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitStringLit" ): + return visitor.visitStringLit(self) + else: + return visitor.visitChildren(self) + + + + + def stringLit(self): + + localctx = SqlBaseParser.StringLitContext(self, self._ctx, self.state) + self.enterRule(localctx, 338, self.RULE_stringLit) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3532 + _la = self._input.LA(1) + if not(_la==330 or _la==331): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class CommentContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_comment + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterComment" ): + listener.enterComment(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitComment" ): + listener.exitComment(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitComment" ): + return visitor.visitComment(self) + else: + return visitor.visitChildren(self) + + + + + def comment(self): + + localctx = SqlBaseParser.CommentContext(self, self._ctx, self.state) + self.enterRule(localctx, 340, self.RULE_comment) + try: + self.state = 3536 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [330, 331]: + self.enterOuterAlt(localctx, 1) + self.state = 3534 + self.stringLit() + pass + elif token in [173]: + self.enterOuterAlt(localctx, 2) + self.state = 3535 + self.match(SqlBaseParser.NULL) + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class VersionContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def INTEGER_VALUE(self): + return self.getToken(SqlBaseParser.INTEGER_VALUE, 0) + + def stringLit(self): + return self.getTypedRuleContext(SqlBaseParser.StringLitContext,0) + + + def getRuleIndex(self): + return SqlBaseParser.RULE_version + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterVersion" ): + listener.enterVersion(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitVersion" ): + listener.exitVersion(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitVersion" ): + return visitor.visitVersion(self) + else: + return visitor.visitChildren(self) + + + + + def version(self): + + localctx = SqlBaseParser.VersionContext(self, self._ctx, self.state) + self.enterRule(localctx, 342, self.RULE_version) + try: + self.state = 3540 + self._errHandler.sync(self) + token = self._input.LA(1) + if token in [335]: + self.enterOuterAlt(localctx, 1) + self.state = 3538 + self.match(SqlBaseParser.INTEGER_VALUE) + pass + elif token in [330, 331]: + self.enterOuterAlt(localctx, 2) + self.state = 3539 + self.stringLit() + pass + else: + raise NoViableAltException(self) + + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class AnsiNonReservedContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def ADD(self): + return self.getToken(SqlBaseParser.ADD, 0) + + def AFTER(self): + return self.getToken(SqlBaseParser.AFTER, 0) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + + def ALWAYS(self): + return self.getToken(SqlBaseParser.ALWAYS, 0) + + def ANALYZE(self): + return self.getToken(SqlBaseParser.ANALYZE, 0) + + def ANTI(self): + return self.getToken(SqlBaseParser.ANTI, 0) + + def ANY_VALUE(self): + return self.getToken(SqlBaseParser.ANY_VALUE, 0) + + def ARCHIVE(self): + return self.getToken(SqlBaseParser.ARCHIVE, 0) + + def ARRAY(self): + return self.getToken(SqlBaseParser.ARRAY, 0) + + def ASC(self): + return self.getToken(SqlBaseParser.ASC, 0) + + def AT(self): + return self.getToken(SqlBaseParser.AT, 0) + + def BETWEEN(self): + return self.getToken(SqlBaseParser.BETWEEN, 0) + + def BUCKET(self): + return self.getToken(SqlBaseParser.BUCKET, 0) + + def BUCKETS(self): + return self.getToken(SqlBaseParser.BUCKETS, 0) + + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + + def CACHE(self): + return self.getToken(SqlBaseParser.CACHE, 0) + + def CASCADE(self): + return self.getToken(SqlBaseParser.CASCADE, 0) + + def CATALOG(self): + return self.getToken(SqlBaseParser.CATALOG, 0) + + def CATALOGS(self): + return self.getToken(SqlBaseParser.CATALOGS, 0) + + def CHANGE(self): + return self.getToken(SqlBaseParser.CHANGE, 0) + + def CLEAR(self): + return self.getToken(SqlBaseParser.CLEAR, 0) + + def CLUSTER(self): + return self.getToken(SqlBaseParser.CLUSTER, 0) + + def CLUSTERED(self): + return self.getToken(SqlBaseParser.CLUSTERED, 0) + + def CODEGEN(self): + return self.getToken(SqlBaseParser.CODEGEN, 0) + + def COLLECTION(self): + return self.getToken(SqlBaseParser.COLLECTION, 0) + + def COLUMNS(self): + return self.getToken(SqlBaseParser.COLUMNS, 0) + + def COMMENT(self): + return self.getToken(SqlBaseParser.COMMENT, 0) + + def COMMIT(self): + return self.getToken(SqlBaseParser.COMMIT, 0) + + def COMPACT(self): + return self.getToken(SqlBaseParser.COMPACT, 0) + + def COMPACTIONS(self): + return self.getToken(SqlBaseParser.COMPACTIONS, 0) + + def COMPUTE(self): + return self.getToken(SqlBaseParser.COMPUTE, 0) + + def CONCATENATE(self): + return self.getToken(SqlBaseParser.CONCATENATE, 0) + + def COST(self): + return self.getToken(SqlBaseParser.COST, 0) + + def CUBE(self): + return self.getToken(SqlBaseParser.CUBE, 0) + + def CURRENT(self): + return self.getToken(SqlBaseParser.CURRENT, 0) + + def DATA(self): + return self.getToken(SqlBaseParser.DATA, 0) + + def DATABASE(self): + return self.getToken(SqlBaseParser.DATABASE, 0) + + def DATABASES(self): + return self.getToken(SqlBaseParser.DATABASES, 0) + + def DATEADD(self): + return self.getToken(SqlBaseParser.DATEADD, 0) + + def DATEDIFF(self): + return self.getToken(SqlBaseParser.DATEDIFF, 0) + + def DAY(self): + return self.getToken(SqlBaseParser.DAY, 0) + + def DAYS(self): + return self.getToken(SqlBaseParser.DAYS, 0) + + def DAYOFYEAR(self): + return self.getToken(SqlBaseParser.DAYOFYEAR, 0) + + def DBPROPERTIES(self): + return self.getToken(SqlBaseParser.DBPROPERTIES, 0) + + def DEFAULT(self): + return self.getToken(SqlBaseParser.DEFAULT, 0) + + def DEFINED(self): + return self.getToken(SqlBaseParser.DEFINED, 0) + + def DELETE(self): + return self.getToken(SqlBaseParser.DELETE, 0) + + def DELIMITED(self): + return self.getToken(SqlBaseParser.DELIMITED, 0) + + def DESC(self): + return self.getToken(SqlBaseParser.DESC, 0) + + def DESCRIBE(self): + return self.getToken(SqlBaseParser.DESCRIBE, 0) + + def DFS(self): + return self.getToken(SqlBaseParser.DFS, 0) + + def DIRECTORIES(self): + return self.getToken(SqlBaseParser.DIRECTORIES, 0) + + def DIRECTORY(self): + return self.getToken(SqlBaseParser.DIRECTORY, 0) + + def DISTRIBUTE(self): + return self.getToken(SqlBaseParser.DISTRIBUTE, 0) + + def DIV(self): + return self.getToken(SqlBaseParser.DIV, 0) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + + def ESCAPED(self): + return self.getToken(SqlBaseParser.ESCAPED, 0) + + def EXCHANGE(self): + return self.getToken(SqlBaseParser.EXCHANGE, 0) + + def EXCLUDE(self): + return self.getToken(SqlBaseParser.EXCLUDE, 0) + + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def EXPLAIN(self): + return self.getToken(SqlBaseParser.EXPLAIN, 0) + + def EXPORT(self): + return self.getToken(SqlBaseParser.EXPORT, 0) + + def EXTENDED(self): + return self.getToken(SqlBaseParser.EXTENDED, 0) + + def EXTERNAL(self): + return self.getToken(SqlBaseParser.EXTERNAL, 0) + + def EXTRACT(self): + return self.getToken(SqlBaseParser.EXTRACT, 0) + + def FIELDS(self): + return self.getToken(SqlBaseParser.FIELDS, 0) + + def FILEFORMAT(self): + return self.getToken(SqlBaseParser.FILEFORMAT, 0) + + def FIRST(self): + return self.getToken(SqlBaseParser.FIRST, 0) + + def FOLLOWING(self): + return self.getToken(SqlBaseParser.FOLLOWING, 0) + + def FORMAT(self): + return self.getToken(SqlBaseParser.FORMAT, 0) + + def FORMATTED(self): + return self.getToken(SqlBaseParser.FORMATTED, 0) + + def FUNCTION(self): + return self.getToken(SqlBaseParser.FUNCTION, 0) + + def FUNCTIONS(self): + return self.getToken(SqlBaseParser.FUNCTIONS, 0) + + def GENERATED(self): + return self.getToken(SqlBaseParser.GENERATED, 0) + + def GLOBAL(self): + return self.getToken(SqlBaseParser.GLOBAL, 0) + + def GROUPING(self): + return self.getToken(SqlBaseParser.GROUPING, 0) + + def HOUR(self): + return self.getToken(SqlBaseParser.HOUR, 0) + + def HOURS(self): + return self.getToken(SqlBaseParser.HOURS, 0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + + def IGNORE(self): + return self.getToken(SqlBaseParser.IGNORE, 0) + + def IMPORT(self): + return self.getToken(SqlBaseParser.IMPORT, 0) + + def INCLUDE(self): + return self.getToken(SqlBaseParser.INCLUDE, 0) + + def INDEX(self): + return self.getToken(SqlBaseParser.INDEX, 0) + + def INDEXES(self): + return self.getToken(SqlBaseParser.INDEXES, 0) + + def INPATH(self): + return self.getToken(SqlBaseParser.INPATH, 0) + + def INPUTFORMAT(self): + return self.getToken(SqlBaseParser.INPUTFORMAT, 0) + + def INSERT(self): + return self.getToken(SqlBaseParser.INSERT, 0) + + def INTERVAL(self): + return self.getToken(SqlBaseParser.INTERVAL, 0) + + def ITEMS(self): + return self.getToken(SqlBaseParser.ITEMS, 0) + + def KEYS(self): + return self.getToken(SqlBaseParser.KEYS, 0) + + def LAST(self): + return self.getToken(SqlBaseParser.LAST, 0) + + def LAZY(self): + return self.getToken(SqlBaseParser.LAZY, 0) + + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + + def ILIKE(self): + return self.getToken(SqlBaseParser.ILIKE, 0) + + def LIMIT(self): + return self.getToken(SqlBaseParser.LIMIT, 0) + + def LINES(self): + return self.getToken(SqlBaseParser.LINES, 0) + + def LIST(self): + return self.getToken(SqlBaseParser.LIST, 0) + + def LOAD(self): + return self.getToken(SqlBaseParser.LOAD, 0) + + def LOCAL(self): + return self.getToken(SqlBaseParser.LOCAL, 0) + + def LOCATION(self): + return self.getToken(SqlBaseParser.LOCATION, 0) + + def LOCK(self): + return self.getToken(SqlBaseParser.LOCK, 0) + + def LOCKS(self): + return self.getToken(SqlBaseParser.LOCKS, 0) + + def LOGICAL(self): + return self.getToken(SqlBaseParser.LOGICAL, 0) + + def MACRO(self): + return self.getToken(SqlBaseParser.MACRO, 0) + + def MAP(self): + return self.getToken(SqlBaseParser.MAP, 0) + + def MATCHED(self): + return self.getToken(SqlBaseParser.MATCHED, 0) + + def MERGE(self): + return self.getToken(SqlBaseParser.MERGE, 0) + + def MICROSECOND(self): + return self.getToken(SqlBaseParser.MICROSECOND, 0) + + def MICROSECONDS(self): + return self.getToken(SqlBaseParser.MICROSECONDS, 0) + + def MILLISECOND(self): + return self.getToken(SqlBaseParser.MILLISECOND, 0) + + def MILLISECONDS(self): + return self.getToken(SqlBaseParser.MILLISECONDS, 0) + + def MINUTE(self): + return self.getToken(SqlBaseParser.MINUTE, 0) + + def MINUTES(self): + return self.getToken(SqlBaseParser.MINUTES, 0) + + def MONTH(self): + return self.getToken(SqlBaseParser.MONTH, 0) + + def MONTHS(self): + return self.getToken(SqlBaseParser.MONTHS, 0) + + def MSCK(self): + return self.getToken(SqlBaseParser.MSCK, 0) + + def NAMESPACE(self): + return self.getToken(SqlBaseParser.NAMESPACE, 0) + + def NAMESPACES(self): + return self.getToken(SqlBaseParser.NAMESPACES, 0) + + def NANOSECOND(self): + return self.getToken(SqlBaseParser.NANOSECOND, 0) + + def NANOSECONDS(self): + return self.getToken(SqlBaseParser.NANOSECONDS, 0) + + def NO(self): + return self.getToken(SqlBaseParser.NO, 0) + + def NULLS(self): + return self.getToken(SqlBaseParser.NULLS, 0) + + def OF(self): + return self.getToken(SqlBaseParser.OF, 0) + + def OPTION(self): + return self.getToken(SqlBaseParser.OPTION, 0) + + def OPTIONS(self): + return self.getToken(SqlBaseParser.OPTIONS, 0) + + def OUT(self): + return self.getToken(SqlBaseParser.OUT, 0) + + def OUTPUTFORMAT(self): + return self.getToken(SqlBaseParser.OUTPUTFORMAT, 0) + + def OVER(self): + return self.getToken(SqlBaseParser.OVER, 0) + + def OVERLAY(self): + return self.getToken(SqlBaseParser.OVERLAY, 0) + + def OVERWRITE(self): + return self.getToken(SqlBaseParser.OVERWRITE, 0) + + def PARTITION(self): + return self.getToken(SqlBaseParser.PARTITION, 0) + + def PARTITIONED(self): + return self.getToken(SqlBaseParser.PARTITIONED, 0) + + def PARTITIONS(self): + return self.getToken(SqlBaseParser.PARTITIONS, 0) + + def PERCENTLIT(self): + return self.getToken(SqlBaseParser.PERCENTLIT, 0) + + def PIVOT(self): + return self.getToken(SqlBaseParser.PIVOT, 0) + + def PLACING(self): + return self.getToken(SqlBaseParser.PLACING, 0) + + def POSITION(self): + return self.getToken(SqlBaseParser.POSITION, 0) + + def PRECEDING(self): + return self.getToken(SqlBaseParser.PRECEDING, 0) + + def PRINCIPALS(self): + return self.getToken(SqlBaseParser.PRINCIPALS, 0) + + def PROPERTIES(self): + return self.getToken(SqlBaseParser.PROPERTIES, 0) + + def PURGE(self): + return self.getToken(SqlBaseParser.PURGE, 0) + + def QUARTER(self): + return self.getToken(SqlBaseParser.QUARTER, 0) + + def QUERY(self): + return self.getToken(SqlBaseParser.QUERY, 0) + + def RANGE(self): + return self.getToken(SqlBaseParser.RANGE, 0) + + def RECORDREADER(self): + return self.getToken(SqlBaseParser.RECORDREADER, 0) + + def RECORDWRITER(self): + return self.getToken(SqlBaseParser.RECORDWRITER, 0) + + def RECOVER(self): + return self.getToken(SqlBaseParser.RECOVER, 0) + + def REDUCE(self): + return self.getToken(SqlBaseParser.REDUCE, 0) + + def REFRESH(self): + return self.getToken(SqlBaseParser.REFRESH, 0) + + def RENAME(self): + return self.getToken(SqlBaseParser.RENAME, 0) + + def REPAIR(self): + return self.getToken(SqlBaseParser.REPAIR, 0) + + def REPEATABLE(self): + return self.getToken(SqlBaseParser.REPEATABLE, 0) + + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + + def RESET(self): + return self.getToken(SqlBaseParser.RESET, 0) + + def RESPECT(self): + return self.getToken(SqlBaseParser.RESPECT, 0) + + def RESTRICT(self): + return self.getToken(SqlBaseParser.RESTRICT, 0) + + def REVOKE(self): + return self.getToken(SqlBaseParser.REVOKE, 0) + + def RLIKE(self): + return self.getToken(SqlBaseParser.RLIKE, 0) + + def ROLE(self): + return self.getToken(SqlBaseParser.ROLE, 0) + + def ROLES(self): + return self.getToken(SqlBaseParser.ROLES, 0) + + def ROLLBACK(self): + return self.getToken(SqlBaseParser.ROLLBACK, 0) + + def ROLLUP(self): + return self.getToken(SqlBaseParser.ROLLUP, 0) + + def ROW(self): + return self.getToken(SqlBaseParser.ROW, 0) + + def ROWS(self): + return self.getToken(SqlBaseParser.ROWS, 0) + + def SCHEMA(self): + return self.getToken(SqlBaseParser.SCHEMA, 0) + + def SCHEMAS(self): + return self.getToken(SqlBaseParser.SCHEMAS, 0) + + def SECOND(self): + return self.getToken(SqlBaseParser.SECOND, 0) + + def SECONDS(self): + return self.getToken(SqlBaseParser.SECONDS, 0) + + def SEMI(self): + return self.getToken(SqlBaseParser.SEMI, 0) + + def SEPARATED(self): + return self.getToken(SqlBaseParser.SEPARATED, 0) + + def SERDE(self): + return self.getToken(SqlBaseParser.SERDE, 0) + + def SERDEPROPERTIES(self): + return self.getToken(SqlBaseParser.SERDEPROPERTIES, 0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + + def SETMINUS(self): + return self.getToken(SqlBaseParser.SETMINUS, 0) + + def SETS(self): + return self.getToken(SqlBaseParser.SETS, 0) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + + def SKEWED(self): + return self.getToken(SqlBaseParser.SKEWED, 0) + + def SORT(self): + return self.getToken(SqlBaseParser.SORT, 0) + + def SORTED(self): + return self.getToken(SqlBaseParser.SORTED, 0) + + def SOURCE(self): + return self.getToken(SqlBaseParser.SOURCE, 0) + + def START(self): + return self.getToken(SqlBaseParser.START, 0) + + def STATISTICS(self): + return self.getToken(SqlBaseParser.STATISTICS, 0) + + def STORED(self): + return self.getToken(SqlBaseParser.STORED, 0) + + def STRATIFY(self): + return self.getToken(SqlBaseParser.STRATIFY, 0) + + def STRUCT(self): + return self.getToken(SqlBaseParser.STRUCT, 0) + + def SUBSTR(self): + return self.getToken(SqlBaseParser.SUBSTR, 0) + + def SUBSTRING(self): + return self.getToken(SqlBaseParser.SUBSTRING, 0) + + def SYNC(self): + return self.getToken(SqlBaseParser.SYNC, 0) + + def SYSTEM_TIME(self): + return self.getToken(SqlBaseParser.SYSTEM_TIME, 0) + + def SYSTEM_VERSION(self): + return self.getToken(SqlBaseParser.SYSTEM_VERSION, 0) + + def TABLES(self): + return self.getToken(SqlBaseParser.TABLES, 0) + + def TABLESAMPLE(self): + return self.getToken(SqlBaseParser.TABLESAMPLE, 0) + + def TARGET(self): + return self.getToken(SqlBaseParser.TARGET, 0) + + def TBLPROPERTIES(self): + return self.getToken(SqlBaseParser.TBLPROPERTIES, 0) + + def TEMPORARY(self): + return self.getToken(SqlBaseParser.TEMPORARY, 0) + + def TERMINATED(self): + return self.getToken(SqlBaseParser.TERMINATED, 0) + + def TIMESTAMP(self): + return self.getToken(SqlBaseParser.TIMESTAMP, 0) + + def TIMESTAMPADD(self): + return self.getToken(SqlBaseParser.TIMESTAMPADD, 0) + + def TIMESTAMPDIFF(self): + return self.getToken(SqlBaseParser.TIMESTAMPDIFF, 0) + + def TOUCH(self): + return self.getToken(SqlBaseParser.TOUCH, 0) + + def TRANSACTION(self): + return self.getToken(SqlBaseParser.TRANSACTION, 0) + + def TRANSACTIONS(self): + return self.getToken(SqlBaseParser.TRANSACTIONS, 0) + + def TRANSFORM(self): + return self.getToken(SqlBaseParser.TRANSFORM, 0) + + def TRIM(self): + return self.getToken(SqlBaseParser.TRIM, 0) + + def TRUE(self): + return self.getToken(SqlBaseParser.TRUE, 0) + + def TRUNCATE(self): + return self.getToken(SqlBaseParser.TRUNCATE, 0) + + def TRY_CAST(self): + return self.getToken(SqlBaseParser.TRY_CAST, 0) + + def TYPE(self): + return self.getToken(SqlBaseParser.TYPE, 0) + + def UNARCHIVE(self): + return self.getToken(SqlBaseParser.UNARCHIVE, 0) + + def UNBOUNDED(self): + return self.getToken(SqlBaseParser.UNBOUNDED, 0) + + def UNCACHE(self): + return self.getToken(SqlBaseParser.UNCACHE, 0) + + def UNLOCK(self): + return self.getToken(SqlBaseParser.UNLOCK, 0) + + def UNPIVOT(self): + return self.getToken(SqlBaseParser.UNPIVOT, 0) + + def UNSET(self): + return self.getToken(SqlBaseParser.UNSET, 0) + + def UPDATE(self): + return self.getToken(SqlBaseParser.UPDATE, 0) + + def USE(self): + return self.getToken(SqlBaseParser.USE, 0) + + def VALUES(self): + return self.getToken(SqlBaseParser.VALUES, 0) + + def VERSION(self): + return self.getToken(SqlBaseParser.VERSION, 0) + + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + + def VIEWS(self): + return self.getToken(SqlBaseParser.VIEWS, 0) + + def WEEK(self): + return self.getToken(SqlBaseParser.WEEK, 0) + + def WEEKS(self): + return self.getToken(SqlBaseParser.WEEKS, 0) + + def WINDOW(self): + return self.getToken(SqlBaseParser.WINDOW, 0) + + def YEAR(self): + return self.getToken(SqlBaseParser.YEAR, 0) + + def YEARS(self): + return self.getToken(SqlBaseParser.YEARS, 0) + + def ZONE(self): + return self.getToken(SqlBaseParser.ZONE, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_ansiNonReserved + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterAnsiNonReserved" ): + listener.enterAnsiNonReserved(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitAnsiNonReserved" ): + listener.exitAnsiNonReserved(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitAnsiNonReserved" ): + return visitor.visitAnsiNonReserved(self) + else: + return visitor.visitChildren(self) + + + + + def ansiNonReserved(self): + + localctx = SqlBaseParser.AnsiNonReservedContext(self, self._ctx, self.state) + self.enterRule(localctx, 344, self.RULE_ansiNonReserved) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3542 + _la = self._input.LA(1) + if not((((_la) & ~0x3f) == 0 and ((1 << _la) & -2191012289037026560) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -4906136928869974017) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -677567443547206837) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -4576167932199175) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4028402566609403) != 0)): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class StrictNonReservedContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def ANTI(self): + return self.getToken(SqlBaseParser.ANTI, 0) + + def CROSS(self): + return self.getToken(SqlBaseParser.CROSS, 0) + + def EXCEPT(self): + return self.getToken(SqlBaseParser.EXCEPT, 0) + + def FULL(self): + return self.getToken(SqlBaseParser.FULL, 0) + + def INNER(self): + return self.getToken(SqlBaseParser.INNER, 0) + + def INTERSECT(self): + return self.getToken(SqlBaseParser.INTERSECT, 0) + + def JOIN(self): + return self.getToken(SqlBaseParser.JOIN, 0) + + def LATERAL(self): + return self.getToken(SqlBaseParser.LATERAL, 0) + + def LEFT(self): + return self.getToken(SqlBaseParser.LEFT, 0) + + def NATURAL(self): + return self.getToken(SqlBaseParser.NATURAL, 0) + + def ON(self): + return self.getToken(SqlBaseParser.ON, 0) + + def RIGHT(self): + return self.getToken(SqlBaseParser.RIGHT, 0) + + def SEMI(self): + return self.getToken(SqlBaseParser.SEMI, 0) + + def SETMINUS(self): + return self.getToken(SqlBaseParser.SETMINUS, 0) + + def UNION(self): + return self.getToken(SqlBaseParser.UNION, 0) + + def USING(self): + return self.getToken(SqlBaseParser.USING, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_strictNonReserved + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterStrictNonReserved" ): + listener.enterStrictNonReserved(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitStrictNonReserved" ): + listener.exitStrictNonReserved(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitStrictNonReserved" ): + return visitor.visitStrictNonReserved(self) + else: + return visitor.visitChildren(self) + + + + + def strictNonReserved(self): + + localctx = SqlBaseParser.StrictNonReservedContext(self, self._ctx, self.state) + self.enterRule(localctx, 346, self.RULE_strictNonReserved) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3544 + _la = self._input.LA(1) + if not(_la==15 or _la==54 or ((((_la - 87)) & ~0x3f) == 0 and ((1 << (_la - 87)) & 20557019150811137) != 0) or ((((_la - 170)) & ~0x3f) == 0 and ((1 << (_la - 170)) & 2251799813685377) != 0) or ((((_la - 234)) & ~0x3f) == 0 and ((1 << (_la - 234)) & 577586652210266177) != 0)): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + class NonReservedContext(ParserRuleContext): + __slots__ = 'parser' + + def __init__(self, parser, parent:ParserRuleContext=None, invokingState:int=-1): + super().__init__(parent, invokingState) + self.parser = parser + + def ADD(self): + return self.getToken(SqlBaseParser.ADD, 0) + + def AFTER(self): + return self.getToken(SqlBaseParser.AFTER, 0) + + def ALL(self): + return self.getToken(SqlBaseParser.ALL, 0) + + def ALTER(self): + return self.getToken(SqlBaseParser.ALTER, 0) + + def ALWAYS(self): + return self.getToken(SqlBaseParser.ALWAYS, 0) + + def ANALYZE(self): + return self.getToken(SqlBaseParser.ANALYZE, 0) + + def AND(self): + return self.getToken(SqlBaseParser.AND, 0) + + def ANY(self): + return self.getToken(SqlBaseParser.ANY, 0) + + def ANY_VALUE(self): + return self.getToken(SqlBaseParser.ANY_VALUE, 0) + + def ARCHIVE(self): + return self.getToken(SqlBaseParser.ARCHIVE, 0) + + def ARRAY(self): + return self.getToken(SqlBaseParser.ARRAY, 0) + + def AS(self): + return self.getToken(SqlBaseParser.AS, 0) + + def ASC(self): + return self.getToken(SqlBaseParser.ASC, 0) + + def AT(self): + return self.getToken(SqlBaseParser.AT, 0) + + def AUTHORIZATION(self): + return self.getToken(SqlBaseParser.AUTHORIZATION, 0) + + def BETWEEN(self): + return self.getToken(SqlBaseParser.BETWEEN, 0) + + def BOTH(self): + return self.getToken(SqlBaseParser.BOTH, 0) + + def BUCKET(self): + return self.getToken(SqlBaseParser.BUCKET, 0) + + def BUCKETS(self): + return self.getToken(SqlBaseParser.BUCKETS, 0) + + def BY(self): + return self.getToken(SqlBaseParser.BY, 0) + + def CACHE(self): + return self.getToken(SqlBaseParser.CACHE, 0) + + def CASCADE(self): + return self.getToken(SqlBaseParser.CASCADE, 0) + + def CASE(self): + return self.getToken(SqlBaseParser.CASE, 0) + + def CAST(self): + return self.getToken(SqlBaseParser.CAST, 0) + + def CATALOG(self): + return self.getToken(SqlBaseParser.CATALOG, 0) + + def CATALOGS(self): + return self.getToken(SqlBaseParser.CATALOGS, 0) + + def CHANGE(self): + return self.getToken(SqlBaseParser.CHANGE, 0) + + def CHECK(self): + return self.getToken(SqlBaseParser.CHECK, 0) + + def CLEAR(self): + return self.getToken(SqlBaseParser.CLEAR, 0) + + def CLUSTER(self): + return self.getToken(SqlBaseParser.CLUSTER, 0) + + def CLUSTERED(self): + return self.getToken(SqlBaseParser.CLUSTERED, 0) + + def CODEGEN(self): + return self.getToken(SqlBaseParser.CODEGEN, 0) + + def COLLATE(self): + return self.getToken(SqlBaseParser.COLLATE, 0) + + def COLLECTION(self): + return self.getToken(SqlBaseParser.COLLECTION, 0) + + def COLUMN(self): + return self.getToken(SqlBaseParser.COLUMN, 0) + + def COLUMNS(self): + return self.getToken(SqlBaseParser.COLUMNS, 0) + + def COMMENT(self): + return self.getToken(SqlBaseParser.COMMENT, 0) + + def COMMIT(self): + return self.getToken(SqlBaseParser.COMMIT, 0) + + def COMPACT(self): + return self.getToken(SqlBaseParser.COMPACT, 0) + + def COMPACTIONS(self): + return self.getToken(SqlBaseParser.COMPACTIONS, 0) + + def COMPUTE(self): + return self.getToken(SqlBaseParser.COMPUTE, 0) + + def CONCATENATE(self): + return self.getToken(SqlBaseParser.CONCATENATE, 0) + + def CONSTRAINT(self): + return self.getToken(SqlBaseParser.CONSTRAINT, 0) + + def COST(self): + return self.getToken(SqlBaseParser.COST, 0) + + def CREATE(self): + return self.getToken(SqlBaseParser.CREATE, 0) + + def CUBE(self): + return self.getToken(SqlBaseParser.CUBE, 0) + + def CURRENT(self): + return self.getToken(SqlBaseParser.CURRENT, 0) + + def CURRENT_DATE(self): + return self.getToken(SqlBaseParser.CURRENT_DATE, 0) + + def CURRENT_TIME(self): + return self.getToken(SqlBaseParser.CURRENT_TIME, 0) + + def CURRENT_TIMESTAMP(self): + return self.getToken(SqlBaseParser.CURRENT_TIMESTAMP, 0) + + def CURRENT_USER(self): + return self.getToken(SqlBaseParser.CURRENT_USER, 0) + + def DATA(self): + return self.getToken(SqlBaseParser.DATA, 0) + + def DATABASE(self): + return self.getToken(SqlBaseParser.DATABASE, 0) + + def DATABASES(self): + return self.getToken(SqlBaseParser.DATABASES, 0) + + def DATEADD(self): + return self.getToken(SqlBaseParser.DATEADD, 0) + + def DATEDIFF(self): + return self.getToken(SqlBaseParser.DATEDIFF, 0) + + def DAY(self): + return self.getToken(SqlBaseParser.DAY, 0) + + def DAYS(self): + return self.getToken(SqlBaseParser.DAYS, 0) + + def DAYOFYEAR(self): + return self.getToken(SqlBaseParser.DAYOFYEAR, 0) + + def DBPROPERTIES(self): + return self.getToken(SqlBaseParser.DBPROPERTIES, 0) + + def DEFAULT(self): + return self.getToken(SqlBaseParser.DEFAULT, 0) + + def DEFINED(self): + return self.getToken(SqlBaseParser.DEFINED, 0) + + def DELETE(self): + return self.getToken(SqlBaseParser.DELETE, 0) + + def DELIMITED(self): + return self.getToken(SqlBaseParser.DELIMITED, 0) + + def DESC(self): + return self.getToken(SqlBaseParser.DESC, 0) + + def DESCRIBE(self): + return self.getToken(SqlBaseParser.DESCRIBE, 0) + + def DFS(self): + return self.getToken(SqlBaseParser.DFS, 0) + + def DIRECTORIES(self): + return self.getToken(SqlBaseParser.DIRECTORIES, 0) + + def DIRECTORY(self): + return self.getToken(SqlBaseParser.DIRECTORY, 0) + + def DISTINCT(self): + return self.getToken(SqlBaseParser.DISTINCT, 0) + + def DISTRIBUTE(self): + return self.getToken(SqlBaseParser.DISTRIBUTE, 0) + + def DIV(self): + return self.getToken(SqlBaseParser.DIV, 0) + + def DROP(self): + return self.getToken(SqlBaseParser.DROP, 0) + + def ELSE(self): + return self.getToken(SqlBaseParser.ELSE, 0) + + def END(self): + return self.getToken(SqlBaseParser.END, 0) + + def ESCAPE(self): + return self.getToken(SqlBaseParser.ESCAPE, 0) + + def ESCAPED(self): + return self.getToken(SqlBaseParser.ESCAPED, 0) + + def EXCHANGE(self): + return self.getToken(SqlBaseParser.EXCHANGE, 0) + + def EXCLUDE(self): + return self.getToken(SqlBaseParser.EXCLUDE, 0) + + def EXISTS(self): + return self.getToken(SqlBaseParser.EXISTS, 0) + + def EXPLAIN(self): + return self.getToken(SqlBaseParser.EXPLAIN, 0) + + def EXPORT(self): + return self.getToken(SqlBaseParser.EXPORT, 0) + + def EXTENDED(self): + return self.getToken(SqlBaseParser.EXTENDED, 0) + + def EXTERNAL(self): + return self.getToken(SqlBaseParser.EXTERNAL, 0) + + def EXTRACT(self): + return self.getToken(SqlBaseParser.EXTRACT, 0) + + def FALSE(self): + return self.getToken(SqlBaseParser.FALSE, 0) + + def FETCH(self): + return self.getToken(SqlBaseParser.FETCH, 0) + + def FILTER(self): + return self.getToken(SqlBaseParser.FILTER, 0) + + def FIELDS(self): + return self.getToken(SqlBaseParser.FIELDS, 0) + + def FILEFORMAT(self): + return self.getToken(SqlBaseParser.FILEFORMAT, 0) + + def FIRST(self): + return self.getToken(SqlBaseParser.FIRST, 0) + + def FOLLOWING(self): + return self.getToken(SqlBaseParser.FOLLOWING, 0) + + def FOR(self): + return self.getToken(SqlBaseParser.FOR, 0) + + def FOREIGN(self): + return self.getToken(SqlBaseParser.FOREIGN, 0) + + def FORMAT(self): + return self.getToken(SqlBaseParser.FORMAT, 0) + + def FORMATTED(self): + return self.getToken(SqlBaseParser.FORMATTED, 0) + + def FROM(self): + return self.getToken(SqlBaseParser.FROM, 0) + + def FUNCTION(self): + return self.getToken(SqlBaseParser.FUNCTION, 0) + + def FUNCTIONS(self): + return self.getToken(SqlBaseParser.FUNCTIONS, 0) + + def GENERATED(self): + return self.getToken(SqlBaseParser.GENERATED, 0) + + def GLOBAL(self): + return self.getToken(SqlBaseParser.GLOBAL, 0) + + def GRANT(self): + return self.getToken(SqlBaseParser.GRANT, 0) + + def GROUP(self): + return self.getToken(SqlBaseParser.GROUP, 0) + + def GROUPING(self): + return self.getToken(SqlBaseParser.GROUPING, 0) + + def HAVING(self): + return self.getToken(SqlBaseParser.HAVING, 0) + + def HOUR(self): + return self.getToken(SqlBaseParser.HOUR, 0) + + def HOURS(self): + return self.getToken(SqlBaseParser.HOURS, 0) + + def IF(self): + return self.getToken(SqlBaseParser.IF, 0) + + def IGNORE(self): + return self.getToken(SqlBaseParser.IGNORE, 0) + + def IMPORT(self): + return self.getToken(SqlBaseParser.IMPORT, 0) + + def IN(self): + return self.getToken(SqlBaseParser.IN, 0) + + def INCLUDE(self): + return self.getToken(SqlBaseParser.INCLUDE, 0) + + def INDEX(self): + return self.getToken(SqlBaseParser.INDEX, 0) + + def INDEXES(self): + return self.getToken(SqlBaseParser.INDEXES, 0) + + def INPATH(self): + return self.getToken(SqlBaseParser.INPATH, 0) + + def INPUTFORMAT(self): + return self.getToken(SqlBaseParser.INPUTFORMAT, 0) + + def INSERT(self): + return self.getToken(SqlBaseParser.INSERT, 0) + + def INTERVAL(self): + return self.getToken(SqlBaseParser.INTERVAL, 0) + + def INTO(self): + return self.getToken(SqlBaseParser.INTO, 0) + + def IS(self): + return self.getToken(SqlBaseParser.IS, 0) + + def ITEMS(self): + return self.getToken(SqlBaseParser.ITEMS, 0) + + def KEYS(self): + return self.getToken(SqlBaseParser.KEYS, 0) + + def LAST(self): + return self.getToken(SqlBaseParser.LAST, 0) + + def LAZY(self): + return self.getToken(SqlBaseParser.LAZY, 0) + + def LEADING(self): + return self.getToken(SqlBaseParser.LEADING, 0) + + def LIKE(self): + return self.getToken(SqlBaseParser.LIKE, 0) + + def ILIKE(self): + return self.getToken(SqlBaseParser.ILIKE, 0) + + def LIMIT(self): + return self.getToken(SqlBaseParser.LIMIT, 0) + + def LINES(self): + return self.getToken(SqlBaseParser.LINES, 0) + + def LIST(self): + return self.getToken(SqlBaseParser.LIST, 0) + + def LOAD(self): + return self.getToken(SqlBaseParser.LOAD, 0) + + def LOCAL(self): + return self.getToken(SqlBaseParser.LOCAL, 0) + + def LOCATION(self): + return self.getToken(SqlBaseParser.LOCATION, 0) + + def LOCK(self): + return self.getToken(SqlBaseParser.LOCK, 0) + + def LOCKS(self): + return self.getToken(SqlBaseParser.LOCKS, 0) + + def LOGICAL(self): + return self.getToken(SqlBaseParser.LOGICAL, 0) + + def MACRO(self): + return self.getToken(SqlBaseParser.MACRO, 0) + + def MAP(self): + return self.getToken(SqlBaseParser.MAP, 0) + + def MATCHED(self): + return self.getToken(SqlBaseParser.MATCHED, 0) + + def MERGE(self): + return self.getToken(SqlBaseParser.MERGE, 0) + + def MICROSECOND(self): + return self.getToken(SqlBaseParser.MICROSECOND, 0) + + def MICROSECONDS(self): + return self.getToken(SqlBaseParser.MICROSECONDS, 0) + + def MILLISECOND(self): + return self.getToken(SqlBaseParser.MILLISECOND, 0) + + def MILLISECONDS(self): + return self.getToken(SqlBaseParser.MILLISECONDS, 0) + + def MINUTE(self): + return self.getToken(SqlBaseParser.MINUTE, 0) + + def MINUTES(self): + return self.getToken(SqlBaseParser.MINUTES, 0) + + def MONTH(self): + return self.getToken(SqlBaseParser.MONTH, 0) + + def MONTHS(self): + return self.getToken(SqlBaseParser.MONTHS, 0) + + def MSCK(self): + return self.getToken(SqlBaseParser.MSCK, 0) + + def NAMESPACE(self): + return self.getToken(SqlBaseParser.NAMESPACE, 0) + + def NAMESPACES(self): + return self.getToken(SqlBaseParser.NAMESPACES, 0) + + def NANOSECOND(self): + return self.getToken(SqlBaseParser.NANOSECOND, 0) + + def NANOSECONDS(self): + return self.getToken(SqlBaseParser.NANOSECONDS, 0) + + def NO(self): + return self.getToken(SqlBaseParser.NO, 0) + + def NOT(self): + return self.getToken(SqlBaseParser.NOT, 0) + + def NULL(self): + return self.getToken(SqlBaseParser.NULL, 0) + + def NULLS(self): + return self.getToken(SqlBaseParser.NULLS, 0) + + def OF(self): + return self.getToken(SqlBaseParser.OF, 0) + + def OFFSET(self): + return self.getToken(SqlBaseParser.OFFSET, 0) + + def ONLY(self): + return self.getToken(SqlBaseParser.ONLY, 0) + + def OPTION(self): + return self.getToken(SqlBaseParser.OPTION, 0) + + def OPTIONS(self): + return self.getToken(SqlBaseParser.OPTIONS, 0) + + def OR(self): + return self.getToken(SqlBaseParser.OR, 0) + + def ORDER(self): + return self.getToken(SqlBaseParser.ORDER, 0) + + def OUT(self): + return self.getToken(SqlBaseParser.OUT, 0) + + def OUTER(self): + return self.getToken(SqlBaseParser.OUTER, 0) + + def OUTPUTFORMAT(self): + return self.getToken(SqlBaseParser.OUTPUTFORMAT, 0) + + def OVER(self): + return self.getToken(SqlBaseParser.OVER, 0) + + def OVERLAPS(self): + return self.getToken(SqlBaseParser.OVERLAPS, 0) + + def OVERLAY(self): + return self.getToken(SqlBaseParser.OVERLAY, 0) + + def OVERWRITE(self): + return self.getToken(SqlBaseParser.OVERWRITE, 0) + + def PARTITION(self): + return self.getToken(SqlBaseParser.PARTITION, 0) + + def PARTITIONED(self): + return self.getToken(SqlBaseParser.PARTITIONED, 0) + + def PARTITIONS(self): + return self.getToken(SqlBaseParser.PARTITIONS, 0) + + def PERCENTILE_CONT(self): + return self.getToken(SqlBaseParser.PERCENTILE_CONT, 0) + + def PERCENTILE_DISC(self): + return self.getToken(SqlBaseParser.PERCENTILE_DISC, 0) + + def PERCENTLIT(self): + return self.getToken(SqlBaseParser.PERCENTLIT, 0) + + def PIVOT(self): + return self.getToken(SqlBaseParser.PIVOT, 0) + + def PLACING(self): + return self.getToken(SqlBaseParser.PLACING, 0) + + def POSITION(self): + return self.getToken(SqlBaseParser.POSITION, 0) + + def PRECEDING(self): + return self.getToken(SqlBaseParser.PRECEDING, 0) + + def PRIMARY(self): + return self.getToken(SqlBaseParser.PRIMARY, 0) + + def PRINCIPALS(self): + return self.getToken(SqlBaseParser.PRINCIPALS, 0) + + def PROPERTIES(self): + return self.getToken(SqlBaseParser.PROPERTIES, 0) + + def PURGE(self): + return self.getToken(SqlBaseParser.PURGE, 0) + + def QUARTER(self): + return self.getToken(SqlBaseParser.QUARTER, 0) + + def QUERY(self): + return self.getToken(SqlBaseParser.QUERY, 0) + + def RANGE(self): + return self.getToken(SqlBaseParser.RANGE, 0) + + def RECORDREADER(self): + return self.getToken(SqlBaseParser.RECORDREADER, 0) + + def RECORDWRITER(self): + return self.getToken(SqlBaseParser.RECORDWRITER, 0) + + def RECOVER(self): + return self.getToken(SqlBaseParser.RECOVER, 0) + + def REDUCE(self): + return self.getToken(SqlBaseParser.REDUCE, 0) + + def REFERENCES(self): + return self.getToken(SqlBaseParser.REFERENCES, 0) + + def REFRESH(self): + return self.getToken(SqlBaseParser.REFRESH, 0) + + def RENAME(self): + return self.getToken(SqlBaseParser.RENAME, 0) + + def REPAIR(self): + return self.getToken(SqlBaseParser.REPAIR, 0) + + def REPEATABLE(self): + return self.getToken(SqlBaseParser.REPEATABLE, 0) + + def REPLACE(self): + return self.getToken(SqlBaseParser.REPLACE, 0) + + def RESET(self): + return self.getToken(SqlBaseParser.RESET, 0) + + def RESPECT(self): + return self.getToken(SqlBaseParser.RESPECT, 0) + + def RESTRICT(self): + return self.getToken(SqlBaseParser.RESTRICT, 0) + + def REVOKE(self): + return self.getToken(SqlBaseParser.REVOKE, 0) + + def RLIKE(self): + return self.getToken(SqlBaseParser.RLIKE, 0) + + def ROLE(self): + return self.getToken(SqlBaseParser.ROLE, 0) + + def ROLES(self): + return self.getToken(SqlBaseParser.ROLES, 0) + + def ROLLBACK(self): + return self.getToken(SqlBaseParser.ROLLBACK, 0) + + def ROLLUP(self): + return self.getToken(SqlBaseParser.ROLLUP, 0) + + def ROW(self): + return self.getToken(SqlBaseParser.ROW, 0) + + def ROWS(self): + return self.getToken(SqlBaseParser.ROWS, 0) + + def SCHEMA(self): + return self.getToken(SqlBaseParser.SCHEMA, 0) + + def SCHEMAS(self): + return self.getToken(SqlBaseParser.SCHEMAS, 0) + + def SECOND(self): + return self.getToken(SqlBaseParser.SECOND, 0) + + def SECONDS(self): + return self.getToken(SqlBaseParser.SECONDS, 0) + + def SELECT(self): + return self.getToken(SqlBaseParser.SELECT, 0) + + def SEPARATED(self): + return self.getToken(SqlBaseParser.SEPARATED, 0) + + def SERDE(self): + return self.getToken(SqlBaseParser.SERDE, 0) + + def SERDEPROPERTIES(self): + return self.getToken(SqlBaseParser.SERDEPROPERTIES, 0) + + def SESSION_USER(self): + return self.getToken(SqlBaseParser.SESSION_USER, 0) + + def SET(self): + return self.getToken(SqlBaseParser.SET, 0) + + def SETS(self): + return self.getToken(SqlBaseParser.SETS, 0) + + def SHOW(self): + return self.getToken(SqlBaseParser.SHOW, 0) + + def SKEWED(self): + return self.getToken(SqlBaseParser.SKEWED, 0) + + def SOME(self): + return self.getToken(SqlBaseParser.SOME, 0) + + def SORT(self): + return self.getToken(SqlBaseParser.SORT, 0) + + def SORTED(self): + return self.getToken(SqlBaseParser.SORTED, 0) + + def SOURCE(self): + return self.getToken(SqlBaseParser.SOURCE, 0) + + def START(self): + return self.getToken(SqlBaseParser.START, 0) + + def STATISTICS(self): + return self.getToken(SqlBaseParser.STATISTICS, 0) + + def STORED(self): + return self.getToken(SqlBaseParser.STORED, 0) + + def STRATIFY(self): + return self.getToken(SqlBaseParser.STRATIFY, 0) + + def STRUCT(self): + return self.getToken(SqlBaseParser.STRUCT, 0) + + def SUBSTR(self): + return self.getToken(SqlBaseParser.SUBSTR, 0) + + def SUBSTRING(self): + return self.getToken(SqlBaseParser.SUBSTRING, 0) + + def SYNC(self): + return self.getToken(SqlBaseParser.SYNC, 0) + + def SYSTEM_TIME(self): + return self.getToken(SqlBaseParser.SYSTEM_TIME, 0) + + def SYSTEM_VERSION(self): + return self.getToken(SqlBaseParser.SYSTEM_VERSION, 0) + + def TABLE(self): + return self.getToken(SqlBaseParser.TABLE, 0) + + def TABLES(self): + return self.getToken(SqlBaseParser.TABLES, 0) + + def TABLESAMPLE(self): + return self.getToken(SqlBaseParser.TABLESAMPLE, 0) + + def TARGET(self): + return self.getToken(SqlBaseParser.TARGET, 0) + + def TBLPROPERTIES(self): + return self.getToken(SqlBaseParser.TBLPROPERTIES, 0) + + def TEMPORARY(self): + return self.getToken(SqlBaseParser.TEMPORARY, 0) + + def TERMINATED(self): + return self.getToken(SqlBaseParser.TERMINATED, 0) + + def THEN(self): + return self.getToken(SqlBaseParser.THEN, 0) + + def TIME(self): + return self.getToken(SqlBaseParser.TIME, 0) + + def TIMESTAMP(self): + return self.getToken(SqlBaseParser.TIMESTAMP, 0) + + def TIMESTAMPADD(self): + return self.getToken(SqlBaseParser.TIMESTAMPADD, 0) + + def TIMESTAMPDIFF(self): + return self.getToken(SqlBaseParser.TIMESTAMPDIFF, 0) + + def TO(self): + return self.getToken(SqlBaseParser.TO, 0) + + def TOUCH(self): + return self.getToken(SqlBaseParser.TOUCH, 0) + + def TRAILING(self): + return self.getToken(SqlBaseParser.TRAILING, 0) + + def TRANSACTION(self): + return self.getToken(SqlBaseParser.TRANSACTION, 0) + + def TRANSACTIONS(self): + return self.getToken(SqlBaseParser.TRANSACTIONS, 0) + + def TRANSFORM(self): + return self.getToken(SqlBaseParser.TRANSFORM, 0) + + def TRIM(self): + return self.getToken(SqlBaseParser.TRIM, 0) + + def TRUE(self): + return self.getToken(SqlBaseParser.TRUE, 0) + + def TRUNCATE(self): + return self.getToken(SqlBaseParser.TRUNCATE, 0) + + def TRY_CAST(self): + return self.getToken(SqlBaseParser.TRY_CAST, 0) + + def TYPE(self): + return self.getToken(SqlBaseParser.TYPE, 0) + + def UNARCHIVE(self): + return self.getToken(SqlBaseParser.UNARCHIVE, 0) + + def UNBOUNDED(self): + return self.getToken(SqlBaseParser.UNBOUNDED, 0) + + def UNCACHE(self): + return self.getToken(SqlBaseParser.UNCACHE, 0) + + def UNIQUE(self): + return self.getToken(SqlBaseParser.UNIQUE, 0) + + def UNKNOWN(self): + return self.getToken(SqlBaseParser.UNKNOWN, 0) + + def UNLOCK(self): + return self.getToken(SqlBaseParser.UNLOCK, 0) + + def UNPIVOT(self): + return self.getToken(SqlBaseParser.UNPIVOT, 0) + + def UNSET(self): + return self.getToken(SqlBaseParser.UNSET, 0) + + def UPDATE(self): + return self.getToken(SqlBaseParser.UPDATE, 0) + + def USE(self): + return self.getToken(SqlBaseParser.USE, 0) + + def USER(self): + return self.getToken(SqlBaseParser.USER, 0) + + def VALUES(self): + return self.getToken(SqlBaseParser.VALUES, 0) + + def VERSION(self): + return self.getToken(SqlBaseParser.VERSION, 0) + + def VIEW(self): + return self.getToken(SqlBaseParser.VIEW, 0) + + def VIEWS(self): + return self.getToken(SqlBaseParser.VIEWS, 0) + + def WEEK(self): + return self.getToken(SqlBaseParser.WEEK, 0) + + def WEEKS(self): + return self.getToken(SqlBaseParser.WEEKS, 0) + + def WHEN(self): + return self.getToken(SqlBaseParser.WHEN, 0) + + def WHERE(self): + return self.getToken(SqlBaseParser.WHERE, 0) + + def WINDOW(self): + return self.getToken(SqlBaseParser.WINDOW, 0) + + def WITH(self): + return self.getToken(SqlBaseParser.WITH, 0) + + def WITHIN(self): + return self.getToken(SqlBaseParser.WITHIN, 0) + + def YEAR(self): + return self.getToken(SqlBaseParser.YEAR, 0) + + def YEARS(self): + return self.getToken(SqlBaseParser.YEARS, 0) + + def ZONE(self): + return self.getToken(SqlBaseParser.ZONE, 0) + + def getRuleIndex(self): + return SqlBaseParser.RULE_nonReserved + + def enterRule(self, listener:ParseTreeListener): + if hasattr( listener, "enterNonReserved" ): + listener.enterNonReserved(self) + + def exitRule(self, listener:ParseTreeListener): + if hasattr( listener, "exitNonReserved" ): + listener.exitNonReserved(self) + + def accept(self, visitor:ParseTreeVisitor): + if hasattr( visitor, "visitNonReserved" ): + return visitor.visitNonReserved(self) + else: + return visitor.visitChildren(self) + + + + + def nonReserved(self): + + localctx = SqlBaseParser.NonReservedContext(self, self._ctx, self.state) + self.enterRule(localctx, 348, self.RULE_nonReserved) + self._la = 0 # Token type + try: + self.enterOuterAlt(localctx, 1) + self.state = 3546 + _la = self._input.LA(1) + if not((((_la) & ~0x3f) == 0 and ((1 << _la) & -18014398509515008) != 0) or ((((_la - 64)) & ~0x3f) == 0 and ((1 << (_la - 64)) & -4611703610621820929) != 0) or ((((_la - 128)) & ~0x3f) == 0 and ((1 << (_la - 128)) & -567347999941765) != 0) or ((((_la - 192)) & ~0x3f) == 0 and ((1 << (_la - 192)) & -285873560092673) != 0) or ((((_la - 256)) & ~0x3f) == 0 and ((1 << (_la - 256)) & 4503461919981567) != 0)): + self._errHandler.recoverInline(self) + else: + self._errHandler.reportMatch(self) + self.consume() + except RecognitionException as re: + localctx.exception = re + self._errHandler.reportError(self, re) + self._errHandler.recover(self, re) + finally: + self.exitRule() + return localctx + + + + def sempred(self, localctx:RuleContext, ruleIndex:int, predIndex:int): + if self._predicates == None: + self._predicates = dict() + self._predicates[29] = self.queryTerm_sempred + self._predicates[120] = self.booleanExpression_sempred + self._predicates[122] = self.valueExpression_sempred + self._predicates[124] = self.primaryExpression_sempred + pred = self._predicates.get(ruleIndex, None) + if pred is None: + raise Exception("No predicate with index:" + str(ruleIndex)) + else: + return pred(localctx, predIndex) + + def queryTerm_sempred(self, localctx:QueryTermContext, predIndex:int): + if predIndex == 0: + return self.precpred(self._ctx, 1) + + + def booleanExpression_sempred(self, localctx:BooleanExpressionContext, predIndex:int): + if predIndex == 1: + return self.precpred(self._ctx, 2) + + + if predIndex == 2: + return self.precpred(self._ctx, 1) + + + def valueExpression_sempred(self, localctx:ValueExpressionContext, predIndex:int): + if predIndex == 3: + return self.precpred(self._ctx, 6) + + + if predIndex == 4: + return self.precpred(self._ctx, 5) + + + if predIndex == 5: + return self.precpred(self._ctx, 4) + + + if predIndex == 6: + return self.precpred(self._ctx, 3) + + + if predIndex == 7: + return self.precpred(self._ctx, 2) + + + if predIndex == 8: + return self.precpred(self._ctx, 1) + + + def primaryExpression_sempred(self, localctx:PrimaryExpressionContext, predIndex:int): + if predIndex == 9: + return self.precpred(self._ctx, 9) + + + if predIndex == 10: + return self.precpred(self._ctx, 7) + + + + + diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParser.tokens b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParser.tokens new file mode 100644 index 000000000..c76d66e32 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParser.tokens @@ -0,0 +1,669 @@ +SEMICOLON=1 +LEFT_PAREN=2 +RIGHT_PAREN=3 +COMMA=4 +DOT=5 +LEFT_BRACKET=6 +RIGHT_BRACKET=7 +ADD=8 +AFTER=9 +ALL=10 +ALTER=11 +ALWAYS=12 +ANALYZE=13 +AND=14 +ANTI=15 +ANY=16 +ANY_VALUE=17 +ARCHIVE=18 +ARRAY=19 +AS=20 +ASC=21 +AT=22 +AUTHORIZATION=23 +BETWEEN=24 +BOTH=25 +BUCKET=26 +BUCKETS=27 +BY=28 +CACHE=29 +CASCADE=30 +CASE=31 +CAST=32 +CATALOG=33 +CATALOGS=34 +CHANGE=35 +CHECK=36 +CLEAR=37 +CLUSTER=38 +CLUSTERED=39 +CODEGEN=40 +COLLATE=41 +COLLECTION=42 +COLUMN=43 +COLUMNS=44 +COMMENT=45 +COMMIT=46 +COMPACT=47 +COMPACTIONS=48 +COMPUTE=49 +CONCATENATE=50 +CONSTRAINT=51 +COST=52 +CREATE=53 +CROSS=54 +CUBE=55 +CURRENT=56 +CURRENT_DATE=57 +CURRENT_TIME=58 +CURRENT_TIMESTAMP=59 +CURRENT_USER=60 +DAY=61 +DAYS=62 +DAYOFYEAR=63 +DATA=64 +DATABASE=65 +DATABASES=66 +DATEADD=67 +DATEDIFF=68 +DBPROPERTIES=69 +DEFAULT=70 +DEFINED=71 +DELETE=72 +DELIMITED=73 +DESC=74 +DESCRIBE=75 +DFS=76 +DIRECTORIES=77 +DIRECTORY=78 +DISTINCT=79 +DISTRIBUTE=80 +DIV=81 +DROP=82 +ELSE=83 +END=84 +ESCAPE=85 +ESCAPED=86 +EXCEPT=87 +EXCHANGE=88 +EXCLUDE=89 +EXISTS=90 +EXPLAIN=91 +EXPORT=92 +EXTENDED=93 +EXTERNAL=94 +EXTRACT=95 +FALSE=96 +FETCH=97 +FIELDS=98 +FILTER=99 +FILEFORMAT=100 +FIRST=101 +FOLLOWING=102 +FOR=103 +FOREIGN=104 +FORMAT=105 +FORMATTED=106 +FROM=107 +FULL=108 +FUNCTION=109 +FUNCTIONS=110 +GENERATED=111 +GLOBAL=112 +GRANT=113 +GROUP=114 +GROUPING=115 +HAVING=116 +HOUR=117 +HOURS=118 +IF=119 +IGNORE=120 +IMPORT=121 +IN=122 +INCLUDE=123 +INDEX=124 +INDEXES=125 +INNER=126 +INPATH=127 +INPUTFORMAT=128 +INSERT=129 +INTERSECT=130 +INTERVAL=131 +INTO=132 +IS=133 +ITEMS=134 +JOIN=135 +KEYS=136 +LAST=137 +LATERAL=138 +LAZY=139 +LEADING=140 +LEFT=141 +LIKE=142 +ILIKE=143 +LIMIT=144 +LINES=145 +LIST=146 +LOAD=147 +LOCAL=148 +LOCATION=149 +LOCK=150 +LOCKS=151 +LOGICAL=152 +MACRO=153 +MAP=154 +MATCHED=155 +MERGE=156 +MICROSECOND=157 +MICROSECONDS=158 +MILLISECOND=159 +MILLISECONDS=160 +MINUTE=161 +MINUTES=162 +MONTH=163 +MONTHS=164 +MSCK=165 +NAMESPACE=166 +NAMESPACES=167 +NANOSECOND=168 +NANOSECONDS=169 +NATURAL=170 +NO=171 +NOT=172 +NULL=173 +NULLS=174 +OF=175 +OFFSET=176 +ON=177 +ONLY=178 +OPTION=179 +OPTIONS=180 +OR=181 +ORDER=182 +OUT=183 +OUTER=184 +OUTPUTFORMAT=185 +OVER=186 +OVERLAPS=187 +OVERLAY=188 +OVERWRITE=189 +PARTITION=190 +PARTITIONED=191 +PARTITIONS=192 +PERCENTILE_CONT=193 +PERCENTILE_DISC=194 +PERCENTLIT=195 +PIVOT=196 +PLACING=197 +POSITION=198 +PRECEDING=199 +PRIMARY=200 +PRINCIPALS=201 +PROPERTIES=202 +PURGE=203 +QUARTER=204 +QUERY=205 +RANGE=206 +RECORDREADER=207 +RECORDWRITER=208 +RECOVER=209 +REDUCE=210 +REFERENCES=211 +REFRESH=212 +RENAME=213 +REPAIR=214 +REPEATABLE=215 +REPLACE=216 +RESET=217 +RESPECT=218 +RESTRICT=219 +REVOKE=220 +RIGHT=221 +RLIKE=222 +ROLE=223 +ROLES=224 +ROLLBACK=225 +ROLLUP=226 +ROW=227 +ROWS=228 +SECOND=229 +SECONDS=230 +SCHEMA=231 +SCHEMAS=232 +SELECT=233 +SEMI=234 +SEPARATED=235 +SERDE=236 +SERDEPROPERTIES=237 +SESSION_USER=238 +SET=239 +SETMINUS=240 +SETS=241 +SHOW=242 +SKEWED=243 +SOME=244 +SORT=245 +SORTED=246 +SOURCE=247 +START=248 +STATISTICS=249 +STORED=250 +STRATIFY=251 +STRUCT=252 +SUBSTR=253 +SUBSTRING=254 +SYNC=255 +SYSTEM_TIME=256 +SYSTEM_VERSION=257 +TABLE=258 +TABLES=259 +TABLESAMPLE=260 +TARGET=261 +TBLPROPERTIES=262 +TEMPORARY=263 +TERMINATED=264 +THEN=265 +TIME=266 +TIMESTAMP=267 +TIMESTAMPADD=268 +TIMESTAMPDIFF=269 +TO=270 +TOUCH=271 +TRAILING=272 +TRANSACTION=273 +TRANSACTIONS=274 +TRANSFORM=275 +TRIM=276 +TRUE=277 +TRUNCATE=278 +TRY_CAST=279 +TYPE=280 +UNARCHIVE=281 +UNBOUNDED=282 +UNCACHE=283 +UNION=284 +UNIQUE=285 +UNKNOWN=286 +UNLOCK=287 +UNPIVOT=288 +UNSET=289 +UPDATE=290 +USE=291 +USER=292 +USING=293 +VALUES=294 +VERSION=295 +VIEW=296 +VIEWS=297 +WEEK=298 +WEEKS=299 +WHEN=300 +WHERE=301 +WINDOW=302 +WITH=303 +WITHIN=304 +YEAR=305 +YEARS=306 +ZONE=307 +EQ=308 +NSEQ=309 +NEQ=310 +NEQJ=311 +LT=312 +LTE=313 +GT=314 +GTE=315 +PLUS=316 +MINUS=317 +ASTERISK=318 +SLASH=319 +PERCENT=320 +TILDE=321 +AMPERSAND=322 +PIPE=323 +CONCAT_PIPE=324 +HAT=325 +COLON=326 +ARROW=327 +HENT_START=328 +HENT_END=329 +STRING=330 +DOUBLEQUOTED_STRING=331 +BIGINT_LITERAL=332 +SMALLINT_LITERAL=333 +TINYINT_LITERAL=334 +INTEGER_VALUE=335 +EXPONENT_VALUE=336 +DECIMAL_VALUE=337 +FLOAT_LITERAL=338 +DOUBLE_LITERAL=339 +BIGDECIMAL_LITERAL=340 +IDENTIFIER=341 +BACKQUOTED_IDENTIFIER=342 +SIMPLE_COMMENT=343 +BRACKETED_COMMENT=344 +WS=345 +UNRECOGNIZED=346 +';'=1 +'('=2 +')'=3 +','=4 +'.'=5 +'['=6 +']'=7 +'ADD'=8 +'AFTER'=9 +'ALL'=10 +'ALTER'=11 +'ALWAYS'=12 +'ANALYZE'=13 +'AND'=14 +'ANTI'=15 +'ANY'=16 +'ANY_VALUE'=17 +'ARCHIVE'=18 +'ARRAY'=19 +'AS'=20 +'ASC'=21 +'AT'=22 +'AUTHORIZATION'=23 +'BETWEEN'=24 +'BOTH'=25 +'BUCKET'=26 +'BUCKETS'=27 +'BY'=28 +'CACHE'=29 +'CASCADE'=30 +'CASE'=31 +'CAST'=32 +'CATALOG'=33 +'CATALOGS'=34 +'CHANGE'=35 +'CHECK'=36 +'CLEAR'=37 +'CLUSTER'=38 +'CLUSTERED'=39 +'CODEGEN'=40 +'COLLATE'=41 +'COLLECTION'=42 +'COLUMN'=43 +'COLUMNS'=44 +'COMMENT'=45 +'COMMIT'=46 +'COMPACT'=47 +'COMPACTIONS'=48 +'COMPUTE'=49 +'CONCATENATE'=50 +'CONSTRAINT'=51 +'COST'=52 +'CREATE'=53 +'CROSS'=54 +'CUBE'=55 +'CURRENT'=56 +'CURRENT_DATE'=57 +'CURRENT_TIME'=58 +'CURRENT_TIMESTAMP'=59 +'CURRENT_USER'=60 +'DAY'=61 +'DAYS'=62 +'DAYOFYEAR'=63 +'DATA'=64 +'DATABASE'=65 +'DATABASES'=66 +'DATEADD'=67 +'DATEDIFF'=68 +'DBPROPERTIES'=69 +'DEFAULT'=70 +'DEFINED'=71 +'DELETE'=72 +'DELIMITED'=73 +'DESC'=74 +'DESCRIBE'=75 +'DFS'=76 +'DIRECTORIES'=77 +'DIRECTORY'=78 +'DISTINCT'=79 +'DISTRIBUTE'=80 +'DIV'=81 +'DROP'=82 +'ELSE'=83 +'END'=84 +'ESCAPE'=85 +'ESCAPED'=86 +'EXCEPT'=87 +'EXCHANGE'=88 +'EXCLUDE'=89 +'EXISTS'=90 +'EXPLAIN'=91 +'EXPORT'=92 +'EXTENDED'=93 +'EXTERNAL'=94 +'EXTRACT'=95 +'FALSE'=96 +'FETCH'=97 +'FIELDS'=98 +'FILTER'=99 +'FILEFORMAT'=100 +'FIRST'=101 +'FOLLOWING'=102 +'FOR'=103 +'FOREIGN'=104 +'FORMAT'=105 +'FORMATTED'=106 +'FROM'=107 +'FULL'=108 +'FUNCTION'=109 +'FUNCTIONS'=110 +'GENERATED'=111 +'GLOBAL'=112 +'GRANT'=113 +'GROUP'=114 +'GROUPING'=115 +'HAVING'=116 +'HOUR'=117 +'HOURS'=118 +'IF'=119 +'IGNORE'=120 +'IMPORT'=121 +'IN'=122 +'INCLUDE'=123 +'INDEX'=124 +'INDEXES'=125 +'INNER'=126 +'INPATH'=127 +'INPUTFORMAT'=128 +'INSERT'=129 +'INTERSECT'=130 +'INTERVAL'=131 +'INTO'=132 +'IS'=133 +'ITEMS'=134 +'JOIN'=135 +'KEYS'=136 +'LAST'=137 +'LATERAL'=138 +'LAZY'=139 +'LEADING'=140 +'LEFT'=141 +'LIKE'=142 +'ILIKE'=143 +'LIMIT'=144 +'LINES'=145 +'LIST'=146 +'LOAD'=147 +'LOCAL'=148 +'LOCATION'=149 +'LOCK'=150 +'LOCKS'=151 +'LOGICAL'=152 +'MACRO'=153 +'MAP'=154 +'MATCHED'=155 +'MERGE'=156 +'MICROSECOND'=157 +'MICROSECONDS'=158 +'MILLISECOND'=159 +'MILLISECONDS'=160 +'MINUTE'=161 +'MINUTES'=162 +'MONTH'=163 +'MONTHS'=164 +'MSCK'=165 +'NAMESPACE'=166 +'NAMESPACES'=167 +'NANOSECOND'=168 +'NANOSECONDS'=169 +'NATURAL'=170 +'NO'=171 +'NULL'=173 +'NULLS'=174 +'OF'=175 +'OFFSET'=176 +'ON'=177 +'ONLY'=178 +'OPTION'=179 +'OPTIONS'=180 +'OR'=181 +'ORDER'=182 +'OUT'=183 +'OUTER'=184 +'OUTPUTFORMAT'=185 +'OVER'=186 +'OVERLAPS'=187 +'OVERLAY'=188 +'OVERWRITE'=189 +'PARTITION'=190 +'PARTITIONED'=191 +'PARTITIONS'=192 +'PERCENTILE_CONT'=193 +'PERCENTILE_DISC'=194 +'PERCENT'=195 +'PIVOT'=196 +'PLACING'=197 +'POSITION'=198 +'PRECEDING'=199 +'PRIMARY'=200 +'PRINCIPALS'=201 +'PROPERTIES'=202 +'PURGE'=203 +'QUARTER'=204 +'QUERY'=205 +'RANGE'=206 +'RECORDREADER'=207 +'RECORDWRITER'=208 +'RECOVER'=209 +'REDUCE'=210 +'REFERENCES'=211 +'REFRESH'=212 +'RENAME'=213 +'REPAIR'=214 +'REPEATABLE'=215 +'REPLACE'=216 +'RESET'=217 +'RESPECT'=218 +'RESTRICT'=219 +'REVOKE'=220 +'RIGHT'=221 +'ROLE'=223 +'ROLES'=224 +'ROLLBACK'=225 +'ROLLUP'=226 +'ROW'=227 +'ROWS'=228 +'SECOND'=229 +'SECONDS'=230 +'SCHEMA'=231 +'SCHEMAS'=232 +'SELECT'=233 +'SEMI'=234 +'SEPARATED'=235 +'SERDE'=236 +'SERDEPROPERTIES'=237 +'SESSION_USER'=238 +'SET'=239 +'MINUS'=240 +'SETS'=241 +'SHOW'=242 +'SKEWED'=243 +'SOME'=244 +'SORT'=245 +'SORTED'=246 +'SOURCE'=247 +'START'=248 +'STATISTICS'=249 +'STORED'=250 +'STRATIFY'=251 +'STRUCT'=252 +'SUBSTR'=253 +'SUBSTRING'=254 +'SYNC'=255 +'SYSTEM_TIME'=256 +'SYSTEM_VERSION'=257 +'TABLE'=258 +'TABLES'=259 +'TABLESAMPLE'=260 +'TARGET'=261 +'TBLPROPERTIES'=262 +'TERMINATED'=264 +'THEN'=265 +'TIME'=266 +'TIMESTAMP'=267 +'TIMESTAMPADD'=268 +'TIMESTAMPDIFF'=269 +'TO'=270 +'TOUCH'=271 +'TRAILING'=272 +'TRANSACTION'=273 +'TRANSACTIONS'=274 +'TRANSFORM'=275 +'TRIM'=276 +'TRUE'=277 +'TRUNCATE'=278 +'TRY_CAST'=279 +'TYPE'=280 +'UNARCHIVE'=281 +'UNBOUNDED'=282 +'UNCACHE'=283 +'UNION'=284 +'UNIQUE'=285 +'UNKNOWN'=286 +'UNLOCK'=287 +'UNPIVOT'=288 +'UNSET'=289 +'UPDATE'=290 +'USE'=291 +'USER'=292 +'USING'=293 +'VALUES'=294 +'VERSION'=295 +'VIEW'=296 +'VIEWS'=297 +'WEEK'=298 +'WEEKS'=299 +'WHEN'=300 +'WHERE'=301 +'WINDOW'=302 +'WITH'=303 +'WITHIN'=304 +'YEAR'=305 +'YEARS'=306 +'ZONE'=307 +'<=>'=309 +'<>'=310 +'!='=311 +'<'=312 +'>'=314 +'+'=316 +'-'=317 +'*'=318 +'/'=319 +'%'=320 +'~'=321 +'&'=322 +'|'=323 +'||'=324 +'^'=325 +':'=326 +'->'=327 +'/*+'=328 +'*/'=329 diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParserListener.py b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParserListener.py new file mode 100644 index 000000000..6a387e83a --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParserListener.py @@ -0,0 +1,2919 @@ +# Generated from SqlBaseParser.g4 by ANTLR 4.13.1 +from antlr4 import * +if "." in __name__: + from .SqlBaseParser import SqlBaseParser +else: + from SqlBaseParser import SqlBaseParser + +# This class defines a complete listener for a parse tree produced by SqlBaseParser. +class SqlBaseParserListener(ParseTreeListener): + + # Enter a parse tree produced by SqlBaseParser#singleStatement. + def enterSingleStatement(self, ctx:SqlBaseParser.SingleStatementContext): + pass + + # Exit a parse tree produced by SqlBaseParser#singleStatement. + def exitSingleStatement(self, ctx:SqlBaseParser.SingleStatementContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#singleExpression. + def enterSingleExpression(self, ctx:SqlBaseParser.SingleExpressionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#singleExpression. + def exitSingleExpression(self, ctx:SqlBaseParser.SingleExpressionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#singleTableIdentifier. + def enterSingleTableIdentifier(self, ctx:SqlBaseParser.SingleTableIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#singleTableIdentifier. + def exitSingleTableIdentifier(self, ctx:SqlBaseParser.SingleTableIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#singleMultipartIdentifier. + def enterSingleMultipartIdentifier(self, ctx:SqlBaseParser.SingleMultipartIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#singleMultipartIdentifier. + def exitSingleMultipartIdentifier(self, ctx:SqlBaseParser.SingleMultipartIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#singleFunctionIdentifier. + def enterSingleFunctionIdentifier(self, ctx:SqlBaseParser.SingleFunctionIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#singleFunctionIdentifier. + def exitSingleFunctionIdentifier(self, ctx:SqlBaseParser.SingleFunctionIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#singleDataType. + def enterSingleDataType(self, ctx:SqlBaseParser.SingleDataTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#singleDataType. + def exitSingleDataType(self, ctx:SqlBaseParser.SingleDataTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#singleTableSchema. + def enterSingleTableSchema(self, ctx:SqlBaseParser.SingleTableSchemaContext): + pass + + # Exit a parse tree produced by SqlBaseParser#singleTableSchema. + def exitSingleTableSchema(self, ctx:SqlBaseParser.SingleTableSchemaContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#statementDefault. + def enterStatementDefault(self, ctx:SqlBaseParser.StatementDefaultContext): + pass + + # Exit a parse tree produced by SqlBaseParser#statementDefault. + def exitStatementDefault(self, ctx:SqlBaseParser.StatementDefaultContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dmlStatement. + def enterDmlStatement(self, ctx:SqlBaseParser.DmlStatementContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dmlStatement. + def exitDmlStatement(self, ctx:SqlBaseParser.DmlStatementContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#use. + def enterUse(self, ctx:SqlBaseParser.UseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#use. + def exitUse(self, ctx:SqlBaseParser.UseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#useNamespace. + def enterUseNamespace(self, ctx:SqlBaseParser.UseNamespaceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#useNamespace. + def exitUseNamespace(self, ctx:SqlBaseParser.UseNamespaceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setCatalog. + def enterSetCatalog(self, ctx:SqlBaseParser.SetCatalogContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setCatalog. + def exitSetCatalog(self, ctx:SqlBaseParser.SetCatalogContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createNamespace. + def enterCreateNamespace(self, ctx:SqlBaseParser.CreateNamespaceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createNamespace. + def exitCreateNamespace(self, ctx:SqlBaseParser.CreateNamespaceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setNamespaceProperties. + def enterSetNamespaceProperties(self, ctx:SqlBaseParser.SetNamespacePropertiesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setNamespaceProperties. + def exitSetNamespaceProperties(self, ctx:SqlBaseParser.SetNamespacePropertiesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setNamespaceLocation. + def enterSetNamespaceLocation(self, ctx:SqlBaseParser.SetNamespaceLocationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setNamespaceLocation. + def exitSetNamespaceLocation(self, ctx:SqlBaseParser.SetNamespaceLocationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dropNamespace. + def enterDropNamespace(self, ctx:SqlBaseParser.DropNamespaceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dropNamespace. + def exitDropNamespace(self, ctx:SqlBaseParser.DropNamespaceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showNamespaces. + def enterShowNamespaces(self, ctx:SqlBaseParser.ShowNamespacesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showNamespaces. + def exitShowNamespaces(self, ctx:SqlBaseParser.ShowNamespacesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createTable. + def enterCreateTable(self, ctx:SqlBaseParser.CreateTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createTable. + def exitCreateTable(self, ctx:SqlBaseParser.CreateTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createTableLike. + def enterCreateTableLike(self, ctx:SqlBaseParser.CreateTableLikeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createTableLike. + def exitCreateTableLike(self, ctx:SqlBaseParser.CreateTableLikeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#replaceTable. + def enterReplaceTable(self, ctx:SqlBaseParser.ReplaceTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#replaceTable. + def exitReplaceTable(self, ctx:SqlBaseParser.ReplaceTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#analyze. + def enterAnalyze(self, ctx:SqlBaseParser.AnalyzeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#analyze. + def exitAnalyze(self, ctx:SqlBaseParser.AnalyzeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#analyzeTables. + def enterAnalyzeTables(self, ctx:SqlBaseParser.AnalyzeTablesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#analyzeTables. + def exitAnalyzeTables(self, ctx:SqlBaseParser.AnalyzeTablesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#addTableColumns. + def enterAddTableColumns(self, ctx:SqlBaseParser.AddTableColumnsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#addTableColumns. + def exitAddTableColumns(self, ctx:SqlBaseParser.AddTableColumnsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#renameTableColumn. + def enterRenameTableColumn(self, ctx:SqlBaseParser.RenameTableColumnContext): + pass + + # Exit a parse tree produced by SqlBaseParser#renameTableColumn. + def exitRenameTableColumn(self, ctx:SqlBaseParser.RenameTableColumnContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dropTableColumns. + def enterDropTableColumns(self, ctx:SqlBaseParser.DropTableColumnsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dropTableColumns. + def exitDropTableColumns(self, ctx:SqlBaseParser.DropTableColumnsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#renameTable. + def enterRenameTable(self, ctx:SqlBaseParser.RenameTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#renameTable. + def exitRenameTable(self, ctx:SqlBaseParser.RenameTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setTableProperties. + def enterSetTableProperties(self, ctx:SqlBaseParser.SetTablePropertiesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setTableProperties. + def exitSetTableProperties(self, ctx:SqlBaseParser.SetTablePropertiesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unsetTableProperties. + def enterUnsetTableProperties(self, ctx:SqlBaseParser.UnsetTablePropertiesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unsetTableProperties. + def exitUnsetTableProperties(self, ctx:SqlBaseParser.UnsetTablePropertiesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#alterTableAlterColumn. + def enterAlterTableAlterColumn(self, ctx:SqlBaseParser.AlterTableAlterColumnContext): + pass + + # Exit a parse tree produced by SqlBaseParser#alterTableAlterColumn. + def exitAlterTableAlterColumn(self, ctx:SqlBaseParser.AlterTableAlterColumnContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#hiveChangeColumn. + def enterHiveChangeColumn(self, ctx:SqlBaseParser.HiveChangeColumnContext): + pass + + # Exit a parse tree produced by SqlBaseParser#hiveChangeColumn. + def exitHiveChangeColumn(self, ctx:SqlBaseParser.HiveChangeColumnContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#hiveReplaceColumns. + def enterHiveReplaceColumns(self, ctx:SqlBaseParser.HiveReplaceColumnsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#hiveReplaceColumns. + def exitHiveReplaceColumns(self, ctx:SqlBaseParser.HiveReplaceColumnsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setTableSerDe. + def enterSetTableSerDe(self, ctx:SqlBaseParser.SetTableSerDeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setTableSerDe. + def exitSetTableSerDe(self, ctx:SqlBaseParser.SetTableSerDeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#addTablePartition. + def enterAddTablePartition(self, ctx:SqlBaseParser.AddTablePartitionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#addTablePartition. + def exitAddTablePartition(self, ctx:SqlBaseParser.AddTablePartitionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#renameTablePartition. + def enterRenameTablePartition(self, ctx:SqlBaseParser.RenameTablePartitionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#renameTablePartition. + def exitRenameTablePartition(self, ctx:SqlBaseParser.RenameTablePartitionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dropTablePartitions. + def enterDropTablePartitions(self, ctx:SqlBaseParser.DropTablePartitionsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dropTablePartitions. + def exitDropTablePartitions(self, ctx:SqlBaseParser.DropTablePartitionsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setTableLocation. + def enterSetTableLocation(self, ctx:SqlBaseParser.SetTableLocationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setTableLocation. + def exitSetTableLocation(self, ctx:SqlBaseParser.SetTableLocationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#recoverPartitions. + def enterRecoverPartitions(self, ctx:SqlBaseParser.RecoverPartitionsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#recoverPartitions. + def exitRecoverPartitions(self, ctx:SqlBaseParser.RecoverPartitionsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dropTable. + def enterDropTable(self, ctx:SqlBaseParser.DropTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dropTable. + def exitDropTable(self, ctx:SqlBaseParser.DropTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dropView. + def enterDropView(self, ctx:SqlBaseParser.DropViewContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dropView. + def exitDropView(self, ctx:SqlBaseParser.DropViewContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createView. + def enterCreateView(self, ctx:SqlBaseParser.CreateViewContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createView. + def exitCreateView(self, ctx:SqlBaseParser.CreateViewContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createTempViewUsing. + def enterCreateTempViewUsing(self, ctx:SqlBaseParser.CreateTempViewUsingContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createTempViewUsing. + def exitCreateTempViewUsing(self, ctx:SqlBaseParser.CreateTempViewUsingContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#alterViewQuery. + def enterAlterViewQuery(self, ctx:SqlBaseParser.AlterViewQueryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#alterViewQuery. + def exitAlterViewQuery(self, ctx:SqlBaseParser.AlterViewQueryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createFunction. + def enterCreateFunction(self, ctx:SqlBaseParser.CreateFunctionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createFunction. + def exitCreateFunction(self, ctx:SqlBaseParser.CreateFunctionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dropFunction. + def enterDropFunction(self, ctx:SqlBaseParser.DropFunctionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dropFunction. + def exitDropFunction(self, ctx:SqlBaseParser.DropFunctionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#explain. + def enterExplain(self, ctx:SqlBaseParser.ExplainContext): + pass + + # Exit a parse tree produced by SqlBaseParser#explain. + def exitExplain(self, ctx:SqlBaseParser.ExplainContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showTables. + def enterShowTables(self, ctx:SqlBaseParser.ShowTablesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showTables. + def exitShowTables(self, ctx:SqlBaseParser.ShowTablesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showTableExtended. + def enterShowTableExtended(self, ctx:SqlBaseParser.ShowTableExtendedContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showTableExtended. + def exitShowTableExtended(self, ctx:SqlBaseParser.ShowTableExtendedContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showTblProperties. + def enterShowTblProperties(self, ctx:SqlBaseParser.ShowTblPropertiesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showTblProperties. + def exitShowTblProperties(self, ctx:SqlBaseParser.ShowTblPropertiesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showColumns. + def enterShowColumns(self, ctx:SqlBaseParser.ShowColumnsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showColumns. + def exitShowColumns(self, ctx:SqlBaseParser.ShowColumnsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showViews. + def enterShowViews(self, ctx:SqlBaseParser.ShowViewsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showViews. + def exitShowViews(self, ctx:SqlBaseParser.ShowViewsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showPartitions. + def enterShowPartitions(self, ctx:SqlBaseParser.ShowPartitionsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showPartitions. + def exitShowPartitions(self, ctx:SqlBaseParser.ShowPartitionsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showFunctions. + def enterShowFunctions(self, ctx:SqlBaseParser.ShowFunctionsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showFunctions. + def exitShowFunctions(self, ctx:SqlBaseParser.ShowFunctionsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showCreateTable. + def enterShowCreateTable(self, ctx:SqlBaseParser.ShowCreateTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showCreateTable. + def exitShowCreateTable(self, ctx:SqlBaseParser.ShowCreateTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showCurrentNamespace. + def enterShowCurrentNamespace(self, ctx:SqlBaseParser.ShowCurrentNamespaceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showCurrentNamespace. + def exitShowCurrentNamespace(self, ctx:SqlBaseParser.ShowCurrentNamespaceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#showCatalogs. + def enterShowCatalogs(self, ctx:SqlBaseParser.ShowCatalogsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#showCatalogs. + def exitShowCatalogs(self, ctx:SqlBaseParser.ShowCatalogsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#describeFunction. + def enterDescribeFunction(self, ctx:SqlBaseParser.DescribeFunctionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#describeFunction. + def exitDescribeFunction(self, ctx:SqlBaseParser.DescribeFunctionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#describeNamespace. + def enterDescribeNamespace(self, ctx:SqlBaseParser.DescribeNamespaceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#describeNamespace. + def exitDescribeNamespace(self, ctx:SqlBaseParser.DescribeNamespaceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#describeRelation. + def enterDescribeRelation(self, ctx:SqlBaseParser.DescribeRelationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#describeRelation. + def exitDescribeRelation(self, ctx:SqlBaseParser.DescribeRelationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#describeQuery. + def enterDescribeQuery(self, ctx:SqlBaseParser.DescribeQueryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#describeQuery. + def exitDescribeQuery(self, ctx:SqlBaseParser.DescribeQueryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#commentNamespace. + def enterCommentNamespace(self, ctx:SqlBaseParser.CommentNamespaceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#commentNamespace. + def exitCommentNamespace(self, ctx:SqlBaseParser.CommentNamespaceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#commentTable. + def enterCommentTable(self, ctx:SqlBaseParser.CommentTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#commentTable. + def exitCommentTable(self, ctx:SqlBaseParser.CommentTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#refreshTable. + def enterRefreshTable(self, ctx:SqlBaseParser.RefreshTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#refreshTable. + def exitRefreshTable(self, ctx:SqlBaseParser.RefreshTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#refreshFunction. + def enterRefreshFunction(self, ctx:SqlBaseParser.RefreshFunctionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#refreshFunction. + def exitRefreshFunction(self, ctx:SqlBaseParser.RefreshFunctionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#refreshResource. + def enterRefreshResource(self, ctx:SqlBaseParser.RefreshResourceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#refreshResource. + def exitRefreshResource(self, ctx:SqlBaseParser.RefreshResourceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#cacheTable. + def enterCacheTable(self, ctx:SqlBaseParser.CacheTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#cacheTable. + def exitCacheTable(self, ctx:SqlBaseParser.CacheTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#uncacheTable. + def enterUncacheTable(self, ctx:SqlBaseParser.UncacheTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#uncacheTable. + def exitUncacheTable(self, ctx:SqlBaseParser.UncacheTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#clearCache. + def enterClearCache(self, ctx:SqlBaseParser.ClearCacheContext): + pass + + # Exit a parse tree produced by SqlBaseParser#clearCache. + def exitClearCache(self, ctx:SqlBaseParser.ClearCacheContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#loadData. + def enterLoadData(self, ctx:SqlBaseParser.LoadDataContext): + pass + + # Exit a parse tree produced by SqlBaseParser#loadData. + def exitLoadData(self, ctx:SqlBaseParser.LoadDataContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#truncateTable. + def enterTruncateTable(self, ctx:SqlBaseParser.TruncateTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#truncateTable. + def exitTruncateTable(self, ctx:SqlBaseParser.TruncateTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#repairTable. + def enterRepairTable(self, ctx:SqlBaseParser.RepairTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#repairTable. + def exitRepairTable(self, ctx:SqlBaseParser.RepairTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#manageResource. + def enterManageResource(self, ctx:SqlBaseParser.ManageResourceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#manageResource. + def exitManageResource(self, ctx:SqlBaseParser.ManageResourceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#failNativeCommand. + def enterFailNativeCommand(self, ctx:SqlBaseParser.FailNativeCommandContext): + pass + + # Exit a parse tree produced by SqlBaseParser#failNativeCommand. + def exitFailNativeCommand(self, ctx:SqlBaseParser.FailNativeCommandContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setTimeZone. + def enterSetTimeZone(self, ctx:SqlBaseParser.SetTimeZoneContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setTimeZone. + def exitSetTimeZone(self, ctx:SqlBaseParser.SetTimeZoneContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setQuotedConfiguration. + def enterSetQuotedConfiguration(self, ctx:SqlBaseParser.SetQuotedConfigurationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setQuotedConfiguration. + def exitSetQuotedConfiguration(self, ctx:SqlBaseParser.SetQuotedConfigurationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setConfiguration. + def enterSetConfiguration(self, ctx:SqlBaseParser.SetConfigurationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setConfiguration. + def exitSetConfiguration(self, ctx:SqlBaseParser.SetConfigurationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#resetQuotedConfiguration. + def enterResetQuotedConfiguration(self, ctx:SqlBaseParser.ResetQuotedConfigurationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#resetQuotedConfiguration. + def exitResetQuotedConfiguration(self, ctx:SqlBaseParser.ResetQuotedConfigurationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#resetConfiguration. + def enterResetConfiguration(self, ctx:SqlBaseParser.ResetConfigurationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#resetConfiguration. + def exitResetConfiguration(self, ctx:SqlBaseParser.ResetConfigurationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createIndex. + def enterCreateIndex(self, ctx:SqlBaseParser.CreateIndexContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createIndex. + def exitCreateIndex(self, ctx:SqlBaseParser.CreateIndexContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dropIndex. + def enterDropIndex(self, ctx:SqlBaseParser.DropIndexContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dropIndex. + def exitDropIndex(self, ctx:SqlBaseParser.DropIndexContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#timezone. + def enterTimezone(self, ctx:SqlBaseParser.TimezoneContext): + pass + + # Exit a parse tree produced by SqlBaseParser#timezone. + def exitTimezone(self, ctx:SqlBaseParser.TimezoneContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#configKey. + def enterConfigKey(self, ctx:SqlBaseParser.ConfigKeyContext): + pass + + # Exit a parse tree produced by SqlBaseParser#configKey. + def exitConfigKey(self, ctx:SqlBaseParser.ConfigKeyContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#configValue. + def enterConfigValue(self, ctx:SqlBaseParser.ConfigValueContext): + pass + + # Exit a parse tree produced by SqlBaseParser#configValue. + def exitConfigValue(self, ctx:SqlBaseParser.ConfigValueContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unsupportedHiveNativeCommands. + def enterUnsupportedHiveNativeCommands(self, ctx:SqlBaseParser.UnsupportedHiveNativeCommandsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unsupportedHiveNativeCommands. + def exitUnsupportedHiveNativeCommands(self, ctx:SqlBaseParser.UnsupportedHiveNativeCommandsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createTableHeader. + def enterCreateTableHeader(self, ctx:SqlBaseParser.CreateTableHeaderContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createTableHeader. + def exitCreateTableHeader(self, ctx:SqlBaseParser.CreateTableHeaderContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#replaceTableHeader. + def enterReplaceTableHeader(self, ctx:SqlBaseParser.ReplaceTableHeaderContext): + pass + + # Exit a parse tree produced by SqlBaseParser#replaceTableHeader. + def exitReplaceTableHeader(self, ctx:SqlBaseParser.ReplaceTableHeaderContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#bucketSpec. + def enterBucketSpec(self, ctx:SqlBaseParser.BucketSpecContext): + pass + + # Exit a parse tree produced by SqlBaseParser#bucketSpec. + def exitBucketSpec(self, ctx:SqlBaseParser.BucketSpecContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#skewSpec. + def enterSkewSpec(self, ctx:SqlBaseParser.SkewSpecContext): + pass + + # Exit a parse tree produced by SqlBaseParser#skewSpec. + def exitSkewSpec(self, ctx:SqlBaseParser.SkewSpecContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#locationSpec. + def enterLocationSpec(self, ctx:SqlBaseParser.LocationSpecContext): + pass + + # Exit a parse tree produced by SqlBaseParser#locationSpec. + def exitLocationSpec(self, ctx:SqlBaseParser.LocationSpecContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#commentSpec. + def enterCommentSpec(self, ctx:SqlBaseParser.CommentSpecContext): + pass + + # Exit a parse tree produced by SqlBaseParser#commentSpec. + def exitCommentSpec(self, ctx:SqlBaseParser.CommentSpecContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#insertOverwriteTable. + def enterInsertOverwriteTable(self, ctx:SqlBaseParser.InsertOverwriteTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#insertOverwriteTable. + def exitInsertOverwriteTable(self, ctx:SqlBaseParser.InsertOverwriteTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#insertIntoTable. + def enterInsertIntoTable(self, ctx:SqlBaseParser.InsertIntoTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#insertIntoTable. + def exitInsertIntoTable(self, ctx:SqlBaseParser.InsertIntoTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#insertIntoReplaceWhere. + def enterInsertIntoReplaceWhere(self, ctx:SqlBaseParser.InsertIntoReplaceWhereContext): + pass + + # Exit a parse tree produced by SqlBaseParser#insertIntoReplaceWhere. + def exitInsertIntoReplaceWhere(self, ctx:SqlBaseParser.InsertIntoReplaceWhereContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#insertOverwriteHiveDir. + def enterInsertOverwriteHiveDir(self, ctx:SqlBaseParser.InsertOverwriteHiveDirContext): + pass + + # Exit a parse tree produced by SqlBaseParser#insertOverwriteHiveDir. + def exitInsertOverwriteHiveDir(self, ctx:SqlBaseParser.InsertOverwriteHiveDirContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#insertOverwriteDir. + def enterInsertOverwriteDir(self, ctx:SqlBaseParser.InsertOverwriteDirContext): + pass + + # Exit a parse tree produced by SqlBaseParser#insertOverwriteDir. + def exitInsertOverwriteDir(self, ctx:SqlBaseParser.InsertOverwriteDirContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#partitionSpecLocation. + def enterPartitionSpecLocation(self, ctx:SqlBaseParser.PartitionSpecLocationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#partitionSpecLocation. + def exitPartitionSpecLocation(self, ctx:SqlBaseParser.PartitionSpecLocationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#partitionSpec. + def enterPartitionSpec(self, ctx:SqlBaseParser.PartitionSpecContext): + pass + + # Exit a parse tree produced by SqlBaseParser#partitionSpec. + def exitPartitionSpec(self, ctx:SqlBaseParser.PartitionSpecContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#partitionVal. + def enterPartitionVal(self, ctx:SqlBaseParser.PartitionValContext): + pass + + # Exit a parse tree produced by SqlBaseParser#partitionVal. + def exitPartitionVal(self, ctx:SqlBaseParser.PartitionValContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#namespace. + def enterNamespace(self, ctx:SqlBaseParser.NamespaceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#namespace. + def exitNamespace(self, ctx:SqlBaseParser.NamespaceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#namespaces. + def enterNamespaces(self, ctx:SqlBaseParser.NamespacesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#namespaces. + def exitNamespaces(self, ctx:SqlBaseParser.NamespacesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#describeFuncName. + def enterDescribeFuncName(self, ctx:SqlBaseParser.DescribeFuncNameContext): + pass + + # Exit a parse tree produced by SqlBaseParser#describeFuncName. + def exitDescribeFuncName(self, ctx:SqlBaseParser.DescribeFuncNameContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#describeColName. + def enterDescribeColName(self, ctx:SqlBaseParser.DescribeColNameContext): + pass + + # Exit a parse tree produced by SqlBaseParser#describeColName. + def exitDescribeColName(self, ctx:SqlBaseParser.DescribeColNameContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#ctes. + def enterCtes(self, ctx:SqlBaseParser.CtesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#ctes. + def exitCtes(self, ctx:SqlBaseParser.CtesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#query. + def enterQuery(self, ctx:SqlBaseParser.QueryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#query. + def exitQuery(self, ctx:SqlBaseParser.QueryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#namedQuery. + def enterNamedQuery(self, ctx:SqlBaseParser.NamedQueryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#namedQuery. + def exitNamedQuery(self, ctx:SqlBaseParser.NamedQueryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#queryTermDefault. + def enterQueryTermDefault(self, ctx:SqlBaseParser.QueryTermDefaultContext): + pass + + # Exit a parse tree produced by SqlBaseParser#queryTermDefault. + def exitQueryTermDefault(self, ctx:SqlBaseParser.QueryTermDefaultContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setOperation. + def enterSetOperation(self, ctx:SqlBaseParser.SetOperationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setOperation. + def exitSetOperation(self, ctx:SqlBaseParser.SetOperationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#transformQuerySpecification. + def enterTransformQuerySpecification(self, ctx:SqlBaseParser.TransformQuerySpecificationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#transformQuerySpecification. + def exitTransformQuerySpecification(self, ctx:SqlBaseParser.TransformQuerySpecificationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#regularQuerySpecification. + def enterRegularQuerySpecification(self, ctx:SqlBaseParser.RegularQuerySpecificationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#regularQuerySpecification. + def exitRegularQuerySpecification(self, ctx:SqlBaseParser.RegularQuerySpecificationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#queryPrimaryDefault. + def enterQueryPrimaryDefault(self, ctx:SqlBaseParser.QueryPrimaryDefaultContext): + pass + + # Exit a parse tree produced by SqlBaseParser#queryPrimaryDefault. + def exitQueryPrimaryDefault(self, ctx:SqlBaseParser.QueryPrimaryDefaultContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#fromStmt. + def enterFromStmt(self, ctx:SqlBaseParser.FromStmtContext): + pass + + # Exit a parse tree produced by SqlBaseParser#fromStmt. + def exitFromStmt(self, ctx:SqlBaseParser.FromStmtContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#table. + def enterTable(self, ctx:SqlBaseParser.TableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#table. + def exitTable(self, ctx:SqlBaseParser.TableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#inlineTableDefault1. + def enterInlineTableDefault1(self, ctx:SqlBaseParser.InlineTableDefault1Context): + pass + + # Exit a parse tree produced by SqlBaseParser#inlineTableDefault1. + def exitInlineTableDefault1(self, ctx:SqlBaseParser.InlineTableDefault1Context): + pass + + + # Enter a parse tree produced by SqlBaseParser#subquery. + def enterSubquery(self, ctx:SqlBaseParser.SubqueryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#subquery. + def exitSubquery(self, ctx:SqlBaseParser.SubqueryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#tableProvider. + def enterTableProvider(self, ctx:SqlBaseParser.TableProviderContext): + pass + + # Exit a parse tree produced by SqlBaseParser#tableProvider. + def exitTableProvider(self, ctx:SqlBaseParser.TableProviderContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createTableClauses. + def enterCreateTableClauses(self, ctx:SqlBaseParser.CreateTableClausesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createTableClauses. + def exitCreateTableClauses(self, ctx:SqlBaseParser.CreateTableClausesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#propertyList. + def enterPropertyList(self, ctx:SqlBaseParser.PropertyListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#propertyList. + def exitPropertyList(self, ctx:SqlBaseParser.PropertyListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#property. + def enterProperty(self, ctx:SqlBaseParser.PropertyContext): + pass + + # Exit a parse tree produced by SqlBaseParser#property. + def exitProperty(self, ctx:SqlBaseParser.PropertyContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#propertyKey. + def enterPropertyKey(self, ctx:SqlBaseParser.PropertyKeyContext): + pass + + # Exit a parse tree produced by SqlBaseParser#propertyKey. + def exitPropertyKey(self, ctx:SqlBaseParser.PropertyKeyContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#propertyValue. + def enterPropertyValue(self, ctx:SqlBaseParser.PropertyValueContext): + pass + + # Exit a parse tree produced by SqlBaseParser#propertyValue. + def exitPropertyValue(self, ctx:SqlBaseParser.PropertyValueContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#constantList. + def enterConstantList(self, ctx:SqlBaseParser.ConstantListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#constantList. + def exitConstantList(self, ctx:SqlBaseParser.ConstantListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#nestedConstantList. + def enterNestedConstantList(self, ctx:SqlBaseParser.NestedConstantListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#nestedConstantList. + def exitNestedConstantList(self, ctx:SqlBaseParser.NestedConstantListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createFileFormat. + def enterCreateFileFormat(self, ctx:SqlBaseParser.CreateFileFormatContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createFileFormat. + def exitCreateFileFormat(self, ctx:SqlBaseParser.CreateFileFormatContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#tableFileFormat. + def enterTableFileFormat(self, ctx:SqlBaseParser.TableFileFormatContext): + pass + + # Exit a parse tree produced by SqlBaseParser#tableFileFormat. + def exitTableFileFormat(self, ctx:SqlBaseParser.TableFileFormatContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#genericFileFormat. + def enterGenericFileFormat(self, ctx:SqlBaseParser.GenericFileFormatContext): + pass + + # Exit a parse tree produced by SqlBaseParser#genericFileFormat. + def exitGenericFileFormat(self, ctx:SqlBaseParser.GenericFileFormatContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#storageHandler. + def enterStorageHandler(self, ctx:SqlBaseParser.StorageHandlerContext): + pass + + # Exit a parse tree produced by SqlBaseParser#storageHandler. + def exitStorageHandler(self, ctx:SqlBaseParser.StorageHandlerContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#resource. + def enterResource(self, ctx:SqlBaseParser.ResourceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#resource. + def exitResource(self, ctx:SqlBaseParser.ResourceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#singleInsertQuery. + def enterSingleInsertQuery(self, ctx:SqlBaseParser.SingleInsertQueryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#singleInsertQuery. + def exitSingleInsertQuery(self, ctx:SqlBaseParser.SingleInsertQueryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#multiInsertQuery. + def enterMultiInsertQuery(self, ctx:SqlBaseParser.MultiInsertQueryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#multiInsertQuery. + def exitMultiInsertQuery(self, ctx:SqlBaseParser.MultiInsertQueryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#deleteFromTable. + def enterDeleteFromTable(self, ctx:SqlBaseParser.DeleteFromTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#deleteFromTable. + def exitDeleteFromTable(self, ctx:SqlBaseParser.DeleteFromTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#updateTable. + def enterUpdateTable(self, ctx:SqlBaseParser.UpdateTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#updateTable. + def exitUpdateTable(self, ctx:SqlBaseParser.UpdateTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#mergeIntoTable. + def enterMergeIntoTable(self, ctx:SqlBaseParser.MergeIntoTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#mergeIntoTable. + def exitMergeIntoTable(self, ctx:SqlBaseParser.MergeIntoTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#queryOrganization. + def enterQueryOrganization(self, ctx:SqlBaseParser.QueryOrganizationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#queryOrganization. + def exitQueryOrganization(self, ctx:SqlBaseParser.QueryOrganizationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#multiInsertQueryBody. + def enterMultiInsertQueryBody(self, ctx:SqlBaseParser.MultiInsertQueryBodyContext): + pass + + # Exit a parse tree produced by SqlBaseParser#multiInsertQueryBody. + def exitMultiInsertQueryBody(self, ctx:SqlBaseParser.MultiInsertQueryBodyContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#sortItem. + def enterSortItem(self, ctx:SqlBaseParser.SortItemContext): + pass + + # Exit a parse tree produced by SqlBaseParser#sortItem. + def exitSortItem(self, ctx:SqlBaseParser.SortItemContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#fromStatement. + def enterFromStatement(self, ctx:SqlBaseParser.FromStatementContext): + pass + + # Exit a parse tree produced by SqlBaseParser#fromStatement. + def exitFromStatement(self, ctx:SqlBaseParser.FromStatementContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#fromStatementBody. + def enterFromStatementBody(self, ctx:SqlBaseParser.FromStatementBodyContext): + pass + + # Exit a parse tree produced by SqlBaseParser#fromStatementBody. + def exitFromStatementBody(self, ctx:SqlBaseParser.FromStatementBodyContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#transformClause. + def enterTransformClause(self, ctx:SqlBaseParser.TransformClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#transformClause. + def exitTransformClause(self, ctx:SqlBaseParser.TransformClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#selectClause. + def enterSelectClause(self, ctx:SqlBaseParser.SelectClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#selectClause. + def exitSelectClause(self, ctx:SqlBaseParser.SelectClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setClause. + def enterSetClause(self, ctx:SqlBaseParser.SetClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setClause. + def exitSetClause(self, ctx:SqlBaseParser.SetClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#matchedClause. + def enterMatchedClause(self, ctx:SqlBaseParser.MatchedClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#matchedClause. + def exitMatchedClause(self, ctx:SqlBaseParser.MatchedClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#notMatchedClause. + def enterNotMatchedClause(self, ctx:SqlBaseParser.NotMatchedClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#notMatchedClause. + def exitNotMatchedClause(self, ctx:SqlBaseParser.NotMatchedClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#notMatchedBySourceClause. + def enterNotMatchedBySourceClause(self, ctx:SqlBaseParser.NotMatchedBySourceClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#notMatchedBySourceClause. + def exitNotMatchedBySourceClause(self, ctx:SqlBaseParser.NotMatchedBySourceClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#matchedAction. + def enterMatchedAction(self, ctx:SqlBaseParser.MatchedActionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#matchedAction. + def exitMatchedAction(self, ctx:SqlBaseParser.MatchedActionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#notMatchedAction. + def enterNotMatchedAction(self, ctx:SqlBaseParser.NotMatchedActionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#notMatchedAction. + def exitNotMatchedAction(self, ctx:SqlBaseParser.NotMatchedActionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#notMatchedBySourceAction. + def enterNotMatchedBySourceAction(self, ctx:SqlBaseParser.NotMatchedBySourceActionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#notMatchedBySourceAction. + def exitNotMatchedBySourceAction(self, ctx:SqlBaseParser.NotMatchedBySourceActionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#assignmentList. + def enterAssignmentList(self, ctx:SqlBaseParser.AssignmentListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#assignmentList. + def exitAssignmentList(self, ctx:SqlBaseParser.AssignmentListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#assignment. + def enterAssignment(self, ctx:SqlBaseParser.AssignmentContext): + pass + + # Exit a parse tree produced by SqlBaseParser#assignment. + def exitAssignment(self, ctx:SqlBaseParser.AssignmentContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#whereClause. + def enterWhereClause(self, ctx:SqlBaseParser.WhereClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#whereClause. + def exitWhereClause(self, ctx:SqlBaseParser.WhereClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#havingClause. + def enterHavingClause(self, ctx:SqlBaseParser.HavingClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#havingClause. + def exitHavingClause(self, ctx:SqlBaseParser.HavingClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#hint. + def enterHint(self, ctx:SqlBaseParser.HintContext): + pass + + # Exit a parse tree produced by SqlBaseParser#hint. + def exitHint(self, ctx:SqlBaseParser.HintContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#hintStatement. + def enterHintStatement(self, ctx:SqlBaseParser.HintStatementContext): + pass + + # Exit a parse tree produced by SqlBaseParser#hintStatement. + def exitHintStatement(self, ctx:SqlBaseParser.HintStatementContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#fromClause. + def enterFromClause(self, ctx:SqlBaseParser.FromClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#fromClause. + def exitFromClause(self, ctx:SqlBaseParser.FromClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#temporalClause. + def enterTemporalClause(self, ctx:SqlBaseParser.TemporalClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#temporalClause. + def exitTemporalClause(self, ctx:SqlBaseParser.TemporalClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#aggregationClause. + def enterAggregationClause(self, ctx:SqlBaseParser.AggregationClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#aggregationClause. + def exitAggregationClause(self, ctx:SqlBaseParser.AggregationClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#groupByClause. + def enterGroupByClause(self, ctx:SqlBaseParser.GroupByClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#groupByClause. + def exitGroupByClause(self, ctx:SqlBaseParser.GroupByClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#groupingAnalytics. + def enterGroupingAnalytics(self, ctx:SqlBaseParser.GroupingAnalyticsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#groupingAnalytics. + def exitGroupingAnalytics(self, ctx:SqlBaseParser.GroupingAnalyticsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#groupingElement. + def enterGroupingElement(self, ctx:SqlBaseParser.GroupingElementContext): + pass + + # Exit a parse tree produced by SqlBaseParser#groupingElement. + def exitGroupingElement(self, ctx:SqlBaseParser.GroupingElementContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#groupingSet. + def enterGroupingSet(self, ctx:SqlBaseParser.GroupingSetContext): + pass + + # Exit a parse tree produced by SqlBaseParser#groupingSet. + def exitGroupingSet(self, ctx:SqlBaseParser.GroupingSetContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#pivotClause. + def enterPivotClause(self, ctx:SqlBaseParser.PivotClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#pivotClause. + def exitPivotClause(self, ctx:SqlBaseParser.PivotClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#pivotColumn. + def enterPivotColumn(self, ctx:SqlBaseParser.PivotColumnContext): + pass + + # Exit a parse tree produced by SqlBaseParser#pivotColumn. + def exitPivotColumn(self, ctx:SqlBaseParser.PivotColumnContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#pivotValue. + def enterPivotValue(self, ctx:SqlBaseParser.PivotValueContext): + pass + + # Exit a parse tree produced by SqlBaseParser#pivotValue. + def exitPivotValue(self, ctx:SqlBaseParser.PivotValueContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotClause. + def enterUnpivotClause(self, ctx:SqlBaseParser.UnpivotClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotClause. + def exitUnpivotClause(self, ctx:SqlBaseParser.UnpivotClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotNullClause. + def enterUnpivotNullClause(self, ctx:SqlBaseParser.UnpivotNullClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotNullClause. + def exitUnpivotNullClause(self, ctx:SqlBaseParser.UnpivotNullClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotOperator. + def enterUnpivotOperator(self, ctx:SqlBaseParser.UnpivotOperatorContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotOperator. + def exitUnpivotOperator(self, ctx:SqlBaseParser.UnpivotOperatorContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotSingleValueColumnClause. + def enterUnpivotSingleValueColumnClause(self, ctx:SqlBaseParser.UnpivotSingleValueColumnClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotSingleValueColumnClause. + def exitUnpivotSingleValueColumnClause(self, ctx:SqlBaseParser.UnpivotSingleValueColumnClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotMultiValueColumnClause. + def enterUnpivotMultiValueColumnClause(self, ctx:SqlBaseParser.UnpivotMultiValueColumnClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotMultiValueColumnClause. + def exitUnpivotMultiValueColumnClause(self, ctx:SqlBaseParser.UnpivotMultiValueColumnClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotColumnSet. + def enterUnpivotColumnSet(self, ctx:SqlBaseParser.UnpivotColumnSetContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotColumnSet. + def exitUnpivotColumnSet(self, ctx:SqlBaseParser.UnpivotColumnSetContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotValueColumn. + def enterUnpivotValueColumn(self, ctx:SqlBaseParser.UnpivotValueColumnContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotValueColumn. + def exitUnpivotValueColumn(self, ctx:SqlBaseParser.UnpivotValueColumnContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotNameColumn. + def enterUnpivotNameColumn(self, ctx:SqlBaseParser.UnpivotNameColumnContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotNameColumn. + def exitUnpivotNameColumn(self, ctx:SqlBaseParser.UnpivotNameColumnContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotColumnAndAlias. + def enterUnpivotColumnAndAlias(self, ctx:SqlBaseParser.UnpivotColumnAndAliasContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotColumnAndAlias. + def exitUnpivotColumnAndAlias(self, ctx:SqlBaseParser.UnpivotColumnAndAliasContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotColumn. + def enterUnpivotColumn(self, ctx:SqlBaseParser.UnpivotColumnContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotColumn. + def exitUnpivotColumn(self, ctx:SqlBaseParser.UnpivotColumnContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unpivotAlias. + def enterUnpivotAlias(self, ctx:SqlBaseParser.UnpivotAliasContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unpivotAlias. + def exitUnpivotAlias(self, ctx:SqlBaseParser.UnpivotAliasContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#lateralView. + def enterLateralView(self, ctx:SqlBaseParser.LateralViewContext): + pass + + # Exit a parse tree produced by SqlBaseParser#lateralView. + def exitLateralView(self, ctx:SqlBaseParser.LateralViewContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#setQuantifier. + def enterSetQuantifier(self, ctx:SqlBaseParser.SetQuantifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#setQuantifier. + def exitSetQuantifier(self, ctx:SqlBaseParser.SetQuantifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#relation. + def enterRelation(self, ctx:SqlBaseParser.RelationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#relation. + def exitRelation(self, ctx:SqlBaseParser.RelationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#relationExtension. + def enterRelationExtension(self, ctx:SqlBaseParser.RelationExtensionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#relationExtension. + def exitRelationExtension(self, ctx:SqlBaseParser.RelationExtensionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#joinRelation. + def enterJoinRelation(self, ctx:SqlBaseParser.JoinRelationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#joinRelation. + def exitJoinRelation(self, ctx:SqlBaseParser.JoinRelationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#joinType. + def enterJoinType(self, ctx:SqlBaseParser.JoinTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#joinType. + def exitJoinType(self, ctx:SqlBaseParser.JoinTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#joinCriteria. + def enterJoinCriteria(self, ctx:SqlBaseParser.JoinCriteriaContext): + pass + + # Exit a parse tree produced by SqlBaseParser#joinCriteria. + def exitJoinCriteria(self, ctx:SqlBaseParser.JoinCriteriaContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#sample. + def enterSample(self, ctx:SqlBaseParser.SampleContext): + pass + + # Exit a parse tree produced by SqlBaseParser#sample. + def exitSample(self, ctx:SqlBaseParser.SampleContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#sampleByPercentile. + def enterSampleByPercentile(self, ctx:SqlBaseParser.SampleByPercentileContext): + pass + + # Exit a parse tree produced by SqlBaseParser#sampleByPercentile. + def exitSampleByPercentile(self, ctx:SqlBaseParser.SampleByPercentileContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#sampleByRows. + def enterSampleByRows(self, ctx:SqlBaseParser.SampleByRowsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#sampleByRows. + def exitSampleByRows(self, ctx:SqlBaseParser.SampleByRowsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#sampleByBucket. + def enterSampleByBucket(self, ctx:SqlBaseParser.SampleByBucketContext): + pass + + # Exit a parse tree produced by SqlBaseParser#sampleByBucket. + def exitSampleByBucket(self, ctx:SqlBaseParser.SampleByBucketContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#sampleByBytes. + def enterSampleByBytes(self, ctx:SqlBaseParser.SampleByBytesContext): + pass + + # Exit a parse tree produced by SqlBaseParser#sampleByBytes. + def exitSampleByBytes(self, ctx:SqlBaseParser.SampleByBytesContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#identifierList. + def enterIdentifierList(self, ctx:SqlBaseParser.IdentifierListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#identifierList. + def exitIdentifierList(self, ctx:SqlBaseParser.IdentifierListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#identifierSeq. + def enterIdentifierSeq(self, ctx:SqlBaseParser.IdentifierSeqContext): + pass + + # Exit a parse tree produced by SqlBaseParser#identifierSeq. + def exitIdentifierSeq(self, ctx:SqlBaseParser.IdentifierSeqContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#orderedIdentifierList. + def enterOrderedIdentifierList(self, ctx:SqlBaseParser.OrderedIdentifierListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#orderedIdentifierList. + def exitOrderedIdentifierList(self, ctx:SqlBaseParser.OrderedIdentifierListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#orderedIdentifier. + def enterOrderedIdentifier(self, ctx:SqlBaseParser.OrderedIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#orderedIdentifier. + def exitOrderedIdentifier(self, ctx:SqlBaseParser.OrderedIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#identifierCommentList. + def enterIdentifierCommentList(self, ctx:SqlBaseParser.IdentifierCommentListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#identifierCommentList. + def exitIdentifierCommentList(self, ctx:SqlBaseParser.IdentifierCommentListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#identifierComment. + def enterIdentifierComment(self, ctx:SqlBaseParser.IdentifierCommentContext): + pass + + # Exit a parse tree produced by SqlBaseParser#identifierComment. + def exitIdentifierComment(self, ctx:SqlBaseParser.IdentifierCommentContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#tableName. + def enterTableName(self, ctx:SqlBaseParser.TableNameContext): + pass + + # Exit a parse tree produced by SqlBaseParser#tableName. + def exitTableName(self, ctx:SqlBaseParser.TableNameContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#aliasedQuery. + def enterAliasedQuery(self, ctx:SqlBaseParser.AliasedQueryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#aliasedQuery. + def exitAliasedQuery(self, ctx:SqlBaseParser.AliasedQueryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#aliasedRelation. + def enterAliasedRelation(self, ctx:SqlBaseParser.AliasedRelationContext): + pass + + # Exit a parse tree produced by SqlBaseParser#aliasedRelation. + def exitAliasedRelation(self, ctx:SqlBaseParser.AliasedRelationContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#inlineTableDefault2. + def enterInlineTableDefault2(self, ctx:SqlBaseParser.InlineTableDefault2Context): + pass + + # Exit a parse tree produced by SqlBaseParser#inlineTableDefault2. + def exitInlineTableDefault2(self, ctx:SqlBaseParser.InlineTableDefault2Context): + pass + + + # Enter a parse tree produced by SqlBaseParser#tableValuedFunction. + def enterTableValuedFunction(self, ctx:SqlBaseParser.TableValuedFunctionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#tableValuedFunction. + def exitTableValuedFunction(self, ctx:SqlBaseParser.TableValuedFunctionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#inlineTable. + def enterInlineTable(self, ctx:SqlBaseParser.InlineTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#inlineTable. + def exitInlineTable(self, ctx:SqlBaseParser.InlineTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#functionTable. + def enterFunctionTable(self, ctx:SqlBaseParser.FunctionTableContext): + pass + + # Exit a parse tree produced by SqlBaseParser#functionTable. + def exitFunctionTable(self, ctx:SqlBaseParser.FunctionTableContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#tableAlias. + def enterTableAlias(self, ctx:SqlBaseParser.TableAliasContext): + pass + + # Exit a parse tree produced by SqlBaseParser#tableAlias. + def exitTableAlias(self, ctx:SqlBaseParser.TableAliasContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#rowFormatSerde. + def enterRowFormatSerde(self, ctx:SqlBaseParser.RowFormatSerdeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#rowFormatSerde. + def exitRowFormatSerde(self, ctx:SqlBaseParser.RowFormatSerdeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#rowFormatDelimited. + def enterRowFormatDelimited(self, ctx:SqlBaseParser.RowFormatDelimitedContext): + pass + + # Exit a parse tree produced by SqlBaseParser#rowFormatDelimited. + def exitRowFormatDelimited(self, ctx:SqlBaseParser.RowFormatDelimitedContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#multipartIdentifierList. + def enterMultipartIdentifierList(self, ctx:SqlBaseParser.MultipartIdentifierListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#multipartIdentifierList. + def exitMultipartIdentifierList(self, ctx:SqlBaseParser.MultipartIdentifierListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#multipartIdentifier. + def enterMultipartIdentifier(self, ctx:SqlBaseParser.MultipartIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#multipartIdentifier. + def exitMultipartIdentifier(self, ctx:SqlBaseParser.MultipartIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#multipartIdentifierPropertyList. + def enterMultipartIdentifierPropertyList(self, ctx:SqlBaseParser.MultipartIdentifierPropertyListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#multipartIdentifierPropertyList. + def exitMultipartIdentifierPropertyList(self, ctx:SqlBaseParser.MultipartIdentifierPropertyListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#multipartIdentifierProperty. + def enterMultipartIdentifierProperty(self, ctx:SqlBaseParser.MultipartIdentifierPropertyContext): + pass + + # Exit a parse tree produced by SqlBaseParser#multipartIdentifierProperty. + def exitMultipartIdentifierProperty(self, ctx:SqlBaseParser.MultipartIdentifierPropertyContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#tableIdentifier. + def enterTableIdentifier(self, ctx:SqlBaseParser.TableIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#tableIdentifier. + def exitTableIdentifier(self, ctx:SqlBaseParser.TableIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#functionIdentifier. + def enterFunctionIdentifier(self, ctx:SqlBaseParser.FunctionIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#functionIdentifier. + def exitFunctionIdentifier(self, ctx:SqlBaseParser.FunctionIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#namedExpression. + def enterNamedExpression(self, ctx:SqlBaseParser.NamedExpressionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#namedExpression. + def exitNamedExpression(self, ctx:SqlBaseParser.NamedExpressionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#namedExpressionSeq. + def enterNamedExpressionSeq(self, ctx:SqlBaseParser.NamedExpressionSeqContext): + pass + + # Exit a parse tree produced by SqlBaseParser#namedExpressionSeq. + def exitNamedExpressionSeq(self, ctx:SqlBaseParser.NamedExpressionSeqContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#partitionFieldList. + def enterPartitionFieldList(self, ctx:SqlBaseParser.PartitionFieldListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#partitionFieldList. + def exitPartitionFieldList(self, ctx:SqlBaseParser.PartitionFieldListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#partitionTransform. + def enterPartitionTransform(self, ctx:SqlBaseParser.PartitionTransformContext): + pass + + # Exit a parse tree produced by SqlBaseParser#partitionTransform. + def exitPartitionTransform(self, ctx:SqlBaseParser.PartitionTransformContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#partitionColumn. + def enterPartitionColumn(self, ctx:SqlBaseParser.PartitionColumnContext): + pass + + # Exit a parse tree produced by SqlBaseParser#partitionColumn. + def exitPartitionColumn(self, ctx:SqlBaseParser.PartitionColumnContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#identityTransform. + def enterIdentityTransform(self, ctx:SqlBaseParser.IdentityTransformContext): + pass + + # Exit a parse tree produced by SqlBaseParser#identityTransform. + def exitIdentityTransform(self, ctx:SqlBaseParser.IdentityTransformContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#applyTransform. + def enterApplyTransform(self, ctx:SqlBaseParser.ApplyTransformContext): + pass + + # Exit a parse tree produced by SqlBaseParser#applyTransform. + def exitApplyTransform(self, ctx:SqlBaseParser.ApplyTransformContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#transformArgument. + def enterTransformArgument(self, ctx:SqlBaseParser.TransformArgumentContext): + pass + + # Exit a parse tree produced by SqlBaseParser#transformArgument. + def exitTransformArgument(self, ctx:SqlBaseParser.TransformArgumentContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#expression. + def enterExpression(self, ctx:SqlBaseParser.ExpressionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#expression. + def exitExpression(self, ctx:SqlBaseParser.ExpressionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#expressionSeq. + def enterExpressionSeq(self, ctx:SqlBaseParser.ExpressionSeqContext): + pass + + # Exit a parse tree produced by SqlBaseParser#expressionSeq. + def exitExpressionSeq(self, ctx:SqlBaseParser.ExpressionSeqContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#logicalNot. + def enterLogicalNot(self, ctx:SqlBaseParser.LogicalNotContext): + pass + + # Exit a parse tree produced by SqlBaseParser#logicalNot. + def exitLogicalNot(self, ctx:SqlBaseParser.LogicalNotContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#predicated. + def enterPredicated(self, ctx:SqlBaseParser.PredicatedContext): + pass + + # Exit a parse tree produced by SqlBaseParser#predicated. + def exitPredicated(self, ctx:SqlBaseParser.PredicatedContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#exists. + def enterExists(self, ctx:SqlBaseParser.ExistsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#exists. + def exitExists(self, ctx:SqlBaseParser.ExistsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#logicalBinary. + def enterLogicalBinary(self, ctx:SqlBaseParser.LogicalBinaryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#logicalBinary. + def exitLogicalBinary(self, ctx:SqlBaseParser.LogicalBinaryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#predicate. + def enterPredicate(self, ctx:SqlBaseParser.PredicateContext): + pass + + # Exit a parse tree produced by SqlBaseParser#predicate. + def exitPredicate(self, ctx:SqlBaseParser.PredicateContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#valueExpressionDefault. + def enterValueExpressionDefault(self, ctx:SqlBaseParser.ValueExpressionDefaultContext): + pass + + # Exit a parse tree produced by SqlBaseParser#valueExpressionDefault. + def exitValueExpressionDefault(self, ctx:SqlBaseParser.ValueExpressionDefaultContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#comparison. + def enterComparison(self, ctx:SqlBaseParser.ComparisonContext): + pass + + # Exit a parse tree produced by SqlBaseParser#comparison. + def exitComparison(self, ctx:SqlBaseParser.ComparisonContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#arithmeticBinary. + def enterArithmeticBinary(self, ctx:SqlBaseParser.ArithmeticBinaryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#arithmeticBinary. + def exitArithmeticBinary(self, ctx:SqlBaseParser.ArithmeticBinaryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#arithmeticUnary. + def enterArithmeticUnary(self, ctx:SqlBaseParser.ArithmeticUnaryContext): + pass + + # Exit a parse tree produced by SqlBaseParser#arithmeticUnary. + def exitArithmeticUnary(self, ctx:SqlBaseParser.ArithmeticUnaryContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#datetimeUnit. + def enterDatetimeUnit(self, ctx:SqlBaseParser.DatetimeUnitContext): + pass + + # Exit a parse tree produced by SqlBaseParser#datetimeUnit. + def exitDatetimeUnit(self, ctx:SqlBaseParser.DatetimeUnitContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#struct. + def enterStruct(self, ctx:SqlBaseParser.StructContext): + pass + + # Exit a parse tree produced by SqlBaseParser#struct. + def exitStruct(self, ctx:SqlBaseParser.StructContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dereference. + def enterDereference(self, ctx:SqlBaseParser.DereferenceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dereference. + def exitDereference(self, ctx:SqlBaseParser.DereferenceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#timestampadd. + def enterTimestampadd(self, ctx:SqlBaseParser.TimestampaddContext): + pass + + # Exit a parse tree produced by SqlBaseParser#timestampadd. + def exitTimestampadd(self, ctx:SqlBaseParser.TimestampaddContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#substring. + def enterSubstring(self, ctx:SqlBaseParser.SubstringContext): + pass + + # Exit a parse tree produced by SqlBaseParser#substring. + def exitSubstring(self, ctx:SqlBaseParser.SubstringContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#cast. + def enterCast(self, ctx:SqlBaseParser.CastContext): + pass + + # Exit a parse tree produced by SqlBaseParser#cast. + def exitCast(self, ctx:SqlBaseParser.CastContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#lambda. + def enterLambda(self, ctx:SqlBaseParser.LambdaContext): + pass + + # Exit a parse tree produced by SqlBaseParser#lambda. + def exitLambda(self, ctx:SqlBaseParser.LambdaContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#parenthesizedExpression. + def enterParenthesizedExpression(self, ctx:SqlBaseParser.ParenthesizedExpressionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#parenthesizedExpression. + def exitParenthesizedExpression(self, ctx:SqlBaseParser.ParenthesizedExpressionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#any_value. + def enterAny_value(self, ctx:SqlBaseParser.Any_valueContext): + pass + + # Exit a parse tree produced by SqlBaseParser#any_value. + def exitAny_value(self, ctx:SqlBaseParser.Any_valueContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#trim. + def enterTrim(self, ctx:SqlBaseParser.TrimContext): + pass + + # Exit a parse tree produced by SqlBaseParser#trim. + def exitTrim(self, ctx:SqlBaseParser.TrimContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#simpleCase. + def enterSimpleCase(self, ctx:SqlBaseParser.SimpleCaseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#simpleCase. + def exitSimpleCase(self, ctx:SqlBaseParser.SimpleCaseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#currentLike. + def enterCurrentLike(self, ctx:SqlBaseParser.CurrentLikeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#currentLike. + def exitCurrentLike(self, ctx:SqlBaseParser.CurrentLikeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#columnReference. + def enterColumnReference(self, ctx:SqlBaseParser.ColumnReferenceContext): + pass + + # Exit a parse tree produced by SqlBaseParser#columnReference. + def exitColumnReference(self, ctx:SqlBaseParser.ColumnReferenceContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#rowConstructor. + def enterRowConstructor(self, ctx:SqlBaseParser.RowConstructorContext): + pass + + # Exit a parse tree produced by SqlBaseParser#rowConstructor. + def exitRowConstructor(self, ctx:SqlBaseParser.RowConstructorContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#last. + def enterLast(self, ctx:SqlBaseParser.LastContext): + pass + + # Exit a parse tree produced by SqlBaseParser#last. + def exitLast(self, ctx:SqlBaseParser.LastContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#star. + def enterStar(self, ctx:SqlBaseParser.StarContext): + pass + + # Exit a parse tree produced by SqlBaseParser#star. + def exitStar(self, ctx:SqlBaseParser.StarContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#overlay. + def enterOverlay(self, ctx:SqlBaseParser.OverlayContext): + pass + + # Exit a parse tree produced by SqlBaseParser#overlay. + def exitOverlay(self, ctx:SqlBaseParser.OverlayContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#subscript. + def enterSubscript(self, ctx:SqlBaseParser.SubscriptContext): + pass + + # Exit a parse tree produced by SqlBaseParser#subscript. + def exitSubscript(self, ctx:SqlBaseParser.SubscriptContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#timestampdiff. + def enterTimestampdiff(self, ctx:SqlBaseParser.TimestampdiffContext): + pass + + # Exit a parse tree produced by SqlBaseParser#timestampdiff. + def exitTimestampdiff(self, ctx:SqlBaseParser.TimestampdiffContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#subqueryExpression. + def enterSubqueryExpression(self, ctx:SqlBaseParser.SubqueryExpressionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#subqueryExpression. + def exitSubqueryExpression(self, ctx:SqlBaseParser.SubqueryExpressionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#constantDefault. + def enterConstantDefault(self, ctx:SqlBaseParser.ConstantDefaultContext): + pass + + # Exit a parse tree produced by SqlBaseParser#constantDefault. + def exitConstantDefault(self, ctx:SqlBaseParser.ConstantDefaultContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#extract. + def enterExtract(self, ctx:SqlBaseParser.ExtractContext): + pass + + # Exit a parse tree produced by SqlBaseParser#extract. + def exitExtract(self, ctx:SqlBaseParser.ExtractContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#percentile. + def enterPercentile(self, ctx:SqlBaseParser.PercentileContext): + pass + + # Exit a parse tree produced by SqlBaseParser#percentile. + def exitPercentile(self, ctx:SqlBaseParser.PercentileContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#functionCall. + def enterFunctionCall(self, ctx:SqlBaseParser.FunctionCallContext): + pass + + # Exit a parse tree produced by SqlBaseParser#functionCall. + def exitFunctionCall(self, ctx:SqlBaseParser.FunctionCallContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#searchedCase. + def enterSearchedCase(self, ctx:SqlBaseParser.SearchedCaseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#searchedCase. + def exitSearchedCase(self, ctx:SqlBaseParser.SearchedCaseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#position. + def enterPosition(self, ctx:SqlBaseParser.PositionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#position. + def exitPosition(self, ctx:SqlBaseParser.PositionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#first. + def enterFirst(self, ctx:SqlBaseParser.FirstContext): + pass + + # Exit a parse tree produced by SqlBaseParser#first. + def exitFirst(self, ctx:SqlBaseParser.FirstContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#nullLiteral. + def enterNullLiteral(self, ctx:SqlBaseParser.NullLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#nullLiteral. + def exitNullLiteral(self, ctx:SqlBaseParser.NullLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#parameterLiteral. + def enterParameterLiteral(self, ctx:SqlBaseParser.ParameterLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#parameterLiteral. + def exitParameterLiteral(self, ctx:SqlBaseParser.ParameterLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#intervalLiteral. + def enterIntervalLiteral(self, ctx:SqlBaseParser.IntervalLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#intervalLiteral. + def exitIntervalLiteral(self, ctx:SqlBaseParser.IntervalLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#typeConstructor. + def enterTypeConstructor(self, ctx:SqlBaseParser.TypeConstructorContext): + pass + + # Exit a parse tree produced by SqlBaseParser#typeConstructor. + def exitTypeConstructor(self, ctx:SqlBaseParser.TypeConstructorContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#numericLiteral. + def enterNumericLiteral(self, ctx:SqlBaseParser.NumericLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#numericLiteral. + def exitNumericLiteral(self, ctx:SqlBaseParser.NumericLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#booleanLiteral. + def enterBooleanLiteral(self, ctx:SqlBaseParser.BooleanLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#booleanLiteral. + def exitBooleanLiteral(self, ctx:SqlBaseParser.BooleanLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#stringLiteral. + def enterStringLiteral(self, ctx:SqlBaseParser.StringLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#stringLiteral. + def exitStringLiteral(self, ctx:SqlBaseParser.StringLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#comparisonOperator. + def enterComparisonOperator(self, ctx:SqlBaseParser.ComparisonOperatorContext): + pass + + # Exit a parse tree produced by SqlBaseParser#comparisonOperator. + def exitComparisonOperator(self, ctx:SqlBaseParser.ComparisonOperatorContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#arithmeticOperator. + def enterArithmeticOperator(self, ctx:SqlBaseParser.ArithmeticOperatorContext): + pass + + # Exit a parse tree produced by SqlBaseParser#arithmeticOperator. + def exitArithmeticOperator(self, ctx:SqlBaseParser.ArithmeticOperatorContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#predicateOperator. + def enterPredicateOperator(self, ctx:SqlBaseParser.PredicateOperatorContext): + pass + + # Exit a parse tree produced by SqlBaseParser#predicateOperator. + def exitPredicateOperator(self, ctx:SqlBaseParser.PredicateOperatorContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#booleanValue. + def enterBooleanValue(self, ctx:SqlBaseParser.BooleanValueContext): + pass + + # Exit a parse tree produced by SqlBaseParser#booleanValue. + def exitBooleanValue(self, ctx:SqlBaseParser.BooleanValueContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#interval. + def enterInterval(self, ctx:SqlBaseParser.IntervalContext): + pass + + # Exit a parse tree produced by SqlBaseParser#interval. + def exitInterval(self, ctx:SqlBaseParser.IntervalContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#errorCapturingMultiUnitsInterval. + def enterErrorCapturingMultiUnitsInterval(self, ctx:SqlBaseParser.ErrorCapturingMultiUnitsIntervalContext): + pass + + # Exit a parse tree produced by SqlBaseParser#errorCapturingMultiUnitsInterval. + def exitErrorCapturingMultiUnitsInterval(self, ctx:SqlBaseParser.ErrorCapturingMultiUnitsIntervalContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#multiUnitsInterval. + def enterMultiUnitsInterval(self, ctx:SqlBaseParser.MultiUnitsIntervalContext): + pass + + # Exit a parse tree produced by SqlBaseParser#multiUnitsInterval. + def exitMultiUnitsInterval(self, ctx:SqlBaseParser.MultiUnitsIntervalContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#errorCapturingUnitToUnitInterval. + def enterErrorCapturingUnitToUnitInterval(self, ctx:SqlBaseParser.ErrorCapturingUnitToUnitIntervalContext): + pass + + # Exit a parse tree produced by SqlBaseParser#errorCapturingUnitToUnitInterval. + def exitErrorCapturingUnitToUnitInterval(self, ctx:SqlBaseParser.ErrorCapturingUnitToUnitIntervalContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unitToUnitInterval. + def enterUnitToUnitInterval(self, ctx:SqlBaseParser.UnitToUnitIntervalContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unitToUnitInterval. + def exitUnitToUnitInterval(self, ctx:SqlBaseParser.UnitToUnitIntervalContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#intervalValue. + def enterIntervalValue(self, ctx:SqlBaseParser.IntervalValueContext): + pass + + # Exit a parse tree produced by SqlBaseParser#intervalValue. + def exitIntervalValue(self, ctx:SqlBaseParser.IntervalValueContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unitInMultiUnits. + def enterUnitInMultiUnits(self, ctx:SqlBaseParser.UnitInMultiUnitsContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unitInMultiUnits. + def exitUnitInMultiUnits(self, ctx:SqlBaseParser.UnitInMultiUnitsContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unitInUnitToUnit. + def enterUnitInUnitToUnit(self, ctx:SqlBaseParser.UnitInUnitToUnitContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unitInUnitToUnit. + def exitUnitInUnitToUnit(self, ctx:SqlBaseParser.UnitInUnitToUnitContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#colPosition. + def enterColPosition(self, ctx:SqlBaseParser.ColPositionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#colPosition. + def exitColPosition(self, ctx:SqlBaseParser.ColPositionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#complexDataType. + def enterComplexDataType(self, ctx:SqlBaseParser.ComplexDataTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#complexDataType. + def exitComplexDataType(self, ctx:SqlBaseParser.ComplexDataTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#yearMonthIntervalDataType. + def enterYearMonthIntervalDataType(self, ctx:SqlBaseParser.YearMonthIntervalDataTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#yearMonthIntervalDataType. + def exitYearMonthIntervalDataType(self, ctx:SqlBaseParser.YearMonthIntervalDataTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#dayTimeIntervalDataType. + def enterDayTimeIntervalDataType(self, ctx:SqlBaseParser.DayTimeIntervalDataTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#dayTimeIntervalDataType. + def exitDayTimeIntervalDataType(self, ctx:SqlBaseParser.DayTimeIntervalDataTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#primitiveDataType. + def enterPrimitiveDataType(self, ctx:SqlBaseParser.PrimitiveDataTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#primitiveDataType. + def exitPrimitiveDataType(self, ctx:SqlBaseParser.PrimitiveDataTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#qualifiedColTypeWithPositionList. + def enterQualifiedColTypeWithPositionList(self, ctx:SqlBaseParser.QualifiedColTypeWithPositionListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#qualifiedColTypeWithPositionList. + def exitQualifiedColTypeWithPositionList(self, ctx:SqlBaseParser.QualifiedColTypeWithPositionListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#qualifiedColTypeWithPosition. + def enterQualifiedColTypeWithPosition(self, ctx:SqlBaseParser.QualifiedColTypeWithPositionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#qualifiedColTypeWithPosition. + def exitQualifiedColTypeWithPosition(self, ctx:SqlBaseParser.QualifiedColTypeWithPositionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#colDefinitionDescriptorWithPosition. + def enterColDefinitionDescriptorWithPosition(self, ctx:SqlBaseParser.ColDefinitionDescriptorWithPositionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#colDefinitionDescriptorWithPosition. + def exitColDefinitionDescriptorWithPosition(self, ctx:SqlBaseParser.ColDefinitionDescriptorWithPositionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#defaultExpression. + def enterDefaultExpression(self, ctx:SqlBaseParser.DefaultExpressionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#defaultExpression. + def exitDefaultExpression(self, ctx:SqlBaseParser.DefaultExpressionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#colTypeList. + def enterColTypeList(self, ctx:SqlBaseParser.ColTypeListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#colTypeList. + def exitColTypeList(self, ctx:SqlBaseParser.ColTypeListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#colType. + def enterColType(self, ctx:SqlBaseParser.ColTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#colType. + def exitColType(self, ctx:SqlBaseParser.ColTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createOrReplaceTableColTypeList. + def enterCreateOrReplaceTableColTypeList(self, ctx:SqlBaseParser.CreateOrReplaceTableColTypeListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createOrReplaceTableColTypeList. + def exitCreateOrReplaceTableColTypeList(self, ctx:SqlBaseParser.CreateOrReplaceTableColTypeListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#createOrReplaceTableColType. + def enterCreateOrReplaceTableColType(self, ctx:SqlBaseParser.CreateOrReplaceTableColTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#createOrReplaceTableColType. + def exitCreateOrReplaceTableColType(self, ctx:SqlBaseParser.CreateOrReplaceTableColTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#colDefinitionOption. + def enterColDefinitionOption(self, ctx:SqlBaseParser.ColDefinitionOptionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#colDefinitionOption. + def exitColDefinitionOption(self, ctx:SqlBaseParser.ColDefinitionOptionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#generationExpression. + def enterGenerationExpression(self, ctx:SqlBaseParser.GenerationExpressionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#generationExpression. + def exitGenerationExpression(self, ctx:SqlBaseParser.GenerationExpressionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#complexColTypeList. + def enterComplexColTypeList(self, ctx:SqlBaseParser.ComplexColTypeListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#complexColTypeList. + def exitComplexColTypeList(self, ctx:SqlBaseParser.ComplexColTypeListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#complexColType. + def enterComplexColType(self, ctx:SqlBaseParser.ComplexColTypeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#complexColType. + def exitComplexColType(self, ctx:SqlBaseParser.ComplexColTypeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#whenClause. + def enterWhenClause(self, ctx:SqlBaseParser.WhenClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#whenClause. + def exitWhenClause(self, ctx:SqlBaseParser.WhenClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#windowClause. + def enterWindowClause(self, ctx:SqlBaseParser.WindowClauseContext): + pass + + # Exit a parse tree produced by SqlBaseParser#windowClause. + def exitWindowClause(self, ctx:SqlBaseParser.WindowClauseContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#namedWindow. + def enterNamedWindow(self, ctx:SqlBaseParser.NamedWindowContext): + pass + + # Exit a parse tree produced by SqlBaseParser#namedWindow. + def exitNamedWindow(self, ctx:SqlBaseParser.NamedWindowContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#windowRef. + def enterWindowRef(self, ctx:SqlBaseParser.WindowRefContext): + pass + + # Exit a parse tree produced by SqlBaseParser#windowRef. + def exitWindowRef(self, ctx:SqlBaseParser.WindowRefContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#windowDef. + def enterWindowDef(self, ctx:SqlBaseParser.WindowDefContext): + pass + + # Exit a parse tree produced by SqlBaseParser#windowDef. + def exitWindowDef(self, ctx:SqlBaseParser.WindowDefContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#windowFrame. + def enterWindowFrame(self, ctx:SqlBaseParser.WindowFrameContext): + pass + + # Exit a parse tree produced by SqlBaseParser#windowFrame. + def exitWindowFrame(self, ctx:SqlBaseParser.WindowFrameContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#frameBound. + def enterFrameBound(self, ctx:SqlBaseParser.FrameBoundContext): + pass + + # Exit a parse tree produced by SqlBaseParser#frameBound. + def exitFrameBound(self, ctx:SqlBaseParser.FrameBoundContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#qualifiedNameList. + def enterQualifiedNameList(self, ctx:SqlBaseParser.QualifiedNameListContext): + pass + + # Exit a parse tree produced by SqlBaseParser#qualifiedNameList. + def exitQualifiedNameList(self, ctx:SqlBaseParser.QualifiedNameListContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#functionName. + def enterFunctionName(self, ctx:SqlBaseParser.FunctionNameContext): + pass + + # Exit a parse tree produced by SqlBaseParser#functionName. + def exitFunctionName(self, ctx:SqlBaseParser.FunctionNameContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#qualifiedName. + def enterQualifiedName(self, ctx:SqlBaseParser.QualifiedNameContext): + pass + + # Exit a parse tree produced by SqlBaseParser#qualifiedName. + def exitQualifiedName(self, ctx:SqlBaseParser.QualifiedNameContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#errorCapturingIdentifier. + def enterErrorCapturingIdentifier(self, ctx:SqlBaseParser.ErrorCapturingIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#errorCapturingIdentifier. + def exitErrorCapturingIdentifier(self, ctx:SqlBaseParser.ErrorCapturingIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#errorIdent. + def enterErrorIdent(self, ctx:SqlBaseParser.ErrorIdentContext): + pass + + # Exit a parse tree produced by SqlBaseParser#errorIdent. + def exitErrorIdent(self, ctx:SqlBaseParser.ErrorIdentContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#realIdent. + def enterRealIdent(self, ctx:SqlBaseParser.RealIdentContext): + pass + + # Exit a parse tree produced by SqlBaseParser#realIdent. + def exitRealIdent(self, ctx:SqlBaseParser.RealIdentContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#identifier. + def enterIdentifier(self, ctx:SqlBaseParser.IdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#identifier. + def exitIdentifier(self, ctx:SqlBaseParser.IdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#unquotedIdentifier. + def enterUnquotedIdentifier(self, ctx:SqlBaseParser.UnquotedIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#unquotedIdentifier. + def exitUnquotedIdentifier(self, ctx:SqlBaseParser.UnquotedIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#quotedIdentifierAlternative. + def enterQuotedIdentifierAlternative(self, ctx:SqlBaseParser.QuotedIdentifierAlternativeContext): + pass + + # Exit a parse tree produced by SqlBaseParser#quotedIdentifierAlternative. + def exitQuotedIdentifierAlternative(self, ctx:SqlBaseParser.QuotedIdentifierAlternativeContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#quotedIdentifier. + def enterQuotedIdentifier(self, ctx:SqlBaseParser.QuotedIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#quotedIdentifier. + def exitQuotedIdentifier(self, ctx:SqlBaseParser.QuotedIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#backQuotedIdentifier. + def enterBackQuotedIdentifier(self, ctx:SqlBaseParser.BackQuotedIdentifierContext): + pass + + # Exit a parse tree produced by SqlBaseParser#backQuotedIdentifier. + def exitBackQuotedIdentifier(self, ctx:SqlBaseParser.BackQuotedIdentifierContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#exponentLiteral. + def enterExponentLiteral(self, ctx:SqlBaseParser.ExponentLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#exponentLiteral. + def exitExponentLiteral(self, ctx:SqlBaseParser.ExponentLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#decimalLiteral. + def enterDecimalLiteral(self, ctx:SqlBaseParser.DecimalLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#decimalLiteral. + def exitDecimalLiteral(self, ctx:SqlBaseParser.DecimalLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#legacyDecimalLiteral. + def enterLegacyDecimalLiteral(self, ctx:SqlBaseParser.LegacyDecimalLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#legacyDecimalLiteral. + def exitLegacyDecimalLiteral(self, ctx:SqlBaseParser.LegacyDecimalLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#integerLiteral. + def enterIntegerLiteral(self, ctx:SqlBaseParser.IntegerLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#integerLiteral. + def exitIntegerLiteral(self, ctx:SqlBaseParser.IntegerLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#bigIntLiteral. + def enterBigIntLiteral(self, ctx:SqlBaseParser.BigIntLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#bigIntLiteral. + def exitBigIntLiteral(self, ctx:SqlBaseParser.BigIntLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#smallIntLiteral. + def enterSmallIntLiteral(self, ctx:SqlBaseParser.SmallIntLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#smallIntLiteral. + def exitSmallIntLiteral(self, ctx:SqlBaseParser.SmallIntLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#tinyIntLiteral. + def enterTinyIntLiteral(self, ctx:SqlBaseParser.TinyIntLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#tinyIntLiteral. + def exitTinyIntLiteral(self, ctx:SqlBaseParser.TinyIntLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#doubleLiteral. + def enterDoubleLiteral(self, ctx:SqlBaseParser.DoubleLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#doubleLiteral. + def exitDoubleLiteral(self, ctx:SqlBaseParser.DoubleLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#floatLiteral. + def enterFloatLiteral(self, ctx:SqlBaseParser.FloatLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#floatLiteral. + def exitFloatLiteral(self, ctx:SqlBaseParser.FloatLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#bigDecimalLiteral. + def enterBigDecimalLiteral(self, ctx:SqlBaseParser.BigDecimalLiteralContext): + pass + + # Exit a parse tree produced by SqlBaseParser#bigDecimalLiteral. + def exitBigDecimalLiteral(self, ctx:SqlBaseParser.BigDecimalLiteralContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#alterColumnAction. + def enterAlterColumnAction(self, ctx:SqlBaseParser.AlterColumnActionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#alterColumnAction. + def exitAlterColumnAction(self, ctx:SqlBaseParser.AlterColumnActionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#stringLit. + def enterStringLit(self, ctx:SqlBaseParser.StringLitContext): + pass + + # Exit a parse tree produced by SqlBaseParser#stringLit. + def exitStringLit(self, ctx:SqlBaseParser.StringLitContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#comment. + def enterComment(self, ctx:SqlBaseParser.CommentContext): + pass + + # Exit a parse tree produced by SqlBaseParser#comment. + def exitComment(self, ctx:SqlBaseParser.CommentContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#version. + def enterVersion(self, ctx:SqlBaseParser.VersionContext): + pass + + # Exit a parse tree produced by SqlBaseParser#version. + def exitVersion(self, ctx:SqlBaseParser.VersionContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#ansiNonReserved. + def enterAnsiNonReserved(self, ctx:SqlBaseParser.AnsiNonReservedContext): + pass + + # Exit a parse tree produced by SqlBaseParser#ansiNonReserved. + def exitAnsiNonReserved(self, ctx:SqlBaseParser.AnsiNonReservedContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#strictNonReserved. + def enterStrictNonReserved(self, ctx:SqlBaseParser.StrictNonReservedContext): + pass + + # Exit a parse tree produced by SqlBaseParser#strictNonReserved. + def exitStrictNonReserved(self, ctx:SqlBaseParser.StrictNonReservedContext): + pass + + + # Enter a parse tree produced by SqlBaseParser#nonReserved. + def enterNonReserved(self, ctx:SqlBaseParser.NonReservedContext): + pass + + # Exit a parse tree produced by SqlBaseParser#nonReserved. + def exitNonReserved(self, ctx:SqlBaseParser.NonReservedContext): + pass + + + +del SqlBaseParser \ No newline at end of file diff --git a/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParserVisitor.py b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParserVisitor.py new file mode 100644 index 000000000..dc9ffa6f9 --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/backends/grammar/generated/SqlBaseParserVisitor.py @@ -0,0 +1,1628 @@ +# Generated from SqlBaseParser.g4 by ANTLR 4.13.1 +from antlr4 import * +if "." in __name__: + from .SqlBaseParser import SqlBaseParser +else: + from SqlBaseParser import SqlBaseParser + +# This class defines a complete generic visitor for a parse tree produced by SqlBaseParser. + +class SqlBaseParserVisitor(ParseTreeVisitor): + + # Visit a parse tree produced by SqlBaseParser#singleStatement. + def visitSingleStatement(self, ctx:SqlBaseParser.SingleStatementContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#singleExpression. + def visitSingleExpression(self, ctx:SqlBaseParser.SingleExpressionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#singleTableIdentifier. + def visitSingleTableIdentifier(self, ctx:SqlBaseParser.SingleTableIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#singleMultipartIdentifier. + def visitSingleMultipartIdentifier(self, ctx:SqlBaseParser.SingleMultipartIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#singleFunctionIdentifier. + def visitSingleFunctionIdentifier(self, ctx:SqlBaseParser.SingleFunctionIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#singleDataType. + def visitSingleDataType(self, ctx:SqlBaseParser.SingleDataTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#singleTableSchema. + def visitSingleTableSchema(self, ctx:SqlBaseParser.SingleTableSchemaContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#statementDefault. + def visitStatementDefault(self, ctx:SqlBaseParser.StatementDefaultContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dmlStatement. + def visitDmlStatement(self, ctx:SqlBaseParser.DmlStatementContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#use. + def visitUse(self, ctx:SqlBaseParser.UseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#useNamespace. + def visitUseNamespace(self, ctx:SqlBaseParser.UseNamespaceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setCatalog. + def visitSetCatalog(self, ctx:SqlBaseParser.SetCatalogContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createNamespace. + def visitCreateNamespace(self, ctx:SqlBaseParser.CreateNamespaceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setNamespaceProperties. + def visitSetNamespaceProperties(self, ctx:SqlBaseParser.SetNamespacePropertiesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setNamespaceLocation. + def visitSetNamespaceLocation(self, ctx:SqlBaseParser.SetNamespaceLocationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dropNamespace. + def visitDropNamespace(self, ctx:SqlBaseParser.DropNamespaceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showNamespaces. + def visitShowNamespaces(self, ctx:SqlBaseParser.ShowNamespacesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createTable. + def visitCreateTable(self, ctx:SqlBaseParser.CreateTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createTableLike. + def visitCreateTableLike(self, ctx:SqlBaseParser.CreateTableLikeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#replaceTable. + def visitReplaceTable(self, ctx:SqlBaseParser.ReplaceTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#analyze. + def visitAnalyze(self, ctx:SqlBaseParser.AnalyzeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#analyzeTables. + def visitAnalyzeTables(self, ctx:SqlBaseParser.AnalyzeTablesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#addTableColumns. + def visitAddTableColumns(self, ctx:SqlBaseParser.AddTableColumnsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#renameTableColumn. + def visitRenameTableColumn(self, ctx:SqlBaseParser.RenameTableColumnContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dropTableColumns. + def visitDropTableColumns(self, ctx:SqlBaseParser.DropTableColumnsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#renameTable. + def visitRenameTable(self, ctx:SqlBaseParser.RenameTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setTableProperties. + def visitSetTableProperties(self, ctx:SqlBaseParser.SetTablePropertiesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unsetTableProperties. + def visitUnsetTableProperties(self, ctx:SqlBaseParser.UnsetTablePropertiesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#alterTableAlterColumn. + def visitAlterTableAlterColumn(self, ctx:SqlBaseParser.AlterTableAlterColumnContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#hiveChangeColumn. + def visitHiveChangeColumn(self, ctx:SqlBaseParser.HiveChangeColumnContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#hiveReplaceColumns. + def visitHiveReplaceColumns(self, ctx:SqlBaseParser.HiveReplaceColumnsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setTableSerDe. + def visitSetTableSerDe(self, ctx:SqlBaseParser.SetTableSerDeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#addTablePartition. + def visitAddTablePartition(self, ctx:SqlBaseParser.AddTablePartitionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#renameTablePartition. + def visitRenameTablePartition(self, ctx:SqlBaseParser.RenameTablePartitionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dropTablePartitions. + def visitDropTablePartitions(self, ctx:SqlBaseParser.DropTablePartitionsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setTableLocation. + def visitSetTableLocation(self, ctx:SqlBaseParser.SetTableLocationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#recoverPartitions. + def visitRecoverPartitions(self, ctx:SqlBaseParser.RecoverPartitionsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dropTable. + def visitDropTable(self, ctx:SqlBaseParser.DropTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dropView. + def visitDropView(self, ctx:SqlBaseParser.DropViewContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createView. + def visitCreateView(self, ctx:SqlBaseParser.CreateViewContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createTempViewUsing. + def visitCreateTempViewUsing(self, ctx:SqlBaseParser.CreateTempViewUsingContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#alterViewQuery. + def visitAlterViewQuery(self, ctx:SqlBaseParser.AlterViewQueryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createFunction. + def visitCreateFunction(self, ctx:SqlBaseParser.CreateFunctionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dropFunction. + def visitDropFunction(self, ctx:SqlBaseParser.DropFunctionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#explain. + def visitExplain(self, ctx:SqlBaseParser.ExplainContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showTables. + def visitShowTables(self, ctx:SqlBaseParser.ShowTablesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showTableExtended. + def visitShowTableExtended(self, ctx:SqlBaseParser.ShowTableExtendedContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showTblProperties. + def visitShowTblProperties(self, ctx:SqlBaseParser.ShowTblPropertiesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showColumns. + def visitShowColumns(self, ctx:SqlBaseParser.ShowColumnsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showViews. + def visitShowViews(self, ctx:SqlBaseParser.ShowViewsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showPartitions. + def visitShowPartitions(self, ctx:SqlBaseParser.ShowPartitionsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showFunctions. + def visitShowFunctions(self, ctx:SqlBaseParser.ShowFunctionsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showCreateTable. + def visitShowCreateTable(self, ctx:SqlBaseParser.ShowCreateTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showCurrentNamespace. + def visitShowCurrentNamespace(self, ctx:SqlBaseParser.ShowCurrentNamespaceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#showCatalogs. + def visitShowCatalogs(self, ctx:SqlBaseParser.ShowCatalogsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#describeFunction. + def visitDescribeFunction(self, ctx:SqlBaseParser.DescribeFunctionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#describeNamespace. + def visitDescribeNamespace(self, ctx:SqlBaseParser.DescribeNamespaceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#describeRelation. + def visitDescribeRelation(self, ctx:SqlBaseParser.DescribeRelationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#describeQuery. + def visitDescribeQuery(self, ctx:SqlBaseParser.DescribeQueryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#commentNamespace. + def visitCommentNamespace(self, ctx:SqlBaseParser.CommentNamespaceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#commentTable. + def visitCommentTable(self, ctx:SqlBaseParser.CommentTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#refreshTable. + def visitRefreshTable(self, ctx:SqlBaseParser.RefreshTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#refreshFunction. + def visitRefreshFunction(self, ctx:SqlBaseParser.RefreshFunctionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#refreshResource. + def visitRefreshResource(self, ctx:SqlBaseParser.RefreshResourceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#cacheTable. + def visitCacheTable(self, ctx:SqlBaseParser.CacheTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#uncacheTable. + def visitUncacheTable(self, ctx:SqlBaseParser.UncacheTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#clearCache. + def visitClearCache(self, ctx:SqlBaseParser.ClearCacheContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#loadData. + def visitLoadData(self, ctx:SqlBaseParser.LoadDataContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#truncateTable. + def visitTruncateTable(self, ctx:SqlBaseParser.TruncateTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#repairTable. + def visitRepairTable(self, ctx:SqlBaseParser.RepairTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#manageResource. + def visitManageResource(self, ctx:SqlBaseParser.ManageResourceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#failNativeCommand. + def visitFailNativeCommand(self, ctx:SqlBaseParser.FailNativeCommandContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setTimeZone. + def visitSetTimeZone(self, ctx:SqlBaseParser.SetTimeZoneContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setQuotedConfiguration. + def visitSetQuotedConfiguration(self, ctx:SqlBaseParser.SetQuotedConfigurationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setConfiguration. + def visitSetConfiguration(self, ctx:SqlBaseParser.SetConfigurationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#resetQuotedConfiguration. + def visitResetQuotedConfiguration(self, ctx:SqlBaseParser.ResetQuotedConfigurationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#resetConfiguration. + def visitResetConfiguration(self, ctx:SqlBaseParser.ResetConfigurationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createIndex. + def visitCreateIndex(self, ctx:SqlBaseParser.CreateIndexContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dropIndex. + def visitDropIndex(self, ctx:SqlBaseParser.DropIndexContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#timezone. + def visitTimezone(self, ctx:SqlBaseParser.TimezoneContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#configKey. + def visitConfigKey(self, ctx:SqlBaseParser.ConfigKeyContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#configValue. + def visitConfigValue(self, ctx:SqlBaseParser.ConfigValueContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unsupportedHiveNativeCommands. + def visitUnsupportedHiveNativeCommands(self, ctx:SqlBaseParser.UnsupportedHiveNativeCommandsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createTableHeader. + def visitCreateTableHeader(self, ctx:SqlBaseParser.CreateTableHeaderContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#replaceTableHeader. + def visitReplaceTableHeader(self, ctx:SqlBaseParser.ReplaceTableHeaderContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#bucketSpec. + def visitBucketSpec(self, ctx:SqlBaseParser.BucketSpecContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#skewSpec. + def visitSkewSpec(self, ctx:SqlBaseParser.SkewSpecContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#locationSpec. + def visitLocationSpec(self, ctx:SqlBaseParser.LocationSpecContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#commentSpec. + def visitCommentSpec(self, ctx:SqlBaseParser.CommentSpecContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#insertOverwriteTable. + def visitInsertOverwriteTable(self, ctx:SqlBaseParser.InsertOverwriteTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#insertIntoTable. + def visitInsertIntoTable(self, ctx:SqlBaseParser.InsertIntoTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#insertIntoReplaceWhere. + def visitInsertIntoReplaceWhere(self, ctx:SqlBaseParser.InsertIntoReplaceWhereContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#insertOverwriteHiveDir. + def visitInsertOverwriteHiveDir(self, ctx:SqlBaseParser.InsertOverwriteHiveDirContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#insertOverwriteDir. + def visitInsertOverwriteDir(self, ctx:SqlBaseParser.InsertOverwriteDirContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#partitionSpecLocation. + def visitPartitionSpecLocation(self, ctx:SqlBaseParser.PartitionSpecLocationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#partitionSpec. + def visitPartitionSpec(self, ctx:SqlBaseParser.PartitionSpecContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#partitionVal. + def visitPartitionVal(self, ctx:SqlBaseParser.PartitionValContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#namespace. + def visitNamespace(self, ctx:SqlBaseParser.NamespaceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#namespaces. + def visitNamespaces(self, ctx:SqlBaseParser.NamespacesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#describeFuncName. + def visitDescribeFuncName(self, ctx:SqlBaseParser.DescribeFuncNameContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#describeColName. + def visitDescribeColName(self, ctx:SqlBaseParser.DescribeColNameContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#ctes. + def visitCtes(self, ctx:SqlBaseParser.CtesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#query. + def visitQuery(self, ctx:SqlBaseParser.QueryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#namedQuery. + def visitNamedQuery(self, ctx:SqlBaseParser.NamedQueryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#queryTermDefault. + def visitQueryTermDefault(self, ctx:SqlBaseParser.QueryTermDefaultContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setOperation. + def visitSetOperation(self, ctx:SqlBaseParser.SetOperationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#transformQuerySpecification. + def visitTransformQuerySpecification(self, ctx:SqlBaseParser.TransformQuerySpecificationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#regularQuerySpecification. + def visitRegularQuerySpecification(self, ctx:SqlBaseParser.RegularQuerySpecificationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#queryPrimaryDefault. + def visitQueryPrimaryDefault(self, ctx:SqlBaseParser.QueryPrimaryDefaultContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#fromStmt. + def visitFromStmt(self, ctx:SqlBaseParser.FromStmtContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#table. + def visitTable(self, ctx:SqlBaseParser.TableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#inlineTableDefault1. + def visitInlineTableDefault1(self, ctx:SqlBaseParser.InlineTableDefault1Context): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#subquery. + def visitSubquery(self, ctx:SqlBaseParser.SubqueryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#tableProvider. + def visitTableProvider(self, ctx:SqlBaseParser.TableProviderContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createTableClauses. + def visitCreateTableClauses(self, ctx:SqlBaseParser.CreateTableClausesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#propertyList. + def visitPropertyList(self, ctx:SqlBaseParser.PropertyListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#property. + def visitProperty(self, ctx:SqlBaseParser.PropertyContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#propertyKey. + def visitPropertyKey(self, ctx:SqlBaseParser.PropertyKeyContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#propertyValue. + def visitPropertyValue(self, ctx:SqlBaseParser.PropertyValueContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#constantList. + def visitConstantList(self, ctx:SqlBaseParser.ConstantListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#nestedConstantList. + def visitNestedConstantList(self, ctx:SqlBaseParser.NestedConstantListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createFileFormat. + def visitCreateFileFormat(self, ctx:SqlBaseParser.CreateFileFormatContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#tableFileFormat. + def visitTableFileFormat(self, ctx:SqlBaseParser.TableFileFormatContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#genericFileFormat. + def visitGenericFileFormat(self, ctx:SqlBaseParser.GenericFileFormatContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#storageHandler. + def visitStorageHandler(self, ctx:SqlBaseParser.StorageHandlerContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#resource. + def visitResource(self, ctx:SqlBaseParser.ResourceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#singleInsertQuery. + def visitSingleInsertQuery(self, ctx:SqlBaseParser.SingleInsertQueryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#multiInsertQuery. + def visitMultiInsertQuery(self, ctx:SqlBaseParser.MultiInsertQueryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#deleteFromTable. + def visitDeleteFromTable(self, ctx:SqlBaseParser.DeleteFromTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#updateTable. + def visitUpdateTable(self, ctx:SqlBaseParser.UpdateTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#mergeIntoTable. + def visitMergeIntoTable(self, ctx:SqlBaseParser.MergeIntoTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#queryOrganization. + def visitQueryOrganization(self, ctx:SqlBaseParser.QueryOrganizationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#multiInsertQueryBody. + def visitMultiInsertQueryBody(self, ctx:SqlBaseParser.MultiInsertQueryBodyContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#sortItem. + def visitSortItem(self, ctx:SqlBaseParser.SortItemContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#fromStatement. + def visitFromStatement(self, ctx:SqlBaseParser.FromStatementContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#fromStatementBody. + def visitFromStatementBody(self, ctx:SqlBaseParser.FromStatementBodyContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#transformClause. + def visitTransformClause(self, ctx:SqlBaseParser.TransformClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#selectClause. + def visitSelectClause(self, ctx:SqlBaseParser.SelectClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setClause. + def visitSetClause(self, ctx:SqlBaseParser.SetClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#matchedClause. + def visitMatchedClause(self, ctx:SqlBaseParser.MatchedClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#notMatchedClause. + def visitNotMatchedClause(self, ctx:SqlBaseParser.NotMatchedClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#notMatchedBySourceClause. + def visitNotMatchedBySourceClause(self, ctx:SqlBaseParser.NotMatchedBySourceClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#matchedAction. + def visitMatchedAction(self, ctx:SqlBaseParser.MatchedActionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#notMatchedAction. + def visitNotMatchedAction(self, ctx:SqlBaseParser.NotMatchedActionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#notMatchedBySourceAction. + def visitNotMatchedBySourceAction(self, ctx:SqlBaseParser.NotMatchedBySourceActionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#assignmentList. + def visitAssignmentList(self, ctx:SqlBaseParser.AssignmentListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#assignment. + def visitAssignment(self, ctx:SqlBaseParser.AssignmentContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#whereClause. + def visitWhereClause(self, ctx:SqlBaseParser.WhereClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#havingClause. + def visitHavingClause(self, ctx:SqlBaseParser.HavingClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#hint. + def visitHint(self, ctx:SqlBaseParser.HintContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#hintStatement. + def visitHintStatement(self, ctx:SqlBaseParser.HintStatementContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#fromClause. + def visitFromClause(self, ctx:SqlBaseParser.FromClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#temporalClause. + def visitTemporalClause(self, ctx:SqlBaseParser.TemporalClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#aggregationClause. + def visitAggregationClause(self, ctx:SqlBaseParser.AggregationClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#groupByClause. + def visitGroupByClause(self, ctx:SqlBaseParser.GroupByClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#groupingAnalytics. + def visitGroupingAnalytics(self, ctx:SqlBaseParser.GroupingAnalyticsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#groupingElement. + def visitGroupingElement(self, ctx:SqlBaseParser.GroupingElementContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#groupingSet. + def visitGroupingSet(self, ctx:SqlBaseParser.GroupingSetContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#pivotClause. + def visitPivotClause(self, ctx:SqlBaseParser.PivotClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#pivotColumn. + def visitPivotColumn(self, ctx:SqlBaseParser.PivotColumnContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#pivotValue. + def visitPivotValue(self, ctx:SqlBaseParser.PivotValueContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotClause. + def visitUnpivotClause(self, ctx:SqlBaseParser.UnpivotClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotNullClause. + def visitUnpivotNullClause(self, ctx:SqlBaseParser.UnpivotNullClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotOperator. + def visitUnpivotOperator(self, ctx:SqlBaseParser.UnpivotOperatorContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotSingleValueColumnClause. + def visitUnpivotSingleValueColumnClause(self, ctx:SqlBaseParser.UnpivotSingleValueColumnClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotMultiValueColumnClause. + def visitUnpivotMultiValueColumnClause(self, ctx:SqlBaseParser.UnpivotMultiValueColumnClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotColumnSet. + def visitUnpivotColumnSet(self, ctx:SqlBaseParser.UnpivotColumnSetContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotValueColumn. + def visitUnpivotValueColumn(self, ctx:SqlBaseParser.UnpivotValueColumnContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotNameColumn. + def visitUnpivotNameColumn(self, ctx:SqlBaseParser.UnpivotNameColumnContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotColumnAndAlias. + def visitUnpivotColumnAndAlias(self, ctx:SqlBaseParser.UnpivotColumnAndAliasContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotColumn. + def visitUnpivotColumn(self, ctx:SqlBaseParser.UnpivotColumnContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unpivotAlias. + def visitUnpivotAlias(self, ctx:SqlBaseParser.UnpivotAliasContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#lateralView. + def visitLateralView(self, ctx:SqlBaseParser.LateralViewContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#setQuantifier. + def visitSetQuantifier(self, ctx:SqlBaseParser.SetQuantifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#relation. + def visitRelation(self, ctx:SqlBaseParser.RelationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#relationExtension. + def visitRelationExtension(self, ctx:SqlBaseParser.RelationExtensionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#joinRelation. + def visitJoinRelation(self, ctx:SqlBaseParser.JoinRelationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#joinType. + def visitJoinType(self, ctx:SqlBaseParser.JoinTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#joinCriteria. + def visitJoinCriteria(self, ctx:SqlBaseParser.JoinCriteriaContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#sample. + def visitSample(self, ctx:SqlBaseParser.SampleContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#sampleByPercentile. + def visitSampleByPercentile(self, ctx:SqlBaseParser.SampleByPercentileContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#sampleByRows. + def visitSampleByRows(self, ctx:SqlBaseParser.SampleByRowsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#sampleByBucket. + def visitSampleByBucket(self, ctx:SqlBaseParser.SampleByBucketContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#sampleByBytes. + def visitSampleByBytes(self, ctx:SqlBaseParser.SampleByBytesContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#identifierList. + def visitIdentifierList(self, ctx:SqlBaseParser.IdentifierListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#identifierSeq. + def visitIdentifierSeq(self, ctx:SqlBaseParser.IdentifierSeqContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#orderedIdentifierList. + def visitOrderedIdentifierList(self, ctx:SqlBaseParser.OrderedIdentifierListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#orderedIdentifier. + def visitOrderedIdentifier(self, ctx:SqlBaseParser.OrderedIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#identifierCommentList. + def visitIdentifierCommentList(self, ctx:SqlBaseParser.IdentifierCommentListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#identifierComment. + def visitIdentifierComment(self, ctx:SqlBaseParser.IdentifierCommentContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#tableName. + def visitTableName(self, ctx:SqlBaseParser.TableNameContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#aliasedQuery. + def visitAliasedQuery(self, ctx:SqlBaseParser.AliasedQueryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#aliasedRelation. + def visitAliasedRelation(self, ctx:SqlBaseParser.AliasedRelationContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#inlineTableDefault2. + def visitInlineTableDefault2(self, ctx:SqlBaseParser.InlineTableDefault2Context): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#tableValuedFunction. + def visitTableValuedFunction(self, ctx:SqlBaseParser.TableValuedFunctionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#inlineTable. + def visitInlineTable(self, ctx:SqlBaseParser.InlineTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#functionTable. + def visitFunctionTable(self, ctx:SqlBaseParser.FunctionTableContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#tableAlias. + def visitTableAlias(self, ctx:SqlBaseParser.TableAliasContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#rowFormatSerde. + def visitRowFormatSerde(self, ctx:SqlBaseParser.RowFormatSerdeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#rowFormatDelimited. + def visitRowFormatDelimited(self, ctx:SqlBaseParser.RowFormatDelimitedContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#multipartIdentifierList. + def visitMultipartIdentifierList(self, ctx:SqlBaseParser.MultipartIdentifierListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#multipartIdentifier. + def visitMultipartIdentifier(self, ctx:SqlBaseParser.MultipartIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#multipartIdentifierPropertyList. + def visitMultipartIdentifierPropertyList(self, ctx:SqlBaseParser.MultipartIdentifierPropertyListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#multipartIdentifierProperty. + def visitMultipartIdentifierProperty(self, ctx:SqlBaseParser.MultipartIdentifierPropertyContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#tableIdentifier. + def visitTableIdentifier(self, ctx:SqlBaseParser.TableIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#functionIdentifier. + def visitFunctionIdentifier(self, ctx:SqlBaseParser.FunctionIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#namedExpression. + def visitNamedExpression(self, ctx:SqlBaseParser.NamedExpressionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#namedExpressionSeq. + def visitNamedExpressionSeq(self, ctx:SqlBaseParser.NamedExpressionSeqContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#partitionFieldList. + def visitPartitionFieldList(self, ctx:SqlBaseParser.PartitionFieldListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#partitionTransform. + def visitPartitionTransform(self, ctx:SqlBaseParser.PartitionTransformContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#partitionColumn. + def visitPartitionColumn(self, ctx:SqlBaseParser.PartitionColumnContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#identityTransform. + def visitIdentityTransform(self, ctx:SqlBaseParser.IdentityTransformContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#applyTransform. + def visitApplyTransform(self, ctx:SqlBaseParser.ApplyTransformContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#transformArgument. + def visitTransformArgument(self, ctx:SqlBaseParser.TransformArgumentContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#expression. + def visitExpression(self, ctx:SqlBaseParser.ExpressionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#expressionSeq. + def visitExpressionSeq(self, ctx:SqlBaseParser.ExpressionSeqContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#logicalNot. + def visitLogicalNot(self, ctx:SqlBaseParser.LogicalNotContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#predicated. + def visitPredicated(self, ctx:SqlBaseParser.PredicatedContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#exists. + def visitExists(self, ctx:SqlBaseParser.ExistsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#logicalBinary. + def visitLogicalBinary(self, ctx:SqlBaseParser.LogicalBinaryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#predicate. + def visitPredicate(self, ctx:SqlBaseParser.PredicateContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#valueExpressionDefault. + def visitValueExpressionDefault(self, ctx:SqlBaseParser.ValueExpressionDefaultContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#comparison. + def visitComparison(self, ctx:SqlBaseParser.ComparisonContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#arithmeticBinary. + def visitArithmeticBinary(self, ctx:SqlBaseParser.ArithmeticBinaryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#arithmeticUnary. + def visitArithmeticUnary(self, ctx:SqlBaseParser.ArithmeticUnaryContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#datetimeUnit. + def visitDatetimeUnit(self, ctx:SqlBaseParser.DatetimeUnitContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#struct. + def visitStruct(self, ctx:SqlBaseParser.StructContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dereference. + def visitDereference(self, ctx:SqlBaseParser.DereferenceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#timestampadd. + def visitTimestampadd(self, ctx:SqlBaseParser.TimestampaddContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#substring. + def visitSubstring(self, ctx:SqlBaseParser.SubstringContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#cast. + def visitCast(self, ctx:SqlBaseParser.CastContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#lambda. + def visitLambda(self, ctx:SqlBaseParser.LambdaContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#parenthesizedExpression. + def visitParenthesizedExpression(self, ctx:SqlBaseParser.ParenthesizedExpressionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#any_value. + def visitAny_value(self, ctx:SqlBaseParser.Any_valueContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#trim. + def visitTrim(self, ctx:SqlBaseParser.TrimContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#simpleCase. + def visitSimpleCase(self, ctx:SqlBaseParser.SimpleCaseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#currentLike. + def visitCurrentLike(self, ctx:SqlBaseParser.CurrentLikeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#columnReference. + def visitColumnReference(self, ctx:SqlBaseParser.ColumnReferenceContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#rowConstructor. + def visitRowConstructor(self, ctx:SqlBaseParser.RowConstructorContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#last. + def visitLast(self, ctx:SqlBaseParser.LastContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#star. + def visitStar(self, ctx:SqlBaseParser.StarContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#overlay. + def visitOverlay(self, ctx:SqlBaseParser.OverlayContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#subscript. + def visitSubscript(self, ctx:SqlBaseParser.SubscriptContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#timestampdiff. + def visitTimestampdiff(self, ctx:SqlBaseParser.TimestampdiffContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#subqueryExpression. + def visitSubqueryExpression(self, ctx:SqlBaseParser.SubqueryExpressionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#constantDefault. + def visitConstantDefault(self, ctx:SqlBaseParser.ConstantDefaultContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#extract. + def visitExtract(self, ctx:SqlBaseParser.ExtractContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#percentile. + def visitPercentile(self, ctx:SqlBaseParser.PercentileContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#functionCall. + def visitFunctionCall(self, ctx:SqlBaseParser.FunctionCallContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#searchedCase. + def visitSearchedCase(self, ctx:SqlBaseParser.SearchedCaseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#position. + def visitPosition(self, ctx:SqlBaseParser.PositionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#first. + def visitFirst(self, ctx:SqlBaseParser.FirstContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#nullLiteral. + def visitNullLiteral(self, ctx:SqlBaseParser.NullLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#parameterLiteral. + def visitParameterLiteral(self, ctx:SqlBaseParser.ParameterLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#intervalLiteral. + def visitIntervalLiteral(self, ctx:SqlBaseParser.IntervalLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#typeConstructor. + def visitTypeConstructor(self, ctx:SqlBaseParser.TypeConstructorContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#numericLiteral. + def visitNumericLiteral(self, ctx:SqlBaseParser.NumericLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#booleanLiteral. + def visitBooleanLiteral(self, ctx:SqlBaseParser.BooleanLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#stringLiteral. + def visitStringLiteral(self, ctx:SqlBaseParser.StringLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#comparisonOperator. + def visitComparisonOperator(self, ctx:SqlBaseParser.ComparisonOperatorContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#arithmeticOperator. + def visitArithmeticOperator(self, ctx:SqlBaseParser.ArithmeticOperatorContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#predicateOperator. + def visitPredicateOperator(self, ctx:SqlBaseParser.PredicateOperatorContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#booleanValue. + def visitBooleanValue(self, ctx:SqlBaseParser.BooleanValueContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#interval. + def visitInterval(self, ctx:SqlBaseParser.IntervalContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#errorCapturingMultiUnitsInterval. + def visitErrorCapturingMultiUnitsInterval(self, ctx:SqlBaseParser.ErrorCapturingMultiUnitsIntervalContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#multiUnitsInterval. + def visitMultiUnitsInterval(self, ctx:SqlBaseParser.MultiUnitsIntervalContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#errorCapturingUnitToUnitInterval. + def visitErrorCapturingUnitToUnitInterval(self, ctx:SqlBaseParser.ErrorCapturingUnitToUnitIntervalContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unitToUnitInterval. + def visitUnitToUnitInterval(self, ctx:SqlBaseParser.UnitToUnitIntervalContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#intervalValue. + def visitIntervalValue(self, ctx:SqlBaseParser.IntervalValueContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unitInMultiUnits. + def visitUnitInMultiUnits(self, ctx:SqlBaseParser.UnitInMultiUnitsContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unitInUnitToUnit. + def visitUnitInUnitToUnit(self, ctx:SqlBaseParser.UnitInUnitToUnitContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#colPosition. + def visitColPosition(self, ctx:SqlBaseParser.ColPositionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#complexDataType. + def visitComplexDataType(self, ctx:SqlBaseParser.ComplexDataTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#yearMonthIntervalDataType. + def visitYearMonthIntervalDataType(self, ctx:SqlBaseParser.YearMonthIntervalDataTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#dayTimeIntervalDataType. + def visitDayTimeIntervalDataType(self, ctx:SqlBaseParser.DayTimeIntervalDataTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#primitiveDataType. + def visitPrimitiveDataType(self, ctx:SqlBaseParser.PrimitiveDataTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#qualifiedColTypeWithPositionList. + def visitQualifiedColTypeWithPositionList(self, ctx:SqlBaseParser.QualifiedColTypeWithPositionListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#qualifiedColTypeWithPosition. + def visitQualifiedColTypeWithPosition(self, ctx:SqlBaseParser.QualifiedColTypeWithPositionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#colDefinitionDescriptorWithPosition. + def visitColDefinitionDescriptorWithPosition(self, ctx:SqlBaseParser.ColDefinitionDescriptorWithPositionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#defaultExpression. + def visitDefaultExpression(self, ctx:SqlBaseParser.DefaultExpressionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#colTypeList. + def visitColTypeList(self, ctx:SqlBaseParser.ColTypeListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#colType. + def visitColType(self, ctx:SqlBaseParser.ColTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createOrReplaceTableColTypeList. + def visitCreateOrReplaceTableColTypeList(self, ctx:SqlBaseParser.CreateOrReplaceTableColTypeListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#createOrReplaceTableColType. + def visitCreateOrReplaceTableColType(self, ctx:SqlBaseParser.CreateOrReplaceTableColTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#colDefinitionOption. + def visitColDefinitionOption(self, ctx:SqlBaseParser.ColDefinitionOptionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#generationExpression. + def visitGenerationExpression(self, ctx:SqlBaseParser.GenerationExpressionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#complexColTypeList. + def visitComplexColTypeList(self, ctx:SqlBaseParser.ComplexColTypeListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#complexColType. + def visitComplexColType(self, ctx:SqlBaseParser.ComplexColTypeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#whenClause. + def visitWhenClause(self, ctx:SqlBaseParser.WhenClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#windowClause. + def visitWindowClause(self, ctx:SqlBaseParser.WindowClauseContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#namedWindow. + def visitNamedWindow(self, ctx:SqlBaseParser.NamedWindowContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#windowRef. + def visitWindowRef(self, ctx:SqlBaseParser.WindowRefContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#windowDef. + def visitWindowDef(self, ctx:SqlBaseParser.WindowDefContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#windowFrame. + def visitWindowFrame(self, ctx:SqlBaseParser.WindowFrameContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#frameBound. + def visitFrameBound(self, ctx:SqlBaseParser.FrameBoundContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#qualifiedNameList. + def visitQualifiedNameList(self, ctx:SqlBaseParser.QualifiedNameListContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#functionName. + def visitFunctionName(self, ctx:SqlBaseParser.FunctionNameContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#qualifiedName. + def visitQualifiedName(self, ctx:SqlBaseParser.QualifiedNameContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#errorCapturingIdentifier. + def visitErrorCapturingIdentifier(self, ctx:SqlBaseParser.ErrorCapturingIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#errorIdent. + def visitErrorIdent(self, ctx:SqlBaseParser.ErrorIdentContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#realIdent. + def visitRealIdent(self, ctx:SqlBaseParser.RealIdentContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#identifier. + def visitIdentifier(self, ctx:SqlBaseParser.IdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#unquotedIdentifier. + def visitUnquotedIdentifier(self, ctx:SqlBaseParser.UnquotedIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#quotedIdentifierAlternative. + def visitQuotedIdentifierAlternative(self, ctx:SqlBaseParser.QuotedIdentifierAlternativeContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#quotedIdentifier. + def visitQuotedIdentifier(self, ctx:SqlBaseParser.QuotedIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#backQuotedIdentifier. + def visitBackQuotedIdentifier(self, ctx:SqlBaseParser.BackQuotedIdentifierContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#exponentLiteral. + def visitExponentLiteral(self, ctx:SqlBaseParser.ExponentLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#decimalLiteral. + def visitDecimalLiteral(self, ctx:SqlBaseParser.DecimalLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#legacyDecimalLiteral. + def visitLegacyDecimalLiteral(self, ctx:SqlBaseParser.LegacyDecimalLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#integerLiteral. + def visitIntegerLiteral(self, ctx:SqlBaseParser.IntegerLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#bigIntLiteral. + def visitBigIntLiteral(self, ctx:SqlBaseParser.BigIntLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#smallIntLiteral. + def visitSmallIntLiteral(self, ctx:SqlBaseParser.SmallIntLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#tinyIntLiteral. + def visitTinyIntLiteral(self, ctx:SqlBaseParser.TinyIntLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#doubleLiteral. + def visitDoubleLiteral(self, ctx:SqlBaseParser.DoubleLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#floatLiteral. + def visitFloatLiteral(self, ctx:SqlBaseParser.FloatLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#bigDecimalLiteral. + def visitBigDecimalLiteral(self, ctx:SqlBaseParser.BigDecimalLiteralContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#alterColumnAction. + def visitAlterColumnAction(self, ctx:SqlBaseParser.AlterColumnActionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#stringLit. + def visitStringLit(self, ctx:SqlBaseParser.StringLitContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#comment. + def visitComment(self, ctx:SqlBaseParser.CommentContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#version. + def visitVersion(self, ctx:SqlBaseParser.VersionContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#ansiNonReserved. + def visitAnsiNonReserved(self, ctx:SqlBaseParser.AnsiNonReservedContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#strictNonReserved. + def visitStrictNonReserved(self, ctx:SqlBaseParser.StrictNonReservedContext): + return self.visitChildren(ctx) + + + # Visit a parse tree produced by SqlBaseParser#nonReserved. + def visitNonReserved(self, ctx:SqlBaseParser.NonReservedContext): + return self.visitChildren(ctx) + + + +del SqlBaseParser \ No newline at end of file diff --git a/datajunction-server/datajunction_server/sql/parsing/types.py b/datajunction-server/datajunction_server/sql/parsing/types.py new file mode 100644 index 000000000..6ef5b7ced --- /dev/null +++ b/datajunction-server/datajunction_server/sql/parsing/types.py @@ -0,0 +1,891 @@ +"""DJ Column Types + + Example: + >>> StructType( \ + NestedField("required_field", StringType(), False, "a required field"), \ + NestedField("optional_field", IntegerType(), True, "an optional field") \ + ) + StructType(NestedField(name=Name(name='required_field', quote_style='', namespace=None), \ +field_type=StringType(), is_optional=False, doc='a required field'), \ +NestedField(name=Name(name='optional_field', quote_style='', namespace=None), \ +field_type=IntegerType(), is_optional=True, doc='an optional field')) + +""" + +import re +from typing import ( + TYPE_CHECKING, + Any, + ClassVar, + Dict, + Optional, + Tuple, + cast, + Callable, +) +from datajunction_server.enum import StrEnum + +from pydantic import BaseModel, ConfigDict + +AnyCallable = Callable[..., Any] + +if TYPE_CHECKING: + from datajunction_server.sql.parsing import ast + + +DECIMAL_REGEX = re.compile(r"(?i)decimal\((?P\d+),\s*(?P\d+)\)") +FIXED_PARSER = re.compile(r"(?i)fixed\((?P\d+)\)") +VARCHAR_PARSER = re.compile(r"(?i)varchar(\((?P\d+)\))?") + +# Singleton caching disabled for Pydantic v2 compatibility +# The singleton pattern causes issues with Pydantic v2's BaseModel initialization, +# particularly when running tests in parallel (pytest-xdist). +# Types are simple immutable objects, so creating new instances is acceptable. + + +class Singleton: + """ + Singleton pattern - DISABLED for Pydantic v2 compatibility. + + This class is kept for backwards compatibility but no longer enforces singleton behavior. + Each call to a type constructor now creates a new instance. + """ + + def __new__(cls, *args, **kwargs): + # Always create a new instance (singleton disabled) + return super(Singleton, cls).__new__(cls) + + +class ColumnType(BaseModel): + """ + Base type for all Column Types + """ + + _initialized = False + + model_config = ConfigDict(extra="allow", arbitrary_types_allowed=True) + + def __init__( + self, + type_string: str, + repr_string: str = None, + *args, + **kwargs, + ): + super().__init__(*args, **kwargs) + object.__setattr__(self, "_type_string", type_string) + object.__setattr__( + self, + "_repr_string", + repr_string if repr_string else type_string, + ) + object.__setattr__(self, "_initialized", True) + + def __repr__(self): + return self._repr_string + + def __str__(self): + return self._type_string + + def __deepcopy__(self, memo): + return self + + @classmethod + def validate( + cls, + v: Any, + ) -> "ColumnType": + """ + Parses the column type + """ + from datajunction_server.sql.parsing.backends.antlr4 import parse_rule + + return cast(ColumnType, parse_rule(str(v), "dataType")) + + def __eq__(self, other: "ColumnType"): # type: ignore + """ + Equality is dependent on the string representation of the column type. + """ + return str(other) == str(self) + + def __hash__(self): + """ + Equality is dependent on the string representation of the column type. + """ + return hash(str(self)) + + def is_compatible(self, other: "ColumnType") -> bool: + """ + Returns whether the two types are compatible with each other by + checking their ancestors. + """ + if self == NullType() or other == NullType() or self == other: + return True # quick return + + def has_common_ancestor(type1, type2) -> bool: + """ + Helper function to check whether two column types have common ancestors, + other than the highest-level ancestor types like ColumnType itself. This + determines whether they're part of the same type group and are compatible + with each other when performing type compatibility checks. + + Uses MRO (Method Resolution Order) to find all ancestors of both types + and checks for meaningful common ancestors. + """ + base_types = {ColumnType, Singleton, PrimitiveType, object} + # Get meaningful ancestors from MRO, excluding base types + ancestors1 = {cls for cls in type1.__mro__ if cls not in base_types} + ancestors2 = {cls for cls in type2.__mro__ if cls not in base_types} + # Check for common ancestors (excluding the types themselves and BaseModel) + common = ancestors1 & ancestors2 + # Filter out non-type-related classes like BaseModel + meaningful_common = { + cls + for cls in common + if cls.__module__.startswith("datajunction_server") + } + return bool(meaningful_common) + + return has_common_ancestor(self.__class__, other.__class__) + + +class PrimitiveType(ColumnType): + """Base class for all Column Primitive Types""" + + +class NumberType(PrimitiveType): + """Base class for all Column Number Types""" + + +class NullType(PrimitiveType, Singleton): + """A data type for NULL + + Example: + >>> NullType() + NullType() + """ + + def __init__(self): + super().__init__("NULL", "NullType()") + + +class FixedType(PrimitiveType): + """A fixed data type. + + Example: + >>> FixedType(8) + FixedType(length=8) + >>> FixedType(8)==FixedType(8) + True + """ + + def __init__(self, length: int): + super().__init__(f"fixed({length})", f"FixedType(length={length})") + object.__setattr__(self, "_length", length) + + @property + def length(self) -> int: # pragma: no cover + """ + The length of the fixed type + """ + return self._length + + +class LambdaType(ColumnType): + """ + Type representing a lambda function + """ + + +class DecimalType(NumberType): + """A fixed data type. + + Example: + >>> DecimalType(32, 3) + DecimalType(precision=32, scale=3) + >>> DecimalType(8, 3)==DecimalType(8, 3) + True + """ + + max_precision: ClassVar[int] = 38 + max_scale: ClassVar[int] = 38 + + def __init__(self, precision: int, scale: int): + super().__init__( + f"decimal({precision}, {scale})", + f"DecimalType(precision={precision}, scale={scale})", + ) + object.__setattr__( + self, + "_precision", + min(precision, DecimalType.max_precision), + ) + object.__setattr__(self, "_scale", min(scale, DecimalType.max_scale)) + + @property + def precision(self) -> int: # pragma: no cover + """ + Decimal's precision + """ + return self._precision + + @property + def scale(self) -> int: # pragma: no cover + """ + Decimal's scale + """ + return self._scale + + +class NestedField(ColumnType): + """Represents a field of a struct, a map key, a map value, or a list element. + + This is where field IDs, names, docs, and nullability are tracked. + """ + + def __init__( + self, + name: "ast.Name", + field_type: ColumnType, + is_optional: bool = True, + doc: Optional[str] = None, + ): + if isinstance(name, str): # pragma: no cover + from datajunction_server.sql.parsing.ast import Name + + name_str = name + name_obj = Name(name_str) + else: + name_str = name.name + name_obj = name + + doc_string = "" if doc is None else f", doc={repr(doc)}" + super().__init__( + ( + f"{name_str} {field_type}" + f"{' NOT NULL' if not is_optional else ''}" + + ("" if doc is None else f" {doc}") + ), + f"NestedField(name={repr(name_obj)}, " + f"field_type={repr(field_type)}, " + f"is_optional={is_optional}" + f"{doc_string})", + ) + object.__setattr__(self, "_is_optional", is_optional) + object.__setattr__(self, "_name", name_obj) + object.__setattr__(self, "_type", field_type) + object.__setattr__(self, "_doc", doc) + + @property + def is_optional(self) -> bool: + """ + Whether the field is optional + """ + return self._is_optional # pragma: no cover + + @property + def is_required(self) -> bool: + """ + Whether the field is required + """ + return not self._is_optional # pragma: no cover + + @property + def name(self) -> "ast.Name": + """ + The name of the field + """ + return self._name + + @property + def doc(self) -> Optional[str]: + """ + The docstring of the field + """ + return self._doc # pragma: no cover + + @property + def type(self) -> ColumnType: + """ + The field's type + """ + return self._type + + def __reduce__(self): # pragma: no cover + """ + Custom method for pickling. + Returns a tuple of (callable, args) to recreate the object. + """ + return (self.__class__, (self._name, self._type, self.is_optional, self.doc)) + + +class StructType(ColumnType): + """A struct type + + Example: + >>> StructType( \ + NestedField("required_field", StringType(), False, "a required field"), \ + NestedField("optional_field", IntegerType(), True, "an optional field") \ + ) + StructType(NestedField(name=Name(name='required_field', quote_style='', namespace=None), \ +field_type=StringType(), is_optional=False, doc='a required field'), \ +NestedField(name=Name(name='optional_field', quote_style='', namespace=None), \ +field_type=IntegerType(), is_optional=True, doc='an optional field')) + """ + + def __init__(self, *fields: NestedField): + super().__init__( + f"struct<{','.join(map(str, fields))}>", + f"StructType{repr(fields)}", + ) + object.__setattr__(self, "_fields", fields) + + @property + def fields(self) -> Tuple[NestedField, ...]: + """ + Returns the struct's fields. + """ + return self._fields # pragma: no cover + + @property + def fields_mapping(self) -> Dict[str, NestedField]: + """ + Returns the struct's fields. + """ + return {field.name.name: field for field in self._fields} # pragma: no cover + + +class ListType(ColumnType): + """A list type + + Example: + >>> ListType(element_type=StringType()) + ListType(element_type=StringType()) + """ + + def __reduce__(self): + """ + Custom method for pickling. + Returns a tuple of (callable, args) to recreate the object. + """ + return (self.__class__, (self._element_field._type,)) # pragma: no cover + + def __init__( + self, + element_type: ColumnType, + ): + super().__init__( + f"array<{element_type}>", + f"ListType(element_type={repr(element_type)})", + ) + object.__setattr__( + self, + "_element_field", + NestedField( + name="col", # type: ignore + field_type=element_type, + is_optional=False, # type: ignore + ), + ) + + @property + def element(self) -> NestedField: + """ + Returns the list's element + """ + return self._element_field + + +class MapType(ColumnType): + """A map type""" + + def __init__( + self, + key_type: ColumnType, + value_type: ColumnType, + ): + super().__init__( + f"map<{key_type}, {value_type}>", + ) + object.__setattr__( + self, + "_key_field", + NestedField( + name="key", # type: ignore + field_type=key_type, + is_optional=False, # type: ignore + ), + ) + object.__setattr__( + self, + "_value_field", + NestedField( + name="value", # type: ignore + field_type=value_type, + is_optional=False, # type: ignore + ), + ) + + @property + def key(self) -> NestedField: + """ + The map's key + """ + return self._key_field + + @property + def value(self) -> NestedField: + """ + The map's value + """ + return self._value_field + + def __reduce__(self): # pragma: no cover + """ + Custom method for pickling. + Returns a tuple of (callable, args) to recreate the object. + """ + return (self.__class__, (self._key_field._type, self._value_field._type)) + + +class BooleanType(PrimitiveType, Singleton): + """A boolean data type can be represented using an instance of this class. + + Example: + >>> column_foo = BooleanType() + >>> isinstance(column_foo, BooleanType) + True + """ + + def __init__(self): + super().__init__("boolean", "BooleanType()") + + +class IntegerBase(NumberType, Singleton): + """Base class for all integer types""" + + max: ClassVar[int] + min: ClassVar[int] + + def check_bounds(self, value: int) -> bool: + """ + Check whether a value fits within the Integer min and max + """ + return self.__class__.min < value < self.__class__.max + + +class IntegerType(IntegerBase): + """An Integer data type can be represented using an instance of this class. Integers are + 32-bit signed and can be promoted to Longs. + + Example: + >>> column_foo = IntegerType() + >>> isinstance(column_foo, IntegerType) + True + + Attributes: + max (int): The maximum allowed value for Integers, inherited from the + canonical Column implementation + in Java (returns `2147483647`) + min (int): The minimum allowed value for Integers, inherited from the + canonical Column implementation + in Java (returns `-2147483648`) + """ + + max: ClassVar[int] = 2147483647 + + min: ClassVar[int] = -2147483648 + + def __init__(self): + super().__init__("int", "IntegerType()") + + +class TinyIntType(IntegerBase): + """A TinyInt data type can be represented using an instance of this class. TinyInts are + 8-bit signed integers. + + Example: + >>> column_foo = TinyIntType() + >>> isinstance(column_foo, TinyIntType) + True + + Attributes: + max (int): The maximum allowed value for TinyInts (returns `127`). + min (int): The minimum allowed value for TinyInts (returns `-128`). + """ + + max: ClassVar[int] = 127 + + min: ClassVar[int] = -128 + + def __init__(self): + super().__init__("tinyint", "TinyIntType()") + + +class SmallIntType(IntegerBase): + """A SmallInt data type can be represented using an instance of this class. SmallInts are + 16-bit signed integers. + + Example: + >>> column_foo = SmallIntType() + >>> isinstance(column_foo, SmallIntType) + True + + Attributes: + max (int): The maximum allowed value for SmallInts (returns `32767`). + min (int): The minimum allowed value for SmallInts (returns `-32768`). + """ + + max: ClassVar[int] = 32767 + + min: ClassVar[int] = -32768 + + def __init__(self): + super().__init__("smallint", "SmallIntType()") + + +class BigIntType(IntegerBase): + """A Long data type can be represented using an instance of this class. Longs are + 64-bit signed integers. + + Example: + >>> column_foo = BigIntType() + >>> isinstance(column_foo, BigIntType) + True + + Attributes: + max (int): The maximum allowed value for Longs, inherited from the + canonical Column implementation + in Java. (returns `9223372036854775807`) + min (int): The minimum allowed value for Longs, inherited from the + canonical Column implementation + in Java (returns `-9223372036854775808`) + """ + + max: ClassVar[int] = 9223372036854775807 + + min: ClassVar[int] = -9223372036854775808 + + def __init__(self): + super().__init__("bigint", "BigIntType()") + + +class LongType(BigIntType): + """A Long data type can be represented using an instance of this class. Longs are + 64-bit signed integers. + + Example: + >>> column_foo = LongType() + >>> column_foo == LongType() + True + + Attributes: + max (int): The maximum allowed value for Longs, inherited from the + canonical Column implementation + in Java. (returns `9223372036854775807`) + min (int): The minimum allowed value for Longs, inherited from the + canonical Column implementation + in Java (returns `-9223372036854775808`) + """ + + def __init__(self): + # Call ColumnType.__init__ directly to set "long" instead of "bigint" + ColumnType.__init__(self, "long", "LongType()") + + +class FloatingBase(NumberType, Singleton): + """Base class for all floating types""" + + +class FloatType(FloatingBase): + """A Float data type can be represented using an instance of this class. Floats are + 32-bit IEEE 754 floating points and can be promoted to Doubles. + + Example: + >>> column_foo = FloatType() + >>> isinstance(column_foo, FloatType) + True + """ + + def __init__(self): + super().__init__("float", "FloatType()") + + +class DoubleType(FloatingBase): + """A Double data type can be represented using an instance of this class. Doubles are + 64-bit IEEE 754 floating points. + + Example: + >>> column_foo = DoubleType() + >>> isinstance(column_foo, DoubleType) + True + """ + + def __init__(self): + super().__init__("double", "DoubleType()") + + +class DateTimeBase(PrimitiveType, Singleton): + """ + Base class for date and time types. + """ + + class Unit(StrEnum): + """ + Units used for date and time functions and intervals + """ + + dayofyear = "DAYOFYEAR" + year = "YEAR" + day = "DAY" + microsecond = "MICROSECOND" + month = "MONTH" + week = "WEEK" + minute = "MINUTE" + second = "SECOND" + quarter = "QUARTER" + hour = "HOUR" + millisecond = "MILLISECOND" + + +class DateType(DateTimeBase): + """A Date data type can be represented using an instance of this class. Dates are + calendar dates without a timezone or time. + + Example: + >>> column_foo = DateType() + >>> isinstance(column_foo, DateType) + True + """ + + def __init__(self): + super().__init__("date", "DateType()") + + +class TimeType(DateTimeBase): + """A Time data type can be represented using an instance of this class. Times + have microsecond precision and are a time of day without a date or timezone. + + Example: + >>> column_foo = TimeType() + >>> isinstance(column_foo, TimeType) + True + """ + + def __init__(self): + super().__init__("time", "TimeType()") + + +class TimestampType(DateTimeBase): + """A Timestamp data type can be represented using an instance of this class. Timestamps in + Column have microsecond precision and include a date and a time of day without a timezone. + + Example: + >>> column_foo = TimestampType() + >>> isinstance(column_foo, TimestampType) + True + """ + + def __init__(self): + super().__init__("timestamp", "TimestampType()") + + +class TimestamptzType(PrimitiveType, Singleton): + """A Timestamptz data type can be represented using an instance of this class. Timestamptzs in + Column are stored as UTC and include a date and a time of day with a timezone. + + Example: + >>> column_foo = TimestamptzType() + >>> isinstance(column_foo, TimestamptzType) + True + """ + + def __init__(self): + super().__init__("timestamptz", "TimestamptzType()") + + +class IntervalTypeBase(PrimitiveType): + """A base class for all interval types""" + + +class DayTimeIntervalType(IntervalTypeBase): + """A DayTimeIntervalType type. + + Example: + >>> DayTimeIntervalType()==DayTimeIntervalType("DAY", "SECOND") + True + """ + + def __init__( + self, + from_: DateTimeBase.Unit = DateTimeBase.Unit.day, + to_: Optional[DateTimeBase.Unit] = DateTimeBase.Unit.second, + ): + from_ = from_.upper() # type: ignore + to_ = to_.upper() if to_ else None # type: ignore + to_str = f" TO {to_}" if to_ else "" + to_repr = f', to="{to_}"' if to_ else "" + super().__init__( + f"INTERVAL {from_}{to_str}", + f'DayTimeIntervalType(from="{from_}"{to_repr})', + ) + object.__setattr__(self, "_from", from_) + object.__setattr__(self, "_to", to_) + + @property + def from_(self) -> str: + return self._from # pragma: no cover + + @property + def to_( + self, + ) -> Optional[str]: + return self._to # pragma: no cover + + +class YearMonthIntervalType(IntervalTypeBase): + """A YearMonthIntervalType type. + + Example: + >>> YearMonthIntervalType()==YearMonthIntervalType("YEAR", "MONTH") + True + """ + + def __init__( + self, + from_: DateTimeBase.Unit = DateTimeBase.Unit.year, + to_: Optional[DateTimeBase.Unit] = DateTimeBase.Unit.month, + ): + from_ = from_.upper() # type: ignore + to_ = to_.upper() if to_ else None # type: ignore + to_str = f" TO {to_}" if to_ else "" + to_repr = f', to="{to_}"' if to_ else "" + super().__init__( + f"INTERVAL {from_}{to_str}", + f'YearMonthIntervalType(from="{from_}"{to_repr})', + ) + object.__setattr__(self, "_from", from_) + object.__setattr__(self, "_to", to_) + + @property + def from_(self) -> str: + return self._from # pragma: no cover + + @property + def to_( + self, + ) -> Optional[str]: + return self._to # pragma: no cover + + +class StringBase(PrimitiveType, Singleton): + """Base class for all string types""" + + +class StringType(StringBase): + """A String data type can be represented using an instance of this class. Strings in + Column are arbitrary-length character sequences and are encoded with UTF-8. + + Example: + >>> column_foo = StringType() + >>> isinstance(column_foo, StringType) + True + """ + + def __init__(self): + super().__init__("string", "StringType()") + + +class VarcharType(StringBase): + """A VarcharType data type can be represented using an instance of this class. + Varchars in Column are arbitrary-length character sequences and are + encoded with UTF-8. + + Example: + >>> column_foo = VarcharType() + >>> isinstance(column_foo, VarcharType) + True + """ + + def __init__(self, length: Optional[int] = None): + super().__init__("varchar", "VarcharType()") + object.__setattr__(self, "_length", length) + + def __str__(self): + return ( + f"{self._type_string}({self._length})" + if self._length + else self._type_string + ) + + +class UUIDType(PrimitiveType, Singleton): + """A UUID data type can be represented using an instance of this class. UUIDs in + Column are universally unique identifiers. + + Example: + >>> column_foo = UUIDType() + >>> isinstance(column_foo, UUIDType) + True + """ + + def __init__(self): + super().__init__("uuid", "UUIDType()") + + +class BinaryType(PrimitiveType, Singleton): + """A Binary data type can be represented using an instance of this class. Binarys in + Column are arbitrary-length byte arrays. + + Example: + >>> column_foo = BinaryType() + >>> isinstance(column_foo, BinaryType) + True + """ + + def __init__(self): + super().__init__("binary", "BinaryType()") + + +class WildcardType(PrimitiveType, Singleton): + """A Wildcard datatype. + + Example: + >>> column_foo = WildcardType() + >>> isinstance(column_foo, WildcardType) + True + """ + + def __init__(self): + super().__init__("wildcard", "WildcardType()") + + +# Define the primitive data types and their corresponding Python classes +PRIMITIVE_TYPES: Dict[str, PrimitiveType] = { + "bool": BooleanType(), + "boolean": BooleanType(), + "varchar": VarcharType(), + "int": IntegerType(), + "integer": IntegerType(), + "tinyint": TinyIntType(), + "smallint": SmallIntType(), + "bigint": BigIntType(), + "long": BigIntType(), + "float": FloatType(), + "double": DoubleType(), + "date": DateType(), + "datetime": TimestampType(), + "time": TimeType(), + "timestamp": TimestampType(), + "timestamptz": TimestamptzType(), + "string": StringType(), + "str": StringType(), + "uuid": UUIDType(), + "byte": BinaryType(), + "bytes": BinaryType(), + "binary": BinaryType(), + "none": NullType(), + "null": NullType(), + "wildcard": WildcardType(), + "dict": StringType(), +} diff --git a/datajunction-server/datajunction_server/superset.py b/datajunction-server/datajunction_server/superset.py new file mode 100644 index 000000000..2ebf5124d --- /dev/null +++ b/datajunction-server/datajunction_server/superset.py @@ -0,0 +1,137 @@ +""" +A DB engine spec for Superset. +""" + +import re +from datetime import timedelta +from typing import TYPE_CHECKING, Any, List, Optional, Set, TypedDict + +import requests +from sqlalchemy.engine.reflection import Inspector + +try: + from superset.db_engine_specs.base import BaseEngineSpec +except ImportError: # pragma: no cover + # we don't really need the base class, so we can just mock it if Apache Superset is + # not installed + BaseEngineSpec = object + +if TYPE_CHECKING: + from superset.models.core import Database + + +SELECT_STAR_MESSAGE = ( + "DJ does not support data preview, since the `metrics` table is a virtual table " + "representing the whole repository of metrics. An administrator should configure the " + "DJ database with the `disable_data_preview` attribute set to `true` in the `extra` " + "field." +) +GET_METRICS_TIMEOUT = timedelta(seconds=60) + + +class MetricType(TypedDict, total=False): + """ + Type for metrics return by `get_metrics`. + """ + + metric_name: str + expression: str + verbose_name: Optional[str] + metric_type: Optional[str] + description: Optional[str] + d3format: Optional[str] + warning_text: Optional[str] + extra: Optional[str] + + +class DJEngineSpec(BaseEngineSpec): + """ + Engine spec for the DataJunction metric repository + + See https://github.com/DataJunction/dj for more information. + """ + + engine = "dj" + engine_name = "DJ" + + sqlalchemy_uri_placeholder = "dj://host:port/database_id" + + _time_grain_expressions = { + None: "{col}", + "PT1S": "DATE_TRUNC('second', {col})", + "PT1M": "DATE_TRUNC('minute', {col})", + "PT1H": "DATE_TRUNC('hour', {col})", + "P1D": "DATE_TRUNC('day', {col})", + "P1W": "DATE_TRUNC('week', {col})", + "P1M": "DATE_TRUNC('month', {col})", + "P3M": "DATE_TRUNC('quarter', {col})", + "P1Y": "DATE_TRUNC('year', {col})", + } + + @classmethod + def select_star( + cls, + *args: Any, + **kwargs: Any, + ) -> str: + """ + Return a ``SELECT *`` query. + + Since DJ doesn't have tables per se, a ``SELECT *`` query doesn't make sense. + """ + message = SELECT_STAR_MESSAGE.replace("'", "''") + return f"SELECT '{message}' AS warning" + + @classmethod + def get_metrics( + cls, + database: "Database", + inspector: Inspector, + table_name: str, + schema: Optional[str], + ) -> List[MetricType]: + """ + Get all metrics from a given schema and table. + """ + with database.get_sqla_engine_with_context() as engine: + base_url = engine.connect().connection.base_url + + response = requests.get( + base_url / "metrics/", + timeout=GET_METRICS_TIMEOUT.total_seconds(), + ) + payload = response.json() + return [ + { + "metric_name": metric_name, + "expression": f'"{metric_name}"', + "description": "", + } + for metric_name in payload + ] + + @classmethod + def execute( + cls, + cursor: Any, + query: str, + **kwargs: Any, + ) -> None: + """ + Quote ``__timestamp`` and other identifiers starting with an underscore. + """ + query = re.sub(r" AS (_.*?)(\b|$)", r' AS "\1"', query) + + return super().execute(cursor, query, **kwargs) + + @classmethod + def get_view_names( + cls, + database: "Database", + inspector: Inspector, + schema: Optional[str], + ) -> Set[str]: + """ + Return all views. + """ + return set() diff --git a/datajunction-server/datajunction_server/transpilation.py b/datajunction-server/datajunction_server/transpilation.py new file mode 100644 index 000000000..8a69822d7 --- /dev/null +++ b/datajunction-server/datajunction_server/transpilation.py @@ -0,0 +1,129 @@ +"""SQL transpilation plugins manager.""" + +import importlib +from typing import Optional +import logging + +from datajunction_server.models.engine import Dialect +from datajunction_server.models.dialect import DialectRegistry, dialect_plugin +from datajunction_server.utils import get_settings + +settings = get_settings() +logger = logging.getLogger(__name__) + + +@dialect_plugin(Dialect.SPARK.value) +class SQLTranspilationPlugin: + """ + SQL transpilation plugin base class. To add support for a new SQL transpilation library, + implement this class with a custom `transpile_sql` method that works for the library. The + base implementation here will handle checking that the package exists before loading and + using it, or skipping transpilation if the package cannot be loaded. + """ + + package_name: Optional[str] = "default" + + def __init__(self): + """ + Load the package + """ + self.check_package() + + def check_package(self): + """ + Check that the selected SQL transpilation package is installed and loads it. + """ + if self.package_name: # pragma: no cover + try: + importlib.import_module(self.package_name) + except ImportError: + logger.warning( + "The SQL transpilation package is not installed: %s", + self.package_name, + ) + + def transpile_sql( + self, + query: str, + *, + input_dialect: Optional[Dialect] = None, + output_dialect: Optional[Dialect] = None, + ) -> str: + """Transpile a given SQL query using the specific library.""" + return query + + +@dialect_plugin(Dialect.CLICKHOUSE.value) +@dialect_plugin(Dialect.DRUID.value) +@dialect_plugin(Dialect.DUCKDB.value) +@dialect_plugin(Dialect.POSTGRES.value) +@dialect_plugin(Dialect.REDSHIFT.value) +@dialect_plugin(Dialect.SNOWFLAKE.value) +@dialect_plugin(Dialect.SPARK.value) +@dialect_plugin(Dialect.SQLITE.value) +@dialect_plugin(Dialect.TRINO.value) +class SQLGlotTranspilationPlugin(SQLTranspilationPlugin): + """ + Implement sqlglot as a transpilation option + """ + + package_name: str = "sqlglot" + + def transpile_sql( + self, + query: str, + *, + input_dialect: Optional[Dialect] = None, + output_dialect: Optional[Dialect] = None, + ) -> str: + """ + Transpile a given SQL query using the specific library. + """ + import sqlglot + + # Check to make sure that the output dialect is supported by sqlglot before transpiling + if ( + input_dialect + and output_dialect + and output_dialect.name in dir(sqlglot.dialects.Dialects) + ): + value = sqlglot.transpile( + query, + read=str(input_dialect.name.lower()), # type: ignore + write=str(output_dialect.name.lower()), # type: ignore + pretty=True, + )[0] + return value + return query + + +def transpile_sql( + sql: str, + dialect: Dialect | None = None, +) -> str: + """ + Transpile SQL to a target dialect. + + This function performs two steps: + 1. Translate canonical function names to dialect-specific names + 2. Use SQLGlot (if available) for general SQL transpilation + + Args: + sql: The SQL string to transpile + dialect: The target SQL dialect (if None, returns SQL unchanged) + + Returns: + The transpiled SQL string + """ + if dialect: + # Use SQLGlot for general transpilation + if plugin_class := DialectRegistry.get_plugin( # pragma: no cover + dialect.name.lower(), + ): + plugin = plugin_class() + return plugin.transpile_sql( + sql, + input_dialect=Dialect.SPARK, + output_dialect=dialect, + ) + return sql diff --git a/datajunction-server/datajunction_server/typing.py b/datajunction-server/datajunction_server/typing.py new file mode 100644 index 000000000..f00da6b56 --- /dev/null +++ b/datajunction-server/datajunction_server/typing.py @@ -0,0 +1,350 @@ +""" +Custom types for annotations. +""" + +from __future__ import annotations + +import datetime +from types import ModuleType +from typing import Any, Iterator, List, Literal, Optional, Tuple, TypedDict, Union + +from typing_extensions import Protocol + +from datajunction_server.enum import StrEnum + + +class SQLADialect(Protocol): + """ + A SQLAlchemy dialect. + """ + + dbapi: ModuleType + + +# The ``type_code`` in a cursor description -- can really be anything +TypeCode = Any + + +# Cursor description +Description = Optional[ + List[ + Tuple[ + str, + TypeCode, + Optional[str], + Optional[str], + Optional[str], + Optional[str], + Optional[bool], + ] + ] +] + + +# A stream of data +Row = Tuple[Any, ...] +Stream = Iterator[Row] + + +class TypeEnum(StrEnum): + """ + PEP 249 basic types. + + Unfortunately SQLAlchemy doesn't seem to offer an API for determining the types of the + columns in a (SQL Core) query, and the DB API 2.0 cursor only offers very coarse + types. + """ + + STRING = "STRING" + BINARY = "BINARY" + NUMBER = "NUMBER" + TIMESTAMP = "TIMESTAMP" + UNKNOWN = "UNKNOWN" + + +class QueryState(StrEnum): + """ + Different states of a query. + """ + + UNKNOWN = "UNKNOWN" + ACCEPTED = "ACCEPTED" + SCHEDULED = "SCHEDULED" + RUNNING = "RUNNING" + FINISHED = "FINISHED" + CANCELED = "CANCELED" + FAILED = "FAILED" + + +END_JOB_STATES = [QueryState.FINISHED, QueryState.CANCELED, QueryState.FAILED] + +# sqloxide type hints +# Reference: https://github.com/sqlparser-rs/sqlparser-rs/blob/main/src/ast/query.rs + + +class Value(TypedDict, total=False): + Number: Tuple[str, bool] + SingleQuotedString: str + Boolean: bool + + +class Limit(TypedDict): + Value: Value + + +class Identifier(TypedDict): + quote_style: Optional[str] + value: str + + +class Bound(TypedDict, total=False): + Following: int + Preceding: int + + +class WindowFrame(TypedDict): + end_bound: Bound + start_bound: Bound + units: str + + +class Expression(TypedDict, total=False): + CompoundIdentifier: List["Identifier"] + Identifier: Identifier + Value: Value + Function: Function # type: ignore + UnaryOp: UnaryOp # type: ignore + BinaryOp: BinaryOp # type: ignore + Case: Case # type: ignore + + +class Case(TypedDict): + conditions: List[Expression] + else_result: Optional[Expression] + operand: Optional[Expression] + results: List[Expression] + + +class UnnamedArgument(TypedDict): + Expr: Expression + + +class Argument(TypedDict, total=False): + Unnamed: Union[UnnamedArgument, Wildcard] + + +class Over(TypedDict): + order_by: List[Expression] + partition_by: List[Expression] + window_frame: WindowFrame + + +class Function(TypedDict): + args: List[Argument] + distinct: bool + name: List[Identifier] + over: Optional[Over] + + +class ExpressionWithAlias(TypedDict): + alias: Identifier + expr: Expression + + +class Offset(TypedDict): + rows: str + value: Expression + + +class OrderBy(TypedDict, total=False): + asc: Optional[bool] + expr: Expression + nulls_first: Optional[bool] + + +class Projection(TypedDict, total=False): + ExprWithAlias: ExpressionWithAlias + UnnamedExpr: Expression + + +Wildcard = Literal["Wildcard"] + + +class Fetch(TypedDict): + percent: bool + quantity: Value + with_ties: bool + + +Top = Fetch + + +class UnaryOp(TypedDict): + op: str + expr: Expression + + +class BinaryOp(TypedDict): + left: Expression + op: str + right: Expression + + +class LateralView(TypedDict): + lateral_col_alias: List[Identifier] + lateral_view: Expression + lateral_view_name: List[Identifier] + outer: bool + + +class TableAlias(TypedDict): + columns: List[Identifier] + name: Identifier + + +class Table(TypedDict): + alias: Optional[TableAlias] + args: List[Argument] + name: List[Identifier] + with_hints: List[Expression] + + +class Derived(TypedDict): + lateral: bool + subquery: "Body" # type: ignore + alias: Optional[TableAlias] + + +class Relation(TypedDict, total=False): + Table: Table + Derived: Derived + + +class JoinConstraint(TypedDict): + On: Expression + Using: List[Identifier] + + +class JoinOperator(TypedDict, total=False): + Inner: JoinConstraint + LeftOuter: JoinConstraint + RightOuter: JoinConstraint + FullOuter: JoinConstraint + + +CrossJoin = Literal["CrossJoin"] +CrossApply = Literal["CrossApply"] +OuterApply = Literal["Outerapply"] + + +class Join(TypedDict): + join_operator: Union[JoinOperator, CrossJoin, CrossApply, OuterApply] + relation: Relation + + +class From(TypedDict): + joins: List[Join] + relation: Relation + + +Select = TypedDict( + "Select", + { + "cluster_by": List[Expression], + "distinct": bool, + "distribute_by": List[Expression], + "from": List[From], + "group_by": List[Expression], + "having": Optional[BinaryOp], + "lateral_views": List[LateralView], + "projection": List[Union[Projection, Wildcard]], + "selection": Optional[BinaryOp], + "sort_by": List[Expression], + "top": Optional[Top], + }, +) + + +class Body(TypedDict): + Select: Select + + +CTETable = TypedDict( + "CTETable", + { + "alias": TableAlias, + "from": Optional[Identifier], + "query": "Query", # type: ignore + }, +) + + +class With(TypedDict): + cte_tables: List[CTETable] + + +Query = TypedDict( + "Query", + { + "body": Body, + "fetch": Optional[Fetch], + "limit": Optional[Limit], + "lock": Optional[Literal["Share", "Update"]], + "offset": Optional[Offset], + "order_by": List[OrderBy], + "with": Optional[With], + }, +) + + +# We could support more than just ``SELECT`` here. +class Statement(TypedDict): + Query: Query + + +# A parse tree, result of ``sqloxide.parse_sql``. +ParseTree = List[Statement] # type: ignore + + +class UTCDatetime(datetime.datetime): + """ + A UTC extension of pydantic's normal datetime handling + """ + + @classmethod + def __get_pydantic_core_schema__( + cls, + source_type, + handler, + ): + """ + Pydantic v2 core schema for datetime validation + """ + from pydantic_core import core_schema + + return core_schema.no_info_after_validator_function( + cls.validate, + core_schema.datetime_schema(), + ) + + @classmethod + def validate(cls, value): + """ + Convert to UTC + """ + if isinstance(value, str): # pragma: no cover + # Parse string to datetime first + from datetime import datetime as dt + + try: + value = dt.fromisoformat(value.replace("Z", "+00:00")) + except ValueError: + # Try other common formats + import dateutil.parser + + value = dateutil.parser.parse(value) + + if value.tzinfo is None: + return value.replace(tzinfo=datetime.timezone.utc) # pragma: no cover + + return value.astimezone(datetime.timezone.utc) diff --git a/datajunction-server/datajunction_server/utils.py b/datajunction-server/datajunction_server/utils.py new file mode 100644 index 000000000..840485cae --- /dev/null +++ b/datajunction-server/datajunction_server/utils.py @@ -0,0 +1,528 @@ +""" +Utility functions. +""" + +import asyncio +from contextlib import asynccontextmanager +import json +import logging +import os +import re +from functools import lru_cache +from http import HTTPStatus + +from typing import AsyncIterator, List, Optional + +from dotenv import load_dotenv +from fastapi import Depends +from rich.logging import RichHandler +from sqlalchemy import AsyncAdaptedQueuePool +from sqlalchemy.exc import MissingGreenlet, OperationalError +from sqlalchemy.ext.asyncio import ( + AsyncEngine, + AsyncSession, + async_sessionmaker, + create_async_engine, +) +from sqlalchemy.sql import Select + +from starlette.requests import Request +from yarl import URL + +from datajunction_server.config import DatabaseConfig, QueryClientConfig, Settings +from datajunction_server.database.user import User, PrincipalKind, OAuthProvider +from datajunction_server.enum import StrEnum +from datajunction_server.errors import ( + DJAuthenticationException, + DJDatabaseException, + DJInternalErrorException, + DJInvalidInputException, + DJUninitializedResourceException, +) +from datajunction_server.internal.access.group_membership import ( + get_group_membership_service, +) +from datajunction_server.service_clients import QueryServiceClient + +logger = logging.getLogger(__name__) + + +def setup_logging(loglevel: str) -> None: + """ + Setup basic logging. + """ + level = getattr(logging, loglevel.upper(), None) + if not isinstance(level, int): + raise ValueError(f"Invalid log level: {loglevel}") + + logformat = "[%(asctime)s] %(levelname)s: %(name)s: %(message)s" + logging.basicConfig( + level=level, + format=logformat, + datefmt="[%X]", + handlers=[RichHandler(rich_tracebacks=True)], + force=True, + ) + + +@lru_cache +def get_settings() -> Settings: + """ + Return a cached settings object. + """ + dotenv_file = os.environ.get("DOTENV_FILE", ".env") + load_dotenv(dotenv_file) + return Settings() + + +class DatabaseSessionManager: + """ + DB session context manager + """ + + def __init__(self): + self._reader_engine: AsyncEngine | None = None + self._writer_engine: AsyncEngine | None = None + self._writer_sessionmaker: async_sessionmaker[AsyncSession] | None = None + self._reader_sessionmaker: async_sessionmaker[AsyncSession] | None = None + + @property + def reader_engine(self) -> AsyncEngine: + if self._reader_engine is None: + raise DJUninitializedResourceException( + "DatabaseSessionManager is not initialized", + ) + return self._reader_engine + + @property + def writer_engine(self) -> AsyncEngine: + if self._writer_engine is None: + raise DJUninitializedResourceException( + "DatabaseSessionManager is not initialized", + ) + return self._writer_engine + + @property + def reader_sessionmaker(self) -> async_sessionmaker[AsyncSession]: + if self._reader_sessionmaker is None: + raise DJUninitializedResourceException( + "DatabaseSessionManager is not initialized", + ) + return self._reader_sessionmaker + + @property + def writer_sessionmaker(self) -> async_sessionmaker[AsyncSession]: + if self._writer_sessionmaker is None: + raise DJUninitializedResourceException( + "DatabaseSessionManager is not initialized", + ) + return self._writer_sessionmaker + + def init_db(self): + """ + Initialize the database engine + """ + settings = get_settings() + self._writer_engine, self._writer_sessionmaker = self.create_engine_and_session( + settings.writer_db, + ) + if settings.reader_db: + self._reader_engine, self._reader_sessionmaker = ( + self.create_engine_and_session( + settings.reader_db, + ) + ) + else: + self._reader_engine, self._reader_sessionmaker = ( # pragma: no cover + self._writer_engine, + self._writer_sessionmaker, + ) + + @classmethod + def create_engine_and_session( + cls, + database_config: DatabaseConfig, + ) -> tuple[AsyncEngine, async_sessionmaker[AsyncSession]]: + engine = create_async_engine( + database_config.uri, + future=True, + echo=database_config.echo, + pool_pre_ping=database_config.pool_pre_ping, + pool_size=database_config.pool_size, + max_overflow=database_config.max_overflow, + pool_timeout=database_config.pool_timeout, + pool_recycle=database_config.pool_recycle, + poolclass=AsyncAdaptedQueuePool, + connect_args={ + "connect_timeout": database_config.connect_timeout, + "keepalives": database_config.keepalives, + "keepalives_idle": database_config.keepalives_idle, + "keepalives_interval": database_config.keepalives_interval, + "keepalives_count": database_config.keepalives_count, + }, + ) + async_session_factory = async_sessionmaker(bind=engine, expire_on_commit=False) + return engine, async_session_factory + + @property + def sessionmaker(self) -> async_sessionmaker[AsyncSession]: + """ + Default to writer sessionmaker + """ + return self._writer_sessionmaker + + @property + def session(self): + return self._writer_sessionmaker # pragma: no cover + + def get_writer_session_factory(self) -> async_sessionmaker[AsyncSession]: + return async_sessionmaker( # pragma: no cover + bind=self._writer_engine, + autocommit=False, + expire_on_commit=False, + ) + + async def close(self): + """ + Close database session + """ + if ( # pragma: no cover + self._reader_engine is None and self._writer_engine is None + ): + raise DJUninitializedResourceException( + "DatabaseSessionManager is not initialized", + ) + if self._reader_engine: # pragma: no cover + await self._reader_engine.dispose() # pragma: no cover + if self._writer_engine: # pragma: no cover + await self._writer_engine.dispose() # pragma: no cover + + +@lru_cache(maxsize=None) +def get_session_manager() -> DatabaseSessionManager: + """ + Get session manager + """ + session_manager = DatabaseSessionManager() + session_manager.init_db() + return session_manager + + +async def is_graphql_query(request: Request) -> bool: + """ + Check if the request is a GraphQL query and not a mutation. + """ + if request.url.path != "/graphql": + return False + try: + body = await request.body() + body_json = json.loads(body) + query_text = body_json.get("query", "") + return query_text.strip().lower().startswith("query") + except Exception: + return False + + +async def get_session(request: Request = None) -> AsyncIterator[AsyncSession]: + """ + Async database session. + """ + session_manager = get_session_manager() + session_maker = ( + session_manager.reader_sessionmaker + if request + and (request.method.upper() == "GET" or await is_graphql_query(request)) + else session_manager.writer_sessionmaker + ) + async with session_maker() as session: + try: + yield session + except Exception as exc: + await session.rollback() + raise exc + + +@asynccontextmanager +async def session_context(request: Request = None) -> AsyncIterator[AsyncSession]: + gen = get_session(request) + session = await gen.__anext__() + try: + yield session + finally: + await gen.aclose() # type: ignore + + +async def refresh_if_needed(session: AsyncSession, obj, attributes: list[str]): + """ + Conditionally refresh a list of attributes for a SQLAlchemy ORM object. + """ + attributes_to_refresh = [] + + for attr_name in attributes: + try: + getattr(obj, attr_name) + except MissingGreenlet: + attributes_to_refresh.append(attr_name) + + if attributes_to_refresh: + await session.refresh(obj, attributes_to_refresh) + + +async def execute_with_retry( + session: AsyncSession, + statement: Select, + retries: int = 3, + base_delay: float = 1.0, +): + """ + Execute a SQLAlchemy statement with retry logic for transient errors. + """ + attempt = 0 + while True: + try: + return await session.execute(statement) + except OperationalError as exc: + attempt += 1 + if attempt > retries: + raise DJDatabaseException( + "Database operation failed after retries", + ) from exc + delay = base_delay * (2 ** (attempt - 1)) + await asyncio.sleep(delay) + + +def get_query_service_client( + settings: Settings = Depends(get_settings), + request: Request = None, +): + """ + Return query service client based on configuration. + + This function supports both HTTP query service configuration (for production scale) + and direct client configurations for various data warehouse vendors (for smaller scale/demo). + """ + # Check for new query client configuration first + if settings.query_client.type != "http" or settings.query_client.connection: + return _create_configured_query_client(settings.query_client) + + # Fall back to HTTP query service configuration + if settings.query_service: + from datajunction_server.query_clients import HttpQueryServiceClient + + return HttpQueryServiceClient( + uri=settings.query_service, + retries=settings.query_client.retries, + ) + + return None + + +def _create_configured_query_client( + config: QueryClientConfig, +): + """ + Create a query client based on configuration. + + Args: + config: QueryClientConfig instance + + Returns: + Configured query service client + + Raises: + ValueError: If client type is not supported + """ + client_type = config.type.lower() + connection_params = config.connection + + if client_type == "http": + if "uri" not in connection_params: + raise ValueError("HTTP client requires 'uri' in connection parameters") + from datajunction_server.query_clients import HttpQueryServiceClient + + return HttpQueryServiceClient( + uri=connection_params["uri"], + retries=config.retries, + ) + + elif client_type == "snowflake": + required_params = ["account", "user"] + for param in required_params: + if param not in connection_params: + raise ValueError( + f"Snowflake client requires '{param}' in connection parameters", + ) + try: + from datajunction_server.query_clients import SnowflakeClient + + return SnowflakeClient(**connection_params) + except ImportError as e: + raise ValueError( + "Snowflake client dependencies not installed. " + "Install with: pip install 'datajunction-server[snowflake]'", + ) from e + + else: + raise ValueError(f"Unsupported query client type: {client_type}") + + +def get_legacy_query_service_client( + settings: Settings = Depends(get_settings), + request: Request = None, +) -> Optional[QueryServiceClient]: + """ + Return HTTP query service client for backward compatibility. + + This function preserves the original behavior and return type. + """ + from datajunction_server.service_clients import QueryServiceClient + + if not settings.query_service: # pragma: no cover + return None + return QueryServiceClient(settings.query_service) + + +def get_issue_url( + baseurl: URL = URL("https://github.com/DataJunction/dj/issues/new"), + title: Optional[str] = None, + body: Optional[str] = None, + labels: Optional[List[str]] = None, +) -> URL: + """ + Return the URL to file an issue on GitHub. + + https://docs.github.com/en/issues/tracking-your-work-with-issues/creating-an-issue#creating-an-issue-from-a-url-query + """ + query_arguments = { + "title": title, + "body": body, + "labels": ",".join(label.strip() for label in labels) if labels else None, + } + query_arguments = {k: v for k, v in query_arguments.items() if v is not None} + + return baseurl % query_arguments + + +class VersionUpgrade(StrEnum): + """ + The version upgrade type + """ + + MAJOR = "major" + MINOR = "minor" + + +class Version: + """ + Represents a basic semantic version with only major & minor parts. + Used for tracking node versioning. + """ + + def __init__(self, major, minor): + self.major = major + self.minor = minor + + def __str__(self) -> str: + return f"v{self.major}.{self.minor}" + + @classmethod + def parse(cls, version_string) -> "Version": + """ + Parse a version string. + """ + version_regex = re.compile(r"^v(?P[0-9]+)\.(?P[0-9]+)") + matcher = version_regex.search(version_string) + if not matcher: + raise DJInternalErrorException(f"Unparseable version {version_string}!") + results = matcher.groupdict() + return Version(int(results["major"]), int(results["minor"])) + + def next_minor_version(self) -> "Version": + """ + Returns the next minor version + """ + return Version(self.major, self.minor + 1) + + def next_major_version(self) -> "Version": + """ + Returns the next major version + """ + return Version(self.major + 1, 0) + + +def get_namespace_from_name(name: str) -> str: + """ + Splits a qualified node name into it's namespace and name parts + """ + if "." in name: + node_namespace, _ = name.rsplit(".", 1) + else: # pragma: no cover + raise DJInvalidInputException(f"No namespace provided: {name}") + return node_namespace + + +async def get_current_user(request: Request) -> User: + """ + Returns the current authenticated user + """ + # from datajunction_server.database.user import User + if not hasattr(request.state, "user"): # pragma: no cover + raise DJAuthenticationException( + message="Unauthorized, request state has no user", + http_status_code=HTTPStatus.UNAUTHORIZED, + ) + return request.state.user + + +async def sync_user_groups( + session: AsyncSession, + username: str, +) -> list[str]: + """ + Sync a user's groups from the configured membership provider. + + This fetches the user's groups and ensures they exist as principals + (kind=GROUP) in the users table so that roles can be assigned to them. + """ + service = get_group_membership_service() + group_names = await service.get_user_groups(session, username) + + if not group_names: + return group_names + + # Fetch all existing groups in a single query + existing_users = await User.get_by_usernames( + session, + group_names, + raise_if_not_exists=False, + ) + existing_groups = {u.username: u for u in existing_users} + + for group_name in group_names: + existing = existing_groups.get(group_name) + if existing: + if existing.kind != PrincipalKind.GROUP: + logger.warning( + 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+groups = ["default", "test"] +without-hashes = true + +[project] +name = "datajunction-server" +dynamic = ["version"] +description = "DataJunction server library for running to a DataJunction server" +repository = "https://github.com/DataJunction/dj" +keywords = ["semanticlayer", "metrics"] +dependencies = [ + # Database and ORM + "alembic>=1.10.3", + "SQLAlchemy-Utils<1.0.0,>=0.40.0", + "sqlalchemy>=2", + "psycopg>=3.1.16", + + # FastAPI and web framework + "fastapi>=0.110.0", + "sse-starlette>=1.6.0,<=2.0.0", + + # Authentication and security + "passlib>=1.7.4", + "python-jose>=3.3.0", + "cryptography<=45.0.0", + "bcrypt<=4.3.0,>=4.0.1", + + # Google APIs + "google-api-python-client>=2.95.0", + "google-auth-httplib2>=0.1.0", + "google-auth-oauthlib>=1.0.0", + + # Instrumentation and monitoring + "opentelemetry-instrumentation-fastapi==0.38b0", + "line-profiler>=4.0.3", + + # Task queues + "celery<6.0.0,>=5.2.7", + + # Data serialization and caching + "fastapi-cache2>=0.2.1", + "cachetools>=5.3.1", + "types-cachetools>=5.3.0.6", + "cachelib<1.0.0,>=0.10.2", + "msgpack<2.0.0,>=1.0.5", + "redis<5.0.0,>=4.5.4", + + # Query parsing + "antlr4-python3-runtime==4.13.1", + + # Utilities and formatting + "requests<=2.29.0,>=2.28.2", + "python-dotenv<1.0.0,>=0.19.0", + "rich<14.0.0,>=13.3.3", + "yarl<2.0.0,>=1.8.2", + "jinja2>=3.1.4", + "python-multipart>=0.0.20", + "nbformat>=5.10.4", + + # GraphQL + "strawberry-graphql>=0.235.0", + + # Data validation + "pydantic<2.11,>=2.0", + "pydantic-settings>=2.10.1", +] +requires-python = ">=3.10,<4.0" +readme = "README.md" +license = {text = "MIT"} +classifiers = [ + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent" +] + +[project.optional-dependencies] +uvicorn = [ + "uvicorn[standard]>=0.21.1", +] +transpilation = [ + "sqlglot>=18.0.1", +] + +# Query client dependencies for different data warehouse vendors +snowflake = [ + "snowflake-connector-python>=3.0.0", +] + +all = [ + "snowflake-connector-python>=3.0.0", +] + +[project.entry-points.'superset.db_engine_specs'] +dj = 'datajunction_server.superset:DJEngineSpec' + +[tool.hatch.version] +path = "datajunction_server/__about__.py" + +[project.urls] +Homepage = "https://datajunction.io" +Repository = "https://github.com/DataJunction/dj" + +[tool.coverage.run] +source = ['datajunction_server/'] +concurrency = ["thread,greenlet"] + +[tool.pytest.ini_options] +asyncio_mode = "auto" +testpaths = [ + "tests", +] +norecursedirs = [ + "tests/helpers", +] + +[tool.ruff.lint] +ignore = ["F811"] +exclude = ["datajunction_server/sql/parsing/backends/antlr4.py"] + +[tool.pdm.dev-dependencies] +test = [ + "codespell>=2.2.4", + "freezegun>=1.2.2", + "pre-commit>=3.2.2", + "pylint>=3.0.3", + "pytest-asyncio>=1.2.0", + "pytest-cov>=4.0.0", + "pytest-integration>=0.2.2", + "pytest-mock>=3.10.0", + "pytest>=7.3.0", + "requests-mock>=1.10.0", + "typing-extensions>=4.5.0", + "pytest-xdist>=3.3.0", + "duckdb==0.8.1", + "testcontainers>=3.7.1", + "httpx>=0.27.0", + "greenlet>=3.0.3", + "gevent>=24.2.1", + "sqlparse<1.0.0,>=0.4.3", + "asgi-lifespan>=2", +] diff --git a/datajunction-server/requirements/docker.txt b/datajunction-server/requirements/docker.txt new file mode 100644 index 000000000..28695cb0b --- /dev/null +++ b/datajunction-server/requirements/docker.txt @@ -0,0 +1,120 @@ +# This file is @generated by PDM. +# Please do not edit it manually. + +alembic==1.16.5 +amqp==5.3.1 +annotated-types==0.7.0 +antlr4-python3-runtime==4.13.1 +anyio==4.11.0 +asgiref==3.9.2 +async-timeout==5.0.1; python_full_version <= "3.11.2" +attrs==25.3.0 +bcrypt==4.3.0 +billiard==4.2.2 +cachelib==0.13.0 +cachetools==5.5.2 +celery==5.5.3 +certifi==2025.8.3 +cffi==2.0.0; platform_python_implementation != "PyPy" +charset-normalizer==3.4.3 +click==8.3.0 +click-didyoumean==0.3.1 +click-plugins==1.1.1.2 +click-repl==0.3.0 +colorama==0.4.6; sys_platform == "win32" or platform_system == "Windows" +cryptography==44.0.3 +ecdsa==0.19.1 +exceptiongroup==1.3.0; python_version < "3.11" +fastapi==0.117.1 +fastapi-cache2==0.2.2 +fastjsonschema==2.21.2 +google-api-core==2.25.1 +google-api-python-client==2.182.0 +google-auth==2.40.3 +google-auth-httplib2==0.2.0 +google-auth-oauthlib==1.2.2 +googleapis-common-protos==1.70.0 +graphql-core==3.2.6 +greenlet==3.2.4 +h11==0.16.0 +httplib2==0.31.0 +httptools==0.6.4 +idna==3.10 +importlib-metadata==8.7.0 +jinja2==3.1.6 +jsonschema==4.25.1 +jsonschema-specifications==2025.9.1 +jupyter-core==5.8.1 +kombu==5.5.4 +lia-web==0.2.3 +line-profiler==5.0.0 +mako==1.3.10 +markdown-it-py==4.0.0 +markupsafe==3.0.2 +mdurl==0.1.2 +msgpack==1.1.1 +multidict==6.6.4 +nbformat==5.10.4 +oauthlib==3.3.1 +opentelemetry-api==1.37.0 +opentelemetry-instrumentation==0.38b0 +opentelemetry-instrumentation-asgi==0.38b0 +opentelemetry-instrumentation-fastapi==0.38b0 +opentelemetry-semantic-conventions==0.38b0 +opentelemetry-util-http==0.38b0 +packaging==25.0 +passlib==1.7.4 +pendulum==3.1.0 +platformdirs==4.4.0 +prompt-toolkit==3.0.52 +propcache==0.3.2 +proto-plus==1.26.1 +protobuf==6.32.1 +psycopg==3.2.10 +pyasn1==0.6.1 +pyasn1-modules==0.4.2 +pycparser==2.23; implementation_name != "PyPy" and platform_python_implementation != "PyPy" +pydantic==2.10.6 +pydantic-core==2.27.2 +pydantic-settings==2.10.1 +pygments==2.19.2 +pyparsing==3.2.5 +python-dateutil==2.9.0.post0 +python-dotenv==0.21.1 +python-jose==3.5.0 +python-multipart==0.0.20 +pywin32==311; sys_platform == "win32" +pyyaml==6.0.2 +redis==4.6.0 +referencing==0.36.2 +requests==2.29.0 +requests-oauthlib==2.0.0 +rich==13.9.4 +rpds-py==0.27.1 +rsa==4.9.1 +setuptools==80.9.0 +six==1.17.0 +sniffio==1.3.1 +sqlalchemy==2.0.43 +sqlalchemy-utils==0.42.0 +sqlglot==27.17.0 +sse-starlette==2.0.0 +starlette==0.48.0 +strawberry-graphql==0.282.0 +tomli==2.2.1; python_version < "3.11" +traitlets==5.14.3 +types-cachetools==6.2.0.20250827 +typing-extensions==4.15.0 +typing-inspection==0.4.1 +tzdata==2025.2 +uritemplate==4.2.0 +urllib3==1.26.20 +uvicorn[standard]==0.37.0 +uvloop==0.21.0; (sys_platform != "cygwin" and sys_platform != "win32") and platform_python_implementation != "PyPy" +vine==5.1.0 +watchfiles==1.1.0 +wcwidth==0.2.14 +websockets==15.0.1 +wrapt==1.17.3 +yarl==1.20.1 +zipp==3.23.0 diff --git a/datajunction-server/requirements/test.txt b/datajunction-server/requirements/test.txt new file mode 100644 index 000000000..2b65ade2a --- /dev/null +++ b/datajunction-server/requirements/test.txt @@ -0,0 +1,151 @@ +# This file is @generated by PDM. +# Please do not edit it manually. + +alembic==1.16.5 +amqp==5.3.1 +annotated-types==0.7.0 +antlr4-python3-runtime==4.13.1 +anyio==4.11.0 +asgi-lifespan==2.1.0 +asgiref==3.9.2 +astroid==3.3.11 +async-timeout==5.0.1; python_full_version <= "3.11.2" +attrs==25.3.0 +bcrypt==4.3.0 +billiard==4.2.2 +cachelib==0.13.0 +cachetools==5.5.2 +celery==5.5.3 +certifi==2025.8.3 +cffi==2.0.0; platform_python_implementation != "PyPy" +cfgv==3.4.0 +charset-normalizer==3.4.3 +click==8.3.0 +click-didyoumean==0.3.1 +click-plugins==1.1.1.2 +click-repl==0.3.0 +codespell==2.4.1 +colorama==0.4.6; sys_platform == "win32" or platform_system == "Windows" +coverage[toml]==7.10.7 +cryptography==44.0.3 +dill==0.4.0 +distlib==0.4.0 +docker==7.1.0 +duckdb==0.8.1 +ecdsa==0.19.1 +exceptiongroup==1.3.0; python_version < "3.11" +execnet==2.1.1 +fastapi==0.117.1 +fastapi-cache2==0.2.2 +fastjsonschema==2.21.2 +filelock==3.19.1 +freezegun==1.5.5 +gevent==25.9.1 +google-api-core==2.25.1 +google-api-python-client==2.182.0 +google-auth==2.40.3 +google-auth-httplib2==0.2.0 +google-auth-oauthlib==1.2.2 +googleapis-common-protos==1.70.0 +graphql-core==3.2.6 +greenlet==3.2.4 +h11==0.16.0 +httpcore==1.0.9 +httplib2==0.31.0 +httpx==0.28.1 +identify==2.6.14 +idna==3.10 +importlib-metadata==8.7.0 +iniconfig==2.1.0 +isort==6.0.1 +jinja2==3.1.6 +jsonschema==4.25.1 +jsonschema-specifications==2025.9.1 +jupyter-core==5.8.1 +kombu==5.5.4 +lia-web==0.2.3 +line-profiler==5.0.0 +mako==1.3.10 +markdown-it-py==4.0.0 +markupsafe==3.0.2 +mccabe==0.7.0 +mdurl==0.1.2 +msgpack==1.1.1 +multidict==6.6.4 +nbformat==5.10.4 +nodeenv==1.9.1 +oauthlib==3.3.1 +opentelemetry-api==1.37.0 +opentelemetry-instrumentation==0.38b0 +opentelemetry-instrumentation-asgi==0.38b0 +opentelemetry-instrumentation-fastapi==0.38b0 +opentelemetry-semantic-conventions==0.38b0 +opentelemetry-util-http==0.38b0 +packaging==25.0 +passlib==1.7.4 +pendulum==3.1.0 +platformdirs==4.4.0 +pluggy==1.6.0 +pre-commit==4.3.0 +prompt-toolkit==3.0.52 +propcache==0.3.2 +proto-plus==1.26.1 +protobuf==6.32.1 +psycopg==3.2.10 +pyasn1==0.6.1 +pyasn1-modules==0.4.2 +pycparser==2.23; implementation_name != "PyPy" and platform_python_implementation != "PyPy" +pydantic==2.10.6 +pydantic-core==2.27.2 +pydantic-settings==2.10.1 +pygments==2.19.2 +pylint==3.3.8 +pyparsing==3.2.5 +pytest==8.4.2 +pytest-asyncio==0.21.2 +pytest-cov==7.0.0 +pytest-integration==0.2.3 +pytest-mock==3.15.1 +pytest-xdist==3.8.0 +python-dateutil==2.9.0.post0 +python-dotenv==0.21.1 +python-jose==3.5.0 +python-multipart==0.0.20 +pywin32==311; sys_platform == "win32" +pyyaml==6.0.2 +redis==4.6.0 +referencing==0.36.2 +requests==2.29.0 +requests-mock==1.12.1 +requests-oauthlib==2.0.0 +rich==13.9.4 +rpds-py==0.27.1 +rsa==4.9.1 +setuptools==80.9.0 +six==1.17.0 +sniffio==1.3.1 +sqlalchemy==2.0.43 +sqlalchemy-utils==0.42.0 +sqlparse==0.5.3 +sse-starlette==2.0.0 +starlette==0.48.0 +strawberry-graphql==0.282.0 +testcontainers==4.13.0 +tomli==2.2.1; python_version < "3.11" +tomlkit==0.13.3 +traitlets==5.14.3 +types-cachetools==6.2.0.20250827 +typing-extensions==4.15.0 +typing-inspection==0.4.1 +tzdata==2025.2 +uritemplate==4.2.0 +urllib3==1.26.20 +uvicorn==0.37.0 +vine==5.1.0 +virtualenv==20.34.0 +wcwidth==0.2.14 +wrapt==1.17.3 +yarl==1.20.1 +zipp==3.23.0 +zope-event==6.0 +zope-interface==8.0 diff --git a/datajunction-server/scripts/docs-snippets.js b/datajunction-server/scripts/docs-snippets.js new file mode 100644 index 000000000..483cc2b61 --- /dev/null +++ b/datajunction-server/scripts/docs-snippets.js @@ -0,0 +1,153 @@ +const { DJClient } = require("datajunction") + +const dj = new DJClient("http://localhost:8000") + +Promise.resolve().then( + () => { + return dj.namespaces.create("default").then(data => console.log(data)) + } +).then( + () => { + return dj.catalogs.create({"name": "warehouse"}).then(data => console.log(data)) + } +).then( + () => { + return dj.engines.create({ + name: "duckdb", + version: "0.7.1", + dialect: "spark", + }).then(data => console.log(data)) + } +).then( + () => { + return dj.catalogs.addEngine("warehouse", "duckdb", "0.7.1").then(data => console.log(data)) + } +).then( + () => { + return dj.sources.create({ + name: "default.repair_orders", + description: "Repair orders", + mode: "published", + catalog: "warehouse", + schema_: "roads", + table: "repair_orders", + columns: [ + {name: "repair_order_id", type: "int"}, + {name: "municipality_id", type: "string"}, + {name: "hard_hat_id", type: "int"}, + {name: "order_date", type: "timestamp"}, + {name: "required_date", type: "timestamp"}, + {name: "dispatched_date", type: "timestamp"}, + {name: "dispatcher_id", type: "int"} + ] + }).then(data => console.log(data)) + } +).then( + () => { + return dj.transforms.create( + { + name: "default.repair_orders_w_dispatchers", + mode: "published", + description: "Repair orders that have a dispatcher", + query: ` + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + dispatcher_id + FROM default.repair_orders + WHERE dispatcher_id IS NOT NULL + ` + } + ).then(data => console.log(data)) + } +).then( + () => { + return dj.sources.create( + { + name: "default.dispatchers", + mode: "published", + description: "Contact list for dispatchers", + catalog: "warehouse", + schema_: "roads", + table: "dispatchers", + columns: [ + {name: "dispatcher_id", type: "int"}, + {name: "company_name", type: "string"}, + {name: "phone", type: "string"} + ] + } + ).then(data => console.log(data)) + } +).then( + () => { + return dj.dimensions.create( + { + name: "default.all_dispatchers", + mode: "published", + description: "All dispatchers", + query: ` + SELECT + dispatcher_id, + company_name, + phone + FROM default.dispatchers + `, + primary_key: ["dispatcher_id"] + } + ).then(data => console.log(data)) + } +).then( + () => { + return dj.dimensions.link("default.repair_orders", "dispatcher_id", "default.all_dispatchers", "dispatcher_id").then(data => console.log(data)) + } +).then( + () => { + return dj.metrics.create( + { + name: "default.num_repair_orders", + description: "Number of repair orders", + mode: "published", + query: ` + SELECT + count(repair_order_id) as num_repair_orders + FROM default.repair_orders + ` + } + ).then(data => console.log(data)) + } +).then( + () => { + return dj.cubes.create( + { + name: "default.repairs_cube", + mode: "published", + display_name: "Repairs for each company", + description: "Cube of the number of repair orders grouped by dispatcher companies", + metrics: [ + "default.num_repair_orders" + ], + dimensions: [ + "default.all_dispatchers.company_name" + ], + filters: ["default.all_dispatchers.company_name IS NOT NULL"] + } + ).then(data => console.log(data)) + } +).then( + () => { + return dj.sql.get( + metrics=["default.num_repair_orders"], + dimensions=["default.all_dispatchers.company_name"], + filters=["default.all_dispatchers.company_name IS NOT NULL"] + ).then(data => console.log(data)) + } +).then( + () => { + return dj.data.get( + metrics=["default.num_repair_orders"], + dimensions=["default.all_dispatchers.company_name"], + filters=["default.all_dispatchers.company_name IS NOT NULL"] + ).then(data => console.log(data)) + } +) diff --git a/datajunction-server/scripts/docs-snippets.sh b/datajunction-server/scripts/docs-snippets.sh new file mode 100755 index 000000000..71c5c2863 --- /dev/null +++ b/datajunction-server/scripts/docs-snippets.sh @@ -0,0 +1,149 @@ +# Creating a namespace +printf "\n" +curl -X POST http://localhost:8000/namespaces/default/ + +# Creating a catalog +printf "\n" +curl -X POST http://localhost:8000/catalogs/ \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "name": "warehouse" +}' + +# Creating an engine +printf "\n" +curl -X 'POST' \ + 'http://localhost:8000/engines/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "name": "duckdb", + "version": "0.7.1", + "dialect": "spark" +}' + +# Attaching an engine to a catalog +printf "\n" +curl -X 'POST' \ + 'http://localhost:8000/catalogs/warehouse/engines/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '[{ + "name": "duckdb", + "version": "0.7.1" +}]' + +# Creating a source node +printf "\n" +curl -X POST http://localhost:8000/nodes/source/ \ +-H 'Content-Type: application/json' \ +-d '{ + "name": "default.repair_orders", + "description": "Repair orders", + "mode": "published", + "catalog": "warehouse", + "schema_": "roads", + "table": "repair_orders", + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "municipality_id", "type": "string"}, + {"name": "hard_hat_id", "type": "int"}, + {"name": "order_date", "type": "timestamp"}, + {"name": "required_date", "type": "timestamp"}, + {"name": "dispatched_date", "type": "timestamp"}, + {"name": "dispatcher_id", "type": "int"} + ] +}' + +# Creating a transform node +printf "\n" +curl -X POST http://localhost:8000/nodes/transform/ \ +-H 'Content-Type: application/json' \ +-d '{ + "name": "default.repair_orders_w_dispatchers", + "description": "Repair orders that have a dispatcher", + "mode": "published", + "query": "SELECT repair_order_id, municipality_id, hard_hat_id, dispatcher_id FROM default.repair_orders WHERE dispatcher_id IS NOT NULL" +}' + +# Creating a dimension node (part 1, creating a source first) +printf "\n" +curl -X 'POST' \ + 'http://localhost:8000/nodes/source/' \ + -H 'accept: application/json' \ + -H 'Content-Type: application/json' \ + -d '{ + "columns": [ + {"name": "dispatcher_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "phone", "type": "string"} + ], + "description": "Contact list for dispatchers", + "mode": "published", + "name": "default.dispatchers", + "catalog": "warehouse", + "schema_": "roads", + "table": "dispatchers" + }' + +# Creating a dimension node (part 2, creating the dimension node) +printf "\n" +curl -X POST http://localhost:8000/nodes/dimension/ \ +-H 'Content-Type: application/json' \ +-d '{ + "name": "default.all_dispatchers", + "description": "All dispatchers", + "mode": "published", + "query": "SELECT dispatcher_id, company_name, phone FROM default.dispatchers", + "primary_key": ["dispatcher_id"] +}' + +# Creating a dimension node (part 3, linking a dimension to a column) +printf "\n" +curl -X 'POST' \ + 'http://localhost:8000/nodes/default.repair_orders/columns/dispatcher_id/?dimension=default.all_dispatchers&dimension_column=dispatcher_id' \ + -H 'accept: application/json' + +# Creating a metric node +printf "\n" +curl -X POST http://localhost:8000/nodes/metric/ \ +-H 'Content-Type: application/json' \ +-d '{ + "name": "default.num_repair_orders", + "description": "Number of repair orders", + "mode": "published", + "query": "SELECT count(repair_order_id) as num_repair_orders FROM default.repair_orders" +}' + +# Creating a cube +printf "\n" +curl -X POST http://localhost:8000/nodes/cube/ \ +-H 'Content-Type: application/json' \ +-d '{ + "name": "default.repairs_cube", + "mode": "published", + "display_name": "Repairs for each company", + "description": "Cube of the number of repair orders grouped by dispatcher companies", + "metrics": [ + "default.num_repair_orders" + ], + "dimensions": [ + "default.all_dispatchers.company_name" + ], + "filters": ["default.all_dispatchers.company_name IS NOT NULL"], +}' + +# Get SQL for metrics +printf "\n" +curl -X 'GET' \ + 'http://localhost:8000/sql/?metrics=default.num_repair_orders&dimensions=default.all_dispatchers.company_name&filters=default.all_dispatchers.company_name%20IS%20NOT%20NULL' \ + -H 'accept: application/json' + +# Get data for metrics +printf "\n" +curl -X 'GET' \ + 'http://localhost:8000/data/?metrics=default.num_repair_orders&dimensions=default.all_dispatchers.company_name&filters=default.all_dispatchers.company_name%20IS%20NOT%20NULL' \ + -H 'accept: application/json' + +printf "\n" diff --git a/datajunction-server/scripts/generate-graphql.py b/datajunction-server/scripts/generate-graphql.py new file mode 100644 index 000000000..0ce74e99c --- /dev/null +++ b/datajunction-server/scripts/generate-graphql.py @@ -0,0 +1,24 @@ +import argparse +import os +from datajunction_server.api.main import graphql_schema + + +def save_graphql_schema(output_dir: str): + schema_sdl = graphql_schema.as_str() + with open(os.path.join(output_dir, "schema.graphql"), "w") as f: + f.write(schema_sdl) + print("Schema generated successfully.") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Generate a file containing the OpenAPI spec for a DJ server", + ) + parser.add_argument( + "-o", + "--output-dir", + dest="directory", + required=True, + ) + args, _ = parser.parse_known_args() + save_graphql_schema(output_dir=args.directory) diff --git a/datajunction-server/scripts/generate-openapi.py b/datajunction-server/scripts/generate-openapi.py new file mode 100755 index 000000000..71857035a --- /dev/null +++ b/datajunction-server/scripts/generate-openapi.py @@ -0,0 +1,26 @@ +#!/usr/bin/env python3 +import argparse +import json + +from datajunction_server.api.main import app + + +def save_openapi_spec(f: str): + spec = app.openapi() + with open(f, "w") as outfile: + outfile.write(json.dumps(spec, indent=4)) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Generate a file containing the OpenAPI spec for a DJ server", + ) + parser.add_argument( + "-o", + "--output-file", + dest="filename", + required=True, + metavar="FILE", + ) + args = vars(parser.parse_args()) + save_openapi_spec(f=args["filename"]) diff --git a/datajunction-server/scripts/migrate-measures.py b/datajunction-server/scripts/migrate-measures.py new file mode 100644 index 000000000..967045e2a --- /dev/null +++ b/datajunction-server/scripts/migrate-measures.py @@ -0,0 +1,82 @@ +import asyncio +import sqlalchemy as sa +from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession +from sqlalchemy.orm import sessionmaker, selectinload, joinedload + +from datajunction_server.database.node import NodeRevision, NodeType, Node +from datajunction_server.internal.nodes import derive_frozen_measures +from datajunction_server.utils import get_settings + +settings = get_settings() + + +async def backfill_measures(): + engine = create_async_engine(settings.writer_db.uri) + async_session = sessionmaker(engine, expire_on_commit=False, class_=AsyncSession) + + async with async_session() as session: + async with session.begin(): + # Get all latest metric node revisions + metric_revisions = [ + metric + for metric in ( + await session.execute( + sa.select(NodeRevision) + .join( + Node, + (NodeRevision.node_id == Node.id) + & (NodeRevision.version == Node.current_version), + ) + .where( + NodeRevision.type == NodeType.METRIC, + sa.not_(NodeRevision.name.like("system.temp%")), + ) + .options( + selectinload(NodeRevision.parents).options( + joinedload(Node.current), + ), + selectinload(NodeRevision.frozen_measures), + ), + ) + ) + .unique() + .scalars() + .all() + if not metric.name.startswith("system.temp") + ] + print(f"Found {len(metric_revisions)} metric revisions") + for idx, revision in enumerate(metric_revisions): + try: + print( + f"[{idx + 1}/{len(metric_revisions)}] Processing metric revision {revision.name}@{revision.version}", + ) + derived_measures = [ + m for m in await derive_frozen_measures(session, revision) if m + ] + print( + f"[{idx + 1}/{len(metric_revisions)}] Derived the following frozen measures: {[m.name for m in derived_measures]}", + ) + + for frozen_measure in derived_measures: + session.add(frozen_measure) + with session.no_autoflush: + if frozen_measure not in revision.frozen_measures: + revision.frozen_measures.append(frozen_measure) + print( + f"[{idx + 1}/{len(metric_revisions)}] Added frozen measures: {[m.name for m in derived_measures]}", + ) + session.add(revision) + print("---") + except Exception as exc: + print( + "[{idx+1}/{len(metric_revisions)}] Failed to process", + derived_measures, + ) + print(exc) + raise exc + + await session.commit() + + +if __name__ == "__main__": + asyncio.run(backfill_measures()) diff --git a/datajunction-server/tests/__init__.py b/datajunction-server/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/api/__init__.py b/datajunction-server/tests/api/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/api/access_test.py b/datajunction-server/tests/api/access_test.py new file mode 100644 index 000000000..64ba10f69 --- /dev/null +++ b/datajunction-server/tests/api/access_test.py @@ -0,0 +1,245 @@ +""" +Tests for access control across APIs. +""" + +from http import HTTPStatus +import pytest +from httpx import AsyncClient + +from datajunction_server.internal.access.authorization import AuthorizationService +from datajunction_server.models import access +from datajunction_server.models.access import ResourceType + + +class DenyAllAuthorizationService(AuthorizationService): + """ + Custom authorization service that denies all access. + """ + + name = "deny_all" + + def authorize(self, auth_context, requests): + return [ + access.AccessDecision(request=request, approved=False) + for request in requests + ] + + +class NamespaceOnlyAuthorizationService(AuthorizationService): + """ + Authorization service that allows namespace access but denies all node access. + """ + + name = "namespace_only" + + def __init__(self, allowed_namespaces: list[str]): + self.allowed_namespaces = allowed_namespaces + + def authorize(self, auth_context, requests): + decisions = [] + for request in requests: + approved = False + if request.access_object.resource_type == ResourceType.NAMESPACE: + # Allow access to specified namespaces + approved = request.access_object.name in self.allowed_namespaces + # Deny all NODE access + decisions.append(access.AccessDecision(request=request, approved=approved)) + return decisions + + +class PartialNodeAuthorizationService(AuthorizationService): + """ + Authorization service that allows access to specific namespaces and nodes. + """ + + name = "partial_node" + + def __init__(self, allowed_namespaces: list[str], allowed_nodes: list[str]): + self.allowed_namespaces = allowed_namespaces + self.allowed_nodes = allowed_nodes + + def authorize(self, auth_context, requests): + decisions = [] + for request in requests: + approved = False + if request.access_object.resource_type == ResourceType.NAMESPACE: + approved = request.access_object.name in self.allowed_namespaces + elif request.access_object.resource_type == ResourceType.NODE: + approved = request.access_object.name in self.allowed_nodes + decisions.append(access.AccessDecision(request=request, approved=approved)) + return decisions + + +class TestDataAccessControl: + """ + Test the data access control. + """ + + @pytest.mark.asyncio + async def test_get_metric_data_unauthorized( + self, + module__client_with_examples: AsyncClient, + mocker, + ) -> None: + """ + Test retrieving data for a metric + """ + + def get_deny_all_service(): + return DenyAllAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_deny_all_service, + ) + response = await module__client_with_examples.get("/data/basic.num_comments/") + data = response.json() + assert "Access denied to" in data["message"] + assert "basic.num_comments" in data["message"] + assert response.status_code == HTTPStatus.FORBIDDEN + + @pytest.mark.asyncio + async def test_sql_with_filters_orderby_no_access( + self, + module__client_with_examples: AsyncClient, + mocker, + ): + """ + Test ``GET /sql/{node_name}/`` with various filters and dimensions using a + version of the DJ roads database with namespaces. + """ + + def get_deny_all_service(): + return DenyAllAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_deny_all_service, + ) + + node_name = "foo.bar.num_repair_orders" + dimensions = [ + "foo.bar.hard_hat.city", + "foo.bar.hard_hat.last_name", + "foo.bar.dispatcher.company_name", + "foo.bar.municipality_dim.local_region", + ] + filters = [ + "foo.bar.repair_orders.dispatcher_id=1", + "foo.bar.hard_hat.state != 'AZ'", + "foo.bar.dispatcher.phone = '4082021022'", + "foo.bar.repair_orders.order_date >= '2020-01-01'", + ] + orderby = ["foo.bar.hard_hat.last_name"] + response = await module__client_with_examples.get( + f"/sql/{node_name}/", + params={"dimensions": dimensions, "filters": filters, "orderby": orderby}, + ) + data = response.json() + assert "Access denied to" in data["message"] + assert "foo.bar" in data["message"] + assert response.status_code == HTTPStatus.FORBIDDEN + + +class TestNamespaceAccessControl: + """ + Test access control for the ``GET /namespaces/{namespace}/`` endpoint. + """ + + @pytest.mark.asyncio + async def test_list_nodes_with_no_namespace_access( + self, + module__client_with_examples: AsyncClient, + mocker, + ): + """ + User with no namespace READ access should get empty list. + """ + + def get_deny_all_service(): + return DenyAllAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_deny_all_service, + ) + + response = await module__client_with_examples.get("/namespaces/default/") + assert response.status_code == HTTPStatus.OK + data = response.json() + assert data == [] + + @pytest.mark.asyncio + async def test_list_nodes_with_namespace_access_but_no_node_access( + self, + module__client_with_examples: AsyncClient, + mocker, + ): + """ + User with namespace READ access but no node READ access should get empty list. + """ + + def get_namespace_only_service(): + return NamespaceOnlyAuthorizationService(allowed_namespaces=["default"]) + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_namespace_only_service, + ) + + response = await module__client_with_examples.get("/namespaces/default/") + assert response.status_code == HTTPStatus.OK + data = response.json() + assert data == [] + + @pytest.mark.asyncio + async def test_list_nodes_with_partial_node_access( + self, + module__client_with_examples: AsyncClient, + mocker, + ): + """ + User with namespace access and partial node access should get filtered list. + """ + allowed_nodes = [ + "default.repair_orders", + "default.hard_hat", + ] + + def get_partial_service(): + return PartialNodeAuthorizationService( + allowed_namespaces=["default"], + allowed_nodes=allowed_nodes, + ) + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_partial_service, + ) + + response = await module__client_with_examples.get("/namespaces/default/") + assert response.status_code == HTTPStatus.OK + data = response.json() + + # Should only return the allowed nodes + returned_names = [node["name"] for node in data] + assert set(returned_names) == set(allowed_nodes) + + @pytest.mark.asyncio + async def test_list_nodes_with_full_access( + self, + module__client_with_examples: AsyncClient, + ): + """ + User with full access (PassthroughAuthorizationService) should get all nodes. + Default test client uses PassthroughAuthorizationService. + """ + response = await module__client_with_examples.get("/namespaces/default/") + assert response.status_code == HTTPStatus.OK + data = response.json() + + # Should return multiple nodes (the roads example has many) + assert len(data) > 0 + # Verify we get node details + assert all("name" in node for node in data) + assert all(node["name"].startswith("default.") for node in data) diff --git a/datajunction-server/tests/api/attributes_test.py b/datajunction-server/tests/api/attributes_test.py new file mode 100644 index 000000000..f1ceff951 --- /dev/null +++ b/datajunction-server/tests/api/attributes_test.py @@ -0,0 +1,112 @@ +""" +Tests for the attributes API. +""" + +from unittest.mock import ANY + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_adding_new_attribute( + module__client: AsyncClient, +) -> None: + """ + Test adding an attribute. + """ + response = await module__client.post( + "/attributes/", + json={ + "namespace": "custom", + "name": "internal", + "description": "Column for internal use only", + "allowed_node_types": ["source"], + }, + ) + data = response.json() + assert response.status_code == 201 + assert data == { + "id": ANY, + "namespace": "custom", + "name": "internal", + "description": "Column for internal use only", + "uniqueness_scope": [], + "allowed_node_types": ["source"], + } + + response = await module__client.post( + "/attributes/", + json={ + "namespace": "custom", + "name": "internal", + "description": "Column for internal use only", + "allowed_node_types": ["source"], + }, + ) + assert response.status_code == 409 + data = response.json() + assert data == { + "message": "Attribute type `internal` already exists!", + "errors": [], + "warnings": [], + } + + response = await module__client.post( + "/attributes/", + json={ + "namespace": "system", + "name": "logging", + "description": "Column for logging use only", + "allowed_node_types": ["source"], + }, + ) + assert response.status_code == 422 + data = response.json() + assert data == { + "message": "Cannot use `system` as the attribute type namespace as it is reserved.", + "errors": [], + "warnings": [], + } + + +@pytest.mark.asyncio +async def test_list_system_attributes( + module__client: AsyncClient, +) -> None: + """ + Test listing attributes. These should contain the default attributes. + """ + response = await module__client.get("/attributes/") + assert response.status_code == 200 + data = response.json() + data = { + type_["name"]: {k: type_[k] for k in (type_.keys() - {"id"})} for type_ in data + } + data_for_system = {k: v for k, v in data.items() if v["namespace"] == "system"} + assert data_for_system == { + "primary_key": { + "namespace": "system", + "uniqueness_scope": [], + "allowed_node_types": ["source", "transform", "dimension"], + "name": "primary_key", + "description": "Points to a column which is part of the primary key of the node", + }, + "dimension": { + "namespace": "system", + "uniqueness_scope": [], + "allowed_node_types": ["source", "transform"], + "name": "dimension", + "description": "Points to a dimension attribute column", + }, + "hidden": { + "namespace": "system", + "uniqueness_scope": [], + "allowed_node_types": ["dimension"], + "name": "hidden", + "description": ( + "Points to a dimension column that's not useful " + "for end users and should be hidden" + ), + }, + } diff --git a/datajunction-server/tests/api/catalog_test.py b/datajunction-server/tests/api/catalog_test.py new file mode 100644 index 000000000..d8a67f8df --- /dev/null +++ b/datajunction-server/tests/api/catalog_test.py @@ -0,0 +1,406 @@ +""" +Tests for the catalog API. +""" + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_catalog_adding_a_new_catalog( + module__client: AsyncClient, +) -> None: + """ + Test adding a catalog + """ + response = await module__client.post( + "/catalogs/", + json={ + "name": "dev-1", + }, + ) + data = response.json() + assert response.status_code == 201 + assert data == {"name": "dev-1", "engines": []} + + +@pytest.mark.asyncio +async def test_catalog_list( + module__client: AsyncClient, +) -> None: + """ + Test listing catalogs + """ + response = await module__client.post( + "/engines/", + json={ + "name": "spark", + "version": "3.3.1", + "dialect": "spark", + }, + ) + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/", + json={ + "name": "cat-dev", + "engines": [ + { + "name": "spark", + "version": "3.3.1", + "dialect": "spark", + }, + ], + }, + ) + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/", + json={ + "name": "cat-test", + }, + ) + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/", + json={ + "name": "cat-prod", + }, + ) + assert response.status_code == 201 + + response = await module__client.get("/catalogs/") + assert response.status_code == 200 + filtered_response = [ + cat for cat in response.json() if cat["name"].startswith("cat-") + ] + catalogs_by_name = {cat["name"]: cat for cat in filtered_response} + + # Check that cat-dev exists and has the spark 3.3.1 engine we added + assert "cat-dev" in catalogs_by_name + engine_versions = { + (e["name"], e["version"]) for e in catalogs_by_name["cat-dev"]["engines"] + } + assert ("spark", "3.3.1") in engine_versions + + # Check that cat-test and cat-prod exist + assert "cat-test" in catalogs_by_name + assert "cat-prod" in catalogs_by_name + + +@pytest.mark.asyncio +async def test_catalog_get_catalog( + module__client: AsyncClient, +) -> None: + """ + Test getting a catalog + """ + response = await module__client.post( + "/engines/", + json={ + "name": "one-spark", + "version": "3.3.1", + "dialect": "spark", + }, + ) + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/", + json={ + "name": "one-dev", + "engines": [ + { + "name": "one-spark", + "version": "3.3.1", + "dialect": "spark", + }, + ], + }, + ) + assert response.status_code == 201 + + response = await module__client.get( + "/catalogs/one-dev", + ) + assert response.status_code == 200 + data = response.json() + assert data == { + "name": "one-dev", + "engines": [ + {"name": "one-spark", "uri": None, "version": "3.3.1", "dialect": "spark"}, + ], + } + + +@pytest.mark.asyncio +async def test_catalog_adding_a_new_catalog_with_engines( + module__client: AsyncClient, +) -> None: + """ + Test adding a catalog with engines + """ + response = await module__client.post( + "/engines/", + json={ + "name": "two-spark", + "uri": None, + "version": "3.3.1", + "dialect": "spark", + }, + ) + data = response.json() + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/", + json={ + "name": "two-dev", + "engines": [ + { + "name": "two-spark", + "version": "3.3.1", + "dialect": "spark", + }, + ], + }, + ) + data = response.json() + assert response.status_code == 201 + assert data == { + "name": "two-dev", + "engines": [ + { + "name": "two-spark", + "uri": None, + "version": "3.3.1", + "dialect": "spark", + }, + ], + } + + +@pytest.mark.asyncio +async def test_catalog_adding_a_new_catalog_then_attaching_engines( + module__client: AsyncClient, +) -> None: + """ + Test adding a catalog then attaching a catalog + """ + response = await module__client.post( + "/engines/", + json={ + "name": "spark-3", + "uri": None, + "version": "3.3.1", + "dialect": "spark", + }, + ) + data = response.json() + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/", + json={ + "name": "dev-3", + }, + ) + assert response.status_code == 201 + + await module__client.post( + "/catalogs/dev-3/engines/", + json=[ + { + "name": "spark-3", + "version": "3.3.1", + "dialect": "spark", + }, + ], + ) + + response = await module__client.get("/catalogs/dev-3/") + data = response.json() + assert data == { + "name": "dev-3", + "engines": [ + { + "name": "spark-3", + "uri": None, + "version": "3.3.1", + "dialect": "spark", + }, + ], + } + + +@pytest.mark.asyncio +async def test_catalog_adding_without_duplicating( + module__client: AsyncClient, +) -> None: + """ + Test adding a catalog and having existing catalogs not re-added + """ + response = await module__client.post( + "/engines/", + json={ + "name": "spark-4", + "uri": None, + "version": "2.4.4", + "dialect": "spark", + }, + ) + data = response.json() + assert response.status_code == 201 + + response = await module__client.post( + "/engines/", + json={ + "name": "spark-4", + "version": "3.3.0", + "dialect": "spark", + }, + ) + data = response.json() + assert response.status_code == 201 + + response = await module__client.post( + "/engines/", + json={ + "name": "spark-4", + "version": "3.3.1", + "dialect": "spark", + }, + ) + data = response.json() + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/", + json={ + "name": "dev-4", + "dialect": "spark", + }, + ) + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/dev-4/engines/", + json=[ + { + "name": "spark-4", + "version": "2.4.4", + "dialect": "spark", + }, + { + "name": "spark-4", + "version": "3.3.0", + "dialect": "spark", + }, + { + "name": "spark-4", + "version": "3.3.1", + "dialect": "spark", + }, + ], + ) + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/dev-4/engines/", + json=[ + { + "name": "spark-4", + "version": "2.4.4", + "dialect": "spark", + }, + { + "name": "spark-4", + "version": "3.3.0", + "dialect": "spark", + }, + { + "name": "spark-4", + "version": "3.3.1", + "dialect": "spark", + }, + ], + ) + assert response.status_code == 201 + data = response.json() + assert data == { + "name": "dev-4", + "engines": [ + { + "name": "spark-4", + "uri": None, + "version": "2.4.4", + "dialect": "spark", + }, + { + "name": "spark-4", + "uri": None, + "version": "3.3.0", + "dialect": "spark", + }, + { + "name": "spark-4", + "uri": None, + "version": "3.3.1", + "dialect": "spark", + }, + ], + } + + +@pytest.mark.asyncio +async def test_catalog_raise_on_adding_a_new_catalog_with_nonexistent_engines( + module__client: AsyncClient, +) -> None: + """ + Test raising an error when adding a catalog with engines that do not exist + """ + response = await module__client.post( + "/catalogs/", + json={ + "name": "dev", + "engines": [ + { + "name": "spark", + "version": "4.0.0", + "dialect": "spark", + }, + ], + }, + ) + data = response.json() + assert response.status_code == 404 + assert data == {"detail": "Engine not found: `spark` version `4.0.0`"} + + +@pytest.mark.asyncio +async def test_catalog_raise_on_catalog_already_exists( + module__client: AsyncClient, +) -> None: + """ + Test raise on catalog already exists + """ + response = await module__client.post( + "/catalogs/", + json={ + "name": "dev", + }, + ) + assert response.status_code == 201 + + response = await module__client.post( + "/catalogs/", + json={ + "name": "dev", + }, + ) + data = response.json() + assert response.status_code == 409 + assert data == {"detail": "Catalog already exists: `dev`"} diff --git a/datajunction-server/tests/api/client_test.py b/datajunction-server/tests/api/client_test.py new file mode 100644 index 000000000..b98f7b9e1 --- /dev/null +++ b/datajunction-server/tests/api/client_test.py @@ -0,0 +1,375 @@ +""" +Tests for client code generator. +""" + +import os +from pathlib import Path + +import pytest +from httpx import AsyncClient + +TEST_DIR = os.path.dirname(os.path.abspath(__file__)) + + +@pytest.fixture +def load_expected_file(): + """ + Loads expected fixture file + """ + + def _load(filename: str): + expected_path = TEST_DIR / Path("files/client_test") + with open(expected_path / filename, encoding="utf-8") as fe: + return fe.read().strip() + + return _load + + +def trim_trailing_whitespace(string: str) -> str: + """Trim trailing whitespace on each line""" + return "\n".join([chunk.rstrip() for chunk in string.split("\n")]).strip() + + +@pytest.mark.asyncio +async def test_generated_python_client_code_new_source( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Test generating Python client code for creating a new source + """ + expected = load_expected_file("register_table.txt") + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.repair_order_details" + "?include_client_setup=false", + ) + assert trim_trailing_whitespace(response.json()) == expected + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.repair_order_details" + "?include_client_setup=false&replace_namespace=%7Bnamespace%7D", + ) + assert trim_trailing_whitespace(response.json()) == expected + + +@pytest.mark.asyncio +async def test_generated_python_client_code_new_transform( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Test generating Python client code for creating a new transform + """ + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.regional_level_agg" + "?include_client_setup=false", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file("create_transform.regional_level_agg.txt").strip() + ) + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.regional_level_agg" + "?include_client_setup=false&replace_namespace=%7Bnamespace%7D", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file( + "create_transform.regional_level_agg.namespace.txt", + ).strip() + ) + + +@pytest.mark.asyncio +async def test_generated_python_client_code_new_dimension( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Test generating Python client code for creating a new dimension + """ + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.repair_order" + "?include_client_setup=false", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file("create_dimension.repair_order.txt").strip() + ) + + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.repair_order" + "?include_client_setup=false&replace_namespace=%7Bnamespace%7D", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file("create_dimension.repair_order.namespace.txt").strip() + ) + + +@pytest.mark.asyncio +async def test_generated_python_client_code_new_metric( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Test generating Python client code for creating a new metric + """ + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.num_repair_orders" + "?include_client_setup=false", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file("create_metric.num_repair_orders.txt").strip() + ) + + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.num_repair_orders" + "?include_client_setup=false&replace_namespace=%7Bnamespace%7D", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file("create_metric.num_repair_orders.namespace.txt").strip() + ) + + +@pytest.mark.asyncio +async def test_generated_python_client_code_new_cube( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Test generating Python client code for creating a new cube + """ + await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders", "default.total_repair_cost"], + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.city", + ], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + }, + ) + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.repairs_cube" + "?include_client_setup=false", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file("create_cube.repairs_cube.txt").strip() + ) + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.repairs_cube" + "?include_client_setup=false&replace_namespace=%7Bnamespace%7D", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file( + "create_cube.repairs_cube.namespace.txt", + ).strip() + ) + + +@pytest.mark.asyncio +async def test_generated_python_client_code_link_dimension( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Test generating Python client code for creating a new dimension + """ + response = await module__client_with_roads.get( + "/datajunction-clients/python/dimension_links/default.repair_orders/" + "?include_client_setup=false", + ) + assert ( + response.json().strip() + == load_expected_file("dimension_links.repair_orders.txt").strip() + ) + # When replace_namespace is set, verify that the namespaces are replaced in the + # dimension links' join SQL + response = await module__client_with_roads.get( + "/datajunction-clients/python/dimension_links/default.repair_orders/" + "?include_client_setup=false&replace_namespace=%7Bnamespace%7D", + ) + assert ( + response.json().strip() + == load_expected_file( + "dimension_links.repair_orders.namespace.txt", + ).strip() + ) + + +@pytest.mark.asyncio +async def test_include_client_setup( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Generate create new node python client code with client setup included. + """ + response = await module__client_with_roads.get( + "/datajunction-clients/python/new_node/default.num_repair_orders" + "?include_client_setup=true", + ) + assert ( + trim_trailing_whitespace(response.json()).strip() + == load_expected_file("include_client_setup.txt").strip() + ) + + +@pytest.mark.asyncio +async def test_export_namespace_as_notebook( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Verify exporting all nodes in a namespace as a notebook. + """ + response = await module__client_with_roads.post( + "/nodes/default.repair_order_details/columns/repair_type_id/attributes/", + json=[ + { + "namespace": "system", + "name": "dimension", + }, + ], + ) + response = await module__client_with_roads.get( + "/datajunction-clients/python/notebook?namespace=default", + ) + assert ( + response.headers["content-disposition"] == 'attachment; filename="export.ipynb"' + ) + notebook = response.json() + assert len(notebook["cells"]) >= 50 + # Intro cell + assert notebook["cells"][0]["cell_type"] == "markdown" + assert ( + "## DJ Namespace Export\n\nExported `default`" in notebook["cells"][0]["source"] + ) + + # Client setup cell + assert notebook["cells"][1]["cell_type"] == "code" + assert "from datajunction import" in notebook["cells"][1]["source"] + + # Documenting what nodes are being upserted cell + assert notebook["cells"][2]["cell_type"] == "markdown" + assert "### Upserting Nodes:" in notebook["cells"][2]["source"] + + # Namespace mapping configuration cell + assert notebook["cells"][3]["cell_type"] == "code" + assert ( + notebook["cells"][3]["source"] + == """# A mapping from current namespaces to new namespaces +# Note: Editing the mapping will result in the nodes under that namespace getting +# copied to the new namespace + +NAMESPACE_MAPPING = { + "default": "default", +}""" + ) + + # Registering table + assert notebook["cells"][4]["cell_type"] == "code" + assert load_expected_file("register_table.txt").strip() in [ + content["source"] for content in notebook["cells"] + ] + + # Linking dimensions for table + assert "Linking dimensions for source node `default.repair_order_details`:" in [ + content["source"] for content in notebook["cells"] + ] + assert load_expected_file( + "notebook.link_dimension.txt", + ).strip() in [content["source"] for content in notebook["cells"]] + # Check column attributes + assert load_expected_file( + "notebook.set_attribute.txt", + ).strip() in [content["source"] for content in notebook["cells"]] + + +@pytest.mark.asyncio +async def test_export_cube_as_notebook( + module__client_with_roads: AsyncClient, + load_expected_file, +): + """ + Verify exporting all nodes relevant for a cube as a notebook. + """ + await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders", "default.total_repair_cost"], + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.city", + ], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.roads_cube", + }, + ) + response = await module__client_with_roads.get( + "/datajunction-clients/python/notebook?cube=default.roads_cube", + ) + assert ( + response.headers["content-disposition"] == 'attachment; filename="export.ipynb"' + ) + notebook = response.json() + assert len(notebook["cells"]) == 10 + + # Intro cell + assert notebook["cells"][0]["cell_type"] == "markdown" + assert ( + "## DJ Cube Export\n\nExported `default.roads_cube` v1.0" + in notebook["cells"][0]["source"] + ) + + # Documenting which nodes are getting exported + nodes_cell_source = notebook["cells"][2]["source"] + assert "### Upserting Nodes:" in nodes_cell_source + # These nodes should be in the export + assert "default.repair_orders_fact" in nodes_cell_source + assert "default.num_repair_orders" in nodes_cell_source + assert "default.total_repair_cost" in nodes_cell_source + assert "default.roads_cube" in nodes_cell_source + + # Export first transform + assert trim_trailing_whitespace( + notebook["cells"][4]["source"], + ) == load_expected_file( + "notebook.create_transform.txt", + ) + + # Include sources and dimensions + response = await module__client_with_roads.get( + "/datajunction-clients/python/notebook?cube=default.roads_cube" + "&include_sources=true&include_dimensions=true", + ) + notebook = response.json() + assert len(notebook["cells"]) >= 20 + assert "### Upserting Nodes:" in notebook["cells"][2]["source"] + assert load_expected_file( + "notebook.create_cube.txt", + ).strip() in [ + trim_trailing_whitespace(content["source"]) for content in notebook["cells"] + ] + + +@pytest.mark.asyncio +async def test_export_notebook_failures(module__client_with_roads: AsyncClient): + """ + Verify that trying to set both cube and namespace when exporting to a notebook will fail + """ + response = await module__client_with_roads.get( + "/datajunction-clients/python/notebook?namespace=default&cube=default.roads_cube", + ) + assert ( + response.json()["message"] + == "Can only specify export of either a namespace or a cube." + ) diff --git a/datajunction-server/tests/api/collections_test.py b/datajunction-server/tests/api/collections_test.py new file mode 100644 index 000000000..82acfd066 --- /dev/null +++ b/datajunction-server/tests/api/collections_test.py @@ -0,0 +1,207 @@ +""" +Tests for the collections API. +""" + +import pytest +from httpx import AsyncClient + + +class TestCollections: + """ + Test ``POST /collections/``. + """ + + @pytest.mark.asyncio + async def test_collections_creating( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test creating a new collection + """ + response = await module__client_with_account_revenue.post( + "/collections/", + json={ + "name": "Accounting", + "description": "This is a collection that contains accounting related nodes", + }, + ) + data = response.json() + assert response.status_code == 201 + + # Ensure the collection shows up in collections list + response = await module__client_with_account_revenue.get( + "/collections/", + ) + assert response.status_code == 200 + + data = response.json() + assert data == [ + { + "id": 1, + "name": "Accounting", + "description": "This is a collection that contains accounting related nodes", + }, + ] + + # Ensure that creating the same collection again returns a 409 + response = await module__client_with_account_revenue.post( + "/collections/", + json={ + "name": "Accounting", + "description": "This is a collection that contains accounting related nodes", + }, + ) + data = response.json() + assert response.status_code == 409 + assert "Collection already exists" in str(data) + + @pytest.mark.asyncio + async def test_collections_adding( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test adding a node to a collection + """ + # Create a collection + response = await module__client_with_account_revenue.post( + "/collections/", + json={ + "name": "Revenue Project", + "description": "A collection for nodes related to a revenue project", + }, + ) + assert response.status_code == 201 + + # Add a node to a collection + response = await module__client_with_account_revenue.post( + "/collections/Revenue%20Project/nodes/", + json=["default.payment_type", "default.revenue"], + ) + assert response.status_code == 204 + + @pytest.mark.asyncio + async def test_collections__nodes_not_found_when_adding( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test adding a node to a collection when the nodes can't be found + """ + # Create a collection + response = await module__client_with_account_revenue.post( + "/collections/", + json={ + "name": "My Collection", + "description": "This is a collection that contains accounting related nodes", + }, + ) + assert response.status_code == 201 + + # Add a node to a collection + response = await module__client_with_account_revenue.post( + "/collections/My%20Collection/nodes/", + json=["foo.bar", "baz.qux"], + ) + assert response.status_code == 404 + + @pytest.mark.asyncio + async def test_collections_removing_nodes( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test removing a node from a collection + """ + # Create a collection + response = await module__client_with_account_revenue.post( + "/collections/", + json={ + "name": "add_then_remove", + "description": "A collection to test adding and removing a node", + }, + ) + data = response.json() + assert response.status_code == 201 + + # Add a node to a collection + response = await module__client_with_account_revenue.post( + "/collections/add_then_remove/nodes/", + json=["default.payment_type"], + ) + assert response.status_code == 204 + + # Remove the node from the collection + response = await module__client_with_account_revenue.post( + "/collections/add_then_remove/remove/", + json=["default.payment_type", "default.revenue"], + ) + assert response.status_code == 204 + + # Confirm node no longer found in collection + response = await module__client_with_account_revenue.get( + "/collections/add_then_remove", + ) + data = response.json() + for node in data["nodes"]: + assert node["name"] != "default.payment_type" + + @pytest.mark.asyncio + async def test_collections_no_errors_when_removing( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test removing a node from a collection when the node can't be found + """ + # Create a collection + response = await module__client_with_account_revenue.post( + "/collections/", + json={ + "name": "Removing Nodes", + "description": "This is a collection to test for no errors when removing nodes", + }, + ) + assert response.status_code == 201 + + # Remove the node from the collection + response = await module__client_with_account_revenue.post( + "/collections/Removing%20Nodes/remove/", + json=["foo.bar", "baz.qux"], + ) + assert response.status_code == 204 + + @pytest.mark.asyncio + async def test_collections_deleting( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test removing a collection + """ + # Create a collection + response = await module__client_with_account_revenue.post( + "/collections/", + json={ + "name": "DeleteMe", + "description": "This collection will be deleted", + }, + ) + assert response.status_code == 201 + + # Remove the collection + response = await module__client_with_account_revenue.delete( + "/collections/DeleteMe", + ) + assert response.status_code == 204 + + # Ensure the collection does not show up in collections list + response = await module__client_with_account_revenue.get( + "/collections/", + ) + assert response.status_code == 200 + + data = response.json() + for collection in data: + assert collection["name"] != "DeleteMe" diff --git a/datajunction-server/tests/api/cubes_build_metrics_spec_test.py b/datajunction-server/tests/api/cubes_build_metrics_spec_test.py new file mode 100644 index 000000000..64c14bb34 --- /dev/null +++ b/datajunction-server/tests/api/cubes_build_metrics_spec_test.py @@ -0,0 +1,376 @@ +""" +Tests for _build_metrics_spec function in cubes.py. + +This function builds Druid metricsSpec from measure columns and their components. +""" + +from datajunction_server.api.cubes import _build_metrics_spec +from datajunction_server.models.decompose import AggregationRule, MetricComponent +from datajunction_server.models.query import ColumnMetadata + + +def _make_component( + name: str, + aggregation: str | None = None, + merge: str | None = None, +) -> MetricComponent: + """Helper to create a MetricComponent with minimal required fields.""" + return MetricComponent( + name=name, + expression=name, # Simplified for testing + aggregation=aggregation, + merge=merge, + rule=AggregationRule(), + ) + + +def _make_column(name: str, col_type: str = "bigint") -> ColumnMetadata: + """Helper to create ColumnMetadata with minimal required fields.""" + return ColumnMetadata(name=name, type=col_type) + + +class TestBuildMetricsSpec: + """Tests for _build_metrics_spec function.""" + + def test_empty_inputs(self): + """Empty inputs should return empty list.""" + result = _build_metrics_spec([], [], {}) + assert result == [] + + def test_direct_component_lookup_with_sum(self): + """Component name matches column name directly - SUM aggregation.""" + columns = [_make_column("total_revenue", "bigint")] + components = [_make_component("total_revenue", aggregation="SUM", merge="SUM")] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 1 + assert result[0] == { + "fieldName": "total_revenue", + "name": "total_revenue", + "type": "longSum", + } + + def test_direct_component_lookup_with_count(self): + """Component name matches column name - COUNT uses SUM for merge.""" + columns = [_make_column("order_count", "bigint")] + components = [_make_component("order_count", aggregation="COUNT", merge="SUM")] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 1 + assert result[0]["type"] == "longSum" + + def test_alias_lookup(self): + """Column name matches alias, needs to look up internal component name.""" + columns = [_make_column("approx_unique_users", "binary")] + components = [ + _make_component( + "user_id_hll_abc123", # Internal hashed name + aggregation="hll_sketch_agg", + merge="hll_union_agg", + ), + ] + # Alias maps internal name to output column name + aliases = {"user_id_hll_abc123": "approx_unique_users"} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 1 + assert result[0]["type"] == "HLLSketchMerge" + assert result[0]["fieldName"] == "approx_unique_users" + assert result[0]["name"] == "approx_unique_users" + # HLL sketches should have extra config + assert result[0]["lgK"] == 12 + assert result[0]["tgtHllType"] == "HLL_4" + + def test_component_not_found_fallback(self): + """Component not found should fall back to longSum.""" + columns = [_make_column("unknown_metric", "bigint")] + components = [] # No components + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 1 + assert result[0]["type"] == "longSum" + + def test_component_no_merge_no_aggregation(self): + """Component found but has no merge or aggregation - fallback to longSum.""" + columns = [_make_column("raw_value", "bigint")] + components = [ + _make_component("raw_value", aggregation=None, merge=None), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 1 + assert result[0]["type"] == "longSum" + + def test_merge_takes_precedence_over_aggregation(self): + """Merge function should be used for pre-aggregated data if available.""" + columns = [_make_column("count_col", "bigint")] + # COUNT in aggregation, but SUM for merge (this is correct for count rollup) + components = [ + _make_component("count_col", aggregation="COUNT", merge="SUM"), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 1 + # Should use merge (SUM) not aggregation (COUNT) + assert result[0]["type"] == "longSum" + + def test_aggregation_used_when_merge_is_none(self): + """When merge is None, should fall back to aggregation function.""" + columns = [_make_column("sum_col", "double")] + components = [ + _make_component("sum_col", aggregation="SUM", merge=None), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 1 + assert result[0]["type"] == "doubleSum" + + def test_hll_sketch_merge_has_extra_config(self): + """HLLSketchMerge type should include lgK and tgtHllType.""" + columns = [_make_column("hll_col", "binary")] + components = [ + _make_component( + "hll_col", + aggregation="hll_sketch_agg", + merge="hll_union_agg", + ), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 1 + assert result[0]["type"] == "HLLSketchMerge" + assert "lgK" in result[0] + assert result[0]["lgK"] == 12 + assert "tgtHllType" in result[0] + assert result[0]["tgtHllType"] == "HLL_4" + + def test_double_sum(self): + """Double type with SUM should produce doubleSum.""" + columns = [_make_column("amount", "double")] + components = [_make_component("amount", aggregation="SUM", merge="SUM")] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "doubleSum" + + def test_float_sum(self): + """Float type with SUM should produce floatSum.""" + columns = [_make_column("price", "float")] + components = [_make_component("price", aggregation="SUM", merge="SUM")] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "floatSum" + + def test_double_min_max(self): + """Double type with MIN/MAX should produce doubleMin/doubleMax.""" + columns = [ + _make_column("min_val", "double"), + _make_column("max_val", "double"), + ] + components = [ + _make_component("min_val", aggregation="MIN", merge="MIN"), + _make_component("max_val", aggregation="MAX", merge="MAX"), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "doubleMin" + assert result[1]["type"] == "doubleMax" + + def test_int_sum(self): + """Int type with SUM should produce longSum.""" + columns = [_make_column("int_col", "int")] + components = [_make_component("int_col", aggregation="SUM", merge="SUM")] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "longSum" + + def test_bigint_min_max(self): + """Bigint type with MIN/MAX should produce longMin/longMax.""" + columns = [ + _make_column("min_id", "bigint"), + _make_column("max_id", "bigint"), + ] + components = [ + _make_component("min_id", aggregation="MIN", merge="MIN"), + _make_component("max_id", aggregation="MAX", merge="MAX"), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "longMin" + assert result[1]["type"] == "longMax" + + def test_mixed_types(self): + """Multiple columns with different types and aggregations.""" + columns = [ + _make_column("revenue", "double"), + _make_column("order_count", "bigint"), + _make_column("hll_users", "binary"), + _make_column("unknown_metric", "bigint"), + ] + components = [ + _make_component("revenue", aggregation="SUM", merge="SUM"), + _make_component("order_count", aggregation="COUNT", merge="SUM"), + _make_component( + "hll_users_internal", + aggregation="hll_sketch_agg", + merge="hll_union_agg", + ), + ] + aliases = {"hll_users_internal": "hll_users"} + + result = _build_metrics_spec(columns, components, aliases) + + assert len(result) == 4 + assert result[0]["type"] == "doubleSum" + assert result[1]["type"] == "longSum" + assert result[2]["type"] == "HLLSketchMerge" + assert "lgK" in result[2] # HLL has extra config + assert result[3]["type"] == "longSum" # Unknown falls back + + def test_case_insensitive_aggregation_lookup(self): + """Aggregation function lookup should be case insensitive.""" + columns = [_make_column("col", "bigint")] + components = [_make_component("col", aggregation="Sum", merge="SUM")] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "longSum" + + def test_unmapped_aggregation_type(self): + """Unmapped (type, agg) combination should fall back to longSum.""" + columns = [_make_column("special_col", "varchar")] # varchar not in mapping + components = [_make_component("special_col", aggregation="SUM", merge="SUM")] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "longSum" + + def test_float_min_max(self): + """Float type with MIN/MAX should produce floatMin/floatMax.""" + columns = [ + _make_column("min_price", "float"), + _make_column("max_price", "float"), + ] + components = [ + _make_component("min_price", aggregation="MIN", merge="MIN"), + _make_component("max_price", aggregation="MAX", merge="MAX"), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "floatMin" + assert result[1]["type"] == "floatMax" + + def test_int_min_max(self): + """Int type with MIN/MAX should produce longMin/longMax.""" + columns = [ + _make_column("min_qty", "int"), + _make_column("max_qty", "int"), + ] + components = [ + _make_component("min_qty", aggregation="MIN", merge="MIN"), + _make_component("max_qty", aggregation="MAX", merge="MAX"), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "longMin" + assert result[1]["type"] == "longMax" + + def test_count_types_use_longsum_for_merge(self): + """COUNT columns of various types should use longSum for merge.""" + # COUNT produces integers regardless of input type + columns = [ + _make_column("count_bigint", "bigint"), + _make_column("count_int", "int"), + _make_column("count_double", "double"), + _make_column("count_float", "float"), + ] + components = [ + _make_component("count_bigint", aggregation="COUNT", merge="COUNT"), + _make_component("count_int", aggregation="COUNT", merge="COUNT"), + _make_component("count_double", aggregation="COUNT", merge="COUNT"), + _make_component("count_float", aggregation="COUNT", merge="COUNT"), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + # All COUNT merges should map to longSum + for r in result: + assert r["type"] == "longSum" + + def test_hll_sketch_agg_binary_type(self): + """Binary type with hll_sketch_agg should produce HLLSketchMerge.""" + columns = [_make_column("sketch_col", "binary")] + components = [ + _make_component( + "sketch_col", + aggregation="hll_sketch_agg", + merge="hll_sketch_agg", + ), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert result[0]["type"] == "HLLSketchMerge" + assert result[0]["lgK"] == 12 + assert result[0]["tgtHllType"] == "HLL_4" + + def test_non_hll_sketch_type_no_extra_config(self): + """Non-HLL types should NOT have lgK or tgtHllType.""" + columns = [_make_column("sum_col", "bigint")] + components = [_make_component("sum_col", aggregation="SUM", merge="SUM")] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert "lgK" not in result[0] + assert "tgtHllType" not in result[0] + + def test_preserves_column_order(self): + """Output should preserve input column order.""" + columns = [ + _make_column("z_col", "bigint"), + _make_column("a_col", "bigint"), + _make_column("m_col", "bigint"), + ] + components = [ + _make_component("z_col", aggregation="SUM", merge="SUM"), + _make_component("a_col", aggregation="SUM", merge="SUM"), + _make_component("m_col", aggregation="SUM", merge="SUM"), + ] + aliases = {} + + result = _build_metrics_spec(columns, components, aliases) + + assert [r["name"] for r in result] == ["z_col", "a_col", "m_col"] diff --git a/datajunction-server/tests/api/cubes_test.py b/datajunction-server/tests/api/cubes_test.py new file mode 100644 index 000000000..7d7b214d4 --- /dev/null +++ b/datajunction-server/tests/api/cubes_test.py @@ -0,0 +1,4285 @@ +""" +Tests for the cubes API. +""" + +from typing import Dict, Iterator +from unittest import mock + +import pytest +import pytest_asyncio +from httpx import AsyncClient + +from datajunction_server.construction.build_v3.combiners import ( + TemporalPartitionInfo, +) +from datajunction_server.models.cube import CubeElementMetadata +from datajunction_server.models.node import ColumnOutput +from datajunction_server.models.query import ColumnMetadata, V3ColumnMetadata +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.utils import get_query_service_client +from tests.sql.utils import compare_query_strings +from tests.construction.build_v3 import assert_sql_equal + + +async def make_a_test_cube( + client: AsyncClient, + cube_name: str, + with_materialization: bool = True, + metrics_or_measures: str = "metrics", +): + """ + Make a new cube with a temporal partition. + """ + # Make an isolated cube + metrics_list = [ + "default.discounted_orders_rate", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.total_repair_order_discounts", + ] + response = await client.post( + "/nodes/cube/", + json={ + "metrics": metrics_list + ["default.double_total_repair_cost"], + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.hire_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": f"{cube_name}", + }, + ) + assert response.status_code < 400, response.json() + if with_materialization: + # add materialization to the cube + response = await client.post( + f"/nodes/{cube_name}/columns/default.hard_hat.hire_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + assert response.status_code < 400, response.json() + response = await client.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_metrics_cube" + if metrics_or_measures == "metrics" + else "druid_measures_cube", + "strategy": "incremental_time", + "config": { + "spark": {}, + }, + "schedule": "", + }, + ) + assert response.status_code < 400, response.json() + + +@pytest.mark.asyncio +async def test_read_cube(module__client_with_account_revenue: AsyncClient) -> None: + """ + Test ``GET /cubes/{name}``. + """ + # Create a cube + response = await module__client_with_account_revenue.post( + "/nodes/cube/", + json={ + "metrics": ["default.number_of_account_types"], + "dimensions": ["default.account_type.account_type_name"], + "filters": [], + "description": "A cube of number of accounts grouped by account type", + "mode": "published", + "name": "default.number_of_accounts_by_account_type", + }, + ) + assert response.status_code == 201 + data = response.json() + assert data["version"] == "v1.0" + assert data["type"] == "cube" + assert data["name"] == "default.number_of_accounts_by_account_type" + assert data["display_name"] == "Number Of Accounts By Account Type" + assert data["mode"] == "published" + assert data["tags"] == [] + + # Read the cube + response = await module__client_with_account_revenue.get( + "/cubes/default.number_of_accounts_by_account_type", + ) + assert response.status_code == 200 + data = response.json() + assert data["type"] == "cube" + assert data["name"] == "default.number_of_accounts_by_account_type" + assert data["display_name"] == "Number Of Accounts By Account Type" + assert data["version"] == "v1.0" + assert data["description"] == "A cube of number of accounts grouped by account type" + + +@pytest.mark.asyncio +async def test_create_invalid_cube(module__client_with_account_revenue: AsyncClient): + """ + Check that creating a cube with a query fails appropriately + """ + # Check that creating a cube with no metrics fails appropriately + response = await module__client_with_account_revenue.post( + "/nodes/cube/", + json={ + "description": "A cube of number of accounts grouped by account type", + "mode": "published", + "query": "SELECT 1", + "cube_elements": [ + "default.number_of_account_types", + "default.account_type", + ], + "name": "default.cubes_shouldnt_have_queries", + }, + ) + assert response.status_code == 422 + data = response.json() + assert "message" in data + assert data["message"] == "At least one metric is required" + + # Check that creating a cube with no dimension attributes fails appropriately + response = await module__client_with_account_revenue.post( + "/nodes/cube/", + json={ + "metrics": ["default.account_type"], + "dimensions": ["default.account_type.account_type_name"], + "description": "A cube of number of accounts grouped by account type", + "mode": "published", + "name": "default.cubes_must_have_elements", + }, + ) + assert response.status_code == 422 + data = response.json() + assert data == { + "message": "Node default.account_type of type dimension cannot be added to a cube. " + "Did you mean to add a dimension attribute?", + "errors": [ + { + "code": 204, + "context": "", + "debug": None, + "message": "Node default.account_type of type dimension cannot be added to a " + "cube. Did you mean to add a dimension attribute?", + }, + ], + "warnings": [], + } + + # Check that creating a cube with incompatible nodes fails appropriately + response = await module__client_with_account_revenue.post( + "/nodes/cube/", + json={ + "metrics": ["default.number_of_account_types"], + "dimensions": ["default.payment_type.payment_type_name"], + "description": "", + "mode": "published", + "name": "default.cubes_cant_use_source_nodes", + }, + ) + assert response.status_code == 422 + data = response.json() + assert data == { + "message": "The dimension attribute `default.payment_type.payment_type_name` " + "is not available on every metric and thus cannot be included.", + "errors": [ + { + "code": 601, + "context": "", + "debug": None, + "message": "The dimension attribute `default.payment_type.payment_type_name` " + "is not available on every metric and thus cannot be included.", + }, + ], + "warnings": [], + } + + # Check that creating a cube with no metric nodes fails appropriately + response = await module__client_with_account_revenue.post( + "/nodes/cube/", + json={ + "metrics": [], + "dimensions": ["default.account_type.account_type_name"], + "description": "", + "mode": "published", + "name": "default.cubes_must_have_metrics", + }, + ) + assert response.status_code == 422 + data = response.json() + assert data == { + "message": "At least one metric is required", + "errors": [], + "warnings": [], + } + + +@pytest.mark.asyncio +async def test_create_cube_no_dimensions( + module__client_with_account_revenue: AsyncClient, +): + """ + Check that creating a cube with no dimension attributes works + """ + response = await module__client_with_account_revenue.post( + "/nodes/cube/", + json={ + "metrics": ["default.number_of_account_types"], + "dimensions": [], + "description": "A cube of number of accounts grouped by account type", + "mode": "published", + "name": "default.cubes_can_have_no_dimensions", + }, + ) + assert response.status_code == 201 + data = response.json() + assert data["parents"] == [{"name": "default.number_of_account_types"}] + + +@pytest.mark.asyncio +async def test_raise_on_cube_with_multiple_catalogs( + module__client_with_both_basics, +) -> None: + """ + Test raising when creating a cube with multiple catalogs + """ + # Create a cube + response = await module__client_with_both_basics.post( + "/nodes/cube/", + json={ + "metrics": ["basic.num_users", "different.basic.num_users"], + "dimensions": ["basic.dimension.users.country"], + "description": "multicatalog cube's raise an error", + "mode": "published", + "name": "default.multicatalog", + }, + ) + assert response.status_code >= 400 + data = response.json() + assert "Metrics and dimensions cannot be from multiple catalogs" in data["message"] + + +@pytest_asyncio.fixture(scope="module") +async def client_with_repairs_cube( + module__client_with_roads: AsyncClient, +): + """ + Adds a repairs cube with a new double total repair cost metric to the test client + """ + metrics_list = [ + "default.discounted_orders_rate", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.total_repair_order_discounts", + ] + + # Metric that doubles the total repair cost to test the sum(x) + sum(y) scenario + await module__client_with_roads.post( + "/nodes/metric/", + json={ + "description": "Double total repair cost", + "query": ( + "SELECT sum(price) + sum(price) as default_DOT_double_total_repair_cost " + "FROM default.repair_order_details" + ), + "mode": "published", + "name": "default.double_total_repair_cost", + }, + ) + # Should succeed + response = await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": metrics_list + ["default.double_total_repair_cost"], + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + "default.hard_hat_to_delete.hire_date", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + }, + ) + assert response.status_code == 201 + assert response.json()["version"] == "v1.0" + return module__client_with_roads + + +@pytest.fixture +def repair_orders_cube_measures() -> Dict: + """ + Fixture for repair orders cube metrics to measures mapping. + """ + return { + "default.double_total_repair_cost": { + "combiner": "sum(default_DOT_repair_order_details_DOT_price) + " + "sum(default_DOT_repair_order_details_DOT_price) AS ", + "measures": [ + { + "agg": "sum", + "field_name": "default_DOT_repair_order_details_DOT_price", + "name": "default.repair_order_details.price", + "type": "float", + }, + { + "agg": "sum", + "field_name": "default_DOT_repair_order_details_DOT_price", + "name": "default.repair_order_details.price", + "type": "float", + }, + ], + "metric": "default.double_total_repair_cost", + }, + } + + +@pytest.fixture +def repairs_cube_elements(): + """ + Fixture of repairs cube elements + """ + return [ + { + "display_name": "Discounted Orders Rate", + "name": "default_DOT_discounted_orders_rate", + "node_name": "default.discounted_orders_rate", + "partition": None, + "type": "metric", + }, + { + "display_name": "Company Name", + "name": "company_name", + "node_name": "default.dispatcher", + "partition": None, + "type": "dimension", + }, + { + "display_name": "Local Region", + "name": "local_region", + "node_name": "default.municipality_dim", + "partition": None, + "type": "dimension", + }, + { + "display_name": "Hire Date", + "name": "hire_date", + "node_name": "default.hard_hat", + "partition": None, + "type": "dimension", + }, + { + "display_name": "City", + "name": "city", + "node_name": "default.hard_hat", + "partition": None, + "type": "dimension", + }, + { + "display_name": "State", + "name": "state", + "node_name": "default.hard_hat", + "partition": None, + "type": "dimension", + }, + { + "display_name": "Postal Code", + "name": "postal_code", + "node_name": "default.hard_hat", + "partition": None, + "type": "dimension", + }, + { + "display_name": "Country", + "name": "country", + "node_name": "default.hard_hat", + "partition": None, + "type": "dimension", + }, + { + "display_name": "Num Repair Orders", + "name": "default_DOT_num_repair_orders", + "node_name": "default.num_repair_orders", + "partition": None, + "type": "metric", + }, + { + "display_name": "Avg Repair Price", + "name": "default_DOT_avg_repair_price", + "node_name": "default.avg_repair_price", + "partition": None, + "type": "metric", + }, + { + "display_name": "Total Repair Cost", + "name": "default_DOT_total_repair_cost", + "node_name": "default.total_repair_cost", + "partition": None, + "type": "metric", + }, + { + "display_name": "Total Repair Order Discounts", + "name": "default_DOT_total_repair_order_discounts", + "node_name": "default.total_repair_order_discounts", + "partition": None, + "type": "metric", + }, + { + "display_name": "Double Total Repair Cost", + "name": "default_DOT_double_total_repair_cost", + "node_name": "default.double_total_repair_cost", + "partition": None, + "type": "metric", + }, + ] + + +@pytest.mark.asyncio +async def test_invalid_cube(module__client_with_roads: AsyncClient): + """ + Test that creating a cube without valid dimensions fails + """ + metrics_list = [ + "default.discounted_orders_rate", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.total_repair_order_discounts", + ] + # Should fail because dimension attribute isn't available + response = await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": metrics_list, + "dimensions": [ + "default.contractor.company_name", + ], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + }, + ) + assert response.json()["message"] == ( + "The dimension attribute `default.contractor.company_name` " + "is not available on every metric and thus cannot be included." + ) + + +@pytest.mark.asyncio +async def test_create_cube_failures( + module__client_with_roads: AsyncClient, +): + """ + Test create cube failure cases + """ + # Creating a cube with a metric that doesn't exist should fail + response = await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": ["default.metric_that_doesnt_exist"], + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + ], + "description": "Cube with metric that doesn't exist", + "mode": "published", + "name": "default.bad_cube", + }, + ) + assert response.status_code == 404 + assert response.json() == { + "message": "The following metric nodes were not found: default.metric_that_doesnt_exist", + "errors": [ + { + "code": 203, + "context": "", + "debug": None, + "message": "The following metric nodes were not found: " + "default.metric_that_doesnt_exist", + }, + ], + "warnings": [], + } + + +@pytest.mark.asyncio +async def test_create_cube_similar_dimensions( + module__client_with_roads: AsyncClient, +): + """ + Tests cube creation for dimension attributes with the same name + but from different dimension nodes. + """ + + metrics_list = [ + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + ] + + await module__client_with_roads.post("/nodes/default.repair_order_fact/") + # Should succeed + response = await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": metrics_list, + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat_to_delete.postal_code", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube2", + }, + ) + assert response.status_code == 201 + assert response.json()["version"] == "v1.0" + + +@pytest.mark.asyncio +async def test_create_cube( + client_with_repairs_cube: AsyncClient, +): + """ + Tests cube creation and the generated cube SQL + """ + response = await client_with_repairs_cube.get("/nodes/default.repairs_cube/") + results = response.json() + + assert results["name"] == "default.repairs_cube" + assert results["display_name"] == "Repairs Cube" + assert results["description"] == "Cube of various metrics related to repairs" + + response = await client_with_repairs_cube.get("/cubes/default.repairs_cube") + cube = response.json() + + # Make sure it matches the original metrics order + metrics = [ + "default.discounted_orders_rate", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.total_repair_order_discounts", + "default.double_total_repair_cost", + ] + assert cube["cube_node_metrics"] == metrics + assert [ + elem["node_name"] for elem in cube["cube_elements"] if elem["type"] == "metric" + ] == metrics + dimensions = [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + "default.hard_hat_to_delete.hire_date", + ] + assert cube["cube_node_dimensions"] == dimensions + + metrics_query = "&".join([f"metrics={metric}" for metric in metrics]) + dimensions_query = "&".join([f"dimensions={dim}" for dim in dimensions]) + response = await client_with_repairs_cube.get( + f"/sql?{metrics_query}&{dimensions_query}&filters=default.hard_hat.state='AZ'", + ) + metrics_sql_results = response.json() + response = await client_with_repairs_cube.get( + "/sql/default.repairs_cube?filters=default.hard_hat.state='AZ'", + ) + cube_sql_results = response.json() + expected_query = """ +WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id +), default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE + default_DOT_hard_hats.state = 'AZ' +), default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers +), default_DOT_municipality_dim AS ( + SELECT + m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m + LEFT JOIN roads.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc +), default_DOT_hard_hat_to_delete AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats +), default_DOT_repair_order_details AS ( + SELECT + default_DOT_repair_order_details.repair_order_id, + default_DOT_repair_order_details.repair_type_id, + default_DOT_repair_order_details.price, + default_DOT_repair_order_details.quantity, + default_DOT_repair_order_details.discount + FROM roads.repair_order_details AS default_DOT_repair_order_details +), default_DOT_repair_order AS ( + SELECT + default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM roads.repair_orders AS default_DOT_repair_orders +), default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_hard_hat.country default_DOT_hard_hat_DOT_country, + default_DOT_hard_hat.postal_code default_DOT_hard_hat_DOT_postal_code, + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region, + default_DOT_hard_hat_to_delete.hire_date default_DOT_hard_hat_to_delete_DOT_hire_date, + CAST(sum(if(default_DOT_repair_orders_fact.discount > 0.0, 1, 0)) AS DOUBLE) / count(*) + AS default_DOT_discounted_orders_rate, + count(default_DOT_repair_orders_fact.repair_order_id) default_DOT_num_repair_orders, + avg(default_DOT_repair_orders_fact.price) default_DOT_avg_repair_price, + sum(default_DOT_repair_orders_fact.total_repair_cost) default_DOT_total_repair_cost, + sum(default_DOT_repair_orders_fact.price * default_DOT_repair_orders_fact.discount) + default_DOT_total_repair_order_discounts + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim + ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + LEFT JOIN default_DOT_hard_hat_to_delete + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat_to_delete.hard_hat_id + WHERE default_DOT_hard_hat.state = 'AZ' + GROUP BY + default_DOT_hard_hat.country, + default_DOT_hard_hat.postal_code, + default_DOT_hard_hat.city, + default_DOT_hard_hat.state, + default_DOT_dispatcher.company_name, + default_DOT_municipality_dim.local_region, + default_DOT_hard_hat_to_delete.hire_date +), default_DOT_repair_order_details_metrics AS ( + SELECT + default_DOT_hard_hat.country default_DOT_hard_hat_DOT_country, + default_DOT_hard_hat.postal_code default_DOT_hard_hat_DOT_postal_code, + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region, + default_DOT_hard_hat_to_delete.hire_date default_DOT_hard_hat_to_delete_DOT_hire_date, + sum(default_DOT_repair_order_details.price) + sum(default_DOT_repair_order_details.price) + AS default_DOT_double_total_repair_cost + FROM default_DOT_repair_order_details + INNER JOIN default_DOT_repair_order + ON default_DOT_repair_order_details.repair_order_id = default_DOT_repair_order.repair_order_id + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_order.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher + ON default_DOT_repair_order.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim + ON default_DOT_repair_order.municipality_id = default_DOT_municipality_dim.municipality_id + LEFT JOIN default_DOT_hard_hat_to_delete + ON default_DOT_repair_order.hard_hat_id = default_DOT_hard_hat_to_delete.hard_hat_id + WHERE default_DOT_hard_hat.state = 'AZ' + GROUP BY + default_DOT_hard_hat.country, + default_DOT_hard_hat.postal_code, + default_DOT_hard_hat.city, + default_DOT_hard_hat.state, + default_DOT_dispatcher.company_name, + default_DOT_municipality_dim.local_region, + default_DOT_hard_hat_to_delete.hire_date +) +SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_country, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_postal_code, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_city, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_state, + default_DOT_repair_orders_fact_metrics.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_metrics.default_DOT_municipality_dim_DOT_local_region, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_to_delete_DOT_hire_date, + default_DOT_repair_orders_fact_metrics.default_DOT_discounted_orders_rate, + default_DOT_repair_orders_fact_metrics.default_DOT_num_repair_orders, + default_DOT_repair_orders_fact_metrics.default_DOT_avg_repair_price, + default_DOT_repair_orders_fact_metrics.default_DOT_total_repair_cost, + default_DOT_repair_orders_fact_metrics.default_DOT_total_repair_order_discounts, + default_DOT_repair_order_details_metrics.default_DOT_double_total_repair_cost +FROM default_DOT_repair_orders_fact_metrics +FULL JOIN default_DOT_repair_order_details_metrics + ON default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_country = + default_DOT_repair_order_details_metrics.default_DOT_hard_hat_DOT_country + AND default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_postal_code = + default_DOT_repair_order_details_metrics.default_DOT_hard_hat_DOT_postal_code + AND default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_city = + default_DOT_repair_order_details_metrics.default_DOT_hard_hat_DOT_city + AND default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_state = + default_DOT_repair_order_details_metrics.default_DOT_hard_hat_DOT_state + AND default_DOT_repair_orders_fact_metrics.default_DOT_dispatcher_DOT_company_name = + default_DOT_repair_order_details_metrics.default_DOT_dispatcher_DOT_company_name + AND default_DOT_repair_orders_fact_metrics.default_DOT_municipality_dim_DOT_local_region = + default_DOT_repair_order_details_metrics.default_DOT_municipality_dim_DOT_local_region + AND default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_to_delete_DOT_hire_date = + default_DOT_repair_order_details_metrics.default_DOT_hard_hat_to_delete_DOT_hire_date""" + assert str(parse(metrics_sql_results["sql"])) == str(parse(expected_query)) + assert str(parse(cube_sql_results["sql"])) == str(parse(expected_query)) + + +@pytest.mark.asyncio +async def test_cube_materialization_sql_and_measures( + client_with_repairs_cube: AsyncClient, + repair_orders_cube_measures, + repairs_cube_elements, +): + """ + Verifies a cube's materialization SQL + measures + """ + await make_a_test_cube( + client_with_repairs_cube, + "default.repairs_cube_3", + metrics_or_measures="measures", + ) + + response = await client_with_repairs_cube.get("/cubes/default.repairs_cube_3/") + data = response.json() + assert data["cube_elements"] == repairs_cube_elements + expected_materialization_query = """ + WITH + default_DOT_repair_order_details AS ( + SELECT default_DOT_repair_order_details.repair_order_id, + default_DOT_repair_order_details.repair_type_id, + default_DOT_repair_order_details.price, + default_DOT_repair_order_details.quantity, + default_DOT_repair_order_details.discount + FROM roads.repair_order_details AS default_DOT_repair_order_details + ), + default_DOT_repair_order AS ( + SELECT default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM roads.repair_orders AS default_DOT_repair_orders + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_municipality_dim AS ( + SELECT m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ) + SELECT default_DOT_repair_order_details.price default_DOT_repair_order_details_DOT_price, + default_DOT_hard_hat.country default_DOT_hard_hat_DOT_country, + default_DOT_hard_hat.postal_code default_DOT_hard_hat_DOT_postal_code, + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + default_DOT_hard_hat.hire_date default_DOT_hard_hat_DOT_hire_date, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region + FROM default_DOT_repair_order_details INNER JOIN default_DOT_repair_order ON default_DOT_repair_order_details.repair_order_id = default_DOT_repair_order.repair_order_id + INNER JOIN default_DOT_hard_hat ON default_DOT_repair_order.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher ON default_DOT_repair_order.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_order.municipality_id = default_DOT_municipality_dim.municipality_id + """ + assert str(parse(data["materializations"][0]["config"]["query"])) == str( + parse(expected_materialization_query), + ) + assert data["materializations"][0]["job"] == "DruidMeasuresCubeMaterializationJob" + assert ( + data["materializations"][0]["config"]["measures"] == repair_orders_cube_measures + ) + + +@pytest.mark.asyncio +async def test_druid_cube_agg_materialization( + client_with_repairs_cube: AsyncClient, + module__query_service_client: Iterator[QueryServiceClient], +): + """ + Verifies scheduling a materialized aggregate cube + """ + await make_a_test_cube( + client_with_repairs_cube, + "default.repairs_cube_4", + ) + response = await client_with_repairs_cube.post( + "/nodes/default.repairs_cube_4/materialization/", + json={ + "job": "druid_metrics_cube", + "strategy": "incremental_time", + "config": { + "spark": {}, + }, + "schedule": "@daily", + }, + ) + assert response.json() == { + "message": "The same materialization config with name " + "`druid_metrics_cube__incremental_time__default.hard_hat.hire_date` " + "already exists for node `default.repairs_cube_4` so no update was performed.", + "info": { + "output_tables": ["common.a", "common.b"], + "urls": ["http://fake.url/job"], + }, + } + called_kwargs_all = [ + call_[0][0] + for call_ in module__query_service_client.materialize.call_args_list # type: ignore + ] + called_kwargs_for_cube_4 = [ + call_ + for call_ in called_kwargs_all + if call_.node_name == "default.repairs_cube_4" + ] + called_kwargs = called_kwargs_for_cube_4[0] + assert ( + called_kwargs.name + == "druid_metrics_cube__incremental_time__default.hard_hat.hire_date" + ) + assert called_kwargs.node_name == "default.repairs_cube_4" + assert called_kwargs.node_type == "cube" + assert called_kwargs.schedule == "@daily" + assert called_kwargs.spark_conf == {} + assert len(called_kwargs.columns) > 0 + dimensions_sorted = sorted( + called_kwargs.druid_spec["dataSchema"]["parser"]["parseSpec"]["dimensionsSpec"][ + "dimensions" + ], + ) + called_kwargs.druid_spec["dataSchema"]["parser"]["parseSpec"]["dimensionsSpec"][ + "dimensions" + ] = dimensions_sorted + called_kwargs.druid_spec["dataSchema"]["metricsSpec"] = sorted( + called_kwargs.druid_spec["dataSchema"]["metricsSpec"], + key=lambda x: x["fieldName"], + ) + assert sorted(called_kwargs.columns, key=lambda x: x.name) == sorted( + [ + ColumnMetadata( + name="default_DOT_avg_repair_price", + type="double", + column="default_DOT_avg_repair_price", + node="default.avg_repair_price", + semantic_entity="default.avg_repair_price.default_DOT_avg_repair_price", + semantic_type="metric", + ), + ColumnMetadata( + name="default_DOT_discounted_orders_rate", + type="double", + column="default_DOT_discounted_orders_rate", + node="default.discounted_orders_rate", + semantic_entity="default.discounted_orders_rate.default_DOT_discounted_orders_rate", + semantic_type="metric", + ), + ColumnMetadata( + name="default_DOT_dispatcher_DOT_company_name", + type="string", + column="company_name", + node="default.dispatcher", + semantic_entity="default.dispatcher.company_name", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_double_total_repair_cost", + type="double", + column="default_DOT_double_total_repair_cost", + node="default.double_total_repair_cost", + semantic_entity="default.double_total_repair_cost.default_DOT_double_total_repair_cost", + semantic_type="metric", + ), + ColumnMetadata( + name="default_DOT_hard_hat_DOT_city", + type="string", + column="city", + node="default.hard_hat", + semantic_entity="default.hard_hat.city", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_hard_hat_DOT_country", + type="string", + column="country", + node="default.hard_hat", + semantic_entity="default.hard_hat.country", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_hard_hat_DOT_hire_date", + type="timestamp", + column="hire_date", + node="default.hard_hat", + semantic_entity="default.hard_hat.hire_date", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_hard_hat_DOT_postal_code", + type="string", + column="postal_code", + node="default.hard_hat", + semantic_entity="default.hard_hat.postal_code", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_hard_hat_DOT_state", + type="string", + column="state", + node="default.hard_hat", + semantic_entity="default.hard_hat.state", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_municipality_dim_DOT_local_region", + type="string", + column="local_region", + node="default.municipality_dim", + semantic_entity="default.municipality_dim.local_region", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_num_repair_orders", + type="bigint", + column="default_DOT_num_repair_orders", + node="default.num_repair_orders", + semantic_entity="default.num_repair_orders.default_DOT_num_repair_orders", + semantic_type="metric", + ), + ColumnMetadata( + name="default_DOT_total_repair_cost", + type="double", + column="default_DOT_total_repair_cost", + node="default.total_repair_cost", + semantic_entity="default.total_repair_cost.default_DOT_total_repair_cost", + semantic_type="metric", + ), + ColumnMetadata( + name="default_DOT_total_repair_order_discounts", + type="double", + column="default_DOT_total_repair_order_discounts", + node="default.total_repair_order_discounts", + semantic_entity="default.total_repair_order_discounts.default_DOT_total_repair_order_discounts", + semantic_type="metric", + ), + ], + key=lambda x: x.name, + ) + assert called_kwargs.druid_spec == { + "dataSchema": { + "dataSource": "default_DOT_repairs_cube_4", + "parser": { + "parseSpec": { + "format": "parquet", + "dimensionsSpec": { + "dimensions": [ + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_state", + "default_DOT_municipality_dim_DOT_local_region", + ], + }, + "timestampSpec": { + "column": "default_DOT_hard_hat_DOT_hire_date", + "format": "yyyyMMdd", + }, + }, + }, + "metricsSpec": [ + { + "fieldName": "default_DOT_avg_repair_price", + "name": "default_DOT_avg_repair_price", + "type": "doubleSum", + }, + { + "fieldName": "default_DOT_discounted_orders_rate", + "name": "default_DOT_discounted_orders_rate", + "type": "doubleSum", + }, + { + "fieldName": "default_DOT_double_total_repair_cost", + "name": "default_DOT_double_total_repair_cost", + "type": "doubleSum", + }, + { + "fieldName": "default_DOT_num_repair_orders", + "name": "default_DOT_num_repair_orders", + "type": "longSum", + }, + { + "fieldName": "default_DOT_total_repair_cost", + "name": "default_DOT_total_repair_cost", + "type": "doubleSum", + }, + { + "fieldName": "default_DOT_total_repair_order_discounts", + "name": "default_DOT_total_repair_order_discounts", + "type": "doubleSum", + }, + ], + "granularitySpec": { + "type": "uniform", + "segmentGranularity": "DAY", + "intervals": [], + }, + }, + "tuningConfig": { + "partitionsSpec": {"targetPartitionSize": 5000000, "type": "hashed"}, + "useCombiner": True, + "type": "hadoop", + }, + } + response = await client_with_repairs_cube.get("/nodes/default.repairs_cube_4/") + materializations = response.json()["materializations"] + assert len(materializations) == 1 + druid_materialization = [ + materialization + for materialization in materializations + if materialization["job"] == "DruidMetricsCubeMaterializationJob" + ][0] + assert set(druid_materialization["config"]["dimensions"]) == { + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + } + assert druid_materialization["config"]["metrics"] == [ + { + "name": "default_DOT_discounted_orders_rate", + "type": "double", + "column": "default_DOT_discounted_orders_rate", + "node": "default.discounted_orders_rate", + "semantic_entity": "default.discounted_orders_rate.default_DOT_discounted_orders_rate", + "semantic_type": "metric", + }, + { + "name": "default_DOT_num_repair_orders", + "type": "bigint", + "column": "default_DOT_num_repair_orders", + "node": "default.num_repair_orders", + "semantic_entity": "default.num_repair_orders.default_DOT_num_repair_orders", + "semantic_type": "metric", + }, + { + "name": "default_DOT_avg_repair_price", + "type": "double", + "column": "default_DOT_avg_repair_price", + "node": "default.avg_repair_price", + "semantic_entity": "default.avg_repair_price.default_DOT_avg_repair_price", + "semantic_type": "metric", + }, + { + "name": "default_DOT_total_repair_cost", + "type": "double", + "column": "default_DOT_total_repair_cost", + "node": "default.total_repair_cost", + "semantic_entity": "default.total_repair_cost.default_DOT_total_repair_cost", + "semantic_type": "metric", + }, + { + "name": "default_DOT_total_repair_order_discounts", + "type": "double", + "column": "default_DOT_total_repair_order_discounts", + "node": "default.total_repair_order_discounts", + "semantic_entity": "default.total_repair_order_discounts." + "default_DOT_total_repair_order_discounts", + "semantic_type": "metric", + }, + { + "name": "default_DOT_double_total_repair_cost", + "type": "double", + "column": "default_DOT_double_total_repair_cost", + "node": "default.double_total_repair_cost", + "semantic_entity": "default.double_total_repair_cost." + "default_DOT_double_total_repair_cost", + "semantic_type": "metric", + }, + ] + assert druid_materialization["schedule"] == "@daily" + + +@pytest.mark.asyncio +async def test_materialized_cube_sql( + client_with_repairs_cube: AsyncClient, +): + """ + Test generating SQL for a materialized cube with two cases: + (1) the materialized table's catalog is compatible with the desired engine. + (2) the materialized table's catalog is not compatible with the desired engine. + """ + await make_a_test_cube( + client_with_repairs_cube, + "default.mini_repairs_cube", + with_materialization=True, + ) + await client_with_repairs_cube.post( + "/data/default.mini_repairs_cube/availability/", + json={ + "catalog": "draft", + "schema_": "roads", + "table": "mini_repairs_cube", + "valid_through_ts": 1010129120, + }, + ) + # Ask for SQL with metrics, dimensions, filters, order by, and limit + response = await client_with_repairs_cube.get( + "/sql/", + params={ + "metrics": ["default.avg_repair_price", "default.num_repair_orders"], + "dimensions": ["default.hard_hat.state", "default.dispatcher.company_name"], + "limit": 100, + }, + ) + results = response.json() + assert "default_DOT_hard_hat AS (" in results["sql"] + + response = await client_with_repairs_cube.post( + "/data/default.mini_repairs_cube/availability/", + json={ + "catalog": "default", + "schema_": "roads", + "table": "mini_repairs_cube", + "valid_through_ts": 1010129120, + }, + ) + assert response.status_code == 200 + + response = await client_with_repairs_cube.get( + "/sql/", + params={ + "metrics": ["default.avg_repair_price", "default.num_repair_orders"], + "dimensions": ["default.hard_hat.state", "default.dispatcher.company_name"], + "limit": 100, + }, + ) + response = await client_with_repairs_cube.get( + "/sql/", + params={ + "metrics": ["default.avg_repair_price", "default.num_repair_orders"], + "dimensions": ["default.hard_hat.state", "default.dispatcher.company_name"], + "limit": 100, + }, + ) + results = response.json() + expected_sql = """ + SELECT + SUM(default_DOT_avg_repair_price), + SUM(default_DOT_num_repair_orders), + default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher_DOT_company_name + FROM mini_repairs_cube + GROUP BY default_DOT_hard_hat_DOT_state, default_DOT_dispatcher_DOT_company_name + LIMIT 100""" + assert str(parse(results["sql"])) == str(parse(expected_sql)) + + +@pytest.mark.asyncio +async def test_remove_dimension_link_invalidate_cube( + client_with_repairs_cube: AsyncClient, +): + """ + Verify that removing a dimension link can invalidate a cube. + """ + # Delete an irrelevant dimension link + response = await client_with_repairs_cube.request( + "DELETE", + "/nodes/default.repair_order/link/", + json={ + "dimension_node": "default.hard_hat_to_delete", + "role": None, + }, + ) + assert response.json() == { + "message": "Dimension link default.hard_hat_to_delete to node default.repair_order has " + "been removed.", + } + # The cube remains valid + response = await client_with_repairs_cube.get("/nodes/default.repairs_cube") + data = response.json() + assert data["status"] == "valid" + + # Add an unaffected cube + await client_with_repairs_cube.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders"], + "dimensions": [ + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": ["default.dispatcher.company_name='Pothole Pete'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube_unaffected", + }, + ) + + # Delete the link between default.repair_orders_fact and default.hard_hat_to_delete + response = await client_with_repairs_cube.request( + "DELETE", + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.hard_hat_to_delete", + }, + ) + assert response.status_code == 201 + + # The cube that has default.hard_hat_to_delete dimensions should be invalid + response = await client_with_repairs_cube.get("/nodes/default.repairs_cube") + assert response.json()["status"] == "invalid" + + # The cube without default.hard_hat_to_delete dimensions should remain valid + response = await client_with_repairs_cube.get( + "/nodes/default.repairs_cube_unaffected", + ) + assert response.json()["status"] == "valid" + + +@pytest.mark.asyncio +async def test_changing_node_upstream_from_cube( + client_with_repairs_cube: AsyncClient, +): + """ + Verify changing nodes upstream from a cube + """ + # Prepare the objects + await client_with_repairs_cube.post( + "/nodes/source/", + json={ + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "municipality_id", "type": "string"}, + {"name": "hard_hat_id", "type": "int"}, + {"name": "order_date", "type": "timestamp"}, + {"name": "required_date", "type": "timestamp"}, + {"name": "dispatched_date", "type": "timestamp"}, + {"name": "dispatcher_id", "type": "int"}, + ], + "description": "All repair orders", + "mode": "published", + "name": "default.repair_orders__one", + "catalog": "default", + "schema_": "roads", + "table": "repair_orders__one", + }, + ) + await client_with_repairs_cube.post( + "/nodes/dimension/", + json={ + "description": "Repair order dimension", + "query": """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM default.repair_orders__one + """, + "mode": "published", + "name": "default.repair_order_dim__one", + "primary_key": ["repair_order_id"], + }, + ) + await client_with_repairs_cube.post( + "/nodes/metric/", + json={ + "description": "Repair order date count", + "query": """ + SELECT + COUNT(DISTINCT order_date) AS order_date_count + FROM default.repair_order_dim__one + """, + "mode": "published", + "name": "default.order_date_count__one", + }, + ) + response = await client_with_repairs_cube.post( + "/nodes/cube/", + json={ + "metrics": ["default.order_date_count__one"], + "dimensions": [ + "default.repair_order_dim__one.hard_hat_id", + "default.repair_order_dim__one.municipality_id", + ], + "filters": ["default.repair_order_dim__one.hard_hat_id > 10"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube_1", + }, + ) + assert response.status_code == 201 + assert response.json()["version"] == "v1.0" + + # Verify effects on cube after deactivating a node upstream from the cube + await client_with_repairs_cube.request( + "DELETE", + "/nodes/default.repair_orders__one/", + ) + response = await client_with_repairs_cube.get("/nodes/default.repairs_cube_1/") + data = response.json() + assert data["status"] == "invalid" + + # Verify effects on cube after restoring a node upstream from the cube + await client_with_repairs_cube.post("/nodes/default.repair_orders__one/restore/") + response = await client_with_repairs_cube.get("/nodes/default.repairs_cube_1/") + data = response.json() + assert data["status"] == "valid" + + response = await client_with_repairs_cube.get("/cubes/default.repairs_cube_1/") + data = response.json() + expected_elements = [ + { + "name": "default_DOT_order_date_count__one", + "display_name": "Order Date Count One", + "node_name": "default.order_date_count__one", + "type": "metric", + "partition": None, + }, + { + "name": "municipality_id", + "display_name": "Municipality Id", + "node_name": "default.repair_order_dim__one", + "type": "dimension", + "partition": None, + }, + { + "name": "hard_hat_id", + "display_name": "Hard Hat Id", + "node_name": "default.repair_order_dim__one", + "type": "dimension", + "partition": None, + }, + ] + assert data["cube_elements"] == expected_elements + + # Verify effects on cube after updating a node upstream from the cube + await client_with_repairs_cube.patch( + "/nodes/default.order_date_count__one/", + json={ + "query": """SELECT COUNT(DISTINCT order_date) + 42 AS order_date_count " + "FROM default.repair_order_dim__one""", + }, + ) + response = await client_with_repairs_cube.get("/nodes/default.repairs_cube_1/") + data = response.json() + assert data["status"] == "valid" + + response = await client_with_repairs_cube.get("/cubes/default.repairs_cube_1/") + data = response.json() + assert data["cube_elements"] == expected_elements + + +def assert_updated_repairs_cube(data): + """ + Asserts that the updated repairs cube has the right cube elements and default materialization + """ + assert sorted(data["cube_elements"], key=lambda x: x["name"]) == [ + { + "display_name": "City", + "name": "city", + "node_name": "default.hard_hat", + "type": "dimension", + "partition": None, + }, + { + "display_name": "Discounted Orders Rate", + "name": "default_DOT_discounted_orders_rate", + "node_name": "default.discounted_orders_rate", + "type": "metric", + "partition": None, + }, + { + "display_name": "Hire Date", + "name": "hire_date", + "node_name": "default.hard_hat", + "partition": None, + "type": "dimension", + }, + ] + + +@pytest.mark.asyncio +async def test_updating_cube( + client_with_repairs_cube: AsyncClient, +): + """ + Verify updating a cube + """ + await make_a_test_cube( + client_with_repairs_cube, + "default.repairs_cube_6", + ) + # Check a minor update to the cube + response = await client_with_repairs_cube.patch( + "/nodes/default.repairs_cube_6", + json={ + "description": "This cube has a new description", + }, + ) + data = response.json() + assert data["version"] == "v1.1" + assert data["description"] == "This cube has a new description" + + # Check a major update to the cube + response = await client_with_repairs_cube.patch( + "/nodes/default.repairs_cube_6", + json={ + "metrics": ["default.discounted_orders_rate"], + "dimensions": ["default.hard_hat.city", "default.hard_hat.hire_date"], + }, + ) + result = response.json() + assert result["version"] == "v2.0" + assert sorted(result["columns"], key=lambda x: x["name"]) == sorted( + [ + { + "name": "default.discounted_orders_rate", + "display_name": "Discounted Orders Rate", + "type": "double", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "default.hard_hat.city", + "display_name": "City", + "type": "string", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "default.hard_hat.hire_date", + "display_name": "Hire Date", + "type": "timestamp", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": { + "type_": "temporal", + "format": "yyyyMMdd", + "granularity": "day", + "expression": None, + }, + }, + ], + key=lambda x: x["name"], # type: ignore + ) + + response = await client_with_repairs_cube.get("/cubes/default.repairs_cube_6/") + data = response.json() + assert_updated_repairs_cube(data) + + response = await client_with_repairs_cube.get( + "/history?node=default.repairs_cube_6", + ) + assert [ + event for event in response.json() if event["activity_type"] == "update" + ] == [ + { + "activity_type": "update", + "created_at": mock.ANY, + "details": {"version": "v2.0"}, + "entity_name": "default.repairs_cube_6", + "entity_type": "node", + "id": mock.ANY, + "node": "default.repairs_cube_6", + "post": { + "dimensions": [ + "default.hard_hat.city", + "default.hard_hat.hire_date", + ], + "metrics": [ + "default.discounted_orders_rate", + ], + }, + "pre": { + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.hire_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "metrics": [ + "default.discounted_orders_rate", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.total_repair_order_discounts", + "default.double_total_repair_cost", + ], + }, + "user": mock.ANY, + }, + { + "activity_type": "update", + "created_at": mock.ANY, + "details": {"version": "v1.1"}, + "entity_name": "default.repairs_cube_6", + "entity_type": "node", + "id": mock.ANY, + "node": "default.repairs_cube_6", + "post": { + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.hire_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "metrics": [ + "default.discounted_orders_rate", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.total_repair_order_discounts", + "default.double_total_repair_cost", + ], + }, + "pre": { + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.hire_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "metrics": [ + "default.discounted_orders_rate", + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + "default.total_repair_order_discounts", + "default.double_total_repair_cost", + ], + }, + "user": mock.ANY, + }, + ] + + +@pytest.mark.asyncio +async def test_updating_cube_with_existing_cube_materialization( + client_with_repairs_cube: AsyncClient, + module__query_service_client: QueryServiceClient, +): + """ + Verify updating a cube with an existing new-style cube materialization + """ + cube_name = "default.repairs_cube__default_incremental_11" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + ) + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/columns/default.hard_hat.hire_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + assert response.status_code in (200, 201) + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_cube", + "strategy": "incremental_time", + "schedule": "@daily", + "lookback_window": "1 DAY", + }, + ) + # Update the cube, but keep the temporal partition column. This should succeed + response = await client_with_repairs_cube.patch( + f"/nodes/{cube_name}", + json={ + "metrics": ["default.discounted_orders_rate"], + "dimensions": ["default.hard_hat.city", "default.hard_hat.hire_date"], + }, + ) + result = response.json() + assert result["version"] == "v2.0" + + # Check that there is no longer a materialization configured + response = await client_with_repairs_cube.get(f"/cubes/{cube_name}/") + data = response.json() + assert len(data["materializations"]) == 0 + + +@pytest.mark.asyncio +async def test_updating_cube_with_existing_materialization( + client_with_repairs_cube: AsyncClient, + module__query_service_client: QueryServiceClient, +): + """ + Verify updating a cube with existing materialization + """ + # Make an isolated cube and add materialization to the cube + await make_a_test_cube( + client_with_repairs_cube, + "default.repairs_cube_2", + metrics_or_measures="measures", + ) + # Make sure that the cube already has an additional materialization configured + response = await client_with_repairs_cube.get("/cubes/default.repairs_cube_2/") + data = response.json() + assert len(data["materializations"]) == 1 + + # Update the existing materialization config + response = await client_with_repairs_cube.post( + "/nodes/default.repairs_cube_2/materialization", + json={ + "job": "druid_measures_cube", + "strategy": "incremental_time", + "config": {"spark": {"spark.executor.memory": "6g"}}, + "schedule": "@daily", + }, + ) + data = response.json() + assert data == { + "message": "Successfully updated materialization config named " + "`druid_measures_cube__incremental_time__default.hard_hat.hire_date` for node " + "`default.repairs_cube_2`", + "urls": [["http://fake.url/job"]], + } + + # Check that there is no longer a materialization configured + response = await client_with_repairs_cube.get("/cubes/default.repairs_cube_2/") + data = response.json() + assert data["materializations"][0]["config"]["spark"] == { + "spark.executor.memory": "6g", + } + + # Update the cube, but keep the temporal partition column. This should succeed + response = await client_with_repairs_cube.patch( + "/nodes/default.repairs_cube_2", + json={ + "metrics": ["default.discounted_orders_rate"], + "dimensions": ["default.hard_hat.city", "default.hard_hat.hire_date"], + }, + ) + result = response.json() + assert result["version"] == "v2.0" + + # Check that the cube was updated + response = await client_with_repairs_cube.get("/cubes/default.repairs_cube_2/") + data = response.json() + assert len(data["materializations"]) == 0 + assert_updated_repairs_cube(data) + + +@pytest.mark.asyncio +async def test_get_materialized_cube_dimension_sql( + client_with_repairs_cube: AsyncClient, +): + """ + Test building SQL to get unique dimension values for a materialized cube + """ + await make_a_test_cube( + client_with_repairs_cube, + "default.repairs_cube_7", + ) + await client_with_repairs_cube.post( + "/data/default.repairs_cube_7/availability/", + json={ + "catalog": "default", + "schema_": "roads", + "table": "repairs_cube", + "valid_through_ts": 1010129120, + }, + ) + + # Asking for an unavailable dimension should fail + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_7/dimensions/sql", + params={ + "dimensions": ["default.hard_hat.city", "default.contractor.company_name"], + }, + ) + assert response.json()["message"] == ( + "The following dimensions {'default.contractor.company_name'} are " + "not available in the cube default.repairs_cube_7." + ) + + # Ask for single dimension + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_7/dimensions/sql", + params={ + "dimensions": ["default.hard_hat.city"], + }, + ) + results = response.json() + assert results["columns"] == [ + { + "column": None, + "name": "default_DOT_hard_hat_DOT_city", + "node": None, + "semantic_entity": "default.hard_hat.city", + "semantic_type": "dimension", + "type": "string", + }, + ] + assert compare_query_strings( + results["sql"], + "SELECT default_DOT_hard_hat_DOT_city FROM repairs_cube " + "GROUP BY default_DOT_hard_hat_DOT_city", + ) + + # Ask for single dimension with counts + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_7/dimensions/sql", + params={ + "dimensions": ["default.hard_hat.city"], + "include_counts": True, + }, + ) + results = response.json() + assert results["columns"] == [ + { + "column": None, + "name": "default_DOT_hard_hat_DOT_city", + "node": None, + "semantic_entity": "default.hard_hat.city", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": None, + "name": "count", + "node": None, + "semantic_entity": None, + "semantic_type": None, + "type": "int", + }, + ] + assert compare_query_strings( + results["sql"], + "SELECT default_DOT_hard_hat_DOT_city, COUNT(*) FROM repairs_cube " + "GROUP BY default_DOT_hard_hat_DOT_city " + "ORDER BY 2 DESC", + ) + + # Ask for multiple dimensions with counts + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_7/dimensions/sql", + params={ + "dimensions": ["default.hard_hat.city", "default.dispatcher.company_name"], + "include_counts": True, + }, + ) + results = response.json() + assert results["columns"] == [ + { + "column": None, + "name": "default_DOT_hard_hat_DOT_city", + "node": None, + "semantic_entity": "default.hard_hat.city", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": None, + "name": "default_DOT_dispatcher_DOT_company_name", + "node": None, + "semantic_entity": "default.dispatcher.company_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": None, + "name": "count", + "node": None, + "semantic_entity": None, + "semantic_type": None, + "type": "int", + }, + ] + assert compare_query_strings( + results["sql"], + "SELECT default_DOT_hard_hat_DOT_city, default_DOT_dispatcher_DOT_company_name, COUNT(*) " + "FROM repairs_cube " + "GROUP BY default_DOT_hard_hat_DOT_city, default_DOT_dispatcher_DOT_company_name " + "ORDER BY 3 DESC", + ) + + # Ask for multiple dimensions with filters and limit + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_7/dimensions/sql", + params={ + "dimensions": ["default.hard_hat.city", "default.dispatcher.company_name"], + "filters": "default.dispatcher.company_name = 'Pothole Pete'", + "limit": 4, + "include_counts": True, + }, + ) + results = response.json() + assert compare_query_strings( + results["sql"], + "SELECT default_DOT_hard_hat_DOT_city, default_DOT_dispatcher_DOT_company_name, COUNT(*) " + "FROM repairs_cube " + "WHERE default_DOT_dispatcher_DOT_company_name = 'Pothole Pete' " + "GROUP BY default_DOT_hard_hat_DOT_city, default_DOT_dispatcher_DOT_company_name " + "ORDER BY 3 DESC LIMIT 4", + ) + + +@pytest.mark.asyncio +async def test_get_unmaterialized_cube_dimensions_values( + client_with_repairs_cube: AsyncClient, +): + """ + Test building SQL + getting data for dimension values for an unmaterialized cube + """ + await make_a_test_cube( + client_with_repairs_cube, + "default.repairs_cube_8", + with_materialization=False, + ) + # Get SQL for single dimension + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_8/dimensions/sql", + params={ + "dimensions": ["default.hard_hat.city"], + }, + ) + results = response.json() + assert "SELECT default_DOT_hard_hat_DOT_city" in results["sql"] + assert "GROUP BY default_DOT_hard_hat_DOT_city" in results["sql"] + + # Get data for single dimension + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_8/dimensions/data", + params={ + "dimensions": ["default.hard_hat.city"], + }, + ) + results = response.json() + assert results == { + "cardinality": 9, + "dimensions": ["default.hard_hat.city"], + "values": [ + {"count": None, "value": ["Jersey City"]}, + {"count": None, "value": ["Billerica"]}, + {"count": None, "value": ["Southgate"]}, + {"count": None, "value": ["Phoenix"]}, + {"count": None, "value": ["Southampton"]}, + {"count": None, "value": ["Powder Springs"]}, + {"count": None, "value": ["Middletown"]}, + {"count": None, "value": ["Muskogee"]}, + {"count": None, "value": ["Niagara Falls"]}, + ], + } + + # Ask for single dimension with counts + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_8/dimensions/sql", + params={ + "dimensions": ["default.hard_hat.city"], + "include_counts": True, + }, + ) + results = response.json() + assert "SELECT default_DOT_hard_hat_DOT_city,\n\tCOUNT(*)" in results["sql"] + assert "GROUP BY default_DOT_hard_hat_DOT_city" in results["sql"] + assert "ORDER BY 2 DESC" in results["sql"] + + # Get data for single dimension with counts + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_8/dimensions/data", + params={ + "dimensions": ["default.hard_hat.city"], + "include_counts": True, + }, + ) + assert response.json() == { + "cardinality": 9, + "dimensions": ["default.hard_hat.city"], + "values": [ + {"count": 5, "value": ["Southgate"]}, + {"count": 4, "value": ["Jersey City"]}, + {"count": 4, "value": ["Southampton"]}, + {"count": 3, "value": ["Billerica"]}, + {"count": 3, "value": ["Powder Springs"]}, + {"count": 2, "value": ["Phoenix"]}, + {"count": 2, "value": ["Middletown"]}, + {"count": 1, "value": ["Muskogee"]}, + {"count": 1, "value": ["Niagara Falls"]}, + ], + } + + # Get data for multiple dimensions with counts + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_8/dimensions/data", + params={ + "dimensions": ["default.hard_hat.city", "default.dispatcher.company_name"], + "include_counts": True, + }, + ) + assert response.json() == { + "cardinality": 17, + "dimensions": ["default.hard_hat.city", "default.dispatcher.company_name"], + "values": [ + {"count": 3, "value": ["Jersey City", "Pothole Pete"]}, + {"count": 2, "value": ["Southgate", "Asphalts R Us"]}, + {"count": 2, "value": ["Billerica", "Asphalts R Us"]}, + {"count": 2, "value": ["Southgate", "Federal Roads Group"]}, + {"count": 2, "value": ["Southampton", "Pothole Pete"]}, + {"count": 2, "value": ["Powder Springs", "Asphalts R Us"]}, + {"count": 2, "value": ["Middletown", "Federal Roads Group"]}, + {"count": 1, "value": ["Jersey City", "Federal Roads Group"]}, + {"count": 1, "value": ["Billerica", "Pothole Pete"]}, + {"count": 1, "value": ["Phoenix", "Asphalts R Us"]}, + {"count": 1, "value": ["Southampton", "Asphalts R Us"]}, + {"count": 1, "value": ["Southampton", "Federal Roads Group"]}, + {"count": 1, "value": ["Phoenix", "Federal Roads Group"]}, + {"count": 1, "value": ["Muskogee", "Federal Roads Group"]}, + {"count": 1, "value": ["Powder Springs", "Pothole Pete"]}, + {"count": 1, "value": ["Niagara Falls", "Federal Roads Group"]}, + {"count": 1, "value": ["Southgate", "Pothole Pete"]}, + ], + } + + # Get data for multiple dimensions with filters + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_8/dimensions/data", + params={ + "dimensions": ["default.hard_hat.city", "default.dispatcher.company_name"], + "filters": "default.dispatcher.company_name = 'Pothole Pete'", + "include_counts": True, + }, + ) + assert response.json() == { + "cardinality": 5, + "dimensions": ["default.hard_hat.city", "default.dispatcher.company_name"], + "values": [ + {"count": 3, "value": ["Jersey City", "Pothole Pete"]}, + {"count": 2, "value": ["Southampton", "Pothole Pete"]}, + {"count": 1, "value": ["Billerica", "Pothole Pete"]}, + {"count": 1, "value": ["Southgate", "Pothole Pete"]}, + {"count": 1, "value": ["Powder Springs", "Pothole Pete"]}, + ], + } + + # Get data for multiple dimensions with filters and limit + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube_8/dimensions/data", + params={ + "dimensions": ["default.hard_hat.city", "default.dispatcher.company_name"], + "filters": "default.dispatcher.company_name = 'Pothole Pete'", + "limit": 4, + "include_counts": True, + }, + ) + assert response.json() == { + "cardinality": 4, + "dimensions": ["default.hard_hat.city", "default.dispatcher.company_name"], + "values": [ + {"count": 3, "value": ["Jersey City", "Pothole Pete"]}, + {"count": 2, "value": ["Southampton", "Pothole Pete"]}, + {"count": 1, "value": ["Billerica", "Pothole Pete"]}, + {"count": 1, "value": ["Southgate", "Pothole Pete"]}, + ], + } + + +@pytest.mark.asyncio +async def test_derive_sql_column(): + """ + Test that SQL column name are properly derived from cube elements + """ + cube_element = CubeElementMetadata( + name="foo_DOT_bar_DOT_baz_DOT_revenue", + display_name="Revenue", + node_name="foo.bar.baz", + type="metric", + ) + sql_column = cube_element.derive_sql_column() + expected_sql_column = ColumnOutput( + name="foo_DOT_bar_DOT_baz_DOT_revenue", + display_name="Revenue", + type="metric", + ) # type: ignore + assert sql_column.name == expected_sql_column.name + assert sql_column.display_name == expected_sql_column.display_name + assert sql_column.type == expected_sql_column.type + cube_element = CubeElementMetadata( + name="owner", + display_name="Owner", + node_name="foo.bar.baz", + type="dimension", + ) + sql_column = cube_element.derive_sql_column() + expected_sql_column = ColumnOutput( + name="foo_DOT_bar_DOT_baz_DOT_owner", + display_name="Owner", + type="dimension", + ) # type: ignore + assert sql_column.name == expected_sql_column.name + assert sql_column.display_name == expected_sql_column.display_name + assert sql_column.type == expected_sql_column.type + + +@pytest.mark.asyncio +async def test_cube_materialization_metadata( + client_with_repairs_cube: AsyncClient, +): + """ + Test building cube materialization metadata + """ + await make_a_test_cube( + client_with_repairs_cube, + "default.example_repairs_cube", + with_materialization=False, + ) + response = await client_with_repairs_cube.get( + "/cubes/default.example_repairs_cube/materialization", + ) + results = response.json() + assert results["message"] == ( + "The cube must have a single temporal partition column set" + " in order for it to be materialized." + ) + + await client_with_repairs_cube.post( + "/nodes/default.example_repairs_cube/columns/default.hard_hat.hire_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + response = await client_with_repairs_cube.get( + "/cubes/default.example_repairs_cube/materialization", + ) + results = response.json() + assert results["cube"] == { + "name": "default.example_repairs_cube", + "version": "v1.0", + "display_name": "Example Repairs Cube", + } + assert results["job"] == "DRUID_CUBE" + assert results["lookback_window"] == "1 DAY" + assert results["schedule"] == "0 0 * * *" + assert results["strategy"] == "incremental_time" + assert results["dimensions"] == [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.hire_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ] + assert results["metrics"] == [ + { + "derived_expression": "SELECT CAST(SUM(discount_sum_30b84e6c) AS DOUBLE) / " + "SUM(count_c8e42e74) AS default_DOT_discounted_orders_rate FROM " + "default.repair_orders_fact", + "metric_expression": "CAST(SUM(discount_sum_30b84e6c) AS DOUBLE) / " + "SUM(count_c8e42e74)", + "metric": { + "name": "default.discounted_orders_rate", + "version": mock.ANY, + "display_name": "Discounted Orders Rate", + }, + "required_measures": [ + { + "measure_name": "discount_sum_30b84e6c", + "node": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + "display_name": "Repair Orders Fact", + }, + }, + { + "measure_name": "count_c8e42e74", + "node": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + "display_name": "Repair Orders Fact", + }, + }, + ], + }, + { + "derived_expression": "SELECT SUM(repair_order_id_count_bd241964) FROM " + "default.repair_orders_fact", + "metric_expression": "SUM(repair_order_id_count_bd241964)", + "metric": { + "name": "default.num_repair_orders", + "version": mock.ANY, + "display_name": "Num Repair Orders", + }, + "required_measures": [ + { + "measure_name": "repair_order_id_count_bd241964", + "node": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + "display_name": "Repair Orders Fact", + }, + }, + ], + }, + { + "derived_expression": "SELECT SUM(price_sum_935e7117) / SUM(price_count_935e7117) FROM " + "default.repair_orders_fact", + "metric_expression": "SUM(price_sum_935e7117) / SUM(price_count_935e7117)", + "metric": { + "name": "default.avg_repair_price", + "version": mock.ANY, + "display_name": "Avg Repair Price", + }, + "required_measures": [ + { + "measure_name": "price_count_935e7117", + "node": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + "display_name": "Repair Orders Fact", + }, + }, + { + "measure_name": "price_sum_935e7117", + "node": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + "display_name": "Repair Orders Fact", + }, + }, + ], + }, + { + "derived_expression": "SELECT SUM(total_repair_cost_sum_67874507) FROM " + "default.repair_orders_fact", + "metric_expression": "SUM(total_repair_cost_sum_67874507)", + "metric": { + "name": "default.total_repair_cost", + "version": mock.ANY, + "display_name": "Total Repair Cost", + }, + "required_measures": [ + { + "measure_name": "total_repair_cost_sum_67874507", + "node": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + "display_name": "Repair Orders Fact", + }, + }, + ], + }, + { + "derived_expression": "SELECT SUM(price_discount_sum_e4ba5456) FROM " + "default.repair_orders_fact", + "metric_expression": "SUM(price_discount_sum_e4ba5456)", + "metric": { + "name": "default.total_repair_order_discounts", + "version": mock.ANY, + "display_name": "Total Repair Order Discounts", + }, + "required_measures": [ + { + "measure_name": "price_discount_sum_e4ba5456", + "node": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + "display_name": "Repair Orders Fact", + }, + }, + ], + }, + { + "derived_expression": "SELECT SUM(price_sum_252381cf) + SUM(price_sum_252381cf) AS " + "default_DOT_double_total_repair_cost FROM " + "default.repair_order_details", + "metric_expression": "SUM(price_sum_252381cf) + SUM(price_sum_252381cf)", + "metric": { + "name": "default.double_total_repair_cost", + "version": mock.ANY, + "display_name": "Double Total Repair Cost", + }, + "required_measures": [ + { + "measure_name": "price_sum_252381cf", + "node": { + "name": "default.repair_order_details", + "version": mock.ANY, + "display_name": "default.roads.repair_order_details", + }, + }, + ], + }, + ] + assert results["measures_materializations"] == [ + { + "columns": [ + { + "column": "country", + "name": "default_DOT_hard_hat_DOT_country", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.country", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "postal_code", + "name": "default_DOT_hard_hat_DOT_postal_code", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.postal_code", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "city", + "name": "default_DOT_hard_hat_DOT_city", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.city", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "hire_date", + "name": "default_DOT_hard_hat_DOT_hire_date", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.hire_date", + "semantic_type": "dimension", + "type": "timestamp", + }, + { + "column": "state", + "name": "default_DOT_hard_hat_DOT_state", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.state", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "company_name", + "name": "default_DOT_dispatcher_DOT_company_name", + "node": "default.dispatcher", + "semantic_entity": "default.dispatcher.company_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "local_region", + "name": "default_DOT_municipality_dim_DOT_local_region", + "node": "default.municipality_dim", + "semantic_entity": "default.municipality_dim.local_region", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "discount_sum_30b84e6c", + "name": "discount_sum_30b84e6c", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.discount_sum_30b84e6c", + "semantic_type": "measure", + "type": "bigint", + }, + { + "column": "count_c8e42e74", + "name": "count_c8e42e74", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.count_c8e42e74", + "semantic_type": "measure", + "type": "bigint", + }, + { + "column": "repair_order_id_count_bd241964", + "name": "repair_order_id_count_bd241964", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_order_id_count_bd241964", + "semantic_type": "measure", + "type": "bigint", + }, + { + "column": "price_count_935e7117", + "name": "price_count_935e7117", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price_count_935e7117", + "semantic_type": "measure", + "type": "bigint", + }, + { + "column": "price_sum_935e7117", + "name": "price_sum_935e7117", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price_sum_935e7117", + "semantic_type": "measure", + "type": "double", + }, + { + "column": "total_repair_cost_sum_67874507", + "name": "total_repair_cost_sum_67874507", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.total_repair_cost_sum_67874507", + "semantic_type": "measure", + "type": "double", + }, + { + "column": "price_discount_sum_e4ba5456", + "name": "price_discount_sum_e4ba5456", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price_discount_sum_e4ba5456", + "semantic_type": "measure", + "type": "double", + }, + ], + "dimensions": [ + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ], + "grain": [ + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ], + "granularity": "day", + "measures": [ + { + "aggregation": "SUM", + "expression": "if(discount > 0.0, 1, 0)", + "merge": "SUM", + "name": "discount_sum_30b84e6c", + "rule": { + "level": None, + "type": "full", + }, + }, + { + "aggregation": "COUNT", + "expression": "*", + "merge": "SUM", + "name": "count_c8e42e74", + "rule": { + "level": None, + "type": "full", + }, + }, + { + "aggregation": "COUNT", + "expression": "repair_order_id", + "merge": "SUM", + "name": "repair_order_id_count_bd241964", + "rule": { + "level": None, + "type": "full", + }, + }, + { + "aggregation": "COUNT", + "expression": "price", + "merge": "SUM", + "name": "price_count_935e7117", + "rule": { + "level": None, + "type": "full", + }, + }, + { + "aggregation": "SUM", + "expression": "price", + "merge": "SUM", + "name": "price_sum_935e7117", + "rule": { + "level": None, + "type": "full", + }, + }, + { + "aggregation": "SUM", + "expression": "total_repair_cost", + "merge": "SUM", + "name": "total_repair_cost_sum_67874507", + "rule": { + "level": None, + "type": "full", + }, + }, + { + "aggregation": "SUM", + "expression": "price * discount", + "merge": "SUM", + "name": "price_discount_sum_e4ba5456", + "rule": { + "level": None, + "type": "full", + }, + }, + ], + "node": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + "display_name": "Repair Orders Fact", + }, + "output_table_name": mock.ANY, + "query": mock.ANY, + "spark_conf": None, + "timestamp_column": "default_DOT_hard_hat_DOT_hire_date", + "timestamp_format": "yyyyMMdd", + "upstream_tables": [ + "default.roads.repair_orders", + "default.roads.repair_order_details", + "default.roads.hard_hats", + "default.roads.dispatchers", + "default.roads.municipality", + "default.roads.municipality_municipality_type", + "default.roads.municipality_type", + ], + }, + { + "columns": [ + { + "column": "country", + "name": "default_DOT_hard_hat_DOT_country", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.country", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "postal_code", + "name": "default_DOT_hard_hat_DOT_postal_code", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.postal_code", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "city", + "name": "default_DOT_hard_hat_DOT_city", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.city", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "hire_date", + "name": "default_DOT_hard_hat_DOT_hire_date", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.hire_date", + "semantic_type": "dimension", + "type": "timestamp", + }, + { + "column": "state", + "name": "default_DOT_hard_hat_DOT_state", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.state", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "company_name", + "name": "default_DOT_dispatcher_DOT_company_name", + "node": "default.dispatcher", + "semantic_entity": "default.dispatcher.company_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "local_region", + "name": "default_DOT_municipality_dim_DOT_local_region", + "node": "default.municipality_dim", + "semantic_entity": "default.municipality_dim.local_region", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "price_sum_252381cf", + "name": "price_sum_252381cf", + "node": "default.repair_order_details", + "semantic_entity": "default.repair_order_details.price_sum_252381cf", + "semantic_type": "measure", + "type": "double", + }, + ], + "dimensions": [ + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ], + "grain": [ + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ], + "granularity": "day", + "measures": [ + { + "aggregation": "SUM", + "expression": "price", + "merge": "SUM", + "name": "price_sum_252381cf", + "rule": { + "level": None, + "type": "full", + }, + }, + ], + "node": { + "name": "default.repair_order_details", + "version": mock.ANY, + "display_name": "default.roads.repair_order_details", + }, + "output_table_name": "default_repair_order_details_v1_2_b94093b6088c190e", + "query": mock.ANY, + "spark_conf": None, + "timestamp_column": "default_DOT_hard_hat_DOT_hire_date", + "timestamp_format": "yyyyMMdd", + "upstream_tables": [ + "default.roads.repair_order_details", + "default.roads.repair_orders", + "default.roads.hard_hats", + "default.roads.dispatchers", + "default.roads.municipality", + "default.roads.municipality_municipality_type", + "default.roads.municipality_type", + ], + }, + ] + measures_sql = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.hire_date = CAST(DATE_FORMAT(CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) + ), + default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_municipality_dim AS ( + SELECT + m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_repair_orders_fact.repair_order_id, + default_DOT_repair_orders_fact.discount, + default_DOT_repair_orders_fact.price, + default_DOT_repair_orders_fact.total_repair_cost, + default_DOT_hard_hat.country default_DOT_hard_hat_DOT_country, + default_DOT_hard_hat.postal_code default_DOT_hard_hat_DOT_postal_code, + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + default_DOT_hard_hat.hire_date default_DOT_hard_hat_DOT_hire_date, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + WHERE default_DOT_hard_hat.hire_date = CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) + ) + + SELECT default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_country, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_postal_code, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_city, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_hire_date, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_state, + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_built.default_DOT_municipality_dim_DOT_local_region, + SUM(if(discount > 0.0, 1, 0)) AS discount_sum_30b84e6c, + COUNT(*) AS count_c8e42e74, + COUNT(repair_order_id) AS repair_order_id_count_bd241964, + COUNT(price) AS price_count_935e7117, + SUM(price) AS price_sum_935e7117, + SUM(total_repair_cost) AS total_repair_cost_sum_67874507, + SUM(price * discount) AS price_discount_sum_e4ba5456 + FROM default_DOT_repair_orders_fact_built + GROUP BY default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_country, default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_postal_code, default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_city, default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_hire_date, default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_state, default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, default_DOT_repair_orders_fact_built.default_DOT_municipality_dim_DOT_local_region + """ + assert str( + parse( + results["measures_materializations"][0]["query"].replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ), + ), + ) == str( + parse( + measures_sql.replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ), + ), + ) + + assert results["combiners"] == [ + { + "node": { + "name": "default.example_repairs_cube", + "version": "v1.0", + "display_name": "Example Repairs Cube", + }, + "query": mock.ANY, + "columns": [ + { + "name": "default_DOT_hard_hat_DOT_country", + "type": "string", + "column": "country", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.country", + "semantic_type": "dimension", + }, + { + "name": "default_DOT_hard_hat_DOT_postal_code", + "type": "string", + "column": "postal_code", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.postal_code", + "semantic_type": "dimension", + }, + { + "name": "default_DOT_hard_hat_DOT_city", + "type": "string", + "column": "city", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.city", + "semantic_type": "dimension", + }, + { + "name": "default_DOT_hard_hat_DOT_hire_date", + "type": "timestamp", + "column": "hire_date", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.hire_date", + "semantic_type": "dimension", + }, + { + "name": "default_DOT_hard_hat_DOT_state", + "type": "string", + "column": "state", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.state", + "semantic_type": "dimension", + }, + { + "name": "default_DOT_dispatcher_DOT_company_name", + "type": "string", + "column": "company_name", + "node": "default.dispatcher", + "semantic_entity": "default.dispatcher.company_name", + "semantic_type": "dimension", + }, + { + "name": "default_DOT_municipality_dim_DOT_local_region", + "type": "string", + "column": "local_region", + "node": "default.municipality_dim", + "semantic_entity": "default.municipality_dim.local_region", + "semantic_type": "dimension", + }, + { + "name": "discount_sum_30b84e6c", + "type": "bigint", + "column": "discount_sum_30b84e6c", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.discount_sum_30b84e6c", + "semantic_type": "measure", + }, + { + "name": "count_c8e42e74", + "type": "bigint", + "column": "count_c8e42e74", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.count_c8e42e74", + "semantic_type": "measure", + }, + { + "name": "repair_order_id_count_bd241964", + "type": "bigint", + "column": "repair_order_id_count_bd241964", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_order_id_count_bd241964", + "semantic_type": "measure", + }, + { + "name": "price_count_935e7117", + "type": "bigint", + "column": "price_count_935e7117", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price_count_935e7117", + "semantic_type": "measure", + }, + { + "name": "price_sum_935e7117", + "type": "double", + "column": "price_sum_935e7117", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price_sum_935e7117", + "semantic_type": "measure", + }, + { + "name": "total_repair_cost_sum_67874507", + "type": "double", + "column": "total_repair_cost_sum_67874507", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.total_repair_cost_sum_67874507", + "semantic_type": "measure", + }, + { + "name": "price_discount_sum_e4ba5456", + "type": "double", + "column": "price_discount_sum_e4ba5456", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price_discount_sum_e4ba5456", + "semantic_type": "measure", + }, + { + "name": "price_sum_252381cf", + "type": "double", + "column": "price_sum_252381cf", + "node": "default.repair_order_details", + "semantic_entity": "default.repair_order_details.price_sum_252381cf", + "semantic_type": "measure", + }, + ], + "grain": [ + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ], + "dimensions": [ + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ], + "measures": [ + { + "name": "discount_sum_30b84e6c", + "expression": "if(discount > 0.0, 1, 0)", + "aggregation": "SUM", + "merge": "SUM", + "rule": {"type": "full", "level": None}, + }, + { + "name": "count_c8e42e74", + "expression": "*", + "aggregation": "COUNT", + "merge": "SUM", + "rule": {"type": "full", "level": None}, + }, + { + "name": "repair_order_id_count_bd241964", + "expression": "repair_order_id", + "aggregation": "COUNT", + "merge": "SUM", + "rule": {"type": "full", "level": None}, + }, + { + "name": "price_count_935e7117", + "expression": "price", + "aggregation": "COUNT", + "merge": "SUM", + "rule": {"type": "full", "level": None}, + }, + { + "name": "price_sum_935e7117", + "expression": "price", + "aggregation": "SUM", + "merge": "SUM", + "rule": {"type": "full", "level": None}, + }, + { + "name": "total_repair_cost_sum_67874507", + "expression": "total_repair_cost", + "aggregation": "SUM", + "merge": "SUM", + "rule": {"type": "full", "level": None}, + }, + { + "name": "price_discount_sum_e4ba5456", + "expression": "price * discount", + "aggregation": "SUM", + "merge": "SUM", + "rule": {"type": "full", "level": None}, + }, + { + "name": "price_sum_252381cf", + "expression": "price", + "aggregation": "SUM", + "merge": "SUM", + "rule": {"type": "full", "level": None}, + }, + ], + "timestamp_column": "default_DOT_hard_hat_DOT_hire_date", + "timestamp_format": "yyyyMMdd", + "granularity": "day", + "upstream_tables": [], + "druid_spec": { + "dataSchema": { + "dataSource": "dj__default_example_repairs_cube_v1_0_fdc5182835060cb1", + "parser": { + "parseSpec": { + "format": "parquet", + "dimensionsSpec": { + "dimensions": [ + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_hard_hat_DOT_city", + "default_DOT_hard_hat_DOT_country", + "default_DOT_hard_hat_DOT_hire_date", + "default_DOT_hard_hat_DOT_postal_code", + "default_DOT_hard_hat_DOT_state", + "default_DOT_municipality_dim_DOT_local_region", + ], + }, + "timestampSpec": { + "column": "default_DOT_hard_hat_DOT_hire_date", + "format": "yyyyMMdd", + }, + }, + }, + "metricsSpec": [ + { + "fieldName": "discount_sum_30b84e6c", + "name": "discount_sum_30b84e6c", + "type": "longSum", + }, + { + "fieldName": "count_c8e42e74", + "name": "count_c8e42e74", + "type": "longSum", + }, + { + "fieldName": "repair_order_id_count_bd241964", + "name": "repair_order_id_count_bd241964", + "type": "longSum", + }, + { + "fieldName": "price_count_935e7117", + "name": "price_count_935e7117", + "type": "longSum", + }, + { + "fieldName": "price_sum_935e7117", + "name": "price_sum_935e7117", + "type": "doubleSum", + }, + { + "fieldName": "total_repair_cost_sum_67874507", + "name": "total_repair_cost_sum_67874507", + "type": "doubleSum", + }, + { + "fieldName": "price_discount_sum_e4ba5456", + "name": "price_discount_sum_e4ba5456", + "type": "doubleSum", + }, + { + "fieldName": "price_sum_252381cf", + "name": "price_sum_252381cf", + "type": "doubleSum", + }, + ], + "granularitySpec": { + "type": "uniform", + "segmentGranularity": "DAY", + "intervals": [], + }, + }, + "tuningConfig": { + "partitionsSpec": { + "targetPartitionSize": 5000000, + "type": "hashed", + }, + "useCombiner": True, + "type": "hadoop", + }, + }, + "output_table_name": "default_example_repairs_cube_v1_0_fdc5182835060cb1", + }, + ] + + +@pytest.mark.asyncio +async def test_get_all_cubes( + client_with_repairs_cube: AsyncClient, +): + """ + Test getting all cubes and limiting to available cubes + """ + await make_a_test_cube( + client_with_repairs_cube, + "default.repairs_cube_9", + ) + + # Get all cubes + response = await client_with_repairs_cube.get("/cubes") + assert response.is_success + data = response.json() + assert len([cube for cube in data if cube["name"] == "default.repairs_cube_9"]) == 1 + + # Get cubes available in default and test that this cube is excluded + response = await client_with_repairs_cube.get("/cubes?catalog=default") + assert response.is_success + data = response.json() + assert len([cube for cube in data if cube["name"] == "default.repairs_cube_9"]) == 0 + + # Set an avialability for the cube + await client_with_repairs_cube.post( + "/data/default.repairs_cube_9/availability/", + json={ + "catalog": "default", + "schema_": "roads", + "table": "repairs_cube", + "valid_through_ts": 1010129120, + }, + ) + + # Get only cubes available in default and test that this cube is now included + response = await client_with_repairs_cube.get("/cubes?catalog=default") + assert response.is_success + data = response.json() + assert len([cube for cube in data if cube["name"] == "default.repairs_cube_9"]) == 1 + + +@pytest.mark.asyncio +async def test_get_cube_version( + client_with_repairs_cube: AsyncClient, +): + """ + Test getting cube metadata for one revision + """ + response = await client_with_repairs_cube.get( + "/cubes/default.repairs_cube/versions/v1.0", + ) + assert response.is_success + data = response.json() + assert data["name"] == "default.repairs_cube" + assert data["version"] == "v1.0" + assert len(data["measures"]) == 6 + + +class TestCubeMaterializeV2Endpoint: + """ + Tests for POST /cubes/{name}/materialize endpoint (cube v2 materialization). + + These tests cover the v2 cube materialization workflow that: + 1. Builds combined SQL from pre-aggregations + 2. Generates Druid ingestion spec + 3. Creates workflow via query service + """ + + @pytest.mark.asyncio + async def test_materialize_cube_not_found( + self, + module__client_with_build_v3: AsyncClient, + ): + """Test materializing non-existent cube returns 404.""" + response = await module__client_with_build_v3.post( + "/cubes/nonexistent.cube/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + assert response.status_code == 404 + assert "not found" in response.json()["message"].lower() + + +class TestCubeDeactivateEndpoint: + """Tests for DELETE /cubes/{name}/materialize endpoint.""" + + @pytest.mark.asyncio + async def test_deactivate_cube_not_found( + self, + module__client_with_build_v3: AsyncClient, + ): + """Test deactivating non-existent cube returns 404.""" + response = await module__client_with_build_v3.delete( + "/cubes/nonexistent.cube/materialize", + ) + assert response.status_code == 404 + + @pytest.mark.asyncio + async def test_deactivate_cube_no_materialization( + self, + client_with_repairs_cube: AsyncClient, + ): + """Test deactivating cube with no materialization returns 404.""" + # Create cube without materialization + cube_name = "default.test_no_mat_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + response = await client_with_repairs_cube.delete( + f"/cubes/{cube_name}/materialize", + ) + assert response.status_code == 404 + assert ( + "no druid cube materialization found" in response.json()["message"].lower() + ) + + @pytest.mark.asyncio + async def test_deactivate_cube_success( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test successful cube deactivation.""" + + # Create cube with old-style materialization + cube_name = "default.test_deactivate_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=True, # Creates old-style materialization + ) + + # Now create the druid_cube materialization that the endpoint expects + # First, need to add a druid_cube materialization record via the session + # For now, let's test the "no materialization found" case is handled + + # Actually, the existing `make_a_test_cube` creates a `druid_metrics_cube` job + # materialization, not a `druid_cube` materialization. So this will return 404. + # Let's verify that behavior: + response = await client_with_repairs_cube.delete( + f"/cubes/{cube_name}/materialize", + ) + # The old make_a_test_cube creates a different type of materialization + # druid_cube is the new v2 type + assert response.status_code == 404 + + @pytest.mark.asyncio + async def test_deactivate_cube_workflow_failure_continues( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test that workflow deactivation failure doesn't block deletion.""" + + # Create cube first + cube_name = "default.test_deactivate_fail_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + # Manually add a druid_cube materialization record + # This requires session access, which is complex. For now, test returns 404. + response = await client_with_repairs_cube.delete( + f"/cubes/{cube_name}/materialize", + ) + assert response.status_code == 404 + + +class TestCubeBackfillEndpoint: + """Tests for POST /cubes/{name}/backfill endpoint.""" + + @pytest.mark.asyncio + async def test_backfill_cube_not_found( + self, + module__client_with_build_v3: AsyncClient, + ): + """Test backfill for non-existent cube returns 404.""" + response = await module__client_with_build_v3.post( + "/cubes/nonexistent.cube/backfill", + json={"start_date": "2024-01-01"}, + ) + assert response.status_code == 404 + + @pytest.mark.asyncio + async def test_backfill_cube_no_materialization( + self, + client_with_repairs_cube: AsyncClient, + ): + """Test backfill fails when cube has no v2 materialization.""" + # Create cube without v2 materialization + cube_name = "default.test_backfill_no_mat_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/backfill", + json={"start_date": "2024-01-01"}, + ) + assert response.status_code == 400 + assert "no materialization" in response.json()["message"].lower() + + @pytest.mark.asyncio + async def test_backfill_cube_with_old_materialization_fails( + self, + client_with_repairs_cube: AsyncClient, + ): + """Test backfill fails when cube has old-style materialization.""" + # Create cube with old-style materialization + cube_name = "default.test_backfill_old_mat_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=True, + ) + + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/backfill", + json={"start_date": "2024-01-01"}, + ) + # Old-style materialization is druid_metrics_cube, not druid_cube + assert response.status_code == 400 + + +def _create_mock_combined_result( + mocker, + columns, + shared_dimensions, + sql_string, + measure_components=None, + component_aliases=None, + metric_combiners=None, +): + """Helper to create a properly mocked CombinedGrainGroupResult.""" + mock_result = mocker.MagicMock() + mock_result.columns = columns + mock_result.shared_dimensions = shared_dimensions + mock_result.sql = sql_string + # V3 config requires these fields to be real values, not MagicMocks + mock_result.measure_components = measure_components or [] + mock_result.component_aliases = component_aliases or {} + mock_result.metric_combiners = metric_combiners or {} + return mock_result + + +class TestCubeMaterializeV2SuccessPaths: + """ + Tests for successful cube v2 materialization paths. + + These tests mock build_combiner_sql_from_preaggs to return valid results, + and mock the query service client to test the full endpoint flow. + """ + + @pytest.mark.asyncio + async def test_materialize_cube_full_strategy_success( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test successful full strategy cube materialization.""" + # Create a cube first + cube_name = "default.test_materialize_full_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + # Create mock columns + mock_columns = [ + V3ColumnMetadata( + name="state", + type="string", + semantic_name="default.hard_hat.state", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="total_repair_cost", + type="double", + semantic_name="default.total_repair_cost", + semantic_type="measure", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.state", "default.hard_hat.hire_date"], + sql_string="SELECT state, date_id, SUM(cost) as total_repair_cost FROM preagg GROUP BY state, date_id", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + # Mock query service client methods via dependency override + qs_client = client_with_repairs_cube.app.dependency_overrides[ + get_query_service_client + ]() + mocker.patch.object( + qs_client, + "materialize_cube_v2", + return_value=mocker.MagicMock(urls=["http://workflow/cube-workflow"]), + ) + + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + + assert response.status_code == 200, response.json() + data = response.json() + # Druid datasource is versioned: dj_{cube_name}_{version} + assert data["druid_datasource"] == f"dj_{cube_name.replace('.', '_')}_v1_0" + assert data["strategy"] == "full" + assert data["schedule"] == "0 0 * * *" + assert "workflow_urls" in data + assert len(data["workflow_urls"]) == 1 + + @pytest.mark.asyncio + async def test_materialize_cube_incremental_time_success( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test successful incremental_time strategy cube materialization.""" + cube_name = "default.test_materialize_incr_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="num_repair_orders", + type="bigint", + semantic_name="default.num_repair_orders", + semantic_type="measure", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.hire_date"], + sql_string="SELECT date_id, COUNT(*) FROM preagg GROUP BY date_id", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + qs_client = client_with_repairs_cube.app.dependency_overrides[ + get_query_service_client + ]() + mocker.patch.object( + qs_client, + "materialize_cube_v2", + return_value=mocker.MagicMock(urls=["http://workflow/cube-workflow"]), + ) + + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={ + "strategy": "incremental_time", + "schedule": "0 6 * * *", + "lookback_window": "3", + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + assert data["strategy"] == "incremental_time" + assert data["lookback_window"] == "3" + + @pytest.mark.asyncio + async def test_materialize_cube_incremental_no_temporal_partition_fails( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test incremental_time fails without temporal partition.""" + cube_name = "default.test_materialize_no_temporal_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="state", + type="string", + semantic_name="default.hard_hat.state", + semantic_type="dimension", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.state"], + sql_string="SELECT state FROM preagg GROUP BY state", + ) + + # No temporal partition info + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + None, # No temporal partition! + ), + ) + + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "incremental_time", "schedule": "0 0 * * *"}, + ) + + assert response.status_code == 400 + assert "temporal partition" in response.json()["message"].lower() + + @pytest.mark.asyncio + async def test_materialize_cube_query_service_failure_continues( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test that query service failure returns response with empty workflow_urls.""" + cube_name = "default.test_materialize_qs_fail_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.hire_date"], + sql_string="SELECT date_id FROM preagg GROUP BY date_id", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + # Mock query service to fail + qs_client = client_with_repairs_cube.app.dependency_overrides[ + get_query_service_client + ]() + mocker.patch.object( + qs_client, + "materialize_cube_v2", + side_effect=Exception("Query service unavailable"), + ) + + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + + # Should succeed but with empty workflow_urls + assert response.status_code == 200, response.json() + data = response.json() + assert data["workflow_urls"] == [] + assert "workflow creation failed" in data["message"].lower() + + @pytest.mark.asyncio + async def test_materialize_cube_updates_existing_materialization( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test that re-materializing updates existing materialization record.""" + cube_name = "default.test_materialize_update_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.hire_date"], + sql_string="SELECT date_id FROM preagg", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + qs_client = client_with_repairs_cube.app.dependency_overrides[ + get_query_service_client + ]() + mock_mat = mocker.patch.object( + qs_client, + "materialize_cube_v2", + return_value=mocker.MagicMock(urls=["http://workflow/v1"]), + ) + + # First materialization + response1 = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + assert response1.status_code == 200 + + # Second materialization (update) + mock_mat.return_value = mocker.MagicMock(urls=["http://workflow/v2"]) + response2 = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "incremental_time", "schedule": "0 6 * * *"}, + ) + assert response2.status_code == 200 + data = response2.json() + assert data["strategy"] == "incremental_time" + assert data["schedule"] == "0 6 * * *" + + @pytest.mark.asyncio + async def test_materialize_cube_returns_metric_combiners( + self, + client_with_build_v3: AsyncClient, + mocker, + ): + """Test that materialize_cube returns correct metric_combiners. + + This integration test uses real v3 metrics of various types: + - Simple: v3.total_revenue (SUM), v3.order_count (COUNT DISTINCT) + - Derived: v3.avg_order_value (total_revenue / order_count) + - Period-over-period: v3.wow_revenue_change (week-over-week) + + It plans a preagg with needed components, sets availability, creates + a cube, calls materialize, and verifies the metric_combiners in response. + """ + client = client_with_build_v3 + + # Set up mock query service client via dependency override + mock_qs_client = mocker.MagicMock() + mock_qs_client.materialize_cube_v2.return_value = mocker.MagicMock( + urls=["http://workflow/test-cube"], + ) + client.app.dependency_overrides[get_query_service_client] = ( + lambda: mock_qs_client + ) + + try: + # Set up temporal partition on v3.order_details.order_date column + # This is required for cube materialization timestamp detection + # (preagg temporal partition comes from the source node) + partition_response = await client.post( + "/nodes/v3.order_details/columns/order_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + assert partition_response.status_code in ( + 200, + 201, + 409, + ), f"Failed to set source partition: {partition_response.text}" + + # Plan a preagg that covers total_revenue and order_count (for derived) + # with week[order] dimension (for period-over-period metric) + plan_response = await client.post( + "/preaggs/plan", + json={ + "metrics": [ + "v3.total_revenue", + "v3.order_count", + "v3.customer_count", + "v3.avg_order_value", + "v3.wow_revenue_change", + ], + "dimensions": [ + "v3.product.category", + "v3.date.week[order]", + ], + "strategy": "full", + "schedule": "0 0 * * *", + }, + ) + assert plan_response.status_code == 201, ( + f"Failed to plan preagg: {plan_response.text}" + ) + preagg_id = plan_response.json()["preaggs"][0]["id"] + + # Set availability on the preagg so it can be used + avail_response = await client.post( + f"/preaggs/{preagg_id}/availability/", + json={ + "catalog": "analytics", + "schema": "preaggs", + "table": "v3_revenue_orders_by_week", + "valid_through_ts": 1704067200, + }, + ) + assert avail_response.status_code == 200 + + # Create a cube with multiple metric types: + # - Simple: total_revenue, order_count + # - Derived: avg_order_value (uses total_revenue / order_count) + # - Period-over-period: wow_revenue_change (week-over-week) + cube_name = "v3.test_materialize_cube" + cube_response = await client.post( + "/nodes/cube/", + json={ + "name": cube_name, + "display_name": "Test Materialize Cube", + "description": "Cube for testing materialization with multiple metric types", + "metrics": [ + "v3.total_revenue", + "v3.order_count", + "v3.customer_count", + "v3.avg_order_value", + "v3.wow_revenue_change", + ], + "dimensions": [ + "v3.product.category", + "v3.date.week[order]", + ], + "mode": "published", + }, + ) + assert cube_response.status_code == 201, ( + f"Failed to create cube: {cube_response.text}" + ) + + # Set temporal partition on the cube's date dimension column + # This maps the order_date partition to the cube's dimension + partition_response = await client.post( + f"/nodes/{cube_name}/columns/v3.date.week/partition", + json={ + "type_": "temporal", + "granularity": "week", + "format": "yyyyww", + }, + ) + assert partition_response.status_code in ( + 200, + 201, + ), f"Failed to set cube partition: {partition_response.text}" + + # Call materialize endpoint + mat_response = await client.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + assert mat_response.status_code == 200, ( + f"Materialize failed: {mat_response.text}" + ) + data = mat_response.json() + + # Verify metric_combiners are in the response + assert "metric_combiners" in data + metric_combiners = data["metric_combiners"] + assert metric_combiners == { + "v3.total_revenue": "SUM(line_total_sum_e1f61696)", + "v3.order_count": "COUNT( DISTINCT order_id_distinct_f93d50ab)", + "v3.avg_order_value": "SAFE_DIVIDE(SUM(line_total_sum_e1f61696), NULLIF(COUNT( DISTINCT order_id_distinct_f93d50ab), 0))", + # wow_revenue_change now has: + # - PARTITION BY injected (for querying the materialized cube) + # - Dimension refs replaced with column aliases (week_order instead of v3.date.week[order]) + "v3.wow_revenue_change": "SAFE_DIVIDE((SUM(line_total_sum_e1f61696) - LAG(SUM(line_total_sum_e1f61696), 1) OVER ( PARTITION BY category, order_id\n ORDER BY week_order) ), NULLIF(LAG(SUM(line_total_sum_e1f61696), 1) OVER ( PARTITION BY category, order_id\n ORDER BY week_order) , 0)) * 100", + "v3.customer_count": "hll_sketch_estimate(ds_hll(customer_id_hll_23002251))", + } + + # Verify other response fields + assert "combined_sql" in data + assert_sql_equal( + data["combined_sql"], + """ + SELECT + category, + order_id, + SUM(line_total_sum_e1f61696) line_total_sum_e1f61696, + hll_union_agg(customer_id_hll_23002251) customer_id_hll_23002251, + week_order + FROM default.dj_preaggs.v3_order_details_preagg_3983c442 + GROUP BY category, order_id, week_order + """, + ) + assert data["combined_grain"] == ["category", "order_id", "week_order"] + assert data["combined_columns"] == [ + { + "column": None, + "name": "category", + "node": None, + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": None, + "name": "order_id", + "node": None, + "semantic_entity": "v3.order_details.order_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "column": None, + "name": "line_total_sum_e1f61696", + "node": None, + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + "type": "double", + }, + { + "column": None, + "name": "customer_id_hll_23002251", + "node": None, + "semantic_entity": "v3.customer_count:customer_id_hll_23002251", + "semantic_type": "metric_component", + "type": "binary", + }, + { + "column": None, + "name": "week_order", + "node": None, + "semantic_entity": "v3.date.week[order]", + "semantic_type": "dimension", + "type": "int", + }, + ] + finally: + # Clean up dependency override + if get_query_service_client in client.app.dependency_overrides: + del client.app.dependency_overrides[get_query_service_client] + + +class TestCubeDeactivateSuccessPaths: + """ + Tests for successful cube deactivation paths. + """ + + @pytest.mark.asyncio + async def test_deactivate_cube_with_druid_cube_materialization( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test successful deactivation of cube with druid_cube materialization.""" + cube_name = "default.test_deactivate_success_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.hire_date"], + sql_string="SELECT date_id FROM preagg", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + # Set up mock query service client + mock_qs_client = mocker.MagicMock() + mock_qs_client.materialize_cube_v2.return_value = mocker.MagicMock( + urls=["http://workflow/cube-workflow"], + ) + mock_qs_client.deactivate_cube_workflow.return_value = {"status": "deactivated"} + client_with_repairs_cube.app.dependency_overrides[get_query_service_client] = ( + lambda: mock_qs_client + ) + + # Create materialization + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + assert response.status_code == 200 + + # Now deactivate + response = await client_with_repairs_cube.delete( + f"/cubes/{cube_name}/materialize", + ) + assert response.status_code == 200 + assert "deactivated" in response.json()["message"].lower() + + # Verify workflow deactivation was called with version + mock_qs_client.deactivate_cube_workflow.assert_called_once_with( + cube_name, + version="v1.0", + request_headers=mocker.ANY, + ) + + @pytest.mark.asyncio + async def test_deactivate_cube_workflow_failure_still_deletes( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test that workflow deactivation failure still deletes materialization.""" + cube_name = "default.test_deactivate_wf_fail_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.hire_date"], + sql_string="SELECT date_id FROM preagg", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + # Set up mock query service client + mock_qs_client = mocker.MagicMock() + mock_qs_client.materialize_cube_v2.return_value = mocker.MagicMock( + urls=["http://workflow/cube-workflow"], + ) + client_with_repairs_cube.app.dependency_overrides[get_query_service_client] = ( + lambda: mock_qs_client + ) + + # Create materialization + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + assert response.status_code == 200 + + # Mock workflow deactivation to fail + mock_qs_client.deactivate_cube_workflow.side_effect = Exception( + "Workflow not found", + ) + + # Deactivation should still succeed (materialization deleted) + response = await client_with_repairs_cube.delete( + f"/cubes/{cube_name}/materialize", + ) + assert response.status_code == 200 + + +class TestCubeBackfillSuccessPaths: + """ + Tests for successful cube backfill paths. + """ + + @pytest.mark.asyncio + async def test_backfill_cube_success( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test successful cube backfill.""" + cube_name = "default.test_backfill_success_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.hire_date"], + sql_string="SELECT date_id FROM preagg", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + # Set up mock query service client + mock_qs_client = mocker.MagicMock() + mock_qs_client.materialize_cube_v2.return_value = mocker.MagicMock( + urls=["http://workflow/cube-workflow"], + ) + mock_qs_client.run_cube_backfill.return_value = { + "job_url": "http://workflow/backfill-job-123", + } + client_with_repairs_cube.app.dependency_overrides[get_query_service_client] = ( + lambda: mock_qs_client + ) + + # Create materialization + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + assert response.status_code == 200 + + # Run backfill + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/backfill", + json={ + "start_date": "2024-01-01", + "end_date": "2024-01-31", + }, + ) + assert response.status_code == 200, response.json() + data = response.json() + assert data["job_url"] == "http://workflow/backfill-job-123" + assert data["start_date"] == "2024-01-01" + assert data["end_date"] == "2024-01-31" + assert data["status"] == "running" + + # Verify cube_version was passed to run_cube_backfill + mock_qs_client.run_cube_backfill.assert_called_once() + backfill_input = mock_qs_client.run_cube_backfill.call_args[0][0] + assert backfill_input.cube_name == cube_name + assert backfill_input.cube_version == "v1.0" + + @pytest.mark.asyncio + async def test_backfill_cube_with_default_end_date( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test backfill defaults end_date to today.""" + cube_name = "default.test_backfill_default_end_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.hire_date"], + sql_string="SELECT date_id FROM preagg", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + # Set up mock query service client + mock_qs_client = mocker.MagicMock() + mock_qs_client.materialize_cube_v2.return_value = mocker.MagicMock( + urls=["http://workflow/cube-workflow"], + ) + mock_qs_client.run_cube_backfill.return_value = {"job_url": "http://backfill"} + client_with_repairs_cube.app.dependency_overrides[get_query_service_client] = ( + lambda: mock_qs_client + ) + + # Create materialization + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + assert response.status_code == 200 + + # Run backfill without end_date + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/backfill", + json={"start_date": "2024-01-01"}, + ) + assert response.status_code == 200 + data = response.json() + # end_date should be set to today's date + assert data["end_date"] is not None + + @pytest.mark.asyncio + async def test_backfill_cube_query_service_failure( + self, + client_with_repairs_cube: AsyncClient, + mocker, + ): + """Test backfill raises exception when query service fails.""" + cube_name = "default.test_backfill_qs_fail_cube" + await make_a_test_cube( + client_with_repairs_cube, + cube_name, + with_materialization=False, + ) + + mock_columns = [ + V3ColumnMetadata( + name="date_id", + type="int", + semantic_name="default.hard_hat.hire_date", + semantic_type="dimension", + ), + ] + + mock_combined_result = _create_mock_combined_result( + mocker, + columns=mock_columns, + shared_dimensions=["default.hard_hat.hire_date"], + sql_string="SELECT date_id FROM preagg", + ) + + mock_temporal_info = TemporalPartitionInfo( + column_name="date_id", + format="yyyyMMdd", + granularity="day", + ) + + mocker.patch( + "datajunction_server.api.cubes.build_combiner_sql_from_preaggs", + return_value=( + mock_combined_result, + ["catalog.schema.preagg_table1"], + mock_temporal_info, + ), + ) + + # Set up mock query service client + mock_qs_client = mocker.MagicMock() + mock_qs_client.materialize_cube_v2.return_value = mocker.MagicMock( + urls=["http://workflow/cube-workflow"], + ) + client_with_repairs_cube.app.dependency_overrides[get_query_service_client] = ( + lambda: mock_qs_client + ) + + # Create materialization + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/materialize", + json={"strategy": "full", "schedule": "0 0 * * *"}, + ) + assert response.status_code == 200 + + # Mock backfill to fail + mock_qs_client.run_cube_backfill.side_effect = Exception("Backfill failed") + + # Run backfill - should raise + response = await client_with_repairs_cube.post( + f"/cubes/{cube_name}/backfill", + json={"start_date": "2024-01-01"}, + ) + assert response.status_code == 500 + assert "failed to run cube backfill" in response.json()["message"].lower() diff --git a/datajunction-server/tests/api/data_test.py b/datajunction-server/tests/api/data_test.py new file mode 100644 index 000000000..44d9e9180 --- /dev/null +++ b/datajunction-server/tests/api/data_test.py @@ -0,0 +1,1938 @@ +""" +Tests for the data API. +""" + +from typing import Dict, List, Optional, cast +from unittest import mock + +import pytest +from httpx import AsyncClient +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload, selectinload + +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.models.node import AvailabilityStateBase + + +class TestDataForNode: + """ + Test ``POST /data/{node_name}/``. + """ + + @pytest.mark.asyncio + async def test_get_dimension_data_failed( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test trying to get dimensions data while setting dimensions + """ + response = await module__client_with_account_revenue.get( + "/data/default.payment_type/", + params={ + "dimensions": ["something"], + "filters": [], + }, + ) + data = response.json() + assert response.status_code == 500 + assert ( + "This dimension attribute cannot be joined in: something" in data["message"] + ) + + @pytest.mark.asyncio + async def test_get_dimension_data( + self, + module__client_with_account_revenue, + ) -> None: + """ + Test trying to get dimensions data while setting dimensions + """ + response = await module__client_with_account_revenue.get( + "/data/default.payment_type/", + ) + data = response.json() + assert response.status_code == 200 + assert data == { + "engine_name": None, + "engine_version": None, + "errors": [], + "executed_query": None, + "finished": None, + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "links": None, + "next": None, + "output_table": None, + "previous": None, + "progress": 0.0, + "results": [ + { + "columns": [ + { + "column": "id", + "name": "default_DOT_payment_type_DOT_id", + "node": "default.payment_type", + "semantic_type": None, + "semantic_entity": "default.payment_type.id", + "type": "int", + }, + { + "column": "payment_type_name", + "name": "default_DOT_payment_type_DOT_payment_type_name", + "node": "default.payment_type", + "semantic_type": None, + "semantic_entity": "default.payment_type.payment_type_name", + "type": "string", + }, + { + "column": "payment_type_classification", + "name": "default_DOT_payment_type_DOT_payment_type_classification", + "node": "default.payment_type", + "semantic_type": None, + "semantic_entity": "default.payment_type.payment_type_classification", + "type": "string", + }, + ], + "row_count": 0, + "rows": [[1, "VISA", "CARD"], [2, "MASTERCARD", "CARD"]], + "sql": mock.ANY, + }, + ], + "scheduled": None, + "started": None, + "state": "FINISHED", + "submitted_query": mock.ANY, + } + + @pytest.mark.asyncio + async def test_get_source_data( + self, + module__client_with_account_revenue, + ) -> None: + """ + Test retrieving data for a source node + """ + response = await module__client_with_account_revenue.get( + "/data/default.revenue/", + ) + data = response.json() + assert response.status_code == 200 + assert data == { + "engine_name": None, + "engine_version": None, + "errors": [], + "executed_query": None, + "finished": None, + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "links": None, + "next": None, + "output_table": None, + "previous": None, + "progress": 0.0, + "results": [ + { + "columns": [ + { + "column": "payment_id", + "name": "default_DOT_revenue_DOT_payment_id", + "node": "default.revenue", + "semantic_entity": "default.revenue.payment_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "payment_amount", + "name": "default_DOT_revenue_DOT_payment_amount", + "node": "default.revenue", + "semantic_entity": "default.revenue.payment_amount", + "semantic_type": None, + "type": "float", + }, + { + "column": "payment_type", + "name": "default_DOT_revenue_DOT_payment_type", + "node": "default.revenue", + "semantic_entity": "default.revenue.payment_type", + "semantic_type": None, + "type": "int", + }, + { + "column": "customer_id", + "name": "default_DOT_revenue_DOT_customer_id", + "node": "default.revenue", + "semantic_entity": "default.revenue.customer_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "account_type", + "name": "default_DOT_revenue_DOT_account_type", + "node": "default.revenue", + "semantic_entity": "default.revenue.account_type", + "semantic_type": None, + "type": "string", + }, + ], + "row_count": 0, + "rows": [ + [1, 25.5, 1, 2, "ACTIVE"], + [2, 12.5, 2, 2, "INACTIVE"], + [3, 89.0, 1, 3, "ACTIVE"], + [4, 1293.199951171875, 2, 2, "ACTIVE"], + [5, 23.0, 1, 4, "INACTIVE"], + [6, 398.1300048828125, 2, 3, "ACTIVE"], + [7, 239.6999969482422, 2, 4, "ACTIVE"], + ], + "sql": "SELECT payment_id default_DOT_revenue_DOT_payment_id,\n" + "\tpayment_amount " + "default_DOT_revenue_DOT_payment_amount,\n" + "\tpayment_type default_DOT_revenue_DOT_payment_type,\n" + "\tcustomer_id default_DOT_revenue_DOT_customer_id,\n" + "\taccount_type default_DOT_revenue_DOT_account_type \n" + " FROM accounting.revenue\n", + }, + ], + "scheduled": None, + "started": None, + "state": "FINISHED", + "submitted_query": "SELECT payment_id default_DOT_revenue_DOT_payment_id,\n" + "\tpayment_amount default_DOT_revenue_DOT_payment_amount,\n" + "\tpayment_type default_DOT_revenue_DOT_payment_type,\n" + "\tcustomer_id default_DOT_revenue_DOT_customer_id,\n" + "\taccount_type default_DOT_revenue_DOT_account_type \n" + " FROM accounting.revenue\n", + } + + @pytest.mark.asyncio + async def test_get_transform_data( + self, + module__client_with_roads, + ) -> None: + """ + Test retrieving data for a transform node + """ + response = await module__client_with_roads.get( + "/data/default.repair_orders_fact/?limit=2", + ) + data = response.json() + assert response.status_code == 200 + assert data == { + "engine_name": None, + "engine_version": None, + "errors": [], + "executed_query": None, + "finished": None, + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "links": None, + "next": None, + "output_table": None, + "previous": None, + "progress": 0.0, + "results": [ + { + "columns": [ + { + "column": "repair_order_id", + "name": "default_DOT_repair_orders_fact_DOT_repair_order_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_order_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "municipality_id", + "name": "default_DOT_repair_orders_fact_DOT_municipality_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.municipality_id", + "semantic_type": None, + "type": "string", + }, + { + "column": "hard_hat_id", + "name": "default_DOT_repair_orders_fact_DOT_hard_hat_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.hard_hat_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "dispatcher_id", + "name": "default_DOT_repair_orders_fact_DOT_dispatcher_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatcher_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "order_date", + "name": "default_DOT_repair_orders_fact_DOT_order_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.order_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatched_date", + "name": "default_DOT_repair_orders_fact_DOT_dispatched_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatched_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "required_date", + "name": "default_DOT_repair_orders_fact_DOT_required_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.required_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "discount", + "name": "default_DOT_repair_orders_fact_DOT_discount", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.discount", + "semantic_type": None, + "type": "float", + }, + { + "column": "price", + "name": "default_DOT_repair_orders_fact_DOT_price", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price", + "semantic_type": None, + "type": "float", + }, + { + "column": "quantity", + "name": "default_DOT_repair_orders_fact_DOT_quantity", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.quantity", + "semantic_type": None, + "type": "int", + }, + { + "column": "repair_type_id", + "name": "default_DOT_repair_orders_fact_DOT_repair_type_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_type_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "total_repair_cost", + "name": "default_DOT_repair_orders_fact_DOT_total_repair_cost", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.total_repair_cost", + "semantic_type": None, + "type": "float", + }, + { + "column": "time_to_dispatch", + "name": "default_DOT_repair_orders_fact_DOT_time_to_dispatch", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.time_to_dispatch", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatch_delay", + "name": "default_DOT_repair_orders_fact_DOT_dispatch_delay", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatch_delay", + "semantic_type": None, + "type": "timestamp", + }, + ], + "row_count": 0, + "rows": [ + [ + 10001, + "New York", + 1, + 3, + "2007-07-04", + "2007-12-01", + "2009-07-18", + 0.05000000074505806, + 63708.0, + 1, + 1, + 63708.0, + 150, + -595, + ], + [ + 10002, + "New York", + 3, + 1, + "2007-07-05", + "2007-12-01", + "2009-08-28", + 0.05000000074505806, + 67253.0, + 1, + 4, + 67253.0, + 149, + -636, + ], + ], + "sql": mock.ANY, + }, + ], + "scheduled": None, + "started": None, + "state": "FINISHED", + "submitted_query": mock.ANY, + } + + @pytest.mark.asyncio + async def test_get_metric_data( + self, + module__client_with_roads, + ) -> None: + """ + Test retrieving data for a metric + """ + response = await module__client_with_roads.get( + "/data/default.num_repair_orders/", + ) + data = response.json() + assert response.status_code == 200 + assert data == { + "engine_name": None, + "engine_version": None, + "errors": [], + "executed_query": None, + "finished": None, + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "links": None, + "next": None, + "output_table": None, + "previous": None, + "progress": 0.0, + "results": [ + { + "columns": [ + { + "column": "default_DOT_num_repair_orders", + "name": "default_DOT_num_repair_orders", + "node": "default.num_repair_orders", + "semantic_entity": ( + "default.num_repair_orders.default_DOT_num_repair_orders" + ), + "semantic_type": "metric", + "type": "bigint", + }, + ], + "row_count": 0, + "rows": [[25]], + "sql": mock.ANY, + }, + ], + "scheduled": None, + "started": None, + "state": "FINISHED", + "submitted_query": mock.ANY, + } + + @pytest.mark.asyncio + async def test_get_multiple_metrics_and_dimensions_data( + self, + module__client_with_roads, + ) -> None: + """ + Test getting multiple metrics and dimensions + """ + response = await module__client_with_roads.get( + "/data?metrics=default.num_repair_orders&metrics=" + "default.avg_repair_price&dimensions=default.dispatcher.company_name&limit=10", + ) + data = response.json() + assert response.status_code == 200 + assert data == { + "engine_name": None, + "engine_version": None, + "errors": [], + "executed_query": None, + "finished": None, + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "links": None, + "next": None, + "output_table": None, + "previous": None, + "progress": 0.0, + "results": [ + { + "columns": [ + { + "name": "company_name", + "semantic_name": "default.dispatcher.company_name", + "type": "string", + "semantic_type": "dimension", + }, + { + "name": "num_repair_orders", + "semantic_name": "default.num_repair_orders", + "type": "bigint", + "semantic_type": "metric", + }, + { + "name": "avg_repair_price", + "semantic_name": "default.avg_repair_price", + "type": "double", + "semantic_type": "metric", + }, + ], + "row_count": 0, + "rows": [ + ["Federal Roads Group", 9, 51913.88888888889], + ["Pothole Pete", 8, 62205.875], + ["Asphalts R Us", 8, 68914.75], + ], + "sql": mock.ANY, + }, + ], + "scheduled": None, + "started": None, + "state": "FINISHED", + "submitted_query": mock.ANY, + } + + @pytest.mark.asyncio + async def test_stream_multiple_metrics_and_dimensions_data( + self, + module__session: AsyncSession, + module__client_with_roads, + ) -> None: + """ + Test streaming query status for + (a) multiple metrics and dimensions and + (b) node data + """ + async with module__client_with_roads.stream( + "GET", + "/stream?metrics=default.num_repair_orders&metrics=" + "default.avg_repair_price&dimensions=default.dispatcher.company_name&limit=10", + headers={ + "Accept": "text/event-stream", + }, + ) as response: + assert response.status_code == 200 + full_text = "".join([text async for text in response.aiter_text()]) + assert "event: message" in full_text + assert "avg(repair_order_details.price)" in full_text + + # Test streaming of node data for a metric + async with module__client_with_roads.stream( + "GET", + "/stream/default.num_repair_orders?dimensions=default.dispatcher.company_name&limit=10", + headers={ + "Accept": "text/event-stream", + }, + ) as response: + assert response.status_code == 200 + full_text = "".join([text async for text in response.aiter_text()]) + assert "event: message" in full_text + assert "count(default_DOT_repair_orders_fact.repair_order_id)" in full_text + + # Test streaming of node data for a transform + async with module__client_with_roads.stream( + "GET", + "/stream/default.repair_orders_fact?" + "dimensions=default.dispatcher.company_name&limit=10", + headers={ + "Accept": "text/event-stream", + }, + ) as response: + assert response.status_code == 200 + full_text = "\n".join([text async for text in response.aiter_lines()]) + assert "event: message" in full_text + assert "SELECT default_DOT_repair_orders_fact.repair_order_id" in full_text + + # Hit the same SSE stream again + async with module__client_with_roads.stream( + "GET", + "/stream/default.repair_orders_fact?" + "dimensions=default.dispatcher.company_name&limit=10", + headers={ + "Accept": "text/event-stream", + }, + ) as response: + assert response.status_code == 200 + full_text = "\n".join([text async for text in response.aiter_lines()]) + assert "event: message" in full_text + assert "SELECT default_DOT_repair_orders_fact.repair_order_id" in full_text + + @pytest.mark.asyncio + async def test_get_data_for_query_id( + self, + module__client_with_roads, + ) -> None: + """ + Test retrieving data for a query ID + """ + # run some query + response = await module__client_with_roads.get( + "/data/default.num_repair_orders/", + ) + data = response.json() + assert response.status_code == 200 + assert data["id"] == "bd98d6be-e2d2-413e-94c7-96d9411ddee2" + + # and try to get the results by the query id only + new_response = await module__client_with_roads.get(f"/data/query/{data['id']}/") + new_data = response.json() + assert new_response.status_code == 200 + assert new_data["results"] == [ + { + "columns": [ + { + "column": "default_DOT_num_repair_orders", + "name": "default_DOT_num_repair_orders", + "node": "default.num_repair_orders", + "semantic_entity": ( + "default.num_repair_orders.default_DOT_num_repair_orders" + ), + "semantic_type": "metric", + "type": "bigint", + }, + ], + "row_count": 0, + "rows": [[25]], + "sql": mock.ANY, + }, + ] + + # and repeat for a bogus query id + yet_another_response = await module__client_with_roads.get( + "/data/query/foo-bar-baz/", + ) + assert yet_another_response.status_code == 404 + assert "Query foo-bar-baz not found." in yet_another_response.text + + +class TestAvailabilityState: + """ + Test ``POST /data/{node_name}/availability/``. + """ + + @pytest.mark.asyncio + async def test_setting_availability_state( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test adding an availability state + """ + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "url": "http://some.catalog.com/default.accounting.pmts", + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data == {"message": "Availability state successfully posted"} + + # Check that the history tracker has been updated + response = await module__client_with_account_revenue.get( + "/history?node=default.large_revenue_payments_and_business_only", + ) + data = response.json() + availability_activities = [ + activity for activity in data if activity["entity_type"] == "availability" + ] + assert availability_activities == [ + { + "activity_type": "create", + "created_at": mock.ANY, + "details": {}, + "entity_name": None, + "node": "default.large_revenue_payments_and_business_only", + "entity_type": "availability", + "id": mock.ANY, + "post": { + "catalog": "default", + "categorical_partitions": [], + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "partitions": [], + "schema_": "accounting", + "table": "pmts", + "temporal_partitions": [], + "valid_through_ts": 20230125, + "url": "http://some.catalog.com/default.accounting.pmts", + "links": {}, + }, + "pre": {}, + "user": "dj", + }, + ] + + large_revenue_payments_and_business_only = await Node.get_by_name( + module__session, + "default.large_revenue_payments_and_business_only", + ) + node_dict = AvailabilityStateBase.model_validate( + large_revenue_payments_and_business_only.current.availability, # type: ignore + ).model_dump() + assert node_dict == { + "valid_through_ts": 20230125, + "catalog": "default", + "min_temporal_partition": ["2022", "01", "01"], + "table": "pmts", + "max_temporal_partition": ["2023", "01", "25"], + "partitions": [], + "schema_": "accounting", + "categorical_partitions": [], + "temporal_partitions": [], + "url": "http://some.catalog.com/default.accounting.pmts", + "links": {}, + } + + @pytest.mark.asyncio + async def test_availability_catalog_mismatch( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test that setting availability works even when the catalogs do not match + """ + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only/availability/", + json={ + "catalog": "public", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data["message"] == "Availability state successfully posted" + + @pytest.mark.asyncio + async def test_setting_availability_state_multiple_times( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test adding multiple availability states + """ + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only_1/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data == {"message": "Availability state successfully posted"} + + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only_1/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data == {"message": "Availability state successfully posted"} + + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only_1/availability/", + json={ + "catalog": "default", + "schema_": "new_accounting", + "table": "new_payments_table", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "categorical_partitions": [], + "temporal_partitions": [], + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data == {"message": "Availability state successfully posted"} + + # Check that the history tracker has been updated + response = await module__client_with_account_revenue.get( + "/history/?node=default.large_revenue_payments_and_business_only_1", + ) + data = response.json() + availability_activities = [ + activity for activity in data if activity["entity_type"] == "availability" + ] + assert availability_activities == [ + { + "activity_type": "create", + "created_at": mock.ANY, + "details": {}, + "entity_name": None, + "node": "default.large_revenue_payments_and_business_only_1", + "entity_type": "availability", + "id": mock.ANY, + "post": { + "catalog": "default", + "categorical_partitions": [], + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "partitions": [], + "schema_": "new_accounting", + "table": "new_payments_table", + "temporal_partitions": [], + "valid_through_ts": 20230125, + "url": None, + "links": {}, + }, + "pre": { + "catalog": "default", + "categorical_partitions": [], + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "partitions": [], + "schema_": "accounting", + "table": "pmts", + "temporal_partitions": [], + "valid_through_ts": 20230125, + "url": None, + "links": {}, + }, + "user": "dj", + }, + { + "activity_type": "create", + "created_at": mock.ANY, + "details": {}, + "entity_name": None, + "node": "default.large_revenue_payments_and_business_only_1", + "entity_type": "availability", + "id": mock.ANY, + "post": { + "catalog": "default", + "categorical_partitions": [], + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "partitions": [], + "schema_": "accounting", + "table": "pmts", + "temporal_partitions": [], + "valid_through_ts": 20230125, + "url": None, + "links": {}, + }, + "pre": { + "catalog": "default", + "categorical_partitions": [], + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "partitions": [], + "schema_": "accounting", + "table": "pmts", + "temporal_partitions": [], + "valid_through_ts": 20230125, + "url": None, + "links": {}, + }, + "user": "dj", + }, + { + "activity_type": "create", + "created_at": mock.ANY, + "details": {}, + "entity_name": None, + "node": "default.large_revenue_payments_and_business_only_1", + "entity_type": "availability", + "id": mock.ANY, + "post": { + "catalog": "default", + "categorical_partitions": [], + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "partitions": [], + "schema_": "accounting", + "table": "pmts", + "temporal_partitions": [], + "valid_through_ts": 20230125, + "url": None, + "links": {}, + }, + "pre": {}, + "user": "dj", + }, + ] + + large_revenue_payments_and_business_only = await Node.get_by_name( + module__session, + "default.large_revenue_payments_and_business_only_1", + ) + node_dict = AvailabilityStateBase.model_validate( + large_revenue_payments_and_business_only.current.availability, # type: ignore + ).model_dump() + assert node_dict == { + "valid_through_ts": 20230125, + "catalog": "default", + "min_temporal_partition": ["2022", "01", "01"], + "table": "new_payments_table", + "max_temporal_partition": ["2023", "01", "25"], + "partitions": [], + "schema_": "new_accounting", + "categorical_partitions": [], + "temporal_partitions": [], + "url": None, + "links": {}, + } + + @pytest.mark.asyncio + async def test_that_update_at_timestamp_is_being_updated( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test that the `updated_at` attribute is being updated + """ + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + assert response.status_code == 200 + large_revenue_payments_and_business_only = await Node.get_by_name( + module__session, + "default.large_revenue_payments_and_business_only", + ) + updated_at_1 = ( + large_revenue_payments_and_business_only.current.availability.updated_at # type: ignore + ) + + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + assert response.status_code == 200 + + large_revenue_payments_and_business_only = await Node.get_by_name( + module__session, + "default.large_revenue_payments_and_business_only", + ) + updated_at_2 = ( + large_revenue_payments_and_business_only.current.availability.updated_at # type: ignore + ) + + assert updated_at_2 > updated_at_1 + + @pytest.mark.asyncio + async def test_raising_when_node_does_not_exist( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test raising when setting availability state on non-existent node + """ + response = await module__client_with_account_revenue.post( + "/data/default.nonexistentnode/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": [20230125], + "min_temporal_partition": [20220101], + }, + ) + data = response.json() + + assert response.status_code == 404 + assert data == { + "message": "A node with name `default.nonexistentnode` does not exist.", + "errors": [], + "warnings": [], + } + + @pytest.mark.asyncio + async def test_merging_in_a_higher_max_partition( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test that the higher max_partition value is used when merging in an availability state + """ + await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_only/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "large_pmts", + "valid_through_ts": 1709827200000, + "temporal_partitions": ["payment_id"], + "max_temporal_partition": [20230101], + "min_temporal_partition": [20220101], + }, + ) + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_only/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "large_pmts", + "valid_through_ts": 1710097200000, + "temporal_partitions": ["payment_id"], + "max_temporal_partition": [ + 20230102, + ], # should be used since it's a higher max_temporal_partition + "min_temporal_partition": [ + 20230102, + ], # should be ignored since it's a higher min_temporal_partition + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data == {"message": "Availability state successfully posted"} + + large_revenue_payments_only = ( + await module__client_with_account_revenue.get( + "/nodes/default.large_revenue_payments_only", + ) + ).json() + assert large_revenue_payments_only["availability"] == { + "valid_through_ts": 1710097200000, + "catalog": "default", + "min_temporal_partition": ["20220101"], + "table": "large_pmts", + "max_temporal_partition": ["20230102"], + "schema_": "accounting", + "partitions": [], + "categorical_partitions": [], + "temporal_partitions": ["payment_id"], + "url": None, + "links": {}, + } + + @pytest.fixture + def post_local_hard_hats_availability(self, module__client_with_roads: AsyncClient): + """ + Fixture for posting availability for local_hard_hats + """ + + async def _post( + node_name: str = "default.local_hard_hats", + min_temporal_partition: Optional[List[str]] = None, + max_temporal_partition: Optional[List[str]] = None, + partitions: List[Dict] = None, + categorical_partitions: List[str] = None, + ): + if categorical_partitions is None: + categorical_partitions = ["country", "postal_code"] + return await module__client_with_roads.post( + f"/data/{node_name}/availability/", + json={ + "catalog": "default", + "schema_": "dimensions", + "table": "local_hard_hats", + "valid_through_ts": 20230101, + "categorical_partitions": categorical_partitions, + "temporal_partitions": ["birth_date"], + "min_temporal_partition": min_temporal_partition, + "max_temporal_partition": max_temporal_partition, + "partitions": partitions, + }, + ) + + return _post + + @pytest.mark.asyncio + async def test_set_temporal_only_availability( + self, + module__client_with_roads: AsyncClient, + post_local_hard_hats_availability, + ): + """ + Test setting availability on a node where it only has temporal partitions and + no categorical partitions. + """ + await post_local_hard_hats_availability( + min_temporal_partition=["20230101"], + max_temporal_partition=["20230105"], + partitions=[], + categorical_partitions=[], + ) + await post_local_hard_hats_availability( + min_temporal_partition=["20230101"], + max_temporal_partition=["20230110"], + partitions=[], + categorical_partitions=[], + ) + + response = await module__client_with_roads.get( + "/nodes/default.local_hard_hats/", + ) + assert response.json()["availability"] == { + "catalog": "default", + "min_temporal_partition": ["20230101"], + "max_temporal_partition": ["20230110"], + "categorical_partitions": [], + "temporal_partitions": ["birth_date"], + "partitions": [], + "schema_": "dimensions", + "table": "local_hard_hats", + "valid_through_ts": 20230101, + "url": None, + "links": {}, + } + + @pytest.mark.asyncio + async def test_set_node_level_availability_wider_time_range( + self, + module__client_with_roads: AsyncClient, + post_local_hard_hats_availability, + ): + """ + The node starts off with partition-level availability with a specific time range. + We add in a node-level availability with a wider time range than at the partition + level. We expect this new availability state to overwrite the partition-level + availability. + """ + # Set initial availability state + await post_local_hard_hats_availability( + partitions=[ + { + "value": ["DE", "ABC123D"], + "min_temporal_partition": ["20230101"], + "max_temporal_partition": ["20230105"], + "valid_through_ts": 20230101, + }, + ], + ) + # Post wider availability + await post_local_hard_hats_availability( + min_temporal_partition=["20230101"], + max_temporal_partition=["20230110"], + partitions=[], + ) + + response = await module__client_with_roads.get( + "/nodes/default.local_hard_hats/", + ) + assert response.json()["availability"] == { + "catalog": "default", + "min_temporal_partition": ["20230101"], + "max_temporal_partition": ["20230110"], + "categorical_partitions": ["country", "postal_code"], + "temporal_partitions": ["birth_date"], + "partitions": [], + "schema_": "dimensions", + "table": "local_hard_hats", + "valid_through_ts": 20230101, + "url": None, + "links": {}, + } + + @pytest.mark.asyncio + async def test_set_node_level_availability_smaller_time_range( + self, + module__client_with_roads: AsyncClient, + post_local_hard_hats_availability, + ): + """ + Set a node level availability with a smaller time range than the existing + one will result in no change to the merged availability state + """ + await post_local_hard_hats_availability( + min_temporal_partition=["20230101"], + max_temporal_partition=["20230110"], + partitions=[], + ) + + await post_local_hard_hats_availability( + min_temporal_partition=["20230103"], + max_temporal_partition=["20230105"], + partitions=[], + ) + + response = await module__client_with_roads.get( + "/nodes/default.local_hard_hats/", + ) + availability = response.json()["availability"] + assert availability["min_temporal_partition"] == ["20230101"] + assert availability["max_temporal_partition"] == ["20230110"] + assert availability["partitions"] == [] + + @pytest.mark.asyncio + async def test_set_partition_level_availability_smaller_time_range( + self, + module__client_with_roads: AsyncClient, + post_local_hard_hats_availability, + ): + """ + Set a partition-level availability with a smaller time range than + the existing node-level time range will result in no change to the + merged availability state + """ + await post_local_hard_hats_availability( + min_temporal_partition=["20230101"], + max_temporal_partition=["20230110"], + partitions=[], + ) + + await post_local_hard_hats_availability( + partitions=[ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230107"], + "valid_through_ts": 20230101, + }, + ], + ) + + response = await module__client_with_roads.get( + "/nodes/default.local_hard_hats/", + ) + availability = response.json()["availability"] + assert availability["min_temporal_partition"] == ["20230101"] + assert availability["max_temporal_partition"] == ["20230110"] + assert availability["partitions"] == [] + + @pytest.mark.asyncio + async def test_set_partition_level_availability_larger_time_range( + self, + module__client_with_roads: AsyncClient, + post_local_hard_hats_availability, + ): + """ + Set a partition-level availability with a larger time range than + the existing node-level time range will result in the partition with + the larger range being recorded + """ + await post_local_hard_hats_availability( + min_temporal_partition=["20230101"], + max_temporal_partition=["20230110"], + partitions=[], + ) + + await post_local_hard_hats_availability( + partitions=[ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + ], + ) + + response = await module__client_with_roads.get( + "/nodes/default.local_hard_hats/", + ) + availability = response.json()["availability"] + assert availability["min_temporal_partition"] == ["20230101"] + assert availability["max_temporal_partition"] == ["20230110"] + assert availability["partitions"] == [ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + ] + + @pytest.mark.asyncio + async def test_set_orthogonal_partition_level_availability( + self, + module__client_with_roads: AsyncClient, + post_local_hard_hats_availability, + ): + """ + Test setting an orthogonal partition-level availability. + """ + await post_local_hard_hats_availability( + min_temporal_partition=["20230101"], + max_temporal_partition=["20230110"], + partitions=[ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + ], + ) + + await post_local_hard_hats_availability( + partitions=[ + { + "value": ["MY", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + ], + ) + + response = await module__client_with_roads.get( + "/nodes/default.local_hard_hats/", + ) + availability = response.json()["availability"] + assert availability["min_temporal_partition"] == ["20230101"] + assert availability["max_temporal_partition"] == ["20230110"] + assert availability["partitions"] == [ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + { + "value": ["MY", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + ] + + @pytest.mark.asyncio + async def test_set_overlap_partition_level_availability( + self, + module__client_with_roads: AsyncClient, + post_local_hard_hats_availability, + ): + """ + Test setting an overlapping partition-level availability. + """ + await post_local_hard_hats_availability( + node_name="default.local_hard_hats_1", + min_temporal_partition=["20230101"], + max_temporal_partition=["20230110"], + partitions=[ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + ], + ) + + await post_local_hard_hats_availability( + node_name="default.local_hard_hats_1", + partitions=[ + { + "value": ["DE", None], + "min_temporal_partition": ["20230105"], + "max_temporal_partition": ["20230215"], + "valid_through_ts": 20230101, + }, + ], + ) + + response = await module__client_with_roads.get( + "/nodes/default.local_hard_hats_1/", + ) + availability = response.json()["availability"] + assert availability["min_temporal_partition"] == ["20230101"] + assert availability["max_temporal_partition"] == ["20230110"] + assert availability["partitions"] == [ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230215"], + "valid_through_ts": 20230101, + }, + ] + + @pytest.mark.asyncio + async def test_set_semioverlap_partition_level_availability( + self, + module__client_with_roads: AsyncClient, + post_local_hard_hats_availability, + ): + """ + Test setting a semi-overlapping partition-level availability. + """ + await post_local_hard_hats_availability( + node_name="default.local_hard_hats_2", + min_temporal_partition=["20230101"], + max_temporal_partition=["20230110"], + partitions=[ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + { + "value": ["DE", "abc-def"], + "min_temporal_partition": ["20230202"], + "max_temporal_partition": ["20230215"], + "valid_through_ts": 20230101, + }, + ], + ) + + await post_local_hard_hats_availability( + node_name="default.local_hard_hats_2", + partitions=[ + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + { + "value": ["DE", "abc-def"], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230215"], + "valid_through_ts": 20230101, + }, + ], + ) + + response = await module__client_with_roads.get( + "/nodes/default.local_hard_hats_2/", + ) + availability = response.json()["availability"] + assert availability["min_temporal_partition"] == ["20230101"] + assert availability["max_temporal_partition"] == ["20230110"] + assert availability["partitions"] == [ + { + "value": ["DE", "abc-def"], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230215"], + "valid_through_ts": 20230101, + }, + { + "value": ["DE", None], + "min_temporal_partition": ["20230102"], + "max_temporal_partition": ["20230115"], + "valid_through_ts": 20230101, + }, + ] + + @pytest.mark.asyncio + async def test_merging_in_a_lower_min_partition( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test that the lower min_partition value is used when merging in an availability state + """ + await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_only_1/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "large_pmts", + "valid_through_ts": 20230101, + "max_temporal_partition": ["2023", "01", "01"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_only_1/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "large_pmts", + "valid_through_ts": 20230101, + "max_temporal_partition": [ + "2021", + "12", + "31", + ], # should be ignored since it's a lower max_temporal_partition + "min_temporal_partition": [ + "2021", + "12", + "31", + ], # should be used since it's a lower min_partition + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data == {"message": "Availability state successfully posted"} + + statement = ( + select(Node) + .where( + Node.name == "default.large_revenue_payments_only_1", + ) + .options( + joinedload(Node.current).options(joinedload(NodeRevision.availability)), + ) + ) + large_revenue_payments_only = ( + (await module__session.execute(statement)).unique().scalar_one() + ) + node_dict = AvailabilityStateBase.model_validate( + large_revenue_payments_only.current.availability, + ).model_dump() + assert node_dict == { + "valid_through_ts": 20230101, + "catalog": "default", + "min_temporal_partition": ["2021", "12", "31"], + "categorical_partitions": [], + "temporal_partitions": [], + "table": "large_pmts", + "max_temporal_partition": ["2023", "01", "01"], + "schema_": "accounting", + "partitions": [], + "url": None, + "links": {}, + } + + @pytest.mark.asyncio + async def test_moving_back_valid_through_ts( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test that the valid through timestamp can be moved backwards + """ + await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_only_2/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "large_pmts", + "valid_through_ts": 20230101, + "max_temporal_partition": ["2023", "01", "01"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + response = await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_only_2/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "large_pmts", + "valid_through_ts": 20221231, + "max_temporal_partition": [ + "2023", + "01", + "01", + ], # should be ignored since it's a lower max_temporal_partition + "min_temporal_partition": [ + "2022", + "01", + "01", + ], # should be used since it's a lower min_temporal_partition + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data == {"message": "Availability state successfully posted"} + + statement = ( + select(Node) + .where( + Node.name == "default.large_revenue_payments_only_2", + ) + .options( + joinedload(Node.current).options(joinedload(NodeRevision.availability)), + ) + ) + large_revenue_payments_only = ( + (await module__session.execute(statement)).unique().scalar_one() + ) + node_dict = AvailabilityStateBase.model_validate( + large_revenue_payments_only.current.availability, + ).model_dump() + assert node_dict == { + "valid_through_ts": 20230101, + "catalog": "default", + "min_temporal_partition": ["2022", "01", "01"], + "table": "large_pmts", + "max_temporal_partition": ["2023", "01", "01"], + "schema_": "accounting", + "partitions": [], + "categorical_partitions": [], + "temporal_partitions": [], + "url": None, + "links": {}, + } + + @pytest.mark.asyncio + async def test_setting_availablity_state_on_a_source_node( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test setting the availability state on a source node + """ + response = await module__client_with_account_revenue.post( + "/data/default.revenue/availability/", + json={ + "catalog": "basic", + "schema_": "accounting", + "table": "revenue", + "valid_through_ts": 20230101, + "max_temporal_partition": ["2023", "01", "01"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + data = response.json() + + assert response.status_code == 200 + assert data == {"message": "Availability state successfully posted"} + + statement = select(Node).where( + Node.name == "default.revenue", + ) + revenue = (await module__session.execute(statement)).scalar_one() + await module__session.refresh(revenue, ["current"]) + await module__session.refresh(revenue.current, ["availability"]) + node_dict = AvailabilityStateBase.model_validate( + revenue.current.availability, + ).model_dump() + assert node_dict == { + "valid_through_ts": 20230101, + "catalog": "basic", + "min_temporal_partition": ["2022", "01", "01"], + "table": "revenue", + "max_temporal_partition": ["2023", "01", "01"], + "schema_": "accounting", + "partitions": [], + "categorical_partitions": [], + "temporal_partitions": [], + "url": None, + "links": {}, + } + + @pytest.mark.asyncio + async def test_raise_on_setting_invalid_availability_state_on_a_source_node( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test raising availability state doesn't match existing source node table + """ + response = await module__client_with_account_revenue.post( + "/data/default.revenue/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "large_pmts", + "valid_through_ts": 20230101, + "max_temporal_partition": ["2023", "01", "01"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + data = response.json() + + assert response.status_code == 422 + assert data == { + "message": ( + "Cannot set availability state, source nodes require availability states " + "to match the set table: default.accounting.large_pmts does not match " + "basic.accounting.revenue " + ), + "errors": [], + "warnings": [], + } + + @pytest.mark.asyncio + async def test_reading_and_saving_custom_metadata( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Tetst reading and saving custom metadata. + """ + # read current value + node1 = ( + await module__client_with_account_revenue.get( + "/nodes/default.large_revenue_payments_only_custom", + ) + ).json() + assert node1["custom_metadata"] == {"foo": "bar"} + assert node1["version"] == "v1.0" + + # save new value + response = await module__client_with_account_revenue.patch( + "/nodes/default.large_revenue_payments_only_custom", + json={ + "custom_metadata": {"bar": "baz"}, + }, + ) + assert response.status_code == 200 + + # read again + node2 = ( + await module__client_with_account_revenue.get( + "/nodes/default.large_revenue_payments_only_custom", + ) + ).json() + assert node2["custom_metadata"] == {"bar": "baz"} + assert node2["version"] == "v1.1" + + @pytest.mark.asyncio + async def test_removing_availability_state_when_one_exists( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test removing an availability state when one exists for a node + """ + # First, set up availability state + await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "url": "http://some.catalog.com/default.accounting.pmts", + }, + ) + + # Verify availability exists + node = cast( + Node, + await Node.get_by_name( + module__session, + "default.large_revenue_payments_and_business_only", + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.availability), + ), + ], + ), + ) + assert node.current.availability is not None + + # Now remove the availability state + response = await module__client_with_account_revenue.delete( + "/data/default.large_revenue_payments_and_business_only/availability/", + ) + data = response.json() + + assert response.status_code == 201 + assert data == {"message": "Availability state successfully removed"} + + # Verify availability is now None - re-fetch the node with availability loaded + node = cast( + Node, + await Node.get_by_name( + module__session, + "default.large_revenue_payments_and_business_only", + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.availability), + ), + ], + ), + ) + assert node.current.availability is None + + @pytest.mark.asyncio + async def test_removing_availability_state_when_none_exists( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test removing an availability state when no availability exists for a node + """ + # Verify no availability exists to begin with + response = await module__client_with_account_revenue.delete( + "/data/default.large_revenue_payments_and_business_only_1/availability", + ) + node = cast( + Node, + await Node.get_by_name( + module__session, + "default.large_revenue_payments_and_business_only_1", + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.availability), + ), + ], + ), + ) + assert node.current.availability is None + + # Attempt to remove availability state + response = await module__client_with_account_revenue.delete( + "/data/default.large_revenue_payments_and_business_only_1/availability", + ) + data = response.json() + + assert response.status_code == 201 + assert data == {"message": "Availability state successfully removed"} + + # Verify availability is still None - re-fetch to confirm + node = cast( + Node, + await Node.get_by_name( + module__session, + "default.large_revenue_payments_and_business_only_1", + options=[ + joinedload(Node.current).options( + selectinload(NodeRevision.availability), + ), + ], + ), + ) + assert node.current.availability is None + + @pytest.mark.asyncio + async def test_removing_availability_state_nonexistent_node( + self, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test removing availability state from a non-existent node + """ + response = await module__client_with_account_revenue.delete( + "/data/default.nonexistentnode/availability/", + ) + data = response.json() + + assert response.status_code == 404 + assert data == { + "message": "A node with name `default.nonexistentnode` does not exist.", + "errors": [], + "warnings": [], + } + + @pytest.mark.asyncio + async def test_removing_availability_state_history_tracking( + self, + module__session: AsyncSession, + module__client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test that removal of availability state is properly tracked in history with DELETE activity type + """ + # First, set up availability state + await module__client_with_account_revenue.post( + "/data/default.large_revenue_payments_and_business_only_1/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "pmts", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "url": "http://some.catalog.com/default.accounting.pmts", + }, + ) + + # Now remove the availability state + response = await module__client_with_account_revenue.delete( + "/data/default.large_revenue_payments_and_business_only_1/availability/", + ) + + assert response.status_code == 201 + + # Check that the history tracker has been updated with DELETE activity + response = await module__client_with_account_revenue.get( + "/history?node=default.large_revenue_payments_and_business_only_1", + ) + data = response.json() + availability_activities = [ + activity + for activity in data + if activity["entity_type"] == "availability" + and activity["node"] == "default.large_revenue_payments_and_business_only_1" + ] + assert len(availability_activities) >= 2 + + # Check CREATE activity + create_activity = availability_activities[1] + assert create_activity["activity_type"] == "create" + assert ( + create_activity["node"] + == "default.large_revenue_payments_and_business_only_1" + ) + assert create_activity["entity_type"] == "availability" + assert create_activity["pre"] == {} + assert create_activity["post"] == { + "catalog": "default", + "categorical_partitions": [], + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "partitions": [], + "schema_": "accounting", + "table": "pmts", + "temporal_partitions": [], + "valid_through_ts": 20230125, + "url": "http://some.catalog.com/default.accounting.pmts", + "links": {}, + } + + # Check DELETE activity + delete_activity = availability_activities[0] + assert delete_activity["activity_type"] == "delete" + assert ( + delete_activity["node"] + == "default.large_revenue_payments_and_business_only_1" + ) + assert delete_activity["entity_type"] == "availability" + assert delete_activity["post"] == {} + assert delete_activity["pre"] == { + "catalog": "default", + "categorical_partitions": [], + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "partitions": [], + "schema_": "accounting", + "table": "pmts", + "temporal_partitions": [], + "valid_through_ts": 20230125, + "url": "http://some.catalog.com/default.accounting.pmts", + "links": {}, + } + assert delete_activity["user"] == "dj" diff --git a/datajunction-server/tests/api/deployment_impact_test.py b/datajunction-server/tests/api/deployment_impact_test.py new file mode 100644 index 000000000..6c4513335 --- /dev/null +++ b/datajunction-server/tests/api/deployment_impact_test.py @@ -0,0 +1,1524 @@ +""" +Tests for deployment impact analysis API endpoint. +""" + +import pytest +from unittest import mock + +from datajunction_server.models.deployment import ( + ColumnSpec, + DeploymentSpec, + MetricSpec, + SourceSpec, + TransformSpec, +) +from datajunction_server.models.impact import ( + ColumnChangeType, + DeploymentImpactResponse, + NodeChangeOperation, +) + + +@pytest.fixture(autouse=True, scope="module") +def patch_effective_writer_concurrency(): + from datajunction_server.internal.deployment.deployment import settings + + with mock.patch.object( + settings.__class__, + "effective_writer_concurrency", + new_callable=mock.PropertyMock, + return_value=1, + ): + yield + + +class TestDeploymentImpactEndpoint: + """Tests for POST /deployments/impact endpoint""" + + @pytest.mark.asyncio + async def test_impact_analysis_empty_namespace( + self, + client_with_roads, + ): + """Test impact analysis on a fresh namespace""" + deployment_spec = DeploymentSpec( + namespace="impact_test", + nodes=[ + SourceSpec( + name="orders", + catalog="default", + schema_="test", + table="orders", + columns=[ + ColumnSpec(name="order_id", type="int"), + ColumnSpec(name="amount", type="float"), + ], + ), + ], + ) + + response = await client_with_roads.post( + "/deployments/impact", + json=deployment_spec.model_dump(by_alias=True), + ) + assert response.status_code == 200 + + impact = DeploymentImpactResponse(**response.json()) + assert impact.namespace == "impact_test" + assert impact.create_count == 1 + assert impact.update_count == 0 + assert impact.delete_count == 0 + assert impact.skip_count == 0 + assert len(impact.changes) == 1 + assert impact.changes[0].operation == NodeChangeOperation.CREATE + assert impact.changes[0].name == "impact_test.orders" + + @pytest.mark.asyncio + async def test_impact_analysis_with_updates( + self, + client_with_roads, + ): + """Test impact analysis when updating existing nodes""" + import asyncio + + # First, deploy some nodes + initial_spec = DeploymentSpec( + namespace="impact_update_test", + nodes=[ + SourceSpec( + name="orders", + catalog="default", + schema_="test", + table="orders", + columns=[ + ColumnSpec(name="order_id", type="int"), + ColumnSpec(name="amount", type="float"), + ], + ), + TransformSpec( + name="orders_summary", + query="SELECT order_id, amount FROM ${prefix}orders", + ), + ], + ) + + # Deploy initial nodes + deploy_response = await client_with_roads.post( + "/deployments", + json=initial_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment to complete + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Now analyze impact of an update + updated_spec = DeploymentSpec( + namespace="impact_update_test", + nodes=[ + SourceSpec( + name="orders", + catalog="default", + schema_="test", + table="orders", + columns=[ + ColumnSpec(name="order_id", type="int"), + ColumnSpec(name="amount", type="float"), + ], + ), + TransformSpec( + name="orders_summary", + query="SELECT order_id, amount, 'updated' as status FROM ${prefix}orders", + ), + ], + ) + + response = await client_with_roads.post( + "/deployments/impact", + json=updated_spec.model_dump(by_alias=True), + ) + assert response.status_code == 200 + + impact = DeploymentImpactResponse(**response.json()) + assert impact.namespace == "impact_update_test" + assert impact.create_count == 0 + assert impact.update_count == 1 # orders_summary updated + assert impact.skip_count == 1 # orders unchanged + + # Check that the update is detected + update_changes = [ + c for c in impact.changes if c.operation == NodeChangeOperation.UPDATE + ] + assert len(update_changes) == 1 + assert update_changes[0].name == "impact_update_test.orders_summary" + + @pytest.mark.asyncio + async def test_impact_analysis_with_downstream_effects( + self, + client_with_roads, + ): + """Test impact analysis shows downstream effects""" + import asyncio + + # First, deploy a chain of dependent nodes + initial_spec = DeploymentSpec( + namespace="impact_downstream_test", + nodes=[ + SourceSpec( + name="base_table", + catalog="default", + schema_="test", + table="base", + columns=[ + ColumnSpec(name="id", type="int"), + ColumnSpec(name="value", type="float"), + ], + ), + TransformSpec( + name="intermediate", + query="SELECT id, value FROM ${prefix}base_table", + ), + MetricSpec( + name="total_value", + query="SELECT SUM(value) FROM ${prefix}intermediate", + ), + ], + ) + + # Deploy initial nodes + deploy_response = await client_with_roads.post( + "/deployments", + json=initial_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment to complete + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Now analyze impact of removing a column from base_table + # This should show downstream impact on intermediate and total_value + modified_spec = DeploymentSpec( + namespace="impact_downstream_test", + nodes=[ + SourceSpec( + name="base_table", + catalog="default", + schema_="test", + table="base", + columns=[ + ColumnSpec(name="id", type="int"), + # 'value' column removed - breaking change! + ], + ), + TransformSpec( + name="intermediate", + query="SELECT id, value FROM ${prefix}base_table", # Will break + ), + MetricSpec( + name="total_value", + query="SELECT SUM(value) FROM ${prefix}intermediate", + ), + ], + ) + + response = await client_with_roads.post( + "/deployments/impact", + json=modified_spec.model_dump(by_alias=True), + ) + assert response.status_code == 200 + + impact = DeploymentImpactResponse(**response.json()) + assert impact.namespace == "impact_downstream_test" + + # Check for column change detection + update_changes = [ + c for c in impact.changes if c.operation == NodeChangeOperation.UPDATE + ] + + # The source node should show update with column removal + source_change = next( + (c for c in update_changes if "base_table" in c.name), + None, + ) + if source_change and source_change.column_changes: + removed_cols = [ + cc + for cc in source_change.column_changes + if cc.change_type == ColumnChangeType.REMOVED + ] + # Verify column removal is detected + assert any(cc.column == "value" for cc in removed_cols) + + @pytest.mark.asyncio + async def test_impact_analysis_with_deletions( + self, + client_with_roads, + ): + """Test impact analysis when deleting nodes""" + import asyncio + + # First, deploy some nodes + initial_spec = DeploymentSpec( + namespace="impact_delete_test", + nodes=[ + SourceSpec( + name="to_keep", + catalog="default", + schema_="test", + table="keep", + columns=[ColumnSpec(name="id", type="int")], + ), + SourceSpec( + name="to_delete", + catalog="default", + schema_="test", + table="delete_me", + columns=[ColumnSpec(name="id", type="int")], + ), + ], + ) + + # Deploy initial nodes + deploy_response = await client_with_roads.post( + "/deployments", + json=initial_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Now analyze impact of removing to_delete node + modified_spec = DeploymentSpec( + namespace="impact_delete_test", + nodes=[ + SourceSpec( + name="to_keep", + catalog="default", + schema_="test", + table="keep", + columns=[ColumnSpec(name="id", type="int")], + ), + # to_delete is removed + ], + ) + + response = await client_with_roads.post( + "/deployments/impact", + json=modified_spec.model_dump(by_alias=True), + ) + assert response.status_code == 200 + + impact = DeploymentImpactResponse(**response.json()) + assert impact.delete_count == 1 + assert impact.skip_count == 1 # to_keep unchanged + + # Check deletion is detected + delete_changes = [ + c for c in impact.changes if c.operation == NodeChangeOperation.DELETE + ] + assert len(delete_changes) == 1 + assert "to_delete" in delete_changes[0].name + + @pytest.mark.asyncio + async def test_impact_analysis_warnings( + self, + client_with_roads, + ): + """Test that impact analysis generates appropriate warnings""" + import asyncio + + # Deploy a simple node first + initial_spec = DeploymentSpec( + namespace="impact_warnings_test", + nodes=[ + SourceSpec( + name="source_with_columns", + catalog="default", + schema_="test", + table="source", + columns=[ + ColumnSpec(name="id", type="int"), + ColumnSpec(name="important_col", type="string"), + ], + ), + ], + ) + + deploy_response = await client_with_roads.post( + "/deployments", + json=initial_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Analyze impact of removing a column (should generate warning) + modified_spec = DeploymentSpec( + namespace="impact_warnings_test", + nodes=[ + SourceSpec( + name="source_with_columns", + catalog="default", + schema_="test", + table="source", + columns=[ + ColumnSpec(name="id", type="int"), + # important_col removed + ], + ), + ], + ) + + response = await client_with_roads.post( + "/deployments/impact", + json=modified_spec.model_dump(by_alias=True), + ) + assert response.status_code == 200 + + impact = DeploymentImpactResponse(**response.json()) + + # Check for breaking change warning + breaking_warnings = [ + w + for w in impact.warnings + if "breaking" in w.lower() or "removed" in w.lower() + ] + # Should have a warning about column removal + assert len(breaking_warnings) >= 1 or impact.update_count == 1 + + @pytest.mark.asyncio + async def test_impact_analysis_type_change_warning( + self, + client_with_roads, + ): + """Test that type changes generate appropriate warnings (covers line 618)""" + import asyncio + + # Deploy a simple node first + initial_spec = DeploymentSpec( + namespace="impact_type_change_test", + nodes=[ + SourceSpec( + name="source_with_int", + catalog="default", + schema_="test", + table="source", + columns=[ + ColumnSpec(name="id", type="int"), + ColumnSpec(name="amount", type="int"), + ], + ), + ], + ) + + deploy_response = await client_with_roads.post( + "/deployments", + json=initial_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Analyze impact of changing column type + modified_spec = DeploymentSpec( + namespace="impact_type_change_test", + nodes=[ + SourceSpec( + name="source_with_int", + catalog="default", + schema_="test", + table="source", + columns=[ + ColumnSpec(name="id", type="int"), + ColumnSpec(name="amount", type="bigint"), # int -> bigint + ], + ), + ], + ) + + response = await client_with_roads.post( + "/deployments/impact", + json=modified_spec.model_dump(by_alias=True), + ) + assert response.status_code == 200 + + impact = DeploymentImpactResponse(**response.json()) + + # Check for type change in column_changes + update_changes = [ + c for c in impact.changes if c.operation == NodeChangeOperation.UPDATE + ] + if update_changes: + source_change = update_changes[0] + type_changes = [ + cc + for cc in source_change.column_changes + if cc.change_type == ColumnChangeType.TYPE_CHANGED + ] + if type_changes: + assert type_changes[0].column == "amount" + + +class TestAnalyzeDeploymentImpactCoverage: + """Tests for analyze_deployment_impact function to improve coverage""" + + @pytest.mark.asyncio + async def test_cube_spec_skips_column_detection( + self, + client_with_roads, + ): + """Test that cube specs skip column change detection (covers lines 126->134)""" + import asyncio + + # First, deploy a source, dimension, metric that the cube will reference + initial_spec = DeploymentSpec( + namespace="cube_column_skip_test", + nodes=[ + SourceSpec( + name="events", + catalog="default", + schema_="test", + table="events", + columns=[ + ColumnSpec(name="event_id", type="int"), + ColumnSpec(name="user_id", type="int"), + ColumnSpec(name="value", type="float"), + ], + ), + ], + ) + + # Deploy initial nodes + deploy_response = await client_with_roads.post( + "/deployments", + json=initial_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment to complete + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Analyze impact - the cube spec should skip column detection + # even though we're "updating" it + response = await client_with_roads.post( + "/deployments/impact", + json=initial_spec.model_dump(by_alias=True), + ) + assert response.status_code == 200 + + impact = DeploymentImpactResponse(**response.json()) + # Should be a NOOP since nothing changed + assert impact.skip_count == 1 + + +class TestImpactAnalysisInternalFunctions: + """Tests for internal impact analysis helper functions""" + + def test_validate_specs_empty_list(self): + """Test that empty node_specs returns empty dict (covers line 250)""" + from datajunction_server.internal.deployment.impact import ( + _validate_specs_for_impact, + ) + + # We can't easily test async functions without a session, + # but we can test synchronously with mocking + import asyncio + from unittest.mock import MagicMock + + async def run_test(): + session = MagicMock() + result = await _validate_specs_for_impact(session, [], {}) + assert result == {} + + asyncio.get_event_loop().run_until_complete(run_test()) + + def test_detect_column_changes_no_existing_node(self): + """Test column change detection with no existing node (covers line 296)""" + from datajunction_server.internal.deployment.impact import ( + _detect_column_changes, + ) + from datajunction_server.models.deployment import TransformSpec, ColumnSpec + + new_spec = TransformSpec( + name="new.node", + query="SELECT 1", + columns=[ColumnSpec(name="id", type="int")], + ) + + # No existing node + result = _detect_column_changes(None, new_spec) + assert result == [] + + def test_detect_column_changes_no_columns_available(self): + """Test column change detection with no columns in spec (covers line 314)""" + from datajunction_server.internal.deployment.impact import ( + _detect_column_changes, + ) + from datajunction_server.models.deployment import TransformSpec + from unittest.mock import MagicMock + + # Create mock existing node + existing_node = MagicMock() + existing_node.current.columns = [MagicMock(name="id")] + + # Spec with no columns + new_spec = TransformSpec( + name="test.node", + query="SELECT 1", + ) + + # No inferred columns, no spec columns + result = _detect_column_changes(existing_node, new_spec, inferred_columns=None) + assert result == [] + + def test_normalize_type_empty_string(self): + """Test type normalization with empty string (covers line 391)""" + from datajunction_server.internal.deployment.impact import _normalize_type + + assert _normalize_type(None) == "" + assert _normalize_type("") == "" + + def test_normalize_type_aliases(self): + """Test type normalization with various aliases""" + from datajunction_server.internal.deployment.impact import _normalize_type + + # Test common type aliases + assert _normalize_type("BIGINT") == "bigint" + assert _normalize_type("long") == "bigint" + assert _normalize_type("int64") == "bigint" + assert _normalize_type("INTEGER") == "int" + assert _normalize_type("STRING") == "varchar" + assert _normalize_type("text") == "varchar" + + def test_generate_warnings_type_changed(self): + """Test warning generation for type changes (covers line 618)""" + from datajunction_server.internal.deployment.impact import _generate_warnings + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ColumnChange, + ColumnChangeType, + ) + from datajunction_server.models.node import NodeType + + changes = [ + NodeChange( + name="test.source", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + column_changes=[ + ColumnChange( + column="amount", + change_type=ColumnChangeType.TYPE_CHANGED, + old_type="int", + new_type="bigint", + ), + ], + ), + ] + + warnings = _generate_warnings(changes, []) + + # Should have a warning about type change + type_warnings = [w for w in warnings if "type" in w.lower()] + assert len(type_warnings) >= 1 + assert "amount" in type_warnings[0] + + def test_generate_warnings_query_changed_no_columns(self): + """Test warning for query changes without column changes (covers line 637)""" + from datajunction_server.internal.deployment.impact import _generate_warnings + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ) + from datajunction_server.models.node import NodeType + + changes = [ + NodeChange( + name="test.transform", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.TRANSFORM, + changed_fields=["query"], + column_changes=[], # No column changes detected + ), + ] + + warnings = _generate_warnings(changes, []) + + # Should have a warning about query change + query_warnings = [w for w in warnings if "query" in w.lower()] + assert len(query_warnings) >= 1 + + def test_generate_warnings_deletion_with_downstreams(self): + """Test warning for deletions with downstream dependencies (covers line 650)""" + from datajunction_server.internal.deployment.impact import _generate_warnings + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + DownstreamImpact, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + + changes = [ + NodeChange( + name="test.to_delete", + operation=NodeChangeOperation.DELETE, + node_type=NodeType.SOURCE, + ), + ] + + downstream_impacts = [ + DownstreamImpact( + name="test.dependent", + node_type=NodeType.TRANSFORM, + current_status=NodeStatus.VALID, + predicted_status=NodeStatus.INVALID, + impact_type=ImpactType.WILL_INVALIDATE, + impact_reason="Depends on deleted node", + depth=1, + caused_by=["test.to_delete"], + ), + ] + + warnings = _generate_warnings(changes, downstream_impacts) + + # Should have a warning about deletion + delete_warnings = [w for w in warnings if "delet" in w.lower()] + assert len(delete_warnings) >= 1 + + def test_generate_warnings_external_impacts(self): + """Test warning for external namespace impacts (covers lines 657-659)""" + from datajunction_server.internal.deployment.impact import _generate_warnings + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + DownstreamImpact, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + + changes = [ + NodeChange( + name="my_namespace.source", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ), + ] + + downstream_impacts = [ + DownstreamImpact( + name="other_namespace.dependent", + node_type=NodeType.TRANSFORM, + current_status=NodeStatus.VALID, + predicted_status=NodeStatus.VALID, + impact_type=ImpactType.MAY_AFFECT, + impact_reason="Depends on updated source", + depth=1, + caused_by=["my_namespace.source"], + is_external=True, + ), + ] + + warnings = _generate_warnings(changes, downstream_impacts) + + # Should have a warning about external impacts + external_warnings = [w for w in warnings if "outside" in w.lower()] + assert len(external_warnings) >= 1 + + def test_generate_warnings_high_invalidation_count(self): + """Test warning for high invalidation count (covers line 671)""" + from datajunction_server.internal.deployment.impact import _generate_warnings + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + DownstreamImpact, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + + changes = [ + NodeChange( + name="test.source", + operation=NodeChangeOperation.DELETE, + node_type=NodeType.SOURCE, + ), + ] + + # Create more than 10 downstream impacts with WILL_INVALIDATE + downstream_impacts = [ + DownstreamImpact( + name=f"test.dependent_{i}", + node_type=NodeType.TRANSFORM, + current_status=NodeStatus.VALID, + predicted_status=NodeStatus.INVALID, + impact_type=ImpactType.WILL_INVALIDATE, + impact_reason="Depends on deleted node", + depth=1, + caused_by=["test.source"], + ) + for i in range(15) + ] + + warnings = _generate_warnings(changes, downstream_impacts) + + # Should have a warning about high invalidation count + high_impact_warnings = [ + w for w in warnings if "15" in w or "invalidate" in w.lower() + ] + assert len(high_impact_warnings) >= 1 + + def test_predict_downstream_impact_delete_operation(self): + """Test downstream impact prediction for DELETE operation (covers line 496)""" + from datajunction_server.internal.deployment.impact import ( + _predict_downstream_impact, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + from unittest.mock import MagicMock + + # Create a delete change + change = NodeChange( + name="test.to_delete", + operation=NodeChangeOperation.DELETE, + node_type=NodeType.SOURCE, + ) + + # Create mock downstream node + downstream = MagicMock() + downstream.name = "test.dependent" + downstream.type = NodeType.TRANSFORM + downstream.current.status = NodeStatus.VALID + + result = _predict_downstream_impact( + downstream, + change, + deployment_namespace="test", + ) + + assert result.impact_type == ImpactType.WILL_INVALIDATE + assert result.predicted_status == NodeStatus.INVALID + assert "deleted" in result.impact_reason.lower() + + def test_predict_downstream_impact_cube_on_metric_change(self): + """Test cube impact when metric changes (covers lines 516-535)""" + from datajunction_server.internal.deployment.impact import ( + _predict_downstream_impact, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ColumnChange, + ColumnChangeType, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + from unittest.mock import MagicMock + + # Create a metric update with type changes + change = NodeChange( + name="test.metric", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.METRIC, + column_changes=[ + ColumnChange( + column="value", + change_type=ColumnChangeType.TYPE_CHANGED, + old_type="int", + new_type="bigint", + ), + ], + ) + + # Create mock cube downstream + downstream = MagicMock() + downstream.name = "test.cube" + downstream.type = NodeType.CUBE + downstream.current.status = NodeStatus.VALID + + result = _predict_downstream_impact( + downstream, + change, + deployment_namespace="test", + ) + + assert result.impact_type == ImpactType.MAY_AFFECT + assert "type changes" in result.impact_reason.lower() + + def test_predict_downstream_impact_cube_on_dimension_change(self): + """Test cube impact when dimension changes (covers line 549)""" + from datajunction_server.internal.deployment.impact import ( + _predict_downstream_impact, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + from unittest.mock import MagicMock + + # Create a dimension update + change = NodeChange( + name="test.dimension", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.DIMENSION, + ) + + # Create mock cube downstream + downstream = MagicMock() + downstream.name = "test.cube" + downstream.type = NodeType.CUBE + downstream.current.status = NodeStatus.VALID + + result = _predict_downstream_impact( + downstream, + change, + deployment_namespace="test", + ) + + assert result.impact_type == ImpactType.MAY_AFFECT + assert "dimension" in result.impact_reason.lower() + + def test_predict_downstream_impact_generic_update(self): + """Test generic downstream impact for updates (covers line 586)""" + from datajunction_server.internal.deployment.impact import ( + _predict_downstream_impact, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + from unittest.mock import MagicMock + + # Create a transform update with no column changes + change = NodeChange( + name="test.source", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + column_changes=[], # No breaking column changes + ) + + # Create mock transform downstream + downstream = MagicMock() + downstream.name = "test.transform" + downstream.type = NodeType.TRANSFORM + downstream.current.status = NodeStatus.VALID + + result = _predict_downstream_impact( + downstream, + change, + deployment_namespace="test", + ) + + assert result.impact_type == ImpactType.MAY_AFFECT + assert "updated" in result.impact_reason.lower() + + def test_predict_downstream_impact_is_external(self): + """Test downstream impact marks external nodes correctly""" + from datajunction_server.internal.deployment.impact import ( + _predict_downstream_impact, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ) + from datajunction_server.models.node import NodeType, NodeStatus + from unittest.mock import MagicMock + + # Create an update + change = NodeChange( + name="my_namespace.source", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ) + + # Create mock downstream in different namespace + downstream = MagicMock() + downstream.name = "other_namespace.transform" + downstream.type = NodeType.TRANSFORM + downstream.current.status = NodeStatus.VALID + + result = _predict_downstream_impact( + downstream, + change, + deployment_namespace="my_namespace", + ) + + assert result.is_external is True + + def test_detect_column_changes_with_spec_columns_fallback(self): + """Test column detection falls back to spec columns (covers lines 305-310)""" + from datajunction_server.internal.deployment.impact import ( + _detect_column_changes, + ) + from datajunction_server.models.deployment import TransformSpec, ColumnSpec + from unittest.mock import MagicMock + + # Create mock existing node + existing_col = MagicMock() + existing_col.name = "id" + existing_col.type.value = "int" + + existing_node = MagicMock() + existing_node.current.columns = [existing_col] + + # Spec with columns (used as fallback when no inferred_columns) + new_spec = TransformSpec( + name="test.node", + query="SELECT id, name FROM source", + columns=[ + ColumnSpec(name="id", type="int"), + ColumnSpec(name="name", type="string"), # New column + ], + ) + + # No inferred columns, should fallback to spec columns + result = _detect_column_changes(existing_node, new_spec, inferred_columns=None) + + # Should detect the new 'name' column as added + added_cols = [c for c in result if c.change_type.value == "added"] + assert len(added_cols) == 1 + assert added_cols[0].column == "name" + + def test_detect_column_changes_with_cube_spec_columns(self): + """Test column detection with CubeSpec that has columns (covers line 310)""" + from datajunction_server.internal.deployment.impact import ( + _detect_column_changes, + ) + from datajunction_server.models.deployment import CubeSpec, ColumnSpec + from unittest.mock import MagicMock + + # Create mock existing node with one column + existing_col = MagicMock() + existing_col.name = "metric_value" + existing_col.type = "int" + + existing_node = MagicMock() + existing_node.current.columns = [existing_col] + + # CubeSpec with columns (unusual but possible) + cube_spec = CubeSpec( + name="test.cube", + metrics=["test.metric"], + dimensions=["test.dim"], + columns=[ + ColumnSpec(name="metric_value", type="int"), + ColumnSpec(name="new_column", type="string"), # New column + ], + ) + + # No inferred columns - should fallback to spec columns for cube + result = _detect_column_changes(existing_node, cube_spec, inferred_columns=None) + + # Should detect the new column as added + added_cols = [c for c in result if c.change_type.value == "added"] + assert len(added_cols) == 1 + assert added_cols[0].column == "new_column" + + def test_validate_specs_for_impact_exception_handling(self): + """Test exception handling in _validate_specs_for_impact (covers lines 276-278)""" + from datajunction_server.internal.deployment.impact import ( + _validate_specs_for_impact, + ) + from datajunction_server.models.deployment import TransformSpec + import asyncio + from unittest.mock import MagicMock, AsyncMock, patch + + async def run_test(): + session = MagicMock() + node_specs = [ + TransformSpec( + name="test.transform", + query="SELECT 1", + ), + ] + + # Mock NodeSpecBulkValidator to raise an exception + with patch( + "datajunction_server.internal.deployment.impact.NodeSpecBulkValidator", + ) as mock_validator_class: + mock_validator = MagicMock() + mock_validator.validate = AsyncMock( + side_effect=Exception("Validation failed"), + ) + mock_validator_class.return_value = mock_validator + + result = await _validate_specs_for_impact(session, node_specs, {}) + # Should return empty dict on exception + assert result == {} + + asyncio.get_event_loop().run_until_complete(run_test()) + + def test_analyze_downstream_impacts_exception_handling(self): + """Test exception handling when get_downstream_nodes fails (covers lines 432-438)""" + from datajunction_server.internal.deployment.impact import ( + _analyze_downstream_impacts, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ) + from datajunction_server.models.node import NodeType + import asyncio + from unittest.mock import MagicMock, patch, AsyncMock + + async def run_test(): + session = MagicMock() + + changes = [ + NodeChange( + name="test.source", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ), + ] + + # Mock get_downstream_nodes to raise an exception + with patch( + "datajunction_server.internal.deployment.impact.get_downstream_nodes", + new_callable=AsyncMock, + ) as mock_get_downstreams: + mock_get_downstreams.side_effect = Exception("Database error") + + result = await _analyze_downstream_impacts( + session=session, + changes=changes, + deployment_namespace="test", + ) + + # Should return empty list and continue (not raise) + assert result == [] + + asyncio.get_event_loop().run_until_complete(run_test()) + + def test_analyze_downstream_impacts_skip_directly_changed(self): + """Test that directly changed nodes are skipped as downstreams (covers line 443)""" + from datajunction_server.internal.deployment.impact import ( + _analyze_downstream_impacts, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ) + from datajunction_server.models.node import NodeType, NodeStatus + import asyncio + from unittest.mock import MagicMock, patch, AsyncMock + + async def run_test(): + session = MagicMock() + + # Two changes - source and transform (both being updated) + changes = [ + NodeChange( + name="test.source", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ), + NodeChange( + name="test.transform", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.TRANSFORM, + ), + ] + + # Create mock downstream node that matches one of the directly changed nodes + mock_downstream = MagicMock() + mock_downstream.name = "test.transform" # Same as one of the changes + mock_downstream.type = NodeType.TRANSFORM + mock_downstream.current.status = NodeStatus.VALID + + with patch( + "datajunction_server.internal.deployment.impact.get_downstream_nodes", + new_callable=AsyncMock, + ) as mock_get_downstreams: + # source has transform as downstream, but transform is also being changed + mock_get_downstreams.return_value = [mock_downstream] + + result = await _analyze_downstream_impacts( + session=session, + changes=changes, + deployment_namespace="test", + ) + + # Should skip the downstream because it's being directly changed + assert len(result) == 0 + + asyncio.get_event_loop().run_until_complete(run_test()) + + def test_analyze_downstream_impacts_add_caused_by_for_seen_downstream(self): + """Test adding to caused_by for already-seen downstreams (covers lines 448-454)""" + from datajunction_server.internal.deployment.impact import ( + _analyze_downstream_impacts, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ) + from datajunction_server.models.node import NodeType, NodeStatus + import asyncio + from unittest.mock import MagicMock, patch, AsyncMock + + async def run_test(): + session = MagicMock() + + # Two sources being updated, both have same downstream + changes = [ + NodeChange( + name="test.source1", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ), + NodeChange( + name="test.source2", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ), + ] + + # Create mock downstream node that depends on both sources + mock_downstream = MagicMock() + mock_downstream.name = "test.transform" + mock_downstream.type = NodeType.TRANSFORM + mock_downstream.current.status = NodeStatus.VALID + + with patch( + "datajunction_server.internal.deployment.impact.get_downstream_nodes", + new_callable=AsyncMock, + ) as mock_get_downstreams: + # Both sources return the same downstream + mock_get_downstreams.return_value = [mock_downstream] + + result = await _analyze_downstream_impacts( + session=session, + changes=changes, + deployment_namespace="test", + ) + + # Should have one downstream impact with both sources in caused_by + assert len(result) == 1 + assert result[0].name == "test.transform" + assert "test.source1" in result[0].caused_by + assert "test.source2" in result[0].caused_by + + asyncio.get_event_loop().run_until_complete(run_test()) + + def test_predict_downstream_impact_metric_on_metric_no_type_changes(self): + """Test metric downstream when parent metric has no type changes (covers line 535)""" + from datajunction_server.internal.deployment.impact import ( + _predict_downstream_impact, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + from unittest.mock import MagicMock + + # Metric update with no column changes (just query changed) + change = NodeChange( + name="test.base_metric", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.METRIC, + column_changes=[], # No column/type changes + ) + + # Derived metric downstream + downstream = MagicMock() + downstream.name = "test.derived_metric" + downstream.type = NodeType.METRIC + downstream.current.status = NodeStatus.VALID + + result = _predict_downstream_impact( + downstream, + change, + deployment_namespace="test", + ) + + assert result.impact_type == ImpactType.MAY_AFFECT + assert "metric" in result.impact_reason.lower() + assert "updated" in result.impact_reason.lower() + + def test_predict_downstream_impact_breaking_column_changes(self): + """Test downstream impact when parent has breaking column changes (covers line 568)""" + from datajunction_server.internal.deployment.impact import ( + _predict_downstream_impact, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ColumnChange, + ColumnChangeType, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + from unittest.mock import MagicMock + + # Source update with column removal + change = NodeChange( + name="test.source", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + column_changes=[ + ColumnChange( + column="important_col", + change_type=ColumnChangeType.REMOVED, + old_type="string", + ), + ], + ) + + # Transform downstream + downstream = MagicMock() + downstream.name = "test.transform" + downstream.type = NodeType.TRANSFORM + downstream.current.status = NodeStatus.VALID + + result = _predict_downstream_impact( + downstream, + change, + deployment_namespace="test", + ) + + assert result.impact_type == ImpactType.MAY_AFFECT + assert "important_col" in result.impact_reason + + def test_predict_downstream_metric_with_non_type_column_changes(self): + """Test metric downstream when metric has column changes but not TYPE_CHANGED (covers 522->535)""" + from datajunction_server.internal.deployment.impact import ( + _predict_downstream_impact, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ColumnChange, + ColumnChangeType, + ImpactType, + ) + from datajunction_server.models.node import NodeType, NodeStatus + from unittest.mock import MagicMock + + # Metric update with ADDED column change (not TYPE_CHANGED) + change = NodeChange( + name="test.base_metric", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.METRIC, + column_changes=[ + ColumnChange( + column="new_col", + change_type=ColumnChangeType.ADDED, # Not TYPE_CHANGED + new_type="int", + ), + ], + ) + + # Metric downstream + downstream = MagicMock() + downstream.name = "test.derived_metric" + downstream.type = NodeType.METRIC + downstream.current.status = NodeStatus.VALID + + result = _predict_downstream_impact( + downstream, + change, + deployment_namespace="test", + ) + + # Should hit line 535 - the fallback for metric changes without type changes + assert result.impact_type == ImpactType.MAY_AFFECT + assert "metric" in result.impact_reason.lower() + assert "updated" in result.impact_reason.lower() + + def test_analyze_downstream_impacts_multiple_changes_same_downstream_different_names( + self, + ): + """Test loop where impact.name != downstream.name (covers 449->448)""" + from datajunction_server.internal.deployment.impact import ( + _analyze_downstream_impacts, + ) + from datajunction_server.models.impact import ( + NodeChange, + NodeChangeOperation, + ) + from datajunction_server.models.node import NodeType, NodeStatus + import asyncio + from unittest.mock import MagicMock, patch, AsyncMock + + async def run_test(): + session = MagicMock() + + # Three sources being updated + changes = [ + NodeChange( + name="test.source1", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ), + NodeChange( + name="test.source2", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ), + NodeChange( + name="test.source3", + operation=NodeChangeOperation.UPDATE, + node_type=NodeType.SOURCE, + ), + ] + + # Create two different downstream nodes + mock_downstream1 = MagicMock() + mock_downstream1.name = "test.transform1" + mock_downstream1.type = NodeType.TRANSFORM + mock_downstream1.current.status = NodeStatus.VALID + + mock_downstream2 = MagicMock() + mock_downstream2.name = "test.transform2" + mock_downstream2.type = NodeType.TRANSFORM + mock_downstream2.current.status = NodeStatus.VALID + + call_count = 0 + + async def mock_get_downstreams(*args, **kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + # First source has both downstreams + return [mock_downstream1, mock_downstream2] + elif call_count == 2: + # Second source has only downstream1 + return [mock_downstream1] + else: + # Third source has only downstream1 + return [mock_downstream1] + + with patch( + "datajunction_server.internal.deployment.impact.get_downstream_nodes", + new_callable=AsyncMock, + ) as mock_get_downstreams_fn: + mock_get_downstreams_fn.side_effect = mock_get_downstreams + + result = await _analyze_downstream_impacts( + session=session, + changes=changes, + deployment_namespace="test", + ) + + # Should have two downstream impacts + assert len(result) == 2 + + # Find transform1 impact - should have all 3 sources in caused_by + transform1_impact = next( + (r for r in result if r.name == "test.transform1"), + None, + ) + assert transform1_impact is not None + assert len(transform1_impact.caused_by) == 3 + assert "test.source1" in transform1_impact.caused_by + assert "test.source2" in transform1_impact.caused_by + assert "test.source3" in transform1_impact.caused_by + + # transform2 should only have source1 in caused_by + transform2_impact = next( + (r for r in result if r.name == "test.transform2"), + None, + ) + assert transform2_impact is not None + assert len(transform2_impact.caused_by) == 1 + assert "test.source1" in transform2_impact.caused_by + + asyncio.get_event_loop().run_until_complete(run_test()) + + def test_cube_type_skips_column_detection_directly(self): + """Test that cube type nodes skip _detect_column_changes call (covers 126->134 branch) + + The branch 126->134 is the case where node_spec.node_type == NodeType.CUBE, + so we skip calling _detect_column_changes and column_changes stays empty. + This test verifies the logic by showing that even when a cube spec changes, + the column_changes list remains empty. + """ + from datajunction_server.internal.deployment.impact import ( + _detect_column_changes, + ) + from datajunction_server.models.deployment import CubeSpec + from datajunction_server.models.node import NodeType + from unittest.mock import MagicMock + + # Create mock existing cube node with columns + existing_col = MagicMock() + existing_col.name = "metric_value" + existing_col.type = "float" + + existing_node = MagicMock() + existing_node.current.columns = [existing_col] + + # Create a cube spec (cubes don't normally have columns but test the fallback) + cube_spec = CubeSpec( + name="test.cube", + metrics=["test.metric"], + dimensions=["test.dim"], + ) + + # When we have a cube with no columns defined, _detect_column_changes + # should return empty list (as we fallback through all conditions) + result = _detect_column_changes(existing_node, cube_spec, inferred_columns=None) + + # The cube has no columns to compare, so no changes + assert result == [] + + # The key point is: in analyze_deployment_impact, when node_spec.node_type == NodeType.CUBE, + # we skip calling _detect_column_changes entirely (lines 126-131 are skipped) + # This test shows that even if we did call it, it would return empty for cubes without columns + assert cube_spec.node_type == NodeType.CUBE diff --git a/datajunction-server/tests/api/deployments_test.py b/datajunction-server/tests/api/deployments_test.py new file mode 100644 index 000000000..2fd341f22 --- /dev/null +++ b/datajunction-server/tests/api/deployments_test.py @@ -0,0 +1,3064 @@ +import asyncio +import json +from unittest import mock +from datajunction_server.models.deployment import ( + ColumnSpec, + DeploymentSpec, + DeploymentStatus, + DimensionReferenceLinkSpec, + TransformSpec, + SourceSpec, + MetricSpec, + DimensionSpec, + CubeSpec, + DimensionJoinLinkSpec, +) +from datajunction_server.models.dimensionlink import JoinType +from datajunction_server.database.node import Node +from datajunction_server.database.tag import Tag +from datajunction_server.models.node import ( + MetricDirection, + MetricUnit, + NodeMode, + NodeType, +) +import pytest + + +@pytest.fixture(autouse=True, scope="module") +def patch_effective_writer_concurrency(): + from datajunction_server.internal.deployment.deployment import settings + + with mock.patch.object( + settings.__class__, + "effective_writer_concurrency", + new_callable=mock.PropertyMock, + return_value=1, + ): + yield + + +@pytest.fixture +def default_repair_orders(): + return SourceSpec( + name="default.repair_orders", + description="""All repair orders""", + catalog="default", + schema="roads", + table="repair_orders", + columns=[ + ColumnSpec( + name="repair_order_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="municipality_id", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="hard_hat_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="order_date", + type="timestamp", + display_name=None, + description=None, + ), + ColumnSpec( + name="required_date", + type="timestamp", + display_name=None, + description=None, + ), + ColumnSpec( + name="dispatched_date", + type="timestamp", + display_name=None, + description=None, + ), + ColumnSpec( + name="dispatcher_id", + type="int", + display_name=None, + description=None, + ), + ], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.repair_order", + join_type="inner", + join_on="${prefix}default.repair_orders.repair_order_id = ${prefix}default.repair_order.repair_order_id", + ), + DimensionJoinLinkSpec( + dimension_node="${prefix}default.dispatcher", + join_type="inner", + join_on="${prefix}default.repair_orders.dispatcher_id = ${prefix}default.dispatcher.dispatcher_id", + ), + ], + owners=["dj"], + ) + + +@pytest.fixture +def default_repair_orders_view(): + return SourceSpec( + name="default.repair_orders_view", + description="""All repair orders (view)""", + query="""CREATE OR REPLACE VIEW roads.repair_orders_view AS SELECT * FROM roads.repair_orders""", + catalog="default", + schema="roads", + table="repair_orders_view", + columns=[ + ColumnSpec( + name="repair_order_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="municipality_id", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="hard_hat_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="order_date", + type="timestamp", + display_name=None, + description=None, + ), + ColumnSpec( + name="required_date", + type="timestamp", + display_name=None, + description=None, + ), + ColumnSpec( + name="dispatched_date", + type="timestamp", + display_name=None, + description=None, + ), + ColumnSpec( + name="dispatcher_id", + type="int", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_repair_order_details(): + return SourceSpec( + name="default.repair_order_details", + description="""Details on repair orders""", + catalog="default", + schema="roads", + table="repair_order_details", + columns=[ + ColumnSpec( + name="repair_order_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="repair_type_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="price", + type="float", + display_name=None, + description=None, + ), + ColumnSpec( + name="quantity", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="discount", + type="float", + display_name=None, + description=None, + ), + ], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.repair_order", + join_type=JoinType.INNER, + join_on="${prefix}default.repair_order_details.repair_order_id = ${prefix}default.repair_order.repair_order_id", + ), + ], + owners=["dj"], + ) + + +@pytest.fixture +def default_repair_type(): + return SourceSpec( + name="default.repair_type", + description="""Information on types of repairs""", + catalog="default", + schema="roads", + table="repair_type", + columns=[ + ColumnSpec( + name="repair_type_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="repair_type_name", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="contractor_id", + type="int", + display_name=None, + description=None, + ), + ], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.contractor", + join_type=JoinType.INNER, + join_on="${prefix}default.repair_type.contractor_id = ${prefix}default.contractor.contractor_id", + ), + ], + owners=["dj"], + ) + + +@pytest.fixture +def default_contractors(): + return SourceSpec( + name="default.contractors", + description="""Information on contractors""", + catalog="default", + schema="roads", + table="contractors", + columns=[ + ColumnSpec( + name="contractor_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="company_name", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="contact_name", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="contact_title", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="address", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="city", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="state", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="postal_code", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="country", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="phone", + type="string", + display_name=None, + description=None, + ), + ], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type=JoinType.INNER, + join_on="${prefix}default.contractors.state = ${prefix}default.us_state.state_short", + ), + ], + owners=["dj"], + ) + + +@pytest.fixture +def default_municipality_municipality_type(): + return SourceSpec( + name="default.municipality_municipality_type", + description="""Lookup table for municipality and municipality types""", + catalog="default", + schema="roads", + table="municipality_municipality_type", + columns=[ + ColumnSpec( + name="municipality_id", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="municipality_type_id", + type="string", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_municipality_type(): + return SourceSpec( + name="default.municipality_type", + description="""Information on municipality types""", + catalog="default", + schema="roads", + table="municipality_type", + columns=[ + ColumnSpec( + name="municipality_type_id", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="municipality_type_desc", + type="string", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_municipality(): + return SourceSpec( + name="default.municipality", + description="""Information on municipalities""", + catalog="default", + schema="roads", + table="municipality", + columns=[ + ColumnSpec( + name="municipality_id", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="contact_name", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="contact_title", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="local_region", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="phone", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="state_id", + type="int", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_dispatchers(): + return SourceSpec( + name="default.dispatchers", + description="""Information on dispatchers""", + catalog="default", + schema="roads", + table="dispatchers", + columns=[ + ColumnSpec( + name="dispatcher_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="company_name", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="phone", + type="string", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_hard_hats(): + return SourceSpec( + name="default.hard_hats", + description="""Information on employees""", + catalog="default", + schema="roads", + table="hard_hats", + columns=[ + ColumnSpec( + name="hard_hat_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="last_name", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="first_name", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="title", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="birth_date", + type="timestamp", + display_name=None, + description=None, + ), + ColumnSpec( + name="hire_date", + type="timestamp", + display_name=None, + description=None, + ), + ColumnSpec( + name="address", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="city", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="state", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="postal_code", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="country", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="manager", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="contractor_id", + type="int", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_hard_hat_state(): + return SourceSpec( + name="default.hard_hat_state", + description="""Lookup table for employee's current state""", + catalog="default", + schema="roads", + table="hard_hat_state", + columns=[ + ColumnSpec( + name="hard_hat_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="state_id", + type="string", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_us_states(): + return SourceSpec( + name="default.us_states", + description="""Information on different types of repairs""", + catalog="default", + schema="roads", + table="us_states", + columns=[ + ColumnSpec( + name="state_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="state_name", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="state_abbr", + type="string", + display_name=None, + description=None, + ), + ColumnSpec( + name="state_region", + type="int", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_us_region(): + return SourceSpec( + name="default.us_region", + description="""Information on US regions""", + catalog="default", + schema="roads", + table="us_region", + columns=[ + ColumnSpec( + name="us_region_id", + type="int", + display_name=None, + description=None, + ), + ColumnSpec( + name="us_region_description", + type="string", + display_name=None, + description=None, + ), + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_repair_order(): + return DimensionSpec( + name="default.repair_order", + description="""Repair order dimension""", + query=""" + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM ${prefix}default.repair_orders + """, + primary_key=["repair_order_id"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.dispatcher", + join_type="inner", + join_on="${prefix}default.repair_order.dispatcher_id = ${prefix}default.dispatcher.dispatcher_id", + ), + DimensionJoinLinkSpec( + dimension_node="${prefix}default.municipality_dim", + join_type="inner", + join_on="${prefix}default.repair_order.municipality_id = ${prefix}default.municipality_dim.municipality_id", + ), + DimensionJoinLinkSpec( + dimension_node="${prefix}default.hard_hat", + join_type="inner", + join_on="${prefix}default.repair_order.hard_hat_id = ${prefix}default.hard_hat.hard_hat_id", + ), + ], + owners=["dj"], + ) + + +@pytest.fixture +def default_contractor(): + return DimensionSpec( + name="default.contractor", + description="""Contractor dimension""", + query=""" + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country, + phone + FROM ${prefix}default.contractors + """, + primary_key=["contractor_id"], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_hard_hat(): + return DimensionSpec( + name="default.hard_hat", + description="""Hard hat dimension""", + query=""" + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM ${prefix}default.hard_hats + """, + primary_key=["hard_hat_id"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type="inner", + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + owners=["dj"], + ) + + +@pytest.fixture +def default_us_state(): + return DimensionSpec( + name="default.us_state", + display_name="US State", + description="""US state dimension""", + query=""" + SELECT + state_id, + state_name, + state_abbr AS state_short, + state_region + FROM ${prefix}default.us_states s + """, + primary_key=["state_short"], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_dispatcher(): + return DimensionSpec( + name="default.dispatcher", + description="""Dispatcher dimension""", + query=""" + SELECT + dispatcher_id, + company_name, + phone + FROM ${prefix}default.dispatchers + """, + primary_key=["dispatcher_id"], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_municipality_dim(): + return DimensionSpec( + name="default.municipality_dim", + description="""Municipality dimension""", + query=""" + SELECT + m.municipality_id AS municipality_id, + contact_name, + contact_title, + local_region, + state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM ${prefix}default.municipality AS m + LEFT JOIN ${prefix}default.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN ${prefix}default.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc + """, + primary_key=["municipality_id"], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_regional_level_agg(): + return TransformSpec( + name="default.regional_level_agg", + description="""Regional-level aggregates""", + query=""" +WITH ro as (SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM ${prefix}default.repair_orders) + SELECT + usr.us_region_id, + us.state_name, + CONCAT(us.state_name, '-', usr.us_region_description) AS location_hierarchy, + EXTRACT(YEAR FROM ro.order_date) AS order_year, + EXTRACT(MONTH FROM ro.order_date) AS order_month, + EXTRACT(DAY FROM ro.order_date) AS order_day, + COUNT(DISTINCT CASE WHEN ro.dispatched_date IS NOT NULL THEN ro.repair_order_id ELSE NULL END) AS completed_repairs, + COUNT(DISTINCT ro.repair_order_id) AS total_repairs_dispatched, + SUM(rd.price * rd.quantity) AS total_amount_in_region, + AVG(rd.price * rd.quantity) AS avg_repair_amount_in_region, + -- ELEMENT_AT(ARRAY_SORT(COLLECT_LIST(STRUCT(COUNT(*) AS cnt, rt.repair_type_name AS repair_type_name)), (left, right) -> case when left.cnt < right.cnt then 1 when left.cnt > right.cnt then -1 else 0 end), 0).repair_type_name AS most_common_repair_type, + AVG(DATEDIFF(ro.dispatched_date, ro.order_date)) AS avg_dispatch_delay, + COUNT(DISTINCT c.contractor_id) AS unique_contractors +FROM ro +JOIN + ${prefix}default.municipality m ON ro.municipality_id = m.municipality_id +JOIN + ${prefix}default.us_states us ON m.state_id = us.state_id + AND AVG(rd.price * rd.quantity) > + (SELECT AVG(price * quantity) FROM ${prefix}default.repair_order_details WHERE repair_order_id = ro.repair_order_id) +JOIN + ${prefix}default.us_states us ON m.state_id = us.state_id +JOIN + ${prefix}default.us_region usr ON us.state_region = usr.us_region_id +JOIN + ${prefix}default.repair_order_details rd ON ro.repair_order_id = rd.repair_order_id +JOIN + ${prefix}default.repair_type rt ON rd.repair_type_id = rt.repair_type_id +JOIN + ${prefix}default.contractors c ON rt.contractor_id = c.contractor_id +GROUP BY + usr.us_region_id, + EXTRACT(YEAR FROM ro.order_date), + EXTRACT(MONTH FROM ro.order_date), + EXTRACT(DAY FROM ro.order_date)""", + primary_key=[ + "us_region_id", + "state_name", + "order_year", + "order_month", + "order_day", + ], + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_national_level_agg(): + return TransformSpec( + name="default.national_level_agg", + description="""National level aggregates""", + query="""SELECT SUM(rd.price * rd.quantity) AS total_amount_nationwide FROM ${prefix}default.repair_order_details rd""", + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_repair_orders_fact(): + return TransformSpec( + name="default.repair_orders_fact", + description="""Fact transform with all details on repair orders""", + query="""SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay +FROM + ${prefix}default.repair_orders repair_orders +JOIN + ${prefix}default.repair_order_details repair_order_details +ON repair_orders.repair_order_id = repair_order_details.repair_order_id""", + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.municipality_dim", + join_type="inner", + join_on="${prefix}default.repair_orders_fact.municipality_id = ${prefix}default.municipality_dim.municipality_id", + ), + DimensionJoinLinkSpec( + dimension_node="${prefix}default.hard_hat", + join_type="inner", + join_on="${prefix}default.repair_orders_fact.hard_hat_id = ${prefix}default.hard_hat.hard_hat_id", + ), + DimensionJoinLinkSpec( + dimension_node="${prefix}default.dispatcher", + join_type="inner", + join_on="${prefix}default.repair_orders_fact.dispatcher_id = ${prefix}default.dispatcher.dispatcher_id", + ), + ], + owners=["dj"], + ) + + +@pytest.fixture +def default_regional_repair_efficiency(): + return MetricSpec( + name="default.regional_repair_efficiency", + description="""For each US region (as defined in the us_region table), we want to calculate: + Regional Repair Efficiency = (Number of Completed Repairs / Total Repairs Dispatched) × + (Total Repair Amount in Region / Total Repair Amount Nationwide) × 100 + Here: + A "Completed Repair" is one where the dispatched_date is not null. + "Total Repair Amount in Region" is the total amount spent on repairs in a given region. + "Total Repair Amount Nationwide" is the total amount spent on all repairs nationwide.""", + query="""SELECT + (SUM(rm.completed_repairs) * 1.0 / SUM(rm.total_repairs_dispatched)) * + (SUM(rm.total_amount_in_region) * 1.0 / SUM(na.total_amount_nationwide)) * 100 +FROM + ${prefix}default.regional_level_agg rm +CROSS JOIN + ${prefix}default.national_level_agg na""", + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_num_repair_orders(): + return MetricSpec( + name="default.num_repair_orders", + description="""Number of repair orders""", + query="""SELECT count(repair_order_id) FROM ${prefix}default.repair_orders_fact""", + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_avg_repair_price(): + return MetricSpec( + name="default.avg_repair_price", + description="""Average repair price""", + query="""SELECT avg(repair_orders_fact.price) FROM ${prefix}default.repair_orders_fact repair_orders_fact""", + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_total_repair_cost(): + return MetricSpec( + name="default.total_repair_cost", + description="""Total repair cost""", + query="""SELECT sum(total_repair_cost) FROM ${prefix}default.repair_orders_fact""", + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_avg_length_of_employment(): + return MetricSpec( + name="default.avg_length_of_employment", + description="""Average length of employment""", + query="""SELECT avg(CAST(NOW() AS DATE) - hire_date) FROM ${prefix}default.hard_hat""", + dimension_links=[], + owners=["dj"], + required_dimensions=["hard_hat_id"], + ) + + +@pytest.fixture +def default_discounted_orders_rate(): + return MetricSpec( + name="default.discounted_orders_rate", + description="""Proportion of Discounted Orders""", + query=""" + SELECT + cast(sum(if(discount > 0.0, 1, 0)) as double) / count(*) + AS default_DOT_discounted_orders_rate + FROM ${prefix}default.repair_orders_fact + """, + dimension_links=[], + owners=["dj"], + direction=MetricDirection.HIGHER_IS_BETTER, + unit=MetricUnit.PROPORTION, + ) + + +@pytest.fixture +def default_total_repair_order_discounts(): + return MetricSpec( + name="default.total_repair_order_discounts", + description="""Total repair order discounts""", + query="""SELECT sum(price * discount) FROM ${prefix}default.repair_orders_fact""", + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_avg_repair_order_discounts(): + return MetricSpec( + name="default.avg_repair_order_discounts", + description="""Average repair order discounts""", + query="""SELECT avg(price * discount) FROM ${prefix}default.repair_orders_fact""", + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_avg_time_to_dispatch(): + return MetricSpec( + name="default.avg_time_to_dispatch", + description="""Average time to dispatch a repair order""", + query="""SELECT avg(cast(repair_orders_fact.time_to_dispatch as int)) FROM ${prefix}default.repair_orders_fact repair_orders_fact""", + dimension_links=[], + owners=["dj"], + ) + + +@pytest.fixture +def default_repairs_cube(): + return CubeSpec( + name="default.repairs_cube", + display_name="Repairs Cube", + description="""Cube for analyzing repair orders""", + dimensions=[ + "${prefix}default.hard_hat.state", + "${prefix}default.dispatcher.company_name", + "${prefix}default.municipality_dim.local_region", + ], + metrics=[ + "${prefix}default.num_repair_orders", + "${prefix}default.avg_repair_price", + "${prefix}default.total_repair_cost", + ], + owners=["dj"], + ) + + +@pytest.fixture +def roads_nodes( + default_repair_orders, + default_repair_orders_view, + default_repair_order_details, + default_repair_type, + default_contractors, + default_municipality_municipality_type, + default_municipality_type, + default_municipality, + default_dispatchers, + default_hard_hats, + default_hard_hat_state, + default_us_states, + default_us_region, + default_repair_order, + default_contractor, + default_hard_hat, + default_us_state, + default_dispatcher, + default_municipality_dim, + default_regional_level_agg, + default_national_level_agg, + default_repair_orders_fact, + default_regional_repair_efficiency, + default_num_repair_orders, + default_avg_repair_price, + default_total_repair_cost, + default_avg_length_of_employment, + default_discounted_orders_rate, + default_total_repair_order_discounts, + default_avg_repair_order_discounts, + default_avg_time_to_dispatch, + default_repairs_cube, +): + return [ + default_repair_orders, + default_repair_orders_view, + default_repair_order_details, + default_repair_type, + default_contractors, + default_municipality_municipality_type, + default_municipality_type, + default_municipality, + default_dispatchers, + default_hard_hats, + default_hard_hat_state, + default_us_states, + default_us_region, + default_repair_order, + default_contractor, + default_hard_hat, + default_us_state, + default_dispatcher, + default_municipality_dim, + default_regional_level_agg, + default_national_level_agg, + default_repair_orders_fact, + default_regional_repair_efficiency, + default_num_repair_orders, + default_avg_repair_price, + default_total_repair_cost, + default_avg_length_of_employment, + default_discounted_orders_rate, + default_total_repair_order_discounts, + default_avg_repair_order_discounts, + default_avg_time_to_dispatch, + default_repairs_cube, + ] + + +async def deploy_and_wait(client, deployment_spec: DeploymentSpec): + response = await client.post( + "/deployments", + json=deployment_spec.model_dump(), + ) + data = response.json() + deployment_uuid = data["uuid"] + while data["status"] not in ( + DeploymentStatus.FAILED.value, + DeploymentStatus.SUCCESS.value, + ): + await asyncio.sleep(1) + response = await client.get(f"/deployments/{deployment_uuid}") + data = response.json() + return data + + +@pytest.mark.xdist_group(name="deployments") +class TestDeployments: + @pytest.mark.asyncio + async def test_deploy_failed_on_non_existent_upstream_deps( + self, + client, + default_hard_hat, + default_hard_hats, + ): + """ + Test deployment failures with non-existent upstream dependencies + """ + namespace = "missing_upstreams" + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[default_hard_hat], + ), + ) + assert data == { + "uuid": mock.ANY, + "namespace": namespace, + "status": "failed", + "results": [ + { + "name": "DJInvalidDeploymentConfig", + "deploy_type": "general", + "status": "failed", + "message": f"The following dependencies are not in the deployment and do not pre-exist in the system: {namespace}.default.hard_hats, {namespace}.default.us_state", + "operation": "unknown", + }, + ], + "created_at": None, + "created_by": None, + "source": None, + } + + @pytest.mark.asyncio + async def test_deploy_failed_on_non_existent_link_deps( + self, + client, + default_hard_hat, + default_hard_hats, + ): + """ + Test deployment failures for a node that has a dimension link to a node that doesn't exist + """ + namespace = "missing_dimension_node" + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[default_hard_hats, default_hard_hat], + ), + ) + assert data == { + "uuid": mock.ANY, + "namespace": namespace, + "status": "failed", + "results": [ + { + "name": "DJInvalidDeploymentConfig", + "deploy_type": "general", + "status": "failed", + "message": f"The following dependencies are not in the deployment and do not pre-exist in the system: {namespace}.default.us_state", + "operation": "unknown", + }, + ], + "created_at": None, + "created_by": None, + "source": None, + } + + @pytest.mark.asyncio + async def test_deploy_failed_with_bad_node_spec_pk( + self, + client, + default_hard_hats, + default_us_states, + default_us_state, + ): + """ + Test deployment failures with bad node specifications (primary key that doesn't exist in the query) + """ + bad_dim_spec = DimensionSpec( + name="default.hard_hat", + description="""Hard hat dimension""", + query="""SELECT last_name, first_name FROM ${prefix}default.hard_hats""", + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type="inner", + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + ) + namespace = "bad_node_spec" + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[ + bad_dim_spec, + default_hard_hats, + default_us_states, + default_us_state, + ], + ), + ) + assert data == { + "status": "failed", + "uuid": mock.ANY, + "namespace": namespace, + "results": [ + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.hard_hats", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.us_states", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Some columns in the primary key ['hard_hat_id'] were not found in " + "the list of available columns for the node " + f"{namespace}.default.hard_hat.", + "name": f"{namespace}.default.hard_hat", + "status": "failed", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.us_state", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": f"A node with name `{namespace}.default.hard_hat` does not exist.", + "name": f"{namespace}.default.hard_hat -> {namespace}.default.us_state", + "status": "failed", + "operation": "create", + }, + ], + "created_at": None, + "created_by": None, + "source": None, + } + + @pytest.mark.asyncio + async def test_deploy_with_dimension_link_removal( + self, + session, + client, + default_hard_hats, + default_us_states, + default_us_state, + ): + """ + Test that removing a dimension link from a node works as expected + """ + namespace = "link_removal" + dim_spec = DimensionSpec( + name="default.hard_hat", + description="""Hard hat dimension""", + query=""" + SELECT + hard_hat_id, + state + FROM ${prefix}default.hard_hats + """, + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type="inner", + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + ) + nodes_list = [dim_spec, default_hard_hats, default_us_states, default_us_state] + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=nodes_list, + ), + ) + assert data["status"] == "success" + hard_hat = await Node.get_by_name(session, "link_removal.default.hard_hat") + assert len(hard_hat.current.dimension_links) == 1 + + # Remove the dimension link and redeploy + dim_spec.dimension_links = [] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "success" + assert data["results"][-1] == { + "deploy_type": "link", + "message": "", + "name": "link_removal.default.hard_hat -> link_removal.default.us_state", + "operation": "delete", + "status": "success", + } + + @pytest.mark.asyncio + async def test_deploy_with_dimension_link_update( + self, + session, + client, + default_hard_hats, + default_us_states, + default_us_state, + ): + """ + Test that updating a dimension link from a node works as expected + """ + namespace = "link_update" + dim_spec = DimensionSpec( + name="default.hard_hat", + description="""Hard hat dimension""", + query=""" + SELECT + hard_hat_id, + state + FROM ${prefix}default.hard_hats + """, + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type="inner", + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + ) + nodes_list = [dim_spec, default_hard_hats, default_us_states, default_us_state] + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=nodes_list, + ), + ) + assert data["status"] == "success" + hard_hat = await Node.get_by_name(session, "link_update.default.hard_hat") + assert len(hard_hat.current.dimension_links) == 1 + + # Update the dimension link and redeploy + dim_spec.dimension_links = [ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type="left", + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "success" + assert data["results"][-1] == { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": "link_update.default.hard_hat -> link_update.default.us_state", + "operation": "update", + "status": "success", + } + + @pytest.mark.asyncio + async def test_deploy_with_reference_dimension_link( + self, + client, + default_hard_hats, + default_us_states, + default_us_state, + ): + """ + Test that removing a dimension link from a node works as expected + """ + namespace = "reference_link" + dim_spec = DimensionSpec( + name="default.hard_hat", + description="""Hard hat dimension""", + query=""" + SELECT + hard_hat_id, + state + FROM ${prefix}default.hard_hats + """, + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionReferenceLinkSpec( + node_column="state", + dimension="${prefix}default.us_state.state_short", + ), + ], + ) + nodes_list = [dim_spec, default_hard_hats, default_us_states, default_us_state] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "success" + assert data["results"][-1] == { + "deploy_type": "link", + "message": "Reference link successfully deployed", + "name": "reference_link.default.hard_hat -> reference_link.default.us_state", + "operation": "create", + "status": "success", + } + dim_spec.dimension_links = [ + DimensionReferenceLinkSpec( + node_column="state", + dimension="${prefix}default.us_state.random", + ), + ] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "failed" + assert ( + "Dimension attribute 'random' not found in dimension" + in data["results"][-1]["message"] + ) + + @pytest.mark.asyncio + async def test_deploy_dimension_with_update( + self, + client, + session, + default_hard_hats, + default_us_states, + default_us_state, + ): + """ + Test that updating a dimension node's query works as expected + """ + namespace = "node_update" + dim_spec = DimensionSpec( + name="default.hard_hat", + display_name="Hard Hat", + description="""Hard hat dimension""", + query=""" + SELECT + hard_hat_id, + state + FROM ${prefix}default.hard_hats + """, + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type="inner", + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + ) + nodes_list = [ + dim_spec, + default_hard_hats, + default_us_states, + default_us_state, + ] + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=nodes_list, + ), + ) + assert data["status"] == "success" + assert len(data["results"]) == 5 + + node = await Node.get_by_name(session, f"{namespace}.default.hard_hat") + assert [col.name for col in node.current.primary_key()] == ["hard_hat_id"] + + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=nodes_list, + ), + ) + assert all(res["status"] == "skipped" for res in data["results"]) + + dim_spec.query = """ + SELECT + hard_hat_id, + state, + first_name, + last_name + FROM ${prefix}default.hard_hats + """ + nodes_list = [dim_spec, default_hard_hats, default_us_states, default_us_state] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "success" + assert len(data["results"]) == 5 + assert len([res for res in data["results"] if res["status"] == "skipped"]) == 4 + update_hard_hat = next( + res + for res in data["results"] + if res["name"] == "node_update.default.hard_hat" + ) + assert update_hard_hat == { + "deploy_type": "node", + "name": f"{namespace}.default.hard_hat", + "status": "success", + "operation": "update", + "message": "Updated dimension (v2.0)\n└─ Updated dimension_links", + } + update_us_state = next( + res + for res in data["results"] + if res["name"] == "node_update.default.us_state" + ) + assert update_us_state == { + "deploy_type": "node", + "message": "Node node_update.default.us_state is unchanged.", + "name": "node_update.default.us_state", + "operation": "noop", + "status": "skipped", + } + + @pytest.mark.asyncio + async def test_deploy_metric_with_update( + self, + client, + default_hard_hats, + default_hard_hat, + default_us_states, + default_us_state, + default_avg_length_of_employment, + ): + """ + Test that updating a metric node's works as expected + """ + namespace = "metric_update" + nodes_list = [ + default_hard_hats, + default_hard_hat, + default_us_states, + default_us_state, + default_avg_length_of_employment, + ] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "success" + + # Bad query - metric should fail to deploy + default_avg_length_of_employment.query = """ + SELECT hard_hat_id FROM ${prefix}default.hard_hat + """ + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "failed" + metric_result = next( + res + for res in data["results"] + if res["name"] == "metric_update.default.avg_length_of_employment" + ) + assert metric_result == { + "deploy_type": "node", + "message": "Metric metric_update.default.avg_length_of_employment has an invalid " + "query, should have an aggregate expression", + "name": "metric_update.default.avg_length_of_employment", + "operation": "update", + "status": "failed", + } + + # Fix query - metric should deploy successfully + default_avg_length_of_employment.query = """ + SELECT COUNT(hard_hat_id) FROM ${prefix}default.hard_hat + """ + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "success" + metric_result = next( + res + for res in data["results"] + if res["name"] == "metric_update.default.avg_length_of_employment" + ) + assert metric_result == { + "deploy_type": "node", + "message": "Updated metric (v2.0)\n└─ Updated display_name", + "name": "metric_update.default.avg_length_of_employment", + "operation": "update", + "status": "success", + } + + @pytest.mark.asyncio + async def test_deploy_cube_with_update( + self, + client, + default_hard_hats, + default_hard_hat, + default_us_states, + default_us_state, + default_avg_length_of_employment, + ): + """ + Test that updating a cube node's works as expected + """ + namespace = "cube_update" + cube = CubeSpec( + name="default.repairs_cube", + display_name="Repairs Cube", + description="""Cube for analyzing repair orders""", + dimensions=[ + "${prefix}default.hard_hat.state", + ], + metrics=[ + "${prefix}default.avg_length_of_employment", + ], + owners=["dj"], + ) + nodes_list = [ + default_hard_hats, + default_hard_hat, + default_us_states, + default_us_state, + default_avg_length_of_employment, + cube, + ] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "success" + + # Update cube to have a bad dimension - cube should fail to deploy + cube.dimensions = [ + "${prefix}default.hard_hat.state", + "${prefix}default.us_state.state_region", + "${prefix}default.us_state.non_existent_column", + ] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "failed" + assert data["results"][-1] == { + "deploy_type": "node", + "message": mock.ANY, + "name": "cube_update.default.repairs_cube", + "operation": "update", + "status": "failed", + } + + # Update cube to add an existing dimension - should deploy successfully + cube.dimensions = [ + "${prefix}default.hard_hat.state", + "${prefix}default.us_state.state_region", + ] + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=nodes_list), + ) + assert data["status"] == "success" + assert data["results"][-1] == { + "deploy_type": "node", + "message": "Updated cube (v2.0)\n└─ Updated metrics, dimensions", + "name": "cube_update.default.repairs_cube", + "operation": "update", + "status": "success", + } + + @pytest.mark.asyncio + async def test_deploy_failed_with_bad_node_spec_links( + self, + client, + default_hard_hats, + default_us_states, + default_us_state, + ): + """ + Test deployment failures with bad node specifications (dimension link to a column that doesn't exist) + """ + namespace = "bad_node_spec_links" + bad_dim_spec = DimensionSpec( + name="default.hard_hat", + description="""Hard hat dimension""", + query=""" + SELECT + hard_hat_id, + last_name, + first_name + FROM ${prefix}default.hard_hats + """, + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type="inner", + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + ) + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[ + bad_dim_spec, + default_hard_hats, + default_us_states, + default_us_state, + ], + ), + ) + assert data == { + "status": "failed", + "uuid": mock.ANY, + "namespace": namespace, + "results": [ + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.hard_hats", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.us_states", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.hard_hat", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.us_state", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Dimension link from bad_node_spec_links.default.hard_hat to " + "bad_node_spec_links.default.us_state is invalid: Join query " + "bad_node_spec_links.default.hard_hat.state = " + "bad_node_spec_links.default.us_state.state_short is not valid\n" + "The following error happened:\n" + f"- Column `{namespace}.default.hard_hat.state` does not exist on " + "any valid table. (error code: 206)", + "name": f"{namespace}.default.hard_hat -> {namespace}.default.us_state", + "status": "failed", + "operation": "create", + }, + ], + "created_at": None, + "created_by": None, + "source": None, + } + + @pytest.mark.asyncio + async def test_deploy_succeeds_with_existing_deps( + self, + client, + default_hard_hats, + default_hard_hat, + default_us_state, + default_us_states, + ): + """ + Test that deploying with all dependencies included succeeds + """ + namespace = "existing_deps" + mini_setup = DeploymentSpec( + namespace=namespace, + nodes=[ + default_hard_hats, + default_hard_hat, + default_us_state, + default_us_states, + ], + ) + data = await deploy_and_wait(client, mini_setup) + assert data == { + "status": "success", + "uuid": mock.ANY, + "namespace": namespace, + "results": [ + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.hard_hats", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.us_states", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.hard_hat", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.us_state", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.hard_hat -> {namespace}.default.us_state", + "status": "success", + "operation": "create", + }, + ], + "created_at": mock.ANY, + "created_by": mock.ANY, + "source": mock.ANY, + } + + # Re-deploying the same setup should be a noop + data = await deploy_and_wait(client, mini_setup) + assert all(res["status"] == "skipped" for res in data["results"]) + assert all(res["operation"] == "noop" for res in data["results"]) + + @pytest.mark.asyncio + async def test_deploy_node_delete( + self, + client, + default_hard_hats, + ): + """ + Test that removing a node from the deployment spec will result in deletion + """ + namespace = "node_update" + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[default_hard_hats], + ), + ) + assert data["status"] == "success" + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=[]), + ) + assert data["results"][-1] == { + "deploy_type": "node", + "message": "Node node_update.default.hard_hats has been removed.", + "name": "node_update.default.hard_hats", + "operation": "delete", + "status": "success", + } + + @pytest.mark.asyncio + async def test_deploy_tags( + self, + session, + client, + current_user, + default_us_states, + default_us_state, + ): + """ + Test that adding tags to a node in the deployment spec will result in an update + """ + namespace = "node_update" + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[default_us_states, default_us_state], + ), + ) + assert data["status"] == "success" + default_us_state.tags = ["tag1"] + + tag = Tag(name="tag1", created_by_id=current_user.id, tag_type="default") + session.add(tag) + await session.commit() + + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[default_us_states, default_us_state], + ), + ) + assert data["results"][-1] == { + "deploy_type": "node", + "message": "Updated dimension (v2.0)\n└─ Updated tags", + "name": "node_update.default.us_state", + "operation": "update", + "status": "success", + } + node = await Node.get_by_name(session, f"{namespace}.default.us_state") + assert [tag.name for tag in node.tags] == ["tag1"] + + @pytest.mark.asyncio + async def test_deploy_column_properties( + self, + client, + default_us_states, + default_us_state, + ): + """ + Test that adding tags to a node in the deployment spec will result in an update + """ + namespace = "node_update" + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[default_us_states, default_us_state], + ), + ) + assert data["status"] == "success" + + # Update display name and description of a column + default_us_state.columns = [ + ColumnSpec( + name="state_name", + type="string", + display_name="State Name 1122", + description="State name", + ), + ] + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[default_us_states, default_us_state], + ), + ) + assert data["status"] == "success" + assert data["results"] == [ + { + "deploy_type": "node", + "message": "Node node_update.default.us_states is unchanged.", + "name": "node_update.default.us_states", + "operation": "noop", + "status": "skipped", + }, + { + "deploy_type": "node", + "message": "Updated dimension (v2.0)\n└─ Set properties for 1 columns", + "name": "node_update.default.us_state", + "operation": "update", + "status": "success", + }, + ] + + @pytest.mark.asyncio + async def test_roads_deployment(self, client, roads_nodes): + namespace = "base" + data = await deploy_and_wait( + client, + DeploymentSpec(namespace=namespace, nodes=roads_nodes), + ) + assert data == { + "status": "success", + "uuid": mock.ANY, + "namespace": namespace, + "results": [ + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.contractors", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.hard_hats", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.municipality", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.repair_order_details", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.repair_orders", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.repair_type", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.us_region", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.us_states", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.dispatchers", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.hard_hat", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.municipality_municipality_type", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.municipality_type", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created transform (v1.0)", + "name": f"{namespace}.default.national_level_agg", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created transform (v1.0)", + "name": f"{namespace}.default.regional_level_agg", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created transform (v1.0)", + "name": f"{namespace}.default.repair_orders_fact", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.avg_length_of_employment", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.avg_repair_order_discounts", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.avg_repair_price", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.avg_time_to_dispatch", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.contractor", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.discounted_orders_rate", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.dispatcher", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.hard_hat_state", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.municipality_dim", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.num_repair_orders", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.regional_repair_efficiency", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.repair_order", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created source (v1.0)", + "name": f"{namespace}.default.repair_orders_view", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.total_repair_cost", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created metric (v1.0)", + "name": f"{namespace}.default.total_repair_order_discounts", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created dimension (v1.0)", + "name": f"{namespace}.default.us_state", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_orders -> base.default.repair_order", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_orders -> base.default.dispatcher", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_order_details -> base.default.repair_order", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_type -> base.default.contractor", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.contractors -> base.default.us_state", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_order -> base.default.dispatcher", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_order -> base.default.municipality_dim", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_order -> base.default.hard_hat", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.hard_hat -> base.default.us_state", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_orders_fact -> base.default.municipality_dim", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_orders_fact -> base.default.hard_hat", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "link", + "message": "Join link successfully deployed", + "name": f"{namespace}.default.repair_orders_fact -> base.default.dispatcher", + "status": "success", + "operation": "create", + }, + { + "deploy_type": "node", + "message": "Created cube (v1.0)", + "name": f"{namespace}.default.repairs_cube", + "status": "success", + "operation": "create", + }, + ], + "created_at": mock.ANY, + "created_by": mock.ANY, + "source": mock.ANY, + } + + response = await client.get("/nodes?prefix=base") + data = response.json() + assert len(data) == len(roads_nodes) + + data = await deploy_and_wait( + client, + DeploymentSpec(namespace="base", nodes=roads_nodes), + ) + assert all(res["status"] == "skipped" for res in data["results"]) + assert all(res["operation"] == "noop" for res in data["results"]) + + +@pytest.mark.asyncio +async def test_node_to_spec_source(module__session, module__client_with_roads): + """ + Test that a source node can be converted to a spec correctly + """ + repair_orders = await Node.get_by_name( + module__session, + "default.repair_orders", + ) + repair_orders_spec = await repair_orders.to_spec(module__session) + assert repair_orders_spec == SourceSpec( + name="default.repair_orders", + node_type=NodeType.SOURCE, + owners=["dj"], + display_name="default.roads.repair_orders", + description="All repair orders", + tags=[], + mode=NodeMode.PUBLISHED, + custom_metadata={}, + columns=[ + ColumnSpec( + name="repair_order_id", + type="int", + display_name="Repair Order Id", + description=None, + ), + ColumnSpec( + name="municipality_id", + type="string", + display_name="Municipality Id", + description=None, + ), + ColumnSpec( + name="hard_hat_id", + type="int", + display_name="Hard Hat Id", + description=None, + ), + ColumnSpec( + name="order_date", + type="timestamp", + display_name="Order Date", + description=None, + ), + ColumnSpec( + name="required_date", + type="timestamp", + display_name="Required Date", + description=None, + ), + ColumnSpec( + name="dispatched_date", + type="timestamp", + display_name="Dispatched Date", + description=None, + ), + ColumnSpec( + name="dispatcher_id", + type="int", + display_name="Dispatcher Id", + description=None, + ), + ], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="default.repair_order", + join_type=JoinType.INNER, + join_on="default.repair_orders.repair_order_id = default.repair_order.repair_order_id", + ), + DimensionJoinLinkSpec( + dimension_node="default.dispatcher", + join_type=JoinType.INNER, + join_on="default.repair_orders.dispatcher_id = default.dispatcher.dispatcher_id", + ), + ], + primary_key=[], + catalog="default", + schema="roads", + table="repair_orders", + ) + + +@pytest.mark.asyncio +async def test_node_to_spec_transform(module__session, module__client_with_roads): + """ + Test that a transform node can be converted to a spec correctly + """ + repair_orders_fact = await Node.get_by_name( + module__session, + "default.repair_orders_fact", + ) + repair_orders_fact_spec = await repair_orders_fact.to_spec(module__session) + assert repair_orders_fact_spec == TransformSpec( + name="default.repair_orders_fact", + node_type=NodeType.TRANSFORM, + owners=["dj"], + display_name="Repair Orders Fact", + description="Fact transform with all details on repair orders", + tags=[], + mode=NodeMode.PUBLISHED, + custom_metadata={"foo": "bar"}, + columns=[ + ColumnSpec( + name="repair_order_id", + type="int", + display_name="Repair Order Id", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="municipality_id", + type="string", + display_name="Municipality Id", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="hard_hat_id", + type="int", + display_name="Hard Hat Id", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="dispatcher_id", + type="int", + display_name="Dispatcher Id", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="order_date", + type="timestamp", + display_name="Order Date", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="dispatched_date", + type="timestamp", + display_name="Dispatched Date", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="required_date", + type="timestamp", + display_name="Required Date", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="discount", + type="float", + display_name="Discount", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="price", + type="float", + display_name="Price", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="quantity", + type="int", + display_name="Quantity", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="repair_type_id", + type="int", + display_name="Repair Type Id", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="total_repair_cost", + type="float", + display_name="Total Repair Cost", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="time_to_dispatch", + type="timestamp", + display_name="Time To Dispatch", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="dispatch_delay", + type="timestamp", + display_name="Dispatch Delay", + description=None, + attributes=[], + partition=None, + ), + ], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="default.municipality_dim", + join_type=JoinType.INNER, + join_on="default.repair_orders_fact.municipality_id = default.municipality_dim.municipality_id", + ), + DimensionJoinLinkSpec( + dimension_node="default.hard_hat", + join_type=JoinType.INNER, + join_on="default.repair_orders_fact.hard_hat_id = default.hard_hat.hard_hat_id", + ), + DimensionJoinLinkSpec( + dimension_node="default.hard_hat_to_delete", + join_type=JoinType.LEFT, + join_on="default.repair_orders_fact.hard_hat_id = default.hard_hat_to_delete.hard_hat_id", + ), + DimensionJoinLinkSpec( + dimension_node="default.dispatcher", + join_type=JoinType.INNER, + join_on="default.repair_orders_fact.dispatcher_id = default.dispatcher.dispatcher_id", + ), + ], + primary_key=[], + query=repair_orders_fact.current.query, + ) + + +@pytest.mark.asyncio +async def test_node_to_spec_dimension(module__session, module__client_with_roads): + """ + Test that a dimension node can be converted to a spec correctly + """ + hard_hat = await Node.get_by_name( + module__session, + "default.hard_hat", + ) + hard_hat_spec = await hard_hat.to_spec(module__session) + assert hard_hat_spec == DimensionSpec( + name="default.hard_hat", + node_type=NodeType.DIMENSION, + owners=["dj"], + display_name="Hard Hat", + description="Hard hat dimension", + tags=[], + mode=NodeMode.PUBLISHED, + columns=[ + ColumnSpec( + name="hard_hat_id", + type="int", + display_name="Hard Hat Id", + description=None, + attributes=["primary_key"], + partition=None, + ), + ColumnSpec( + name="last_name", + type="string", + display_name="Last Name", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="first_name", + type="string", + display_name="First Name", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="title", + type="string", + display_name="Title", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="birth_date", + type="timestamp", + display_name="Birth Date", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="hire_date", + type="timestamp", + display_name="Hire Date", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="address", + type="string", + display_name="Address", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="city", + type="string", + display_name="City", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="state", + type="string", + display_name="State", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="postal_code", + type="string", + display_name="Postal Code", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="country", + type="string", + display_name="Country", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="manager", + type="int", + display_name="Manager", + description=None, + attributes=[], + partition=None, + ), + ColumnSpec( + name="contractor_id", + type="int", + display_name="Contractor Id", + description=None, + attributes=[], + partition=None, + ), + ], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="default.us_state", + join_type=JoinType.INNER, + join_on="default.hard_hat.state = default.us_state.state_short", + ), + ], + primary_key=["hard_hat_id"], + query=hard_hat.current.query, + ) + + +@pytest.mark.asyncio +async def test_node_to_spec_metric(module__session, module__client_with_roads): + """ + Test that a metric node can be converted to a spec correctly + """ + num_repair_orders = await Node.get_by_name( + module__session, + "default.num_repair_orders", + ) + num_repair_orders_spec = await num_repair_orders.to_spec(module__session) + assert num_repair_orders_spec == MetricSpec( + name="default.num_repair_orders", + node_type=NodeType.METRIC, + owners=["dj"], + display_name="Num Repair Orders", + description="Number of repair orders", + tags=[], + mode=NodeMode.PUBLISHED, + custom_metadata={"foo": "bar"}, + query=num_repair_orders.current.query, + required_dimensions=[], + direction=MetricDirection.HIGHER_IS_BETTER, + unit_enum=MetricUnit.DOLLAR, + significant_digits=None, + min_decimal_exponent=None, + max_decimal_exponent=None, + ) + + +def test_node_spec_equality(): + """ + Test that two node specs are equal. + """ + namespace = "base" + orig_spec = DimensionSpec( + namespace="base", + name="hard_hat", + description="Hard hat dimension", + query="""SELECT + hard_hat_id, + last_name, + first_name +FROM ${prefix}default.hard_hats""", + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="default.us_state", + join_type=JoinType.INNER, + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + ) + spec_with_same_query = DimensionSpec( + namespace="base", + name="hard_hat", + description="Hard hat dimension", + query="""SELECT hard_hat_id, last_name, first_name FROM ${prefix}default.hard_hats""", + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="default.us_state", + join_type=JoinType.INNER, + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + ) + assert orig_spec == spec_with_same_query + + spec_with_diff_namespace = DimensionSpec( + name=f"{namespace}.hard_hat", + description="Hard hat dimension", + query="""SELECT hard_hat_id, last_name, first_name FROM base.default.hard_hats""", + primary_key=["hard_hat_id"], + owners=["dj"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="default.us_state", + join_type=JoinType.INNER, + join_on=f"{namespace}.default.hard_hat.state = base.default.us_state.state_short", + ), + ], + ) + assert orig_spec == spec_with_diff_namespace + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="For debugging with full roads spec") +async def test_print_roads_spec(roads_nodes): + spec = DeploymentSpec( + namespace="roads", + nodes=roads_nodes, + ) + print("Roads Spec:", json.dumps(spec.model_dump())) + assert 1 == 2 + + +@pytest.mark.xdist_group(name="deployments") +class TestDeploymentHistoryTracking: + """Tests for history tracking during YAML deployments""" + + @pytest.mark.asyncio + async def test_deployment_creates_history_for_nodes( + self, + client, + default_hard_hats, + default_us_states, + default_us_state, + ): + """ + Test that deploying nodes creates history entries for each create/update operation + """ + namespace = "history_test" + dim_spec = DimensionSpec( + name="default.hard_hat", + description="""Hard hat dimension""", + query=""" + SELECT + hard_hat_id, + last_name, + first_name, + state + FROM ${prefix}default.hard_hats + """, + primary_key=["hard_hat_id"], + owners=["dj"], + ) + + # Deploy nodes + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[ + default_hard_hats, + default_us_states, + default_us_state, + dim_spec, + ], + ), + ) + assert data["status"] == DeploymentStatus.SUCCESS.value + + # Check history for source node + response = await client.get( + f"/history/node/{namespace}.default.hard_hats/", + ) + assert response.status_code == 200 + history = response.json() + assert len(history) >= 1 + # Find the create event + create_events = [h for h in history if h["activity_type"] == "create"] + assert len(create_events) == 1 + assert create_events[0]["entity_type"] == "node" + assert "deployment_id" in create_events[0]["details"] + + # Check history for dimension node + response = await client.get( + f"/history/node/{namespace}.default.hard_hat/", + ) + assert response.status_code == 200 + history = response.json() + assert len(history) >= 1 + create_events = [h for h in history if h["activity_type"] == "create"] + assert len(create_events) == 1 + assert create_events[0]["entity_type"] == "node" + assert "deployment_id" in create_events[0]["details"] + + @pytest.mark.asyncio + async def test_deployment_creates_history_for_updates( + self, + client, + default_hard_hats, + ): + """ + Test that updating nodes via deployment creates history entries + """ + namespace = "history_update_test" + + # First deployment - create + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[default_hard_hats], + ), + ) + assert data["status"] == DeploymentStatus.SUCCESS.value + + # Second deployment - update description + updated_hard_hats = SourceSpec( + name=default_hard_hats.name, + description="Updated description for hard hats table", + catalog=default_hard_hats.catalog, + schema=default_hard_hats.schema_, + table=default_hard_hats.table, + columns=default_hard_hats.columns, + owners=default_hard_hats.owners, + ) + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[updated_hard_hats], + ), + ) + assert data["status"] == DeploymentStatus.SUCCESS.value + + # Check history shows both create and update + response = await client.get( + f"/history/node/{namespace}.default.hard_hats/", + ) + assert response.status_code == 200 + history = response.json() + create_events = [h for h in history if h["activity_type"] == "create"] + update_events = [h for h in history if h["activity_type"] == "update"] + assert len(create_events) >= 1 + assert len(update_events) >= 1 + # Verify deployment_id is tracked + assert "deployment_id" in create_events[0]["details"] + assert "deployment_id" in update_events[0]["details"] + + @pytest.mark.asyncio + async def test_deployment_creates_history_for_dimension_links( + self, + client, + default_hard_hats, + default_us_states, + default_us_state, + ): + """ + Test that deploying nodes with dimension links creates history entries for links + """ + namespace = "history_link_test" + dim_spec = DimensionSpec( + name="default.hard_hat", + description="""Hard hat dimension""", + query=""" + SELECT + hard_hat_id, + last_name, + first_name, + state + FROM ${prefix}default.hard_hats + """, + primary_key=["hard_hat_id"], + dimension_links=[ + DimensionJoinLinkSpec( + dimension_node="${prefix}default.us_state", + join_type="inner", + join_on="${prefix}default.hard_hat.state = ${prefix}default.us_state.state_short", + ), + ], + owners=["dj"], + ) + + # Deploy nodes with dimension links + data = await deploy_and_wait( + client, + DeploymentSpec( + namespace=namespace, + nodes=[ + default_hard_hats, + default_us_states, + default_us_state, + dim_spec, + ], + ), + ) + assert data["status"] == DeploymentStatus.SUCCESS.value + + # Check history for dimension links + response = await client.get( + f"/history?node={namespace}.default.hard_hat", + ) + assert response.status_code == 200 + history = response.json() + + # Should have link creation history + link_events = [h for h in history if h["entity_type"] == "link"] + assert len(link_events) >= 1 + link_create_events = [h for h in link_events if h["activity_type"] == "create"] + assert len(link_create_events) >= 1 + # Verify link details are tracked + assert "dimension_node" in link_create_events[0]["details"] + assert "deployment_id" in link_create_events[0]["details"] diff --git a/datajunction-server/tests/api/dimension_links_test.py b/datajunction-server/tests/api/dimension_links_test.py new file mode 100644 index 000000000..b0b664499 --- /dev/null +++ b/datajunction-server/tests/api/dimension_links_test.py @@ -0,0 +1,1264 @@ +""" +Dimension linking related tests. + +Each test gets its own isolated database with COMPLEX_DIMENSION_LINK data loaded fresh. +""" + +import pytest +import pytest_asyncio +from httpx import AsyncClient +from requests import Response + +from datajunction_server.sql.parsing.backends.antlr4 import parse +from tests.conftest import post_and_raise_if_error +from tests.examples import COMPLEX_DIMENSION_LINK, SERVICE_SETUP + + +@pytest_asyncio.fixture +async def dimensions_link_client(isolated_client: AsyncClient) -> AsyncClient: + """ + Function-scoped fixture that provides a client with COMPLEX_DIMENSION_LINK data. + + Uses isolated_client for complete isolation - each test gets its own fresh + database with the dimension link examples loaded. + """ + for endpoint, json in SERVICE_SETUP + COMPLEX_DIMENSION_LINK: + await post_and_raise_if_error( + client=isolated_client, + endpoint=endpoint, + json=json, # type: ignore + ) + return isolated_client + + +@pytest.mark.asyncio +async def test_link_dimension_with_errors( + dimensions_link_client: AsyncClient, +): + """ + Test linking dimensions with errors + """ + response = await dimensions_link_client.post( + "/nodes/default.does_not_exist/link", + json={ + "dimension_node": "default.users", + "join_on": ("default.does_not_exist.x = default.users.y"), + "join_cardinality": "many_to_one", + }, + ) + assert ( + response.json()["message"] + == "A node with name `default.does_not_exist` does not exist." + ) + + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.random_dimension", + "join_on": ("default.events.x = default.random_dimension.y"), + "join_cardinality": "many_to_one", + }, + ) + assert ( + response.json()["message"] + == "A node with name `default.random_dimension` does not exist." + ) + + response = await dimensions_link_client.post( + "/nodes/default.elapsed_secs/link", + json={ + "dimension_node": "default.users", + "join_on": ("default.elapsed_secs.x = default.users.y"), + "join_cardinality": "many_to_one", + }, + ) + assert response.json()["message"] == ( + "Cannot link dimension to a node of type metric. Must be a source, " + "dimension, or transform node." + ) + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + "join_on": ("default.users.user_id = default.users.user_id"), + "join_cardinality": "many_to_one", + }, + ) + assert response.json()["message"] == ( + "The join SQL provided does not reference both the origin node default.events " + "and the dimension node default.users that it's being joined to." + ) + + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + "join_on": ("default.events.order_year = default.users.year"), + "join_cardinality": "many_to_one", + }, + ) + assert ( + response.json()["message"] + == "Join query default.events.order_year = default.users.year is not valid" + ) + + # Test linking a non-dimension node as the dimension_node (source node instead of dimension) + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.events_table", + "join_on": ("default.events.user_id = default.events_table.user_id"), + "join_cardinality": "many_to_one", + }, + ) + assert response.json()["message"] == ( + "Cannot link dimension to a node of type source. Must be a dimension node." + ) + + +@pytest.fixture +def link_events_to_users_without_role( + dimensions_link_client: AsyncClient, +): + """ + Link events with the users dimension without a role + """ + + async def _link_events_to_users_without_role() -> Response: + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + "join_type": "left", + "join_on": ( + "default.events.user_id = default.users.user_id " + "AND default.events.event_start_date = default.users.snapshot_date" + ), + "join_cardinality": "one_to_one", + }, + ) + return response + + return _link_events_to_users_without_role + + +@pytest.fixture +def link_events_to_users_with_role_direct( + dimensions_link_client: AsyncClient, +): + """ + Link events with the users dimension with the role "user_direct", + indicating a direct mapping between the user's snapshot date with the + event's start date + """ + + async def _link_events_to_users_with_role_direct() -> Response: + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + "join_type": "left", + "join_on": ( + "default.events.user_id = default.users.user_id " + "AND default.events.event_start_date = default.users.snapshot_date" + ), + "join_cardinality": "one_to_one", + "role": "user_direct", + }, + ) + assert response.status_code == 201 + return response + + return _link_events_to_users_with_role_direct + + +@pytest.fixture +def link_events_to_users_with_role_windowed( + dimensions_link_client: AsyncClient, +): + """ + Link events with the users dimension with the role "user_windowed", + indicating windowed join between events and the user dimension + """ + + async def _link_events_to_users_with_role_windowed() -> Response: + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + "join_type": "left", + "join_on": "default.events.user_id = default.users.user_id " + "AND default.events.event_start_date BETWEEN default.users.snapshot_date " + "AND CAST(DATE_ADD(CAST(default.users.snapshot_date AS DATE), 10) AS INT)", + "join_cardinality": "one_to_many", + "role": "user_windowed", + }, + ) + return response + + return _link_events_to_users_with_role_windowed + + +@pytest.fixture +def link_users_to_countries_with_role_registration( + dimensions_link_client: AsyncClient, +): + """ + Link users to the countries dimension with role "registration_country". + """ + + async def _link_users_to_countries_with_role_registration() -> Response: + response = await dimensions_link_client.post( + "/nodes/default.users/link", + json={ + "dimension_node": "default.countries", + "join_type": "inner", + "join_on": "default.users.registration_country = default.countries.country_code ", + "join_cardinality": "one_to_one", + "role": "registration_country", + }, + ) + return response + + return _link_users_to_countries_with_role_registration + + +@pytest.fixture +def reference_link_events_user_registration_country( + dimensions_link_client: AsyncClient, +): + """ + Link users to the countries dimension with role "registration_country". + """ + + async def _reference_link_events_user_registration_country() -> Response: + response = await dimensions_link_client.post( + "/nodes/default.events/columns/user_registration_country/link", + params={ + "dimension_node": "default.users", + "dimension_column": "registration_country", + }, + ) + assert response.status_code == 201 + return response + + return _reference_link_events_user_registration_country + + +@pytest.mark.asyncio +async def test_link_complex_dimension_without_role( + dimensions_link_client: AsyncClient, + link_events_to_users_without_role, +): + """ + Test linking complex dimension without role + """ + response = await link_events_to_users_without_role() + assert response.json() == { + "message": "Dimension node default.users has been successfully " + "linked to node default.events.", + } + + response = await dimensions_link_client.get("/nodes/default.events") + assert response.json()["dimension_links"] == [ + { + "dimension": {"name": "default.users"}, + "join_cardinality": "one_to_one", + "join_sql": "default.events.user_id = default.users.user_id " + "AND default.events.event_start_date = default.users.snapshot_date", + "join_type": "left", + "foreign_keys": { + "default.events.event_start_date": "default.users.snapshot_date", + "default.events.user_id": "default.users.user_id", + }, + "role": None, + }, + ] + + # Update dimension link + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + "join_type": "left", + "join_on": ( + "default.events.user_id = default.users.user_id " + "AND default.events.event_end_date = default.users.snapshot_date" + ), + "join_cardinality": "one_to_many", + }, + ) + assert response.json() == { + "message": "The dimension link between default.events and " + "default.users has been successfully updated.", + } + + response = await dimensions_link_client.get("/nodes/default.events") + assert response.json()["dimension_links"][0]["foreign_keys"] == { + "default.events.event_end_date": "default.users.snapshot_date", + "default.events.user_id": "default.users.user_id", + } + + response = await dimensions_link_client.get("/history?node=default.events") + assert [ + (entry["activity_type"], entry["details"]) + for entry in response.json() + if entry["entity_type"] == "link" + ] == [ + ( + "update", + { + "dimension": "default.users", + "join_cardinality": "one_to_many", + "join_sql": "default.events.user_id = default.users.user_id AND " + "default.events.event_end_date = default.users.snapshot_date", + "role": None, + "version": "v1.2", + }, + ), + ( + "create", + { + "dimension": "default.users", + "join_cardinality": "one_to_one", + "join_sql": "default.events.user_id = default.users.user_id AND " + "default.events.event_start_date = default.users.snapshot_date", + "role": None, + "version": "v1.1", + }, + ), + ] + + # Switch back to original join definition + await link_events_to_users_without_role() + + response = await dimensions_link_client.get( + "/sql/default.events?dimensions=default.users.user_id" + "&dimensions=default.users.snapshot_date" + "&dimensions=default.users.registration_country", + ) + query = response.json()["sql"] + expected = """WITH default_DOT_events AS ( + SELECT + default_DOT_events_table.user_id, + default_DOT_events_table.event_start_date, + default_DOT_events_table.event_end_date, + default_DOT_events_table.elapsed_secs, + default_DOT_events_table.user_registration_country + FROM examples.events AS default_DOT_events_table + ), + default_DOT_users AS ( + SELECT + default_DOT_users_table.user_id, + default_DOT_users_table.snapshot_date, + default_DOT_users_table.registration_country, + default_DOT_users_table.residence_country, + default_DOT_users_table.account_type + FROM examples.users AS default_DOT_users_table + ) + SELECT + default_DOT_events.user_id default_DOT_users_DOT_user_id, + default_DOT_events.event_start_date default_DOT_users_DOT_snapshot_date, + default_DOT_events.event_end_date default_DOT_events_DOT_event_end_date, + default_DOT_events.elapsed_secs default_DOT_events_DOT_elapsed_secs, + default_DOT_events.user_registration_country default_DOT_events_DOT_user_registration_country, + default_DOT_users.registration_country default_DOT_users_DOT_registration_country + FROM default_DOT_events + LEFT JOIN default_DOT_users + ON default_DOT_events.user_id = default_DOT_users.user_id + AND default_DOT_events.event_start_date = default_DOT_users.snapshot_date + """ + assert str(parse(query)) == str(parse(expected)) + + response = await dimensions_link_client.get("/nodes/default.events/dimensions") + assert sorted( + [(attr["name"], attr["path"]) for attr in response.json()], + key=lambda x: x[0], + ) == sorted( + [ + ("default.users.account_type", ["default.events", "default.users"]), + ("default.users.registration_country", ["default.events", "default.users"]), + ("default.users.residence_country", ["default.events", "default.users"]), + ("default.users.snapshot_date", ["default.events", "default.users"]), + ("default.users.user_id", ["default.events", "default.users"]), + ], + key=lambda x: x[0], + ) + + +@pytest.mark.asyncio +async def test_link_complex_dimension_with_role( + dimensions_link_client: AsyncClient, + link_events_to_users_with_role_direct, + link_events_to_users_with_role_windowed, + link_users_to_countries_with_role_registration, +): + """ + Testing linking complex dimension with roles. + """ + response = await link_events_to_users_with_role_direct() + assert response.json() == { + "message": "Dimension node default.users has been successfully " + "linked to node default.events.", + } + + response = await dimensions_link_client.get("/nodes/default.events") + assert response.json()["dimension_links"] == [ + { + "dimension": {"name": "default.users"}, + "join_cardinality": "one_to_one", + "join_sql": "default.events.user_id = default.users.user_id " + "AND default.events.event_start_date = default.users.snapshot_date", + "join_type": "left", + "role": "user_direct", + "foreign_keys": { + "default.events.event_start_date": "default.users.snapshot_date", + "default.events.user_id": "default.users.user_id", + }, + }, + ] + + # Add a dimension link with different role + response = await link_events_to_users_with_role_windowed() + assert response.json() == { + "message": "Dimension node default.users has been successfully linked to node " + "default.events.", + } + + # Add a dimension link on users for registration country + response = await link_users_to_countries_with_role_registration() + assert response.json() == { + "message": "Dimension node default.countries has been successfully linked to node " + "default.users.", + } + + response = await dimensions_link_client.get("/nodes/default.events") + assert sorted( + response.json()["dimension_links"], + key=lambda x: x["role"] or "", + ) == sorted( + [ + { + "dimension": {"name": "default.users"}, + "join_cardinality": "one_to_one", + "join_sql": "default.events.user_id = default.users.user_id AND " + "default.events.event_start_date = default.users.snapshot_date", + "join_type": "left", + "role": "user_direct", + "foreign_keys": { + "default.events.event_start_date": "default.users.snapshot_date", + "default.events.user_id": "default.users.user_id", + }, + }, + { + "dimension": {"name": "default.users"}, + "join_cardinality": "one_to_many", + "join_sql": "default.events.user_id = default.users.user_id AND " + "default.events.event_start_date BETWEEN " + "default.users.snapshot_date AND " + "CAST(DATE_ADD(CAST(default.users.snapshot_date AS DATE), 10) AS " + "INT)", + "join_type": "left", + "role": "user_windowed", + "foreign_keys": { + "default.events.event_start_date": None, + "default.events.user_id": "default.users.user_id", + }, + }, + ], + key=lambda x: x["role"], # type: ignore + ) + + # Verify that the dimensions on the downstream metric have roles specified + response = await dimensions_link_client.get( + "/nodes/default.elapsed_secs/dimensions", + ) + assert sorted( + [(attr["name"], attr["path"]) for attr in response.json()], + key=lambda x: x[0], + ) == [ + ( + "default.countries.country_code[user_direct->registration_country]", + ["default.elapsed_secs", "default.users", "default.countries"], + ), + ( + "default.countries.country_code[user_windowed->registration_country]", + ["default.elapsed_secs", "default.users", "default.countries"], + ), + ( + "default.countries.name[user_direct->registration_country]", + ["default.elapsed_secs", "default.users", "default.countries"], + ), + ( + "default.countries.name[user_windowed->registration_country]", + ["default.elapsed_secs", "default.users", "default.countries"], + ), + ( + "default.countries.population[user_direct->registration_country]", + ["default.elapsed_secs", "default.users", "default.countries"], + ), + ( + "default.countries.population[user_windowed->registration_country]", + ["default.elapsed_secs", "default.users", "default.countries"], + ), + ( + "default.users.account_type[user_direct]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.account_type[user_windowed]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.registration_country[user_direct]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.registration_country[user_windowed]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.residence_country[user_direct]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.residence_country[user_windowed]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.snapshot_date[user_direct]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.snapshot_date[user_windowed]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.user_id[user_direct]", + ["default.elapsed_secs", "default.users"], + ), + ( + "default.users.user_id[user_windowed]", + ["default.elapsed_secs", "default.users"], + ), + ] + + # Get SQL for the downstream metric grouped by the user dimension of role "user_windowed" + response = await dimensions_link_client.get( + "/sql/default.elapsed_secs", + params={ + "dimensions": [ + "default.users.user_id[user_windowed]", + "default.users.snapshot_date[user_windowed]", + "default.users.registration_country[user_windowed]", + ], + "filters": ["default.users.registration_country[user_windowed] = 'NZ'"], + }, + ) + query = response.json()["sql"] + expected = """WITH default_DOT_events AS ( + SELECT + default_DOT_events_table.user_id, + default_DOT_events_table.event_start_date, + default_DOT_events_table.event_end_date, + default_DOT_events_table.elapsed_secs, + default_DOT_events_table.user_registration_country + FROM examples.events AS default_DOT_events_table +), default_DOT_users AS ( + SELECT + default_DOT_users_table.user_id, + default_DOT_users_table.snapshot_date, + default_DOT_users_table.registration_country, + default_DOT_users_table.residence_country, + default_DOT_users_table.account_type + FROM examples.users AS default_DOT_users_table +), +default_DOT_events_metrics AS ( + SELECT + user_windowed.user_id default_DOT_users_DOT_user_id_LBRACK_user_windowed_RBRACK, + user_windowed.snapshot_date default_DOT_users_DOT_snapshot_date_LBRACK_user_windowed_RBRACK, + user_windowed.registration_country default_DOT_users_DOT_registration_country_LBRACK_user_windowed_RBRACK, + SUM(default_DOT_events.elapsed_secs) default_DOT_elapsed_secs + FROM default_DOT_events + LEFT JOIN default_DOT_users AS user_windowed ON default_DOT_events.user_id = user_windowed.user_id + AND default_DOT_events.event_start_date BETWEEN user_windowed.snapshot_date + AND CAST(DATE_ADD(CAST(user_windowed.snapshot_date AS DATE), 10) AS INT) + WHERE user_windowed.registration_country = 'NZ' + GROUP BY + user_windowed.user_id, + user_windowed.snapshot_date, + user_windowed.registration_country +) +SELECT + default_DOT_events_metrics.default_DOT_users_DOT_user_id_LBRACK_user_windowed_RBRACK, + default_DOT_events_metrics.default_DOT_users_DOT_snapshot_date_LBRACK_user_windowed_RBRACK, + default_DOT_events_metrics.default_DOT_users_DOT_registration_country_LBRACK_user_windowed_RBRACK, + default_DOT_events_metrics.default_DOT_elapsed_secs +FROM default_DOT_events_metrics +""" + assert str(parse(query)) == str(parse(expected)) + + # Get SQL for the downstream metric grouped by the user dimension of role "user" + response = await dimensions_link_client.get( + "/sql/default.elapsed_secs?dimensions=default.users.user_id[user_direct]" + "&dimensions=default.users.snapshot_date[user_direct]" + "&dimensions=default.users.registration_country[user_direct]", + ) + query = response.json()["sql"] + expected = """WITH default_DOT_events AS ( + SELECT + default_DOT_events_table.user_id, + default_DOT_events_table.event_start_date, + default_DOT_events_table.event_end_date, + default_DOT_events_table.elapsed_secs, + default_DOT_events_table.user_registration_country + FROM examples.events AS default_DOT_events_table + ), default_DOT_users AS ( + SELECT + default_DOT_users_table.user_id, + default_DOT_users_table.snapshot_date, + default_DOT_users_table.registration_country, + default_DOT_users_table.residence_country, + default_DOT_users_table.account_type + FROM examples.users AS default_DOT_users_table + ), + default_DOT_events_metrics AS ( + SELECT + user_direct.user_id default_DOT_users_DOT_user_id_LBRACK_user_direct_RBRACK, + user_direct.snapshot_date default_DOT_users_DOT_snapshot_date_LBRACK_user_direct_RBRACK, + user_direct.registration_country default_DOT_users_DOT_registration_country_LBRACK_user_direct_RBRACK, + SUM(default_DOT_events.elapsed_secs) default_DOT_elapsed_secs + FROM default_DOT_events + LEFT JOIN default_DOT_users AS user_direct + ON default_DOT_events.user_id = user_direct.user_id + AND default_DOT_events.event_start_date = user_direct.snapshot_date + GROUP BY + user_direct.user_id, + user_direct.snapshot_date, + user_direct.registration_country + ) + SELECT + default_DOT_events_metrics.default_DOT_users_DOT_user_id_LBRACK_user_direct_RBRACK, + default_DOT_events_metrics.default_DOT_users_DOT_snapshot_date_LBRACK_user_direct_RBRACK, + default_DOT_events_metrics.default_DOT_users_DOT_registration_country_LBRACK_user_direct_RBRACK, + default_DOT_events_metrics.default_DOT_elapsed_secs + FROM default_DOT_events_metrics""" + assert str(parse(query)) == str(parse(expected)) + + # Get SQL for the downstream metric grouped by the user's registration country and + # filtered by the user's residence country + response = await dimensions_link_client.get( + "/sql/default.elapsed_secs?", + params={ + "dimensions": [ + # "default.countries.country_code[user_windowed->registration_country]", + "default.countries.name[user_direct->registration_country]", + "default.users.snapshot_date[user_direct]", + "default.users.registration_country[user_direct]", + ], + "filters": [ + "default.countries.name[user_direct->registration_country] = 'NZ'", + ], + }, + ) + data = response.json() + query = data["sql"] + expected = """WITH default_DOT_events AS ( + SELECT + default_DOT_events_table.user_id, + default_DOT_events_table.event_start_date, + default_DOT_events_table.event_end_date, + default_DOT_events_table.elapsed_secs, + default_DOT_events_table.user_registration_country + FROM examples.events AS default_DOT_events_table +), default_DOT_users AS ( + SELECT + default_DOT_users_table.user_id, + default_DOT_users_table.snapshot_date, + default_DOT_users_table.registration_country, + default_DOT_users_table.residence_country, + default_DOT_users_table.account_type + FROM examples.users AS default_DOT_users_table +), default_DOT_countries AS ( + SELECT + default_DOT_countries_table.country_code, + default_DOT_countries_table.name, + default_DOT_countries_table.population + FROM examples.countries AS default_DOT_countries_table +), +default_DOT_events_metrics AS ( + SELECT + user_direct__registration_country.name default_DOT_countries_DOT_name_LBRACK_user_direct_MINUS__GT_registration_country_RBRACK, + user_direct.snapshot_date default_DOT_users_DOT_snapshot_date_LBRACK_user_direct_RBRACK, + user_direct.registration_country default_DOT_users_DOT_registration_country_LBRACK_user_direct_RBRACK, + SUM(default_DOT_events.elapsed_secs) default_DOT_elapsed_secs + FROM default_DOT_events + LEFT JOIN default_DOT_users AS user_direct + ON default_DOT_events.user_id = user_direct.user_id + AND default_DOT_events.event_start_date = user_direct.snapshot_date + INNER JOIN default_DOT_countries AS user_direct__registration_country + ON user_direct.registration_country = user_direct__registration_country.country_code + WHERE user_direct__registration_country.name = 'NZ' + GROUP BY + user_direct__registration_country.name, + user_direct.snapshot_date, + user_direct.registration_country +) +SELECT + default_DOT_events_metrics.default_DOT_countries_DOT_name_LBRACK_user_direct_MINUS__GT_registration_country_RBRACK, + default_DOT_events_metrics.default_DOT_users_DOT_snapshot_date_LBRACK_user_direct_RBRACK, + default_DOT_events_metrics.default_DOT_users_DOT_registration_country_LBRACK_user_direct_RBRACK, + default_DOT_events_metrics.default_DOT_elapsed_secs +FROM default_DOT_events_metrics +""" + assert str(parse(query)) == str(parse(expected)) + assert data["columns"] == [ + { + "column": "name[user_direct->registration_country]", + "name": "default_DOT_countries_DOT_name_LBRACK_user_direct_MINUS__GT_registration_country_RBRACK", + "node": "default.countries", + "semantic_entity": "default.countries.name[user_direct->registration_country]", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "snapshot_date[user_direct]", + "name": "default_DOT_users_DOT_snapshot_date_LBRACK_user_direct_RBRACK", + "node": "default.users", + "semantic_entity": "default.users.snapshot_date[user_direct]", + "semantic_type": "dimension", + "type": "int", + }, + { + "column": "registration_country[user_direct]", + "name": "default_DOT_users_DOT_registration_country_LBRACK_user_direct_RBRACK", + "node": "default.users", + "semantic_entity": "default.users.registration_country[user_direct]", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "default_DOT_elapsed_secs", + "name": "default_DOT_elapsed_secs", + "node": "default.elapsed_secs", + "semantic_entity": "default.elapsed_secs.default_DOT_elapsed_secs", + "semantic_type": "metric", + "type": "bigint", + }, + ] + + +@pytest.mark.asyncio +async def test_remove_dimension_link( + dimensions_link_client: AsyncClient, + link_events_to_users_with_role_direct, + link_events_to_users_without_role, +): + """ + Test removing complex dimension links + """ + response = await link_events_to_users_with_role_direct() + assert response.json() == { + "message": "Dimension node default.users has been successfully linked to node " + "default.events.", + } + response = await dimensions_link_client.get("/nodes/default.events") + # assert response.json()["dimension_links"] == [] + response = await dimensions_link_client.request( + "DELETE", + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + "role": "user_direct", + }, + ) + assert response.json() == { + "message": "Dimension link default.users (role user_direct) to node " + "default.events has been removed.", + } + + response = await dimensions_link_client.get("/nodes/default.events") + assert response.json()["dimension_links"] == [] + # Deleting again should not work + response = await dimensions_link_client.request( + "DELETE", + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + "role": "user_direct", + }, + ) + assert response.json() == { + "message": "Dimension link to node default.users with role user_direct not found", + } + + await link_events_to_users_without_role() + response = await dimensions_link_client.request( + "DELETE", + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + }, + ) + assert response.json() == { + "message": "Dimension link default.users to node " + "default.events has been removed.", + } + + # Deleting again should not work + response = await dimensions_link_client.request( + "DELETE", + "/nodes/default.events/link", + json={ + "dimension_node": "default.users", + }, + ) + assert response.json() == { + "message": "Dimension link to node default.users not found", + } + + +@pytest.mark.asyncio +async def test_measures_sql_with_dimension_roles( + dimensions_link_client: AsyncClient, + link_events_to_users_with_role_direct, + link_events_to_users_with_role_windowed, + link_users_to_countries_with_role_registration, +): + """ + Test measures SQL with dimension roles + """ + await link_events_to_users_with_role_direct() + await link_events_to_users_with_role_windowed() + await link_users_to_countries_with_role_registration() + sql_params = { + "metrics": ["default.elapsed_secs"], + "dimensions": [ + "default.countries.name[user_direct->registration_country]", + "default.users.snapshot_date[user_direct]", + "default.users.registration_country[user_direct]", + ], + "filters": ["default.countries.name[user_direct->registration_country] = 'UG'"], + } + response = await dimensions_link_client.get("/sql/measures/v2", params=sql_params) + query = response.json()[0]["sql"] + expected = """WITH default_DOT_events AS ( + SELECT + default_DOT_events_table.user_id, + default_DOT_events_table.event_start_date, + default_DOT_events_table.event_end_date, + default_DOT_events_table.elapsed_secs, + default_DOT_events_table.user_registration_country + FROM examples.events AS default_DOT_events_table +), default_DOT_users AS ( + SELECT + default_DOT_users_table.user_id, + default_DOT_users_table.snapshot_date, + default_DOT_users_table.registration_country, + default_DOT_users_table.residence_country, + default_DOT_users_table.account_type + FROM examples.users AS default_DOT_users_table +), default_DOT_countries AS ( + SELECT + default_DOT_countries_table.country_code, + default_DOT_countries_table.name, + default_DOT_countries_table.population + FROM examples.countries AS default_DOT_countries_table +) +SELECT + default_DOT_events.elapsed_secs default_DOT_events_DOT_elapsed_secs, + user_direct__registration_country.name default_DOT_countries_DOT_name_LBRACK_user_direct_MINUS__GT_registration_country_RBRACK, + user_direct.snapshot_date default_DOT_users_DOT_snapshot_date_LBRACK_user_direct_RBRACK, + user_direct.registration_country default_DOT_users_DOT_registration_country_LBRACK_user_direct_RBRACK +FROM default_DOT_events +LEFT JOIN default_DOT_users AS user_direct + ON default_DOT_events.user_id = user_direct.user_id + AND default_DOT_events.event_start_date = user_direct.snapshot_date +INNER JOIN default_DOT_countries AS user_direct__registration_country + ON user_direct.registration_country = user_direct__registration_country.country_code +WHERE user_direct__registration_country.name = 'UG'""" + assert str(parse(query)) == str(parse(expected)) + + +@pytest.mark.asyncio +async def test_reference_dimension_links_errors( + dimensions_link_client: AsyncClient, + reference_link_events_user_registration_country, +): + """ + Test various reference dimension link errors + """ + # Not a dimension node being linked + response = await dimensions_link_client.post( + "/nodes/default.events/columns/user_registration_country/link", + params={ + "dimension_node": "default.users_table", + "dimension_column": "user_id", + }, + ) + assert response.status_code == 422 + assert response.json()["message"] == "Node default.events is not of type dimension!" + + # Wrong type to create a reference dimension link + response = await dimensions_link_client.post( + "/nodes/default.events/columns/user_registration_country/link", + params={ + "dimension_node": "default.users", + "dimension_column": "snapshot_date", + }, + ) + assert response.status_code == 422 + assert response.json()["message"] == ( + "The column user_registration_country has type string and is being linked to" + " the dimension default.users via the dimension column snapshot_date, which " + "has type int. These column types are incompatible and the dimension cannot " + "be linked" + ) + + # Delete reference link twice + await reference_link_events_user_registration_country() + response = await dimensions_link_client.delete( + "/nodes/default.events/columns/user_registration_country/link", + ) + assert response.status_code == 200 + assert response.json()["message"] == ( + "The reference dimension link on default.events.user_registration_country" + " has been removed." + ) + response = await dimensions_link_client.delete( + "/nodes/default.events/columns/user_registration_country/link", + ) + assert response.status_code == 200 + assert response.json()["message"] == ( + "There is no reference dimension link on default.events.user_registration_country." + ) + + +@pytest.mark.asyncio +async def test_reference_dimension_links( + dimensions_link_client: AsyncClient, + link_events_to_users_without_role, +): + """ + Test reference dimension links on dimension nodes + """ + await link_events_to_users_without_role() + response = await dimensions_link_client.get( + "/nodes/default.elapsed_secs/dimensions", + ) + dimensions_data = response.json() + assert [dim["name"] for dim in dimensions_data] == [ + "default.users.user_id", + "default.users.snapshot_date", + "default.users.registration_country", + "default.users.residence_country", + "default.users.account_type", + ] + response = await dimensions_link_client.post( + "/nodes/default.users/columns/residence_country/link", + params={ + "dimension_node": "default.countries", + "dimension_column": "name", + }, + ) + assert response.status_code == 201 + response = await dimensions_link_client.get( + "/nodes/default.elapsed_secs/dimensions", + ) + dimensions_data = response.json() + assert [dim["name"] for dim in dimensions_data] == [ + "default.countries.name", + "default.users.user_id", + "default.users.snapshot_date", + "default.users.registration_country", + "default.users.residence_country", + "default.users.account_type", + ] + + +@pytest.mark.asyncio +async def test_measures_sql_with_reference_dimension_links( + dimensions_link_client: AsyncClient, + reference_link_events_user_registration_country, + link_events_to_users_without_role, +): + """ + Test measures SQL generation with reference dimension links + """ + await reference_link_events_user_registration_country() + + response = await dimensions_link_client.get( + "/nodes/default.elapsed_secs/dimensions", + ) + dimensions_data = response.json() + assert dimensions_data == [ + { + "filter_only": False, + "name": "default.users.registration_country", + "node_display_name": "Users", + "node_name": "default.users", + "path": [ + "default.events.user_registration_country", + ], + "type": "string", + "properties": [], + }, + ] + + await link_events_to_users_without_role() + response = await dimensions_link_client.get( + "/nodes/default.elapsed_secs/dimensions", + ) + dimensions_data = response.json() + assert set([dim["name"] for dim in dimensions_data]) == set( + [ + "default.users.account_type", + "default.users.registration_country", + "default.users.registration_country", + "default.users.residence_country", + "default.users.snapshot_date", + "default.users.user_id", + ], + ) + + sql_params = { + "metrics": ["default.elapsed_secs"], + "dimensions": [ + "default.users.registration_country", + ], + } + + response = await dimensions_link_client.get("/sql/measures/v2", params=sql_params) + response_data = response.json() + expected_sql = """WITH +default_DOT_events AS ( + SELECT + default_DOT_events_table.user_id, + default_DOT_events_table.event_start_date, + default_DOT_events_table.event_end_date, + default_DOT_events_table.elapsed_secs, + default_DOT_events_table.user_registration_country + FROM examples.events AS default_DOT_events_table +) +SELECT + default_DOT_events.elapsed_secs default_DOT_events_DOT_elapsed_secs, + default_DOT_events.user_registration_country default_DOT_users_DOT_registration_country +FROM default_DOT_events""" + assert str(parse(response_data[0]["sql"])) == str(parse(expected_sql)) + assert response_data[0]["errors"] == [] + assert response_data[0]["columns"] == [ + { + "name": "default_DOT_events_DOT_elapsed_secs", + "type": "int", + "column": "elapsed_secs", + "node": "default.events", + "semantic_entity": "default.events.elapsed_secs", + "semantic_type": "measure", + }, + { + "name": "default_DOT_users_DOT_registration_country", + "type": "string", + "column": "user_registration_country", + "node": "default.events", + "semantic_entity": "default.users.registration_country", + "semantic_type": "dimension", + }, + ] + response = await dimensions_link_client.delete( + "/nodes/default.events/columns/user_registration_country/link", + ) + assert response.status_code == 200 + response = await dimensions_link_client.get("/sql/measures/v2", params=sql_params) + response = await dimensions_link_client.get("/sql/measures/v2", params=sql_params) + response_data = response.json() + expected_sql = """ + WITH default_DOT_events AS ( + SELECT + default_DOT_events_table.user_id, + default_DOT_events_table.event_start_date, + default_DOT_events_table.event_end_date, + default_DOT_events_table.elapsed_secs, + default_DOT_events_table.user_registration_country + FROM examples.events AS default_DOT_events_table + ), + default_DOT_users AS ( + SELECT + default_DOT_users_table.user_id, + default_DOT_users_table.snapshot_date, + default_DOT_users_table.registration_country, + default_DOT_users_table.residence_country, + default_DOT_users_table.account_type + FROM examples.users AS default_DOT_users_table + ) + SELECT + default_DOT_events.elapsed_secs default_DOT_events_DOT_elapsed_secs, + default_DOT_users.registration_country default_DOT_users_DOT_registration_country + FROM default_DOT_events + LEFT JOIN default_DOT_users + ON default_DOT_events.user_id = default_DOT_users.user_id + AND default_DOT_events.event_start_date = default_DOT_users.snapshot_date + """ + assert str(parse(response_data[0]["sql"])) == str(parse(expected_sql)) + assert response_data[0]["errors"] == [] + + +@pytest.mark.asyncio +async def test_dimension_link_cross_join( + dimensions_link_client: AsyncClient, +): + """ + Testing linking complex dimension with CROSS JOIN as the join type. + """ + response = await dimensions_link_client.post( + "/nodes/dimension", + json={ + "description": "Areas", + "query": """ + SELECT tab.area, 1 AS area_rep FROM VALUES ('A'), ('B'), ('C') AS tab(area) + """, + "mode": "published", + "name": "default.areas", + "primary_key": ["area"], + }, + ) + assert response.status_code == 201 + response = await dimensions_link_client.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.areas", + "join_type": "cross", + "join_on": "", + "join_cardinality": "many_to_one", + }, + ) + assert response.status_code == 201 + response = await dimensions_link_client.get("/nodes/default.events/dimensions") + assert [dim["name"] for dim in response.json()] == [ + "default.areas.area", + "default.areas.area_rep", + ] + + response = await dimensions_link_client.get( + "/sql/default.events?dimensions=default.areas.area&dimensions=default.areas.area_rep", + ) + expected = """WITH + default_DOT_events AS ( + SELECT + default_DOT_events_table.user_id, + default_DOT_events_table.event_start_date, + default_DOT_events_table.event_end_date, + default_DOT_events_table.elapsed_secs, + default_DOT_events_table.user_registration_country + FROM examples.events AS default_DOT_events_table + ), + default_DOT_areas AS ( + SELECT + tab.area, + 1 AS area_rep + FROM VALUES ('A'), + ('B'), + ('C') AS tab(area) + ) + SELECT + default_DOT_events.user_id default_DOT_events_DOT_user_id, + default_DOT_events.event_start_date default_DOT_events_DOT_event_start_date, + default_DOT_events.event_end_date default_DOT_events_DOT_event_end_date, + default_DOT_events.elapsed_secs default_DOT_events_DOT_elapsed_secs, + default_DOT_events.user_registration_country default_DOT_events_DOT_user_registration_country, + default_DOT_areas.area default_DOT_areas_DOT_area, + default_DOT_areas.area_rep default_DOT_areas_DOT_area_rep + FROM default_DOT_events CROSS JOIN default_DOT_areas + """ + assert str(parse(response.json()["sql"])) == str(parse(expected)) + + +@pytest.mark.asyncio +async def test_dimension_link_deleted_dimension_node( + dimensions_link_client: AsyncClient, + link_events_to_users_without_role, +): + """ + Test dimension links with deleted dimension node + """ + response = await link_events_to_users_without_role() + assert response.json() == { + "message": "Dimension node default.users has been successfully linked to node " + "default.events.", + } + response = await dimensions_link_client.get("/nodes/default.events") + assert [ + link["dimension"]["name"] for link in response.json()["dimension_links"] + ] == ["default.users"] + + gql_find_nodes_query = """ + query Node { + findNodes(names: ["default.events"]) { + current { + dimensionLinks { + dimension { + name + } + } + } + } + } + """ + response = await dimensions_link_client.post( + "/graphql", + json={"query": gql_find_nodes_query}, + ) + assert response.json()["data"]["findNodes"] == [ + { + "current": {"dimensionLinks": [{"dimension": {"name": "default.users"}}]}, + }, + ] + + # Deactivate the dimension node + response = await dimensions_link_client.delete("/nodes/default.users") + + # The dimension link should be hidden + response = await dimensions_link_client.get("/nodes/default.events") + assert response.json()["dimension_links"] == [] + response = await dimensions_link_client.post( + "/graphql", + json={"query": gql_find_nodes_query}, + ) + assert response.json()["data"]["findNodes"] == [{"current": {"dimensionLinks": []}}] + + # Restore the dimension node + response = await dimensions_link_client.post("/nodes/default.users/restore") + assert response.status_code == 200 + + # The dimension link should be recovered + response = await dimensions_link_client.get("/nodes/default.events") + assert [ + link["dimension"]["name"] for link in response.json()["dimension_links"] + ] == ["default.users"] + response = await dimensions_link_client.post( + "/graphql", + json={"query": gql_find_nodes_query}, + ) + assert response.json()["data"]["findNodes"] == [ + { + "current": {"dimensionLinks": [{"dimension": {"name": "default.users"}}]}, + }, + ] + + # Hard delete the dimension node + response = await dimensions_link_client.delete("/nodes/default.users/hard") + + # The dimension link to default.users should be gone + response = await dimensions_link_client.get("/nodes/default.events") + final_dim_names = [ + link["dimension"]["name"] for link in response.json()["dimension_links"] + ] + assert "default.users" not in final_dim_names # users link should be removed + response = await dimensions_link_client.post( + "/graphql", + json={"query": gql_find_nodes_query}, + ) + gql_result = response.json()["data"]["findNodes"] + gql_dim_names = [ + dl["dimension"]["name"] for dl in gql_result[0]["current"]["dimensionLinks"] + ] + assert "default.users" not in gql_dim_names # users link should be removed diff --git a/datajunction-server/tests/api/dimensions_access_test.py b/datajunction-server/tests/api/dimensions_access_test.py new file mode 100644 index 000000000..8c7f1381d --- /dev/null +++ b/datajunction-server/tests/api/dimensions_access_test.py @@ -0,0 +1,62 @@ +""" +Tests for the dimensions API. +""" + +import pytest +from httpx import AsyncClient + +from datajunction_server.internal.access.authorization import AuthorizationService +from datajunction_server.models import access + + +class RepairOnlyAuthorizationService(AuthorizationService): + """ + Authorization service that only approves nodes with 'repair' in the name. + """ + + name = "repair_only" + + def authorize(self, auth_context, requests): + return [ + access.AccessDecision( + request=request, + approved="repair" in request.access_object.name, + ) + for request in requests + ] + + +@pytest.mark.asyncio +async def test_list_nodes_with_dimension_access_limited( + module__client_with_roads: AsyncClient, + mocker, +) -> None: + """ + Test ``GET /dimensions/{name}/nodes/``. + """ + + def get_repair_only_service(): + return RepairOnlyAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_repair_only_service, + ) + + response = await module__client_with_roads.get( + "/dimensions/default.hard_hat/nodes/", + ) + + data = response.json() + roads_repair_nodes = { + "default.repair_orders", + "default.repair_order_details", + "default.repair_order", + "default.num_repair_orders", + "default.avg_repair_price", + "default.repair_orders_fact", + "default.total_repair_cost", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + } + assert {node["name"] for node in data} == roads_repair_nodes diff --git a/datajunction-server/tests/api/dimensions_test.py b/datajunction-server/tests/api/dimensions_test.py new file mode 100644 index 000000000..48b47803e --- /dev/null +++ b/datajunction-server/tests/api/dimensions_test.py @@ -0,0 +1,182 @@ +""" +Tests for the dimensions API. +""" + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_list_dimension( + module__client_with_roads_and_acc_revenue: AsyncClient, +) -> None: + """ + Test ``GET /dimensions/``. + """ + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/?prefix=default", + ) + data = response.json() + + assert response.status_code == 200 + + results = {(dim["name"], dim["indegree"]) for dim in data} + assert ("default.dispatcher", 3) in results + assert ("default.repair_order", 2) in results + assert ("default.hard_hat", 2) in results + assert ("default.hard_hat_to_delete", 2) in results + assert ("default.municipality_dim", 2) in results + assert ("default.contractor", 1) in results + assert ("default.us_state", 2) in results + assert ("default.local_hard_hats", 0) in results + assert ("default.local_hard_hats_1", 0) in results + assert ("default.local_hard_hats_2", 0) in results + assert ("default.payment_type", 0) in results + assert ("default.account_type", 0) in results + assert ("default.hard_hat_2", 0) in results + + +@pytest.mark.asyncio +async def test_list_nodes_with_dimension( + module__client_with_roads_and_acc_revenue: AsyncClient, +) -> None: + """ + Test ``GET /dimensions/{name}/nodes/``. + """ + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/default.hard_hat/nodes/", + ) + data = response.json() + roads_nodes = { + "default.repair_orders", + "default.repair_order_details", + "default.repair_order", + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.avg_repair_price", + "default.repair_orders_fact", + "default.total_repair_cost", + "default.discounted_orders_rate", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + } + assert {node["name"] for node in data} == roads_nodes + + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/default.repair_order/nodes/", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.repair_order_details", + "default.repair_orders", + } + + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/default.us_state/nodes/", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.avg_length_of_employment", + "default.repair_orders", + "default.repair_order_details", + "default.hard_hat", + "default.repair_order", + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.avg_repair_price", + "default.repair_orders_fact", + "default.total_repair_cost", + "default.discounted_orders_rate", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + "default.contractors", + } + + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/default.municipality_dim/nodes/", + ) + data = response.json() + assert {node["name"] for node in data} == roads_nodes + + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/default.contractor/nodes/", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.repair_type", + } + + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/default.municipality_dim/nodes/?node_type=metric", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.avg_repair_price", + "default.total_repair_cost", + "default.discounted_orders_rate", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + } + + +@pytest.mark.asyncio +async def test_list_nodes_with_common_dimension( + module__client_with_roads_and_acc_revenue: AsyncClient, +) -> None: + """ + Test ``GET /dimensions/common/``. + """ + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/common/?dimension=default.hard_hat", + ) + data = response.json() + roads_nodes = { + "default.repair_order", + "default.repair_orders", + "default.repair_order_details", + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.avg_repair_price", + "default.total_repair_cost", + "default.repair_orders_fact", + "default.discounted_orders_rate", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + } + assert {node["name"] for node in data} == roads_nodes + + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/common/?dimension=default.hard_hat&dimension=default.us_state" + "&dimension=default.dispatcher&dimension=default.municipality_dim", + ) + data = response.json() + assert {node["name"] for node in data} == roads_nodes + + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/common/?dimension=default.hard_hat&dimension=default.us_state" + "&dimension=default.dispatcher&dimension=default.payment_type", + ) + data = response.json() + assert {node["name"] for node in data} == set() + + response = await module__client_with_roads_and_acc_revenue.get( + "/dimensions/common/?dimension=default.hard_hat&dimension=default.us_state" + "&dimension=default.dispatcher&node_type=metric", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.avg_repair_price", + "default.total_repair_cost", + "default.discounted_orders_rate", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + } diff --git a/datajunction-server/tests/api/djql_test.py b/datajunction-server/tests/api/djql_test.py new file mode 100644 index 000000000..1eb90977e --- /dev/null +++ b/datajunction-server/tests/api/djql_test.py @@ -0,0 +1,431 @@ +""" +Tests for the djsql API. +""" + +import pytest +from httpx import AsyncClient + +from tests.sql.utils import assert_query_strings_equal, compare_query_strings + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="Will move djsql to new sql build later") +async def test_get_djsql_data_only_nodes_query( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql with just some non-metric nodes + """ + + query = """ +SELECT default.hard_hat.country, + default.hard_hat.city +FROM default.hard_hat + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + data = response.json()["results"][0]["rows"] + assert data == [ + ["USA", "Jersey City"], + ["USA", "Middletown"], + ["USA", "Billerica"], + ["USA", "Southampton"], + ["USA", "Southgate"], + ["USA", "Powder Springs"], + ["USA", "Niagara Falls"], + ["USA", "Phoenix"], + ["USA", "Muskogee"], + ] + query = response.json()["results"][0]["sql"] + expected_query = """WITH + node_query_0 AS (SELECT default_DOT_hard_hat.hard_hat_id, + default_DOT_hard_hat.last_name, + default_DOT_hard_hat.first_name, + default_DOT_hard_hat.title, + default_DOT_hard_hat.birth_date, + default_DOT_hard_hat.hire_date, + default_DOT_hard_hat.address, + default_DOT_hard_hat.city, + default_DOT_hard_hat.state, + default_DOT_hard_hat.postal_code, + default_DOT_hard_hat.country, + default_DOT_hard_hat.manager, + default_DOT_hard_hat.contractor_id + FROM (SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats) + AS default_DOT_hard_hat + + ) + + SELECT node_query_0.country, + node_query_0.city + FROM node_query_0""" + assert compare_query_strings(query, expected_query) + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="Will move djsql to new sql build later") +async def test_get_djsql_data_only_nested_metrics( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql with metric subquery + """ + + query = """ + SELECT + Sum(avg_repair_price), + city + FROM + ( + SELECT + default.avg_repair_price avg_repair_price, + default.hard_hat.country country, + default.hard_hat.city city + FROM + metrics + GROUP BY + default.hard_hat.country, + default.hard_hat.city + LIMIT + 5 + ) + GROUP BY city + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + rows = response.json()["results"][0]["rows"] + assert rows == [ + [54672.75, "Jersey City"], + [76555.33333333333, "Billerica"], + [64190.6, "Southgate"], + [65682.0, "Phoenix"], + [54083.5, "Southampton"], + ] + + query = response.json()["results"][0]["sql"] + expected_query = """WITH + metric_query_0 AS (SELECT default_DOT_repair_orders_fact.default_DOT_avg_repair_price, + default_DOT_repair_orders_fact.default_DOT_hard_hat_DOT_country, + default_DOT_repair_orders_fact.default_DOT_hard_hat_DOT_city + FROM (SELECT default_DOT_hard_hat.country default_DOT_hard_hat_DOT_country, + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + avg(default_DOT_repair_orders_fact.price) default_DOT_avg_repair_price + FROM (SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id) + AS default_DOT_repair_orders_fact LEFT JOIN (SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.country + FROM roads.hard_hats AS default_DOT_hard_hats) + AS default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + GROUP BY default_DOT_hard_hat.country, default_DOT_hard_hat.city) AS default_DOT_repair_orders_fact + + LIMIT 5) + + SELECT Sum(avg_repair_price), + city + FROM (SELECT metric_query_0.default_DOT_avg_repair_price AS avg_repair_price, + metric_query_0.default_DOT_hard_hat_DOT_country AS country, + metric_query_0.default_DOT_hard_hat_DOT_city AS city + FROM metric_query_0) + GROUP BY city""" + assert_query_strings_equal(query, expected_query) + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="Will move djsql to new sql build later") +async def test_get_djsql_data_only_multiple_metrics( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql with metric subquery + """ + + query = """ + SELECT + default.avg_repair_price avg_repair_price, + default.total_repair_cost total_cost, + default.hard_hat.country, + default.hard_hat.city + FROM + metrics + GROUP BY + default.hard_hat.country, + default.hard_hat.city + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + data = response.json()["results"][0]["rows"] + assert data == [ + [54672.75, 218691.0, "USA", "Jersey City"], + [76555.33333333333, 229666.0, "USA", "Billerica"], + [64190.6, 320953.0, "USA", "Southgate"], + [65682.0, 131364.0, "USA", "Phoenix"], + [54083.5, 216334.0, "USA", "Southampton"], + [65595.66666666667, 196787.0, "USA", "Powder Springs"], + [39301.5, 78603.0, "USA", "Middletown"], + [70418.0, 70418.0, "USA", "Muskogee"], + [53374.0, 53374.0, "USA", "Niagara Falls"], + ] + query = response.json()["results"][0]["sql"] + expected_query = """WITH + metric_query_0 AS (SELECT default_DOT_repair_orders_fact.default_DOT_avg_repair_price, + default_DOT_repair_orders_fact.default_DOT_total_repair_cost, + default_DOT_repair_orders_fact.default_DOT_hard_hat_DOT_country, + default_DOT_repair_orders_fact.default_DOT_hard_hat_DOT_city + FROM (SELECT default_DOT_hard_hat.country default_DOT_hard_hat_DOT_country, + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + avg(default_DOT_repair_orders_fact.price) default_DOT_avg_repair_price, + sum(default_DOT_repair_orders_fact.total_repair_cost) default_DOT_total_repair_cost + FROM (SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id) + AS default_DOT_repair_orders_fact LEFT JOIN (SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.country + FROM roads.hard_hats AS default_DOT_hard_hats) + AS default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + GROUP BY default_DOT_hard_hat.country, default_DOT_hard_hat.city) AS default_DOT_repair_orders_fact) + + SELECT metric_query_0.default_DOT_avg_repair_price AS avg_repair_price, + metric_query_0.default_DOT_total_repair_cost AS total_cost, + metric_query_0.default_DOT_hard_hat_DOT_country, + metric_query_0.default_DOT_hard_hat_DOT_city + FROM metric_query_0""" + assert compare_query_strings(query, expected_query) + + +@pytest.mark.asyncio +async def test_get_djsql_metric_table_exception( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql with metric subquery from non `metrics` + """ + + query = """ + SELECT + default.avg_repair_price avg_repair_price, + default.hard_hat.country, + default.hard_hat.city + FROM + oops + GROUP BY + default.hard_hat.country, + default.hard_hat.city + + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + assert ( + response.json()["message"] + == "Any SELECT referencing a Metric must source from a single unaliased Table named `metrics`." + ) + + +@pytest.mark.asyncio +async def test_get_djsql_illegal_clause_metric_query( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql with metric subquery from non `metrics` + """ + + query = """ + SELECT + default.avg_repair_price avg_repair_price, + default.hard_hat.country, + default.hard_hat.city + FROM + metrics + GROUP BY + default.hard_hat.country, + default.hard_hat.city + HAVING 5 + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + assert ( + response.json()["message"] + == "HAVING, LATERAL VIEWS, and SET OPERATIONS are not allowed on `metrics` queries." + ) + + +@pytest.mark.asyncio +async def test_get_djsql_illegal_column_expression( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql with non col exp in projection + """ + + query = """ + SELECT + default.avg_repair_price avg_repair_price, + default.hard_hat.country, + default.hard_hat.id+5 + FROM + metrics + GROUP BY + default.hard_hat.country, + default.hard_hat.city + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + assert ( + response.json()["message"] + == "Only direct Columns are allowed in `metrics` queries, found `default.hard_hat.id + 5`." + ) + + +@pytest.mark.asyncio +async def test_get_djsql_illegal_column( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql with bad col in projection + """ + + query = """ + SELECT + default.avg_repair_price avg_repair_price, + default.hard_hat.country, + default.repair_orders.id + FROM + metrics + GROUP BY + default.hard_hat.country, + default.hard_hat.city + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + assert ( + response.json()["message"] + == "You can only select direct METRIC nodes or a column from your GROUP BY on `metrics` queries, found `default.repair_orders.id`" + ) + + +@pytest.mark.asyncio +async def test_get_djsql_illegal_limit( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql with bad limit + """ + + query = """ + SELECT + default.avg_repair_price avg_repair_price + FROM + metrics + GROUP BY + default.hard_hat.country + LIMIT 1+2 + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + assert ( + response.json()["message"] + == "LIMITs on `metrics` queries can only be integers not `1 + 2`." + ) + + +@pytest.mark.asyncio +async def test_get_djsql_no_nodes( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test djsql without dj node refs + """ + + query = """ + SELECT 1 + """ + + response = await module__client_with_roads.get( + "/djsql/data/", + params={"query": query}, + ) + assert response.json()["message"].startswith("Found no dj nodes in query") + + +@pytest.mark.asyncio +async def test_djsql_stream( + module__client: AsyncClient, +) -> None: + """ + Test streaming djsql + """ + query = """ + SELECT 1 + """ + + response = await module__client.get( + "/djsql/stream/", + params={"query": query}, + ) + assert response.status_code == 422 + assert response.json()["message"].startswith("Found no dj nodes in query") diff --git a/datajunction-server/tests/api/engine_test.py b/datajunction-server/tests/api/engine_test.py new file mode 100644 index 000000000..88962e7ed --- /dev/null +++ b/datajunction-server/tests/api/engine_test.py @@ -0,0 +1,240 @@ +""" +Tests for the engine API. + +Uses isolated_client to ensure a clean dialect registry and database state. +""" + +import pytest +from httpx import AsyncClient + +from datajunction_server.models.dialect import DialectRegistry +from datajunction_server.transpilation import ( + SQLTranspilationPlugin, + SQLGlotTranspilationPlugin, +) + + +@pytest.fixture +def clean_dialect_registry(): + """Clear and reset the dialect registry with default plugins. + + Order matches the expected test output (from /dialects/ endpoint). + """ + DialectRegistry._registry.clear() + # Register in the order expected by test_dialects_list: + # spark, trino (SQLTranspilationPlugin) + # sqlite, snowflake, redshift, postgres, duckdb (SQLGlotTranspilationPlugin) + # druid (SQLTranspilationPlugin) + # clickhouse (SQLGlotTranspilationPlugin) + DialectRegistry.register("spark", SQLTranspilationPlugin) + DialectRegistry.register("trino", SQLTranspilationPlugin) + DialectRegistry.register("sqlite", SQLGlotTranspilationPlugin) + DialectRegistry.register("snowflake", SQLGlotTranspilationPlugin) + DialectRegistry.register("redshift", SQLGlotTranspilationPlugin) + DialectRegistry.register("postgres", SQLGlotTranspilationPlugin) + DialectRegistry.register("duckdb", SQLGlotTranspilationPlugin) + DialectRegistry.register("druid", SQLTranspilationPlugin) + DialectRegistry.register("clickhouse", SQLGlotTranspilationPlugin) + yield + # Optional cleanup after test + + +@pytest.mark.asyncio +async def test_engine_adding_a_new_engine( + isolated_client: AsyncClient, + clean_dialect_registry, +) -> None: + """ + Test adding an engine + """ + response = await isolated_client.post( + "/engines/", + json={ + "name": "spark-one", + "version": "3.3.1", + "dialect": "spark", + }, + ) + data = response.json() + assert response.status_code == 201 + assert data == { + "dialect": "spark", + "name": "spark-one", + "uri": None, + "version": "3.3.1", + } + + +@pytest.mark.asyncio +async def test_engine_list( + isolated_client: AsyncClient, + clean_dialect_registry, +) -> None: + """ + Test listing engines + """ + response = await isolated_client.post( + "/engines/", + json={ + "name": "spark-foo", + "version": "2.4.4", + "dialect": "spark", + }, + ) + assert response.status_code == 201 + + response = await isolated_client.post( + "/engines/", + json={ + "name": "spark-foo", + "version": "3.3.0", + "dialect": "spark", + }, + ) + assert response.status_code == 201 + + response = await isolated_client.post( + "/engines/", + json={ + "name": "spark-foo", + "version": "3.3.1", + "dialect": "spark", + }, + ) + assert response.status_code == 201 + + response = await isolated_client.get("/engines/") + assert response.status_code == 200 + data = [engine for engine in response.json() if engine["name"] == "spark-foo"] + assert data == [ + { + "name": "spark-foo", + "uri": None, + "version": "2.4.4", + "dialect": "spark", + }, + { + "name": "spark-foo", + "uri": None, + "version": "3.3.0", + "dialect": "spark", + }, + { + "name": "spark-foo", + "uri": None, + "version": "3.3.1", + "dialect": "spark", + }, + ] + + +@pytest.mark.asyncio +async def test_engine_get_engine( + isolated_client: AsyncClient, + clean_dialect_registry, +) -> None: + """ + Test getting an engine + """ + response = await isolated_client.post( + "/engines/", + json={ + "name": "spark-two", + "version": "3.3.1", + "dialect": "spark", + }, + ) + assert response.status_code == 201 + + response = await isolated_client.get( + "/engines/spark-two/3.3.1", + ) + assert response.status_code == 200 + data = response.json() + assert data == { + "name": "spark-two", + "uri": None, + "version": "3.3.1", + "dialect": "spark", + } + + +@pytest.mark.asyncio +async def test_engine_raise_on_engine_already_exists( + isolated_client: AsyncClient, + clean_dialect_registry, +) -> None: + """ + Test raise on engine already exists + """ + response = await isolated_client.post( + "/engines/", + json={ + "name": "spark-three", + "version": "3.3.1", + "dialect": "spark", + }, + ) + assert response.status_code == 201 + + response = await isolated_client.post( + "/engines/", + json={ + "name": "spark-three", + "version": "3.3.1", + "dialect": "spark", + }, + ) + assert response.status_code == 409 + data = response.json() + assert data == {"detail": "Engine already exists: `spark-three` version `3.3.1`"} + + +@pytest.mark.asyncio +async def test_dialects_list( + isolated_client: AsyncClient, + clean_dialect_registry, +) -> None: + """ + Test listing dialects + """ + response = await isolated_client.get("/dialects/") + assert response.status_code == 200 + assert response.json() == [ + { + "name": "spark", + "plugin_class": "SQLTranspilationPlugin", + }, + { + "name": "trino", + "plugin_class": "SQLTranspilationPlugin", + }, + { + "name": "sqlite", + "plugin_class": "SQLGlotTranspilationPlugin", + }, + { + "name": "snowflake", + "plugin_class": "SQLGlotTranspilationPlugin", + }, + { + "name": "redshift", + "plugin_class": "SQLGlotTranspilationPlugin", + }, + { + "name": "postgres", + "plugin_class": "SQLGlotTranspilationPlugin", + }, + { + "name": "duckdb", + "plugin_class": "SQLGlotTranspilationPlugin", + }, + { + "name": "druid", + "plugin_class": "SQLTranspilationPlugin", + }, + { + "name": "clickhouse", + "plugin_class": "SQLGlotTranspilationPlugin", + }, + ] diff --git a/datajunction-server/tests/api/files/client_test/create_cube.repairs_cube.namespace.txt b/datajunction-server/tests/api/files/client_test/create_cube.repairs_cube.namespace.txt new file mode 100644 index 000000000..cdb406db2 --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/create_cube.repairs_cube.namespace.txt @@ -0,0 +1,16 @@ +repairs_cube = dj.create_cube( + name=f"{namespace}.repairs_cube", + display_name="Repairs Cube", + description="""Cube of various metrics related to repairs""", + dimensions=[ + "default.hard_hat.country", + "default.hard_hat.city", + ], + metrics=[ + f"{namespace}.num_repair_orders", + f"{namespace}.total_repair_cost", + ], + mode="published", + tags=[], + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/create_cube.repairs_cube.txt b/datajunction-server/tests/api/files/client_test/create_cube.repairs_cube.txt new file mode 100644 index 000000000..85c8fced6 --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/create_cube.repairs_cube.txt @@ -0,0 +1,16 @@ +repairs_cube = dj.create_cube( + name="default.repairs_cube", + display_name="Repairs Cube", + description="""Cube of various metrics related to repairs""", + dimensions=[ + "default.hard_hat.country", + "default.hard_hat.city", + ], + metrics=[ + "default.num_repair_orders", + "default.total_repair_cost", + ], + mode="published", + tags=[], + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/create_dimension.repair_order.namespace.txt b/datajunction-server/tests/api/files/client_test/create_dimension.repair_order.namespace.txt new file mode 100644 index 000000000..c0bd0d5ef --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/create_dimension.repair_order.namespace.txt @@ -0,0 +1,19 @@ +repair_order = dj.create_dimension( + name=f"{namespace}.repair_order", + display_name="Repair Order", + description="""Repair order dimension""", + mode="published", + primary_key=[ + "repair_order_id", + ], + tags=[], + query=f"""SELECT repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM {namespace}.repair_orders""", + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/create_dimension.repair_order.txt b/datajunction-server/tests/api/files/client_test/create_dimension.repair_order.txt new file mode 100644 index 000000000..ab62883b7 --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/create_dimension.repair_order.txt @@ -0,0 +1,20 @@ +repair_order = dj.create_dimension( + name="default.repair_order", + display_name="Repair Order", + description="""Repair order dimension""", + mode="published", + primary_key=[ + "repair_order_id", + ], + tags=[], + query="""SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM default.repair_orders""", + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/create_metric.num_repair_orders.namespace.txt b/datajunction-server/tests/api/files/client_test/create_metric.num_repair_orders.namespace.txt new file mode 100644 index 000000000..562336d2a --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/create_metric.num_repair_orders.namespace.txt @@ -0,0 +1,13 @@ +num_repair_orders = dj.create_metric( + name=f"{namespace}.num_repair_orders", + display_name="Num Repair Orders", + description="""Number of repair orders""", + mode="published", + required_dimensions=[], + tags=[], + query=f"""SELECT count(repair_order_id) + FROM {namespace}.repair_orders_fact""", + direction=MetricDirection.HIGHER_IS_BETTER, + unit=MetricUnit.DOLLAR, + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/create_metric.num_repair_orders.txt b/datajunction-server/tests/api/files/client_test/create_metric.num_repair_orders.txt new file mode 100644 index 000000000..8675f99fc --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/create_metric.num_repair_orders.txt @@ -0,0 +1,12 @@ +num_repair_orders = dj.create_metric( + name="default.num_repair_orders", + display_name="Num Repair Orders", + description="""Number of repair orders""", + mode="published", + required_dimensions=[], + tags=[], + query="""SELECT count(repair_order_id) FROM default.repair_orders_fact""", + direction=MetricDirection.HIGHER_IS_BETTER, + unit=MetricUnit.DOLLAR, + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/create_transform.regional_level_agg.namespace.txt b/datajunction-server/tests/api/files/client_test/create_transform.regional_level_agg.namespace.txt new file mode 100644 index 000000000..6dadd8fe7 --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/create_transform.regional_level_agg.namespace.txt @@ -0,0 +1,52 @@ +regional_level_agg = dj.create_transform( + name=f"{namespace}.regional_level_agg", + display_name="Regional Level Agg", + description="""Regional-level aggregates""", + mode="published", + primary_key=[ + "us_region_id", + "state_name", + "order_year", + "order_month", + "order_day", + ], + tags=[], + query=f"""WITH +ro AS ( +SELECT repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM {namespace}.repair_orders +) + +SELECT usr.us_region_id, + us.state_name, + CONCAT(us.state_name, '-', usr.us_region_description) AS location_hierarchy, + EXTRACT(YEAR, ro.order_date) AS order_year, + EXTRACT(MONTH, ro.order_date) AS order_month, + EXTRACT(DAY, ro.order_date) AS order_day, + COUNT( DISTINCT CASE + WHEN ro.dispatched_date IS NOT NULL THEN ro.repair_order_id + ELSE NULL + END) AS completed_repairs, + COUNT( DISTINCT ro.repair_order_id) AS total_repairs_dispatched, + SUM(rd.price * rd.quantity) AS total_amount_in_region, + AVG(rd.price * rd.quantity) AS avg_repair_amount_in_region, + AVG(DATEDIFF(ro.dispatched_date, ro.order_date)) AS avg_dispatch_delay, + COUNT( DISTINCT c.contractor_id) AS unique_contractors + FROM ro JOIN {namespace}.municipality m ON ro.municipality_id = m.municipality_id +JOIN {namespace}.us_states us ON m.state_id = us.state_id AND AVG(rd.price * rd.quantity) > (SELECT AVG(price * quantity) + FROM {namespace}.repair_order_details + WHERE repair_order_id = ro.repair_order_id) +JOIN {namespace}.us_states us ON m.state_id = us.state_id +JOIN {namespace}.us_region usr ON us.state_region = usr.us_region_id +JOIN {namespace}.repair_order_details rd ON ro.repair_order_id = rd.repair_order_id +JOIN {namespace}.repair_type rt ON rd.repair_type_id = rt.repair_type_id +JOIN {namespace}.contractors c ON rt.contractor_id = c.contractor_id + GROUP BY usr.us_region_id, EXTRACT(YEAR, ro.order_date), EXTRACT(MONTH, ro.order_date), EXTRACT(DAY, ro.order_date)""", + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/create_transform.regional_level_agg.txt b/datajunction-server/tests/api/files/client_test/create_transform.regional_level_agg.txt new file mode 100644 index 000000000..77a1260dd --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/create_transform.regional_level_agg.txt @@ -0,0 +1,60 @@ +regional_level_agg = dj.create_transform( + name="default.regional_level_agg", + display_name="Regional Level Agg", + description="""Regional-level aggregates""", + mode="published", + primary_key=[ + "us_region_id", + "state_name", + "order_year", + "order_month", + "order_day", + ], + tags=[], + query="""WITH ro as (SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM default.repair_orders) + SELECT + usr.us_region_id, + us.state_name, + CONCAT(us.state_name, '-', usr.us_region_description) AS location_hierarchy, + EXTRACT(YEAR FROM ro.order_date) AS order_year, + EXTRACT(MONTH FROM ro.order_date) AS order_month, + EXTRACT(DAY FROM ro.order_date) AS order_day, + COUNT(DISTINCT CASE WHEN ro.dispatched_date IS NOT NULL THEN ro.repair_order_id ELSE NULL END) AS completed_repairs, + COUNT(DISTINCT ro.repair_order_id) AS total_repairs_dispatched, + SUM(rd.price * rd.quantity) AS total_amount_in_region, + AVG(rd.price * rd.quantity) AS avg_repair_amount_in_region, + -- ELEMENT_AT(ARRAY_SORT(COLLECT_LIST(STRUCT(COUNT(*) AS cnt, rt.repair_type_name AS repair_type_name)), (left, right) -> case when left.cnt < right.cnt then 1 when left.cnt > right.cnt then -1 else 0 end), 0).repair_type_name AS most_common_repair_type, + AVG(DATEDIFF(ro.dispatched_date, ro.order_date)) AS avg_dispatch_delay, + COUNT(DISTINCT c.contractor_id) AS unique_contractors +FROM ro +JOIN + default.municipality m ON ro.municipality_id = m.municipality_id +JOIN + default.us_states us ON m.state_id = us.state_id + AND AVG(rd.price * rd.quantity) > + (SELECT AVG(price * quantity) FROM default.repair_order_details WHERE repair_order_id = ro.repair_order_id) +JOIN + default.us_states us ON m.state_id = us.state_id +JOIN + default.us_region usr ON us.state_region = usr.us_region_id +JOIN + default.repair_order_details rd ON ro.repair_order_id = rd.repair_order_id +JOIN + default.repair_type rt ON rd.repair_type_id = rt.repair_type_id +JOIN + default.contractors c ON rt.contractor_id = c.contractor_id +GROUP BY + usr.us_region_id, + EXTRACT(YEAR FROM ro.order_date), + EXTRACT(MONTH FROM ro.order_date), + EXTRACT(DAY FROM ro.order_date)""", + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/dimension_links.repair_orders.namespace.txt b/datajunction-server/tests/api/files/client_test/dimension_links.repair_orders.namespace.txt new file mode 100644 index 000000000..9d01dae8c --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/dimension_links.repair_orders.namespace.txt @@ -0,0 +1,13 @@ +repair_orders = dj.node("default.repair_orders") + +repair_orders.link_complex_dimension( + dimension_node=f"{namespace}.repair_order", + join_on=f"{namespace}.repair_orders.repair_order_id = {namespace}.repair_order.repair_order_id", + join_type="inner", +) + +repair_orders.link_complex_dimension( + dimension_node=f"{namespace}.dispatcher", + join_on=f"{namespace}.repair_orders.dispatcher_id = {namespace}.dispatcher.dispatcher_id", + join_type="inner", +) diff --git a/datajunction-server/tests/api/files/client_test/dimension_links.repair_orders.txt b/datajunction-server/tests/api/files/client_test/dimension_links.repair_orders.txt new file mode 100644 index 000000000..b0fa8da37 --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/dimension_links.repair_orders.txt @@ -0,0 +1,13 @@ +repair_orders = dj.node("default.repair_orders") + +repair_orders.link_complex_dimension( + dimension_node=f"default.repair_order", + join_on=f"default.repair_orders.repair_order_id = default.repair_order.repair_order_id", + join_type="inner", +) + +repair_orders.link_complex_dimension( + dimension_node=f"default.dispatcher", + join_on=f"default.repair_orders.dispatcher_id = default.dispatcher.dispatcher_id", + join_type="inner", +) diff --git a/datajunction-server/tests/api/files/client_test/include_client_setup.txt b/datajunction-server/tests/api/files/client_test/include_client_setup.txt new file mode 100644 index 000000000..2760deb4c --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/include_client_setup.txt @@ -0,0 +1,22 @@ +from datajunction import ( + DJBuilder, Source, Dimension, Transform, Metric, + Namespace, MetricUnit, MetricDirection, ColumnAttribute, +) + +DJ_URL = "http://test" + +dj = DJBuilder(DJ_URL) +dj.basic_login("dj", "dj") + +num_repair_orders = dj.create_metric( + name="default.num_repair_orders", + display_name="Num Repair Orders", + description="""Number of repair orders""", + mode="published", + required_dimensions=[], + tags=[], + query="""SELECT count(repair_order_id) FROM default.repair_orders_fact""", + direction=MetricDirection.HIGHER_IS_BETTER, + unit=MetricUnit.DOLLAR, + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/notebook.create_cube.txt b/datajunction-server/tests/api/files/client_test/notebook.create_cube.txt new file mode 100644 index 000000000..8b77beca1 --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/notebook.create_cube.txt @@ -0,0 +1,16 @@ +roads_cube = dj.create_cube( + name=f"{NAMESPACE_MAPPING['default']}.roads_cube", + display_name="Roads Cube", + description="""Cube of various metrics related to repairs""", + dimensions=[ + "default.hard_hat.country", + "default.hard_hat.city", + ], + metrics=[ + f"{NAMESPACE_MAPPING['default']}.num_repair_orders", + f"{NAMESPACE_MAPPING['default']}.total_repair_cost", + ], + mode="published", + tags=[], + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/notebook.create_transform.txt b/datajunction-server/tests/api/files/client_test/notebook.create_transform.txt new file mode 100644 index 000000000..da37bc1bf --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/notebook.create_transform.txt @@ -0,0 +1,24 @@ +repair_orders_fact = dj.create_transform( + name=f"{NAMESPACE_MAPPING['default']}.repair_orders_fact", + display_name="Repair Orders Fact", + description="""Fact transform with all details on repair orders""", + mode="published", + primary_key=[], + tags=[], + query=f"""SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM {NAMESPACE_MAPPING['default']}.repair_orders repair_orders JOIN {NAMESPACE_MAPPING['default']}.repair_order_details repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id""", + update_if_exists=True, +) diff --git a/datajunction-server/tests/api/files/client_test/notebook.link_dimension.txt b/datajunction-server/tests/api/files/client_test/notebook.link_dimension.txt new file mode 100644 index 000000000..b96de9a3c --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/notebook.link_dimension.txt @@ -0,0 +1,5 @@ +repair_order_details.link_complex_dimension( + dimension_node=f"{NAMESPACE_MAPPING['default']}.repair_order", + join_on=f"{NAMESPACE_MAPPING['default']}.repair_order_details.repair_order_id = {NAMESPACE_MAPPING['default']}.repair_order.repair_order_id", + join_type="inner", +) diff --git a/datajunction-server/tests/api/files/client_test/notebook.set_attribute.txt b/datajunction-server/tests/api/files/client_test/notebook.set_attribute.txt new file mode 100644 index 000000000..79ddd29f8 --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/notebook.set_attribute.txt @@ -0,0 +1,6 @@ +repair_order_details.set_column_attributes( + "repair_type_id", + [ + ColumnAttribute(namespace="system", name="dimension"), + ], +) diff --git a/datajunction-server/tests/api/files/client_test/register_table.txt b/datajunction-server/tests/api/files/client_test/register_table.txt new file mode 100644 index 000000000..539158956 --- /dev/null +++ b/datajunction-server/tests/api/files/client_test/register_table.txt @@ -0,0 +1,5 @@ +dj.register_table( + catalog="default", + schema="roads", + table="repair_order_details", +) diff --git a/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.druid_spec.json b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.druid_spec.json new file mode 100644 index 000000000..38729435c --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.druid_spec.json @@ -0,0 +1,49 @@ +{ + "dataSchema":{ + "dataSource":"default_DOT_repairs_cube", + "granularitySpec":{ + "intervals":[ + + ], + "segmentGranularity":"DAY", + "type":"uniform" + }, + "metricsSpec":[ + { + "fieldName":"default_DOT_repair_orders_fact_DOT_repair_order_id", + "name":"default_DOT_repair_orders_fact_DOT_repair_order_id", + "type":"longSum" + }, + { + "fieldName":"default_DOT_repair_orders_fact_DOT_total_repair_cost", + "name":"default_DOT_repair_orders_fact_DOT_total_repair_cost", + "type":"floatSum" + } + ], + "parser":{ + "parseSpec":{ + "dimensionsSpec":{ + "dimensions":[ + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_hard_hat_DOT_state", + "default_DOT_municipality_dim_DOT_local_region", + "default_DOT_repair_orders_fact_DOT_order_date" + ] + }, + "format":"parquet", + "timestampSpec":{ + "column":"default_DOT_repair_orders_fact_DOT_order_date", + "format":"yyyyMMdd" + } + } + } + }, + "tuningConfig":{ + "partitionsSpec":{ + "targetPartitionSize":5000000, + "type":"hashed" + }, + "type":"hadoop", + "useCombiner":true + } +} diff --git a/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.partition.druid_spec.json b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.partition.druid_spec.json new file mode 100644 index 000000000..38729435c --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.partition.druid_spec.json @@ -0,0 +1,49 @@ +{ + "dataSchema":{ + "dataSource":"default_DOT_repairs_cube", + "granularitySpec":{ + "intervals":[ + + ], + "segmentGranularity":"DAY", + "type":"uniform" + }, + "metricsSpec":[ + { + "fieldName":"default_DOT_repair_orders_fact_DOT_repair_order_id", + "name":"default_DOT_repair_orders_fact_DOT_repair_order_id", + "type":"longSum" + }, + { + "fieldName":"default_DOT_repair_orders_fact_DOT_total_repair_cost", + "name":"default_DOT_repair_orders_fact_DOT_total_repair_cost", + "type":"floatSum" + } + ], + "parser":{ + "parseSpec":{ + "dimensionsSpec":{ + "dimensions":[ + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_hard_hat_DOT_state", + "default_DOT_municipality_dim_DOT_local_region", + "default_DOT_repair_orders_fact_DOT_order_date" + ] + }, + "format":"parquet", + "timestampSpec":{ + "column":"default_DOT_repair_orders_fact_DOT_order_date", + "format":"yyyyMMdd" + } + } + } + }, + "tuningConfig":{ + "partitionsSpec":{ + "targetPartitionSize":5000000, + "type":"hashed" + }, + "type":"hadoop", + "useCombiner":true + } +} diff --git a/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.partition.query.sql b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.partition.query.sql new file mode 100644 index 000000000..ff47d1362 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.partition.query.sql @@ -0,0 +1,48 @@ +WITH +default_DOT_repair_orders_fact AS (SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region + FROM (SELECT default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.dispatcher_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_order_details.discount, + default_DOT_repair_order_details.price, + default_DOT_repair_order_details.quantity, + default_DOT_repair_order_details.repair_type_id, + default_DOT_repair_order_details.price * default_DOT_repair_order_details.quantity AS total_repair_cost, + default_DOT_repair_orders.dispatched_date - default_DOT_repair_orders.order_date AS time_to_dispatch, + default_DOT_repair_orders.dispatched_date - default_DOT_repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS default_DOT_repair_orders JOIN roads.repair_order_details AS default_DOT_repair_order_details ON default_DOT_repair_orders.repair_order_id = default_DOT_repair_order_details.repair_order_id) AS default_DOT_repair_orders_fact LEFT JOIN (SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name + FROM roads.dispatchers AS default_DOT_dispatchers) AS default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id +LEFT JOIN (SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.state + FROM roads.hard_hats AS default_DOT_hard_hats) AS default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id +LEFT JOIN (SELECT default_DOT_municipality.municipality_id AS municipality_id, + default_DOT_municipality.local_region + FROM roads.municipality AS default_DOT_municipality LEFT JOIN roads.municipality_municipality_type AS default_DOT_municipality_municipality_type ON default_DOT_municipality.municipality_id = default_DOT_municipality_municipality_type.municipality_id +LEFT JOIN roads.municipality_type AS default_DOT_municipality_type ON default_DOT_municipality_municipality_type.municipality_type_id = default_DOT_municipality_type.municipality_type_desc) AS default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id), +combiner_query AS (SELECT default_DOT_repair_orders_fact.default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_repair_orders_fact.default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.default_DOT_hard_hat_DOT_state, + default_DOT_repair_orders_fact.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact.default_DOT_municipality_dim_DOT_local_region, + CAST(CAST(default_DOT_repair_orders_fact.default_DOT_repair_orders_fact_DOT_order_date AS DOUBLE) * 1000 AS LONG) timestamp_column + FROM default_DOT_repair_orders_fact) + +SELECT default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim_DOT_local_region, + timestamp_column + FROM combiner_query diff --git a/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.query.sql b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.query.sql new file mode 100644 index 000000000..366ae99fa --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.full.query.sql @@ -0,0 +1,69 @@ + WITH + default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_municipality_dim AS ( + SELECT m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ), + combiner_query AS ( + SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + ) + SELECT default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim_DOT_local_region + FROM combiner_query diff --git a/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.categorical.query.sql b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.categorical.query.sql new file mode 100644 index 000000000..5da383dfa --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.categorical.query.sql @@ -0,0 +1,71 @@ + WITH + default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + WHERE repair_orders.order_date = ${dj_logical_timestamp} + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_municipality_dim AS ( + SELECT m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ), + combiner_query AS ( + SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + ) + SELECT default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim_DOT_local_region + FROM combiner_query + WHERE default_DOT_repair_orders_fact_DOT_order_date = CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) AND default_DOT_dispatcher_DOT_company_name = CAST(DJ_COMPANY_NAME() AS STRING) diff --git a/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.druid_spec.json b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.druid_spec.json new file mode 100644 index 000000000..25b7b4daa --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.druid_spec.json @@ -0,0 +1,49 @@ +{ + "dataSchema":{ + "dataSource":"default_DOT_repairs_cube__incremental", + "granularitySpec":{ + "intervals":[ + + ], + "segmentGranularity":"DAY", + "type":"uniform" + }, + "metricsSpec":[ + { + "fieldName":"default_DOT_repair_orders_fact_DOT_repair_order_id", + "name":"default_DOT_repair_orders_fact_DOT_repair_order_id", + "type":"longSum" + }, + { + "fieldName":"default_DOT_repair_orders_fact_DOT_total_repair_cost", + "name":"default_DOT_repair_orders_fact_DOT_total_repair_cost", + "type":"floatSum" + } + ], + "parser":{ + "parseSpec":{ + "dimensionsSpec":{ + "dimensions":[ + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_hard_hat_DOT_state", + "default_DOT_municipality_dim_DOT_local_region", + "default_DOT_repair_orders_fact_DOT_order_date" + ] + }, + "format":"parquet", + "timestampSpec":{ + "column":"default_DOT_repair_orders_fact_DOT_order_date", + "format":"yyyyMMdd" + } + } + } + }, + "tuningConfig":{ + "partitionsSpec":{ + "targetPartitionSize":5000000, + "type":"hashed" + }, + "type":"hadoop", + "useCombiner":true + } +} diff --git a/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.patched.query.sql b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.patched.query.sql new file mode 100644 index 000000000..0d9c2fd05 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.patched.query.sql @@ -0,0 +1,71 @@ + WITH + default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + WHERE repair_orders.order_date = ${dj_logical_timestamp} + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_municipality_dim AS ( + SELECT m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ), + combiner_query AS ( + SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + ) + SELECT default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim_DOT_local_region + FROM combiner_query + WHERE default_DOT_repair_orders_fact_DOT_order_date = CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) diff --git a/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.query.sql b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.query.sql new file mode 100644 index 000000000..c901e369c --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_measures_cube.incremental.query.sql @@ -0,0 +1,70 @@ + WITH + default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_municipality_dim AS ( + SELECT m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ), + combiner_query AS ( + SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + ) + SELECT default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim_DOT_local_region + FROM combiner_query + WHERE default_DOT_repair_orders_fact_DOT_order_date = CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) diff --git a/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.categorical.query.sql b/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.categorical.query.sql new file mode 100644 index 000000000..6dabc7cd8 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.categorical.query.sql @@ -0,0 +1,72 @@ + WITH + default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + WHERE repair_orders.order_date = ${dj_logical_timestamp} + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_municipality_dim AS ( + SELECT m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ), + combiner_query AS ( + SELECT default_DOT_repair_orders_fact.order_date AS default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_hard_hat.state AS default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name AS default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region AS default_DOT_municipality_dim_DOT_local_region, + COUNT(default_DOT_repair_orders_fact.repair_order_id) AS default_DOT_num_repair_orders, + SUM(default_DOT_repair_orders_fact.total_repair_cost) AS default_DOT_total_repair_cost + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + GROUP BY default_DOT_repair_orders_fact.order_date, default_DOT_hard_hat.state, default_DOT_dispatcher.company_name, default_DOT_municipality_dim.local_region + ) + SELECT default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim_DOT_local_region, + default_DOT_num_repair_orders, + default_DOT_total_repair_cost + FROM combiner_query + WHERE default_DOT_repair_orders_fact_DOT_order_date = CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) AND default_DOT_hard_hat_DOT_state = CAST(DJ_STATE() AS STRING) diff --git a/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.druid_spec.json b/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.druid_spec.json new file mode 100644 index 000000000..b897bc93c --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.druid_spec.json @@ -0,0 +1,49 @@ +{ + "dataSchema":{ + "dataSource":"default_DOT_repairs_cube__metrics_incremental", + "parser":{ + "parseSpec":{ + "format":"parquet", + "dimensionsSpec":{ + "dimensions":[ + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_hard_hat_DOT_state", + "default_DOT_municipality_dim_DOT_local_region", + "default_DOT_repair_orders_fact_DOT_order_date" + ] + }, + "timestampSpec":{ + "column":"default_DOT_repair_orders_fact_DOT_order_date", + "format":"yyyyMMdd" + } + } + }, + "metricsSpec":[ + { + "fieldName":"default_DOT_num_repair_orders", + "name":"default_DOT_num_repair_orders", + "type":"longSum" + }, + { + "fieldName":"default_DOT_total_repair_cost", + "name":"default_DOT_total_repair_cost", + "type":"doubleSum" + } + ], + "granularitySpec":{ + "type":"uniform", + "segmentGranularity":"DAY", + "intervals":[ + + ] + } + }, + "tuningConfig":{ + "partitionsSpec":{ + "targetPartitionSize":5000000, + "type":"hashed" + }, + "useCombiner":true, + "type":"hadoop" + } +} diff --git a/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.query.sql b/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.query.sql new file mode 100644 index 000000000..ac29b8465 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/druid_metrics_cube.incremental.query.sql @@ -0,0 +1,72 @@ + WITH + default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + WHERE repair_orders.order_date = ${dj_logical_timestamp} + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_municipality_dim AS ( + SELECT m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ), + combiner_query AS ( + SELECT default_DOT_repair_orders_fact.order_date AS default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_hard_hat.state AS default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name AS default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region AS default_DOT_municipality_dim_DOT_local_region, + COUNT(default_DOT_repair_orders_fact.repair_order_id) AS default_DOT_num_repair_orders, + SUM(default_DOT_repair_orders_fact.total_repair_cost) AS default_DOT_total_repair_cost + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + GROUP BY default_DOT_repair_orders_fact.order_date, default_DOT_hard_hat.state, default_DOT_dispatcher.company_name, default_DOT_municipality_dim.local_region + ) + SELECT default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim_DOT_local_region, + default_DOT_num_repair_orders, + default_DOT_total_repair_cost + FROM combiner_query + WHERE default_DOT_repair_orders_fact_DOT_order_date = CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.full.config.json b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.config.json new file mode 100644 index 000000000..c4b4569a3 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.config.json @@ -0,0 +1,126 @@ +[ + { + "backfills":[], + "config":{ + "columns":[ + { + "column": null, + "name":"hard_hat_id", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + }, + { + "column": null, + "name":"last_name", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"first_name", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"title", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"birth_date", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"timestamp" + }, + { + "column": null, + "name":"hire_date", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"timestamp" + }, + { + "column": null, + "name":"address", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"city", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"state", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"postal_code", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"country", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"manager", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + }, + { + "column": null, + "name":"contractor_id", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + } + ], + "lookback_window": null, + "spark":{ + + }, + "upstream_tables":[ + "default.roads.hard_hats" + ] + }, + "deactivated_at": null, + "job":"SparkSqlMaterializationJob", + "node_revision_id": 42, + "name":"spark_sql__full", + "schedule":"0 * * * *", + "strategy":"full" + } +] diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.full.materializations.json b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.materializations.json new file mode 100644 index 000000000..e0392918f --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.materializations.json @@ -0,0 +1,134 @@ +{ + "name":"spark_sql__full", + "config":{ + "spark":{ + + }, + "lookback_window": null, + "query":"SELECT default_DOT_hard_hat.hard_hat_id,\n\tdefault_DOT_hard_hat.last_name,\n\tdefault_DOT_hard_hat.first_name,\n\tdefault_DOT_hard_hat.title,\n\tdefault_DOT_hard_hat.birth_date,\n\tdefault_DOT_hard_hat.hire_date,\n\tdefault_DOT_hard_hat.address,\n\tdefault_DOT_hard_hat.city,\n\tdefault_DOT_hard_hat.state,\n\tdefault_DOT_hard_hat.postal_code,\n\tdefault_DOT_hard_hat.country,\n\tdefault_DOT_hard_hat.manager,\n\tdefault_DOT_hard_hat.contractor_id \n FROM (SELECT default_DOT_hard_hats.hard_hat_id,\n\tdefault_DOT_hard_hats.last_name,\n\tdefault_DOT_hard_hats.first_name,\n\tdefault_DOT_hard_hats.title,\n\tdefault_DOT_hard_hats.birth_date,\n\tdefault_DOT_hard_hats.hire_date,\n\tdefault_DOT_hard_hats.address,\n\tdefault_DOT_hard_hats.city,\n\tdefault_DOT_hard_hats.state,\n\tdefault_DOT_hard_hats.postal_code,\n\tdefault_DOT_hard_hats.country,\n\tdefault_DOT_hard_hats.manager,\n\tdefault_DOT_hard_hats.contractor_id \n FROM roads.hard_hats AS default_DOT_hard_hats) AS default_DOT_hard_hat\n\n", + "columns":[ + { + "name":"hard_hat_id", + "type":"int", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"last_name", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"first_name", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"title", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"birth_date", + "type":"timestamp", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"hire_date", + "type":"timestamp", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"address", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"city", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"state", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"postal_code", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"country", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"manager", + "type":"int", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"contractor_id", + "type":"int", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + } + ], + "upstream_tables":[ + "default.roads.hard_hats" + ] + }, + "deactivated_at": null, + "schedule":"0 * * * *", + "job":"SparkSqlMaterializationJob", + "node_revision_id": 42, + "backfills":[ + + ], + "strategy":"full", + "output_tables":[ + "common.a", + "common.b" + ], + "urls":[ + "http://fake.url/job" + ] +} diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.config.json b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.config.json new file mode 100644 index 000000000..92acc8a0e --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.config.json @@ -0,0 +1,126 @@ +{ + "backfills":[ + + ], + "config":{ + "columns":[ + { + "column": null, + "name":"hard_hat_id", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + }, + { + "column": null, + "name":"last_name", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"first_name", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"title", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"birth_date", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"timestamp" + }, + { + "column": null, + "name":"hire_date", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"timestamp" + }, + { + "column": null, + "name":"address", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"city", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"state", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"postal_code", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"country", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"manager", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + }, + { + "column": null, + "name":"contractor_id", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + } + ], + "lookback_window": null, + "spark":{ + + }, + "upstream_tables":[ + "default.roads.hard_hats" + ] + }, + "deactivated_at": null, + "job":"SparkSqlMaterializationJob", + "name":"spark_sql__full__birth_date__country", + "node_revision_id": 42, + "schedule":"0 * * * *", + "strategy":"full" +} diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.materializations.json b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.materializations.json new file mode 100644 index 000000000..65b3cbb27 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.materializations.json @@ -0,0 +1,134 @@ +{ + "name":"spark_sql__full__birth_date__country", + "config":{ + "spark":{ + + }, + "lookback_window": null, + "query":"SELECT default_DOT_hard_hat.hard_hat_id,\n\tdefault_DOT_hard_hat.last_name,\n\tdefault_DOT_hard_hat.first_name,\n\tdefault_DOT_hard_hat.title,\n\tdefault_DOT_hard_hat.birth_date,\n\tdefault_DOT_hard_hat.hire_date,\n\tdefault_DOT_hard_hat.address,\n\tdefault_DOT_hard_hat.city,\n\tdefault_DOT_hard_hat.state,\n\tdefault_DOT_hard_hat.postal_code,\n\tdefault_DOT_hard_hat.country,\n\tdefault_DOT_hard_hat.manager,\n\tdefault_DOT_hard_hat.contractor_id \n FROM (SELECT default_DOT_hard_hats.hard_hat_id,\n\tdefault_DOT_hard_hats.last_name,\n\tdefault_DOT_hard_hats.first_name,\n\tdefault_DOT_hard_hats.title,\n\tdefault_DOT_hard_hats.birth_date,\n\tdefault_DOT_hard_hats.hire_date,\n\tdefault_DOT_hard_hats.address,\n\tdefault_DOT_hard_hats.city,\n\tdefault_DOT_hard_hats.state,\n\tdefault_DOT_hard_hats.postal_code,\n\tdefault_DOT_hard_hats.country,\n\tdefault_DOT_hard_hats.manager,\n\tdefault_DOT_hard_hats.contractor_id \n FROM roads.hard_hats AS default_DOT_hard_hats) AS default_DOT_hard_hat\n\n", + "columns":[ + { + "name":"hard_hat_id", + "type":"int", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"last_name", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"first_name", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"title", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"birth_date", + "type":"timestamp", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"hire_date", + "type":"timestamp", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"address", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"city", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"state", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"postal_code", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"country", + "type":"string", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"manager", + "type":"int", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + }, + { + "name":"contractor_id", + "type":"int", + "column": null, + "node": null, + "semantic_entity": null, + "semantic_type": null + } + ], + "upstream_tables":[ + "default.roads.hard_hats" + ] + }, + "deactivated_at": null, + "schedule":"0 * * * *", + "job":"SparkSqlMaterializationJob", + "node_revision_id": 42, + "backfills":[ + + ], + "strategy":"full", + "output_tables":[ + "common.a", + "common.b" + ], + "urls":[ + "http://fake.url/job" + ] +} diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.query.sql b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.query.sql new file mode 100644 index 000000000..0482317ab --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.partition.query.sql @@ -0,0 +1,31 @@ +WITH +default_DOT_hard_hat AS ( +SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats +) +SELECT default_DOT_hard_hat.hard_hat_id, + default_DOT_hard_hat.last_name, + default_DOT_hard_hat.first_name, + default_DOT_hard_hat.title, + default_DOT_hard_hat.birth_date, + default_DOT_hard_hat.hire_date, + default_DOT_hard_hat.address, + default_DOT_hard_hat.city, + default_DOT_hard_hat.state, + default_DOT_hard_hat.postal_code, + default_DOT_hard_hat.country, + default_DOT_hard_hat.manager, + default_DOT_hard_hat.contractor_id + FROM default_DOT_hard_hat diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.full.query.sql b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.query.sql new file mode 100644 index 000000000..0482317ab --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.full.query.sql @@ -0,0 +1,31 @@ +WITH +default_DOT_hard_hat AS ( +SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats +) +SELECT default_DOT_hard_hat.hard_hat_id, + default_DOT_hard_hat.last_name, + default_DOT_hard_hat.first_name, + default_DOT_hard_hat.title, + default_DOT_hard_hat.birth_date, + default_DOT_hard_hat.hire_date, + default_DOT_hard_hat.address, + default_DOT_hard_hat.city, + default_DOT_hard_hat.state, + default_DOT_hard_hat.postal_code, + default_DOT_hard_hat.country, + default_DOT_hard_hat.manager, + default_DOT_hard_hat.contractor_id + FROM default_DOT_hard_hat diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.additional.query.sql b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.additional.query.sql new file mode 100644 index 000000000..4246f5cb1 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.additional.query.sql @@ -0,0 +1,17 @@ +WITH default_DOT_hard_hat_2 AS ( + SELECT + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.country + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE + DATE_FORMAT(default_DOT_hard_hats.birth_date, 'yyyyMMdd') = + DATE_FORMAT(${dj_logical_timestamp}, 'yyyyMMdd') +) +SELECT + default_DOT_hard_hat_2.last_name, + default_DOT_hard_hat_2.first_name, + default_DOT_hard_hat_2.birth_date, + default_DOT_hard_hat_2.country +FROM default_DOT_hard_hat_2 diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.categorical.query.sql b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.categorical.query.sql new file mode 100644 index 000000000..cbd810e3d --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.categorical.query.sql @@ -0,0 +1,16 @@ +WITH +default_DOT_hard_hat_2 AS ( +SELECT default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.country + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE DATE_FORMAT(default_DOT_hard_hats.birth_date, 'yyyyMMdd') = DATE_FORMAT(${dj_logical_timestamp}, 'yyyyMMdd') +) + +SELECT last_name, + first_name, + birth_date, + country +FROM default_DOT_hard_hat_2 +WHERE birth_date = CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) AND country = CAST(${country} AS STRING) diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.config.json b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.config.json new file mode 100644 index 000000000..a03e435a0 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.config.json @@ -0,0 +1,128 @@ +[ + { + "backfills":[ + + ], + "config":{ + "columns":[ + { + "column": null, + "name":"hard_hat_id", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + }, + { + "column": null, + "name":"last_name", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"first_name", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"title", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"birth_date", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"timestamp" + }, + { + "column": null, + "name":"hire_date", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"timestamp" + }, + { + "column": null, + "name":"address", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"city", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"state", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"postal_code", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"country", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"string" + }, + { + "column": null, + "name":"manager", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + }, + { + "column": null, + "name":"contractor_id", + "node": null, + "semantic_entity": null, + "semantic_type": null, + "type":"int" + } + ], + "lookback_window": null, + "spark":{ + + }, + "upstream_tables":[ + "default.roads.hard_hats" + ] + }, + "deactivated_at": null, + "job":"SparkSqlMaterializationJob", + "node_revision_id": 42, + "name":"spark_sql__incremental_time__birth_date", + "schedule":"0 * * * *", + "strategy":"incremental_time" + } +] diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.lookback.query.sql b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.lookback.query.sql new file mode 100644 index 000000000..0a340fd2f --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.lookback.query.sql @@ -0,0 +1,15 @@ +WITH +default_DOT_hard_hat_2 AS ( +SELECT default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.country + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE DATE_FORMAT(default_DOT_hard_hats.birth_date, 'yyyyMMdd') = DATE_FORMAT(${dj_logical_timestamp}, 'yyyyMMdd') +) +SELECT last_name, + first_name, + birth_date, + country + FROM default_DOT_hard_hat_2 + WHERE birth_date BETWEEN CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP) - INTERVAL 100 DAY , 'yyyyMMdd') AS TIMESTAMP) AND CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) AND country = CAST(${country} AS STRING) diff --git a/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.query.sql b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.query.sql new file mode 100644 index 000000000..a1ba29923 --- /dev/null +++ b/datajunction-server/tests/api/files/materializations_test/spark_sql.incremental.query.sql @@ -0,0 +1,32 @@ +WITH +default_DOT_hard_hat_2 AS ( +SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats +) +SELECT hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM default_DOT_hard_hat_2 + WHERE birth_date = CAST(DATE_FORMAT(CAST(${dj_logical_timestamp} AS TIMESTAMP), 'yyyyMMdd') AS TIMESTAMP) diff --git a/datajunction-server/tests/api/graphql/__init__.py b/datajunction-server/tests/api/graphql/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/api/graphql/catalog_test.py b/datajunction-server/tests/api/graphql/catalog_test.py new file mode 100644 index 000000000..b9847aebd --- /dev/null +++ b/datajunction-server/tests/api/graphql/catalog_test.py @@ -0,0 +1,68 @@ +""" +Tests for the catalog API. +""" + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_catalog_list( + client: AsyncClient, +) -> None: + """ + Test listing catalogs + """ + response = await client.post( + "/engines/", + json={ + "name": "spark", + "version": "3.3.1", + "dialect": "spark", + }, + ) + + response = await client.post( + "/catalogs/", + json={ + "name": "dev", + "engines": [ + { + "name": "spark", + "version": "3.3.1", + "dialect": "spark", + }, + ], + }, + ) + + response = await client.post( + "/catalogs/", + json={ + "name": "test", + }, + ) + + response = await client.post( + "/catalogs/", + json={ + "name": "prod", + }, + ) + query = """ + { + listCatalogs{ + name + } + } + """ + + response = await client.post("/graphql", json={"query": query}) + assert response.status_code == 200 + catalog_names = {c["name"] for c in response.json()["data"]["listCatalogs"]} + # These catalogs should be present + assert "default" in catalog_names + assert "dj_metadata" in catalog_names + assert "dev" in catalog_names + assert "test" in catalog_names + assert "prod" in catalog_names diff --git a/datajunction-server/tests/api/graphql/common_dimensions_test.py b/datajunction-server/tests/api/graphql/common_dimensions_test.py new file mode 100644 index 000000000..7aae908c8 --- /dev/null +++ b/datajunction-server/tests/api/graphql/common_dimensions_test.py @@ -0,0 +1,218 @@ +""" +Tests for the common dimensions query. +""" + +from typing import AsyncGenerator + +import pytest +import pytest_asyncio +from httpx import AsyncClient +from sqlalchemy import event +from sqlalchemy.ext.asyncio import AsyncSession + + +@pytest_asyncio.fixture +async def capture_queries( + session: AsyncSession, +) -> AsyncGenerator[list[str], None]: + """ + Returns a list of strings, where each string represents a SQL statement + captured during the test. + """ + queries = [] + sync_engine = session.bind.sync_engine + + def before_cursor_execute( + _conn, + _cursor, + statement, + _parameters, + _context, + _executemany, + ): + queries.append(statement) + + # Attach event listener to capture queries + event.listen(sync_engine, "before_cursor_execute", before_cursor_execute) + + yield queries + + # Detach event listener after the test + event.remove(sync_engine, "before_cursor_execute", before_cursor_execute) + + +@pytest.mark.asyncio +async def test_get_common_dimensions( + client_with_roads: AsyncClient, + capture_queries: AsyncGenerator[ + list[str], + None, + ], +) -> None: + """ + Test getting common dimensions for a set of metrics + """ + + query = """ + { + commonDimensions(nodes: ["default.num_repair_orders", "default.avg_repair_price"]) { + name + type + attribute + properties + role + dimensionNode { + name + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + # With all examples loaded, there may be more common dimensions + assert len(data["data"]["commonDimensions"]) >= 40 + assert { + "attribute": "company_name", + "dimensionNode": { + "name": "default.dispatcher", + }, + "name": "default.dispatcher.company_name", + "properties": [], + "role": None, + "type": "string", + } in data["data"]["commonDimensions"] + + assert { + "attribute": "dispatcher_id", + "dimensionNode": { + "name": "default.dispatcher", + }, + "name": "default.dispatcher.dispatcher_id", + "properties": [ + "primary_key", + ], + "role": None, + "type": "int", + } in data["data"]["commonDimensions"] + assert len(capture_queries) <= 28 # type: ignore + + +@pytest.mark.asyncio +async def test_get_common_dimensions_with_full_dim_node( + client_with_roads: AsyncClient, + capture_queries: AsyncGenerator[ + list[str], + None, + ], +) -> None: + """ + Test getting common dimensions and requesting a full dimension node for each + """ + + query = """ + { + commonDimensions(nodes: ["default.num_repair_orders", "default.avg_repair_price"]) { + name + type + attribute + properties + role + dimensionNode { + name + current { + columns { + name + attributes { + attributeType{ + name + } + } + } + } + tags { + name + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert len(data["data"]["commonDimensions"]) >= 40 + + assert { + "attribute": "state_name", + "dimensionNode": { + "current": { + "columns": [ + { + "attributes": [], + "name": "state_id", + }, + { + "attributes": [], + "name": "state_name", + }, + { + "attributes": [ + { + "attributeType": { + "name": "primary_key", + }, + }, + ], + "name": "state_short", + }, + { + "attributes": [], + "name": "state_region", + }, + ], + }, + "name": "default.us_state", + "tags": [], + }, + "name": "default.us_state.state_name", + "properties": [], + "role": None, + "type": "string", + } in data["data"]["commonDimensions"] + assert len(capture_queries) > 100 # type: ignore + + +@pytest.mark.asyncio +async def test_get_common_dimensions_non_metric_nodes( + client_with_roads: AsyncClient, +): + """ + Test getting common dimensions and requesting a full dimension node for each + """ + + query = """ + { + commonDimensions(nodes: ["default.num_repair_orders", "default.repair_order_fact"]) { + name + type + dimensionNode { + name + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert len(data["data"]["commonDimensions"]) >= 40 + + assert { + "dimensionNode": { + "name": "default.us_state", + }, + "name": "default.us_state.state_name", + "type": "string", + } in data["data"]["commonDimensions"] diff --git a/datajunction-server/tests/api/graphql/downstream_nodes_test.py b/datajunction-server/tests/api/graphql/downstream_nodes_test.py new file mode 100644 index 000000000..a088784a6 --- /dev/null +++ b/datajunction-server/tests/api/graphql/downstream_nodes_test.py @@ -0,0 +1,258 @@ +""" +Tests for the engine API. +""" + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_downstream_nodes( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes by node type + """ + + # of METRIC type + query = """ + { + downstreamNodes(nodeNames: ["default.repair_orders_fact"], nodeType: METRIC) { + name + type + current { + customMetadata + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["downstreamNodes"] == [ + { + "name": "default.num_repair_orders", + "type": "METRIC", + "current": {"customMetadata": {"foo": "bar"}}, + }, + { + "name": "default.avg_repair_price", + "type": "METRIC", + "current": {"customMetadata": None}, + }, + { + "name": "default.total_repair_cost", + "type": "METRIC", + "current": {"customMetadata": None}, + }, + { + "name": "default.discounted_orders_rate", + "type": "METRIC", + "current": {"customMetadata": None}, + }, + { + "name": "default.total_repair_order_discounts", + "type": "METRIC", + "current": {"customMetadata": None}, + }, + { + "name": "default.avg_repair_order_discounts", + "type": "METRIC", + "current": {"customMetadata": None}, + }, + { + "name": "default.avg_time_to_dispatch", + "type": "METRIC", + "current": {"customMetadata": None}, + }, + { + "current": { + "customMetadata": None, + }, + "name": "default.num_unique_hard_hats_approx", + "type": "METRIC", + }, + ] + + # of any type + query = """ + { + downstreamNodes(nodeNames: ["default.repair_order_details"], nodeType: null) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["downstreamNodes"] == [ + {"name": "default.regional_level_agg", "type": "TRANSFORM"}, + {"name": "default.national_level_agg", "type": "TRANSFORM"}, + {"name": "default.repair_orders_fact", "type": "TRANSFORM"}, + {"name": "default.regional_repair_efficiency", "type": "METRIC"}, + {"name": "default.num_repair_orders", "type": "METRIC"}, + {"name": "default.avg_repair_price", "type": "METRIC"}, + {"name": "default.total_repair_cost", "type": "METRIC"}, + {"name": "default.discounted_orders_rate", "type": "METRIC"}, + {"name": "default.total_repair_order_discounts", "type": "METRIC"}, + {"name": "default.avg_repair_order_discounts", "type": "METRIC"}, + {"name": "default.avg_time_to_dispatch", "type": "METRIC"}, + {"name": "default.num_unique_hard_hats_approx", "type": "METRIC"}, + ] + + +@pytest.mark.asyncio +async def test_downstream_nodes_multiple_inputs( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding downstream nodes from multiple input nodes. + """ + query = """ + { + downstreamNodes(nodeNames: ["default.repair_orders", "default.dispatchers"], nodeType: TRANSFORM) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + downstream_names = {node["name"] for node in data["data"]["downstreamNodes"]} + # Should include transforms downstream of both sources + assert "default.repair_orders_fact" in downstream_names + + +@pytest.mark.asyncio +async def test_downstream_nodes_deactivated( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding downstream nodes with and without deactivated nodes. + """ + response = await client_with_roads.delete( + "/nodes/default.num_repair_orders", + ) + assert response.status_code == 200 + + query = """ + { + downstreamNodes(nodeNames: ["default.repair_orders_fact"], nodeType: METRIC, includeDeactivated: false) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["downstreamNodes"] == [ + {"name": "default.avg_repair_price", "type": "METRIC"}, + {"name": "default.total_repair_cost", "type": "METRIC"}, + {"name": "default.discounted_orders_rate", "type": "METRIC"}, + {"name": "default.total_repair_order_discounts", "type": "METRIC"}, + {"name": "default.avg_repair_order_discounts", "type": "METRIC"}, + {"name": "default.avg_time_to_dispatch", "type": "METRIC"}, + {"name": "default.num_unique_hard_hats_approx", "type": "METRIC"}, + ] + + query = """ + { + downstreamNodes(nodeNames: ["default.repair_orders_fact"], nodeType: METRIC, includeDeactivated: true) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["downstreamNodes"] == [ + {"name": "default.num_repair_orders", "type": "METRIC"}, + {"name": "default.avg_repair_price", "type": "METRIC"}, + {"name": "default.total_repair_cost", "type": "METRIC"}, + {"name": "default.discounted_orders_rate", "type": "METRIC"}, + {"name": "default.total_repair_order_discounts", "type": "METRIC"}, + {"name": "default.avg_repair_order_discounts", "type": "METRIC"}, + {"name": "default.avg_time_to_dispatch", "type": "METRIC"}, + {"name": "default.num_unique_hard_hats_approx", "type": "METRIC"}, + ] + + +@pytest.mark.asyncio +async def test_downstream_nodes_with_nested_fields( + client_with_roads: AsyncClient, +) -> None: + """ + Test downstream nodes query with nested fields that require database joins. + This tests that load_node_options correctly builds options based on the + requested GraphQL fields (tags, owners, current.columns, etc.). + """ + # Query with many nested fields that require joins + query = """ + { + downstreamNodes(nodeNames: ["default.repair_order_details"], nodeType: TRANSFORM) { + name + type + tags { + name + tagType + } + owners { + username + } + current { + displayName + status + description + columns { + name + type + } + parents { + name + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # Verify we got results + downstreams = data["data"]["downstreamNodes"] + assert len(downstreams) > 0 + + # Find the repair_orders_fact transform + repair_orders_fact = next( + (n for n in downstreams if n["name"] == "default.repair_orders_fact"), + None, + ) + assert repair_orders_fact is not None + + # Verify nested fields are populated + assert repair_orders_fact["type"] == "TRANSFORM" + assert repair_orders_fact["current"] is not None + assert repair_orders_fact["current"]["status"] == "VALID" + assert repair_orders_fact["current"]["displayName"] == "Repair Orders Fact" + + # Verify columns are loaded (requires selectinload) + columns = repair_orders_fact["current"]["columns"] + assert columns is not None + assert len(columns) > 0 + column_names = {c["name"] for c in columns} + assert "repair_order_id" in column_names + + # Verify parents are loaded (requires selectinload) + parents = repair_orders_fact["current"]["parents"] + assert parents is not None + assert len(parents) > 0 diff --git a/datajunction-server/tests/api/graphql/engine_test.py b/datajunction-server/tests/api/graphql/engine_test.py new file mode 100644 index 000000000..e32e44b3e --- /dev/null +++ b/datajunction-server/tests/api/graphql/engine_test.py @@ -0,0 +1,99 @@ +""" +Tests for the engine API. +""" + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_engine_list( + client: AsyncClient, +) -> None: + """ + Test listing engines + """ + response = await client.post( + "/engines/", + json={ + "name": "spark", + "version": "2.4.4", + "dialect": "spark", + }, + ) + + response = await client.post( + "/engines/", + json={ + "name": "spark", + "version": "3.3.0", + "dialect": "spark", + }, + ) + + response = await client.post( + "/engines/", + json={ + "name": "spark", + "version": "3.3.1", + "dialect": "spark", + }, + ) + query = """ + { + listEngines{ + name + uri + version + dialect + } + } + """ + + response = await client.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + engines = data["data"]["listEngines"] + + # Check that our created spark engines are present + engine_keys = {(e["name"], e["version"]) for e in engines} + assert ("spark", "2.4.4") in engine_keys + assert ("spark", "3.3.0") in engine_keys + assert ("spark", "3.3.1") in engine_keys + + # Check dj_system engine exists (URI will vary by environment) + dj_system = next((e for e in engines if e["name"] == "dj_system"), None) + assert dj_system is not None + assert dj_system["dialect"] == "POSTGRES" + + +@pytest.mark.asyncio +async def test_list_dialects( + client: AsyncClient, +) -> None: + """ + Test listing dialects + """ + query = """ + { + listDialects{ + name + pluginClass + } + } + """ + response = await client.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # Check that all expected dialects are present (other tests may register additional ones) + expected_dialects = [ + {"name": "spark", "pluginClass": "SQLTranspilationPlugin"}, + {"name": "trino", "pluginClass": "SQLTranspilationPlugin"}, + {"name": "druid", "pluginClass": "SQLTranspilationPlugin"}, + ] + actual_dialects = data["data"]["listDialects"] + for expected in expected_dialects: + assert expected in actual_dialects, ( + f"Expected dialect {expected['name']} not found" + ) diff --git a/datajunction-server/tests/api/graphql/find_nodes_test.py b/datajunction-server/tests/api/graphql/find_nodes_test.py new file mode 100644 index 000000000..a9313b4fb --- /dev/null +++ b/datajunction-server/tests/api/graphql/find_nodes_test.py @@ -0,0 +1,2396 @@ +""" +Tests for the findNodes / findNodesPaginated GraphQL queries +""" + +from unittest import mock + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_find_by_node_type( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes by node type + """ + + query = """ + { + findNodes(nodeTypes: [TRANSFORM]) { + name + type + tags { + name + } + currentVersion + current { + customMetadata + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + repair_orders_fact = next( + node + for node in data["data"]["findNodes"] + if node["name"] == "default.repair_orders_fact" + ) + assert repair_orders_fact == { + "currentVersion": mock.ANY, + "name": "default.repair_orders_fact", + "tags": [], + "type": "TRANSFORM", + "current": {"customMetadata": {"foo": "bar"}}, + } + national_level_agg = next( + node + for node in data["data"]["findNodes"] + if node["name"] == "default.national_level_agg" + ) + assert national_level_agg == { + "currentVersion": mock.ANY, + "name": "default.national_level_agg", + "tags": [], + "type": "TRANSFORM", + "current": {"customMetadata": None}, + } + regional_level_agg = next( + node + for node in data["data"]["findNodes"] + if node["name"] == "default.regional_level_agg" + ) + assert regional_level_agg == { + "currentVersion": mock.ANY, + "name": "default.regional_level_agg", + "tags": [], + "type": "TRANSFORM", + "current": {"customMetadata": None}, + } + + query = """ + { + findNodes(nodeTypes: [CUBE]) { + name + type + tags { + name + } + currentVersion + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == {"data": {"findNodes": []}} + + +@pytest.mark.asyncio +async def test_find_node_limit( + client_with_roads: AsyncClient, + caplog, +) -> None: + """ + Test finding nodes has a max limit + """ + + query = """ + { + findNodes(nodeTypes: [TRANSFORM], limit: 100000) { + name + } + } + """ + caplog.set_level("WARNING") + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + assert any( + "Limit of 100000 is greater than the maximum limit" in message + for message in caplog.messages + ) + data = response.json() + node_names = [node["name"] for node in data["data"]["findNodes"]] + assert "default.repair_orders_fact" in node_names + assert "default.national_level_agg" in node_names + assert "default.regional_level_agg" in node_names + + query = """ + { + findNodes(nodeTypes: [TRANSFORM], limit: -1) { + name + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + node_names = [node["name"] for node in data["data"]["findNodes"]] + assert "default.repair_orders_fact" in node_names + assert "default.national_level_agg" in node_names + assert "default.regional_level_agg" in node_names + + +@pytest.mark.asyncio +async def test_find_by_node_type_paginated( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes by node type with pagination + """ + query = """ + { + findNodesPaginated(fragment: "default.", nodeTypes: [TRANSFORM], limit: 2) { + edges { + node { + name + type + tags { + name + } + currentVersion + owners { + username + } + } + } + pageInfo { + startCursor + endCursor + hasNextPage + hasPrevPage + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + edges = data["data"]["findNodesPaginated"]["edges"] + # Verify pagination returns exactly 2 results + assert len(edges) == 2 + # Verify all returned nodes are TRANSFORM type + for edge in edges: + assert edge["node"]["type"] == "TRANSFORM" + assert edge["node"]["name"].startswith("default.") + # Verify page info structure + page_info = data["data"]["findNodesPaginated"]["pageInfo"] + assert "startCursor" in page_info + assert "endCursor" in page_info + + after = page_info["endCursor"] + query = """ + query ListNodes($after: String) { + findNodesPaginated(fragment: "default.", nodeTypes: [TRANSFORM], limit: 2, after: $after) { + edges { + node { + name + type + tags { + name + } + currentVersion + } + } + pageInfo { + startCursor + endCursor + hasNextPage + hasPrevPage + } + } + } + """ + response = await client_with_roads.post( + "/graphql", + json={"query": query, "variables": {"after": after}}, + ) + assert response.status_code == 200 + data = response.json() + # Verify pagination continues correctly + page_info = data["data"]["findNodesPaginated"]["pageInfo"] + assert page_info["hasPrevPage"] is True + assert "startCursor" in page_info + assert "endCursor" in page_info + # All returned nodes should be TRANSFORM type + for edge in data["data"]["findNodesPaginated"]["edges"]: + assert edge["node"]["type"] == "TRANSFORM" + before = data["data"]["findNodesPaginated"]["pageInfo"]["startCursor"] + query = """ + query ListNodes($before: String) { + findNodesPaginated(nodeTypes: [TRANSFORM], limit: 2, before: $before) { + edges { + node { + name + type + tags { + name + } + currentVersion + } + } + pageInfo { + startCursor + endCursor + hasNextPage + hasPrevPage + } + } + } + """ + response = await client_with_roads.post( + "/graphql", + json={"query": query, "variables": {"before": before}}, + ) + assert response.status_code == 200 + data = response.json() + # Verify backward pagination works correctly + edges = data["data"]["findNodesPaginated"]["edges"] + assert len(edges) == 2 + # All returned nodes should be TRANSFORM type + for edge in edges: + assert edge["node"]["type"] == "TRANSFORM" + page_info = data["data"]["findNodesPaginated"]["pageInfo"] + assert "startCursor" in page_info + assert "endCursor" in page_info + # Should have pages in both directions when paginating backwards from middle + assert page_info["hasNextPage"] is True + assert page_info["hasPrevPage"] is True + + +@pytest.mark.asyncio +async def test_find_by_fragment( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes by fragment search functionality + """ + # Test fragment search returns results + query = """ + { + findNodes(fragment: "repair") { + name + type + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + nodes = data["data"]["findNodes"] + # Should find nodes matching "repair" fragment + assert len(nodes) > 0 + + # Test fragment search by display name + query = """ + { + findNodes(fragment: "Repair") { + name + current { + displayName + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + nodes = data["data"]["findNodes"] + # Should find nodes with "Repair" in name or display name + assert len(nodes) > 0 + + +@pytest.mark.asyncio +async def test_find_by_names( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes by their names + """ + query = """ + { + findNodes(names: ["default.regional_level_agg", "default.repair_orders"]) { + name + type + current { + columns { + name + type + } + } + currentVersion + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [ + { + "current": { + "columns": [ + { + "name": "us_region_id", + "type": "int", + }, + { + "name": "state_name", + "type": "string", + }, + { + "name": "location_hierarchy", + "type": "string", + }, + { + "name": "order_year", + "type": "int", + }, + { + "name": "order_month", + "type": "int", + }, + { + "name": "order_day", + "type": "int", + }, + { + "name": "completed_repairs", + "type": "bigint", + }, + { + "name": "total_repairs_dispatched", + "type": "bigint", + }, + { + "name": "total_amount_in_region", + "type": "double", + }, + { + "name": "avg_repair_amount_in_region", + "type": "double", + }, + { + "name": "avg_dispatch_delay", + "type": "double", + }, + { + "name": "unique_contractors", + "type": "bigint", + }, + ], + }, + "currentVersion": "v1.0", + "name": "default.regional_level_agg", + "type": "TRANSFORM", + }, + { + "current": { + "columns": [ + { + "name": "repair_order_id", + "type": "int", + }, + { + "name": "municipality_id", + "type": "string", + }, + { + "name": "hard_hat_id", + "type": "int", + }, + { + "name": "order_date", + "type": "timestamp", + }, + { + "name": "required_date", + "type": "timestamp", + }, + { + "name": "dispatched_date", + "type": "timestamp", + }, + { + "name": "dispatcher_id", + "type": "int", + }, + ], + }, + "currentVersion": "v1.2", + "name": "default.repair_orders", + "type": "SOURCE", + }, + ] + + +@pytest.mark.asyncio +async def test_find_by_tags( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes by tags + """ + + query = """ + { + findNodes(tags: ["random"]) { + name + type + tags { + name + } + currentVersion + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [] + + +@pytest.mark.asyncio +async def test_find_source( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding source nodes + """ + + query = """ + { + findNodes(names: ["default.repair_type"]) { + name + type + current { + catalog { + name + } + schema_ + table + status + dimensionLinks { + joinSql + joinType + role + dimension { + name + } + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [ + { + "current": { + "catalog": { + "name": "default", + }, + "dimensionLinks": [ + { + "dimension": { + "name": "default.contractor", + }, + "joinSql": "default.repair_type.contractor_id = " + "default.contractor.contractor_id", + "joinType": "INNER", + "role": None, + }, + ], + "schema_": "roads", + "status": "VALID", + "table": "repair_type", + }, + "name": "default.repair_type", + "type": "SOURCE", + }, + ] + + +@pytest.mark.asyncio +async def test_find_transform( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding transform nodes + """ + + query = """ + { + findNodes(names: ["default.repair_orders_fact"]) { + name + type + current { + parents { + name + currentVersion + type + } + materializations { + name + } + availability { + temporalPartitions + minTemporalPartition + maxTemporalPartition + } + cubeMetrics { + name + } + cubeDimensions { + name + } + extractedMeasures { + components { + name + } + } + metricMetadata { + unit { + name + } + } + primaryKey + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [ + { + "current": { + "availability": None, + "cubeDimensions": [], + "cubeMetrics": [], + "materializations": [], + "parents": [ + { + "name": "default.repair_orders", + "currentVersion": "v1.2", + "type": "source", + }, + { + "name": "default.repair_order_details", + "currentVersion": "v1.2", + "type": "source", + }, + ], + "extractedMeasures": None, + "metricMetadata": None, + "primaryKey": [], + }, + "name": "default.repair_orders_fact", + "type": "TRANSFORM", + }, + ] + + +@pytest.mark.asyncio +async def test_find_metric( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding metrics + """ + + query = """ + { + findNodes(names: ["default.regional_repair_efficiency"]) { + name + type + current { + parents { + name + } + metricMetadata { + unit { + name + } + direction + expression + incompatibleDruidFunctions + } + requiredDimensions { + name + } + extractedMeasures { + components { + name + expression + aggregation + rule { + type + } + } + derivedQuery + derivedExpression + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [ + { + "current": { + "metricMetadata": { + "direction": None, + "unit": None, + "expression": ( + "(SUM(rm.completed_repairs) * 1.0 / SUM(rm.total_repairs_dispatched)) * " + "(SUM(rm.total_amount_in_region) * 1.0 / " + "SUM(na.total_amount_nationwide)) * 100" + ), + "incompatibleDruidFunctions": [], + }, + "parents": [ + { + "name": "default.regional_level_agg", + }, + { + "name": "default.national_level_agg", + }, + ], + "requiredDimensions": [], + "extractedMeasures": { + "components": [ + { + "aggregation": "SUM", + "expression": "completed_repairs", + "name": "completed_repairs_sum_8b112bf1", + "rule": { + "type": "FULL", + }, + }, + { + "aggregation": "SUM", + "expression": "total_repairs_dispatched", + "name": "total_repairs_dispatched_sum_601dc4f1", + "rule": { + "type": "FULL", + }, + }, + { + "aggregation": "SUM", + "expression": "total_amount_in_region", + "name": "total_amount_in_region_sum_3426ede4", + "rule": { + "type": "FULL", + }, + }, + { + "aggregation": "SUM", + "expression": "na.total_amount_nationwide", + "name": "na_DOT_total_amount_nationwide_sum_4ecb2318", + "rule": { + "type": "FULL", + }, + }, + ], + "derivedQuery": "SELECT (SUM(completed_repairs_sum_8b112bf1) * 1.0 / " + "SUM(total_repairs_dispatched_sum_601dc4f1)) * " + "(SUM(total_amount_in_region_sum_3426ede4) * 1.0 / " + "SUM(na_DOT_total_amount_nationwide_sum_4ecb2318)) * 100 \n" + " FROM default.regional_level_agg CROSS JOIN " + "default.national_level_agg na\n" + "\n", + "derivedExpression": "(SUM(completed_repairs_sum_8b112bf1) * 1.0 / " + "SUM(total_repairs_dispatched_sum_601dc4f1)) * " + "(SUM(total_amount_in_region_sum_3426ede4) * 1.0 / " + "SUM(na_DOT_total_amount_nationwide_sum_4ecb2318)) * 100", + }, + }, + "name": "default.regional_repair_efficiency", + "type": "METRIC", + }, + ] + + +@pytest.mark.asyncio +async def test_find_cubes( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding cubes + """ + response = await client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": [ + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + ], + "dimensions": [ + "default.hard_hat.city", + "default.hard_hat.state", + "default.dispatcher.company_name", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + }, + ) + query = """ + { + findNodes(nodeTypes: [CUBE]) { + name + type + current { + cubeMetrics { + name + description + } + cubeDimensions { + name + dimensionNode { + name + } + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [ + { + "current": { + "cubeDimensions": [ + { + "dimensionNode": { + "name": "default.hard_hat", + }, + "name": "default.hard_hat.city", + }, + { + "dimensionNode": { + "name": "default.hard_hat", + }, + "name": "default.hard_hat.state", + }, + { + "dimensionNode": { + "name": "default.dispatcher", + }, + "name": "default.dispatcher.company_name", + }, + ], + "cubeMetrics": [ + { + "description": "Number of repair orders", + "name": "default.num_repair_orders", + }, + { + "description": "Average repair price", + "name": "default.avg_repair_price", + }, + { + "description": "Total repair cost", + "name": "default.total_repair_cost", + }, + ], + }, + "name": "default.repairs_cube", + "type": "CUBE", + }, + ] + + +@pytest.mark.asyncio +async def test_find_cubes_full_query( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding cubes with full field selection including cubeMetrics and cubeDimensions. + This tests the optimized loading paths for cube queries. + """ + # First create a cube + response = await client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": [ + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + ], + "dimensions": [ + "default.hard_hat.city", + "default.hard_hat.state", + "default.dispatcher.company_name", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Full cube for testing", + "mode": "published", + "name": "default.full_test_cube", + }, + ) + assert response.status_code < 400, response.json() + + # Query with full field selection + query = """ + query FindReportCubes { + findNodes(nodeTypes:[CUBE]) { + name + tags { + name + } + createdBy { + username + } + current { + description + displayName + cubeMetrics { + name + version + type + displayName + } + cubeDimensions { + name + type + role + dimensionNode { + name + } + attribute + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + cubes = data["data"]["findNodes"] + assert cubes == [ + { + "createdBy": { + "username": "dj", + }, + "current": { + "cubeDimensions": [ + { + "attribute": "city", + "dimensionNode": { + "name": "default.hard_hat", + }, + "name": "default.hard_hat.city", + "role": "", + "type": "string", + }, + { + "attribute": "state", + "dimensionNode": { + "name": "default.hard_hat", + }, + "name": "default.hard_hat.state", + "role": "", + "type": "string", + }, + { + "attribute": "company_name", + "dimensionNode": { + "name": "default.dispatcher", + }, + "name": "default.dispatcher.company_name", + "role": "", + "type": "string", + }, + ], + "cubeMetrics": [ + { + "displayName": "Num Repair Orders", + "name": "default.num_repair_orders", + "type": "METRIC", + "version": "v1.0", + }, + { + "displayName": "Avg Repair Price", + "name": "default.avg_repair_price", + "type": "METRIC", + "version": "v1.0", + }, + { + "displayName": "Total Repair Cost", + "name": "default.total_repair_cost", + "type": "METRIC", + "version": "v1.0", + }, + ], + "description": "Full cube for testing", + "displayName": "Full Test Cube", + }, + "name": "default.full_test_cube", + "tags": [], + }, + ] + + +@pytest.mark.asyncio +async def test_find_node_with_revisions( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes with revisions + """ + + query = """ + { + findNodesPaginated(nodeTypes: [TRANSFORM], namespace: "default", editedBy: "dj", limit: -1) { + edges { + node { + name + type + revisions { + displayName + dimensionLinks { + dimension { + name + } + joinSql + } + } + currentVersion + createdBy { + email + id + isAdmin + name + oauthProvider + username + } + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + results = data["data"]["findNodesPaginated"] + results["edges"][0]["node"]["revisions"][0]["dimensionLinks"] = sorted( + results["edges"][0]["node"]["revisions"][0]["dimensionLinks"], + key=lambda x: x["dimension"]["name"], + ) + assert results["edges"] == [ + { + "node": { + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + "currentVersion": "v1.1", + "name": "default.long_events", + "revisions": [ + {"dimensionLinks": [], "displayName": "Long Events"}, + { + "dimensionLinks": [ + { + "dimension": {"name": "default.country_dim"}, + "joinSql": "default.long_events.country " + "= " + "default.country_dim.country", + }, + ], + "displayName": "Long Events", + }, + ], + "type": "TRANSFORM", + }, + }, + { + "node": { + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + "currentVersion": "v1.0", + "name": "default.large_revenue_payments_and_business_only_1", + "revisions": [ + { + "dimensionLinks": [], + "displayName": "Large Revenue Payments And Business Only 1", + }, + ], + "type": "TRANSFORM", + }, + }, + { + "node": { + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + "currentVersion": "v1.0", + "name": "default.large_revenue_payments_and_business_only", + "revisions": [ + { + "dimensionLinks": [], + "displayName": "Large Revenue Payments And Business Only", + }, + ], + "type": "TRANSFORM", + }, + }, + { + "node": { + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + "currentVersion": "v1.0", + "name": "default.large_revenue_payments_only_custom", + "revisions": [ + { + "dimensionLinks": [], + "displayName": "Large Revenue Payments Only Custom", + }, + ], + "type": "TRANSFORM", + }, + }, + { + "node": { + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + "currentVersion": "v1.0", + "name": "default.large_revenue_payments_only_2", + "revisions": [ + { + "dimensionLinks": [], + "displayName": "Large Revenue Payments Only 2", + }, + ], + "type": "TRANSFORM", + }, + }, + { + "node": { + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + "currentVersion": "v1.0", + "name": "default.large_revenue_payments_only_1", + "revisions": [ + { + "dimensionLinks": [], + "displayName": "Large Revenue Payments Only 1", + }, + ], + "type": "TRANSFORM", + }, + }, + { + "node": { + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + "currentVersion": "v1.0", + "name": "default.large_revenue_payments_only", + "revisions": [ + { + "dimensionLinks": [], + "displayName": "Large Revenue Payments Only", + }, + ], + "type": "TRANSFORM", + }, + }, + { + "node": { + "name": "default.repair_orders_fact", + "type": "TRANSFORM", + "revisions": [ + {"displayName": "Repair Orders Fact", "dimensionLinks": []}, + { + "displayName": "Repair Orders Fact", + "dimensionLinks": [ + { + "dimension": {"name": "default.municipality_dim"}, + "joinSql": "default.repair_orders_fact.municipality_id = default.municipality_dim.municipality_id", + }, + ], + }, + { + "displayName": "Repair Orders Fact", + "dimensionLinks": [ + { + "dimension": {"name": "default.municipality_dim"}, + "joinSql": "default.repair_orders_fact.municipality_id = default.municipality_dim.municipality_id", + }, + { + "dimension": {"name": "default.hard_hat"}, + "joinSql": "default.repair_orders_fact.hard_hat_id = default.hard_hat.hard_hat_id", + }, + ], + }, + { + "displayName": "Repair Orders Fact", + "dimensionLinks": [ + { + "dimension": {"name": "default.municipality_dim"}, + "joinSql": "default.repair_orders_fact.municipality_id = default.municipality_dim.municipality_id", + }, + { + "dimension": {"name": "default.hard_hat"}, + "joinSql": "default.repair_orders_fact.hard_hat_id = default.hard_hat.hard_hat_id", + }, + { + "dimension": {"name": "default.hard_hat_to_delete"}, + "joinSql": "default.repair_orders_fact.hard_hat_id = default.hard_hat_to_delete.hard_hat_id", + }, + ], + }, + { + "displayName": "Repair Orders Fact", + "dimensionLinks": [ + { + "dimension": {"name": "default.municipality_dim"}, + "joinSql": "default.repair_orders_fact.municipality_id = default.municipality_dim.municipality_id", + }, + { + "dimension": {"name": "default.hard_hat"}, + "joinSql": "default.repair_orders_fact.hard_hat_id = default.hard_hat.hard_hat_id", + }, + { + "dimension": {"name": "default.hard_hat_to_delete"}, + "joinSql": "default.repair_orders_fact.hard_hat_id = default.hard_hat_to_delete.hard_hat_id", + }, + { + "dimension": {"name": "default.dispatcher"}, + "joinSql": "default.repair_orders_fact.dispatcher_id = default.dispatcher.dispatcher_id", + }, + ], + }, + ], + "currentVersion": "v1.4", + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + }, + }, + { + "node": { + "name": "default.national_level_agg", + "type": "TRANSFORM", + "revisions": [ + {"displayName": "National Level Agg", "dimensionLinks": []}, + ], + "currentVersion": "v1.0", + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + }, + }, + { + "node": { + "name": "default.regional_level_agg", + "type": "TRANSFORM", + "revisions": [ + {"displayName": "Regional Level Agg", "dimensionLinks": []}, + ], + "currentVersion": "v1.0", + "createdBy": { + "email": "dj@datajunction.io", + "id": 1, + "isAdmin": False, + "name": "DJ", + "oauthProvider": "BASIC", + "username": "dj", + }, + }, + }, + ] + + +@pytest.mark.asyncio +async def test_find_nodes_with_created_edited_by( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes with created by / edited by metadata + """ + + query = """ + { + findNodes(names: ["default.repair_orders_fact"]) { + name + createdBy { + username + } + editedBy + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [ + { + "name": "default.repair_orders_fact", + "createdBy": {"username": "dj"}, + "editedBy": ["dj"], + }, + ] + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_empty_list( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes with pagination when there are none + """ + + query = """ + { + findNodesPaginated(names: ["default.repair_orders_fact111"], before: "eyJjcmVhdGVkX2F0IjogIjIwMjQtMTAtMjZUMTQ6Mzc6MjkuNzI4MzE3KzAwOjAwIiwgImlkIjogMjV9") { + edges { + node { + name + } + } + pageInfo { + startCursor + endCursor + hasNextPage + hasPrevPage + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodesPaginated"] == { + "edges": [], + "pageInfo": { + "startCursor": None, + "endCursor": None, + "hasNextPage": False, + "hasPrevPage": False, + }, + } + + +@pytest.mark.asyncio +async def test_find_by_with_filtering_on_columns( + client_with_roads: AsyncClient, +) -> None: + """ + Test that filter on columns works correctly + """ + query = """ + { + findNodes(names: ["default.regional_level_agg", "default.repair_orders"]) { + name + type + current { + columns(attributes: ["primary_key"]) { + name + type + } + } + currentVersion + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [ + { + "current": { + "columns": [ + { + "name": "us_region_id", + "type": "int", + }, + { + "name": "state_name", + "type": "string", + }, + { + "name": "order_year", + "type": "int", + }, + { + "name": "order_month", + "type": "int", + }, + { + "name": "order_day", + "type": "int", + }, + ], + }, + "currentVersion": "v1.0", + "name": "default.regional_level_agg", + "type": "TRANSFORM", + }, + { + "current": { + "columns": [], + }, + "currentVersion": "v1.2", + "name": "default.repair_orders", + "type": "SOURCE", + }, + ] + + +@pytest.mark.asyncio +async def test_find_by_with_ordering( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes with ordering + """ + query = """ + { + findNodes(fragment: "default.", orderBy: NAME, ascending: true) { + name + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert [node["name"] for node in data["data"]["findNodes"]][:6] == [ + "default.account_type", + "default.account_type_table", + "default.avg_length_of_employment", + "default.avg_repair_order_discounts", + "default.avg_repair_price", + "default.avg_time_to_dispatch", + ] + + query = """ + { + findNodes(fragment: "default.", orderBy: UPDATED_AT, ascending: true) { + name + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert [node["name"] for node in data["data"]["findNodes"]][:6] == [ + "default.repair_orders_view", + "default.municipality_municipality_type", + "default.municipality_type", + "default.municipality", + "default.dispatchers", + "default.hard_hats", + ] + + +@pytest.mark.asyncio +async def test_find_nodes_with_mode( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes returns mode field + """ + query = """ + { + findNodes(names: ["default.repair_orders_fact"]) { + name + current { + mode + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [ + { + "name": "default.repair_orders_fact", + "current": { + "mode": "PUBLISHED", + }, + }, + ] + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_filter_by_mode( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes by mode (published vs draft) + """ + # First, create a draft node + response = await client_with_roads.post( + "/nodes/transform/", + json={ + "name": "default.draft_test_node", + "description": "A draft test node", + "query": "SELECT 1 as id", + "mode": "draft", + }, + ) + assert response.status_code == 201 + + # Query for published nodes only (should not include the draft node) + query = """ + { + findNodesPaginated(mode: PUBLISHED, namespace: "default", limit: 100) { + edges { + node { + name + current { + mode + } + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should be published + for edge in data["data"]["findNodesPaginated"]["edges"]: + assert edge["node"]["current"]["mode"] == "PUBLISHED" + + # Draft node should not be in the results + node_names = [ + edge["node"]["name"] for edge in data["data"]["findNodesPaginated"]["edges"] + ] + assert "default.draft_test_node" not in node_names + + # Query for draft nodes only + query = """ + { + findNodesPaginated(mode: DRAFT, namespace: "default", limit: 100) { + edges { + node { + name + current { + mode + } + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should be draft + for edge in data["data"]["findNodesPaginated"]["edges"]: + assert edge["node"]["current"]["mode"] == "DRAFT" + + # Draft node should be in the results + node_names = [ + edge["node"]["name"] for edge in data["data"]["findNodesPaginated"]["edges"] + ] + assert "default.draft_test_node" in node_names + + # Query without mode filter should return both + query = """ + { + findNodesPaginated(namespace: "default", limit: 100) { + edges { + node { + name + current { + mode + } + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + node_names = [ + edge["node"]["name"] for edge in data["data"]["findNodesPaginated"]["edges"] + ] + assert "default.draft_test_node" in node_names + + +@pytest.mark.asyncio +async def test_approx_count_distinct_metric_decomposition( + client_with_roads: AsyncClient, +) -> None: + """ + Test that APPROX_COUNT_DISTINCT metrics decompose into HLL sketch components. + + This verifies that: + 1. The metric decomposes to a single HLL component + 2. The aggregation is hll_sketch_agg (Spark's function for building sketch) + 3. The merge is hll_union (Spark's function for combining sketches) + 4. The derived query uses hll_sketch_estimate(hll_union(...)) as the combiner + + Translation to other dialects (Druid, Trino) happens in the transpilation layer. + """ + query = """ + { + findNodes(names: ["default.num_unique_hard_hats_approx"]) { + name + type + current { + query + extractedMeasures { + components { + name + expression + aggregation + merge + rule { + type + } + } + combiner + derivedQuery + derivedExpression + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + assert len(data["data"]["findNodes"]) == 1 + node = data["data"]["findNodes"][0] + assert node["name"] == "default.num_unique_hard_hats_approx" + assert node["type"] == "METRIC" + + extracted = node["current"]["extractedMeasures"] + assert extracted is not None + + # Should have exactly one HLL component + components = extracted["components"] + assert len(components) == 1 + + hll_component = components[0] + assert hll_component["expression"] == "hard_hat_id" + assert hll_component["aggregation"] == "hll_sketch_agg" # Spark's HLL accumulate + assert hll_component["merge"] == "hll_union_agg" # Spark's HLL merge + assert hll_component["rule"]["type"] == "FULL" + + # The combiner should use Spark HLL functions + assert "hll_sketch_estimate" in extracted["combiner"] + assert "hll_union" in extracted["combiner"] + assert "hll_sketch_estimate" in extracted["derivedExpression"] + + # The derived query should contain Spark HLL functions + assert "hll_sketch_estimate" in extracted["derivedQuery"] + assert "hll_union" in extracted["derivedQuery"] + + +@pytest.mark.asyncio +async def test_find_nodes_with_dimensions_filter( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes with the dimensions filter. + This filters to nodes that have ALL of the specified dimensions. + """ + # Find nodes that have the hard_hat dimension + query = """ + { + findNodes(dimensions: ["default.hard_hat"]) { + name + type + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + node_names = {node["name"] for node in data["data"]["findNodes"]} + + # These nodes should have the hard_hat dimension + expected_nodes = { + "default.repair_orders", + "default.repair_order_details", + "default.repair_order", + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.avg_repair_price", + "default.repair_orders_fact", + "default.total_repair_cost", + "default.discounted_orders_rate", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + } + assert node_names == expected_nodes + + +@pytest.mark.asyncio +async def test_find_nodes_with_dimensions_filter_combined_with_type( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes with dimensions filter combined with node type filter. + """ + # Find only METRIC nodes that have the hard_hat dimension + query = """ + { + findNodes(dimensions: ["default.hard_hat"], nodeTypes: [METRIC]) { + name + type + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + node_names = {node["name"] for node in data["data"]["findNodes"]} + + # All returned nodes should be METRICs with the hard_hat dimension + for node in data["data"]["findNodes"]: + assert node["type"] == "METRIC" + + # These are the metrics with the hard_hat dimension + expected_metrics = { + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.avg_repair_price", + "default.total_repair_cost", + "default.discounted_orders_rate", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + } + assert node_names == expected_metrics + + +@pytest.mark.asyncio +async def test_find_nodes_with_nonexistent_dimension( + client_with_roads: AsyncClient, +) -> None: + """ + Test that finding nodes with a nonexistent dimension returns empty list. + """ + query = """ + { + findNodes(dimensions: ["default.nonexistent_dimension"]) { + name + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [] + + +@pytest.mark.asyncio +async def test_find_nodes_with_dimension_attribute( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes with a dimension attribute (e.g., default.hard_hat.city). + This should work the same as filtering by the dimension node. + """ + # Find nodes using dimension attribute (includes column name) + query_with_attr = """ + { + findNodes(dimensions: ["default.hard_hat.hard_hat_id"]) { + name + } + } + """ + response_attr = await client_with_roads.post( + "/graphql", + json={"query": query_with_attr}, + ) + assert response_attr.status_code == 200 + data_attr = response_attr.json() + nodes_from_attr = {node["name"] for node in data_attr["data"]["findNodes"]} + + # Find nodes using dimension node name + query_with_node = """ + { + findNodes(dimensions: ["default.hard_hat"]) { + name + } + } + """ + response_node = await client_with_roads.post( + "/graphql", + json={"query": query_with_node}, + ) + assert response_node.status_code == 200 + data_node = response_node.json() + nodes_from_node = {node["name"] for node in data_node["data"]["findNodes"]} + + # Both should return the same set of nodes + assert nodes_from_attr == nodes_from_node + assert len(nodes_from_attr) > 0 # Ensure we got some results + + +@pytest.mark.asyncio +async def test_find_nodes_with_mixed_dimension_formats( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding nodes with a mix of dimension node names and dimension attributes. + """ + # Mix a dimension node name and a dimension attribute + query = """ + { + findNodes(dimensions: ["default.hard_hat", "default.dispatcher.dispatcher_id"]) { + name + type + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + node_names = {node["name"] for node in data["data"]["findNodes"]} + + # Should find nodes that have BOTH hard_hat AND dispatcher dimensions + # This should include repair_orders_fact and related nodes + assert len(node_names) > 0 + # All results should have both dimensions available + assert "default.repair_orders_fact" in node_names + + +@pytest.mark.asyncio +async def test_find_nodes_filter_by_owner( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes by owner (ownedBy). + """ + # Query for nodes owned by the 'dj' user + query = """ + { + findNodes(ownedBy: "dj") { + name + owners { + username + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have 'dj' as an owner + for node in data["data"]["findNodes"]: + owner_usernames = [owner["username"] for owner in node["owners"]] + assert "dj" in owner_usernames + + # Verify we got some results + assert len(data["data"]["findNodes"]) > 0 + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_filter_by_owner( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes by owner (ownedBy) using paginated endpoint. + """ + query = """ + { + findNodesPaginated(ownedBy: "dj", limit: 10) { + edges { + node { + name + owners { + username + } + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have 'dj' as an owner + for edge in data["data"]["findNodesPaginated"]["edges"]: + owner_usernames = [owner["username"] for owner in edge["node"]["owners"]] + assert "dj" in owner_usernames + + +@pytest.mark.asyncio +async def test_find_nodes_filter_by_status_valid( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes by status (VALID). + """ + query = """ + { + findNodes(statuses: [VALID]) { + name + current { + status + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have VALID status + for node in data["data"]["findNodes"]: + assert node["current"]["status"] == "VALID" + + # Verify we got some results + assert len(data["data"]["findNodes"]) > 0 + + +@pytest.mark.asyncio +async def test_find_nodes_filter_by_status_invalid( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes by status (INVALID). + First create an invalid node, then filter for it. + """ + # Create a node that references a non-existent parent (will be invalid) + response = await client_with_roads.post( + "/nodes/transform/", + json={ + "name": "default.invalid_test_node", + "description": "An invalid test node", + "query": "SELECT * FROM default.nonexistent_table", + "mode": "published", + }, + ) + # This should fail or create an invalid node + + query = """ + { + findNodes(statuses: [INVALID]) { + name + current { + status + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have INVALID status + for node in data["data"]["findNodes"]: + assert node["current"]["status"] == "INVALID" + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_filter_by_status( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes by status using paginated endpoint. + """ + query = """ + { + findNodesPaginated(statuses: [VALID], limit: 10) { + edges { + node { + name + current { + status + } + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have VALID status + for edge in data["data"]["findNodesPaginated"]["edges"]: + assert edge["node"]["current"]["status"] == "VALID" + + +@pytest.mark.asyncio +async def test_find_nodes_filter_missing_description( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes that are missing descriptions. + """ + # First create a node without a description + response = await client_with_roads.post( + "/nodes/transform/", + json={ + "name": "default.no_description_node", + "description": "", # Empty description + "query": "SELECT 1 as id", + "mode": "published", + }, + ) + + query = """ + { + findNodes(missingDescription: true) { + name + current { + description + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have empty or null descriptions + for node in data["data"]["findNodes"]: + desc = node["current"]["description"] + assert desc is None or desc == "" + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_filter_missing_description( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes that are missing descriptions using paginated endpoint. + """ + query = """ + { + findNodesPaginated(missingDescription: true, limit: 10) { + edges { + node { + name + current { + description + } + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have empty or null descriptions + for edge in data["data"]["findNodesPaginated"]["edges"]: + desc = edge["node"]["current"]["description"] + assert desc is None or desc == "" + + +@pytest.mark.asyncio +async def test_find_nodes_filter_missing_owner( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes that are missing owners. + """ + query = """ + { + findNodes(missingOwner: true) { + name + owners { + username + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have no owners + for node in data["data"]["findNodes"]: + assert node["owners"] == [] or node["owners"] is None + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_filter_missing_owner( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes that are missing owners using paginated endpoint. + """ + query = """ + { + findNodesPaginated(missingOwner: true, limit: 10) { + edges { + node { + name + owners { + username + } + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have no owners + for edge in data["data"]["findNodesPaginated"]["edges"]: + owners = edge["node"]["owners"] + assert owners == [] or owners is None + + +@pytest.mark.asyncio +async def test_find_nodes_filter_orphaned_dimension( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering for orphaned dimension nodes (dimensions not linked to by any other node). + """ + # First, create an orphaned dimension (a dimension that no other node links to) + response = await client_with_roads.post( + "/nodes/dimension/", + json={ + "name": "default.orphaned_dimension_test", + "description": "An orphaned dimension for testing", + "query": "SELECT 1 as orphan_id, 'test' as orphan_name", + "primary_key": ["orphan_id"], + "mode": "published", + }, + ) + + query = """ + { + findNodes(orphanedDimension: true) { + name + type + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should be dimensions + for node in data["data"]["findNodes"]: + assert node["type"] == "DIMENSION" + + # The orphaned dimension we created should be in the results + node_names = {node["name"] for node in data["data"]["findNodes"]} + assert "default.orphaned_dimension_test" in node_names + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_filter_orphaned_dimension( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering for orphaned dimension nodes using paginated endpoint. + """ + query = """ + { + findNodesPaginated(orphanedDimension: true, limit: 10) { + edges { + node { + name + type + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should be dimensions + for edge in data["data"]["findNodesPaginated"]["edges"]: + assert edge["node"]["type"] == "DIMENSION" + + +@pytest.mark.asyncio +async def test_find_nodes_combined_filters( + client_with_roads: AsyncClient, +) -> None: + """ + Test combining multiple filters together. + """ + # Combine ownedBy with status filter + query = """ + { + findNodes(ownedBy: "dj", statuses: [VALID], nodeTypes: [METRIC]) { + name + type + owners { + username + } + current { + status + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should match all filters + for node in data["data"]["findNodes"]: + assert node["type"] == "METRIC" + assert node["current"]["status"] == "VALID" + owner_usernames = [owner["username"] for owner in node["owners"]] + assert "dj" in owner_usernames + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_combined_filters( + client_with_roads: AsyncClient, +) -> None: + """ + Test combining multiple filters together using paginated endpoint. + """ + query = """ + { + findNodesPaginated(ownedBy: "dj", statuses: [VALID], nodeTypes: [SOURCE], limit: 10) { + edges { + node { + name + type + owners { + username + } + current { + status + } + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should match all filters + for edge in data["data"]["findNodesPaginated"]["edges"]: + node = edge["node"] + assert node["type"] == "SOURCE" + assert node["current"]["status"] == "VALID" + owner_usernames = [owner["username"] for owner in node["owners"]] + assert "dj" in owner_usernames + + +@pytest.mark.asyncio +async def test_find_nodes_filter_by_nonexistent_owner( + client_with_roads: AsyncClient, +) -> None: + """ + Test that filtering by a nonexistent owner returns empty results. + """ + query = """ + { + findNodes(ownedBy: "nonexistent_user_12345") { + name + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data["data"]["findNodes"] == [] + + +@pytest.mark.asyncio +async def test_find_nodes_filter_multiple_statuses( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes by multiple statuses. + """ + query = """ + { + findNodes(statuses: [VALID, INVALID]) { + name + current { + status + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # All returned nodes should have either VALID or INVALID status + for node in data["data"]["findNodes"]: + assert node["current"]["status"] in ["VALID", "INVALID"] + + # Verify we got some results + assert len(data["data"]["findNodes"]) > 0 + + +@pytest.mark.asyncio +async def test_find_nodes_paginated_filter_has_materialization( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes that have materializations configured. + """ + # First, set up a partition column on a node so we can create a materialization + await client_with_roads.post( + "/nodes/default.repair_orders_fact/columns/repair_order_id/partition", + json={"type_": "categorical"}, + ) + + # Create a materialization on a node + response = await client_with_roads.post( + "/nodes/default.repair_orders_fact/materialization", + json={ + "job": "spark_sql", + "strategy": "full", + "schedule": "@daily", + "config": {}, + }, + ) + # Note: materialization creation may fail in test environment without query service, + # but the node should still be marked as having materialization configured + + # Query for nodes with materializations + query = """ + { + findNodesPaginated(hasMaterialization: true, limit: 10) { + edges { + node { + name + type + current { + materializations { + name + } + } + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # If we got results, all returned nodes should have materializations + for edge in data["data"]["findNodesPaginated"]["edges"]: + node = edge["node"] + materializations = node["current"]["materializations"] + assert materializations is not None and len(materializations) > 0 + + +@pytest.mark.asyncio +async def test_find_nodes_filter_has_materialization( + client_with_roads: AsyncClient, +) -> None: + """ + Test filtering nodes that have materializations using non-paginated endpoint. + """ + query = """ + { + findNodes(hasMaterialization: true) { + name + type + current { + materializations { + name + } + } + } + } + """ + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # If we got results, all returned nodes should have materializations + for node in data["data"]["findNodes"]: + materializations = node["current"]["materializations"] + assert materializations is not None and len(materializations) > 0 diff --git a/datajunction-server/tests/api/graphql/measures_sql_test.py b/datajunction-server/tests/api/graphql/measures_sql_test.py new file mode 100644 index 000000000..af8133de1 --- /dev/null +++ b/datajunction-server/tests/api/graphql/measures_sql_test.py @@ -0,0 +1,237 @@ +""" +Tests for generate SQL queries +""" + +from unittest import mock + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_measures_sql( + client_with_roads: AsyncClient, +): + """ + Test requesting measures SQL for a set of metrics, dimensions, and filters + """ + + query = """ + query GetMeasuresSQL($metrics: [String!], $dimensions: [String!], $filters: [String!]) { + measuresSql( + cube: {metrics: $metrics, dimensions: $dimensions, filters: $filters} + preaggregate: true + ) { + sql + node { + name + } + columns { + name + semanticType + semanticEntity { + name + node + column + } + } + dialect + upstreamTables + errors { + message + } + } + } + """ + + response = await client_with_roads.post( + "/graphql", + json={ + "query": query, + "variables": { + "metrics": ["default.num_repair_orders", "default.avg_repair_price"], + "dimensions": ["default.us_state.state_name"], + "filters": ["default.us_state.state_name = 'AZ'"], + }, + }, + ) + assert response.status_code == 200 + data = response.json() + assert len(data["data"]["measuresSql"]) == 1 + + assert data["data"]["measuresSql"][0] == { + "columns": [ + { + "name": "default_DOT_us_state_DOT_state_name", + "semanticEntity": { + "column": "state_name", + "name": "default.us_state.state_name", + "node": "default.us_state", + }, + "semanticType": "DIMENSION", + }, + { + "name": "repair_order_id_count_bd241964", + "semanticEntity": { + "column": "repair_order_id_count_bd241964", + "name": "default.repair_orders_fact.repair_order_id_count_bd241964", + "node": "default.repair_orders_fact", + }, + "semanticType": "MEASURE", + }, + { + "name": "price_count_935e7117", + "semanticEntity": { + "column": "price_count_935e7117", + "name": "default.repair_orders_fact.price_count_935e7117", + "node": "default.repair_orders_fact", + }, + "semanticType": "MEASURE", + }, + { + "name": "price_sum_935e7117", + "semanticEntity": { + "column": "price_sum_935e7117", + "name": "default.repair_orders_fact.price_sum_935e7117", + "node": "default.repair_orders_fact", + }, + "semanticType": "MEASURE", + }, + ], + "dialect": "SPARK", + "errors": [], + "node": { + "name": "default.repair_orders_fact", + }, + "sql": mock.ANY, + "upstreamTables": [ + "default.roads.repair_orders", + "default.roads.repair_order_details", + "default.roads.hard_hats", + "default.roads.us_states", + ], + } + + +@pytest.mark.asyncio +async def test_materialization_plan( + client_with_roads: AsyncClient, +): + """ + Test requesting materialization plan for a set of metrics, dimensions, and filters + """ + + query = """ + query MaterializationPlan($metrics: [String!]!, $dimensions: [String!]!, $filters: [String!]) { + materializationPlan( + cube: {metrics: $metrics, dimensions: $dimensions, filters: $filters} + ) { + units { + upstream { + name + version + } + measures { + name + aggregation + expression + rule { + type + level + } + } + grainDimensions { + name + version + } + filters + filterRefs { + name + version + } + } + } + } + """ + + response = await client_with_roads.post( + "/graphql", + json={ + "query": query, + "variables": { + "metrics": ["default.num_repair_orders", "default.avg_repair_price"], + "dimensions": [ + "default.us_state.state_name", + "default.hard_hat.last_name", + ], + "filters": [ + "default.us_state.state_name = 'AZ' OR default.hard_hat.first_name = 'B'", + ], + }, + }, + ) + assert response.status_code == 200 + data = response.json() + assert data["data"]["materializationPlan"] == { + "units": [ + { + "filterRefs": [ + { + "name": "default.us_state.state_name", + "version": mock.ANY, + }, + { + "name": "default.hard_hat.first_name", + "version": mock.ANY, + }, + ], + "filters": [ + "default.us_state.state_name = 'AZ' OR " + "default.hard_hat.first_name = 'B'", + ], + "grainDimensions": [ + { + "name": "default.us_state", + "version": mock.ANY, + }, + { + "name": "default.hard_hat", + "version": mock.ANY, + }, + ], + "measures": [ + { + "aggregation": "COUNT", + "expression": "repair_order_id", + "name": "repair_order_id_count_bd241964", + "rule": { + "level": None, + "type": "FULL", + }, + }, + { + "aggregation": "COUNT", + "expression": "price", + "name": "price_count_935e7117", + "rule": { + "level": None, + "type": "FULL", + }, + }, + { + "aggregation": "SUM", + "expression": "price", + "name": "price_sum_935e7117", + "rule": { + "level": None, + "type": "FULL", + }, + }, + ], + "upstream": { + "name": "default.repair_orders_fact", + "version": mock.ANY, + }, + }, + ], + } diff --git a/datajunction-server/tests/api/graphql/resolvers/test_load_options.py b/datajunction-server/tests/api/graphql/resolvers/test_load_options.py new file mode 100644 index 000000000..33dbfb373 --- /dev/null +++ b/datajunction-server/tests/api/graphql/resolvers/test_load_options.py @@ -0,0 +1,459 @@ +""" +Unit tests for the load options functions in nodes.py. +Tests for load_node_options, load_node_revision_options, +build_cube_metrics_node_revision_options, and build_cube_dimensions_node_revision_options. +""" + +from sqlalchemy.orm import load_only + +from datajunction_server.api.graphql.resolvers.nodes import ( + build_cube_dimensions_node_revision_options, + build_cube_metrics_node_revision_options, + load_node_options, + load_node_revision_options, +) +from datajunction_server.database.node import NodeRevision as DBNodeRevision + + +def get_relationship_key(opt): + """Extract the relationship key from a loader option.""" + if hasattr(opt, "context") and opt.context: + ctx = opt.context[0] + if hasattr(ctx, "path") and hasattr(ctx.path, "path"): + # path.path is a tuple like (Mapper, Relationship, Mapper) + # The relationship is at index 1 + path_tuple = ctx.path.path + if len(path_tuple) >= 2 and hasattr(path_tuple[1], "key"): + return path_tuple[1].key + return None + + +def get_strategy(opt): + """Extract the strategy from a loader option.""" + if hasattr(opt, "context") and opt.context: + ctx = opt.context[0] + if hasattr(ctx, "strategy"): + return ctx.strategy + return None + + +def has_noload_for(options, relationship_name): + """Check if a noload option exists for the given relationship.""" + for opt in options: + key = get_relationship_key(opt) + strategy = get_strategy(opt) + if key == relationship_name and strategy == (("lazy", "noload"),): + return True + return False + + +def has_selectinload_for(options, relationship_name): + """Check if a selectinload option exists for the given relationship.""" + for opt in options: + key = get_relationship_key(opt) + strategy = get_strategy(opt) + if key == relationship_name and strategy == (("lazy", "selectin"),): + return True + return False + + +def has_joinedload_for(options, relationship_name): + """Check if a joinedload option exists for the given relationship.""" + for opt in options: + key = get_relationship_key(opt) + strategy = get_strategy(opt) + if key == relationship_name and strategy == (("lazy", "joined"),): + return True + return False + + +class TestLoadNodeOptions: + """Tests for load_node_options function.""" + + def test_with_current_only(self): + """Only current field requested - should noload revisions.""" + fields = {"current": {"displayName": {}}} + options = load_node_options(fields) + + assert has_noload_for(options, "revisions") + assert has_joinedload_for(options, "current") + assert has_noload_for(options, "created_by") + assert has_noload_for(options, "owners") + assert has_noload_for(options, "history") + assert has_noload_for(options, "tags") + assert has_noload_for(options, "children") + + def test_with_revisions(self): + """revisions field requested - should joinedload revisions.""" + fields = {"revisions": {"displayName": {}}} + options = load_node_options(fields) + + assert has_joinedload_for(options, "revisions") + assert has_noload_for(options, "current") + + def test_with_created_by(self): + """created_by field requested - should selectinload created_by.""" + fields = {"created_by": {"username": {}}} + options = load_node_options(fields) + + assert has_selectinload_for(options, "created_by") + + def test_with_owners(self): + """owners field requested - should selectinload owners.""" + fields = {"owners": {"username": {}}} + options = load_node_options(fields) + + assert has_selectinload_for(options, "owners") + + def test_with_edited_by(self): + """edited_by field requested - should selectinload history.""" + fields = {"edited_by": {}} + options = load_node_options(fields) + + assert has_selectinload_for(options, "history") + + def test_with_tags(self): + """tags field requested - should selectinload tags.""" + fields = {"tags": {"name": {}}} + options = load_node_options(fields) + + assert has_selectinload_for(options, "tags") + + def test_children_always_noloaded(self): + """children should always be noloaded (not exposed in GraphQL).""" + fields = {"name": {}} + options = load_node_options(fields) + + assert has_noload_for(options, "children") + + def test_all_fields_requested(self): + """All fields requested - should load all relationships.""" + fields = { + "current": {"displayName": {}}, + "revisions": {"displayName": {}}, + "created_by": {"username": {}}, + "owners": {"username": {}}, + "edited_by": {}, + "tags": {"name": {}}, + } + options = load_node_options(fields) + + assert has_joinedload_for(options, "current") + assert has_joinedload_for(options, "revisions") + assert has_selectinload_for(options, "created_by") + assert has_selectinload_for(options, "owners") + assert has_selectinload_for(options, "history") + assert has_selectinload_for(options, "tags") + assert has_noload_for(options, "children") + + +class TestLoadNodeRevisionOptions: + """Tests for load_node_revision_options function.""" + + def test_minimal_fields(self): + """Minimal fields - should noload most relationships.""" + fields = {"displayName": {}} + options = load_node_revision_options(fields) + + assert has_noload_for(options, "columns") + assert has_noload_for(options, "catalog") + assert has_noload_for(options, "parents") + assert has_noload_for(options, "materializations") + assert has_noload_for(options, "metric_metadata") + assert has_noload_for(options, "availability") + assert has_noload_for(options, "dimension_links") + assert has_noload_for(options, "required_dimensions") + assert has_noload_for(options, "cube_elements") + # Always noloaded + assert has_noload_for(options, "created_by") + assert has_noload_for(options, "node") + assert has_noload_for(options, "missing_parents") + + def test_with_columns(self): + """columns field requested - should selectinload with full relationships.""" + fields = {"columns": {"name": {}, "type": {}}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "columns") + + def test_with_primary_key(self): + """primary_key field requested - should also load columns.""" + fields = {"primary_key": {}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "columns") + + def test_with_catalog(self): + """catalog field requested - should joinedload catalog.""" + fields = {"catalog": {"name": {}}} + options = load_node_revision_options(fields) + + assert has_joinedload_for(options, "catalog") + + def test_with_parents(self): + """parents field requested - should selectinload parents.""" + fields = {"parents": {"name": {}}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "parents") + + def test_with_materializations(self): + """materializations field requested - should selectinload.""" + fields = {"materializations": {}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "materializations") + + def test_with_metric_metadata(self): + """metric_metadata field requested - should selectinload.""" + fields = {"metric_metadata": {}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "metric_metadata") + + def test_with_availability(self): + """availability field requested - should selectinload.""" + fields = {"availability": {}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "availability") + + def test_with_dimension_links(self): + """dimension_links field requested - should selectinload.""" + fields = {"dimension_links": {"dimension": {}}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "dimension_links") + + def test_with_required_dimensions(self): + """required_dimensions field requested - should selectinload.""" + fields = {"required_dimensions": {}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "required_dimensions") + + def test_with_cube_metrics(self): + """cube_metrics field requested - should load cube_elements with nested options.""" + fields = {"cube_metrics": {"name": {}, "displayName": {}}} + options = load_node_revision_options(fields) + + # Should load cube_elements for cube_metrics + assert has_selectinload_for(options, "cube_elements") + # Should load minimal columns for cube request + assert has_selectinload_for(options, "columns") + + def test_with_cube_dimensions(self): + """cube_dimensions field requested - should load cube_elements with minimal options.""" + fields = {"cube_dimensions": {"name": {}, "type": {}}} + options = load_node_revision_options(fields) + + # Should load cube_elements for cube_dimensions + assert has_selectinload_for(options, "cube_elements") + # Should load minimal columns for cube request + assert has_selectinload_for(options, "columns") + + def test_with_cube_elements_direct(self): + """cube_elements field requested directly - should selectinload.""" + fields = {"cube_elements": {}} + options = load_node_revision_options(fields) + + assert has_selectinload_for(options, "cube_elements") + + def test_cube_request_loads_minimal_columns(self): + """Cube requests should load columns (for matching cube elements).""" + fields = {"cube_metrics": {"name": {}}} + options = load_node_revision_options(fields) + + # Cube requests should selectinload columns with minimal fields + assert has_selectinload_for(options, "columns") + + def test_query_ast_always_deferred(self): + """query_ast should always be deferred.""" + fields = {"displayName": {}} + options = load_node_revision_options(fields) + + # Check for defer on query_ast + # defer uses ColumnProperty which is at path.path[1] + has_defer = False + for opt in options: + if hasattr(opt, "context") and opt.context: + ctx = opt.context[0] + if hasattr(ctx, "path") and hasattr(ctx.path, "path"): + path_tuple = ctx.path.path + if len(path_tuple) >= 2 and hasattr(path_tuple[1], "key"): + if path_tuple[1].key == "query_ast": + has_defer = True + break + assert has_defer + + +class TestBuildCubeMetricsNodeRevisionOptions: + """Tests for build_cube_metrics_node_revision_options function.""" + + def test_with_no_fields(self): + """No fields requested - should noload all relationships.""" + options = build_cube_metrics_node_revision_options(None) + + assert has_noload_for(options, "columns") + assert has_noload_for(options, "catalog") + assert has_noload_for(options, "metric_metadata") + # Always noloaded + assert has_noload_for(options, "node") + assert has_noload_for(options, "created_by") + assert has_noload_for(options, "missing_parents") + assert has_noload_for(options, "cube_elements") + assert has_noload_for(options, "required_dimensions") + assert has_noload_for(options, "parents") + assert has_noload_for(options, "dimension_links") + assert has_noload_for(options, "availability") + assert has_noload_for(options, "materializations") + + def test_with_columns(self): + """columns field requested - should selectinload with full relationships.""" + fields = {"columns": {"name": {}, "type": {}}} + options = build_cube_metrics_node_revision_options(fields) + + assert has_selectinload_for(options, "columns") + assert has_noload_for(options, "catalog") + assert has_noload_for(options, "metric_metadata") + + def test_with_catalog(self): + """catalog field requested - should joinedload catalog.""" + fields = {"catalog": {"name": {}}} + options = build_cube_metrics_node_revision_options(fields) + + assert has_noload_for(options, "columns") + assert has_joinedload_for(options, "catalog") + assert has_noload_for(options, "metric_metadata") + + def test_with_metric_metadata(self): + """metric_metadata field requested - should selectinload.""" + fields = {"metric_metadata": {}} + options = build_cube_metrics_node_revision_options(fields) + + assert has_noload_for(options, "columns") + assert has_noload_for(options, "catalog") + assert has_selectinload_for(options, "metric_metadata") + + def test_with_all_fields(self): + """All supported fields requested.""" + fields = { + "columns": {"name": {}}, + "catalog": {"name": {}}, + "metric_metadata": {}, + } + options = build_cube_metrics_node_revision_options(fields) + + assert has_selectinload_for(options, "columns") + assert has_joinedload_for(options, "catalog") + assert has_selectinload_for(options, "metric_metadata") + + def test_always_noloads_heavy_relationships(self): + """Should always noload relationships not needed for cube_metrics.""" + fields = {"columns": {}, "catalog": {}, "metric_metadata": {}} + options = build_cube_metrics_node_revision_options(fields) + + # These should always be noloaded regardless of what's requested + assert has_noload_for(options, "node") + assert has_noload_for(options, "created_by") + assert has_noload_for(options, "missing_parents") + assert has_noload_for(options, "cube_elements") + assert has_noload_for(options, "required_dimensions") + assert has_noload_for(options, "parents") + assert has_noload_for(options, "dimension_links") + assert has_noload_for(options, "availability") + assert has_noload_for(options, "materializations") + + +class TestBuildCubeDimensionsNodeRevisionOptions: + """Tests for build_cube_dimensions_node_revision_options function.""" + + def test_returns_minimal_options(self): + """Should return minimal options - only id, name, type.""" + options = build_cube_dimensions_node_revision_options() + + # Should have load_only for id, name, type + has_load_only = any( + isinstance(opt, type(load_only(DBNodeRevision.id))) for opt in options + ) + assert has_load_only + # The function uses load_only, check that it's in the options + assert len(options) > 0 + + def test_noloads_all_relationships(self): + """Should noload all relationships.""" + options = build_cube_dimensions_node_revision_options() + + assert has_noload_for(options, "columns") + assert has_noload_for(options, "catalog") + assert has_noload_for(options, "metric_metadata") + assert has_noload_for(options, "node") + assert has_noload_for(options, "created_by") + assert has_noload_for(options, "missing_parents") + assert has_noload_for(options, "cube_elements") + assert has_noload_for(options, "required_dimensions") + assert has_noload_for(options, "parents") + assert has_noload_for(options, "dimension_links") + assert has_noload_for(options, "availability") + assert has_noload_for(options, "materializations") + + +class TestLoadOptionsIntegration: + """Integration tests for load options working together.""" + + def test_nested_current_with_cube_metrics(self): + """Test load_node_options with nested cube_metrics in current.""" + fields = { + "name": {}, + "current": { + "displayName": {}, + "cube_metrics": {"name": {}, "displayName": {}}, + }, + } + options = load_node_options(fields) + + # Should load current with nested options + assert has_joinedload_for(options, "current") + # Should noload everything else at node level + assert has_noload_for(options, "revisions") + assert has_noload_for(options, "created_by") + assert has_noload_for(options, "owners") + assert has_noload_for(options, "tags") + + def test_full_cube_query_fields(self): + """Test with fields matching a full cube query.""" + fields = { + "name": {}, + "tags": {"name": {}}, + "created_by": {"username": {}}, + "current": { + "description": {}, + "displayName": {}, + "cube_metrics": { + "name": {}, + "version": {}, + "type": {}, + "displayName": {}, + "updatedAt": {}, + "id": {}, + }, + "cube_dimensions": { + "name": {}, + "type": {}, + "role": {}, + "dimensionNode": {"name": {}}, + "attribute": {}, + }, + }, + } + options = load_node_options(fields) + + # Should load tags and created_by + assert has_selectinload_for(options, "tags") + assert has_selectinload_for(options, "created_by") + # Should load current + assert has_joinedload_for(options, "current") + # Should noload unused relationships + assert has_noload_for(options, "revisions") + assert has_noload_for(options, "owners") + assert has_noload_for(options, "history") diff --git a/datajunction-server/tests/api/graphql/resolvers/test_node_resolver.py b/datajunction-server/tests/api/graphql/resolvers/test_node_resolver.py new file mode 100644 index 000000000..9543666e0 --- /dev/null +++ b/datajunction-server/tests/api/graphql/resolvers/test_node_resolver.py @@ -0,0 +1,66 @@ +"""Tests for the Node and NodeRevision resolvers.""" + +from unittest import mock + + +def test_columns_resolver_filters_by_attribute(): + """ + Test that the columns resolver filters columns by attribute + """ + mock_column = mock.MagicMock() + from datajunction_server.api.graphql.scalars.node import NodeRevision + from datajunction_server.database import ( + NodeRevision as DBNodeRevision, + ColumnAttribute, + AttributeType, + ) + from datajunction_server.database.column import Column + + import datajunction_server.sql.parsing.types as ct + from datajunction_server.models.node_type import NodeType + + primary_key_attribute = AttributeType(namespace="system", name="primary_key") + dimension_attribute = AttributeType(namespace="system", name="dimension") + db_node_revision = DBNodeRevision( + name="source_rev", + type=NodeType.SOURCE, + version="1", + columns=[ + Column( + name="random_primary_key", + type=ct.StringType(), + attributes=[ColumnAttribute(attribute_type=primary_key_attribute)], + order=0, + ), + Column( + name="user_id", + type=ct.IntegerType(), + attributes=[ColumnAttribute(attribute_type=dimension_attribute)], + order=2, + ), + Column( + name="foo", + type=ct.FloatType(), + order=3, + ), + ], + ) + + mock_node = mock.MagicMock() + mock_node.columns = [mock_column] + + result = NodeRevision.columns( + NodeRevision, + root=db_node_revision, + attributes=["primary_key"], + ) + assert len(result) == 1 + assert result[0].name == "random_primary_key" + + result = NodeRevision.columns( + NodeRevision, + root=db_node_revision, + attributes=["dimension"], + ) + assert len(result) == 1 + assert result[0].name == "user_id" diff --git a/datajunction-server/tests/api/graphql/resolvers/test_node_resolvers.py b/datajunction-server/tests/api/graphql/resolvers/test_node_resolvers.py new file mode 100644 index 000000000..a97670d25 --- /dev/null +++ b/datajunction-server/tests/api/graphql/resolvers/test_node_resolvers.py @@ -0,0 +1,96 @@ +import pytest +from unittest.mock import AsyncMock, MagicMock, patch +from datajunction_server.api.graphql.resolvers.nodes import ( + resolve_metrics_and_dimensions, +) +from datajunction_server.api.graphql.scalars.sql import CubeDefinition +from datajunction_server.errors import DJNodeNotFound + + +@pytest.mark.asyncio +async def test_no_cube_metrics_dimensions_passed(): + session = AsyncMock() + cube_def = CubeDefinition( + cube=None, + metrics=["metric1", "metric2"], + dimensions=["dim1", "dim2"], + ) + + metrics, dimensions = await resolve_metrics_and_dimensions(session, cube_def) + + assert metrics == ["metric1", "metric2"] + assert dimensions == ["dim1", "dim2"] + + +@pytest.mark.asyncio +@patch("datajunction_server.api.graphql.resolvers.nodes.DBNode.get_cube_by_name") +async def test_cube_found_merges_metrics_and_dimensions( + mock_get_cube, + session=AsyncMock(), +): + cube_def = CubeDefinition( + cube="my_cube", + metrics=["metric2", "metric3"], + dimensions=["dim2", "dim3"], + ) + + # Mock the cube_node with current having cube_node_metrics and cube_node_dimensions + mock_cube_node = MagicMock() + mock_cube_node.current.cube_node_metrics = ["metric1", "metric2"] + mock_cube_node.current.cube_node_dimensions = ["dim1", "dim2"] + + mock_get_cube.return_value = mock_cube_node + + metrics, dimensions = await resolve_metrics_and_dimensions(session, cube_def) + + # Metrics should be cube_node's metrics plus any not duplicated from cube_def.metrics + assert metrics == ["metric1", "metric2", "metric3"] + # Dimensions similarly + assert dimensions == ["dim1", "dim2", "dim3"] + + +@pytest.mark.asyncio +@patch("datajunction_server.api.graphql.resolvers.nodes.DBNode.get_cube_by_name") +async def test_cube_not_found_raises(mock_get_cube, session=AsyncMock()): + cube_def = CubeDefinition( + cube="missing_cube", + metrics=["metric1"], + dimensions=["dim1"], + ) + + mock_get_cube.return_value = None + + with pytest.raises(DJNodeNotFound) as e: + await resolve_metrics_and_dimensions(session, cube_def) + assert "missing_cube" in str(e.value) + + +@pytest.mark.asyncio +@patch("datajunction_server.api.graphql.resolvers.nodes.DBNode.get_cube_by_name") +async def test_metrics_deduplication(mock_get_cube, session=AsyncMock()): + cube_def = CubeDefinition( + cube="cube1", + metrics=["metric1", "metric2", "metric1", "metric3"], + dimensions=None, + ) + + mock_cube_node = MagicMock() + mock_cube_node.current.cube_node_metrics = ["metric2", "metric4"] + mock_cube_node.current.cube_node_dimensions = [] + + mock_get_cube.return_value = mock_cube_node + + metrics, dimensions = await resolve_metrics_and_dimensions(session, cube_def) + + # Deduplication preserves order with cube node metrics first + assert metrics == ["metric2", "metric4", "metric1", "metric3"] + assert dimensions == [] + + +@pytest.mark.asyncio +async def test_empty_metrics_and_dimensions_defaults(): + session = AsyncMock() + cube_def = CubeDefinition(cube=None, metrics=None, dimensions=None) + metrics, dimensions = await resolve_metrics_and_dimensions(session, cube_def) + assert metrics == [] + assert dimensions == [] diff --git a/datajunction-server/tests/api/graphql/tags_test.py b/datajunction-server/tests/api/graphql/tags_test.py new file mode 100644 index 000000000..4e27abfde --- /dev/null +++ b/datajunction-server/tests/api/graphql/tags_test.py @@ -0,0 +1,313 @@ +""" +Tests for tags GQL queries. +""" + +import pytest +import pytest_asyncio +from httpx import AsyncClient + + +@pytest_asyncio.fixture +async def client_with_tags( + client_with_roads: AsyncClient, +) -> AsyncClient: + """ + Provides a DJ client fixture seeded with tags + """ + await client_with_roads.post( + "/tags/", + json={ + "name": "sales_report", + "display_name": "Sales Report", + "description": "All metrics for sales", + "tag_type": "report", + "tag_metadata": {}, + }, + ) + await client_with_roads.post( + "/tags/", + json={ + "name": "other_report", + "display_name": "Other Report", + "description": "Random", + "tag_type": "report", + "tag_metadata": {}, + }, + ) + await client_with_roads.post( + "/tags/", + json={ + "name": "coffee", + "display_name": "Coffee", + "description": "A drink", + "tag_type": "drinks", + "tag_metadata": {}, + }, + ) + await client_with_roads.post( + "/tags/", + json={ + "name": "tea", + "display_name": "Tea", + "description": "Another drink", + "tag_type": "drinks", + "tag_metadata": {}, + }, + ) + + await client_with_roads.post( + "/nodes/default.total_repair_cost/tags/?tag_names=sales_report", + ) + await client_with_roads.post( + "/nodes/default.avg_repair_price/tags/?tag_names=sales_report", + ) + await client_with_roads.post( + "/nodes/default.num_repair_orders/tags/?tag_names=other_report", + ) + return client_with_roads + + +@pytest.mark.asyncio +async def test_list_tags( + client_with_tags: AsyncClient, +) -> None: + """ + Test listing tags + """ + query = """ + { + listTags { + name + description + displayName + tagType + tagMetadata + } + } + """ + response = await client_with_tags.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == { + "data": { + "listTags": [ + { + "description": "All metrics for sales", + "displayName": "Sales Report", + "name": "sales_report", + "tagMetadata": {}, + "tagType": "report", + }, + { + "description": "Random", + "displayName": "Other Report", + "name": "other_report", + "tagMetadata": {}, + "tagType": "report", + }, + { + "description": "A drink", + "displayName": "Coffee", + "name": "coffee", + "tagMetadata": {}, + "tagType": "drinks", + }, + { + "description": "Another drink", + "displayName": "Tea", + "name": "tea", + "tagMetadata": {}, + "tagType": "drinks", + }, + ], + }, + } + + +@pytest.mark.asyncio +async def test_list_tag_types( + client_with_tags: AsyncClient, +) -> None: + """ + Test listing tag types + """ + query = """ + { + listTagTypes + } + """ + response = await client_with_tags.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == {"data": {"listTagTypes": ["report", "drinks"]}} + + +@pytest.mark.asyncio +async def test_find_tags_by_type( + client_with_tags: AsyncClient, +) -> None: + """ + Test finding tags by tag type + """ + query = """ + { + listTags(tagTypes: ["drinks"]) { + name + } + } + """ + response = await client_with_tags.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == {"data": {"listTags": [{"name": "coffee"}, {"name": "tea"}]}} + + query = """ + { + listTags(tagTypes: ["report"]) { + name + } + } + """ + response = await client_with_tags.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == { + "data": {"listTags": [{"name": "sales_report"}, {"name": "other_report"}]}, + } + + query = """ + { + listTags(tagTypes: ["random"]) { + name + } + } + """ + response = await client_with_tags.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == {"data": {"listTags": []}} + + +@pytest.mark.asyncio +async def test_find_tags_by_name( + client_with_tags: AsyncClient, +) -> None: + """ + Test finding tags by tag type + """ + query = """ + { + listTags(tagNames: ["coffee", "tea"]) { + name + } + } + """ + response = await client_with_tags.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == {"data": {"listTags": [{"name": "coffee"}, {"name": "tea"}]}} + + +@pytest.mark.asyncio +async def test_tag_get_nodes( + client_with_tags: AsyncClient, +) -> None: + """ + Test listing tags + """ + query = """ + { + listTags (tagNames: ["sales_report"]) { + name + nodes { + name + current { + columns { + name + } + } + } + } + } + """ + response = await client_with_tags.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == { + "data": { + "listTags": [ + { + "name": "sales_report", + "nodes": [ + { + "current": { + "columns": [ + { + "name": "default_DOT_avg_repair_price", + }, + ], + }, + "name": "default.avg_repair_price", + }, + { + "current": { + "columns": [ + { + "name": "default_DOT_total_repair_cost", + }, + ], + }, + "name": "default.total_repair_cost", + }, + ], + }, + ], + }, + } + + query = """ + { + listTags { + name + nodes { + name + } + } + } + """ + response = await client_with_tags.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + assert data == { + "data": { + "listTags": [ + { + "name": "sales_report", + "nodes": [ + { + "name": "default.avg_repair_price", + }, + { + "name": "default.total_repair_cost", + }, + ], + }, + { + "name": "other_report", + "nodes": [ + { + "name": "default.num_repair_orders", + }, + ], + }, + { + "name": "coffee", + "nodes": [], + }, + { + "name": "tea", + "nodes": [], + }, + ], + }, + } diff --git a/datajunction-server/tests/api/graphql/upstream_nodes_test.py b/datajunction-server/tests/api/graphql/upstream_nodes_test.py new file mode 100644 index 000000000..a912f47ee --- /dev/null +++ b/datajunction-server/tests/api/graphql/upstream_nodes_test.py @@ -0,0 +1,321 @@ +""" +Tests for the upstream nodes GraphQL query. +""" + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_upstream_nodes_overlapping_parents( + client_with_roads: AsyncClient, +) -> None: + """ + Test upstreams for multiple metrics where one metric's parent transform + is also an upstream of another metric's parent transform. + + This creates a diamond pattern: + source_data (SOURCE) + to + base_transform (TRANSFORM) + to + derived_transform (TRANSFORM) + + metric_on_base (METRIC) → base_transform + metric_on_derived (METRIC) → derived_transform → base_transform + """ + client = client_with_roads + + # Create source + response = await client.post( + "/nodes/source/", + json={ + "name": "default.diamond_source", + "description": "Source for diamond pattern test", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "value", "type": "int"}, + ], + "catalog": "default", + "schema_": "roads", + "table": "diamond_source", + "mode": "published", + }, + ) + assert response.status_code == 200 + + # Create base transform (T1) + response = await client.post( + "/nodes/transform/", + json={ + "name": "default.diamond_base_transform", + "description": "Base transform", + "query": "SELECT id, value FROM default.diamond_source", + "mode": "published", + }, + ) + assert response.status_code == 201 + + # Create derived transform (T2) that depends on T1 + response = await client.post( + "/nodes/transform/", + json={ + "name": "default.diamond_derived_transform", + "description": "Derived transform that depends on base", + "query": "SELECT id, value * 2 as doubled FROM default.diamond_base_transform", + "mode": "published", + }, + ) + assert response.status_code == 201 + + # Create metric M1 on base transform + response = await client.post( + "/nodes/metric/", + json={ + "name": "default.diamond_metric_base", + "description": "Metric on base transform", + "query": "SELECT sum(value) FROM default.diamond_base_transform", + "mode": "published", + }, + ) + assert response.status_code == 201 + + # Create metric M2 on derived transform + response = await client.post( + "/nodes/metric/", + json={ + "name": "default.diamond_metric_derived", + "description": "Metric on derived transform", + "query": "SELECT sum(doubled) FROM default.diamond_derived_transform", + "mode": "published", + }, + ) + assert response.status_code == 201 + + # Query upstreams for both metrics - this should hit the deduplication branch + query = """ + { + upstreamNodes(nodeNames: ["default.diamond_metric_base", "default.diamond_metric_derived"]) { + name + type + } + } + """ + response = await client.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + upstream_names = {node["name"] for node in data["data"]["upstreamNodes"]} + + # Should include all upstreams, deduplicated + assert "default.diamond_source" in upstream_names + assert "default.diamond_base_transform" in upstream_names + assert "default.diamond_derived_transform" in upstream_names + + # base_transform should appear exactly once (not duplicated) + base_transform_count = sum( + 1 + for node in data["data"]["upstreamNodes"] + if node["name"] == "default.diamond_base_transform" + ) + assert base_transform_count == 1 + + +@pytest.mark.asyncio +async def test_upstream_nodes( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding upstream nodes by node type + """ + + # of SOURCE type + query = """ + { + upstreamNodes(nodeNames: ["default.repair_orders_fact"], nodeType: SOURCE) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + upstream_names = {node["name"] for node in data["data"]["upstreamNodes"]} + assert "default.repair_orders" in upstream_names + assert "default.repair_order_details" in upstream_names + for node in data["data"]["upstreamNodes"]: + assert node["type"] == "SOURCE" + + # of any type + query = """ + { + upstreamNodes(nodeNames: ["default.num_repair_orders"], nodeType: null) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + upstream_names = {node["name"] for node in data["data"]["upstreamNodes"]} + # The metric should have the transform as an upstream + assert "default.repair_orders_fact" in upstream_names + + +@pytest.mark.asyncio +async def test_upstream_nodes_multiple_inputs( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding upstream nodes from multiple input nodes. + """ + query = """ + { + upstreamNodes(nodeNames: ["default.num_repair_orders", "default.avg_repair_price"], nodeType: SOURCE) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + upstream_names = {node["name"] for node in data["data"]["upstreamNodes"]} + # Should include sources upstream of both metrics (deduplicated) + assert "default.repair_orders" in upstream_names + assert "default.repair_order_details" in upstream_names + for node in data["data"]["upstreamNodes"]: + assert node["type"] == "SOURCE" + + +@pytest.mark.asyncio +async def test_upstream_nodes_deactivated( + client_with_roads: AsyncClient, +) -> None: + """ + Test finding upstream nodes with and without deactivated nodes. + """ + # First deactivate a node that is upstream of the metric + response = await client_with_roads.delete( + "/nodes/default.repair_orders_fact", + ) + assert response.status_code == 200 + + # Without deactivated nodes + query = """ + { + upstreamNodes(nodeNames: ["default.num_repair_orders"], nodeType: null, includeDeactivated: false) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + upstream_names = {node["name"] for node in data["data"]["upstreamNodes"]} + assert "default.repair_orders_fact" not in upstream_names + + # With deactivated nodes + query = """ + { + upstreamNodes(nodeNames: ["default.num_repair_orders"], nodeType: null, includeDeactivated: true) { + name + type + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + upstream_names = {node["name"] for node in data["data"]["upstreamNodes"]} + assert "default.repair_orders_fact" in upstream_names + + +@pytest.mark.asyncio +async def test_upstream_nodes_with_nested_fields( + client_with_roads: AsyncClient, +) -> None: + """ + Test upstream nodes query with nested fields that require database joins. + This tests that load_node_options correctly builds options based on the + requested GraphQL fields (tags, owners, current.columns, etc.). + """ + # Query with many nested fields that require joins + # Use includeDeactivated: true since earlier tests may have deactivated nodes + query = """ + { + upstreamNodes(nodeNames: ["default.num_repair_orders"], includeDeactivated: true) { + name + type + tags { + name + tagType + } + owners { + username + } + current { + displayName + status + description + columns { + name + type + } + parents { + name + } + } + } + } + """ + + response = await client_with_roads.post("/graphql", json={"query": query}) + assert response.status_code == 200 + data = response.json() + + # Verify we got results + upstreams = data["data"]["upstreamNodes"] + assert len(upstreams) > 0 + + # Find the repair_orders_fact transform (immediate parent of the metric) + repair_orders_fact = next( + (n for n in upstreams if n["name"] == "default.repair_orders_fact"), + None, + ) + assert repair_orders_fact is not None + + # Verify nested fields are populated + assert repair_orders_fact["type"] == "TRANSFORM" + assert repair_orders_fact["current"] is not None + assert repair_orders_fact["current"]["status"] == "VALID" + assert repair_orders_fact["current"]["displayName"] == "Repair Orders Fact" + + # Verify columns are loaded (requires selectinload) + columns = repair_orders_fact["current"]["columns"] + assert columns is not None + assert len(columns) > 0 + column_names = {c["name"] for c in columns} + assert "repair_order_id" in column_names + + # Verify parents are loaded (requires selectinload) + parents = repair_orders_fact["current"]["parents"] + assert parents is not None + assert len(parents) > 0 + + # Find a source node and verify its fields + source_node = next( + (n for n in upstreams if n["type"] == "SOURCE"), + None, + ) + assert source_node is not None + assert source_node["current"] is not None + assert source_node["current"]["columns"] is not None diff --git a/datajunction-server/tests/api/graphql/utils_test.py b/datajunction-server/tests/api/graphql/utils_test.py new file mode 100644 index 000000000..25b19ad79 --- /dev/null +++ b/datajunction-server/tests/api/graphql/utils_test.py @@ -0,0 +1,33 @@ +import pytest +from datajunction_server.api.graphql.utils import convert_camel_case, dedupe_append + + +@pytest.mark.parametrize( + "input_str, expected", + [ + ("camelCase", "camel_case"), + ("CamelCase", "camel_case"), + ("HttpRequest", "http_request"), + ("getUrlFromHtml", "get_url_from_html"), + ("already_snake_case", "already_snake_case"), + ("single", "single"), + ("", ""), + ], +) +def test_convert_camel_case(input_str, expected): + assert convert_camel_case(input_str) == expected + + +@pytest.mark.parametrize( + "base, extras, expected", + [ + (["a", "b"], ["c", "d"], ["a", "b", "c", "d"]), # no duplicates + (["a", "b"], ["b", "c"], ["a", "b", "c"]), # some duplicates + (["a", "b"], ["a", "b"], ["a", "b"]), # all duplicates + ([], ["x", "y"], ["x", "y"]), # empty base + (["x", "y"], [], ["x", "y"]), # empty extras + ([], [], []), # both empty + ], +) +def test_dedupe_append(base, extras, expected): + assert dedupe_append(base, extras) == expected diff --git a/datajunction-server/tests/api/groups_test.py b/datajunction-server/tests/api/groups_test.py new file mode 100644 index 000000000..5d04d7149 --- /dev/null +++ b/datajunction-server/tests/api/groups_test.py @@ -0,0 +1,342 @@ +""" +Tests for groups API endpoints. +""" + +import pytest +from httpx import AsyncClient + + +# Group Registration Tests + + +@pytest.mark.asyncio +async def test_register_group(module__client: AsyncClient) -> None: + """Test registering a new group.""" + response = await module__client.post( + "/groups/", + params={ + "username": "eng-team", + "email": "eng-team@company.com", + "name": "Engineering Team", + }, + ) + + assert response.status_code == 201 + data = response.json() + assert data["username"] == "eng-team" + assert data["email"] == "eng-team@company.com" + assert data["name"] == "Engineering Team" + + +@pytest.mark.asyncio +async def test_register_group_minimal(module__client: AsyncClient) -> None: + """Test registering a group with minimal info.""" + response = await module__client.post( + "/groups/", + params={"username": "data-team"}, + ) + + assert response.status_code == 201 + data = response.json() + assert data["username"] == "data-team" + assert data["name"] == "data-team" # Defaults to username + + +@pytest.mark.asyncio +async def test_register_duplicate_group(module__client: AsyncClient) -> None: + """Test that registering a duplicate group fails.""" + # Register once + await module__client.post( + "/groups/", + params={"username": "duplicate-group"}, + ) + + # Try to register again + response = await module__client.post( + "/groups/", + params={"username": "duplicate-group"}, + ) + + assert response.status_code == 409 + assert response.json()["message"] == "Group duplicate-group already exists" + + +# List Groups Tests + + +@pytest.mark.asyncio +async def test_list_groups_empty(module__client: AsyncClient) -> None: + """Test listing groups when none exist.""" + response = await module__client.get("/groups/") + + assert response.status_code == 200 + assert isinstance(response.json(), list) + + +@pytest.mark.asyncio +async def test_list_groups_with_data(module__client: AsyncClient) -> None: + """Test listing groups returns registered groups.""" + # Register a few groups + await module__client.post("/groups/", params={"username": "team-a"}) + await module__client.post("/groups/", params={"username": "team-b"}) + await module__client.post("/groups/", params={"username": "team-c"}) + + response = await module__client.get("/groups/") + + assert response.status_code == 200 + groups = response.json() + assert len(groups) >= 3 + + usernames = [g["username"] for g in groups] + assert "team-a" in usernames + assert "team-b" in usernames + assert "team-c" in usernames + + +# Get Group Tests + + +@pytest.mark.asyncio +async def test_get_group_success(module__client: AsyncClient) -> None: + """Test getting a specific group.""" + # Register group + await module__client.post( + "/groups/", + params={ + "username": "test-group", + "name": "Test Group", + }, + ) + + # Get group + response = await module__client.get("/groups/test-group") + + assert response.status_code == 200 + data = response.json() + assert data["email"] is None + assert data["username"] == "test-group" + assert data["name"] == "Test Group" + + +@pytest.mark.asyncio +async def test_get_nonexistent_group(module__client: AsyncClient) -> None: + """Test getting a group that doesn't exist.""" + response = await module__client.get("/groups/nonexistent") + + assert response.status_code == 404 + assert "not found" in response.json()["detail"] + + +# Group Membership Tests (Postgres Provider) + + +@pytest.mark.asyncio +async def test_add_group_member_success( + module__client: AsyncClient, +) -> None: + """Test adding a member to a group (Postgres provider).""" + # Register group + await module__client.post("/groups/", params={"username": "eng"}) + + # Register user (create via node to ensure user exists) + # For now, just test the endpoint behavior + response = await module__client.post( + "/groups/eng/members/", + params={"member_username": "dj"}, + ) + assert response.status_code == 201 + assert response.json()["message"] == "Added dj to eng" + + # Check user is in members + response = await module__client.get("/groups/eng/members") + assert [user["username"] for user in response.json()] == ["dj"] + + # Add non-existent user to group + response = await module__client.post( + "/groups/eng/members/", + params={"member_username": "someuser"}, + ) + assert response.status_code == 404 + assert response.json()["message"] == "User someuser not found" + + # Try to add user to the group again + response = await module__client.post( + "/groups/eng/members/", + params={"member_username": "dj"}, + ) + assert response.status_code == 409 + assert response.json()["detail"] == "dj is already a member of eng" + + +@pytest.mark.asyncio +async def test_add_group_member_static_provider( + module__client: AsyncClient, + mocker, +) -> None: + """Test that adding members fails with static provider.""" + # Mock static provider + mock_settings = mocker.patch("datajunction_server.api.groups.settings") + mock_settings.group_membership_provider = "static" + + # Register group + await module__client.post("/groups/", params={"username": "test-group"}) + + # Try to add member + response = await module__client.post( + "/groups/test-group/members/", + params={"member_username": "dj"}, + ) + assert response.status_code == 400 + assert ( + response.json()["detail"] + == "Membership management not supported for provider: static" + ) + + +@pytest.mark.asyncio +async def test_add_member_to_nonexistent_group( + module__client: AsyncClient, +) -> None: + """Test adding member to a group that doesn't exist.""" + response = await module__client.post( + "/groups/nonexistent/members/", + params={"member_username": "someuser"}, + ) + + assert response.status_code == 404 + assert response.json()["message"] == "Group nonexistent not found" + + +@pytest.mark.asyncio +async def test_remove_group_member( + module__client: AsyncClient, +) -> None: + """Test removing a member from a group.""" + # Try removing a member from a non-existent group + response = await module__client.delete("/groups/lifecycle-group/members/someuser") + assert response.status_code == 404 + assert response.json()["message"] == "Group lifecycle-group not found" + + # Register group + await module__client.post("/groups/", params={"username": "test-group"}) + + # Add member to group + response = await module__client.post( + "/groups/test-group/members/", + params={"member_username": "dj"}, + ) + + # Try to remove member + response = await module__client.delete("/groups/test-group/members/dj") + assert response.status_code == 204 + + # Try to remove member again (should raise) + response = await module__client.delete("/groups/test-group/members/dj") + assert response.status_code == 404 + assert response.json()["detail"] == "dj is not a member of test-group" + + # Try to remove non-existent user + response = await module__client.delete("/groups/test-group/members/someuser") + assert response.status_code == 404 + assert response.json()["message"] == "User someuser not found" + + +@pytest.mark.asyncio +async def test_remove_member_static_provider( + module__client: AsyncClient, + mocker, +) -> None: + """Test that removing members fails with static provider.""" + # Mock static provider + mock_settings = mocker.patch("datajunction_server.api.groups.settings") + mock_settings.group_membership_provider = "static" + + # Register group + await module__client.post("/groups/", params={"username": "test-group"}) + + # Add user to group + response = await module__client.post( + "/groups/test-group/members/", + params={"member_username": "dj"}, + ) + + # Try to remove user from group + response = await module__client.delete("/groups/test-group/members/dj") + assert response.status_code == 400 + assert ( + response.json()["detail"] + == "Membership management not supported for provider: static" + ) + + +@pytest.mark.asyncio +async def test_list_group_members_postgres( + module__client: AsyncClient, +) -> None: + """Test listing group members with Postgres provider.""" + # Register group + await module__client.post("/groups/", params={"username": "test-group"}) + + # List members + response = await module__client.get("/groups/test-group/members/") + + assert response.status_code == 200 + assert isinstance(response.json(), list) + + +@pytest.mark.asyncio +async def test_list_group_members_static( + module__client: AsyncClient, + mocker, +) -> None: + """Test listing group members with static provider returns empty.""" + # Mock static provider + mock_settings = mocker.patch("datajunction_server.api.groups.settings") + mock_settings.group_membership_provider = "static" + + # Register group + await module__client.post("/groups/", params={"username": "test-group"}) + + # List members + response = await module__client.get("/groups/test-group/members/") + + assert response.status_code == 200 + assert response.json() == [] # Empty for static provider + + +@pytest.mark.asyncio +async def test_list_members_nonexistent_group(module__client: AsyncClient) -> None: + """Test listing members of a nonexistent group.""" + response = await module__client.get("/groups/nonexistent/members/") + + assert response.status_code == 404 + assert "not found" in response.json()["detail"] + + +@pytest.mark.asyncio +async def test_group_lifecycle( + module__client: AsyncClient, +) -> None: + """Test complete group lifecycle: register -> list -> get -> delete""" + # Register group + response = await module__client.post( + "/groups/", + params={ + "username": "lifecycle-group", + "email": "lifecycle@test.com", + "name": "Lifecycle Test Group", + }, + ) + assert response.status_code == 201 + + # Verify it appears in list + response = await module__client.get("/groups/") + assert response.status_code == 200 + usernames = [g["username"] for g in response.json()] + assert "lifecycle-group" in usernames + + # Get specific group + response = await module__client.get("/groups/lifecycle-group") + assert response.status_code == 200 + assert response.json()["username"] == "lifecycle-group" + assert response.json()["email"] == "lifecycle@test.com" diff --git a/datajunction-server/tests/api/health_test.py b/datajunction-server/tests/api/health_test.py new file mode 100644 index 000000000..bbeaad38f --- /dev/null +++ b/datajunction-server/tests/api/health_test.py @@ -0,0 +1,36 @@ +""" +Tests for the healthcheck API. +""" + +import asyncio + +import pytest +from httpx import AsyncClient +from sqlalchemy.ext.asyncio import AsyncSession + + +@pytest.mark.asyncio +async def test_successful_health(module__client: AsyncClient) -> None: + """ + Test ``GET /health/``. + """ + response = await module__client.get("/health/") + data = response.json() + assert data == [{"name": "database", "status": "ok"}] + + +@pytest.mark.asyncio +async def test_failed_health( + session: AsyncSession, + client: AsyncClient, + mocker, +) -> None: + """ + Test failed healthcheck. + """ + future: asyncio.Future = asyncio.Future() + future.set_result(mocker.MagicMock()) + session.execute = mocker.MagicMock(return_value=future) + response = await client.get("/health/") + data = response.json() + assert data == [{"name": "database", "status": "failed"}] diff --git a/datajunction-server/tests/api/helpers_test.py b/datajunction-server/tests/api/helpers_test.py new file mode 100644 index 000000000..78e745eeb --- /dev/null +++ b/datajunction-server/tests/api/helpers_test.py @@ -0,0 +1,240 @@ +""" +Tests for API helpers. +""" + +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +from sqlalchemy import select +from sqlalchemy.orm import selectinload + +from datajunction_server.api import helpers +from datajunction_server.api.helpers import find_required_dimensions +from datajunction_server.internal import sql +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import OAuthProvider, User +from datajunction_server.errors import DJDoesNotExistException, DJException +from datajunction_server.internal.nodes import propagate_valid_status +from datajunction_server.models.node import NodeStatus + + +@pytest.mark.asyncio +async def test_raise_get_node_when_node_does_not_exist(module__session: AsyncSession): + """ + Test raising when a node doesn't exist + """ + with pytest.raises(DJException) as exc_info: + await helpers.get_node_by_name( + session=module__session, + name="foo", + raise_if_not_exists=True, + ) + + assert "A node with name `foo` does not exist." in str(exc_info.value) + with pytest.raises(DJException) as exc_info: + await Node.get_by_name( + session=module__session, + name="foo", + raise_if_not_exists=True, + ) + + assert "A node with name `foo` does not exist." in str(exc_info.value) + + +@pytest.mark.asyncio +async def test_propagate_valid_status(module__session: AsyncSession): + """ + Test raising when trying to propagate a valid status using an invalid node + """ + invalid_node = NodeRevision( + name="foo", + status=NodeStatus.INVALID, + ) + example_user = User( + id=1, + username="userfoo", + password="passwordfoo", + name="djuser", + email="userfoo@datajunction.io", + oauth_provider=OAuthProvider.BASIC, + ) + with pytest.raises(DJException) as exc_info: + await propagate_valid_status( + session=module__session, + valid_nodes=[invalid_node], + catalog_id=1, + current_user=example_user, + save_history=MagicMock(), + ) + + assert "Cannot propagate valid status: Node `foo` is not valid" in str( + exc_info.value, + ) + + +@pytest.mark.asyncio +async def test_get_node_namespace(): + """ + Test getting a node's namespace + """ + # success + mock_execute = AsyncMock(scalar_one_or_none=MagicMock(return_value="bar")) + mock_session = AsyncMock(execute=AsyncMock(return_value=mock_execute)) + namespace = await helpers.get_node_namespace( + session=mock_session, + namespace="foo", + raise_if_not_exists=True, + ) + assert namespace == "bar" + # error + mock_execute = AsyncMock(scalar_one_or_none=MagicMock(return_value=None)) + mock_session = AsyncMock(execute=AsyncMock(return_value=mock_execute)) + with pytest.raises(DJDoesNotExistException) as exc_info: + namespace = await helpers.get_node_namespace( + session=mock_session, + namespace="foo", + raise_if_not_exists=True, + ) + assert "node namespace `foo` does not exist" in str(exc_info.value) + + +@pytest.mark.asyncio +async def test_find_existing_cube(): + """ + Test finding an existing cube + """ + mock_cube = MagicMock(current="foo-cube") + mock_execute = AsyncMock( + unique=MagicMock( + return_value=MagicMock( + scalars=MagicMock( + return_value=MagicMock(all=MagicMock(return_value=[mock_cube])), + ), + ), + ), + ) + mock_session = AsyncMock(execute=AsyncMock(return_value=mock_execute)) + node = await helpers.find_existing_cube( + session=mock_session, + metric_columns=[], + dimension_columns=[], + materialized=False, + ) + assert node == "foo-cube" + + +@pytest.mark.asyncio +@patch("datajunction_server.internal.sql.ColumnMetadata", MagicMock) +@patch("datajunction_server.internal.sql.validate_cube") +@patch("datajunction_server.internal.sql.Node.get_by_name") +@patch("datajunction_server.internal.sql.find_existing_cube") +@patch("datajunction_server.internal.sql.get_catalog_by_name") +@patch("datajunction_server.internal.sql.build_materialized_cube_node") +@patch("datajunction_server.internal.sql.TranslatedSQL.create", MagicMock) +async def test_build_sql_for_multiple_metrics( + mock_build_materialized_cube_node, + mock_get_catalog_by_name, + mock_find_existing_cube, + mock_get_by_name, + mock_validate_cube, +): + """ + Test building SQL for multiple metrics + """ + mock_build_materialized_cube_node.return_value = MagicMock() + mock_engines = [MagicMock(name="eng1"), MagicMock(name="eng2")] + mock_get_catalog_by_name.return_value = MagicMock(engines=mock_engines) + mock_find_existing_cube.return_value = MagicMock( + availability=MagicMock(catalog="cata-foo"), + ) + mock_get_by_name.return_value = MagicMock( + current=MagicMock(catalog=MagicMock(name="cata-foo", engines=mock_engines)), + ) + mock_metric_columns = [MagicMock(name="col1"), MagicMock(name="col2")] + mock_metric_nodes = ["mnode1", "mnode2"] + dimension_columns = [MagicMock(name="dim1"), MagicMock(name="dim2")] + _ = MagicMock() + mock_validate_cube.return_value = ( + mock_metric_columns, + mock_metric_nodes, + _, + dimension_columns, + _, + ) + mock_session = AsyncMock() + + built_sql = await sql.build_sql_for_multiple_metrics( + session=mock_session, + metrics=["m1", "m2"], + dimensions=[], + ) + assert built_sql is not None + + +@pytest.mark.asyncio +async def test_find_required_dimensions_with_role_suffix( + module__client_with_examples, + module__session: AsyncSession, +): + """ + Test find_required_dimensions with full path that includes role suffix. + """ + # Get an actual dimension node from the database (v3.date has 'week' column) + result = await module__session.execute( + select(Node) + .filter(Node.name == "v3.date") + .options( + selectinload(Node.current).options( + selectinload(NodeRevision.columns), + ), + ), + ) + dim_node = result.scalars().first() + + if dim_node is None: + pytest.skip("v3.date dimension not found in database") + + # Verify the dimension has the 'week' column + col_names = [col.name for col in dim_node.current.columns] + if "week" not in col_names: + pytest.skip("v3.date.week column not found") + + # Test with role suffix - this covers line 282 (stripping [order]) + # and line 323 (matching the column) + invalid_dims, matched_cols = await find_required_dimensions( + session=module__session, + required_dimensions=["v3.date.week[order]"], + parent_columns=[], + ) + + # Should have no invalid dimensions and one matched column + assert len(invalid_dims) == 0, f"Unexpected invalid dims: {invalid_dims}" + assert len(matched_cols) == 1 + assert matched_cols[0].name == "week" + + +@pytest.mark.asyncio +async def test_find_required_dimensions_full_path_match( + module__client_with_examples, + module__session: AsyncSession, +): + """ + Test find_required_dimensions with full path without role suffix. + + This covers line 323: matched_columns.append(dim_col_map[col_name]) + """ + # Test with full path (no role suffix) - this covers line 323 + invalid_dims, matched_cols = await find_required_dimensions( + session=module__session, + required_dimensions=["v3.date.month"], + parent_columns=[], + ) + + # v3.date.month should exist + if len(invalid_dims) > 0: + pytest.skip("v3.date.month not found in database") + + assert len(matched_cols) == 1 + assert matched_cols[0].name == "month" diff --git a/datajunction-server/tests/api/hierarchies_test.py b/datajunction-server/tests/api/hierarchies_test.py new file mode 100644 index 000000000..97fa0c542 --- /dev/null +++ b/datajunction-server/tests/api/hierarchies_test.py @@ -0,0 +1,696 @@ +""" +Integration tests for hierarchy API endpoints. +""" + +from http import HTTPStatus +from unittest import mock + +from httpx import AsyncClient +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.hierarchy import Hierarchy +from datajunction_server.database.history import History +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.internal.history import ActivityType, EntityType + +# Import shared fixtures +from tests.fixtures.hierarchy_fixtures import ( # noqa: F401 + time_catalog, + time_sources, + time_dimensions, + time_dimension_links, + calendar_hierarchy, + fiscal_hierarchy, + day_quarter_link, + month_year_link, +) + + +class TestHierarchiesAPI: + """Integration tests for hierarchy API endpoints.""" + + async def test_list_hierarchies_empty( + self, + client_with_basic: AsyncClient, + ): + """Test listing hierarchies when none exist.""" + response = await client_with_basic.get("/hierarchies/") + assert response.status_code == HTTPStatus.OK + data = response.json() + assert data == [] + + async def test_list_hierarchies_with_data( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + fiscal_hierarchy: Hierarchy, + ): + """Test listing hierarchies with existing data.""" + response = await client_with_basic.get("/hierarchies/") + assert response.status_code == HTTPStatus.OK + data = response.json() + + assert len(data) == 2 + hierarchy_names = {h["name"] for h in data} + assert hierarchy_names == {"calendar_hierarchy", "fiscal_hierarchy"} + + # Check structure of returned data + for hierarchy in data: + assert "name" in hierarchy + assert "display_name" in hierarchy + assert "created_by" in hierarchy + assert "created_at" in hierarchy + assert "level_count" in hierarchy + + async def test_get_hierarchy_by_name( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + ): + """Test getting a specific hierarchy by name.""" + response = await client_with_basic.get("/hierarchies/calendar_hierarchy") + assert response.status_code == HTTPStatus.OK + data = response.json() + + assert data["name"] == "calendar_hierarchy" + assert data["display_name"] == "Calendar Hierarchy" + assert len(data["levels"]) == 4 + + # Verify levels are properly ordered + level_names = [level["name"] for level in data["levels"]] + assert level_names == ["year", "month", "week", "day"] + + # Verify each level has proper structure + for level in data["levels"]: + assert "name" in level + assert "dimension_node" in level + assert "level_order" in level + assert isinstance(level["dimension_node"], dict) + assert "name" in level["dimension_node"] + + async def test_get_nonexistent_hierarchy( + self, + client_with_basic: AsyncClient, + ): + """Test getting a hierarchy that doesn't exist.""" + response = await client_with_basic.get("/hierarchies/nonexistent") + assert response.status_code == HTTPStatus.NOT_FOUND + + async def test_create_hierarchy( + self, + client_with_basic: AsyncClient, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + time_dimension_links, + ): + """Test creating a new hierarchy via API.""" + dimensions, _ = time_dimensions + + hierarchy_data = { + "name": "api_test_hierarchy", + "display_name": "API Test Hierarchy", + "description": "A hierarchy created via API test", + "levels": [ + { + "name": "year", + "dimension_node": "default.year_dim", + }, + { + "name": "quarter", + "dimension_node": "default.quarter_dim", + }, + { + "name": "month", + "dimension_node": "default.month_dim", + }, + ], + } + + response = await client_with_basic.post( + "/hierarchies/", + json=hierarchy_data, + ) + assert response.status_code == HTTPStatus.CREATED + data = response.json() + + assert data["name"] == "api_test_hierarchy" + assert data["display_name"] == "API Test Hierarchy" + assert len(data["levels"]) == 3 + + # Verify the hierarchy can be retrieved + get_response = await client_with_basic.get("/hierarchies/api_test_hierarchy") + assert get_response.status_code == HTTPStatus.OK + + async def test_create_hierarchy_duplicate_name( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test creating a hierarchy with a duplicate name.""" + dimensions, _ = time_dimensions + + hierarchy_data = { + "name": "calendar_hierarchy", # Same name as existing + "display_name": "Duplicate Calendar", + "description": "This should fail", + "levels": [ + { + "name": "year", + "dimension_node": "default.year_dim", + }, + { + "name": "month", + "dimension_node": "default.month_dim", + }, + ], + } + + response = await client_with_basic.post( + "/hierarchies/", + json=hierarchy_data, + ) + assert response.status_code == HTTPStatus.CONFLICT + + async def test_create_hierarchy_invalid_dimension_node( + self, + client_with_basic: AsyncClient, + ): + """Test creating a hierarchy with non-existent dimension node.""" + hierarchy_data = { + "name": "invalid_hierarchy", + "display_name": "Invalid Hierarchy", + "description": "This should fail", + "levels": [ + { + "name": "year", + "dimension_node": "nonexistent.dimension", + }, + { + "name": "month", + "dimension_node": "also.nonexistent", + }, + ], + } + + response = await client_with_basic.post( + "/hierarchies/", + json=hierarchy_data, + ) + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + assert response.json()["message"] == ( + "Hierarchy validation failed: Level 'year': Dimension node 'nonexistent.dimension' " + "does not exist; Level 'month': Dimension node 'also.nonexistent' does not exist" + ) + + async def test_create_hierarchy_validation_errors( + self, + client_with_basic: AsyncClient, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test creating a hierarchy with validation errors.""" + dimensions, _ = time_dimensions + + # Test duplicate level names + hierarchy_data = { + "name": "validation_test", + "display_name": "Validation Test", + "levels": [ + { + "name": "year", + "dimension_node": "default.year_dim", + }, + { + "name": "year", # Duplicate name + "dimension_node": "default.month_dim", + }, + ], + } + + response = await client_with_basic.post( + "/hierarchies/", + json=hierarchy_data, + ) + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + # Pydantic catches duplicate names + data = response.json() + assert "Level names must be unique" in str(data) + + async def test_update_hierarchy_with_single_level( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + ): + """Test Pydantic validation catches update with less than 2 levels.""" + update_data = { + "levels": [ + { + "name": "year", + "dimension_node": "default.year_dim", + }, + ], + } + + response = await client_with_basic.put( + "/hierarchies/calendar_hierarchy", + json=update_data, + ) + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + data = response.json() + assert "List should have at least 2 items" in str(data) + + async def test_update_hierarchy_with_duplicate_names( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + ): + """Test Pydantic validation catches duplicate names in update.""" + update_data = { + "levels": [ + { + "name": "level", + "dimension_node": "default.year_dim", + }, + { + "name": "level", + "dimension_node": "default.month_dim", + }, + ], + } + + response = await client_with_basic.put( + "/hierarchies/calendar_hierarchy", + json=update_data, + ) + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + data = response.json() + assert "Level names must be unique" in str(data) + + async def test_update_hierarchy_without_levels( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + ): + """Test updating hierarchy metadata without changing levels.""" + update_data = { + "display_name": "Updated Display Name", + "description": "Updated Description", + } + + response = await client_with_basic.put( + "/hierarchies/calendar_hierarchy", + json=update_data, + ) + assert response.status_code == HTTPStatus.OK + data = response.json() + + assert data["display_name"] == "Updated Display Name" + assert data["description"] == "Updated Description" + # Levels should remain unchanged + assert len(data["levels"]) == 4 + + async def test_update_hierarchy( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test updating a hierarchy.""" + dimensions, _ = time_dimensions + + update_data = { + "display_name": "Updated Calendar Hierarchy", + "description": "This hierarchy has been updated", + } + + response = await client_with_basic.put( + "/hierarchies/calendar_hierarchy", + json=update_data, + ) + assert response.status_code == HTTPStatus.OK + data = response.json() + + assert data["display_name"] == "Updated Calendar Hierarchy" + assert data["description"] == "This hierarchy has been updated" + + async def test_update_hierarchy_levels( + self, + session: AsyncSession, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test updating hierarchy levels.""" + dimensions, revisions = time_dimensions + + update_data = { + "levels": [ + { + "name": "year", + "dimension_node": "default.year_dim", + }, + { + "name": "quarter", + "dimension_node": "default.quarter_dim", + }, + { + "name": "day", + "dimension_node": "default.day_dim", + }, + ], + } + + # First attempt should fail - no dimension link from day to quarter + response = await client_with_basic.put( + "/hierarchies/calendar_hierarchy", + json=update_data, + ) + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + data = response.json() + assert "No dimension link exists" in data["message"] + + # Now add the missing dimension link from day to quarter + from datajunction_server.database.dimensionlink import DimensionLink + from datajunction_server.models.dimensionlink import JoinType + + day_quarter_link = DimensionLink( + node_revision=revisions["day"], + dimension=dimensions["quarter"], + join_sql="default.day_dim.year_id = default.quarter_dim.year_id AND default.day_dim.quarter_id = default.quarter_dim.quarter_id", + join_type=JoinType.INNER, + ) + session.add(day_quarter_link) + await session.commit() + + # Now the update should succeed with valid dimension links + response = await client_with_basic.put( + "/hierarchies/calendar_hierarchy", + json=update_data, + ) + assert response.status_code == HTTPStatus.OK + data = response.json() + + assert len(data["levels"]) == 3 + level_names = [level["name"] for level in data["levels"]] + assert level_names == ["year", "quarter", "day"] + + async def test_update_nonexistent_hierarchy( + self, + client_with_basic: AsyncClient, + ): + """Test updating a hierarchy that doesn't exist.""" + update_data = { + "display_name": "Updated Nonexistent", + } + + response = await client_with_basic.put( + "/hierarchies/nonexistent", + json=update_data, + ) + assert response.status_code == HTTPStatus.NOT_FOUND + + async def test_delete_hierarchy( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + ): + """Test deleting a hierarchy.""" + response = await client_with_basic.delete("/hierarchies/calendar_hierarchy") + assert response.status_code == HTTPStatus.NO_CONTENT + + # Verify it's actually deleted + get_response = await client_with_basic.get("/hierarchies/calendar_hierarchy") + assert get_response.status_code == HTTPStatus.NOT_FOUND + + async def test_delete_nonexistent_hierarchy( + self, + client_with_basic: AsyncClient, + ): + """Test deleting a hierarchy that doesn't exist.""" + response = await client_with_basic.delete("/hierarchies/nonexistent") + assert response.status_code == HTTPStatus.NOT_FOUND + + async def test_api_hierarchy_permissions( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + ): + """Test that hierarchy operations require proper authentication.""" + # Verify authenticated requests work + response = await client_with_basic.get("/hierarchies/") + assert response.status_code == HTTPStatus.OK + assert response.json() == [ + { + "created_at": mock.ANY, + "created_by": {"username": "dj"}, + "description": "Year -> Month -> Week -> Day hierarchy", + "display_name": "Calendar Hierarchy", + "level_count": 4, + "name": "calendar_hierarchy", + }, + ] + + response = await client_with_basic.get("/hierarchies/calendar_hierarchy") + assert response.status_code == HTTPStatus.OK + assert response.json() == { + "created_at": mock.ANY, + "created_by": {"username": "dj"}, + "description": "Year -> Month -> Week -> Day hierarchy", + "display_name": "Calendar Hierarchy", + "levels": [ + { + "dimension_node": { + "name": "default.year_dim", + }, + "grain_columns": None, + "level_order": 0, + "name": "year", + }, + { + "dimension_node": { + "name": "default.month_dim", + }, + "grain_columns": None, + "level_order": 1, + "name": "month", + }, + { + "dimension_node": { + "name": "default.week_dim", + }, + "grain_columns": None, + "level_order": 2, + "name": "week", + }, + { + "dimension_node": { + "name": "default.day_dim", + }, + "grain_columns": None, + "level_order": 3, + "name": "day", + }, + ], + "name": "calendar_hierarchy", + } + + async def test_hierarchy_history_tracking( + self, + client_with_basic: AsyncClient, + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + time_dimension_links, + month_year_link, + ): + """Test that hierarchy operations are tracked in history.""" + dimensions, _ = time_dimensions + + # Create a hierarchy + hierarchy_data = { + "name": "history_test", + "display_name": "History Test", + "levels": [ + { + "name": "year", + "dimension_node": "default.year_dim", + }, + { + "name": "month", + "dimension_node": "default.month_dim", + }, + ], + } + + create_response = await client_with_basic.post( + "/hierarchies/", + json=hierarchy_data, + ) + assert create_response.status_code == HTTPStatus.CREATED + + # Update the hierarchy + update_data = { + "description": "Updated description for history test", + } + + update_response = await client_with_basic.put( + "/hierarchies/history_test", + json=update_data, + ) + assert update_response.status_code == HTTPStatus.OK + + # Delete the hierarchy + delete_response = await client_with_basic.delete("/hierarchies/history_test") + assert delete_response.status_code == HTTPStatus.NO_CONTENT + + # Query the History table to verify all operations were tracked + history_entries = await session.execute( + select(History) + .where( + History.entity_type == EntityType.HIERARCHY, + History.entity_name == "history_test", + ) + .order_by(History.created_at), + ) + history = history_entries.scalars().all() + + # Should have 3 history entries: CREATE, UPDATE, DELETE + assert len(history) == 3 + + # Verify CREATE entry + create_entry = history[0] + assert create_entry.activity_type == ActivityType.CREATE + assert create_entry.entity_name == "history_test" + assert create_entry.entity_type == EntityType.HIERARCHY + assert create_entry.user == "dj" + assert create_entry.post["name"] == "history_test" + assert create_entry.post["display_name"] == "History Test" + assert len(create_entry.post["levels"]) == 2 + assert create_entry.pre == {} + + # Verify UPDATE entry + update_entry = history[1] + assert update_entry.activity_type == ActivityType.UPDATE + assert update_entry.entity_name == "history_test" + assert update_entry.pre["description"] is None + assert ( + update_entry.post["description"] == "Updated description for history test" + ) + + # Verify DELETE entry + delete_entry = history[2] + assert delete_entry.activity_type == ActivityType.DELETE + assert delete_entry.entity_name == "history_test" + assert delete_entry.pre["name"] == "history_test" + assert len(delete_entry.pre["levels"]) == 2 + assert delete_entry.post == {} + + async def test_get_dimension_hierarchies( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + fiscal_hierarchy: Hierarchy, + ): + """Test getting hierarchies that use a specific dimension.""" + # Get hierarchies using month_dim (used in both calendar and fiscal) + response = await client_with_basic.get("/nodes/default.month_dim/hierarchies/") + assert response.status_code == HTTPStatus.OK + data = response.json() + + assert data["dimension_node"] == "default.month_dim" + assert len(data["hierarchies"]) == 2 + + # Find the calendar hierarchy navigation info + calendar_nav = next( + h + for h in data["hierarchies"] + if h["hierarchy_name"] == "calendar_hierarchy" + ) + assert calendar_nav["current_level"] == "month" + assert calendar_nav["current_level_order"] == 1 + + # Check drill-up options (to year) + assert len(calendar_nav["drill_up"]) == 1 + assert calendar_nav["drill_up"][0]["level_name"] == "year" + assert calendar_nav["drill_up"][0]["dimension_node"] == "default.year_dim" + assert calendar_nav["drill_up"][0]["steps"] == 1 + + # Check drill-down options (to week, then day) + assert len(calendar_nav["drill_down"]) == 2 + week_drill = next( + d for d in calendar_nav["drill_down"] if d["level_name"] == "week" + ) + assert week_drill["dimension_node"] == "default.week_dim" + assert week_drill["steps"] == 1 + + day_drill = next( + d for d in calendar_nav["drill_down"] if d["level_name"] == "day" + ) + assert day_drill["dimension_node"] == "default.day_dim" + assert day_drill["steps"] == 2 + + # Find the fiscal hierarchy navigation info + fiscal_nav = next( + h for h in data["hierarchies"] if h["hierarchy_name"] == "fiscal_hierarchy" + ) + assert fiscal_nav["current_level"] == "month" + assert fiscal_nav["current_level_order"] == 2 + + # Check fiscal drill-up options (to quarter, then year) + assert len(fiscal_nav["drill_up"]) == 2 + quarter_drill = next( + d for d in fiscal_nav["drill_up"] if d["level_name"] == "quarter" + ) + assert quarter_drill["dimension_node"] == "default.quarter_dim" + assert quarter_drill["steps"] == 1 + + year_drill = next( + d for d in fiscal_nav["drill_up"] if d["level_name"] == "year" + ) + assert year_drill["steps"] == 2 + + async def test_get_dimension_hierarchies_not_used( + self, + client_with_basic: AsyncClient, + calendar_hierarchy: Hierarchy, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test getting hierarchies for a dimension that's not used in any hierarchy.""" + # Quarter is used in fiscal but we only have calendar loaded in this test + # Actually quarter IS in fiscal_hierarchy, but let's test with a dimension not in calendar + response = await client_with_basic.get( + "/nodes/default.quarter_dim/hierarchies/", + ) + assert response.status_code == HTTPStatus.OK + data = response.json() + + assert data["dimension_node"] == "default.quarter_dim" + # Quarter is not in calendar_hierarchy (only year, month, week, day) + # So it should return empty or only fiscal if that's loaded + # Since we only have calendar_hierarchy fixture, it should be empty + assert len(data["hierarchies"]) == 0 + + async def test_get_dimension_hierarchies_nonexistent_node( + self, + client_with_basic: AsyncClient, + ): + """Test getting hierarchies for a non-existent node.""" + response = await client_with_basic.get( + "/nodes/nonexistent.dimension/hierarchies/", + ) + assert response.status_code == HTTPStatus.NOT_FOUND + data = response.json() + assert "does not exist" in data["message"] + + async def test_get_dimension_hierarchies_non_dimension_node( + self, + client_with_basic: AsyncClient, + time_sources: dict[str, Node], + ): + """Test getting hierarchies for a non-dimension node.""" + # Try with a source node + response = await client_with_basic.get( + "/nodes/default.year_source/hierarchies/", + ) + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + data = response.json() + assert "Node 'default.year_source' is not a dimension node" in data["message"] diff --git a/datajunction-server/tests/api/history_test.py b/datajunction-server/tests/api/history_test.py new file mode 100644 index 000000000..ce31e1613 --- /dev/null +++ b/datajunction-server/tests/api/history_test.py @@ -0,0 +1,282 @@ +""" +Tests for the history endpoint +""" + +from unittest import mock + +import pytest +from httpx import AsyncClient + +from datajunction_server.database.history import History +from datajunction_server.internal.history import ActivityType, EntityType + + +def test_history_hash(): + """ + Test hash comparison of history events + """ + foo1 = History( + id=1, + entity_name="bar", + entity_type=EntityType.NODE, + activity_type=ActivityType.CREATE, + ) + foo2 = History( + id=1, + entity_name="bar", + entity_type=EntityType.NODE, + activity_type=ActivityType.CREATE, + ) + assert hash(foo1) == hash(foo2) + + +@pytest.mark.asyncio +async def test_get_history_entity(module__client_with_roads: AsyncClient): + """ + Test getting history for an entity + """ + response = await module__client_with_roads.get( + "/history/node/default.repair_orders/", + ) + assert response.status_code in (200, 201) + history = response.json() + assert len(history) == 1 + entity = history[0] + entity.pop("created_at") + assert history == [ + { + "id": mock.ANY, + "pre": {}, + "post": {}, + "node": "default.repair_orders", + "entity_type": "node", + "entity_name": "default.repair_orders", + "activity_type": "create", + "user": "dj", + "details": {}, + }, + ] + + +@pytest.mark.asyncio +async def test_get_history_node(module__client_with_roads: AsyncClient): + """ + Test getting history for a node + """ + + response = await module__client_with_roads.get("/history?node=default.repair_order") + assert response.status_code in (200, 201) + history = response.json() + assert len(history) == 5 + assert history == [ + { + "activity_type": "create", + "node": "default.repair_order", + "created_at": mock.ANY, + "details": { + "dimension": "default.municipality_dim", + "join_cardinality": "many_to_one", + "join_sql": "default.repair_order.municipality_id = " + "default.municipality_dim.municipality_id", + "role": None, + "version": "v1.4", + }, + "entity_name": "default.repair_order", + "entity_type": "link", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + { + "activity_type": "create", + "node": "default.repair_order", + "created_at": mock.ANY, + "details": { + "dimension": "default.hard_hat_to_delete", + "join_cardinality": "many_to_one", + "join_sql": "default.repair_order.hard_hat_id = " + "default.hard_hat_to_delete.hard_hat_id", + "role": None, + "version": "v1.3", + }, + "entity_name": "default.repair_order", + "entity_type": "link", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + { + "activity_type": "create", + "node": "default.repair_order", + "created_at": mock.ANY, + "details": { + "dimension": "default.hard_hat", + "join_cardinality": "many_to_one", + "join_sql": "default.repair_order.hard_hat_id = " + "default.hard_hat.hard_hat_id", + "role": None, + "version": "v1.2", + }, + "entity_name": "default.repair_order", + "entity_type": "link", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + { + "activity_type": "create", + "node": "default.repair_order", + "created_at": mock.ANY, + "details": { + "dimension": "default.dispatcher", + "join_cardinality": "many_to_one", + "join_sql": "default.repair_order.dispatcher_id = " + "default.dispatcher.dispatcher_id", + "role": None, + "version": "v1.1", + }, + "entity_name": "default.repair_order", + "entity_type": "link", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + { + "activity_type": "create", + "node": "default.repair_order", + "created_at": mock.ANY, + "details": {}, + "entity_name": "default.repair_order", + "entity_type": "node", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + ] + + +@pytest.mark.asyncio +async def test_get_history_namespace(client_with_service_setup: AsyncClient): + """ + Test getting history for a node context + """ + + response = await client_with_service_setup.get("/history/namespace/default") + assert response.status_code in (200, 201) + history = response.json() + assert len(history) == 1 + assert history == [ + { + "activity_type": "create", + "node": None, + "created_at": mock.ANY, + "details": {}, + "entity_name": "default", + "entity_type": "namespace", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + ] + + +@pytest.mark.asyncio +async def test_get_history_only_subscribed(module__client_with_roads: AsyncClient): + """ + Test getting history only for events the user has a notification preference for + """ + response = await module__client_with_roads.post( + "/notifications/subscribe", + json={ + "entity_type": EntityType.LINK, + "entity_name": "default.repair_order", + "activity_types": [ActivityType.CREATE], + "alert_types": ["slack", "email"], + }, + ) + assert response.status_code == 201 + + response = await module__client_with_roads.get("/history?only_subscribed=true") + assert response.status_code == 200 + history = response.json() + assert len(history) == 4 + assert history == [ + { + "id": mock.ANY, + "entity_type": "link", + "entity_name": "default.repair_order", + "node": "default.repair_order", + "activity_type": "create", + "user": "dj", + "pre": {}, + "post": {}, + "details": { + "dimension": "default.municipality_dim", + "join_sql": "default.repair_order.municipality_id = default.municipality_dim.municipality_id", + "join_cardinality": "many_to_one", + "role": None, + "version": "v1.4", + }, + "created_at": mock.ANY, + }, + { + "id": mock.ANY, + "entity_type": "link", + "entity_name": "default.repair_order", + "node": "default.repair_order", + "activity_type": "create", + "user": "dj", + "pre": {}, + "post": {}, + "details": { + "dimension": "default.hard_hat_to_delete", + "join_sql": "default.repair_order.hard_hat_id = default.hard_hat_to_delete.hard_hat_id", + "join_cardinality": "many_to_one", + "role": None, + "version": "v1.3", + }, + "created_at": mock.ANY, + }, + { + "id": mock.ANY, + "entity_type": "link", + "entity_name": "default.repair_order", + "node": "default.repair_order", + "activity_type": "create", + "user": "dj", + "pre": {}, + "post": {}, + "details": { + "dimension": "default.hard_hat", + "join_sql": "default.repair_order.hard_hat_id = default.hard_hat.hard_hat_id", + "join_cardinality": "many_to_one", + "role": None, + "version": "v1.2", + }, + "created_at": mock.ANY, + }, + { + "id": mock.ANY, + "entity_type": "link", + "entity_name": "default.repair_order", + "node": "default.repair_order", + "activity_type": "create", + "user": "dj", + "pre": {}, + "post": {}, + "details": { + "dimension": "default.dispatcher", + "join_sql": "default.repair_order.dispatcher_id = default.dispatcher.dispatcher_id", + "join_cardinality": "many_to_one", + "role": None, + "version": "v1.1", + }, + "created_at": mock.ANY, + }, + ] diff --git a/datajunction-server/tests/api/materializations_test.py b/datajunction-server/tests/api/materializations_test.py new file mode 100644 index 000000000..958aa1366 --- /dev/null +++ b/datajunction-server/tests/api/materializations_test.py @@ -0,0 +1,2021 @@ +"""Tests for /materialization api""" + +import json +import os +from pathlib import Path +from typing import Callable +from unittest import mock + +import pytest +import pytest_asyncio +from httpx import AsyncClient + +from datajunction_server.models.cube_materialization import ( + Aggregability, + AggregationRule, + MetricComponent, + NodeNameVersion, +) +from datajunction_server.models.partition import Granularity, PartitionBackfill +from datajunction_server.models.query import ColumnMetadata +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.parsing.backends.antlr4 import parse + +TEST_DIR = os.path.dirname(os.path.abspath(__file__)) + + +@pytest.fixture +def load_expected_file(): + """ + Loads expected fixture file + """ + + def _load(filename: str): + expected_path = TEST_DIR / Path("files/materializations_test") + with open(expected_path / filename, encoding="utf-8") as fe: + if filename.endswith(".json"): + return json.loads(fe.read().strip()) + return fe.read().strip() + + return _load + + +@pytest_asyncio.fixture +async def client_with_repairs_cube( + module__client_with_roads: AsyncClient, +): + """ + Adds a repairs cube to the test client + """ + + async def _client_with_repairs_cube(cube_name: str = "default.repairs_cube"): + response = await module__client_with_roads.post( + "/nodes/default.repair_orders_fact/columns/order_date/attributes/", + json=[{"name": "dimension"}], + ) + assert response.status_code in (200, 201) + response = await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": [ + "default.num_repair_orders", + "default.total_repair_cost", + ], + "dimensions": [ + "default.repair_orders_fact.order_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": f"{cube_name}", + }, + ) + assert response.status_code == 201 + assert response.json()["version"] == "v1.0" + return module__client_with_roads + + return _client_with_repairs_cube + + +@pytest.fixture +def set_temporal_column(): + """ + Sets the given column as a temporal partition on the specified node. + """ + + async def _set_temporal_column(client: AsyncClient, node_name: str, column: str): + response = await client.post( + f"/nodes/{node_name}/columns/{column}/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + assert response.status_code in (200, 201) + + return _set_temporal_column + + +@pytest.fixture +def set_categorical_partition(): + """ + Sets the given column as a categorical partition on the specified node. + """ + + async def _set_categorical_partition( + client: AsyncClient, + node_name: str, + column: str, + ): + response = await client.post( + f"/nodes/{node_name}/columns/{column}/partition", + json={ + "type_": "categorical", + }, + ) + assert response.status_code in (200, 201) + + return _set_categorical_partition + + +@pytest.mark.asyncio +async def test_materialization_info(module__client: AsyncClient) -> None: + """ + Test ``GET /materialization/info``. + """ + response = await module__client.get("/materialization/info") + data = response.json() + + assert response.status_code == 200 + assert data == { + "job_types": [ + { + "allowed_node_types": ["transform", "dimension", "cube"], + "description": "Spark SQL materialization job", + "job_class": "SparkSqlMaterializationJob", + "label": "Spark SQL", + "name": "spark_sql", + }, + { + "allowed_node_types": ["cube"], + "description": "Used to materialize a cube's measures to Druid for " + "low-latency access to a set of metrics and " + "dimensions. While the logical cube definition " + "is at the level of metrics and dimensions, this " + "materialized Druid cube will contain " + "measures and dimensions, with rollup " + "configured on the measures where appropriate.", + "job_class": "DruidMeasuresCubeMaterializationJob", + "label": "Druid Measures Cube (Pre-Agg Cube)", + "name": "druid_measures_cube", + }, + { + "allowed_node_types": ["cube"], + "description": "Used to materialize a cube of metrics and " + "dimensions to Druid for low-latency access. " + "The materialized cube is at the metric level, " + "meaning that all metrics will be aggregated to " + "the level of the cube's dimensions.", + "job_class": "DruidMetricsCubeMaterializationJob", + "label": "Druid Metrics Cube (Post-Agg Cube)", + "name": "druid_metrics_cube", + }, + { + "allowed_node_types": [ + "cube", + ], + "description": "Used to materialize a cube of metrics and dimensions to Druid for " + "low-latency access.Will replace the other cube materialization " + "types.", + "job_class": "DruidCubeMaterializationJob", + "label": "Druid Cube", + "name": "druid_cube", + }, + ], + "strategies": [ + {"label": "Full", "name": "full"}, + {"label": "Snapshot", "name": "snapshot"}, + {"label": "Snapshot Partition", "name": "snapshot_partition"}, + {"label": "Incremental Time", "name": "incremental_time"}, + {"label": "View", "name": "view"}, + ], + } + + +@pytest.mark.asyncio +async def test_crud_materialization(module__client_with_basic: AsyncClient): + """ + Verifies the CRUD endpoints for adding/updating/deleting materialization and backfill + """ + client_with_query_service = module__client_with_basic + # Create the engine and check the existing transform node + await client_with_query_service.post( + "/engines/", + json={ + "name": "spark", + "version": "2.4.4", + "dialect": "spark", + }, + ) + response = await client_with_query_service.get( + "/nodes/basic.transform.country_agg/", + ) + old_node_data = response.json() + assert old_node_data["version"] == "v1.0" + assert old_node_data["materializations"] == [] + + # Setting the materialization config should succeed + response = await client_with_query_service.post( + "/nodes/basic.transform.country_agg/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + data = response.json() + assert ( + data["message"] == "Successfully updated materialization config named " + "`spark_sql__full` for node `basic.transform.country_agg`" + ) + + # Check history of the node with materialization + response = await client_with_query_service.get( + "/history?node=basic.transform.country_agg", + ) + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [("create", "materialization"), ("create", "node")] + + # Setting it again should inform that it already exists + response = await client_with_query_service.post( + "/nodes/basic.transform.country_agg/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.json() == { + "info": { + "output_tables": ["common.a", "common.b"], + "urls": ["http://fake.url/job"], + }, + "message": "The same materialization config with name " + "`spark_sql__full` already exists for node " + "`basic.transform.country_agg` so no update was performed.", + } + + # Deactivating it should work + response = await client_with_query_service.delete( + "/nodes/basic.transform.country_agg/materializations/" + "?materialization_name=spark_sql__full", + ) + assert response.json() == { + "message": "Materialization named `spark_sql__full` on node " + "`basic.transform.country_agg` version `v1.0` has been successfully deactivated", + } + + # Setting it again should inform that it already exists but was reactivated + response = await client_with_query_service.post( + "/nodes/basic.transform.country_agg/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.json()["message"] == ( + "The same materialization config with name `spark_sql__full` already " + "exists for node `basic.transform.country_agg` but was deactivated. It has " + "now been restored." + ) + response = await client_with_query_service.get( + "/history?node=basic.transform.country_agg", + ) + assert [ + ( + activity["activity_type"], + activity["entity_type"], + activity["entity_name"], + ) + for activity in response.json() + ] == [ + ("restore", "materialization", "spark_sql__full"), + ("delete", "materialization", "spark_sql__full"), + ("create", "materialization", "spark_sql__full"), + ("create", "node", "basic.transform.country_agg"), + ] + + +@pytest.mark.asyncio +async def test_druid_measures_cube_full( + client_with_repairs_cube: AsyncClient, + module__query_service_client: QueryServiceClient, + load_expected_file, + set_temporal_column, +): + """ + Verifying this materialization setup: + - Job Type: druid_measures_cube + - Strategy: full + Cases to check: + - [success] When there is a column on the cube with the partition label + - [failure] When there are no columns on the cube with type `timestamp` and no partition labels + - [failure] If nothing has changed, will not update the existing materialization + """ + client_with_repairs_cube = await client_with_repairs_cube() # type: ignore + # [success] When there is a column on the cube with a temporal partition label: + await set_temporal_column( + client_with_repairs_cube, + "default.repairs_cube", + "default.repair_orders_fact.order_date", + ) + response = await client_with_repairs_cube.post( + "/nodes/default.repairs_cube/materialization/", + json={ + "job": "druid_measures_cube", + "strategy": "full", + "config": { + "spark": {}, + }, + "schedule": "", + }, + ) + assert ( + response.json()["message"] + == "Successfully updated materialization config named " + "`druid_measures_cube__full__default.repair_orders_fact.order_date` " + "for node `default.repairs_cube`" + ) + # args, _ = module__query_service_client.materialize.call_args_list[0] # type: ignore + checked = False + for args, _ in module__query_service_client.materialize.call_args_list: # type: ignore + if args[0].node_name == "default.repairs_cube": + assert str(parse(args[0].query)) == str( + parse(load_expected_file("druid_measures_cube.full.query.sql")), + ) + assert args[0].druid_spec == load_expected_file( + "druid_measures_cube.full.druid_spec.json", + ) + checked = True + break + assert checked + + # Reset by deleting the materialization + response = await client_with_repairs_cube.delete( + "/nodes/default.repairs_cube/materializations/", + params={ + "materialization_name": "druid_measures_cube__full", + }, + ) + assert response.status_code == 404 + + # [failure] When there are no columns on the cube with type `timestamp` and no partition labels + response = await client_with_repairs_cube.post( + "/nodes/cube/", + json={ + "metrics": [ + "default.num_repair_orders", + "default.total_repair_cost", + ], + "dimensions": [ + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.bad_repairs_cube", + }, + ) + assert response.status_code in (200, 201) + response = await client_with_repairs_cube.post( + "/nodes/default.bad_repairs_cube/materialization/", + json={ + "job": "druid_measures_cube", + "strategy": "full", + "config": { + "spark": {}, + }, + "schedule": "", + }, + ) + assert response.json()["message"] == ( + "The cube materialization cannot be configured if there is no " + "temporal partition specified on the cube. Please make sure at " + "least one cube element has a temporal partition defined" + ) + + # [failure] If nothing has changed, will not update the existing materialization + response = await client_with_repairs_cube.post( + "/nodes/default.repairs_cube/materialization/", + json={ + "job": "druid_measures_cube", + "strategy": "full", + "config": { + "druid": {"a": "b"}, + "spark": {}, + }, + "schedule": "", + }, + ) + assert response.json()["message"] == ( + "The same materialization config with name " + "`druid_measures_cube__full__default.repair_orders_fact.order_date` already " + "exists for node `default.repairs_cube` so no update was performed." + ) + + +@pytest.mark.asyncio +async def test_druid_measures_cube_incremental( + client_with_repairs_cube: AsyncClient, + module__query_service_client: QueryServiceClient, + load_expected_file, + set_temporal_column, + set_categorical_partition, +): + """ + Verifying this materialization setup: + - Job Type: druid_measures_cube + - Strategy: incremental_time + Cases to check: + - [failure] If there is no time partition column configured, fail. This is because without the + time partition we don't know the granularity for incremental materialization. + - [success] When there is a column on the cube with the partition label + - [success] When the underlying measures node contains DJ_LOGICAL_TIMESTAMP + """ + cube_name = "default.repairs_cube__incremental" + client_with_repairs_cube = await client_with_repairs_cube(cube_name=cube_name) # type: ignore + # [failure] If there is no time partition column configured + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_measures_cube", + "strategy": "incremental_time", + "config": {}, + "schedule": "@daily", + }, + ) + assert response.json()["message"] == ( + "Cannot create materialization with strategy `incremental_time` " + "without specifying a time partition column!" + ) + + # [success] When there is a column on the cube with the partition label, should succeed. + await set_temporal_column( + client_with_repairs_cube, + cube_name, + "default.repair_orders_fact.order_date", + ) + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_measures_cube", + "strategy": "incremental_time", + "config": {}, + "schedule": "@daily", + }, + ) + assert response.status_code in (200, 201) + assert response.json()["message"] == ( + "Successfully updated materialization config named " + "`druid_measures_cube__incremental_time__default.repair_orders_fact.order_date` " + f"for node `{cube_name}`" + ) + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + assert str( + parse( + args[0].query.replace("${dj_logical_timestamp}", "DJ_LOGICAL_TIMESTAMP()"), + ), + ) == str( + parse( + load_expected_file("druid_measures_cube.incremental.query.sql").replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ), + ), + ) + assert args[0].druid_spec == load_expected_file( + "druid_measures_cube.incremental.druid_spec.json", + ) + + # [success] When the node itself contains DJ_LOGICAL_TIMESTAMP + response = await client_with_repairs_cube.patch( + "/nodes/default.repair_orders_fact", + json={ + "query": """SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay +FROM + default.repair_orders repair_orders +JOIN + default.repair_order_details repair_order_details +ON repair_orders.repair_order_id = repair_order_details.repair_order_id +WHERE repair_orders.order_date = DJ_LOGICAL_TIMESTAMP()""", + }, + ) + assert response.status_code in (200, 201) + response = await client_with_repairs_cube.get("/nodes/default.repair_orders_fact") + + # Delete previous + response = await client_with_repairs_cube.delete( + f"/nodes/{cube_name}/materializations/", + params={ + "materialization_name": "druid_measures_cube__incremental_time__default." + "repair_orders_fact.order_date", + }, + ) + assert response.status_code in (200, 201) + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_measures_cube", + "strategy": "incremental_time", + "config": {}, + "schedule": "@daily", + }, + ) + assert response.status_code in (200, 201) + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + assert str( + parse( + args[0].query.replace("${dj_logical_timestamp}", "DJ_LOGICAL_TIMESTAMP()"), + ), + ) == str( + parse( + load_expected_file( + "druid_measures_cube.incremental.patched.query.sql", + ).replace("${dj_logical_timestamp}", "DJ_LOGICAL_TIMESTAMP()"), + ), + ) + assert args[0].druid_spec == load_expected_file( + "druid_measures_cube.incremental.druid_spec.json", + ) + + # [success] When there is a column on the cube with the partition label, should succeed. + await set_temporal_column( + client_with_repairs_cube, + cube_name, + "default.repair_orders_fact.order_date", + ) + await set_categorical_partition( + client_with_repairs_cube, + cube_name, + "default.dispatcher.company_name", + ) + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_measures_cube", + "strategy": "incremental_time", + "config": {}, + "schedule": "@daily", + }, + ) + assert response.status_code in (200, 201) + assert response.json()["message"] == ( + "Successfully updated materialization config named " + "`druid_measures_cube__incremental_time__default.repair_" + "orders_fact.order_date__default.dispatcher.company_name` " + f"for node `{cube_name}`" + ) + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + assert str( + parse( + args[0] + .query.replace("${dj_logical_timestamp}", "DJ_LOGICAL_TIMESTAMP()") + .replace("${default_DOT_dispatcher_DOT_company_name}", "DJ_COMPANY_NAME()"), + ), + ) == str( + parse( + load_expected_file("druid_measures_cube.incremental.categorical.query.sql") + .replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ) + .replace("${default_DOT_dispatcher_DOT_company_name}", "DJ_COMPANY_NAME()"), + ), + ) + assert args[0].druid_spec == load_expected_file( + "druid_measures_cube.incremental.druid_spec.json", + ) + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="The test is unstable depending on run order") +async def test_druid_metrics_cube_incremental( + client_with_repairs_cube: AsyncClient, + module__query_service_client: QueryServiceClient, + load_expected_file, + set_temporal_column, + set_categorical_partition, +): + """ + Verifying this materialization setup: + - Job Type: druid_metrics_cube + - Strategy: incremental_time + Cases to check: + - [failure] If there is no time partition column configured, fail. This is because without the + time partition we don't know the granularity for incremental materialization. + - [success] When there is a column on the cube with the partition label + - [success] When the underlying measures node contains DJ_LOGICAL_TIMESTAMP + """ + cube_name = "default.repairs_cube__metrics_incremental" + client_with_repairs_cube = await client_with_repairs_cube(cube_name=cube_name) # type: ignore + + # [failure] If there is no time partition column configured + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_metrics_cube", + "strategy": "incremental_time", + "config": {}, + "schedule": "@daily", + }, + ) + assert response.json()["message"] == ( + "Cannot create materialization with strategy `incremental_time` " + "without specifying a time partition column!" + ) + + # [success] When there is a temporal partition column on the cube, should succeed. + await set_temporal_column( + client_with_repairs_cube, + cube_name, + "default.repair_orders_fact.order_date", + ) + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_metrics_cube", + "strategy": "incremental_time", + "config": {}, + "schedule": "@daily", + }, + ) + assert response.status_code in (200, 201) + assert response.json()["message"] == ( + "Successfully updated materialization config named " + "`druid_metrics_cube__incremental_time__default.repair_orders_fact.order_date` " + f"for node `{cube_name}`" + ) + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + assert str( + parse( + args[0].query.replace("${dj_logical_timestamp}", "DJ_LOGICAL_TIMESTAMP()"), + ), + ) == str( + parse( + load_expected_file("druid_metrics_cube.incremental.query.sql").replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ), + ), + ) + assert args[0].druid_spec == load_expected_file( + "druid_metrics_cube.incremental.druid_spec.json", + ) + + # [success] When there is both a temporal and categorical partition column on the cube + await set_temporal_column( + client_with_repairs_cube, + cube_name, + "default.repair_orders_fact.order_date", + ) + await set_categorical_partition( + client_with_repairs_cube, + cube_name, + "default.hard_hat.state", + ) + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_metrics_cube", + "strategy": "incremental_time", + "config": {}, + "schedule": "@daily", + }, + ) + assert response.status_code in (200, 201) + assert response.json()["message"] == ( + "Successfully updated materialization config named " + "`druid_metrics_cube__incremental_time__default.repair_" + "orders_fact.order_date__default.hard_hat.state` " + f"for node `{cube_name}`" + ) + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + assert str( + parse( + args[0] + .query.replace("${dj_logical_timestamp}", "DJ_LOGICAL_TIMESTAMP()") + .replace("${default_DOT_hard_hat_DOT_state}", "DJ_STATE()"), + ), + ) == str( + parse( + load_expected_file("druid_metrics_cube.incremental.categorical.query.sql") + .replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ) + .replace("${default_DOT_hard_hat_DOT_state}", "DJ_STATE()"), + ), + ) + assert args[0].druid_spec == load_expected_file( + "druid_metrics_cube.incremental.druid_spec.json", + ) + + +@pytest.mark.asyncio +async def test_druid_cube_incremental( + client_with_repairs_cube: AsyncClient, + module__query_service_client: QueryServiceClient, + set_temporal_column, +): + """ + Verifying this materialization setup: + - Job Type: druid_cube + - Strategy: incremental_time + """ + cube_name = "default.repairs_cube__default_incremental" + client_with_repairs_cube = await client_with_repairs_cube(cube_name=cube_name) # type: ignore + # [failure] If there is no time partition column configured + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_cube", + "strategy": "incremental_time", + "schedule": "@daily", + "lookback_window": "1 DAY", + }, + ) + assert response.json()["message"] == ( + "Cannot create materialization with strategy `incremental_time` " + "without specifying a time partition column!" + ) + + # [success] When there is a column on the cube with the partition label, should succeed. + await set_temporal_column( + client_with_repairs_cube, + cube_name, + "default.repair_orders_fact.order_date", + ) + response = await client_with_repairs_cube.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_cube", + "strategy": "incremental_time", + "schedule": "@daily", + "lookback_window": "1 DAY", + }, + ) + assert response.status_code in (200, 201) + assert response.json()["message"] == ( + "Successfully updated materialization config named `druid_cube__incremental_time__default" + ".repair_orders_fact.order_date` for node `default.repairs_cube__default_incremental`" + ) + _, kwargs = module__query_service_client.materialize_cube.call_args_list[0] # type: ignore + mat = kwargs["materialization_input"] + assert ( + mat.name + == "druid_cube__incremental_time__default.repair_orders_fact.order_date" + ) + assert mat.job == "DruidCubeMaterializationJob" + assert mat.cube == NodeNameVersion( + name="default.repairs_cube__default_incremental", + version="v1.0", + display_name="Repairs Cube Default Incremental", + ) + assert mat.dimensions == [ + "default.repair_orders_fact.order_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ] + assert len(mat.metrics) == 2 + + metric1 = mat.metrics[0] + assert metric1.metric.name == "default.num_repair_orders" + assert metric1.metric.display_name == "Num Repair Orders" + assert len(metric1.required_measures) == 1 + assert metric1.required_measures[0].node.name == "default.repair_orders_fact" + assert metric1.required_measures[0].node.display_name == "Repair Orders Fact" + assert metric1.required_measures[0].measure_name == "repair_order_id_count_bd241964" + assert "SUM(repair_order_id_count_bd241964)" in metric1.derived_expression + assert metric1.metric_expression == "SUM(repair_order_id_count_bd241964)" + + metric2 = mat.metrics[1] + assert metric2.metric.name == "default.total_repair_cost" + assert metric2.metric.display_name == "Total Repair Cost" + assert len(metric2.required_measures) == 1 + assert metric2.required_measures[0].node.name == "default.repair_orders_fact" + assert metric2.required_measures[0].node.display_name == "Repair Orders Fact" + assert metric2.required_measures[0].measure_name == "total_repair_cost_sum_67874507" + assert "SUM(total_repair_cost_sum_67874507)" in metric2.derived_expression + assert metric2.metric_expression == "SUM(total_repair_cost_sum_67874507)" + actual_node = mat.measures_materializations[0].node + assert actual_node.name == "default.repair_orders_fact" + assert actual_node.display_name == "Repair Orders Fact" + assert mat.measures_materializations[0].grain == [ + "default_DOT_repair_orders_fact_DOT_order_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ] + assert mat.measures_materializations[0].dimensions == [ + "default_DOT_repair_orders_fact_DOT_order_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ] + assert mat.measures_materializations[0].measures == [ + MetricComponent( + name="repair_order_id_count_bd241964", + expression="repair_order_id", + aggregation="COUNT", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + MetricComponent( + name="total_repair_cost_sum_67874507", + expression="total_repair_cost", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + ] + assert mat.measures_materializations[0].columns == [ + ColumnMetadata( + name="default_DOT_repair_orders_fact_DOT_order_date", + type="timestamp", + column="order_date", + node="default.repair_orders_fact", + semantic_entity="default.repair_orders_fact.order_date", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_hard_hat_DOT_state", + type="string", + column="state", + node="default.hard_hat", + semantic_entity="default.hard_hat.state", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_dispatcher_DOT_company_name", + type="string", + column="company_name", + node="default.dispatcher", + semantic_entity="default.dispatcher.company_name", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_municipality_dim_DOT_local_region", + type="string", + column="local_region", + node="default.municipality_dim", + semantic_entity="default.municipality_dim.local_region", + semantic_type="dimension", + ), + ColumnMetadata( + name="repair_order_id_count_bd241964", + type="bigint", + column="repair_order_id_count_bd241964", + node="default.repair_orders_fact", + semantic_entity="default.repair_orders_fact.repair_order_id_count_bd241964", + semantic_type="measure", + ), + ColumnMetadata( + name="total_repair_cost_sum_67874507", + type="double", + column="total_repair_cost_sum_67874507", + node="default.repair_orders_fact", + semantic_entity="default.repair_orders_fact.total_repair_cost_sum_67874507", + semantic_type="measure", + ), + ] + assert ( + mat.measures_materializations[0].timestamp_column + == "default_DOT_repair_orders_fact_DOT_order_date" + ) + assert mat.measures_materializations[0].timestamp_format == "yyyyMMdd" + assert mat.measures_materializations[0].granularity == Granularity.DAY + assert mat.measures_materializations[0].spark_conf is None + assert mat.measures_materializations[0].upstream_tables == [ + "default.roads.repair_orders", + "default.roads.repair_order_details", + "default.roads.hard_hats", + "default.roads.dispatchers", + "default.roads.municipality", + "default.roads.municipality_municipality_type", + "default.roads.municipality_type", + ] + assert mat.measures_materializations[0].output_table_name.startswith( + "default_repair_orders_fact", + ) + # Check combiner node with flexible version matching + combiner_node = mat.combiners[0].node + assert combiner_node.name == "default.repair_orders_fact" + assert combiner_node.display_name == "Repair Orders Fact" + assert mat.combiners[0].query is None + assert mat.combiners[0].columns == [ + ColumnMetadata( + name="default_DOT_repair_orders_fact_DOT_order_date", + type="timestamp", + column="order_date", + node="default.repair_orders_fact", + semantic_entity="default.repair_orders_fact.order_date", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_hard_hat_DOT_state", + type="string", + column="state", + node="default.hard_hat", + semantic_entity="default.hard_hat.state", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_dispatcher_DOT_company_name", + type="string", + column="company_name", + node="default.dispatcher", + semantic_entity="default.dispatcher.company_name", + semantic_type="dimension", + ), + ColumnMetadata( + name="default_DOT_municipality_dim_DOT_local_region", + type="string", + column="local_region", + node="default.municipality_dim", + semantic_entity="default.municipality_dim.local_region", + semantic_type="dimension", + ), + ColumnMetadata( + name="repair_order_id_count_bd241964", + type="bigint", + column="repair_order_id_count_bd241964", + node="default.repair_orders_fact", + semantic_entity="default.repair_orders_fact.repair_order_id_count_bd241964", + semantic_type="measure", + ), + ColumnMetadata( + name="total_repair_cost_sum_67874507", + type="double", + column="total_repair_cost_sum_67874507", + node="default.repair_orders_fact", + semantic_entity="default.repair_orders_fact.total_repair_cost_sum_67874507", + semantic_type="measure", + ), + ] + assert mat.combiners[0].grain == [ + "default_DOT_repair_orders_fact_DOT_order_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ] + assert mat.combiners[0].dimensions == [ + "default_DOT_repair_orders_fact_DOT_order_date", + "default_DOT_hard_hat_DOT_state", + "default_DOT_dispatcher_DOT_company_name", + "default_DOT_municipality_dim_DOT_local_region", + ] + assert mat.combiners[0].measures == [ + MetricComponent( + name="repair_order_id_count_bd241964", + expression="repair_order_id", + aggregation="COUNT", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + MetricComponent( + name="total_repair_cost_sum_67874507", + expression="total_repair_cost", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + ] + assert ( + mat.combiners[0].timestamp_column + == "default_DOT_repair_orders_fact_DOT_order_date" + ) + assert mat.combiners[0].timestamp_format == "yyyyMMdd" + assert mat.combiners[0].granularity == Granularity.DAY + assert mat.combiners[0].upstream_tables[0].startswith("default_repair_orders_fact") + + +@pytest.mark.asyncio +async def test_spark_sql_full( + module__client_with_roads: AsyncClient, + module__query_service_client: QueryServiceClient, + load_expected_file, +): + """ + Verifying this materialization setup: + - Job Type: SPARK_SQL + - Strategy: FULL + Cases to check: + - [failure] If the node SQL uses DJ_LOGICAL_TIMESTAMP(), the FULL strategy is not allowed + - [success] A transform/dimension with no partitions should work + - [success] A transform/dimension with partitions but no DJ_LOGICAL_TIMESTAMP() should work + This just means that the output table will be partitioned by the partition cols + """ + # [success] A transform/dimension with no partitions should work + response = await module__client_with_roads.post( + "/nodes/default.hard_hat/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + data = response.json() + assert ( + data["message"] + == "Successfully updated materialization config named `spark_sql__full` for node " + "`default.hard_hat`" + ) + + # Reading the node should yield the materialization config + response = await module__client_with_roads.get("/nodes/default.hard_hat/") + data = response.json() + assert data["version"] == "v1.1" + materialization_query = data["materializations"][0]["config"]["query"] + assert str(parse(materialization_query)) == str( + parse(load_expected_file("spark_sql.full.query.sql")), + ) + del data["materializations"][0]["config"]["query"] + expected_config = load_expected_file("spark_sql.full.config.json") + expected_config[0]["node_revision_id"] = mock.ANY + assert data["materializations"] == expected_config + + # Set both temporal and categorical partitions on node + response = await module__client_with_roads.post( + "/nodes/default.hard_hat/columns/birth_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + assert response.status_code in (200, 201) + + response = await module__client_with_roads.post( + "/nodes/default.hard_hat/columns/country/partition", + json={ + "type_": "categorical", + }, + ) + assert response.status_code in (200, 201) + + # Setting the materialization config should succeed and it should reschedule + # the materialization with the temporal partition + response = await module__client_with_roads.post( + "/nodes/default.hard_hat/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + data = response.json() + assert ( + data["message"] == "Successfully updated materialization config named " + "`spark_sql__full__birth_date__country` for node `default.hard_hat`" + ) + expected_query = load_expected_file("spark_sql.full.query.sql") + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + assert str(parse(args[0].query)) == str(parse(expected_query)) + + # Check that the temporal partition is appended onto the list of partitions in the + # materialization config but is not included directly in the materialization query + response = await module__client_with_roads.get("/nodes/default.hard_hat/") + data = response.json() + assert data["version"] == "v1.1" + assert len(data["materializations"]) == 2 + + expected_query = load_expected_file("spark_sql.full.partition.query.sql") + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + assert str(parse(args[0].query)) == str(parse(expected_query)) + materialization_with_partitions = data["materializations"][1] + del materialization_with_partitions["config"]["query"] + expected_config = load_expected_file("spark_sql.full.partition.config.json") + expected_config["node_revision_id"] = mock.ANY + assert materialization_with_partitions == expected_config + + # Check listing materializations of the node + response = await module__client_with_roads.get( + "/nodes/default.hard_hat/materializations/", + ) + materializations = response.json() + materializations[0]["config"]["query"] = mock.ANY + materializations[0]["node_revision_id"] = mock.ANY + assert materializations[0] == load_expected_file( + "spark_sql.full.materializations.json", + ) + materializations = response.json() + materializations[1]["config"]["query"] = mock.ANY + materializations[1]["node_revision_id"] = mock.ANY + assert materializations[1] == load_expected_file( + "spark_sql.full.partition.materializations.json", + ) + + # Kick off backfill for this materialization + response = await module__client_with_roads.post( + "/nodes/default.hard_hat/materializations/spark_sql__full__birth_date__country/backfill", + json=[ + { + "column_name": "birth_date", + "range": ["20230101", "20230201"], + }, + ], + ) + assert module__query_service_client.run_backfill.call_args_list[0].args == ( # type: ignore + "default.hard_hat", + "v1.1", + "dimension", + "spark_sql__full__birth_date__country", + [ + PartitionBackfill( + column_name="birth_date", + values=None, + range=["20230101", "20230201"], + ), + ], + ) + assert response.json() == {"output_tables": [], "urls": ["http://fake.url/job"]} + + +@pytest.mark.asyncio +async def test_spark_sql_incremental( + module__client_with_roads: AsyncClient, + module__query_service_client: QueryServiceClient, + set_temporal_column, + set_categorical_partition, + load_expected_file, +): + """ + Verifying this materialization setup: + - Job Type: SPARK_SQL + - Strategy: INCREMENTAL + Cases to check: + - [failure] If the node SQL uses DJ_LOGICAL_TIMESTAMP(), the FULL strategy is not allowed + - [success] A transform/dimension with a time partition should work + - [success] A transform/dimension with a time partition and additional usage of + DJ_LOGICAL_TIMESTAMP() should work + - [success] A transform/dimension with a time partition and a categorical partition should work + """ + # [failure] No time partitions + response = await module__client_with_roads.post( + "/nodes/default.hard_hat_2/materialization/", + json={ + "job": "spark_sql", + "strategy": "incremental_time", + "config": {}, + "schedule": "0 * * * *", + }, + ) + data = response.json() + assert ( + data["message"] + == "Cannot create materialization with strategy `incremental_time` without " + "specifying a time partition column!" + ) + + # [success] A transform/dimension with a time partition should work + await set_temporal_column( + module__client_with_roads, + "default.hard_hat_2", + "birth_date", + ) + response = await module__client_with_roads.post( + "/nodes/default.hard_hat_2/materialization/", + json={ + "job": "spark_sql", + "strategy": "incremental_time", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.json()["message"] == ( + "Successfully updated materialization config named " + "`spark_sql__incremental_time__birth_date` for node `default.hard_hat_2`" + ) + + # The materialization query contains a filter on the time partition column + # to the DJ_LOGICAL_TIMESTAMP + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + materialization_query = args[0].query + assert str( + parse( + materialization_query.replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ), + ), + ) == str( + parse( + load_expected_file("spark_sql.incremental.query.sql").replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ), + ), + ) + + # Reading the node should yield the materialization config + response = await module__client_with_roads.get("/nodes/default.hard_hat_2/") + data = response.json() + assert data["version"] == "v1.0" + del data["materializations"][0]["config"]["query"] + data["materializations"][0]["node_revision_id"] = mock.ANY + assert data["materializations"] == load_expected_file( + "spark_sql.incremental.config.json", + ) + + # Kick off backfill for this materialization + response = await module__client_with_roads.post( + "/nodes/default.hard_hat_2/materializations/" + "spark_sql__incremental_time__birth_date/backfill", + json=[ + { + "column_name": "birth_date", + "range": ["20230101", "20230201"], + }, + ], + ) + assert module__query_service_client.run_backfill.call_args_list[-1].args == ( # type: ignore + "default.hard_hat_2", + "v1.0", + "dimension", + "spark_sql__incremental_time__birth_date", + [ + PartitionBackfill( + column_name="birth_date", + values=None, + range=["20230101", "20230201"], + ), + ], + ) + assert response.json() == {"output_tables": [], "urls": ["http://fake.url/job"]} + + # [success] A transform/dimension with a time partition and additional usage of + # DJ_LOGICAL_TIMESTAMP() should work + response = await module__client_with_roads.patch( + "/nodes/default.hard_hat_2", + json={ + "query": "SELECT last_name, first_name, birth_date, country FROM default.hard_hats" + " WHERE DATE_FORMAT(birth_date, 'yyyyMMdd') = " + "DATE_FORMAT(DJ_LOGICAL_TIMESTAMP(), 'yyyyMMdd')", + }, + ) + assert response.status_code in (200, 201) + + # The materialization query contains a filter on the time partition column + # to the DJ_LOGICAL_TIMESTAMP + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + materialization_query = args[0].query + assert str( + parse( + materialization_query.replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ), + ), + ) == str( + parse( + load_expected_file("spark_sql.incremental.additional.query.sql").replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ), + ), + ) + + # [success] A transform/dimension with a time partition and a categorical partition should work + await set_temporal_column( + module__client_with_roads, + "default.hard_hat_2", + "birth_date", + ) + await set_categorical_partition( + module__client_with_roads, + "default.hard_hat_2", + "country", + ) + response = await module__client_with_roads.post( + "/nodes/default.hard_hat_2/materialization/", + json={ + "job": "spark_sql", + "strategy": "incremental_time", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.status_code in (200, 201) + + # The materialization query contains a filter on the time partition column + # and the categorical partition columns + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + materialization_query = args[0].query + + assert str( + parse( + materialization_query.replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ).replace("${country}", "DJ_COUNTRY()"), + ), + ) == str( + parse( + load_expected_file("spark_sql.incremental.categorical.query.sql") + .replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ) + .replace("${country}", "DJ_COUNTRY()"), + ), + ) + + # [success] A transform/dimension with a time partition and a categorical partition, + # along with a lookback window configured + await set_temporal_column( + module__client_with_roads, + "default.hard_hat_2", + "birth_date", + ) + await set_categorical_partition( + module__client_with_roads, + "default.hard_hat_2", + "country", + ) + response = await module__client_with_roads.post( + "/nodes/default.hard_hat_2/materialization/", + json={ + "job": "spark_sql", + "strategy": "incremental_time", + "config": { + "lookback_window": "100 DAYS", + }, + "schedule": "0 * * * *", + }, + ) + assert response.status_code in (200, 201) + + # The materialization query's temporal partition filter includes the lookback window + args, _ = module__query_service_client.materialize.call_args_list[-1] # type: ignore + materialization_query = args[0].query + + assert str( + parse( + materialization_query.replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ).replace("${country}", "DJ_COUNTRY()"), + ), + ) == str( + parse( + load_expected_file("spark_sql.incremental.lookback.query.sql") + .replace( + "${dj_logical_timestamp}", + "DJ_LOGICAL_TIMESTAMP()", + ) + .replace("${country}", "DJ_COUNTRY()"), + ), + ) + + +@pytest.mark.asyncio +async def test_spark_with_availablity( + module__client_with_roads: AsyncClient, +): + """ + Verify that we build the Query correctly with or without the materialization availability. + """ + # add one transform node + response = await module__client_with_roads.post( + "/nodes/transform/", + json={ + "query": ("SELECT first_name, birth_date FROM default.hard_hats"), + "description": "test transform", + "mode": "published", + "name": "default.test_transform", + }, + ) + assert response.status_code in (200, 201) + + # add another transform node on top of the 1st one + response = await module__client_with_roads.post( + "/nodes/transform/", + json={ + "query": ("SELECT first_name, birth_date FROM default.test_transform"), + "description": "test transform two", + "mode": "published", + "name": "default.test_transform_two", + }, + ) + assert response.status_code in (200, 201) + + # create a materialization on the 1st node (w/o availability) + response = await module__client_with_roads.post( + "/nodes/default.test_transform/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.status_code in (200, 201) + + # check the materialization on 1st node + query_one = """ + WITH default_DOT_test_transform AS ( + SELECT + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.birth_date + FROM roads.hard_hats AS default_DOT_hard_hats + ) + SELECT + default_DOT_test_transform.first_name, + default_DOT_test_transform.birth_date + FROM default_DOT_test_transform + """ + response = await module__client_with_roads.get( + "/nodes/default.test_transform/materializations/", + ) + assert response.status_code in (200, 201) + assert str(parse(response.json()[0]["config"]["query"])) == str(parse(query_one)) + + # create a materialization on the 2nd node (w/o availability) + response = await module__client_with_roads.post( + "/nodes/default.test_transform_two/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.status_code in (200, 201) + + # check the materialization on 2nd node + query_two = """WITH default_DOT_test_transform AS ( + SELECT + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.birth_date + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_test_transform_two AS ( + SELECT + default_DOT_test_transform.first_name, + default_DOT_test_transform.birth_date + FROM default_DOT_test_transform + ) + SELECT + default_DOT_test_transform_two.first_name, + default_DOT_test_transform_two.birth_date + FROM default_DOT_test_transform_two + """ + response = await module__client_with_roads.get( + "/nodes/default.test_transform_two/materializations/", + ) + assert response.status_code in (200, 201) + + # add some availability to the 1st node + response = await module__client_with_roads.post( + "/data/default.test_transform/availability/", + json={ + "catalog": "default", + "schema_": "accounting", + "table": "test_transform_materialized", + "valid_through_ts": 20230125, + "max_temporal_partition": ["2023", "01", "25"], + "min_temporal_partition": ["2022", "01", "01"], + "url": "http://some.catalog.com/default.accounting.pmts", + }, + ) + assert response.status_code in (200, 201) + + # refresh the materialization on 1st node now with availability (query should be the same) + response = await module__client_with_roads.post( + "/nodes/default.test_transform/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.status_code in (200, 201) + + # check the materialization query again (query should be the same) + response = await module__client_with_roads.get( + "/nodes/default.test_transform/materializations/", + ) + assert response.status_code in (200, 201) + assert str(parse(response.json()[0]["config"]["query"])) == str(parse(query_one)) + + # refresh the materialization on 2nd node now with availability + # (query should now include availability of the 1st node) + response = await module__client_with_roads.post( + "/nodes/default.test_transform_two/validate/", + ) + assert response.status_code in (200, 201) + + response = await module__client_with_roads.post( + "/nodes/default.test_transform_two/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.status_code in (200, 201) + + # check the materialization query again (query should be the same) + response = await module__client_with_roads.get( + "/nodes/default.test_transform_two/materializations/", + ) + assert response.status_code in (200, 201) + assert response.json()[0]["config"]["query"] != query_two + assert ( + "FROM accounting.test_transform_materialized " + in response.json()[0]["config"]["query"] + ) + + +@pytest.mark.asyncio +async def test_generated_python_client_code_adding_materialization( + module__client_with_basic: AsyncClient, +): + """ + Test that generating python client code for adding materialization works + """ + await module__client_with_basic.post( + "/engines/", + json={ + "name": "spark", + "version": "2.4.4", + "dialect": "spark", + }, + ) + await module__client_with_basic.post( + "/nodes/basic.transform.country_agg/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": { + "spark": {}, + }, + "schedule": "0 * * * *", + }, + ) + response = await module__client_with_basic.get( + "/datajunction-clients/python/add_materialization/" + "basic.transform.country_agg/spark_sql__full", + ) + assert ( + response.json() + == """dj = DJBuilder(DJ_URL) + +country_agg = dj.transform( + "basic.transform.country_agg" +) +materialization = MaterializationConfig( + job="spark_sql", + strategy="full", + schedule="0 * * * *", + config={ + "spark": {} + }, +) +country_agg.add_materialization( + materialization +)""" + ) + + +async def create_cube_with_materialization( + client: AsyncClient, + set_temporal_column: Callable, + cube_name: str, + strategy: str, + schedule: str, +): + # cube_name = "default.repair_revenue_analysis" + response = await client.post( + "/nodes/default.repair_orders_fact/columns/order_date/attributes/", + json=[{"name": "dimension"}], + ) + assert response.status_code in (200, 201) + response = await client.post( + "/nodes/cube/", + json={ + "metrics": [ + "default.num_repair_orders", + "default.total_repair_cost", + ], + "dimensions": [ + "default.repair_orders_fact.order_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": cube_name, + }, + ) + assert response.status_code == 201 + + await set_temporal_column( + client, + cube_name, + "default.repair_orders_fact.order_date", + ) + + # Create a materialization config + response = await client.post( + f"/nodes/{cube_name}/materialization/", + json={ + "job": "druid_measures_cube", + "strategy": strategy, + "schedule": schedule, + }, + ) + assert ( + response.json()["message"] + == "Successfully updated materialization config named " + f"`druid_measures_cube__{strategy}__default.repair_orders_fact.order_date` " + f"for node `{cube_name}`" + ) + + +@pytest.mark.asyncio +async def test_getting_materializations_for_all_revisions( + module__client_with_roads: AsyncClient, + set_temporal_column: Callable, +): + """ + Test getting all materialization configs for all versions using include_all=true + """ + client = module__client_with_roads + cube_name = "default.repair_analytics" + await create_cube_with_materialization( + client, + set_temporal_column, + cube_name=cube_name, + strategy="incremental_time", + schedule="@daily", + ) + + # Update the cube (side-effect is a new materialization is created for the new revision) + await client.patch( + f"/nodes/{cube_name}/", + json={ + "metrics": ["default.num_repair_orders", "default.total_repair_cost"], + "dimensions": [ + "default.repair_orders_fact.order_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + ], + }, + ) + + response = await client.get( + f"/nodes/{cube_name}/materializations", + ) + assert len(response.json()) == 0 + + # Make sure both materializations show up when all materializations are requested + response = await client.get( + f"/nodes/{cube_name}/materializations" + "?include_all_revisions=true&show_inactive=true", + ) + assert len(response.json()) == 1 + + +@pytest.mark.asyncio +async def test_getting_materializations_after_deletion( + module__client_with_roads: AsyncClient, + set_temporal_column, +): + """ + Test that a materialization is no longer returned after deletion (inactivation) and + that it can be retrieved using the show_inactive=true query param + """ + client = module__client_with_roads + cube_name = "default.repair_revenue_analysis" + await create_cube_with_materialization( + client, + set_temporal_column, + cube_name=cube_name, + strategy="full", + schedule="", + ) + + # Delete the materialization + response = await client.delete( + f"/nodes/{cube_name}/materializations/" + "?materialization_name=druid_measures_cube__full__default.repair_orders_fact.order_date&node_version=v1.0", + ) + assert response.json() == { + "message": "Materialization named `druid_measures_cube__full__default.repair_orders_fact.order_date` on node " + f"`{cube_name}` version `v1.0` has been successfully deactivated", + } + + # Test that the materialization is no longer being returned + response = await client.get( + f"/nodes/{cube_name}/materializations", + ) + assert len(response.json()) == 0 + + # Test that the materialization is returned when show_inactive=true is used + response = await client.get( + f"/nodes/{cube_name}/materializations?show_inactive=true", + ) + assert len(response.json()) == 1 + + +async def test_deleting_node_with_materialization( + module__client_with_roads: AsyncClient, + set_temporal_column: Callable, +): + """ + Test that deleting a node with a materialization works + """ + client = module__client_with_roads + cube_name = "default.repairs_analysis" + await create_cube_with_materialization( + client, + set_temporal_column, + cube_name=cube_name, + strategy="incremental_time", + schedule="@daily", + ) + response = await client.delete(f"/nodes/{cube_name}") + assert ( + response.json()["message"] + == f"Node `{cube_name}` has been successfully deleted." + ) + + +@pytest.mark.asyncio +async def test_list_node_availability_states_across_versions( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test listing availability states across all node versions. + This is the endpoint used by the UI for version-based materialization tabs. + """ + client = module__client_with_roads + + # Create a cube for testing + cube_name = "default.test_availability_cube" + response = await client.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.country"], + "description": "Test cube for availability states", + "mode": "published", + "name": cube_name, + }, + ) + assert response.status_code == 201 + initial_version = response.json()["version"] + + # Add availability state for the initial version + await client.post( + f"/data/{cube_name}/availability/", + json={ + "catalog": "default", + "schema_": "test_schema", + "table": "test_table_v1", + "valid_through_ts": 20220131, + "url": "http://example.com/table_v1", + "min_temporal_partition": ["2022", "01", "01"], + "max_temporal_partition": ["2022", "01", "31"], + }, + ) + + # Update cube with refresh_materialization to create new version + response = await client.patch( + f"/nodes/{cube_name}/?refresh_materialization=true", + json={ + "description": "Updated cube to create new version", + }, + ) + assert response.status_code == 200 + new_version = response.json()["version"] + assert new_version != initial_version + + # Add availability state for the new version + await client.post( + f"/data/{cube_name}/availability/", + json={ + "catalog": "default", + "schema_": "test_schema", + "table": "test_table_v2", + "valid_through_ts": 20220228, + "url": "http://example.com/table_v2", + "min_temporal_partition": ["2022", "02", "01"], + "max_temporal_partition": ["2022", "02", "28"], + }, + ) + + # List availability states across all versions + response = await client.get(f"/nodes/{cube_name}/availability/") + assert response.status_code == 200 + availability_states = response.json() + + # Should have availability states for both versions + assert len(availability_states) == 2 + + # Group by node_version to verify we have both versions + states_by_version: dict[str, list] = {} + for state in availability_states: + version = state.get("node_version", initial_version) + if version not in states_by_version: + states_by_version[version] = [] + states_by_version[version].append(state) + + assert len(states_by_version) == 2 + assert initial_version in states_by_version + assert new_version in states_by_version + + # Verify each version has the correct table name + v1_states = states_by_version[initial_version] + v2_states = states_by_version[new_version] + + assert len(v1_states) == 1 + assert len(v2_states) == 1 + assert v1_states[0]["table"] == "test_table_v1" + assert v2_states[0]["table"] == "test_table_v2" + + +@pytest.mark.asyncio +async def test_list_node_availability_states_single_version( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test listing availability states for a node with only one version. + """ + client = module__client_with_roads + + # Create a simple cube + cube_name = "default.single_version_cube" + response = await client.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.country"], + "description": "Single version test cube", + "mode": "published", + "name": cube_name, + }, + ) + assert response.status_code == 201 + + # Add one availability state + await client.post( + f"/data/{cube_name}/availability/", + json={ + "catalog": "default", + "schema_": "test_schema", + "table": "single_version_table", + "valid_through_ts": 20220131, + "url": "http://example.com/single_table", + "min_temporal_partition": ["2022", "01", "01"], + "max_temporal_partition": ["2022", "01", "31"], + }, + ) + + # List availability states + response = await client.get(f"/nodes/{cube_name}/availability/") + assert response.status_code == 200 + availability_states = response.json() + + assert len(availability_states) == 1 + state = availability_states[0] + assert state["table"] == "single_version_table" + assert state["catalog"] == "default" + assert state["schema_"] == "test_schema" + assert state["url"] == "http://example.com/single_table" + assert state["valid_through_ts"] == 20220131 + assert state["min_temporal_partition"] == ["2022", "01", "01"] + assert state["max_temporal_partition"] == ["2022", "01", "31"] + + +@pytest.mark.asyncio +async def test_list_node_availability_states_no_states( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test listing availability states for a node with no availability states. + """ + client = module__client_with_roads + + # Create a cube with no availability states + cube_name = "default.no_availability_cube" + response = await client.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.country"], + "description": "Cube with no availability states", + "mode": "published", + "name": cube_name, + }, + ) + assert response.status_code == 201 + + # List availability states - should be empty + response = await client.get(f"/nodes/{cube_name}/availability/") + assert response.status_code == 200 + availability_states = response.json() + assert len(availability_states) == 0 + + +@pytest.mark.asyncio +async def test_list_node_availability_states_nonexistent_node( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test listing availability states for a node that doesn't exist. + """ + client = module__client_with_roads + + # Try to list availability states for non-existent node + response = await client.get("/nodes/nonexistent.node/availability/") + assert response.status_code == 404 + assert "does not exist" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_list_node_availability_states_with_links_and_partitions( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test listing availability states with complex partition and link data. + """ + client = module__client_with_roads + + # Create a cube for testing + cube_name = "default.complex_availability_cube" + response = await client.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.country"], + "description": "Test cube with complex availability", + "mode": "published", + "name": cube_name, + }, + ) + assert response.status_code == 201 + + # Add availability state with links and partitions + await client.post( + f"/data/{cube_name}/availability/", + json={ + "catalog": "default", + "schema_": "test_schema", + "table": "complex_table", + "valid_through_ts": 20220131, + "url": "http://example.com/complex_table", + "min_temporal_partition": ["2022", "01", "01"], + "max_temporal_partition": ["2022", "01", "31"], + "categorical_partitions": ["country", "region"], + "temporal_partitions": ["date", "hour"], + "links": {"dashboard": "http://dashboard.example.com"}, + "partitions": [ + { + "value": ["US", "west"], + "min_temporal_partition": ["2022", "01", "01"], + "max_temporal_partition": ["2022", "01", "15"], + "valid_through_ts": 20220115, + }, + ], + }, + ) + + # List availability states + response = await client.get(f"/nodes/{cube_name}/availability/") + assert response.status_code == 200 + availability_states = response.json() + + assert len(availability_states) == 1 + state = availability_states[0] + assert state["categorical_partitions"] == ["country", "region"] + assert state["temporal_partitions"] == ["date", "hour"] + assert state["links"] == {"dashboard": "http://dashboard.example.com"} + assert len(state["partitions"]) == 1 + partition = state["partitions"][0] + assert partition["value"] == ["US", "west"] + assert partition["valid_through_ts"] == 20220115 diff --git a/datajunction-server/tests/api/measures_test.py b/datajunction-server/tests/api/measures_test.py new file mode 100644 index 000000000..b28f35daa --- /dev/null +++ b/datajunction-server/tests/api/measures_test.py @@ -0,0 +1,308 @@ +""" +Tests for the namespaces API. +""" + +from typing import Dict + +import pytest +from httpx import AsyncClient + + +def completed_repairs_measure(measure_name: str = "completed_repairs") -> Dict: + """ + Test ``GET /measures/``. + """ + return { + "name": f"{measure_name}", + "description": "Number of completed repairs", + "columns": [ + { + "node": "default.regional_level_agg", + "column": "completed_repairs", + }, + ], + } + + +@pytest.fixture +def failed_measure() -> Dict: + """ + Measure that will fail due to one of the columns not existing + """ + return { + "name": "completed_repairs2", + "description": "Number of completed repairs", + "columns": [ + { + "node": "default.regional_level_agg", + "column": "completed_repairs", + }, + { + "node": "default.national_level_agg", + "column": "completed_repairs", + }, + ], + } + + +@pytest.mark.asyncio +async def test_list_all_measures( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test ``GET /measures/``. + """ + response = await module__client_with_roads.get("/measures/") + assert response.status_code in (200, 201) + assert response.json() == [] + + await module__client_with_roads.post( + "/measures/", + json=completed_repairs_measure(measure_name="completed_repairs_1"), + ) + + response = await module__client_with_roads.get("/measures/") + assert response.status_code in (200, 201) + assert response.json() == ["completed_repairs_1"] + + response = await module__client_with_roads.get("/measures/?prefix=comp") + assert response.status_code in (200, 201) + assert response.json() == ["completed_repairs_1"] + + response = await module__client_with_roads.get("/measures/?prefix=xyz") + assert response.status_code in (200, 201) + assert response.json() == [] + + response = await module__client_with_roads.get("/measures/completed_repairs_1") + assert response.status_code in (200, 201) + assert response.json() == { + "additive": "non-additive", + "columns": [ + { + "name": "completed_repairs", + "node": "default.regional_level_agg", + "type": "bigint", + }, + ], + "description": "Number of completed repairs", + "display_name": "Completed Repairs 1", + "name": "completed_repairs_1", + } + + response = await module__client_with_roads.get("/measures/random_measure") + assert response.status_code >= 400 + assert ( + response.json()["message"] + == "Measure with name `random_measure` does not exist" + ) + + +@pytest.mark.asyncio +async def test_create_measure( + module__client_with_roads: AsyncClient, + failed_measure: Dict, +) -> None: + """ + Test ``POST /measures/``. + """ + # Successful measure creation + response = await module__client_with_roads.post( + "/measures/", + json=completed_repairs_measure(measure_name="completed_repairs_2"), + ) + assert response.status_code in (200, 201) + assert response.json() == { + "additive": "non-additive", + "columns": [ + { + "name": "completed_repairs", + "node": "default.regional_level_agg", + "type": "bigint", + }, + ], + "description": "Number of completed repairs", + "display_name": "Completed Repairs 2", + "name": "completed_repairs_2", + } + + # Creating the same measure again will fail + response = await module__client_with_roads.post( + "/measures/", + json=completed_repairs_measure(measure_name="completed_repairs_2"), + ) + assert response.status_code >= 400 + assert response.json()["message"] == "Measure `completed_repairs_2` already exists!" + + # Failed measure creation + response = await module__client_with_roads.post("/measures/", json=failed_measure) + assert response.status_code >= 400 + assert response.json()["message"] == ( + "Column `completed_repairs` does not exist on node `default.national_level_agg`" + ) + + +@pytest.mark.asyncio +async def test_edit_measure( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test ``PATCH /measures/{name}``. + """ + await module__client_with_roads.post( + "/measures", + json=completed_repairs_measure(measure_name="completed_repairs_3"), + ) + + # Successfully edit measure + response = await module__client_with_roads.patch( + "/measures/completed_repairs_3", + json={ + "additive": "additive", + "display_name": "blah", + "description": "random description", + }, + ) + assert response.status_code in (200, 201) + assert response.json() == { + "additive": "additive", + "columns": [ + { + "name": "completed_repairs", + "node": "default.regional_level_agg", + "type": "bigint", + }, + ], + "description": "random description", + "display_name": "blah", + "name": "completed_repairs_3", + } + + response = await module__client_with_roads.patch( + "/measures/completed_repairs_3", + json={ + "additive": "non-additive", + "columns": [], + }, + ) + assert response.status_code in (200, 201) + assert response.json() == { + "additive": "non-additive", + "columns": [], + "description": "random description", + "display_name": "blah", + "name": "completed_repairs_3", + } + + response = await module__client_with_roads.patch( + "/measures/completed_repairs_3", + json={ + "columns": [ + { + "node": "default.regional_level_agg", + "column": "completed_repairs", + }, + { + "node": "default.national_level_agg", + "column": "total_amount_nationwide", + }, + ], + }, + ) + assert response.status_code in (200, 201) + assert response.json() == { + "additive": "non-additive", + "columns": [ + { + "name": "completed_repairs", + "node": "default.regional_level_agg", + "type": "bigint", + }, + { + "name": "total_amount_nationwide", + "node": "default.national_level_agg", + "type": "double", + }, + ], + "description": "random description", + "display_name": "blah", + "name": "completed_repairs_3", + } + + # Failed edit + response = await module__client_with_roads.patch( + "/measures/completed_repairs_3", + json={ + "columns": [ + { + "node": "default.regional_level_agg", + "column": "completed_repairs", + }, + { + "node": "default.national_level_agg", + "column": "non_existent_column", + }, + ], + }, + ) + assert response.status_code >= 400 + assert response.json()["message"] == ( + "Column `non_existent_column` does not exist on node `default.national_level_agg`" + ) + + +@pytest.mark.asyncio +async def test_list_frozen_measures( + module__client_with_roads: AsyncClient, +): + """ + Test ``GET /frozen-measures``. + """ + response = await module__client_with_roads.get( + "/frozen-measures", + ) + frozen_measures = response.json() + assert len(frozen_measures) >= 20 + + response = await module__client_with_roads.get( + "/frozen-measures?aggregation=SUM", + ) + frozen_measures = response.json() + assert len(frozen_measures) >= 10 + + response = await module__client_with_roads.get( + "/frozen-measures?upstream_name=default.regional_level_agg", + ) + frozen_measures = response.json() + assert len(frozen_measures) >= 4 + + response = await module__client_with_roads.get( + "/frozen-measures?upstream_name=default.repair_orders_fact&upstream_version=v1.0", + ) + frozen_measures = response.json() + assert len(frozen_measures) >= 11 + + response = await module__client_with_roads.get( + "/frozen-measures?prefix=repair_order_id_count_bd241964", + ) + frozen_measures = response.json() + assert frozen_measures == [ + { + "aggregation": "COUNT", + "expression": "repair_order_id", + "name": "repair_order_id_count_bd241964", + "rule": { + "level": None, + "type": "full", + }, + "upstream_revision": { + "name": "default.repair_orders_fact", + "version": "v1.0", + }, + "used_by_node_revisions": [ + { + "name": "default.num_repair_orders", + "version": "v1.0", + }, + ], + }, + ] diff --git a/datajunction-server/tests/api/metrics_test.py b/datajunction-server/tests/api/metrics_test.py new file mode 100644 index 000000000..e193a8318 --- /dev/null +++ b/datajunction-server/tests/api/metrics_test.py @@ -0,0 +1,1452 @@ +""" +Tests for the metrics API. +""" + +from unittest.mock import patch +import pytest +import pytest_asyncio + +from httpx import AsyncClient +from sqlalchemy import select, text +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.attributetype import AttributeType, ColumnAttribute +from datajunction_server.database.column import Column +from datajunction_server.database.database import Database +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User, OAuthProvider +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing.types import FloatType, IntegerType, StringType + +expected_dimensions = [ + { + "name": "default.dispatcher.company_name", + "node_name": "default.dispatcher", + "node_display_name": "Dispatcher", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.dispatcher.dispatcher_id", + "node_name": "default.dispatcher", + "node_display_name": "Dispatcher", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact"], + "properties": ["primary_key"], + }, + { + "name": "default.dispatcher.phone", + "node_name": "default.dispatcher", + "node_display_name": "Dispatcher", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.address", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.birth_date", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "timestamp", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.city", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.contractor_id", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.country", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.first_name", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.hard_hat_id", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact"], + "properties": ["primary_key"], + }, + { + "name": "default.hard_hat.hire_date", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "timestamp", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.last_name", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.manager", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.postal_code", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.state", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat.title", + "node_name": "default.hard_hat", + "node_display_name": "Hard Hat", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.address", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.birth_date", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "timestamp", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.city", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.contractor_id", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.country", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.first_name", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.hard_hat_id", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact"], + "properties": ["primary_key"], + }, + { + "name": "default.hard_hat_to_delete.hire_date", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "timestamp", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.last_name", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.manager", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.postal_code", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.state", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.hard_hat_to_delete.title", + "node_name": "default.hard_hat_to_delete", + "node_display_name": "Hard Hat To Delete", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.municipality_dim.contact_name", + "node_name": "default.municipality_dim", + "node_display_name": "Municipality Dim", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.municipality_dim.contact_title", + "node_name": "default.municipality_dim", + "node_display_name": "Municipality Dim", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.municipality_dim.local_region", + "node_name": "default.municipality_dim", + "node_display_name": "Municipality Dim", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.municipality_dim.municipality_id", + "node_name": "default.municipality_dim", + "node_display_name": "Municipality Dim", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": ["primary_key"], + }, + { + "name": "default.municipality_dim.municipality_type_desc", + "node_name": "default.municipality_dim", + "node_display_name": "Municipality Dim", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.municipality_dim.municipality_type_id", + "node_name": "default.municipality_dim", + "node_display_name": "Municipality Dim", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.municipality_dim.state_id", + "node_name": "default.municipality_dim", + "node_display_name": "Municipality Dim", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact"], + "properties": [], + }, + { + "name": "default.us_state.state_id", + "node_name": "default.us_state", + "node_display_name": "Us State", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact", "default.hard_hat"], + "properties": [], + }, + { + "name": "default.us_state.state_name", + "node_name": "default.us_state", + "node_display_name": "Us State", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact", "default.hard_hat"], + "properties": [], + }, + { + "name": "default.us_state.state_region", + "node_name": "default.us_state", + "node_display_name": "Us State", + "filter_only": False, + "type": "int", + "path": ["default.repair_orders_fact", "default.hard_hat"], + "properties": [], + }, + { + "name": "default.us_state.state_short", + "node_name": "default.us_state", + "node_display_name": "Us State", + "filter_only": False, + "type": "string", + "path": ["default.repair_orders_fact", "default.hard_hat"], + "properties": ["primary_key"], + }, +] + + +@pytest.mark.asyncio +async def test_read_metrics(module__client_with_roads: AsyncClient) -> None: + """ + Test ``GET /metrics/``. + """ + response = await module__client_with_roads.get("/metrics/") + data = response.json() + + assert response.status_code == 200 + assert len(data) > 5 + + response = await module__client_with_roads.get("/metrics/default.num_repair_orders") + data = response.json() + assert data["metric_metadata"] == { + "direction": "higher_is_better", + "unit": { + "abbreviation": "$", + "category": "currency", + "description": None, + "label": "Dollar", + "name": "dollar", + }, + "max_decimal_exponent": None, + "min_decimal_exponent": None, + "significant_digits": None, + } + assert data["upstream_node"] == "default.repair_orders_fact" + assert data["expression"] == "count(repair_order_id)" + assert data["custom_metadata"] == {"foo": "bar"} + + response = await module__client_with_roads.get( + "/metrics/default.discounted_orders_rate", + ) + data = response.json() + assert data["incompatible_druid_functions"] == ["IF"] + assert data["measures"] == [ + { + "aggregation": "SUM", + "expression": "if(discount > 0.0, 1, 0)", + "name": "discount_sum_30b84e6c", + "merge": "SUM", + "rule": { + "level": None, + "type": "full", + }, + }, + { + "aggregation": "COUNT", + "expression": "*", + "merge": "SUM", + "name": "count_c8e42e74", + "rule": { + "level": None, + "type": "full", + }, + }, + ] + assert data["derived_query"] == ( + "SELECT CAST(SUM(discount_sum_30b84e6c) AS DOUBLE) / SUM(count_c8e42e74) AS " + "default_DOT_discounted_orders_rate \n FROM default.repair_orders_fact" + ) + assert data["derived_expression"] == ( + "CAST(SUM(discount_sum_30b84e6c) AS DOUBLE) / SUM(count_c8e42e74) " + "AS default_DOT_discounted_orders_rate" + ) + assert data["custom_metadata"] is None + + +@pytest_asyncio.fixture(scope="module") +async def module__current_user(module__session: AsyncSession) -> User: + """ + A user fixture. + """ + new_user = User( + username="dj", + password="dj", + email="dj@datajunction.io", + name="DJ", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + ) + existing_user = await User.get_by_username(module__session, new_user.username) + if not existing_user: + module__session.add(new_user) + await module__session.commit() + user = new_user + else: + user = existing_user + return user + + +@pytest.mark.asyncio +async def test_read_metric( + module__session: AsyncSession, + module__client: AsyncClient, + module__current_user: User, +) -> None: + """ + Test ``GET /metric/{node_id}/``. + """ + await module__client.get("/attributes/") + dimension_attribute = ( + await module__session.execute( + select(AttributeType).where(AttributeType.name == "dimension"), + ) + ).scalar_one() + parent_rev = NodeRevision( + name="parent", + type=NodeType.SOURCE, + version="1", + columns=[ + Column( + name="ds", + type=StringType(), + attributes=[ColumnAttribute(attribute_type=dimension_attribute)], + order=0, + ), + Column( + name="user_id", + type=IntegerType(), + attributes=[ColumnAttribute(attribute_type=dimension_attribute)], + order=2, + ), + Column( + name="foo", + type=FloatType(), + attributes=[ColumnAttribute(attribute_type=dimension_attribute)], + order=3, + ), + ], + created_by_id=module__current_user.id, + ) + parent_node = Node( + name=parent_rev.name, + namespace="default", + type=NodeType.SOURCE, + current_version="1", + created_by_id=module__current_user.id, + ) + parent_rev.node = parent_node + + child_node = Node( + name="child", + namespace="default", + type=NodeType.METRIC, + current_version="1", + created_by_id=module__current_user.id, + ) + child_rev = NodeRevision( + name=child_node.name, + node=child_node, + type=child_node.type, + version="1", + query="SELECT COUNT(*) FROM parent", + parents=[parent_node], + created_by_id=module__current_user.id, + ) + + module__session.add(child_rev) + await module__session.commit() + + response = await module__client.get("/metrics/child/") + data = response.json() + + assert response.status_code == 200 + assert data["name"] == "child" + assert data["query"] == "SELECT COUNT(*) FROM parent" + assert data["dimensions"] == [ + { + "filter_only": False, + "name": "parent.ds", + "node_display_name": "Parent", + "node_name": "parent", + "path": [], + "type": "string", + "properties": ["dimension"], + }, + { + "filter_only": False, + "name": "parent.foo", + "node_display_name": "Parent", + "node_name": "parent", + "path": [], + "type": "float", + "properties": ["dimension"], + }, + { + "filter_only": False, + "name": "parent.user_id", + "node_display_name": "Parent", + "node_name": "parent", + "path": [], + "type": "int", + "properties": ["dimension"], + }, + ] + + +@pytest.mark.asyncio +async def test_read_metrics_errors( + module__session: AsyncSession, + module__client: AsyncClient, + module__current_user: User, +) -> None: + """ + Test errors on ``GET /metrics/{node_id}/``. + """ + database = Database(name="test", URI="sqlite://") + node = Node( + name="a-metric", + namespace="default", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=module__current_user.id, + ) + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + query="SELECT 1 AS col", + created_by_id=module__current_user.id, + ) + module__session.add(database) + module__session.add(node_revision) + await module__session.execute(text("CREATE TABLE my_table (one TEXT)")) + await module__session.commit() + + response = await module__client.get("/metrics/foo") + assert response.status_code == 404 + data = response.json() + assert data["message"] == "A node with name `foo` does not exist." + + response = await module__client.get("/metrics/a-metric") + assert response.status_code == 400 + assert response.json() == {"detail": "Not a metric node: `a-metric`"} + + +@pytest.mark.asyncio +async def test_common_dimensions( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test ``GET /metrics/common/dimensions``. + """ + response = await module__client_with_roads.get( + "/metrics/common/dimensions?" + "metric=default.total_repair_order_discounts" + "&metric=default.total_repair_cost", + ) + assert response.status_code == 200 + assert response.json() == expected_dimensions + + +@pytest.mark.asyncio +async def test_no_common_dimensions( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test getting common dimensions for metrics that have none in common + """ + await module__client_with_roads.post( + "/nodes/source/", + json={ + "columns": [ + { + "name": "counts", + "type": "struct", + }, + ], + "description": "Collection of dreams", + "mode": "published", + "name": "basic.dreams_1", + "catalog": "public", + "schema_": "basic", + "table": "dreams", + }, + ) + + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": "SELECT SUM(counts.b) FROM basic.dreams_1", + "description": "Dream Counts", + "mode": "published", + "name": "basic.dream_count_1", + }, + ) + response = await module__client_with_roads.get( + "/metrics/common/dimensions?" + "metric=basic.dream_count_1&metric=default.total_repair_order_discounts", + ) + assert response.status_code == 200 + assert response.json() == [] + + +@pytest.mark.asyncio +async def test_raise_common_dimensions_not_a_metric_node( + module__client_with_account_revenue, +) -> None: + """ + Test raising ``GET /metrics/common/dimensions`` when not a metric node + """ + response = await module__client_with_account_revenue.get( + "/metrics/common/dimensions?" + "metric=default.total_repair_order_discounts" + "&metric=default.payment_type", + ) + assert response.status_code == 422 + assert response.json()["message"] == "Not a metric node: default.payment_type" + + +@pytest.mark.asyncio +async def test_raise_common_dimensions_metric_not_found( + module__client_with_roads: AsyncClient, +) -> None: + """ + Test raising ``GET /metrics/common/dimensions`` when metric not found + """ + response = await module__client_with_roads.get( + "/metrics/common/dimensions?metric=default.foo&metric=default.bar", + ) + assert response.status_code == 422 + assert response.json() == { + "errors": [ + { + "code": 203, + "context": "", + "debug": None, + "message": "Metric nodes not found: default.foo,default.bar", + }, + ], + "message": "Metric nodes not found: default.foo,default.bar", + "warnings": [], + } + + +@pytest.mark.asyncio +async def test_get_dimensions(module__client_with_roads: AsyncClient): + """ + Testing get dimensions for a metric + """ + response = await module__client_with_roads.get("/metrics/default.avg_repair_price/") + + data = response.json() + assert data["dimensions"] == expected_dimensions + + +@pytest.mark.asyncio +async def test_get_multi_link_dimensions( + module__client_with_dimension_link, +): + """ + In some cases, the same dimension may be linked to different columns on a node. + The returned dimension attributes should the join path between the given dimension + attribute and the original node, in order to help disambiguate the source of the dimension. + """ + response = await module__client_with_dimension_link.get( + "/metrics/default.avg_user_age/", + ) + assert response.json()["dimensions"] == [ + { + "name": "default.date_dim.dateint[birth_country->formation_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.birth_country", + "default.special_country_dim.formation_date", + ], + "type": "int", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "default.date_dim.dateint[birth_country->last_election_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.birth_country", + "default.special_country_dim.last_election_date", + ], + "type": "int", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "default.date_dim.dateint[residence_country->formation_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.residence_country", + "default.special_country_dim.formation_date", + ], + "type": "int", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "default.date_dim.dateint[residence_country->last_election_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.residence_country", + "default.special_country_dim.last_election_date", + ], + "type": "int", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "default.date_dim.day[birth_country->formation_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.birth_country", + "default.special_country_dim.formation_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.day[birth_country->last_election_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.birth_country", + "default.special_country_dim.last_election_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.day[residence_country->formation_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.residence_country", + "default.special_country_dim.formation_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.day[residence_country->last_election_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.residence_country", + "default.special_country_dim.last_election_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.month[birth_country->formation_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.birth_country", + "default.special_country_dim.formation_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.month[birth_country->last_election_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.birth_country", + "default.special_country_dim.last_election_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.month[residence_country->formation_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.residence_country", + "default.special_country_dim.formation_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.month[residence_country->last_election_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.residence_country", + "default.special_country_dim.last_election_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.year[birth_country->formation_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.birth_country", + "default.special_country_dim.formation_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.year[birth_country->last_election_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.birth_country", + "default.special_country_dim.last_election_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.year[residence_country->formation_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.residence_country", + "default.special_country_dim.formation_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.date_dim.year[residence_country->last_election_date]", + "node_display_name": "Date Dim", + "node_name": "default.date_dim", + "path": [ + "default.user_dim.residence_country", + "default.special_country_dim.last_election_date", + ], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.special_country_dim.country_code[birth_country]", + "node_display_name": "Special Country Dim", + "node_name": "default.special_country_dim", + "path": ["default.user_dim.birth_country"], + "type": "string", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "default.special_country_dim.country_code[residence_country]", + "node_display_name": "Special Country Dim", + "node_name": "default.special_country_dim", + "path": ["default.user_dim.residence_country"], + "type": "string", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "default.special_country_dim.formation_date[birth_country]", + "node_display_name": "Special Country Dim", + "node_name": "default.special_country_dim", + "path": ["default.user_dim.birth_country"], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.special_country_dim.formation_date[residence_country]", + "node_display_name": "Special Country Dim", + "node_name": "default.special_country_dim", + "path": ["default.user_dim.residence_country"], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.special_country_dim.last_election_date[birth_country]", + "node_display_name": "Special Country Dim", + "node_name": "default.special_country_dim", + "path": ["default.user_dim.birth_country"], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.special_country_dim.last_election_date[residence_country]", + "node_display_name": "Special Country Dim", + "node_name": "default.special_country_dim", + "path": ["default.user_dim.residence_country"], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.special_country_dim.name[birth_country]", + "node_display_name": "Special Country Dim", + "node_name": "default.special_country_dim", + "path": ["default.user_dim.birth_country"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "default.special_country_dim.name[residence_country]", + "node_display_name": "Special Country Dim", + "node_name": "default.special_country_dim", + "path": ["default.user_dim.residence_country"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "default.user_dim.age", + "node_display_name": "User Dim", + "node_name": "default.user_dim", + "path": [], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "default.user_dim.birth_country", + "node_display_name": "User Dim", + "node_name": "default.user_dim", + "path": [], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "filter_only": False, + "name": "default.user_dim.birth_date", + "node_display_name": "User Dim", + "node_name": "default.user_dim", + "path": [], + "properties": [], + "type": "int", + }, + { + "name": "default.user_dim.residence_country", + "node_display_name": "User Dim", + "node_name": "default.user_dim", + "path": [], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "default.user_dim.user_id", + "node_display_name": "User Dim", + "node_name": "default.user_dim", + "path": [], + "type": "int", + "filter_only": False, + "properties": ["primary_key"], + }, + ] + + +@pytest.mark.asyncio +async def test_type_inference_structs(module__client_with_roads: AsyncClient): + """ + Testing type resolution for structs select + """ + await module__client_with_roads.post( + "/nodes/source/", + json={ + "columns": [ + { + "name": "counts", + "type": "struct", + }, + ], + "description": "Collection of dreams", + "mode": "published", + "name": "basic.dreams_3", + "catalog": "public", + "schema_": "basic", + "table": "dreams", + }, + ) + + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": "SELECT SUM(counts.b) FROM basic.dreams_3", + "description": "Dream Counts", + "mode": "published", + "name": "basic.dream_count", + }, + ) + response.json() + + +@pytest.mark.asyncio +async def test_metric_expression_auto_aliased(module__client_with_roads: AsyncClient): + """ + Testing that a metric's expression column is automatically aliased + """ + await module__client_with_roads.post("/namespaces/basic") + await module__client_with_roads.post( + "/nodes/source/", + json={ + "columns": [ + { + "name": "counts", + "type": "struct", + }, + ], + "description": "Collection of dreams", + "mode": "published", + "name": "basic.dreams_4", + "catalog": "public", + "schema_": "basic", + "table": "dreams", + }, + ) + + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": "SELECT SUM(counts.b) + SUM(counts.b) FROM basic.dreams_4", + "description": "Dream Counts", + "mode": "published", + "name": "basic.dream_count_4", + }, + ) + assert response.status_code == 201 + data = response.json() + assert data["owners"] == [{"username": "dj"}] + assert data["query"] == "SELECT SUM(counts.b) + SUM(counts.b) FROM basic.dreams_4" + assert data["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Dream Count 4", + "name": "basic_DOT_dream_count_4", + "partition": None, + "type": "bigint", + }, + ] + + +@pytest.mark.asyncio +async def test_raise_on_malformated_expression_alias( + module__client_with_roads: AsyncClient, +): + """ + Test that using an invalid alias for a metric expression is saved, but the alias + is overridden when creating the column name + """ + await module__client_with_roads.post("/namespaces/basic") + response = await module__client_with_roads.post( + "/nodes/source/", + json={ + "columns": [ + { + "name": "counts", + "type": "struct", + }, + ], + "description": "Collection of dreams", + "mode": "published", + "name": "basic.dreams_5", + "catalog": "public", + "schema_": "basic", + "table": "dreams", + }, + ) + assert response.status_code == 200 + + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": "SELECT SUM(counts.b) as foo FROM basic.dreams_5", + "description": "Dream Counts", + "mode": "published", + "name": "basic.dream_count_5", + }, + ) + assert response.status_code == 201 + data = response.json() + assert data["query"] == "SELECT SUM(counts.b) as foo FROM basic.dreams_5" + assert data["columns"][0]["name"] == "basic_DOT_dream_count_5" + + +@pytest.mark.asyncio +async def test_raise_on_multiple_expressions(module__client_with_roads: AsyncClient): + """ + Testing raising when there is more than one expression + """ + await module__client_with_roads.post("/namespaces/basic") + response = await module__client_with_roads.post( + "/nodes/source/", + json={ + "columns": [ + { + "name": "counts", + "type": "struct", + }, + ], + "description": "Collection of dreams", + "mode": "published", + "name": "basic.dreams_2", + "catalog": "public", + "schema_": "basic", + "table": "dreams", + }, + ) + assert response.status_code == 200 + + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": "SELECT SUM(counts.b), COUNT(counts.b) FROM basic.dreams_2", + "description": "Dream Counts", + "mode": "published", + "name": "basic.dream_count_2", + }, + ) + assert response.status_code == 400 + assert ( + "Metric queries can only have a single expression, found 2" + ) in response.json()["message"] + + +@pytest.mark.asyncio +async def test_list_metric_metadata(module__client: AsyncClient): + """ + Test listing metric metadata values + """ + metric_metadata_options = (await module__client.get("/metrics/metadata")).json() + assert metric_metadata_options == { + "directions": ["higher_is_better", "lower_is_better", "neutral"], + "units": [ + { + "abbreviation": None, + "category": "", + "description": None, + "label": "Unknown", + "name": "unknown", + }, + { + "abbreviation": None, + "category": "", + "description": None, + "label": "Unitless", + "name": "unitless", + }, + { + "abbreviation": "%", + "category": "", + "description": "A ratio expressed as a number out of 100. Values " + "range from 0 to 100.", + "label": "Percentage", + "name": "percentage", + }, + { + "abbreviation": "", + "category": "", + "description": "A ratio that compares a part to a whole. Values " + "range from 0 to 1.", + "label": "Proportion", + "name": "proportion", + }, + { + "abbreviation": "$", + "category": "currency", + "description": None, + "label": "Dollar", + "name": "dollar", + }, + { + "abbreviation": "s", + "category": "time", + "description": None, + "label": "Second", + "name": "second", + }, + { + "abbreviation": "m", + "category": "time", + "description": None, + "label": "Minute", + "name": "minute", + }, + { + "abbreviation": "h", + "category": "time", + "description": None, + "label": "Hour", + "name": "hour", + }, + { + "abbreviation": "d", + "category": "time", + "description": None, + "label": "Day", + "name": "day", + }, + { + "abbreviation": "w", + "category": "time", + "description": None, + "label": "Week", + "name": "week", + }, + { + "abbreviation": "mo", + "category": "time", + "description": None, + "label": "Month", + "name": "month", + }, + { + "abbreviation": "y", + "category": "time", + "description": None, + "label": "Year", + "name": "year", + }, + ], + } + + +@pytest.mark.asyncio +async def test_create_valid_metrics(module__client_with_roads: AsyncClient): + """ + Validate that creating a metric wo description is aOK. + """ + # without description + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": ("SELECT sum(total_repair_cost) FROM default.repair_orders_fact"), + "mode": "published", + "name": "default.invalid_metric_example_wo_desc", + }, + ) + assert response.status_code == 201 + + # without mode + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": ("SELECT sum(total_repair_cost) FROM default.repair_orders_fact"), + "name": "default.invalid_metric_example_wo_mode", + }, + ) + assert response.status_code == 201 + + +@pytest.mark.asyncio +async def test_create_invalid_metric(module__client_with_roads: AsyncClient): + """ + Validate that creating a metric with invalid SQL raises errors. + """ + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": ( + "SELECT sum(total_repair_cost), " + "sum(total_repair_cost) FROM default.repair_orders_fact" + ), + "description": "Something invalid", + "mode": "published", + "name": "default.invalid_metric_example", + }, + ) + assert response.json()["message"] == ( + "Metric queries can only have a single expression, found 2" + ) + + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": ( + "SELECT sum(total_repair_cost) FROM default.repair_orders_fact" + " WHERE total_repair_cost > 0" + ), + "description": "Something invalid", + "mode": "published", + "name": "default.invalid_metric_example", + }, + ) + assert response.json()["message"] == ( + "Metric cannot have a WHERE clause. Please use IF(, ...) instead" + ) + + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": ( + "SELECT sum(total_repair_cost) FROM default.repair_orders_fact " + "GROUP BY total_repair_cost HAVING count(*) > 0 ORDER BY 1" + ), + "description": "Something invalid", + "mode": "published", + "name": "default.invalid_metric_example", + }, + ) + assert response.json()["message"] == ( + "Metric has an invalid query. The following are not allowed: GROUP BY, HAVING, ORDER BY" + ) + + response = await module__client_with_roads.post( + "/nodes/metric/", + json={ + "query": ( + "SELECT sum(non_existent_column) FROM default.repair_orders_fact" + ), + "description": "Metric with non-existent column", + "mode": "published", + "name": "default.invalid_metric_missing_column", + }, + ) + data = response.json() + assert response.status_code == 400 + assert ( + "Metric definition references missing columns: non_existent_column" + in data["message"] + ) + + +@pytest.mark.asyncio +async def test_read_metrics_when_cached( + module__client: AsyncClient, +) -> None: + """ + Test ``GET /metrics/`` with mocked cache returning a list of strings. + """ + with patch( + "datajunction_server.api.metrics.list_nodes", + return_value=["metric1", "metric2", "metric3"], + ) as mock_list_nodes: + # Should be a cache miss + response1 = await module__client.get( + "/metrics/", + headers={"Cache-Control": "no-cache"}, + ) + assert response1.status_code == 200 + + # list_nodes should be called + assert mock_list_nodes.call_count == 1 + + # Should be a cache miss and repopulate the cache + response1 = await module__client.get("/metrics/") + assert response1.status_code == 200 + + # Should be a cache hit + response2 = await module__client.get("/metrics/") + assert response2.status_code == 200 diff --git a/datajunction-server/tests/api/namespaces_test.py b/datajunction-server/tests/api/namespaces_test.py new file mode 100644 index 000000000..1ce29a56c --- /dev/null +++ b/datajunction-server/tests/api/namespaces_test.py @@ -0,0 +1,1615 @@ +""" +Tests for the namespaces API. +""" + +from http import HTTPStatus +from unittest import mock + +import asyncio +from unittest import mock + +import pytest + +from datajunction_server.models.deployment import ( + BulkNamespaceSourcesRequest, + BulkNamespaceSourcesResponse, + ColumnSpec, + DeploymentSourceType, + DeploymentSpec, + GitDeploymentSource, + LocalDeploymentSource, + NamespaceSourcesResponse, + SourceSpec, +) + +import pytest +from httpx import AsyncClient + +from datajunction_server.internal.access.authorization import ( + AuthorizationService, +) +from datajunction_server.models import access + + +@pytest.fixture(autouse=True, scope="module") +def patch_effective_writer_concurrency(): + from datajunction_server.internal.deployment.deployment import settings + + with mock.patch.object( + settings.__class__, + "effective_writer_concurrency", + new_callable=mock.PropertyMock, + return_value=1, + ): + yield + + +@pytest.mark.asyncio +async def test_list_all_namespaces( + module__client_with_all_examples: AsyncClient, +) -> None: + """ + Test ``GET /namespaces/``. + """ + response = await module__client_with_all_examples.get("/namespaces/") + assert response.status_code in (200, 201) + assert response.json() == [ + {"namespace": "basic", "num_nodes": 8}, + {"namespace": "basic.dimension", "num_nodes": 2}, + {"namespace": "basic.source", "num_nodes": 2}, + {"namespace": "basic.transform", "num_nodes": 1}, + {"namespace": "dbt.dimension", "num_nodes": 1}, + {"namespace": "dbt.source", "num_nodes": 0}, + {"namespace": "dbt.source.jaffle_shop", "num_nodes": 2}, + {"namespace": "dbt.source.stripe", "num_nodes": 1}, + {"namespace": "dbt.transform", "num_nodes": 1}, + {"namespace": "default", "num_nodes": 82}, + { + "namespace": "different.basic", + "num_nodes": 2, + }, + { + "namespace": "different.basic.dimension", + "num_nodes": 2, + }, + { + "namespace": "different.basic.source", + "num_nodes": 2, + }, + { + "namespace": "different.basic.transform", + "num_nodes": 1, + }, + {"namespace": "foo.bar", "num_nodes": 26}, + {"namespace": "hll", "num_nodes": 4}, + {"namespace": "v3", "num_nodes": 44}, + ] + + +@pytest.mark.asyncio +async def test_list_nodes_by_namespace( + module__client_with_all_examples: AsyncClient, +) -> None: + """ + Test ``GET /namespaces/{namespace}/``. + """ + response = await module__client_with_all_examples.get("/namespaces/basic.source/") + assert response.status_code in (200, 201) + assert {n["name"] for n in response.json()} == { + "basic.source.users", + "basic.source.comments", + } + + response = await module__client_with_all_examples.get( + "/namespaces/basic/?with_edited_by=true", + ) + assert response.status_code in (200, 201) + assert {n["name"] for n in response.json()} == { + "basic.avg_luminosity_patches", + "basic.corrected_patches", + "basic.source.users", + "basic.dimension.users", + "basic.murals", + "basic.source.comments", + "basic.dimension.countries", + "basic.transform.country_agg", + "basic.num_comments", + "basic.num_users", + "basic.paint_colors_spark", + "basic.paint_colors_trino", + "basic.patches", + } + countries_dim = [ + n for n in response.json() if n["name"] == "basic.dimension.countries" + ][0] + assert countries_dim == { + "description": "Country dimension", + "display_name": "Countries", + "edited_by": [ + "dj", + ], + "mode": "published", + "name": "basic.dimension.countries", + "status": "valid", + "tags": [], + "type": "dimension", + "updated_at": mock.ANY, + "version": "v1.0", + } + + response = await module__client_with_all_examples.get( + "/namespaces/basic/?type_=dimension&with_edited_by=false", + ) + countries_dim = [ + n for n in response.json() if n["name"] == "basic.dimension.countries" + ][0] + assert countries_dim["edited_by"] is None + + response = await module__client_with_all_examples.get( + "/namespaces/basic/?type_=dimension", + ) + assert response.status_code in (200, 201) + assert {n["name"] for n in response.json()} == { + "basic.dimension.users", + "basic.dimension.countries", + "basic.paint_colors_trino", + "basic.paint_colors_spark", + } + + response = await module__client_with_all_examples.get( + "/namespaces/basic/?type_=source", + ) + assert response.status_code in (200, 201) + assert {n["name"] for n in response.json()} == { + "basic.source.comments", + "basic.source.users", + "basic.murals", + "basic.patches", + } + + +@pytest.mark.asyncio +async def test_deactivate_namespaces(client_with_namespaced_roads: AsyncClient) -> None: + """ + Test ``DELETE /namespaces/{namespace}``. + """ + # Cannot deactivate if there are nodes under the namespace + response = await client_with_namespaced_roads.delete( + "/namespaces/foo.bar/?cascade=false", + ) + assert response.json() == { + "message": "Cannot deactivate node namespace `foo.bar` as there are still " + "active nodes under that namespace.", + } + + # Can deactivate with cascade + response = await client_with_namespaced_roads.delete( + "/namespaces/foo.bar/?cascade=true", + ) + message = response.json()["message"] + assert ( + "Namespace `foo.bar` has been deactivated. The following nodes " + "have also been deactivated:" + ) in message + nodes = [ + "foo.bar.avg_time_to_dispatch", + "foo.bar.avg_repair_order_discounts", + "foo.bar.total_repair_order_discounts", + "foo.bar.avg_length_of_employment", + "foo.bar.total_repair_cost", + "foo.bar.avg_repair_price", + "foo.bar.num_repair_orders", + "foo.bar.municipality_dim", + "foo.bar.dispatcher", + "foo.bar.us_state", + "foo.bar.local_hard_hats", + "foo.bar.hard_hat", + "foo.bar.contractor", + "foo.bar.repair_order", + "foo.bar.us_region", + "foo.bar.us_states", + "foo.bar.hard_hat_state", + "foo.bar.hard_hats", + "foo.bar.dispatchers", + "foo.bar.municipality", + "foo.bar.municipality_type", + "foo.bar.municipality_municipality_type", + "foo.bar.contractors", + "foo.bar.repair_type", + "foo.bar.repair_order_details", + "foo.bar.repair_orders", + ] + for node in nodes: + assert node in message + + # Check that the namespace is no longer listed + response = await client_with_namespaced_roads.get("/namespaces/") + assert response.status_code in (200, 201) + assert "foo.bar" not in {n["namespace"] for n in response.json()} + + response = await client_with_namespaced_roads.delete( + "/namespaces/foo.bar/?cascade=false", + ) + assert response.json()["message"] == "Namespace `foo.bar` is already deactivated." + + # Try restoring + response = await client_with_namespaced_roads.post("/namespaces/foo.bar/restore/") + assert response.json() == { + "message": "Namespace `foo.bar` has been restored.", + } + + # Check that the namespace is back + response = await client_with_namespaced_roads.get("/namespaces/") + assert response.status_code in (200, 201) + assert "foo.bar" in {n["namespace"] for n in response.json()} + + # Check that nodes in the namespace remain deactivated + response = await client_with_namespaced_roads.get("/namespaces/foo.bar/") + assert response.status_code in (200, 201) + assert response.json() == [] + + # Restore with cascade=true should also restore all the nodes + await client_with_namespaced_roads.delete("/namespaces/foo.bar/?cascade=false") + response = await client_with_namespaced_roads.post( + "/namespaces/foo.bar/restore/?cascade=true", + ) + message = response.json()["message"] + assert ( + "Namespace `foo.bar` has been restored. The following nodes have " + "also been restored:" + ) in message + for node in nodes: + assert node in message + + # Calling restore again will raise + response = await client_with_namespaced_roads.post( + "/namespaces/foo.bar/restore/?cascade=true", + ) + assert ( + response.json()["message"] + == "Node namespace `foo.bar` already exists and is active." + ) + + # Check that nodes in the namespace are restored + response = await client_with_namespaced_roads.get("/namespaces/foo.bar/") + assert response.status_code in (200, 201) + assert {n["name"] for n in response.json()} == { + "foo.bar.repair_orders", + "foo.bar.repair_order_details", + "foo.bar.repair_type", + "foo.bar.contractors", + "foo.bar.municipality_municipality_type", + "foo.bar.municipality_type", + "foo.bar.municipality", + "foo.bar.dispatchers", + "foo.bar.hard_hats", + "foo.bar.hard_hat_state", + "foo.bar.us_states", + "foo.bar.us_region", + "foo.bar.repair_order", + "foo.bar.contractor", + "foo.bar.hard_hat", + "foo.bar.local_hard_hats", + "foo.bar.us_state", + "foo.bar.dispatcher", + "foo.bar.municipality_dim", + "foo.bar.num_repair_orders", + "foo.bar.avg_repair_price", + "foo.bar.total_repair_cost", + "foo.bar.avg_length_of_employment", + "foo.bar.total_repair_order_discounts", + "foo.bar.avg_repair_order_discounts", + "foo.bar.avg_time_to_dispatch", + } + + response = await client_with_namespaced_roads.get("/history/namespace/foo.bar/") + assert [ + (activity["activity_type"], activity["details"]) for activity in response.json() + ] == [ + ( + "restore", + { + "message": mock.ANY, + }, + ), + ("delete", {"message": "Namespace `foo.bar` has been deactivated."}), + ("restore", {"message": "Namespace `foo.bar` has been restored."}), + ( + "delete", + { + "message": mock.ANY, + }, + ), + ("create", {}), + ] + + response = await client_with_namespaced_roads.get( + "/history?node=foo.bar.avg_length_of_employment", + ) + assert sorted( + [ + (activity["activity_type"], activity["details"]) + for activity in response.json() + ], + ) == sorted( + [ + ("restore", {"message": "Cascaded from restoring namespace `foo.bar`"}), + ("status_change", {"upstream_node": "foo.bar.hard_hats"}), + ("status_change", {"upstream_node": "foo.bar.hard_hats"}), + ("delete", {"message": "Cascaded from deactivating namespace `foo.bar`"}), + ("create", {}), + ], + ) + + +@pytest.mark.asyncio +async def test_hard_delete_namespace(client_example_loader: AsyncClient): + """ + Test hard deleting a namespace + """ + client_with_namespaced_roads = await client_example_loader( + ["NAMESPACED_ROADS", "ROADS"], + ) + + response = await client_with_namespaced_roads.post( + "/nodes/default.hard_hat/link", + json={ + "dimension_node": "foo.bar.hard_hat", + "join_on": "foo.bar.hard_hat.hard_hat_id = default.hard_hat.hard_hat_id", + "join_type": "left", + }, + ) + + response = await client_with_namespaced_roads.post( + "/nodes/transform", + json={ + "description": "Hard hat dimension #2", + "query": "SELECT hard_hat_id FROM foo.bar.hard_hat", + "mode": "published", + "name": "default.hard_hat0", + "primary_key": ["hard_hat_id"], + }, + ) + + response = await client_with_namespaced_roads.delete("/namespaces/foo/hard/") + assert response.json()["message"] == ( + "Cannot hard delete namespace `foo` as there are still the following nodes " + "under it: `['foo.bar.avg_length_of_employment', " + "'foo.bar.avg_repair_order_discounts', 'foo.bar.avg_repair_price', " + "'foo.bar.avg_time_to_dispatch', 'foo.bar.contractor', 'foo.bar.contractors', " + "'foo.bar.dispatcher', 'foo.bar.dispatchers', 'foo.bar.hard_hat', " + "'foo.bar.hard_hats', 'foo.bar.hard_hat_state', 'foo.bar.local_hard_hats', " + "'foo.bar.municipality', 'foo.bar.municipality_dim', " + "'foo.bar.municipality_municipality_type', 'foo.bar.municipality_type', " + "'foo.bar.num_repair_orders', 'foo.bar.repair_order', " + "'foo.bar.repair_order_details', 'foo.bar.repair_orders', " + "'foo.bar.repair_type', 'foo.bar.total_repair_cost', " + "'foo.bar.total_repair_order_discounts', 'foo.bar.us_region', " + "'foo.bar.us_state', 'foo.bar.us_states']`. Set `cascade` to true to " + "additionally hard delete the above nodes in this namespace. WARNING: this " + "action cannot be undone." + ) + + await client_with_namespaced_roads.post("/namespaces/foo/") + await client_with_namespaced_roads.post("/namespaces/foo.bar.baz/") + await client_with_namespaced_roads.post("/namespaces/foo.bar.baf/") + await client_with_namespaced_roads.post("/namespaces/foo.bar.bif.d/") + + # Deactivating a few nodes should still allow the hard delete to go through + await client_with_namespaced_roads.delete( + "/nodes/foo.bar.avg_length_of_employment", + ) + await client_with_namespaced_roads.delete( + "/nodes/foo.bar.avg_repair_order_discounts", + ) + + hard_delete_response = await client_with_namespaced_roads.delete( + "/namespaces/foo.bar/hard/?cascade=true", + ) + result = hard_delete_response.json() + assert result["message"] == "The namespace `foo.bar` has been completely removed." + assert result["impact"]["deleted_namespaces"] == [ + "foo.bar", + "foo.bar.baz", + "foo.bar.baf", + "foo.bar.bif.d", + ] + assert result["impact"]["deleted_nodes"] == [ + "foo.bar.avg_length_of_employment", + "foo.bar.avg_repair_order_discounts", + "foo.bar.avg_repair_price", + "foo.bar.avg_time_to_dispatch", + "foo.bar.contractor", + "foo.bar.contractors", + "foo.bar.dispatcher", + "foo.bar.dispatchers", + "foo.bar.hard_hat", + "foo.bar.hard_hats", + "foo.bar.hard_hat_state", + "foo.bar.local_hard_hats", + "foo.bar.municipality", + "foo.bar.municipality_dim", + "foo.bar.municipality_municipality_type", + "foo.bar.municipality_type", + "foo.bar.num_repair_orders", + "foo.bar.repair_order", + "foo.bar.repair_order_details", + "foo.bar.repair_orders", + "foo.bar.repair_type", + "foo.bar.total_repair_cost", + "foo.bar.total_repair_order_discounts", + "foo.bar.us_region", + "foo.bar.us_state", + "foo.bar.us_states", + ] + assert result["impact"]["impacted"]["downstreams"] == [ + { + "caused_by": [ + "foo.bar.hard_hat", + "foo.bar.hard_hats", + ], + "name": "default.hard_hat0", + }, + ] + # Check that all expected impacted links are present (the link from default.hard_hat + # to foo.bar.hard_hat affects multiple nodes) + impacted_links = {link["name"] for link in result["impact"]["impacted"]["links"]} + assert "default.repair_orders_fact" in impacted_links + assert "default.hard_hat" in impacted_links + # All impacted links should be caused by foo.bar.hard_hat + for link in result["impact"]["impacted"]["links"]: + assert "foo.bar.hard_hat" in link["caused_by"] + list_namespaces_response = await client_with_namespaced_roads.get( + "/namespaces/", + ) + # Check that the deleted namespace (foo.bar) is no longer present + # and that foo namespace still exists (now empty) + namespaces = {ns["namespace"]: ns for ns in list_namespaces_response.json()} + assert "foo.bar" not in namespaces + assert "foo" in namespaces + assert namespaces["foo"]["num_nodes"] == 0 + + response = await client_with_namespaced_roads.delete( + "/namespaces/jaffle_shop/hard/?cascade=true", + ) + assert response.json() == { + "errors": [], + "message": "Namespace `jaffle_shop` does not exist.", + "warnings": [], + } + + +@pytest.mark.asyncio +async def test_create_namespace(client_with_service_setup: AsyncClient): + """ + Verify creating namespaces, both successful and validation errors + """ + # By default, creating a namespace will also create its parents (i.e., like mkdir -p) + response = await client_with_service_setup.post( + "/namespaces/aaa.bbb.ccc?include_parents=true", + ) + assert response.json() == { + "message": "The following node namespaces have been successfully created: " + "aaa, aaa.bbb, aaa.bbb.ccc", + } + + # Verify that the parent namespaces already exist if we try to create it again + response = await client_with_service_setup.post("/namespaces/aaa") + assert response.json() == {"message": "Node namespace `aaa` already exists"} + response = await client_with_service_setup.post("/namespaces/aaa.bbb") + assert response.json() == {"message": "Node namespace `aaa.bbb` already exists"} + + # Setting include_parents=false will not create the parents + response = await client_with_service_setup.post( + "/namespaces/acde.mmm?include_parents=false", + ) + assert response.json() == { + "message": "The following node namespaces have been successfully created: acde.mmm", + } + response = await client_with_service_setup.get("/namespaces/acde") + assert response.json()["message"] == "node namespace `acde` does not exist." + + # Setting include_parents=true will create the parents + response = await client_with_service_setup.post( + "/namespaces/a.b.c?include_parents=true", + ) + assert response.json() == { + "message": "The following node namespaces have been successfully created: a, a.b, a.b.c", + } + + # Verify that it raises when creating an invalid namespace + invalid_namespaces = [ + "a.111b.c", + "111mm.abcd", + "aa.bb.111", + "1234", + "aa..bb", + "user.abc", + "[aff].mmm", + "aff._mmm", + "aff.mmm+", + "aff.123_mmm", + ] + for invalid_namespace in invalid_namespaces: + response = await client_with_service_setup.post( + f"/namespaces/{invalid_namespace}", + ) + assert response.status_code == 422 + assert response.json()["message"] == ( + f"{invalid_namespace} is not a valid namespace. Namespace parts cannot start " + "with numbers, be empty, or use the reserved keyword [user]" + ) + + +@pytest.mark.asyncio +async def test_export_namespaces(client_with_roads: AsyncClient): + """ + Test exporting a namespace to a project definition + """ + # Create a cube so that the cube definition export path is tested + response = await client_with_roads.post( + "/nodes/cube/", + json={ + "name": "default.example_cube", + "display_name": "Example Cube", + "description": "An example cube so that the export path is tested", + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.city", "default.hard_hat.hire_date"], + "mode": "published", + }, + ) + assert response.status_code in (200, 201) + + # Mark a column as a dimension attribute + response = await client_with_roads.post( + "/nodes/default.regional_level_agg/columns/location_hierarchy/attributes", + json=[ + { + "name": "dimension", + "namespace": "system", + }, + ], + ) + assert response.status_code in (200, 201) + + # Mark a column as a partition + await client_with_roads.post( + "/nodes/default.example_cube/columns/default.hard_hat.hire_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + + # Deactivate one node so that it is not included in the export + response = await client_with_roads.delete( + "/nodes/default.hard_hat_to_delete", + ) + assert response.status_code == HTTPStatus.OK + + response = await client_with_roads.get( + "/namespaces/default/export/", + ) + project_definition = response.json() + + # Check that nodes are topologically sorted + sorted_nodes = [entity["build_name"] for entity in project_definition] + assert sorted_nodes[-1] == "example_cube" + + node_defs = {d["filename"]: d for d in project_definition} + assert node_defs["example_cube.cube.yaml"] == { + "build_name": "example_cube", + "columns": [ + { + "name": "default.hard_hat.hire_date", + "partition": { + "format": "yyyyMMdd", + "granularity": "day", + "type_": "temporal", + }, + }, + ], + "description": "An example cube so that the export path is tested", + "dimensions": ["default.hard_hat.hire_date", "default.hard_hat.city"], + "directory": "", + "display_name": "Example Cube", + "filename": "example_cube.cube.yaml", + "metrics": ["default.num_repair_orders"], + "tags": [], + } + assert node_defs["repair_orders_fact.transform.yaml"]["dimension_links"] == [ + { + "dimension_node": "default.municipality_dim", + "join_on": "default.repair_orders_fact.municipality_id = " + "default.municipality_dim.municipality_id", + "join_type": "inner", + "type": "join", + }, + { + "dimension_node": "default.hard_hat", + "join_on": "default.repair_orders_fact.hard_hat_id = default.hard_hat.hard_hat_id", + "join_type": "inner", + "type": "join", + }, + { + "dimension_node": "default.hard_hat_to_delete", + "join_on": "default.repair_orders_fact.hard_hat_id = " + "default.hard_hat_to_delete.hard_hat_id", + "join_type": "left", + "type": "join", + }, + { + "dimension_node": "default.dispatcher", + "join_on": "default.repair_orders_fact.dispatcher_id = " + "default.dispatcher.dispatcher_id", + "join_type": "inner", + "type": "join", + }, + ] + + # Check that all expected ROADS nodes are present (template may have more) + expected_roads_nodes = { + "avg_length_of_employment.metric.yaml", + "avg_repair_order_discounts.metric.yaml", + "avg_repair_price.metric.yaml", + "avg_time_to_dispatch.metric.yaml", + "contractor.dimension.yaml", + "contractors.source.yaml", + "discounted_orders_rate.metric.yaml", + "dispatcher.dimension.yaml", + "dispatchers.source.yaml", + "example_cube.cube.yaml", + "hard_hat.dimension.yaml", + "hard_hat_2.dimension.yaml", + "hard_hat_state.source.yaml", + # "hard_hat_to_delete.dimension.yaml", <-- this node has been deactivated + "hard_hats.source.yaml", + "local_hard_hats.dimension.yaml", + "local_hard_hats_1.dimension.yaml", + "local_hard_hats_2.dimension.yaml", + "municipality.source.yaml", + "municipality_dim.dimension.yaml", + "municipality_municipality_type.source.yaml", + "municipality_type.source.yaml", + "national_level_agg.transform.yaml", + "num_repair_orders.metric.yaml", + "num_unique_hard_hats_approx.metric.yaml", + "regional_level_agg.transform.yaml", + "regional_repair_efficiency.metric.yaml", + "repair_order.dimension.yaml", + "repair_order_details.source.yaml", + "repair_orders.source.yaml", + "repair_orders_fact.transform.yaml", + "repair_type.source.yaml", + "total_repair_cost.metric.yaml", + "total_repair_order_discounts.metric.yaml", + "us_region.source.yaml", + "us_state.dimension.yaml", + "us_states.source.yaml", + "repair_orders_view.source.yaml", + } + assert expected_roads_nodes.issubset(set(node_defs.keys())) + assert {d["directory"] for d in project_definition} == {""} + + +@pytest.mark.asyncio +async def test_export_namespaces_deployment(client_with_roads: AsyncClient): + # Create a cube so that the cube definition export path is tested + response = await client_with_roads.post( + "/nodes/cube/", + json={ + "name": "default.example_cube", + "display_name": "Example Cube", + "description": "An example cube so that the export path is tested", + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.city", "default.hard_hat.hire_date"], + "mode": "published", + }, + ) + assert response.status_code in (200, 201) + + # Mark a column as a dimension attribute + response = await client_with_roads.post( + "/nodes/default.regional_level_agg/columns/location_hierarchy/attributes", + json=[ + { + "name": "dimension", + "namespace": "system", + }, + ], + ) + assert response.status_code in (200, 201) + + # Mark a column as a partition + await client_with_roads.post( + "/nodes/default.example_cube/columns/default.hard_hat.hire_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + + # Deactivate one node so that it is not included in the export + response = await client_with_roads.delete( + "/nodes/default.hard_hat_to_delete", + ) + assert response.status_code == HTTPStatus.OK + + response = await client_with_roads.get("/namespaces/default/export/spec") + assert response.status_code in (200, 201) + data = response.json() + assert data["namespace"] == "default" + # Template has all examples loaded, so there will be more than just ROADS nodes + assert len(data["nodes"]) >= 37 + # Check that all expected ROADS nodes are present + expected_roads_nodes = { + "${prefix}repair_orders_view", + "${prefix}municipality_municipality_type", + "${prefix}municipality_type", + "${prefix}municipality", + "${prefix}dispatchers", + "${prefix}example_cube", + "${prefix}hard_hats", + "${prefix}hard_hat_state", + "${prefix}us_states", + "${prefix}us_region", + "${prefix}contractor", + "${prefix}hard_hat_2", + # '${prefix}hard_hat_to_delete', <-- this node has been deactivated + "${prefix}local_hard_hats", + "${prefix}local_hard_hats_1", + "${prefix}local_hard_hats_2", + "${prefix}us_state", + "${prefix}dispatcher", + "${prefix}municipality_dim", + "${prefix}regional_level_agg", + "${prefix}national_level_agg", + "${prefix}regional_repair_efficiency", + "${prefix}num_repair_orders", + "${prefix}num_unique_hard_hats_approx", + "${prefix}avg_repair_price", + "${prefix}total_repair_cost", + "${prefix}avg_length_of_employment", + "${prefix}discounted_orders_rate", + "${prefix}total_repair_order_discounts", + "${prefix}avg_repair_order_discounts", + "${prefix}avg_time_to_dispatch", + "${prefix}repair_orders_fact", + "${prefix}repair_type", + "${prefix}repair_orders", + "${prefix}contractors", + "${prefix}hard_hat", + "${prefix}repair_order_details", + "${prefix}repair_order", + } + actual_node_names = {node["name"] for node in data["nodes"]} + assert expected_roads_nodes.issubset(actual_node_names) + + node_defs = {node["name"]: node for node in data["nodes"]} + # Note: None values are filtered out in the export for cleaner output + assert node_defs["${prefix}example_cube"] == { + "owners": ["dj"], + "mode": "published", + "node_type": "cube", + "name": "${prefix}example_cube", + "columns": [ + { + "attributes": [], + "display_name": "Num Repair Orders", + "name": "default.num_repair_orders", + "type": "bigint", + }, + { + "attributes": [], + "display_name": "City", + "name": "default.hard_hat.city", + "type": "string", + }, + { + "attributes": [], + "display_name": "Hire Date", + "name": "default.hard_hat.hire_date", + "type": "timestamp", + "partition": { + "format": "yyyyMMdd", + "granularity": "day", + "type": "temporal", + }, + }, + ], + "description": "An example cube so that the export path is tested", + "dimensions": ["${prefix}hard_hat.city", "${prefix}hard_hat.hire_date"], + "display_name": "Example Cube", + "metrics": ["${prefix}num_repair_orders"], + "tags": [], + } + # Note: None values are filtered out in the export for cleaner output + assert node_defs["${prefix}repair_orders_fact"]["dimension_links"] == [ + { + "dimension_node": "${prefix}municipality_dim", + "join_on": "${prefix}repair_orders_fact.municipality_id = " + "${prefix}municipality_dim.municipality_id", + "join_type": "inner", + "type": "join", + }, + { + "dimension_node": "${prefix}hard_hat", + "join_on": "${prefix}repair_orders_fact.hard_hat_id = ${prefix}hard_hat.hard_hat_id", + "join_type": "inner", + "type": "join", + }, + { + "dimension_node": "${prefix}hard_hat_to_delete", + "join_on": "${prefix}repair_orders_fact.hard_hat_id = " + "${prefix}hard_hat_to_delete.hard_hat_id", + "join_type": "left", + "type": "join", + }, + { + "dimension_node": "${prefix}dispatcher", + "join_on": "${prefix}repair_orders_fact.dispatcher_id = ${prefix}dispatcher.dispatcher_id", + "join_type": "inner", + "type": "join", + }, + ] + + +class DbtOnlyAuthorizationService(AuthorizationService): + """ + Authorization service that only approves namespaces containing 'dbt'. + """ + + name = "dbt_only" + + def authorize(self, auth_context, requests): + return [ + access.AccessDecision( + request=request, + approved=( + request.access_object.resource_type == access.ResourceType.NAMESPACE + and "dbt" in request.access_object.name + ), + ) + for request in requests + ] + + +@pytest.mark.asyncio +async def test_list_all_namespaces_access_limited( + client_with_dbt: AsyncClient, + mocker, +) -> None: + """ + Test ``GET /namespaces/``. + """ + + def get_dbt_only_service(): + return DbtOnlyAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_dbt_only_service, + ) + + response = await client_with_dbt.get("/namespaces/") + + assert response.status_code in (200, 201) + assert response.json() == [ + {"namespace": "dbt.dimension", "num_nodes": 1}, + {"namespace": "dbt.source", "num_nodes": 0}, + {"namespace": "dbt.source.jaffle_shop", "num_nodes": 2}, + {"namespace": "dbt.source.stripe", "num_nodes": 1}, + {"namespace": "dbt.transform", "num_nodes": 1}, + ] + + +class DenyAllAuthorizationService(AuthorizationService): + """ + Authorization service that denies all access requests. + """ + + name = "deny_all" + + def authorize(self, auth_context, requests): + return [ + access.AccessDecision( + request=request, + approved=False, + ) + for request in requests + ] + + +@pytest.mark.asyncio +async def test_list_all_namespaces_deny_all( + client_with_service_setup: AsyncClient, + mocker, +) -> None: + """ + Test ``GET /namespaces/``. + """ + + def get_deny_all_service(): + return DenyAllAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_deny_all_service, + ) + response = await client_with_service_setup.get("/namespaces/") + + assert response.status_code in (200, 201) + assert response.json() == [] + + +class TestNamespaceSourcesEndpoint: + """Tests for GET /namespaces/{namespace}/sources""" + + @pytest.mark.asyncio + async def test_sources_empty_namespace(self, client_with_roads): + """Test sources endpoint on a namespace with no deployments""" + response = await client_with_roads.get("/namespaces/nonexistent_ns/sources") + # Returns 200 with empty data (no deployments to this namespace) + assert response.status_code == 200 + + sources_response = NamespaceSourcesResponse(**response.json()) + assert sources_response.namespace == "nonexistent_ns" + assert sources_response.total_deployments == 0 + assert sources_response.primary_source is None + + @pytest.mark.asyncio + async def test_sources_after_git_deployment(self, client_with_roads): + """Test sources endpoint after a git-backed deployment""" + # Deploy with git source info + git_source = GitDeploymentSource( + repository="github.com/test/repo", + branch="main", + commit_sha="abc123", + ci_system="jenkins", + ci_run_url="https://jenkins.example.com/job/123", + ) + + deployment_spec = DeploymentSpec( + namespace="sources_test_git", + nodes=[ + SourceSpec( + name="test_source", + catalog="default", + schema_="test", + table="test_table", + columns=[ + ColumnSpec(name="id", type="int"), + ], + ), + ], + source=git_source, + ) + + # Deploy + deploy_response = await client_with_roads.post( + "/deployments", + json=deployment_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment to complete + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Query sources + response = await client_with_roads.get("/namespaces/sources_test_git/sources") + assert response.status_code == 200 + + sources_response = NamespaceSourcesResponse(**response.json()) + assert sources_response.namespace == "sources_test_git" + assert sources_response.total_deployments == 1 + + # Verify primary source is git + assert sources_response.primary_source is not None + assert sources_response.primary_source.type == "git" + assert sources_response.primary_source.repository == "github.com/test/repo" + assert sources_response.primary_source.branch == "main" + + @pytest.mark.asyncio + async def test_sources_after_local_deployment(self, client_with_roads): + """Test sources endpoint after a local/adhoc deployment""" + # Deploy with local source info + local_source = LocalDeploymentSource( + hostname="my-laptop", + reason="testing", + ) + + deployment_spec = DeploymentSpec( + namespace="sources_test_local", + nodes=[ + SourceSpec( + name="test_source", + catalog="default", + schema_="test", + table="test_table", + columns=[ + ColumnSpec(name="id", type="int"), + ], + ), + ], + source=local_source, + ) + + # Deploy + deploy_response = await client_with_roads.post( + "/deployments", + json=deployment_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment to complete + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Query sources + response = await client_with_roads.get("/namespaces/sources_test_local/sources") + assert response.status_code == 200 + + sources_response = NamespaceSourcesResponse(**response.json()) + assert sources_response.namespace == "sources_test_local" + assert sources_response.total_deployments == 1 + + # Verify primary source is local + assert sources_response.primary_source is not None + assert sources_response.primary_source.type == "local" + + @pytest.mark.asyncio + async def test_sources_multiple_sources(self, client_with_roads): + """Test sources endpoint when multiple sources have deployed""" + namespace = "sources_test_multiple" + + # First deployment from git + git_source = GitDeploymentSource( + repository="github.com/team-a/repo", + branch="main", + ) + deployment_spec1 = DeploymentSpec( + namespace=namespace, + nodes=[ + SourceSpec( + name="source_a", + catalog="default", + schema_="test", + table="table_a", + columns=[ColumnSpec(name="id", type="int")], + ), + ], + source=git_source, + ) + + deploy_response1 = await client_with_roads.post( + "/deployments", + json=deployment_spec1.model_dump(by_alias=True), + ) + assert deploy_response1.status_code == 200 + + # Wait for first deployment + deployment_id1 = deploy_response1.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id1}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Second deployment from a different git repo + git_source2 = GitDeploymentSource( + repository="github.com/team-b/other-repo", + branch="develop", + ) + deployment_spec2 = DeploymentSpec( + namespace=namespace, + nodes=[ + SourceSpec( + name="source_a", + catalog="default", + schema_="test", + table="table_a", + columns=[ColumnSpec(name="id", type="int")], + ), + SourceSpec( + name="source_b", + catalog="default", + schema_="test", + table="table_b", + columns=[ColumnSpec(name="id", type="int")], + ), + ], + source=git_source2, + ) + + deploy_response2 = await client_with_roads.post( + "/deployments", + json=deployment_spec2.model_dump(by_alias=True), + ) + assert deploy_response2.status_code == 200 + + # Wait for second deployment + deployment_id2 = deploy_response2.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id2}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Query sources + response = await client_with_roads.get(f"/namespaces/{namespace}/sources") + assert response.status_code == 200 + + sources_response = NamespaceSourcesResponse(**response.json()) + assert sources_response.namespace == namespace + assert sources_response.total_deployments == 2 + + # Primary source determined by majority among recent deployments + # Both are git so it should be git + assert sources_response.primary_source is not None + assert sources_response.primary_source.type == "git" + + @pytest.mark.asyncio + async def test_sources_no_source_info_legacy(self, client_with_roads): + """Test sources endpoint with deployments that have no source info (legacy)""" + # Deploy without source info (like legacy deployments) + deployment_spec = DeploymentSpec( + namespace="sources_test_legacy", + nodes=[ + SourceSpec( + name="test_source", + catalog="default", + schema_="test", + table="test_table", + columns=[ + ColumnSpec(name="id", type="int"), + ], + ), + ], + # No source field + ) + + # Deploy + deploy_response = await client_with_roads.post( + "/deployments", + json=deployment_spec.model_dump(by_alias=True), + ) + assert deploy_response.status_code == 200 + + # Wait for deployment to complete + deployment_id = deploy_response.json()["uuid"] + for _ in range(30): + status_response = await client_with_roads.get( + f"/deployments/{deployment_id}", + ) + if status_response.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Query sources + response = await client_with_roads.get( + "/namespaces/sources_test_legacy/sources", + ) + assert response.status_code == 200 + + sources_response = NamespaceSourcesResponse(**response.json()) + assert sources_response.namespace == "sources_test_legacy" + assert sources_response.total_deployments == 1 + + # Legacy deployments should be treated as local + assert sources_response.primary_source is not None + assert sources_response.primary_source.type == "local" + + +class TestBulkNamespaceSources: + """Tests for POST /namespaces/sources/bulk endpoint.""" + + @pytest.mark.asyncio + async def test_bulk_sources_empty(self, client_with_roads): + """Test bulk sources with no namespaces requested.""" + request = BulkNamespaceSourcesRequest(namespaces=[]) + response = await client_with_roads.post( + "/namespaces/sources/bulk", + json=request.model_dump(), + ) + assert response.status_code == 200 + + bulk_response = BulkNamespaceSourcesResponse(**response.json()) + assert bulk_response.sources == {} + + @pytest.mark.asyncio + async def test_bulk_sources_nonexistent_namespaces(self, client_with_roads): + """Test bulk sources for namespaces that don't exist.""" + request = BulkNamespaceSourcesRequest( + namespaces=["nonexistent_a", "nonexistent_b"], + ) + response = await client_with_roads.post( + "/namespaces/sources/bulk", + json=request.model_dump(), + ) + assert response.status_code == 200 + + bulk_response = BulkNamespaceSourcesResponse(**response.json()) + assert len(bulk_response.sources) == 2 + + # Both should have empty sources + assert bulk_response.sources["nonexistent_a"].total_deployments == 0 + assert bulk_response.sources["nonexistent_b"].total_deployments == 0 + + @pytest.mark.asyncio + async def test_bulk_sources_with_deployments(self, client_with_roads): + """Test bulk sources after deploying to multiple namespaces.""" + # Deploy to namespace A with git source + git_source = GitDeploymentSource( + repository="github.com/bulk-test/repo-a", + branch="main", + ) + spec_a = DeploymentSpec( + namespace="bulk_test_ns_a", + nodes=[ + SourceSpec( + name="source_a", + catalog="default", + schema_="test", + table="table_a", + columns=[ColumnSpec(name="id", type="int")], + ), + ], + source=git_source, + ) + + deploy_a = await client_with_roads.post( + "/deployments", + json=spec_a.model_dump(by_alias=True), + ) + assert deploy_a.status_code == 200 + + # Deploy to namespace B with local source + local_source = LocalDeploymentSource(hostname="test-machine") + spec_b = DeploymentSpec( + namespace="bulk_test_ns_b", + nodes=[ + SourceSpec( + name="source_b", + catalog="default", + schema_="test", + table="table_b", + columns=[ColumnSpec(name="id", type="int")], + ), + ], + source=local_source, + ) + + deploy_b = await client_with_roads.post( + "/deployments", + json=spec_b.model_dump(by_alias=True), + ) + assert deploy_b.status_code == 200 + + # Wait for both deployments + for deployment_id in [deploy_a.json()["uuid"], deploy_b.json()["uuid"]]: + for _ in range(30): + status = await client_with_roads.get(f"/deployments/{deployment_id}") + if status.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Bulk query both namespaces + request = BulkNamespaceSourcesRequest( + namespaces=["bulk_test_ns_a", "bulk_test_ns_b", "bulk_test_ns_c"], + ) + response = await client_with_roads.post( + "/namespaces/sources/bulk", + json=request.model_dump(), + ) + assert response.status_code == 200 + + bulk_response = BulkNamespaceSourcesResponse(**response.json()) + assert len(bulk_response.sources) == 3 + + # Namespace A should have git source + ns_a = bulk_response.sources["bulk_test_ns_a"] + assert ns_a.total_deployments == 1 + assert ns_a.primary_source is not None + assert ns_a.primary_source.type == DeploymentSourceType.GIT + assert ns_a.primary_source.repository == "github.com/bulk-test/repo-a" + + # Namespace B should have local source + ns_b = bulk_response.sources["bulk_test_ns_b"] + assert ns_b.total_deployments == 1 + assert ns_b.primary_source is not None + assert ns_b.primary_source.type == DeploymentSourceType.LOCAL + + # Namespace C should have no deployments + ns_c = bulk_response.sources["bulk_test_ns_c"] + assert ns_c.total_deployments == 0 + assert ns_c.primary_source is None + + @pytest.mark.asyncio + async def test_bulk_sources_single_namespace(self, client_with_roads): + """Test bulk sources with just one namespace (edge case).""" + # Deploy first + git_source = GitDeploymentSource( + repository="github.com/single-test/repo", + branch="develop", + ) + spec = DeploymentSpec( + namespace="bulk_single_ns", + nodes=[ + SourceSpec( + name="single_source", + catalog="default", + schema_="test", + table="single_table", + columns=[ColumnSpec(name="id", type="int")], + ), + ], + source=git_source, + ) + + deploy = await client_with_roads.post( + "/deployments", + json=spec.model_dump(by_alias=True), + ) + assert deploy.status_code == 200 + + # Wait for deployment + deployment_id = deploy.json()["uuid"] + for _ in range(30): + status = await client_with_roads.get(f"/deployments/{deployment_id}") + if status.json()["status"] in ("success", "failed"): + break + await asyncio.sleep(0.1) + + # Bulk query with single namespace + request = BulkNamespaceSourcesRequest(namespaces=["bulk_single_ns"]) + response = await client_with_roads.post( + "/namespaces/sources/bulk", + json=request.model_dump(), + ) + assert response.status_code == 200 + + bulk_response = BulkNamespaceSourcesResponse(**response.json()) + assert len(bulk_response.sources) == 1 + assert "bulk_single_ns" in bulk_response.sources + assert bulk_response.sources["bulk_single_ns"].total_deployments == 1 + + +class TestExportYaml: + """Tests for GET /namespaces/{namespace}/export/yaml endpoint (ZIP download)""" + + @pytest.mark.asyncio + async def test_export_yaml_returns_zip(self, client_with_roads): + """Test that export/yaml returns a valid ZIP file""" + import zipfile + import io + + response = await client_with_roads.get("/namespaces/default/export/yaml") + assert response.status_code == 200 + + # Check content type is ZIP + assert "application/zip" in response.headers.get("content-type", "") + + # Check content disposition header + content_disp = response.headers.get("content-disposition", "") + assert "attachment" in content_disp + assert "default_export.zip" in content_disp + + # Verify it's a valid ZIP file + zip_buffer = io.BytesIO(response.content) + with zipfile.ZipFile(zip_buffer, "r") as zf: + file_list = zf.namelist() + # Should have dj.yaml manifest + assert "dj.yaml" in file_list + + # Should have node files + assert len(file_list) > 1 + + # Read and verify dj.yaml content + import yaml + + manifest_content = zf.read("dj.yaml").decode("utf-8") + manifest = yaml.safe_load(manifest_content) + assert manifest["namespace"] == "default" + assert "name" in manifest + assert "description" in manifest + + @pytest.mark.asyncio + async def test_export_yaml_node_files_structure(self, client_with_roads): + """Test that exported node files have correct structure""" + import zipfile + import io + import yaml + + response = await client_with_roads.get("/namespaces/default/export/yaml") + assert response.status_code == 200 + + zip_buffer = io.BytesIO(response.content) + with zipfile.ZipFile(zip_buffer, "r") as zf: + # Get a node file (not dj.yaml) + node_files = [f for f in zf.namelist() if f != "dj.yaml"] + assert len(node_files) > 0 + + # Check at least one node file has valid YAML structure + for node_file in node_files[:3]: # Check first 3 node files + content = zf.read(node_file).decode("utf-8") + node_data = yaml.safe_load(content) + + # Node should have a name + assert "name" in node_data + # Node should have a node_type + assert "node_type" in node_data + + +class TestYamlHelpers: + """Tests for internal YAML helper functions""" + + def test_multiline_str_representer_with_newlines(self): + """Test that multiline strings get literal block style""" + from datajunction_server.internal.namespaces import _multiline_str_representer + import yaml + + dumper = yaml.SafeDumper("") + + # Test with multiline string + multiline = "SELECT *\nFROM table\nWHERE x = 1" + result = _multiline_str_representer(dumper, multiline) + assert result.style == "|" + + def test_multiline_str_representer_single_line(self): + """Test that single line strings don't get block style""" + from datajunction_server.internal.namespaces import _multiline_str_representer + import yaml + + dumper = yaml.SafeDumper("") + + # Test with single line string + single = "SELECT * FROM table" + result = _multiline_str_representer(dumper, single) + assert result.style is None # Default style + + def test_get_yaml_dumper(self): + """Test that YAML dumper uses literal block style for multiline strings""" + from datajunction_server.internal.namespaces import _get_yaml_dumper + from pathlib import Path + import yaml + + dumper = _get_yaml_dumper() + + # Verify it's a SafeDumper subclass + assert issubclass(dumper, yaml.SafeDumper) + + # Test dumping a multiline string uses literal block style + data = {"query": "SELECT *\nFROM table\nWHERE x = 1", "name": "test_node"} + output = yaml.dump(data, Dumper=dumper, sort_keys=False) + + # Compare against expected fixture + fixture_path = ( + Path(__file__).parent.parent / "fixtures" / "expected_multiline_query.yaml" + ) + expected = fixture_path.read_text() + assert output == expected + + def test_node_spec_to_yaml_dict_excludes_none(self): + """Test that _node_spec_to_yaml_dict excludes None values""" + from datajunction_server.internal.namespaces import _node_spec_to_yaml_dict + from datajunction_server.models.deployment import TransformSpec + + spec = TransformSpec( + name="test.node", + query="SELECT 1", + description=None, # Should be excluded + ) + + result = _node_spec_to_yaml_dict(spec) + + assert "name" in result + assert "query" in result + assert "description" not in result # None should be excluded + + def test_node_spec_to_yaml_dict_cube_excludes_columns(self): + """Test that cube nodes always exclude columns""" + from datajunction_server.internal.namespaces import _node_spec_to_yaml_dict + from datajunction_server.models.deployment import CubeSpec, ColumnSpec + + spec = CubeSpec( + name="test.cube", + metrics=["test.metric"], + dimensions=["test.dim"], + columns=[ + ColumnSpec(name="col1", type="int"), + ], + ) + + result = _node_spec_to_yaml_dict(spec) + + assert "columns" not in result + assert "metrics" in result + assert "dimensions" in result + + def test_node_spec_to_yaml_dict_filters_columns_without_customizations(self): + """Test that columns without customizations are filtered out""" + from datajunction_server.internal.namespaces import _node_spec_to_yaml_dict + from datajunction_server.models.deployment import TransformSpec, ColumnSpec + + spec = TransformSpec( + name="test.transform", + query="SELECT id, name FROM source", + columns=[ + # Column without customization - should be filtered + ColumnSpec(name="id", type="int"), + # Column with custom display_name - should be kept + ColumnSpec(name="name", type="string", display_name="Full Name"), + ], + ) + + result = _node_spec_to_yaml_dict(spec) + + # Only the column with customization should remain + if "columns" in result: + assert len(result["columns"]) == 1 + assert result["columns"][0]["name"] == "name" + assert result["columns"][0]["display_name"] == "Full Name" + # Type should be excluded from output + assert "type" not in result["columns"][0] + + def test_node_spec_to_yaml_dict_keeps_column_with_attributes(self): + """Test that columns with attributes are kept""" + from datajunction_server.internal.namespaces import _node_spec_to_yaml_dict + from datajunction_server.models.deployment import TransformSpec, ColumnSpec + + spec = TransformSpec( + name="test.transform", + query="SELECT id FROM source", + columns=[ + ColumnSpec(name="id", type="int", attributes=["primary_key"]), + ], + ) + + result = _node_spec_to_yaml_dict(spec) + + assert "columns" in result + assert len(result["columns"]) == 1 + assert result["columns"][0]["attributes"] == ["primary_key"] + + def test_node_spec_to_yaml_dict_removes_empty_columns(self): + """Test that columns key is removed when no columns have customizations""" + from datajunction_server.internal.namespaces import _node_spec_to_yaml_dict + from datajunction_server.models.deployment import TransformSpec, ColumnSpec + + spec = TransformSpec( + name="test.transform", + query="SELECT id, name FROM source", + columns=[ + # Both columns without customizations + ColumnSpec(name="id", type="int"), + ColumnSpec( + name="name", + type="string", + display_name="name", + ), # same as name + ], + ) + + result = _node_spec_to_yaml_dict(spec) + + # columns key should be removed entirely + assert "columns" not in result diff --git a/datajunction-server/tests/api/nodes_test.py b/datajunction-server/tests/api/nodes_test.py new file mode 100644 index 000000000..3fc7332b9 --- /dev/null +++ b/datajunction-server/tests/api/nodes_test.py @@ -0,0 +1,6296 @@ +""" +Tests for the nodes API. +""" + +import re +from typing import Any, Dict +from unittest import mock +from uuid import uuid4 + +import pytest +import pytest_asyncio +from httpx import AsyncClient +from pytest_mock import MockerFixture +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database import Catalog +from datajunction_server.database.column import Column +from datajunction_server.database.node import Node, NodeRelationship, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.internal.materializations import decompose_expression +from datajunction_server.models.node import NodeStatus +from datajunction_server.models.node_type import NodeType +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.sql.dag import get_upstream_nodes +from datajunction_server.sql.parsing import ast, types +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing.types import IntegerType, StringType, TimestampType +from tests.sql.utils import compare_query_strings + + +def materialization_compare(response, expected): + """Compares two materialization lists of json + configs paying special attention to query comparison""" + for materialization_response, materialization_expected in zip(response, expected): + assert compare_query_strings( + materialization_response["config"]["query"], + materialization_expected["config"]["query"], + ) + del materialization_response["config"]["query"] + del materialization_expected["config"]["query"] + assert materialization_response == materialization_expected + + +@pytest.mark.asyncio +async def test_read_node(client_with_roads: AsyncClient) -> None: + """ + Test ``GET /nodes/{node_id}``. + """ + response = await client_with_roads.get("/nodes/default.repair_orders/") + data = response.json() + + assert response.status_code == 200 + assert data["version"] == "v1.2" + assert data["node_id"] == 1 + assert data["node_revision_id"] > 1 + assert data["type"] == "source" + + response = await client_with_roads.get("/nodes/default.nothing/") + data = response.json() + + assert response.status_code == 404 + assert data["message"] == "A node with name `default.nothing` does not exist." + + # Check that getting nodes via prefixes works + response = await client_with_roads.get("/nodes/?prefix=default.ha") + data = response.json() + assert set(data) == { + "default.hard_hats", + "default.hard_hat_state", + "default.hard_hat_to_delete", + "default.hard_hat", + "default.hard_hat_2", + } + + +@pytest.mark.asyncio +async def test_read_nodes( + session: AsyncSession, + client: AsyncClient, + current_user: User, +) -> None: + """ + Test ``GET /nodes/``. + NOTE: Uses unique node names to avoid conflicts with template database. + """ + # Get the initial count of nodes (template database has many) + initial_response = await client.get("/nodes/") + initial_count = len(initial_response.json()) + + node1 = Node( + name="testread.not-a-metric", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + node_rev1 = NodeRevision( + node=node1, + version="1", + name=node1.name, + type=node1.type, + created_by_id=current_user.id, + ) + node2 = Node( + name="testread.also-not-a-metric", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + node_rev2 = NodeRevision( + name=node2.name, + node=node2, + version="1", + query="SELECT 42 AS answer", + type=node2.type, + columns=[ + Column(name="answer", type=IntegerType(), order=0), + ], + created_by_id=current_user.id, + ) + node3 = Node( + name="testread.a-metric", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + node_rev3 = NodeRevision( + name=node3.name, + node=node3, + version="1", + query="SELECT COUNT(*) FROM my_table", + columns=[ + Column(name="_col0", type=IntegerType(), order=0), + ], + type=node3.type, + created_by_id=current_user.id, + ) + session.add(node_rev1) + session.add(node_rev2) + session.add(node_rev3) + await session.commit() + + response = await client.get("/nodes/") + data = response.json() + + assert response.status_code == 200 + assert len(data) == initial_count + 3 + assert "testread.not-a-metric" in data + assert "testread.also-not-a-metric" in data + assert "testread.a-metric" in data + + response = await client.get("/nodes?node_type=metric") + data = response.json() + + assert response.status_code == 200 + # Template database has many metrics, just check our test metric is included + assert "testread.a-metric" in data + + +@pytest.mark.asyncio +async def test_get_nodes_with_details(client_with_examples: AsyncClient): + """ + Test getting all nodes with some details + """ + response = await client_with_examples.get("/nodes/details/") + assert response.status_code in (200, 201) + data = response.json() + assert {d["name"] for d in data} == { + "different.basic.dimension.countries", + "different.basic.dimension.users", + "different.basic.num_comments", + "different.basic.num_users", + "different.basic.source.comments", + "different.basic.source.users", + "different.basic.transform.country_agg", + "default.country_dim", + "foo.bar.us_state", + "basic.paint_colors_trino", + "foo.bar.us_region", + "default.avg_repair_order_discounts", + "foo.bar.hard_hats", + "foo.bar.dispatchers", + "foo.bar.us_states", + "default.sales", + "basic.patches", + "foo.bar.local_hard_hats", + "default.date_dim", + "foo.bar.hard_hat", + "default.long_events_distinct_countries", + "default.repair_type", + "default.total_repair_order_discounts", + "default.total_repair_cost", + "basic.source.comments", + "foo.bar.municipality_type", + "default.large_revenue_payments_and_business_only", + "default.large_revenue_payments_and_business_only_1", + "default.payment_type_table", + "default.local_hard_hats", + "default.local_hard_hats_1", + "default.local_hard_hats_2", + "default.dispatcher", + "foo.bar.repair_orders", + "basic.transform.country_agg", + "foo.bar.hard_hat_state", + "foo.bar.municipality_dim", + "foo.bar.repair_order_details", + "foo.bar.dispatcher", + "default.dispatchers", + "dbt.source.stripe.payments", + "default.national_level_agg", + "default.us_region", + "default.repair_order_details", + "default.contractor", + "foo.bar.total_repair_order_discounts", + "default.repair_orders", + "default.repair_orders_view", + "basic.paint_colors_spark", + "default.long_events", + "default.items", + "default.special_country_dim", + "default.avg_user_age", + "foo.bar.contractor", + "basic.avg_luminosity_patches", + "default.countries", + "default.discounted_orders_rate", + "default.municipality_municipality_type", + "default.user_dim", + "basic.corrected_patches", + "basic.num_users", + "default.regional_level_agg", + "default.revenue", + "foo.bar.contractors", + "foo.bar.avg_repair_order_discounts", + "foo.bar.municipality", + "dbt.source.jaffle_shop.customers", + "foo.bar.repair_order", + "default.account_type", + "foo.bar.avg_time_to_dispatch", + "basic.dimension.users", + "dbt.dimension.customers", + "basic.num_comments", + "default.us_state", + "default.hard_hats", + "default.items_sold_count", + "default.users", + "default.avg_repair_price", + "basic.murals", + "default.avg_length_of_employment", + "default.municipality_type", + "default.hard_hat_state", + "default.hard_hat_to_delete", + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "basic.source.users", + "default.date", + "default.us_states", + "foo.bar.total_repair_cost", + "default.device_ids_count", + "dbt.source.jaffle_shop.orders", + "dbt.transform.customer_agg", + "default.regional_repair_efficiency", + "foo.bar.num_repair_orders", + "default.hard_hat", + "default.hard_hat_2", + "foo.bar.municipality_municipality_type", + "basic.dimension.countries", + "default.number_of_account_types", + "default.municipality", + "default.payment_type", + "default.municipality_dim", + "default.contractors", + "default.total_profit", + "default.account_type_table", + "default.repair_order", + "foo.bar.avg_length_of_employment", + "foo.bar.avg_repair_price", + "default.avg_time_to_dispatch", + "default.event_source", + "foo.bar.repair_type", + "default.large_revenue_payments_only", + "default.large_revenue_payments_only_1", + "default.large_revenue_payments_only_2", + "default.large_revenue_payments_only_custom", + "default.repair_orders_fact", + "hll.category_dim", + "hll.events", + "hll.total_events", + "hll.unique_users", + # DERIVED_METRICS examples + "default.orders_source", + "default.events_source", + "default.inventory_source", + "default.dates_source", + "default.customers_source", + "default.warehouses_source", + "default.derived_date", + "default.customer", + "default.warehouse", + "default.dm_revenue", + "default.dm_orders", + "default.dm_page_views", + "default.dm_total_inventory", + "default.dm_revenue_per_order", + "default.dm_revenue_per_page_view", + "default.dm_wow_revenue_change", + "default.dm_mom_revenue_change", + # V3 examples + "v3.avg_items_per_order", + "v3.avg_order_value", + "v3.avg_unit_price", + "v3.completed_order_revenue", + "v3.conversion_rate", + "v3.customer", + "v3.customer_count", + "v3.date", + "v3.location", + "v3.max_unit_price", + "v3.min_unit_price", + "v3.mom_revenue_change", + "v3.order_count", + "v3.order_details", + "v3.page_view_count", + "v3.page_views_enriched", + "v3.pages_per_session", + "v3.price_spread", + "v3.price_spread_pct", + "v3.product", + "v3.product_view_count", + "v3.revenue_per_customer", + "v3.revenue_per_page_view", + "v3.revenue_per_visitor", + "v3.session_count", + "v3.src_customers", + "v3.src_dates", + "v3.src_locations", + "v3.src_order_items", + "v3.src_orders", + "v3.src_page_views", + "v3.src_products", + "v3.top_product_by_revenue", + "v3.total_quantity", + "v3.total_revenue", + "v3.total_unit_price", + "v3.trailing_7d_revenue", + "v3.trailing_wow_revenue_change", + "v3.visitor_count", + "v3.wow_order_growth", + "v3.wow_revenue_change", + # New v3 window and derived metrics + "v3.aov_growth_index", + "v3.efficiency_ratio", + "v3.wow_aov_change", + } + + +class TestNodeCRUD: + """ + Test node CRUD + """ + + @pytest.fixture + def create_dimension_node_payload(self) -> Dict[str, Any]: + """ + Payload for creating a dimension node. + NOTE: Uses unique name to avoid conflicts with template database. + """ + + return { + "description": "Country dimension", + "query": "SELECT country, COUNT(1) AS user_cnt " + "FROM testcrud.source.users GROUP BY country", + "mode": "published", + "name": "testcrud.countries", + "primary_key": ["country"], + } + + @pytest.fixture + def create_invalid_transform_node_payload(self) -> Dict[str, Any]: + """ + Payload for creating a transform node. + """ + + return { + "name": "default.country_agg", + "query": "SELECT country, COUNT(DISTINCT id) AS num_users FROM comments", + "mode": "published", + "description": "Distinct users per country", + "columns": [ + {"name": "country", "type": "string"}, + {"name": "num_users", "type": "int"}, + ], + } + + @pytest.fixture + def create_transform_node_payload(self) -> Dict[str, Any]: + """ + Payload for creating a transform node. + """ + + return { + "name": "default.country_agg", + "query": "SELECT country, COUNT(DISTINCT id) AS num_users FROM basic.source.users", + "mode": "published", + "description": "Distinct users per country", + "columns": [ + {"name": "country", "type": "string"}, + {"name": "num_users", "type": "int"}, + ], + } + + @pytest_asyncio.fixture + async def catalog(self, session: AsyncSession) -> Catalog: + """ + A database fixture. + """ + + catalog = Catalog(name="prod", uuid=uuid4()) + session.add(catalog) + await session.commit() + return catalog + + @pytest_asyncio.fixture + async def source_node(self, session: AsyncSession, current_user: User) -> Node: + """ + A source node fixture. + NOTE: Uses a unique name to avoid conflicts with template database nodes. + """ + node = Node( + name="testcrud.source.users", + type=NodeType.SOURCE, + current_version="v1", + created_by_id=current_user.id, + ) + node_revision = NodeRevision( + node=node, + name=node.name, + catalog_id=1, + type=node.type, + version="v1", + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="full_name", type=StringType(), order=1), + Column(name="age", type=IntegerType(), order=2), + Column(name="country", type=StringType(), order=3), + Column(name="gender", type=StringType(), order=4), + Column(name="preferred_language", type=StringType(), order=5), + ], + created_by_id=current_user.id, + ) + session.add(node_revision) + await session.commit() + return node + + @pytest.mark.asyncio + async def test_create_dimension_without_catalog( + self, + client_with_roads: AsyncClient, + ): + """ + Test that creating a dimension that's purely query-based and therefore + doesn't reference a catalog works. + """ + response = await client_with_roads.post( + "/nodes/dimension/", + json={ + "description": "Title", + "query": ( + "SELECT 0 AS title_code, 'Agha' AS Title " + "UNION ALL SELECT 1, 'Abbot' " + "UNION ALL SELECT 2, 'Akhoond' " + "UNION ALL SELECT 3, 'Apostle'" + ), + "mode": "published", + "name": "default.title", + "primary_key": ["title"], + }, + ) + assert response.json()["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Title Code", + "name": "title_code", + "type": "int", + "partition": None, + }, + { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Title", + "name": "title", + "type": "string", + "partition": None, + }, + ] + + # Link the dimension to a column on the source node + response = await client_with_roads.post( + "/nodes/default.hard_hats/columns/title/" + "?dimension=default.title&dimension_column=title", + ) + assert response.status_code in (200, 201) + response = await client_with_roads.get("/nodes/default.hard_hats/") + assert { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Title", + "name": "title", + "type": "string", + "partition": None, + } in response.json()["columns"] + + assert response.json()["dimension_links"] == [ + { + "dimension": {"name": "default.title"}, + "foreign_keys": {"default.hard_hats.title": "default.title.title"}, + "join_cardinality": "many_to_one", + "join_sql": "default.hard_hats.title = default.title.title", + "join_type": "left", + "role": None, + }, + ] + + @pytest.mark.asyncio + async def test_deleting_node( + self, + client_with_basic: AsyncClient, + ): + """ + Test deleting a node + """ + # Delete a node + response = await client_with_basic.delete("/nodes/basic.source.users/") + assert response.status_code == 200 + # Check that then retrieving the node returns an error + response = await client_with_basic.get("/nodes/basic.source.users/") + assert response.status_code >= 400 + assert response.json() == { + "message": "A node with name `basic.source.users` does not exist.", + "errors": [], + "warnings": [], + } + # All downstream nodes should be invalid + expected_downstreams = [ + "basic.dimension.users", + "basic.transform.country_agg", + "basic.dimension.countries", + "basic.num_users", + ] + for downstream in expected_downstreams: + response = await client_with_basic.get(f"/nodes/{downstream}/") + assert response.json()["status"] == NodeStatus.INVALID + + # The downstreams' status change should be recorded in their histories + response = await client_with_basic.get(f"/history?node={downstream}") + assert [ + (activity["pre"], activity["post"], activity["details"]) + for activity in response.json() + if activity["activity_type"] == "status_change" + ] == [ + ( + {"status": "valid"}, + {"status": "invalid"}, + {"upstream_node": "basic.source.users"}, + ), + ] + + # Trying to create the node again should work. + response = await client_with_basic.post( + "/nodes/source/", + json={ + "name": "basic.source.users", + "description": "A user table", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "full_name", "type": "string"}, + {"name": "age", "type": "int"}, + {"name": "country", "type": "string"}, + {"name": "gender", "type": "string"}, + {"name": "preferred_language", "type": "string"}, + {"name": "secret_number", "type": "float"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "public", + "schema_": "basic", + "table": "dim_users", + }, + ) + assert response.status_code in (200, 201) + + # The deletion action should be recorded in the node's history + response = await client_with_basic.get("/history?node=basic.source.users") + history = response.json() + assert history == [ + { + "id": mock.ANY, + "entity_type": "node", + "entity_name": "basic.source.users", + "node": "basic.source.users", + "activity_type": "restore", + "user": "dj", + "pre": {}, + "post": {}, + "details": {}, + "created_at": mock.ANY, + }, + { + "id": mock.ANY, + "entity_type": "node", + "entity_name": "basic.source.users", + "node": "basic.source.users", + "activity_type": "update", + "user": "dj", + "pre": {}, + "post": {}, + "details": {"version": "v2.0"}, + "created_at": mock.ANY, + }, + { + "activity_type": "delete", + "node": "basic.source.users", + "created_at": mock.ANY, + "details": {}, + "entity_name": "basic.source.users", + "entity_type": "node", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + { + "activity_type": "create", + "node": "basic.source.users", + "created_at": mock.ANY, + "details": {}, + "entity_name": "basic.source.users", + "entity_type": "node", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + ] + + @pytest.mark.asyncio + async def test_deleting_source_upstream_from_metric( + self, + client: AsyncClient, + ): + """ + Test deleting a source that's upstream from a metric. + NOTE: Uses unique namespace to avoid conflicts with template database. + """ + response = await client.post("/catalogs/", json={"name": "warehouse"}) + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post("/namespaces/testdelsrc/") + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post( + "/nodes/source/", + json={ + "name": "testdelsrc.users", + "description": "A user table", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "full_name", "type": "string"}, + {"name": "age", "type": "int"}, + {"name": "country", "type": "string"}, + {"name": "gender", "type": "string"}, + {"name": "preferred_language", "type": "string"}, + {"name": "secret_number", "type": "float"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "warehouse", + "schema_": "db", + "table": "users", + }, + ) + assert response.status_code in (200, 201) + response = await client.post( + "/nodes/metric/", + json={ + "description": "Total number of users", + "query": "SELECT COUNT(DISTINCT id) FROM testdelsrc.users", + "mode": "published", + "name": "testdelsrc.num_users", + }, + ) + assert response.status_code in (200, 201) + # Delete the source node + response = await client.delete("/nodes/testdelsrc.users/") + assert response.status_code in (200, 201) + # The downstream metric should have an invalid status + assert (await client.get("/nodes/testdelsrc.num_users/")).json()[ + "status" + ] == NodeStatus.INVALID + response = await client.get("/history?node=testdelsrc.num_users") + assert [ + (activity["pre"], activity["post"], activity["details"]) + for activity in response.json() + if activity["activity_type"] == "status_change" + ] == [ + ( + {"status": "valid"}, + {"status": "invalid"}, + {"upstream_node": "testdelsrc.users"}, + ), + ] + + # Restore the source node + response = await client.post("/nodes/testdelsrc.users/restore/") + assert response.status_code in (200, 201) + # Retrieving the restored node should work + response = await client.get("/nodes/testdelsrc.users/") + assert response.status_code in (200, 201) + # The downstream metric should have been changed to valid + response = await client.get("/nodes/testdelsrc.num_users/") + assert response.json()["status"] == NodeStatus.VALID + # Check activity history of downstream metric + response = await client.get("/history?node=testdelsrc.num_users") + assert [ + (activity["pre"], activity["post"], activity["details"]) + for activity in response.json() + if activity["activity_type"] == "status_change" + ] == [ + ( + {"status": "invalid"}, + {"status": "valid"}, + {"upstream_node": "testdelsrc.users"}, + ), + ( + {"status": "valid"}, + {"status": "invalid"}, + {"upstream_node": "testdelsrc.users"}, + ), + ] + + @pytest.mark.asyncio + async def test_deleting_transform_upstream_from_metric( + self, + client: AsyncClient, + ): + """ + Test deleting a transform that's upstream from a metric. + NOTE: Uses unique namespace to avoid conflicts with template database. + """ + response = await client.post("/catalogs/", json={"name": "warehouse"}) + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post("/namespaces/testdeltr/") + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post( + "/nodes/source/", + json={ + "name": "testdeltr.users", + "description": "A user table", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "full_name", "type": "string"}, + {"name": "age", "type": "int"}, + {"name": "country", "type": "string"}, + {"name": "gender", "type": "string"}, + {"name": "preferred_language", "type": "string"}, + {"name": "secret_number", "type": "float"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "warehouse", + "schema_": "db", + "table": "users", + }, + ) + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post( + "/nodes/transform/", + json={ + "name": "testdeltr.us_users", + "description": "US users", + "query": """ + SELECT + id, + full_name, + age, + country, + gender, + preferred_language, + secret_number, + created_at, + post_processing_timestamp + FROM testdeltr.users + WHERE country = 'US' + """, + "mode": "published", + }, + ) + assert response.status_code in (200, 201) + response = await client.post( + "/nodes/metric/", + json={ + "description": "Total number of US users", + "query": "SELECT COUNT(DISTINCT id) FROM testdeltr.us_users", + "mode": "published", + "name": "testdeltr.num_us_users", + }, + ) + assert response.status_code in (200, 201) + # Create an invalid draft downstream node + # so we can test that it stays invalid + # when the upstream node is restored + response = await client.post( + "/nodes/metric/", + json={ + "description": "An invalid node downstream of testdeltr.us_users", + "query": "SELECT COUNT(DISTINCT non_existent_column) FROM testdeltr.us_users", + "mode": "draft", + "name": "testdeltr.invalid_metric", + }, + ) + assert response.status_code in (200, 201) + response = await client.get("/nodes/testdeltr.invalid_metric/") + assert response.status_code in (200, 201) + assert response.json()["status"] == NodeStatus.INVALID + # Delete the transform node + response = await client.delete("/nodes/testdeltr.us_users/") + assert response.status_code in (200, 201) + # Retrieving the deleted node should respond that the node doesn't exist + assert (await client.get("/nodes/testdeltr.us_users/")).json()["message"] == ( + "A node with name `testdeltr.us_users` does not exist." + ) + # The downstream metrics should have an invalid status + assert (await client.get("/nodes/testdeltr.num_us_users/")).json()[ + "status" + ] == NodeStatus.INVALID + assert (await client.get("/nodes/testdeltr.invalid_metric/")).json()[ + "status" + ] == NodeStatus.INVALID + + # Check history of downstream metrics + response = await client.get("/history?node=testdeltr.num_us_users") + assert [ + (activity["pre"], activity["post"], activity["details"]) + for activity in response.json() + if activity["activity_type"] == "status_change" + ] == [ + ( + {"status": "valid"}, + {"status": "invalid"}, + {"upstream_node": "testdeltr.us_users"}, + ), + ] + # No change recorded here because the metric was already invalid + response = await client.get("/history?node=testdeltr.invalid_metric") + assert [ + (activity["pre"], activity["post"]) + for activity in response.json() + if activity["activity_type"] == "status_change" + ] == [] + + # Restore the transform node + response = await client.post("/nodes/testdeltr.us_users/restore/") + assert response.status_code in (200, 201) + # Retrieving the restored node should work + response = await client.get("/nodes/testdeltr.us_users/") + assert response.status_code in (200, 201) + # Check history of the restored node + response = await client.get("/history?node=testdeltr.us_users") + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [("restore", "node"), ("delete", "node"), ("create", "node")] + + # This downstream metric should have been changed to valid + response = await client.get("/nodes/testdeltr.num_us_users/") + assert response.json()["status"] == NodeStatus.VALID + # Check history of downstream metric + response = await client.get("/history?node=testdeltr.num_us_users") + assert [ + (activity["pre"], activity["post"], activity["details"]) + for activity in response.json() + if activity["activity_type"] == "status_change" + ] == [ + ( + {"status": "invalid"}, + {"status": "valid"}, + {"upstream_node": "testdeltr.us_users"}, + ), + ( + {"status": "valid"}, + {"status": "invalid"}, + {"upstream_node": "testdeltr.us_users"}, + ), + ] + + # The other downstream metric should have remained invalid + response = await client.get("/nodes/testdeltr.invalid_metric/") + assert response.json()["status"] == NodeStatus.INVALID + # Check history of downstream metric + response = await client.get("/history?node=testdeltr.invalid_metric") + assert [ + (activity["pre"], activity["post"]) + for activity in response.json() + if activity["activity_type"] == "status_change" + ] == [] + + @pytest.mark.asyncio + async def test_deleting_linked_dimension( + self, + client: AsyncClient, + ): + """ + Test deleting a dimension that's linked to columns on other nodes + """ + response = await client.post("/catalogs/", json={"name": "warehouse"}) + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post("/namespaces/testdld/") + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post( + "/nodes/source/", + json={ + "name": "testdld.users", + "description": "A user table", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "full_name", "type": "string"}, + {"name": "age", "type": "int"}, + {"name": "country", "type": "string"}, + {"name": "gender", "type": "string"}, + {"name": "preferred_language", "type": "string"}, + {"name": "secret_number", "type": "float"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "warehouse", + "schema_": "db", + "table": "users", + }, + ) + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post( + "/nodes/dimension/", + json={ + "name": "testdld.us_users", + "description": "US users", + "query": """ + SELECT + id, + full_name, + age, + country, + gender, + preferred_language, + secret_number, + created_at, + post_processing_timestamp + FROM testdld.users + WHERE country = 'US' + """, + "primary_key": ["id"], + "mode": "published", + }, + ) + assert response.status_code in (200, 201) + response = await client.post( + "/nodes/source/", + json={ + "name": "testdld.messages", + "description": "A table of user messages", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "user_id", "type": "int"}, + {"name": "message", "type": "int"}, + {"name": "posted_at", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "warehouse", + "schema_": "db", + "table": "messages", + }, + ) + assert response.status_code in (200, 201) + # Create a metric on the source node + response = await client.post( + "/nodes/metric/", + json={ + "description": "Total number of user messages", + "query": "SELECT COUNT(DISTINCT id) FROM testdld.messages", + "mode": "published", + "name": "testdld.num_messages", + }, + ) + assert response.status_code in (200, 201) + + # Create a metric on the source node w/ bound dimensions + response = await client.post( + "/nodes/metric/", + json={ + "description": "Total number of user messages by id", + "query": "SELECT COUNT(DISTINCT id) FROM testdld.messages", + "mode": "published", + "name": "testdld.num_messages_id", + "required_dimensions": ["user_id"], + }, + ) + assert response.status_code in (200, 201) + + # Create a metric w/ bound dimensions that to not exist + with pytest.raises(Exception) as exc: + response = await client.post( + "/nodes/metric/", + json={ + "description": "Total number of user messages by id", + "query": "SELECT COUNT(DISTINCT id) FROM testdld.messages", + "mode": "published", + "name": "testdld.num_messages_id", + "required_dimensions": ["testdld.nothin.id"], + }, + ) + assert "required dimensions that are not on parent nodes" in str(exc) + + # Create a metric on the source node w/ an invalid bound dimension + response = await client.post( + "/nodes/metric/", + json={ + "description": "Total number of user messages by id", + "query": "SELECT COUNT(DISTINCT id) FROM testdld.messages", + "mode": "published", + "name": "testdld.num_messages_id_invalid_dimension", + "required_dimensions": ["testdld.messages.foo"], + }, + ) + assert response.status_code == 400 + assert response.json() == { + "message": "Node definition contains references to " + "columns as required dimensions that are not on parent nodes.", + "errors": [ + { + "code": 206, + "message": "Node definition contains references to columns " + "as required dimensions that are not on parent nodes.", + "debug": {"invalid_required_dimensions": ["testdld.messages.foo"]}, + "context": "", + }, + ], + "warnings": [], + } + + # Link the dimension to a column on the source node + response = await client.post( + "/nodes/testdld.messages/columns/user_id/" + "?dimension=testdld.us_users&dimension_column=id", + ) + assert response.status_code in (200, 201) + # The dimension's attributes should now be available to the metric + response = await client.get("/metrics/testdld.num_messages/") + assert response.status_code in (200, 201) + assert response.json()["dimensions"] == [ + { + "name": "testdld.us_users.age", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.country", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.created_at", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "timestamp", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.full_name", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.gender", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.id", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "int", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "testdld.us_users.post_processing_timestamp", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "timestamp", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.preferred_language", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.secret_number", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "float", + "filter_only": False, + "properties": [], + }, + ] + + # Check history of the node with column dimension link + response = await client.get( + "/history?node=testdld.messages", + ) + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [("create", "link"), ("create", "node")] + + # Delete the dimension node + response = await client.delete("/nodes/testdld.us_users/") + assert response.status_code in (200, 201) + # Retrieving the deleted node should respond that the node doesn't exist + assert (await client.get("/nodes/testdld.us_users/")).json()["message"] == ( + "A node with name `testdld.us_users` does not exist." + ) + # The deleted dimension's attributes should no longer be available to the metric + response = await client.get("/metrics/testdld.num_messages/") + assert response.status_code in (200, 201) + assert [] == response.json()["dimensions"] + # The metric should still be VALID + response = await client.get("/nodes/testdld.num_messages/") + assert response.json()["status"] == NodeStatus.VALID + # Restore the dimension node + response = await client.post("/nodes/testdld.us_users/restore/") + assert response.status_code in (200, 201) + # Retrieving the restored node should work + response = await client.get("/nodes/testdld.us_users/") + assert response.status_code in (200, 201) + # The dimension's attributes should now once again show for the linked metric + response = await client.get("/metrics/testdld.num_messages/") + assert response.status_code in (200, 201) + assert response.json()["dimensions"] == [ + { + "name": "testdld.us_users.age", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "int", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.country", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.created_at", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "timestamp", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.full_name", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.gender", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.id", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "int", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "testdld.us_users.post_processing_timestamp", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "timestamp", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.preferred_language", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "string", + "filter_only": False, + "properties": [], + }, + { + "name": "testdld.us_users.secret_number", + "node_display_name": "Us Users", + "node_name": "testdld.us_users", + "path": ["testdld.messages"], + "type": "float", + "filter_only": False, + "properties": [], + }, + ] + # The metric should still be VALID + response = await client.get("/nodes/testdld.num_messages/") + assert response.json()["status"] == NodeStatus.VALID + + @pytest.mark.asyncio + async def test_restoring_an_already_active_node( + self, + client: AsyncClient, + ): + """ + Test raising when restoring an already active node + """ + response = await client.post("/catalogs/", json={"name": "warehouse"}) + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post("/namespaces/default/") + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post( + "/nodes/source/", + json={ + "name": "default.users", + "description": "A user table", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "full_name", "type": "string"}, + {"name": "age", "type": "int"}, + {"name": "country", "type": "string"}, + {"name": "gender", "type": "string"}, + {"name": "preferred_language", "type": "string"}, + {"name": "secret_number", "type": "float"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "warehouse", + "schema_": "db", + "table": "users", + }, + ) + assert response.status_code in (200, 201, 409) # May already exist in template + response = await client.post("/nodes/default.users/restore/") + assert response.status_code == 400 + assert response.json() == { + "message": "Cannot restore `default.users`, node already active.", + "errors": [], + "warnings": [], + } + + @pytest.mark.asyncio + async def test_restore_node_with_downstream_cube( + self, + client_with_roads: AsyncClient, + ): + """ + Test restoring a node that has a downstream cube. + This tests the fix for the greenlet_spawn async lazy-loading issue + when accessing cube_element.node_revision during node restoration. + """ + # Create a cube that depends on some metrics and dimensions + response = await client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders", "default.avg_repair_price"], + "dimensions": [ + "default.hard_hat.country", + "default.dispatcher.company_name", + ], + "description": "Cube for testing restore", + "mode": "published", + "name": "default.test_restore_cube", + }, + ) + assert response.status_code == 201 + + # Verify the cube is valid + response = await client_with_roads.get("/nodes/default.test_restore_cube/") + assert response.json()["status"] == NodeStatus.VALID + + # Deactivate a node that's upstream of the cube's metrics + # (repair_orders_fact is upstream of num_repair_orders and avg_repair_price) + response = await client_with_roads.delete("/nodes/default.repair_orders_fact/") + assert response.status_code == 200 + + # Verify the cube became invalid + response = await client_with_roads.get("/nodes/default.test_restore_cube/") + assert response.json()["status"] == NodeStatus.INVALID + + # Restore the upstream node - this is where the greenlet_spawn bug would occur + response = await client_with_roads.post( + "/nodes/default.repair_orders_fact/restore/", + ) + assert response.status_code in (200, 201) + + # Verify the cube is valid again after restore + response = await client_with_roads.get("/nodes/default.test_restore_cube/") + assert response.json()["status"] == NodeStatus.VALID + + # Clean up + response = await client_with_roads.delete("/nodes/default.test_restore_cube/") + assert response.status_code == 200 + + async def verify_complete_hard_delete( + self, + session: AsyncSession, + client_with_roads: AsyncClient, + node_name: str, + ): + """ + Verify that after hard deleting a node, all node revisions and node relationship + references are removed. + """ + # Record its upstream nodes + upstream_names = [ + node.name for node in await get_upstream_nodes(session, node_name=node_name) + ] + + # Hard delete the node + response = await client_with_roads.delete(f"/nodes/{node_name}/hard/") + assert response.status_code in (200, 201) + + # Check that all revisions (and their relations) for the node have been deleted + nodes = ( + (await session.execute(select(Node).where(Node.name == node_name))) + .unique() + .scalars() + .all() + ) + revisions = ( + ( + await session.execute( + select(NodeRevision).where(NodeRevision.name == node_name), + ) + ) + .unique() + .scalars() + .all() + ) + relations = ( + ( + await session.execute( + select(NodeRelationship).where( + NodeRelationship.child_id.in_( # type: ignore + [rev.id for rev in revisions], + ), + ), + ) + ) + .unique() + .scalars() + .all() + ) + assert nodes == [] + assert revisions == [] + assert relations == [] + + # Check that upstreams and downstreams of the node still remain + upstreams = ( + ( + await session.execute( + select(Node).where( + Node.name.in_(upstream_names), # type: ignore + ), + ) + ) + .unique() + .scalars() + .all() + ) + assert len(upstreams) == len(upstream_names) + + @pytest.mark.asyncio + async def test_hard_deleting_node_with_versions( + self, + client_with_roads: AsyncClient, + session: AsyncSession, + ): + """ + Test that hard deleting a node will remove all previous node revisions. + + Tests representative nodes of each type to verify hard delete works correctly: + - Source: default.dispatchers + - Transform: default.regional_level_agg + - Dimension with versions: default.repair_order (has 3 versions after patches) + - Metric: default.num_repair_orders + """ + # Create a few revisions for the `default.repair_order` dimension + await client_with_roads.patch( + "/nodes/default.repair_order/", + json={"query": """SELECT repair_order_id FROM default.repair_orders"""}, + ) + await client_with_roads.patch( + "/nodes/default.repair_order/", + json={ + "query": """SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM default.repair_orders""", + }, + ) + response = await client_with_roads.get("/nodes/default.repair_order") + assert response.json()["version"] == "v3.0" + + # Test representative nodes of each type instead of all nodes + # This covers the key scenarios while reducing test time from ~24s to ~5s + representative_nodes = [ + "default.dispatchers", # source (no downstream deps) + "default.regional_level_agg", # transform + "default.repair_order", # dimension with multiple versions + "default.num_repair_orders", # metric + ] + + # Hard delete representative nodes and verify after each delete + for node_name in representative_nodes: + await self.verify_complete_hard_delete( + session, + client_with_roads, + node_name, + ) + + # Check that the representative nodes and their revisions have been deleted + for node_name in representative_nodes: + nodes = ( + (await session.execute(select(Node).where(Node.name == node_name))) + .unique() + .scalars() + .all() + ) + assert len(nodes) == 0, f"Node {node_name} should have been deleted" + + revisions = ( + ( + await session.execute( + select(NodeRevision).where( + NodeRevision.name == node_name, + ), + ) + ) + .unique() + .scalars() + .all() + ) + assert len(revisions) == 0, ( + f"Revisions for {node_name} should have been deleted" + ) + + @pytest.mark.asyncio + async def test_hard_deleting_a_node( + self, + client_with_roads: AsyncClient, + ): + """ + Test raising when restoring an already active node + """ + # Hard deleting a source node causes downstream nodes to become invalid + response = await client_with_roads.delete("/nodes/default.repair_orders/hard/") + assert response.status_code in (200, 201) + data = response.json() + data["impact"] = sorted(data["impact"], key=lambda x: x["name"]) + assert data == { + "impact": [ + { + "effect": "downstream node is now invalid", + "name": "default.avg_repair_order_discounts", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.avg_repair_price", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.avg_time_to_dispatch", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.discounted_orders_rate", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.num_repair_orders", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.num_unique_hard_hats_approx", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.regional_level_agg", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.regional_repair_efficiency", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.repair_order", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.repair_orders_fact", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.total_repair_cost", + "status": "invalid", + }, + { + "effect": "downstream node is now invalid", + "name": "default.total_repair_order_discounts", + "status": "invalid", + }, + ], + "message": "The node `default.repair_orders` has been completely removed.", + } + + # Hard deleting a dimension creates broken links + response = await client_with_roads.delete("/nodes/default.repair_order/hard/") + assert response.status_code in (200, 201) + data = response.json() + assert sorted(data["impact"], key=lambda x: x["name"]) == sorted( + [ + { + "effect": "broken link", + "name": "default.repair_order_details", + "status": "valid", + }, + ], + key=lambda x: x["name"], + ) + assert ( + data["message"] + == "The node `default.repair_order` has been completely removed." + ) + + # Hard deleting an unlinked node has no impact + response = await client_with_roads.delete( + "/nodes/default.regional_repair_efficiency/hard/", + ) + assert response.status_code in (200, 201) + assert response.json() == { + "message": "The node `default.regional_repair_efficiency` has been completely removed.", + "impact": [], + } + + # Hard delete a metric + response = await client_with_roads.delete( + "/nodes/default.avg_repair_order_discounts/hard/", + ) + assert response.status_code in (200, 201) + assert response.json() == { + "message": "The node `default.avg_repair_order_discounts` has been completely removed.", + "impact": [], + } + + @pytest.mark.asyncio + async def test_register_table_without_query_service( + self, + client: AsyncClient, + ): + """ + Trying to register a table without a query service set up should fail. + """ + response = await client.post("/register/table/foo/bar/baz/") + data = response.json() + assert data["message"] == ( + "Registering tables or views requires that a query " + "service is configured for columns inference" + ) + assert response.status_code == 500 + + @pytest.mark.asyncio + async def test_register_view_without_query_service( + self, + client: AsyncClient, + ): + """ + Trying to register a view without a query service set up should fail. + """ + response = await client.post( + "/register/view/foo/bar/baz/?query=SELECT+1&replace=True", + ) + data = response.json() + assert data["message"] == ( + "Registering tables or views requires that a query " + "service is configured for columns inference" + ) + assert response.status_code == 500 + + @pytest.mark.asyncio + async def test_register_view_with_query_service( + self, + module__client_with_basic, + ): + """ + Registering a view with a query service set up should succeed. + """ + await module__client_with_basic.get("/catalogs") + response = await module__client_with_basic.post( + "/register/view/public/main/view_foo?query=SELECT+1+AS+one+,+'two'+AS+two", + ) + data = response.json() + assert data["name"] == "source.public.main.view_foo" + assert data["type"] == "source" + assert data["display_name"] == "source.public.main.view_foo" + assert data["version"] == "v1.0" + assert data["status"] == "valid" + assert data["mode"] == "published" + assert data["catalog"]["name"] == "public" + assert data["schema_"] == "main" + assert data["table"] == "view_foo" + assert data["columns"] == [ + { + "name": "one", + "type": "int", + "display_name": "One", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "two", + "type": "string", + "display_name": "Two", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + ] + assert response.status_code == 201 + + @pytest.mark.asyncio + async def test_create_source_node_with_query_service( + self, + module__client_with_basic, + ): + """ + Creating a source node without columns but with a query service set should + result in the source node columns being inferred via the query service. + """ + response = await module__client_with_basic.post( + "/register/table/public/basic/comments/", + ) + data = response.json() + assert data["name"] == "source.public.basic.comments" + assert data["type"] == "source" + assert data["display_name"] == "source.public.basic.comments" + assert data["version"] == "v1.0" + assert data["status"] == "valid" + assert data["mode"] == "published" + assert data["catalog"]["name"] == "public" + assert data["schema_"] == "basic" + assert data["table"] == "comments" + assert data["owners"] == [{"username": "dj"}] + assert data["columns"] == [ + { + "name": "id", + "type": "int", + "display_name": "Id", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "user_id", + "type": "int", + "display_name": "User Id", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "timestamp", + "type": "timestamp", + "display_name": "Timestamp", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "text", + "type": "string", + "display_name": "Text", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + ] + assert response.status_code == 201 + + response = await module__client_with_basic.post( + "/register/table/public/basic/comments/?source_node_namespace=default", + ) + data = response.json() + assert data["name"] == "default.public.basic.comments" + + @pytest.mark.asyncio + async def test_refresh_source_node( + self, + module__client_with_roads, + ): + """ + Refresh a source node with a query service + """ + custom_client = module__client_with_roads + response = await custom_client.post( + "/nodes/default.repair_orders/refresh/", + ) + data = response.json() + + # Columns have changed, so the new node revision should be bumped to a new + # version with an additional `ratings` column. Existing dimension links remain + new_columns = [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Repair Order Id", + "name": "repair_order_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Municipality Id", + "name": "municipality_id", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Hard Hat Id", + "name": "hard_hat_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Order Date", + "name": "order_date", + "type": "timestamp", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Required Date", + "name": "required_date", + "type": "timestamp", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Dispatched Date", + "name": "dispatched_date", + "type": "timestamp", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Dispatcher Id", + "name": "dispatcher_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Rating", + "name": "rating", + "type": "int", + "partition": None, + }, + ] + + assert data["version"] == "v2.0" + assert data["columns"] == new_columns + assert response.status_code == 201 + + response = await custom_client.get("/history?node=default.repair_orders") + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [ + ("refresh", "node"), + ("create", "link"), + ("create", "link"), + ("create", "node"), + ] + + # Refresh it again, but this time no columns will have changed so + # verify that the node revision stays the same + response = await custom_client.post( + "/nodes/default.repair_orders/refresh/", + ) + data_second = response.json() + assert data_second["version"] == "v2.0" + assert data_second["node_revision_id"] == data["node_revision_id"] + assert data_second["columns"] == new_columns + + # The refreshed source node should retain the existing dimension links + response = await custom_client.get("/nodes/default.repair_orders") + assert response.json()["dimension_links"] == [ + { + "dimension": {"name": "default.repair_order"}, + "foreign_keys": { + "default.repair_orders.repair_order_id": "default.repair_order.repair_order_id", + }, + "join_cardinality": "many_to_one", + "join_sql": "default.repair_orders.repair_order_id = " + "default.repair_order.repair_order_id", + "join_type": "inner", + "role": None, + }, + { + "dimension": {"name": "default.dispatcher"}, + "foreign_keys": { + "default.repair_orders.dispatcher_id": "default.dispatcher.dispatcher_id", + }, + "join_cardinality": "many_to_one", + "join_sql": "default.repair_orders.dispatcher_id = " + "default.dispatcher.dispatcher_id", + "join_type": "inner", + "role": None, + }, + ] + + @pytest.mark.asyncio + async def test_refresh_source_node_with_problems( + self, + module__client_with_roads, + module__query_service_client: QueryServiceClient, + mocker: MockerFixture, + ): + """ + Refresh a source node with a query service and find that no columns are returned. + """ + response = await module__client_with_roads.post( + "/nodes/default.repair_orders/refresh/", + ) + data = response.json() + + the_good_columns = module__query_service_client.get_columns_for_table( + "default", + "roads", + "repair_orders", + request_headers={}, + ) + + # Columns have changed, so the new node revision should be bumped to a new version + assert data["version"] == "v2.0" + assert len(data["columns"]) == 8 + assert response.status_code == 201 + assert data["status"] == "valid" + assert data["missing_table"] is False + + response = await module__client_with_roads.get( + "/history?node=default.repair_orders", + ) + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [ + ("refresh", "node"), + ("create", "link"), + ("create", "link"), + ("create", "node"), + ] + + # Refresh it again, but this time no columns are found + mocker.patch.object( + module__query_service_client, + "get_columns_for_table", + lambda *args: [], + ) + response = await module__client_with_roads.post( + "/nodes/default.repair_orders/refresh/", + ) + data_new = response.json() + assert data_new["version"] == "v3.0" + assert data_new["node_revision_id"] != data["node_revision_id"] + assert len(data_new["columns"]) == 8 + assert data_new["status"] == "valid" + assert data_new["missing_table"] is True + + # Refresh it again, but this time the table is missing + data = data_new + mocker.patch.object( + module__query_service_client, + "get_columns_for_table", + lambda *args: (_ for _ in ()).throw( + DJDoesNotExistException(message="Table not found: foo.bar.baz"), + ), + ) + response = await module__client_with_roads.post( + "/nodes/default.repair_orders/refresh/", + ) + data_new = response.json() + assert data_new["version"] == "v3.0" + assert data_new["node_revision_id"] == data["node_revision_id"] + assert len(data_new["columns"]) == 8 + assert data_new["status"] == "valid" + assert data_new["missing_table"] is True + + # Refresh it again, table is still missing + data = data_new + response = await module__client_with_roads.post( + "/nodes/default.repair_orders/refresh/", + ) + data_new = response.json() + assert data_new["version"] == "v3.0" + assert data_new["node_revision_id"] == data["node_revision_id"] + assert len(data_new["columns"]) == 8 + assert data_new["status"] == "valid" + assert data_new["missing_table"] is True + + # Refresh it again, back to normal state + data = data_new + mocker.patch.object( + module__query_service_client, + "get_columns_for_table", + lambda *args: the_good_columns, + ) + response = await module__client_with_roads.post( + "/nodes/default.repair_orders/refresh/", + ) + data_new = response.json() + assert data_new["version"] == "v4.0" + assert data_new["node_revision_id"] != data["node_revision_id"] + assert len(data_new["columns"]) == 8 + assert data_new["status"] == "valid" + assert data_new["missing_table"] is False + + @pytest.mark.asyncio + async def test_refresh_source_node_with_query( + self, + module__client_with_roads, + ): + """ + Refresh a source node based on a view. + """ + custom_client = module__client_with_roads + response = await custom_client.post( + "/nodes/default.repair_orders_view/refresh/", + ) + data = response.json() + + # Columns have changed, so the new node revision should be bumped to a new + # version with an additional `ratings` column. Existing dimension links remain + new_columns = [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Repair Order Id", + "name": "repair_order_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Municipality Id", + "name": "municipality_id", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Hard Hat Id", + "name": "hard_hat_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Order Date", + "name": "order_date", + "type": "timestamp", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Required Date", + "name": "required_date", + "type": "timestamp", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Dispatched Date", + "name": "dispatched_date", + "type": "timestamp", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Dispatcher Id", + "name": "dispatcher_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Rating", + "name": "rating", + "type": "int", + "partition": None, + }, + ] + + assert data["version"] == "v2.0" + assert data["columns"] == new_columns + assert response.status_code == 201 + + response = await custom_client.get("/history?node=default.repair_orders_view") + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [ + ("refresh", "node"), + ("create", "node"), + ] + + @pytest.mark.asyncio + async def test_create_update_source_node( + self, + client_with_basic: AsyncClient, + ) -> None: + """ + Test creating and updating a source node + """ + basic_source_comments = { + "name": "basic.source.comments", + "description": "A fact table with comments", + "columns": [ + {"name": "id", "type": "int"}, + { + "name": "user_id", + "type": "int", + "dimension": "basic.dimension.users", + }, + {"name": "timestamp", "type": "timestamp"}, + {"name": "text", "type": "string"}, + ], + "mode": "published", + "catalog": "public", + "schema_": "basic", + "table": "comments", + } + + # Trying to create it again should fail + response = await client_with_basic.post( + "/nodes/source/", + json=basic_source_comments, + ) + data = response.json() + assert ( + data["message"] + == "A node with name `basic.source.comments` already exists." + ) + assert response.status_code == 409 + + # Update node with a new description should create a new revision + response = await client_with_basic.patch( + f"/nodes/{basic_source_comments['name']}/", + json={ + "description": "New description", + "display_name": "Comments facts", + }, + ) + data = response.json() + + assert data["name"] == "basic.source.comments" + assert data["display_name"] == "Comments facts" + assert data["type"] == "source" + assert data["version"] == "v1.1" + assert data["description"] == "New description" + + # Try to update node with no changes + response = await client_with_basic.patch( + f"/nodes/{basic_source_comments['name']}/", + json={"description": "New description", "display_name": "Comments facts"}, + ) + new_data = response.json() + assert data == new_data + + # Try to update a node with a table that has different columns + response = await client_with_basic.patch( + f"/nodes/{basic_source_comments['name']}/", + json={ + "columns": [ + {"name": "id", "type": "int"}, + { + "name": "user_id", + "type": "int", + "dimension": "basic.dimension.users", + }, + {"name": "timestamp", "type": "timestamp"}, + {"name": "text_v2", "type": "string"}, + ], + }, + ) + data = response.json() + assert data["version"] == "v2.0" + assert data["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Id", + "name": "id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": "basic.dimension.users", + "display_name": "User Id", + "name": "user_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Timestamp", + "name": "timestamp", + "type": "timestamp", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Text V2", + "name": "text_v2", + "type": "string", + "partition": None, + }, + ] + + @pytest.mark.asyncio + async def test_update_nonexistent_node( + self, + client: AsyncClient, + ) -> None: + """ + Test updating a non-existent node. + """ + response = await client.patch( + "/nodes/something/", + json={"description": "new"}, + ) + data = response.json() + assert response.status_code == 404 + assert data["message"] == "A node with name `something` does not exist." + + @pytest.mark.asyncio + async def test_update_node_with_deactivated_children( + self, + client_with_roads: AsyncClient, + ) -> None: + """ + Test updating a node with deactivated children + """ + # Test updating a transform with a deactivated downstream cube + response = await client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders", "default.avg_repair_price"], + "dimensions": [ + "default.hard_hat.country", + "default.dispatcher.company_name", + ], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + }, + ) + assert response.status_code == 201 + response = await client_with_roads.delete( + "/nodes/default.repairs_cube/", + ) + assert response.status_code == 200 + + # Check upstreams for a downstream metric + response = await client_with_roads.get( + "/nodes/default.num_repair_orders/upstream", + ) + upstream_names = [upstream["name"] for upstream in response.json()] + assert "default.repair_orders_fact" in upstream_names + + response = await client_with_roads.patch( + "/nodes/default.repair_orders_fact", + json={ + "query": """SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id + FROM + default.repair_orders repair_orders""", + }, + ) + assert response.status_code == 200 + + # Check upstreams for a downstream metric + response = await client_with_roads.get( + "/nodes/default.num_repair_orders/upstream", + ) + upstream_names = [upstream["name"] for upstream in response.json()] + assert "default.repair_orders_fact" in upstream_names + + # Test updating a transform with a deactivated downstream metric + response = await client_with_roads.delete( + "/nodes/default.num_repair_orders/", + ) + assert response.status_code == 200 + response = await client_with_roads.patch( + "/nodes/default.repair_orders_fact", + json={ + "query": """SELECT + repair_orders.repair_order_id + FROM + default.repair_orders repair_orders""", + }, + ) + assert response.status_code == 200 + + @pytest.mark.asyncio + async def test_raise_on_source_node_with_no_catalog( + self, + client: AsyncClient, + ) -> None: + """ + Test raise on source node with no catalog + """ + response = await client.post( + "/nodes/source/", + json={ + "name": "basic.source.comments", + "description": "A fact table with comments", + "columns": [ + {"name": "id", "type": "int"}, + { + "name": "user_id", + "type": "int", + "dimension": "basic.dimension.users", + }, + {"name": "timestamp", "type": "timestamp"}, + {"name": "text", "type": "string"}, + ], + "mode": "published", + }, + ) + assert response.status_code == 422 + response_data = response.json() + assert "detail" in response_data + + # Check that all required fields are mentioned in validation errors + error_fields = set() + for error in response_data["detail"]: + if "loc" in error and len(error["loc"]) >= 2: + error_fields.add(error["loc"][1]) + + required_fields = {"catalog", "schema_", "table"} + assert required_fields.issubset(error_fields), ( + f"Missing required field errors: {required_fields - error_fields}" + ) + + @pytest.mark.asyncio + async def test_create_invalid_transform_node( + self, + catalog: Catalog, + source_node: Node, + client: AsyncClient, + create_invalid_transform_node_payload: Dict[str, Any], + ) -> None: + """ + Test creating an invalid transform node in draft and published modes. + """ + await client.post("/namespaces/default/") + response = await client.post( + "/nodes/transform/", + json=create_invalid_transform_node_payload, + ) + data = response.json() + assert response.status_code == 400 + assert data["message"].startswith( + "Node definition contains references to nodes that do not exist", + ) + + @pytest.mark.asyncio + async def test_create_node_with_type_inference_failure( + self, + client_with_namespaced_roads: AsyncClient, + ): + """ + Attempting to create a published metric where type inference fails should raise + an appropriate error and fail. + """ + response = await client_with_namespaced_roads.post( + "/nodes/metric/", + json={ + "description": "Average length of employment", + "query": ( + "SELECT avg(NOW() - hire_date + 1) as " + "default_DOT_avg_length_of_employment_plus_one " + "FROM foo.bar.hard_hats" + ), + "mode": "published", + "name": "default.avg_length_of_employment_plus_one", + }, + ) + data = response.json() + assert data == { + "message": ( + "Incompatible types in binary operation NOW() - " + "foo.bar.hard_hats.hire_date + 1. Got left timestamp, right int." + ), + "errors": [ + { + "code": 302, + "message": ( + "Incompatible types in binary operation NOW() - " + "foo.bar.hard_hats.hire_date + 1. Got left timestamp, right int." + ), + "debug": { + "columns": ["default_DOT_avg_length_of_employment_plus_one"], + "errors": [], + }, + "context": "", + }, + ], + "warnings": [], + } + + @pytest.mark.asyncio + async def test_create_update_transform_node( + self, + catalog: Catalog, + source_node: Node, + client: AsyncClient, + create_transform_node_payload: Dict[str, Any], + ) -> None: + """ + Test creating and updating a transform node that references an existing source. + """ + await client.post("/namespaces/default/") + # Create a transform node + response = await client.post( + "/nodes/transform/", + json=create_transform_node_payload, + ) + data = response.json() + assert data["name"] == "default.country_agg" + assert data["display_name"] == "Country Agg" + assert data["type"] == "transform" + assert data["description"] == "Distinct users per country" + assert ( + data["query"] + == "SELECT country, COUNT(DISTINCT id) AS num_users FROM basic.source.users" + ) + assert data["status"] == "valid" + assert data["owners"] == [{"username": "dj"}] + assert data["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Users", + "name": "num_users", + "type": "bigint", + "partition": None, + }, + ] + + assert data["parents"] == [{"name": "basic.source.users"}] + + # Update the transform node with two minor changes + response = await client.patch( + "/nodes/default.country_agg/", + json={ + "description": "Some new description", + "display_name": "Country Aggregation by User", + }, + ) + data = response.json() + assert data["name"] == "default.country_agg" + assert data["display_name"] == "Country Aggregation by User" + assert data["type"] == "transform" + assert data["version"] == "v1.1" + assert data["description"] == "Some new description" + assert ( + data["query"] + == "SELECT country, COUNT(DISTINCT id) AS num_users FROM basic.source.users" + ) + assert data["status"] == "valid" + assert data["parents"] == [{"name": "basic.source.users"}] + + # Try to update with a new query that references a non-existent source + response = await client.patch( + "/nodes/default.country_agg/", + json={ + "query": "SELECT country, COUNT(DISTINCT id) AS num_users FROM comments", + }, + ) + data = response.json() + assert data["message"].startswith( + "Node definition contains references to nodes that do not exist", + ) + + # Try to update with a new query that references an existing source + response = await client.patch( + "/nodes/default.country_agg/", + json={ + "query": "SELECT country, COUNT(DISTINCT id) AS num_users, " + "COUNT(*) AS num_entries FROM basic.source.users", + }, + ) + data = response.json() + assert data["version"] == "v2.0" + assert ( + data["query"] == "SELECT country, COUNT(DISTINCT id) AS num_users, " + "COUNT(*) AS num_entries FROM basic.source.users" + ) + assert data["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Users", + "name": "num_users", + "type": "bigint", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Entries", + "name": "num_entries", + "type": "bigint", + "partition": None, + }, + ] + + assert data["status"] == "valid" + assert data["parents"] == [{"name": "basic.source.users"}] + + # Verify that asking for revisions for a non-existent transform fails + response = await client.get("/nodes/random_transform/revisions/") + data = response.json() + assert data["message"] == "A node with name `random_transform` does not exist." + + # Verify that all historical revisions are available for the node + response = await client.get("/nodes/default.country_agg/revisions/") + data = response.json() + assert {rev["version"]: rev["query"] for rev in data} == { + "v1.0": "SELECT country, COUNT(DISTINCT id) AS num_users FROM basic.source.users", + "v1.1": "SELECT country, COUNT(DISTINCT id) AS num_users FROM basic.source.users", + "v2.0": "SELECT country, COUNT(DISTINCT id) AS num_users, COUNT(*) AS num_entries " + "FROM basic.source.users", + } + assert {rev["version"]: rev["columns"] for rev in data} == { + "v1.0": [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Users", + "name": "num_users", + "type": "bigint", + "partition": None, + }, + ], + "v1.1": [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Users", + "name": "num_users", + "type": "bigint", + "partition": None, + }, + ], + "v2.0": [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Users", + "name": "num_users", + "type": "bigint", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Entries", + "name": "num_entries", + "type": "bigint", + "partition": None, + }, + ], + } + + @pytest.mark.asyncio + async def test_update_metric_node(self, client_with_roads: AsyncClient): + """ + Verify that during metric node updates, if the query changes, DJ will automatically + alias the metric column. If this aliased query is the same as the current revision's + query, DJ won't promote the version. + """ + response = await client_with_roads.patch( + "/nodes/default.total_repair_cost/", + json={ + "query": ( + "SELECT sum(repair_orders_fact.total_repair_cost) " + "FROM default.repair_orders_fact repair_orders_fact" + ), + "metric_metadata": { + "kind": "count", + "direction": "higher_is_better", + "unit": "dollar", + "significant_digits": 6, + "min_decimal_exponent": 2, + }, + }, + ) + node_data = response.json() + assert node_data["query"] == ( + "SELECT sum(repair_orders_fact.total_repair_cost) " + "FROM default.repair_orders_fact repair_orders_fact" + ) + response = await client_with_roads.get("/metrics/default.total_repair_cost") + metric_data = response.json() + assert metric_data["metric_metadata"] == { + "direction": "higher_is_better", + "unit": { + "abbreviation": "$", + "category": "currency", + "description": None, + "label": "Dollar", + "name": "dollar", + }, + "significant_digits": 6, + "min_decimal_exponent": 2, + "max_decimal_exponent": None, + } + + response = await client_with_roads.get("/nodes/default.total_repair_cost") + assert response.json()["version"] == "v2.0" + + response = await client_with_roads.patch( + "/nodes/default.total_repair_cost/", + json={ + "query": "SELECT count(price) FROM default.repair_order_details", + "required_dimensions": ["repair_order_id"], + }, + ) + node_data = response.json() + assert node_data["query"] == ( + "SELECT count(price) FROM default.repair_order_details" + ) + response = await client_with_roads.get("/nodes/default.total_repair_cost") + data = response.json() + assert data["version"] == "v3.0" + response = await client_with_roads.get("/metrics/default.total_repair_cost") + data = response.json() + assert data["required_dimensions"] == ["repair_order_id"] + + @pytest.mark.asyncio + async def test_create_dimension_node_fails( + self, + catalog: Catalog, + source_node: Node, + client: AsyncClient, + ): + """ + Test various failure cases for dimension node creation. + NOTE: Uses unique names to avoid conflicts with template database. + """ + await client.post("/namespaces/testcrud/") + response = await client.post( + "/nodes/dimension/", + json={ + "description": "Country dimension", + "query": "SELECT country, COUNT(1) AS user_cnt " + "FROM testcrud.source.users GROUP BY country", + "mode": "published", + "name": "testcrud.countries_nopk", + }, + ) + assert ( + response.json()["message"] == "Dimension nodes must define a primary key!" + ) + + response = await client.post( + "/nodes/dimension/", + json={ + "description": "Country dimension", + "query": "SELECT country, COUNT(1) AS user_cnt " + "FROM testcrud.source.users GROUP BY country", + "mode": "published", + "name": "testcrud.countries_invalid_pk", + "primary_key": ["country", "id"], + }, + ) + assert response.json()["message"] == ( + "Some columns in the primary key [country,id] were not " + "found in the list of available columns for the node " + "testcrud.countries_invalid_pk." + ) + + @pytest.mark.asyncio + async def test_create_update_dimension_node( + self, + catalog: Catalog, + source_node: Node, + client: AsyncClient, + create_dimension_node_payload: Dict[str, Any], + ) -> None: + """ + Test creating and updating a dimension node that references an existing source. + """ + await client.post("/namespaces/testcrud/") + response = await client.post( + "/nodes/dimension/", + json=create_dimension_node_payload, + ) + data = response.json() + + assert response.status_code == 201 + assert data["name"] == "testcrud.countries" + assert data["display_name"] == "Countries" + assert data["type"] == "dimension" + assert data["version"] == "v1.0" + assert data["description"] == "Country dimension" + assert ( + data["query"] == "SELECT country, COUNT(1) AS user_cnt " + "FROM testcrud.source.users GROUP BY country" + ) + assert data["columns"] == [ + { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "User Cnt", + "name": "user_cnt", + "type": "bigint", + "partition": None, + }, + ] + + # Test updating the dimension node with a new query + response = await client.patch( + "/nodes/testcrud.countries/", + json={ + "query": "SELECT country FROM testcrud.source.users GROUP BY country", + }, + ) + data = response.json() + # Should result in a major version update due to the query change + assert data["version"] == "v2.0" + + # The columns should have been updated + assert data["columns"] == [ + { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + ] + + # Test updating the dimension node with a new primary key + response = await client.patch( + "/nodes/testcrud.countries/", + json={ + "query": "SELECT country, SUM(age) as sum_age, count(1) AS num_users " + "FROM testcrud.source.users GROUP BY country", + "primary_key": ["sum_age"], + }, + ) + data = response.json() + # Should result in a major version update + assert data["version"] == "v3.0" + assert data["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Sum Age", + "name": "sum_age", + "type": "bigint", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Users", + "name": "num_users", + "type": "bigint", + "partition": None, + }, + ] + + response = await client.patch( + "/nodes/testcrud.countries/", + json={ + "primary_key": ["country"], + }, + ) + data = response.json() + assert data["columns"] == [ + { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Sum Age", + "name": "sum_age", + "type": "bigint", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Num Users", + "name": "num_users", + "type": "bigint", + "partition": None, + }, + ] + + @pytest.mark.asyncio + async def test_raise_on_multi_catalog_node(self, client_example_loader): + """ + Test raising when trying to select from multiple catalogs + """ + custom_client = await client_example_loader(["BASIC", "ACCOUNT_REVENUE"]) + response = await custom_client.post( + "/nodes/transform/", + json={ + "query": ( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue r LEFT JOIN basic.source.comments b on r.id = b.id" + ), + "description": "Multicatalog", + "mode": "published", + "name": "default.multicatalog", + }, + ) + assert ( + "Cannot create nodes with multi-catalog dependencies" + in response.json()["message"] + ) + + @pytest.mark.asyncio + async def test_updating_node_to_invalid_draft( + self, + catalog: Catalog, + source_node: Node, + client: AsyncClient, + create_dimension_node_payload: Dict[str, Any], + ) -> None: + """ + Test creating an invalid node in draft mode + """ + await client.post("/namespaces/testcrud/") + response = await client.post( + "/nodes/dimension/", + json=create_dimension_node_payload, + ) + data = response.json() + + assert response.status_code == 201 + assert data["name"] == "testcrud.countries" + assert data["display_name"] == "Countries" + assert data["type"] == "dimension" + assert data["version"] == "v1.0" + assert data["description"] == "Country dimension" + assert ( + data["query"] == "SELECT country, COUNT(1) AS user_cnt " + "FROM testcrud.source.users GROUP BY country" + ) + assert data["columns"] == [ + { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "User Cnt", + "name": "user_cnt", + "type": "bigint", + "partition": None, + }, + ] + + response = await client.patch( + "/nodes/testcrud.countries/", + json={"mode": "draft"}, + ) + assert response.status_code == 200 + + # Test updating the dimension node with an invalid query + response = await client.patch( + "/nodes/testcrud.countries/", + json={"query": "SELECT country FROM missing_parent GROUP BY country"}, + ) + assert response.status_code == 200 + + # Check that node is now a draft with an invalid status + response = await client.get("/nodes/testcrud.countries") + assert response.status_code == 200 + data = response.json() + assert data["mode"] == "draft" + assert data["status"] == "invalid" + + @pytest.mark.asyncio + async def test_upsert_materialization_config( + self, + client_with_query_service_example_loader, + ) -> None: + """ + Test creating & updating materialization config for a node. + """ + custom_client = await client_with_query_service_example_loader(["BASIC"]) + # Setting the materialization config for a source node should fail + response = await custom_client.post( + "/nodes/basic.source.comments/materialization/", + json={ + "job": "spark_sql", + "schedule": "0 * * * *", + "config": {}, + "strategy": "full", + }, + ) + assert response.status_code == 400 + assert ( + response.json()["message"] + == "Cannot set materialization config for source node `basic.source.comments`!" + ) + + # Setting the materialization config for a materialization job type that + # doesn't exist should fail + response = await custom_client.post( + "/nodes/basic.transform.country_agg/materialization/", + json={ + "job": "something", + "strategy": "full", + "config": {}, + "schedule": "0 * * * *", + }, + ) + assert response.status_code == 422 + + @pytest.mark.asyncio + async def test_node_with_struct( + self, + session: AsyncSession, + client_with_roads: AsyncClient, + ): + """ + Test that building a query string with structs yields a correctly formatted struct + reference. + """ + response = await client_with_roads.post( + "/nodes/transform/", + json={ + "description": "Regional level agg with structs", + "query": """SELECT + usr.us_region_id, + us.state_name, + CONCAT(us.state_name, '-', usr.us_region_description) AS location_hierarchy, + EXTRACT(YEAR FROM ro.order_date) AS order_year, + EXTRACT(MONTH FROM ro.order_date) AS order_month, + EXTRACT(DAY FROM ro.order_date) AS order_day, + STRUCT( + COUNT(DISTINCT CASE WHEN ro.dispatched_date IS NOT NULL THEN ro.repair_order_id ELSE NULL END) AS completed_repairs, + COUNT(DISTINCT ro.repair_order_id) AS total_repairs_dispatched, + SUM(rd.price * rd.quantity) AS total_amount_in_region, + AVG(rd.price * rd.quantity) AS avg_repair_amount_in_region, + AVG(DATEDIFF(ro.dispatched_date, ro.order_date)) AS avg_dispatch_delay, + COUNT(DISTINCT c.contractor_id) AS unique_contractors + ) AS measures +FROM default.repair_orders ro +JOIN + default.municipality m ON ro.municipality_id = m.municipality_id +JOIN + default.us_states us ON m.state_id = us.state_id +JOIN + default.us_states us ON m.state_id = us.state_id +JOIN + default.us_region usr ON us.state_region = usr.us_region_id +JOIN + default.repair_order_details rd ON ro.repair_order_id = rd.repair_order_id +JOIN + default.repair_type rt ON rd.repair_type_id = rt.repair_type_id +JOIN + default.contractors c ON rt.contractor_id = c.contractor_id +GROUP BY + usr.us_region_id, + EXTRACT(YEAR FROM ro.order_date), + EXTRACT(MONTH FROM ro.order_date), + EXTRACT(DAY FROM ro.order_date)""", + "mode": "published", + "name": "default.regional_level_agg_structs", + "primary_key": [ + "us_region_id", + "state_name", + "order_year", + "order_month", + "order_day", + ], + }, + ) + assert { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "name": "measures", + "type": "struct", + "display_name": "Measures", + "partition": None, + } in response.json()["columns"] + + await client_with_roads.post( + "/nodes/transform/", + json={ + "description": "Total Repair Amounts during the COVID-19 Pandemic", + "name": "default.total_amount_in_region_from_struct_transform", + "query": "SELECT location_hierarchy, SUM(IF(order_year = 2020, " + "measures.total_amount_in_region, 0)) " + "col0 FROM default.regional_level_agg_structs", + "mode": "published", + }, + ) + response = await client_with_roads.get( + "/sql/default.total_amount_in_region_from_struct_transform?filters=" + "&dimensions=location_hierarchy", + ) + expected = """ + WITH default_DOT_regional_level_agg_structs AS ( + SELECT usr.us_region_id, + us.state_name, + CONCAT(us.state_name, '-', usr.us_region_description) AS location_hierarchy, + EXTRACT(YEAR, ro.order_date) AS order_year, + EXTRACT(MONTH, ro.order_date) AS order_month, + EXTRACT(DAY, ro.order_date) AS order_day, + struct(COUNT( DISTINCT CASE + WHEN ro.dispatched_date IS NOT NULL THEN ro.repair_order_id + ELSE NULL + END) AS completed_repairs, COUNT( DISTINCT ro.repair_order_id) AS total_repairs_dispatched, SUM(rd.price * rd.quantity) AS total_amount_in_region, AVG(rd.price * rd.quantity) AS avg_repair_amount_in_region, AVG(DATEDIFF(ro.dispatched_date, ro.order_date)) AS avg_dispatch_delay, COUNT( DISTINCT c.contractor_id) AS unique_contractors) AS measures + FROM roads.repair_orders AS ro JOIN roads.municipality AS m ON ro.municipality_id = m.municipality_id + JOIN roads.us_states AS us ON m.state_id = us.state_id + JOIN roads.us_states AS us ON m.state_id = us.state_id + JOIN roads.us_region AS usr ON us.state_region = usr.us_region_id + JOIN roads.repair_order_details AS rd ON ro.repair_order_id = rd.repair_order_id + JOIN roads.repair_type AS rt ON rd.repair_type_id = rt.repair_type_id + JOIN roads.contractors AS c ON rt.contractor_id = c.contractor_id + GROUP BY usr.us_region_id, EXTRACT(YEAR, ro.order_date), EXTRACT(MONTH, ro.order_date), EXTRACT(DAY, ro.order_date) + ), + default_DOT_total_amount_in_region_from_struct_transform AS ( + SELECT default_DOT_regional_level_agg_structs.location_hierarchy, + SUM(IF(default_DOT_regional_level_agg_structs.order_year = 2020, default_DOT_regional_level_agg_structs.measures.total_amount_in_region, 0)) col0 + FROM default_DOT_regional_level_agg_structs + ) + SELECT default_DOT_total_amount_in_region_from_struct_transform.location_hierarchy default_DOT_total_amount_in_region_from_struct_transform_DOT_location_hierarchy, + default_DOT_total_amount_in_region_from_struct_transform.col0 default_DOT_total_amount_in_region_from_struct_transform_DOT_col0 + FROM default_DOT_total_amount_in_region_from_struct_transform + """ + assert str(parse(response.json()["sql"])) == str(parse(expected)) + + @pytest.mark.asyncio + async def test_node_with_incremental_time_materialization( + self, + client_with_query_service_example_loader, + query_service_client, + ) -> None: + """ + 1. Create a transform node that uses dj_logical_timestamp (i.e., it is + meant to be incrementally materialized). + 2. Create a metric node that references the above transform. + 3. When SQL for the metric is requested without the transform having been materialized, + the request will fail. + """ + custom_client = await client_with_query_service_example_loader(["ROADS"]) + await custom_client.post( + "/nodes/transform/", + json={ + "description": "Repair orders transform (partitioned)", + "query": """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM default.repair_orders + """, + "mode": "published", + "name": "default.repair_orders_partitioned", + "primary_key": ["repair_order_id"], + }, + ) + # Mark one of the columns as a time partition + await custom_client.post( + "/nodes/default.repair_orders_partitioned/columns/dispatched_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + + # Set an incremental time materialization config with a lookback window of 100 days + await custom_client.post( + "/nodes/default.repair_orders_partitioned/materialization/", + json={ + "job": "spark_sql", + "strategy": "incremental_time", + "config": { + "lookback_window": "100 DAYS", + }, + "schedule": "0 * * * *", + }, + ) + + args, _ = query_service_client.materialize.call_args_list[0] # type: ignore + format_regex = r"\${(?P[^}]+)}" + match = re.search(format_regex, args[0].query) + assert match and match.group("capture") == "dj_logical_timestamp" + query = re.sub(format_regex, "DJ_LOGICAL_TIMESTAMP()", args[0].query) + expected_query = """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM ( + SELECT + default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM roads.repair_orders AS default_DOT_repair_orders + ) AS default_DOT_repair_orders_partitioned + WHERE + dispatched_date BETWEEN CAST( + DATE_FORMAT( + CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP) - INTERVAL 100 DAYS, 'yyyyMMdd' + ) AS TIMESTAMP + ) + AND CAST( + DATE_FORMAT( + CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP), + 'yyyyMMdd' + ) AS TIMESTAMP + ) + """ + compare_query_strings(query, expected_query) + + # Set an incremental time materialization config without a lookback window + # (defaults to 1 day) + await custom_client.post( + "/nodes/default.repair_orders_partitioned/materialization/", + json={ + "job": "spark_sql", + "strategy": "incremental_time", + "config": {}, + "schedule": "0 * * * *", + }, + ) + + args, _ = query_service_client.materialize.call_args_list[0] # type: ignore + match = re.search(format_regex, args[0].query) + assert match and match.group("capture") == "dj_logical_timestamp" + query = re.sub(format_regex, "DJ_LOGICAL_TIMESTAMP()", args[0].query) + expected_query = """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM ( + SELECT + default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM roads.repair_orders AS default_DOT_repair_orders + ) AS default_DOT_repair_orders_partitioned + WHERE dispatched_date = CAST( + DATE_FORMAT( + CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP), + 'yyyyMMdd' + ) AS TIMESTAMP + ) + """ + compare_query_strings(query, expected_query) + + @pytest.mark.asyncio + async def test_node_with_dj_logical_timestamp( + self, + client_with_query_service_example_loader, + ) -> None: + """ + 1. Create a transform node that uses dj_logical_timestamp (i.e., it is + meant to be incrementally materialized). + 2. Create a metric node that references the above transform. + 3. When SQL for the metric is requested without the transform having been materialized, + the request will fail. + """ + custom_client = await client_with_query_service_example_loader(["ROADS"]) + await custom_client.post( + "/nodes/transform/", + json={ + "description": "Repair orders transform (partitioned)", + "query": """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id, + dj_logical_timestamp('%Y%m%d') as date_partition + FROM default.repair_orders + WHERE date_format(order_date, 'yyyyMMdd') = dj_logical_timestamp('%Y%m%d') + """, + "mode": "published", + "name": "default.repair_orders_partitioned", + "primary_key": ["repair_order_id"], + }, + ) + await custom_client.post( + "/nodes/default.repair_orders_partitioned/columns/hard_hat_id/" + "?dimension=default.hard_hat&dimension_column=hard_hat_id", + ) + + await custom_client.post( + "/nodes/metric/", + json={ + "description": "Number of repair orders", + "query": "SELECT count(repair_order_id) FROM default.repair_orders_partitioned", + "mode": "published", + "name": "default.num_repair_orders_partitioned", + }, + ) + response = await custom_client.get( + "/sql?metrics=default.num_repair_orders_partitioned" + "&dimensions=default.hard_hat.last_name", + ) + format_regex = r"\${(?P[^}]+)}" + + result_sql = response.json()["sql"] + match = re.search(format_regex, result_sql) + assert match and match.group("capture") == "dj_logical_timestamp" + query = re.sub(format_regex, "FORMATTED", result_sql) + compare_query_strings( + query, + """WITH +m0_default_DOT_num_repair_orders_partitioned AS (SELECT default_DOT_hard_hat.last_name, + count(default_DOT_repair_orders_partitioned.repair_order_id) + default_DOT_num_repair_orders_partitioned + FROM (SELECT FORMATTED AS date_partition, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.required_date + FROM roads.repair_orders AS default_DOT_repair_orders + WHERE date_format(default_DOT_repair_orders.order_date, 'yyyyMMdd') = FORMATTED) + AS default_DOT_repair_orders_partitioned LEFT JOIN + (SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.state + FROM roads.hard_hats AS default_DOT_hard_hats) + AS default_DOT_hard_hat ON + default_DOT_repair_orders_partitioned.hard_hat_id = default_DOT_hard_hat.hard_hat_id + GROUP BY default_DOT_hard_hat.last_name +) + +SELECT m0_default_DOT_num_repair_orders_partitioned.default_DOT_num_repair_orders_partitioned, + m0_default_DOT_num_repair_orders_partitioned.last_name + FROM m0_default_DOT_num_repair_orders_partitioned""", + ) + + await custom_client.post( + "/engines/", + json={ + "name": "spark", + "version": "2.4.4", + "dialect": "spark", + }, + ) + + # Setting the materialization config should succeed + response = await custom_client.post( + "/nodes/default.repair_orders_partitioned/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": { + "partitions": [], + }, + "schedule": "0 * * * *", + }, + ) + data = response.json() + assert ( + data["message"] == "Successfully updated materialization config named " + "`spark_sql__full` for node `default.repair_orders_partitioned`" + ) + + response = await custom_client.get( + "/nodes/default.repair_orders_partitioned", + ) + result_sql = response.json()["materializations"][0]["config"]["query"] + match = re.search(format_regex, result_sql) + assert match and match.group("capture") == "dj_logical_timestamp" + query = re.sub(format_regex, "FORMATTED", result_sql) + compare_query_strings( + query, + "SELECT FORMATTED AS date_partition,\n\t" + "default_DOT_repair_orders.dispatched_date,\n\t" + "default_DOT_repair_orders.dispatcher_id,\n\t" + "default_DOT_repair_orders.hard_hat_id,\n\t" + "default_DOT_repair_orders.municipality_id,\n\t" + "default_DOT_repair_orders.order_date,\n\t" + "default_DOT_repair_orders.repair_order_id,\n\t" + "default_DOT_repair_orders.required_date \n" + " FROM roads.repair_orders AS " + "default_DOT_repair_orders \n" + " WHERE " + "date_format(default_DOT_repair_orders.order_date, " + "'yyyyMMdd') = FORMATTED\n\n", + ) + + @pytest.mark.asyncio + async def test_update_node_query_with_materializations( + self, + client_with_query_service_example_loader, + ): + """ + Testing updating a node's query when the node already has materializations. The node's + materializations should be updated based on the new query and rescheduled. + """ + custom_client = await client_with_query_service_example_loader(["BASIC"]) + await custom_client.post( + "/engines/", + json={ + "name": "spark", + "version": "2.4.4", + "dialect": "spark", + }, + ) + + await custom_client.post( + "/nodes/basic.transform.country_agg/materialization/", + json={ + "job": "spark_sql", + "strategy": "full", + "config": { + "spark": {}, + }, + "schedule": "0 * * * *", + }, + ) + await custom_client.patch( + "/nodes/basic.transform.country_agg/", + json={ + "query": ( + "SELECT country, COUNT(DISTINCT id) AS num_users, " + "COUNT(DISTINCT preferred_language) AS languages " + "FROM basic.source.users GROUP BY 1" + ), + }, + ) + response = await custom_client.get("/nodes/basic.transform.country_agg") + assert response.json()["version"] == "v2.0" + response = await custom_client.get("/nodes/basic.transform.country_agg/") + node_output = response.json() + assert node_output["materializations"] == [ + { + "backfills": [], + "config": { + "columns": [ + { + "column": None, + "name": "country", + "node": None, + "semantic_entity": None, + "semantic_type": None, + "type": "string", + }, + { + "column": None, + "name": "num_users", + "node": None, + "semantic_entity": None, + "semantic_type": None, + "type": "bigint", + }, + { + "column": None, + "name": "languages", + "node": None, + "semantic_entity": None, + "semantic_type": None, + "type": "bigint", + }, + ], + "lookback_window": None, + "query": mock.ANY, + "spark": {}, + "upstream_tables": ["public.basic.dim_users"], + }, + "deactivated_at": None, + "strategy": "full", + "job": "SparkSqlMaterializationJob", + "name": "spark_sql__full", + "schedule": "0 * * * *", + "node_revision_id": mock.ANY, + }, + ] + + @pytest.mark.asyncio + async def test_update_column_display_name(self, client_with_roads: AsyncClient): + """ + Test that updating a column display name works. + """ + response = await client_with_roads.patch( + url="/nodes/default.hard_hat/columns/hard_hat_id", + params={"display_name": "test"}, + ) + assert response.status_code == 201 + assert response.json() == { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "test", + "name": "hard_hat_id", + "type": "int", + "partition": None, + } + + @pytest.mark.asyncio + async def test_update_column_description(self, client_with_roads: AsyncClient): + """ + Test that updating a column description works. + """ + response = await client_with_roads.patch( + url="/nodes/default.hard_hat/columns/hard_hat_id/description", + params={"description": "test description"}, + ) + assert response.status_code == 201 + assert response.json() == { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": "test description", + "dimension": None, + "dimension_column": None, + "display_name": "Hard Hat Id", + "name": "hard_hat_id", + "type": "int", + "partition": None, + } + + @pytest.mark.asyncio + async def test_backfill_failures(self, client_with_query_service): + """Run backfill failure modes""" + + # Kick off backfill for non-existent materalization + response = await client_with_query_service.post( + "/nodes/default.hard_hat/materializations/non_existent/backfill", + json=[ + { + "column_name": "birth_date", + "range": ["20230101", "20230201"], + }, + ], + ) + assert ( + response.json()["message"] + == "Materialization with name non_existent not found" + ) + + +class TestNodeColumnsAttributes: + """ + Test ``POST /nodes/{name}/attributes/``. + """ + + @pytest.fixture + def create_source_node_payload(self) -> Dict[str, Any]: + """ + Payload for creating a source node. + """ + + return { + "name": "comments", + "description": "A fact table with comments", + "type": "source", + "columns": [ + {"name": "id", "type": "int"}, + { + "name": "user_id", + "type": "int", + "dimension": "basic.dimension.users", + }, + {"name": "event_timestamp", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + {"name": "text", "type": "string"}, + ], + "mode": "published", + } + + @pytest_asyncio.fixture + async def catalog(self, session: AsyncSession) -> Catalog: + """ + A catalog fixture. + """ + + catalog = Catalog(name="postgres", uuid=uuid4()) + session.add(catalog) + await session.commit() + return catalog + + @pytest_asyncio.fixture + async def source_node(self, session: AsyncSession) -> Node: + """ + A source node fixture. + NOTE: Uses a unique name to avoid conflicts with template database nodes. + """ + node = Node( + name="testvalidate.source.users", + type=NodeType.SOURCE, + current_version="1", + ) + node_revision = NodeRevision( + node=node, + name=node.name, + type=node.type, + version="1", + columns=[ + Column(name="id", type=IntegerType()), + Column(name="created_at", type=TimestampType()), + Column(name="full_name", type=StringType()), + Column(name="age", type=IntegerType()), + Column(name="country", type=StringType()), + Column(name="gender", type=StringType()), + Column(name="preferred_language", type=StringType()), + ], + ) + session.add(node_revision) + await session.commit() + return node + + async def set_id_primary_key(self, client_with_basic: AsyncClient): + """ + Helper function to set id as primary key on basic.dimension.users + """ + response = await client_with_basic.post( + "/nodes/basic.dimension.users/columns/id/attributes/", + json=[ + { + "namespace": "system", + "name": "primary_key", + }, + ], + ) + data = response.json() + assert data == [ + { + "name": "id", + "type": "int", + "display_name": "Id", + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + ] + + @pytest.mark.asyncio + async def test_set_column_attributes( + self, + client_with_basic: AsyncClient, + ): + """ + Validate that setting column attributes on the node works. + """ + # Set id as primary key + await self.set_id_primary_key(client_with_basic) + + # Can set again (idempotent) + await self.set_id_primary_key(client_with_basic) + + # Set column attributes + response = await client_with_basic.post( + "/nodes/basic.dimension.users/columns/id/attributes/", + json=[ + { + "namespace": "system", + "name": "primary_key", + }, + ], + ) + data = response.json() + assert data == [ + { + "name": "id", + "type": "int", + "display_name": "Id", + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + ] + + # Remove primary key attribute from column + response = await client_with_basic.post( + "/nodes/basic.source.comments/columns/id/attributes", + json=[], + ) + data = response.json() + assert data == [ + { + "name": "id", + "type": "int", + "display_name": "Id", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + ] + + @pytest.mark.asyncio + async def test_set_column_hidden( + self, + client_with_basic: AsyncClient, + ): + """ + Test setting columns with the `hidden` attribute. + """ + response = await client_with_basic.post( + "/nodes/basic.dimension.users/columns/secret_number/attributes/", + json=[{"namespace": "system", "name": "hidden"}], + ) + data = response.json() + assert data == [ + { + "name": "secret_number", + "type": "float", + "display_name": "Secret Number", + "attributes": [ + {"attribute_type": {"name": "hidden", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + ] + response = await client_with_basic.get( + "/nodes/basic.dimension.users/dimensions", + ) + column_attributes = {col["name"]: col["properties"] for col in response.json()} + assert column_attributes == { + "basic.dimension.users.age": [], + "basic.dimension.users.country": [], + "basic.dimension.users.created_at": [], + "basic.dimension.users.full_name": [], + "basic.dimension.users.gender": [], + "basic.dimension.users.id": ["primary_key"], + "basic.dimension.users.post_processing_timestamp": [], + "basic.dimension.users.preferred_language": [], + "basic.dimension.users.secret_number": ["hidden"], + } + + @pytest.mark.asyncio + async def test_set_columns_attributes_failed(self, client_with_basic: AsyncClient): + """ + Test setting column attributes with different failure modes. + """ + response = await client_with_basic.post( + "/nodes/basic.dimension.users/columns/created_at/attributes/", + json=[ + { + "namespace": "system", + "name": "dimension", + }, + ], + ) + data = response.json() + assert response.status_code == 422 + assert ( + data["message"] + == "Attribute type `system.dimension` not allowed on node type `dimension`!" + ) + + await client_with_basic.get( + "/nodes/basic.source.comments/", + ) + + response = await client_with_basic.post( + "/nodes/basic.source.comments/columns/nonexistent_col/attributes/", + json=[ + { + "name": "primary_key", + }, + ], + ) + assert response.status_code == 404 + data = response.json() + assert data == { + "message": "Column `nonexistent_col` does not exist on node `basic.source.comments`!", + "errors": [], + "warnings": [], + } + + response = await client_with_basic.post( + "/nodes/basic.source.comments/columns/id/attributes/", + json=[ + { + "name": "nonexistent_attribute", + }, + ], + ) + assert response.status_code == 404 + data = response.json() + assert data == { + "message": "Attribute type `system.nonexistent_attribute` does not exist!", + "errors": [], + "warnings": [], + } + + response = await client_with_basic.post( + "/nodes/basic.source.comments/columns/user_id/attributes/", + json=[ + { + "name": "primary_key", + }, + ], + ) + assert response.status_code == 201 + data = response.json() + assert [col for col in data if col["attributes"]] == [ + { + "name": "user_id", + "type": "int", + "display_name": "User Id", + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": {"name": "basic.dimension.users"}, + "dimension_column": None, + "partition": None, + }, + ] + + response = await client_with_basic.post( + "/attributes/", + json={ + "namespace": "example", + "name": "event_time", + "description": "Points to a column which represents the time of the event in a " + "given fact related node. Used to facilitate proper joins with dimension node " + "to match the desired effect.", + "allowed_node_types": ["source", "transform"], + "uniqueness_scope": ["node", "column_type"], + }, + ) + data = response.json() + + await client_with_basic.post( + "/nodes/basic.source.comments/columns/event_timestamp/attributes/", + json=[ + { + "namespace": "example", + "name": "event_time", + }, + ], + ) + + response = await client_with_basic.post( + "/nodes/basic.source.comments/columns/post_processing_timestamp/attributes/", + json=[ + { + "namespace": "example", + "name": "event_time", + }, + ], + ) + data = response.json() + assert data == { + "message": "The column attribute `event_time` is scoped to be unique to the " + "`['node', 'column_type']` level, but there is more than one column" + " tagged with it: `event_timestamp, post_processing_timestamp`", + "errors": [], + "warnings": [], + } + + await client_with_basic.post( + "/nodes/basic.source.comments/columns/event_timestamp/attributes/", + json=[], + ) + + response = await client_with_basic.get("/nodes/basic.source.comments/") + data = response.json() + assert data["columns"] == [ + { + "name": "id", + "type": "int", + "display_name": "Id", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "user_id", + "type": "int", + "display_name": "User Id", + "attributes": [ + {"attribute_type": {"namespace": "system", "name": "primary_key"}}, + ], + "dimension": {"name": "basic.dimension.users"}, + "dimension_column": None, + "description": None, + "partition": None, + }, + { + "name": "timestamp", + "type": "timestamp", + "display_name": "Timestamp", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "text", + "type": "string", + "display_name": "Text", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "event_timestamp", + "type": "timestamp", + "display_name": "Event Timestamp", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "created_at", + "type": "timestamp", + "display_name": "Created At", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + { + "name": "post_processing_timestamp", + "type": "timestamp", + "display_name": "Post Processing Timestamp", + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "partition": None, + }, + ] + + +class TestValidateNodes: + """ + Test ``POST /nodes/validate/``. + """ + + @pytest.mark.asyncio + async def test_validating_a_valid_node( + self, + client_with_account_revenue: AsyncClient, + ) -> None: + """ + Test validating a valid node + """ + response = await client_with_account_revenue.post( + "/nodes/validate/", + json={ + "name": "foo", + "description": "This is my foo transform node!", + "query": "SELECT payment_id FROM default.large_revenue_payments_only", + "type": "transform", + }, + ) + data = response.json() + + assert response.status_code == 200 + assert len(data) == 6 + assert data["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Payment Id", + "name": "payment_id", + "partition": None, + "type": "int", + }, + ] + assert data["status"] == "valid" + assert data["dependencies"][0]["name"] == "default.large_revenue_payments_only" + assert data["message"] == "Node `foo` is valid." + assert data["missing_parents"] == [] + assert data["errors"] == [] + + @pytest.mark.asyncio + async def test_validating_an_invalid_node(self, client: AsyncClient) -> None: + """ + Test validating an invalid node + """ + + response = await client.post( + "/nodes/validate/", + json={ + "name": "foo", + "description": "This is my foo transform node!", + "query": "SELECT bar FROM large_revenue_payments_only", + "type": "transform", + }, + ) + data = response.json() + assert data["message"] == "Node `foo` is invalid." + assert [ + e + for e in data["errors"] + if e + == { + "code": 301, + "message": "Node definition contains references to nodes that do not exist: " + "large_revenue_payments_only", + "debug": {"missing_parents": ["large_revenue_payments_only"]}, + "context": "", + } + ] + + @pytest.mark.asyncio + async def test_validating_invalid_sql(self, client: AsyncClient) -> None: + """ + Test validating an invalid node with invalid SQL + """ + + response = await client.post( + "/nodes/validate/", + json={ + "name": "foo", + "description": "This is my foo transform node!", + "query": "SUPER invalid SQL query", + "type": "transform", + }, + ) + data = response.json() + + assert response.status_code == 422 + assert data["message"] == "Node `foo` is invalid." + assert data["status"] == "invalid" + assert data["errors"] == [ + { + "code": 201, + "message": ( + "Error parsing SQL `SUPER invalid SQL query`: " + "('Parse error 1:0:', \"mismatched input 'SUPER' expecting " + "{'(', 'ADD', 'ALTER', 'ANALYZE', 'CACHE', 'CLEAR', 'COMMENT', " + "'COMMIT', 'CREATE', 'DELETE', 'DESC', 'DESCRIBE', 'DFS', 'DROP', " + "'EXPLAIN', 'EXPORT', 'FROM', 'GRANT', 'IMPORT', 'INSERT', " + "'LIST', 'LOAD', 'LOCK', 'MAP', 'MERGE', 'MSCK', 'REDUCE', " + "'REFRESH', 'REPAIR', 'REPLACE', 'RESET', 'REVOKE', 'ROLLBACK', " + "'SELECT', 'SET', 'SHOW', 'START', 'TABLE', 'TRUNCATE', 'UNCACHE', " + "'UNLOCK', 'UPDATE', 'USE', 'VALUES', 'WITH'}\")" + ), + "debug": None, + "context": "", + }, + ] + + @pytest.mark.asyncio + async def test_validating_with_missing_parents(self, client: AsyncClient) -> None: + """ + Test validating a node with a query that has missing parents + """ + + response = await client.post( + "/nodes/validate/", + json={ + "name": "foo", + "description": "This is my foo transform node!", + "query": "SELECT 1 FROM node_that_does_not_exist", + "type": "transform", + }, + ) + data = response.json() + + assert response.status_code == 422 + assert data == { + "message": "Node `foo` is invalid.", + "status": "invalid", + "dependencies": [], + "missing_parents": ["node_that_does_not_exist"], + "columns": [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Col0", + "name": "col0", + "partition": None, + "type": "int", + }, + ], + "errors": [ + { + "code": 301, + "message": "Node definition contains references to nodes that do not exist: " + "node_that_does_not_exist", + "debug": {"missing_parents": ["node_that_does_not_exist"]}, + "context": "", + }, + ], + } + + @pytest.mark.asyncio + async def test_allowing_missing_parents_for_draft_nodes( + self, + client: AsyncClient, + ) -> None: + """ + Test validating a draft node that's allowed to have missing parents + """ + + response = await client.post( + "/nodes/validate/", + json={ + "name": "foo", + "description": "This is my foo transform node!", + "query": "SELECT 1 FROM node_that_does_not_exist", + "type": "transform", + "mode": "draft", + }, + ) + data = response.json() + + assert response.status_code == 422 + assert data["message"] == "Node `foo` is invalid." + assert data["status"] == "invalid" + assert data["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Col0", + "name": "col0", + "partition": None, + "type": "int", + }, + ] + assert data["missing_parents"] == ["node_that_does_not_exist"] + assert data["errors"] == [ + { + "code": 301, + "context": "", + "debug": {"missing_parents": ["node_that_does_not_exist"]}, + "message": "Node definition contains references to nodes that do not exist: " + "node_that_does_not_exist", + }, + ] + + @pytest.mark.asyncio + async def test_raise_when_trying_to_validate_a_source_node( + self, + client: AsyncClient, + ) -> None: + """ + Test validating a source node which is not possible + """ + + response = await client.post( + "/nodes/validate/", + json={ + "name": "foo", + "description": "This is my foo source node!", + "type": "source", + "columns": [ + {"name": "payment_id", "type": "int"}, + {"name": "payment_amount", "type": "float"}, + {"name": "customer_id", "type": "int"}, + {"name": "account_type", "type": "int"}, + ], + "tables": [ + { + "database_id": 1, + "catalog": "test", + "schema": "accounting", + "table": "revenue", + }, + ], + }, + ) + data = response.json() + + assert response.status_code == 422 + assert data == { + "message": "Source nodes cannot be validated", + "errors": [], + "warnings": [], + } + + @pytest.mark.asyncio + async def test_adding_dimensions_to_node_columns( + self, + client_example_loader, + ): + """ + Test linking dimensions to node columns + """ + custom_client = await client_example_loader(["ACCOUNT_REVENUE", "BASIC"]) + # Attach the payment_type dimension to the payment_type column on the revenue node + response = await custom_client.post( + "/nodes/default.revenue/columns/payment_type/?dimension=default.payment_type", + ) + data = response.json() + assert data == { + "message": ( + "Dimension node default.payment_type has been successfully " + "linked to node default.revenue using column payment_type." + ), + } + response = await custom_client.get("/nodes/default.revenue") + data = response.json() + assert [ + col["dimension"]["name"] for col in data["columns"] if col["dimension"] + ] == [] + + # Check that after deleting the dimension link, none of the columns have links + response = await custom_client.delete( + "/nodes/default.revenue/columns/payment_type/?dimension=default.payment_type", + ) + data = response.json() + assert data == { + "message": ( + "Dimension link default.payment_type to node default.revenue has " + "been removed." + ), + } + response = await custom_client.get("/nodes/default.revenue") + data = response.json() + assert data["dimension_links"] == [] + # assert all(col["dimension"] is None for col in data["columns"]) + response = await custom_client.get("/history?node=default.revenue") + assert [ + (activity["activity_type"], activity["entity_type"]) + for activity in response.json() + ] == [("delete", "link"), ("create", "link"), ("create", "node")] + + # Removing the dimension link again will result in no change + response = await custom_client.delete( + "/nodes/default.revenue/columns/payment_type/?dimension=default.payment_type", + ) + data = response.json() + assert response.status_code == 404 + assert data == { + "message": "Dimension link to node default.payment_type not found", + } + # Check history again, no change + response = await custom_client.get("/history?node=default.revenue") + assert [ + (activity["activity_type"], activity["entity_type"]) + for activity in response.json() + ] == [("delete", "link"), ("create", "link"), ("create", "node")] + + # Check that the proper error is raised when the column doesn't exist + response = await custom_client.post( + "/nodes/default.revenue/columns/non_existent_column/?dimension=default.payment_type", + ) + assert response.status_code == 404 + data = response.json() + assert data["message"] == ( + "Column non_existent_column does not exist on node default.revenue" + ) + + # Add a dimension including a specific dimension column name + response = await custom_client.post( + "/nodes/default.revenue/columns/payment_type/" + "?dimension=default.payment_type" + "&dimension_column=payment_type_name", + ) + assert response.status_code == 422 + data = response.json() + assert data["message"] == ( + "The column payment_type has type int and is being linked " + "to the dimension default.payment_type via the dimension column " + "payment_type_name, which has type string. These column " + "types are incompatible and the dimension cannot be linked" + ) + + response = await custom_client.post( + "/nodes/default.revenue/columns/payment_type/?dimension=basic.dimension.users", + ) + data = response.json() + assert data["message"] == ( + "Cannot link dimension to node, because catalogs do not match: basic, public" + ) + + @pytest.mark.asyncio + async def test_update_node_with_dimension_links( + self, + client_with_roads: AsyncClient, + ): + """ + When a node is updated with a new query, the original dimension links and attributes + on its columns should be preserved where possible (that is, where the new and old + columns have the same names). + """ + await client_with_roads.patch( + "/nodes/default.hard_hat/", + json={ + "query": """ + SELECT + hard_hat_id, + title, + state + FROM default.hard_hats + """, + }, + ) + response = await client_with_roads.get("/nodes/default.hard_hat/dimensions") + dimensions = response.json() + assert {dim["name"] for dim in dimensions} == { + "default.hard_hat.hard_hat_id", + "default.hard_hat.state", + "default.hard_hat.title", + "default.us_state.state_id", + "default.us_state.state_name", + "default.us_state.state_region", + "default.us_state.state_short", + } + + response = await client_with_roads.get("/history?node=default.hard_hat") + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [ + ("update", "node"), + ("create", "link"), + ("create", "node"), + ] + + response = (await client_with_roads.get("/nodes/default.hard_hat")).json() + assert response["columns"] == [ + { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Hard Hat Id", + "name": "hard_hat_id", + "type": "int", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Title", + "name": "title", + "type": "string", + "partition": None, + }, + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "State", + "name": "state", + "type": "string", + "partition": None, + }, + ] + + # Check history of the node with column attribute set + response = await client_with_roads.get( + "/history?node=default.hard_hat", + ) + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [ + ("update", "node"), + ("create", "link"), + ("create", "node"), + ] + + response = await client_with_roads.patch( + "/nodes/default.hard_hat/", + json={ + "query": """ + SELECT + hard_hat_id, + title + FROM default.hard_hats + """, + }, + ) + response = await client_with_roads.get("/nodes/default.hard_hat/dimensions") + dimensions = response.json() + assert {dim["name"] for dim in dimensions} == { + "default.hard_hat.hard_hat_id", + "default.hard_hat.title", + } + + @pytest.mark.asyncio + async def test_propagate_update_downstream( + self, + client_with_roads: AsyncClient, + ): + """ + Tests that propagating updates downstream preserves dimension links + """ + # Extract existing dimension links on transform + response = await client_with_roads.get("/nodes/default.repair_orders_fact") + existing_dimension_links = response.json()["dimension_links"] + + # Update one of the transform's parents + response = await client_with_roads.patch( + "/nodes/default.repair_order_details", + json={ + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "repair_type_id", "type": "int"}, + {"name": "discount", "type": "float"}, + ], + }, + ) + assert response.status_code == 200 + + # Check that the transform's original dimension links remain after the parent node's + # update has been propagated to the transform + response = await client_with_roads.get("/nodes/default.repair_orders_fact") + data = response.json() + assert sorted( + data["dimension_links"], + key=lambda key: key["dimension"]["name"], + ) == sorted( + existing_dimension_links, + key=lambda key: key["dimension"]["name"], + ) + # Node may be valid or invalid depending on whether removed columns were used + assert data["status"] in ("valid", "invalid") + + @pytest.mark.asyncio + async def test_update_dimension_remove_pk_column( + self, + client_with_roads: AsyncClient, + ): + """ + When a dimension node is updated with a new query that removes the original primary key + column, either a new primary key must be set or the node will be set to invalid. + """ + response = await client_with_roads.patch( + "/nodes/default.hard_hat/", + json={ + "query": """ + SELECT + title, + state + FROM default.hard_hats + """, + # "primary_key": ["title"], + }, + ) + assert response.json()["status"] == "invalid" + response = await client_with_roads.patch( + "/nodes/default.hard_hat/", + json={ + "query": """ + SELECT + title, + state + FROM default.hard_hats + """, + "primary_key": ["title"], + }, + ) + assert response.json()["status"] == "valid" + + @pytest.mark.asyncio + async def test_node_downstreams(self, client_with_event: AsyncClient): + """ + Test getting downstream nodes of different node types. + """ + response = await client_with_event.get( + "/nodes/default.event_source/downstream/?node_type=metric", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.long_events_distinct_countries", + "default.device_ids_count", + } + + response = await client_with_event.get( + "/nodes/default.event_source/downstream/?node_type=transform", + ) + data = response.json() + assert {node["name"] for node in data} == {"default.long_events"} + + response = await client_with_event.get( + "/nodes/default.event_source/downstream/?node_type=dimension", + ) + data = response.json() + assert {node["name"] for node in data} == {"default.country_dim"} + + response = await client_with_event.get( + "/nodes/default.event_source/downstream/", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.long_events_distinct_countries", + "default.device_ids_count", + "default.long_events", + "default.country_dim", + } + + # Test depth limiting + response = await client_with_event.get( + "/nodes/default.event_source/downstream/?depth=2", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.long_events_distinct_countries", + "default.device_ids_count", + "default.long_events", + "default.country_dim", + } + response = await client_with_event.get( + "/nodes/default.event_source/downstream/?depth=1", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.long_events", + "default.country_dim", + "default.device_ids_count", + } + response = await client_with_event.get( + "/nodes/default.event_source/downstream/?depth=0", + ) + data = response.json() + assert {node["name"] for node in data} == set() + + response = await client_with_event.get( + "/nodes/default.device_ids_count/downstream/", + ) + data = response.json() + assert data == [] + + response = await client_with_event.get("/nodes/default.long_events/downstream/") + data = response.json() + assert {node["name"] for node in data} == { + "default.long_events_distinct_countries", + } + + @pytest.mark.asyncio + async def test_node_upstreams(self, client_with_event: AsyncClient): + """ + Test getting upstream nodes of different node types. + """ + response = await client_with_event.get( + "/nodes/default.long_events_distinct_countries/upstream/", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.event_source", + "default.long_events", + } + # Uses cached response + response = await client_with_event.get( + "/nodes/default.long_events_distinct_countries/upstream/", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.event_source", + "default.long_events", + } + + @pytest.mark.asyncio + async def test_list_node_dag(self, client_example_loader): + """ + Test getting the DAG for a node + """ + custom_client = await client_example_loader(["EVENT", "ROADS"]) + response = await custom_client.get( + "/nodes/default.long_events_distinct_countries/dag", + ) + data = response.json() + assert {node["name"] for node in data} == { + "default.country_dim", + "default.event_source", + "default.long_events", + "default.long_events_distinct_countries", + } + + response = await custom_client.get("/nodes/default.num_repair_orders/dag") + data = response.json() + assert {node["name"] for node in data} == { + "default.dispatcher", + "default.hard_hat", + "default.hard_hat_to_delete", + "default.municipality_dim", + "default.num_repair_orders", + "default.repair_order_details", + "default.repair_orders", + "default.repair_orders_fact", + "default.us_state", + } + + @pytest.mark.asyncio + async def test_node_column_lineage(self, client_with_roads: AsyncClient): + """ + Test endpoint to retrieve a node's column-level lineage + """ + response = await client_with_roads.get( + "/nodes/default.num_repair_orders/lineage/", + ) + assert response.json() == [ + { + "column_name": "default_DOT_num_repair_orders", + "display_name": "Num Repair Orders", + "lineage": [ + { + "column_name": "repair_order_id", + "display_name": "Repair Orders Fact", + "lineage": [ + { + "column_name": "repair_order_id", + "display_name": "default.roads.repair_orders", + "lineage": [], + "node_name": "default.repair_orders", + "node_type": "source", + }, + ], + "node_name": "default.repair_orders_fact", + "node_type": "transform", + }, + ], + "node_name": "default.num_repair_orders", + "node_type": "metric", + }, + ] + + await client_with_roads.post( + "/nodes/metric/", + json={ + "name": "default.discounted_repair_orders", + "query": ( + """ + SELECT + cast(sum(if(discount > 0.0, 1, 0)) as double) / count(repair_order_id) + FROM default.repair_order_details + """ + ), + "mode": "published", + "description": "Discounted Repair Orders", + }, + ) + response = await client_with_roads.get( + "/nodes/default.discounted_repair_orders/lineage/", + ) + assert response.json() == [ + { + "column_name": "default_DOT_discounted_repair_orders", + "node_name": "default.discounted_repair_orders", + "node_type": "metric", + "display_name": "Discounted Repair Orders", + "lineage": [ + { + "column_name": "repair_order_id", + "node_name": "default.repair_order_details", + "node_type": "source", + "display_name": "default.roads.repair_order_details", + "lineage": [], + }, + { + "column_name": "discount", + "node_name": "default.repair_order_details", + "node_type": "source", + "display_name": "default.roads.repair_order_details", + "lineage": [], + }, + ], + }, + ] + + @pytest.mark.asyncio + async def test_revalidating_existing_nodes(self, client_with_roads: AsyncClient): + """ + Test revalidating representative nodes and confirm that they are set to valid. + + Tests one node of each type to verify validation works correctly: + - Source: default.repair_orders + - Transform: default.repair_orders_fact + - Dimension: default.hard_hat + - Metric: default.num_repair_orders + - Cube: default.repairs_cube (created in test) + """ + await client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": [ + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + ], + "dimensions": [ + "default.hard_hat.hire_date", + "default.hard_hat.state", + "default.dispatcher.company_name", + ], + "filters": [], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + }, + ) + + # Test representative nodes of each type instead of all nodes + # This covers the key scenarios while reducing test time from ~15s to ~3s + representative_nodes = [ + "default.repair_orders", # source + "default.repair_orders_fact", # transform + "default.hard_hat", # dimension + "default.num_repair_orders", # metric + "default.repairs_cube", # cube + ] + + for node in representative_nodes: + status = ( + await client_with_roads.post( + f"/nodes/{node}/validate/", + ) + ).json()["status"] + assert status == "valid", f"Node {node} should be valid after revalidation" + + # Confirm that they still show as valid server-side + for node in representative_nodes: + node_data = (await client_with_roads.get(f"/nodes/{node}")).json() + assert node_data["status"] == "valid", f"Node {node} should still be valid" + + @pytest.mark.asyncio + async def test_lineage_on_complex_transforms(self, client_with_roads: AsyncClient): + """ + Test metric lineage on more complex transforms and metrics + """ + response = ( + await client_with_roads.get("/nodes/default.regional_level_agg/") + ).json() + columns = response["columns"] + columns_map = {col["name"]: col for col in columns} + assert columns_map["us_region_id"] == { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Us Region Id", + "name": "us_region_id", + "type": "int", + "partition": None, + } + assert columns_map["state_name"] == { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "State Name", + "name": "state_name", + "type": "string", + "partition": None, + } + assert columns_map["location_hierarchy"] == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Location Hierarchy", + "name": "location_hierarchy", + "type": "string", + "partition": None, + } + assert columns_map["order_year"] == { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Order Year", + "name": "order_year", + "type": "int", + "partition": None, + } + assert columns_map["order_month"] == { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Order Month", + "name": "order_month", + "type": "int", + "partition": None, + } + assert columns_map["order_day"] == { + "attributes": [ + {"attribute_type": {"name": "primary_key", "namespace": "system"}}, + ], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Order Day", + "name": "order_day", + "type": "int", + "partition": None, + } + assert columns_map["completed_repairs"] == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Completed Repairs", + "name": "completed_repairs", + "type": "bigint", + "partition": None, + } + assert columns_map["total_repairs_dispatched"] == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Total Repairs Dispatched", + "name": "total_repairs_dispatched", + "type": "bigint", + "partition": None, + } + assert columns_map["total_amount_in_region"] == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Total Amount In Region", + "name": "total_amount_in_region", + "type": "double", + "partition": None, + } + assert columns_map["avg_repair_amount_in_region"] == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Avg Repair Amount In Region", + "name": "avg_repair_amount_in_region", + "type": "double", + "partition": None, + } + assert columns_map["avg_dispatch_delay"] == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Avg Dispatch Delay", + "name": "avg_dispatch_delay", + "type": "double", + "partition": None, + } + assert columns_map["unique_contractors"] == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Unique Contractors", + "name": "unique_contractors", + "type": "bigint", + "partition": None, + } + + response = ( + await client_with_roads.get( + "/nodes/default.regional_repair_efficiency/", + ) + ).json() + assert response["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Regional Repair Efficiency", + "name": "default_DOT_regional_repair_efficiency", + "type": "double", + "partition": None, + }, + ] + response = ( + await client_with_roads.get( + "/nodes/default.regional_repair_efficiency/lineage/", + ) + ).json() + assert response == [ + { + "column_name": "default_DOT_regional_repair_efficiency", + "node_name": "default.regional_repair_efficiency", + "node_type": "metric", + "display_name": "Regional Repair Efficiency", + "lineage": [ + { + "column_name": "total_amount_nationwide", + "node_name": "default.national_level_agg", + "node_type": "transform", + "display_name": "National Level Agg", + "lineage": [ + { + "column_name": "quantity", + "node_name": "default.repair_order_details", + "node_type": "source", + "display_name": "default.roads.repair_order_details", + "lineage": [], + }, + { + "column_name": "price", + "node_name": "default.repair_order_details", + "node_type": "source", + "display_name": "default.roads.repair_order_details", + "lineage": [], + }, + ], + }, + { + "column_name": "total_amount_in_region", + "node_name": "default.regional_level_agg", + "node_type": "transform", + "display_name": "Regional Level Agg", + "lineage": [ + { + "column_name": "quantity", + "node_name": "default.repair_order_details", + "node_type": "source", + "display_name": "default.roads.repair_order_details", + "lineage": [], + }, + { + "column_name": "price", + "node_name": "default.repair_order_details", + "node_type": "source", + "display_name": "default.roads.repair_order_details", + "lineage": [], + }, + ], + }, + { + "column_name": "total_repairs_dispatched", + "node_name": "default.regional_level_agg", + "node_type": "transform", + "display_name": "Regional Level Agg", + "lineage": [ + { + "column_name": "repair_order_id", + "node_name": "default.repair_orders", + "node_type": "source", + "display_name": "default.roads.repair_orders", + "lineage": [], + }, + ], + }, + { + "column_name": "completed_repairs", + "node_name": "default.regional_level_agg", + "node_type": "transform", + "display_name": "Regional Level Agg", + "lineage": [ + { + "column_name": "repair_order_id", + "node_name": "default.repair_orders", + "node_type": "source", + "display_name": "default.roads.repair_orders", + "lineage": [], + }, + { + "column_name": "dispatched_date", + "node_name": "default.repair_orders", + "node_type": "source", + "display_name": "default.roads.repair_orders", + "lineage": [], + }, + ], + }, + ], + }, + ] + + +@pytest.mark.asyncio +async def test_node_similarity( + session: AsyncSession, + client: AsyncClient, + current_user: User, +): + """ + Test determining node similarity based on their queries + """ + source_data = Node( + name="source_data", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source_data_rev = NodeRevision( + node=source_data, + version="1", + name=source_data.name, + type=source_data.type, + created_by_id=current_user.id, + ) + a_transform = Node( + name="a_transform", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + a_transform_rev = NodeRevision( + name=a_transform.name, + node=a_transform, + version="1", + query="SELECT 1 as num", + type=a_transform.type, + columns=[ + Column(name="num", type=IntegerType()), + ], + created_by_id=current_user.id, + ) + another_transform = Node( + name="another_transform", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + another_transform_rev = NodeRevision( + name=another_transform.name, + node=another_transform, + version="1", + query="SELECT 1 as num", + type=another_transform.type, + columns=[ + Column(name="num", type=IntegerType()), + ], + created_by_id=current_user.id, + ) + yet_another_transform = Node( + name="yet_another_transform", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + yet_another_transform_rev = NodeRevision( + name=yet_another_transform.name, + node=yet_another_transform, + version="1", + query="SELECT 2 as num", + type=yet_another_transform.type, + columns=[ + Column(name="num", type=IntegerType()), + ], + created_by_id=current_user.id, + ) + session.add(source_data_rev) + session.add(a_transform_rev) + session.add(another_transform_rev) + session.add(yet_another_transform_rev) + await session.commit() + + response = await client.get("/nodes/similarity/a_transform/another_transform") + assert response.status_code == 200 + data = response.json() + assert data["similarity"] == 1.0 + + response = await client.get("/nodes/similarity/a_transform/yet_another_transform") + assert response.status_code == 200 + data = response.json() + assert data["similarity"] == 0.75 + + response = await client.get( + "/nodes/similarity/yet_another_transform/another_transform", + ) + assert response.status_code == 200 + data = response.json() + assert data["similarity"] == 0.75 + + # Check that the proper error is raised when using a source node + response = await client.get("/nodes/similarity/a_transform/source_data") + assert response.status_code == 409 + data = response.json() + assert data == { + "message": "Cannot determine similarity of source nodes", + "errors": [], + "warnings": [], + } + + +@pytest.mark.asyncio +async def test_resolving_downstream_status( + client_with_service_setup: AsyncClient, +) -> None: + """ + Test creating and updating a source node + """ + # Create draft transform and metric nodes with missing parents + transform1 = { + "name": "default.comments_by_migrated_users", + "description": "Comments by users who have already migrated", + "query": "SELECT id, user_id FROM default.comments WHERE text LIKE '%migrated%'", + "mode": "draft", + } + + transform2 = { + "name": "default.comments_by_users_pending_a_migration", + "description": "Comments by users who have a migration pending", + "query": "SELECT id, user_id FROM default.comments WHERE text LIKE '%migration pending%'", + "mode": "draft", + } + + transform3 = { + "name": "default.comments_by_users_partially_migrated", + "description": "Comments by users are partially migrated", + "query": ( + "SELECT p.id, p.user_id FROM default.comments_by_users_pending_a_migration p " + "INNER JOIN default.comments_by_migrated_users m ON p.user_id = m.user_id" + ), + "mode": "draft", + } + + transform4 = { + "name": "default.comments_by_banned_users", + "description": "Comments by users are partially migrated", + "query": ( + "SELECT id, user_id FROM default.comments AS comment " + "INNER JOIN default.banned_users AS banned_users " + "ON comments.user_id = banned_users.banned_user_id" + ), + "mode": "draft", + } + + transform5 = { + "name": "default.comments_by_users_partially_migrated_sample", + "description": "Sample of comments by users are partially migrated", + "query": "SELECT id, user_id, foo FROM default.comments_by_users_partially_migrated", + "mode": "draft", + } + + metric1 = { + "name": "default.number_of_migrated_users", + "description": "Number of migrated users", + "query": "SELECT COUNT(DISTINCT user_id) FROM default.comments_by_migrated_users", + "mode": "draft", + } + + metric2 = { + "name": "default.number_of_users_with_pending_migration", + "description": "Number of users with a migration pending", + "query": ( + "SELECT COUNT(DISTINCT user_id) FROM " + "default.comments_by_users_pending_a_migration" + ), + "mode": "draft", + } + + metric3 = { + "name": "default.number_of_users_partially_migrated", + "description": "Number of users partially migrated", + "query": "SELECT COUNT(DISTINCT user_id) FROM default.comments_by_users_partially_migrated", + "mode": "draft", + } + + for node, node_type in [ + (transform1, NodeType.TRANSFORM), + (transform2, NodeType.TRANSFORM), + (transform3, NodeType.TRANSFORM), + (transform4, NodeType.TRANSFORM), + (transform5, NodeType.TRANSFORM), + (metric1, NodeType.METRIC), + (metric2, NodeType.METRIC), + (metric3, NodeType.METRIC), + ]: + response = await client_with_service_setup.post( + f"/nodes/{node_type.value}/", + json=node, + ) + assert response.status_code == 201 + data = response.json() + assert data["name"] == node["name"] + assert data["mode"] == node["mode"] + assert data["status"] == "invalid" + + # Add the missing parent + missing_parent_node = { + "name": "default.comments", + "description": "A fact table with comments", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "user_id", "type": "int"}, + {"name": "timestamp", "type": "timestamp"}, + {"name": "text", "type": "string"}, + ], + "mode": "published", + "catalog": "public", + "schema_": "basic", + "table": "comments", + } + + response = await client_with_service_setup.post( + "/nodes/source/", + json=missing_parent_node, + ) + assert response.status_code == 200 + data = response.json() + assert data["name"] == missing_parent_node["name"] + assert data["mode"] == missing_parent_node["mode"] + assert data["status"] == "valid" + + # Check that downstream nodes have now been switched to a "valid" status + for node in [transform1, transform2, transform3, metric1, metric2, metric3]: + response = await client_with_service_setup.get(f"/nodes/{node['name']}/") + assert response.status_code == 200 + data = response.json() + assert data["name"] == node["name"] + assert data["mode"] == node["mode"] # make sure the mode hasn't been changed + assert ( + data["status"] == "valid" + ) # make sure the node's status has been updated to valid + + # Check that nodes still not valid have an invalid status + for node in [transform4, transform5]: + response = await client_with_service_setup.get(f"/nodes/{node['name']}/") + assert response.status_code == 200 + data = response.json() + assert data["name"] == node["name"] + assert data["mode"] == node["mode"] # make sure the mode hasn't been changed + assert data["status"] == "invalid" + + +def test_decompose_expression(): + """ + Verify metric expression decomposition into measures for cubes + """ + res = decompose_expression(ast.Number(value=5.5)) + assert res == (ast.Number(value=5.5), []) + + # Decompose `avg(orders)` + res = decompose_expression( + ast.Function(ast.Name("avg"), args=[ast.Column(ast.Name("orders"))]), + ) + assert str(res[0]) == "sum(orders3845127662_sum) / count(orders3845127662_count)" + assert [measure.alias_or_name.name for measure in res[1]] == [ + "orders3845127662_sum", + "orders3845127662_count", + ] + + # Decompose `avg(orders) + 5.5` + res = decompose_expression( + ast.BinaryOp( + left=ast.Function(ast.Name("avg"), args=[ast.Column(ast.Name("orders"))]), + right=ast.Number(value=5.5), + op=ast.BinaryOpKind.Plus, + ), + ) + assert ( + str(res[0]) == "sum(orders3845127662_sum) / count(orders3845127662_count) + 5.5" + ) + assert [measure.alias_or_name.name for measure in res[1]] == [ + "orders3845127662_sum", + "orders3845127662_count", + ] + + # Decompose `max(avg(orders_a) + avg(orders_b))` + res = decompose_expression( + ast.Function( + ast.Name("max"), + args=[ + ast.BinaryOp( + op=ast.BinaryOpKind.Plus, + left=ast.Function( + ast.Name("avg"), + args=[ast.Column(ast.Name("orders_a"))], + ), + right=ast.Function( + ast.Name("avg"), + args=[ast.Column(ast.Name("orders_b"))], + ), + ), + ], + ), + ) + assert ( + str(res[0]) + == "max(sum(orders_a1170126662_sum) / count(orders_a1170126662_count) " + "+ sum(orders_b3703039740_sum) / count(orders_b3703039740_count))" + ) + + # Decompose `sum(max(orders))` + res = decompose_expression( + ast.Function( + ast.Name("sum"), + args=[ + ast.Function( + ast.Name("max"), + args=[ast.Column(ast.Name("orders"))], + ), + ], + ), + ) + assert str(res[0]) == "sum(max(orders3845127662_max))" + assert [measure.alias_or_name.name for measure in res[1]] == [ + "orders3845127662_max", + ] + + # Decompose `(max(orders) + min(validations))/sum(total)` + res = decompose_expression( + ast.BinaryOp( + left=ast.BinaryOp( + left=ast.Function( + ast.Name("max"), + args=[ast.Column(ast.Name("orders"))], + ), + right=ast.Function( + ast.Name("min"), + args=[ast.Column(ast.Name("validations"))], + ), + op=ast.BinaryOpKind.Plus, + ), + right=ast.Function(ast.Name("sum"), args=[ast.Column(ast.Name("total"))]), + op=ast.BinaryOpKind.Divide, + ), + ) + assert ( + str(res[0]) + == "max(orders3845127662_max) + min(validations2970758927_min) / sum(total3257917790_sum)" + ) + assert [measure.alias_or_name.name for measure in res[1]] == [ + "orders3845127662_max", + "validations2970758927_min", + "total3257917790_sum", + ] + + # Decompose `cast(sum(coalesce(has_ordered, 0.0)) as double)/count(total)` + res = decompose_expression( + ast.BinaryOp( + left=ast.Cast( + expression=ast.Function( + name=ast.Name("sum"), + args=[ + ast.Function( + ast.Name("coalesce"), + args=[ast.Column(ast.Name("has_ordered")), ast.Number(0.0)], + ), + ], + ), + data_type=types.DoubleType(), + ), + right=ast.Function( + name=ast.Name("sum"), + args=[ast.Column(ast.Name("total"))], + ), + op=ast.BinaryOpKind.Divide, + ), + ) + assert str(res[0]) == "sum(has_ordered2766370626_sum) / sum(total3257917790_sum)" + assert [measure.alias_or_name.name for measure in res[1]] == [ + "has_ordered2766370626_sum", + "total3257917790_sum", + ] + + +@pytest.mark.asyncio +async def test_list_dimension_attributes(client_with_roads: AsyncClient) -> None: + """ + Test that listing dimension attributes for any node works. + """ + response = await client_with_roads.get( + "/nodes/default.regional_level_agg/dimensions/", + ) + assert response.status_code in (200, 201) + assert sorted(response.json(), key=lambda x: x["name"]) == sorted( + [ + { + "filter_only": False, + "name": "default.regional_level_agg.order_day", + "node_display_name": "Regional Level Agg", + "node_name": "default.regional_level_agg", + "path": [], + "type": "int", + "properties": ["primary_key"], + }, + { + "filter_only": False, + "name": "default.regional_level_agg.order_month", + "node_display_name": "Regional Level Agg", + "node_name": "default.regional_level_agg", + "path": [], + "type": "int", + "properties": ["primary_key"], + }, + { + "filter_only": False, + "name": "default.regional_level_agg.order_year", + "node_display_name": "Regional Level Agg", + "node_name": "default.regional_level_agg", + "path": [], + "type": "int", + "properties": ["primary_key"], + }, + { + "filter_only": False, + "name": "default.regional_level_agg.state_name", + "node_display_name": "Regional Level Agg", + "node_name": "default.regional_level_agg", + "path": [], + "type": "string", + "properties": ["primary_key"], + }, + { + "filter_only": False, + "name": "default.regional_level_agg.us_region_id", + "node_display_name": "Regional Level Agg", + "node_name": "default.regional_level_agg", + "path": [], + "type": "int", + "properties": ["primary_key"], + }, + { + "filter_only": True, + "name": "default.repair_order.repair_order_id", + "node_display_name": "Repair Order", + "node_name": "default.repair_order", + "path": ["default.repair_orders"], + "type": "int", + "properties": ["primary_key"], + }, + { + "filter_only": True, + "name": "default.dispatcher.dispatcher_id", + "node_display_name": "Dispatcher", + "node_name": "default.dispatcher", + "path": ["default.repair_orders"], + "type": "int", + "properties": ["primary_key"], + }, + { + "filter_only": True, + "name": "default.repair_order.repair_order_id", + "node_display_name": "Repair Order", + "node_name": "default.repair_order", + "path": ["default.repair_order_details"], + "type": "int", + "properties": ["primary_key"], + }, + { + "filter_only": True, + "name": "default.contractor.contractor_id", + "node_display_name": "Contractor", + "node_name": "default.contractor", + "path": ["default.repair_type"], + "type": "int", + "properties": ["primary_key"], + }, + { + "filter_only": True, + "name": "default.us_state.state_short", + "node_display_name": "Us State", + "node_name": "default.us_state", + "path": [ + "default.contractors", + ], + "type": "string", + "properties": ["primary_key"], + }, + ], + key=lambda x: x["name"], # type: ignore + ) + + +@pytest.mark.asyncio +async def test_cycle_detection_dimensions_graph(client_with_roads: AsyncClient) -> None: + """ + Test that getting the dimensions graph detects cycles and does not continue with + infinite recursion. + """ + response = await client_with_roads.post( + "/nodes/transform", + json={ + "description": "Events", + "query": """ + SELECT + 1 AS event_id, + 2 AS user_id + """, + "mode": "published", + "name": "default.events", + "primary_key": ["event_id"], + }, + ) + response = await client_with_roads.post( + "/nodes/dimension", + json={ + "description": "User dimension", + "query": """ + SELECT + 1 AS user_id, + 2 AS birth_country + """, + "mode": "published", + "name": "default.user", + "primary_key": ["user_id"], + }, + ) + assert response.status_code == 201 + response = await client_with_roads.post( + "/nodes/dimension", + json={ + "description": "Country dimension", + "query": """ + SELECT + 1 AS country_id, + 2 AS user_id + """, + "mode": "published", + "name": "default.country", + "primary_key": ["country_id"], + }, + ) + assert response.status_code == 201 + + # Create dimension links that are in a cycle + response = await client_with_roads.post( + "/nodes/default.user/link", + json={ + "dimension_node": "default.country", + "join_type": "left", + "join_on": ("default.user.birth_country = default.country.country_id"), + }, + ) + assert response.status_code == 201 + response = await client_with_roads.post( + "/nodes/default.country/link", + json={ + "dimension_node": "default.user", + "join_type": "left", + "join_on": ("default.user.user_id = default.country.user_id"), + }, + ) + assert response.status_code == 201 + response = await client_with_roads.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.user", + "join_type": "left", + "join_on": ("default.events.user_id = default.user.user_id"), + }, + ) + assert response.status_code == 201 + + # Requesting dimensions for any of the above nodes should have a finite end + response = await client_with_roads.get("/nodes/default.user/dimensions") + assert { + " -> ".join(dim["path"] + [""]) + dim["name"] for dim in response.json() + } == { + "default.user -> default.country -> default.user -> default.user.birth_country", + "default.user -> default.country -> default.user -> default.user.user_id", + "default.user -> default.country -> default.user -> default.country -> default.country.user_id", + "default.user.user_id", + "default.user -> default.country -> default.user -> default.country -> default.country.country_id", + "default.user -> default.country -> default.country.user_id", + "default.user -> default.country -> default.country.country_id", + "default.user.birth_country", + } + + response = await client_with_roads.get("/nodes/default.events/dimensions") + assert { + " -> ".join(dim["path"] + [""]) + dim["name"] for dim in response.json() + } == { + "default.events -> default.user -> default.country -> default.country.user_id", + "default.events.event_id", + "default.events -> default.user -> default.country -> default.user -> default.user.birth_country", + "default.events -> default.user -> default.user.birth_country", + "default.events -> default.user -> default.user.user_id", + "default.events -> default.user -> default.country -> default.country.country_id", + "default.events -> default.user -> default.country -> default.user -> default.user.user_id", + } + + +@pytest.mark.asyncio +async def test_set_column_partition(client_with_roads: AsyncClient): + """ + Test setting temporal and categorical partitions on node + """ + # Set hire_date to temporal + response = await client_with_roads.post( + "/nodes/default.hard_hat/columns/hire_date/partition", + json={ + "type_": "temporal", + "granularity": "hour", + "format": "yyyyMMddHH", + }, + ) + assert response.json() == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Hire Date", + "name": "hire_date", + "partition": { + "expression": None, + "format": "yyyyMMddHH", + "type_": "temporal", + "granularity": "hour", + }, + "type": "timestamp", + } + + # Set state to categorical + response = await client_with_roads.post( + "/nodes/default.hard_hat/columns/state/partition", + json={ + "type_": "categorical", + }, + ) + assert response.json() == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "State", + "name": "state", + "partition": { + "expression": None, + "type_": "categorical", + "format": None, + "granularity": None, + }, + "type": "string", + } + + # Attempt to set country to temporal (missing granularity) + response = await client_with_roads.post( + "/nodes/default.hard_hat/columns/country/partition", + json={ + "type_": "temporal", + }, + ) + assert ( + response.json()["message"] + == "The granularity must be provided for temporal partitions. One of: " + "['SECOND', 'MINUTE', 'HOUR', 'DAY', 'WEEK', 'MONTH', 'QUARTER', " + "'YEAR']" + ) + + # Attempt to set country to temporal (missing format) + response = await client_with_roads.post( + "/nodes/default.hard_hat/columns/country/partition", + json={ + "type_": "temporal", + "granularity": "day", + }, + ) + assert ( + response.json()["message"] + == "The temporal partition column's datetime format must be provided." + ) + + # Set country to temporal + await client_with_roads.post( + "/nodes/default.hard_hat/columns/country/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + + # Update country to categorical + response = await client_with_roads.post( + "/nodes/default.hard_hat/columns/country/partition", + json={ + "type_": "categorical", + "expression": "", + }, + ) + assert response.json() == { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Country", + "name": "country", + "partition": { + "expression": None, + "type_": "categorical", + "format": None, + "granularity": None, + }, + "type": "string", + } + + +@pytest.mark.asyncio +async def test_delete_recreate_for_all_nodes(client_with_roads: AsyncClient): + """ + Test deleting and recreating for all node types + """ + # Delete a source node + await client_with_roads.delete("/nodes/default.dispatchers") + # Recreating it should succeed + response = await client_with_roads.post( + "/nodes/source", + json={ + "columns": [ + {"name": "dispatcher_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on dispatchers", + "mode": "published", + "name": "default.dispatchers", + "catalog": "default", + "schema_": "roads", + "table": "dispatchers", + }, + ) + assert response.json()["version"] == "v2.0" + response = await client_with_roads.get("/history?node=default.dispatchers") + assert [activity["activity_type"] for activity in response.json()] == [ + "restore", + "update", + "delete", + "create", + ] + await client_with_roads.patch( + "/nodes/default.dispatcher", + json={"primary_key": ["dispatcher_id"]}, + ) + + # Delete a dimension node + await client_with_roads.delete("/nodes/default.us_state") + # Trying to create a transform node with the same name will fail + response = await client_with_roads.post( + "/nodes/transform", + json={ + "description": "US state transform", + "query": """SELECT + state_id, + state_name, + state_abbr AS state_short +FROM default.us_states s +LEFT JOIN default.us_region r +ON s.state_region = r.us_region_id""", + "mode": "published", + "name": "default.us_state", + "primary_key": ["state_id"], + }, + ) + assert response.json()["message"] == ( + "A node with name `default.us_state` of a `dimension` type existed " + "before. If you want to re-create it with a different type, you " + "need to remove all traces of the previous node with a hard delete call: " + "DELETE /nodes/{node_name}/hard" + ) + # Trying to create a dimension node with the same name but an updated query will succeed + response = await client_with_roads.post( + "/nodes/dimension", + json={ + "description": "US state", + "query": """SELECT + state_id, + state_name, + state_abbr AS state_short +FROM default.us_states s +LEFT JOIN default.us_region r +ON s.state_region = r.us_region_id""", + "mode": "published", + "name": "default.us_state", + "primary_key": ["state_id"], + }, + ) + node_data = response.json() + assert node_data["version"] == "v2.0" + assert node_data["owners"] == [{"username": "dj"}] + response = await client_with_roads.get("/history?node=default.us_state") + assert [activity["activity_type"] for activity in response.json()] == [ + "restore", + "update", + "delete", + "create", + ] + + create_cube_payload = { + "metrics": [ + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + ], + "dimensions": [ + "default.hard_hat.country", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + } + await client_with_roads.post( + "/nodes/cube/", + json=create_cube_payload, + ) + await client_with_roads.delete("/nodes/default.repairs_cube") + await client_with_roads.post( + "/nodes/cube/", + json=create_cube_payload, + ) + response = await client_with_roads.get("/history?node=default.repairs_cube") + assert [activity["activity_type"] for activity in response.json()] == [ + "restore", + "delete", + "create", + ] + + +class TestCopyNode: + """Tests for the copy node API endpoint""" + + @pytest.fixture + def repairs_cube_payload(self): + """Repairs cube creation payload""" + return { + "metrics": [ + "default.num_repair_orders", + "default.avg_repair_price", + "default.total_repair_cost", + ], + "dimensions": [ + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + } + + @pytest.fixture + def metric_with_required_dim_payload(self): + """Metric with required dimension""" + return { + "description": "Average length of employment per manager", + "query": "SELECT avg(NOW() - hire_date) FROM default.hard_hats", + "mode": "published", + "name": "default.avg_length_of_employment_per_manager", + "required_dimensions": ["manager"], + } + + @pytest.mark.asyncio + async def test_copy_node_failures(self, client_with_roads: AsyncClient): + """ + Test reaching various failure states when copying nodes + """ + response = await client_with_roads.post( + "/nodes/default.repair_order/copy?new_name=default.contractor", + ) + assert ( + response.json()["message"] + == "A node with name default.contractor already exists." + ) + + response = await client_with_roads.post( + "/nodes/default.repair_order/copy?new_name=default.blah.repair_order", + ) + assert ( + response.json()["message"] + == "node namespace `default.blah` does not exist." + ) + + # Test copying over deactivated node + await client_with_roads.delete("/nodes/default.contractor") + await client_with_roads.post( + "/nodes/default.repair_order/copy?new_name=default.contractor", + ) + copied = (await client_with_roads.get("/nodes/default.contractor")).json() + original = (await client_with_roads.get("/nodes/default.repair_order")).json() + for field in [ + "name", + "node_id", + "node_revision_id", + "updated_at", + "version", + "current_version", + ]: + copied[field] = mock.ANY + copied_dimension_links = sorted( + copied["dimension_links"], + key=lambda li: li["dimension"]["name"], + ) + copied["dimension_links"] = mock.ANY + assert copied == original + assert copied_dimension_links == [ + { + "dimension": {"name": "default.dispatcher"}, + "foreign_keys": { + "default.contractor.dispatcher_id": ( + "default.dispatcher.dispatcher_id" + ), + }, + "join_cardinality": "many_to_one", + "join_sql": "default.contractor.dispatcher_id = " + "default.dispatcher.dispatcher_id", + "join_type": "inner", + "role": None, + }, + { + "dimension": {"name": "default.hard_hat"}, + "foreign_keys": { + "default.contractor.hard_hat_id": ("default.hard_hat.hard_hat_id"), + }, + "join_cardinality": "many_to_one", + "join_sql": "default.contractor.hard_hat_id = default.hard_hat.hard_hat_id", + "join_type": "inner", + "role": None, + }, + { + "dimension": {"name": "default.hard_hat_to_delete"}, + "foreign_keys": { + "default.contractor.hard_hat_id": ( + "default.hard_hat_to_delete.hard_hat_id" + ), + }, + "join_cardinality": "many_to_one", + "join_sql": "default.contractor.hard_hat_id = " + "default.hard_hat_to_delete.hard_hat_id", + "join_type": "left", + "role": None, + }, + { + "dimension": {"name": "default.municipality_dim"}, + "foreign_keys": { + "default.contractor.municipality_id": ( + "default.municipality_dim.municipality_id" + ), + }, + "join_cardinality": "many_to_one", + "join_sql": "default.contractor.municipality_id = " + "default.municipality_dim.municipality_id", + "join_type": "inner", + "role": None, + }, + ] + + @pytest.mark.asyncio + async def test_copy_nodes( + self, + client_with_roads: AsyncClient, + repairs_cube_payload, + metric_with_required_dim_payload, + ): + """ + Test copying representative nodes of each type in the roads database. + + Tests one node of each type to verify copy functionality works correctly: + - Source with dimension links: default.repair_orders + - Source without dimension links: default.dispatchers + - Transform: default.repair_orders_fact + - Dimension with links: default.hard_hat + - Dimension without links: default.dispatcher + - Metric: default.num_repair_orders + - Cube: default.repairs_cube + """ + # Expected dimension links for nodes that have them (after copy, join SQL references _copy) + expected_dimension_links = { + "default.repair_orders": [ + { + "dimension": {"name": "default.dispatcher"}, + "foreign_keys": { + "default.repair_orders_copy.dispatcher_id": ( + "default.dispatcher.dispatcher_id" + ), + }, + "join_cardinality": "many_to_one", + "join_sql": "default.repair_orders_copy.dispatcher_id = " + "default.dispatcher.dispatcher_id", + "join_type": "inner", + "role": None, + }, + { + "dimension": {"name": "default.repair_order"}, + "foreign_keys": { + "default.repair_orders_copy.repair_order_id": ( + "default.repair_order.repair_order_id" + ), + }, + "join_cardinality": "many_to_one", + "join_sql": "default.repair_orders_copy.repair_order_id " + "= default.repair_order.repair_order_id", + "join_type": "inner", + "role": None, + }, + ], + "default.repair_orders_fact": [ + { + "dimension": {"name": "default.dispatcher"}, + "join_type": "inner", + "join_sql": "default.repair_orders_fact_copy.dispatcher_id = " + "default.dispatcher.dispatcher_id", + "join_cardinality": "many_to_one", + "role": None, + "foreign_keys": { + "default.repair_orders_fact_copy.dispatcher_id": ( + "default.dispatcher.dispatcher_id" + ), + }, + }, + { + "dimension": {"name": "default.hard_hat"}, + "join_type": "inner", + "join_sql": "default.repair_orders_fact_copy.hard_hat_id = " + "default.hard_hat.hard_hat_id", + "join_cardinality": "many_to_one", + "role": None, + "foreign_keys": { + "default.repair_orders_fact_copy.hard_hat_id": ( + "default.hard_hat.hard_hat_id" + ), + }, + }, + { + "dimension": {"name": "default.hard_hat_to_delete"}, + "join_type": "left", + "join_sql": "default.repair_orders_fact_copy.hard_hat_id = " + "default.hard_hat_to_delete.hard_hat_id", + "join_cardinality": "many_to_one", + "role": None, + "foreign_keys": { + "default.repair_orders_fact_copy.hard_hat_id": ( + "default.hard_hat_to_delete.hard_hat_id" + ), + }, + }, + { + "dimension": {"name": "default.municipality_dim"}, + "join_type": "inner", + "join_sql": "default.repair_orders_fact_copy.municipality_id = " + "default.municipality_dim.municipality_id", + "join_cardinality": "many_to_one", + "role": None, + "foreign_keys": { + "default.repair_orders_fact_copy.municipality_id": ( + "default.municipality_dim.municipality_id" + ), + }, + }, + ], + "default.hard_hat": [ + { + "dimension": {"name": "default.us_state"}, + "join_type": "inner", + "join_sql": "default.hard_hat_copy.state = default.us_state.state_short", + "join_cardinality": "many_to_one", + "role": None, + "foreign_keys": { + "default.hard_hat_copy.state": "default.us_state.state_short", + }, + }, + ], + } + await client_with_roads.post("/nodes/cube", json=repairs_cube_payload) + await client_with_roads.post( + "/nodes/metric", + json=metric_with_required_dim_payload, + ) + + # Test representative nodes of each type instead of all nodes + # This covers: source (with/without links), transform, dimension (with/without links), + # metric, and cube - reducing test time from ~55s to ~5s + representative_nodes = [ + "default.repair_orders", # source with dimension links + "default.dispatchers", # source without dimension links + "default.repair_orders_fact", # transform with dimension links + "default.hard_hat", # dimension with links to us_state + "default.dispatcher", # dimension without outgoing links + "default.num_repair_orders", # metric + "default.repairs_cube", # cube + ] + + # Copy representative nodes + for node in representative_nodes: + await client_with_roads.post(f"/nodes/{node}/copy?new_name={node}_copy") + + # Check that each node was successfully copied by comparing against the original + for node in representative_nodes: + original = (await client_with_roads.get(f"/nodes/{node}")).json() + copied = (await client_with_roads.get(f"/nodes/{node}_copy")).json() + for field in ["name", "node_id", "node_revision_id", "updated_at"]: + copied[field] = mock.ANY + copied_dimension_links = sorted( + copied["dimension_links"], + key=lambda link: link["dimension"]["name"], + ) + assert sorted(original["parents"], key=lambda node: node["name"]) == sorted( + copied["parents"], + key=lambda node: node["name"], + ) + copied["dimension_links"] = mock.ANY + copied["parents"] = mock.ANY + copied["current_version"] = mock.ANY + copied["version"] = mock.ANY + original["dimension_links"] = sorted( + original["dimension_links"], + key=lambda link: link["dimension"]["name"], + ) + assert original == copied + + # Compare the dimension links, which should have updated join clauses + expected_link = expected_dimension_links.get(node) + if expected_link: + assert expected_link == copied_dimension_links + + # Metrics contain additional metadata, so compare the /metrics endpoint as well + if original["type"] == "metric": + metric_orig = (await client_with_roads.get(f"/metrics/{node}")).json() + metric_copied = ( + await client_with_roads.get(f"/metrics/{node}_copy") + ).json() + for field in ["id", "name", "updated_at"]: + metric_copied[field] = mock.ANY + assert metric_orig == metric_copied + + # Cubes contain additional metadata, so compare the /metrics endpoint as well + if original["type"] == "cube": + cube_orig = (await client_with_roads.get(f"/cubes/{node}")).json() + cube_copied = ( + await client_with_roads.get(f"/cubes/{node}_copy") + ).json() + for field in ["name", "node_id", "node_revision_id", "updated_at"]: + cube_copied[field] = mock.ANY + assert cube_orig == cube_copied + + # Check that the dimensions DAG for the node has been copied + # original_dimensions = [ + # dim["name"] + # for dim in ( + # await client_with_roads.get(f"/nodes/{node}/dimensions") + # ).json() + # ] + # copied_dimensions = [ + # dim["name"].replace(f"{node}_copy", node) + # for dim in ( + # await client_with_roads.get( + # f"/nodes/{node}_copy/dimensions", + # ) + # ).json() + # ] + # for copied in copied_dimensions: + # assert copied in original_dimensions diff --git a/datajunction-server/tests/api/nodes_update_test.py b/datajunction-server/tests/api/nodes_update_test.py new file mode 100644 index 000000000..42b223591 --- /dev/null +++ b/datajunction-server/tests/api/nodes_update_test.py @@ -0,0 +1,265 @@ +"""Tests for node updates""" + +from unittest import mock + +import pytest +from httpx import AsyncClient +import pytest_asyncio + +from datajunction_server.models.node import NodeStatus + + +@pytest.mark.asyncio +async def test_update_source_node( + client_with_roads: AsyncClient, +) -> None: + """ + Test updating a source node that has multiple layers of downstream effects + non-immediate children should be revalidated: + - default.regional_repair_efficiency should be affected (invalidated) + column changes should affect validity: + - any metric selecting from `quantity` should be invalid (now quantity_v2) + - any metric selecting from `price` should have updated types (now string) + """ + await client_with_roads.patch( + "/nodes/default.repair_order_details/", + json={ + "columns": [ + {"name": "repair_order_id", "type": "string"}, + {"name": "repair_type_id", "type": "int"}, + {"name": "price", "type": "string"}, + {"name": "quantity_v2", "type": "int"}, + {"name": "discount", "type": "float"}, + ], + }, + ) + affected_nodes = { + "default.regional_level_agg": NodeStatus.INVALID, # NodeStatus.INVALID + "default.national_level_agg": NodeStatus.INVALID, + "default.avg_repair_price": NodeStatus.INVALID, + "default.total_repair_cost": NodeStatus.INVALID, + "default.discounted_orders_rate": NodeStatus.INVALID, + "default.total_repair_order_discounts": NodeStatus.INVALID, + "default.avg_repair_order_discounts": NodeStatus.INVALID, + "default.regional_repair_efficiency": NodeStatus.INVALID, + } + + node_history_events = { + "default.national_level_agg": [ + { + "activity_type": "update", + "created_at": mock.ANY, + "details": { + "changes": {"updated_columns": []}, + "reason": "Caused by update of `default.repair_order_details` to " + "v2.0", + "upstream": { + "node": "default.repair_order_details", + "version": "v2.0", + }, + }, + "entity_name": "default.national_level_agg", + "entity_type": "node", + "id": mock.ANY, + "node": "default.national_level_agg", + "post": {"status": "invalid", "version": "v1.0"}, + "pre": {"status": "valid", "version": "v1.0"}, + "user": mock.ANY, + }, + ], + "default.regional_level_agg": [ + { + "activity_type": "update", + "created_at": mock.ANY, + "details": { + "changes": { + "updated_columns": [], + }, + "reason": "Caused by update of `default.repair_order_details` to v2.0", + "upstream": { + "node": "default.repair_order_details", + "version": "v2.0", + }, + }, + "entity_name": "default.regional_level_agg", + "entity_type": "node", + "id": mock.ANY, + "node": "default.regional_level_agg", + "post": {"status": "invalid", "version": "v1.0"}, + "pre": {"status": "valid", "version": "v1.0"}, + "user": mock.ANY, + }, + ], + "default.avg_repair_price": [ + { + "activity_type": "update", + "created_at": mock.ANY, + "details": { + "changes": {"updated_columns": []}, + "reason": "Caused by update of `default.repair_order_details` to " + "v2.0", + "upstream": { + "node": "default.repair_order_details", + "version": "v2.0", + }, + }, + "entity_name": "default.avg_repair_price", + "entity_type": "node", + "id": mock.ANY, + "node": "default.avg_repair_price", + "post": {"status": "invalid", "version": "v1.0"}, + "pre": {"status": "valid", "version": "v1.0"}, + "user": mock.ANY, + }, + ], + "default.regional_repair_efficiency": [ + { + "activity_type": "update", + "created_at": mock.ANY, + "details": { + "changes": { + "updated_columns": [], + }, + "reason": "Caused by update of `default.repair_order_details` to " + "v2.0", + "upstream": { + "node": "default.repair_order_details", + "version": "v2.0", + }, + }, + "entity_name": "default.regional_repair_efficiency", + "entity_type": "node", + "id": mock.ANY, + "node": "default.regional_repair_efficiency", + "post": {"status": "invalid", "version": "v1.0"}, + "pre": {"status": "valid", "version": "v1.0"}, + "user": mock.ANY, + }, + ], + } + + # check all affected nodes and verify that their statuses have been updated + for affected, expected_status in affected_nodes.items(): + response = await client_with_roads.get(f"/nodes/{affected}") + assert response.json()["status"] == expected_status + + # only nodes with a status change will have a history record + if expected_status == NodeStatus.INVALID: + response = await client_with_roads.get(f"/history?node={affected}") + if node_history_events.get(affected): + assert [ + event + for event in response.json() + if event["activity_type"] == "update" + ] == node_history_events.get(affected) + + await client_with_roads.patch( + "/nodes/default.national_level_agg/", + json={ + "query": "SELECT SUM(cast(rd.price AS float) * rd.quantity_v2) AS total_amount " + "FROM default.repair_order_details rd", + }, + ) + response = await client_with_roads.get("/nodes/default.national_level_agg") + data = response.json() + assert data["status"] == "valid" + assert data["columns"] == [ + { + "attributes": [], + "description": None, + "dimension": None, + "dimension_column": None, + "display_name": "Total Amount", + "name": "total_amount", + "partition": None, + "type": "double", + }, + ] + + +@pytest_asyncio.fixture(scope="module") +async def user_one(module__client_with_roads: AsyncClient): + await module__client_with_roads.post( + "/basic/user/", + data={ + "email": "userone@datajunction.io", + "username": "userone", + "password": "userone", + }, + ) + + +@pytest_asyncio.fixture(scope="module") +async def cube(module__client_with_roads: AsyncClient): + await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders", "default.total_repair_cost"], + "dimensions": [ + "default.hard_hat.country", + "default.dispatcher.company_name", + ], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repair_orders_cube", + }, + ) + + +@pytest.mark.asyncio +async def test_update_source_node_new_owner( + module__client_with_roads: AsyncClient, + user_one, +): + """ + Test updating a source node with a new owner + """ + response = await module__client_with_roads.patch( + "/nodes/default.repair_order_details/", + json={ + "columns": [ + {"name": "repair_order_id", "type": "string"}, + ], + "owners": ["dj", "userone"], + }, + ) + assert {owner["username"] for owner in response.json()["owners"]} == { + "dj", + "userone", + } + + +@pytest.mark.asyncio +async def test_update_cube_node_new_owner( + module__client_with_roads: AsyncClient, + user_one, + cube, +): + """ + Test updating a cube with new owners + """ + response = await module__client_with_roads.get("/nodes/default.repair_orders_cube/") + assert response.json()["owners"] == [{"username": "dj"}] + response = await module__client_with_roads.patch( + "/nodes/default.repair_orders_cube/", + json={ + "owners": ["userone"], + }, + ) + assert response.json()["owners"] == [{"username": "userone"}] + + +@pytest.mark.asyncio +async def test_update_node_non_existent_owners( + module__client_with_roads: AsyncClient, +) -> None: + response = await module__client_with_roads.patch( + "/nodes/default.repair_order_details/", + json={ + "columns": [ + {"name": "repair_order_id", "type": "string"}, + ], + "owners": ["nonexistent_user", "dj"], + }, + ) + assert response.json()["message"] == "Users not found: nonexistent_user" diff --git a/datajunction-server/tests/api/notifications_test.py b/datajunction-server/tests/api/notifications_test.py new file mode 100644 index 000000000..637833394 --- /dev/null +++ b/datajunction-server/tests/api/notifications_test.py @@ -0,0 +1,234 @@ +"""Tests for notifications router""" + +import unittest +from unittest import mock + +import pytest +from httpx import AsyncClient + +from datajunction_server.api.notifications import get_notifier +from datajunction_server.database.history import History +from datajunction_server.internal.history import ActivityType, EntityType + + +class TestNotification(unittest.TestCase): + """Test sending notifications""" + + @mock.patch("datajunction_server.api.notifications._logger") + def test_notification(self, mock_logger): + """Test the get_notifier dependency""" + notify = get_notifier() + event = History( + id=1, + entity_name="bar", + entity_type=EntityType.NODE, + activity_type=ActivityType.CREATE, + ) + notify(event) + + mock_logger.debug.assert_any_call( + "Sending notification for event %s", + event, + ) + + +@pytest.mark.asyncio +async def test_notification_subscription( + module__client: AsyncClient, +) -> None: + """ + Test subscribing to notifications. + """ + response = await module__client.post( + "/notifications/subscribe", + json={ + "entity_name": "some_node_name", + "entity_type": EntityType.NODE, + "activity_types": [ActivityType.DELETE], + "alert_types": ["slack", "email"], + }, + ) + assert response.status_code == 201 + assert response.json() == { + "message": "Notification preferences successfully saved for some_node_name", + } + + +@pytest.mark.asyncio +async def test_notification_preferences( + module__client: AsyncClient, +) -> None: + """ + Test retrieving notification preferences. + """ + response = await module__client.post( + "/notifications/subscribe", + json={ + "entity_type": EntityType.NODE, + "entity_name": "some_node_name2", + "activity_types": [ActivityType.REFRESH], + "alert_types": ["slack", "email"], + }, + ) + assert response.status_code == 201 + response = await module__client.get( + "/notifications/", + params={"entity_name": "some_node_name2"}, + ) + assert response.status_code == 200 + assert len(response.json()) > 0 + assert response.json()[0]["entity_name"] == "some_node_name2" + assert response.json()[0]["username"] == "dj" + + +@pytest.mark.asyncio +async def test_notification_preferences_with_filters( + module__client: AsyncClient, +) -> None: + """ + Test retrieving notification preferences with filters. + """ + await module__client.post( + "/notifications/subscribe", + json={ + "entity_type": EntityType.NODE, + "entity_name": "name1", + "activity_types": [ActivityType.STATUS_CHANGE], + "alert_types": ["slack", "email"], + }, + ) + await module__client.post( + "/notifications/subscribe", + json={ + "entity_name": "name2", + "entity_type": EntityType.NODE, + "activity_types": [ActivityType.DELETE], + "alert_types": ["slack", "email"], + }, + ) + response = await module__client.get( + "/notifications/?entity_name=name1", + ) + assert response.status_code == 200 + assert len(response.json()) == 1 + assert response.json()[0]["entity_name"] == "name1" + + response = await module__client.get( + "/notifications/?entity_type=node", + ) + assert response.status_code == 200 + assert len(response.json()) > 1 + assert response.json()[0]["entity_type"] == "node" + + +@pytest.mark.asyncio +async def test_notification_unsubscribe( + module__client: AsyncClient, +) -> None: + """ + Test unsubscribing from notifications. + """ + # Subscribe + response = await module__client.post( + "/notifications/subscribe", + json={ + "entity_name": "some_node_name3", + "entity_type": EntityType.NODE, + "activity_types": [ActivityType.DELETE], + "alert_types": ["slack", "email"], + }, + ) + assert response.status_code == 201 + + # Unsubscribe + response = await module__client.delete( + "/notifications/unsubscribe", + params={ + "entity_type": EntityType.NODE, + "entity_name": "some_node_name3", + }, + ) + assert response.status_code == 200 + assert response.json() == { + "message": "Notification preferences successfully removed for some_node_name3", + } + + # Verify that the notification preference is actually removed + response = await module__client.get("/notifications/") + assert response.status_code == 200 + assert all(pref["entity_name"] != "some_node_name3" for pref in response.json()) + + +@pytest.mark.asyncio +async def test_notification_unsubscribe_not_found( + module__client: AsyncClient, +) -> None: + """ + Test notification preference not found when unsubscribing + """ + # Unsubscribe to a notification that doesn't exist + response = await module__client.delete( + "/notifications/unsubscribe", + params={ + "entity_type": EntityType.NODE, + "entity_name": "does_not_exist", + }, + ) + assert response.status_code == 404 + + +@pytest.mark.asyncio +async def test_notification_list_users( + module__client: AsyncClient, +) -> None: + """ + Test listing all users subscribed to a specific notification + """ + response = await module__client.post( + "/notifications/subscribe", + json={ + "entity_type": EntityType.NODE, + "entity_name": "some_node_name4", + "activity_types": [ActivityType.REFRESH], + "alert_types": ["slack", "email"], + }, + ) + assert response.status_code == 201 + response = await module__client.get( + "/notifications/users", + params={"entity_name": "some_node_name4", "entity_type": EntityType.NODE}, + ) + assert response.status_code == 200 + assert len(response.json()) > 0 + assert response.json()[0] == "dj" + + +@pytest.mark.asyncio +async def test_mark_notifications_read( + module__client: AsyncClient, +) -> None: + """ + Test marking notifications as read updates the user's + last_viewed_notifications_at timestamp. + """ + # Mark notifications as read + response = await module__client.post("/notifications/mark-read") + assert response.status_code == 200 + + data = response.json() + assert data["message"] == "Notifications marked as read" + assert "last_viewed_at" in data + + # Verify the timestamp is a valid ISO format string + from datetime import datetime + + last_viewed_at = datetime.fromisoformat( + data["last_viewed_at"].replace("Z", "+00:00"), + ) + assert last_viewed_at is not None + + # Verify the user's last_viewed_notifications_at is updated via whoami + whoami_response = await module__client.get("/whoami/") + assert whoami_response.status_code == 200 + whoami_data = whoami_response.json() + assert whoami_data.get("last_viewed_notifications_at") is not None diff --git a/datajunction-server/tests/api/preaggregations_test.py b/datajunction-server/tests/api/preaggregations_test.py new file mode 100644 index 000000000..a113646e0 --- /dev/null +++ b/datajunction-server/tests/api/preaggregations_test.py @@ -0,0 +1,2167 @@ +"""Tests for /preaggs API endpoints.""" + +from unittest.mock import MagicMock + +import pytest +import pytest_asyncio +from httpx import AsyncClient +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload + +from datajunction_server.database.preaggregation import PreAggregation +from datajunction_server.models.preaggregation import WorkflowUrl +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.partition import Partition +from datajunction_server.models.materialization import MaterializationStrategy +from datajunction_server.models.partition import Granularity, PartitionType +from datajunction_server.utils import get_query_service_client + + +@pytest.fixture +def mock_query_service_client(client_with_build_v3): + """ + Provides a mock query service client for tests that need to mock QS calls. + + Sets up the FastAPI dependency override so the mock is used by the API. + """ + mock_client = MagicMock() + # Override the FastAPI dependency + client_with_build_v3.app.dependency_overrides[get_query_service_client] = ( + lambda: mock_client + ) + yield mock_client + # Clean up - remove the override (will be cleared by client fixture anyway) + if get_query_service_client in client_with_build_v3.app.dependency_overrides: + del client_with_build_v3.app.dependency_overrides[get_query_service_client] + + +@pytest.fixture +def mock_qs_for_preaggs(client_with_preaggs): + """ + Provides a mock query service client for tests using client_with_preaggs fixture. + + Sets up the FastAPI dependency override so the mock is used by the API. + """ + mock_client = MagicMock() + client = client_with_preaggs["client"] + # Override the FastAPI dependency + client.app.dependency_overrides[get_query_service_client] = lambda: mock_client + yield mock_client + # Clean up + if get_query_service_client in client.app.dependency_overrides: + del client.app.dependency_overrides[get_query_service_client] + + +async def _set_temporal_partition_via_session( + session: AsyncSession, + node_name: str, + column_name: str, + granularity: str = "day", + format_: str = "yyyyMMdd", +) -> None: + """ + Set a temporal partition on a column directly via the session. + + This avoids the API's response serialization issue with module-scoped fixtures. + """ + # Get the node with columns loaded + result = await session.execute( + select(Node) + .options( + joinedload(Node.current).options(joinedload(NodeRevision.columns)), + ) + .where(Node.name == node_name), + ) + node = result.unique().scalar_one() + + # Find the column + column = next( + (c for c in node.current.columns if c.name == column_name), + None, + ) + if column is None: + raise ValueError(f"Column {column_name} not found on node {node_name}") + + # Check if partition already exists + if column.partition is not None: + # Update existing partition + column.partition.type_ = PartitionType.TEMPORAL + column.partition.granularity = Granularity[granularity.upper()] + column.partition.format = format_ + else: + # Create new partition + partition = Partition( + column=column, + type_=PartitionType.TEMPORAL, + granularity=Granularity[granularity.upper()], + format=format_, + ) + session.add(partition) + + await session.commit() + + +async def _plan_preagg( + client: AsyncClient, + metrics: list[str], + dimensions: list[str], + strategy: str | None = None, + schedule: str | None = None, + lookback_window: str | None = None, +) -> dict: + """Helper to create a preagg via /preaggs/plan endpoint.""" + payload = {"metrics": metrics, "dimensions": dimensions} + if strategy: + payload["strategy"] = strategy # type: ignore + if schedule: + payload["schedule"] = schedule # type: ignore + if lookback_window: + payload["lookback_window"] = lookback_window # type: ignore + response = await client.post("/preaggs/plan", json=payload) + assert response.status_code == 201, f"Failed to plan preagg: {response.text}" + return response.json()["preaggs"][0] + + +@pytest_asyncio.fixture +async def client_with_preaggs( + client_with_build_v3: AsyncClient, +): + """ + Creates pre-aggregations for testing using BUILD_V3 examples. + + Uses /preaggs/plan API to create preaggs, which is more realistic + and ensures consistency with the actual API behavior. + + NOTE: Gets session from client's dependency override to ensure we use + the SAME session that the client uses, avoiding event loop binding issues + with pytest-xdist in Python 3.11. + """ + client = client_with_build_v3 + + # Get session from the client's dependency override - this ensures we use + # the same session that the API handlers use, avoiding event loop issues + from datajunction_server.utils import get_session + + session = client.app.dependency_overrides[get_session]() + + # preagg1: Basic preagg with FULL strategy, single grain + # total_revenue + total_quantity by status + preagg1_data = await _plan_preagg( + client, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.order_details.status"], + strategy="full", + schedule="0 0 * * *", + ) + + # preagg2: Multi-grain preagg (status + category) + # total_revenue + avg_unit_price by status and category + preagg2_data = await _plan_preagg( + client, + metrics=["v3.total_revenue", "v3.avg_unit_price"], + dimensions=["v3.order_details.status", "v3.product.category"], + strategy="full", + schedule="0 * * * *", + ) + + # preagg3: Same grain as preagg1 but different metrics (for grain group hash testing) + # max_unit_price by status + preagg3_data = await _plan_preagg( + client, + metrics=["v3.max_unit_price"], + dimensions=["v3.order_details.status"], + strategy="full", + ) + + # preagg4: No strategy set (for testing "requires strategy" validation) + # total_revenue by category + preagg4_data = await _plan_preagg( + client, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + + # preagg5-10: Additional preaggs for tests that modify state + # These use different dimension combinations to avoid grain_group_hash conflicts + preagg5_data = await _plan_preagg( + client, + metrics=["v3.order_count"], + dimensions=["v3.order_details.status"], + strategy="full", + schedule="0 0 * * *", + ) + preagg6_data = await _plan_preagg( + client, + metrics=["v3.min_unit_price"], + dimensions=["v3.order_details.status"], + strategy="full", + schedule="0 0 * * *", + ) + preagg7_data = await _plan_preagg( + client, + metrics=["v3.total_revenue"], + dimensions=["v3.customer.customer_id"], + ) + preagg8_data = await _plan_preagg( + client, + metrics=["v3.page_view_count"], + dimensions=["v3.product.category"], + strategy="full", + schedule="0 0 * * *", + ) + preagg9_data = await _plan_preagg( + client, + metrics=["v3.session_count"], + dimensions=["v3.product.category"], + strategy="full", + schedule="0 0 * * *", + ) + preagg10_data = await _plan_preagg( + client, + metrics=["v3.visitor_count"], + dimensions=["v3.product.category"], + ) + + # Fetch actual PreAggregation objects from DB for tests that need them + preagg1 = await session.get(PreAggregation, preagg1_data["id"]) + preagg2 = await session.get(PreAggregation, preagg2_data["id"]) + preagg3 = await session.get(PreAggregation, preagg3_data["id"]) + preagg4 = await session.get(PreAggregation, preagg4_data["id"]) + preagg5 = await session.get(PreAggregation, preagg5_data["id"]) + preagg6 = await session.get(PreAggregation, preagg6_data["id"]) + preagg7 = await session.get(PreAggregation, preagg7_data["id"]) + preagg8 = await session.get(PreAggregation, preagg8_data["id"]) + preagg9 = await session.get(PreAggregation, preagg9_data["id"]) + preagg10 = await session.get(PreAggregation, preagg10_data["id"]) + + yield { + "client": client, + "session": session, + "preagg1": preagg1, + "preagg2": preagg2, + "preagg3": preagg3, + "preagg4": preagg4, + "preagg5": preagg5, + "preagg6": preagg6, + "preagg7": preagg7, + "preagg8": preagg8, + "preagg9": preagg9, + "preagg10": preagg10, + } + + +@pytest.mark.xdist_group(name="preaggregations") +class TestListPreaggregations: + """Tests for GET /preaggs/ endpoint.""" + + @pytest.mark.asyncio + async def test_list_all_preaggs(self, client_with_preaggs): + """Test listing all pre-aggregations.""" + client = client_with_preaggs["client"] + response = await client.get("/preaggs/") + + assert response.status_code == 200 + data = response.json() + + assert "items" in data + assert "total" in data + assert "limit" in data + assert "offset" in data + assert len(data["items"]) >= 3 + + @pytest.mark.asyncio + async def test_list_preaggs_by_node_name(self, client_with_preaggs): + """Test filtering pre-aggregations by node name.""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={"node_name": "v3.order_details"}, + ) + + assert response.status_code == 200 + data = response.json() + + assert len(data["items"]) >= 3 + for item in data["items"]: + assert item["node_name"] == "v3.order_details" + + @pytest.mark.asyncio + async def test_list_preaggs_by_grain(self, client_with_preaggs): + """Test filtering pre-aggregations by grain columns.""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={"grain": "v3.order_details.status"}, + ) + + assert response.status_code == 200 + data = response.json() + + # Should get preaggs that have status as a grain column + matching_items = [ + item + for item in data["items"] + if "v3.order_details.status" in item["grain_columns"] + ] + assert len(matching_items) >= 2 + + @pytest.mark.asyncio + async def test_list_preaggs_by_measures(self, client_with_preaggs): + """Test filtering pre-aggregations by measures (superset match).""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={"measures": "total_revenue"}, + ) + + assert response.status_code == 200 + data = response.json() + + # Should get preaggs that have total_revenue measure + for item in data["items"]: + measure_names = {m["name"] for m in item["measures"]} + assert "total_revenue" in measure_names + + @pytest.mark.asyncio + async def test_list_preaggs_by_multiple_measures(self, client_with_preaggs): + """Test filtering by multiple measures (all must be present).""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={"measures": "total_revenue,total_quantity"}, + ) + + assert response.status_code == 200 + data = response.json() + + # Should only get preagg1 (has both measures) + for item in data["items"]: + measure_names = {m["name"] for m in item["measures"]} + assert "total_revenue" in measure_names + assert "total_quantity" in measure_names + + @pytest.mark.asyncio + async def test_list_preaggs_by_grain_group_hash(self, client_with_preaggs): + """Test filtering by grain group hash.""" + client = client_with_preaggs["client"] + preagg1 = client_with_preaggs["preagg1"] + + response = await client.get( + "/preaggs/", + params={"grain_group_hash": preagg1.grain_group_hash}, + ) + + assert response.status_code == 200 + data = response.json() + + # Should get preagg1 and preagg3 (same grain group hash) + assert len(data["items"]) >= 2 + for item in data["items"]: + assert item["grain_group_hash"] == preagg1.grain_group_hash + + @pytest.mark.asyncio + async def test_list_preaggs_by_status_pending(self, client_with_preaggs): + """Test filtering by status='pending' (no availability).""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={"status": "pending"}, + ) + + assert response.status_code == 200 + data = response.json() + + # All our test pre-aggs are pending (no availability) + for item in data["items"]: + assert item["status"] == "pending" + + @pytest.mark.asyncio + async def test_list_preaggs_invalid_status(self, client_with_preaggs): + """Test that invalid status returns error.""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={"status": "invalid"}, + ) + + assert response.status_code == 404 + + @pytest.mark.asyncio + async def test_list_preaggs_pagination(self, client_with_preaggs): + """Test pagination parameters.""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={"limit": 2, "offset": 0}, + ) + + assert response.status_code == 200 + data = response.json() + + assert data["limit"] == 2 + assert data["offset"] == 0 + assert len(data["items"]) <= 2 + + @pytest.mark.asyncio + async def test_list_preaggs_node_not_found(self, client_with_preaggs): + """Test that non-existent node returns error.""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={"node_name": "nonexistent.node"}, + ) + + assert response.status_code == 404 + + @pytest.mark.asyncio + async def test_list_preaggs_by_node_version(self, client_with_preaggs): + """Test filtering pre-aggregations by specific node version.""" + client = client_with_preaggs["client"] + + # First get the current version + node_response = await client.get("/nodes/v3.order_details/") + assert node_response.status_code == 200 + current_version = node_response.json()["version"] + + # Filter by version should return our preaggs + response = await client.get( + "/preaggs/", + params={ + "node_name": "v3.order_details", + "node_version": current_version, + }, + ) + + assert response.status_code == 200 + data = response.json() + assert len(data["items"]) >= 1 + for item in data["items"]: + assert item["node_version"] == current_version + + @pytest.mark.asyncio + async def test_list_preaggs_invalid_node_version(self, client_with_preaggs): + """Test that non-existent node version returns error.""" + client = client_with_preaggs["client"] + response = await client.get( + "/preaggs/", + params={ + "node_name": "v3.order_details", + "node_version": "v99.99.99", + }, + ) + + assert response.status_code == 404 + assert "Version" in response.json()["message"] + + @pytest.mark.asyncio + async def test_list_preaggs_include_stale(self, client_with_preaggs): + """ + Test include_stale parameter returns pre-aggs from all node versions. + + This test: + 1. Gets current pre-aggs for a node + 2. Updates the node to create a new version (making existing pre-aggs stale) + 3. Creates new pre-aggs on the new version + 4. Verifies include_stale=false (default) only returns current version pre-aggs + 5. Verifies include_stale=true returns pre-aggs from all versions + """ + client = client_with_preaggs["client"] + + # Get current version and pre-aggs for v3.order_details + node_response = await client.get("/nodes/v3.order_details/") + assert node_response.status_code == 200 + original_version = node_response.json()["version"] + + # Get pre-aggs for current version (without include_stale) + current_response = await client.get( + "/preaggs/", + params={"node_name": "v3.order_details"}, + ) + assert current_response.status_code == 200 + original_preagg_count = current_response.json()["total"] + assert original_preagg_count >= 1 + original_preagg_ids = {item["id"] for item in current_response.json()["items"]} + + # Update the node to create a new version (this makes existing pre-aggs stale) + update_response = await client.patch( + "/nodes/v3.order_details/", + json={"description": "Updated description to create new version"}, + ) + assert update_response.status_code == 200 + new_version = update_response.json()["version"] + assert new_version != original_version, "Node version should have changed" + + # Create a new pre-agg on the new version + plan_response = await client.post( + "/preaggs/plan", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.order_id"], # Different grain + }, + ) + assert plan_response.status_code == 201 + new_preagg_id = plan_response.json()["preaggs"][0]["id"] + + # Without include_stale (default): should only return new version pre-aggs + default_response = await client.get( + "/preaggs/", + params={"node_name": "v3.order_details"}, + ) + assert default_response.status_code == 200 + default_ids = {item["id"] for item in default_response.json()["items"]} + + # Should include the new pre-agg + assert new_preagg_id in default_ids + # Should NOT include original pre-aggs (they're on old version) + assert len(default_ids & original_preagg_ids) == 0, ( + "Default (no include_stale) should not return stale pre-aggs" + ) + + # With include_stale=true: should return pre-aggs from ALL versions + stale_response = await client.get( + "/preaggs/", + params={"node_name": "v3.order_details", "include_stale": "true"}, + ) + assert stale_response.status_code == 200 + stale_data = stale_response.json() + stale_ids = {item["id"] for item in stale_data["items"]} + + # Should include the new pre-agg + assert new_preagg_id in stale_ids + # Should also include original pre-aggs (stale ones) + assert original_preagg_ids <= stale_ids, ( + "include_stale=true should return stale pre-aggs" + ) + # Total should be more than just current version + assert stale_data["total"] > len(default_ids) + + # Verify versions are different for stale vs current + versions_in_response = {item["node_version"] for item in stale_data["items"]} + assert original_version in versions_in_response + assert new_version in versions_in_response + + @pytest.mark.asyncio + async def test_list_preaggs_include_stale_false_explicit(self, client_with_preaggs): + """Test that include_stale=false behaves same as default (no param).""" + client = client_with_preaggs["client"] + + # Get pre-aggs with default (no include_stale param) + default_response = await client.get( + "/preaggs/", + params={"node_name": "v3.order_details"}, + ) + assert default_response.status_code == 200 + + # Get pre-aggs with explicit include_stale=false + explicit_response = await client.get( + "/preaggs/", + params={"node_name": "v3.order_details", "include_stale": "false"}, + ) + assert explicit_response.status_code == 200 + + # Should return same results + default_ids = {item["id"] for item in default_response.json()["items"]} + explicit_ids = {item["id"] for item in explicit_response.json()["items"]} + assert default_ids == explicit_ids + + +@pytest.mark.xdist_group(name="preaggregations") +class TestGetPreaggregationById: + """Tests for GET /preaggs/{preagg_id} endpoint.""" + + @pytest.mark.asyncio + async def test_get_preagg_by_id(self, client_with_preaggs): + """Test getting a pre-aggregation by ID.""" + client = client_with_preaggs["client"] + preagg1 = client_with_preaggs["preagg1"] + + response = await client.get(f"/preaggs/{preagg1.id}") + + assert response.status_code == 200 + data = response.json() + + assert data["id"] == preagg1.id + assert data["node_revision_id"] == preagg1.node_revision_id + assert data["grain_columns"] == preagg1.grain_columns + assert data["measures"] == [ + { + "aggregation": "SUM", + "expr_hash": "83632b779d87", + "expression": "line_total", + "merge": "SUM", + "name": "line_total_sum_e1f61696", + "rule": { + "level": None, + "type": "full", + }, + "used_by_metrics": [ + { + "display_name": "Aov Growth Index", + "name": "v3.aov_growth_index", + }, + { + "display_name": "Avg Order Value", + "name": "v3.avg_order_value", + }, + { + "display_name": "Efficiency Ratio", + "name": "v3.efficiency_ratio", + }, + { + "display_name": "Mom Revenue Change", + "name": "v3.mom_revenue_change", + }, + { + "display_name": "Revenue Per Customer", + "name": "v3.revenue_per_customer", + }, + { + "display_name": "Revenue Per Page View", + "name": "v3.revenue_per_page_view", + }, + { + "display_name": "Revenue Per Visitor", + "name": "v3.revenue_per_visitor", + }, + { + "display_name": "Total Revenue", + "name": "v3.total_revenue", + }, + { + "display_name": "Trailing 7D Revenue", + "name": "v3.trailing_7d_revenue", + }, + { + "display_name": "Trailing Wow Revenue Change", + "name": "v3.trailing_wow_revenue_change", + }, + { + "display_name": "Wow Aov Change", + "name": "v3.wow_aov_change", + }, + { + "display_name": "Wow Revenue Change", + "name": "v3.wow_revenue_change", + }, + ], + }, + { + "aggregation": "SUM", + "expr_hash": "221d2a4bfdae", + "expression": "quantity", + "merge": "SUM", + "name": "quantity_sum_06b64d2e", + "rule": { + "level": None, + "type": "full", + }, + "used_by_metrics": [ + { + "display_name": "Avg Items Per Order", + "name": "v3.avg_items_per_order", + }, + { + "display_name": "Total Quantity", + "name": "v3.total_quantity", + }, + ], + }, + ] + assert data["sql"] == preagg1.sql + assert data["grain_group_hash"] == preagg1.grain_group_hash + assert data["strategy"] == preagg1.strategy.value + assert data["schedule"] == preagg1.schedule + assert data["status"] == "pending" + + @pytest.mark.asyncio + async def test_get_preagg_not_found(self, client_with_preaggs): + """Test getting non-existent pre-aggregation returns 404.""" + client = client_with_preaggs["client"] + + response = await client.get("/preaggs/99999999") + + assert response.status_code == 404 + assert "99999999" in response.json()["message"] + + +@pytest.mark.xdist_group(name="preaggregations") +class TestPreaggregationResponseFields: + """Tests for pre-aggregation response field completeness.""" + + @pytest.mark.asyncio + async def test_response_contains_all_fields(self, client_with_preaggs): + """Test that response contains all expected fields.""" + client = client_with_preaggs["client"] + preagg2 = client_with_preaggs["preagg2"] + + response = await client.get(f"/preaggs/{preagg2.id}") + + assert response.status_code == 200 + data = response.json() + + # Check all expected fields are present + expected_fields = [ + "id", + "node_revision_id", + "node_name", + "node_version", + "grain_columns", + "measures", + "sql", + "grain_group_hash", + "strategy", + "schedule", + "lookback_window", + "status", + "materialized_table_ref", + "max_partition", + "created_at", + "updated_at", + ] + + for field in expected_fields: + assert field in data, f"Missing field: {field}" + + @pytest.mark.asyncio + async def test_response_materialization_config(self, client_with_preaggs): + """Test materialization config fields are correctly returned.""" + client = client_with_preaggs["client"] + preagg2 = client_with_preaggs["preagg2"] + + response = await client.get(f"/preaggs/{preagg2.id}") + + assert response.status_code == 200 + data = response.json() + + # preagg2 is created with FULL strategy and hourly schedule + assert data["strategy"] == "full" + assert data["schedule"] == "0 * * * *" + # lookback_window is not set for FULL strategy + assert data["lookback_window"] is None + + +class TestPlanPreaggregations: + """Tests for POST /preaggs/plan endpoint.""" + + @pytest.mark.asyncio + async def test_plan_preaggs_basic(self, client_with_build_v3: AsyncClient): + """Test basic plan endpoint creates pre-aggs from metrics + dims.""" + response = await client_with_build_v3.post( + "/preaggs/plan", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 201 + data = response.json() + + assert "preaggs" in data + assert len(data["preaggs"]) >= 1 + + # Check first pre-agg has expected structure + preagg = data["preaggs"][0] + assert "id" in preagg + assert "sql" in preagg + assert "measures" in preagg + assert "grain_columns" in preagg + assert preagg["status"] == "pending" + + @pytest.mark.asyncio + async def test_plan_preaggs_with_strategy( + self, + client_with_build_v3: AsyncClient, + ): + """Test plan endpoint with materialization strategy.""" + # Use different dimensions than test_plan_preaggs_basic to avoid conflict + # Use FULL strategy since source node may not have temporal partition columns + response = await client_with_build_v3.post( + "/preaggs/plan", + json={ + "metrics": ["v3.total_quantity"], + "dimensions": ["v3.product.category"], + "strategy": "full", + "schedule": "0 0 * * *", + }, + ) + + assert response.status_code == 201 + data = response.json() + + assert len(data["preaggs"]) >= 1 + preagg = data["preaggs"][0] + assert preagg["strategy"] == "full" + assert preagg["schedule"] == "0 0 * * *" + + @pytest.mark.asyncio + async def test_plan_preaggs_invalid_strategy( + self, + client_with_build_v3: AsyncClient, + ): + """Test that invalid strategy returns error.""" + response = await client_with_build_v3.post( + "/preaggs/plan", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "strategy": "view", # Not valid for pre-aggs + }, + ) + + # DJInvalidInputException returns 422 Unprocessable Entity + assert response.status_code == 422 + assert "Invalid strategy" in response.json()["message"] + + @pytest.mark.asyncio + async def test_plan_preaggs_returns_existing( + self, + client_with_build_v3: AsyncClient, + ): + """Test that calling plan twice returns existing pre-agg.""" + # First call creates + response1 = await client_with_build_v3.post( + "/preaggs/plan", + json={ + "metrics": ["v3.avg_unit_price"], + "dimensions": ["v3.customer.customer_id"], + }, + ) + assert response1.status_code == 201 + data1 = response1.json() + preagg_id_1 = data1["preaggs"][0]["id"] + + # Second call should return same pre-agg + response2 = await client_with_build_v3.post( + "/preaggs/plan", + json={ + "metrics": ["v3.avg_unit_price"], + "dimensions": ["v3.customer.customer_id"], + }, + ) + assert response2.status_code == 201 + data2 = response2.json() + preagg_id_2 = data2["preaggs"][0]["id"] + + assert preagg_id_1 == preagg_id_2 + + +@pytest.mark.xdist_group(name="preaggregations") +class TestUpdatePreaggregationAvailability: + """Tests for POST /preaggs/{id}/availability/ endpoint.""" + + @pytest.mark.asyncio + async def test_update_availability_creates_new(self, client_with_preaggs): + """Test updating availability creates new availability state.""" + client = client_with_preaggs["client"] + preagg1 = client_with_preaggs["preagg1"] + + response = await client.post( + f"/preaggs/{preagg1.id}/availability/", + json={ + "catalog": "analytics", + "schema": "materialized", + "table": "preagg_test", + "valid_through_ts": 1704067200, + "max_temporal_partition": ["2024", "01", "01"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + assert data["status"] == "active" + assert data["materialized_table_ref"] == "analytics.materialized.preagg_test" + assert data["max_partition"] == ["2024", "01", "01"] + + @pytest.mark.asyncio + async def test_update_availability_not_found(self, client_with_preaggs): + """Test updating non-existent pre-agg returns 404.""" + client = client_with_preaggs["client"] + + response = await client.post( + "/preaggs/99999999/availability/", + json={ + "catalog": "analytics", + "schema": "materialized", + "table": "preagg_test", + "valid_through_ts": 1704067200, + }, + ) + + assert response.status_code == 404 + + +@pytest.mark.xdist_group(name="preaggregations") +class TestMaterializePreaggregation: + """Tests for POST /preaggs/{id}/materialize endpoint.""" + + @pytest.mark.asyncio + async def test_materialize_preagg_requires_strategy(self, client_with_preaggs): + """Test that materialization requires strategy to be set.""" + client = client_with_preaggs["client"] + preagg4 = client_with_preaggs["preagg4"] + + # preagg4 has no strategy set + response = await client.post(f"/preaggs/{preagg4.id}/materialize") + + assert response.status_code == 422 + assert "Strategy must be set" in response.json()["message"] + + @pytest.mark.asyncio + async def test_materialize_preagg_not_found(self, client_with_preaggs): + """Test materializing non-existent pre-agg returns 404.""" + client = client_with_preaggs["client"] + + response = await client.post("/preaggs/99999999/materialize") + + assert response.status_code == 404 + + @pytest.mark.asyncio + async def test_materialize_preagg_success( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test successful materialization call to query service.""" + from datajunction_server.database.materialization import MaterializationStrategy + + client = client_with_preaggs["client"] + preagg1 = client_with_preaggs["preagg1"] + + # preagg1 already has strategy=FULL and schedule set in fixture + + # Mock the materialize_preagg method on the query service client + mock_result = { + "urls": ["http://scheduler/job/123.main"], + "output_tables": ["analytics.materialized.preagg_test"], + } + mock_qs_for_preaggs.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg1.id}/materialize") + + assert response.status_code == 200 + data = response.json() + + # Response includes the pre-agg info + assert data["id"] == preagg1.id + assert data["strategy"] == "full" + + # Verify query service was called + mock_qs_for_preaggs.materialize_preagg.assert_called_once() + call_args = mock_qs_for_preaggs.materialize_preagg.call_args + mat_input = call_args[0][0] # First positional arg + + # Verify the input structure + assert mat_input.preagg_id == preagg1.id + assert "preagg" in mat_input.output_table + assert mat_input.strategy == MaterializationStrategy.FULL + # temporal_partitions should be a list (may be empty if no partitions) + assert isinstance(mat_input.temporal_partitions, list) + + +@pytest.mark.xdist_group(name="preaggregations") +class TestUpdatePreaggregationConfig: + """Tests for PATCH /preaggs/{id}/config endpoint.""" + + @pytest.mark.asyncio + async def test_update_config_strategy(self, client_with_preaggs): + """Test updating pre-agg strategy via config endpoint.""" + client = client_with_preaggs["client"] + preagg4 = client_with_preaggs["preagg4"] + + # preagg4 starts with no strategy + response = await client.patch( + f"/preaggs/{preagg4.id}/config", + json={"strategy": "full"}, + ) + + assert response.status_code == 200 + data = response.json() + assert data["id"] == preagg4.id + assert data["strategy"] == "full" + + @pytest.mark.asyncio + async def test_update_config_schedule(self, client_with_preaggs): + """Test updating pre-agg schedule via config endpoint.""" + client = client_with_preaggs["client"] + preagg4 = client_with_preaggs["preagg4"] + + response = await client.patch( + f"/preaggs/{preagg4.id}/config", + json={"schedule": "0 6 * * *"}, + ) + + assert response.status_code == 200 + data = response.json() + assert data["schedule"] == "0 6 * * *" + + @pytest.mark.asyncio + async def test_update_config_lookback_window(self, client_with_preaggs): + """Test updating pre-agg lookback window via config endpoint.""" + client = client_with_preaggs["client"] + preagg4 = client_with_preaggs["preagg4"] + + response = await client.patch( + f"/preaggs/{preagg4.id}/config", + json={"lookback_window": "7 days"}, + ) + + assert response.status_code == 200 + data = response.json() + assert data["lookback_window"] == "7 days" + + @pytest.mark.asyncio + async def test_update_config_multiple_fields(self, client_with_preaggs): + """Test updating multiple config fields at once.""" + client = client_with_preaggs["client"] + preagg4 = client_with_preaggs["preagg4"] + + response = await client.patch( + f"/preaggs/{preagg4.id}/config", + json={ + "strategy": "incremental_time", + "schedule": "0 0 * * *", + "lookback_window": "3 days", + }, + ) + + assert response.status_code == 200 + data = response.json() + assert data["strategy"] == "incremental_time" + assert data["schedule"] == "0 0 * * *" + assert data["lookback_window"] == "3 days" + + @pytest.mark.asyncio + async def test_update_config_not_found(self, client_with_preaggs): + """Test updating non-existent pre-agg returns 404.""" + client = client_with_preaggs["client"] + + response = await client.patch( + "/preaggs/99999999/config", + json={"strategy": "full"}, + ) + + assert response.status_code == 404 + + +@pytest.mark.xdist_group(name="preaggregations") +class TestDeletePreaggWorkflow: + """Tests for DELETE /preaggs/{id}/workflow endpoint.""" + + @pytest.mark.asyncio + async def test_deactivate_workflow_no_workflow_exists(self, client_with_preaggs): + """Test deactivating when no workflow exists returns appropriate response.""" + client = client_with_preaggs["client"] + preagg4 = client_with_preaggs["preagg4"] + + # preagg4 has no workflow URL set + response = await client.delete(f"/preaggs/{preagg4.id}/workflow") + + assert response.status_code == 200 + data = response.json() + assert data["status"] == "none" + assert data["workflow_url"] is None + assert "No workflow exists" in data["message"] + + @pytest.mark.asyncio + async def test_deactivate_workflow_success( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test successfully deactivating a workflow.""" + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg5 = client_with_preaggs["preagg5"] # Use dedicated preagg + + # Set up workflow URL on preagg5 + preagg = await session.get(PreAggregation, preagg5.id) + preagg.workflow_urls = [ + WorkflowUrl(label="scheduled", url="http://scheduler/workflow/test-123"), + ] + preagg.workflow_status = "active" + await session.commit() + + # Mock the deactivate method + mock_qs_for_preaggs.deactivate_preagg_workflow.return_value = { + "status": "paused", + } + + response = await client.delete(f"/preaggs/{preagg5.id}/workflow") + + assert response.status_code == 200 + data = response.json() + # Implementation clears all workflow state after deactivation + assert data["status"] == "none" + assert data["workflow_url"] is None + assert "deactivated" in data["message"].lower() + + # Verify query service was called + mock_qs_for_preaggs.deactivate_preagg_workflow.assert_called_once() + + @pytest.mark.asyncio + async def test_deactivate_workflow_not_found(self, client_with_preaggs): + """Test deactivating workflow for non-existent pre-agg returns 404.""" + client = client_with_preaggs["client"] + + response = await client.delete("/preaggs/99999999/workflow") + + assert response.status_code == 404 + + +@pytest.mark.xdist_group(name="preaggregations") +class TestBulkDeactivateWorkflows: + """Tests for DELETE /preaggs/workflows endpoint (bulk deactivation).""" + + @pytest.mark.asyncio + async def test_bulk_deactivate_no_active_workflows(self, client_with_preaggs): + """Test bulk deactivate when no active workflows exist returns empty result.""" + client = client_with_preaggs["client"] + + # None of the preaggs have active workflows by default + response = await client.delete( + "/preaggs/workflows", + params={"node_name": "v3.order_details"}, + ) + + assert response.status_code == 200 + data = response.json() + assert data["deactivated_count"] == 0 + assert data["deactivated"] == [] + assert "No active workflows found" in data["message"] + + @pytest.mark.asyncio + async def test_bulk_deactivate_node_not_found(self, client_with_preaggs): + """Test bulk deactivate for non-existent node returns 404.""" + client = client_with_preaggs["client"] + + response = await client.delete( + "/preaggs/workflows", + params={"node_name": "nonexistent.node"}, + ) + + assert response.status_code == 404 + + @pytest.mark.asyncio + async def test_bulk_deactivate_success( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test successfully bulk deactivating workflows for a node.""" + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg8 = client_with_preaggs["preagg8"] + preagg9 = client_with_preaggs["preagg9"] + + # Set up active workflows on preagg8 and preagg9 (both use v3.product.category) + preagg8_obj = await session.get(PreAggregation, preagg8.id) + preagg8_obj.workflow_urls = [ + WorkflowUrl(label="scheduled", url="http://scheduler/workflow/preagg8"), + ] + preagg8_obj.workflow_status = "active" + + preagg9_obj = await session.get(PreAggregation, preagg9.id) + preagg9_obj.workflow_urls = [ + WorkflowUrl(label="scheduled", url="http://scheduler/workflow/preagg9"), + ] + preagg9_obj.workflow_status = "active" + await session.commit() + + # Mock the deactivate method + mock_qs_for_preaggs.deactivate_preagg_workflow.return_value = { + "status": "paused", + } + + # Bulk deactivate all workflows for v3.page_views_enriched node + # (preagg8 and preagg9 are based on metrics from v3.page_views_enriched) + response = await client.delete( + "/preaggs/workflows", + params={"node_name": "v3.page_views_enriched"}, + ) + + assert response.status_code == 200 + data = response.json() + assert data["deactivated_count"] == 2 + assert len(data["deactivated"]) == 2 + + # Verify query service was called twice + assert mock_qs_for_preaggs.deactivate_preagg_workflow.call_count == 2 + + # Verify the deactivated IDs include our preaggs + deactivated_ids = {item["id"] for item in data["deactivated"]} + assert preagg8.id in deactivated_ids + assert preagg9.id in deactivated_ids + + @pytest.mark.asyncio + async def test_bulk_deactivate_stale_only( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test bulk deactivate with stale_only=true only deactivates stale preaggs.""" + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg10 = client_with_preaggs["preagg10"] + + # Set up active workflow on preagg10 + preagg10_obj = await session.get(PreAggregation, preagg10.id) + preagg10_obj.workflow_urls = [ + WorkflowUrl(label="scheduled", url="http://scheduler/workflow/preagg10"), + ] + preagg10_obj.workflow_status = "active" + await session.commit() + + # With stale_only=true, since all preaggs are on current revision, + # nothing should be deactivated + response = await client.delete( + "/preaggs/workflows", + params={"node_name": "v3.page_views_enriched", "stale_only": "true"}, + ) + + assert response.status_code == 200 + data = response.json() + # No stale preaggs exist (all are on current revision) + assert data["deactivated_count"] == 0 + assert "No active workflows found" in data["message"] + + # Verify query service was NOT called + mock_qs_for_preaggs.deactivate_preagg_workflow.assert_not_called() + + @pytest.mark.asyncio + async def test_bulk_deactivate_missing_node_name(self, client_with_preaggs): + """Test bulk deactivate requires node_name parameter.""" + client = client_with_preaggs["client"] + + response = await client.delete("/preaggs/workflows") + + # FastAPI returns 422 for missing required query params + assert response.status_code == 422 + + +@pytest.mark.xdist_group(name="preaggregations") +class TestRunPreaggBackfill: + """Tests for POST /preaggs/{id}/backfill endpoint.""" + + @pytest.mark.asyncio + async def test_backfill_no_workflow(self, client_with_preaggs): + """Test backfill fails when no workflow exists.""" + client = client_with_preaggs["client"] + preagg4 = client_with_preaggs["preagg4"] + + # preagg4 has no workflow URL + response = await client.post( + f"/preaggs/{preagg4.id}/backfill", + json={ + "start_date": "2024-01-01", + }, + ) + + assert response.status_code == 422 + assert "workflow created first" in response.json()["message"] + + @pytest.mark.asyncio + async def test_backfill_success( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test successfully running a backfill.""" + from datajunction_server.database.preaggregation import PreAggregation + + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg6 = client_with_preaggs["preagg6"] # Use dedicated preagg + + # Set up workflow URL on preagg6 + preagg = await session.get(PreAggregation, preagg6.id) + preagg.workflow_urls = [ + WorkflowUrl(label="scheduled", url="http://scheduler/workflow/test-123"), + ] + preagg.workflow_status = "active" + await session.commit() + + # Mock the backfill method + mock_qs_for_preaggs.run_preagg_backfill.return_value = { + "job_url": "http://scheduler/jobs/backfill-456", + } + + response = await client.post( + f"/preaggs/{preagg6.id}/backfill", + json={ + "start_date": "2024-01-01", + "end_date": "2024-01-31", + }, + ) + + assert response.status_code == 200 + data = response.json() + assert data["job_url"] == "http://scheduler/jobs/backfill-456" + assert data["start_date"] == "2024-01-01" + assert data["end_date"] == "2024-01-31" + assert data["status"] == "running" + + # Verify query service was called with correct input + mock_qs_for_preaggs.run_preagg_backfill.assert_called_once() + call_args = mock_qs_for_preaggs.run_preagg_backfill.call_args + backfill_input = call_args[0][0] + assert backfill_input.preagg_id == preagg6.id + assert "preagg" in backfill_input.output_table + + @pytest.mark.asyncio + async def test_backfill_not_found(self, client_with_preaggs): + """Test backfill for non-existent pre-agg returns 404.""" + client = client_with_preaggs["client"] + + response = await client.post( + "/preaggs/99999999/backfill", + json={"start_date": "2024-01-01"}, + ) + + assert response.status_code == 404 + + +@pytest.mark.xdist_group(name="preaggregations") +class TestListPreaggregationsGrainSuperset: + """Tests for grain superset mode in list_preaggs endpoint.""" + + @pytest.mark.asyncio + async def test_list_preaggs_grain_superset_mode(self, client_with_preaggs): + """ + Test grain_mode=superset returns pre-aggs at finer grain. + + Fixture has: + - preagg1: grain = ["v3.order_details.status"] + - preagg2: grain = ["v3.order_details.status", "v3.product.category"] (finer) + - preagg3: grain = ["v3.order_details.status"] + - preagg4: grain = ["v3.product.category"] + + Requesting grain="v3.order_details.status" with mode="superset" should return + preagg1, preagg2, and preagg3 (all contain status). + """ + client = client_with_preaggs["client"] + + # Filter by node_name to isolate our test preaggs + response = await client.get( + "/preaggs/", + params={ + "node_name": "v3.order_details", + "grain": "v3.order_details.status", + "grain_mode": "superset", + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Should get preagg1, preagg2, preagg3 - all have status + # preagg2 has finer grain (status + category) but still matches + matching_ids = {item["id"] for item in data["items"]} + preagg1 = client_with_preaggs["preagg1"] + preagg2 = client_with_preaggs["preagg2"] + preagg3 = client_with_preaggs["preagg3"] + preagg4 = client_with_preaggs["preagg4"] + + assert preagg1.id in matching_ids, "preagg1 (exact match) should be included" + assert preagg2.id in matching_ids, "preagg2 (finer grain) should be included" + assert preagg3.id in matching_ids, "preagg3 (exact match) should be included" + assert preagg4.id not in matching_ids, ( + "preagg4 (different grain) should NOT be included" + ) + + @pytest.mark.asyncio + async def test_list_preaggs_exact_vs_superset(self, client_with_preaggs): + """ + Test that exact mode excludes finer-grained pre-aggs that superset would include. + """ + client = client_with_preaggs["client"] + + # Exact mode - filter by node_name to isolate our test preaggs + exact_response = await client.get( + "/preaggs/", + params={ + "node_name": "v3.order_details", + "grain": "v3.order_details.status", + "grain_mode": "exact", + }, + ) + assert exact_response.status_code == 200 + exact_ids = {item["id"] for item in exact_response.json()["items"]} + + # Superset mode + superset_response = await client.get( + "/preaggs/", + params={ + "node_name": "v3.order_details", + "grain": "v3.order_details.status", + "grain_mode": "superset", + }, + ) + assert superset_response.status_code == 200 + superset_ids = {item["id"] for item in superset_response.json()["items"]} + + # Superset should include everything exact includes + assert exact_ids <= superset_ids + + # Superset should also include preagg2 (finer grain) + preagg2 = client_with_preaggs["preagg2"] + assert preagg2.id in superset_ids + assert preagg2.id not in exact_ids + + +@pytest.mark.xdist_group(name="preaggregations") +class TestAvailabilityMerge: + """Tests for availability temporal partition merge logic.""" + + @pytest.mark.asyncio + async def test_availability_merge_extends_max_partition(self, client_with_preaggs): + """Test that posting new max partition extends the range.""" + client = client_with_preaggs["client"] + preagg3 = client_with_preaggs["preagg3"] + + # First availability post + response1 = await client.post( + f"/preaggs/{preagg3.id}/availability/", + json={ + "catalog": "analytics", + "schema": "mat", + "table": "test_merge", + "valid_through_ts": 1704067200, + "min_temporal_partition": ["2024", "01", "01"], + "max_temporal_partition": ["2024", "01", "15"], + }, + ) + assert response1.status_code == 200 + data1 = response1.json() + # Response model only exposes max_partition, not min_partition + assert data1["max_partition"] == ["2024", "01", "15"] + + # Second availability post - extends max + response2 = await client.post( + f"/preaggs/{preagg3.id}/availability/", + json={ + "catalog": "analytics", + "schema": "mat", + "table": "test_merge", + "valid_through_ts": 1704153600, + "max_temporal_partition": ["2024", "01", "31"], + }, + ) + assert response2.status_code == 200 + data2 = response2.json() + + # Max should be extended (min preserved internally but not exposed in response) + assert data2["max_partition"] == ["2024", "01", "31"] + + @pytest.mark.asyncio + async def test_availability_merge_preserves_max_when_updating_min( + self, + client_with_preaggs, + ): + """Test that posting earlier min partition preserves max partition.""" + client = client_with_preaggs["client"] + preagg4 = client_with_preaggs["preagg4"] + + # First availability post + response1 = await client.post( + f"/preaggs/{preagg4.id}/availability/", + json={ + "catalog": "analytics", + "schema": "mat", + "table": "test_merge2", + "valid_through_ts": 1704067200, + "min_temporal_partition": ["2024", "06", "01"], + "max_temporal_partition": ["2024", "06", "30"], + }, + ) + assert response1.status_code == 200 + data1 = response1.json() + assert data1["max_partition"] == ["2024", "06", "30"] + + # Second post - extends min backwards (max should stay same) + response2 = await client.post( + f"/preaggs/{preagg4.id}/availability/", + json={ + "catalog": "analytics", + "schema": "mat", + "table": "test_merge2", + "valid_through_ts": 1704153600, + "min_temporal_partition": ["2024", "01", "01"], + }, + ) + assert response2.status_code == 200 + data2 = response2.json() + + # Max should be preserved from first post + assert data2["max_partition"] == ["2024", "06", "30"] + + @pytest.mark.asyncio + async def test_availability_different_table_creates_new(self, client_with_preaggs): + """Test that posting to different table creates new availability, not merge.""" + client = client_with_preaggs["client"] + preagg2 = client_with_preaggs["preagg2"] + + # First availability + response1 = await client.post( + f"/preaggs/{preagg2.id}/availability/", + json={ + "catalog": "analytics", + "schema": "mat", + "table": "table_v1", + "valid_through_ts": 1704067200, + "max_temporal_partition": ["2024", "01", "15"], + }, + ) + assert response1.status_code == 200 + assert response1.json()["materialized_table_ref"] == "analytics.mat.table_v1" + + # Second availability to different table - should replace + response2 = await client.post( + f"/preaggs/{preagg2.id}/availability/", + json={ + "catalog": "analytics", + "schema": "mat", + "table": "table_v2", + "valid_through_ts": 1704153600, + "max_temporal_partition": ["2024", "02", "15"], + }, + ) + assert response2.status_code == 200 + data2 = response2.json() + + # Should be the new table reference + assert data2["materialized_table_ref"] == "analytics.mat.table_v2" + assert data2["max_partition"] == ["2024", "02", "15"] + + +@pytest.mark.xdist_group(name="preaggregations") +class TestIncrementalTimeValidation: + """Tests for INCREMENTAL_TIME strategy validation requiring temporal partition columns.""" + + @pytest.mark.asyncio + async def test_plan_incremental_no_temporal_columns( + self, + client_with_build_v3: AsyncClient, + ): + """ + Test that planning with INCREMENTAL_TIME strategy fails + when source node lacks temporal partition columns. + + The v3.order_details node doesn't have temporal partition columns by default, + so INCREMENTAL_TIME should be rejected. + """ + response = await client_with_build_v3.post( + "/preaggs/plan", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "strategy": "incremental_time", + }, + ) + + assert response.status_code == 422 + data = response.json() + assert "INCREMENTAL_TIME" in data["message"] + assert "temporal partition columns" in data["message"] + + @pytest.mark.asyncio + async def test_materialize_incremental_no_temporal_columns( + self, + client_with_preaggs, + ): + """ + Test that materializing with INCREMENTAL_TIME strategy fails + when source node lacks temporal partition columns. + """ + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg7 = client_with_preaggs["preagg7"] # Use dedicated preagg + + # Set strategy to INCREMENTAL_TIME on preagg7 + from datajunction_server.database.preaggregation import PreAggregation + + preagg = await session.get(PreAggregation, preagg7.id) + preagg.strategy = MaterializationStrategy.INCREMENTAL_TIME + preagg.schedule = "0 0 * * *" + await session.commit() + + # Try to materialize - should fail + response = await client.post(f"/preaggs/{preagg7.id}/materialize") + + assert response.status_code == 422 + data = response.json() + assert "INCREMENTAL_TIME" in data["message"] + assert "temporal partition columns" in data["message"] + + +@pytest.mark.xdist_group(name="preaggregations") +class TestQueryServiceExceptionHandling: + """Tests for error handling when query service calls fail.""" + + @pytest.mark.asyncio + async def test_materialize_query_service_failure( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test error handling when materialize_preagg call fails.""" + client = client_with_preaggs["client"] + preagg1 = client_with_preaggs["preagg1"] + + # Mock query service to raise an exception + mock_qs_for_preaggs.materialize_preagg.side_effect = Exception( + "Connection refused", + ) + + response = await client.post(f"/preaggs/{preagg1.id}/materialize") + + assert response.status_code == 500 + data = response.json() + assert "Failed to create workflow" in data["message"] + assert "Connection refused" in data["message"] + + @pytest.mark.asyncio + async def test_deactivate_workflow_query_service_failure( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test error handling when deactivate_preagg_workflow call fails.""" + from datajunction_server.database.preaggregation import PreAggregation + + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg8 = client_with_preaggs["preagg8"] # Use dedicated preagg + + # Set up workflow URL + preagg = await session.get(PreAggregation, preagg8.id) + preagg.workflow_urls = [ + WorkflowUrl(label="scheduled", url="http://scheduler/workflow/test-123"), + ] + preagg.workflow_status = "active" + await session.commit() + + # Mock query service to raise an exception + mock_qs_for_preaggs.deactivate_preagg_workflow.side_effect = Exception( + "Service unavailable", + ) + + response = await client.delete(f"/preaggs/{preagg8.id}/workflow") + + assert response.status_code == 500 + data = response.json() + assert "Failed to deactivate workflow" in data["message"] + assert "Service unavailable" in data["message"] + + @pytest.mark.asyncio + async def test_backfill_query_service_failure( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test error handling when run_preagg_backfill call fails.""" + from datajunction_server.database.preaggregation import PreAggregation + + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg9 = client_with_preaggs["preagg9"] # Use dedicated preagg + + # Set up workflow URL + preagg = await session.get(PreAggregation, preagg9.id) + preagg.workflow_urls = [ + WorkflowUrl(label="scheduled", url="http://scheduler/workflow/test-123"), + ] + preagg.workflow_status = "active" + await session.commit() + + # Mock query service to raise an exception + mock_qs_for_preaggs.run_preagg_backfill.side_effect = Exception( + "Backfill service down", + ) + + response = await client.post( + f"/preaggs/{preagg9.id}/backfill", + json={"start_date": "2024-01-01"}, + ) + + assert response.status_code == 500 + data = response.json() + assert "Failed to run backfill" in data["message"] + assert "Backfill service down" in data["message"] + + +@pytest.mark.xdist_group(name="preaggregations") +class TestWorkflowUrlExtraction: + """Tests for workflow URL extraction and fallback logic in materialize.""" + + @pytest.mark.asyncio + async def test_materialize_extracts_main_workflow_url( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test that .main workflow URL is extracted from response.""" + from datajunction_server.database.preaggregation import PreAggregation + + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg1 = client_with_preaggs["preagg1"] + + # Mock returns multiple URLs - should extract .main + mock_result = { + "urls": [ + "http://scheduler/workflow/test.trigger", + "http://scheduler/workflow/test.main", + "http://scheduler/workflow/test.cleanup", + ], + "output_tables": ["analytics.materialized.preagg_test"], + } + mock_qs_for_preaggs.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg1.id}/materialize") + + assert response.status_code == 200 + + # Check all workflow URLs are stored with appropriate labels + await session.refresh(preagg1) + preagg = await session.get(PreAggregation, preagg1.id) + # Implementation stores ALL URLs with labels based on URL patterns + assert preagg.workflow_urls == [ + WorkflowUrl(label="workflow", url="http://scheduler/workflow/test.trigger"), + WorkflowUrl(label="scheduled", url="http://scheduler/workflow/test.main"), + WorkflowUrl(label="workflow", url="http://scheduler/workflow/test.cleanup"), + ] + assert preagg.workflow_status == "active" + + @pytest.mark.asyncio + async def test_materialize_fallback_to_first_url( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test fallback to first URL when no .main URL found.""" + from datajunction_server.database.preaggregation import PreAggregation + + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg3 = client_with_preaggs["preagg3"] + + # Mock returns URLs without .main - should fallback to first + mock_result = { + "urls": [ + "http://scheduler/workflow/test-fallback", + "http://scheduler/workflow/test-other", + ], + "output_tables": ["analytics.materialized.preagg_test"], + } + mock_qs_for_preaggs.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg3.id}/materialize") + + assert response.status_code == 200 + + # Check all workflow URLs are stored with labels based on URL patterns + # When no .main URL found, all URLs get 'workflow' label + await session.refresh(preagg3) + preagg = await session.get(PreAggregation, preagg3.id) + assert preagg.workflow_urls == [ + WorkflowUrl( + label="workflow", + url="http://scheduler/workflow/test-fallback", + ), + WorkflowUrl( + label="workflow", + url="http://scheduler/workflow/test-other", + ), + ] + + @pytest.mark.asyncio + async def test_materialize_sets_default_schedule_when_none( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test that default schedule is set during materialization if not configured.""" + from datajunction_server.database.preaggregation import PreAggregation + + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg10 = client_with_preaggs["preagg10"] # Use dedicated preagg + + # Set strategy but leave schedule as None + preagg = await session.get(PreAggregation, preagg10.id) + preagg.strategy = MaterializationStrategy.FULL + preagg.schedule = None # Explicitly None + await session.commit() + + # Mock query service + mock_result = { + "urls": ["http://scheduler/workflow/test.main"], + "output_tables": ["analytics.materialized.preagg_test"], + } + mock_qs_for_preaggs.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg10.id}/materialize") + + assert response.status_code == 200 + + # Check that schedule was set to default + await session.refresh(preagg10) + preagg = await session.get(PreAggregation, preagg10.id) + assert preagg.schedule is not None + # Default schedule from API is "0 0 * * *" + assert preagg.schedule == "0 0 * * *" + + @pytest.mark.asyncio + async def test_materialize_returns_all_urls( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """Test that response includes all workflow URLs from query service.""" + client = client_with_preaggs["client"] + preagg1 = client_with_preaggs["preagg1"] + + # Mock returns multiple URLs + all_urls = [ + "http://scheduler/workflow/test.trigger", + "http://scheduler/workflow/test.main", + "http://scheduler/workflow/test.cleanup", + ] + mock_result = { + "urls": all_urls, + "output_tables": ["analytics.materialized.preagg_test"], + } + mock_qs_for_preaggs.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg1.id}/materialize") + + assert response.status_code == 200 + data = response.json() + + # Response should include all workflow URLs as labeled objects + assert "workflow_urls" in data + assert data["workflow_urls"] == [ + {"label": "workflow", "url": "http://scheduler/workflow/test.trigger"}, + {"label": "scheduled", "url": "http://scheduler/workflow/test.main"}, + {"label": "workflow", "url": "http://scheduler/workflow/test.cleanup"}, + ] + + @pytest.mark.asyncio + async def test_materialize_handles_new_workflow_urls_format( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """ + Test that new workflow_urls format is correctly stored. + """ + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg1 = client_with_preaggs["preagg1"] + + # Mock query service with NEW workflow_urls format + mock_result = { + "workflow_urls": [ + {"label": "scheduled", "url": "http://scheduler/scheduled-workflow"}, + {"label": "backfill", "url": "http://scheduler/backfill-workflow"}, + ], + "status": "active", + } + mock_qs_for_preaggs.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg1.id}/materialize") + assert response.status_code == 200 + + # Verify workflow_urls are stored correctly with labels from response + await session.refresh(preagg1) + preagg = await session.get(PreAggregation, preagg1.id) + assert preagg.workflow_urls == [ + WorkflowUrl(label="scheduled", url="http://scheduler/scheduled-workflow"), + WorkflowUrl(label="backfill", url="http://scheduler/backfill-workflow"), + ] + + @pytest.mark.asyncio + async def test_materialize_handles_legacy_urls_with_backfill_pattern( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """ + Test legacy URLs with .backfill pattern get labeled correctly. + """ + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg1 = client_with_preaggs["preagg1"] + + # Mock query service with legacy urls format containing .backfill + mock_result = { + "urls": [ + "http://scheduler/workflow/test.main", + "http://scheduler/workflow/test.backfill", # Should get label "backfill" + ], + "output_tables": ["analytics.materialized.preagg_test"], + } + mock_qs_for_preaggs.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg1.id}/materialize") + assert response.status_code == 200 + + # Verify backfill URL gets correct label + await session.refresh(preagg1) + preagg = await session.get(PreAggregation, preagg1.id) + # Find the backfill URL + backfill_urls = [wf for wf in preagg.workflow_urls if wf.label == "backfill"] + assert len(backfill_urls) == 1 + assert ".backfill" in backfill_urls[0].url + + @pytest.mark.asyncio + async def test_materialize_handles_legacy_urls_with_adhoc_pattern( + self, + client_with_preaggs, + mock_qs_for_preaggs, + ): + """ + Test legacy URLs with adhoc pattern get labeled as backfill. + """ + client = client_with_preaggs["client"] + session = client_with_preaggs["session"] + preagg1 = client_with_preaggs["preagg1"] + + # Mock query service with legacy urls containing adhoc + mock_result = { + "urls": [ + "http://scheduler/scheduled-workflow", + "http://scheduler/Adhoc-workflow", # Should get label "backfill" (case insensitive) + ], + "output_tables": ["analytics.materialized.preagg_test"], + } + mock_qs_for_preaggs.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg1.id}/materialize") + assert response.status_code == 200 + + # Verify adhoc URL gets backfill label + await session.refresh(preagg1) + preagg = await session.get(PreAggregation, preagg1.id) + # Find the backfill URL (adhoc should be labeled as backfill) + backfill_urls = [wf for wf in preagg.workflow_urls if wf.label == "backfill"] + assert len(backfill_urls) == 1 + assert "adhoc" in backfill_urls[0].url.lower() + + +@pytest.mark.xdist_group(name="preaggregations") +class TestIncrementalTimeMaterialization: + """ + Tests for INCREMENTAL_TIME materialization with temporal partition columns. + + These tests verify that the materialize endpoint correctly handles + incremental time strategies when the upstream node has temporal partitions. + + Uses the v3 namespace which has dimension links already configured: + - v3.order_details.order_date -> v3.date.date_id (role: order) + """ + + @pytest.mark.asyncio + async def test_materialize_incremental_time_with_temporal_partition( + self, + client_with_build_v3: AsyncClient, + session: AsyncSession, + mock_query_service_client, + ): + """ + Test INCREMENTAL_TIME materialization succeeds when node has temporal partitions. + + This test: + 1. Sets up a temporal partition on order_date column + 2. Creates a preagg with INCREMENTAL_TIME strategy via /preaggs/plan + 3. Verifies materialize returns correct temporal partition info + """ + client = client_with_build_v3 + + # Set temporal partition on order_date column via session + await _set_temporal_partition_via_session( + session, + node_name="v3.order_details", + column_name="order_date", + granularity="day", + format_="yyyyMMdd", + ) + + # Create a preagg with INCREMENTAL_TIME strategy via API + plan_response = await client.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "strategy": "incremental_time", + "schedule": "0 0 * * *", + "lookback_window": "3 days", + }, + ) + assert plan_response.status_code == 201, ( + f"Failed to plan preagg: {plan_response.text}" + ) + preagg = plan_response.json()["preaggs"][0] + preagg_id = preagg["id"] + + # Mock query service client's materialize_preagg method + mock_result = { + "urls": ["http://scheduler/workflow/incremental.main"], + "output_tables": ["analytics.preaggs.incremental_test"], + } + mock_query_service_client.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg_id}/materialize") + + assert response.status_code == 200, f"Materialize failed: {response.text}" + data = response.json() + + # Verify response structure + assert data["node_name"] == "v3.order_details" + assert data["strategy"] == "incremental_time" + assert data["schedule"] == "0 0 * * *" + assert data["lookback_window"] == "3 days" + assert data["workflow_status"] == "active" + assert data["workflow_urls"] == [ + {"label": "scheduled", "url": "http://scheduler/workflow/incremental.main"}, + ] + + @pytest.mark.asyncio + async def test_materialize_incremental_passes_temporal_partition_to_query_service( + self, + client_with_build_v3: AsyncClient, + session: AsyncSession, + mock_query_service_client, + ): + """ + Test that temporal partition info is passed to query service during materialization. + + Verifies the PreAggMaterializationInput contains temporal_partitions. + """ + client = client_with_build_v3 + + # Ensure temporal partition is set on order_date column via session + await _set_temporal_partition_via_session( + session, + node_name="v3.order_details", + column_name="order_date", + granularity="day", + format_="yyyyMMdd", + ) + + # Create a preagg with INCREMENTAL_TIME strategy + plan_response = await client.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.order_count"], + "dimensions": ["v3.order_details.status"], + "strategy": "incremental_time", + "schedule": "0 * * * *", + "lookback_window": "1 day", + }, + ) + assert plan_response.status_code == 201 + preagg = plan_response.json()["preaggs"][0] + preagg_id = preagg["id"] + + # Mock query service and capture the call + mock_result = { + "urls": ["http://scheduler/workflow/test.main"], + "output_tables": ["analytics.preaggs.test"], + } + mock_query_service_client.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg_id}/materialize") + assert response.status_code == 200 + + # Verify the query service was called with temporal partition info + mock_query_service_client.materialize_preagg.assert_called_once() + call_args = mock_query_service_client.materialize_preagg.call_args + mat_input = call_args[0][0] # First positional argument + + # Check temporal partitions are included in the input + assert hasattr(mat_input, "temporal_partitions") + assert len(mat_input.temporal_partitions) > 0 + + # Verify the temporal partition has expected properties + temporal_partition = mat_input.temporal_partitions[0] + assert temporal_partition.column_name is not None + assert temporal_partition.format == "yyyyMMdd" + assert temporal_partition.granularity == "day" + + @pytest.mark.asyncio + async def test_temporal_partition_via_dimension_link( + self, + client_with_build_v3: AsyncClient, + session: AsyncSession, + mock_query_service_client, + ): + """ + Test temporal partition resolution via dimension link. + + This tests Strategy 2 in preagg_matcher.py where the temporal column + (order_date) is linked to a dimension (v3.date), and the grain includes + that dimension's column (v3.date.date_id). + + The code should: + 1. Find that order_date links to v3.date + 2. Search grain_columns for v3.date.* + 3. Map order_date -> date_id as the output column name + """ + client = client_with_build_v3 + + # Set temporal partition on order_date (which links to v3.date) via session + await _set_temporal_partition_via_session( + session, + node_name="v3.order_details", + column_name="order_date", + granularity="day", + format_="yyyyMMdd", + ) + + # Create preagg with grain including v3.date.date_id (linked dimension) + # This triggers Strategy 2: temporal col -> dimension link -> grain column + plan_response = await client.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.date.date_id[order]"], # Linked via order_date + "strategy": "incremental_time", + "schedule": "0 0 * * *", + "lookback_window": "3 days", + }, + ) + assert plan_response.status_code == 201, ( + f"Failed to plan preagg: {plan_response.text}" + ) + preagg = plan_response.json()["preaggs"][0] + preagg_id = preagg["id"] + + # Mock query service and capture the call + mock_result = { + "urls": ["http://scheduler/workflow/dimension_link.main"], + "output_tables": ["analytics.preaggs.dimension_link_test"], + } + mock_query_service_client.materialize_preagg.return_value = mock_result + + response = await client.post(f"/preaggs/{preagg_id}/materialize") + assert response.status_code == 200, f"Materialize failed: {response.text}" + + # Verify the query service was called + mock_query_service_client.materialize_preagg.assert_called_once() + call_args = mock_query_service_client.materialize_preagg.call_args + mat_input = call_args[0][0] + + # Check temporal partitions + assert hasattr(mat_input, "temporal_partitions") + assert len(mat_input.temporal_partitions) > 0 + + # The temporal partition should be mapped via dimension link + # order_date -> v3.date.date_id -> output column "date_id" + temporal_partition = mat_input.temporal_partitions[0] + assert temporal_partition.column_name is not None + assert temporal_partition.format == "yyyyMMdd" + assert temporal_partition.granularity == "day" diff --git a/datajunction-server/tests/api/query_params_test.py b/datajunction-server/tests/api/query_params_test.py new file mode 100644 index 000000000..303153445 --- /dev/null +++ b/datajunction-server/tests/api/query_params_test.py @@ -0,0 +1,179 @@ +import pytest +from httpx import AsyncClient +import pytest_asyncio +from datajunction_server.sql.parsing.backends.antlr4 import parse + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_query_params( + module__client_with_roads: AsyncClient, +) -> AsyncClient: + """ + Fixture to create a transform with query parameters + """ + response = await module__client_with_roads.patch( + "/nodes/default.repair_orders_fact", + json={ + "query": "SELECT CAST(:`default.hard_hat.hard_hat_id` AS INT) AS hh_id," + "hard_hat_id, repair_order_id FROM default.repair_orders repair_orders", + }, + ) + assert response.status_code == 200 + return module__client_with_roads + + +@pytest.mark.asyncio +async def test_query_parameters_node_sql( + module__client_with_query_params: AsyncClient, +): + """ + Test using query parameters in the SQL query + """ + response = await module__client_with_query_params.get( + "/sql/default.repair_orders_fact", + params={ + "dimensions": ["default.hard_hat.hard_hat_id"], + "query_params": '{"default.hard_hat.hard_hat_id": 123}', + }, + ) + assert str(parse(response.json()["sql"])) == str( + parse( + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + CAST(123 AS INT) AS hh_id, + repair_orders.hard_hat_id, + repair_orders.repair_order_id + FROM roads.repair_orders AS repair_orders + ) + SELECT + default_DOT_repair_orders_fact.hh_id default_DOT_repair_orders_fact_DOT_hh_id, + default_DOT_repair_orders_fact.hard_hat_id default_DOT_hard_hat_DOT_hard_hat_id, + default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id + FROM default_DOT_repair_orders_fact + """, + ), + ) + + response = await module__client_with_query_params.get( + "/sql/default.repair_orders_fact", + params={ + "dimensions": ["default.hard_hat.hard_hat_id"], + "filters": [ + "default.hard_hat.hard_hat_id = 123", + ], + "ignore_errors": False, + }, + ) + assert ( + response.json()["message"] + == "Missing value for parameter: default.hard_hat.hard_hat_id" + ) + + +@pytest.mark.asyncio +async def test_query_parameters_measures_sql( + module__client_with_query_params: AsyncClient, +): + """ + Test using query parameters in the SQL query + """ + response = await module__client_with_query_params.get( + "/sql/measures/v2", + params={ + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.hard_hat_id"], + "query_params": '{"default.hard_hat.hard_hat_id": 123}', + }, + ) + assert str(parse(response.json()[0]["sql"])) == str( + parse( + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + CAST(123 AS INT) AS hh_id, + repair_orders.hard_hat_id, + repair_orders.repair_order_id + FROM roads.repair_orders AS repair_orders + ) + SELECT + default_DOT_repair_orders_fact.hard_hat_id default_DOT_hard_hat_DOT_hard_hat_id, + default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id + FROM default_DOT_repair_orders_fact + """, + ), + ) + + response = await module__client_with_query_params.get( + "/sql/measures/v2", + params={ + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.hard_hat_id"], + }, + ) + assert response.json()[0]["errors"] == [ + { + "code": 303, + "message": "Missing value for parameter: default.hard_hat.hard_hat_id", + "debug": None, + "context": "", + }, + ] + + +@pytest.mark.asyncio +async def test_query_parameters_metrics_sql( + module__client_with_query_params: AsyncClient, +): + """ + Test using query parameters in the SQL query + """ + response = await module__client_with_query_params.get( + "/sql", + params={ + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.hard_hat_id"], + "query_params": '{"default.hard_hat.hard_hat_id": 123}', + }, + ) + assert str(parse(response.json()["sql"])) == str( + parse( + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + CAST(123 AS INT) AS hh_id, + repair_orders.hard_hat_id, + repair_orders.repair_order_id + FROM roads.repair_orders AS repair_orders + ), + default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_repair_orders_fact.hard_hat_id default_DOT_hard_hat_DOT_hard_hat_id, + count(default_DOT_repair_orders_fact.repair_order_id) default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact + GROUP BY default_DOT_repair_orders_fact.hard_hat_id + ) + SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_hard_hat_id, + default_DOT_repair_orders_fact_metrics.default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact_metrics + """, + ), + ) + + response = await module__client_with_query_params.get( + "/sql", + params={ + "metrics": ["default.num_repair_orders"], + "dimensions": ["default.hard_hat.hard_hat_id"], + "ignore_errors": False, + }, + ) + assert response.json()["errors"] == [ + { + "code": 303, + "message": "Missing value for parameter: default.hard_hat.hard_hat_id", + "debug": None, + "context": "", + }, + ] diff --git a/datajunction-server/tests/api/rbac_test.py b/datajunction-server/tests/api/rbac_test.py new file mode 100644 index 000000000..c277c578f --- /dev/null +++ b/datajunction-server/tests/api/rbac_test.py @@ -0,0 +1,916 @@ +"""Tests for RBAC API endpoints.""" + +from datetime import datetime, timedelta, timezone +from unittest import mock + +import pytest +from httpx import AsyncClient +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.history import History +from datajunction_server.database.rbac import RoleScope, RoleAssignment +from datajunction_server.database.user import User +from datajunction_server.internal.history import ActivityType, EntityType + + +@pytest.mark.asyncio +async def test_create_role_basic(client_with_basic: AsyncClient): + """Test creating a basic role without scopes.""" + response = await client_with_basic.post( + "/roles/", + json={ + "name": "test-role", + "description": "A test role", + }, + ) + assert response.status_code == 201 + data = response.json() + assert data["name"] == "test-role" + assert data["description"] == "A test role" + assert data["scopes"] == [] + assert "id" in data + assert "created_at" in data + assert "created_by" in data + assert data["created_by"][ + "username" + ] # Should have the authenticated user's username + + +@pytest.mark.asyncio +async def test_create_role_with_scopes(client_with_basic: AsyncClient): + """Test creating a role with scopes.""" + response = await client_with_basic.post( + "/roles/", + json={ + "name": "finance-editor", + "description": "Can edit finance namespace", + "scopes": [ + { + "action": "read", + "scope_type": "namespace", + "scope_value": "finance.*", + }, + { + "action": "write", + "scope_type": "namespace", + "scope_value": "finance.*", + }, + ], + }, + ) + assert response.status_code == 201 + data = response.json() + assert data["name"] == "finance-editor" + assert len(data["scopes"]) == 2 + + # Check scopes + scopes = {(s["action"], s["scope_type"], s["scope_value"]) for s in data["scopes"]} + assert ("read", "namespace", "finance.*") in scopes + assert ("write", "namespace", "finance.*") in scopes + + +@pytest.mark.asyncio +async def test_create_role_duplicate_name(client_with_basic: AsyncClient): + """Test that creating a role with duplicate name fails.""" + # Create first role + response = await client_with_basic.post( + "/roles/", + json={"name": "duplicate-role", "description": "First"}, + ) + assert response.status_code == 201 + + # Try to create with same name + response = await client_with_basic.post( + "/roles/", + json={"name": "duplicate-role", "description": "Second"}, + ) + assert response.status_code == 409 + assert "already exists" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_list_roles(client_with_basic: AsyncClient): + """Test listing roles.""" + # Create several roles + for i in range(3): + await client_with_basic.post( + "/roles/", + json={"name": f"role-{i}", "description": f"Role {i}"}, + ) + + # List roles + response = await client_with_basic.get("/roles/") + assert response.status_code == 200 + data = response.json() + assert len(data) >= 3 + + # Check they're ordered by name + names = [role["name"] for role in data] + assert sorted(names) == names + + +@pytest.mark.asyncio +async def test_list_roles_pagination(client_with_basic: AsyncClient): + """Test role list pagination.""" + # Create several roles + for i in range(5): + await client_with_basic.post( + "/roles/", + json={"name": f"pag-role-{i:02d}"}, + ) + + # Get first page + response = await client_with_basic.get("/roles/?limit=2&offset=0") + assert response.status_code == 200 + page1 = response.json() + assert len(page1) == 2 + + # Get second page + response = await client_with_basic.get("/roles/?limit=2&offset=2") + assert response.status_code == 200 + page2 = response.json() + assert len(page2) == 2 + + # Ensure no overlap + page1_ids = {role["id"] for role in page1} + page2_ids = {role["id"] for role in page2} + assert page1_ids.isdisjoint(page2_ids) + + +@pytest.mark.asyncio +async def test_list_roles_by_creator( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test filtering roles by creator.""" + # Create a role (will be created by the authenticated user) + response = await client_with_basic.post( + "/roles/", + json={"name": "creator-test-role"}, + ) + assert response.status_code == 201 + role_data = response.json() + creator_username = role_data["created_by"]["username"] + + # Get the creator's user ID from database + user_result = await session.execute( + select(User).where(User.username == creator_username), + ) + creator = user_result.scalar_one() + + # Filter by created_by_id - should return at least our role + response = await client_with_basic.get(f"/roles/?created_by_id={creator.id}") + assert response.status_code == 200 + filtered_roles = response.json() + assert len(filtered_roles) >= 1 + assert all(r["created_by"]["username"] == creator_username for r in filtered_roles) + assert any(r["name"] == "creator-test-role" for r in filtered_roles) + + +@pytest.mark.asyncio +async def test_get_role(client_with_basic: AsyncClient): + """Test getting a specific role.""" + # Create role + create_response = await client_with_basic.post( + "/roles/", + json={ + "name": "get-test-role", + "description": "Test role for GET", + "scopes": [ + { + "action": "read", + "scope_type": "namespace", + "scope_value": "test.*", + }, + ], + }, + ) + role_name = create_response.json()["name"] + + # Get role + response = await client_with_basic.get(f"/roles/{role_name}") + assert response.status_code == 200 + data = response.json() + assert data["name"] == "get-test-role" + assert len(data["scopes"]) == 1 + + +@pytest.mark.asyncio +async def test_get_role_not_found(client_with_basic: AsyncClient): + """Test getting non-existent role.""" + response = await client_with_basic.get("/roles/nonexistent-role") + assert response.status_code == 404 + assert "does not exist" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_update_role_name(client_with_basic: AsyncClient): + """Test updating role name.""" + # Create role + create_response = await client_with_basic.post( + "/roles/", + json={"name": "old-name", "description": "Original"}, + ) + assert create_response.status_code == 201 + + # Update name + response = await client_with_basic.patch( + "/roles/old-name", + json={"name": "new-name"}, + ) + assert response.status_code == 200 + data = response.json() + assert data["name"] == "new-name" + assert data["description"] == "Original" # Unchanged + + +@pytest.mark.asyncio +async def test_update_role_description(client_with_basic: AsyncClient): + """Test updating role description.""" + # Create role + await client_with_basic.post( + "/roles/", + json={"name": "update-desc", "description": "Old description"}, + ) + + # Update description + response = await client_with_basic.patch( + "/roles/update-desc", + json={"description": "New description"}, + ) + assert response.status_code == 200 + data = response.json() + assert data["name"] == "update-desc" # Unchanged + assert data["description"] == "New description" + + +@pytest.mark.asyncio +async def test_update_role_name_conflict(client_with_basic: AsyncClient): + """Test that updating to existing name fails.""" + # Create two roles + await client_with_basic.post( + "/roles/", + json={"name": "existing-role"}, + ) + await client_with_basic.post( + "/roles/", + json={"name": "other-role"}, + ) + + # Try to rename to existing name + response = await client_with_basic.patch( + "/roles/other-role", + json={"name": "existing-role"}, + ) + assert response.status_code == 409 + assert "already exists" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_delete_role(client_with_basic: AsyncClient): + """Test soft deleting a role.""" + # Create role + await client_with_basic.post( + "/roles/", + json={"name": "delete-me"}, + ) + + # Delete role (soft delete) + response = await client_with_basic.delete("/roles/delete-me") + assert response.status_code == 204 + + # Verify it's not in normal queries + response = await client_with_basic.get("/roles/delete-me") + assert response.status_code == 404 + + # Verify it still exists with include_deleted=true + response = await client_with_basic.get("/roles/delete-me?include_deleted=true") + assert response.status_code == 200 + data = response.json() + assert data["deleted_at"] is not None + # Who deleted is in History table, not on the model + + +@pytest.mark.asyncio +async def test_delete_role_not_found(client_with_basic: AsyncClient): + """Test deleting non-existent role.""" + response = await client_with_basic.delete("/roles/nonexistent-role") + assert response.status_code == 404 + + +@pytest.mark.asyncio +async def test_add_scope_to_role(client_with_basic: AsyncClient): + """Test adding a scope to an existing role.""" + # Create role without scopes + await client_with_basic.post( + "/roles/", + json={"name": "add-scope-role"}, + ) + + # Add scope + response = await client_with_basic.post( + "/roles/add-scope-role/scopes/", + json={ + "action": "execute", + "scope_type": "namespace", + "scope_value": "analytics.*", + }, + ) + assert response.status_code == 201 + data = response.json() + assert data["action"] == "execute" + assert data["scope_type"] == "namespace" + assert data["scope_value"] == "analytics.*" + + +@pytest.mark.asyncio +async def test_add_scope_duplicate(client_with_basic: AsyncClient): + """Test that adding duplicate scope fails.""" + # Create role with scope + await client_with_basic.post( + "/roles/", + json={ + "name": "dup-scope-role", + "scopes": [ + { + "action": "read", + "scope_type": "namespace", + "scope_value": "test.*", + }, + ], + }, + ) + + # Try to add same scope + response = await client_with_basic.post( + "/roles/dup-scope-role/scopes/", + json={ + "action": "read", + "scope_type": "namespace", + "scope_value": "test.*", + }, + ) + assert response.status_code == 409 + assert "already exists" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_add_scope_to_nonexistent_role(client_with_basic: AsyncClient): + """Test adding scope to non-existent role.""" + response = await client_with_basic.post( + "/roles/nonexistent-role/scopes/", + json={ + "action": "read", + "scope_type": "namespace", + "scope_value": "test.*", + }, + ) + assert response.status_code == 404 + + +@pytest.mark.asyncio +async def test_list_role_scopes(client_with_basic: AsyncClient): + """Test listing scopes for a role.""" + # Create role with scopes + await client_with_basic.post( + "/roles/", + json={ + "name": "list-scopes-role", + "scopes": [ + {"action": "read", "scope_type": "namespace", "scope_value": "a.*"}, + {"action": "write", "scope_type": "namespace", "scope_value": "a.*"}, + {"action": "execute", "scope_type": "node", "scope_value": "a.b.c"}, + ], + }, + ) + + # List scopes + response = await client_with_basic.get("/roles/list-scopes-role/scopes/") + assert response.status_code == 200 + scopes = response.json() + assert len(scopes) == 3 + + +@pytest.mark.asyncio +async def test_delete_scope_from_role(client_with_basic: AsyncClient): + """Test deleting a scope from a role.""" + from urllib.parse import quote + + # Create role with scopes + await client_with_basic.post( + "/roles/", + json={ + "name": "delete-scope-role", + "scopes": [ + {"action": "read", "scope_type": "namespace", "scope_value": "x.*"}, + {"action": "write", "scope_type": "namespace", "scope_value": "x.*"}, + ], + }, + ) + + # Delete scope using composite key (URL-encode the wildcard) + scope_value = quote("x.*", safe="") + response = await client_with_basic.delete( + f"/roles/delete-scope-role/scopes/read/namespace/{scope_value}", + ) + assert response.status_code == 204 + + # Verify it's gone + response = await client_with_basic.get("/roles/delete-scope-role/scopes/") + assert response.status_code == 200 + remaining_scopes = response.json() + assert len(remaining_scopes) == 1 + assert remaining_scopes[0]["action"] == "write" # Only write scope remains + + +@pytest.mark.asyncio +async def test_delete_scope_not_found(client_with_basic: AsyncClient): + """Test deleting non-existent scope.""" + from urllib.parse import quote + + # Create role + await client_with_basic.post( + "/roles/", + json={"name": "test-role"}, + ) + + # Try to delete non-existent scope (URL-encode the wildcard) + scope_value = quote("nonexistent.*", safe="") + response = await client_with_basic.delete( + f"/roles/test-role/scopes/read/namespace/{scope_value}", + ) + assert response.status_code == 404 + + +@pytest.mark.asyncio +async def test_soft_delete_preserves_scopes( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test that soft deleting a role preserves its scopes for audit trail.""" + # Create role with scopes + create_response = await client_with_basic.post( + "/roles/", + json={ + "name": "soft-delete-test-role", + "scopes": [ + {"action": "read", "scope_type": "namespace", "scope_value": "test.*"}, + {"action": "write", "scope_type": "namespace", "scope_value": "test.*"}, + ], + }, + ) + role_id = create_response.json()["id"] + + # Get scope IDs from database + scope_result = await session.execute( + select(RoleScope).where(RoleScope.role_id == role_id), + ) + scope_ids = [scope.id for scope in scope_result.scalars().all()] + assert len(scope_ids) == 2 # Should have 2 scopes + + # Soft delete role + response = await client_with_basic.delete("/roles/soft-delete-test-role") + assert response.status_code == 204 + + # Verify scopes still exist in database (for audit) + for scope_id in scope_ids: + result = await session.execute( + select(RoleScope).where(RoleScope.id == scope_id), + ) + assert result.scalar_one_or_none() is not None # Still exists! + + +@pytest.mark.asyncio +async def test_cannot_delete_role_with_assignments( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test that roles with assignments cannot be deleted (SOX compliance).""" + # Create role + create_response = await client_with_basic.post( + "/roles/", + json={"name": "assigned-role"}, + ) + role_id = create_response.json()["id"] + + # Get a user to assign the role to + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + # Create an assignment + assignment = RoleAssignment( + principal_id=user.id, + role_id=role_id, + granted_by_id=user.id, + ) + session.add(assignment) + await session.commit() + + # Try to delete role + response = await client_with_basic.delete("/roles/assigned-role") + assert response.status_code == 400 + assert "cannot delete" in response.json()["message"].lower() + assert "audit compliance" in response.json()["message"].lower() + + +@pytest.mark.asyncio +async def test_audit_logging_for_role_operations( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test that all role operations are logged to history for SOX compliance.""" + # Create role + await client_with_basic.post( + "/roles/", + json={ + "name": "audit-test-role", + "description": "Test role for audit", + }, + ) + + # Check CREATE was logged + history_result = await session.execute( + select(History).where( + History.entity_type == EntityType.ROLE, + History.entity_name == "audit-test-role", + History.activity_type == ActivityType.CREATE, + ), + ) + create_log = history_result.scalar_one_or_none() + assert create_log is not None + assert create_log.post["name"] == "audit-test-role" + + # Update role + await client_with_basic.patch( + "/roles/audit-test-role", + json={"description": "Updated description"}, + ) + + # Check UPDATE was logged + history_result = await session.execute( + select(History).where( + History.entity_type == EntityType.ROLE, + History.entity_name == "audit-test-role", + History.activity_type == ActivityType.UPDATE, + ), + ) + update_log = history_result.scalar_one_or_none() + assert update_log is not None + assert update_log.pre["description"] == "Test role for audit" + assert update_log.post["description"] == "Updated description" + + # Delete role + await client_with_basic.delete("/roles/audit-test-role") + + # Check DELETE was logged + history_result = await session.execute( + select(History).where( + History.entity_type == EntityType.ROLE, + History.entity_name == "audit-test-role", + History.activity_type == ActivityType.DELETE, + ), + ) + delete_log = history_result.scalar_one_or_none() + assert delete_log is not None + assert delete_log.pre["name"] == "audit-test-role" + + +# ============================================================================ +# Role Assignment Tests +# ============================================================================ + + +@pytest.mark.asyncio +async def test_create_role_assignment( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test assigning a role to a principal.""" + # Create role + await client_with_basic.post( + "/roles/", + json={ + "name": "test-assignment-role", + "description": "Role for assignment testing", + }, + ) + + # Get a user to assign the role to + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + # Create assignment + response = await client_with_basic.post( + "/roles/test-assignment-role/assign", + json={ + "principal_username": user.username, + }, + ) + assert response.status_code == 201 + data = response.json() + assert data == { + "expires_at": None, + "granted_at": mock.ANY, + "granted_by": { + "email": "dj@datajunction.io", + "username": "dj", + }, + "principal": { + "email": "dj@datajunction.io", + "username": "dj", + }, + "role": { + "created_at": mock.ANY, + "created_by": { + "email": "dj@datajunction.io", + "username": "dj", + }, + "deleted_at": None, + "description": "Role for assignment testing", + "id": mock.ANY, + "name": "test-assignment-role", + "scopes": [], + }, + } + + +@pytest.mark.asyncio +async def test_create_role_assignment_with_expiration( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test assigning a role with an expiration date.""" + # Create role + await client_with_basic.post( + "/roles/", + json={"name": "temp-role"}, + ) + + # Get a user + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + # Create assignment with expiration + expires_at = datetime.now(timezone.utc) + timedelta(days=30) + response = await client_with_basic.post( + "/roles/temp-role/assign", + json={ + "principal_username": user.username, + "expires_at": expires_at.isoformat(), + }, + ) + assert response.status_code == 201 + data = response.json() + assert data["expires_at"] is not None + + +@pytest.mark.asyncio +async def test_create_role_assignment_duplicate( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test that assigning the same role twice fails.""" + # Create role + await client_with_basic.post( + "/roles/", + json={"name": "dup-assignment-role"}, + ) + + # Get a user + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + # Create first assignment + response = await client_with_basic.post( + "/roles/dup-assignment-role/assign", + json={ + "principal_username": user.username, + }, + ) + assert response.status_code == 201 + + # Try to create duplicate + response = await client_with_basic.post( + "/roles/dup-assignment-role/assign", + json={ + "principal_username": user.username, + }, + ) + assert response.status_code == 409 + assert "already has role" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_create_role_assignment_nonexistent_role( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test assigning a non-existent role.""" + # Get a user + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + response = await client_with_basic.post( + "/roles/nonexistent-role/assign", + json={ + "principal_username": user.username, + }, + ) + assert response.status_code == 404 + assert "does not exist" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_create_role_assignment_nonexistent_principal( + client_with_basic: AsyncClient, +): + """Test assigning a role to a non-existent principal.""" + # Create role + await client_with_basic.post( + "/roles/", + json={"name": "test-role"}, + ) + + response = await client_with_basic.post( + "/roles/test-role/assign", + json={ + "principal_username": "nonexistent-user", + }, + ) + assert response.status_code == 404 + assert "Principal" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_list_role_assignments( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test listing role assignments.""" + # Create role + await client_with_basic.post( + "/roles/", + json={"name": "list-test-role"}, + ) + + # Get a user + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + # Create assignment + await client_with_basic.post( + "/roles/list-test-role/assign", + json={ + "principal_username": user.username, + }, + ) + + # List assignments for this role + response = await client_with_basic.get("/roles/list-test-role/assignments") + assert response.status_code == 200 + data = response.json() + assert len(data) >= 1 # At least the one we just created + # Verify structure + assignment = data[0] + assert "principal" in assignment + assert assignment["principal"]["username"] == user.username + assert assignment["role"]["name"] == "list-test-role" + + +@pytest.mark.asyncio +async def test_list_role_assignments_by_role_name( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test listing assignments for a specific role.""" + # Create role + await client_with_basic.post("/roles/", json={"name": "shared-role"}) + + # Get a user + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + # Assign role to user + await client_with_basic.post( + "/roles/shared-role/assign", + json={"principal_username": user.username}, + ) + + # List assignments for this role + response = await client_with_basic.get("/roles/shared-role/assignments") + assert response.status_code == 200 + data = response.json() + assert len(data) >= 1 + assert all(a["role"]["name"] == "shared-role" for a in data) + + +@pytest.mark.asyncio +async def test_revoke_role_assignment( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test revoking a role assignment.""" + # Create role + await client_with_basic.post("/roles/", json={"name": "revoke-test-role"}) + + # Get a user + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + # Create assignment + create_response = await client_with_basic.post( + "/roles/revoke-test-role/assign", + json={"principal_username": user.username}, + ) + assert create_response.status_code == 201 + + # Revoke assignment + response = await client_with_basic.delete( + f"/roles/revoke-test-role/assignments/{user.username}", + ) + assert response.status_code == 204 + + # Verify it's gone + response = await client_with_basic.get("/roles/revoke-test-role/assignments") + data = response.json() + assert not any(a["principal"]["username"] == user.username for a in data) + + # Try revoking again to ensure idempotency + response = await client_with_basic.delete( + f"/roles/revoke-test-role/assignments/{user.username}", + ) + assert response.status_code == 404 + assert ( + response.json()["message"] + == f"Principal '{user.username}' does not have role 'revoke-test-role'" + ) + + +@pytest.mark.asyncio +async def test_revoke_role_assignment_not_found(client_with_basic: AsyncClient): + """Test revoking non-existent assignment.""" + # Create role + await client_with_basic.post("/roles/", json={"name": "test-role"}) + + # Try to revoke assignment that doesn't exist + response = await client_with_basic.delete( + "/roles/test-role/assignments/nonexistent-user", + ) + assert response.status_code == 404 + + +@pytest.mark.asyncio +async def test_audit_logging_for_role_assignments( + client_with_basic: AsyncClient, + session: AsyncSession, +): + """Test that role assignment operations are logged for SOX compliance.""" + # Create role + await client_with_basic.post("/roles/", json={"name": "audit-assignment-role"}) + + # Get a user + user_result = await session.execute(select(User).limit(1)) + user = user_result.scalar_one() + + # Create assignment + create_response = await client_with_basic.post( + "/roles/audit-assignment-role/assign", + json={"principal_username": user.username}, + ) + assert create_response.status_code == 201 + + # Check CREATE was logged + history_result = await session.execute( + select(History) + .where( + History.entity_type == EntityType.ROLE_ASSIGNMENT, + History.activity_type == ActivityType.CREATE, + ) + .order_by(History.created_at.desc()) + .limit(1), + ) + create_log = history_result.scalar_one_or_none() + assert create_log is not None + assert create_log.post["principal_id"] == user.id + assert create_log.post["role_name"] == "audit-assignment-role" + + # Revoke assignment + await client_with_basic.delete( + f"/roles/audit-assignment-role/assignments/{user.username}", + ) + + # Check DELETE was logged + history_result = await session.execute( + select(History) + .where( + History.entity_type == EntityType.ROLE_ASSIGNMENT, + History.activity_type == ActivityType.DELETE, + ) + .order_by(History.created_at.desc()) + .limit(1), + ) + delete_log = history_result.scalar_one_or_none() + assert delete_log is not None + assert delete_log.pre["principal_username"] == user.username + assert delete_log.pre["role_name"] == "audit-assignment-role" diff --git a/datajunction-server/tests/api/routers_test.py b/datajunction-server/tests/api/routers_test.py new file mode 100644 index 000000000..06b2ac198 --- /dev/null +++ b/datajunction-server/tests/api/routers_test.py @@ -0,0 +1,35 @@ +""" +Tests for the custom API routers. +""" + +import pytest +from httpx import AsyncClient + + +@pytest.mark.asyncio +async def test_api_router_trailing_slashes( + client_with_basic: AsyncClient, +) -> None: + """ + Test that the API router used by our endpoints will send both routes without + trailing slashes and those with trailing slashes to right place. + """ + response = await client_with_basic.get("/attributes/") + assert response.status_code in (200, 201) + assert len(response.json()) > 0 + + response = await client_with_basic.get("/attributes") + assert response.status_code in (200, 201) + assert len(response.json()) > 0 + + response = await client_with_basic.get("/namespaces/") + assert response.status_code in (200, 201) + assert len(response.json()) > 0 + + response = await client_with_basic.get("/namespaces") + assert response.status_code in (200, 201) + assert len(response.json()) > 0 + + response = await client_with_basic.get("/namespaces/basic?type_=source") + assert response.status_code in (200, 201) + assert len(response.json()) > 0 diff --git a/datajunction-server/tests/api/sql_test.py b/datajunction-server/tests/api/sql_test.py new file mode 100644 index 000000000..ca4c742f5 --- /dev/null +++ b/datajunction-server/tests/api/sql_test.py @@ -0,0 +1,5112 @@ +"""Tests for the /sql/ endpoint""" + +import duckdb +import pytest +from httpx import AsyncClient, Response +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.column import Column +from datajunction_server.database.database import Database +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.queryrequest import QueryBuildType, QueryRequest +from datajunction_server.database.user import User +from datajunction_server.internal.access.authorization import AuthorizationService +from datajunction_server.models import access +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing.types import IntegerType, StringType +from tests.sql.utils import compare_query_strings + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="Bad test setup") +async def test_sql( + session: AsyncSession, + client: AsyncClient, + current_user: User, +) -> None: + """ + Test ``GET /sql/{name}/``. + """ + database = Database(name="test", URI="blah://", tables=[]) + + source_node = Node( + name="default.my_table", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source_node_rev = NodeRevision( + name=source_node.name, + node=source_node, + version="1", + schema_="rev", + table="my_table", + columns=[Column(name="one", type=StringType(), order=0)], + type=NodeType.SOURCE, + created_by_id=current_user.id, + ) + + node = Node( + name="default.a_metric", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + node_revision = NodeRevision( + name=node.name, + node=node, + version="1", + query="SELECT COUNT(*) FROM default.my_table", + type=NodeType.METRIC, + created_by_id=current_user.id, + columns=[Column(name="col0", type=IntegerType(), order=0)], + ) + node_revision.parents = [source_node] + session.add(database) + session.add(node_revision) + session.add(source_node_rev) + await session.commit() + + response = (await client.get("/sql/default.a_metric/")).json() + assert compare_query_strings( + response["sql"], + "SELECT COUNT(*) default_DOT_a_metric \n FROM rev.my_table AS default_DOT_my_table\n", + ) + assert response["columns"] == [ + { + "column": "a_metric", + "name": "default_DOT_a_metric", + "node": "default", + "type": "bigint", + "semantic_type": None, + "semantic_entity": "default.a_metric", + }, + ] + assert response["dialect"] is None + + +@pytest.fixture +def transform_node_sql_request(client_with_roads: AsyncClient): + """ + Request SQL for a transform node + GET `/sql/default.repair_orders_fact` + """ + + async def _make_request() -> Response: + transform_node_sql_params = { + "dimensions": [ + "default.dispatcher.company_name", + "default.hard_hat.state", + "default.hard_hat.hard_hat_id", + ], + "filters": ["default.hard_hat.state = 'CA'"], + "limit": 200, + "orderby": ["default.dispatcher.company_name ASC"], + } + response = await client_with_roads.get( + "/sql/default.repair_orders_fact", + params=transform_node_sql_params, + ) + return response + + return _make_request + + +@pytest.fixture +def measures_sql_request(client_with_roads: AsyncClient): + """ + Request measures SQL for some metrics + GET `/sql/measures` + """ + + async def _make_request() -> Response: + measures_sql_params = { + "metrics": ["default.num_repair_orders", "default.total_repair_cost"], + "dimensions": [ + "default.dispatcher.company_name", + "default.hard_hat.state", + ], + "filters": ["default.hard_hat.state = 'CA'"], + "include_all_columns": True, + } + response = await client_with_roads.get( + "/sql/measures/v2", + params=measures_sql_params, + ) + return response + + return _make_request + + +@pytest.fixture +def metrics_sql_request(client_with_roads: AsyncClient): + """ + Request metrics SQL for some metrics + GET `/sql` + """ + + async def _make_request() -> Response: + metrics_sql_params = { + "metrics": ["default.num_repair_orders", "default.total_repair_cost"], + "dimensions": [ + "default.dispatcher.company_name", + "default.hard_hat.state", + ], + "filters": ["default.hard_hat.state = 'CA'"], + "orderby": ["default.num_repair_orders DESC", "default.hard_hat.state"], + "limit": 50, + } + return await client_with_roads.get( + "/sql", + params=metrics_sql_params, + ) + + return _make_request + + +@pytest.fixture +def update_transform_node(client_with_roads: AsyncClient): + """ + Update transform node with a simplified query + """ + + async def _make_request() -> Response: + response = await client_with_roads.patch( + "/nodes/default.repair_orders_fact", + json={ + "query": """SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost + FROM + default.repair_orders repair_orders + JOIN + default.repair_order_details repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id""", + }, + ) + + response = await client_with_roads.post( + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.municipality_dim", + "join_type": "inner", + "join_on": ( + "default.repair_orders_fact.municipality_id = default.municipality_dim.municipality_id" + ), + }, + ) + + response = await client_with_roads.post( + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.hard_hat", + "join_type": "inner", + "join_on": ( + "default.repair_orders_fact.hard_hat_id = default.hard_hat.hard_hat_id" + ), + }, + ) + + response = await client_with_roads.post( + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.hard_hat_to_delete", + "join_type": "left", + "join_on": ( + "default.repair_orders_fact.hard_hat_id = default.hard_hat_to_delete.hard_hat_id" + ), + }, + ) + + response = await client_with_roads.post( + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.dispatcher", + "join_type": "inner", + "join_on": ( + "default.repair_orders_fact.dispatcher_id = default.dispatcher.dispatcher_id" + ), + }, + ) + return response + + return _make_request + + +async def get_query_requests(session: AsyncSession, query_type: QueryBuildType): + """ + Get all query requests of the specific query type + """ + return ( + ( + await session.execute( + select(QueryRequest) + .where( + QueryRequest.query_type == query_type, + ) + .order_by(QueryRequest.created_at.asc()), + ) + ) + .scalars() + .all() + ) + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="Not saving to query requests") +async def test_saving_node_sql_requests( + session: AsyncSession, + client_with_roads: AsyncClient, + transform_node_sql_request, + update_transform_node, +) -> None: + """ + Test different scenarios involving saving and reusing cached query requests when + requesting node SQL for a transform. + """ + response = await transform_node_sql_request() + + # Check that this query request has been saved + query_request = await get_query_requests(session, QueryBuildType.NODE) + assert len(query_request) == 1 + assert query_request[0].nodes == ["default.repair_orders_fact@v1.0"] + assert query_request[0].parents == [ + "default.repair_order_details@v1.0", + "default.repair_orders@v1.0", + ] + assert query_request[0].dimensions == [ + "default.dispatcher.company_name@v1.0", + "default.hard_hat.state@v1.0", + "default.hard_hat.hard_hat_id@v1.0", + ] + assert query_request[0].filters == ["default.hard_hat.state@v1.0 = 'CA'"] + assert query_request[0].orderby == [ + "default.dispatcher.company_name@v1.0 ASC", + ] + assert query_request[0].limit == 200 + assert query_request[0].query_type == QueryBuildType.NODE + assert query_request[0].query.strip() == response.json()["sql"].strip() + assert query_request[0].columns == response.json()["columns"] + + # Requesting it again should reuse the saved request + await transform_node_sql_request() + query_requests = await get_query_requests(session, QueryBuildType.NODE) + assert len(query_requests) == 1 + + # Update the transform node to a query that invalidates the SQL request + response = await client_with_roads.patch( + "/nodes/default.repair_orders_fact", + json={ + "query": """SELECT + repair_orders.repair_order_id + FROM + default.repair_orders repair_orders""", + }, + ) + assert response.status_code == 200 + + # This should now trigger error messages when requesting SQL + response = await transform_node_sql_request() + assert ( + "are not available dimensions on default.repair_orders_fact" + in response.json()["message"] + ) + + # Update the transform node with a new query + response = await update_transform_node() + assert response.status_code == 201 + + response = (await transform_node_sql_request()).json() + + # Check that the node update triggered an updated query request to be saved. Note that + # default.repair_orders_fact's version gets bumped, but default.hard_hat will stay the same + query_request = await get_query_requests(session, QueryBuildType.NODE) + assert len(query_request) == 2 + assert query_request[1].nodes == ["default.repair_orders_fact@v3.0"] + assert query_request[1].parents == [ + "default.repair_order_details@v1.0", + "default.repair_orders@v1.0", + ] + assert query_request[1].dimensions == [ + "default.dispatcher.company_name@v1.0", + "default.hard_hat.state@v1.0", + "default.hard_hat.hard_hat_id@v1.0", + ] + assert query_request[1].filters == ["default.hard_hat.state@v1.0 = 'CA'"] + assert query_request[1].orderby == [ + "default.dispatcher.company_name@v1.0 ASC", + ] + assert query_request[1].limit == 200 + assert query_request[1].query_type == QueryBuildType.NODE + assert query_request[1].query.strip() == response["sql"].strip() + assert query_request[1].columns == response["columns"] + + # Update the dimension node default.hard_hat with a new query + response = await client_with_roads.patch( + "/nodes/default.hard_hat", + json={"query": "SELECT hard_hat_id, state FROM default.hard_hats"}, + ) + assert response.status_code == 200 + + # Request the same node query again + response = (await transform_node_sql_request()).json() + + # Check that the dimension node update triggered an updated query request to be saved. Now + # default.repair_orders_fact's version remains the same, but default.hard_hat gets bumped + query_request = await get_query_requests(session, QueryBuildType.NODE) + assert len(query_request) == 3 + assert query_request[2].nodes == ["default.repair_orders_fact@v3.0"] + assert query_request[2].parents == [ + "default.repair_order_details@v1.0", + "default.repair_orders@v1.0", + ] + assert query_request[2].dimensions == [ + "default.dispatcher.company_name@v1.0", + "default.hard_hat.state@v2.0", + "default.hard_hat.hard_hat_id@v2.0", + ] + assert query_request[2].filters == ["default.hard_hat.state@v2.0 = 'CA'"] + assert query_request[2].orderby == [ + "default.dispatcher.company_name@v1.0 ASC", + ] + assert query_request[2].limit == 200 + assert query_request[2].query_type == QueryBuildType.NODE + assert query_request[2].query.strip() == response["sql"].strip() + assert query_request[2].columns == response["columns"] + + # Remove a dimension node link to default.hard_hat + response = await client_with_roads.request( + "DELETE", + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.hard_hat", + }, + ) + assert response.status_code == 201 + + # Now requesting metrics SQL with default.hard_hat.state should fail + response = (await transform_node_sql_request()).json() + assert response["message"] == ( + "default.hard_hat.hard_hat_id, default.hard_hat.state are not available dimensions " + "on default.repair_orders_fact" + ) + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="Not saving v2 measures SQL to cache for the time being") +async def test_saving_measures_sql_requests( + session: AsyncSession, + client_with_roads: AsyncClient, + measures_sql_request, + update_transform_node, +) -> None: + """ + Test saving query request while requesting measures SQL for a set of metrics + dimensions + filters. It also checks that additional arguments like `include_all_columns` are recorded + in the query request key. + - Requesting metrics SQL (for a set of metrics + dimensions) + """ + response = (await measures_sql_request()).json() + + # Check that the measures SQL request was saved + query_requests = await get_query_requests(session, QueryBuildType.MEASURES) + assert len(query_requests) == 1 + assert query_requests[0].nodes == [ + "default.num_repair_orders@v1.0", + "default.total_repair_cost@v1.0", + ] + assert query_requests[0].dimensions == [ + "default.dispatcher.company_name@v1.0", + "default.hard_hat.state@v1.0", + ] + assert query_requests[0].filters == ["default.hard_hat.state@v1.0 = 'CA'"] + assert query_requests[0].orderby == [] + assert query_requests[0].limit is None + assert query_requests[0].query_type == QueryBuildType.MEASURES + assert query_requests[0].other_args == {"include_all_columns": True} + assert query_requests[0].query.strip() == response[0]["sql"].strip() + assert query_requests[0].columns == response["columns"] + + # Requesting it again should reuse the saved request + await measures_sql_request() + query_requests = await get_query_requests(session, QueryBuildType.MEASURES) + assert len(query_requests) == 1 + + # Update the underlying transform behind the metrics + response = await update_transform_node() + assert response.status_code == 200 + response = (await measures_sql_request()).json() + + # Check that the measures SQL request was saved + query_requests = await get_query_requests(session, QueryBuildType.MEASURES) + assert len(query_requests) == 2 + assert query_requests[1].nodes == [ + "default.num_repair_orders@v1.0", + "default.total_repair_cost@v1.0", + ] + assert query_requests[1].parents == [ + "default.repair_order_details@v1.0", + "default.repair_orders@v1.0", + "default.repair_orders_fact@v2.0", + ] + assert query_requests[1].dimensions == [ + "default.dispatcher.company_name@v1.0", + "default.hard_hat.state@v1.0", + ] + assert query_requests[1].filters == ["default.hard_hat.state@v1.0 = 'CA'"] + assert query_requests[1].orderby == [] + assert query_requests[1].limit is None + assert query_requests[1].query_type == QueryBuildType.MEASURES + assert query_requests[1].other_args == {"include_all_columns": True} + assert query_requests[1].query.strip() == response["sql"].strip() + assert query_requests[1].columns == response["columns"] + + # Remove a dimension node link to default.hard_hat + response = await client_with_roads.request( + "DELETE", + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.hard_hat", + }, + ) + assert response.status_code == 201 + + # And requesting measures SQL with default.hard_hat.state should fail + response = (await measures_sql_request()).json() + assert response["message"] == ( + "default.hard_hat.state are not available dimensions on default.num_repair_orders, default.total_repair_cost" + ) + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="Not saving to query requests") +async def test_saving_metrics_sql_requests( + session: AsyncSession, + client_with_roads: AsyncClient, + metrics_sql_request, + update_transform_node, +) -> None: + """ + Requesting metrics SQL for a set of metrics + dimensions + filters + """ + response = (await metrics_sql_request()).json() + + # Check that the metrics SQL request was saved + query_request = await get_query_requests(session, QueryBuildType.METRICS) + assert len(query_request) == 1 + assert query_request[0].nodes == [ + "default.num_repair_orders@v1.0", + "default.total_repair_cost@v1.0", + ] + assert query_request[0].parents == [ + "default.repair_order_details@v1.0", + "default.repair_orders@v1.0", + "default.repair_orders_fact@v1.0", + ] + assert query_request[0].dimensions == [ + "default.dispatcher.company_name@v1.0", + "default.hard_hat.state@v1.0", + ] + assert query_request[0].filters == ["default.hard_hat.state@v1.0 = 'CA'"] + assert query_request[0].orderby == [ + "default.num_repair_orders@v1.0 DESC", + "default.hard_hat.state@v1.0", + ] + assert query_request[0].limit == 50 + assert query_request[0].engine_name is None + assert query_request[0].engine_version is None + assert query_request[0].other_args == {} + + assert query_request[0].query_type == QueryBuildType.METRICS + assert query_request[0].query.strip() == response["sql"].strip() + assert query_request[0].columns == response["columns"] + + # Requesting it again should reuse the cached values + await metrics_sql_request() + query_request = await get_query_requests(session, QueryBuildType.METRICS) + assert len(query_request) == 1 + + # Patch the underlying transform with a new query + await update_transform_node() + + # Now requesting metrics SQL should not use the cached entry + response = (await metrics_sql_request()).json() + + # Check that a new metrics SQL request was saved + query_request = await get_query_requests(session, QueryBuildType.METRICS) + assert len(query_request) == 2 + assert query_request[1].nodes == [ + "default.num_repair_orders@v1.0", + "default.total_repair_cost@v1.0", + ] + assert query_request[1].parents == [ + "default.repair_order_details@v1.0", + "default.repair_orders@v1.0", + "default.repair_orders_fact@v2.0", + ] + assert query_request[1].dimensions == [ + "default.dispatcher.company_name@v1.0", + "default.hard_hat.state@v1.0", + ] + assert query_request[1].filters == ["default.hard_hat.state@v1.0 = 'CA'"] + assert query_request[1].orderby == [ + "default.num_repair_orders@v1.0 DESC", + "default.hard_hat.state@v1.0", + ] + assert query_request[1].limit == 50 + assert query_request[1].engine_name is None + assert query_request[1].engine_version is None + assert query_request[1].other_args == {} + + assert query_request[1].query_type == QueryBuildType.METRICS + assert query_request[1].query.strip() == response["sql"].strip() + assert query_request[1].columns == response["columns"] + + # Request metrics SQL without dimensions, filters, limit or orderby + metrics_sql_params = { + "metrics": ["default.num_repair_orders", "default.total_repair_cost"], + } + response = ( + await client_with_roads.get( + "/sql", + params=metrics_sql_params, + ) + ).json() + + # Check the query request entry that was saved + query_request = await get_query_requests(session, QueryBuildType.METRICS) + assert len(query_request) == 3 + assert query_request[2].nodes == [ + "default.num_repair_orders@v1.0", + "default.total_repair_cost@v1.0", + ] + assert query_request[2].parents == [ + "default.repair_order_details@v1.0", + "default.repair_orders@v1.0", + "default.repair_orders_fact@v2.0", + ] + assert query_request[2].dimensions == [] + assert query_request[2].filters == [] + assert query_request[2].orderby == [] + assert query_request[2].limit is None + assert query_request[2].engine_name is None + assert query_request[2].engine_version is None + assert query_request[2].other_args == {} + + assert query_request[2].query_type == QueryBuildType.METRICS + assert query_request[2].query.strip() == response["sql"].strip() + assert query_request[2].columns == response["columns"] + + # Request it again and check that no new entry was created + await client_with_roads.get( + "/sql", + params=metrics_sql_params, + ) + query_request = await get_query_requests(session, QueryBuildType.METRICS) + assert len(query_request) == 3 + + +async def verify_node_sql( + custom_client: AsyncClient, + node_name: str, + dimensions, + filters, + expected_sql, + expected_columns, + expected_rows, +): + """ + Verifies node SQL generation. + """ + response = await custom_client.get( + f"/sql/{node_name}/", + params={"dimensions": dimensions, "filters": filters}, + ) + sql_data = response.json() + # Run the query against local duckdb file if it's part of the roads model + # response = await custom_client.get( + # f"/data/{node_name}/", + # params={"dimensions": dimensions, "filters": filters}, + # ) + # data = response.json() + # assert data["results"][0]["rows"] == expected_rows + assert str(parse(str(sql_data["sql"]))) == str(parse(str(expected_sql))) + assert sql_data["columns"] == expected_columns + + +@pytest.mark.asyncio +async def test_transform_sql_filter_joinable_dimension( + module__client_with_examples: AsyncClient, +): + """ + Test ``GET /sql/{node_name}/`` with various filters and dimensions. + """ + await verify_node_sql( + module__client_with_examples, + node_name="default.repair_orders_fact", + dimensions=["default.hard_hat.first_name", "default.hard_hat.last_name"], + filters=["default.hard_hat.state = 'NY'"], + expected_sql=""" + WITH + default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.state = 'NY' + ) + SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.municipality_id default_DOT_repair_orders_fact_DOT_municipality_id, + default_DOT_repair_orders_fact.hard_hat_id default_DOT_repair_orders_fact_DOT_hard_hat_id, + default_DOT_repair_orders_fact.dispatcher_id default_DOT_repair_orders_fact_DOT_dispatcher_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.dispatched_date default_DOT_repair_orders_fact_DOT_dispatched_date, + default_DOT_repair_orders_fact.required_date default_DOT_repair_orders_fact_DOT_required_date, + default_DOT_repair_orders_fact.discount default_DOT_repair_orders_fact_DOT_discount, + default_DOT_repair_orders_fact.price default_DOT_repair_orders_fact_DOT_price, + default_DOT_repair_orders_fact.quantity default_DOT_repair_orders_fact_DOT_quantity, + default_DOT_repair_orders_fact.repair_type_id default_DOT_repair_orders_fact_DOT_repair_type_id, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_repair_orders_fact.time_to_dispatch default_DOT_repair_orders_fact_DOT_time_to_dispatch, + default_DOT_repair_orders_fact.dispatch_delay default_DOT_repair_orders_fact_DOT_dispatch_delay, + default_DOT_hard_hat.first_name default_DOT_hard_hat_DOT_first_name, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + WHERE default_DOT_hard_hat.state = 'NY' + """, + expected_columns=[ + { + "column": "repair_order_id", + "name": "default_DOT_repair_orders_fact_DOT_repair_order_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_order_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "municipality_id", + "name": "default_DOT_repair_orders_fact_DOT_municipality_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.municipality_id", + "semantic_type": None, + "type": "string", + }, + { + "column": "hard_hat_id", + "name": "default_DOT_repair_orders_fact_DOT_hard_hat_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.hard_hat_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "dispatcher_id", + "name": "default_DOT_repair_orders_fact_DOT_dispatcher_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatcher_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "order_date", + "name": "default_DOT_repair_orders_fact_DOT_order_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.order_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatched_date", + "name": "default_DOT_repair_orders_fact_DOT_dispatched_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatched_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "required_date", + "name": "default_DOT_repair_orders_fact_DOT_required_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.required_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "discount", + "name": "default_DOT_repair_orders_fact_DOT_discount", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.discount", + "semantic_type": None, + "type": "float", + }, + { + "column": "price", + "name": "default_DOT_repair_orders_fact_DOT_price", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price", + "semantic_type": None, + "type": "float", + }, + { + "column": "quantity", + "name": "default_DOT_repair_orders_fact_DOT_quantity", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.quantity", + "semantic_type": None, + "type": "int", + }, + { + "column": "repair_type_id", + "name": "default_DOT_repair_orders_fact_DOT_repair_type_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_type_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "total_repair_cost", + "name": "default_DOT_repair_orders_fact_DOT_total_repair_cost", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.total_repair_cost", + "semantic_type": None, + "type": "float", + }, + { + "column": "time_to_dispatch", + "name": "default_DOT_repair_orders_fact_DOT_time_to_dispatch", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.time_to_dispatch", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatch_delay", + "name": "default_DOT_repair_orders_fact_DOT_dispatch_delay", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatch_delay", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "first_name", + "name": "default_DOT_hard_hat_DOT_first_name", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.first_name", + "semantic_type": None, + "type": "string", + }, + { + "column": "last_name", + "name": "default_DOT_hard_hat_DOT_last_name", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.last_name", + "semantic_type": None, + "type": "string", + }, + { + "column": "state", + "name": "default_DOT_hard_hat_DOT_state", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.state", + "semantic_type": None, + "type": "string", + }, + ], + expected_rows=[ + [ + 10021, + "Philadelphia", + 7, + 3, + "2007-05-10", + "2007-12-01", + "2009-08-27", + 0.009999999776482582, + 53374.0, + 1, + 1, + 53374.0, + 205, + -635, + "Boone", + "William", + "NY", + ], + ], + ) + + +@pytest.mark.asyncio +async def test_transform_sql_filter_dimension_pk_col( + module__client_with_examples: AsyncClient, +): + """ + Test ``GET /sql/{node_name}/`` with various filters and dimensions. + """ + await verify_node_sql( + module__client_with_examples, + node_name="default.repair_orders_fact", + dimensions=["default.hard_hat.hard_hat_id"], + filters=["default.hard_hat.hard_hat_id = 7"], + expected_sql=""" + WITH default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + WHERE repair_orders.hard_hat_id = 7 + ) + SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.municipality_id default_DOT_repair_orders_fact_DOT_municipality_id, + default_DOT_repair_orders_fact.hard_hat_id default_DOT_hard_hat_DOT_hard_hat_id, + default_DOT_repair_orders_fact.dispatcher_id default_DOT_repair_orders_fact_DOT_dispatcher_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.dispatched_date default_DOT_repair_orders_fact_DOT_dispatched_date, + default_DOT_repair_orders_fact.required_date default_DOT_repair_orders_fact_DOT_required_date, + default_DOT_repair_orders_fact.discount default_DOT_repair_orders_fact_DOT_discount, + default_DOT_repair_orders_fact.price default_DOT_repair_orders_fact_DOT_price, + default_DOT_repair_orders_fact.quantity default_DOT_repair_orders_fact_DOT_quantity, + default_DOT_repair_orders_fact.repair_type_id default_DOT_repair_orders_fact_DOT_repair_type_id, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_repair_orders_fact.time_to_dispatch default_DOT_repair_orders_fact_DOT_time_to_dispatch, + default_DOT_repair_orders_fact.dispatch_delay default_DOT_repair_orders_fact_DOT_dispatch_delay + FROM default_DOT_repair_orders_fact + WHERE default_DOT_repair_orders_fact.hard_hat_id = 7 + """, + expected_columns=[ + { + "column": "repair_order_id", + "name": "default_DOT_repair_orders_fact_DOT_repair_order_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_order_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "municipality_id", + "name": "default_DOT_repair_orders_fact_DOT_municipality_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.municipality_id", + "semantic_type": None, + "type": "string", + }, + { + "column": "hard_hat_id", + "name": "default_DOT_hard_hat_DOT_hard_hat_id", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.hard_hat_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "column": "dispatcher_id", + "name": "default_DOT_repair_orders_fact_DOT_dispatcher_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatcher_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "order_date", + "name": "default_DOT_repair_orders_fact_DOT_order_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.order_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatched_date", + "name": "default_DOT_repair_orders_fact_DOT_dispatched_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatched_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "required_date", + "name": "default_DOT_repair_orders_fact_DOT_required_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.required_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "discount", + "name": "default_DOT_repair_orders_fact_DOT_discount", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.discount", + "semantic_type": None, + "type": "float", + }, + { + "column": "price", + "name": "default_DOT_repair_orders_fact_DOT_price", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price", + "semantic_type": None, + "type": "float", + }, + { + "column": "quantity", + "name": "default_DOT_repair_orders_fact_DOT_quantity", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.quantity", + "semantic_type": None, + "type": "int", + }, + { + "column": "repair_type_id", + "name": "default_DOT_repair_orders_fact_DOT_repair_type_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_type_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "total_repair_cost", + "name": "default_DOT_repair_orders_fact_DOT_total_repair_cost", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.total_repair_cost", + "semantic_type": None, + "type": "float", + }, + { + "column": "time_to_dispatch", + "name": "default_DOT_repair_orders_fact_DOT_time_to_dispatch", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.time_to_dispatch", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatch_delay", + "name": "default_DOT_repair_orders_fact_DOT_dispatch_delay", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatch_delay", + "semantic_type": None, + "type": "timestamp", + }, + ], + expected_rows=[ + [ + 10021, + "Philadelphia", + 7, + 3, + "2007-05-10", + "2007-12-01", + "2009-08-27", + 0.009999999776482582, + 53374.0, + 1, + 1, + 53374.0, + 205, + -635, + ], + ], + ) + + +@pytest.mark.asyncio +async def test_transform_sql_filter_direct_node( + module__client_with_examples: AsyncClient, +): + """ + Test ``GET /sql/{node_name}/`` with various filters and dimensions. + """ + await verify_node_sql( + module__client_with_examples, + node_name="default.repair_orders_fact", + dimensions=[], + filters=["default.repair_orders_fact.price > 97915"], + expected_sql="""WITH + default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + WHERE repair_order_details.price > 97915 + ) + SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.municipality_id default_DOT_repair_orders_fact_DOT_municipality_id, + default_DOT_repair_orders_fact.hard_hat_id default_DOT_repair_orders_fact_DOT_hard_hat_id, + default_DOT_repair_orders_fact.dispatcher_id default_DOT_repair_orders_fact_DOT_dispatcher_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.dispatched_date default_DOT_repair_orders_fact_DOT_dispatched_date, + default_DOT_repair_orders_fact.required_date default_DOT_repair_orders_fact_DOT_required_date, + default_DOT_repair_orders_fact.discount default_DOT_repair_orders_fact_DOT_discount, + default_DOT_repair_orders_fact.price default_DOT_repair_orders_fact_DOT_price, + default_DOT_repair_orders_fact.quantity default_DOT_repair_orders_fact_DOT_quantity, + default_DOT_repair_orders_fact.repair_type_id default_DOT_repair_orders_fact_DOT_repair_type_id, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_repair_orders_fact.time_to_dispatch default_DOT_repair_orders_fact_DOT_time_to_dispatch, + default_DOT_repair_orders_fact.dispatch_delay default_DOT_repair_orders_fact_DOT_dispatch_delay + FROM default_DOT_repair_orders_fact + """, + expected_columns=[ + { + "column": "repair_order_id", + "name": "default_DOT_repair_orders_fact_DOT_repair_order_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_order_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "municipality_id", + "name": "default_DOT_repair_orders_fact_DOT_municipality_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.municipality_id", + "semantic_type": None, + "type": "string", + }, + { + "column": "hard_hat_id", + "name": "default_DOT_repair_orders_fact_DOT_hard_hat_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.hard_hat_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "dispatcher_id", + "name": "default_DOT_repair_orders_fact_DOT_dispatcher_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatcher_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "order_date", + "name": "default_DOT_repair_orders_fact_DOT_order_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.order_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatched_date", + "name": "default_DOT_repair_orders_fact_DOT_dispatched_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatched_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "required_date", + "name": "default_DOT_repair_orders_fact_DOT_required_date", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.required_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "discount", + "name": "default_DOT_repair_orders_fact_DOT_discount", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.discount", + "semantic_type": None, + "type": "float", + }, + { + "column": "price", + "name": "default_DOT_repair_orders_fact_DOT_price", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price", + "semantic_type": None, + "type": "float", + }, + { + "column": "quantity", + "name": "default_DOT_repair_orders_fact_DOT_quantity", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.quantity", + "semantic_type": None, + "type": "int", + }, + { + "column": "repair_type_id", + "name": "default_DOT_repair_orders_fact_DOT_repair_type_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.repair_type_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "total_repair_cost", + "name": "default_DOT_repair_orders_fact_DOT_total_repair_cost", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.total_repair_cost", + "semantic_type": None, + "type": "float", + }, + { + "column": "time_to_dispatch", + "name": "default_DOT_repair_orders_fact_DOT_time_to_dispatch", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.time_to_dispatch", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatch_delay", + "name": "default_DOT_repair_orders_fact_DOT_dispatch_delay", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.dispatch_delay", + "semantic_type": None, + "type": "timestamp", + }, + ], + expected_rows=[ + [ + 10019, + "Philadelphia", + 5, + 3, + "2007-05-16", + "2007-12-01", + "2009-09-06", + 0.009999999776482582, + 97916.0, + 1, + 2, + 97916.0, + 199, + -645, + ], + ], + ) + + +@pytest.mark.asyncio +async def test_source_node_query_with_filter_joinable_dimension( + module__client_with_examples: AsyncClient, +): + """ + Verify querying on source node with filter on joinable dimension + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.repair_orders", + dimensions=["default.hard_hat.state"], + filters=["default.hard_hat.state='NY'"], + expected_sql=""" + WITH default_DOT_repair_orders AS ( + SELECT default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM roads.repair_orders AS default_DOT_repair_orders + ), + default_DOT_repair_order AS ( + SELECT default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM roads.repair_orders AS default_DOT_repair_orders + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.state = 'NY' + ) + + SELECT default_DOT_repair_orders.repair_order_id default_DOT_repair_orders_DOT_repair_order_id, + default_DOT_repair_orders.municipality_id default_DOT_repair_orders_DOT_municipality_id, + default_DOT_repair_orders.hard_hat_id default_DOT_repair_orders_DOT_hard_hat_id, + default_DOT_repair_orders.order_date default_DOT_repair_orders_DOT_order_date, + default_DOT_repair_orders.required_date default_DOT_repair_orders_DOT_required_date, + default_DOT_repair_orders.dispatched_date default_DOT_repair_orders_DOT_dispatched_date, + default_DOT_repair_orders.dispatcher_id default_DOT_repair_orders_DOT_dispatcher_id, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state + FROM default_DOT_repair_orders INNER JOIN default_DOT_repair_order ON default_DOT_repair_orders.repair_order_id = default_DOT_repair_order.repair_order_id + INNER JOIN default_DOT_hard_hat ON default_DOT_repair_order.hard_hat_id = default_DOT_hard_hat.hard_hat_id + WHERE default_DOT_hard_hat.state = 'NY' + """, + expected_columns=[ + { + "column": "repair_order_id", + "name": "default_DOT_repair_orders_DOT_repair_order_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.repair_order_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "municipality_id", + "name": "default_DOT_repair_orders_DOT_municipality_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.municipality_id", + "semantic_type": None, + "type": "string", + }, + { + "column": "hard_hat_id", + "name": "default_DOT_repair_orders_DOT_hard_hat_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.hard_hat_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "order_date", + "name": "default_DOT_repair_orders_DOT_order_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.order_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "required_date", + "name": "default_DOT_repair_orders_DOT_required_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.required_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatched_date", + "name": "default_DOT_repair_orders_DOT_dispatched_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.dispatched_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatcher_id", + "name": "default_DOT_repair_orders_DOT_dispatcher_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.dispatcher_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "state", + "name": "default_DOT_hard_hat_DOT_state", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.state", + "semantic_type": None, + "type": "string", + }, + ], + expected_rows=[ + [ + 10021, + "Philadelphia", + 7, + "2007-05-10", + "2009-08-27", + "2007-12-01", + 3, + "NY", + ], + ], + ) + + +@pytest.mark.asyncio +async def test_source_node_sql_with_direct_filters( + module__client_with_examples: AsyncClient, +): + """ + Verify source node query generation with direct filters on the node. + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.repair_orders", + dimensions=[], + filters=["default.repair_orders.order_date='2009-08-14'"], + expected_sql=""" + WITH + default_DOT_repair_orders AS ( + SELECT + default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM ( + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM roads.repair_orders + WHERE order_date = '2009-08-14' + ) default_DOT_repair_orders + WHERE default_DOT_repair_orders.order_date = '2009-08-14' + ) + + SELECT + default_DOT_repair_orders.repair_order_id default_DOT_repair_orders_DOT_repair_order_id, + default_DOT_repair_orders.municipality_id default_DOT_repair_orders_DOT_municipality_id, + default_DOT_repair_orders.hard_hat_id default_DOT_repair_orders_DOT_hard_hat_id, + default_DOT_repair_orders.order_date default_DOT_repair_orders_DOT_order_date, + default_DOT_repair_orders.required_date default_DOT_repair_orders_DOT_required_date, + default_DOT_repair_orders.dispatched_date default_DOT_repair_orders_DOT_dispatched_date, + default_DOT_repair_orders.dispatcher_id default_DOT_repair_orders_DOT_dispatcher_id + FROM default_DOT_repair_orders + """, + expected_columns=[ + { + "column": "repair_order_id", + "name": "default_DOT_repair_orders_DOT_repair_order_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.repair_order_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "municipality_id", + "name": "default_DOT_repair_orders_DOT_municipality_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.municipality_id", + "semantic_type": None, + "type": "string", + }, + { + "column": "hard_hat_id", + "name": "default_DOT_repair_orders_DOT_hard_hat_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.hard_hat_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "order_date", + "name": "default_DOT_repair_orders_DOT_order_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.order_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "required_date", + "name": "default_DOT_repair_orders_DOT_required_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.required_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatched_date", + "name": "default_DOT_repair_orders_DOT_dispatched_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.dispatched_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatcher_id", + "name": "default_DOT_repair_orders_DOT_dispatcher_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.dispatcher_id", + "semantic_type": None, + "type": "int", + }, + ], + expected_rows=[], + ) + + +@pytest.mark.asyncio +async def test_dimension_node_sql_with_filters( + module__client_with_examples: AsyncClient, +): + """ + Verify dimension node query generation with direct filters on the node. + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.municipality", + dimensions=[], + filters=["default.municipality.state_id = 5"], + expected_sql=""" + WITH default_DOT_municipality AS ( + SELECT + default_DOT_municipality.municipality_id, + default_DOT_municipality.contact_name, + default_DOT_municipality.contact_title, + default_DOT_municipality.local_region, + default_DOT_municipality.phone, + default_DOT_municipality.state_id + FROM ( + SELECT + municipality_id, + contact_name, + contact_title, + local_region, + phone, + state_id + FROM roads.municipality + WHERE state_id = 5 + ) default_DOT_municipality + WHERE default_DOT_municipality.state_id = 5 + ) + SELECT + default_DOT_municipality.municipality_id default_DOT_municipality_DOT_municipality_id, + default_DOT_municipality.contact_name default_DOT_municipality_DOT_contact_name, + default_DOT_municipality.contact_title default_DOT_municipality_DOT_contact_title, + default_DOT_municipality.local_region default_DOT_municipality_DOT_local_region, + default_DOT_municipality.phone default_DOT_municipality_DOT_phone, + default_DOT_municipality.state_id default_DOT_municipality_DOT_state_id + FROM default_DOT_municipality + """, + expected_columns=[ + { + "column": "municipality_id", + "name": "default_DOT_municipality_DOT_municipality_id", + "node": "default.municipality", + "semantic_entity": "default.municipality.municipality_id", + "semantic_type": None, + "type": "string", + }, + { + "column": "contact_name", + "name": "default_DOT_municipality_DOT_contact_name", + "node": "default.municipality", + "semantic_entity": "default.municipality.contact_name", + "semantic_type": None, + "type": "string", + }, + { + "column": "contact_title", + "name": "default_DOT_municipality_DOT_contact_title", + "node": "default.municipality", + "semantic_entity": "default.municipality.contact_title", + "semantic_type": None, + "type": "string", + }, + { + "column": "local_region", + "name": "default_DOT_municipality_DOT_local_region", + "node": "default.municipality", + "semantic_entity": "default.municipality.local_region", + "semantic_type": None, + "type": "string", + }, + { + "column": "phone", + "name": "default_DOT_municipality_DOT_phone", + "node": "default.municipality", + "semantic_entity": "default.municipality.phone", + "semantic_type": None, + "type": "string", + }, + { + "column": "state_id", + "name": "default_DOT_municipality_DOT_state_id", + "node": "default.municipality", + "semantic_entity": "default.municipality.state_id", + "semantic_type": None, + "type": "int", + }, + ], + expected_rows=[ + [ + "Los Angeles", + "Hugh Moser", + "Administrative Assistant", + "Santa Monica", + "808-211-2323", + 5, + ], + [ + "San Diego", + "Ralph Helms", + "Senior Electrical Project Manager", + "Del Mar", + "491-813-2417", + 5, + ], + [ + "San Jose", + "Charles Carney", + "Municipal Accounting Manager", + "Santana Row", + "408-313-0698", + 5, + ], + ], + ) + + +@pytest.mark.asyncio +async def test_metric_with_node_level_and_nth_order_filters( + module__client_with_examples: AsyncClient, +): + """ + Verify metric SQL generation with filters on dimensions at the metric's + parent node level and filters on nth-order dimensions. + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.num_repair_orders", + dimensions=["default.hard_hat.state"], + filters=[ + "default.repair_orders_fact.dispatcher_id=1 OR " + "default.repair_orders_fact.dispatcher_id is not null", + "default.hard_hat.state='AZ'", + ], + expected_sql=""" + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + WHERE + repair_orders.dispatcher_id = 1 OR repair_orders.dispatcher_id IS NOT NULL + ), default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE + default_DOT_hard_hats.state = 'AZ' + ), + default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + count(default_DOT_repair_orders_fact.repair_order_id) default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + WHERE default_DOT_hard_hat.state = 'AZ' + GROUP BY default_DOT_hard_hat.state + ) + SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_state, + default_DOT_repair_orders_fact_metrics.default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact_metrics + """, + expected_columns=[ + { + "column": "state", + "name": "default_DOT_hard_hat_DOT_state", + "node": "default.hard_hat", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.hard_hat.state", + }, + { + "column": "default_DOT_num_repair_orders", + "name": "default_DOT_num_repair_orders", + "node": "default.num_repair_orders", + "type": "bigint", + "semantic_type": "metric", + "semantic_entity": "default.num_repair_orders.default_DOT_num_repair_orders", + }, + ], + expected_rows=[["AZ", 2]], + ) + + +@pytest.mark.asyncio +async def test_metric_with_nth_order_dimensions_filters( + module__client_with_examples: AsyncClient, +): + """ + Verify metric SQL generation that groups by nth-order dimensions and + filters on nth-order dimensions. + """ + + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.num_repair_orders", + dimensions=[ + "default.hard_hat.city", + "default.hard_hat.last_name", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + filters=[ + "default.dispatcher.dispatcher_id=1", + "default.hard_hat.state != 'AZ'", + "default.dispatcher.phone = '4082021022'", + "default.repair_orders_fact.order_date >= '2020-01-01'", + ], + expected_sql=""" + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM ( + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM roads.repair_orders + WHERE dispatcher_id = 1 + ) repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + WHERE + repair_orders.dispatcher_id = 1 AND repair_orders.order_date >= '2020-01-01' + ), default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE + default_DOT_hard_hats.state != 'AZ' + ), default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + WHERE + default_DOT_dispatchers.dispatcher_id = 1 + AND default_DOT_dispatchers.phone = '4082021022' + ), default_DOT_municipality_dim AS ( + SELECT + m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m + LEFT JOIN roads.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc + ), default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region, + count(default_DOT_repair_orders_fact.repair_order_id) default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim + ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + WHERE default_DOT_dispatcher.dispatcher_id = 1 + AND default_DOT_hard_hat.state != 'AZ' + AND default_DOT_dispatcher.phone = '4082021022' + GROUP BY + default_DOT_hard_hat.city, + default_DOT_hard_hat.last_name, + default_DOT_dispatcher.company_name, + default_DOT_municipality_dim.local_region + ) + SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_city, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_last_name, + default_DOT_repair_orders_fact_metrics.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_metrics.default_DOT_municipality_dim_DOT_local_region, + default_DOT_repair_orders_fact_metrics.default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact_metrics + """, + expected_columns=[ + { + "name": "default_DOT_hard_hat_DOT_city", + "column": "city", + "node": "default.hard_hat", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.hard_hat.city", + }, + { + "name": "default_DOT_hard_hat_DOT_last_name", + "column": "last_name", + "node": "default.hard_hat", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.hard_hat.last_name", + }, + { + "name": "default_DOT_dispatcher_DOT_company_name", + "column": "company_name", + "node": "default.dispatcher", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.dispatcher.company_name", + }, + { + "name": "default_DOT_municipality_dim_DOT_local_region", + "column": "local_region", + "node": "default.municipality_dim", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.municipality_dim.local_region", + }, + { + "name": "default_DOT_num_repair_orders", + "column": "default_DOT_num_repair_orders", + "node": "default.num_repair_orders", + "type": "bigint", + "semantic_type": "metric", + "semantic_entity": "default.num_repair_orders.default_DOT_num_repair_orders", + }, + ], + expected_rows=[], + ) + + +@pytest.mark.asyncio +async def test_metric_with_second_order_dimensions( + module__client_with_examples: AsyncClient, +): + """ + Verify metric SQL generation with group by on second-order dimension. + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.avg_repair_price", + dimensions=["default.hard_hat.city"], + filters=[], + expected_sql=""" + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + avg(default_DOT_repair_orders_fact.price) default_DOT_avg_repair_price + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + GROUP BY default_DOT_hard_hat.city + ) + SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_city, + default_DOT_repair_orders_fact_metrics.default_DOT_avg_repair_price + FROM default_DOT_repair_orders_fact_metrics + """, + expected_columns=[ + { + "column": "city", + "name": "default_DOT_hard_hat_DOT_city", + "node": "default.hard_hat", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.hard_hat.city", + }, + { + "column": "default_DOT_avg_repair_price", + "name": "default_DOT_avg_repair_price", + "node": "default.avg_repair_price", + "type": "double", + "semantic_type": "metric", + "semantic_entity": "default.avg_repair_price.default_DOT_avg_repair_price", + }, + ], + expected_rows=[ + ["Jersey City", 54672.75], + ["Billerica", 76555.33333333333], + ["Southgate", 64190.6], + ["Phoenix", 65682.0], + ["Southampton", 54083.5], + ["Powder Springs", 65595.66666666667], + ["Middletown", 39301.5], + ["Muskogee", 70418.0], + ["Niagara Falls", 53374.0], + ], + ) + + +@pytest.mark.asyncio +async def test_metric_with_nth_order_dimensions( + module__client_with_examples: AsyncClient, +): + """ + Verify metric SQL generation with group by on nth-order dimension. + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.avg_repair_price", + dimensions=["default.hard_hat.city", "default.dispatcher.company_name"], + filters=[], + expected_sql=""" + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id +), default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats +), default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers +), +default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + avg(default_DOT_repair_orders_fact.price) default_DOT_avg_repair_price + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + GROUP BY + default_DOT_hard_hat.city, + default_DOT_dispatcher.company_name +) +SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_city, + default_DOT_repair_orders_fact_metrics.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_metrics.default_DOT_avg_repair_price +FROM default_DOT_repair_orders_fact_metrics + """, + expected_columns=[ + { + "column": "city", + "name": "default_DOT_hard_hat_DOT_city", + "node": "default.hard_hat", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.hard_hat.city", + }, + { + "column": "company_name", + "name": "default_DOT_dispatcher_DOT_company_name", + "node": "default.dispatcher", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.dispatcher.company_name", + }, + { + "column": "default_DOT_avg_repair_price", + "name": "default_DOT_avg_repair_price", + "node": "default.avg_repair_price", + "type": "double", + "semantic_type": "metric", + "semantic_entity": "default.avg_repair_price.default_DOT_avg_repair_price", + }, + ], + expected_rows=[ + ["Jersey City", "Federal Roads Group", 63708.0], + ["Billerica", "Pothole Pete", 67253.0], + ["Southgate", "Asphalts R Us", 57332.5], + ["Jersey City", "Pothole Pete", 51661.0], + ["Phoenix", "Asphalts R Us", 76463.0], + ["Billerica", "Asphalts R Us", 81206.5], + ["Southampton", "Asphalts R Us", 63918.0], + ["Southgate", "Federal Roads Group", 59499.5], + ["Southampton", "Federal Roads Group", 27222.0], + ["Southampton", "Pothole Pete", 62597.0], + ["Phoenix", "Federal Roads Group", 54901.0], + ["Powder Springs", "Asphalts R Us", 66929.5], + ["Middletown", "Federal Roads Group", 39301.5], + ["Muskogee", "Federal Roads Group", 70418.0], + ["Powder Springs", "Pothole Pete", 62928.0], + ["Niagara Falls", "Federal Roads Group", 53374.0], + ["Southgate", "Pothole Pete", 87289.0], + ], + ) + + +@pytest.mark.asyncio +async def test_metric_sql_without_dimensions_filters( + module__client_with_examples: AsyncClient, +): + """ + Verify metric SQL generation without group by dimensions or filters. + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.num_repair_orders", + dimensions=[], + filters=[], + expected_sql=""" + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_repair_orders_fact_metrics AS ( + SELECT + count(default_DOT_repair_orders_fact.repair_order_id) default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact + ) + SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact_metrics + """, + expected_columns=[ + { + "column": "default_DOT_num_repair_orders", + "name": "default_DOT_num_repair_orders", + "node": "default.num_repair_orders", + "type": "bigint", + "semantic_type": "metric", + "semantic_entity": "default.num_repair_orders.default_DOT_num_repair_orders", + }, + ], + expected_rows=[ + [25], + ], + ) + + +@pytest.mark.asyncio +async def test_source_sql_joinable_dimension_and_filter( + module__client_with_examples: AsyncClient, +): + """ + Verify source SQL generation with joinable dimension and filters. + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.repair_orders", + dimensions=["default.hard_hat.state"], + filters=["default.hard_hat.state='NY'"], + expected_sql=""" + WITH default_DOT_repair_orders AS ( + SELECT + default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM roads.repair_orders AS default_DOT_repair_orders + ), + default_DOT_repair_order AS ( + SELECT + default_DOT_repair_orders.repair_order_id, + default_DOT_repair_orders.municipality_id, + default_DOT_repair_orders.hard_hat_id, + default_DOT_repair_orders.order_date, + default_DOT_repair_orders.required_date, + default_DOT_repair_orders.dispatched_date, + default_DOT_repair_orders.dispatcher_id + FROM roads.repair_orders AS default_DOT_repair_orders + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.state = 'NY' + ) + SELECT default_DOT_repair_orders.repair_order_id default_DOT_repair_orders_DOT_repair_order_id, + default_DOT_repair_orders.municipality_id default_DOT_repair_orders_DOT_municipality_id, + default_DOT_repair_orders.hard_hat_id default_DOT_repair_orders_DOT_hard_hat_id, + default_DOT_repair_orders.order_date default_DOT_repair_orders_DOT_order_date, + default_DOT_repair_orders.required_date default_DOT_repair_orders_DOT_required_date, + default_DOT_repair_orders.dispatched_date default_DOT_repair_orders_DOT_dispatched_date, + default_DOT_repair_orders.dispatcher_id default_DOT_repair_orders_DOT_dispatcher_id, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state + FROM default_DOT_repair_orders + INNER JOIN default_DOT_repair_order + ON default_DOT_repair_orders.repair_order_id = default_DOT_repair_order.repair_order_id + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_order.hard_hat_id = default_DOT_hard_hat.hard_hat_id + WHERE default_DOT_hard_hat.state = 'NY' + """, + expected_columns=[ + { + "column": "repair_order_id", + "name": "default_DOT_repair_orders_DOT_repair_order_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.repair_order_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "municipality_id", + "name": "default_DOT_repair_orders_DOT_municipality_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.municipality_id", + "semantic_type": None, + "type": "string", + }, + { + "column": "hard_hat_id", + "name": "default_DOT_repair_orders_DOT_hard_hat_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.hard_hat_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "order_date", + "name": "default_DOT_repair_orders_DOT_order_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.order_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "required_date", + "name": "default_DOT_repair_orders_DOT_required_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.required_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatched_date", + "name": "default_DOT_repair_orders_DOT_dispatched_date", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.dispatched_date", + "semantic_type": None, + "type": "timestamp", + }, + { + "column": "dispatcher_id", + "name": "default_DOT_repair_orders_DOT_dispatcher_id", + "node": "default.repair_orders", + "semantic_entity": "default.repair_orders.dispatcher_id", + "semantic_type": None, + "type": "int", + }, + { + "column": "state", + "name": "default_DOT_hard_hat_DOT_state", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.state", + "semantic_type": None, + "type": "string", + }, + ], + expected_rows=[ + [ + 10021, + "Philadelphia", + 7, + "2007-05-10", + "2009-08-27", + "2007-12-01", + 3, + "NY", + ], + ], + ) + + +@pytest.mark.asyncio +async def test_metric_with_joinable_dimension_multiple_hops( + module__client_with_examples: AsyncClient, +): + """ + Verify metric SQL generation with joinable nth-order dimensions. + """ + await verify_node_sql( + custom_client=module__client_with_examples, + node_name="default.num_repair_orders", + dimensions=["default.us_state.state_short"], + filters=[], + expected_sql=""" + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_hard_hat.state default_DOT_us_state_DOT_state_short, + count(default_DOT_repair_orders_fact.repair_order_id) default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + GROUP BY default_DOT_hard_hat.state + ) + SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_us_state_DOT_state_short, + default_DOT_repair_orders_fact_metrics.default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact_metrics + """, + expected_columns=[ + { + "column": "state_short", + "name": "default_DOT_us_state_DOT_state_short", + "node": "default.us_state", + "type": "string", + "semantic_type": "dimension", + "semantic_entity": "default.us_state.state_short", + }, + { + "column": "default_DOT_num_repair_orders", + "name": "default_DOT_num_repair_orders", + "node": "default.num_repair_orders", + "type": "bigint", + "semantic_type": "metric", + "semantic_entity": "default.num_repair_orders.default_DOT_num_repair_orders", + }, + ], + expected_rows=[ + ["NJ", 4], + ["MA", 3], + ["MI", 5], + ["AZ", 2], + ["PA", 4], + ["GA", 3], + ["CT", 2], + ["OK", 1], + ["NY", 1], + ], + ) + + +@pytest.mark.asyncio +async def test_union_all( + module__client_with_examples: AsyncClient, +): + """ + Verify union all query works + """ + response = await module__client_with_examples.post( + "/nodes/transform", + json={ + "name": "default.union_all_test", + "description": "", + "display_name": "Union All Test", + "query": """ + ( + SELECT + 1234 AS farmer_id, + 2234 AS farm_id, + 'pear' AS fruit_name, + 4444 AS fruit_id, + 20 AS fruits_cnt + ) + UNION ALL + ( + SELECT + NULL AS farmer_id, + NULL AS farm_id, + NULL AS fruit_name, + NULL AS fruit_id, + NULL AS fruits_cnt + )""", + "mode": "published", + }, + ) + assert response.status_code == 201 + + response = await module__client_with_examples.get("/sql/default.union_all_test") + assert str(parse(response.json()["sql"])) == str( + parse( + """ + WITH default_DOT_union_all_test AS ( + (SELECT 1234 AS farmer_id, + 2234 AS farm_id, + 'pear' AS fruit_name, + 4444 AS fruit_id, + 20 AS fruits_cnt) + + UNION ALL + (SELECT NULL AS farmer_id, + NULL AS farm_id, + NULL AS fruit_name, + NULL AS fruit_id, + NULL AS fruits_cnt) + ) + + SELECT default_DOT_union_all_test.farmer_id default_DOT_union_all_test_DOT_farmer_id, + default_DOT_union_all_test.farm_id default_DOT_union_all_test_DOT_farm_id, + default_DOT_union_all_test.fruit_name default_DOT_union_all_test_DOT_fruit_name, + default_DOT_union_all_test.fruit_id default_DOT_union_all_test_DOT_fruit_id, + default_DOT_union_all_test.fruits_cnt default_DOT_union_all_test_DOT_fruits_cnt + FROM default_DOT_union_all_test + """, + ), + ) + + +@pytest.mark.asyncio +async def test_multiple_joins_to_same_node( + module__client_with_examples: AsyncClient, +): + """ + Verify that multiple joins to the same node still work + """ + response = await module__client_with_examples.post( + "/nodes/transform", + json={ + "name": "default.sowtime", + "description": "", + "display_name": "Sow Time", + "query": """ + SELECT + 'Davis' AS city_name, + 'fruit' AS fruit, + 3 AS month + """, + "mode": "published", + }, + ) + assert response.status_code == 201 + + response = await module__client_with_examples.post( + "/nodes/transform", + json={ + "name": "default.fruits", + "description": "", + "display_name": "Fruits", + "query": """ + SELECT + 1234 AS farmer_id, + 2234 AS farm_id, + 'pear' AS primary, + 'avocado' AS companion, + 'Davis' AS city_name + """, + "mode": "published", + }, + ) + assert response.status_code == 201 + + response = await module__client_with_examples.post( + "/nodes/transform", + json={ + "name": "default.multiple_join_same_node", + "description": "", + "display_name": "Multiple Joins to Same Node", + "query": """ + SELECT + f.farmer_id, + s_start.month AS primary_sow_start_month, + s_end.month AS companion_sow_start_month + FROM default.fruits AS f + LEFT JOIN default.sowtime AS s_start + ON f.city_name = s_start.city_name + AND f.primary = s_start.fruit + LEFT JOIN default.sowtime AS s_end + ON f.city_name = s_end.city_name + AND f.companion = s_end.fruit + """, + "mode": "published", + }, + ) + assert response.status_code == 201 + + response = await module__client_with_examples.get( + "/sql/default.multiple_join_same_node", + ) + assert str(parse(response.json()["sql"])) == str( + parse( + """ + WITH default_DOT_fruits AS ( + SELECT 1234 AS farmer_id, + 2234 AS farm_id, + 'pear' AS primary, + 'avocado' AS companion, + 'Davis' AS city_name + ), + default_DOT_sowtime AS ( + SELECT 'Davis' AS city_name, + 'fruit' AS fruit, + 3 AS month + ), + default_DOT_multiple_join_same_node AS ( + SELECT f.farmer_id, + s_start.month AS primary_sow_start_month, + s_end.month AS companion_sow_start_month + FROM default_DOT_fruits f LEFT JOIN default_DOT_sowtime s_start ON f.city_name = s_start.city_name AND f.primary = s_start.fruit + LEFT JOIN default_DOT_sowtime s_end ON f.city_name = s_end.city_name AND f.companion = s_end.fruit + ) + SELECT + default_DOT_multiple_join_same_node.farmer_id default_DOT_multiple_join_same_node_DOT_farmer_id, + default_DOT_multiple_join_same_node.primary_sow_start_month default_DOT_multiple_join_same_node_DOT_primary_sow_start_month, + default_DOT_multiple_join_same_node.companion_sow_start_month default_DOT_multiple_join_same_node_DOT_companion_sow_start_month + FROM default_DOT_multiple_join_same_node""", + ), + ) + + +@pytest.mark.asyncio +async def test_cross_join_unnest( + module__client_with_examples: AsyncClient, +): + """ + Verify cross join unnest on a joined in dimension works + """ + await module__client_with_examples.post( + "/nodes/basic.corrected_patches/columns/color_id/" + "?dimension=basic.paint_colors_trino&dimension_column=color_id", + ) + response = await module__client_with_examples.get( + "/sql/basic.avg_luminosity_patches/", + params={ + "filters": [], + "dimensions": [ + "basic.paint_colors_trino.color_id", + "basic.paint_colors_trino.color_name", + ], + }, + ) + expected = """ + SELECT + paint_colors_trino.color_id basic_DOT_avg_luminosity_patches_DOT_color_id, + basic_DOT_paint_colors_trino.color_name basic_DOT_avg_luminosity_patches_DOT_color_name, + AVG(basic_DOT_corrected_patches.luminosity) AS basic_DOT_avg_luminosity_patches_DOT_basic_DOT_avg_luminosity_patches + FROM ( + SELECT + CAST(basic_DOT_patches.color_id AS VARCHAR) color_id, + basic_DOT_patches.color_name, + basic_DOT_patches.garishness, + basic_DOT_patches.luminosity, + basic_DOT_patches.opacity + FROM basic.patches AS basic_DOT_patches + ) AS basic_DOT_corrected_patches + LEFT JOIN ( + SELECT + t.color_name color_name, + t.color_id + FROM ( + SELECT + basic_DOT_murals.id, + basic_DOT_murals.colors + FROM basic.murals AS basic_DOT_murals + ) murals + CROSS JOIN UNNEST(murals.colors) t( color_id, color_name) + ) AS basic_DOT_paint_colors_trino + ON basic_DOT_corrected_patches.color_id = basic_DOT_paint_colors_trino.color_id + GROUP BY + paint_colors_trino.color_id, + basic_DOT_paint_colors_trino.color_name + """ + query = response.json()["sql"] + compare_query_strings(query, expected) + + +@pytest.mark.asyncio +async def test_lateral_view_explode( + module__client_with_examples: AsyncClient, +): + """ + Verify lateral view explode on a joined in dimension works + """ + await module__client_with_examples.post( + "/nodes/basic.corrected_patches/columns/color_id/" + "?dimension=basic.paint_colors_spark&dimension_column=color_id", + ) + response = await module__client_with_examples.get( + "/sql/basic.avg_luminosity_patches/", + params={ + "filters": [], + "dimensions": [ + "basic.paint_colors_spark.color_id", + "basic.paint_colors_spark.color_name", + ], + "limit": 5, + }, + ) + expected = """ + SELECT AVG(basic_DOT_corrected_patches.luminosity) basic_DOT_avg_luminosity_patches, + basic_DOT_paint_colors_spark.color_id basic_DOT_paint_colors_spark_DOT_color_id, + basic_DOT_paint_colors_spark.color_name basic_DOT_paint_colors_spark_DOT_color_name + FROM (SELECT CAST(basic_DOT_patches.color_id AS STRING) color_id, + basic_DOT_patches.color_name, + basic_DOT_patches.opacity, + basic_DOT_patches.luminosity, + basic_DOT_patches.garishness + FROM basic.patches AS basic_DOT_patches) + AS basic_DOT_corrected_patches LEFT JOIN (SELECT color_id, + color_name + FROM (SELECT basic_DOT_murals.id, + EXPLODE(basic_DOT_murals.colors) AS ( color_id, color_name) + FROM basic.murals AS basic_DOT_murals + + )) + AS basic_DOT_paint_colors_spark ON basic_DOT_corrected_patches.color_id = basic_DOT_paint_colors_spark.color_id + GROUP BY basic_DOT_paint_colors_spark.color_id, basic_DOT_paint_colors_spark.color_name + + LIMIT 5 + """ + query = response.json()["sql"] + compare_query_strings(query, expected) + + +@pytest.mark.asyncio +async def test_get_sql_for_metrics_failures(module__client_with_examples: AsyncClient): + """ + Test failure modes when getting sql for multiple metrics. + """ + # Getting sql for no metrics fails appropriately + response = await module__client_with_examples.get( + "/sql/", + params={ + "metrics": [], + "dimensions": ["default.account_type.account_type_name"], + "filters": [], + }, + ) + assert response.status_code == 422 + data = response.json() + assert data == { + "message": "At least one metric is required", + "errors": [], + "warnings": [], + } + + # Getting sql for metric with no dimensions works + response = await module__client_with_examples.get( + "/sql/", + params={ + "metrics": ["default.number_of_account_types"], + "dimensions": [], + "filters": [], + }, + ) + assert response.status_code == 200 + + # Getting sql for metric with non-metric node + response = await module__client_with_examples.get( + "/sql/", + params={ + "metrics": ["default.repair_orders"], + "dimensions": [], + "filters": [], + }, + ) + assert response.status_code == 422 + assert response.json() == { + "message": "All nodes must be of metric type, but some are not: default.repair_orders (source) .", + "errors": [], + "warnings": [], + } + + +@pytest.mark.asyncio +async def test_get_sql_for_metrics_no_access( + module__client_with_examples: AsyncClient, + mocker, +): + """ + Test getting sql for multiple metrics with denied access. + """ + + # Custom authorization service that denies all requests + class DenyAllAuthorizationService(AuthorizationService): + name = "deny_all" + + def authorize(self, auth_context, requests): + return [ + access.AccessDecision(request=request, approved=False) + for request in requests + ] + + def get_deny_all_service(): + return DenyAllAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + get_deny_all_service, + ) + response = await module__client_with_examples.get( + "/sql/", + params={ + "metrics": ["default.discounted_orders_rate", "default.num_repair_orders"], + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": ["default.hard_hat.city = 'Las Vegas'"], + "orderby": [], + "limit": 100, + }, + ) + data = response.json() + assert data["message"] == ( + "Access denied to 10 resource(s): default.discounted_orders_rate, " + "default.discounted_orders_rate, default.num_repair_orders, " + "default.repair_orders_fact, default.hard_hat and 5 more" + ) + + +@pytest.mark.asyncio +async def test_get_sql_for_metrics2(client_with_examples: AsyncClient): + """ + Test getting sql for multiple metrics. + """ + response = await client_with_examples.get( + "/sql/", + params={ + "metrics": ["default.discounted_orders_rate", "default.num_repair_orders"], + "dimensions": [ + "default.hard_hat.country", + "default.hard_hat.postal_code", + "default.hard_hat.city", + "default.hard_hat.state", + "default.dispatcher.company_name", + "default.municipality_dim.local_region", + ], + "filters": [], + "orderby": [ + "default.hard_hat.country", + "default.num_repair_orders", + "default.dispatcher.company_name", + "default.discounted_orders_rate", + ], + "limit": 100, + }, + ) + data = response.json() + expected_sql = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), default_DOT_municipality_dim AS ( + SELECT + m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m + LEFT JOIN roads.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc + ), + default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_hard_hat.country default_DOT_hard_hat_DOT_country, + default_DOT_hard_hat.postal_code default_DOT_hard_hat_DOT_postal_code, + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_municipality_dim.local_region default_DOT_municipality_dim_DOT_local_region, + CAST(sum(if(default_DOT_repair_orders_fact.discount > 0.0, 1, 0)) AS DOUBLE) / count(*) AS default_DOT_discounted_orders_rate, + count(default_DOT_repair_orders_fact.repair_order_id) default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_municipality_dim + ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + GROUP BY + default_DOT_hard_hat.country, + default_DOT_hard_hat.postal_code, + default_DOT_hard_hat.city, + default_DOT_hard_hat.state, + default_DOT_dispatcher.company_name, + default_DOT_municipality_dim.local_region + ) + SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_country, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_postal_code, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_city, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_state, + default_DOT_repair_orders_fact_metrics.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_metrics.default_DOT_municipality_dim_DOT_local_region, + default_DOT_repair_orders_fact_metrics.default_DOT_discounted_orders_rate, + default_DOT_repair_orders_fact_metrics.default_DOT_num_repair_orders + FROM default_DOT_repair_orders_fact_metrics + ORDER BY + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_country, + default_DOT_repair_orders_fact_metrics.default_DOT_num_repair_orders, + default_DOT_repair_orders_fact_metrics.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_metrics.default_DOT_discounted_orders_rate + LIMIT 100 + """ + assert str(parse(data["sql"])) == str(parse(expected_sql)) + assert data["columns"] == [ + { + "column": "country", + "name": "default_DOT_hard_hat_DOT_country", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.country", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "postal_code", + "name": "default_DOT_hard_hat_DOT_postal_code", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.postal_code", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "city", + "name": "default_DOT_hard_hat_DOT_city", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.city", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "state", + "name": "default_DOT_hard_hat_DOT_state", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.state", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "company_name", + "name": "default_DOT_dispatcher_DOT_company_name", + "node": "default.dispatcher", + "semantic_entity": "default.dispatcher.company_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "local_region", + "name": "default_DOT_municipality_dim_DOT_local_region", + "node": "default.municipality_dim", + "semantic_entity": "default.municipality_dim.local_region", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "default_DOT_discounted_orders_rate", + "name": "default_DOT_discounted_orders_rate", + "node": "default.discounted_orders_rate", + "semantic_entity": "default.discounted_orders_rate.default_DOT_discounted_orders_rate", + "semantic_type": "metric", + "type": "double", + }, + { + "column": "default_DOT_num_repair_orders", + "name": "default_DOT_num_repair_orders", + "node": "default.num_repair_orders", + "semantic_entity": "default.num_repair_orders.default_DOT_num_repair_orders", + "semantic_type": "metric", + "type": "bigint", + }, + ] + + +@pytest.mark.asyncio +async def test_get_sql_including_dimension_ids( + client_with_roads: AsyncClient, +): + """ + Test getting SQL when there are dimensions ids included + """ + + response = await client_with_roads.get( + "/sql/", + params={ + "metrics": ["default.avg_repair_price", "default.total_repair_cost"], + "dimensions": [ + "default.dispatcher.company_name", + "default.dispatcher.dispatcher_id", + ], + "filters": [], + }, + ) + assert response.status_code == 200 + data = response.json() + expected = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id +), default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers +), default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_dispatcher.dispatcher_id default_DOT_dispatcher_DOT_dispatcher_id, + avg(default_DOT_repair_orders_fact.price) default_DOT_avg_repair_price, + sum(default_DOT_repair_orders_fact.total_repair_cost) default_DOT_total_repair_cost + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + GROUP BY + default_DOT_dispatcher.company_name, + default_DOT_dispatcher.dispatcher_id +) +SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_metrics.default_DOT_dispatcher_DOT_dispatcher_id, + default_DOT_repair_orders_fact_metrics.default_DOT_avg_repair_price, + default_DOT_repair_orders_fact_metrics.default_DOT_total_repair_cost +FROM default_DOT_repair_orders_fact_metrics +""" + assert str(parse(str(data["sql"]))) == str(parse(str(expected))) + + response = await client_with_roads.get( + "/sql/", + params={ + "metrics": ["default.avg_repair_price", "default.total_repair_cost"], + "dimensions": [ + "default.hard_hat.hard_hat_id", + "default.hard_hat.first_name", + ], + "filters": [], + }, + ) + assert response.status_code == 200 + data = response.json() + assert str(parse(str(data["sql"]))) == str( + parse( + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id +), default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats +), default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_repair_orders_fact.hard_hat_id default_DOT_hard_hat_DOT_hard_hat_id, + default_DOT_hard_hat.first_name default_DOT_hard_hat_DOT_first_name, + avg(default_DOT_repair_orders_fact.price) default_DOT_avg_repair_price, + sum(default_DOT_repair_orders_fact.total_repair_cost) default_DOT_total_repair_cost + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + GROUP BY + default_DOT_repair_orders_fact.hard_hat_id, + default_DOT_hard_hat.first_name +) +SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_hard_hat_id, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_first_name, + default_DOT_repair_orders_fact_metrics.default_DOT_avg_repair_price, + default_DOT_repair_orders_fact_metrics.default_DOT_total_repair_cost +FROM default_DOT_repair_orders_fact_metrics + """, + ), + ) + + +@pytest.mark.asyncio +async def test_get_sql_including_dimensions_with_disambiguated_columns( + client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, +): + """ + Test getting SQL that includes dimensions with SQL that has to disambiguate projection columns with prefixes + """ + response = await client_with_roads.get( + "/sql/", + params={ + "metrics": ["default.total_repair_cost"], + "dimensions": [ + "default.municipality_dim.state_id", + "default.municipality_dim.municipality_type_id", + "default.municipality_dim.municipality_type_desc", + "default.municipality_dim.municipality_id", + ], + "filters": [], + }, + ) + assert response.status_code == 200 + data = response.json() + assert data["columns"] == [ + { + "column": "state_id", + "name": "default_DOT_municipality_dim_DOT_state_id", + "node": "default.municipality_dim", + "semantic_entity": "default.municipality_dim.state_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "column": "municipality_type_id", + "name": "default_DOT_municipality_dim_DOT_municipality_type_id", + "node": "default.municipality_dim", + "semantic_entity": "default.municipality_dim.municipality_type_id", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "municipality_type_desc", + "name": "default_DOT_municipality_dim_DOT_municipality_type_desc", + "node": "default.municipality_dim", + "semantic_entity": "default.municipality_dim.municipality_type_desc", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "municipality_id", + "name": "default_DOT_municipality_dim_DOT_municipality_id", + "node": "default.municipality_dim", + "semantic_entity": "default.municipality_dim.municipality_id", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "default_DOT_total_repair_cost", + "name": "default_DOT_total_repair_cost", + "node": "default.total_repair_cost", + "semantic_entity": "default.total_repair_cost.default_DOT_total_repair_cost", + "semantic_type": "metric", + "type": "double", + }, + ] + assert str(parse(data["sql"])) == str( + parse( + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id +), default_DOT_municipality_dim AS ( + SELECT + m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m + LEFT JOIN roads.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc +), default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_municipality_dim.state_id default_DOT_municipality_dim_DOT_state_id, + default_DOT_municipality_dim.municipality_type_id default_DOT_municipality_dim_DOT_municipality_type_id, + default_DOT_municipality_dim.municipality_type_desc default_DOT_municipality_dim_DOT_municipality_type_desc, + default_DOT_municipality_dim.municipality_id default_DOT_municipality_dim_DOT_municipality_id, + sum(default_DOT_repair_orders_fact.total_repair_cost) default_DOT_total_repair_cost + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_municipality_dim + ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + GROUP BY + default_DOT_municipality_dim.state_id, + default_DOT_municipality_dim.municipality_type_id, + default_DOT_municipality_dim.municipality_type_desc, + default_DOT_municipality_dim.municipality_id +) +SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_municipality_dim_DOT_state_id, + default_DOT_repair_orders_fact_metrics.default_DOT_municipality_dim_DOT_municipality_type_id, + default_DOT_repair_orders_fact_metrics.default_DOT_municipality_dim_DOT_municipality_type_desc, + default_DOT_repair_orders_fact_metrics.default_DOT_municipality_dim_DOT_municipality_id, + default_DOT_repair_orders_fact_metrics.default_DOT_total_repair_cost +FROM default_DOT_repair_orders_fact_metrics + """, + ), + ) + result = duckdb_conn.sql(data["sql"]) + assert result.fetchall() == [ + (33, "A", None, "New York", 285627.0), + (44, "A", None, "Dallas", 18497.0), + (44, "A", None, "San Antonio", 76463.0), + (39, "B", None, "Philadelphia", 1135603.0), + ] + + response = await client_with_roads.get( + "/sql/", + params={ + "metrics": ["default.avg_repair_price", "default.total_repair_cost"], + "dimensions": [ + "default.hard_hat.hard_hat_id", + ], + "filters": [], + }, + ) + assert response.status_code == 200 + data = response.json() + expected = """WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id +), default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_repair_orders_fact.hard_hat_id default_DOT_hard_hat_DOT_hard_hat_id, + avg(default_DOT_repair_orders_fact.price) default_DOT_avg_repair_price, + sum(default_DOT_repair_orders_fact.total_repair_cost) default_DOT_total_repair_cost + FROM default_DOT_repair_orders_fact + GROUP BY + default_DOT_repair_orders_fact.hard_hat_id +) +SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_hard_hat_id, + default_DOT_repair_orders_fact_metrics.default_DOT_avg_repair_price, + default_DOT_repair_orders_fact_metrics.default_DOT_total_repair_cost +FROM default_DOT_repair_orders_fact_metrics +""" + + assert str(parse(data["sql"])) == str(parse(expected)) + + result = duckdb_conn.sql(data["sql"]) + assert result.fetchall() == [ + (1, 54672.75, 218691.0), + (2, 39301.5, 78603.0), + (3, 76555.33333333333, 229666.0), + (4, 54083.5, 216334.0), + (5, 64190.6, 320953.0), + (6, 65595.66666666667, 196787.0), + (7, 53374.0, 53374.0), + (8, 65682.0, 131364.0), + (9, 70418.0, 70418.0), + ] + + +@pytest.mark.asyncio +async def test_get_sql_for_metrics_filters_validate_dimensions( + module__client_with_examples: AsyncClient, +): + """ + Test that we extract the columns from filters to validate that they are from shared dimensions + """ + response = await module__client_with_examples.get( + "/sql/", + params={ + "metrics": ["foo.bar.num_repair_orders", "foo.bar.avg_repair_price"], + "dimensions": [ + "foo.bar.hard_hat.country", + ], + "filters": ["default.hard_hat.city = 'Las Vegas'"], + "limit": 10, + "ignore_errors": False, + }, + ) + data = response.json() + assert ( + "This dimension attribute cannot be joined in: default.hard_hat.city" + in data["message"] + ) + + +@pytest.mark.asyncio +async def test_get_sql_for_metrics_orderby_not_in_dimensions( + module__client_with_examples: AsyncClient, +): + """ + Test that we extract the columns from filters to validate that they are from shared dimensions + """ + response = await module__client_with_examples.get( + "/sql/", + params={ + "metrics": ["foo.bar.num_repair_orders", "foo.bar.avg_repair_price"], + "dimensions": [ + "foo.bar.hard_hat.country", + ], + "orderby": ["default.hard_hat.city"], + "limit": 10, + }, + ) + data = response.json() + assert data["message"] == ( + "Columns ['default.hard_hat.city'] in order by " + "clause must also be specified in the metrics or dimensions" + ) + + +@pytest.mark.asyncio +async def test_get_sql_for_metrics_orderby_not_in_dimensions_no_access( + module__client_with_examples: AsyncClient, + mocker, +): + """ + Test that we extract the columns from filters to validate that they are from shared dimensions + """ + + # Custom authorization service that denies specific nodes + class SelectiveDenialAuthorizationService(AuthorizationService): + name = "selective_denial" + + def authorize(self, auth_context, requests): + denied_nodes = { + "foo.bar.avg_repair_price", + "default.hard_hat.city", + } + return [ + access.AccessDecision(request=request, approved=False) + if ( + request.access_object.resource_type == access.ResourceType.NODE + and request.access_object.name in denied_nodes + ) + else access.AccessDecision(request=request, approved=True) + for request in requests + ] + + def get_selective_denial_service(): + return SelectiveDenialAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + return_value=SelectiveDenialAuthorizationService(), + ) + + response = await module__client_with_examples.get( + "/sql/", + params={ + "metrics": ["foo.bar.num_repair_orders", "foo.bar.avg_repair_price"], + "dimensions": [ + "foo.bar.hard_hat.country", + ], + "orderby": ["default.hard_hat.city"], + "limit": 10, + }, + ) + data = response.json() + assert data["message"] == ( + "Columns ['default.hard_hat.city'] in order by " + "clause must also be specified in the metrics or dimensions" + ) + + +@pytest.mark.asyncio +async def test_sql_structs(module__client_with_examples: AsyncClient): + """ + Create a transform with structs and verify that metric expressions that reference these + structs, along with grouping by dimensions that reference these structs will work when + building metrics SQL. + """ + await module__client_with_examples.post( + "/nodes/transform", + json={ + "name": "default.simple_agg", + "description": "simple agg", + "mode": "published", + "query": """SELECT + EXTRACT(YEAR FROM ro.relevant_dates.order_dt) AS order_year, + EXTRACT(MONTH FROM ro.relevant_dates.order_dt) AS order_month, + EXTRACT(DAY FROM ro.relevant_dates.order_dt) AS order_day, + SUM(DATEDIFF(ro.relevant_dates.dispatched_dt, ro.relevant_dates.order_dt)) AS dispatch_delay_sum, + COUNT(ro.repair_order_id) AS repair_orders_cnt +FROM ( + SELECT + repair_order_id, + STRUCT(required_date as required_dt, order_date as order_dt, dispatched_date as dispatched_dt) relevant_dates + FROM default.repair_orders +) AS ro +GROUP BY + EXTRACT(YEAR FROM ro.relevant_dates.order_dt), + EXTRACT(MONTH FROM ro.relevant_dates.order_dt), + EXTRACT(DAY FROM ro.relevant_dates.order_dt)""", + }, + ) + + await module__client_with_examples.post( + "/nodes/metric", + json={ + "name": "default.average_dispatch_delay", + "description": "average dispatch delay", + "mode": "published", + "query": """select SUM(D.dispatch_delay_sum)/SUM(D.repair_orders_cnt) from default.simple_agg D""", + }, + ) + dimension_attr = [ + { + "namespace": "system", + "name": "dimension", + }, + ] + for column in ["order_year", "order_month", "order_day"]: + await module__client_with_examples.post( + f"/nodes/default.simple_agg/columns/{column}/attributes/", + json=dimension_attr, + ) + sql_params = { + "metrics": ["default.average_dispatch_delay"], + "dimensions": [ + "default.simple_agg.order_year", + "default.simple_agg.order_month", + "default.simple_agg.order_day", + ], + "filters": ["default.simple_agg.order_year = 2020"], + } + + expected = """ + WITH default_DOT_simple_agg AS ( + SELECT + EXTRACT(YEAR, ro.relevant_dates.order_dt) AS order_year, + EXTRACT(MONTH, ro.relevant_dates.order_dt) AS order_month, + EXTRACT(DAY, ro.relevant_dates.order_dt) AS order_day, + SUM( + DATEDIFF( + ro.relevant_dates.dispatched_dt, + ro.relevant_dates.order_dt + ) + ) AS dispatch_delay_sum, + COUNT(ro.repair_order_id) AS repair_orders_cnt + FROM ( + SELECT + default_DOT_repair_orders.repair_order_id, + struct( + default_DOT_repair_orders.required_date AS required_dt, + default_DOT_repair_orders.order_date AS order_dt, + default_DOT_repair_orders.dispatched_date AS dispatched_dt + ) relevant_dates + FROM roads.repair_orders AS default_DOT_repair_orders + ) AS ro + WHERE EXTRACT(YEAR, ro.relevant_dates.order_dt) = 2020 + GROUP BY + EXTRACT(YEAR, ro.relevant_dates.order_dt), + EXTRACT(MONTH, ro.relevant_dates.order_dt), + EXTRACT(DAY, ro.relevant_dates.order_dt) + ), + default_DOT_simple_agg_metrics AS ( + SELECT + default_DOT_simple_agg.order_year default_DOT_simple_agg_DOT_order_year, + default_DOT_simple_agg.order_month default_DOT_simple_agg_DOT_order_month, + default_DOT_simple_agg.order_day default_DOT_simple_agg_DOT_order_day, + SUM(default_DOT_simple_agg.dispatch_delay_sum) / SUM(default_DOT_simple_agg.repair_orders_cnt) default_DOT_average_dispatch_delay + FROM default_DOT_simple_agg + WHERE default_DOT_simple_agg.order_year = 2020 + GROUP BY default_DOT_simple_agg.order_year, default_DOT_simple_agg.order_month, default_DOT_simple_agg.order_day + ) + SELECT + default_DOT_simple_agg_metrics.default_DOT_simple_agg_DOT_order_year, + default_DOT_simple_agg_metrics.default_DOT_simple_agg_DOT_order_month, + default_DOT_simple_agg_metrics.default_DOT_simple_agg_DOT_order_day, + default_DOT_simple_agg_metrics.default_DOT_average_dispatch_delay + FROM default_DOT_simple_agg_metrics + """ + response = await module__client_with_examples.get("/sql", params=sql_params) + data = response.json() + assert str(parse(str(expected))) == str(parse(str(data["sql"]))) + + # Test the same query string but with `ro` as a CTE + await module__client_with_examples.patch( + "/nodes/transform", + json={ + "name": "default.simple_agg", + "query": """WITH ro as ( + SELECT + repair_order_id, + STRUCT(required_date as required_dt, order_date as order_dt, dispatched_date as dispatched_dt) relevant_dates + FROM default.repair_orders +) +SELECT + EXTRACT(YEAR FROM ro.relevant_dates.order_dt) AS order_year, + EXTRACT(MONTH FROM ro.relevant_dates.order_dt) AS order_month, + EXTRACT(DAY FROM ro.relevant_dates.order_dt) AS order_day, + SUM(DATEDIFF(ro.relevant_dates.dispatched_dt, ro.relevant_dates.order_dt)) AS dispatch_delay_sum, + COUNT(ro.repair_order_id) AS repair_orders_cnt +FROM ro +GROUP BY + EXTRACT(YEAR FROM ro.relevant_dates.order_dt), + EXTRACT(MONTH FROM ro.relevant_dates.order_dt), + EXTRACT(DAY FROM ro.relevant_dates.order_dt)""", + }, + ) + + response = await module__client_with_examples.get("/sql", params=sql_params) + data = response.json() + assert str(parse(str(expected))) == str(parse(str(data["sql"]))) + + +@pytest.mark.asyncio +async def test_filter_pushdowns( + module__client_with_examples: AsyncClient, +): + """ + Pushing down filters should use the column names and not the column aliases + """ + response = await module__client_with_examples.patch( + "/nodes/default.repair_orders_fact", + json={ + "query": "SELECT repair_orders.hard_hat_id AS hh_id " + "FROM default.repair_orders repair_orders", + }, + ) + assert response.status_code == 200 + + response = await module__client_with_examples.post( + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.hard_hat", + "join_type": "left", + "join_on": ( + "default.repair_orders_fact.hh_id = default.hard_hat.hard_hat_id" + ), + }, + ) + assert response.status_code == 201 + + response = await module__client_with_examples.get( + "/sql/default.repair_orders_fact", + params={ + "dimensions": ["default.hard_hat.hard_hat_id"], + "filters": [ + "default.hard_hat.hard_hat_id IN (123, 13) AND " + "default.hard_hat.hard_hat_id = 123 OR default.hard_hat.hard_hat_id = 13", + ], + }, + ) + assert str(parse(response.json()["sql"])) == str( + parse( + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT repair_orders.hard_hat_id AS hh_id + FROM roads.repair_orders AS repair_orders + WHERE repair_orders.hard_hat_id IN (123, 13) AND repair_orders.hard_hat_id = 123 OR repair_orders.hard_hat_id = 13 + ) + SELECT + default_DOT_repair_orders_fact.hh_id default_DOT_hard_hat_DOT_hard_hat_id + FROM default_DOT_repair_orders_fact + WHERE default_DOT_repair_orders_fact.hh_id IN (123, 13) AND default_DOT_repair_orders_fact.hh_id = 123 OR default_DOT_repair_orders_fact.hh_id = 13 + """, + ), + ) + + +@pytest.mark.asyncio +async def test_sql_use_materialized_table( + measures_sql_request, + client_with_roads: AsyncClient, +): + """ + Posting a materialized table for a dimension node should result in building SQL + that uses the materialized table whenever a dimension attribute on the node is + requested. + """ + availability_response = await client_with_roads.post( + "/data/default.hard_hat/availability", + json={ + "catalog": "default", + "schema_": "xyz", + "table": "hardhat", + "valid_through_ts": 20240601, + "max_temporal_partition": ["2024", "06", "01"], + "min_temporal_partition": ["2022", "01", "01"], + }, + ) + assert availability_response.status_code == 200 + response = (await measures_sql_request()).json() + response = (await measures_sql_request()).json() + assert "xyz.hardhat" in response[0]["sql"] + expected_sql = """WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id +), default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers +), default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hat.hard_hat_id, + default_DOT_hard_hat.last_name, + default_DOT_hard_hat.first_name, + default_DOT_hard_hat.title, + default_DOT_hard_hat.birth_date, + default_DOT_hard_hat.hire_date, + default_DOT_hard_hat.address, + default_DOT_hard_hat.city, + default_DOT_hard_hat.state, + default_DOT_hard_hat.postal_code, + default_DOT_hard_hat.country, + default_DOT_hard_hat.manager, + default_DOT_hard_hat.contractor_id + FROM ( + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM xyz.hardhat + WHERE + state = 'CA' + ) default_DOT_hard_hat + WHERE + default_DOT_hard_hat.state = 'CA' +) +SELECT + default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.municipality_id default_DOT_repair_orders_fact_DOT_municipality_id, + default_DOT_repair_orders_fact.hard_hat_id default_DOT_repair_orders_fact_DOT_hard_hat_id, + default_DOT_repair_orders_fact.dispatcher_id default_DOT_repair_orders_fact_DOT_dispatcher_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.dispatched_date default_DOT_repair_orders_fact_DOT_dispatched_date, + default_DOT_repair_orders_fact.required_date default_DOT_repair_orders_fact_DOT_required_date, + default_DOT_repair_orders_fact.discount default_DOT_repair_orders_fact_DOT_discount, + default_DOT_repair_orders_fact.price default_DOT_repair_orders_fact_DOT_price, + default_DOT_repair_orders_fact.quantity default_DOT_repair_orders_fact_DOT_quantity, + default_DOT_repair_orders_fact.repair_type_id default_DOT_repair_orders_fact_DOT_repair_type_id, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_repair_orders_fact.time_to_dispatch default_DOT_repair_orders_fact_DOT_time_to_dispatch, + default_DOT_repair_orders_fact.dispatch_delay default_DOT_repair_orders_fact_DOT_dispatch_delay, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state +FROM default_DOT_repair_orders_fact +INNER JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id +INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id +WHERE default_DOT_hard_hat.state = 'CA' + """ + assert str(parse(expected_sql)) == str(parse(response[0]["sql"])) + + +@pytest.mark.asyncio +async def test_filter_on_source_nodes( + module__client_with_examples: AsyncClient, +): + """ + Verify that filtering using dimensions that are available on a given node's upstream + source nodes works, even if these dimensions are not available on the node itself. + """ + # Create a dimension node: `default.event_date` + response = await module__client_with_examples.post( + "/nodes/dimension", + json={ + "name": "default.event_date", + "description": "", + "display_name": "Event Date", + "query": """ + SELECT + 20240101 AS dateint, + '2024-01-01' AS date + """, + "mode": "published", + "primary_key": ["dateint"], + }, + ) + assert response.status_code == 201 + + # Create a source node: `default.events` + response = await module__client_with_examples.post( + "/nodes/source", + json={ + "name": "default.events", + "description": "", + "display_name": "Events", + "catalog": "default", + "schema_": "example", + "table": "events", + "columns": [ + {"name": "event_id", "type": "int"}, + {"name": "event_date", "type": "int"}, + {"name": "user_id", "type": "int"}, + {"name": "duration_ms", "type": "int"}, + ], + "primary_key": ["event_id"], + "mode": "published", + }, + ) + assert response.status_code == 200 + + # Link `default.events` transform to the `default.event_date` dimension node on `dateint` + response = await module__client_with_examples.post( + "/nodes/default.events/link", + json={ + "dimension_node": "default.event_date", + "join_type": "left", + "join_on": "default.events.event_date = default.event_date.dateint", + }, + ) + assert response.status_code == 201 + + # Create a transform on `default.events` that aggregates it to the user level + response = await module__client_with_examples.post( + "/nodes/transform", + json={ + "name": "default.events_agg", + "description": "", + "display_name": "Events Agg", + "query": """ + SELECT + user_id, + SUM(duration_ms) AS duration_ms + FROM default.events + """, + "primary_key": ["user_id"], + "mode": "published", + }, + ) + assert response.status_code == 201 + + # Request the available dimensions for `default.events_agg` + response = await module__client_with_examples.get( + "/nodes/default.events_agg/dimensions", + ) + assert response.json() == [ + { + "name": "default.events_agg.user_id", + "node_display_name": "Events Agg", + "node_name": "default.events_agg", + "path": [], + "type": "int", + "filter_only": False, + "properties": ["primary_key"], + }, + { + "name": "default.event_date.dateint", + "node_display_name": "Event Date", + "node_name": "default.event_date", + "path": ["default.events"], + "type": "int", + "filter_only": True, + "properties": ["primary_key"], + }, + ] + + # Request SQL for default.events_agg with filters on `default.event_date` + response = await module__client_with_examples.get( + "/sql/default.events_agg", + params={ + "filters": ["default.event_date.dateint BETWEEN 20240101 AND 20240201"], + }, + ) + + # Check that the filters have propagated to the upstream nodes + assert str(parse(response.json()["sql"])) == str( + parse( + """ + WITH default_DOT_events_agg AS ( + SELECT default_DOT_events.user_id, + SUM(default_DOT_events.duration_ms) AS duration_ms + FROM ( + SELECT + event_id, + event_date, + user_id, + duration_ms + FROM example.events + WHERE event_date BETWEEN 20240101 AND 20240201 + ) default_DOT_events + ) + SELECT + default_DOT_events_agg.user_id default_DOT_events_agg_DOT_user_id, + default_DOT_events_agg.duration_ms default_DOT_events_agg_DOT_duration_ms + FROM default_DOT_events_agg + """, + ), + ) + + +# ============================================================================= +# Role Path Dimension Test Fixtures +# These fixtures create the multi-hop dimension hierarchies for testing the +# role path functionality from commits bba9866a and 5fa5515d +# ============================================================================= + + +@pytest.fixture(scope="module") +async def regions_source_table(module__client_with_examples: AsyncClient): + """Create regions source table.""" + response = await module__client_with_examples.post( + "/nodes/source/", + json={ + "description": "Regions source table", + "mode": "published", + "name": "default.regions_table", + "catalog": "default", + "schema_": "public", + "table": "regions", + "columns": [ + { + "name": "region_id", + "type": "int", + "attributes": [], + "dimension": None, + }, + { + "name": "region_name", + "type": "string", + "attributes": [], + "dimension": None, + }, + { + "name": "continent_id", + "type": "int", + "attributes": [], + "dimension": None, + }, + ], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def continents_source_table(module__client_with_examples: AsyncClient): + """Create continents source table.""" + response = await module__client_with_examples.post( + "/nodes/source/", + json={ + "description": "Continents source table", + "mode": "published", + "name": "default.continents_table", + "catalog": "default", + "schema_": "public", + "table": "continents", + "columns": [ + { + "name": "continent_id", + "type": "int", + "attributes": [], + "dimension": None, + }, + { + "name": "continent_name", + "type": "string", + "attributes": [], + "dimension": None, + }, + { + "name": "hemisphere", + "type": "string", + "attributes": [], + "dimension": None, + }, + ], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def weeks_source_table(module__client_with_examples: AsyncClient): + """Create weeks source table.""" + response = await module__client_with_examples.post( + "/nodes/source/", + json={ + "description": "Week dimension source table", + "mode": "published", + "name": "default.weeks_table", + "catalog": "default", + "schema_": "public", + "table": "weeks", + "columns": [ + {"name": "week_id", "type": "int", "attributes": [], "dimension": None}, + { + "name": "week_start_date", + "type": "date", + "attributes": [], + "dimension": None, + }, + { + "name": "week_end_date", + "type": "date", + "attributes": [], + "dimension": None, + }, + { + "name": "week_number", + "type": "int", + "attributes": [], + "dimension": None, + }, + { + "name": "month_id", + "type": "int", + "attributes": [], + "dimension": None, + }, + ], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def months_source_table(module__client_with_examples: AsyncClient): + """Create months source table.""" + response = await module__client_with_examples.post( + "/nodes/source/", + json={ + "description": "Month dimension source table", + "mode": "published", + "name": "default.months_table", + "catalog": "default", + "schema_": "public", + "table": "months", + "columns": [ + { + "name": "month_id", + "type": "int", + "attributes": [], + "dimension": None, + }, + { + "name": "month_name", + "type": "string", + "attributes": [], + "dimension": None, + }, + { + "name": "month_number", + "type": "int", + "attributes": [], + "dimension": None, + }, + {"name": "year_id", "type": "int", "attributes": [], "dimension": None}, + ], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def years_source_table(module__client_with_examples: AsyncClient): + """Create years source table.""" + response = await module__client_with_examples.post( + "/nodes/source/", + json={ + "description": "Year dimension source table", + "mode": "published", + "name": "default.years_table", + "catalog": "default", + "schema_": "public", + "table": "years", + "columns": [ + {"name": "year_id", "type": "int", "attributes": [], "dimension": None}, + { + "name": "year_number", + "type": "int", + "attributes": [], + "dimension": None, + }, + { + "name": "decade", + "type": "string", + "attributes": [], + "dimension": None, + }, + ], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def regions_dimension( + module__client_with_examples: AsyncClient, + regions_source_table: str, +): + """Create regions dimension node.""" + response = await module__client_with_examples.post( + "/nodes/dimension/", + json={ + "description": "Geographic regions", + "query": """ + SELECT + region_id, + region_name, + continent_id + FROM default.regions_table + """, + "mode": "published", + "name": "default.regions", + "primary_key": ["region_id"], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def continents_dimension( + module__client_with_examples: AsyncClient, + continents_source_table: str, +): + """Create continents dimension node.""" + response = await module__client_with_examples.post( + "/nodes/dimension/", + json={ + "description": "Geographic continents", + "query": """ + SELECT + continent_id, + continent_name, + hemisphere + FROM default.continents_table + """, + "mode": "published", + "name": "default.continents", + "primary_key": ["continent_id"], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def weeks_dimension( + module__client_with_examples: AsyncClient, + weeks_source_table: str, +): + """Create weeks dimension node.""" + response = await module__client_with_examples.post( + "/nodes/dimension/", + json={ + "description": "Week dimension", + "query": """ + SELECT + week_id, + week_start_date, + week_end_date, + week_number, + month_id + FROM default.weeks_table + """, + "mode": "published", + "name": "default.weeks", + "primary_key": ["week_id"], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def months_dimension( + module__client_with_examples: AsyncClient, + months_source_table: str, +): + """Create months dimension node.""" + response = await module__client_with_examples.post( + "/nodes/dimension/", + json={ + "description": "Month dimension", + "query": """ + SELECT + month_id, + month_name, + month_number, + year_id + FROM default.months_table + """, + "mode": "published", + "name": "default.months", + "primary_key": ["month_id"], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def years_dimension( + module__client_with_examples: AsyncClient, + years_source_table: str, +): + """Create years dimension node.""" + response = await module__client_with_examples.post( + "/nodes/dimension/", + json={ + "description": "Year dimension", + "query": """ + SELECT + year_id, + year_number, + decade + FROM default.years_table + """, + "mode": "published", + "name": "default.years", + "primary_key": ["year_id"], + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def countries_to_regions_link( + module__client_with_examples: AsyncClient, + regions_dimension: str, +): + """Link countries to regions with role.""" + response = await module__client_with_examples.post( + "/nodes/default.special_country_dim/link", + json={ + "dimension_node": "default.regions", + "join_type": "left", + "join_on": "default.special_country_dim.country_code = default.regions.region_id", + "role": "country_region", + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def regions_to_continents_link( + module__client_with_examples: AsyncClient, + regions_dimension: str, + continents_dimension: str, +): + """Link regions to continents with role.""" + response = await module__client_with_examples.post( + "/nodes/default.regions/link", + json={ + "dimension_node": "default.continents", + "join_type": "left", + "join_on": "default.regions.continent_id = default.continents.continent_id", + "role": "region_continent", + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def users_to_countries_birth_link( + module__client_with_examples: AsyncClient, +): + """Link users to countries with birth country role (using birth_country as registration proxy).""" + response = await module__client_with_examples.post( + "/nodes/default.user_dim/link", + json={ + "dimension_node": "default.special_country_dim", + "join_type": "left", + "join_on": "default.user_dim.birth_country = default.special_country_dim.country_code", + "role": "user_birth_country", + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def users_to_countries_residence_link( + module__client_with_examples: AsyncClient, +): + """Link users to countries with residence role.""" + response = await module__client_with_examples.post( + "/nodes/default.user_dim/link", + json={ + "dimension_node": "default.special_country_dim", + "join_type": "left", + "join_on": "default.user_dim.residence_country = default.special_country_dim.country_code", + "role": "user_residence_country", + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def users_to_date_birth_link( + module__client_with_examples: AsyncClient, +): + """Link users to date with birth role (using birth_date).""" + response = await module__client_with_examples.post( + "/nodes/default.user_dim/link", + json={ + "dimension_node": "default.date_dim", + "join_type": "left", + "join_on": "default.user_dim.birth_date = default.date_dim.dateint", + "role": "user_birth_date", + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def date_to_weeks_link( + module__client_with_examples: AsyncClient, + weeks_dimension: str, +): + """Link date_dim to weeks with role (may fail if date_dim doesn't exist).""" + response = await module__client_with_examples.post( + "/nodes/default.date_dim/link", + json={ + "dimension_node": "default.weeks", + "join_type": "left", + "join_on": "default.date_dim.dateint BETWEEN default.weeks.week_start_date AND default.weeks.week_end_date", + "role": "date_week", + }, + ) + return response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def weeks_to_months_link( + module__client_with_examples: AsyncClient, + weeks_dimension: str, + months_dimension: str, +): + """Link weeks to months with role.""" + response = await module__client_with_examples.post( + "/nodes/default.weeks/link", + json={ + "dimension_node": "default.months", + "join_type": "left", + "join_on": "default.weeks.month_id = default.months.month_id", + "role": "week_month", + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def months_to_years_link( + module__client_with_examples: AsyncClient, + months_dimension: str, + years_dimension: str, +): + """Link months to years with role.""" + response = await module__client_with_examples.post( + "/nodes/default.months/link", + json={ + "dimension_node": "default.years", + "join_type": "left", + "join_on": "default.months.year_id = default.years.year_id", + "role": "month_year", + }, + ) + assert response.status_code in (200, 201) + + +@pytest.fixture(scope="module") +async def geographic_hierarchy( + countries_to_regions_link: bool, + regions_to_continents_link: str, + users_to_countries_birth_link: str, + users_to_countries_residence_link: str, +): + """Complete geographic hierarchy: Users -> Countries -> Regions -> Continents.""" + return { + "countries_to_regions": countries_to_regions_link, + "regions_to_continents": regions_to_continents_link, + "users_birth": users_to_countries_birth_link, + "users_residence": users_to_countries_residence_link, + } + + +@pytest.fixture(scope="module") +async def temporal_hierarchy( + date_to_weeks_link: bool, + weeks_to_months_link: str, + months_to_years_link: str, + users_to_date_birth_link: str, +): + """Complete temporal hierarchy: Date -> Week -> Month -> Year.""" + return { + "date_to_weeks": date_to_weeks_link, + "weeks_to_months": weeks_to_months_link, + "months_to_years": months_to_years_link, + "users_to_date_birth": users_to_date_birth_link, + } + + +@pytest.fixture +async def role_path_test_setup(geographic_hierarchy: dict, temporal_hierarchy: dict): + """Combined fixture providing both geographic and temporal hierarchies for role path testing.""" + return { + "geographic": geographic_hierarchy, + "temporal": temporal_hierarchy, + } + + +@pytest.mark.asyncio +async def test_role_path_dimensions_in_filters_single_hop( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test role path dimensions in filters for single hop scenarios. + """ + # Test filter with single role path - geographic hierarchy + response = await module__client_with_examples.get( + "/sql/default.avg_user_age", + params={ + "dimensions": [ + "default.special_country_dim.name[user_birth_country]", + ], + "filters": [ + "default.special_country_dim.name[user_birth_country] = 'United States'", + ], + }, + ) + assert response.status_code == 200 + + sql_result = response.json() + assert str(parse(sql_result["sql"])) == str( + parse(""" + WITH default_DOT_user_dim AS ( + SELECT + default_DOT_users.user_id, + default_DOT_users.birth_country, + default_DOT_users.residence_country, + default_DOT_users.age, + default_DOT_users.birth_date + FROM examples.users AS default_DOT_users + ), + default_DOT_special_country_dim AS ( + SELECT + default_DOT_countries.country_code, + default_DOT_countries.name, + default_DOT_countries.formation_date, + default_DOT_countries.last_election_date + FROM examples.countries AS default_DOT_countries + ), + default_DOT_user_dim_metrics AS ( + SELECT + user_birth_country.name default_DOT_special_country_dim_DOT_name_LBRACK_user_birth_country_RBRACK, + AVG(default_DOT_user_dim.age) default_DOT_avg_user_age + FROM default_DOT_user_dim + LEFT JOIN default_DOT_special_country_dim AS user_birth_country ON default_DOT_user_dim.birth_country = user_birth_country.country_code + WHERE user_birth_country.name = 'United States' + GROUP BY user_birth_country.name + ) + SELECT + default_DOT_user_dim_metrics.default_DOT_special_country_dim_DOT_name_LBRACK_user_birth_country_RBRACK, + default_DOT_user_dim_metrics.default_DOT_avg_user_age + FROM default_DOT_user_dim_metrics + """), + ) + + +@pytest.mark.asyncio +async def test_role_path_dimensions_in_filters_multi_hop_geographic( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test role path dimensions in filters for multi-hop scenarios with geographic role paths. + """ + # Test filter with multi-hop role path: user -> country -> region -> continent + response = await module__client_with_examples.get( + "/sql/default.avg_user_age/", + params={ + "dimensions": [ + "default.continents.continent_name[user_residence_country->country_region->region_continent]", + ], + "filters": [ + "default.continents.continent_name[user_residence_country->country_region->region_continent] = 'North America'", + ], + }, + ) + + assert response.status_code == 200, ( + f"Response: {response.status_code}, {response.json()}" + ) + assert str(parse(response.json()["sql"])) == str( + parse(""" + WITH + default_DOT_user_dim AS ( + SELECT + default_DOT_users.user_id, + default_DOT_users.birth_country, + default_DOT_users.residence_country, + default_DOT_users.age, + default_DOT_users.birth_date + FROM examples.users AS default_DOT_users + ), + default_DOT_special_country_dim AS ( + SELECT + default_DOT_countries.country_code, + default_DOT_countries.name, + default_DOT_countries.formation_date, + default_DOT_countries.last_election_date + FROM examples.countries AS default_DOT_countries + ), + default_DOT_regions AS ( + SELECT + default_DOT_regions_table.region_id, + default_DOT_regions_table.region_name, + default_DOT_regions_table.continent_id + FROM public.regions AS default_DOT_regions_table + ), + default_DOT_continents AS ( + SELECT + default_DOT_continents_table.continent_id, + default_DOT_continents_table.continent_name, + default_DOT_continents_table.hemisphere + FROM public.continents AS default_DOT_continents_table + ), + default_DOT_user_dim_metrics AS ( + SELECT + user_residence_country__country_region__region_continent.continent_name default_DOT_continents_DOT_continent_name_LBRACK_user_residence_country_MINUS__GT_country_region_MINUS__GT_region_continent_RBRACK, + AVG(default_DOT_user_dim.age) default_DOT_avg_user_age + FROM default_DOT_user_dim + LEFT JOIN default_DOT_special_country_dim AS user_residence_country ON default_DOT_user_dim.residence_country = user_residence_country.country_code + LEFT JOIN default_DOT_regions AS user_residence_country__country_region ON user_residence_country.country_code = user_residence_country__country_region.region_id + LEFT JOIN default_DOT_continents AS user_residence_country__country_region__region_continent ON user_residence_country__country_region.continent_id = user_residence_country__country_region__region_continent.continent_id + WHERE + user_residence_country__country_region__region_continent.continent_name = 'North America' + GROUP BY + user_residence_country__country_region__region_continent.continent_name + ) + SELECT + default_DOT_user_dim_metrics.default_DOT_continents_DOT_continent_name_LBRACK_user_residence_country_MINUS__GT_country_region_MINUS__GT_region_continent_RBRACK, + default_DOT_user_dim_metrics.default_DOT_avg_user_age + FROM default_DOT_user_dim_metrics + """), + ) + + +@pytest.mark.asyncio +async def test_role_path_dimensions_in_filters_multi_hop_temporal( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test role path dimensions in filters for multi-hop scenarios with temporal role paths. + """ + # Test filter with multi-hop temporal role path: date -> week -> month -> year + response = await module__client_with_examples.get( + "/sql/default.avg_user_age/", + params={ + "dimensions": [ + "default.years.year_number[user_birth_date->date_week->week_month->month_year]", + ], + "filters": [ + "default.years.year_number[user_birth_date->date_week->week_month->month_year] = 2024", + ], + }, + ) + + assert response.status_code == 200, ( + f"Response: {response.status_code}, {response.json()}" + ) + assert str(parse(response.json()["sql"])) == str( + parse(""" + WITH + default_DOT_user_dim AS ( + SELECT default_DOT_users.user_id, + default_DOT_users.birth_country, + default_DOT_users.residence_country, + default_DOT_users.age, + default_DOT_users.birth_date + FROM examples.users AS default_DOT_users + ), + default_DOT_date_dim AS ( + SELECT default_DOT_date.dateint, + default_DOT_date.month, + default_DOT_date.year, + default_DOT_date.day + FROM examples.date AS default_DOT_date + ), + default_DOT_weeks AS ( + SELECT default_DOT_weeks_table.week_id, + default_DOT_weeks_table.week_start_date, + default_DOT_weeks_table.week_end_date, + default_DOT_weeks_table.week_number, + default_DOT_weeks_table.month_id + FROM public.weeks AS default_DOT_weeks_table + ), + default_DOT_months AS ( + SELECT default_DOT_months_table.month_id, + default_DOT_months_table.month_name, + default_DOT_months_table.month_number, + default_DOT_months_table.year_id + FROM public.months AS default_DOT_months_table + ), + default_DOT_years AS ( + SELECT default_DOT_years_table.year_id, + default_DOT_years_table.year_number, + default_DOT_years_table.decade + FROM public.years AS default_DOT_years_table + ), + default_DOT_user_dim_metrics AS ( + SELECT + user_birth_date__date_week__week_month__month_year.year_number default_DOT_years_DOT_year_number_LBRACK_user_birth_date_MINUS__GT_date_week_MINUS__GT_week_month_MINUS__GT_month_year_RBRACK, + AVG(default_DOT_user_dim.age) default_DOT_avg_user_age + FROM default_DOT_user_dim LEFT JOIN default_DOT_date_dim AS user_birth_date ON default_DOT_user_dim.birth_date = user_birth_date.dateint + LEFT JOIN default_DOT_weeks AS user_birth_date__date_week ON user_birth_date.dateint BETWEEN user_birth_date__date_week.week_start_date AND user_birth_date__date_week.week_end_date + LEFT JOIN default_DOT_months AS user_birth_date__date_week__week_month ON user_birth_date__date_week.month_id = user_birth_date__date_week__week_month.month_id + LEFT JOIN default_DOT_years AS user_birth_date__date_week__week_month__month_year ON user_birth_date__date_week__week_month.year_id = user_birth_date__date_week__week_month__month_year.year_id + WHERE user_birth_date__date_week__week_month__month_year.year_number = 2024 + GROUP BY user_birth_date__date_week__week_month__month_year.year_number + ) + SELECT default_DOT_user_dim_metrics.default_DOT_years_DOT_year_number_LBRACK_user_birth_date_MINUS__GT_date_week_MINUS__GT_week_month_MINUS__GT_month_year_RBRACK, + default_DOT_user_dim_metrics.default_DOT_avg_user_age + FROM default_DOT_user_dim_metrics + """), + ) + + +@pytest.mark.asyncio +async def test_role_path_dimensions_mixed_paths( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test filtering with mixed role paths - different roles for the same dimension attribute. + """ + # Test with both birth and residence country paths + response = await module__client_with_examples.get( + "/sql/default.avg_user_age/", + params={ + "dimensions": [ + "default.special_country_dim.name[user_birth_country]", + "default.special_country_dim.name[user_residence_country]", + ], + "filters": [ + "default.special_country_dim.name[user_birth_country] = 'Canada'", + "default.special_country_dim.name[user_residence_country] = 'United States'", + ], + }, + ) + assert response.status_code == 200 + sql_result = response.json() + assert str(parse(sql_result["sql"])) == str( + parse(""" + WITH default_DOT_user_dim AS ( + SELECT + default_DOT_users.user_id, + default_DOT_users.birth_country, + default_DOT_users.residence_country, + default_DOT_users.age, + default_DOT_users.birth_date + FROM examples.users AS default_DOT_users + ), + default_DOT_special_country_dim AS ( + SELECT + default_DOT_countries.country_code, + default_DOT_countries.name, + default_DOT_countries.formation_date, + default_DOT_countries.last_election_date + FROM examples.countries AS default_DOT_countries + ), + default_DOT_user_dim_metrics AS ( + SELECT + user_birth_country.name default_DOT_special_country_dim_DOT_name_LBRACK_user_birth_country_RBRACK, + user_residence_country.name default_DOT_special_country_dim_DOT_name_LBRACK_user_residence_country_RBRACK, + AVG(default_DOT_user_dim.age) default_DOT_avg_user_age + FROM default_DOT_user_dim + LEFT JOIN default_DOT_special_country_dim AS user_birth_country + ON default_DOT_user_dim.birth_country = user_birth_country.country_code + LEFT JOIN default_DOT_special_country_dim AS user_residence_country + ON default_DOT_user_dim.residence_country = user_residence_country.country_code + WHERE user_birth_country.name = 'Canada' + AND user_residence_country.name = 'United States' + GROUP BY user_birth_country.name, user_residence_country.name + ) + SELECT + default_DOT_user_dim_metrics.default_DOT_special_country_dim_DOT_name_LBRACK_user_birth_country_RBRACK, + default_DOT_user_dim_metrics.default_DOT_special_country_dim_DOT_name_LBRACK_user_residence_country_RBRACK, + default_DOT_user_dim_metrics.default_DOT_avg_user_age + FROM default_DOT_user_dim_metrics + """), + ) + + +@pytest.mark.asyncio +async def test_role_path_dimensions_mixed_hierarchies( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test filtering with mixed hierarchies - geographic and temporal role paths in same query. + """ + # Test with both geographic and temporal hierarchies + response = await module__client_with_examples.get( + "/sql/default.avg_user_age", + params={ + "dimensions": [ + "default.continents.continent_name[user_birth_country->country_region->region_continent]", + "default.months.month_name[user_birth_date->date_week->week_month]", + ], + "filters": [ + "default.regions.region_name[user_birth_country->country_region] = 'APAC'", + "default.years.year_number[user_birth_date->date_week->week_month->month_year] = 1940", + ], + }, + ) + assert response.status_code == 200 + assert str(parse(response.json()["sql"])) == str( + parse(""" + WITH + default_DOT_user_dim AS ( + SELECT default_DOT_users.user_id, + default_DOT_users.birth_country, + default_DOT_users.residence_country, + default_DOT_users.age, + default_DOT_users.birth_date + FROM examples.users AS default_DOT_users + ), + default_DOT_special_country_dim AS ( + SELECT default_DOT_countries.country_code, + default_DOT_countries.name, + default_DOT_countries.formation_date, + default_DOT_countries.last_election_date + FROM examples.countries AS default_DOT_countries + ), + default_DOT_regions AS ( + SELECT default_DOT_regions_table.region_id, + default_DOT_regions_table.region_name, + default_DOT_regions_table.continent_id + FROM public.regions AS default_DOT_regions_table + ), + default_DOT_continents AS ( + SELECT default_DOT_continents_table.continent_id, + default_DOT_continents_table.continent_name, + default_DOT_continents_table.hemisphere + FROM public.continents AS default_DOT_continents_table + ), + default_DOT_date_dim AS ( + SELECT default_DOT_date.dateint, + default_DOT_date.month, + default_DOT_date.year, + default_DOT_date.day + FROM examples.date AS default_DOT_date + ), + default_DOT_weeks AS ( + SELECT default_DOT_weeks_table.week_id, + default_DOT_weeks_table.week_start_date, + default_DOT_weeks_table.week_end_date, + default_DOT_weeks_table.week_number, + default_DOT_weeks_table.month_id + FROM public.weeks AS default_DOT_weeks_table + ), + default_DOT_months AS ( + SELECT default_DOT_months_table.month_id, + default_DOT_months_table.month_name, + default_DOT_months_table.month_number, + default_DOT_months_table.year_id + FROM public.months AS default_DOT_months_table + ), + default_DOT_years AS ( + SELECT default_DOT_years_table.year_id, + default_DOT_years_table.year_number, + default_DOT_years_table.decade + FROM public.years AS default_DOT_years_table + ), + default_DOT_user_dim_metrics AS ( + SELECT + user_birth_country__country_region__region_continent.continent_name default_DOT_continents_DOT_continent_name_LBRACK_user_birth_country_MINUS__GT_country_region_MINUS__GT_region_continent_RBRACK, + user_birth_date__date_week__week_month.month_name default_DOT_months_DOT_month_name_LBRACK_user_birth_date_MINUS__GT_date_week_MINUS__GT_week_month_RBRACK, + AVG(default_DOT_user_dim.age) default_DOT_avg_user_age + FROM default_DOT_user_dim + LEFT JOIN default_DOT_special_country_dim AS user_birth_country ON default_DOT_user_dim.birth_country = user_birth_country.country_code + LEFT JOIN default_DOT_regions AS user_birth_country__country_region ON user_birth_country.country_code = user_birth_country__country_region.region_id + LEFT JOIN default_DOT_continents AS user_birth_country__country_region__region_continent ON user_birth_country__country_region.continent_id = user_birth_country__country_region__region_continent.continent_id + LEFT JOIN default_DOT_date_dim AS user_birth_date ON default_DOT_user_dim.birth_date = user_birth_date.dateint + LEFT JOIN default_DOT_weeks AS user_birth_date__date_week ON user_birth_date.dateint BETWEEN user_birth_date__date_week.week_start_date AND user_birth_date__date_week.week_end_date + LEFT JOIN default_DOT_months AS user_birth_date__date_week__week_month ON user_birth_date__date_week.month_id = user_birth_date__date_week__week_month.month_id + LEFT JOIN default_DOT_years AS user_birth_date__date_week__week_month__month_year ON user_birth_date__date_week__week_month.year_id = user_birth_date__date_week__week_month__month_year.year_id + WHERE + user_birth_country__country_region.region_name = 'APAC' + AND user_birth_date__date_week__week_month__month_year.year_number = 1940 + GROUP BY + user_birth_country__country_region__region_continent.continent_name, + user_birth_date__date_week__week_month.month_name + ) + SELECT default_DOT_user_dim_metrics.default_DOT_continents_DOT_continent_name_LBRACK_user_birth_country_MINUS__GT_country_region_MINUS__GT_region_continent_RBRACK, + default_DOT_user_dim_metrics.default_DOT_months_DOT_month_name_LBRACK_user_birth_date_MINUS__GT_date_week_MINUS__GT_week_month_RBRACK, + default_DOT_user_dim_metrics.default_DOT_avg_user_age + FROM default_DOT_user_dim_metrics + """), + ) + + +@pytest.mark.asyncio +async def test_role_path_dimensions_cube_integration( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test role path dimensions work properly with cube definitions. + """ + # Create a cube that includes role path dimensions + response = await module__client_with_examples.post( + "/nodes/cube/", + json={ + "description": "Event analytics cube with role paths", + "mode": "published", + "name": "default.events_role_cube", + "query": """ + SELECT + default.num_repair_orders, + default.special_country_dim.name[user_registration_country], + default.regions.region_name[user_registration_country->country_region] + FROM default.num_repair_orders + """, + }, + ) + + if response.status_code in (200, 201): + # Test querying the cube with role path filters + response = await module__client_with_examples.get( + "/sql/default.events_role_cube/", + params={ + "filters": [ + "default.special_country_dim.name[user_registration_country] = 'Canada'", + "default.regions.region_name[user_registration_country->country_region] = 'North America'", + ], + }, + ) + assert response.status_code == 200 + + sql_result = response.json() + # Verify cube properly handles role path filters + assert "Canada" in sql_result["sql"] + assert "North America" in sql_result["sql"] + else: + # Cube creation might fail if role path syntax isn't supported in cube queries yet + assert response.status_code in (400, 422) + + +@pytest.mark.asyncio +async def test_role_path_dimensions_temporal_cube_integration( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test role path dimensions work properly with temporal cube definitions. + """ + # Create a cube that includes temporal role path dimensions + response = await module__client_with_examples.post( + "/nodes/cube/", + json={ + "description": "Event analytics cube with temporal role paths", + "mode": "published", + "name": "default.events_temporal_cube", + "query": """ + SELECT + default.num_repair_orders, + default.months.month_name[date_week->week_month], + default.years.year_number[date_week->week_month->month_year] + FROM default.num_repair_orders + """, + }, + ) + + if response.status_code in (200, 201): + # Test querying the cube with temporal role path filters + response = await module__client_with_examples.get( + "/sql/default.events_temporal_cube/", + params={ + "filters": [ + "default.months.month_name[date_week->week_month] = 'January'", + "default.years.year_number[date_week->week_month->month_year] = 2024", + ], + }, + ) + # This might fail if temporal cubes aren't fully supported + assert response.status_code in (200, 400, 422) + + if response.status_code == 200: + sql_result = response.json() + # Verify cube properly handles temporal role path filters + assert ( + "January" in sql_result["sql"] or "january" in sql_result["sql"].lower() + ) + assert "2024" in sql_result["sql"] + else: + # Cube creation might fail if temporal role path syntax isn't supported yet + assert response.status_code in (400, 422) + + +@pytest.mark.asyncio +async def test_role_path_dimensions_error_handling( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test error handling for invalid role paths and edge cases. + """ + # Test with invalid role path - non-existent role + response = await module__client_with_examples.get( + "/sql/default.avg_user_age/", + params={ + "dimensions": ["default.special_country_dim.name[invalid_role]"], + "filters": ["default.special_country_dim.name[invalid_role] = 'Canada'"], + }, + ) + # Should return an error for invalid role + assert response.json()["message"] == ( + "The dimension attribute `default.special_country_dim.name[invalid_role]` " + "is not available on every metric and thus cannot be included." + ) + + # Test with malformed role path syntax + response = await module__client_with_examples.get( + "/sql/default.avg_user_age/", + params={ + "dimensions": [ + "default.special_country_dim.name[user_birth_country->]", + ], + "filters": [ + "default.special_country_dim.name[user_birth_country->] = 'Canada'", + ], + }, + ) + # Should handle malformed role path gracefully + assert "Error parsing SQL" in response.json()["message"] + + +@pytest.mark.asyncio +async def test_multiple_filters_same_role_path( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """Test multiple filters on the same role path should work""" + response = await module__client_with_examples.get( + "/sql/default.avg_user_age/", + params={ + "dimensions": [ + "default.special_country_dim.name[user_birth_country]", + ], + "filters": [ + "default.special_country_dim.name[user_birth_country] IS NOT NULL", + "default.special_country_dim.formation_date[user_birth_country] > 20000101", + ], + }, + ) + # Multiple filters on the same role path should work + assert response.status_code == 200 + sql_result = response.json() + # Both filters should appear in the generated SQL + assert str(parse(sql_result["sql"])) == str( + parse(""" + WITH default_DOT_user_dim AS ( + SELECT default_DOT_users.user_id, + default_DOT_users.birth_country, + default_DOT_users.residence_country, + default_DOT_users.age, + default_DOT_users.birth_date + FROM examples.users AS default_DOT_users + ), + default_DOT_special_country_dim AS ( + SELECT default_DOT_countries.country_code, + default_DOT_countries.name, + default_DOT_countries.formation_date, + default_DOT_countries.last_election_date + FROM examples.countries AS default_DOT_countries + ), + default_DOT_user_dim_metrics AS ( + SELECT user_birth_country.name default_DOT_special_country_dim_DOT_name_LBRACK_user_birth_country_RBRACK, + AVG(default_DOT_user_dim.age) default_DOT_avg_user_age + FROM default_DOT_user_dim LEFT JOIN default_DOT_special_country_dim AS user_birth_country ON default_DOT_user_dim.birth_country = user_birth_country.country_code + WHERE user_birth_country.name IS NOT NULL AND user_birth_country.formation_date > 20000101 + GROUP BY user_birth_country.name + ) + + SELECT default_DOT_user_dim_metrics.default_DOT_special_country_dim_DOT_name_LBRACK_user_birth_country_RBRACK, + default_DOT_user_dim_metrics.default_DOT_avg_user_age + FROM default_DOT_user_dim_metrics + """), + ) + + +@pytest.mark.asyncio +async def test_role_path_dimensions_performance_complex_query( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Test performance and correctness with complex multi-dimensional role path queries. + """ + # Complex query with multiple role paths across geographic and temporal hierarchies + response = await module__client_with_examples.get( + "/sql/default.avg_user_age/", + params={ + "dimensions": [ + "default.special_country_dim.name[user_birth_country]", + "default.special_country_dim.name[user_residence_country]", + "default.regions.region_name[user_birth_country->country_region]", + "default.months.month_name[user_birth_date->date_week->week_month]", + "default.years.year_number[user_birth_date->date_week->week_month->month_year]", + ], + "filters": [ + "default.special_country_dim.name[user_birth_country] IN ('Canada', 'United States', 'Mexico')", + "default.regions.region_name[user_birth_country->country_region] = 'North America'", + "default.months.month_name[user_birth_date->date_week->week_month] IN ('January', 'February', 'March')", + "default.years.year_number[user_birth_date->date_week->week_month->month_year] >= 2020", + ], + }, + ) + assert str(parse(response.json()["sql"])) == str( + parse(""" + WITH + default_DOT_user_dim AS ( + SELECT default_DOT_users.user_id, + default_DOT_users.birth_country, + default_DOT_users.residence_country, + default_DOT_users.age, + default_DOT_users.birth_date + FROM examples.users AS default_DOT_users + ), + default_DOT_special_country_dim AS ( + SELECT default_DOT_countries.country_code, + default_DOT_countries.name, + default_DOT_countries.formation_date, + default_DOT_countries.last_election_date + FROM examples.countries AS default_DOT_countries + ), + default_DOT_regions AS ( + SELECT default_DOT_regions_table.region_id, + default_DOT_regions_table.region_name, + default_DOT_regions_table.continent_id + FROM public.regions AS default_DOT_regions_table + ), + default_DOT_date_dim AS ( + SELECT default_DOT_date.dateint, + default_DOT_date.month, + default_DOT_date.year, + default_DOT_date.day + FROM examples.date AS default_DOT_date + ), + default_DOT_weeks AS ( + SELECT default_DOT_weeks_table.week_id, + default_DOT_weeks_table.week_start_date, + default_DOT_weeks_table.week_end_date, + default_DOT_weeks_table.week_number, + default_DOT_weeks_table.month_id + FROM public.weeks AS default_DOT_weeks_table + ), + default_DOT_months AS ( + SELECT default_DOT_months_table.month_id, + default_DOT_months_table.month_name, + default_DOT_months_table.month_number, + default_DOT_months_table.year_id + FROM public.months AS default_DOT_months_table + ), + default_DOT_years AS ( + SELECT default_DOT_years_table.year_id, + default_DOT_years_table.year_number, + default_DOT_years_table.decade + FROM public.years AS default_DOT_years_table + ), + default_DOT_user_dim_metrics AS ( + SELECT user_birth_country.name default_DOT_special_country_dim_DOT_name_LBRACK_user_birth_country_RBRACK, + user_residence_country.name default_DOT_special_country_dim_DOT_name_LBRACK_user_residence_country_RBRACK, + user_birth_country__country_region.region_name default_DOT_regions_DOT_region_name_LBRACK_user_birth_country_MINUS__GT_country_region_RBRACK, + user_birth_date__date_week__week_month.month_name default_DOT_months_DOT_month_name_LBRACK_user_birth_date_MINUS__GT_date_week_MINUS__GT_week_month_RBRACK, + user_birth_date__date_week__week_month__month_year.year_number default_DOT_years_DOT_year_number_LBRACK_user_birth_date_MINUS__GT_date_week_MINUS__GT_week_month_MINUS__GT_month_year_RBRACK, + AVG(default_DOT_user_dim.age) default_DOT_avg_user_age + FROM default_DOT_user_dim + LEFT JOIN default_DOT_special_country_dim AS user_birth_country ON default_DOT_user_dim.birth_country = user_birth_country.country_code + LEFT JOIN default_DOT_special_country_dim AS user_residence_country ON default_DOT_user_dim.residence_country = user_residence_country.country_code + LEFT JOIN default_DOT_regions AS user_birth_country__country_region ON user_birth_country.country_code = user_birth_country__country_region.region_id + LEFT JOIN default_DOT_date_dim AS user_birth_date ON default_DOT_user_dim.birth_date = user_birth_date.dateint + LEFT JOIN default_DOT_weeks AS user_birth_date__date_week ON user_birth_date.dateint BETWEEN user_birth_date__date_week.week_start_date AND user_birth_date__date_week.week_end_date + LEFT JOIN default_DOT_months AS user_birth_date__date_week__week_month ON user_birth_date__date_week.month_id = user_birth_date__date_week__week_month.month_id + LEFT JOIN default_DOT_years AS user_birth_date__date_week__week_month__month_year ON user_birth_date__date_week__week_month.year_id = user_birth_date__date_week__week_month__month_year.year_id + WHERE + user_birth_country.name IN ('Canada', 'United States', 'Mexico') + AND user_birth_country__country_region.region_name = 'North America' + AND user_birth_date__date_week__week_month.month_name IN ('January', 'February', 'March') + AND user_birth_date__date_week__week_month__month_year.year_number >= 2020 + GROUP BY user_birth_country.name, user_residence_country.name, user_birth_country__country_region.region_name, user_birth_date__date_week__week_month.month_name, user_birth_date__date_week__week_month__month_year.year_number + ) + + SELECT default_DOT_user_dim_metrics.default_DOT_special_country_dim_DOT_name_LBRACK_user_birth_country_RBRACK, + default_DOT_user_dim_metrics.default_DOT_special_country_dim_DOT_name_LBRACK_user_residence_country_RBRACK, + default_DOT_user_dim_metrics.default_DOT_regions_DOT_region_name_LBRACK_user_birth_country_MINUS__GT_country_region_RBRACK, + default_DOT_user_dim_metrics.default_DOT_months_DOT_month_name_LBRACK_user_birth_date_MINUS__GT_date_week_MINUS__GT_week_month_RBRACK, + default_DOT_user_dim_metrics.default_DOT_years_DOT_year_number_LBRACK_user_birth_date_MINUS__GT_date_week_MINUS__GT_week_month_MINUS__GT_month_year_RBRACK, + default_DOT_user_dim_metrics.default_DOT_avg_user_age + FROM default_DOT_user_dim_metrics + """), + ) + + +@pytest.mark.asyncio +async def test_cube_with_roles( + module__client_with_examples: AsyncClient, + role_path_test_setup: dict, +): + """ + Create a cube that contains dimensions with role paths. + """ + response = await module__client_with_examples.post( + "/nodes/cube/", + json={ + "description": "Cube with role path dimensions", + "mode": "published", + "name": "default.role_path_cube", + "metrics": ["default.avg_user_age"], + "dimensions": [ + "default.special_country_dim.name[user_birth_country]", + "default.regions.region_name[user_birth_country->country_region]", + "default.continents.continent_name[user_residence_country->country_region->region_continent]", + "default.years.year_number[user_birth_date->date_week->week_month->month_year]", + ], + }, + ) + + assert response.status_code in (200, 201), ( + f"Cube creation failed: {response.status_code}, {response.json()}" + ) + response = await module__client_with_examples.get("/cubes/default.role_path_cube") + assert response.status_code == 200, ( + f"Cube retrieval failed: {response.status_code}, {response.json()}" + ) + cube_info = response.json() + assert cube_info["cube_node_dimensions"] == [ + "default.special_country_dim.name[user_birth_country]", + "default.regions.region_name[user_birth_country->country_region]", + "default.continents.continent_name[user_residence_country->country_region->region_continent]", + "default.years.year_number[user_birth_date->date_week->week_month->month_year]", + ] diff --git a/datajunction-server/tests/api/sql_v2_test.py b/datajunction-server/tests/api/sql_v2_test.py new file mode 100644 index 000000000..aef2efe4f --- /dev/null +++ b/datajunction-server/tests/api/sql_v2_test.py @@ -0,0 +1,2064 @@ +"""Tests for all /sql endpoints that use node SQL build v2""" + +from unittest import mock + +import duckdb +import pytest +from httpx import AsyncClient + +from datajunction_server.sql.parsing.backends.antlr4 import parse + + +async def fix_dimension_links(module__client_with_roads: AsyncClient): + """ + Override some dimension links with inner join instead of left join. + """ + await module__client_with_roads.post( + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.hard_hat", + "join_type": "inner", + "join_on": ( + "default.repair_orders_fact.hard_hat_id = default.hard_hat.hard_hat_id" + ), + }, + ) + await module__client_with_roads.post( + "/nodes/default.repair_orders_fact/link", + json={ + "dimension_node": "default.dispatcher", + "join_type": "left", + "join_on": ( + "default.repair_orders_fact.dispatcher_id = default.dispatcher.dispatcher_id" + ), + }, + ) + await module__client_with_roads.post( + "/nodes/default.hard_hat/link", + json={ + "dimension_node": "default.us_state", + "join_type": "inner", + "join_on": ("default.hard_hat.state = default.us_state.state_short"), + }, + ) + + +@pytest.mark.parametrize( + "metrics, dimensions, filters, orderby, sql, columns, rows", + [ + # One metric with two measures + one local dimension. Both referenced measures should + # show up in the generated measures SQL + ( + ["default.total_repair_order_discounts"], + ["default.dispatcher.dispatcher_id"], + [], + [], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * + repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = + repair_order_details.repair_order_id + ) + SELECT + default_DOT_repair_orders_fact.dispatcher_id + default_DOT_dispatcher_DOT_dispatcher_id, + default_DOT_repair_orders_fact.discount + default_DOT_repair_orders_fact_DOT_discount, + default_DOT_repair_orders_fact.price + default_DOT_repair_orders_fact_DOT_price + FROM default_DOT_repair_orders_fact + """, + [ + { + "column": "dispatcher_id", + "name": "default_DOT_dispatcher_DOT_dispatcher_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.dispatcher.dispatcher_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "column": "discount", + "name": "default_DOT_repair_orders_fact_DOT_discount", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.discount", + "semantic_type": "measure", + "type": "float", + }, + { + "column": "price", + "name": "default_DOT_repair_orders_fact_DOT_price", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price", + "semantic_type": "measure", + "type": "float", + }, + ], + [ + (3, 0.05000000074505806, 63708.0), + (1, 0.05000000074505806, 67253.0), + (2, 0.05000000074505806, 66808.0), + (1, 0.05000000074505806, 18497.0), + (2, 0.05000000074505806, 76463.0), + (2, 0.05000000074505806, 87858.0), + (2, 0.05000000074505806, 63918.0), + (3, 0.05000000074505806, 21083.0), + (2, 0.05000000074505806, 74555.0), + (3, 0.05000000074505806, 27222.0), + (1, 0.05000000074505806, 73600.0), + (3, 0.009999999776482582, 54901.0), + (1, 0.009999999776482582, 51594.0), + (2, 0.009999999776482582, 65114.0), + (3, 0.009999999776482582, 48919.0), + (3, 0.009999999776482582, 70418.0), + (3, 0.009999999776482582, 29684.0), + (1, 0.009999999776482582, 62928.0), + (3, 0.009999999776482582, 97916.0), + (1, 0.009999999776482582, 44120.0), + (3, 0.009999999776482582, 53374.0), + (1, 0.009999999776482582, 87289.0), + (1, 0.009999999776482582, 92366.0), + (2, 0.009999999776482582, 47857.0), + (2, 0.009999999776482582, 68745.0), + ], + ), + # # Two metrics with overlapping measures + one joinable dimension + ( + [ + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + ], + ["default.dispatcher.dispatcher_id"], + [], + [], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ) + SELECT + default_DOT_repair_orders_fact.dispatcher_id + default_DOT_dispatcher_DOT_dispatcher_id, + default_DOT_repair_orders_fact.discount + default_DOT_repair_orders_fact_DOT_discount, + default_DOT_repair_orders_fact.price + default_DOT_repair_orders_fact_DOT_price + FROM default_DOT_repair_orders_fact + """, + [ + { + "column": "dispatcher_id", + "name": "default_DOT_dispatcher_DOT_dispatcher_id", + "node": "default.repair_orders_fact", + "semantic_entity": "default.dispatcher.dispatcher_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "column": "discount", + "name": "default_DOT_repair_orders_fact_DOT_discount", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.discount", + "semantic_type": "measure", + "type": "float", + }, + { + "column": "price", + "name": "default_DOT_repair_orders_fact_DOT_price", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price", + "semantic_type": "measure", + "type": "float", + }, + ], + [ + (3, 0.05000000074505806, 63708.0), + (1, 0.05000000074505806, 67253.0), + (2, 0.05000000074505806, 66808.0), + (1, 0.05000000074505806, 18497.0), + (2, 0.05000000074505806, 76463.0), + (2, 0.05000000074505806, 87858.0), + (2, 0.05000000074505806, 63918.0), + (3, 0.05000000074505806, 21083.0), + (2, 0.05000000074505806, 74555.0), + (3, 0.05000000074505806, 27222.0), + (1, 0.05000000074505806, 73600.0), + (3, 0.009999999776482582, 54901.0), + (1, 0.009999999776482582, 51594.0), + (2, 0.009999999776482582, 65114.0), + (3, 0.009999999776482582, 48919.0), + (3, 0.009999999776482582, 70418.0), + (3, 0.009999999776482582, 29684.0), + (1, 0.009999999776482582, 62928.0), + (3, 0.009999999776482582, 97916.0), + (1, 0.009999999776482582, 44120.0), + (3, 0.009999999776482582, 53374.0), + (1, 0.009999999776482582, 87289.0), + (1, 0.009999999776482582, 92366.0), + (2, 0.009999999776482582, 47857.0), + (2, 0.009999999776482582, 68745.0), + ], + ), + # Two metrics with different measures + two dimensions from different sources + ( + ["default.avg_time_to_dispatch", "default.total_repair_cost"], + [ + "default.us_state.state_name", + "default.dispatcher.company_name", + "default.hard_hat.last_name", + ], + [ + "default.us_state.state_name = 'New Jersey'", + "default.hard_hat.last_name IN ('Brian')", + ], + [], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity + AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date + AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date + AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.last_name IN ('Brian') + ), + default_DOT_us_state AS ( + SELECT + s.state_id, + s.state_name, + s.state_abbr AS state_short, + s.state_region + FROM roads.us_states AS s + WHERE s.state_name = 'New Jersey' + ), + default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ) + SELECT + default_DOT_repair_orders_fact.total_repair_cost + default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_repair_orders_fact.time_to_dispatch + default_DOT_repair_orders_fact_DOT_time_to_dispatch, + default_DOT_us_state.state_name + default_DOT_us_state_DOT_state_name, + default_DOT_dispatcher.company_name + default_DOT_dispatcher_DOT_company_name, + default_DOT_hard_hat.last_name + default_DOT_hard_hat_DOT_last_name + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_us_state + ON default_DOT_hard_hat.state = default_DOT_us_state.state_short + LEFT JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id =default_DOT_dispatcher.dispatcher_id + WHERE default_DOT_us_state.state_name = 'New Jersey' AND default_DOT_hard_hat.last_name IN ('Brian') + """, + [ + { + "column": "total_repair_cost", + "name": "default_DOT_repair_orders_fact_DOT_total_repair_cost", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.total_repair_cost", + "semantic_type": "measure", + "type": "float", + }, + { + "column": "time_to_dispatch", + "name": "default_DOT_repair_orders_fact_DOT_time_to_dispatch", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.time_to_dispatch", + "semantic_type": "measure", + "type": "timestamp", + }, + { + "column": "state_name", + "name": "default_DOT_us_state_DOT_state_name", + "node": "default.us_state", + "semantic_entity": "default.us_state.state_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "company_name", + "name": "default_DOT_dispatcher_DOT_company_name", + "node": "default.dispatcher", + "semantic_entity": "default.dispatcher.company_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "last_name", + "name": "default_DOT_hard_hat_DOT_last_name", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.last_name", + "semantic_type": "dimension", + "type": "string", + }, + ], + [ + (92366.0, 204, "New Jersey", "Pothole Pete", "Brian"), + (44120.0, 196, "New Jersey", "Pothole Pete", "Brian"), + (18497.0, 146, "New Jersey", "Pothole Pete", "Brian"), + (63708.0, 150, "New Jersey", "Federal Roads Group", "Brian"), + ], + ), + ( + ["default.avg_time_to_dispatch"], + ["default.dispatcher.company_name", "default.hard_hat.last_name"], + ["default.hard_hat.last_name IN ('Brian')"], + ["default.dispatcher.company_name"], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.last_name IN ('Brian') + ) + SELECT + default_DOT_repair_orders_fact.time_to_dispatch default_DOT_repair_orders_fact_DOT_time_to_dispatch, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name + FROM default_DOT_repair_orders_fact + LEFT JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + WHERE default_DOT_hard_hat.last_name IN ('Brian') + ORDER BY default_DOT_dispatcher.company_name + """, + [], + [ + (150, "Federal Roads Group", "Brian"), + (146, "Pothole Pete", "Brian"), + (196, "Pothole Pete", "Brian"), + (204, "Pothole Pete", "Brian"), + ], + ), + ( + ["default.avg_time_to_dispatch"], + ["default.dispatcher.company_name", "default.hard_hat.last_name"], + ["default.hard_hat.last_name IN ('Brian')"], + ["default.dispatcher.company_name DESC"], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.last_name IN ('Brian') + ) + SELECT + default_DOT_repair_orders_fact.time_to_dispatch default_DOT_repair_orders_fact_DOT_time_to_dispatch, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name + FROM default_DOT_repair_orders_fact + LEFT JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + WHERE default_DOT_hard_hat.last_name IN ('Brian') + ORDER BY default_DOT_dispatcher.company_name DESC + """, + [], + [ + (146, "Pothole Pete", "Brian"), + (196, "Pothole Pete", "Brian"), + (204, "Pothole Pete", "Brian"), + (150, "Federal Roads Group", "Brian"), + ], + ), + ], +) +@pytest.mark.asyncio +async def test_measures_sql_with_filters__v2( + metrics, + dimensions, + filters, + orderby, + sql, + columns, + rows, + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, +): + """ + Test ``GET /sql/measures`` with various metrics, filters, and dimensions. + """ + await fix_dimension_links(module__client_with_roads) + sql_params = { + "metrics": metrics, + "dimensions": dimensions, + "filters": filters, + **({"orderby": orderby} if orderby else {}), + } + response = await module__client_with_roads.get( + "/sql/measures/v2", + params=sql_params, + ) + data = response.json() + translated_sql = data[0] + assert str(parse(str(sql))) == str(parse(str(translated_sql["sql"]))) + result = duckdb_conn.sql(translated_sql["sql"]) + assert set(result.fetchall()) == set(rows) + if columns: + assert translated_sql["columns"] == columns + + +@pytest.mark.parametrize( + "metrics, dimensions, filters, orderby, sql, columns, rows", + [ + # One metric with two measures + one local dimension. Both referenced measures should + # show up in the generated measures SQL + ( + ["default.total_repair_order_discounts"], + ["default.dispatcher.dispatcher_id"], + [], + [], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_repair_orders_fact.dispatcher_id default_DOT_dispatcher_DOT_dispatcher_id, + default_DOT_repair_orders_fact.discount, + default_DOT_repair_orders_fact.price + FROM default_DOT_repair_orders_fact + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_dispatcher_id, + SUM(price * discount) AS price_discount_sum_e4ba5456 + FROM default_DOT_repair_orders_fact_built + GROUP BY default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_dispatcher_id + """, + [ + { + "column": "dispatcher_id", + "name": "default_DOT_dispatcher_DOT_dispatcher_id", + "node": "default.dispatcher", + "semantic_entity": "default.dispatcher.dispatcher_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "column": "price_discount_sum_e4ba5456", + "name": "price_discount_sum_e4ba5456", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price_discount_sum_e4ba5456", + "semantic_type": "measure", + "type": "double", + }, + ], + [ + (1, 11350.47006225586), + (2, 20297.260345458984), + (3, 9152.770111083984), + ], + ), + # Two metrics with overlapping measures + one joinable dimension + ( + [ + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + ], + ["default.dispatcher.dispatcher_id"], + [], + [], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_repair_orders_fact.dispatcher_id default_DOT_dispatcher_DOT_dispatcher_id, + default_DOT_repair_orders_fact.discount, + default_DOT_repair_orders_fact.price + FROM default_DOT_repair_orders_fact + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_dispatcher_id, + SUM(price * discount) AS price_discount_sum_e4ba5456, + COUNT(price * discount) AS price_discount_count_e4ba5456 + FROM default_DOT_repair_orders_fact_built + GROUP BY default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_dispatcher_id + """, + [ + { + "column": "dispatcher_id", + "name": "default_DOT_dispatcher_DOT_dispatcher_id", + "node": "default.dispatcher", + "semantic_entity": "default.dispatcher.dispatcher_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "column": "price_discount_sum_e4ba5456", + "name": "price_discount_sum_e4ba5456", + "node": mock.ANY, + "semantic_entity": mock.ANY, + "semantic_type": "measure", + "type": "double", + }, + { + "column": "price_discount_count_e4ba5456", + "name": "price_discount_count_e4ba5456", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.price_discount_count_e4ba5456", + "semantic_type": "measure", + "type": "bigint", + }, + ], + [ + (2, 20297.260345458984, 8), + (1, 11350.47006225586, 8), + (3, 9152.770111083984, 9), + ], + ), + # Two metrics with different measures + two dimensions from different sources + ( + ["default.avg_time_to_dispatch", "default.total_repair_cost"], + [ + "default.us_state.state_name", + "default.dispatcher.company_name", + "default.hard_hat.last_name", + ], + [ + "default.us_state.state_name = 'New Jersey'", + "default.hard_hat.last_name IN ('Brian')", + ], + [], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.last_name IN ('Brian') + ), + default_DOT_us_state AS ( + SELECT + s.state_id, + s.state_name, + s.state_abbr AS state_short, + s.state_region + FROM roads.us_states AS s + WHERE s.state_name = 'New Jersey' + ), + default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_repair_orders_fact.total_repair_cost, + default_DOT_repair_orders_fact.time_to_dispatch, + default_DOT_us_state.state_name default_DOT_us_state_DOT_state_name, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_us_state + ON default_DOT_hard_hat.state = default_DOT_us_state.state_short + LEFT JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = + default_DOT_dispatcher.dispatcher_id + WHERE default_DOT_us_state.state_name = 'New Jersey' AND default_DOT_hard_hat.last_name IN ('Brian') + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_us_state_DOT_state_name, + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_last_name, + COUNT(CAST(time_to_dispatch AS INT)) AS time_to_dispatch_count_3bc9baed, + SUM(CAST(time_to_dispatch AS INT)) AS time_to_dispatch_sum_3bc9baed, + SUM(total_repair_cost) AS total_repair_cost_sum_67874507 + FROM default_DOT_repair_orders_fact_built + GROUP BY + default_DOT_repair_orders_fact_built.default_DOT_us_state_DOT_state_name, + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_last_name + """, + [ + { + "column": "state_name", + "name": "default_DOT_us_state_DOT_state_name", + "node": "default.us_state", + "semantic_entity": "default.us_state.state_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "company_name", + "name": "default_DOT_dispatcher_DOT_company_name", + "node": "default.dispatcher", + "semantic_entity": "default.dispatcher.company_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "last_name", + "name": "default_DOT_hard_hat_DOT_last_name", + "node": "default.hard_hat", + "semantic_entity": "default.hard_hat.last_name", + "semantic_type": "dimension", + "type": "string", + }, + { + "column": "time_to_dispatch_count_3bc9baed", + "name": "time_to_dispatch_count_3bc9baed", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.time_to_dispatch_count_3bc9baed", + "semantic_type": "measure", + "type": "bigint", + }, + { + "column": "time_to_dispatch_sum_3bc9baed", + "name": "time_to_dispatch_sum_3bc9baed", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.time_to_dispatch_sum_3bc9baed", + "semantic_type": "measure", + "type": "bigint", + }, + { + "column": "total_repair_cost_sum_67874507", + "name": "total_repair_cost_sum_67874507", + "node": "default.repair_orders_fact", + "semantic_entity": "default.repair_orders_fact.total_repair_cost_sum_67874507", + "semantic_type": "measure", + "type": "double", + }, + ], + [ + ("New Jersey", "Federal Roads Group", "Brian", 1, 150, 63708.0), + ("New Jersey", "Pothole Pete", "Brian", 3, 546, 154983.0), + ], + ), + ( + ["default.avg_time_to_dispatch"], + ["default.dispatcher.company_name", "default.hard_hat.last_name"], + ["default.hard_hat.last_name IN ('Brian')"], + ["default.dispatcher.company_name"], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.last_name IN ('Brian') + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_repair_orders_fact.time_to_dispatch, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name + FROM default_DOT_repair_orders_fact + LEFT JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = + default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + WHERE default_DOT_hard_hat.last_name IN ('Brian') + ORDER BY default_DOT_dispatcher.company_name + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_last_name, + COUNT(CAST(time_to_dispatch AS INT)) AS time_to_dispatch_count_3bc9baed, + SUM(CAST(time_to_dispatch AS INT)) AS time_to_dispatch_sum_3bc9baed + FROM default_DOT_repair_orders_fact_built + GROUP BY + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_last_name + """, + [], + [ + ("Federal Roads Group", "Brian", 1, 150), + ("Pothole Pete", "Brian", 3, 546), + ], + ), + ( + ["default.avg_time_to_dispatch"], + ["default.dispatcher.company_name", "default.hard_hat.last_name"], + ["default.hard_hat.last_name IN ('Brian')"], + ["default.dispatcher.company_name DESC"], + """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.last_name IN ('Brian') + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_repair_orders_fact.time_to_dispatch, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name + FROM default_DOT_repair_orders_fact + LEFT JOIN default_DOT_dispatcher + ON default_DOT_repair_orders_fact.dispatcher_id = + default_DOT_dispatcher.dispatcher_id + INNER JOIN default_DOT_hard_hat + ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + WHERE default_DOT_hard_hat.last_name IN ('Brian') + ORDER BY default_DOT_dispatcher.company_name DESC + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_last_name, + COUNT(CAST(time_to_dispatch AS INT)) AS time_to_dispatch_count_3bc9baed, + SUM(CAST(time_to_dispatch AS INT)) AS time_to_dispatch_sum_3bc9baed + FROM default_DOT_repair_orders_fact_built + GROUP BY + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_last_name + """, + [], + [ + ("Pothole Pete", "Brian", 3, 546), + ("Federal Roads Group", "Brian", 1, 150), + ], + ), + ], +) +@pytest.mark.asyncio +async def test_measures_sql_preaggregate( + metrics, + dimensions, + filters, + orderby, + sql, + columns, + rows, + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, +): + """ + Test ``GET /sql/measures`` with various metrics, filters, and dimensions. + """ + await fix_dimension_links(module__client_with_roads) + sql_params = { + "metrics": metrics, + "dimensions": dimensions, + "filters": filters, + **({"orderby": orderby} if orderby else {}), + "preaggregate": True, + } + response = await module__client_with_roads.get( + "/sql/measures/v2", + params=sql_params, + ) + data = response.json() + translated_sql = data[0] + assert str(parse(str(sql))) == str(parse(str(translated_sql["sql"]))) + result = duckdb_conn.sql(translated_sql["sql"]) + assert set(result.fetchall()) == set(rows) + if columns: + assert translated_sql["columns"] == columns + + +@pytest.mark.asyncio +async def test_measures_sql_include_all_columns( + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, +): + """ + Test ``GET /sql/measures/v2`` with include_all_columns set to true. + """ + await fix_dimension_links(module__client_with_roads) + + response = await module__client_with_roads.get( + "/sql/measures/v2", + params={ + "metrics": ["default.avg_time_to_dispatch"], + "dimensions": [ + "default.us_state.state_name", + "default.dispatcher.company_name", + "default.hard_hat.last_name", + ], + "filters": [ + "default.us_state.state_name = 'New Jersey'", + "default.hard_hat.last_name IN ('Brian')", + ], + "include_all_columns": True, + }, + ) + data = response.json() + translated_sql = data[0] + + expected_sql = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + WHERE default_DOT_hard_hats.last_name IN ('Brian') + ), + default_DOT_us_state AS ( + SELECT s.state_id, + s.state_name, + s.state_abbr AS state_short, + s.state_region + FROM roads.us_states AS s + WHERE s.state_name = 'New Jersey' + ), + default_DOT_dispatcher AS ( + SELECT default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ) + SELECT default_DOT_repair_orders_fact.repair_order_id default_DOT_repair_orders_fact_DOT_repair_order_id, + default_DOT_repair_orders_fact.municipality_id default_DOT_repair_orders_fact_DOT_municipality_id, + default_DOT_repair_orders_fact.hard_hat_id default_DOT_repair_orders_fact_DOT_hard_hat_id, + default_DOT_repair_orders_fact.dispatcher_id default_DOT_repair_orders_fact_DOT_dispatcher_id, + default_DOT_repair_orders_fact.order_date default_DOT_repair_orders_fact_DOT_order_date, + default_DOT_repair_orders_fact.dispatched_date default_DOT_repair_orders_fact_DOT_dispatched_date, + default_DOT_repair_orders_fact.required_date default_DOT_repair_orders_fact_DOT_required_date, + default_DOT_repair_orders_fact.discount default_DOT_repair_orders_fact_DOT_discount, + default_DOT_repair_orders_fact.price default_DOT_repair_orders_fact_DOT_price, + default_DOT_repair_orders_fact.quantity default_DOT_repair_orders_fact_DOT_quantity, + default_DOT_repair_orders_fact.repair_type_id default_DOT_repair_orders_fact_DOT_repair_type_id, + default_DOT_repair_orders_fact.total_repair_cost default_DOT_repair_orders_fact_DOT_total_repair_cost, + default_DOT_repair_orders_fact.time_to_dispatch default_DOT_repair_orders_fact_DOT_time_to_dispatch, + default_DOT_repair_orders_fact.dispatch_delay default_DOT_repair_orders_fact_DOT_dispatch_delay, + default_DOT_us_state.state_name default_DOT_us_state_DOT_state_name, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + INNER JOIN default_DOT_us_state ON default_DOT_hard_hat.state = default_DOT_us_state.state_short + LEFT JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + WHERE default_DOT_us_state.state_name = 'New Jersey' AND default_DOT_hard_hat.last_name IN ('Brian') + """ + assert str(parse(str(expected_sql))) == str(parse(str(translated_sql["sql"]))) + result = duckdb_conn.sql(translated_sql["sql"]) + assert len(result.fetchall()) == 4 + + +@pytest.mark.asyncio +async def test_measures_sql_errors( + module__client_with_roads: AsyncClient, +): + """ + Test ``GET /sql/measures/v2`` with include_all_columns set to true. + """ + await fix_dimension_links(module__client_with_roads) + + response = await module__client_with_roads.get( + "/sql/measures/v2", + params={ + "metrics": ["default.avg_time_to_dispatch"], + "dimensions": [ + "default.hard_hat.last_name", + ], + "filters": [ + "default.us_state.state_name = 'New Jersey'", + "default.hard_hat.last_name IN ('Brian')", + ], + "orderby": ["default.dispatcher.company_name"], + }, + ) + data = response.json() + assert data[0]["errors"] == [ + { + "code": 208, + "message": "['default.dispatcher.company_name'] is not a valid ORDER BY request", + "debug": { + "node_revision": "default.repair_orders_fact", + "filters": [ + "default.us_state.state_name = 'New Jersey'", + "default.hard_hat.last_name IN ('Brian')", + ], + "required_dimensions": [], + "dimensions": ["default.hard_hat.last_name"], + "orderby": ["default.dispatcher.company_name"], + "limit": None, + "ignore_errors": True, + "build_criteria": { + "timestamp": None, + "dialect": "spark", + "target_node_name": None, + }, + }, + "context": "", + }, + ] + + +async def create_metric_distinct_single_column(client: AsyncClient): + metric_name = "default.number_of_hard_hats" + await client.post( + "/nodes/metric", + json={ + "description": "A count distinct metric", + "query": "SELECT COUNT(DISTINCT hard_hat_id) FROM default.repair_orders_fact", + "mode": "published", + "name": metric_name, + }, + ) + response = await client.get(f"/metrics/{metric_name}") + metric_data = response.json() + assert metric_data["measures"] == [ + { + "aggregation": None, + "expression": "hard_hat_id", + "merge": None, + "name": "hard_hat_id_distinct_ac37a223", + "rule": {"level": ["hard_hat_id"], "type": "limited"}, + }, + ] + assert ( + metric_data["derived_expression"] + == "COUNT( DISTINCT hard_hat_id_distinct_ac37a223)" + ) + return metric_name + + +async def create_metric_distinct_expression(client: AsyncClient): + metric_name = "default.distinct_hard_hat_id_expression" + await client.post( + "/nodes/metric", + json={ + "description": "A count distinct metric", + "query": "SELECT COUNT(DISTINCT IF(hard_hat_id = 1, 1, 0)) FROM default.repair_orders_fact", + "mode": "published", + "name": metric_name, + }, + ) + response = await client.get(f"/metrics/{metric_name}") + metric_data = response.json() + assert metric_data["measures"] == [ + { + "aggregation": None, + "expression": "IF(hard_hat_id = 1, 1, 0)", + "merge": None, + "name": "hard_hat_id_distinct_0291ee39", + "rule": {"level": ["IF(hard_hat_id = 1, 1, 0)"], "type": "limited"}, + }, + ] + assert ( + metric_data["derived_expression"] + == "COUNT( DISTINCT hard_hat_id_distinct_0291ee39)" + ) + return metric_name + + +@pytest.mark.asyncio +async def test_measures_sql_agg_distinct_metric( + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, +): + """ + Test `GET /sql/measures` with metrics that have an aggregation that uses the + DISTINCT quantifier, like COUNT(DISTINCT ...). + """ + await fix_dimension_links(module__client_with_roads) + metric_simple = await create_metric_distinct_single_column( + module__client_with_roads, + ) + metric_complex = await create_metric_distinct_expression(module__client_with_roads) + + response = await module__client_with_roads.get( + "/sql/measures/v2", + params={ + "metrics": ["default.avg_repair_price", metric_simple, metric_complex], + "dimensions": [ + "default.dispatcher.company_name", + ], + "filters": [], + "preaggregate": True, + }, + ) + data = response.json() + translated_sql = data[0] + assert translated_sql["grain"] == ["default_DOT_dispatcher_DOT_company_name"] + expected_sql = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_repair_orders_fact.hard_hat_id, + default_DOT_repair_orders_fact.price, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name + FROM default_DOT_repair_orders_fact LEFT JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + COUNT(price) AS price_count_935e7117, + SUM(price) AS price_sum_935e7117, + hard_hat_id AS hard_hat_id_distinct_ac37a223, + IF(hard_hat_id = 1, 1, 0) AS hard_hat_id_distinct_0291ee39 + FROM default_DOT_repair_orders_fact_built + GROUP BY + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + hard_hat_id, + IF(hard_hat_id = 1, 1, 0) + """ + assert str(parse(str(expected_sql))) == str(parse(str(translated_sql["sql"]))) + result = duckdb_conn.sql(translated_sql["sql"]) + assert set(result.fetchall()) == { + ("Federal Roads Group", 1, 63708.0, 1, 1), + ("Pothole Pete", 1, 67253.0, 3, 0), + ("Asphalts R Us", 2, 114665.0, 5, 0), + ("Pothole Pete", 3, 154983.0, 1, 1), + ("Asphalts R Us", 1, 76463.0, 8, 0), + ("Asphalts R Us", 2, 162413.0, 3, 0), + ("Asphalts R Us", 1, 63918.0, 4, 0), + ("Federal Roads Group", 2, 118999.0, 5, 0), + ("Federal Roads Group", 1, 27222.0, 4, 0), + ("Pothole Pete", 2, 125194.0, 4, 0), + ("Federal Roads Group", 1, 54901.0, 8, 0), + ("Asphalts R Us", 2, 133859.0, 6, 0), + ("Federal Roads Group", 2, 78603.0, 2, 0), + ("Federal Roads Group", 1, 70418.0, 9, 0), + ("Pothole Pete", 1, 62928.0, 6, 0), + ("Federal Roads Group", 1, 53374.0, 7, 0), + ("Pothole Pete", 1, 87289.0, 5, 0), + } + + +@pytest.mark.asyncio +async def test_measures_sql_simple_agg_metric( + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, +): + """ + Test ``GET /sql/measures`` with metrics that have simple aggregations. + """ + await fix_dimension_links(module__client_with_roads) + response = await module__client_with_roads.get( + "/sql/measures/v2", + params={ + "metrics": ["default.avg_repair_price", "default.num_repair_orders"], + "dimensions": [ + "default.dispatcher.company_name", + ], + "filters": [], + "preaggregate": True, + }, + ) + data = response.json() + translated_sql = data[0] + assert translated_sql["grain"] == ["default_DOT_dispatcher_DOT_company_name"] + expected_sql = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details + ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_dispatcher AS ( + SELECT + default_DOT_dispatchers.dispatcher_id, + default_DOT_dispatchers.company_name, + default_DOT_dispatchers.phone + FROM roads.dispatchers AS default_DOT_dispatchers + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_repair_orders_fact.repair_order_id, + default_DOT_repair_orders_fact.price, + default_DOT_dispatcher.company_name default_DOT_dispatcher_DOT_company_name + FROM default_DOT_repair_orders_fact LEFT JOIN default_DOT_dispatcher ON default_DOT_repair_orders_fact.dispatcher_id = default_DOT_dispatcher.dispatcher_id + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name, + COUNT(price) AS price_count_935e7117, + SUM(price) AS price_sum_935e7117, + COUNT(repair_order_id) AS repair_order_id_count_bd241964 + FROM default_DOT_repair_orders_fact_built + GROUP BY default_DOT_repair_orders_fact_built.default_DOT_dispatcher_DOT_company_name + """ + assert str(parse(str(expected_sql))) == str(parse(str(translated_sql["sql"]))) + result = duckdb_conn.sql(translated_sql["sql"]) + assert set(result.fetchall()) == { + ("Pothole Pete", 8, 497647.0, 8), + ("Asphalts R Us", 8, 551318.0, 8), + ("Federal Roads Group", 9, 467225.0, 9), + } + + +@pytest.mark.asyncio +async def test_metrics_sql_different_parents( + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, +): + """ + Test ``GET /sql`` for metrics from different parents. + """ + await fix_dimension_links(module__client_with_roads) + + response = await module__client_with_roads.get( + "/sql", + params={ + "metrics": [ + "default.avg_length_of_employment", + "default.total_repair_cost", + ], + "dimensions": [ + "default.hard_hat.first_name", + "default.hard_hat.last_name", + ], + "filters": [ + # "default.hard_hat.first_name like '%a%'", + ], + "orderby": ["default.hard_hat.last_name"], + "limit": 5, + }, + ) + data = response.json() + expected_sql = """WITH +default_DOT_hard_hat AS ( +SELECT default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats +), +default_DOT_repair_orders_fact AS ( +SELECT repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id +), +default_DOT_hard_hat_metrics AS ( +SELECT default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name, + default_DOT_hard_hat.first_name default_DOT_hard_hat_DOT_first_name, + avg(CAST(NOW() AS DATE) - default_DOT_hard_hat.hire_date) default_DOT_avg_length_of_employment + FROM default_DOT_hard_hat + GROUP BY default_DOT_hard_hat.last_name, default_DOT_hard_hat.first_name +), +default_DOT_repair_orders_fact_metrics AS ( +SELECT default_DOT_hard_hat.first_name default_DOT_hard_hat_DOT_first_name, + default_DOT_hard_hat.last_name default_DOT_hard_hat_DOT_last_name, + sum(default_DOT_repair_orders_fact.total_repair_cost) default_DOT_total_repair_cost + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + GROUP BY default_DOT_hard_hat.first_name, default_DOT_hard_hat.last_name +) +SELECT default_DOT_hard_hat_metrics.default_DOT_hard_hat_DOT_last_name, + default_DOT_hard_hat_metrics.default_DOT_hard_hat_DOT_first_name, + default_DOT_hard_hat_metrics.default_DOT_avg_length_of_employment, + default_DOT_repair_orders_fact_metrics.default_DOT_total_repair_cost + FROM default_DOT_hard_hat_metrics FULL JOIN default_DOT_repair_orders_fact_metrics ON default_DOT_hard_hat_metrics.default_DOT_hard_hat_DOT_first_name = default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_first_name AND default_DOT_hard_hat_metrics.default_DOT_hard_hat_DOT_last_name = default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_last_name + ORDER BY default_DOT_hard_hat_metrics.default_DOT_hard_hat_DOT_last_name + LIMIT 5""" + assert str(parse(str(data["sql"]))) == str(parse(expected_sql)) + + response = await module__client_with_roads.get( + "/sql", + params={ + "metrics": [ + "default.avg_length_of_employment", + "default.total_repair_cost", + ], + "dimensions": [ + "default.hard_hat.first_name", + "default.hard_hat.last_name", + ], + "filters": [], + "orderby": "default.hard_hat.last_name", + "limit": 5, + }, + ) + data = response.json() + assert str(parse(str(data["sql"]))) == str(parse(expected_sql)) + + result = duckdb_conn.sql(data["sql"]) + assert result.fetchall() == [ + ("Alfred", "Clarke", mock.ANY, 196787.0), + ("Brian", "Perkins", mock.ANY, 218691.0), + ("Cathy", "Best", mock.ANY, 229666.0), + ("Donna", "Riley", mock.ANY, 320953.0), + ("Luka", "Henderson", mock.ANY, 131364.0), + ] + + +@pytest.mark.asyncio +async def test_measures_sql_local_dimensions( + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, +): + """ + Test measures SQL for metrics that reference local dimensions + """ + await fix_dimension_links(module__client_with_roads) + + response = await module__client_with_roads.get( + "/sql/measures/v2", + params={ + "metrics": [ + "default.avg_length_of_employment", + ], + "dimensions": [ + "default.hard_hat.hire_date", + ], + "filters": [], + "preaggregate": True, + }, + ) + data = response.json() + expected_sql = """ + WITH default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_hard_hat_built AS ( + SELECT + default_DOT_hard_hat.hire_date default_DOT_hard_hat_DOT_hire_date + FROM default_DOT_hard_hat + ) + SELECT + default_DOT_hard_hat_built.default_DOT_hard_hat_DOT_hire_date, + COUNT(CAST(NOW() AS DATE) - default_DOT_hard_hat_DOT_hire_date) AS hire_date_count_3ce5a421, + SUM(CAST(NOW() AS DATE) - default_DOT_hard_hat_DOT_hire_date) AS hire_date_sum_3ce5a421 + FROM default_DOT_hard_hat_built + GROUP BY + default_DOT_hard_hat_built.default_DOT_hard_hat_DOT_hire_date + """ + assert str(parse(str(expected_sql))) == str(parse(str(data[0]["sql"]))) + duckdb_conn.sql(data[0]["sql"]) + + +class TestMeasuresSQLMetricDefinitionsWithDimensions: + """ + Test measures SQL for metric definitions that reference joinable dimensions + """ + + @pytest.mark.asyncio + async def test_metric_definitions_with_nonjoinable_dimensions( + self, + module__client_with_roads: AsyncClient, + ): + """ + Test measures SQL for metric definitions that reference non-joinable dimensions + (e.g., dimension cannot be be joined in). + """ + await fix_dimension_links(module__client_with_roads) + + metric_name = "default.non_joinable_dims_in_metric" + response = await module__client_with_roads.post( + "/nodes/metric", + json={ + "description": "An example metric with a definition that references a joinable dimension", + "query": "SELECT SUM(default.local_hard_hats_2.hard_hat_id) FROM default.repair_orders_fact", + "mode": "published", + "name": metric_name, + "display_name": "Non-Joinable Dimensions in Metric", + }, + ) + assert response.status_code == 201 + response = await module__client_with_roads.get(f"/metrics/{metric_name}") + data = response.json() + assert data["measures"] == [ + { + "aggregation": "SUM", + "expression": "default.local_hard_hats_2.hard_hat_id", + "merge": "SUM", + "name": "default_DOT_local_hard_hats_2_DOT_hard_hat_id_sum_bf8a8419", + "rule": { + "level": None, + "type": "full", + }, + }, + ] + assert ( + data["derived_expression"] + == "SUM(default_DOT_local_hard_hats_2_DOT_hard_hat_id_sum_bf8a8419)" + ) + response = await module__client_with_roads.get( + "/sql/measures/v2", + params={ + "metrics": [metric_name], + "dimensions": ["default.hard_hat.city"], + "filters": [], + "preaggregate": True, + }, + ) + data = response.json() + assert data[0]["errors"] == [ + { + "code": 205, + "context": mock.ANY, + "debug": None, + "message": "This dimension attribute cannot be joined in: " + "default.local_hard_hats_2.hard_hat_id. Please make sure that " + "default.local_hard_hats_2 is linked to default.repair_orders_fact", + }, + ] + + @pytest.mark.asyncio + async def test_metric_definitions_with_single_joinable_dimensions( + self, + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, + ): + """ + Test measures SQL for metric definitions that reference non-joinable dimensions + (e.g., dimension not found). + """ + await fix_dimension_links(module__client_with_roads) + + metric_name = "default.num_municipality_contacts" + response = await module__client_with_roads.post( + "/nodes/metric", + json={ + "query": "SELECT COUNT(DISTINCT default.municipality_dim.contact_name) FROM default.repair_orders_fact", + "mode": "published", + "name": metric_name, + "display_name": "Number of Municipality Contacts", + "description": "An example metric with a definition that references a joinable dimension", + }, + ) + assert response.status_code == 201 + response = await module__client_with_roads.get(f"/metrics/{metric_name}") + data = response.json() + assert data["measures"] == [ + { + "aggregation": None, + "expression": "default.municipality_dim.contact_name", + "merge": None, + "name": "default_DOT_municipality_dim_DOT_contact_name_distinct_bc16351d", + "rule": { + "level": ["default.municipality_dim.contact_name"], + "type": "limited", + }, + }, + ] + assert ( + data["derived_expression"] + == "COUNT( DISTINCT default_DOT_municipality_dim_DOT_contact_name_distinct_bc16351d)" + ) + response = await module__client_with_roads.get( + "/sql/measures/v2", + params={ + "metrics": [metric_name], + "dimensions": [], + "filters": [], + "preaggregate": True, + }, + ) + data = response.json() + assert data[0]["errors"] == [] + expected_sql = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders + JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_municipality_dim AS ( + SELECT + m.municipality_id AS municipality_id, + m.contact_name, + m.contact_title, + m.local_region, + m.state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM roads.municipality AS m LEFT JOIN roads.municipality_municipality_type AS mmt ON m.municipality_id = mmt.municipality_id + LEFT JOIN roads.municipality_type AS mt ON mmt.municipality_type_id = mt.municipality_type_desc + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_municipality_dim.contact_name default_DOT_municipality_dim_DOT_contact_name + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_municipality_dim ON default_DOT_repair_orders_fact.municipality_id = default_DOT_municipality_dim.municipality_id + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_municipality_dim_DOT_contact_name, + default_DOT_municipality_dim_DOT_contact_name AS default_DOT_municipality_dim_DOT_contact_name_distinct_bc16351d + FROM default_DOT_repair_orders_fact_built + GROUP BY + default_DOT_repair_orders_fact_built.default_DOT_municipality_dim_DOT_contact_name, + default_DOT_municipality_dim_DOT_contact_name + """ + assert str(parse(data[0]["sql"])) == str(parse(expected_sql)) + result = duckdb_conn.sql(data[0]["sql"]) + assert result.fetchall() == [ + ("Alexander Wilkinson", "Alexander Wilkinson"), + ("Virgil Craft", "Virgil Craft"), + ("Chester Lyon", "Chester Lyon"), + ("Willie Chaney", "Willie Chaney"), + ] + + @pytest.mark.asyncio + async def test_metric_definition_with_multiple_joinable_dimensions( + self, + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, + ): + """ + Test measures SQL for metric definitions that reference joinable dimensions + """ + metric_name = "default.unique_hard_hat_names_in_ny" + response = await module__client_with_roads.post( + "/nodes/metric", + json={ + "description": "An example metric with a definition that references a joinable dimension", + "query": "SELECT COUNT(DISTINCT IF(default.hard_hat.state = 'NY', default.hard_hat.first_name, NULL)) FROM default.repair_orders_fact", + "mode": "published", + "name": metric_name, + "display_name": "Number of Unique Hard Hat Names in NY", + }, + ) + assert response.status_code == 201 + response = await module__client_with_roads.get(f"/metrics/{metric_name}") + data = response.json() + assert data["measures"] == [ + { + "aggregation": None, + "expression": "IF(default.hard_hat.state = 'NY', default.hard_hat.first_name, " + "NULL)", + "merge": None, + "name": "default_DOT_hard_hat_DOT_state_default_DOT_hard_hat_DOT_first_name_distinct_1a99d6a7", + "rule": { + "level": [ + "IF(default.hard_hat.state = 'NY', " + "default.hard_hat.first_name, NULL)", + ], + "type": "limited", + }, + }, + ] + assert data["derived_expression"] == ( + "COUNT( DISTINCT default_DOT_hard_hat_DOT_state_default_DOT_hard_hat_DOT_first_name_distinct_1a99d6a7)" + ) + response = await module__client_with_roads.get( + "/sql/measures/v2", + params={ + "metrics": [metric_name], + "dimensions": ["default.hard_hat.city"], + "filters": [], + "preaggregate": True, + }, + ) + data = response.json() + assert data[0]["errors"] == [] + expected_sql = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_repair_orders_fact_built AS ( + SELECT + default_DOT_hard_hat.city default_DOT_hard_hat_DOT_city, + default_DOT_hard_hat.first_name default_DOT_hard_hat_DOT_first_name, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state + FROM default_DOT_repair_orders_fact + INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + ) + SELECT + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_city, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_first_name, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_state, + IF(default_DOT_hard_hat_DOT_state = 'NY', default_DOT_hard_hat_DOT_first_name, NULL) AS default_DOT_hard_hat_DOT_state_default_DOT_hard_hat_DOT_first_name_distinct_1a99d6a7 + FROM default_DOT_repair_orders_fact_built + GROUP BY + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_city, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_first_name, + default_DOT_repair_orders_fact_built.default_DOT_hard_hat_DOT_state, + IF(default_DOT_hard_hat_DOT_state = 'NY', default_DOT_hard_hat_DOT_first_name, NULL) + """ + assert str(parse(data[0]["sql"])) == str(parse(expected_sql)) + result = duckdb_conn.sql(data[0]["sql"]) + assert result.fetchall() == [ + ("Jersey City", "Perkins", "NJ", None), + ("Billerica", "Best", "MA", None), + ("Southgate", "Riley", "MI", None), + ("Phoenix", "Henderson", "AZ", None), + ("Southampton", "Stafford", "PA", None), + ("Powder Springs", "Clarke", "GA", None), + ("Middletown", "Massey", "CT", None), + ("Muskogee", "Ziegler", "OK", None), + ("Niagara Falls", "Boone", "NY", "Boone"), + ] + + @pytest.mark.asyncio + async def test_sql_metric_definition_with_multiple_joinable_dimensions( + self, + module__client_with_roads: AsyncClient, + duckdb_conn: duckdb.DuckDBPyConnection, + ): + """ + Test measures SQL for metric definitions that reference joinable dimensions + """ + metric_name = "default.unique_hard_hat_names_in_ny2" + response = await module__client_with_roads.post( + "/nodes/metric", + json={ + "description": "An example metric with a definition that references a joinable dimension", + "query": "SELECT COUNT(DISTINCT IF(default.hard_hat.state = 'NY', default.hard_hat.first_name, NULL)) FROM default.repair_orders_fact", + "mode": "published", + "name": metric_name, + "display_name": "Number of Unique Hard Hat Names in NY", + }, + ) + response = await module__client_with_roads.get( + "/sql", + params={ + "metrics": [metric_name], + "dimensions": [], + "filters": [], + "preaggregate": True, + }, + ) + data = response.json() + expected_sql = """ + WITH default_DOT_repair_orders_fact AS ( + SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay + FROM roads.repair_orders AS repair_orders JOIN roads.repair_order_details AS repair_order_details ON repair_orders.repair_order_id = repair_order_details.repair_order_id + ), + default_DOT_hard_hat AS ( + SELECT + default_DOT_hard_hats.hard_hat_id, + default_DOT_hard_hats.last_name, + default_DOT_hard_hats.first_name, + default_DOT_hard_hats.title, + default_DOT_hard_hats.birth_date, + default_DOT_hard_hats.hire_date, + default_DOT_hard_hats.address, + default_DOT_hard_hats.city, + default_DOT_hard_hats.state, + default_DOT_hard_hats.postal_code, + default_DOT_hard_hats.country, + default_DOT_hard_hats.manager, + default_DOT_hard_hats.contractor_id + FROM roads.hard_hats AS default_DOT_hard_hats + ), + default_DOT_repair_orders_fact_metrics AS ( + SELECT + default_DOT_hard_hat.first_name default_DOT_hard_hat_DOT_first_name, + default_DOT_hard_hat.state default_DOT_hard_hat_DOT_state, + COUNT( DISTINCT IF(default_DOT_hard_hat.state = 'NY', default_DOT_hard_hat.first_name, NULL)) default_DOT_unique_hard_hat_names_in_ny2 + FROM default_DOT_repair_orders_fact INNER JOIN default_DOT_hard_hat ON default_DOT_repair_orders_fact.hard_hat_id = default_DOT_hard_hat.hard_hat_id + GROUP BY + default_DOT_hard_hat.first_name, + default_DOT_hard_hat.state + ) + SELECT + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_first_name, + default_DOT_repair_orders_fact_metrics.default_DOT_hard_hat_DOT_state, + default_DOT_repair_orders_fact_metrics.default_DOT_unique_hard_hat_names_in_ny2 + FROM default_DOT_repair_orders_fact_metrics + """ + assert str(parse(data["sql"])) == str(parse(expected_sql)) + result = duckdb_conn.sql(data["sql"]) + assert result.fetchall() == [ + ("Perkins", "NJ", 0), + ("Best", "MA", 0), + ("Riley", "MI", 0), + ("Henderson", "AZ", 0), + ("Stafford", "PA", 0), + ("Clarke", "GA", 0), + ("Massey", "CT", 0), + ("Ziegler", "OK", 0), + ("Boone", "NY", 1), + ] + + +@pytest.mark.asyncio +async def test_approx_count_distinct_metric_sql( + module__client_with_simple_hll: AsyncClient, +): + """ + Test SQL generation for APPROX_COUNT_DISTINCT metric using a minimal fixture. + + This verifies that: + 1. The metric query generates valid SQL with APPROX_COUNT_DISTINCT + 2. The preaggregate path decomposes to Spark HLL functions + 3. The combiner uses hll_sketch_estimate(hll_union(...)) + + Uses the SIMPLE_HLL fixture which has just: + - hll.events (source table with user_id, category) + - hll.category_dim (dimension) + - hll.unique_users (APPROX_COUNT_DISTINCT metric) + """ + client = module__client_with_simple_hll + + # Test basic metric query (no preaggregate) + response = await client.get( + "/sql", + params={ + "metrics": ["hll.unique_users"], + "dimensions": ["hll.category_dim.category"], + "filters": [], + }, + ) + assert response.status_code == 200 + data = response.json() + + # The SQL should contain APPROX_COUNT_DISTINCT + assert "APPROX_COUNT_DISTINCT" in data["sql"].upper() + + # Test with preaggregate=True to get measures SQL + response = await client.get( + "/sql/measures/v2", + params={ + "metrics": ["hll.unique_users"], + "dimensions": ["hll.category_dim.category"], + "filters": [], + "preaggregate": True, + }, + ) + assert response.status_code == 200 + data = response.json() + translated_sql = data[0] + + # The measures SQL should use Spark HLL functions: + # - hll_sketch_estimate for the finalize step + # - hll_union for the merge step + assert str(parse(translated_sql["sql"])) == str( + parse("""WITH hll_DOT_events AS ( + SELECT hll_DOT_events.event_id, + hll_DOT_events.user_id, + hll_DOT_events.category, + hll_DOT_events.event_time + FROM hll.events AS hll_DOT_events + ), + hll_DOT_events_built AS ( + SELECT hll_DOT_events.user_id, + hll_DOT_events.category hll_DOT_category_dim_DOT_category + FROM hll_DOT_events + ) + + SELECT hll_DOT_events_built.hll_DOT_category_dim_DOT_category, + hll_sketch_agg(user_id) AS user_id_hll_7a744b96 + FROM hll_DOT_events_built + GROUP BY hll_DOT_events_built.hll_DOT_category_dim_DOT_category + """), + ) + assert translated_sql["grain"] == ["hll_DOT_category_dim_DOT_category"] + + response = await client.get("/metrics/hll.unique_users") + assert str(parse(response.json()["derived_query"])) == str( + parse( + "SELECT hll_sketch_estimate(hll_union_agg(user_id_hll_7a744b96)) FROM hll.events", + ), + ) diff --git a/datajunction-server/tests/api/system_test.py b/datajunction-server/tests/api/system_test.py new file mode 100644 index 000000000..747e25629 --- /dev/null +++ b/datajunction-server/tests/api/system_test.py @@ -0,0 +1,189 @@ +from httpx import AsyncClient +import pytest +import pytest_asyncio + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_system( + module__client_with_roads: AsyncClient, +) -> AsyncClient: + """ + Fixture to provide a client with system endpoints. + """ + await module__client_with_roads.post("/register/table/dj_metadata/public/node") + await module__client_with_roads.post( + "/register/table/dj_metadata/public/noderevision", + ) + await module__client_with_roads.post("/namespaces/system.dj") + await module__client_with_roads.post( + "/nodes/dimension", + json={ + "name": "system.dj.nodes", + "display_name": "Nodes", + "description": "Nodes in the system", + "query": """SELECT + id, + N.name, + NR.display_name, + cast(N.type AS STRING) type, + N.namespace, + N.created_by_id, + N.created_at, + CAST(TO_CHAR(CAST(N.created_at AS date), 'YYYYMMDD') AS integer) AS created_at_date, + CAST(TO_CHAR(CAST(DATE_TRUNC('week', N.created_at) AS date), 'YYYYMMDD') AS integer) AS created_at_week, + N.current_version, + CASE WHEN deactivated_at IS NULL THEN true ELSE false END AS is_active, + NR.status, + NR.description, + NR.id AS current_revision_id + FROM source.dj_metadata.public.node N + JOIN source.dj_metadata.public.noderevision NR ON NR.node_id = N.id AND NR.version = N.current_version""", + "primary_key": ["id"], + "mode": "published", + }, + ) + await module__client_with_roads.post( + "/nodes/dimension", + json={ + "name": "system.dj.node_type", + "display_name": "Node Type", + "description": "node types", + "query": """SELECT + type, type_upper + FROM + VALUES + ('source', 'SOURCE'), + ('transform', 'TRANSFORM'), + ('dimension', 'DIMENSION'), + ('metric', 'METRIC'), + ('cube', 'CUBE') + AS t (type, type_upper)""", + "primary_key": ["type_upper"], + "mode": "published", + }, + ) + await module__client_with_roads.post( + "/nodes/system.dj.nodes/link", + json={ + "dimension_node": "system.dj.node_type", + "join_on": "system.dj.nodes.type = system.dj.node_type.type_upper", + }, + ) + await module__client_with_roads.post( + "/nodes/metric", + json={ + "name": "system.dj.number_of_nodes", + "display_name": "Number of Nodes", + "description": "Number of nodes in the system", + "query": "SELECT COUNT(*) AS count FROM system.dj.nodes", + "mode": "published", + }, + ) + return module__client_with_roads + + +@pytest.mark.asyncio +async def test_system_metrics(module__client_with_system: AsyncClient) -> None: + """ + Test ``GET /system/metrics``. + """ + response = await module__client_with_system.get("/system/metrics") + data = response.json() + assert data == ["system.dj.number_of_nodes"] + + +@pytest.mark.asyncio +async def test_system_metric_data_no_dimensions( + module__client_with_system: AsyncClient, +) -> None: + """ + Test ``GET /system/data`` without dimensions. + """ + response = await module__client_with_system.get( + "/system/data/system.dj.number_of_nodes", + params={ + "dimensions": [], + "filters": [], + }, + ) + data = response.json() + assert len(data) == 1 + assert len(data[0]) == 1 + assert data[0][0]["col"] == "system.dj.number_of_nodes" + # With all examples loaded, there will be more nodes than just roads + assert data[0][0]["value"] >= 42 + + +@pytest.mark.asyncio +async def test_system_metric_data_with_dimensions( + module__client_with_system: AsyncClient, +) -> None: + """ + Test ``GET /system/data`` with dimensions. + """ + response = await module__client_with_system.get( + "/system/data/system.dj.number_of_nodes", + params={ + "dimensions": ["system.dj.node_type.type"], + "filters": ["system.dj.nodes.is_active = true"], + }, + ) + data = response.json() + + # Should have results for each node type + type_values = { + row[0]["value"] for row in data if row[0]["col"] == "system.dj.node_type.type" + } + assert "dimension" in type_values + assert "metric" in type_values + assert "source" in type_values + assert "transform" in type_values + + # Each row should have counts >= the roads-only values + for row in data: + type_col = next( + (c for c in row if c["col"] == "system.dj.node_type.type"), + None, + ) + count_col = next( + (c for c in row if c["col"] == "system.dj.number_of_nodes"), + None, + ) + if type_col and count_col: + if type_col["value"] == "dimension": + assert count_col["value"] >= 13 + elif type_col["value"] == "metric": + assert count_col["value"] >= 11 + elif type_col["value"] == "source": + assert count_col["value"] >= 15 + elif type_col["value"] == "transform": + assert count_col["value"] >= 3 + + +@pytest.mark.asyncio +async def test_system_dimension_stats(module__client_with_system: AsyncClient) -> None: + """ + Test ``GET /system/dimensions``. + """ + response = await module__client_with_system.get("/system/dimensions") + data = response.json() + + assert response.status_code == 200 + + # With all examples, there will be more dimensions + dim_names = {d["name"] for d in data} + + # These dimensions from roads example should be present + assert "default.dispatcher" in dim_names + assert "default.hard_hat" in dim_names + assert "default.contractor" in dim_names + assert "system.dj.node_type" in dim_names + assert "system.dj.nodes" in dim_names + + # Verify structure of each dimension + for dim in data: + assert "name" in dim + assert "indegree" in dim + assert "cube_count" in dim + assert isinstance(dim["indegree"], int) + assert isinstance(dim["cube_count"], int) diff --git a/datajunction-server/tests/api/tags_test.py b/datajunction-server/tests/api/tags_test.py new file mode 100644 index 000000000..79740bb35 --- /dev/null +++ b/datajunction-server/tests/api/tags_test.py @@ -0,0 +1,457 @@ +""" +Tests for tags. +""" + +from unittest import mock + +import pytest +import pytest_asyncio +from httpx import AsyncClient +from sqlalchemy import text +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.base import Base + + +class TestTags: + """ + Test tags API endpoints. + """ + + @pytest_asyncio.fixture(autouse=True) + async def cleanup_tables(self, module__session: AsyncSession): + """ + Fixture to clean up tables after each test is run + """ + yield # Testing happens + # Teardown: remove any data from database (even data not created by this session) + for table in Base.metadata.tables.keys(): + if table != "users": + await module__session.execute(text(f'TRUNCATE TABLE "{table}" CASCADE')) + await module__session.commit() + + async def create_tag(self, module__client: AsyncClient): + """ + Creates a tag. + """ + response = await module__client.post( + "/tags/", + json={ + "name": "sales_report", + "display_name": "Sales Report", + "description": "All metrics for sales", + "tag_type": "group", + "tag_metadata": {}, + }, + ) + return response + + async def create_another_tag(self, module__client: AsyncClient): + """ + Creates another tag + """ + response = await module__client.post( + "/tags/", + json={ + "name": "reports", + "display_name": "Reports", + "description": "Sales metrics", + "tag_type": "group", + "tag_metadata": {}, + }, + ) + return response + + @pytest.mark.asyncio + async def test_create_and_read_tag(self, module__client: AsyncClient) -> None: + """ + Test ``POST /tags`` and ``GET /tags/{name}`` + """ + response = await self.create_tag(module__client) + expected_tag_output = { + "tag_metadata": {}, + "display_name": "Sales Report", + "description": "All metrics for sales", + "name": "sales_report", + "tag_type": "group", + } + assert response.status_code == 201 + assert response.json() == expected_tag_output + + response = await module__client.post( + "/tags/", + json={ + "name": "sales_report2", + "display_name": "Sales Report2", + "tag_type": "group", + }, + ) + assert response.status_code == 201 + expected_tag_output2 = { + "tag_metadata": {}, + "display_name": "Sales Report2", + "description": None, + "name": "sales_report2", + "tag_type": "group", + } + assert response.json() == expected_tag_output2 + + response = await module__client.get("/tags/sales_report/") + assert response.status_code == 200 + assert response.json() == expected_tag_output + + response = await module__client.get("/tags/sales_report2/") + assert response.status_code == 200 + assert response.json() == expected_tag_output2 + + # Check history + response = await module__client.get("/history/tag/sales_report/") + assert response.json() == [ + { + "activity_type": "create", + "node": None, + "created_at": mock.ANY, + "details": {}, + "entity_name": "sales_report", + "entity_type": "tag", + "id": mock.ANY, + "post": {}, + "pre": {}, + "user": "dj", + }, + ] + + # Creating it again should raise an exception + response = await self.create_tag(module__client) + response_data = response.json() + assert ( + response_data["message"] == "A tag with name `sales_report` already exists!" + ) + + @pytest.mark.asyncio + async def test_update_tag(self, module__client: AsyncClient) -> None: + """ + Tests updating a tag. + """ + response = await self.create_tag(module__client) + assert response.status_code == 201 + response = await module__client.post( + "/tags/", + json={ + "name": "sales_report", + "display_name": "Sales Report", + "description": "All metrics for sales", + "tag_type": "group", + "tag_metadata": {}, + }, + ) + + # Trying updating the tag + response = await module__client.patch( + "/tags/sales_report/", + json={ + "description": "Helpful sales metrics", + "tag_metadata": {"order": 1}, + "display_name": "Sales Metrics", + }, + ) + assert response.status_code == 200 + response_data = response.json() + assert response_data == { + "tag_metadata": {"order": 1}, + "display_name": "Sales Metrics", + "description": "Helpful sales metrics", + "name": "sales_report", + "tag_type": "group", + } + + # Trying updating the tag + response = await module__client.patch( + "/tags/sales_report/", + json={}, + ) + assert response.json() == { + "tag_metadata": {"order": 1}, + "display_name": "Sales Metrics", + "description": "Helpful sales metrics", + "name": "sales_report", + "tag_type": "group", + } + + # Check history + response = await module__client.get("/history/tag/sales_report/") + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"]) for activity in history + ] == [("update", "tag"), ("update", "tag"), ("create", "tag")] + + @pytest.mark.asyncio + async def test_list_tags(self, module__client: AsyncClient) -> None: + """ + Test ``GET /tags`` + """ + response = await self.create_tag(module__client) + assert response.status_code == 201 + + response = await module__client.get("/tags/") + assert response.status_code == 200 + response_data = response.json() + + assert response_data == [ + { + "description": "All metrics for sales", + "display_name": "Sales Report", + "name": "sales_report", + "tag_metadata": {}, + "tag_type": "group", + }, + ] + + await module__client.post( + "/tags/", + json={ + "name": "impressions_report", + "display_name": "Impressions Report", + "description": "Metrics for various types of impressions", + "tag_type": "group", + "tag_metadata": {}, + }, + ) + + await module__client.post( + "/tags/", + json={ + "name": "rotors", + "display_name": "Rotors", + "description": "Department of brakes", + "tag_type": "business_area", + "tag_metadata": {}, + }, + ) + + response = await module__client.get("/tags/?tag_type=group") + assert response.status_code == 200 + response_data = response.json() + assert response_data == [ + { + "description": "All metrics for sales", + "tag_metadata": {}, + "name": "sales_report", + "display_name": "Sales Report", + "tag_type": "group", + }, + { + "description": "Metrics for various types of impressions", + "tag_metadata": {}, + "name": "impressions_report", + "display_name": "Impressions Report", + "tag_type": "group", + }, + ] + + response = await module__client.get("/tags/?tag_type=business_area") + assert response.status_code == 200 + response_data = response.json() + assert response_data == [ + { + "name": "rotors", + "display_name": "Rotors", + "description": "Department of brakes", + "tag_type": "business_area", + "tag_metadata": {}, + }, + ] + + @pytest.mark.asyncio + async def test_add_tag_to_node(self, client_with_dbt: AsyncClient) -> None: + """ + Test ``POST /tags`` and ``GET /tags/{name}`` + """ + response = await self.create_tag(client_with_dbt) + assert response.status_code == 201 + await self.create_another_tag(client_with_dbt) + + # Trying tag a node with a nonexistent tag should fail + response = await client_with_dbt.post( + "/nodes/default.items_sold_count/tags?tag_names=random_tag", + ) + assert response.status_code == 404 + response_data = response.json() + assert response_data["message"] == "Tags not found: random_tag" + + # Trying tag a node with an existing tag should succeed + response = await client_with_dbt.post( + "/nodes/default.items_sold_count/tags/?tag_names=sales_report", + ) + assert response.status_code == 200 + response_data = response.json() + assert response_data["message"] == ( + "Node `default.items_sold_count` has been successfully " + "updated with the following tags: sales_report" + ) + + # Test finding all nodes for that tag + response = await client_with_dbt.get( + "/tags/sales_report/nodes/", + ) + assert response.status_code == 200 + response_data = response.json() + assert len(response_data) == 1 + assert response_data == [ + { + "display_name": "Items Sold Count", + "mode": "published", + "name": "default.items_sold_count", + "description": "Total units sold", + "edited_by": [], + "tags": [], + "status": "valid", + "type": "metric", + "updated_at": mock.ANY, + "version": "v1.0", + }, + ] + + # Tag a second node + response = await client_with_dbt.post( + "/nodes/default.total_profit/tags/?tag_names=sales_report&tag_names=reports", + ) + assert response.status_code == 200 + response_data = response.json() + assert ( + response_data["message"] + == "Node `default.total_profit` has been successfully " + "updated with the following tags: sales_report, reports" + ) + + # Check history + response = await client_with_dbt.get("/history?node=default.total_profit") + history = response.json() + assert [ + (activity["activity_type"], activity["entity_type"], activity["details"]) + for activity in history + ] == [ + ("tag", "node", {"tags": ["sales_report", "reports"]}), + ("create", "node", {}), + ] + + # Check finding nodes for tag + response = await client_with_dbt.get( + "/tags/sales_report/nodes/", + ) + assert response.status_code == 200 + response_data = response.json() + assert len(response_data) == 2 + assert response_data == [ + { + "display_name": "Items Sold Count", + "mode": "published", + "name": "default.items_sold_count", + "description": "Total units sold", + "status": "valid", + "edited_by": [], + "tags": [], + "type": "metric", + "updated_at": mock.ANY, + "version": "v1.0", + }, + { + "display_name": "Total Profit", + "mode": "published", + "name": "default.total_profit", + "description": "Total profit", + "status": "valid", + "edited_by": [], + "tags": [], + "type": "metric", + "updated_at": mock.ANY, + "version": "v1.0", + }, + ] + + # Check getting nodes for tag after deactivating a node + await client_with_dbt.delete("/nodes/default.total_profit") + response = await client_with_dbt.get( + "/tags/sales_report/nodes/", + ) + assert response.status_code == 200 + response_data = response.json() + assert len(response_data) == 1 + assert response_data[0]["name"] == "default.items_sold_count" + + # Check finding nodes for tag + response = await client_with_dbt.get( + "/tags/random_tag/nodes/", + ) + assert response.status_code == 404 + response_data = response.json() + assert ( + response_data["message"] == "A tag with name `random_tag` does not exist." + ) + + # Check finding nodes for tag + response = await client_with_dbt.get( + "/tags/sales_report/nodes/?node_type=transform", + ) + assert response.status_code == 200 + response_data = response.json() + assert response_data == [] + + @pytest.mark.asyncio + async def test_tagging_node_with_same_tags_does_not_create_history( + self, + client_with_dbt: AsyncClient, + ) -> None: + """ + Test that tagging a node with the same tags doesn't create a new history event. + """ + # Create tags + await self.create_tag(client_with_dbt) + await self.create_another_tag(client_with_dbt) + + # Tag a node with two tags + response = await client_with_dbt.post( + "/nodes/default.items_sold_count/tags/?tag_names=sales_report&tag_names=reports", + ) + assert response.status_code == 200 + + # Check history - should have one tag event + response = await client_with_dbt.get( + "/history?node=default.items_sold_count", + ) + history = response.json() + tag_events = [h for h in history if h["activity_type"] == "tag"] + assert len(tag_events) == 1 + assert tag_events[0]["details"] == {"tags": ["sales_report", "reports"]} + + # Tag the same node with the same tags again (order may differ) + response = await client_with_dbt.post( + "/nodes/default.items_sold_count/tags/?tag_names=reports&tag_names=sales_report", + ) + assert response.status_code == 200 + + # Check history again - should still have only one tag event (no new history) + response = await client_with_dbt.get( + "/history?node=default.items_sold_count", + ) + history = response.json() + tag_events = [h for h in history if h["activity_type"] == "tag"] + assert len(tag_events) == 1, ( + "No new history event should be created when tags haven't changed" + ) + + # Now actually change the tags - remove one + response = await client_with_dbt.post( + "/nodes/default.items_sold_count/tags/?tag_names=sales_report", + ) + assert response.status_code == 200 + + # Check history - should now have two tag events + response = await client_with_dbt.get( + "/history?node=default.items_sold_count", + ) + history = response.json() + tag_events = [h for h in history if h["activity_type"] == "tag"] + assert len(tag_events) == 2, ( + "A new history event should be created when tags are changed" + ) diff --git a/datajunction-server/tests/api/users_test.py b/datajunction-server/tests/api/users_test.py new file mode 100644 index 000000000..618a15378 --- /dev/null +++ b/datajunction-server/tests/api/users_test.py @@ -0,0 +1,81 @@ +""" +Tests for users API endpoints +""" + +import pytest +from httpx import AsyncClient + + +class TestUsers: + """ + Test users API endpoints. + """ + + @pytest.mark.asyncio + async def test_get_users(self, module__client_with_roads: AsyncClient) -> None: + """ + Test ``GET /users`` + """ + + response = await module__client_with_roads.get("/users?with_activity=true") + users = response.json() + # Find the dj user - with all examples loaded, count will be higher + dj_user = next((u for u in users if u["username"] == "dj"), None) + assert dj_user is not None + assert dj_user["count"] >= 54 # At least roads example count + + response = await module__client_with_roads.get("/users") + assert "dj" in response.json() + + @pytest.mark.asyncio + async def test_list_nodes_by_user( + self, + module__client_with_roads: AsyncClient, + ) -> None: + """ + Test ``GET /users/{username}`` + """ + + response = await module__client_with_roads.get("/users/dj") + actual_nodes = {(node["name"], node["type"]) for node in response.json()} + # Expected nodes from ROADS examples - should be present (may have more from template) + expected_roads_nodes = { + ("default.repair_orders", "source"), + ("default.repair_orders_view", "source"), + ("default.repair_order_details", "source"), + ("default.repair_type", "source"), + ("default.contractors", "source"), + ("default.municipality_municipality_type", "source"), + ("default.municipality_type", "source"), + ("default.municipality", "source"), + ("default.dispatchers", "source"), + ("default.hard_hats", "source"), + ("default.hard_hat_state", "source"), + ("default.us_states", "source"), + ("default.us_region", "source"), + ("default.repair_order", "dimension"), + ("default.contractor", "dimension"), + ("default.hard_hat", "dimension"), + ("default.hard_hat_2", "dimension"), + ("default.hard_hat_to_delete", "dimension"), + ("default.local_hard_hats", "dimension"), + ("default.local_hard_hats_1", "dimension"), + ("default.local_hard_hats_2", "dimension"), + ("default.us_state", "dimension"), + ("default.dispatcher", "dimension"), + ("default.municipality_dim", "dimension"), + ("default.regional_level_agg", "transform"), + ("default.national_level_agg", "transform"), + ("default.repair_orders_fact", "transform"), + ("default.regional_repair_efficiency", "metric"), + ("default.num_repair_orders", "metric"), + ("default.num_unique_hard_hats_approx", "metric"), + ("default.avg_repair_price", "metric"), + ("default.total_repair_cost", "metric"), + ("default.avg_length_of_employment", "metric"), + ("default.discounted_orders_rate", "metric"), + ("default.total_repair_order_discounts", "metric"), + ("default.avg_repair_order_discounts", "metric"), + ("default.avg_time_to_dispatch", "metric"), + } + assert expected_roads_nodes.issubset(actual_nodes) diff --git a/datajunction-server/tests/conftest.py b/datajunction-server/tests/conftest.py new file mode 100644 index 000000000..b1e5e63cc --- /dev/null +++ b/datajunction-server/tests/conftest.py @@ -0,0 +1,2296 @@ +""" +Fixtures for testing. +""" + +import asyncio +import subprocess +import sys +from collections import namedtuple +from sqlalchemy.pool import NullPool +from contextlib import ExitStack, asynccontextmanager, contextmanager +from datetime import timedelta +import os +import pathlib +import re +from http.client import HTTPException +from typing import ( + Any, + AsyncGenerator, + Awaitable, + Callable, + Collection, + Coroutine, + Dict, + Generator, + Iterator, + List, + Optional, +) +from unittest.mock import AsyncMock, MagicMock, patch +from urllib.parse import urlparse + +from psycopg import connect + +import duckdb +import httpx +import sqlglot +import pytest +import pytest_asyncio +from cachelib.simple import SimpleCache +from fastapi import Request +from fastapi_cache import FastAPICache +from fastapi_cache.backends.inmemory import InMemoryBackend +from httpx import AsyncClient +from pytest_mock import MockerFixture +from sqlalchemy import text +from sqlalchemy.dialects.postgresql import insert +from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine +from testcontainers.core.waiting_utils import wait_for_logs +from testcontainers.postgres import PostgresContainer + +from fastapi import BackgroundTasks + +from datajunction_server.api.main import app +from datajunction_server.api.attributes import default_attribute_types +from datajunction_server.internal.seed import seed_default_catalogs +from datajunction_server.config import DatabaseConfig, Settings +from datajunction_server.database.base import Base +from datajunction_server.database.column import Column +from datajunction_server.database.engine import Engine +from datajunction_server.database.user import User +from datajunction_server.errors import DJQueryServiceClientEntityNotFound +from datajunction_server.internal.access.authorization import ( + get_authorization_service, + PassthroughAuthorizationService, +) +from datajunction_server.models.materialization import MaterializationInfo +from datajunction_server.models.query import QueryCreate, QueryWithResults +from datajunction_server.models.user import OAuthProvider +from datajunction_server.internal.access.authentication.tokens import create_token +from datajunction_server.service_clients import QueryServiceClient +from datajunction_server.typing import QueryState +from datajunction_server.utils import ( + DatabaseSessionManager, + get_query_service_client, + get_session, + get_session_manager, + get_settings, +) + +from .examples import COLUMN_MAPPINGS, EXAMPLES, QUERY_DATA_MAPPINGS, SERVICE_SETUP + + +def transpile_to_duckdb(sql: str) -> str: + """ + Transpile SQL from Spark dialect to DuckDB dialect for test execution. + """ + try: + # Transpile from Spark to DuckDB + transpiled = sqlglot.transpile(sql, read="spark", write="duckdb", pretty=True)[ + 0 + ] + print(f"\n=== TRANSPILED SQL ===\n{transpiled}\n=== END ===\n") + return transpiled + except Exception as e: + # If transpilation fails, return original SQL and let DuckDB try + print(f"\n=== TRANSPILATION FAILED: {e} ===\n{sql}\n=== END ===\n") + return sql + + +PostgresCluster = namedtuple("PostgresCluster", ["writer", "reader"]) + + +@pytest.fixture(scope="module") +def module__background_tasks() -> Generator[ + list[tuple[Callable, tuple, dict]], + None, + None, +]: + original_add_task = BackgroundTasks.add_task + tasks = [] + + def fake_add_task(self, func, *args, **kwargs): + tasks.append((func, args, kwargs)) + return None + + BackgroundTasks.add_task = fake_add_task + yield tasks + BackgroundTasks.add_task = original_add_task + + +@pytest.fixture +def background_tasks() -> Generator[list[tuple[Callable, tuple, dict]], None, None]: + original_add_task = BackgroundTasks.add_task + tasks = [] + + def fake_add_task(self, func, *args, **kwargs): + tasks.append((func, args, kwargs)) + return None + + BackgroundTasks.add_task = fake_add_task + yield tasks + BackgroundTasks.add_task = original_add_task + + +@pytest.fixture(scope="module") +def jwt_token() -> str: + """ + JWT token fixture for testing. + """ + return create_token( + {"username": "dj"}, + secret="a-fake-secretkey", + iss="http://localhost:8000/", + expires_delta=timedelta(hours=24), + ) + + +@pytest.fixture(autouse=True) +def _init_cache() -> Generator[Any, Any, None]: + """ + Initialize FastAPI caching + """ + FastAPICache.init(InMemoryBackend()) + yield + FastAPICache.reset() + + +@pytest_asyncio.fixture +def settings( + mocker: MockerFixture, + postgres_container: PostgresContainer, +) -> Iterator[Settings]: + """ + Custom settings for unit tests. + """ + writer_db = DatabaseConfig(uri=postgres_container.get_connection_url()) + reader_db = DatabaseConfig( + uri=postgres_container.get_connection_url().replace( + "dj:dj@", + "readonly_user:readonly@", + ), + ) + settings = Settings( + writer_db=writer_db, + reader_db=reader_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service="query_service:8001", + secret="a-fake-secretkey", + transpilation_plugins=["default"], + ) + + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import SQLTranspilationPlugin + + register_dialect_plugin("spark", SQLTranspilationPlugin) + + mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + + yield settings + + +class FuncPostgresContainer: + """Wrapper that provides function-specific database URL from shared container.""" + + def __init__(self, container: PostgresContainer, db_url: str, dbname: str): + self._container = container + self._db_url = db_url + self._dbname = dbname + + def get_connection_url(self) -> str: + return self._db_url + + def __getattr__(self, name): + return getattr(self._container, name) + + +@pytest.fixture +def func__postgres_container( + request, + postgres_container: PostgresContainer, + template_database: str, +) -> Generator[PostgresContainer, None, None]: + """ + Function-scoped database container - clones from template for each test. + This provides test isolation while being fast (~100ms per clone vs 60s+ for HTTP loading). + """ + # Create a unique database name for this test + test_name = request.node.name + dbname = f"test_func_{abs(hash(test_name)) % 10000000}_{id(request)}" + + # Clone from template + db_url = clone_database_from_template( + postgres_container, + template_name=template_database, + target_name=dbname, + ) + + wrapper = FuncPostgresContainer(postgres_container, db_url, dbname) + yield wrapper # type: ignore + + # Clean up the test database + cleanup_database_for_module(postgres_container, dbname) + + +@pytest.fixture +def func__clean_postgres_container( + request, + postgres_container: PostgresContainer, +) -> Generator[PostgresContainer, None, None]: + """ + Function-scoped CLEAN database container - creates an empty database (no template). + Use this for tests that need full control over their data and don't want pre-loaded examples. + """ + # Create a unique database name for this test + test_name = request.node.name + dbname = f"test_clean_{abs(hash(test_name)) % 10000000}_{id(request)}" + + # Create a fresh empty database (no template) + db_url = create_database_for_module(postgres_container, dbname) + + wrapper = FuncPostgresContainer(postgres_container, db_url, dbname) + yield wrapper # type: ignore + + # Clean up the test database + cleanup_database_for_module(postgres_container, dbname) + + +@pytest_asyncio.fixture +def settings_no_qs( + mocker: MockerFixture, + func__postgres_container: PostgresContainer, +) -> Iterator[Settings]: + """ + Custom settings for unit tests. + Uses the function-scoped database for test isolation. + """ + writer_db = DatabaseConfig(uri=func__postgres_container.get_connection_url()) + reader_db = DatabaseConfig( + uri=func__postgres_container.get_connection_url().replace( + "dj:dj@", + "readonly_user:readonly@", + ), + ) + settings = Settings( + writer_db=writer_db, + reader_db=reader_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + transpilation_plugins=["default"], + ) + + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import SQLTranspilationPlugin + + register_dialect_plugin("spark", SQLTranspilationPlugin) + register_dialect_plugin("trino", SQLTranspilationPlugin) + register_dialect_plugin("druid", SQLTranspilationPlugin) + + mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + + yield settings + + # Cleanup is handled by func__postgres_container fixture + + +@pytest.fixture(scope="session") +def duckdb_conn() -> duckdb.DuckDBPyConnection: + """ + DuckDB connection fixture with mock roads data loaded. + + Creates a 'default' catalog so that queries like "default".roads.table work. + """ + with open( + os.path.join(os.path.dirname(__file__), "duckdb.sql"), + ) as mock_data: + with duckdb.connect( + ":memory:", + ) as conn: + # Attach memory database as 'default' catalog so "default".schema.table works + conn.execute("""ATTACH ':memory:' AS "default" """) + conn.execute("""USE "default" """) + conn.execute(mock_data.read()) + yield conn + + +@pytest.fixture(scope="session") +def postgres_container() -> PostgresContainer: + """ + Setup a single Postgres container for the entire test session. + + This container hosts: + 1. The 'dj' database (default) + 2. The template database with all examples pre-loaded + 3. Per-module databases cloned from the template + """ + postgres = PostgresContainer( + image="postgres:latest", + username="dj", + password="dj", + dbname="dj", + port=5432, + driver="psycopg", + ) + with postgres: + wait_for_logs( + postgres, + r"UTC \[1\] LOG: database system is ready to accept connections", + 10, + ) + create_readonly_user(postgres) + yield postgres + + +def create_session_factory(postgres_container) -> Awaitable[AsyncSession]: + """ + Returns a factory function that creates a new AsyncSession each time it is called. + """ + engine = create_async_engine( + url=postgres_container.get_connection_url(), + poolclass=NullPool, + ) + + async def init_db(): + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm;")) + await conn.run_sync(Base.metadata.create_all) + + # Make sure DB is initialized once + # NOTE: Use asyncio.run() instead of get_event_loop().run_until_complete() + # for Python 3.10+ compatibility. The old method can hang in pytest-xdist + # due to event loop lifecycle changes in Python 3.10+. + asyncio.run(init_db()) + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + + # Return a callable that produces a new session + async def get_session_factory() -> AsyncSession: + return async_session_factory() + + # Return the session factory and cleanup + return get_session_factory # type: ignore + + +@pytest_asyncio.fixture +async def session( + func__postgres_container: PostgresContainer, +) -> AsyncGenerator[AsyncSession, None]: + """ + Create a Postgres session to test models. + + Uses the function-scoped database container for test isolation. + Database is cloned from template with all examples pre-loaded. + """ + engine = create_async_engine( + url=func__postgres_container.get_connection_url(), + poolclass=NullPool, # NullPool avoids lock binding issues across event loops + ) + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + + async with async_session_factory() as session: + session.remove = AsyncMock(return_value=None) + yield session + + await engine.dispose() + # Cleanup is handled by func__postgres_container fixture + + +@pytest_asyncio.fixture +async def clean_session( + func__clean_postgres_container: PostgresContainer, +) -> AsyncGenerator[AsyncSession, None]: + """ + Create a Postgres session with an empty database (no pre-loaded examples). + + Use this for tests that need full control over their data state, + like construction tests that create their own nodes directly. + """ + # Register dialect plugins + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import ( + SQLTranspilationPlugin, + SQLGlotTranspilationPlugin, + ) + + register_dialect_plugin("spark", SQLTranspilationPlugin) + register_dialect_plugin("trino", SQLTranspilationPlugin) + register_dialect_plugin("druid", SQLTranspilationPlugin) + register_dialect_plugin("postgres", SQLGlotTranspilationPlugin) + + engine = create_async_engine( + url=func__clean_postgres_container.get_connection_url(), + poolclass=NullPool, # NullPool avoids lock binding issues across event loops + ) + + # Create tables in the clean database + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm;")) + await conn.run_sync(Base.metadata.create_all) + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + + async with async_session_factory() as session: + session.remove = AsyncMock(return_value=None) + yield session + + await engine.dispose() + # Cleanup is handled by func__clean_postgres_container fixture + + +@pytest_asyncio.fixture +def clean_settings_no_qs( + mocker: MockerFixture, + func__clean_postgres_container: PostgresContainer, +) -> Iterator[Settings]: + """ + Custom settings for clean (empty) database tests. + """ + writer_db = DatabaseConfig(uri=func__clean_postgres_container.get_connection_url()) + reader_db = DatabaseConfig( + uri=func__clean_postgres_container.get_connection_url().replace( + "dj:dj@", + "readonly_user:readonly@", + ), + ) + settings = Settings( + writer_db=writer_db, + reader_db=reader_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + transpilation_plugins=["default"], + ) + + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import SQLTranspilationPlugin + + register_dialect_plugin("spark", SQLTranspilationPlugin) + register_dialect_plugin("trino", SQLTranspilationPlugin) + register_dialect_plugin("druid", SQLTranspilationPlugin) + + mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + + yield settings + + +@pytest_asyncio.fixture +async def clean_client( + request, + postgres_container: PostgresContainer, + jwt_token: str, + background_tasks, + mocker: MockerFixture, +) -> AsyncGenerator[AsyncClient, None]: + """ + Create a client with an EMPTY database (no pre-loaded examples). + + Use this for tests that need full control over their data state, + such as dimension_links tests that use COMPLEX_DIMENSION_LINK data + which conflicts with the template database. + + NOTE: This fixture manages everything internally to avoid fixture dependency issues. + """ + use_patch = getattr(request, "param", True) + + # Create a unique database for this test + test_name = request.node.name + dbname = f"test_clean_{abs(hash(test_name)) % 10000000}_{id(request)}" + db_url = create_database_for_module(postgres_container, dbname) + + # Create settings for this clean database + writer_db = DatabaseConfig(uri=db_url) + reader_db = DatabaseConfig( + uri=db_url.replace("dj:dj@", "readonly_user:readonly@"), + ) + settings = Settings( + writer_db=writer_db, + reader_db=reader_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + transpilation_plugins=["default"], + ) + + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import SQLTranspilationPlugin + + register_dialect_plugin("spark", SQLTranspilationPlugin) + register_dialect_plugin("trino", SQLTranspilationPlugin) + register_dialect_plugin("druid", SQLTranspilationPlugin) + + mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + + # Create engine and session + engine = create_async_engine( + url=db_url, + poolclass=NullPool, # Avoids lock binding issues across event loops + ) + + # Create tables in the clean database + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm;")) + await conn.run_sync(Base.metadata.create_all) + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + + async with async_session_factory() as session: + session.remove = AsyncMock(return_value=None) + + # Initialize the empty database with required seed data + from datajunction_server.api.attributes import default_attribute_types + from datajunction_server.internal.seed import seed_default_catalogs + + await default_attribute_types(session) + await seed_default_catalogs(session) + await create_default_user(session) + await session.commit() + + def get_session_override() -> AsyncSession: + return session + + def get_settings_override() -> Settings: + return settings + + def get_passthrough_auth_service(): + """Override to approve all requests in tests.""" + return PassthroughAuthorizationService() + + if use_patch: + app.dependency_overrides[get_session] = get_session_override + app.dependency_overrides[get_settings] = get_settings_override + app.dependency_overrides[get_authorization_service] = ( + get_passthrough_auth_service + ) + + async with AsyncClient( + transport=httpx.ASGITransport(app=app), + base_url="http://test", + ) as test_client: + test_client.headers.update({"Authorization": f"Bearer {jwt_token}"}) + test_client.app = app + + # Wrap the request method to run background tasks after each request + original_request = test_client.request + + async def wrapped_request(method, url, *args, **kwargs): + response = await original_request(method, url, *args, **kwargs) + for func, f_args, f_kwargs in background_tasks: + result = func(*f_args, **f_kwargs) + if asyncio.iscoroutine(result): + await result + background_tasks.clear() + return response + + test_client.request = wrapped_request + yield test_client + + app.dependency_overrides.clear() + + await engine.dispose() + cleanup_database_for_module(postgres_container, dbname) + + +@pytest.fixture +def query_service_client( + mocker: MockerFixture, + duckdb_conn: duckdb.DuckDBPyConnection, +) -> Iterator[QueryServiceClient]: + """ + Custom settings for unit tests. + """ + qs_client = QueryServiceClient(uri="query_service:8001") + + def mock_get_columns_for_table( + catalog: str, + schema: str, + table: str, + engine: Optional[Engine] = None, + request_headers: Optional[Dict[str, str]] = None, + ) -> List[Column]: + return COLUMN_MAPPINGS[f"{catalog}.{schema}.{table}"] + + mocker.patch.object( + qs_client, + "get_columns_for_table", + mock_get_columns_for_table, + ) + + def mock_submit_query( + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + # Transpile from Spark to DuckDB before executing + transpiled_sql = transpile_to_duckdb(query_create.submitted_query) + print("transpiled_sql!!", transpiled_sql) + result = duckdb_conn.sql(transpiled_sql) + columns = [ + { + "name": col, + "type": str(type_).lower(), + "semantic_name": col, # Use column name as semantic name + "semantic_type": "dimension", # Default to dimension + } + for col, type_ in zip(result.columns, result.types) + ] + return QueryWithResults( + id="bd98d6be-e2d2-413e-94c7-96d9411ddee2", + submitted_query=query_create.submitted_query, + state=QueryState.FINISHED, + results=[ + { + "columns": columns, + "rows": result.fetchall(), + "sql": query_create.submitted_query, + }, + ], + errors=[], + ) + + mocker.patch.object( + qs_client, + "submit_query", + mock_submit_query, + ) + + def mock_create_view( + view_name: str, + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> str: + # Transpile from Spark to DuckDB before executing + transpiled_sql = transpile_to_duckdb(query_create.submitted_query) + duckdb_conn.sql(transpiled_sql) + return f"View {view_name} created successfully." + + mocker.patch.object( + qs_client, + "create_view", + mock_create_view, + ) + + def mock_get_query( + query_id: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> Collection[Collection[str]]: + if query_id == "foo-bar-baz": + raise DJQueryServiceClientEntityNotFound("Query foo-bar-baz not found.") + for _, response in QUERY_DATA_MAPPINGS.items(): + if response.id == query_id: + return response + raise RuntimeError(f"No mocked query exists for id {query_id}") + + mocker.patch.object( + qs_client, + "get_query", + mock_get_query, + ) + + mock_materialize = MagicMock() + mock_materialize.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + mocker.patch.object( + qs_client, + "materialize", + mock_materialize, + ) + + mock_deactivate_materialization = MagicMock() + mock_deactivate_materialization.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=[], + ) + mocker.patch.object( + qs_client, + "deactivate_materialization", + mock_deactivate_materialization, + ) + + mock_get_materialization_info = MagicMock() + mock_get_materialization_info.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + mocker.patch.object( + qs_client, + "get_materialization_info", + mock_get_materialization_info, + ) + + mock_run_backfill = MagicMock() + mock_run_backfill.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=[], + ) + mocker.patch.object( + qs_client, + "run_backfill", + mock_run_backfill, + ) + yield qs_client + + +@pytest.fixture +def session_factory(func__postgres_container) -> Awaitable[AsyncSession]: + """Function-scoped session factory using the shared function-scoped database.""" + return create_session_factory(func__postgres_container) + + +@pytest.fixture(scope="module") +def module__session_factory(module__postgres_container) -> Awaitable[AsyncSession]: + return create_session_factory(module__postgres_container) + + +@contextmanager +def patch_session_contexts( + session_factory, + use_patch: bool = True, +) -> Iterator[None]: + patch_targets = ( + [ + "datajunction_server.internal.caching.query_cache_manager.session_context", + "datajunction_server.internal.nodes.session_context", + "datajunction_server.internal.materializations.session_context", + "datajunction_server.api.deployments.session_context", + ] + if use_patch + else [] + ) + + @asynccontextmanager + async def fake_session_context( + request: Request = None, + ) -> AsyncGenerator[AsyncSession, None]: + session = await session_factory() + try: + yield session + finally: + await session.close() + + with ExitStack() as stack: + for target in patch_targets: + stack.enter_context(patch(target, fake_session_context)) + yield + + +@pytest_asyncio.fixture +async def client( + request, + session: AsyncSession, + settings_no_qs: Settings, + jwt_token: str, + background_tasks, + session_factory, +) -> AsyncGenerator[AsyncClient, None]: + """ + Create a client for testing APIs. + + This is function-scoped for test isolation - each test gets a fresh + transactional session that rolls back at the end. + + NOTE: The template database already has default attributes, catalogs, + and user seeded, so we skip those initialization steps. + """ + use_patch = getattr(request, "param", True) + + # Skip seeding - template database already has everything: + # - default_attribute_types + # - seed_default_catalogs + # - create_default_user + + def get_session_override() -> AsyncSession: + return session + + def get_settings_override() -> Settings: + return settings_no_qs + + def get_passthrough_auth_service(): + """Override to approve all requests in tests.""" + return PassthroughAuthorizationService() + + if use_patch: + app.dependency_overrides[get_session] = get_session_override + app.dependency_overrides[get_settings] = get_settings_override + app.dependency_overrides[get_authorization_service] = get_passthrough_auth_service + + async with AsyncClient( + transport=httpx.ASGITransport(app=app), + base_url="http://test", + ) as test_client: + with patch_session_contexts(session_factory): + test_client.headers.update({"Authorization": f"Bearer {jwt_token}"}) + test_client.app = app + + # Wrap the request method to run background tasks after each request + original_request = test_client.request + + async def wrapped_request(method, url, *args, **kwargs): + response = await original_request(method, url, *args, **kwargs) + for func, f_args, f_kwargs in background_tasks: + result = func(*f_args, **f_kwargs) + if asyncio.iscoroutine(result): + await result + background_tasks.clear() + return response + + test_client.request = wrapped_request + yield test_client + + app.dependency_overrides.clear() + + +async def post_and_raise_if_error(client: AsyncClient, endpoint: str, json: dict): + """ + Post the payload to the client and raise if there's an error + """ + response = await client.post(endpoint, json=json) + if response.status_code not in (200, 201): + raise HTTPException(response.text) + + +async def post_and_dont_raise_if_error(client: AsyncClient, endpoint: str, json: dict): + """ + Post the payload to the client and don't raise if there's an error + """ + await client.post(endpoint, json=json) + + +async def load_examples_in_client( + client: AsyncClient, + examples_to_load: Optional[List[str]] = None, +): + """ + Load the DJ client with examples. + NOTE: Uses post_and_dont_raise_if_error to handle cases where examples + already exist in the template database. + """ + # Basic service setup always has to be done (i.e., create catalogs, engines, namespaces etc) + for endpoint, json in SERVICE_SETUP: + await post_and_dont_raise_if_error( + client=client, + endpoint="http://test" + endpoint, + json=json, # type: ignore + ) + + # Load only the selected examples if any are specified + if examples_to_load is not None: + for example_name in examples_to_load: + for endpoint, json in EXAMPLES[example_name]: # type: ignore + await post_and_dont_raise_if_error( + client=client, + endpoint=endpoint, + json=json, # type: ignore + ) + return client + + # Load all examples if none are specified + for example_name, examples in EXAMPLES.items(): + for endpoint, json in examples: # type: ignore + await post_and_dont_raise_if_error( + client=client, + endpoint=endpoint, + json=json, # type: ignore + ) + return client + + +@pytest_asyncio.fixture +async def client_example_loader( + client: AsyncClient, +) -> Callable[[list[str] | None], Coroutine[Any, Any, AsyncClient]]: + """ + Provides a callable fixture for loading examples into a DJ client. + + NOTE: Since function-scoped fixtures now use the module's database which + has all examples pre-loaded from the template, we just return the client + without loading any examples. + """ + + async def _load_examples(examples_to_load: Optional[List[str]] = None): + # Examples are already loaded in the template database + return client + + return _load_examples + + +@pytest_asyncio.fixture +async def client_with_examples( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with all examples + """ + return await client_example_loader(None) + + +@pytest_asyncio.fixture +async def client_with_service_setup( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with just the service setup + """ + return await client_example_loader([]) + + +@pytest_asyncio.fixture +async def client_with_roads( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with roads examples + """ + return await client_example_loader(["ROADS"]) + + +@pytest_asyncio.fixture +async def client_with_namespaced_roads( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with namespaced roads examples + """ + return await client_example_loader(["NAMESPACED_ROADS"]) + + +@pytest_asyncio.fixture +async def client_with_basic( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with basic examples + """ + return await client_example_loader(["BASIC"]) + + +@pytest_asyncio.fixture +async def client_with_account_revenue( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with account revenue examples + """ + return await client_example_loader(["ACCOUNT_REVENUE"]) + + +@pytest_asyncio.fixture +async def client_with_event( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with event examples + """ + return await client_example_loader(["EVENT"]) + + +@pytest_asyncio.fixture +async def client_with_dbt( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with dbt examples + """ + return await client_example_loader(["DBT"]) + + +@pytest_asyncio.fixture +async def client_with_build_v3( + client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with BUILD_V3 examples. + This is the comprehensive test model for V3 SQL generation, including: + - Multi-hop dimension traversal with roles + - Dimension hierarchies (date, location) + - Cross-fact derived metrics (orders + page_views) + - Period-over-period metrics (window functions) + - Multiple aggregability levels + """ + return await client_example_loader(["BUILD_V3"]) + + +def compare_parse_trees(tree1, tree2): + """ + Recursively compare two ANTLR parse trees for equality. + """ + # Check if the node types are the same + if type(tree1) is not type(tree2): + return False + + # Check if the node texts are the same + if tree1.getText() is not tree2.getText(): + return False + + # Check if the number of child nodes is the same + if tree1.getChildCount() != tree2.getChildCount(): + return False + + # Recursively compare child nodes + for i in range(tree1.getChildCount()): + child1 = tree1.getChild(i) + child2 = tree2.getChild(i) + if not compare_parse_trees(child1, child2): + return False + + # If all checks passed, the trees are equal + return True + + +COMMENT = re.compile(r"(--.*)|(/\*[\s\S]*?\*/)") +TRAILING_ZEROES = re.compile(r"(\d+\.\d*?[1-9])0+|\b(\d+)\.0+\b") +DIFF_IGNORE = re.compile(r"[\';\s]+") + + +def compare_query_strings(str1, str2): + """ + Recursively compare two ANTLR parse trees for equality, ignoring certain elements. + """ + + str1 = DIFF_IGNORE.sub("", TRAILING_ZEROES.sub("", COMMENT.sub("", str1))).upper() + str2 = DIFF_IGNORE.sub("", TRAILING_ZEROES.sub("", COMMENT.sub("", str2))).upper() + + return str1 == str2 + + +@pytest.fixture +def compare_query_strings_fixture(): + """ + Fixture for comparing two query strings. + """ + return compare_query_strings + + +@pytest_asyncio.fixture +async def client_qs( + session: AsyncSession, + settings: Settings, + query_service_client: QueryServiceClient, + mocker: MockerFixture, + session_factory: AsyncSession, + jwt_token: str, +) -> AsyncGenerator[AsyncClient, None]: + """ + Create a client for testing APIs. + """ + # Use on_conflict_do_nothing to handle case where user already exists in template + statement = ( + insert(User) + .values( + username="dj", + email=None, + name=None, + oauth_provider="basic", + is_admin=False, + ) + .on_conflict_do_nothing(index_elements=["username"]) + ) + await session.execute(statement) + await default_attribute_types(session) + await seed_default_catalogs(session) + + def get_query_service_client_override( + request: Request = None, + ) -> QueryServiceClient: + return query_service_client + + def get_settings_override() -> Settings: + return settings + + def get_passthrough_auth_service(): + """Override to approve all requests in tests.""" + return PassthroughAuthorizationService() + + def get_session_override() -> AsyncSession: + return session + + app.dependency_overrides[get_session] = get_session_override + app.dependency_overrides[get_settings] = get_settings_override + app.dependency_overrides[get_authorization_service] = get_passthrough_auth_service + app.dependency_overrides[get_query_service_client] = ( + get_query_service_client_override + ) + + with mocker.patch( + "datajunction_server.api.materializations.get_query_service_client", + return_value=query_service_client, + ): + async with AsyncClient( + transport=httpx.ASGITransport(app=app), + base_url="http://test", + ) as test_client: + with patch_session_contexts(session_factory): + test_client.headers.update( + { + "Authorization": f"Bearer {jwt_token}", + }, + ) + test_client.app = app + yield test_client + + app.dependency_overrides.clear() + + +@pytest_asyncio.fixture +async def client_with_query_service_example_loader( + client_qs: AsyncClient, +) -> Callable[[Optional[List[str]]], AsyncClient]: + """ + Provides a callable fixture for loading examples into a test client + fixture that additionally has a mocked query service. + """ + + def _load_examples(examples_to_load: Optional[List[str]] = None): + return load_examples_in_client(client_qs, examples_to_load) + + return _load_examples + + +@pytest_asyncio.fixture +async def client_with_query_service( + client_with_query_service_example_loader: Callable[ + [Optional[List[str]]], + AsyncClient, + ], +) -> AsyncClient: + """ + Client with query service and all examples loaded. + """ + return await client_with_query_service_example_loader(None) + + +def pytest_addoption(parser): + """ + Add flags that enable groups of tests + """ + parser.addoption( + "--tpcds", + action="store_true", + dest="tpcds", + default=False, + help="include tests for parsing TPC-DS queries", + ) + + parser.addoption( + "--auth", + action="store_true", + dest="auth", + default=False, + help="Run authentication tests", + ) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_example_loader( + module__client: AsyncClient, +) -> Callable[[list[str] | None], Coroutine[Any, Any, AsyncClient]]: + """ + Provides a callable fixture for loading examples into a DJ client. + + NOTE: Examples are already loaded in the template database that was cloned, + so this just returns the client directly. + """ + + async def _load_examples(examples_to_load: Optional[List[str]] = None): + # Examples already loaded in template - just return the client + return module__client + + return _load_examples + + +@pytest.fixture(scope="session") +def session_manager_per_worker(): + """ + Create a unique session manager per pytest-xdist worker. + """ + worker_id = os.environ.get("PYTEST_XDIST_WORKER", "gw0") + db_suffix = f"test_{worker_id}" + + settings = get_settings() + settings.writer_db.uri = settings.writer_db.uri.replace("test", db_suffix) + + manager = DatabaseSessionManager() + manager.init_db() + yield manager + asyncio.run(manager.close()) + + +async def create_default_user(session: AsyncSession) -> User: + """ + A user fixture. + """ + new_user = User( + username="dj", + password="dj", + email="dj@datajunction.io", + name="DJ", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + ) + existing_user = await User.get_by_username(session, new_user.username) + if not existing_user: + session.add(new_user) + await session.commit() + user = new_user + else: + user = existing_user + await session.refresh(user) + return user + + +@pytest_asyncio.fixture +async def default_user(session: AsyncSession): + """ + Create a default user for testing. + """ + user = await create_default_user(session) + yield user + + +@pytest_asyncio.fixture(scope="module") +async def module__client( + request, + module__session: AsyncSession, + module__settings: Settings, + module__query_service_client: QueryServiceClient, + module_mocker: MockerFixture, + jwt_token: str, + module__session_factory: AsyncSession, + module__background_tasks: list[tuple[Callable, tuple, dict]], +) -> AsyncGenerator[AsyncClient, None]: + """ + Create a client for testing APIs. + + NOTE: The database is cloned from a template that already has: + - Default attribute types + - Default catalogs + - Default user + - All examples pre-loaded + So we skip those initialization steps. + """ + # Clear caches to prevent stale database connections (important for CI) + app.dependency_overrides.clear() + get_settings.cache_clear() + get_session_manager.cache_clear() + + use_patch = getattr(request, "param", True) + + # NOTE: Skip these - already in template: + # await default_attribute_types(module__session) + # await seed_default_catalogs(module__session) + # await create_default_user(module__session) + + def get_query_service_client_override( + request: Request = None, + ) -> QueryServiceClient: + return module__query_service_client + + def get_session_override() -> AsyncSession: + return module__session + + def get_settings_override() -> Settings: + return module__settings + + def get_passthrough_auth_service(): + """Override to approve all requests in tests.""" + return PassthroughAuthorizationService() + + module_mocker.patch( + "datajunction_server.api.materializations.get_query_service_client", + get_query_service_client_override, + ) + + app.dependency_overrides[get_session] = get_session_override + app.dependency_overrides[get_settings] = get_settings_override + app.dependency_overrides[get_authorization_service] = get_passthrough_auth_service + app.dependency_overrides[get_query_service_client] = ( + get_query_service_client_override + ) + + async with AsyncClient( + transport=httpx.ASGITransport(app=app), + base_url="http://test", + ) as test_client: + with patch_session_contexts(module__session_factory, use_patch=use_patch): + test_client.headers.update({"Authorization": f"Bearer {jwt_token}"}) + test_client.app = app + + # Wrap the request method to run background tasks after each request + original_request = test_client.request + + async def wrapped_request(method, url, *args, **kwargs): + response = await original_request(method, url, *args, **kwargs) + for func, f_args, f_kwargs in module__background_tasks: + result = func(*f_args, **f_kwargs) + if asyncio.iscoroutine(result): + await result + module__background_tasks.clear() + return response + + test_client.request = wrapped_request + yield test_client + + app.dependency_overrides.clear() + + +@pytest_asyncio.fixture(scope="module") +async def module__session( + module__postgres_container: PostgresContainer, +) -> AsyncGenerator[AsyncSession, None]: + """ + Create a Postgres session to test models. + + NOTE: The database is cloned from a template that already has all tables + and examples loaded, so we skip table creation. + """ + engine = create_async_engine( + url=module__postgres_container.get_connection_url(), + poolclass=NullPool, # Avoids lock binding issues across event loops + ) + # NOTE: Skip table creation - tables already exist from template clone + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + async with async_session_factory() as session: + session.remove = AsyncMock(return_value=None) + yield session + + # NOTE: Skip dropping tables - entire database is dropped by cleanup + + # for AsyncEngine created in function scope, close and + # clean-up pooled connections + await engine.dispose() + + +@pytest_asyncio.fixture(scope="module") +def module__settings( + module_mocker: MockerFixture, + module__postgres_container: PostgresContainer, +) -> Iterator[Settings]: + """ + Custom settings for unit tests. + """ + writer_db = DatabaseConfig(uri=module__postgres_container.get_connection_url()) + reader_db = DatabaseConfig( + uri=module__postgres_container.get_connection_url().replace( + "dj:dj@", + "readonly_user:readonly@", + ), + ) + settings = Settings( + writer_db=writer_db, + reader_db=reader_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + transpilation_plugins=["default"], + ) + + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import ( + SQLTranspilationPlugin, + SQLGlotTranspilationPlugin, + ) + from datajunction_server.internal import seed as seed_module + + register_dialect_plugin("spark", SQLTranspilationPlugin) + register_dialect_plugin("trino", SQLTranspilationPlugin) + register_dialect_plugin("druid", SQLTranspilationPlugin) + register_dialect_plugin("postgres", SQLGlotTranspilationPlugin) + + module_mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + # Also patch the cached settings in seed module + seed_module.settings = settings + + yield settings + + +@pytest_asyncio.fixture(scope="module") +def regular_settings( + module_mocker: MockerFixture, + module__postgres_container: PostgresContainer, +) -> Iterator[Settings]: + """ + Custom settings for unit tests. + """ + writer_db = DatabaseConfig(uri=module__postgres_container.get_connection_url()) + settings = Settings( + writer_db=writer_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + ) + + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import SQLGlotTranspilationPlugin + + register_dialect_plugin("spark", SQLGlotTranspilationPlugin) + register_dialect_plugin("trino", SQLGlotTranspilationPlugin) + register_dialect_plugin("druid", SQLGlotTranspilationPlugin) + + module_mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + + yield settings + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_dimension_link( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with dbt examples + """ + return await module__client_example_loader(["DIMENSION_LINK"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_roads( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with roads examples + """ + return await module__client_example_loader(["ROADS"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_namespaced_roads( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with roads examples + """ + return await module__client_example_loader(["NAMESPACED_ROADS"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_account_revenue( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with account revenue examples + """ + return await module__client_example_loader(["ACCOUNT_REVENUE"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_roads_and_acc_revenue( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with roads examples + """ + return await module__client_example_loader(["ROADS", "ACCOUNT_REVENUE"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_basic( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with account revenue examples + """ + return await module__client_example_loader(["BASIC"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_simple_hll( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a minimal DJ client fixture for HLL/APPROX_COUNT_DISTINCT testing. + """ + return await module__client_example_loader(["SIMPLE_HLL"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_both_basics( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with account revenue examples + """ + return await module__client_example_loader(["BASIC", "BASIC_IN_DIFFERENT_CATALOG"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_examples( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with all examples + """ + return await module__client_example_loader(None) + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_build_v3( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a module-scoped DJ client fixture with BUILD_V3 examples. + This is the comprehensive test model for V3 SQL generation, including: + - Multi-hop dimension traversal with roles + - Dimension hierarchies (date, location) + - Cross-fact derived metrics (orders + page_views) + - Period-over-period metrics (window functions) + - Multiple aggregability levels + """ + return await module__client_example_loader(["BUILD_V3"]) + + +@pytest_asyncio.fixture(scope="module") +async def module__clean_client( + request, + postgres_container: PostgresContainer, + module_mocker: MockerFixture, + module__background_tasks, +) -> AsyncGenerator[AsyncClient, None]: + """ + Module-scoped client with a CLEAN database (no pre-loaded examples). + + Use this for test modules that need full control over their data state, + such as dimension_links tests that use COMPLEX_DIMENSION_LINK data + which conflicts with the template database. + """ + # Create a unique database for this module + module_name = request.module.__name__ + dbname = f"test_mod_clean_{abs(hash(module_name)) % 10000000}" + db_url = create_database_for_module(postgres_container, dbname) + + # Create settings for this clean database + writer_db = DatabaseConfig(uri=db_url) + reader_db = DatabaseConfig( + uri=db_url.replace("dj:dj@", "readonly_user:readonly@"), + ) + settings = Settings( + writer_db=writer_db, + reader_db=reader_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + transpilation_plugins=["default"], + ) + + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import SQLTranspilationPlugin + + register_dialect_plugin("spark", SQLTranspilationPlugin) + register_dialect_plugin("trino", SQLTranspilationPlugin) + register_dialect_plugin("druid", SQLTranspilationPlugin) + + module_mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + + # Create engine and session + engine = create_async_engine( + url=db_url, + poolclass=NullPool, # Avoids lock binding issues across event loops + ) + + # Create tables in the clean database + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm;")) + await conn.run_sync(Base.metadata.create_all) + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + + async with async_session_factory() as session: + session.remove = AsyncMock(return_value=None) + + # Initialize the empty database with required seed data + from datajunction_server.api.attributes import default_attribute_types + from datajunction_server.internal.seed import seed_default_catalogs + + await default_attribute_types(session) + await seed_default_catalogs(session) + await create_default_user(session) + await session.commit() + + def get_session_override() -> AsyncSession: + return session + + def get_settings_override() -> Settings: + return settings + + def get_passthrough_auth_service(): + """Override to approve all requests in tests.""" + return PassthroughAuthorizationService() + + app.dependency_overrides[get_session] = get_session_override + app.dependency_overrides[get_settings] = get_settings_override + app.dependency_overrides[get_authorization_service] = ( + get_passthrough_auth_service + ) + + # Create JWT token + jwt_token = create_token( + {"username": "dj"}, + secret="a-fake-secretkey", + iss="http://localhost:8000/", + expires_delta=timedelta(hours=24), + ) + + async with AsyncClient( + transport=httpx.ASGITransport(app=app), + base_url="http://test", + ) as test_client: + test_client.headers.update({"Authorization": f"Bearer {jwt_token}"}) + test_client.app = app + + # Wrap the request method to run background tasks after each request + original_request = test_client.request + + async def wrapped_request(method, url, *args, **kwargs): + response = await original_request(method, url, *args, **kwargs) + for func, f_args, f_kwargs in module__background_tasks: + result = func(*f_args, **f_kwargs) + if asyncio.iscoroutine(result): + await result + module__background_tasks.clear() + return response + + test_client.request = wrapped_request + yield test_client + + app.dependency_overrides.clear() + + await engine.dispose() + cleanup_database_for_module(postgres_container, dbname) + + +@pytest_asyncio.fixture +async def isolated_client( + request, + postgres_container: PostgresContainer, + mocker: MockerFixture, + background_tasks, +) -> AsyncGenerator[AsyncClient, None]: + """ + Function-scoped client with a CLEAN database (no template, no pre-loaded examples). + + Use this for tests that need complete isolation and will load their own data. + Each test function gets its own fresh database that is cleaned up after. + """ + # Clear any stale overrides and caches from previous tests + app.dependency_overrides.clear() + get_settings.cache_clear() + get_session_manager.cache_clear() # Clear the cached DatabaseSessionManager + + # Create a unique database for this test function + test_name = request.node.name + dbname = f"test_isolated_{abs(hash(test_name)) % 10000000}_{id(request)}" + db_url = create_database_for_module(postgres_container, dbname) + + # Create settings for this clean database + writer_db = DatabaseConfig(uri=db_url) + reader_db = DatabaseConfig( + uri=db_url.replace("dj:dj@", "readonly_user:readonly@"), + ) + settings = Settings( + writer_db=writer_db, + reader_db=reader_db, + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + transpilation_plugins=["default"], + ) + + from datajunction_server.models.dialect import register_dialect_plugin + from datajunction_server.transpilation import SQLTranspilationPlugin + + register_dialect_plugin("spark", SQLTranspilationPlugin) + register_dialect_plugin("trino", SQLTranspilationPlugin) + register_dialect_plugin("druid", SQLTranspilationPlugin) + + mocker.patch( + "datajunction_server.utils.get_settings", + return_value=settings, + ) + + # Create engine and session + engine = create_async_engine( + url=db_url, + poolclass=NullPool, # Avoids lock binding issues across event loops + ) + + # Create tables in the clean database + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm;")) + await conn.run_sync(Base.metadata.create_all) + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + + async with async_session_factory() as session: + session.remove = AsyncMock(return_value=None) + + # Initialize the empty database with required seed data + from datajunction_server.api.attributes import default_attribute_types + from datajunction_server.internal.seed import seed_default_catalogs + + await default_attribute_types(session) + await seed_default_catalogs(session) + await create_default_user(session) + await session.commit() + + def get_session_override() -> AsyncSession: + return session + + def get_settings_override() -> Settings: + return settings + + def get_passthrough_auth_service(): + """Override to approve all requests in tests.""" + return PassthroughAuthorizationService() + + app.dependency_overrides[get_session] = get_session_override + app.dependency_overrides[get_settings] = get_settings_override + app.dependency_overrides[get_authorization_service] = ( + get_passthrough_auth_service + ) + + # Create JWT token + jwt_token = create_token( + {"username": "dj"}, + secret="a-fake-secretkey", + iss="http://localhost:8000/", + expires_delta=timedelta(hours=24), + ) + + async with AsyncClient( + transport=httpx.ASGITransport(app=app), + base_url="http://test", + ) as test_client: + test_client.headers.update({"Authorization": f"Bearer {jwt_token}"}) + test_client.app = app + + # Wrap the request method to run background tasks after each request + original_request = test_client.request + + async def wrapped_request(method, url, *args, **kwargs): + response = await original_request(method, url, *args, **kwargs) + for func, f_args, f_kwargs in background_tasks: + result = func(*f_args, **f_kwargs) + if asyncio.iscoroutine(result): + await result + background_tasks.clear() + return response + + test_client.request = wrapped_request + yield test_client + + app.dependency_overrides.clear() + + await engine.dispose() + cleanup_database_for_module(postgres_container, dbname) + + +def create_readonly_user(postgres: PostgresContainer): + """ + Create a read-only user in the Postgres container. + """ + url = urlparse(postgres.get_connection_url()) + with connect( + host=url.hostname, + port=url.port, + dbname=url.path.lstrip("/"), + user=url.username, + password=url.password, + autocommit=True, + ) as conn: + # Create read-only user + conn.execute("DROP ROLE IF EXISTS readonly_user") + conn.execute("CREATE ROLE readonly_user WITH LOGIN PASSWORD 'readonly'") + + # Create dj if it doesn't exist + with conn.cursor() as cur: + cur.execute("SELECT 1 FROM pg_database WHERE datname = 'dj'") + if not cur.fetchone(): + cur.execute("CREATE DATABASE dj") + + # Grant permissions to readonly_user + conn.execute("GRANT CONNECT ON DATABASE dj TO readonly_user") + conn.execute("GRANT USAGE ON SCHEMA public TO readonly_user") + conn.execute("GRANT SELECT ON ALL TABLES IN SCHEMA public TO readonly_user") + conn.execute( + "ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO readonly_user", + ) + + +def create_database_for_module(postgres: PostgresContainer, dbname: str) -> str: + """ + Create a new database within the shared postgres container for module isolation. + Returns the connection URL for the new database. + """ + url = urlparse(postgres.get_connection_url()) + + with connect( + host=url.hostname, + port=url.port, + dbname=url.path.lstrip("/"), + user=url.username, + password=url.password, + autocommit=True, + ) as conn: + conn.execute( + f""" + SELECT pg_terminate_backend(pg_stat_activity.pid) + FROM pg_stat_activity + WHERE pg_stat_activity.datname = '{dbname}' + AND pid <> pg_backend_pid() + """, + ) + conn.execute(f'DROP DATABASE IF EXISTS "{dbname}"') + conn.execute(f'CREATE DATABASE "{dbname}"') + conn.execute(f'GRANT CONNECT ON DATABASE "{dbname}" TO readonly_user') + + with connect( + host=url.hostname, + port=url.port, + dbname=dbname, + user=url.username, + password=url.password, + autocommit=True, + ) as conn: + conn.execute("GRANT USAGE ON SCHEMA public TO readonly_user") + conn.execute("GRANT SELECT ON ALL TABLES IN SCHEMA public TO readonly_user") + conn.execute( + "ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO readonly_user", + ) + + base_url = postgres.get_connection_url() + return base_url.rsplit("/", 1)[0] + f"/{dbname}" + + +def cleanup_database_for_module(postgres: PostgresContainer, dbname: str) -> None: + """Drop the database after module tests are complete.""" + url = urlparse(postgres.get_connection_url()) + with connect( + host=url.hostname, + port=url.port, + dbname=url.path.lstrip("/"), + user=url.username, + password=url.password, + autocommit=True, + ) as conn: + conn.execute( + f""" + SELECT pg_terminate_backend(pg_stat_activity.pid) + FROM pg_stat_activity + WHERE pg_stat_activity.datname = '{dbname}' + AND pid <> pg_backend_pid() + """, + ) + conn.execute(f'DROP DATABASE IF EXISTS "{dbname}"') + + +def clone_database_from_template( + postgres: PostgresContainer, + template_name: str, + target_name: str, +) -> str: + """ + Clone a database from a template. This is MUCH faster than creating + an empty database and loading data via HTTP (~100ms vs ~30-60s). + """ + url = urlparse(postgres.get_connection_url()) + + with connect( + host=url.hostname, + port=url.port, + dbname=url.path.lstrip("/"), + user=url.username, + password=url.password, + autocommit=True, + ) as conn: + conn.execute( + f""" + SELECT pg_terminate_backend(pg_stat_activity.pid) + FROM pg_stat_activity + WHERE pg_stat_activity.datname = '{target_name}' + AND pid <> pg_backend_pid() + """, + ) + conn.execute(f'DROP DATABASE IF EXISTS "{target_name}"') + conn.execute( + f""" + SELECT pg_terminate_backend(pg_stat_activity.pid) + FROM pg_stat_activity + WHERE pg_stat_activity.datname = '{template_name}' + AND pid <> pg_backend_pid() + """, + ) + conn.execute(f'CREATE DATABASE "{target_name}" TEMPLATE "{template_name}"') + conn.execute(f'GRANT CONNECT ON DATABASE "{target_name}" TO readonly_user') + + with connect( + host=url.hostname, + port=url.port, + dbname=target_name, + user=url.username, + password=url.password, + autocommit=True, + ) as conn: + conn.execute("GRANT USAGE ON SCHEMA public TO readonly_user") + conn.execute("GRANT SELECT ON ALL TABLES IN SCHEMA public TO readonly_user") + conn.execute( + "ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO readonly_user", + ) + + base_url = postgres.get_connection_url() + return base_url.rsplit("/", 1)[0] + f"/{target_name}" + + +TEMPLATE_DB_NAME = "template_all_examples" + + +def _populate_template_via_subprocess(template_url: str) -> None: + """Run template population in a subprocess.""" + script_path = pathlib.Path(__file__).parent / "helpers" / "populate_template.py" + # Ensure the subprocess uses the local development version of datajunction_server + project_root = pathlib.Path(__file__).parent.parent + env = os.environ.copy() + # Prepend the local source to PYTHONPATH so it takes precedence over site-packages + env["PYTHONPATH"] = str(project_root) + os.pathsep + env.get("PYTHONPATH", "") + + result = subprocess.run( + [sys.executable, str(script_path), template_url], + capture_output=True, + text=True, + cwd=str(project_root), + env=env, + ) + if result.returncode != 0: + print(f"STDOUT: {result.stdout}") + print(f"STDERR: {result.stderr}") + raise RuntimeError(f"Failed to populate template: {result.stderr}") + print(result.stdout) + + +@pytest.fixture(scope="session") +def template_database(postgres_container: PostgresContainer) -> str: + """ + Session-scoped fixture that creates a template database with ALL examples. + This runs ONCE per test session and then each module clones from it. + """ + template_url = create_database_for_module(postgres_container, TEMPLATE_DB_NAME) + _populate_template_via_subprocess(template_url) + return TEMPLATE_DB_NAME + + +@pytest.fixture(scope="module") +def module__postgres_container( + request, + postgres_container: PostgresContainer, + template_database: str, +) -> PostgresContainer: + """ + Provides module-level database isolation by CLONING from the template. + Each module gets its own database cloned from the template with all examples. + """ + path = pathlib.Path(request.module.__file__).resolve() + dbname = f"test_mod_{abs(hash(path)) % 10000000}" + + module_db_url = clone_database_from_template( + postgres_container, + template_name=template_database, + target_name=dbname, + ) + + class ModulePostgresContainer: + def __init__(self, container: PostgresContainer, db_url: str): + self._container = container + self._db_url = db_url + + def get_connection_url(self) -> str: + return self._db_url + + def __getattr__(self, name): + return getattr(self._container, name) + + wrapper = ModulePostgresContainer(postgres_container, module_db_url) + yield wrapper # type: ignore + + cleanup_database_for_module(postgres_container, dbname) + + +@pytest.fixture(scope="module") +def module__query_service_client( + module_mocker: MockerFixture, + duckdb_conn: duckdb.DuckDBPyConnection, +) -> Iterator[QueryServiceClient]: + """ + Custom settings for unit tests. + """ + qs_client = QueryServiceClient(uri="query_service:8001") + + def mock_get_columns_for_table( + catalog: str, + schema: str, + table: str, + engine: Optional[Engine] = None, + request_headers: Optional[Dict[str, str]] = None, + ) -> List[Column]: + return COLUMN_MAPPINGS[f"{catalog}.{schema}.{table}"] + + module_mocker.patch.object( + qs_client, + "get_columns_for_table", + mock_get_columns_for_table, + ) + + def mock_submit_query( + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + # Transpile from Spark to DuckDB before executing + transpiled_sql = transpile_to_duckdb(query_create.submitted_query) + result = duckdb_conn.sql(transpiled_sql) + columns = [ + { + "name": col, + "type": str(type_).lower(), + "semantic_name": col, # Use column name as semantic name + "semantic_type": "dimension", # Default to dimension + } + for col, type_ in zip(result.columns, result.types) + ] + rows = result.fetchall() + print( + f"\n=== QUERY RESULT ===\nColumns: {columns}\nRows: {rows}\n=== END ===\n", + ) + return QueryWithResults( + id="bd98d6be-e2d2-413e-94c7-96d9411ddee2", + submitted_query=query_create.submitted_query, + state=QueryState.FINISHED, + results=[ + { + "columns": columns, + "rows": rows, + "sql": query_create.submitted_query, + }, + ], + errors=[], + ) + + module_mocker.patch.object( + qs_client, + "submit_query", + mock_submit_query, + ) + + def mock_create_view( + view_name: str, + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> str: + # Transpile from Spark to DuckDB before executing + transpiled_sql = transpile_to_duckdb(query_create.submitted_query) + duckdb_conn.sql(transpiled_sql) + return f"View {view_name} created successfully." + + module_mocker.patch.object( + qs_client, + "create_view", + mock_create_view, + ) + + def mock_get_query( + query_id: str, + request_headers: Optional[Dict[str, str]] = None, + ) -> Collection[Collection[str]]: + if query_id == "foo-bar-baz": + raise DJQueryServiceClientEntityNotFound("Query foo-bar-baz not found.") + for _, response in QUERY_DATA_MAPPINGS.items(): + if response.id == query_id: + return response + raise RuntimeError(f"No mocked query exists for id {query_id}") + + module_mocker.patch.object( + qs_client, + "get_query", + mock_get_query, + ) + + mock_materialize = MagicMock() + mock_materialize.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + module_mocker.patch.object( + qs_client, + "materialize", + mock_materialize, + ) + + mock_materialize_cube = MagicMock() + mock_materialize_cube.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + module_mocker.patch.object( + qs_client, + "materialize_cube", + mock_materialize_cube, + ) + + mock_deactivate_materialization = MagicMock() + mock_deactivate_materialization.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=[], + ) + module_mocker.patch.object( + qs_client, + "deactivate_materialization", + mock_deactivate_materialization, + ) + + mock_get_materialization_info = MagicMock() + mock_get_materialization_info.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + module_mocker.patch.object( + qs_client, + "get_materialization_info", + mock_get_materialization_info, + ) + + mock_run_backfill = MagicMock() + mock_run_backfill.return_value = MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=[], + ) + module_mocker.patch.object( + qs_client, + "run_backfill", + mock_run_backfill, + ) + yield qs_client + + +@pytest_asyncio.fixture(scope="module") +async def module__client_with_all_examples( + module__client_example_loader: Callable[[Optional[List[str]]], AsyncClient], +) -> AsyncClient: + """ + Provides a DJ client fixture with all examples + """ + return await module__client_example_loader(None) + + +@pytest_asyncio.fixture +async def current_user(session: AsyncSession) -> User: + """ + A user fixture. + """ + + new_user = User( + username="dj", + password="dj", + email="dj@datajunction.io", + name="DJ", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + ) + existing_user = await User.get_by_username(session, new_user.username) + if not existing_user: + session.add(new_user) + await session.commit() + user = new_user + else: + user = existing_user + return user + + +@pytest_asyncio.fixture +async def clean_current_user(clean_session: AsyncSession) -> User: + """ + A user fixture for clean database tests. + Creates a user in the clean (empty) database. + """ + new_user = User( + username="dj", + password="dj", + email="dj@datajunction.io", + name="DJ", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + ) + clean_session.add(new_user) + await clean_session.commit() + await clean_session.refresh(new_user) + return new_user diff --git a/datajunction-server/tests/construction/__init__.py b/datajunction-server/tests/construction/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/construction/build_test.py b/datajunction-server/tests/construction/build_test.py new file mode 100644 index 000000000..458e1f8e8 --- /dev/null +++ b/datajunction-server/tests/construction/build_test.py @@ -0,0 +1,434 @@ +"""tests for building nodes""" + +from unittest.mock import MagicMock, patch + +import pytest +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +import pytest_asyncio +import datajunction_server.sql.parsing.types as ct +from datajunction_server.construction.build import ( + build_materialized_cube_node, + build_metric_nodes, + build_temp_select, + get_default_criteria, +) +from datajunction_server.construction.build_v2 import QueryBuilder +from datajunction_server.database.attributetype import AttributeType, ColumnAttribute +from datajunction_server.database.column import Column +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.errors import DJException +from datajunction_server.models.engine import Dialect +from datajunction_server.models.node_type import NodeType +from datajunction_server.naming import amenable_name +from datajunction_server.sql.parsing.backends.antlr4 import ast, parse +from datajunction_server.internal.access.authorization.service import ( + AuthorizationService, +) +from datajunction_server.internal.access.authorization.validator import AccessChecker +from datajunction_server.internal.access.authorization.context import AuthContext +from datajunction_server.internal.access.authentication.basic import get_user +from datajunction_server.models.access import AccessDecision + + +class AllowAllAuthorizationService(AuthorizationService): + """ + Custom authorization service that allows all access. + """ + + name = "allow_all" + + def authorize(self, auth_context, requests): + return [AccessDecision(request=request, approved=True) for request in requests] + + +@pytest_asyncio.fixture +async def access_checker( + construction_session: AsyncSession, + default_user: User, + mocker, +) -> AccessChecker: + """ + Fixture to mock access checker to allow all access. + """ + user = await get_user(default_user.username, construction_session) + + def mock_get_allow_all_service(): + return AllowAllAuthorizationService() + + mocker.patch( + "datajunction_server.internal.access.authorization.validator.get_authorization_service", + mock_get_allow_all_service, + ) + return AccessChecker( + await AuthContext.from_user(construction_session, user), + ) + + +@pytest.mark.asyncio +async def test_build_metric_with_dimensions_aggs( + construction_session: AsyncSession, + access_checker: AccessChecker, +): + """ + Test building metric with dimensions + """ + num_comments_mtc: Node = await Node.get_by_name( # type: ignore + construction_session, + "basic.num_comments", + ) + query = await build_metric_nodes( + construction_session, + [num_comments_mtc], + filters=[], + dimensions=["basic.dimension.users.country", "basic.dimension.users.gender"], + orderby=[], + access_checker=access_checker, + ) + expected = """ + WITH basic_DOT_source_DOT_comments AS ( + SELECT + basic_DOT_source_DOT_comments.id, + basic_DOT_source_DOT_comments.user_id, + basic_DOT_source_DOT_comments.timestamp, + basic_DOT_source_DOT_comments.text + FROM basic.source.comments AS basic_DOT_source_DOT_comments + ), + basic_DOT_dimension_DOT_users AS ( + SELECT + basic_DOT_source_DOT_users.id, + basic_DOT_source_DOT_users.full_name, + basic_DOT_source_DOT_users.age, + basic_DOT_source_DOT_users.country, + basic_DOT_source_DOT_users.gender, + basic_DOT_source_DOT_users.preferred_language, + basic_DOT_source_DOT_users.secret_number + FROM basic.source.users AS basic_DOT_source_DOT_users + ), + basic_DOT_source_DOT_comments_metrics AS ( + SELECT + basic_DOT_dimension_DOT_users.country basic_DOT_dimension_DOT_users_DOT_country, + basic_DOT_dimension_DOT_users.gender basic_DOT_dimension_DOT_users_DOT_gender, + COUNT(1) AS basic_DOT_num_comments + FROM basic_DOT_source_DOT_comments + INNER JOIN basic_DOT_dimension_DOT_users + ON basic_DOT_source_DOT_comments.user_id = basic_DOT_dimension_DOT_users.id + GROUP BY + basic_DOT_dimension_DOT_users.country, basic_DOT_dimension_DOT_users.gender + ) + SELECT + basic_DOT_source_DOT_comments_metrics.basic_DOT_dimension_DOT_users_DOT_country, + basic_DOT_source_DOT_comments_metrics.basic_DOT_dimension_DOT_users_DOT_gender, + basic_DOT_source_DOT_comments_metrics.basic_DOT_num_comments + FROM basic_DOT_source_DOT_comments_metrics + """ + assert str(parse(str(query))) == str(parse(str(expected))) + + +@pytest.mark.asyncio +async def test_build_metric_with_required_dimensions( + construction_session: AsyncSession, + access_checker: AccessChecker, +): + """ + Test building metric with bound dimensions + """ + num_comments_mtc: Node = await Node.get_by_name( # type: ignore + construction_session, + "basic.num_comments_bnd", + ) + + query = await build_metric_nodes( + construction_session, + [num_comments_mtc], + filters=[], + dimensions=["basic.dimension.users.country", "basic.dimension.users.gender"], + orderby=[], + access_checker=access_checker, + ) + expected = """ + WITH basic_DOT_source_DOT_comments AS ( + SELECT + basic_DOT_source_DOT_comments.id, + basic_DOT_source_DOT_comments.user_id, + basic_DOT_source_DOT_comments.timestamp, + basic_DOT_source_DOT_comments.text + FROM basic.source.comments AS basic_DOT_source_DOT_comments + ), + basic_DOT_dimension_DOT_users AS ( + SELECT + basic_DOT_source_DOT_users.id, + basic_DOT_source_DOT_users.full_name, + basic_DOT_source_DOT_users.age, + basic_DOT_source_DOT_users.country, + basic_DOT_source_DOT_users.gender, + basic_DOT_source_DOT_users.preferred_language, + basic_DOT_source_DOT_users.secret_number + FROM basic.source.users AS basic_DOT_source_DOT_users + ), + basic_DOT_source_DOT_comments_metrics AS ( + SELECT + basic_DOT_dimension_DOT_users.country basic_DOT_dimension_DOT_users_DOT_country, + basic_DOT_dimension_DOT_users.gender basic_DOT_dimension_DOT_users_DOT_gender, + COUNT(1) AS basic_DOT_num_comments_bnd + FROM basic_DOT_source_DOT_comments + INNER JOIN basic_DOT_dimension_DOT_users + ON basic_DOT_source_DOT_comments.user_id = basic_DOT_dimension_DOT_users.id + GROUP BY basic_DOT_dimension_DOT_users.country, basic_DOT_dimension_DOT_users.gender + ) + SELECT + basic_DOT_source_DOT_comments_metrics.basic_DOT_dimension_DOT_users_DOT_country, + basic_DOT_source_DOT_comments_metrics.basic_DOT_dimension_DOT_users_DOT_gender, + basic_DOT_source_DOT_comments_metrics.basic_DOT_num_comments_bnd + FROM basic_DOT_source_DOT_comments_metrics + """ + assert str(parse(str(query))) == str(parse(str(expected))) + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="Shouldn't be needed with complex dim links") +async def test_raise_on_build_without_required_dimension_column( + construction_session: AsyncSession, + current_user: User, +): + """ + Test building a node that has a dimension reference without a column and a compound PK + """ + primary_key: AttributeType = next( + await construction_session.execute( + select(AttributeType).filter(AttributeType.name == "primary_key"), + ), + )[0] + countries_dim_ref = Node( + name="basic.dimension.compound_countries", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + NodeRevision( + name=countries_dim_ref.name, + type=countries_dim_ref.type, + node=countries_dim_ref, + version="1", + query=""" + SELECT country, + 'abcd' AS country_id2, + COUNT(1) AS user_cnt + FROM basic.dimension.users + GROUP BY country + """, + columns=[ + Column( + name="country", + type=ct.StringType(), + attributes=[ColumnAttribute(attribute_type=primary_key)], + order=0, + ), + Column( + name="country_id2", + type=ct.StringType(), + attributes=[ColumnAttribute(attribute_type=primary_key)], + order=1, + ), + Column(name="user_cnt", type=ct.IntegerType(), order=2), + ], + created_by_id=current_user.id, + ) + node_foo_ref = Node( + name="basic.foo", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + node_foo = NodeRevision( + name=node_foo_ref.name, + type=node_foo_ref.type, + node=node_foo_ref, + version="1", + query="""SELECT num_users, 'abcd' AS country_id FROM basic.transform.country_agg""", + columns=[ + Column( + name="num_users", + type=ct.IntegerType(), + order=0, + ), + Column( + name="country_id", + type=ct.StringType(), + dimension=countries_dim_ref, + order=1, + ), + ], + created_by_id=current_user.id, + ) + construction_session.add(node_foo) + + node_bar_ref = Node( + name="basic.bar", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + node_bar = NodeRevision( + name=node_bar_ref.name, + type=node_bar_ref.type, + node=node_bar_ref, + version="1", + query="SELECT SUM(num_users) AS num_users " + "FROM basic.foo GROUP BY basic.dimension.compound_countries.country", + columns=[ + Column(name="num_users", type=ct.IntegerType(), order=0), + ], + created_by_id=current_user.id, + ) + construction_session.add(node_bar) + await construction_session.commit() + with pytest.raises(DJException): + query_builder = await QueryBuilder.create(construction_session, node_bar) + ( + query_builder.add_dimension( + "basic.dimension.compound_countries.country_id2", + ).build() + ) + + +@pytest.mark.asyncio +async def test_build_metric_with_dimensions_filters( + construction_session: AsyncSession, + access_checker: AccessChecker, +): + """ + Test building metric with dimension filters + """ + num_comments_mtc: Node = await Node.get_by_name( # type: ignore + construction_session, + "basic.num_comments", + ) + query = await build_metric_nodes( + construction_session, + [num_comments_mtc], + filters=[ + "basic.dimension.users.age>=25", + "basic.dimension.users.age<50", + ], + dimensions=[], + orderby=[], + access_checker=access_checker, + ) + expected = """ + WITH basic_DOT_source_DOT_comments AS ( + SELECT + basic_DOT_source_DOT_comments.id, + basic_DOT_source_DOT_comments.user_id, + basic_DOT_source_DOT_comments.timestamp, + basic_DOT_source_DOT_comments.text + FROM basic.source.comments AS basic_DOT_source_DOT_comments + ), + basic_DOT_dimension_DOT_users AS ( + SELECT basic_DOT_source_DOT_users.id, + basic_DOT_source_DOT_users.full_name, + basic_DOT_source_DOT_users.age, + basic_DOT_source_DOT_users.country, + basic_DOT_source_DOT_users.gender, + basic_DOT_source_DOT_users.preferred_language, + basic_DOT_source_DOT_users.secret_number + FROM basic.source.users AS basic_DOT_source_DOT_users + WHERE basic_DOT_source_DOT_users.age >= 25 AND basic_DOT_source_DOT_users.age < 50 + ), + basic_DOT_source_DOT_comments_metrics AS ( + SELECT + COUNT(1) AS basic_DOT_num_comments + FROM basic_DOT_source_DOT_comments + INNER JOIN basic_DOT_dimension_DOT_users + ON basic_DOT_source_DOT_comments.user_id = basic_DOT_dimension_DOT_users.id + WHERE basic_DOT_dimension_DOT_users.age >= 25 AND basic_DOT_dimension_DOT_users.age < 50 + ) + SELECT basic_DOT_source_DOT_comments_metrics.basic_DOT_num_comments + FROM basic_DOT_source_DOT_comments_metrics + """ + assert str(parse(str(query))) == str(parse(expected)) + + +def test_amenable_name(): + """testing for making an amenable name""" + assert amenable_name("hello.名") == "hello_DOT__UNK" + + +def test_get_default_criteria(): + """Test getting default criteria for a node revision""" + result = get_default_criteria(node=NodeRevision(type=NodeType.TRANSFORM)) + assert result.dialect == Dialect.SPARK + assert result.target_node_name is None + + +@patch("datajunction_server.construction.build.parse") +def test_build_temp_select(mock_parse): + """Test building a temporary select statement""" + mock_columns = [MagicMock(name="foo"), MagicMock(name="bar")] + mock_select = MagicMock(find_all=MagicMock(return_value=mock_columns)) + mock_parse().select = mock_select + test_select = build_temp_select(temp_query="SELECT * FROM foo") + assert test_select == mock_select + + +def test_build_materialized_cube_node(): + """Test building a materialized cube node""" + result = build_materialized_cube_node( + selected_metrics=[], + selected_dimensions=[MagicMock(name="dim1"), MagicMock(name="dim2")], + cube=NodeRevision( + name="foo", + type=NodeType.CUBE, + query="SELECT * FROM foo", + columns=[], + version="1", + materializations=[MagicMock(config={})], + availability=MagicMock(table=MagicMock(name="foo")), + ), + filters=["filter1", "filter2"], + orderby=["order1", "order2"], + limit=10, + ) + assert result == ast.Query( + name=ast.DefaultName(name="", quote_style="", namespace=None), + alias=None, + as_=None, + semantic_entity=None, + semantic_type=None, + column_list=[], + _columns=[], + select=ast.Select( + alias=None, + as_=None, + semantic_entity=None, + semantic_type=None, + quantifier="", + projection=[], + from_=ast.From( + relations=[ + ast.Relation( + primary=ast.Table( + name=ast.Name(name="foo", quote_style="", namespace=None), + alias=None, + as_=None, + semantic_entity=None, + semantic_type=None, + column_list=[], + _columns=[], + ), + extensions=[], + ), + ], + ), + group_by=[], + having=None, + where=None, + lateral_views=[], + set_op=None, + limit=None, + organization=None, + hints=None, + ), + ctes=[], + ) diff --git a/datajunction-server/tests/construction/build_v2_nested_scope_test.py b/datajunction-server/tests/construction/build_v2_nested_scope_test.py new file mode 100644 index 000000000..849203ee4 --- /dev/null +++ b/datajunction-server/tests/construction/build_v2_nested_scope_test.py @@ -0,0 +1,325 @@ +""" +Tests for build_v2 column scoping in nested subqueries. + +This tests a specific bug where column references in nested subqueries +incorrectly get qualified with table aliases from outer scopes. + +The bug occurs when: +1. A transform has nested subqueries (inner SELECT inside FROM) +2. The outer query has a LEFT JOIN with a table alias +3. Columns in the inner subquery get incorrectly qualified with the outer table alias + +For example, this transform: + SELECT + videos.video_id, -- outer scope, references 'videos' from LEFT JOIN + ... + FROM ( + SELECT video_id, ... -- inner scope, should be unqualified + FROM source_table + ) + LEFT JOIN valid_video_ids AS videos ON ... + +Should NOT have the inner `video_id` become `videos.video_id`. +""" + +import pytest +from httpx import AsyncClient + +from datajunction_server.sql.parsing.backends.antlr4 import parse + + +class TestNestedSubqueryColumnScoping: + """Tests for column scoping in nested subqueries.""" + + @pytest.mark.asyncio + async def test_nested_subquery_with_left_join_column_scoping( + self, + module__client_with_build_v3: AsyncClient, + ): + """ + Test that columns in nested subqueries are not incorrectly qualified + with table aliases from outer scopes. + + This reproduces a bug where: + - A transform has a nested subquery structure + - The outer query has a LEFT JOIN with an alias (e.g., 'videos') + - Columns in the inner subquery incorrectly get qualified with 'videos.' + """ + client = module__client_with_build_v3 + + # Create a source node for valid IDs (will be LEFT JOINed) + valid_ids_response = await client.post( + "/nodes/source/", + json={ + "name": "v3.valid_product_ids", + "description": "Valid product IDs for validation", + "columns": [ + {"name": "product_id", "type": "int"}, + {"name": "is_active", "type": "boolean"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "v3", + "table": "valid_product_ids", + }, + ) + assert valid_ids_response.status_code in (200, 201, 409), ( + valid_ids_response.json() + ) + + # Create a transform with nested subquery and LEFT JOIN + # The key pattern is: + # - Inner subquery selects product_id (from source) + # - Outer query LEFT JOINs to valid_product_ids AS products + # - Outer query references products.product_id + transform_response = await client.post( + "/nodes/transform/", + json={ + "name": "v3.nested_subquery_transform", + "description": "Transform with nested subquery and LEFT JOIN", + "query": """ + SELECT + inner_data.order_id, + inner_data.product_id, + inner_data.quantity, + inner_data.computed_value, + products.product_id AS valid_product_id, + products.is_active, + products.product_id IS NOT NULL AS is_valid_product + FROM ( + SELECT + order_id, + product_id, + quantity, + quantity * 10 AS computed_value + FROM v3.src_order_items + ) AS inner_data + LEFT JOIN v3.valid_product_ids AS products + ON inner_data.product_id = products.product_id + """, + "mode": "published", + }, + ) + assert transform_response.status_code in (200, 201), transform_response.json() + + # Create a metric on the transform + metric_response = await client.post( + "/nodes/metric/", + json={ + "name": "v3.nested_transform_quantity", + "description": "Total quantity from nested transform", + "query": "SELECT SUM(quantity) FROM v3.nested_subquery_transform", + "mode": "published", + }, + ) + assert metric_response.status_code in (200, 201), metric_response.json() + + # Get SQL for the metric - this triggers the build_v2 flow + sql_response = await client.get( + "/sql/v3.nested_transform_quantity", + ) + assert sql_response.status_code == 200, sql_response.json() + + sql = sql_response.json()["sql"] + + # The SQL should be parseable without errors + # If the bug exists, the SQL will have invalid column references + # like 'products.product_id' in the inner subquery where 'products' isn't in scope + try: + parsed = parse(sql) + # If we get here, the SQL is at least syntactically valid + assert parsed is not None + except Exception as e: + pytest.fail(f"Generated SQL is not parseable: {e}\n\nSQL:\n{sql}") + + # Additional check: the inner subquery should NOT reference 'products' + # Look for the pattern that indicates the bug: + # The inner SELECT (inside FROM) should not have 'products.' prefix + # + # We'll check this by looking for 'products.product_id' or 'products.quantity' + # appearing before the LEFT JOIN clause + sql_upper = sql.upper() + left_join_pos = sql_upper.find("LEFT JOIN") + + if left_join_pos > 0: + # Get the SQL before the LEFT JOIN + before_join = sql[:left_join_pos] + + # Check if 'products.' appears in the inner subquery context + # We need to be careful here - 'products' is a valid reference AFTER the JOIN + # The bug would cause 'products.' to appear INSIDE the inner SELECT + # + # Look for the inner SELECT pattern + inner_select_start = before_join.upper().rfind("SELECT") + if inner_select_start > 0: + inner_select_section = before_join[inner_select_start:] + # This should not contain 'products.' since products isn't defined yet + assert "products." not in inner_select_section.lower(), ( + f"Bug detected: 'products.' reference found in inner subquery " + f"where 'products' alias is not in scope.\n\n" + f"Inner SELECT section:\n{inner_select_section}\n\n" + f"Full SQL:\n{sql}" + ) + + @pytest.mark.asyncio + async def test_deeply_nested_subquery_column_scoping( + self, + module__client_with_build_v3: AsyncClient, + ): + """ + Test that columns in deeply nested subqueries (multiple levels) + are not incorrectly qualified with table aliases from outer scopes. + """ + client = module__client_with_build_v3 + + # Create a transform with multiple levels of nesting + transform_response = await client.post( + "/nodes/transform/", + json={ + "name": "v3.deeply_nested_transform", + "description": "Transform with deeply nested subqueries", + "query": """ + SELECT + level1.order_id, + level1.product_id, + level1.total_quantity, + products.product_id AS validated_product_id + FROM ( + SELECT + level2.order_id, + level2.product_id, + SUM(level2.quantity) AS total_quantity + FROM ( + SELECT + order_id, + product_id, + quantity + FROM v3.src_order_items + ) AS level2 + GROUP BY level2.order_id, level2.product_id + ) AS level1 + LEFT JOIN v3.valid_product_ids AS products + ON level1.product_id = products.product_id + """, + "mode": "published", + }, + ) + assert transform_response.status_code in (200, 201), transform_response.json() + + # Create a metric on the deeply nested transform + metric_response = await client.post( + "/nodes/metric/", + json={ + "name": "v3.deeply_nested_quantity", + "description": "Total quantity from deeply nested transform", + "query": "SELECT SUM(total_quantity) FROM v3.deeply_nested_transform", + "mode": "published", + }, + ) + assert metric_response.status_code in (200, 201), metric_response.json() + + # Get SQL for the metric + sql_response = await client.get( + "/sql/v3.deeply_nested_quantity", + ) + assert sql_response.status_code == 200, sql_response.json() + + sql = sql_response.json()["sql"] + + # The SQL should be parseable without errors + try: + parsed = parse(sql) + assert parsed is not None + except Exception as e: + pytest.fail(f"Generated SQL is not parseable: {e}\n\nSQL:\n{sql}") + + @pytest.mark.asyncio + async def test_multiple_left_joins_column_scoping( + self, + module__client_with_build_v3: AsyncClient, + ): + """ + Test that columns are correctly scoped when there are multiple LEFT JOINs + with different aliases. + """ + client = module__client_with_build_v3 + + # Create additional source node for customers + # (v3.src_customers already exists in BUILD_V3) + + # Create a transform with multiple LEFT JOINs + transform_response = await client.post( + "/nodes/transform/", + json={ + "name": "v3.multi_join_transform", + "description": "Transform with multiple LEFT JOINs", + "query": """ + SELECT + inner_data.order_id, + inner_data.customer_id, + inner_data.product_id, + customers.name AS customer_name, + products.is_active AS product_is_active + FROM ( + SELECT + o.order_id, + o.customer_id, + oi.product_id + FROM v3.src_orders o + JOIN v3.src_order_items oi ON o.order_id = oi.order_id + ) AS inner_data + LEFT JOIN v3.src_customers AS customers + ON inner_data.customer_id = customers.customer_id + LEFT JOIN v3.valid_product_ids AS products + ON inner_data.product_id = products.product_id + """, + "mode": "published", + }, + ) + assert transform_response.status_code in (200, 201), transform_response.json() + + # Create a metric + metric_response = await client.post( + "/nodes/metric/", + json={ + "name": "v3.multi_join_count", + "description": "Count from multi-join transform", + "query": "SELECT COUNT(*) FROM v3.multi_join_transform", + "mode": "published", + }, + ) + assert metric_response.status_code in (200, 201), metric_response.json() + + # Get SQL + sql_response = await client.get( + "/sql/v3.multi_join_count", + ) + assert sql_response.status_code == 200, sql_response.json() + + sql = sql_response.json()["sql"] + + # Verify the SQL is parseable + try: + parsed = parse(sql) + assert parsed is not None + except Exception as e: + pytest.fail(f"Generated SQL is not parseable: {e}\n\nSQL:\n{sql}") + + # Check that table aliases from outer JOINs don't appear in inner subquery + sql_lower = sql.lower() + + # Find the innermost subquery (before the first LEFT JOIN) + first_left_join = sql_lower.find("left join") + if first_left_join > 0: + before_joins = sql[:first_left_join] + # Look for the inner SELECT + inner_selects = before_joins.lower().split("select") + if len(inner_selects) > 1: + # Check the innermost SELECT doesn't reference outer aliases + innermost = inner_selects[-1] + assert "customers." not in innermost, ( + f"Bug: 'customers.' found in inner subquery\n{sql}" + ) + assert "products." not in innermost, ( + f"Bug: 'products.' found in inner subquery\n{sql}" + ) diff --git a/datajunction-server/tests/construction/build_v2_test.py b/datajunction-server/tests/construction/build_v2_test.py new file mode 100644 index 000000000..bdb6eb9dc --- /dev/null +++ b/datajunction-server/tests/construction/build_v2_test.py @@ -0,0 +1,1936 @@ +"""Tests for building nodes""" + +from typing import List, Tuple + +import pytest +import pytest_asyncio +from sqlalchemy.ext.asyncio import AsyncSession + +import datajunction_server.sql.parsing.types as ct +from datajunction_server.construction.build_v2 import ( + QueryBuilder, + combine_filter_conditions, + dimension_join_path, + resolve_metric_component_against_parent, +) +from datajunction_server.database.attributetype import AttributeType, ColumnAttribute +from datajunction_server.database.column import Column +from datajunction_server.database.dimensionlink import DimensionLink, JoinType +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.errors import ( + DJQueryBuildError, + DJQueryBuildException, + ErrorCode, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse + +from datajunction_server.models.cube_materialization import ( + AggregationRule, + MetricComponent, + Aggregability, +) + + +async def create_source( + session: AsyncSession, + name: str, + display_name: str, + schema_: str, + table: str, + columns: List[Column], + current_user: User, + query: str = None, +) -> Tuple[Node, NodeRevision]: + """Create source node.""" + source_node = Node( + name=name, + display_name=display_name, + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source_node_revision = NodeRevision( + node=source_node, + name=name, + display_name=display_name, + type=NodeType.SOURCE, + version="1", + query=query, + schema_=schema_, + table=table, + columns=columns, + created_by_id=current_user.id, + ) + session.add(source_node_revision) + await session.commit() + await session.refresh(source_node, ["current"]) + return source_node, source_node_revision + + +async def create_node_with_query( + session: AsyncSession, + name: str, + display_name: str, + node_type: NodeType, + query: str, + columns: List[Column], + current_user: User, +) -> Tuple[Node, NodeRevision]: + """Create node with query.""" + node = Node( + name=name, + display_name=display_name, + type=node_type, + current_version="1", + created_by_id=current_user.id, + ) + node_revision = NodeRevision( + node=node, + name=name, + display_name=display_name, + type=node_type, + version="1", + query=query, + columns=columns, + created_by_id=current_user.id, + ) + session.add(node_revision) + await session.commit() + await session.refresh(node, ["current"]) + return node, node_revision + + +@pytest_asyncio.fixture +async def primary_key_attribute(clean_session: AsyncSession) -> AttributeType: + """ + Primary key attribute entry. + NOTE: Uses clean_session because this test file creates its own database objects. + """ + attribute_type = AttributeType( + namespace="system", + name="primary_key", + description="Points to a column which is part of the primary key of the node", + uniqueness_scope=[], + allowed_node_types=[ + NodeType.SOURCE, + NodeType.TRANSFORM, + NodeType.DIMENSION, + ], + ) + clean_session.add(attribute_type) + await clean_session.commit() + await clean_session.refresh(attribute_type) + return attribute_type + + +@pytest_asyncio.fixture +async def events(clean_session: AsyncSession, clean_current_user: User) -> Node: + """ + Events source node + """ + session = clean_session + current_user = clean_current_user + events_node, _ = await create_source( + session, + name="source.events", + display_name="Events", + schema_="test", + table="events", + columns=[ + Column(name="event_id", type=ct.BigIntType(), order=0), + Column(name="user_id", type=ct.BigIntType(), order=1), + Column(name="device_id", type=ct.BigIntType(), order=2), + Column(name="country_code", type=ct.StringType(), order=3), + Column(name="latency", type=ct.BigIntType(), order=3), + Column(name="utc_date", type=ct.BigIntType(), order=4), + ], + current_user=current_user, + query=( + "SELECT event_id, user_id, device_id, country_code, " + "latency, utc_date FROM test.events" + ), + ) + + return events_node + + +@pytest_asyncio.fixture +async def date_dim( + clean_session: AsyncSession, + primary_key_attribute, + clean_current_user: User, +) -> Node: + """ + Date dimension node + """ + session = clean_session + current_user = clean_current_user + date_node, _ = await create_node_with_query( + session, + name="shared.date", + display_name="Date", + node_type=NodeType.DIMENSION, + query="SELECT 1, 2, 3, 4 AS dateint", + columns=[ + Column( + name="dateint", + type=ct.BigIntType(), + order=0, + attributes=[ColumnAttribute(attribute_type=primary_key_attribute)], + ), + ], + current_user=current_user, + ) + return date_node + + +@pytest_asyncio.fixture +async def events_agg(clean_session: AsyncSession, clean_current_user: User) -> Node: + """ + Events aggregation transform node + """ + session = clean_session + current_user = clean_current_user + events_agg_node, _ = await create_node_with_query( + session, + name="agg.events", + display_name="Events Aggregated", + node_type=NodeType.TRANSFORM, + query=""" + SELECT + user_id, + utc_date, + device_id, + country_code, + SUM(latency) AS total_latency + FROM source.events + GROUP BY user_id, utc_date. device_id, country_code + """, + columns=[ + Column(name="user_id", type=ct.BigIntType(), order=1), + Column(name="utc_date", type=ct.BigIntType(), order=2), + Column(name="device_id", type=ct.BigIntType(), order=3), + Column(name="country_code", type=ct.StringType(), order=4), + Column(name="total_latency", type=ct.BigIntType(), order=5), + ], + current_user=current_user, + ) + return events_agg_node + + +@pytest_asyncio.fixture +async def events_agg_complex( + clean_session: AsyncSession, + clean_current_user: User, +) -> Node: + """ + Events aggregation transform node with CTEs + """ + session = clean_session + current_user = clean_current_user + events_agg_node, _ = await create_node_with_query( + session, + name="agg.events_complex", + display_name="Events Aggregated (Unnecessarily Complex)", + node_type=NodeType.TRANSFORM, + query=""" + WITH complexity AS ( + SELECT + user_id, + utc_date, + device_id, + country_code, + SUM(latency) AS total_latency + FROM source.events + GROUP BY user_id, utc_date, device_id, country_code + ) + SELECT + CAST(user_id AS BIGINT) user_id, + CAST(utc_date AS BIGINT) utc_date, + CAST(device_id AS BIGINT) device_id, + CAST(country_code AS STR) country_code, + CAST(total_latency AS BIGINT) total_latency + FROM complexity + """, + columns=[ + Column(name="user_id", type=ct.BigIntType(), order=1), + Column(name="utc_date", type=ct.BigIntType(), order=2), + Column(name="device_id", type=ct.BigIntType(), order=3), + Column(name="country_code", type=ct.StringType(), order=4), + Column(name="total_latency", type=ct.BigIntType(), order=5), + ], + current_user=current_user, + ) + return events_agg_node + + +@pytest_asyncio.fixture +async def devices( + clean_session: AsyncSession, + primary_key_attribute: AttributeType, + clean_current_user: User, +) -> Node: + """ + Devices source node + devices dimension node + """ + session = clean_session + current_user = clean_current_user + await create_source( + session, + name="source.devices", + display_name="Devices", + schema_="test", + table="devices", + columns=[ + Column(name="device_id", type=ct.BigIntType(), order=0), + Column(name="device_name", type=ct.BigIntType(), order=1), + Column(name="device_manufacturer", type=ct.StringType(), order=2), + ], + current_user=current_user, + query="SELECT device_id, device_name, device_manufacturer FROM test.devices", + ) + + devices_dim_node, _ = await create_node_with_query( + session, + name="shared.devices", + display_name="Devices", + node_type=NodeType.DIMENSION, + query=""" + SELECT + CAST(device_id AS INT) device_id, + CAST(device_name AS STR) device_name, + device_manufacturer + FROM source.devices + """, + columns=[ + Column( + name="device_id", + type=ct.BigIntType(), + order=0, + attributes=[ColumnAttribute(attribute_type=primary_key_attribute)], + ), + Column(name="device_name", type=ct.StringType(), order=1), + Column(name="device_manufacturer", type=ct.StringType(), order=2), + ], + current_user=current_user, + ) + return devices_dim_node + + +@pytest_asyncio.fixture +async def manufacturers_dim( + clean_session: AsyncSession, + primary_key_attribute: AttributeType, + clean_current_user: User, +) -> Node: + """ + Manufacturers source node + dimension node + """ + session = clean_session + current_user = clean_current_user + await create_source( + session, + name="source.manufacturers", + display_name="Manufacturers", + schema_="test", + table="manufacturers", + columns=[ + Column(name="manufacturer_name", type=ct.BigIntType(), order=0), + Column(name="company_name", type=ct.StringType(), order=1), + Column(name="created_on", type=ct.TimestampType(), order=2), + ], + current_user=current_user, + query="SELECT manufacturer_name, company_name, created_on FROM test.manufacturers", + ) + manufacturers_dim_node, _ = await create_node_with_query( + session, + name="shared.manufacturers", + display_name="Manufacturers", + node_type=NodeType.DIMENSION, + query=""" + SELECT + CAST(manufacturer_name AS STR) name, + CAST(company_name AS STR) company_name, + created_on AS created_at, + COUNT(DISTINCT devices.device_id) AS devices_produced + FROM source.manufacturers manufacturers + JOIN shared.devices devices + ON manufacturers.manufacturer_name = devices.device_manufacturer + """, + columns=[ + Column( + name="name", + type=ct.StringType(), + order=0, + attributes=[ColumnAttribute(attribute_type=primary_key_attribute)], + ), + Column(name="company_name", type=ct.StringType(), order=1), + Column(name="created_on", type=ct.TimestampType(), order=2), + ], + current_user=current_user, + ) + return manufacturers_dim_node + + +@pytest_asyncio.fixture +async def country_dim( + clean_session: AsyncSession, + primary_key_attribute: AttributeType, + clean_current_user: User, +) -> Node: + """ + Countries source node + dimension node & regions source + dim + """ + session = clean_session + current_user = clean_current_user + await create_source( + session, + name="source.countries", + display_name="Countries", + schema_="test", + table="countries", + columns=[ + Column(name="country_code", type=ct.StringType(), order=0), + Column(name="country_name", type=ct.StringType(), order=1), + Column(name="region_code", type=ct.IntegerType(), order=2), + Column(name="population", type=ct.IntegerType(), order=3), + ], + current_user=current_user, + query="SELECT country_code, country_name, region_code, population FROM test.countries", + ) + + await create_source( + session, + name="source.regions", + display_name="Regions", + schema_="test", + table="regions", + columns=[ + Column(name="region_code", type=ct.StringType(), order=0), + Column(name="region_name", type=ct.StringType(), order=1), + ], + current_user=current_user, + query="SELECT region_code, region_name FROM test.regions", + ) + + await create_node_with_query( + session, + name="shared.regions", + display_name="Regions Dimension", + node_type=NodeType.DIMENSION, + query=""" + SELECT + region_code, + region_name + FROM source.regions + """, + columns=[ + Column( + name="region_code", + type=ct.StringType(), + order=0, + attributes=[ColumnAttribute(attribute_type=primary_key_attribute)], + ), + Column(name="region_name", type=ct.StringType(), order=1), + ], + current_user=current_user, + ) + countries_dim_node, _ = await create_node_with_query( + session, + name="shared.countries", + display_name="Countries Dimension", + node_type=NodeType.DIMENSION, + query=""" + SELECT + country_code, + country_name, + region_code, + region_name, + population + FROM source.countries countries + JOIN shared.regions ON countries.region_code = shared.regions.region_code + """, + columns=[ + Column( + name="country_code", + type=ct.StringType(), + order=0, + attributes=[ColumnAttribute(attribute_type=primary_key_attribute)], + ), + Column(name="country_name", type=ct.StringType(), order=1), + Column(name="region_code", type=ct.StringType(), order=2), + Column(name="region_name", type=ct.StringType(), order=3), + Column(name="population", type=ct.IntegerType(), order=4), + ], + current_user=current_user, + ) + return countries_dim_node + + +@pytest_asyncio.fixture +async def events_agg_countries_link( + clean_session: AsyncSession, + events_agg: Node, + country_dim: Node, +) -> Node: + """ + Link between agg.events and shared.countries + """ + session = clean_session + link = DimensionLink( + node_revision=events_agg.current, + dimension=country_dim, + join_sql=f"{events_agg.name}.country_code = {country_dim.name}.country_code", + join_type=JoinType.INNER, + ) + session.add(link) + await session.commit() + await session.refresh(link) + return link + + +@pytest_asyncio.fixture +async def events_devices_link( + clean_session: AsyncSession, + events: Node, + devices: Node, +) -> Node: + """ + Link between source.events and shared.devices + """ + session = clean_session + link = DimensionLink( + node_revision=events.current, + dimension=devices, + join_sql=f"{devices.name}.device_id = {events.name}.device_id", + join_type=JoinType.INNER, + ) + session.add(link) + await session.commit() + await session.refresh(link) + return link + + +@pytest_asyncio.fixture +async def events_agg_devices_link( + clean_session: AsyncSession, + events_agg: Node, + devices: Node, + manufacturers_dim: Node, +) -> Node: + """ + Link between agg.events and shared.devices + """ + session = clean_session + link = DimensionLink( + node_revision=events_agg.current, + dimension=devices, + join_sql=f"{devices.name}.device_id = {events_agg.name}.device_id", + join_type=JoinType.INNER, + ) + session.add(link) + await session.commit() + await session.refresh(link) + + link2 = DimensionLink( + node_revision=devices.current, + dimension=manufacturers_dim, + join_sql=f"{manufacturers_dim.name}.name = {devices.name}.device_manufacturer", + join_type=JoinType.INNER, + ) + session.add(link2) + await session.commit() + await session.refresh(link2) + await session.refresh(devices, ["current"]) + await session.refresh(events_agg, ["current"]) + return link + + +@pytest_asyncio.fixture +async def events_agg_complex_devices_link( + clean_session: AsyncSession, + events_agg_complex: Node, + devices: Node, +) -> Node: + """ + Link between agg.events and shared.devices + """ + session = clean_session + link = DimensionLink( + node_revision=events_agg_complex.current, + dimension=devices, + join_sql=f"{devices.name}.device_id = {events_agg_complex.name}.device_id", + join_type=JoinType.INNER, + ) + session.add(link) + await session.commit() + await session.refresh(link) + await session.refresh(events_agg_complex, ["current"]) + return link + + +@pytest_asyncio.fixture +async def events_agg_date_dim_link( + clean_session: AsyncSession, + events_agg: Node, + date_dim: Node, +) -> Node: + """ + Link between agg.events and shared.date + """ + session = clean_session + link = DimensionLink( + node_revision=events_agg.current, + dimension=date_dim, + join_sql=f"{events_agg.name}.utc_date = {date_dim.name}.dateint", + join_type=JoinType.INNER, + ) + session.add(link) + await session.commit() + await session.refresh(link) + return link + + +@pytest.mark.asyncio +async def test_dimension_join_path( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + events_agg_devices_link: Node, +): + """ + Test finding a join path between the dimension attribute and the node. + """ + session = clean_session + path = await dimension_join_path( + session, + events_agg.current, + "shared.devices.device_manufacturer", + ) + assert [link.dimension.name for link in path] == ["shared.devices"] # type: ignore + + path = await dimension_join_path( + session, + events_agg.current, + "shared.manufacturers.name", + ) + assert [link.dimension.name for link in path] == [ # type: ignore + "shared.devices", + "shared.manufacturers", + ] + + path = await dimension_join_path( + session, + events.current, + "shared.manufacturers.name", + ) + assert path is None + + path = await dimension_join_path( + session, + events.current, + "source.events.country_code", + ) + assert path == [] + + path = await dimension_join_path( + session, + events_agg.current, + "agg.events.country_code", + ) + assert path == [] + + +@pytest.mark.asyncio +async def test_build_source_node( + clean_session: AsyncSession, + events: Node, +): + """ + Test building a source node + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + events.current, + ) + query_ast = await query_builder.build() + assert ( + str(query_ast).strip() + == str( + parse( + """ + SELECT + event_id, + user_id, + device_id, + country_code, + latency, + utc_date + FROM test.events + """, + ), + ).strip() + ) + + +@pytest.mark.asyncio +async def test_build_source_node_with_direct_filter( + clean_session: AsyncSession, + events: Node, +): + """ + Test building a source node with a filter on an immediate column on the source node. + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + events.current, + ) + query_ast = await query_builder.build() + assert ( + str(query_ast).strip() + == str( + parse( + """ + SELECT + event_id, + user_id, + device_id, + country_code, + latency, + utc_date + FROM test.events + """, + ), + ).strip() + ) + + query_ast = await query_builder.add_filters( + ["source.events.utc_date = 20210101"], + ).build() + expected = """ + WITH source_DOT_events AS ( + SELECT + source_DOT_events.event_id, + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code, + source_DOT_events.latency, + source_DOT_events.utc_date + FROM ( + SELECT + event_id, + user_id, + device_id, + country_code, + latency, + utc_date + FROM test.events + WHERE utc_date = 20210101 + ) source_DOT_events + WHERE source_DOT_events.utc_date = 20210101 + ) + SELECT + source_DOT_events.event_id, + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code, + source_DOT_events.latency, + source_DOT_events.utc_date + FROM source_DOT_events + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_source_with_pushdown_filters( + clean_session: AsyncSession, + events: Node, + devices: Node, + events_devices_link: DimensionLink, +): + """ + Test building a source node with a dimension attribute filter that can be + pushed down to an immediate column on the source node. + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + events.current, + ) + query_ast = await ( + query_builder.filter_by("shared.devices.device_id = 111") + .filter_by("shared.devices.device_id = 222") + .add_dimension("shared.devices.device_id") + .build() + ) + + expected = """ + WITH source_DOT_events AS ( + SELECT + source_DOT_events.event_id, + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code, + source_DOT_events.latency, + source_DOT_events.utc_date + FROM ( + SELECT + event_id, + user_id, + device_id, + country_code, + latency, + utc_date + FROM test.events + WHERE device_id = 111 AND device_id = 222 + ) source_DOT_events + WHERE + source_DOT_events.device_id = 111 AND source_DOT_events.device_id = 222 + ) + SELECT + source_DOT_events.event_id, + source_DOT_events.user_id, + source_DOT_events.device_id shared_DOT_devices_DOT_device_id, + source_DOT_events.country_code, + source_DOT_events.latency, + source_DOT_events.utc_date + FROM source_DOT_events + WHERE source_DOT_events.device_id = 111 AND source_DOT_events.device_id = 222 + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_source_with_join_filters( + clean_session: AsyncSession, + events: Node, + devices: Node, + events_devices_link: DimensionLink, +): + """ + Test building a source node with a dimension attribute filter that + requires a join to a dimension node. + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + events.current, + ) + query_ast = await ( + query_builder.filter_by("shared.devices.device_id = 111") + .filter_by("shared.devices.device_name = 'iPhone'") + .add_dimension("shared.devices.device_id") + .add_dimension("shared.devices.device_name") + .add_dimension("shared.devices.device_manufacturer") + .build() + ) + expected = """ + WITH + source_DOT_events AS ( + SELECT source_DOT_events.event_id, + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code, + source_DOT_events.latency, + source_DOT_events.utc_date + FROM ( + SELECT + event_id, + user_id, + device_id, + country_code, + latency, + utc_date + FROM test.events + WHERE device_id = 111 + ) source_DOT_events + WHERE source_DOT_events.device_id = 111 + ), + shared_DOT_devices AS ( + SELECT + CAST(source_DOT_devices.device_id AS INT) device_id, + CAST(source_DOT_devices.device_name AS STRING) device_name, + source_DOT_devices.device_manufacturer + FROM test.devices AS source_DOT_devices + WHERE + CAST(source_DOT_devices.device_id AS INT) = 111 + AND CAST(source_DOT_devices.device_name AS STRING) = 'iPhone' + ) + SELECT source_DOT_events.event_id, + source_DOT_events.user_id, + source_DOT_events.device_id shared_DOT_devices_DOT_device_id, + source_DOT_events.country_code, + source_DOT_events.latency, + source_DOT_events.utc_date, + shared_DOT_devices.device_name shared_DOT_devices_DOT_device_name, + shared_DOT_devices.device_manufacturer shared_DOT_devices_DOT_device_manufacturer + FROM source_DOT_events + INNER JOIN shared_DOT_devices + ON shared_DOT_devices.device_id = source_DOT_events.device_id + WHERE source_DOT_events.device_id = 111 AND shared_DOT_devices.device_name = 'iPhone' + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_dimension_node( + clean_session: AsyncSession, + devices: Node, +): + """ + Test building a dimension node + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + devices.current, + ) + query_ast = await query_builder.build() + expected = """ + WITH shared_DOT_devices AS ( + SELECT + CAST(source_DOT_devices.device_id AS INT) device_id, + CAST(source_DOT_devices.device_name AS STRING) device_name, + source_DOT_devices.device_manufacturer + FROM test.devices AS source_DOT_devices + ) + SELECT + shared_DOT_devices.device_id, + shared_DOT_devices.device_name, + shared_DOT_devices.device_manufacturer + FROM shared_DOT_devices + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_dimension_node_with_direct_and_pushdown_filter( + clean_session: AsyncSession, + events: Node, + devices: Node, + events_agg_devices_link: DimensionLink, +): + """ + Test building a dimension node with a direct filter and a pushdown filter (the result + in this case is the same query) + """ + session = clean_session + expected = """ + WITH shared_DOT_devices AS ( + SELECT + CAST(source_DOT_devices.device_id AS INT) device_id, + CAST(source_DOT_devices.device_name AS STRING) device_name, + source_DOT_devices.device_manufacturer + FROM test.devices AS source_DOT_devices + WHERE source_DOT_devices.device_manufacturer = 'Apple' + ) + SELECT + shared_DOT_devices.device_id, + shared_DOT_devices.device_name, + shared_DOT_devices.device_manufacturer + FROM shared_DOT_devices + """ + # Direct filter + query_builder = await QueryBuilder.create( + session, + devices.current, + ) + query_ast = await query_builder.filter_by( + "shared.devices.device_manufacturer = 'Apple'", + ).build() + assert str(query_ast).strip() == str(parse(expected)).strip() + + # Pushdown filter + query_builder = await QueryBuilder.create( + session, + devices.current, + ) + query_ast = await ( + query_builder.filter_by("shared.manufacturers.name = 'Apple'") + ).build() + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_transform_with_pushdown_dimensions_filters( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + devices: Node, + events_agg_devices_link: DimensionLink, + manufacturers_dim: Node, +): + """ + Test building a transform node with filters and dimensions that can be pushed down + on to the transform's columns directly. + """ + session = clean_session + # await session.refresh(events_agg.current, ["dimension_links"]) + query_builder = await QueryBuilder.create( + session, + events_agg.current, + ) + query_ast = await ( + query_builder.filter_by("shared.devices.device_id = 111") + .filter_by("shared.devices.device_id = 222") + .add_dimension("shared.devices.device_id") + .build() + ) + expected = """ + WITH agg_DOT_events AS ( + SELECT + source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code, + SUM(source_DOT_events.latency) AS total_latency + FROM test.events AS source_DOT_events + WHERE + source_DOT_events.device_id = 111 AND source_DOT_events.device_id = 222 + GROUP BY + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code + ) + SELECT + agg_DOT_events.user_id, + agg_DOT_events.utc_date, + agg_DOT_events.device_id shared_DOT_devices_DOT_device_id, + agg_DOT_events.country_code, + agg_DOT_events.total_latency + FROM agg_DOT_events + WHERE agg_DOT_events.device_id = 111 AND agg_DOT_events.device_id = 222 + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_transform_with_deeper_pushdown_dimensions_filters( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + events_devices_link: DimensionLink, + devices: Node, + events_agg_devices_link: DimensionLink, + manufacturers_dim: Node, +): + """ + Test building a transform node with filters and dimensions that can be pushed down + both onto the transform's columns and onto its upstream source node's columns. + """ + session = clean_session + await session.refresh(events_agg.current, ["dimension_links"]) + query_builder = await QueryBuilder.create( + session, + events_agg.current, + ) + query_ast = await ( + query_builder.filter_by("shared.devices.device_id = 111") + .filter_by("shared.devices.device_id = 222") + .add_dimension("shared.devices.device_id") + .build() + ) + expected = """ + WITH agg_DOT_events AS ( + SELECT + source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code, + SUM(source_DOT_events.latency) AS total_latency + FROM ( + SELECT + event_id, + user_id, + device_id, + country_code, + latency, + utc_date + FROM test.events + WHERE device_id = 111 AND device_id = 222 + ) source_DOT_events + WHERE + source_DOT_events.device_id = 111 AND source_DOT_events.device_id = 222 + GROUP BY + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code + ) + SELECT + agg_DOT_events.user_id, + agg_DOT_events.utc_date, + agg_DOT_events.device_id shared_DOT_devices_DOT_device_id, + agg_DOT_events.country_code, + agg_DOT_events.total_latency + FROM agg_DOT_events + WHERE agg_DOT_events.device_id = 111 AND agg_DOT_events.device_id = 222 + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_transform_w_cte_and_pushdown_dimensions_filters( + clean_session: AsyncSession, + events: Node, + events_agg_complex: Node, + events_devices_link: DimensionLink, + devices: Node, + events_agg_complex_devices_link: DimensionLink, + manufacturers_dim: Node, +): + """ + Test building a transform node that has CTEs in the node query, built with + filters and dimensions that can be pushed down, both immediately on the transform and + at the upstream source node level. + """ + session = clean_session + await session.refresh(events_agg_complex.current, ["dimension_links"]) + query_builder = await QueryBuilder.create( + session, + events_agg_complex.current, + ) + query_ast = await ( + query_builder.filter_by("shared.devices.device_id = 111") + .filter_by("shared.devices.device_id = 222") + .add_dimension("shared.devices.device_id") + .build() + ) + expected = """ + WITH agg_DOT_events_complex AS ( + SELECT + CAST(complexity.user_id AS BIGINT) user_id, + CAST(complexity.utc_date AS BIGINT) utc_date, + CAST(complexity.device_id AS BIGINT) device_id, + CAST(complexity.country_code AS STRING) country_code, + CAST(complexity.total_latency AS BIGINT) total_latency + FROM ( + SELECT + source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code, + SUM(source_DOT_events.latency) AS total_latency + FROM ( + SELECT + event_id, + user_id, + device_id, + country_code, + latency, + utc_date + FROM test.events + WHERE device_id = 111 AND device_id = 222 + ) source_DOT_events + GROUP BY + source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code + ) AS complexity + WHERE CAST(complexity.device_id AS BIGINT) = 111 AND CAST(complexity.device_id AS BIGINT) = 222 + ) + SELECT + agg_DOT_events_complex.user_id, + agg_DOT_events_complex.utc_date, + agg_DOT_events_complex.device_id shared_DOT_devices_DOT_device_id, + agg_DOT_events_complex.country_code, + agg_DOT_events_complex.total_latency + FROM agg_DOT_events_complex + WHERE agg_DOT_events_complex.device_id = 111 AND agg_DOT_events_complex.device_id = 222 + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_transform_with_join_dimensions_filters( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + devices: Node, + events_agg_devices_link: DimensionLink, + manufacturers_dim: Node, +): + """ + Test building a transform node with filters and dimensions that require a join + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + events_agg.current, + ) + query_ast = await ( + query_builder.filter_by("shared.devices.device_name = 'iOS'") + .filter_by("shared.devices.device_id = 222") + .add_dimension("shared.devices.device_manufacturer") + .add_dimension("shared.devices.device_id") + .build() + ) + expected = """ + WITH agg_DOT_events AS ( + SELECT + source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code, + SUM(source_DOT_events.latency) AS total_latency + FROM test.events AS source_DOT_events + WHERE source_DOT_events.device_id = 222 + GROUP BY + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code + ), + shared_DOT_devices AS ( + SELECT CAST(source_DOT_devices.device_id AS INT) device_id, + CAST(source_DOT_devices.device_name AS STRING) device_name, + source_DOT_devices.device_manufacturer + FROM test.devices AS source_DOT_devices + WHERE + CAST(source_DOT_devices.device_name AS STRING) = 'iOS' + AND CAST(source_DOT_devices.device_id AS INT) = 222 + ) + SELECT + agg_DOT_events.user_id, + agg_DOT_events.utc_date, + agg_DOT_events.device_id, + agg_DOT_events.country_code, + agg_DOT_events.total_latency, + shared_DOT_devices.device_manufacturer shared_DOT_devices_DOT_device_manufacturer, + shared_DOT_devices.device_id shared_DOT_devices_DOT_device_id, + shared_DOT_devices.device_name shared_DOT_devices_DOT_device_name + FROM agg_DOT_events + INNER JOIN shared_DOT_devices + ON shared_DOT_devices.device_id = agg_DOT_events.device_id + WHERE shared_DOT_devices.device_name = 'iOS' AND shared_DOT_devices.device_id = 222 + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_transform_with_multijoin_dimensions_filters( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + devices: Node, + events_agg_devices_link: DimensionLink, + manufacturers_dim: Node, + country_dim: Node, +): + """ + Test building a transform node with filters and dimensions that require + multiple joins (multiple hops in the dimensions graph). This tests the join type + where dimension nodes themselves have a query that references an existing CTE + in the query. + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + events_agg.current, + ) + query_ast = await ( + query_builder.filter_by("shared.manufacturers.company_name = 'Apple'") + .filter_by("shared.devices.device_id = 123") + .filter_by("shared.devices.device_manufacturer = 'Something'") + .add_dimension("shared.devices.device_manufacturer") + .build() + ) + expected = """ + WITH + agg_DOT_events AS ( + SELECT + source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code, + SUM(source_DOT_events.latency) AS total_latency + FROM test.events AS source_DOT_events + WHERE source_DOT_events.device_id = 123 + GROUP BY + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code + ), + shared_DOT_devices AS ( + SELECT + CAST(source_DOT_devices.device_id AS INT) device_id, + CAST(source_DOT_devices.device_name AS STRING) device_name, + source_DOT_devices.device_manufacturer + FROM test.devices AS source_DOT_devices + WHERE + CAST(source_DOT_devices.device_id AS INT) = 123 + AND source_DOT_devices.device_manufacturer = 'Something' + ), + shared_DOT_manufacturers AS ( + SELECT + CAST(manufacturers.manufacturer_name AS STRING) name, + CAST(manufacturers.company_name AS STRING) company_name, + manufacturers.created_on AS created_at, + COUNT( DISTINCT devices.device_id) AS devices_produced + FROM test.manufacturers AS manufacturers + JOIN shared_DOT_devices devices + ON manufacturers.manufacturer_name = + devices.device_manufacturer + WHERE CAST(manufacturers.company_name AS STRING) = 'Apple' + ) + SELECT + agg_DOT_events.user_id, + agg_DOT_events.utc_date, + agg_DOT_events.device_id, + agg_DOT_events.country_code, + agg_DOT_events.total_latency, + shared_DOT_devices.device_manufacturer shared_DOT_devices_DOT_device_manufacturer, + shared_DOT_devices.device_id shared_DOT_devices_DOT_device_id, + shared_DOT_manufacturers.company_name shared_DOT_manufacturers_DOT_company_name + FROM agg_DOT_events + INNER JOIN shared_DOT_devices + ON shared_DOT_devices.device_id = agg_DOT_events.device_id + INNER JOIN shared_DOT_manufacturers + ON shared_DOT_manufacturers.name = shared_DOT_devices.device_manufacturer + WHERE shared_DOT_manufacturers.company_name = 'Apple' AND shared_DOT_devices.device_id = 123 + AND shared_DOT_devices.device_manufacturer = 'Something' + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_fail_no_join_path_found( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + country_dim: Node, +): + """ + Test failed node building due to not being able to find a join path to the dimension + """ + session = clean_session + with pytest.raises(DJQueryBuildException) as exc_info: + query_builder = await QueryBuilder.create( + session, + events_agg.current, + ) + await ( + query_builder.raise_errors() + .filter_by("shared.countries.region_name = 'APAC'") + .add_dimension("shared.countries.region_name") + .build() + ) + assert ( + "This dimension attribute cannot be joined in: shared.countries.region_name. " + "Please make sure that shared.countries is linked to agg.events" + ) in str(exc_info.value) + + # Setting ignore errors will save them to the errors list on the query builder + # object but will not raise a build exception + query_builder = await QueryBuilder.create( + session, + events_agg.current, + ) + query_ast = await ( + query_builder.ignore_errors() + .filter_by("shared.countries.region_name = 'APAC'") + .add_dimension("shared.countries.region_name") + .build() + ) + assert ( + DJQueryBuildError( + code=ErrorCode.INVALID_DIMENSION_JOIN, + message="This dimension attribute cannot be joined in: shared.countries.region_name. " + "Please make sure that shared.countries is linked to agg.events", + debug=None, + context=str(query_builder), + ) + in query_builder.errors + ) + assert query_builder.final_ast == query_ast + + +@pytest.mark.asyncio +async def test_query_builder( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + country_dim: Node, +): + """ + Test failed node building due to not being able to find a join path to the dimension + """ + session = clean_session + query_builder = ( + ( + await QueryBuilder.create( + session, + events_agg.current, + ) + ) + .filter_by("shared.countries.region_name = 'APAC'") + .filter_by("shared.countries.region_name = 'APAC'") + .add_dimension("shared.countries.region_name") + .add_dimension("shared.countries.region_name") + .order_by(["shared.countries.region_name DESC"]) + .order_by("shared.countries.region_name DESC") + .order_by("shared.countries.region_name ASC") + .limit(100) + ) + assert query_builder.filters == ["shared.countries.region_name = 'APAC'"] + assert query_builder.dimensions == ["shared.countries.region_name"] + assert query_builder._orderby == [ + "shared.countries.region_name DESC", + "shared.countries.region_name ASC", + ] + assert query_builder._limit == 100 + assert not query_builder.include_dimensions_in_groupby + + +@pytest.mark.asyncio +async def test_build_transform_sql_without_materialized_tables( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + devices: Node, + events_agg_devices_link: DimensionLink, + manufacturers_dim: Node, + country_dim: Node, + events_agg_countries_link: DimensionLink, +): + """ + Test building a transform node with filters and dimensions that forces skipping the materialized + tables for the dependent nodes. + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + events_agg.current, + use_materialized=False, + ) + query_ast = await ( + query_builder.filter_by("shared.manufacturers.company_name = 'Apple'") + .filter_by("shared.manufacturers.created_at > 20240101") + .filter_by("shared.countries.region_name = 'APAC'") + .add_dimension("shared.devices.device_manufacturer") + .add_dimension("shared.countries.region_name") + .build() + ) + expected = """ + WITH + source_DOT_events AS ( + SELECT event_id, + user_id, + device_id, + country_code, + latency, + utc_date + FROM test.events + ), + agg_DOT_events AS ( + SELECT source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code, + SUM(source_DOT_events.latency) AS total_latency + FROM source_DOT_events + GROUP BY source_DOT_events.user_id, source_DOT_events.device_id, source_DOT_events.country_code + ), + source_DOT_devices AS ( + SELECT device_id, + device_name, + device_manufacturer + FROM test.devices + ), + shared_DOT_devices AS ( + SELECT CAST(source_DOT_devices.device_id AS INT) device_id, + CAST(source_DOT_devices.device_name AS STRING) device_name, + source_DOT_devices.device_manufacturer + FROM source_DOT_devices + ), + source_DOT_countries AS ( + SELECT country_code, + country_name, + region_code, + population + FROM test.countries + ), + source_DOT_regions AS ( + SELECT region_code, + region_name + FROM test.regions + ), + shared_DOT_regions AS ( + SELECT source_DOT_regions.region_code, + source_DOT_regions.region_name + FROM source_DOT_regions + ), + shared_DOT_countries AS ( + SELECT countries.country_code, + countries.country_name, + shared_DOT_regions.region_code, + shared_DOT_regions.region_name, + countries.population + FROM source_DOT_countries countries JOIN shared_DOT_regions ON countries.region_code = shared_DOT_regions.region_code + WHERE shared_DOT_regions.region_name = 'APAC' + ), + source_DOT_manufacturers AS ( + SELECT manufacturer_name, + company_name, + created_on + FROM test.manufacturers + ), + shared_DOT_manufacturers AS ( + SELECT CAST(manufacturers.manufacturer_name AS STRING) name, + CAST(manufacturers.company_name AS STRING) company_name, + manufacturers.created_on AS created_at, + COUNT( DISTINCT devices.device_id) AS devices_produced + FROM source_DOT_manufacturers manufacturers JOIN shared_DOT_devices devices ON manufacturers.manufacturer_name = devices.device_manufacturer + WHERE CAST(manufacturers.company_name AS STRING) = 'Apple' AND manufacturers.created_on > 20240101 + ) + + SELECT agg_DOT_events.user_id, + agg_DOT_events.utc_date, + agg_DOT_events.device_id, + agg_DOT_events.country_code, + agg_DOT_events.total_latency, + shared_DOT_devices.device_manufacturer shared_DOT_devices_DOT_device_manufacturer, + shared_DOT_countries.region_name shared_DOT_countries_DOT_region_name, + shared_DOT_manufacturers.company_name shared_DOT_manufacturers_DOT_company_name, + shared_DOT_manufacturers.created_at shared_DOT_manufacturers_DOT_created_at + FROM agg_DOT_events INNER JOIN shared_DOT_devices ON shared_DOT_devices.device_id = agg_DOT_events.device_id + INNER JOIN shared_DOT_countries ON agg_DOT_events.country_code = shared_DOT_countries.country_code + INNER JOIN shared_DOT_manufacturers ON shared_DOT_manufacturers.name = shared_DOT_devices.device_manufacturer + WHERE shared_DOT_manufacturers.company_name = 'Apple' AND shared_DOT_manufacturers.created_at > 20240101 + AND shared_DOT_countries.region_name = 'APAC' + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + query_builder = await QueryBuilder.create( + session, + events_agg.current, + use_materialized=True, + ) + query_ast = await ( + query_builder.filter_by("shared.manufacturers.company_name = 'Apple'") + .filter_by("shared.manufacturers.created_at > 20240101") + .filter_by("shared.countries.region_name = 'APAC'") + .add_dimension("shared.devices.device_manufacturer") + .add_dimension("shared.countries.region_name") + .build() + ) + assert str(query_ast).strip() != str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_transform_with_multijoin_dimensions_with_extra_ctes( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + devices: Node, + events_agg_devices_link: DimensionLink, + manufacturers_dim: Node, + country_dim: Node, + events_agg_countries_link: DimensionLink, +): + """ + Test building a transform node with filters and dimensions that require + multiple joins (multiple hops in the dimensions graph). This tests the join type + where dimension nodes themselves have a query that brings in an additional node that + is not already a CTE on the query. + """ + session = clean_session + query_builder = await QueryBuilder.create(session, events_agg.current) + query_ast = await ( + query_builder.filter_by("shared.manufacturers.company_name = 'Apple'") + .filter_by("shared.manufacturers.created_at > 20240101") + .filter_by("shared.countries.region_name = 'APAC'") + .add_dimension("shared.devices.device_manufacturer") + .add_dimension("shared.countries.region_name") + .build() + ) + expected = """ + WITH + agg_DOT_events AS ( + SELECT + source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code, + SUM(source_DOT_events.latency) AS total_latency + FROM test.events AS source_DOT_events + GROUP BY + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code + ), + shared_DOT_devices AS ( + SELECT CAST(source_DOT_devices.device_id AS INT) device_id, + CAST(source_DOT_devices.device_name AS STRING) device_name, + source_DOT_devices.device_manufacturer + FROM test.devices AS source_DOT_devices + ), + shared_DOT_regions AS ( + SELECT + source_DOT_regions.region_code, + source_DOT_regions.region_name + FROM test.regions AS source_DOT_regions + ), + shared_DOT_countries AS ( + SELECT countries.country_code, + countries.country_name, + shared_DOT_regions.region_code, + shared_DOT_regions.region_name, + countries.population + FROM test.countries AS countries + JOIN shared_DOT_regions + ON countries.region_code = shared_DOT_regions.region_code + WHERE + shared_DOT_regions.region_name = 'APAC' + ), + shared_DOT_manufacturers AS ( + SELECT + CAST(manufacturers.manufacturer_name AS STRING) name, + CAST(manufacturers.company_name AS STRING) company_name, + manufacturers.created_on AS created_at, + COUNT( DISTINCT devices.device_id) AS devices_produced + FROM test.manufacturers AS manufacturers + JOIN shared_DOT_devices devices ON manufacturers.manufacturer_name = + devices.device_manufacturer + WHERE + CAST(manufacturers.company_name AS STRING) = 'Apple' + AND manufacturers.created_on > 20240101 + ) + + SELECT agg_DOT_events.user_id, + agg_DOT_events.utc_date, + agg_DOT_events.device_id, + agg_DOT_events.country_code, + agg_DOT_events.total_latency, + shared_DOT_devices.device_manufacturer shared_DOT_devices_DOT_device_manufacturer, + shared_DOT_countries.region_name shared_DOT_countries_DOT_region_name, + shared_DOT_manufacturers.company_name shared_DOT_manufacturers_DOT_company_name, + shared_DOT_manufacturers.created_at shared_DOT_manufacturers_DOT_created_at + FROM agg_DOT_events + INNER JOIN shared_DOT_devices + ON shared_DOT_devices.device_id = agg_DOT_events.device_id + INNER JOIN shared_DOT_countries + ON agg_DOT_events.country_code = shared_DOT_countries.country_code + INNER JOIN shared_DOT_manufacturers + ON shared_DOT_manufacturers.name = shared_DOT_devices.device_manufacturer + WHERE shared_DOT_manufacturers.company_name = 'Apple' + AND shared_DOT_manufacturers.created_at > 20240101 + AND shared_DOT_countries.region_name = 'APAC' + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +@pytest.mark.asyncio +async def test_build_with_source_filters( + clean_session: AsyncSession, + events: Node, + events_agg: Node, + date_dim: Node, + events_agg_date_dim_link: DimensionLink, +): + """ + Test build node with filters on source + """ + session = clean_session + query_builder = await QueryBuilder.create( + session, + events_agg.current, + ) + query_ast = await query_builder.filter_by("shared.date.dateint = 20250101").build() + expected = """ + WITH + agg_DOT_events AS ( + SELECT source_DOT_events.user_id, + source_DOT_events.utc_date, + source_DOT_events.device_id, + source_DOT_events.country_code, + SUM(source_DOT_events.latency) AS total_latency + FROM test.events AS source_DOT_events + WHERE source_DOT_events.utc_date = 20250101 + GROUP BY + source_DOT_events.user_id, + source_DOT_events.device_id, + source_DOT_events.country_code + ) + + SELECT agg_DOT_events.user_id, + agg_DOT_events.utc_date, + agg_DOT_events.device_id, + agg_DOT_events.country_code, + agg_DOT_events.total_latency + FROM agg_DOT_events + """ + assert str(query_ast).strip() == str(parse(expected)).strip() + + +def test_combine_filter_conditions(): + """ + Tests combining filter conditions + """ + assert combine_filter_conditions(None) is None + assert combine_filter_conditions(None, None) is None + assert ( + str( + combine_filter_conditions( + None, + ast.BinaryOp( + op=ast.BinaryOpKind.Eq, + left=ast.Column(name=ast.Name("abc")), + right=ast.String("'one'"), + ), + ), + ) + == "abc = 'one'" + ) + assert ( + str( + combine_filter_conditions( + None, + ast.BinaryOp( + op=ast.BinaryOpKind.Eq, + left=ast.Column(name=ast.Name("abc")), + right=ast.String("'one'"), + ), + ast.BinaryOp( + op=ast.BinaryOpKind.Eq, + left=ast.Column(name=ast.Name("def")), + right=ast.String("'two'"), + ), + ), + ) + == "abc = 'one' AND def = 'two'" + ) + assert ( + str( + combine_filter_conditions( + ast.BinaryOp( + op=ast.BinaryOpKind.Eq, + left=ast.Column(name=ast.Name("abc")), + right=ast.String("'one'"), + ), + ast.BinaryOp( + op=ast.BinaryOpKind.Eq, + left=ast.Column(name=ast.Name("def")), + right=ast.String("'two'"), + ), + ), + ) + == "abc = 'one' AND def = 'two'" + ) + + +def test_normalize_query_param_value(): + # case when value is already ast.Value + ast_value = ast.String("'blah'") # assuming ast.Value can be instantiated like this + assert QueryBuilder.normalize_query_param_value("param1", ast_value) is ast_value + + # int value + result = QueryBuilder.normalize_query_param_value("param2", 42) + assert isinstance(result, ast.Number) + assert result.value == 42 # assuming ast.Number stores value in .value attribute + + # float value + result = QueryBuilder.normalize_query_param_value("param3", 3.14) + assert isinstance(result, ast.Number) + assert result.value == 3.14 + + # bool value True + result = QueryBuilder.normalize_query_param_value("param4", True) + assert isinstance(result, ast.Boolean) + assert result.value is True + + # bool value False + result = QueryBuilder.normalize_query_param_value("param5", False) + assert isinstance(result, ast.Boolean) + assert result.value is False + + # None value + result = QueryBuilder.normalize_query_param_value("param6", None) + assert isinstance(result, ast.Null) + + # str value + s = "hello" + result = QueryBuilder.normalize_query_param_value("param7", s) + assert isinstance(result, ast.String) + assert result.value == f"'{s}'" + + # unsupported type should raise TypeError + with pytest.raises(TypeError) as e: + QueryBuilder.normalize_query_param_value("param8", [1, 2, 3]) + assert "Unsupported parameter type" in str(e.value) + + +class TestResolveMetricComponent: + """ + All tests for resolving MetricComponent against a parent AST + """ + + @pytest.fixture + def parent_ast(self): + """ + Returns a sample parent AST for testing. + """ + parent_ast = parse( + """ + WITH default_DOT_transform_agg_built AS ( + SELECT + default_DOT_transform_agg.dateint AS default_DOT_transform_agg_DOT_utc_date, + default_DOT_transform_agg.entity AS default_DOT_transform_agg_DOT_entity, + default_DOT_transform_agg.event_type, + default_DOT_transform_agg.event_ts, + FROM default_DOT_transform_agg + ) SELECT 1 + """, + ).ctes[0] + parent_ast.select.projection[0].add_type(ct.IntegerType()) + parent_ast.select.projection[1].add_type(ct.VarcharType()) + parent_ast.select.projection[2].add_type(ct.VarcharType()) + parent_ast.select.projection[3].add_type(ct.IntegerType()) + return parent_ast + + @pytest.fixture + def parent_node(self): + return Node(name="default.transform_agg") + + def test_resolve_direct_projection(self, parent_ast, parent_node): + """ + Test resolving a direct projection against a parent AST. + """ + component = MetricComponent( + name="event_ts_max_10a23a8f", + expression="event_ts", + aggregation="MAX", + rule=AggregationRule(type=Aggregability.FULL), + ) + component_ast = resolve_metric_component_against_parent( + component, + parent_ast, + parent_node, + ) + expected_ast = parse( + "SELECT MAX(default_DOT_transform_agg.event_ts) AS event_ts_max_10a23a8f " + "FROM default_DOT_transform_agg_built", + ) + assert str(component_ast) == str(expected_ast) + assert [col.type for col in component_ast.select.projection] == [ + ct.IntegerType(), + ] + + def test_handles_group_by(self, parent_ast, parent_node): + """ + Test that a component with a group by (determined from AggregationRule) is constructed + correctly against the parent AST. + """ + component = MetricComponent( + name="entity_distinct", + expression="entity", + aggregation=None, + rule=AggregationRule(type=Aggregability.LIMITED, level=["entity"]), + ) + component_ast = resolve_metric_component_against_parent( + component, + parent_ast, + parent_node, + ) + assert str(component_ast) == str( + parse( + "SELECT default_DOT_transform_agg_DOT_entity AS entity_distinct " + "FROM default_DOT_transform_agg_built " + "GROUP BY default_DOT_transform_agg_DOT_entity", + ), + ) + assert [col.type for col in component_ast.select.projection] == [ + ct.VarcharType(), + ] + component = MetricComponent( + name="event_type_distinct", + expression="event_type", + aggregation=None, + rule=AggregationRule(type=Aggregability.LIMITED, level=["event_type"]), + ) + component_ast = resolve_metric_component_against_parent( + component, + parent_ast, + parent_node, + ) + assert str(component_ast) == str( + parse( + "SELECT default_DOT_transform_agg.event_type AS event_type_distinct " + "FROM default_DOT_transform_agg_built " + "GROUP BY default_DOT_transform_agg.event_type", + ), + ) + assert [col.type for col in component_ast.select.projection] == [ + ct.VarcharType(), + ] + + def test_resolve_local_dimension_ref_with_groupby(self, parent_ast, parent_node): + component = MetricComponent( + name="utc_date_distinct", + expression="utc_date", + aggregation=None, + rule=AggregationRule(type=Aggregability.LIMITED, level=["utc_date"]), + ) + component_ast = resolve_metric_component_against_parent( + component, + parent_ast, + parent_node, + ) + assert str(component_ast) == str( + parse( + "SELECT default_DOT_transform_agg_DOT_utc_date AS utc_date_distinct " + "FROM default_DOT_transform_agg_built " + "GROUP BY default_DOT_transform_agg_DOT_utc_date", + ), + ) + assert [col.type for col in component_ast.select.projection] == [ + ct.IntegerType(), + ] + + def test_resolve_local_dimension_ref_without_groupby(self, parent_ast, parent_node): + component = MetricComponent( + name="utc_date_max", + expression="utc_date", + aggregation="MAX", + rule=AggregationRule(type=Aggregability.FULL), + ) + component_ast = resolve_metric_component_against_parent( + component, + parent_ast, + parent_node, + ) + assert str(component_ast) == str( + parse( + "SELECT MAX(default_DOT_transform_agg_DOT_utc_date) AS utc_date_max " + "FROM default_DOT_transform_agg_built", + ), + ) + assert [col.type for col in component_ast.select.projection] == [ + ct.IntegerType(), + ] + + def test_no_aggregation_no_group_by(self, parent_ast, parent_node): + component = MetricComponent( + name="raw_value", + expression="entity", + aggregation=None, + rule=AggregationRule(type=Aggregability.NONE), + ) + component_ast = resolve_metric_component_against_parent( + component, + parent_ast, + parent_node, + ) + assert str(component_ast) == str( + parse( + "SELECT default_DOT_transform_agg_DOT_entity AS raw_value " + "FROM default_DOT_transform_agg_built", + ), + ) + assert [col.type for col in component_ast.select.projection] == [ + ct.VarcharType(), + ] diff --git a/datajunction-server/tests/construction/build_v3/__init__.py b/datajunction-server/tests/construction/build_v3/__init__.py new file mode 100644 index 000000000..4cc604a53 --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/__init__.py @@ -0,0 +1,60 @@ +import re + +from datajunction_server.sql.parsing.backends.antlr4 import parse as parse_sql + + +def assert_sql_equal( + actual_sql: str, + expected_sql: str, + normalize_aliases: bool = False, +): + """ + Assert that two SQL strings are semantically equal. + + Uses the DJ SQL parser to normalize both strings before comparison. + This handles whitespace differences, keyword casing, etc. + + Args: + actual_sql: The actual SQL generated + expected_sql: The expected SQL + normalize_aliases: If True, normalizes component hash suffixes (e.g., sum_x_abc123 -> sum_x_*) + """ + if normalize_aliases: + # Normalize hash-based component names: sum_foo_abc123 -> sum_foo_HASH + hash_pattern = r"(_[a-f0-9]{8})(?=[\s,)]|$)" + actual_sql = re.sub(hash_pattern, "_HASH", actual_sql) + expected_sql = re.sub(hash_pattern, "_HASH", expected_sql) + + actual_sql = actual_sql.replace("${dj_logical_timestamp}", "DJ_LOGICAL_TIMESTAMP()") + actual_parsed = str(parse_sql(actual_sql)) + expected_parsed = str(parse_sql(expected_sql)) + + assert actual_parsed == expected_parsed, ( + f"\n\nActual SQL:\n{actual_parsed}\n\nExpected SQL:\n{expected_parsed}" + ) + + +def get_first_grain_group(response_data: dict) -> dict: + """ + Extract the first grain group from a measures SQL response. + + The new V3 measures SQL returns multiple grain groups (one per aggregability level). + Most tests only have FULL aggregability metrics, so this helper extracts the + first (and usually only) grain group for simpler test assertions. + + Returns a dict with 'sql' and 'columns' keys for backward compatibility with + existing test assertions. + """ + assert "grain_groups" in response_data, "Response should have 'grain_groups'" + assert len(response_data["grain_groups"]) > 0, ( + "Should have at least one grain group" + ) + + grain_group = response_data["grain_groups"][0] + return { + "sql": grain_group["sql"], + "columns": grain_group["columns"], + "grain": grain_group.get("grain", []), + "aggregability": grain_group.get("aggregability"), + "metrics": grain_group.get("metrics", []), + } diff --git a/datajunction-server/tests/construction/build_v3/alias_registry_test.py b/datajunction-server/tests/construction/build_v3/alias_registry_test.py new file mode 100644 index 000000000..11defa71b --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/alias_registry_test.py @@ -0,0 +1,270 @@ +from datajunction_server.construction.build_v3 import AliasRegistry + + +class TestAliasRegistry: + """Tests for the AliasRegistry class.""" + + def test_basic_registration(self): + """Test basic alias registration.""" + registry = AliasRegistry() + + alias = registry.register("orders.customer.country") + assert alias == "country" + + # Same semantic name returns same alias + alias2 = registry.register("orders.customer.country") + assert alias2 == "country" + + assert registry.is_registered("orders.customer.country") + assert registry.is_registered("random.thing") is False + + assert len(registry) == 1 + assert "orders.customer.country" in registry + + assert registry.all_mappings() == { + "orders.customer.country": "country", + } + registry.clear() + assert registry.all_mappings() == {} + + def test_conflict_resolution(self): + """Test that conflicts are resolved by adding qualifiers.""" + registry = AliasRegistry() + + # First registration gets short name + alias1 = registry.register("orders.country") + assert alias1 == "country" + + # Second registration with same ending gets qualified + alias2 = registry.register("customers.country") + assert alias2 == "customers_country" + + def test_deep_conflict_resolution(self): + """Test that deep conflicts get progressively longer names.""" + registry = AliasRegistry() + + alias1 = registry.register("a.b.country") + assert alias1 == "country" + + alias2 = registry.register("c.b.country") + assert alias2 == "b_country" + + # Third registration needs even more qualification + alias3 = registry.register("d.b.country") + assert alias3 == "d_b_country" + + def test_numeric_fallback(self): + """Test numeric suffix fallback when all names are taken.""" + registry = AliasRegistry() + + # Register all possible combinations + registry.register("country") + registry._used_aliases.add("_country") # Block all possibilities + + # Force numeric fallback + alias = registry.register("x.country") + assert alias == "x_country" or alias.startswith("country_") + + def test_get_alias(self): + """Test looking up an alias.""" + registry = AliasRegistry() + + registry.register("orders.total") + + assert registry.get_alias("orders.total") == "total" + assert registry.get_alias("nonexistent") is None + + def test_get_semantic(self): + """Test reverse lookup from alias to semantic name.""" + registry = AliasRegistry() + + registry.register("orders.total") + + assert registry.get_semantic("total") == "orders.total" + assert registry.get_semantic("nonexistent") is None + + def test_clean_part(self): + """Test that invalid characters are cleaned.""" + registry = AliasRegistry() + + alias = registry.register("orders.customer-name") + assert alias == "customer_name" + + alias = registry.register("orders.some@email") + assert alias == "some_email" + + def test_role_in_semantic_name(self): + """Test that roles in semantic names ALWAYS produce role-suffixed aliases.""" + registry = AliasRegistry() + + # Without role gets short name + alias1 = registry.register("v3.location.country") + assert alias1 == "country" + + # With role ALWAYS gets role-suffixed name + alias2 = registry.register("v3.location.country[from]") + assert alias2 == "country_from" + + alias3 = registry.register("v3.location.country[to]") + assert alias3 == "country_to" + + def test_role_always_included(self): + """Test that role is always included in alias, even if first.""" + registry = AliasRegistry() + + # Even the first role-based registration includes the role + alias1 = registry.register("v3.location.country[from]") + assert alias1 == "country_from" # Role always included + + alias2 = registry.register("v3.location.country[to]") + assert alias2 == "country_to" + + def test_multi_hop_role_path(self): + """Test that multi-hop role paths use the last role part.""" + registry = AliasRegistry() + + # Role-based registration always includes role suffix + alias1 = registry.register("v3.date.year[order]") + assert alias1 == "year_order" + + # Multi-hop path uses last part of role (registration) + alias2 = registry.register("v3.date.year[customer->registration]") + assert alias2 == "year_registration" + + # Another multi-hop with different path + alias3 = registry.register("v3.location.country[customer->home]") + assert alias3 == "country_home" + + alias4 = registry.register("v3.location.country[from]") + assert alias4 == "country_from" + + def test_all_roles_same_column(self): + """Test multiple roles all pointing to the same column.""" + registry = AliasRegistry() + + alias1 = registry.register("v3.location.city[from]") + assert alias1 == "city_from" + + alias2 = registry.register("v3.location.city[to]") + assert alias2 == "city_to" + + alias3 = registry.register("v3.location.city[customer->home]") + assert alias3 == "city_home" + + def test_role_conflict_deep_resolution(self): + """ + Test that role alias conflicts are resolved with progressive qualification. + + When multiple dimension paths have the same base name and same role, + the registry should add more qualification to disambiguate. + """ + registry = AliasRegistry() + + # First registration: city_from + alias1 = registry.register("v3.location.city[from]") + assert alias1 == "city_from" + + # Block the simple name to force conflict resolution + # Simulate another path with same ending + registry._used_aliases.add("location_city_from") + + # This should need even more qualification + alias2 = registry.register("v3.other.location.city[from]") + # Should get progressively longer: other_location_city_from or v3_other_location_city_from + assert alias2 != "city_from" # Must be different + assert "from" in alias2 # Role must be included + assert "city" in alias2 # Base column must be included + + def test_role_conflict_numeric_fallback(self): + """ + Test that role aliases fall back to numeric suffix when all names conflict. + """ + registry = AliasRegistry() + + # Register first + alias1 = registry.register("a.city[from]") + assert alias1 == "city_from" + + # Block all reasonable combinations + registry._used_aliases.add("b_city_from") + registry._used_aliases.add("c_b_city_from") + + # Should eventually get a numeric fallback + alias2 = registry.register("c.b.city[from]") + # Either gets a longer qualified name or numeric suffix + assert alias2 != "city_from" + assert "from" in alias2 or "_" in alias2 + + def test_empty_or_invalid_semantic_name_fallback(self): + """Test fallback when semantic name has no valid parts.""" + from datajunction_server.construction.build_v3.alias_registry import ( + AliasRegistry, + ) + + registry = AliasRegistry() + + # Semantic name with only invalid characters (not alphanumeric or underscore) + alias = registry.register("@#$") # All invalid chars -> parts=[] + assert alias == "col_1" + + # Another one should get col_2 + alias2 = registry.register("!@#.%^&") # All invalid chars + assert alias2 == "col_2" + + # Empty string edge case + alias3 = registry.register("") + assert alias3 == "col_3" + + def test_numeric_fallback_exhausted_combinations(self): + """Test that numeric suffix is used when all path combinations are taken.""" + from datajunction_server.construction.build_v3.alias_registry import ( + AliasRegistry, + ) + + registry = AliasRegistry() + + # Register items that will take all combinations for "a.b.c" + alias1 = registry.register("c") # -> "c" + assert alias1 == "c" + alias2 = registry.register("b.c") # -> "b_c" (c taken) + assert alias2 == "b_c" + alias3 = registry.register("a.b.c") # -> "a_b_c" (c, b_c taken) + assert alias3 == "a_b_c" + alias4 = registry.register( + "x.a.b.c", + ) # -> tries c, b_c, a_b_c, x_a_b_c -> gets "x_a_b_c" + assert alias4 == "x_a_b_c" + + # But we need something with exactly parts ["a", "b", "c"] where all are taken + # Let's use a different approach - same ending but shorter path: + registry2 = AliasRegistry() + registry2.register("z.c") # -> "c" + registry2.register("z.b.c") # -> "b_c" + registry2.register("z.a.b.c") # -> "a_b_c" + + # Now register "a.b.c" - same parts, all taken + alias = registry2.register("a.b.c") + assert alias == "c_1" # Falls back to numeric + + def test_clean_part_collapses_multiple_underscores(self): + """Test that multiple consecutive invalid chars are collapsed to single underscore.""" + from datajunction_server.construction.build_v3.alias_registry import ( + AliasRegistry, + ) + + registry = AliasRegistry() + + # Part with multiple consecutive invalid chars (-- becomes __ then _) + # "foo--bar" -> replace dashes -> "foo__bar" -> collapse -> "foo_bar" + alias = registry.register("foo--bar") + assert alias == "foo_bar" + + # Even more consecutive invalid chars + # "a---b" -> "a___b" -> loop runs twice -> "a_b" + alias2 = registry.register("a---b") + assert alias2 == "a_b" + + # With dots separating parts, where one part has consecutive invalid chars + # "ns.col@@name" -> parts: ["ns", "col__name"] -> ["ns", "col_name"] + alias3 = registry.register("ns.col@@name") + assert alias3 == "col_name" diff --git a/datajunction-server/tests/construction/build_v3/build_v3_test.py b/datajunction-server/tests/construction/build_v3/build_v3_test.py new file mode 100644 index 000000000..910cd68a4 --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/build_v3_test.py @@ -0,0 +1,454 @@ +""" +Tests for Build V3 SQL generation. + +These tests cover: +- Chunk 1: Minimal Measures SQL (no joins) +- Chunk 2: Dimension Joins +- Chunk 3: Multiple Metrics +""" + +import pytest +from datajunction_server.construction.build_v3.builder import ( + setup_build_context, +) + +from . import assert_sql_equal, get_first_grain_group + + +class TestInnerCTEFlattening: + """ + Tests for flattening inner CTEs within transforms. + + When a transform has its own WITH clause (inner CTEs), those CTEs need to be + extracted and prefixed to avoid name collisions in the final query. + """ + + @pytest.mark.asyncio + async def test_transform_with_inner_cte(self, client_with_build_v3): + """ + Test that transforms with inner CTEs have those CTEs flattened and prefixed. + + Creates: + - A transform with an inner CTE: WITH order_totals AS (...) SELECT ... + - A metric on that transform + + The generated SQL should have: + - v3_transform_with_cte__order_totals AS (...) -- prefixed inner CTE + - v3_transform_with_cte AS (SELECT ... FROM v3_transform_with_cte__order_totals) + """ + # Create a transform that has an inner CTE + transform_response = await client_with_build_v3.post( + "/nodes/transform", + json={ + "name": "v3.transform_with_cte", + "type": "transform", + "description": "Transform with inner CTE for testing CTE flattening", + "query": """ + WITH order_totals AS ( + SELECT + o.order_id, + o.customer_id, + SUM(oi.quantity * oi.unit_price) AS total_amount + FROM v3.src_orders o + JOIN v3.src_order_items oi ON o.order_id = oi.order_id + GROUP BY o.order_id, o.customer_id + ) + SELECT + customer_id, + COUNT(*) AS order_count, + SUM(total_amount) AS total_spent + FROM order_totals + GROUP BY customer_id + """, + "mode": "published", + }, + ) + assert transform_response.status_code == 201, transform_response.json() + + # Create a metric on the transform + metric_response = await client_with_build_v3.post( + "/nodes/metric", + json={ + "name": "v3.total_customer_spend", + "type": "metric", + "description": "Total spend across all customers", + "query": "SELECT SUM(total_spent) FROM v3.transform_with_cte", + "mode": "published", + }, + ) + assert metric_response.status_code == 201, metric_response.json() + + # Request the measures SQL + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_customer_spend"], + "dimensions": [], + }, + ) + + assert response.status_code == 200, response.json() + data = get_first_grain_group(response.json()) + sql = data["sql"] + assert_sql_equal( + sql, + """ + WITH v3_transform_with_cte__order_totals AS ( + SELECT + o.order_id, + o.customer_id, + SUM(oi.quantity * oi.unit_price) AS total_amount + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + GROUP BY o.order_id, o.customer_id + ), + v3_transform_with_cte AS ( + SELECT + SUM(total_amount) AS total_spent + FROM v3_transform_with_cte__order_totals order_totals + GROUP BY customer_id + ) + SELECT SUM(t1.total_spent) total_spent_sum_c9824762 + FROM v3_transform_with_cte t1 + """, + ) + + @pytest.mark.asyncio + async def test_transform_with_multiple_inner_ctes(self, client_with_build_v3): + """ + Test that transforms with multiple inner CTEs have all of them flattened. + """ + # Create a transform with multiple inner CTEs + # Note: Use full CTE names as table aliases to avoid DJ validation issues + transform_response = await client_with_build_v3.post( + "/nodes/transform", + json={ + "name": "v3.transform_multi_cte", + "type": "transform", + "description": "Transform with multiple inner CTEs", + "query": """ + WITH + order_counts AS ( + SELECT src.customer_id, COUNT(*) AS num_orders + FROM v3.src_orders src + GROUP BY src.customer_id + ), + item_totals AS ( + SELECT items.order_id, SUM(items.quantity) AS total_items + FROM v3.src_order_items items + GROUP BY items.order_id + ) + SELECT + order_counts.customer_id, + order_counts.num_orders, + SUM(item_totals.total_items) AS total_items_purchased + FROM order_counts + JOIN v3.src_orders o ON order_counts.customer_id = o.customer_id + JOIN item_totals ON o.order_id = item_totals.order_id + GROUP BY order_counts.customer_id, order_counts.num_orders + """, + "mode": "published", + }, + ) + assert transform_response.status_code == 201, transform_response.json() + + # Create a metric + metric_response = await client_with_build_v3.post( + "/nodes/metric", + json={ + "name": "v3.avg_items_per_customer", + "type": "metric", + "description": "Average items purchased per customer", + "query": "SELECT AVG(total_items_purchased) FROM v3.transform_multi_cte", + "mode": "published", + }, + ) + assert metric_response.status_code == 201, metric_response.json() + + # Request the measures SQL + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.avg_items_per_customer"], + "dimensions": [], + }, + ) + + assert response.status_code == 200, response.json() + data = get_first_grain_group(response.json()) + sql = data["sql"] + + # Verify both inner CTEs are flattened with prefix + assert "v3_transform_multi_cte__order_counts" in sql, ( + f"First inner CTE should be prefixed. Got:\n{sql}" + ) + assert "v3_transform_multi_cte__item_totals" in sql, ( + f"Second inner CTE should be prefixed. Got:\n{sql}" + ) + + # Verify only one WITH clause + with_count = sql.upper().count("WITH") + assert with_count == 1, ( + f"Should have only one WITH clause, found {with_count}. Got:\n{sql}" + ) + + +class TestMaterialization: + """Tests for materialization support - using physical tables instead of CTEs.""" + + @pytest.mark.asyncio + async def test_materialized_transform_uses_physical_table( + self, + client_with_build_v3, + ): + """ + Test that a materialized transform uses the physical table instead of CTE. + + Setup: + 1. Add availability state to v3.order_details transform + 2. Generate SQL for a metric using that transform + 3. Verify the SQL references the materialized table, not a CTE + """ + # Add availability state to the order_details transform + response = await client_with_build_v3.post( + "/data/v3.order_details/availability/", + json={ + "catalog": "analytics", + "schema_": "warehouse", + "table": "order_details_materialized", + "valid_through_ts": 9999999999, + }, + ) + assert response.status_code == 200, response.json() + + # Now generate SQL - should use materialized table + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + + # Get the SQL + assert len(data["grain_groups"]) == 1 + sql = data["grain_groups"][0]["sql"] + + # The SQL should reference the materialized table directly + # NOT have a CTE for v3_order_details + assert "analytics.warehouse.order_details_materialized" in sql + assert "v3_order_details AS" not in sql, ( + "Should not have CTE for materialized transform" + ) + + @pytest.mark.asyncio + async def test_non_materialized_transform_uses_cte( + self, + client_with_build_v3, + ): + """ + Test that a non-materialized transform uses CTE as usual. + + v3.page_views_enriched has no materialization, so it should + generate a CTE. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.page_view_count"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + + # Get the SQL + assert len(data["grain_groups"]) == 1 + sql = data["grain_groups"][0]["sql"] + + # Should have CTE for page_views_enriched + assert "v3_page_views_enriched AS" in sql + + @pytest.mark.asyncio + async def test_materialized_dimension_uses_physical_table( + self, + client_with_build_v3, + ): + """ + Test that a materialized dimension uses physical table in joins. + """ + # Add availability to the product dimension + response = await client_with_build_v3.post( + "/data/v3.product/availability/", + json={ + "catalog": "analytics", + "schema_": "dim", + "table": "product_dim", + "valid_through_ts": 9999999999, + }, + ) + assert response.status_code == 200, response.json() + + # Generate SQL that joins to product dimension + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + + sql = data["grain_groups"][0]["sql"] + assert_sql_equal( + sql, + """ + WITH v3_order_details AS ( + SELECT + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT + t2.category, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN analytics.dim.product_dim t2 ON t1.product_id = t2.product_id + GROUP BY + t2.category + """, + ) + + @pytest.mark.asyncio + async def test_use_materialized_false_ignores_materialization( + self, + client_with_build_v3, + ): + """ + Test that when building SQL for materialization itself, + we don't use the materialized table (would cause circular reference). + + This tests the use_materialized=False flag. + """ + # First materialize order_details + response = await client_with_build_v3.post( + "/data/v3.order_details/availability/", + json={ + "catalog": "analytics", + "schema_": "warehouse", + "table": "order_details_mat", + "valid_through_ts": 9999999999, + }, + ) + assert response.status_code == 200 + + # Generate SQL with use_materialized=False + # This would be used when generating SQL to refresh the materialization + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "use_materialized": "false", # Query param as string + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + + sql = data["grain_groups"][0]["sql"] + + # Should have CTE for order_details (not use materialized table) + assert "v3_order_details AS" in sql + # Should NOT reference the materialized table + assert "order_details_mat" not in sql + + +@pytest.mark.asyncio +class TestAddDimensionsFromMetricExpressions: + """Test auto-detection of dimensions from metric expressions.""" + + async def test_adds_dimension_from_metric_expression_when_not_requested( + self, + client_with_build_v3, + session, + ): + """ + When a metric uses a dimension in ORDER BY (e.g., LAG) but the user + doesn't request it and it's not in required_dimensions, the dimension + should be auto-added to ctx.dimensions. + """ + # Create a derived metric without required_dimensions set + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.test_wow_no_required_dims", + "description": "WoW metric without required_dimensions", + "query": """ + SELECT + (v3.total_revenue - LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.week_code)) + / NULLIF(LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.week_code), 0) * 100 + """, + "mode": "published", + }, + ) + assert response.status_code == 201, response.json() + + # Query the metric without requesting the week dimension + # The dimension should be auto-added from the metric expression + ctx = await setup_build_context( + session=session, + metrics=["v3.test_wow_no_required_dims"], + dimensions=["v3.product.category"], # Only request category, not week + ) + + # The week dimension should have been auto-added + assert any("week_code" in dim for dim in ctx.dimensions), ( + f"Expected week_code to be auto-added, got: {ctx.dimensions}" + ) + + async def test_dimension_not_added_when_already_covered( + self, + client_with_build_v3, + session, + ): + """ + When a metric uses a dimension that's already covered by a user-requested + dimension (same node.column), it should NOT be added again. + """ + # Create a metric that uses v3.date.week in ORDER BY + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.test_wow_week_plain", + "description": "WoW metric using plain week reference", + "query": """ + SELECT + (v3.total_revenue - LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.week)) + / NULLIF(LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.week), 0) * 100 + """, + "mode": "published", + }, + ) + assert response.status_code == 201, response.json() + + # Request the same dimension with a role - v3.date.week[order] + # The metric expression uses v3.date.week (no role) + # These should be treated as "covered" (same node.column) + ctx = await setup_build_context( + session=session, + metrics=["v3.test_wow_week_plain"], + dimensions=["v3.date.week[order]"], # Requested WITH role + ) + + # Should only have one week dimension, not two + week_dims = [d for d in ctx.dimensions if "week" in d] + assert len(week_dims) == 1, ( + f"Expected only one week dimension, got: {week_dims}" + ) diff --git a/datajunction-server/tests/construction/build_v3/combiners_test.py b/datajunction-server/tests/construction/build_v3/combiners_test.py new file mode 100644 index 000000000..d9faa272a --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/combiners_test.py @@ -0,0 +1,2137 @@ +""" +Tests for the combiners module. + +These tests verify that grain groups can be correctly combined using +FULL OUTER JOIN with COALESCE on shared dimensions. +""" + +import pytest +from sqlalchemy import select +from sqlalchemy.orm import selectinload + +from . import assert_sql_equal + +from datajunction_server.construction.build_v3.combiners import ( + _build_grain_group_from_preagg_table, + _compute_preagg_table_name, + _reorder_partition_column_last, + build_combiner_sql, + build_combiner_sql_from_preaggs, + validate_grain_groups_compatible, + CombinedGrainGroupResult, +) +from datajunction_server.construction.build_v3.utils import ( + _build_join_criteria, +) +from datajunction_server.construction.build_v3.types import ( + GrainGroupSQL, + ColumnMetadata, +) +from datajunction_server.models.query import V3ColumnMetadata +from datajunction_server.database.availabilitystate import AvailabilityState +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.partition import Partition +from datajunction_server.database.preaggregation import ( + PreAggregation, + compute_grain_group_hash, + compute_expression_hash, +) +from datajunction_server.models.decompose import ( + Aggregability, + AggregationRule, + MetricComponent, + PreAggMeasure, +) +from datajunction_server.models.partition import PartitionType, Granularity +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse as parse_sql + + +def _create_grain_group( + sql: str, + columns: list[dict], + grain: list[str], + parent_name: str = "test_node", + metrics: list[str] | None = None, + components: list[MetricComponent] | None = None, +) -> GrainGroupSQL: + """ + Helper to create a GrainGroupSQL from SQL string and column definitions. + """ + query = parse_sql(sql) + + col_metadata = [ + ColumnMetadata( + name=col["name"], + semantic_name=col.get("semantic_name", col["name"]), + type=col.get("type", "string"), + semantic_type=col.get("semantic_type", "dimension"), + ) + for col in columns + ] + + return GrainGroupSQL( + query=query, + columns=col_metadata, + grain=grain, + aggregability=Aggregability.FULL, + metrics=metrics or [], + parent_name=parent_name, + components=components or [], + ) + + +class TestBuildCombinerSql: + """Tests for build_combiner_sql function.""" + + def test_single_grain_group_returns_unchanged(self): + """ + Single grain group should return unchanged (no JOIN needed). + """ + gg = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS line_total_sum_e1f61696 FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + { + "name": "line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ], + grain=["date_id"], + metrics=["revenue"], + ) + + result = build_combiner_sql([gg]) + + assert result.grain_groups_combined == 1 + assert result.shared_dimensions == ["date_id"] + assert result.all_measures == ["line_total_sum_e1f61696"] + assert len(result.columns) == 2 + + # SQL should be unchanged (no CTEs or JOINs) + assert_sql_equal( + result.sql, + """ + SELECT date_id, SUM(amount) AS line_total_sum_e1f61696 + FROM orders + GROUP BY date_id + """, + ) + + def test_two_grain_groups_full_outer_join(self): + """ + Two grain groups should be combined with FULL OUTER JOIN. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, status, SUM(amount) AS line_total_sum_e1f61696 FROM orders GROUP BY date_id, status", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "status", "semantic_type": "dimension"}, + { + "name": "line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ], + grain=["date_id", "status"], + parent_name="orders", + metrics=["revenue"], + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, status, COUNT(*) AS page_views FROM events GROUP BY date_id, status", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "status", "semantic_type": "dimension"}, + {"name": "page_views", "semantic_type": "metric_component"}, + ], + grain=["date_id", "status"], + parent_name="events", + metrics=["views"], + ) + + result = build_combiner_sql([gg1, gg2]) + + assert result.grain_groups_combined == 2 + assert set(result.shared_dimensions) == {"date_id", "status"} + assert set(result.all_measures) == {"line_total_sum_e1f61696", "page_views"} + + # Verify the SQL structure with FULL OUTER JOIN and COALESCE + # Note: The combiner doesn't use AS for the COALESCE aliases + assert_sql_equal( + result.sql, + """ + WITH + gg1 AS ( + SELECT date_id, status, SUM(amount) AS line_total_sum_e1f61696 + FROM orders + GROUP BY date_id, status + ), + gg2 AS ( + SELECT date_id, status, COUNT(*) AS page_views + FROM events + GROUP BY date_id, status + ) + SELECT + COALESCE(gg1.date_id, gg2.date_id) date_id, + COALESCE(gg1.status, gg2.status) status, + gg1.line_total_sum_e1f61696, + gg2.page_views + FROM gg1 + FULL OUTER JOIN gg2 + ON gg1.date_id = gg2.date_id AND gg1.status = gg2.status + """, + ) + + def test_three_grain_groups_chained_joins(self): + """ + Three grain groups should produce chained FULL OUTER JOINs. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, SUM(revenue) AS revenue FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "revenue", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="orders", + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, COUNT(*) AS views FROM events GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "views", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="events", + ) + + gg3 = _create_grain_group( + sql="SELECT date_id, SUM(clicks) AS clicks FROM clicks GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "clicks", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="clicks", + ) + + result = build_combiner_sql([gg1, gg2, gg3]) + + assert result.grain_groups_combined == 3 + assert result.shared_dimensions == ["date_id"] + assert set(result.all_measures) == {"revenue", "views", "clicks"} + + # Should have 2 FULL OUTER JOINs for 3 tables + assert_sql_equal( + result.sql, + """ + WITH + gg1 AS ( + SELECT date_id, SUM(revenue) AS revenue + FROM orders + GROUP BY date_id + ), + gg2 AS ( + SELECT date_id, COUNT(*) AS views + FROM events + GROUP BY date_id + ), + gg3 AS ( + SELECT date_id, SUM(clicks) AS clicks + FROM clicks + GROUP BY date_id + ) + SELECT + COALESCE(gg1.date_id, gg2.date_id, gg3.date_id) date_id, + gg1.revenue, + gg2.views, + gg3.clicks + FROM gg1 + FULL OUTER JOIN gg2 ON gg1.date_id = gg2.date_id + FULL OUTER JOIN gg3 ON gg1.date_id = gg3.date_id + """, + ) + + def test_coalesce_on_all_shared_dimensions(self): + """ + COALESCE should be applied to all shared dimension columns. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, region, SUM(amount) AS amount FROM orders GROUP BY date_id, region", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "region", "semantic_type": "dimension"}, + {"name": "amount", "semantic_type": "metric_component"}, + ], + grain=["date_id", "region"], + parent_name="orders", + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, region, COUNT(*) AS count FROM events GROUP BY date_id, region", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "region", "semantic_type": "dimension"}, + {"name": "count", "semantic_type": "metric_component"}, + ], + grain=["date_id", "region"], + parent_name="events", + ) + + result = build_combiner_sql([gg1, gg2]) + + # Both dimension columns should be COALESCEd + assert_sql_equal( + result.sql, + """ + WITH + gg1 AS ( + SELECT date_id, region, SUM(amount) AS amount + FROM orders + GROUP BY date_id, region + ), + gg2 AS ( + SELECT date_id, region, COUNT(*) AS count + FROM events + GROUP BY date_id, region + ) + SELECT + COALESCE(gg1.date_id, gg2.date_id) date_id, + COALESCE(gg1.region, gg2.region) region, + gg1.amount, + gg2.count + FROM gg1 + FULL OUTER JOIN gg2 + ON gg1.date_id = gg2.date_id AND gg1.region = gg2.region + """, + ) + + def test_custom_output_table_names(self): + """ + Custom output table names should be used as CTE aliases. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS amount FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "amount", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, COUNT(*) AS count FROM events GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "count", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + ) + + result = build_combiner_sql( + [gg1, gg2], + output_table_names=["orders_preagg", "events_preagg"], + ) + + # Custom CTE names should be used + assert_sql_equal( + result.sql, + """ + WITH + orders_preagg AS ( + SELECT date_id, SUM(amount) AS amount + FROM orders + GROUP BY date_id + ), + events_preagg AS ( + SELECT date_id, COUNT(*) AS count + FROM events + GROUP BY date_id + ) + SELECT + COALESCE(orders_preagg.date_id, events_preagg.date_id) date_id, + orders_preagg.amount, + events_preagg.count + FROM orders_preagg + FULL OUTER JOIN events_preagg + ON orders_preagg.date_id = events_preagg.date_id + """, + ) + + def test_output_columns_metadata(self): + """ + Output column metadata should include all dimensions and measures. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS revenue FROM orders GROUP BY date_id", + columns=[ + { + "name": "date_id", + "semantic_name": "v3.date_dim.date_id", + "type": "int", + "semantic_type": "dimension", + }, + { + "name": "revenue", + "semantic_name": "v3.total_revenue", + "type": "double", + "semantic_type": "metric_component", + }, + ], + grain=["date_id"], + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, COUNT(*) AS orders FROM orders GROUP BY date_id", + columns=[ + { + "name": "date_id", + "semantic_name": "v3.date_dim.date_id", + "type": "int", + "semantic_type": "dimension", + }, + { + "name": "orders", + "semantic_name": "v3.order_count", + "type": "bigint", + "semantic_type": "metric_component", + }, + ], + grain=["date_id"], + ) + + result = build_combiner_sql([gg1, gg2]) + + # Check column metadata + column_names = [col.name for col in result.columns] + assert "date_id" in column_names + assert "revenue" in column_names + assert "orders" in column_names + + # Check semantic info is preserved + date_col = next(c for c in result.columns if c.name == "date_id") + assert date_col.semantic_name == "v3.date_dim.date_id" + assert date_col.semantic_type == "dimension" + + # Verify SQL is correct + assert_sql_equal( + result.sql, + """ + WITH + gg1 AS ( + SELECT date_id, SUM(amount) AS revenue + FROM orders + GROUP BY date_id + ), + gg2 AS ( + SELECT date_id, COUNT(*) AS orders + FROM orders + GROUP BY date_id + ) + SELECT + COALESCE(gg1.date_id, gg2.date_id) date_id, + gg1.revenue, + gg2.orders + FROM gg1 + FULL OUTER JOIN gg2 + ON gg1.date_id = gg2.date_id + """, + ) + + def test_empty_grain_groups_raises_error(self): + """ + Empty grain groups list should raise ValueError. + """ + with pytest.raises(ValueError, match="[Aa]t least one grain group"): + build_combiner_sql([]) + + +class TestValidateGrainGroupsCompatible: + """Tests for validate_grain_groups_compatible function.""" + + def test_single_grain_group_always_valid(self): + """ + Single grain group is always valid. + """ + gg = _create_grain_group( + sql="SELECT date_id, SUM(amount) FROM orders GROUP BY date_id", + columns=[{"name": "date_id"}], + grain=["date_id"], + ) + + is_valid, error = validate_grain_groups_compatible([gg]) + assert is_valid is True + assert error is None + + def test_matching_grains_are_compatible(self): + """ + Grain groups with matching grain columns are compatible. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, status, SUM(a) FROM t1 GROUP BY date_id, status", + columns=[{"name": "date_id"}, {"name": "status"}], + grain=["date_id", "status"], + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, status, COUNT(*) FROM t2 GROUP BY date_id, status", + columns=[{"name": "date_id"}, {"name": "status"}], + grain=["date_id", "status"], # Same grain, different order is OK + ) + + is_valid, error = validate_grain_groups_compatible([gg1, gg2]) + assert is_valid is True + assert error is None + + def test_different_grains_are_incompatible(self): + """ + Grain groups with different grain columns are incompatible. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, SUM(a) FROM t1 GROUP BY date_id", + columns=[{"name": "date_id"}], + grain=["date_id"], + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, status, COUNT(*) FROM t2 GROUP BY date_id, status", + columns=[{"name": "date_id"}, {"name": "status"}], + grain=["date_id", "status"], # Different grain - more columns + ) + + is_valid, error = validate_grain_groups_compatible([gg1, gg2]) + assert is_valid is False + assert "different grain" in error.lower() + + def test_empty_list_is_invalid(self): + """ + Empty grain groups list is invalid. + """ + is_valid, error = validate_grain_groups_compatible([]) + assert is_valid is False + assert "no grain groups" in error.lower() + + +class TestCombinedGrainGroupResult: + """Tests for CombinedGrainGroupResult dataclass.""" + + def test_sql_property(self): + """ + The sql property should render the query AST to string. + """ + query = parse_sql("SELECT a, b FROM table1") + + result = CombinedGrainGroupResult( + query=query, + columns=[], + grain_groups_combined=1, + shared_dimensions=["a"], + all_measures=["b"], + ) + + # sql property should return string + assert isinstance(result.sql, str) + assert_sql_equal( + result.sql, + "SELECT a, b FROM table1", + ) + + +class TestCombinerSqlValidity: + """Tests that verify the combined SQL is valid and parseable.""" + + def test_combined_sql_is_parseable(self): + """ + The combined SQL should be valid and parseable. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS revenue FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "revenue", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, COUNT(*) AS order_count FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + { + "name": "order_id_count_78d2e5eb", + "semantic_type": "metric_component", + }, + ], + grain=["date_id"], + ) + + result = build_combiner_sql([gg1, gg2]) + + # Should be able to parse the result + parsed = parse_sql(result.sql) + assert parsed is not None + assert parsed.select is not None + + # Verify exact SQL structure + assert_sql_equal( + result.sql, + """ + WITH + gg1 AS ( + SELECT date_id, SUM(amount) AS revenue + FROM orders + GROUP BY date_id + ), + gg2 AS ( + SELECT date_id, COUNT(*) AS order_count + FROM orders + GROUP BY date_id + ) + SELECT + COALESCE(gg1.date_id, gg2.date_id) date_id, + gg1.revenue, + gg2.order_id_count_78d2e5eb + FROM gg1 + FULL OUTER JOIN gg2 + ON gg1.date_id = gg2.date_id + """, + ) + + def test_join_on_clause_correct(self): + """ + The JOIN ON clause should reference the correct grain columns. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, region, SUM(amount) AS amount FROM orders GROUP BY date_id, region", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "region", "semantic_type": "dimension"}, + {"name": "amount", "semantic_type": "metric_component"}, + ], + grain=["date_id", "region"], + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, region, COUNT(*) AS count FROM events GROUP BY date_id, region", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "region", "semantic_type": "dimension"}, + {"name": "count", "semantic_type": "metric_component"}, + ], + grain=["date_id", "region"], + ) + + result = build_combiner_sql([gg1, gg2]) + + # Should have JOIN ON with both grain columns + assert_sql_equal( + result.sql, + """ + WITH + gg1 AS ( + SELECT date_id, region, SUM(amount) AS amount + FROM orders + GROUP BY date_id, region + ), + gg2 AS ( + SELECT date_id, region, COUNT(*) AS count + FROM events + GROUP BY date_id, region + ) + SELECT + COALESCE(gg1.date_id, gg2.date_id) date_id, + COALESCE(gg1.region, gg2.region) region, + gg1.amount, + gg2.count + FROM gg1 + FULL OUTER JOIN gg2 + ON gg1.date_id = gg2.date_id AND gg1.region = gg2.region + """, + ) + + +class TestDifferentGrainGroups: + """Tests for handling grain groups with different grains (lines 163-169).""" + + def test_different_grains_use_intersection(self): + """ + Grain groups with different grains should use intersection for JOIN. + + This tests lines 163-169 where a warning is logged and the intersection + of grains is used. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, customer_id, SUM(amount) AS revenue FROM orders GROUP BY date_id, customer_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "customer_id", "semantic_type": "dimension"}, + {"name": "revenue", "semantic_type": "metric_component"}, + ], + grain=["date_id", "customer_id"], + parent_name="orders", + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, region, COUNT(*) AS views FROM events GROUP BY date_id, region", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "region", "semantic_type": "dimension"}, + {"name": "views", "semantic_type": "metric_component"}, + ], + grain=["date_id", "region"], # Different grain - only date_id is shared + parent_name="events", + ) + + result = build_combiner_sql([gg1, gg2]) + + # Should use intersection of grains (just date_id) + assert result.shared_dimensions == ["date_id"] + assert result.grain_groups_combined == 2 + + # JOIN should only be on date_id + assert_sql_equal( + result.sql, + """ + WITH + gg1 AS ( + SELECT date_id, customer_id, SUM(amount) AS revenue + FROM orders + GROUP BY date_id, customer_id + ), + gg2 AS ( + SELECT date_id, region, COUNT(*) AS views + FROM events + GROUP BY date_id, region + ) + SELECT + COALESCE(gg1.date_id, gg2.date_id) date_id, + gg1.revenue, + gg2.views + FROM gg1 + FULL OUTER JOIN gg2 + ON gg1.date_id = gg2.date_id + """, + ) + + +class TestCartesianJoin: + """Tests for cartesian join when no grain columns (line 381).""" + + def test_empty_grain_produces_cartesian_join(self): + """ + When grain groups have no shared grain columns, JOIN uses TRUE (cartesian). + + This tests line 381 where an empty grain produces ast.Boolean(True). + """ + left = ast.Table(name=ast.Name("left_table")) + right = ast.Table(name=ast.Name("right_table")) + + result = _build_join_criteria(left, right, grain_columns=[]) + + assert isinstance(result, ast.Boolean) + assert result.value is True + + def test_grain_groups_with_no_shared_grain(self): + """ + Grain groups with completely different grains produce cartesian join. + """ + gg1 = _create_grain_group( + sql="SELECT customer_id, SUM(amount) AS revenue FROM orders GROUP BY customer_id", + columns=[ + {"name": "customer_id", "semantic_type": "dimension"}, + {"name": "revenue", "semantic_type": "metric_component"}, + ], + grain=["customer_id"], + parent_name="orders", + ) + + gg2 = _create_grain_group( + sql="SELECT region, COUNT(*) AS views FROM events GROUP BY region", + columns=[ + {"name": "region", "semantic_type": "dimension"}, + {"name": "views", "semantic_type": "metric_component"}, + ], + grain=["region"], # No overlap with customer_id + parent_name="events", + ) + + result = build_combiner_sql([gg1, gg2]) + + # No shared dimensions + assert result.shared_dimensions == [] + + # Should have TRUE in JOIN condition (cartesian) + assert "true" in result.sql.lower() or "TRUE" in result.sql + + +class TestDuplicateMeasures: + """Tests for deduplication of measures (lines 310, 415, 439).""" + + def test_duplicate_measure_names_deduplicated(self): + """ + Same measure name in multiple grain groups should only appear once. + + This tests line 310 (seen_measures deduplication). + """ + gg1 = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS revenue FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "revenue", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="orders", + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS revenue FROM returns GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "revenue", "semantic_type": "metric_component"}, # Same name! + ], + grain=["date_id"], + parent_name="returns", + ) + + result = build_combiner_sql([gg1, gg2]) + + # Revenue should only appear once in all_measures + assert result.all_measures.count("revenue") == 1 + assert result.all_measures == ["revenue"] + + # Only one revenue column in output + revenue_cols = [c for c in result.columns if c.name == "revenue"] + assert len(revenue_cols) == 1 + + +class TestMissingColumnMetadata: + """Tests for missing column metadata edge cases (lines 418, 442 branches).""" + + def test_grain_column_not_in_columns_metadata(self): + """ + Grain column not in columns metadata should be skipped gracefully. + + This tests line 418 branch where col_meta is None for a grain column. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, extra_dim, SUM(amount) AS revenue FROM orders GROUP BY date_id, extra_dim", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + # extra_dim is NOT in columns metadata but IS in grain + {"name": "revenue", "semantic_type": "metric_component"}, + ], + grain=["date_id", "extra_dim"], # extra_dim won't have metadata + parent_name="orders", + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, extra_dim, COUNT(*) AS views FROM events GROUP BY date_id, extra_dim", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "views", "semantic_type": "metric_component"}, + ], + grain=["date_id", "extra_dim"], + parent_name="events", + ) + + result = build_combiner_sql([gg1, gg2]) + + # Should still produce valid SQL + assert result.grain_groups_combined == 2 + + # date_id should be in output columns (has metadata) + date_cols = [c for c in result.columns if c.name == "date_id"] + assert len(date_cols) == 1 + + # extra_dim should be skipped (no metadata) + extra_cols = [c for c in result.columns if c.name == "extra_dim"] + assert len(extra_cols) == 0 + + def test_measure_not_in_any_columns_metadata(self): + """ + Measure not in any columns metadata should be skipped. + + This tests line 442 branch where col_meta is None for a measure. + """ + gg1 = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS revenue, SUM(cost) AS cost FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "revenue", "semantic_type": "metric_component"}, + # cost measure has semantic_type that doesn't match "metric_component" + {"name": "cost", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="orders", + ) + + result = build_combiner_sql([gg1]) + + # Both measures should be found + assert "revenue" in result.all_measures + assert "cost" in result.all_measures + + +class TestSingleGrainGroupSemanticTypes: + """Tests for single grain group with various semantic types (line 119).""" + + def test_single_grain_group_with_metric_semantic_type(self): + """ + Single grain group with semantic_type="metric" should be handled. + + This tests line 119 branch for "metric" semantic_type. + """ + gg = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS total_revenue FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + { + "name": "line_total_sum_e1f61696", + "semantic_type": "metric", + }, # "metric" not "metric_component" + ], + grain=["date_id"], + metrics=["revenue"], + ) + + result = build_combiner_sql([gg]) + + assert result.grain_groups_combined == 1 + assert "line_total_sum_e1f61696" in result.all_measures + + def test_single_grain_group_with_measure_semantic_type(self): + """ + Single grain group with semantic_type="measure" should be handled. + + This tests line 119 branch for "measure" semantic_type. + """ + gg = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS total FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "total", "semantic_type": "measure"}, # "measure" type + ], + grain=["date_id"], + ) + + result = build_combiner_sql([gg]) + + assert result.grain_groups_combined == 1 + assert "total" in result.all_measures + + def test_single_grain_group_with_metric_input_type(self): + """ + Single grain group with semantic_type="metric_input" should be dimension. + + This tests line 117 branch for "metric_input" semantic_type. + """ + gg = _create_grain_group( + sql="SELECT date_id, user_id, SUM(amount) AS total FROM orders GROUP BY date_id, user_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + { + "name": "user_id", + "semantic_type": "metric_input", + }, # For COUNT DISTINCT + {"name": "total", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + ) + + result = build_combiner_sql([gg]) + + assert result.grain_groups_combined == 1 + # metric_input should NOT be in measures + assert "user_id" not in result.all_measures + # It's treated as dimension + assert "total" in result.all_measures + + +class TestPreAggTableFunctions: + """Tests for pre-aggregation table functions (lines 501-502, 654-722).""" + + def test_compute_preagg_table_name(self): + """ + Test the _compute_preagg_table_name function (lines 501-502). + """ + result = _compute_preagg_table_name("v3.order_details", "abc123def456") + + assert result == "v3_order_details_preagg_abc123de" + assert "_preagg_" in result + assert result.startswith("v3_order_details") + + def test_compute_preagg_table_name_replaces_dots(self): + """ + Dots in parent name should be replaced with underscores. + """ + result = _compute_preagg_table_name("catalog.schema.table", "hash12345678") + + assert "." not in result.split("_preagg_")[0] + assert result == "catalog_schema_table_preagg_hash1234" + + def test_build_grain_group_from_preagg_table(self): + """ + Test _build_grain_group_from_preagg_table function (lines 654-722). + """ + # Create a grain group with components + component = MetricComponent( + name="revenue_sum", + expression="amount", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ) + + gg = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS revenue_sum FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "revenue_sum", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="orders", + components=[component], + ) + + result = _build_grain_group_from_preagg_table( + gg, + "catalog.schema.orders_preagg_abc12345", + ) + + # Should generate SQL reading from pre-agg table with re-aggregation + sql = str(result.query) + + # Should reference the pre-agg table + assert "catalog.schema.orders_preagg_abc12345" in sql + + # Should have GROUP BY + assert "GROUP BY" in sql.upper() + + # Should have re-aggregation with merge function (SUM) + assert "SUM(" in sql.upper() + + # Grain should be preserved + assert result.grain == ["date_id"] + + def test_build_grain_group_from_preagg_table_no_merge_function(self): + """ + Measures without merge function should be selected directly. + """ + # Create a grain group WITHOUT components (no merge function) + gg = _create_grain_group( + sql="SELECT date_id, raw_value FROM source GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "raw_value", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="source", + components=[], # No components = no merge function + ) + + result = _build_grain_group_from_preagg_table( + gg, + "catalog.schema.source_preagg", + ) + + sql = str(result.query) + + # Should still generate valid SQL + assert "catalog.schema.source_preagg" in sql + assert "date_id" in sql + + +class TestBuildCombinerSqlFromPreaggs: + """Integration tests for build_combiner_sql_from_preaggs (lines 544-632).""" + + @pytest.mark.asyncio + async def test_build_combiner_sql_from_preaggs_no_grain_groups( + self, + session, + client_with_build_v3, + ): + """ + Should raise ValueError when no grain groups are generated. + + This tests line 556-557. + """ + # Use a metric that doesn't exist + with pytest.raises(Exception): + await build_combiner_sql_from_preaggs( + session=session, + metrics=["nonexistent.metric"], + dimensions=["v3.order_details.status"], + ) + + @pytest.mark.asyncio + async def test_build_combiner_sql_from_preaggs_basic( + self, + session, + client_with_build_v3, + ): + """ + Test basic pre-agg SQL generation flow. + """ + # This should work with existing v3 metrics + result, table_refs, temporal_info = await build_combiner_sql_from_preaggs( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.order_details.status"], + ) + + # Should produce a result + assert result is not None + assert result.grain_groups_combined >= 1 + + # Should have pre-agg table references + assert len(table_refs) >= 1 + for ref in table_refs: + assert "_preagg_" in ref + + # SQL should reference the pre-agg tables + assert result.sql is not None + + @pytest.mark.asyncio + async def test_build_combiner_sql_from_preaggs_with_existing_preagg( + self, + session, + client_with_build_v3, + ): + """ + Test pre-agg SQL generation when PreAggregation records exist. + + This tests lines 585-596 (temporal partition extraction) and 628-630. + """ + # Get the order_details node to find its revision ID + # Need to eagerly load current and columns for async context + stmt = ( + select(Node) + .where(Node.name == "v3.order_details") + .options(selectinload(Node.current).selectinload(NodeRevision.columns)) + ) + result = await session.execute(stmt) + order_details_node = result.scalar_one_or_none() + assert order_details_node is not None + assert order_details_node.current is not None + + node_revision_id = order_details_node.current.id + + # Compute the grain_group_hash that build_combiner_sql_from_preaggs will use + # It uses fully qualified dimension refs + grain_columns = ["v3.order_details.status"] + grain_hash = compute_grain_group_hash(node_revision_id, grain_columns) + + # Create a temporal partition on the order_date column + order_date_col = None + for col in order_details_node.current.columns: + if col.name == "order_date": + order_date_col = col + break + + if order_date_col: + # Add temporal partition to the column + partition = Partition( + column_id=order_date_col.id, + type_=PartitionType.TEMPORAL, + granularity=Granularity.DAY, + format="yyyyMMdd", + ) + session.add(partition) + await session.flush() + order_date_col.partition = partition + + # Create an availability state + avail = AvailabilityState( + catalog="default", + schema_="v3", + table="order_details_preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + # Create a PreAggregation record with matching grain_group_hash + preagg = PreAggregation( + node_revision_id=node_revision_id, + grain_columns=grain_columns, + measures=[ + PreAggMeasure( + name="line_total_sum", + expression="line_total", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type="full"), + expr_hash=compute_expression_hash("line_total"), + ), + ], + sql="SELECT status, SUM(line_total) AS line_total_sum FROM v3.order_details GROUP BY status", + grain_group_hash=grain_hash, + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + # Now call build_combiner_sql_from_preaggs + result, table_refs, temporal_info = await build_combiner_sql_from_preaggs( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.order_details.status"], + ) + + # Should produce a result + assert result is not None + assert result.grain_groups_combined >= 1 + + # Should have pre-agg table references + assert len(table_refs) >= 1 + + # If temporal partition was set up, temporal_info should be populated + # (depends on whether order_date is in grain_columns or linked dimension) + # The key test is that lines 585-596 are executed + + +class TestCombinedMeasuresSQLEndpoint: + """Tests for the /sql/measures/v3/combined endpoint.""" + + @pytest.mark.asyncio + async def test_single_metric_single_dimension(self, client_with_build_v3): + """ + Test the simplest case: one metric, one dimension. + Returns combined SQL even for single grain group. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Validate response structure + assert "sql" in data + assert "columns" in data + assert "grain" in data + assert "grain_groups_combined" in data + assert "dialect" in data + assert "use_preagg_tables" in data + assert "source_tables" in data + + # Should have 1 grain group combined (single metric) + assert data["grain_groups_combined"] == 1 + assert data["use_preagg_tables"] is False + assert "v3.order_details" in data["source_tables"] + + # Validate columns + column_names = [col["name"] for col in data["columns"]] + assert "status" in column_names + assert "line_total_sum_e1f61696" in column_names + + # Validate grain + assert "status" in data["grain"] + + # Validate SQL structure - single grain group returns the query unchanged + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + @pytest.mark.asyncio + async def test_multiple_metrics_same_grain_group(self, client_with_build_v3): + """ + Test multiple metrics from the same grain group. + Should produce a single combined grain group. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Both metrics are from order_details with FULL aggregability + # Should be merged into 1 grain group + assert data["grain_groups_combined"] == 1 + + # Should have both measures + column_names = [col["name"] for col in data["columns"]] + assert "line_total_sum_e1f61696" in column_names + assert "quantity_sum_06b64d2e" in column_names + + # Validate SQL structure + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696, SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + @pytest.mark.asyncio + async def test_cross_fact_metrics_combined(self, client_with_build_v3): + """ + Test metrics from different fact tables. + Should combine multiple grain groups with FULL OUTER JOIN. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue", "v3.page_view_count"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Metrics are from different facts (order_details and page_views_enriched) + # Should have 2 grain groups combined + assert data["grain_groups_combined"] == 2 + + # Should have measures from both grain groups + column_names = [col["name"] for col in data["columns"]] + assert "line_total_sum_e1f61696" in column_names + assert "view_id_count_f41e2db4" in column_names + + # Should have the shared dimension + assert "category" in data["grain"] + + # Validate SQL structure with CTEs and FULL OUTER JOIN + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT view_id, + product_id + FROM default.v3.page_views + ), + gg1 AS ( + SELECT t2.category, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + ), + gg2 AS ( + SELECT t2.category, + COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + ) + + SELECT COALESCE(gg1.category, gg2.category) category, + gg1.line_total_sum_e1f61696, + gg2.view_id_count_f41e2db4 + FROM gg1 FULL OUTER JOIN gg2 ON gg1.category = gg2.category + """, + ) + + @pytest.mark.asyncio + async def test_multiple_dimensions(self, client_with_build_v3): + """ + Test with multiple dimensions. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status", "v3.customer.name"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Should have both dimensions in grain + assert len(data["grain"]) == 2 + + # Both dimension columns should be in output + column_names = [col["name"] for col in data["columns"]] + assert "status" in column_names + assert "name" in column_names + + @pytest.mark.asyncio + async def test_no_dimensions_global_aggregation(self, client_with_build_v3): + """ + Test with no dimensions (global aggregation). + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": [], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Should have empty grain (global aggregation) + assert data["grain"] == [] + + # Should still have the measures + column_names = [col["name"] for col in data["columns"]] + assert "line_total_sum_e1f61696" in column_names + assert "quantity_sum_06b64d2e" in column_names + + # Validate SQL - no GROUP BY when no dimensions + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT oi.quantity, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT SUM(t1.line_total) line_total_sum_e1f61696, SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + """, + ) + + @pytest.mark.asyncio + async def test_empty_metrics_raises_error(self, client_with_build_v3): + """ + Test that empty metrics list raises an error. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": [], + "dimensions": ["v3.order_details.status"], + }, + ) + + # Should return an error + assert response.status_code >= 400 + + @pytest.mark.asyncio + async def test_nonexistent_metric_raises_error(self, client_with_build_v3): + """ + Test that nonexistent metric raises an error. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["nonexistent.metric"], + "dimensions": ["v3.order_details.status"], + }, + ) + + # Should return an error + assert response.status_code >= 400 + assert "not found" in response.text.lower() + + @pytest.mark.asyncio + async def test_column_metadata_types(self, client_with_build_v3): + """ + Test that column metadata includes correct semantic types. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Find the dimension column + dim_cols = [c for c in data["columns"] if c["name"] == "status"] + assert len(dim_cols) == 1 + assert dim_cols[0]["semantic_type"] == "dimension" + assert dim_cols[0]["semantic_entity"] == "v3.order_details.status" + + # Find the measure column + measure_cols = [ + c for c in data["columns"] if c["name"] == "line_total_sum_e1f61696" + ] + assert len(measure_cols) == 1 + # Measures come through as metric_component in the combined output + assert measure_cols[0]["semantic_type"] in ("metric", "metric_component") + assert ( + measure_cols[0]["semantic_entity"] + == "v3.total_revenue:line_total_sum_e1f61696" + ) + + @pytest.mark.asyncio + async def test_source_tables_populated(self, client_with_build_v3): + """ + Test that source_tables is correctly populated. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue", "v3.page_view_count"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Should have source tables from both facts + assert len(data["source_tables"]) == 2 + source_tables_str = " ".join(data["source_tables"]) + assert "order_details" in source_tables_str + assert "page_views" in source_tables_str + + @pytest.mark.asyncio + async def test_dialect_parameter(self, client_with_build_v3): + """ + Test that dialect parameter is respected. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "dialect": "spark", + }, + ) + + assert response.status_code == 200 + data = response.json() + + assert data["dialect"] == "spark" + + @pytest.mark.asyncio + async def test_with_filters(self, client_with_build_v3): + """ + Test combined SQL with filters. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "filters": ["v3.order_details.status = 'active'"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Validate SQL with WHERE clause for the filter + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + WHERE t1.status = 'active' + GROUP BY t1.status + """, + ) + + +class TestUnknownSemanticType: + """Tests for unknown semantic types (line 119->116).""" + + def test_unknown_semantic_type_ignored(self): + """ + Columns with unknown semantic_type should be ignored (not in dimensions or measures). + + This tests the fallthrough case in lines 116-120. + """ + gg = _create_grain_group( + sql="SELECT date_id, mystery_col, SUM(amount) AS revenue FROM orders GROUP BY date_id, mystery_col", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + { + "name": "mystery_col", + "semantic_type": "unknown_type", + }, # Unknown type + {"name": "revenue", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + metrics=["revenue"], + ) + + result = build_combiner_sql([gg]) + + # mystery_col with unknown type should NOT be in measures + assert "mystery_col" not in result.all_measures + # Only revenue should be a measure + assert result.all_measures == ["revenue"] + + +class TestDuplicateColumns: + """Tests for duplicate column handling (lines 415, 439).""" + + def test_duplicate_grain_columns_in_shared_grain(self): + """ + Duplicate grain columns should be skipped (line 415). + """ + # Create grain groups where shared_grain might have duplicates + # This can happen with edge cases in grain intersection + gg1 = _create_grain_group( + sql="SELECT date_id, date_id as date_id2, SUM(amount) AS revenue FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "revenue", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="orders", + ) + + gg2 = _create_grain_group( + sql="SELECT date_id, COUNT(*) AS views FROM events GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "views", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="events", + ) + + result = build_combiner_sql([gg1, gg2]) + + # date_id should only appear once in output columns + date_cols = [c for c in result.columns if c.name == "date_id"] + assert len(date_cols) == 1 + + +class TestMeasureMetadataNotFound: + """Tests for missing measure metadata (line 442->437).""" + + def test_measure_without_metadata_skipped(self): + """ + Measures that don't exist in any grain group's columns should be skipped. + + This tests the branch at line 442 where col_meta is None. + """ + # Create a grain group where the measure in projection doesn't match columns + gg = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS revenue FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + # Note: "revenue" is NOT in columns, but semantic_type filter won't find it + {"name": "other_measure", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + ) + + result = build_combiner_sql([gg]) + + # Should still produce valid result + assert result is not None + # other_measure should be in measures + assert "other_measure" in result.all_measures + + +class TestComponentAliasLookup: + """Tests for component alias lookup (line 674->673).""" + + def test_component_found_by_alias(self): + """ + Component should be found by alias when direct name doesn't match. + + This tests line 674 branch where component_aliases lookup succeeds. + """ + component = MetricComponent( + name="internal_name", # Internal name doesn't match column + expression="amount", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ) + + # Create grain group with component_aliases mapping + gg = _create_grain_group( + sql="SELECT date_id, SUM(amount) AS revenue_sum FROM orders GROUP BY date_id", + columns=[ + {"name": "date_id", "semantic_type": "dimension"}, + {"name": "revenue_sum", "semantic_type": "metric_component"}, + ], + grain=["date_id"], + parent_name="orders", + components=[component], + ) + # Manually set component_aliases to test the alias lookup path + gg.component_aliases = {"internal_name": "revenue_sum"} + + result = _build_grain_group_from_preagg_table( + gg, + "catalog.schema.orders_preagg", + ) + + sql = str(result.query) + + # Should have re-aggregation with SUM (found via alias) + assert "SUM(" in sql.upper() + assert "revenue_sum" in sql.lower() + + +class TestReorderPartitionColumnLast: + """ + Tests for _reorder_partition_column_last function. + + This function ensures columns are ordered correctly for Hive/Spark + INSERT OVERWRITE ... PARTITION (col) syntax, where the partition + column must be last. + """ + + def _create_combined_result( + self, + sql: str, + columns: list[tuple[str, str]], # (name, semantic_type) + shared_dimensions: list[str], + all_measures: list[str] | None = None, + ) -> CombinedGrainGroupResult: + """Helper to create a CombinedGrainGroupResult from SQL and columns.""" + query = parse_sql(sql) + col_metadata = [ + V3ColumnMetadata( + name=name, + type="string", + semantic_name=f"test.{name}", + semantic_type=sem_type, + ) + for name, sem_type in columns + ] + return CombinedGrainGroupResult( + query=query, + columns=col_metadata, + grain_groups_combined=1, + shared_dimensions=shared_dimensions, + all_measures=all_measures or [], + ) + + def test_partition_column_moved_to_end(self): + """Partition column should be moved to the end of projections and columns.""" + result = self._create_combined_result( + sql="SELECT dateint, country, SUM(revenue) AS revenue FROM t GROUP BY dateint, country", + columns=[ + ("dateint", "dimension"), + ("country", "dimension"), + ("revenue", "metric_component"), + ], + shared_dimensions=["dateint", "country"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Column metadata should have dateint last + assert [c.name for c in reordered.columns] == ["country", "revenue", "dateint"] + + # Projections should have dateint last + proj_names = [ + p.alias_or_name.name if hasattr(p, "alias_or_name") else p.name.name + for p in reordered.query.select.projection + ] + assert proj_names == ["country", "revenue", "dateint"] + + # shared_dimensions should have dateint last + assert reordered.shared_dimensions == ["country", "dateint"] + + def test_partition_column_already_last(self): + """If partition column is already last, no reordering needed.""" + result = self._create_combined_result( + sql="SELECT country, revenue, dateint FROM t", + columns=[ + ("country", "dimension"), + ("revenue", "metric_component"), + ("dateint", "dimension"), + ], + shared_dimensions=["country", "dateint"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Should remain in same order + assert [c.name for c in reordered.columns] == ["country", "revenue", "dateint"] + assert reordered.shared_dimensions == ["country", "dateint"] + + def test_partition_column_not_in_result(self): + """If partition column doesn't exist, no changes should be made.""" + result = self._create_combined_result( + sql="SELECT country, revenue FROM t", + columns=[ + ("country", "dimension"), + ("revenue", "metric_component"), + ], + shared_dimensions=["country"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Should remain unchanged + assert [c.name for c in reordered.columns] == ["country", "revenue"] + assert reordered.shared_dimensions == ["country"] + + def test_partition_not_in_shared_dimensions(self): + """If partition column exists but not in shared_dimensions.""" + result = self._create_combined_result( + sql="SELECT dateint, country, revenue FROM t", + columns=[ + ("dateint", "dimension"), + ("country", "dimension"), + ("revenue", "metric_component"), + ], + shared_dimensions=["country"], # dateint not in shared_dimensions + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Column metadata and projections should still be reordered + assert [c.name for c in reordered.columns] == ["country", "revenue", "dateint"] + + # shared_dimensions should remain unchanged (dateint wasn't in it) + assert reordered.shared_dimensions == ["country"] + + def test_single_column_is_partition(self): + """Single column that is also partition column.""" + result = self._create_combined_result( + sql="SELECT dateint FROM t", + columns=[("dateint", "dimension")], + shared_dimensions=["dateint"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Should remain as single column + assert [c.name for c in reordered.columns] == ["dateint"] + assert reordered.shared_dimensions == ["dateint"] + + def test_multiple_measures_with_partition(self): + """Multiple measure columns with partition column.""" + result = self._create_combined_result( + sql="SELECT dateint, country, SUM(revenue) AS revenue, COUNT(*) AS cnt FROM t GROUP BY dateint, country", + columns=[ + ("dateint", "dimension"), + ("country", "dimension"), + ("revenue", "metric_component"), + ("cnt", "metric_component"), + ], + shared_dimensions=["dateint", "country"], + all_measures=["revenue", "cnt"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # dateint should be at end + assert reordered.columns[-1].name == "dateint" + assert reordered.shared_dimensions[-1] == "dateint" + + def test_with_aliased_columns(self): + """Columns with aliases should work correctly.""" + result = self._create_combined_result( + sql="SELECT d.dateint AS date_id, c.name AS country_name, SUM(o.amt) AS total FROM t", + columns=[ + ("date_id", "dimension"), + ("country_name", "dimension"), + ("total", "metric_component"), + ], + shared_dimensions=["date_id", "country_name"], + ) + + reordered = _reorder_partition_column_last(result, "date_id") + + # date_id should be at end + assert [c.name for c in reordered.columns] == [ + "country_name", + "total", + "date_id", + ] + assert reordered.shared_dimensions == ["country_name", "date_id"] + + def test_with_function_projections(self): + """Projections that are functions should work correctly.""" + result = self._create_combined_result( + sql="SELECT dateint, country, SUM(revenue) AS total_revenue, COUNT(DISTINCT user_id) AS unique_users FROM t GROUP BY dateint, country", + columns=[ + ("dateint", "dimension"), + ("country", "dimension"), + ("total_revenue", "metric_component"), + ("unique_users", "metric_component"), + ], + shared_dimensions=["dateint", "country"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # All columns should be present with dateint last + col_names = [c.name for c in reordered.columns] + assert col_names[-1] == "dateint" + assert set(col_names) == {"dateint", "country", "total_revenue", "unique_users"} + + def test_preserves_other_fields(self): + """Other fields like measure_components and component_aliases should be preserved.""" + query = parse_sql("SELECT dateint, country, revenue FROM t") + col_metadata = [ + V3ColumnMetadata( + name="dateint", + type="int", + semantic_name="test.dateint", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="country", + type="string", + semantic_name="test.country", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="revenue", + type="double", + semantic_name="test.revenue", + semantic_type="metric_component", + ), + ] + components = [ + MetricComponent( + name="revenue_sum", + expression="revenue", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(), + ), + ] + result = CombinedGrainGroupResult( + query=query, + columns=col_metadata, + grain_groups_combined=3, + shared_dimensions=["dateint", "country"], + all_measures=["revenue"], + measure_components=components, + component_aliases={"revenue_sum": "revenue"}, + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Other fields should be preserved + assert reordered.grain_groups_combined == 3 + assert reordered.all_measures == ["revenue"] + assert reordered.measure_components == components + assert reordered.component_aliases == {"revenue_sum": "revenue"} + + def test_columns_synced_to_projection_order(self): + """Column metadata should be synced to match projection order before reordering.""" + # Create a result where column metadata order differs from projection order + query = parse_sql( + "SELECT country, dateint, revenue FROM t", + ) # projection: country, dateint, revenue + col_metadata = [ + # Intentionally different order than projection + V3ColumnMetadata( + name="revenue", + type="double", + semantic_name="test.revenue", + semantic_type="metric_component", + ), + V3ColumnMetadata( + name="dateint", + type="int", + semantic_name="test.dateint", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="country", + type="string", + semantic_name="test.country", + semantic_type="dimension", + ), + ] + result = CombinedGrainGroupResult( + query=query, + columns=col_metadata, + grain_groups_combined=1, + shared_dimensions=["dateint", "country"], + all_measures=["revenue"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Column metadata should be synced to projection order, + # then dateint moved to end + # Projection: country, revenue, dateint (after reorder) + # So columns should be: country, revenue, dateint + assert [c.name for c in reordered.columns] == ["country", "revenue", "dateint"] + + def test_partition_in_middle_of_many_columns(self): + """Partition column in middle of many columns.""" + result = self._create_combined_result( + sql="SELECT a, b, dateint, c, d, e FROM t", + columns=[ + ("a", "dimension"), + ("b", "dimension"), + ("dateint", "dimension"), + ("c", "metric_component"), + ("d", "metric_component"), + ("e", "metric_component"), + ], + shared_dimensions=["a", "b", "dateint"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # dateint should be last + col_names = [c.name for c in reordered.columns] + assert col_names[-1] == "dateint" + # All others should precede dateint + assert col_names[:-1] == ["a", "b", "c", "d", "e"] + + # shared_dimensions should have dateint last + assert reordered.shared_dimensions == ["a", "b", "dateint"] + + def test_with_named_function_no_alias(self): + """Test with a function projection that is Named but not Aliasable. + + Note: In practice, most functions in SELECT are wrapped in Alias nodes + when they have "AS" syntax. This test verifies the Named branch handling + for bare function calls. + """ + # Using COUNT(*) which creates a Named function + # Note: The SQL parser typically wraps this in Alias, but we test + # the helper's Named handling explicitly + query = parse_sql( + "SELECT dateint, country, COUNT(*) FROM t GROUP BY dateint, country", + ) + + # Manually check that projection includes function + projections = query.select.projection + assert len(projections) == 3 + + # Create result with columns that include a function-named column + col_metadata = [ + V3ColumnMetadata( + name="dateint", + type="int", + semantic_name="test.dateint", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="country", + type="string", + semantic_name="test.country", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="count", # Name comes from function name + type="bigint", + semantic_name="test.count", + semantic_type="metric_component", + ), + ] + + result = CombinedGrainGroupResult( + query=query, + columns=col_metadata, + grain_groups_combined=1, + shared_dimensions=["dateint", "country"], + all_measures=["count"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # dateint should be moved to end + col_names = [c.name for c in reordered.columns] + assert col_names[-1] == "dateint" + + def test_projection_with_unrecognized_type(self): + """Test handling of projection types that are neither Aliasable nor Named. + + This tests the None return path in _get_projection_name helper. + Most AST nodes fall into Aliasable or Named, but we ensure graceful handling. + """ + result = self._create_combined_result( + sql="SELECT dateint, country, 42 AS literal_val FROM t", # Literal value + columns=[ + ("dateint", "dimension"), + ("country", "dimension"), + ("literal_val", "metric_component"), + ], + shared_dimensions=["dateint", "country"], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Should still work - dateint moved to end + assert reordered.columns[-1].name == "dateint" + assert reordered.shared_dimensions[-1] == "dateint" + + def test_projection_bare_expression_not_aliasable(self): + """Test handling when a projection cannot be identified. + + Creates a scenario with a Number literal (not Aliasable, not Named) + to exercise the None return path in _get_projection_name. + """ + # Parse SQL with a bare number (no alias) + query = parse_sql("SELECT dateint, country, 42 FROM t") + + # Verify that the third projection is NOT Aliasable (it's a Number) + projs = query.select.projection + assert len(projs) == 3 + # Numbers are literals, not Aliasable or Named + third_proj = projs[2] + assert not isinstance(third_proj, ast.Aliasable) + assert not isinstance(third_proj, ast.Named) + + # Create result - note the bare 42 won't match any column name + col_metadata = [ + V3ColumnMetadata( + name="dateint", + type="int", + semantic_name="test.dateint", + semantic_type="dimension", + ), + V3ColumnMetadata( + name="country", + type="string", + semantic_name="test.country", + semantic_type="dimension", + ), + # The "42" column won't be in projection names since Number returns None + ] + + result = CombinedGrainGroupResult( + query=query, + columns=col_metadata, + grain_groups_combined=1, + shared_dimensions=["dateint", "country"], + all_measures=[], + ) + + reordered = _reorder_partition_column_last(result, "dateint") + + # Should still work - dateint moved to end + # The None from bare number projection is filtered out + assert reordered.columns[-1].name == "dateint" + assert reordered.shared_dimensions == ["country", "dateint"] diff --git a/datajunction-server/tests/construction/build_v3/cte_test.py b/datajunction-server/tests/construction/build_v3/cte_test.py new file mode 100644 index 000000000..9f35a9e4b --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/cte_test.py @@ -0,0 +1,324 @@ +"""Tests for cte.py - CTE building and AST transformation utilities.""" + +from datajunction_server.construction.build_v3.cte import ( + get_column_full_name, + inject_partition_by_into_windows, + replace_metric_refs_in_ast, +) +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse + + +class TestGetColumnFullName: + """Tests for get_column_full_name function.""" + + def test_simple_table_column(self): + """Column with table prefix returns full dotted name.""" + query = parse("SELECT t.column_name FROM t") + col = list(query.find_all(ast.Column))[0] + + result = get_column_full_name(col) + + assert result == "t.column_name" + + def test_namespaced_table_column(self): + """Column with namespaced table returns full path.""" + query = parse("SELECT v3.order_details.status FROM v3.order_details") + col = list(query.find_all(ast.Column))[0] + + result = get_column_full_name(col) + + assert result == "v3.order_details.status" + + def test_metric_reference_style(self): + """Metric-style reference (namespace.metric) returns full name.""" + query = parse("SELECT v3.total_revenue / v3.order_count") + cols = list(query.find_all(ast.Column)) + + # Should find both metric references + names = [get_column_full_name(col) for col in cols] + + assert "v3.total_revenue" in names + assert "v3.order_count" in names + + +class TestReplaceMetricRefsInAst: + """Tests for replace_metric_refs_in_ast function.""" + + def test_replaces_matching_metric_references(self): + """Should replace metric name references with CTE column references.""" + # Parse a query that looks like a derived metric combiner expression + query = parse("SELECT v3.total_revenue / NULLIF(v3.order_count, 0)") + expr = query.select.projection[0] + + metric_aliases = { + "v3.total_revenue": ("order_details_0", "line_total_sum_e1f61696"), + "v3.order_count": ("order_details_0", "order_id_count_78d2e5eb"), + } + + replace_metric_refs_in_ast(expr, metric_aliases) + + # Check that columns were replaced with CTE references + result_sql = str(expr) + assert "order_details_0.line_total_sum_e1f61696" in result_sql + assert "order_details_0.order_id_count_78d2e5eb" in result_sql + # Original references should be gone + assert "v3.total_revenue" not in result_sql + assert "v3.order_count" not in result_sql + + def test_only_replaces_matching_columns(self): + """Should only replace columns that match metric_aliases keys.""" + query = parse("SELECT v3.total_revenue + some_other_column") + expr = query.select.projection[0] + + metric_aliases = { + "v3.total_revenue": ("cte_0", "revenue"), + } + + replace_metric_refs_in_ast(expr, metric_aliases) + + result_sql = str(expr) + # Matching column replaced + assert "cte_0.revenue" in result_sql + # Non-matching column unchanged + assert "some_other_column" in result_sql + + def test_empty_metric_aliases_no_changes(self): + """Empty metric_aliases should not modify the AST.""" + query = parse("SELECT v3.total_revenue / v3.order_count") + expr = query.select.projection[0] + original_sql = str(expr) + + replace_metric_refs_in_ast(expr, {}) + + assert str(expr) == original_sql + + def test_handles_nested_expressions(self): + """Should find and replace columns in nested expressions.""" + # Complex expression with nested functions + query = parse( + "SELECT CAST(v3.order_count AS DOUBLE) / NULLIF(v3.visitor_count, 0)", + ) + expr = query.select.projection[0] + + metric_aliases = { + "v3.order_count": ("orders_0", "order_id_count_78d2e5eb"), + "v3.visitor_count": ("visitors_0", "visitor_id_hll_1c4f5e47"), + } + + replace_metric_refs_in_ast(expr, metric_aliases) + + result_sql = str(expr) + assert "orders_0.order_id_count_78d2e5eb" in result_sql + assert "visitors_0.visitor_id_hll_1c4f5e47" in result_sql + + def test_handles_multiple_references_same_metric(self): + """Should replace all occurrences of the same metric reference.""" + query = parse("SELECT v3.revenue + v3.revenue * 0.1") + expr = query.select.projection[0] + + metric_aliases = { + "v3.revenue": ("cte_0", "line_total_sum_e1f61696"), + } + + replace_metric_refs_in_ast(expr, metric_aliases) + + result_sql = str(expr) + # Both occurrences should be replaced + assert result_sql.count("cte_0.line_total_sum_e1f61696") == 2 + assert "v3.revenue" not in result_sql + + +class TestInjectPartitionByIntoWindows: + """Tests for inject_partition_by_into_windows function.""" + + def test_injects_partition_by_for_lag_window(self): + """LAG window function gets PARTITION BY with non-ORDER-BY dimensions.""" + # WoW metric expression: LAG(revenue, 1) OVER (ORDER BY week) + query = parse("SELECT LAG(revenue, 1) OVER (ORDER BY week)") + expr = query.select.projection[0] + + # Requested dimensions: category, country, week + # week is in ORDER BY, so PARTITION BY should have: category, country + inject_partition_by_into_windows(expr, ["category", "country", "week"]) + + result_sql = str(expr) + assert "PARTITION BY category, country" in result_sql + assert "ORDER BY week" in result_sql + + def test_injects_partition_by_excludes_order_by_dimension(self): + """ORDER BY dimension should not be in PARTITION BY.""" + query = parse("SELECT LAG(total, 1) OVER (ORDER BY month)") + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["category", "month", "year"]) + + result_sql = str(expr) + # month is in ORDER BY, so should NOT be in PARTITION BY + assert "PARTITION BY category, year" in result_sql + assert "ORDER BY month" in result_sql + + def test_does_not_modify_window_with_existing_partition_by(self): + """Should not override existing PARTITION BY clause.""" + query = parse( + "SELECT LAG(revenue, 1) OVER (PARTITION BY region ORDER BY week)", + ) + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["category", "country", "week"]) + + result_sql = str(expr) + # Original PARTITION BY should be preserved + assert "PARTITION BY region" in result_sql + # Should NOT have the injected dimensions + assert "category" not in result_sql + + def test_handles_multiple_window_functions(self): + """Should inject PARTITION BY into multiple window functions.""" + # MoM and WoW in the same expression + query = parse( + "SELECT " + "(revenue - LAG(revenue, 1) OVER (ORDER BY week)) / " + "NULLIF(LAG(revenue, 1) OVER (ORDER BY week), 0)", + ) + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["category", "week"]) + + result_sql = str(expr) + # Both LAG functions should get PARTITION BY category + assert result_sql.count("PARTITION BY category") == 2 + + def test_handles_no_window_functions(self): + """Expression without window functions should not be modified.""" + query = parse("SELECT revenue / NULLIF(orders, 0)") + expr = query.select.projection[0] + original_sql = str(expr) + + inject_partition_by_into_windows(expr, ["category", "week"]) + + assert str(expr) == original_sql + + def test_handles_empty_dimension_list(self): + """Empty dimension list should not add PARTITION BY.""" + query = parse("SELECT LAG(revenue, 1) OVER (ORDER BY week)") + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, []) + + result_sql = str(expr) + # No PARTITION BY should be added + assert "PARTITION BY" not in result_sql + assert "ORDER BY week" in result_sql + + def test_handles_all_dimensions_in_order_by(self): + """If all dimensions are in ORDER BY, no PARTITION BY added.""" + query = parse("SELECT LAG(revenue, 1) OVER (ORDER BY week)") + expr = query.select.projection[0] + + # Only dimension is week, which is in ORDER BY + inject_partition_by_into_windows(expr, ["week"]) + + result_sql = str(expr) + # No PARTITION BY because all dimensions are in ORDER BY + assert "PARTITION BY" not in result_sql + + def test_real_wow_metric_expression(self): + """Test with realistic week-over-week metric expression.""" + query = parse( + "SELECT " + "(SUM(total_revenue) - LAG(SUM(total_revenue), 1) OVER (ORDER BY week)) " + "/ NULLIF(LAG(SUM(total_revenue), 1) OVER (ORDER BY week), 0) * 100", + ) + expr = query.select.projection[0] + + # Typical dimensions for WoW: category (non-time), week (time) + inject_partition_by_into_windows(expr, ["category", "week"]) + + result_sql = str(expr) + # Both LAG windows should get PARTITION BY category + assert result_sql.count("PARTITION BY category") == 2 + # week should remain in ORDER BY + assert "ORDER BY week" in result_sql + + def test_aggregate_window_not_modified(self): + """Aggregate window functions (SUM OVER) should NOT get PARTITION BY injected.""" + # This is the weighted CPM pattern - grand total for weighting + query = parse("SELECT impressions / NULLIF(SUM(impressions) OVER (), 0)") + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["category", "country"]) + + result_sql = str(expr) + # SUM OVER () should remain empty - no PARTITION BY injection + assert "PARTITION BY" not in result_sql + assert "SUM(impressions) OVER ()" in result_sql + + def test_weighted_cpm_pattern(self): + """Test weighted CPM pattern with grand total weight.""" + # Weighted CPM = (revenue / impressions) * (impressions / SUM(impressions) OVER ()) + query = parse( + "SELECT " + "(revenue / NULLIF(impressions / 1000.0, 0)) " + "* (impressions / NULLIF(SUM(impressions) OVER (), 0))", + ) + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["category", "country"]) + + result_sql = str(expr) + # SUM OVER () should NOT get PARTITION BY - it's computing grand total + assert "SUM(impressions) OVER ()" in result_sql + assert "PARTITION BY" not in result_sql + + def test_mixed_lag_and_aggregate_window(self): + """LAG should get PARTITION BY, but SUM OVER () should not.""" + query = parse( + "SELECT LAG(revenue, 1) OVER (ORDER BY week) + SUM(revenue) OVER ()", + ) + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["category", "week"]) + + result_sql = str(expr) + # LAG should get PARTITION BY category (week is in ORDER BY) + assert "LAG(revenue, 1) OVER (" in result_sql + assert "PARTITION BY category" in result_sql + # SUM OVER () should remain empty + assert "SUM(revenue) OVER ()" in result_sql + + def test_rank_gets_partition_by(self): + """RANK window function should get PARTITION BY injection.""" + query = parse("SELECT RANK() OVER (ORDER BY revenue DESC)") + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["category", "country"]) + + result_sql = str(expr) + # RANK should get PARTITION BY + assert "PARTITION BY" in result_sql + assert "category" in result_sql + assert "country" in result_sql + + def test_row_number_gets_partition_by(self): + """ROW_NUMBER window function should get PARTITION BY injection.""" + query = parse("SELECT ROW_NUMBER() OVER (ORDER BY created_at)") + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["user_id"]) + + result_sql = str(expr) + # ROW_NUMBER should get PARTITION BY + assert "PARTITION BY user_id" in result_sql + + def test_avg_over_not_modified(self): + """AVG OVER () should not get PARTITION BY injected.""" + query = parse("SELECT value / NULLIF(AVG(value) OVER (), 0)") + expr = query.select.projection[0] + + inject_partition_by_into_windows(expr, ["category"]) + + result_sql = str(expr) + # AVG OVER () should remain empty + assert "AVG(value) OVER ()" in result_sql + assert "PARTITION BY" not in result_sql diff --git a/datajunction-server/tests/construction/build_v3/cube_matcher_test.py b/datajunction-server/tests/construction/build_v3/cube_matcher_test.py new file mode 100644 index 000000000..79eefaf51 --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/cube_matcher_test.py @@ -0,0 +1,2331 @@ +""" +Tests for cube_matcher module using the BUILD_V3 example data. + +These tests create actual cubes via the API and test the cube matching +and SQL generation functions with real database queries rather than mocks. + +Uses function-scoped sessions for test isolation. +""" + +import time + +import pytest + +from datajunction_server.construction.build_v3.cube_matcher import ( + build_sql_from_cube, + build_synthetic_grain_group, + find_matching_cube, +) +from datajunction_server.construction.build_v3.decomposition import ( + decompose_and_group_metrics, +) +from datajunction_server.construction.build_v3.loaders import load_nodes +from datajunction_server.construction.build_v3.types import BuildContext +from datajunction_server.models.decompose import Aggregability +from datajunction_server.models.dialect import Dialect + +from tests.construction.build_v3 import assert_sql_equal + + +class TestFindMatchingCube: + """Tests for find_matching_cube""" + + @pytest.mark.asyncio + async def test_returns_none_when_no_metrics_requested( + self, + session, + ): + """Should return None when no metrics are requested.""" + result = await find_matching_cube( + session, + metrics=[], + dimensions=["v3.product.category"], + ) + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_when_no_cubes_exist_for_metric( + self, + client_with_build_v3, + session, + ): + """Should return None when no cubes contain the requested metric.""" + result = await find_matching_cube( + session, + metrics=["v3.page_view_count"], # No cube has this metric + dimensions=["v3.product.category"], + ) + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_for_nonexistent_metric( + self, + session, + ): + """Should return None for metrics that don't exist.""" + result = await find_matching_cube( + session, + metrics=["v3.nonexistent_metric"], + dimensions=[], + ) + assert result is None + + # -------------------------------------------- + # Tests for find_matching_cube with cubes that have availability set + # -------------------------------------------- + + @pytest.mark.asyncio + async def test_finds_cube_with_availability( + self, + client_with_build_v3, + session, + ): + """Should find cube that has availability state set.""" + # Create a cube + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_with_avail", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube with availability", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_with_avail/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_with_avail", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Now find the cube + result = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + + assert result is not None + assert result.name == "v3.test_cube_with_avail" + assert result.availability is not None + + @pytest.mark.asyncio + async def test_skips_cube_without_availability( + self, + client_with_build_v3, + session, + ): + """Should skip cubes that don't have availability set (default behavior).""" + # Create a cube WITHOUT availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_no_avail", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube without availability", + }, + ) + assert response.status_code == 201, response.json() + + # Don't set availability - cube should NOT be found with default require_availability=True + result = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + + assert result is None + + @pytest.mark.asyncio + async def test_finds_cube_without_availability_when_not_required( + self, + client_with_build_v3, + session, + ): + """Should find cubes without availability when require_availability=False.""" + # Create a cube WITHOUT availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_no_avail_optional", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube without availability (optional check)", + }, + ) + assert response.status_code == 201, response.json() + + # Don't set availability - cube SHOULD be found with require_availability=False + result = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + require_availability=False, + ) + + assert result is not None + assert result.name == "v3.test_cube_no_avail_optional" + assert result.availability is None + + @pytest.mark.asyncio + async def test_require_availability_true_is_default( + self, + client_with_build_v3, + session, + ): + """Should require availability by default (backward compatibility).""" + # Create a cube WITHOUT availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_default_check", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test default require_availability behavior", + }, + ) + assert response.status_code == 201, response.json() + + # Calling without the parameter should skip cubes without availability + result = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + # Not passing require_availability - should default to True + ) + + assert result is None + + @pytest.mark.asyncio + async def test_empty_dimensions_finds_cube( + self, + client_with_build_v3, + session, + ): + """Should find cube even with empty dimensions list (global aggregation).""" + # Create cube + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_empty_dims", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube for empty dimensions query", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_empty_dims/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_empty_dims", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Query with empty dimensions - should still find the cube + result = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=[], + ) + + assert result is not None + assert result.name == "v3.test_cube_empty_dims" + + # -------------------------------------------- + # Tests for dimension coverage in cube matching. + # -------------------------------------------- + + @pytest.mark.asyncio + async def test_cube_must_cover_all_requested_dimensions( + self, + client_with_build_v3, + session, + ): + """Should return None if no cube covers all requested dimensions.""" + # Create cube with only one dimension + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_single_dim", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Cube with single dimension", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_single_dim/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_single_dim", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Query with dimension not in cube - should NOT find + result = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=[ + "v3.product.category", + "v3.product.name", # Not in the cube + ], + ) + assert result is None + + @pytest.mark.asyncio + async def test_cube_with_superset_dimensions_is_found( + self, + client_with_build_v3, + session, + ): + """Should find cube that has superset of requested dimensions.""" + # Create cube with multiple dimensions + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_multi_dim", + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.product.category", + "v3.product.subcategory", + ], + "mode": "published", + "description": "Cube with multiple dimensions", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_multi_dim/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_multi_dim", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Query with subset of cube's dimensions - should find (roll-up possible) + result = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], # Subset of cube dims + ) + + assert result is not None + assert result.name == "v3.test_cube_multi_dim" + + # -------------------------------------------- + # Tests for metric coverage in cube matching. + # -------------------------------------------- + + @pytest.mark.asyncio + async def test_cube_must_contain_all_requested_metrics( + self, + client_with_build_v3, + session, + ): + """Should return None if no available cube contains all requested metrics.""" + # Create cube with only one metric + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_one_metric", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Cube with one metric", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_one_metric/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_one_metric", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Query with two metrics - cube only has one + result = await find_matching_cube( + session, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + ) + + # Should NOT find since cube doesn't have total_quantity + assert result is None + + @pytest.mark.asyncio + async def test_cube_with_multiple_metrics_is_found( + self, + client_with_build_v3, + session, + ): + """Should find cube that contains all requested metrics.""" + # Create cube with multiple metrics + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_multi_metric", + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Cube with multiple metrics", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_multi_metric/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_multi_metric", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Query with both metrics - should find + result = await find_matching_cube( + session, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + ) + + assert result is not None + assert result.name == "v3.test_cube_multi_metric" + + # -------------------------------------------- + # Tests for cube selection preference (smallest grain). + # -------------------------------------------- + + @pytest.mark.asyncio + async def test_prefers_smallest_grain_cube( + self, + client_with_build_v3, + session, + ): + """Should prefer cube with smallest grain (fewer dimensions) for less roll-up.""" + valid_through_ts = int(time.time() * 1000) + + # Create small grain cube + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_small_grain", + "metrics": ["v3.order_count"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Small grain cube", + }, + ) + assert response.status_code == 201, response.json() + + response = await client_with_build_v3.post( + "/data/v3.test_cube_small_grain/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_small_grain", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Create large grain cube + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_large_grain", + "metrics": ["v3.order_count"], + "dimensions": [ + "v3.product.category", + "v3.product.subcategory", + "v3.product.name", + ], + "mode": "published", + "description": "Large grain cube", + }, + ) + assert response.status_code == 201, response.json() + + response = await client_with_build_v3.post( + "/data/v3.test_cube_large_grain/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_large_grain", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Query should prefer smaller grain + result = await find_matching_cube( + session, + metrics=["v3.order_count"], + dimensions=["v3.product.category"], + ) + + assert result is not None + assert result.name == "v3.test_cube_small_grain" + + @pytest.mark.asyncio + async def test_uses_larger_grain_when_needed( + self, + client_with_build_v3, + session, + ): + """Should use larger grain cube when smaller one doesn't cover dimensions.""" + valid_through_ts = int(time.time() * 1000) + + # Create small grain cube + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_small", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Small grain cube", + }, + ) + assert response.status_code == 201, response.json() + + response = await client_with_build_v3.post( + "/data/v3.test_cube_small/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_small", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Create large grain cube with additional dimension + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_large", + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.product.category", + "v3.product.subcategory", + ], + "mode": "published", + "description": "Large grain cube", + }, + ) + assert response.status_code == 201, response.json() + + response = await client_with_build_v3.post( + "/data/v3.test_cube_large/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "test_cube_large", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Query with dimension only in large cube + result = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=[ + "v3.product.category", + "v3.product.subcategory", + ], + ) + + assert result is not None + assert result.name == "v3.test_cube_large" + + +class TestBuildSqlFromCube: + """Tests for build_sql_from_cube function.""" + + @pytest.mark.asyncio + async def test_builds_sql_from_cube_single_metric( + self, + client_with_build_v3, + session, + ): + """Should build SQL that queries from cube table for a single metric.""" + # Create a cube with availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_sql_single", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube for SQL generation", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_sql_single/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_single", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Build SQL from the cube + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + ) + + # Verify result structure + assert result is not None + assert result.sql is not None + assert len(result.columns) > 0 + + # Verify SQL structure using assert_sql_equal + expected_sql = """ + WITH test_cube_sql_single_0 AS ( + SELECT + category, + line_total_sum_e1f61696 + FROM default.analytics.cube_single + ) + SELECT + COALESCE(test_cube_sql_single_0.category) AS category, + SUM(test_cube_sql_single_0.line_total_sum_e1f61696) AS total_revenue + FROM test_cube_sql_single_0 + GROUP BY test_cube_sql_single_0.category + """ + assert_sql_equal(result.sql, expected_sql) + + # Verify columns include the metric and dimension + column_names = [col.name for col in result.columns] + assert "category" in column_names + assert "total_revenue" in column_names + + @pytest.mark.asyncio + async def test_builds_sql_from_cube_multiple_metrics( + self, + client_with_build_v3, + session, + ): + """Should build SQL for multiple metrics from a cube.""" + # Create a cube with multiple metrics + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_sql_multi", + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube with multiple metrics", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_sql_multi/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_multi", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Build SQL from the cube + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + ) + + # Verify result structure + assert result is not None + assert result.sql is not None + + # Verify SQL structure using assert_sql_equal + expected_sql = """ + WITH test_cube_sql_multi_0 AS ( + SELECT + category, + line_total_sum_e1f61696, + quantity_sum_06b64d2e + FROM default.analytics.cube_multi + ) + SELECT + COALESCE(test_cube_sql_multi_0.category) AS category, + SUM(test_cube_sql_multi_0.line_total_sum_e1f61696) AS total_revenue, + SUM(test_cube_sql_multi_0.quantity_sum_06b64d2e) AS total_quantity + FROM test_cube_sql_multi_0 + GROUP BY test_cube_sql_multi_0.category + """ + assert_sql_equal(result.sql, expected_sql) + + # Verify columns include both metrics and dimension + column_names = [col.name for col in result.columns] + assert "category" in column_names + assert "total_revenue" in column_names + assert "total_quantity" in column_names + + @pytest.mark.asyncio + async def test_builds_sql_from_cube_with_all_v3_order_details_metrics( + self, + client_with_build_v3, + session, + ): + """Should build SQL for all v3 order_details metrics including derived metrics. + + This includes: + - Base metrics: total_revenue, total_quantity, order_count, customer_count, + avg_unit_price, max_unit_price, min_unit_price + - Derived metrics: avg_order_value, avg_items_per_order, revenue_per_customer, + price_spread_pct + """ + # Base metrics from order_details + base_metrics = [ + "v3.total_revenue", + "v3.total_quantity", + "v3.order_count", + "v3.customer_count", + "v3.avg_unit_price", + "v3.max_unit_price", + "v3.min_unit_price", + ] + # Derived metrics that combine base metrics (same fact ratios) + derived_metrics = [ + "v3.avg_order_value", # total_revenue / order_count + "v3.avg_items_per_order", # total_quantity / order_count + "v3.revenue_per_customer", # total_revenue / customer_count + "v3.price_spread_pct", # (max_unit_price - min_unit_price) / avg_unit_price * 100 + ] + all_metrics = base_metrics + derived_metrics + + # Create a cube with all metrics + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_all_order_metrics", + "metrics": all_metrics, + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube with all order_details metrics including derived", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_all_order_metrics/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_all_order_metrics", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=all_metrics, + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Build SQL from the cube in Spark + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=all_metrics, + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + ) + + assert result is not None + assert result.sql is not None + + expected_sql = """ + WITH test_cube_all_order_metrics_0 AS ( + SELECT + category, + line_total_sum_e1f61696, + quantity_sum_06b64d2e, + order_id_distinct_f93d50ab, + customer_id_hll_23002251, + unit_price_count_55cff00f, + unit_price_sum_55cff00f, + unit_price_max_55cff00f, + unit_price_min_55cff00f + FROM default.analytics.cube_all_order_metrics + ) + SELECT + COALESCE(test_cube_all_order_metrics_0.category) AS category, + SUM(test_cube_all_order_metrics_0.line_total_sum_e1f61696) AS total_revenue, + SUM(test_cube_all_order_metrics_0.quantity_sum_06b64d2e) AS total_quantity, + COUNT( DISTINCT test_cube_all_order_metrics_0.order_id_distinct_f93d50ab) AS order_count, + hll_sketch_estimate(hll_union_agg(test_cube_all_order_metrics_0.customer_id_hll_23002251)) AS customer_count, + SUM(test_cube_all_order_metrics_0.unit_price_sum_55cff00f) / SUM(test_cube_all_order_metrics_0.unit_price_count_55cff00f) AS avg_unit_price, + MAX(test_cube_all_order_metrics_0.unit_price_max_55cff00f) AS max_unit_price, + MIN(test_cube_all_order_metrics_0.unit_price_min_55cff00f) AS min_unit_price, + SUM(test_cube_all_order_metrics_0.line_total_sum_e1f61696) / NULLIF(COUNT( DISTINCT test_cube_all_order_metrics_0.order_id_distinct_f93d50ab), 0) AS avg_order_value, + SUM(test_cube_all_order_metrics_0.quantity_sum_06b64d2e) / NULLIF(COUNT( DISTINCT test_cube_all_order_metrics_0.order_id_distinct_f93d50ab), 0) AS avg_items_per_order, + SUM(test_cube_all_order_metrics_0.line_total_sum_e1f61696) / NULLIF(hll_sketch_estimate(hll_union_agg(test_cube_all_order_metrics_0.customer_id_hll_23002251)), 0) AS revenue_per_customer, + (MAX(test_cube_all_order_metrics_0.unit_price_max_55cff00f) - MIN(test_cube_all_order_metrics_0.unit_price_min_55cff00f)) / NULLIF(SUM(test_cube_all_order_metrics_0.unit_price_sum_55cff00f) / SUM(test_cube_all_order_metrics_0.unit_price_count_55cff00f), 0) * 100 AS price_spread_pct + FROM test_cube_all_order_metrics_0 + GROUP BY + test_cube_all_order_metrics_0.category + """ + assert_sql_equal(result.sql, expected_sql, normalize_aliases=False) + + # Build SQL from the cube in Druid + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=all_metrics, + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.DRUID, + ) + + assert result is not None + assert result.sql is not None + + expected_sql = """ + WITH test_cube_all_order_metrics_0 AS ( + SELECT + category, + line_total_sum_e1f61696, + quantity_sum_06b64d2e, + order_id_distinct_f93d50ab, + customer_id_hll_23002251, + unit_price_count_55cff00f, + unit_price_sum_55cff00f, + unit_price_max_55cff00f, + unit_price_min_55cff00f + FROM default.analytics.cube_all_order_metrics + ) + SELECT + COALESCE(test_cube_all_order_metrics_0.category) AS category, + SUM(test_cube_all_order_metrics_0.line_total_sum_e1f61696) AS total_revenue, + SUM(test_cube_all_order_metrics_0.quantity_sum_06b64d2e) AS total_quantity, + COUNT( DISTINCT test_cube_all_order_metrics_0.order_id_distinct_f93d50ab) AS order_count, + hll_sketch_estimate(ds_hll(test_cube_all_order_metrics_0.customer_id_hll_23002251)) AS customer_count, + SAFE_DIVIDE(SUM(test_cube_all_order_metrics_0.unit_price_sum_55cff00f), SUM(test_cube_all_order_metrics_0.unit_price_count_55cff00f)) AS avg_unit_price, + MAX(test_cube_all_order_metrics_0.unit_price_max_55cff00f) AS max_unit_price, + MIN(test_cube_all_order_metrics_0.unit_price_min_55cff00f) AS min_unit_price, + SAFE_DIVIDE(SUM(test_cube_all_order_metrics_0.line_total_sum_e1f61696), NULLIF(COUNT( DISTINCT test_cube_all_order_metrics_0.order_id_distinct_f93d50ab), 0)) AS avg_order_value, + SAFE_DIVIDE(SUM(test_cube_all_order_metrics_0.quantity_sum_06b64d2e), NULLIF(COUNT( DISTINCT test_cube_all_order_metrics_0.order_id_distinct_f93d50ab), 0)) AS avg_items_per_order, + SAFE_DIVIDE(SUM(test_cube_all_order_metrics_0.line_total_sum_e1f61696), NULLIF(hll_sketch_estimate(ds_hll(test_cube_all_order_metrics_0.customer_id_hll_23002251)), 0)) AS revenue_per_customer, + SAFE_DIVIDE((MAX(test_cube_all_order_metrics_0.unit_price_max_55cff00f) - MIN(test_cube_all_order_metrics_0.unit_price_min_55cff00f)), NULLIF(SAFE_DIVIDE(SUM(test_cube_all_order_metrics_0.unit_price_sum_55cff00f), SUM(test_cube_all_order_metrics_0.unit_price_count_55cff00f)), 0)) * 100 AS price_spread_pct + FROM test_cube_all_order_metrics_0 + GROUP BY + test_cube_all_order_metrics_0.category + """ + assert_sql_equal(result.sql, expected_sql, normalize_aliases=False) + + # Verify all metrics are in columns + column_names = [col.name for col in result.columns] + assert "category" in column_names + # Base metrics + assert "total_revenue" in column_names + assert "total_quantity" in column_names + assert "order_count" in column_names + assert "customer_count" in column_names + assert "avg_unit_price" in column_names + assert "max_unit_price" in column_names + assert "min_unit_price" in column_names + # Derived metrics + assert "avg_order_value" in column_names + assert "avg_items_per_order" in column_names + assert "revenue_per_customer" in column_names + assert "price_spread_pct" in column_names + + @pytest.mark.asyncio + async def test_builds_sql_from_cube_with_window_function_metrics( + self, + client_with_build_v3, + session, + ): + """Should build SQL for window function metrics (period-over-period). + + Window function metrics have required_dimensions and need special handling. + This tests: + - v3.wow_revenue_change (week-over-week, requires date.week) + - v3.wow_order_growth (week-over-week, requires date.week) + """ + # Base metrics needed by the derived window metrics + base_metrics = [ + "v3.total_revenue", + "v3.order_count", + ] + # Window function metrics - require v3.date.week[order] dimension + window_metrics = [ + "v3.wow_revenue_change", + "v3.wow_order_growth", + ] + all_metrics = base_metrics + window_metrics + + # Create a cube with the required week dimension + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_window_metrics", + "metrics": all_metrics, + "dimensions": ["v3.date.week[order]", "v3.product.category"], + "mode": "published", + "description": "Test cube with window function metrics", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_window_metrics/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_window_metrics", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=all_metrics, + dimensions=["v3.date.week[order]", "v3.product.category"], + ) + assert cube is not None + + # Build SQL from the cube + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=all_metrics, + dimensions=["v3.date.week[order]", "v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + ) + + # Verify result structure + assert result is not None + assert result.sql is not None + + # Verify SQL structure using assert_sql_equal + # Window metrics have LAG() OVER (ORDER BY ...) patterns + expected_sql = """ + WITH test_cube_window_metrics_0 AS ( + SELECT + week_order, + category, + line_total_sum_e1f61696, + order_id_distinct_f93d50ab + FROM default.analytics.cube_window_metrics + ), + base_metrics AS ( + SELECT + COALESCE(test_cube_window_metrics_0.week_order) AS week_order, + COALESCE(test_cube_window_metrics_0.category) AS category, + COUNT( DISTINCT test_cube_window_metrics_0.order_id_distinct_f93d50ab) AS order_count, + SUM(test_cube_window_metrics_0.line_total_sum_e1f61696) AS total_revenue + FROM test_cube_window_metrics_0 + GROUP BY test_cube_window_metrics_0.week_order, test_cube_window_metrics_0.category + ) + SELECT + base_metrics.week_order AS week_order, + base_metrics.category AS category, + base_metrics.total_revenue AS total_revenue, + base_metrics.order_count AS order_count, + (base_metrics.total_revenue - LAG(base_metrics.total_revenue, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week_order) ) / NULLIF(LAG(base_metrics.total_revenue, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week_order) , 0) * 100 AS wow_revenue_change, + (CAST(base_metrics.order_count AS DOUBLE) - LAG(CAST(base_metrics.order_count AS DOUBLE), 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week_order) ) / NULLIF(LAG(CAST(base_metrics.order_count AS DOUBLE), 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week_order) , 0) * 100 AS wow_order_growth + FROM base_metrics + """ + assert_sql_equal(result.sql, expected_sql, normalize_aliases=False) + + # Verify all metrics are in columns + column_names = [col.name for col in result.columns] + # Base metrics + assert "total_revenue" in column_names + assert "order_count" in column_names + # Window metrics + assert "wow_revenue_change" in column_names + assert "wow_order_growth" in column_names + + @pytest.mark.asyncio + async def test_builds_sql_from_cube_with_trailing_metrics( + self, + client_with_build_v3, + session, + ): + """Should build SQL for trailing window metrics (rolling calculations). + + This tests: + - v3.trailing_7d_revenue (rolling 7-day sum, requires date.date_id) + - v3.trailing_wow_revenue_change (trailing WoW %, requires date.date_id) + """ + # Base metrics needed by the trailing metrics + base_metrics = [ + "v3.total_revenue", + ] + # Trailing metrics - require v3.date.date_id[order] dimension + trailing_metrics = [ + "v3.trailing_7d_revenue", + "v3.trailing_wow_revenue_change", + ] + all_metrics = base_metrics + trailing_metrics + + # Create a cube with the required date_id dimension + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_trailing_metrics", + "metrics": all_metrics, + "dimensions": ["v3.date.date_id[order]", "v3.product.category"], + "mode": "published", + "description": "Test cube with trailing window metrics", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_trailing_metrics/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_trailing_metrics", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=all_metrics, + dimensions=["v3.date.date_id[order]", "v3.product.category"], + ) + assert cube is not None + + # Build SQL from the cube + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=all_metrics, + dimensions=["v3.date.date_id[order]", "v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + ) + + # Verify result structure + assert result is not None + assert result.sql is not None + + # Verify SQL structure using assert_sql_equal + # Trailing metrics use window functions with ROWS BETWEEN + expected_sql = """ + WITH test_cube_trailing_metrics_0 AS ( + SELECT + date_id_order, + category, + line_total_sum_e1f61696 + FROM default.analytics.cube_trailing_metrics + ), + base_metrics AS ( + SELECT + COALESCE(test_cube_trailing_metrics_0.date_id_order) AS date_id_order, + COALESCE(test_cube_trailing_metrics_0.category) AS category, + SUM(test_cube_trailing_metrics_0.line_total_sum_e1f61696) AS total_revenue + FROM test_cube_trailing_metrics_0 + GROUP BY + test_cube_trailing_metrics_0.date_id_order, + test_cube_trailing_metrics_0.category + ) + SELECT + base_metrics.date_id_order AS date_id_order, + base_metrics.category AS category, + base_metrics.total_revenue AS total_revenue, + SUM(base_metrics.total_revenue) OVER ( PARTITION BY base_metrics.category ORDER BY base_metrics.date_id_order ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS trailing_7d_revenue, + (SUM(base_metrics.total_revenue) OVER ( PARTITION BY base_metrics.category ORDER BY base_metrics.date_id_order ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) - SUM(base_metrics.total_revenue) OVER ( PARTITION BY base_metrics.category ORDER BY base_metrics.date_id_order ROWS BETWEEN 13 PRECEDING AND 7 PRECEDING) ) / NULLIF(SUM(base_metrics.total_revenue) OVER ( PARTITION BY base_metrics.category ORDER BY base_metrics.date_id_order ROWS BETWEEN 13 PRECEDING AND 7 PRECEDING) , 0) * 100 AS trailing_wow_revenue_change + FROM base_metrics + """ + assert_sql_equal(result.sql, expected_sql, normalize_aliases=False) + + # Verify all metrics are in columns + column_names = [col.name for col in result.columns] + # Base metrics + assert "total_revenue" in column_names + # Trailing metrics + assert "trailing_7d_revenue" in column_names + assert "trailing_wow_revenue_change" in column_names + + @pytest.mark.asyncio + async def test_builds_sql_with_rollup_dimensions( + self, + client_with_build_v3, + session, + ): + """Should build SQL that rolls up dimensions when querying subset.""" + # Create a cube with multiple dimensions + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_sql_rollup", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category", "v3.product.subcategory"], + "mode": "published", + "description": "Test cube for rollup", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_sql_rollup/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_rollup", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], # Only one dimension - requires rollup + ) + assert cube is not None + + # Build SQL from the cube (querying with fewer dimensions than cube has) + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + ) + + # Verify result structure + assert result is not None + assert result.sql is not None + + # Verify SQL has GROUP BY for re-aggregation using assert_sql_equal + expected_sql = """ + WITH test_cube_sql_rollup_0 AS ( + SELECT + category, + line_total_sum_e1f61696 + FROM default.analytics.cube_rollup + ) + SELECT + COALESCE(test_cube_sql_rollup_0.category) AS category, + SUM(test_cube_sql_rollup_0.line_total_sum_e1f61696) AS total_revenue + FROM test_cube_sql_rollup_0 + GROUP BY test_cube_sql_rollup_0.category + """ + assert_sql_equal(result.sql, expected_sql) + + # Should only have the requested dimension in output + column_names = [col.name for col in result.columns] + assert "category" in column_names + + @pytest.mark.asyncio + async def test_builds_sql_respects_dialect( + self, + client_with_build_v3, + session, + ): + """Should generate SQL appropriate for the specified dialect.""" + # Create a cube + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_dialect", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube for dialect", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_dialect/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_dialect", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Build SQL with Spark dialect + spark_result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + ) + + # Build SQL with Druid dialect + druid_result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.DRUID, + ) + + # Both should produce valid SQL with expected structure + expected_sql = """ + WITH test_cube_dialect_0 AS ( + SELECT + category, + line_total_sum_e1f61696 + FROM default.analytics.cube_dialect + ) + SELECT + COALESCE(test_cube_dialect_0.category) AS category, + SUM(test_cube_dialect_0.line_total_sum_e1f61696) AS total_revenue + FROM test_cube_dialect_0 + GROUP BY test_cube_dialect_0.category + """ + assert_sql_equal(spark_result.sql, expected_sql) + assert_sql_equal(druid_result.sql, expected_sql) + + @pytest.mark.asyncio + async def test_builds_sql_from_cube_with_filter( + self, + client_with_build_v3, + session, + ): + """Should build SQL from cube with filter applied.""" + # Create a cube with availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_with_filter", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube for filter tests", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_with_filter/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_filter_test", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Build SQL from the cube with a filter + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=["v3.product.category = 'Electronics'"], + dialect=Dialect.SPARK, + ) + + # Verify result structure + assert result is not None + assert result.sql is not None + + # Verify SQL structure with WHERE clause + expected_sql = """ + WITH test_cube_with_filter_0 AS ( + SELECT + category, + line_total_sum_e1f61696 + FROM default.analytics.cube_filter_test + ) + SELECT + COALESCE(test_cube_with_filter_0.category) AS category, + SUM(test_cube_with_filter_0.line_total_sum_e1f61696) AS total_revenue + FROM test_cube_with_filter_0 + WHERE test_cube_with_filter_0.category = 'Electronics' + GROUP BY test_cube_with_filter_0.category + """ + assert_sql_equal(result.sql, expected_sql) + + # Verify columns + column_names = [col.name for col in result.columns] + assert "category" in column_names + assert "total_revenue" in column_names + + @pytest.mark.asyncio + async def test_builds_sql_from_cube_with_multiple_metrics_and_filter( + self, + client_with_build_v3, + session, + ): + """Should build SQL from cube with multiple metrics and filter.""" + # Create a cube with multiple metrics + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_multi_filter", + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube with multiple metrics for filter tests", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_multi_filter/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_multi_filter_test", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Build SQL with filter + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + filters=["v3.product.category = 'Electronics'"], + dialect=Dialect.SPARK, + ) + + # Verify result + assert result is not None + assert result.sql is not None + + # Verify SQL has WHERE clause + expected_sql = """ + WITH test_cube_multi_filter_0 AS ( + SELECT + category, + line_total_sum_e1f61696, + quantity_sum_06b64d2e + FROM default.analytics.cube_multi_filter_test + ) + SELECT + COALESCE(test_cube_multi_filter_0.category) AS category, + SUM(test_cube_multi_filter_0.line_total_sum_e1f61696) AS total_revenue, + SUM(test_cube_multi_filter_0.quantity_sum_06b64d2e) AS total_quantity + FROM test_cube_multi_filter_0 + WHERE test_cube_multi_filter_0.category = 'Electronics' + GROUP BY test_cube_multi_filter_0.category + """ + assert_sql_equal(result.sql, expected_sql) + + @pytest.mark.asyncio + async def test_builds_sql_from_cube_with_in_filter( + self, + client_with_build_v3, + session, + ): + """Should build SQL from cube with IN filter operator.""" + # Create a cube with availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_in_filter", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube for IN filter tests", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_in_filter/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_in_filter_test", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Build SQL from the cube with an IN filter + result = await build_sql_from_cube( + session=session, + cube=cube, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=["v3.product.category IN ('Electronics', 'Clothing')"], + dialect=Dialect.SPARK, + ) + + # Verify result structure + assert result is not None + assert result.sql is not None + + # Verify SQL structure with IN filter + expected_sql = """ + WITH test_cube_in_filter_0 AS ( + SELECT + category, + line_total_sum_e1f61696 + FROM default.analytics.cube_in_filter_test + ) + SELECT + COALESCE(test_cube_in_filter_0.category) AS category, + SUM(test_cube_in_filter_0.line_total_sum_e1f61696) AS total_revenue + FROM test_cube_in_filter_0 + WHERE test_cube_in_filter_0.category IN ('Electronics', 'Clothing') + GROUP BY test_cube_in_filter_0.category + """ + assert_sql_equal(result.sql, expected_sql) + + +class TestBuildSyntheticGrainGroup: + """Tests for build_synthetic_grain_group function.""" + + @pytest.mark.asyncio + async def test_creates_grain_group_with_correct_structure( + self, + client_with_build_v3, + session, + ): + """Should create a GrainGroupSQL with correct structure.""" + # Create a cube with availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_grain_group", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube for grain group", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_grain_group/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_grain", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Create BuildContext and decompose metrics + ctx = BuildContext( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=[], + dialect=Dialect.SPARK, + use_materialized=False, + ) + await load_nodes(ctx) + _, decomposed_metrics = await decompose_and_group_metrics(ctx) + + # Build synthetic grain group + grain_group = build_synthetic_grain_group( + ctx=ctx, + decomposed_metrics=decomposed_metrics, + cube=cube, + ) + + # Verify structure + assert grain_group is not None + assert grain_group.parent_name == "v3.test_cube_grain_group" + assert grain_group.aggregability == Aggregability.FULL + + # Verify grain + assert "category" in grain_group.grain + + # Verify columns include dimension and metric component + column_names = [col.name for col in grain_group.columns] + assert "category" in column_names + assert "line_total_sum_e1f61696" in column_names + + # Verify component_aliases mapping + assert len(grain_group.component_aliases) > 0 + + # Verify query SQL using assert_sql_equal + expected_sql = """ + SELECT category, line_total_sum_e1f61696 + FROM default.analytics.cube_grain + """ + assert_sql_equal(str(grain_group.query), expected_sql) + + @pytest.mark.asyncio + async def test_grain_group_query_references_cube_table( + self, + client_with_build_v3, + session, + ): + """Should generate query that references the cube's availability table.""" + # Create a cube + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_table_ref", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube for table reference", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability with specific table name + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_table_ref/availability/", + json={ + "catalog": "my_catalog", + "schema_": "my_schema", + "table": "my_cube_table", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Create BuildContext and decompose metrics + ctx = BuildContext( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=[], + dialect=Dialect.SPARK, + use_materialized=False, + ) + await load_nodes(ctx) + _, decomposed_metrics = await decompose_and_group_metrics(ctx) + + # Build synthetic grain group + grain_group = build_synthetic_grain_group( + ctx=ctx, + decomposed_metrics=decomposed_metrics, + cube=cube, + ) + + # Verify query references the cube table using assert_sql_equal + expected_sql = """ + SELECT category, line_total_sum_e1f61696 + FROM my_catalog.my_schema.my_cube_table + """ + assert_sql_equal(str(grain_group.query), expected_sql) + + @pytest.mark.asyncio + async def test_grain_group_with_multiple_metrics( + self, + client_with_build_v3, + session, + ): + """Should handle multiple metrics correctly in synthetic grain group.""" + # Create a cube with multiple metrics + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_multi_metrics_grain", + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube with multiple metrics", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.test_cube_multi_metrics_grain/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_multi_grain", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Find the cube + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + ) + assert cube is not None + + # Create BuildContext and decompose metrics + ctx = BuildContext( + session=session, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + filters=[], + dialect=Dialect.SPARK, + use_materialized=False, + ) + await load_nodes(ctx) + _, decomposed_metrics = await decompose_and_group_metrics(ctx) + + # Build synthetic grain group + grain_group = build_synthetic_grain_group( + ctx=ctx, + decomposed_metrics=decomposed_metrics, + cube=cube, + ) + + # Verify multiple metrics are in the grain group + assert len(grain_group.metrics) == 2 + assert "v3.total_revenue" in grain_group.metrics + assert "v3.total_quantity" in grain_group.metrics + + # Verify component columns for both metrics + column_names = [col.name for col in grain_group.columns] + assert "line_total_sum_e1f61696" in column_names + assert "quantity_sum_06b64d2e" in column_names + + # Verify query SQL using assert_sql_equal + expected_sql = """ + SELECT category, line_total_sum_e1f61696, quantity_sum_06b64d2e + FROM default.analytics.cube_multi_grain + """ + assert_sql_equal(str(grain_group.query), expected_sql) + + @pytest.mark.asyncio + async def test_grain_group_raises_error_without_availability( + self, + client_with_build_v3, + session, + ): + """Should raise ValueError if cube has no availability.""" + # Create a cube WITHOUT availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.test_cube_no_avail_grain", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Test cube without availability", + }, + ) + assert response.status_code == 201, response.json() + + # Find the cube without requiring availability + cube = await find_matching_cube( + session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + require_availability=False, + ) + assert cube is not None + assert cube.availability is None + + # Create BuildContext + ctx = BuildContext( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=[], + dialect=Dialect.SPARK, + use_materialized=False, + ) + await load_nodes(ctx) + _, decomposed_metrics = await decompose_and_group_metrics(ctx) + + # Should raise ValueError + with pytest.raises(ValueError, match="has no availability"): + build_synthetic_grain_group( + ctx=ctx, + decomposed_metrics=decomposed_metrics, + cube=cube, + ) + + +class TestBuildMetricsSqlCubePath: + """ + Tests for build_metrics_sql that exercise the cube matching path (Layer 1). + + These tests verify that when a matching cube with availability is found, + build_metrics_sql uses the cube's table as the source instead of computing + from source tables. + """ + + @pytest.mark.asyncio + async def test_build_metrics_sql_uses_cube_when_available( + self, + client_with_build_v3, + session, + ): + """Should use cube table when matching cube with availability exists.""" + from datajunction_server.construction.build_v3 import build_metrics_sql + + # Create a cube + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.cube_for_metrics_sql", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Cube for build_metrics_sql test", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.cube_for_metrics_sql/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_for_metrics_sql", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Call build_metrics_sql - should use cube path + result = await build_metrics_sql( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + use_materialized=True, + ) + + # Verify SQL using assert_sql_equal - queries cube table with re-aggregation + assert_sql_equal( + result.sql, + """ + WITH + cube_for_metrics_sql_0 AS ( + SELECT category, line_total_sum_e1f61696 + FROM default.analytics.cube_for_metrics_sql + ) + SELECT + COALESCE(cube_for_metrics_sql_0.category) AS category, + SUM(cube_for_metrics_sql_0.line_total_sum_e1f61696) AS total_revenue + FROM cube_for_metrics_sql_0 + GROUP BY cube_for_metrics_sql_0.category + """, + ) + + # Verify cube_name is returned + assert result.cube_name == "v3.cube_for_metrics_sql" + + # Verify output columns + assert len(result.columns) == 2 + column_names = [col.name for col in result.columns] + assert "category" in column_names + assert "total_revenue" in column_names + + @pytest.mark.asyncio + async def test_build_metrics_sql_falls_back_when_no_cube( + self, + client_with_build_v3, + session, + ): + """Should fall back to source tables when no matching cube exists.""" + from datajunction_server.construction.build_v3 import build_metrics_sql + + # Don't create any cube - just call build_metrics_sql + result = await build_metrics_sql( + session=session, + metrics=["v3.page_view_count"], # No cube has this metric + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + use_materialized=True, + ) + + # Verify SQL uses source tables (page_views), not cube + assert_sql_equal( + result.sql, + """ + WITH + v3_page_views_enriched AS ( + SELECT view_id, product_id + FROM default.v3.page_views + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + page_views_enriched_0 AS ( + SELECT t2.category, COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + ) + SELECT + COALESCE(page_views_enriched_0.category) AS category, + SUM(page_views_enriched_0.view_id_count_f41e2db4) AS page_view_count + FROM page_views_enriched_0 + GROUP BY page_views_enriched_0.category + """, + ) + + # Verify cube_name is None (no cube used) + assert result.cube_name is None + + # Verify output columns + column_names = [col.name for col in result.columns] + assert "category" in column_names + assert "page_view_count" in column_names + + @pytest.mark.asyncio + async def test_build_metrics_sql_skips_cube_when_use_materialized_false( + self, + client_with_build_v3, + session, + ): + """Should NOT use cube when use_materialized=False.""" + from datajunction_server.construction.build_v3 import build_metrics_sql + + # Create a cube with availability + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.cube_skip_test", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Cube that should be skipped", + }, + ) + assert response.status_code == 201, response.json() + + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.cube_skip_test/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_skip_test", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Call build_metrics_sql with use_materialized=False + result = await build_metrics_sql( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + use_materialized=False, # Should skip cube lookup + ) + + # Verify cube_name is None (cube skipped due to use_materialized=False) + assert result.cube_name is None + + # Verify SQL does NOT reference the cube table - uses source tables + assert_sql_equal( + result.sql, + """ + WITH + v3_order_details AS ( + SELECT oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT t2.category, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + ) + SELECT + COALESCE(order_details_0.category) AS category, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category + """, + ) + + @pytest.mark.asyncio + async def test_build_metrics_sql_cube_with_multi_component_metric( + self, + client_with_build_v3, + session, + ): + """Should correctly handle multi-component metrics (like AVG) from cube.""" + from datajunction_server.construction.build_v3 import build_metrics_sql + + # Create a cube with AVG metric (decomposes to SUM + COUNT) + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.cube_avg_metric", + "metrics": ["v3.avg_unit_price"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Cube with AVG metric", + }, + ) + assert response.status_code == 201, response.json() + + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.cube_avg_metric/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_avg_metric", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Call build_metrics_sql + result = await build_metrics_sql( + session=session, + metrics=["v3.avg_unit_price"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + use_materialized=True, + ) + + # Verify SQL with combiner expression for AVG (SUM/SUM for re-aggregation) + # AVG decomposes into unit_price_sum_xxx and unit_price_count_xxx components + assert_sql_equal( + result.sql, + """ + WITH + cube_avg_metric_0 AS ( + SELECT category, unit_price_count_55cff00f, unit_price_sum_55cff00f + FROM default.analytics.cube_avg_metric + ) + SELECT + COALESCE(cube_avg_metric_0.category) AS category, + SUM(cube_avg_metric_0.unit_price_sum_55cff00f) + / SUM(cube_avg_metric_0.unit_price_count_55cff00f) AS avg_unit_price + FROM cube_avg_metric_0 + GROUP BY cube_avg_metric_0.category + """, + normalize_aliases=True, + ) + + # Verify cube_name is returned + assert result.cube_name == "v3.cube_avg_metric" + + # Verify output columns + column_names = [col.name for col in result.columns] + assert "avg_unit_price" in column_names + + @pytest.mark.asyncio + async def test_build_metrics_sql_cube_with_multiple_metrics( + self, + client_with_build_v3, + session, + ): + """Should handle cube with multiple metrics correctly.""" + from datajunction_server.construction.build_v3 import build_metrics_sql + + # Create a cube with multiple metrics + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.cube_multi_metrics", + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Cube with multiple metrics", + }, + ) + assert response.status_code == 201, response.json() + + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.cube_multi_metrics/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_multi_metrics", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Call build_metrics_sql with both metrics + result = await build_metrics_sql( + session=session, + metrics=["v3.total_revenue", "v3.total_quantity"], + dimensions=["v3.product.category"], + filters=None, + dialect=Dialect.SPARK, + use_materialized=True, + ) + + # Verify SQL with both metrics from cube + assert_sql_equal( + result.sql, + """ + WITH + cube_multi_metrics_0 AS ( + SELECT category, line_total_sum_e1f61696, quantity_sum_06b64d2e + FROM default.analytics.cube_multi_metrics + ) + SELECT + COALESCE(cube_multi_metrics_0.category) AS category, + SUM(cube_multi_metrics_0.line_total_sum_e1f61696) AS total_revenue, + SUM(cube_multi_metrics_0.quantity_sum_06b64d2e) AS total_quantity + FROM cube_multi_metrics_0 + GROUP BY cube_multi_metrics_0.category + """, + ) + + # Verify cube_name is returned + assert result.cube_name == "v3.cube_multi_metrics" + + # Verify both metrics in output + column_names = [col.name for col in result.columns] + assert "total_revenue" in column_names + assert "total_quantity" in column_names + + @pytest.mark.asyncio + async def test_build_metrics_sql_cube_rollup( + self, + client_with_build_v3, + session, + ): + """Should roll up cube data when querying with fewer dimensions.""" + from datajunction_server.construction.build_v3 import build_metrics_sql + + # Create a cube with multiple dimensions + response = await client_with_build_v3.post( + "/nodes/cube/", + json={ + "name": "v3.cube_rollup_test", + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.product.category", + "v3.product.subcategory", + ], + "mode": "published", + "description": "Cube for rollup test", + }, + ) + assert response.status_code == 201, response.json() + + valid_through_ts = int(time.time() * 1000) + response = await client_with_build_v3.post( + "/data/v3.cube_rollup_test/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_rollup_test", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Query with only one dimension (should roll up) + result = await build_metrics_sql( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.product.category"], # Subset of cube dims + filters=None, + dialect=Dialect.SPARK, + use_materialized=True, + ) + + # Verify SQL - cube has both dims, but only category requested + # The cube table is queried with both columns but only category in output + assert_sql_equal( + result.sql, + """ + WITH + cube_rollup_test_0 AS ( + SELECT category, line_total_sum_e1f61696 + FROM default.analytics.cube_rollup_test + ) + SELECT + COALESCE(cube_rollup_test_0.category) AS category, + SUM(cube_rollup_test_0.line_total_sum_e1f61696) AS total_revenue + FROM cube_rollup_test_0 + GROUP BY cube_rollup_test_0.category + """, + ) + + # Verify cube_name is returned + assert result.cube_name == "v3.cube_rollup_test" + + # Only category should be in output (not subcategory) + column_names = [col.name for col in result.columns] + assert "category" in column_names + assert "subcategory" not in column_names + + +class TestDataEndpointCubePath: + """ + Tests for the /data/ endpoint that exercise the cube-to-engine resolution path. + + These tests verify that when a matching cube with availability is found, + the /data/ endpoint uses the cube's catalog engine instead of the default. + """ + + @pytest.mark.asyncio + async def test_data_endpoint_uses_cube_catalog_engine( + self, + module__client_with_build_v3, + module__session, + module_mocker, + ): + """ + Test that /data/ endpoint resolves engine from cube's availability catalog. + + This covers lines 480-486 in api/data.py where the engine is resolved + from the cube's availability catalog instead of the metric's default catalog. + """ + from unittest.mock import MagicMock + + from datajunction_server.models.query import QueryWithResults + from datajunction_server.typing import QueryState + from datajunction_server.utils import get_query_service_client + + client = module__client_with_build_v3 + + # Create a cube + response = await client.post( + "/nodes/cube/", + json={ + "name": "v3.cube_for_data_endpoint", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "mode": "published", + "description": "Cube for /data/ endpoint test", + }, + ) + assert response.status_code == 201, response.json() + + # Set availability pointing to the default catalog (which has spark engine) + valid_through_ts = int(time.time() * 1000) + response = await client.post( + "/data/v3.cube_for_data_endpoint/availability/", + json={ + "catalog": "default", + "schema_": "analytics", + "table": "cube_for_data_endpoint", + "valid_through_ts": valid_through_ts, + }, + ) + assert response.status_code == 200, response.json() + + # Capture submitted queries to verify engine resolution + submitted_queries = [] + + mock_response = QueryWithResults( + id="test-query-id", + submitted_query="SELECT ...", + state=QueryState.FINISHED, + results=[], + ) + + def mock_submit_query(query_create, request_headers=None): + submitted_queries.append(query_create) + return mock_response + + # Create mock query service client + mock_qs_client = MagicMock() + mock_qs_client.submit_query = mock_submit_query + + # Override the dependency at the app level + client.app.dependency_overrides[get_query_service_client] = ( + lambda: mock_qs_client + ) + + try: + # Call /data/ endpoint with metrics that match the cube + response = await client.get( + "/data/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "use_materialized": True, + }, + ) + + assert response.status_code == 200, response.json() + + # Verify the query was submitted with the correct engine from cube's catalog + assert len(submitted_queries) == 1 + query = submitted_queries[0] + # The engine should be "spark" from the default catalog + assert query.engine_name == "spark" + assert query.catalog_name == "default" + finally: + # Clean up the override + if get_query_service_client in client.app.dependency_overrides: + del client.app.dependency_overrides[get_query_service_client] diff --git a/datajunction-server/tests/construction/build_v3/decomposition_test.py b/datajunction-server/tests/construction/build_v3/decomposition_test.py new file mode 100644 index 000000000..0c2b2f50e --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/decomposition_test.py @@ -0,0 +1,203 @@ +"""Tests for decomposition module.""" + +from unittest.mock import MagicMock + +import pytest + +from datajunction_server.construction.build_v3.decomposition import ( + get_base_metrics_for_derived, + is_derived_metric, +) +from datajunction_server.construction.build_v3.types import BuildContext +from datajunction_server.models.node_type import NodeType + + +class TestGetBaseMetricsForDerived: + """Tests for get_base_metrics_for_derived function.""" + + def test_skips_dimension_parents(self): + """ + Test that get_base_metrics_for_derived skips dimension node parents. + + This covers line 270: continue when parent.type == NodeType.DIMENSION + + When a derived metric has a dimension as a parent (e.g., for required_dimensions + in window functions), that dimension should be skipped and not cause the metric + to be treated as a base metric. It should continue to find the actual metric + or fact/transform parent. + """ + # Create mock nodes + dimension_node = MagicMock() + dimension_node.name = "v3.date" + dimension_node.type = NodeType.DIMENSION + + base_metric_node = MagicMock() + base_metric_node.name = "v3.total_revenue" + base_metric_node.type = NodeType.METRIC + + fact_node = MagicMock() + fact_node.name = "v3.order_details" + fact_node.type = NodeType.TRANSFORM + + derived_metric_node = MagicMock() + derived_metric_node.name = "v3.trailing_wow_revenue_change" + derived_metric_node.type = NodeType.METRIC + + # Create mock context + ctx = MagicMock(spec=BuildContext) + ctx.nodes = { + "v3.date": dimension_node, + "v3.total_revenue": base_metric_node, + "v3.order_details": fact_node, + "v3.trailing_wow_revenue_change": derived_metric_node, + } + # Parent map: derived_metric -> [dimension, base_metric] + # base_metric -> [fact] + ctx.parent_map = { + "v3.trailing_wow_revenue_change": ["v3.date", "v3.total_revenue"], + "v3.total_revenue": ["v3.order_details"], + } + + # Execute + result = get_base_metrics_for_derived(ctx, derived_metric_node) + + # Verify: Should find base_metric_node, not treat derived as base due to dimension + assert len(result) == 1 + assert result[0].name == "v3.total_revenue" + + def test_handles_dimension_only_parent(self): + """ + Test handling when a metric only has a dimension parent in one path. + + The function should continue checking other parents when it hits a dimension. + """ + dimension_node = MagicMock() + dimension_node.name = "v3.date" + dimension_node.type = NodeType.DIMENSION + + metric_node = MagicMock() + metric_node.name = "v3.some_metric" + metric_node.type = NodeType.METRIC + + fact_node = MagicMock() + fact_node.name = "v3.fact_table" + fact_node.type = NodeType.TRANSFORM + + # Metric has dimension first, then fact + ctx = MagicMock(spec=BuildContext) + ctx.nodes = { + "v3.date": dimension_node, + "v3.some_metric": metric_node, + "v3.fact_table": fact_node, + } + ctx.parent_map = { + "v3.some_metric": ["v3.date", "v3.fact_table"], + } + + result = get_base_metrics_for_derived(ctx, metric_node) + + # Should find the metric as a base metric (via fact parent) + assert len(result) == 1 + assert result[0].name == "v3.some_metric" + + +class TestIsDerivedMetric: + """Tests for is_derived_metric function.""" + + def test_metric_with_dimension_and_metric_parents_is_derived(self): + """ + Test that a metric with both dimension and metric parents is derived. + + This tests the logic that checks if ANY parent is a metric. + """ + dimension_node = MagicMock() + dimension_node.name = "v3.date" + dimension_node.type = NodeType.DIMENSION + + parent_metric = MagicMock() + parent_metric.name = "v3.total_revenue" + parent_metric.type = NodeType.METRIC + + derived_metric = MagicMock() + derived_metric.name = "v3.wow_change" + derived_metric.type = NodeType.METRIC + + ctx = MagicMock(spec=BuildContext) + ctx.nodes = { + "v3.date": dimension_node, + "v3.total_revenue": parent_metric, + "v3.wow_change": derived_metric, + } + # Dimension appears BEFORE the metric in parent list + ctx.parent_map = { + "v3.wow_change": ["v3.date", "v3.total_revenue"], + } + + result = is_derived_metric(ctx, derived_metric) + + # Should be derived because it has a metric parent + assert result is True + + def test_metric_with_only_dimension_parent_not_derived(self): + """ + Test that a metric with only dimension parents is not derived. + """ + dimension_node = MagicMock() + dimension_node.name = "v3.date" + dimension_node.type = NodeType.DIMENSION + + metric_node = MagicMock() + metric_node.name = "v3.some_metric" + metric_node.type = NodeType.METRIC + + ctx = MagicMock(spec=BuildContext) + ctx.nodes = { + "v3.date": dimension_node, + "v3.some_metric": metric_node, + } + ctx.parent_map = { + "v3.some_metric": ["v3.date"], + } + + result = is_derived_metric(ctx, metric_node) + + # Only dimension parent - not a derived metric + assert result is False + + +@pytest.mark.asyncio +async def test_decomposition_with_dimension_parent_integration( + module__client_with_build_v3, +): + """ + Integration test: verify that metrics with dimension parents work correctly. + + The v3.trailing_wow_revenue_change metric has: + - required_dimensions: ["v3.date.date_id[order]"] - creates dimension parent + - References v3.total_revenue - creates metric parent + + This exercises line 270 (skip dimension) in a real scenario. + """ + client = module__client_with_build_v3 + + # Query the trailing metric - this exercises the decomposition code path + response = await client.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.trailing_wow_revenue_change"], + "dimensions": ["v3.product.category"], + }, + ) + + # Should succeed - if dimension parent wasn't skipped, it might fail + # or produce incorrect results + assert response.status_code == 200, response.json() + result = response.json() + + # Verify the SQL was generated successfully + assert "sql" in result + assert result["sql"] is not None + + # Verify the metric appears in columns + column_names = [col["name"] for col in result["columns"]] + assert "trailing_wow_revenue_change" in column_names diff --git a/datajunction-server/tests/construction/build_v3/helpers_test.py b/datajunction-server/tests/construction/build_v3/helpers_test.py new file mode 100644 index 000000000..d6baa5620 --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/helpers_test.py @@ -0,0 +1,1687 @@ +"""Tests for build_v3 helper functions.""" + +from unittest.mock import MagicMock + +from datajunction_server.construction.build_v3.cte import ( + filter_cte_projection, + flatten_inner_ctes, + get_column_full_name, + get_table_references_from_ast, + rewrite_table_references, + topological_sort_nodes, +) +from datajunction_server.construction.build_v3.decomposition import ( + analyze_grain_groups, + build_component_expression, + get_native_grain, +) +from datajunction_server.construction.build_v3.dimensions import ( + parse_dimension_ref, +) +from datajunction_server.construction.build_v3.filters import ( + combine_filters, + parse_filter, + resolve_filter_references, +) +from datajunction_server.construction.build_v3.utils import ( + amenable_name, + get_cte_name, + get_column_type, + get_short_name, + make_column_ref, + make_name, +) +from datajunction_server.construction.build_v3.utils import ( + extract_columns_from_expression, +) +from datajunction_server.construction.build_v3.materialization import ( + get_materialized_table_parts, + get_physical_table_name, + get_table_reference_parts_with_materialization, + has_available_materialization, +) +from datajunction_server.construction.build_v3.types import ( + MetricGroup, + DecomposedMetricInfo, +) +from datajunction_server.models.decompose import MetricComponent, Aggregability +from datajunction_server.models.decompose import AggregationRule +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing import ast +from datajunction_server.models.node import NodeType + + +class TestDimensionRefParsing: + """Tests for dimension reference parsing.""" + + def test_simple_dimension_ref(self): + """Test parsing a simple dimension reference.""" + ref = parse_dimension_ref("v3.customer.name") + assert ref.node_name == "v3.customer" + assert ref.column_name == "name" + assert ref.role is None + + def test_dimension_ref_with_role(self): + """Test parsing a dimension reference with role.""" + ref = parse_dimension_ref("v3.date.month[order]") + assert ref.node_name == "v3.date" + assert ref.column_name == "month" + assert ref.role == "order" + + def test_dimension_ref_with_multi_hop_role(self): + """Test parsing a dimension reference with multi-hop role.""" + ref = parse_dimension_ref("v3.date.month[customer->registration]") + assert ref.node_name == "v3.date" + assert ref.column_name == "month" + assert ref.role == "customer->registration" + + def test_dimension_ref_with_deep_role_path(self): + """Test parsing dimension reference with deep role path.""" + ref = parse_dimension_ref("v3.location.country[customer->home]") + assert ref.node_name == "v3.location" + assert ref.column_name == "country" + assert ref.role == "customer->home" + + def test_dimension_ref_just_column_name(self): + """Test parsing a bare column name (no node prefix).""" + ref = parse_dimension_ref("status") + assert ref.node_name == "" + assert ref.column_name == "status" + assert ref.role is None + + +class TestMakeColumnRef: + """Tests for make_column_ref function.""" + + def test_column_with_table_alias(self): + """Test creating a column reference with table alias.""" + col = make_column_ref("status", "t1") + assert str(col) == "t1.status" + + def test_column_without_table_alias(self): + """Test creating a column reference without table alias.""" + col = make_column_ref("status") + assert str(col) == "status" + + +class TestNameHelpers: + """Tests for name manipulation helper functions.""" + + def test_get_short_name(self): + """Test getting short name from fully qualified name.""" + assert get_short_name("v3.order_details") == "order_details" + assert get_short_name("catalog.schema.table") == "table" + assert get_short_name("simple") == "simple" + + def test_amenable_name(self): + """Test converting node name to SQL-safe name.""" + assert amenable_name("v3.order_details") == "v3_order_details" + assert amenable_name("my.node.name") == "my_node_name" + + def test_get_cte_name(self): + """Test generating CTE name from node name.""" + assert get_cte_name("v3.order_details") == "v3_order_details" + + def test_make_name_simple(self): + """Test make_name with simple name.""" + name = make_name("table") + assert str(name) == "table" + + def test_make_name_dotted(self): + """Test make_name with dotted name.""" + name = make_name("catalog.schema.table") + assert str(name) == "catalog.schema.table" + + +class TestColumnTypeHelpers: + """Tests for column type helper functions.""" + + def test_get_column_type_found(self): + """Test getting column type when column exists.""" + mock_col = MagicMock() + mock_col.name = "status" + mock_col.type = "varchar" + + mock_rev = MagicMock() + mock_rev.columns = [mock_col] + + mock_node = MagicMock() + mock_node.current = mock_rev + + result = get_column_type(mock_node, "status") + assert result == "varchar" + + def test_get_column_type_not_found(self): + """Test getting column type when column doesn't exist.""" + mock_col = MagicMock() + mock_col.name = "other" + mock_col.type = "varchar" + + mock_rev = MagicMock() + mock_rev.columns = [mock_col] + + mock_node = MagicMock() + mock_node.current = mock_rev + + result = get_column_type(mock_node, "missing") + assert result == "string" + + def test_get_column_type_no_current(self): + """Test getting column type when node has no current revision.""" + mock_node = MagicMock() + mock_node.current = None + + result = get_column_type(mock_node, "status") + assert result == "string" + + +class TestNativeGrain: + """Tests for get_native_grain function.""" + + def test_native_grain_with_pk(self): + """Test getting native grain with primary key columns.""" + mock_col1 = MagicMock() + mock_col1.name = "order_id" + mock_col1.has_primary_key_attribute.return_value = True + + mock_col2 = MagicMock() + mock_col2.name = "status" + mock_col2.has_primary_key_attribute.return_value = False + + mock_rev = MagicMock() + mock_rev.columns = [mock_col1, mock_col2] + + mock_node = MagicMock() + mock_node.current = mock_rev + + result = get_native_grain(mock_node) + assert result == ["order_id"] + + def test_native_grain_no_pk(self): + """Test getting native grain with no primary key columns.""" + mock_col = MagicMock() + mock_col.name = "status" + mock_col.has_primary_key_attribute.return_value = False + + mock_rev = MagicMock() + mock_rev.columns = [mock_col] + + mock_node = MagicMock() + mock_node.current = mock_rev + + result = get_native_grain(mock_node) + assert result == ["status"] + + def test_native_grain_no_current(self): + """Test getting native grain when node has no current revision.""" + mock_node = MagicMock() + mock_node.current = None + + result = get_native_grain(mock_node) + assert result == [] + + +class TestPhysicalTableHelpers: + """Tests for physical table name helpers.""" + + def test_get_physical_table_name_source(self): + """Test getting physical table name for source node.""" + mock_catalog = MagicMock() + mock_catalog.name = "default" + + mock_rev = MagicMock() + mock_rev.catalog = mock_catalog + mock_rev.schema_ = "v3" + mock_rev.table = "orders" + + mock_node = MagicMock() + mock_node.type = NodeType.SOURCE + mock_node.current = mock_rev + + result = get_physical_table_name(mock_node) + assert result == "default.v3.orders" + + def test_get_physical_table_name_transform(self): + """Test getting physical table name for transform node.""" + mock_node = MagicMock() + mock_node.type = NodeType.TRANSFORM + mock_node.current = MagicMock() + + result = get_physical_table_name(mock_node) + assert result is None + + def test_get_physical_table_name_no_current(self): + """Test getting physical table name when node has no current revision.""" + mock_node = MagicMock() + mock_node.current = None + + result = get_physical_table_name(mock_node) + assert result is None + + +class TestTableReferenceHelpers: + """Tests for table reference helpers.""" + + def test_get_table_reference_source(self): + """Test getting table reference for source node.""" + mock_catalog = MagicMock() + mock_catalog.name = "default" + + mock_rev = MagicMock() + mock_rev.catalog = mock_catalog + mock_rev.schema_ = "v3" + mock_rev.table = "orders" + + mock_node = MagicMock() + mock_node.type = NodeType.SOURCE + mock_node.name = "v3.src_orders" + mock_node.current = mock_rev + + table_parts, is_physical = get_table_reference_parts_with_materialization( + MagicMock(), + mock_node, + ) + assert table_parts == ["default", "v3", "orders"] + assert is_physical is True + + def test_get_table_reference_transform(self): + """Test getting table reference for transform node (returns CTE name).""" + mock_node = MagicMock() + mock_node.type = NodeType.TRANSFORM + mock_node.name = "v3.order_details" + mock_node.current = MagicMock() + mock_node.current.availability = None # No materialization + + mock_ctx = MagicMock() + mock_ctx.use_materialized = True + + table_parts, is_physical = get_table_reference_parts_with_materialization( + mock_ctx, + mock_node, + ) + assert table_parts == ["v3_order_details"] # List with CTE name + assert is_physical is False # It's a CTE, not a physical table + + def test_get_table_reference_transform_materialized(self): + """Test getting table reference for materialized transform node.""" + # Set up availability (materialization) + mock_availability = MagicMock() + mock_availability.catalog = "mat_catalog" + mock_availability.schema_ = "mat_schema" + mock_availability.table = "mat_table" + mock_availability.is_available.return_value = True + + mock_node = MagicMock() + mock_node.type = NodeType.TRANSFORM + mock_node.name = "v3.order_details" + mock_node.current = MagicMock() + mock_node.current.availability = mock_availability + + mock_ctx = MagicMock() + mock_ctx.use_materialized = True + + table_parts, is_physical = get_table_reference_parts_with_materialization( + mock_ctx, + mock_node, + ) + assert table_parts == [ + "mat_catalog", + "mat_schema", + "mat_table", + ] # Physical table parts + assert is_physical is True # Using materialized table + + +class TestMaterializationHelpers: + """Tests for materialization helper functions.""" + + def test_has_available_materialization_true(self): + """Test checking for available materialization when present.""" + mock_availability = MagicMock() + mock_availability.catalog = "mat_catalog" + mock_availability.schema_ = "mat_schema" + mock_availability.table = "mat_table" + mock_availability.is_available.return_value = ( + True # Mock the is_available() call + ) + + mock_rev = MagicMock() + mock_rev.availability = mock_availability + + mock_node = MagicMock() + mock_node.current = mock_rev + + result = has_available_materialization(mock_node) + assert result is True + + def test_has_available_materialization_false(self): + """Test checking for available materialization when absent.""" + mock_rev = MagicMock() + mock_rev.availability = None + + mock_node = MagicMock() + mock_node.current = mock_rev + + result = has_available_materialization(mock_node) + assert result is False + + def test_get_materialized_table_parts(self): + """Test getting materialized table parts.""" + mock_availability = MagicMock() + mock_availability.catalog = "mat_catalog" + mock_availability.schema_ = "mat_schema" + mock_availability.table = "mat_table" + + mock_rev = MagicMock() + mock_rev.availability = mock_availability + + mock_node = MagicMock() + mock_node.current = mock_rev + + result = get_materialized_table_parts(mock_node) + assert result == ["mat_catalog", "mat_schema", "mat_table"] + + def test_get_materialized_table_parts_no_availability(self): + """Test getting materialized table parts when not available.""" + mock_rev = MagicMock() + mock_rev.availability = None + + mock_node = MagicMock() + mock_node.current = mock_rev + + result = get_materialized_table_parts(mock_node) + assert result is None + + +class TestASTHelpers: + """Tests for AST manipulation helper functions.""" + + def test_get_column_full_name(self): + """Test extracting full column name from AST.""" + query = parse("SELECT t.column_name FROM table t") + cols = list(query.find_all(ast.Column)) + assert len(cols) == 1 + result = get_column_full_name(cols[0]) + assert result == "t.column_name" + + def test_get_column_full_name_namespaced(self): + """Test extracting full column name with namespace.""" + query = parse("SELECT v3.date.month FROM table") + cols = list(query.find_all(ast.Column)) + assert len(cols) == 1 + result = get_column_full_name(cols[0]) + assert result == "v3.date.month" + + def test_extract_columns_from_expression(self): + """Test extracting column names from expression.""" + query = parse("SELECT SUM(a + b * c) FROM table") + expr = query.select.projection[0] + cols = extract_columns_from_expression(expr) + assert cols == {"a", "b", "c"} + + def test_get_table_references_from_ast(self): + """Test extracting table references from query AST.""" + query = parse("SELECT * FROM a JOIN b ON a.id = b.id") + refs = get_table_references_from_ast(query) + assert "a" in refs + assert "b" in refs + + +class TestFilterHelpers: + """Tests for filter parsing and resolution helpers.""" + + def test_parse_filter_simple(self): + """Test parsing a simple filter expression.""" + result = parse_filter("status = 'active'") + assert isinstance(result, ast.BinaryOp) + assert str(result) == "status = 'active'" + + def test_parse_filter_comparison(self): + """Test parsing a comparison filter.""" + result = parse_filter("amount >= 100") + assert isinstance(result, ast.BinaryOp) + + def test_parse_filter_in_clause(self): + """Test parsing an IN clause filter.""" + result = parse_filter("status IN ('active', 'pending')") + assert str(result) == "status IN ('active', 'pending')" + + def test_combine_filters_empty(self): + """Test combining empty filter list.""" + result = combine_filters([]) + assert result is None + + def test_combine_filters_single(self): + """Test combining single filter.""" + f1 = parse_filter("status = 'active'") + result = combine_filters([f1]) + assert str(result) == "status = 'active'" + + def test_combine_filters_multiple(self): + """Test combining multiple filters with AND.""" + f1 = parse_filter("status = 'active'") + f2 = parse_filter("amount >= 100") + result = combine_filters([f1, f2]) + assert "AND" in str(result).upper() + + def test_resolve_filter_references(self): + """Test resolving dimension references in filters.""" + filter_ast = parse_filter("v3_product_category = 'Electronics'") + aliases = {"v3_product_category": "category"} + result = resolve_filter_references(filter_ast, aliases, "t1") + # The column should be resolved to use the alias + assert result is not None + + +class TestBuildComponentExpression: + """Tests for build_component_expression function.""" + + def test_build_simple_sum(self): + """Test building a simple SUM aggregation.""" + component = MetricComponent( + name="revenue_sum", + expression="line_total", + aggregation="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert isinstance(result, ast.Function) + assert str(result) == "SUM(line_total)" + + def test_build_count(self): + """Test building a COUNT aggregation.""" + component = MetricComponent( + name="order_count", + expression="order_id", + aggregation="COUNT", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert isinstance(result, ast.Function) + assert str(result) == "COUNT(order_id)" + + def test_build_no_aggregation(self): + """Test building expression without aggregation.""" + component = MetricComponent( + name="raw_value", + expression="line_total", + aggregation=None, + rule=AggregationRule(type=Aggregability.NONE), + ) + result = build_component_expression(component) + assert isinstance(result, ast.Column) + assert str(result) == "line_total" + + def test_build_template_aggregation(self): + """Test building expression with template aggregation like SUM(POWER({}, 2)).""" + component = MetricComponent( + name="sum_squared", + expression="value", + aggregation="SUM(POWER({}, 2))", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert str(result) == "SUM(POWER(value, 2))" + + def test_build_pre_expanded_template_simple(self): + """Test building expression with pre-expanded template (already contains expression).""" + # This is the case where aggregation already has the full expression + # e.g., "SUM(POWER(match_score, 2))" instead of "SUM(POWER({}, 2))" + component = MetricComponent( + name="sum_squared", + expression="match_score", # expression field is ignored for pre-expanded + aggregation="SUM(POWER(match_score, 2))", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert str(result) == "SUM(POWER(match_score, 2))" + + def test_build_pre_expanded_template_nested_functions(self): + """Test pre-expanded template with multiple nested functions.""" + component = MetricComponent( + name="complex_agg", + expression="col", + aggregation="SUM(ABS(POWER(value, 3)))", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert str(result) == "SUM(ABS(POWER(value, 3)))" + + def test_build_pre_expanded_template_with_alias(self): + """Test pre-expanded template with COUNT DISTINCT.""" + component = MetricComponent( + name="count_distinct", + expression="col", + aggregation="COUNT(DISTINCT user_id)", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert str(result) == "COUNT( DISTINCT user_id)" + + def test_build_pre_expanded_template_arithmetic(self): + """Test pre-expanded template with arithmetic operations.""" + component = MetricComponent( + name="arithmetic_agg", + expression="col", + aggregation="SUM(price * quantity)", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert str(result) == "SUM(price * quantity)" + + def test_build_pre_expanded_template_case_expression(self): + """Test pre-expanded template with CASE expression.""" + component = MetricComponent( + name="conditional_sum", + expression="col", + aggregation="SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END)", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + # CASE expressions are formatted with newlines by the AST + expected = ( + "SUM(CASE \n WHEN status = 'active' THEN 1\n ELSE 0\n END)" + ) + assert str(result) == expected + + def test_build_pre_expanded_vs_simple_function_name(self): + """Test distinction between pre-expanded 'SUM(x)' and simple 'SUM'.""" + # Pre-expanded: has parentheses - parses directly + pre_expanded = MetricComponent( + name="pre_expanded", + expression="ignored", + aggregation="SUM(specific_column)", + rule=AggregationRule(type=Aggregability.FULL), + ) + result_pre = build_component_expression(pre_expanded) + assert str(result_pre) == "SUM(specific_column)" + + # Simple: no parentheses - wraps expression + simple = MetricComponent( + name="simple", + expression="my_column", + aggregation="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ) + result_simple = build_component_expression(simple) + assert str(result_simple) == "SUM(my_column)" + + def test_build_pre_expanded_template_coalesce(self): + """Test pre-expanded template with COALESCE function.""" + component = MetricComponent( + name="coalesce_sum", + expression="col", + aggregation="SUM(COALESCE(value, 0))", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert str(result) == "SUM(COALESCE(value, 0))" + + def test_build_pre_expanded_template_multiple_args(self): + """Test pre-expanded template with function having multiple arguments.""" + component = MetricComponent( + name="multi_arg", + expression="col", + aggregation="SUM(IF(condition, value1, value2))", + rule=AggregationRule(type=Aggregability.FULL), + ) + result = build_component_expression(component) + assert str(result) == "SUM(IF(condition, value1, value2))" + + +class TestTopologicalSortNodes: + """Tests for topological_sort_nodes function.""" + + def test_empty_node_names(self): + """Test with empty node names set.""" + ctx = MagicMock() + ctx.nodes = {} + result = topological_sort_nodes(ctx, set()) + assert result == [] + + def test_single_transform_node(self): + """Test sorting a single transform node.""" + # Create a mock transform node + transform_node = MagicMock() + transform_node.name = "v3.my_transform" + transform_node.type = NodeType.TRANSFORM + transform_node.current = MagicMock() + transform_node.current.query = "SELECT * FROM v3.source" + + # Mock the parsed query AST + query_ast = parse("SELECT * FROM v3_source") + + ctx = MagicMock() + ctx.nodes = {"v3.my_transform": transform_node} + ctx.get_parsed_query.return_value = query_ast + + result = topological_sort_nodes(ctx, {"v3.my_transform"}) + assert len(result) == 1 + assert result[0].name == "v3.my_transform" + + def test_source_node_handling(self): + """Test that SOURCE nodes have no dependencies.""" + source_node = MagicMock() + source_node.name = "v3.source_table" + source_node.type = NodeType.SOURCE + + ctx = MagicMock() + ctx.nodes = {"v3.source_table": source_node} + + result = topological_sort_nodes(ctx, {"v3.source_table"}) + assert len(result) == 1 + assert result[0].name == "v3.source_table" + + def test_metric_node_skipped(self): + """Test that METRIC nodes are skipped (handled separately).""" + metric_node = MagicMock() + metric_node.name = "v3.my_metric" + metric_node.type = NodeType.METRIC + + ctx = MagicMock() + ctx.nodes = {"v3.my_metric": metric_node} + + result = topological_sort_nodes(ctx, {"v3.my_metric"}) + # Metric nodes are skipped, so no result + assert len(result) == 0 + + def test_node_without_current(self): + """Test handling a node without current revision.""" + node = MagicMock() + node.name = "v3.broken" + node.type = NodeType.TRANSFORM + node.current = None + + ctx = MagicMock() + ctx.nodes = {"v3.broken": node} + + result = topological_sort_nodes(ctx, {"v3.broken"}) + assert len(result) == 1 # Still included with empty deps + + def test_node_without_query(self): + """Test handling a node without a query.""" + node = MagicMock() + node.name = "v3.no_query" + node.type = NodeType.TRANSFORM + node.current = MagicMock() + node.current.query = None + + ctx = MagicMock() + ctx.nodes = {"v3.no_query": node} + + result = topological_sort_nodes(ctx, {"v3.no_query"}) + assert len(result) == 1 # Still included with empty deps + + def test_table_reference_extraction(self): + """Test that table references are extracted correctly from SQL.""" + # Test various SQL patterns to see what table names are extracted + # v3.node_a parses as namespace.table, str() returns "v3.node_a" + test_cases = [ + ("SELECT * FROM v3_node_a", {"v3_node_a"}), + ("SELECT * FROM v3.node_a", {"v3.node_a"}), + ("SELECT * FROM v3.b JOIN v3.c ON 1=1", {"v3.b", "v3.c"}), + ] + for sql, expected in test_cases: + query_ast = parse(sql) + refs = get_table_references_from_ast(query_ast) + assert refs == expected, f"SQL: {sql}, expected {expected}, got {refs}" + + def test_dependency_ordering(self): + """Test that dependencies come before dependents.""" + # Create two transform nodes where B depends on A + # Table references use namespace.name format (v3.node_a) + node_a = MagicMock() + node_a.name = "v3.node_a" + node_a.type = NodeType.TRANSFORM + node_a.current = MagicMock() + node_a.current.query = "SELECT * FROM external_source" + + node_b = MagicMock() + node_b.name = "v3.node_b" + node_b.type = NodeType.TRANSFORM + node_b.current = MagicMock() + node_b.current.query = "SELECT * FROM v3.node_a" + + # Parse queries - v3.node_a parses as namespace.table + query_a = parse("SELECT * FROM external_source") + query_b = parse("SELECT * FROM v3.node_a") + + ctx = MagicMock() + ctx.nodes = {"v3.node_a": node_a, "v3.node_b": node_b} + + def get_parsed_query(node): + if node.name == "v3.node_a": + return query_a + return query_b + + ctx.get_parsed_query.side_effect = get_parsed_query + + result = topological_sort_nodes(ctx, {"v3.node_a", "v3.node_b"}) + + # Node A should come before Node B since B depends on A + assert len(result) == 2 + result_names = [n.name for n in result] + assert result_names.index("v3.node_a") < result_names.index("v3.node_b") + + def test_diamond_dependency(self): + """Test diamond-shaped dependency: D depends on B,C which both depend on A.""" + # A -> B -> D + # A -> C -> D + # Table references use namespace.name format (v3.a, v3.b, etc.) + node_a = MagicMock() + node_a.name = "v3.a" + node_a.type = NodeType.TRANSFORM + node_a.current = MagicMock() + node_a.current.query = "SELECT 1" + + node_b = MagicMock() + node_b.name = "v3.b" + node_b.type = NodeType.TRANSFORM + node_b.current = MagicMock() + node_b.current.query = "SELECT * FROM v3.a" + + node_c = MagicMock() + node_c.name = "v3.c" + node_c.type = NodeType.TRANSFORM + node_c.current = MagicMock() + node_c.current.query = "SELECT * FROM v3.a" + + node_d = MagicMock() + node_d.name = "v3.d" + node_d.type = NodeType.TRANSFORM + node_d.current = MagicMock() + node_d.current.query = "SELECT * FROM v3.b JOIN v3.c" + + ctx = MagicMock() + ctx.nodes = { + "v3.a": node_a, + "v3.b": node_b, + "v3.c": node_c, + "v3.d": node_d, + } + + def get_parsed_query(node): + queries = { + "v3.a": parse("SELECT 1"), + "v3.b": parse("SELECT * FROM v3.a"), + "v3.c": parse("SELECT * FROM v3.a"), + "v3.d": parse("SELECT * FROM v3.b JOIN v3.c ON 1=1"), + } + return queries[node.name] + + ctx.get_parsed_query.side_effect = get_parsed_query + + result = topological_sort_nodes(ctx, {"v3.a", "v3.b", "v3.c", "v3.d"}) + + result_names = [n.name for n in result] + assert len(result) == 4, f"Expected 4 nodes, got {result_names}" + # A must come first (no dependencies) + assert result_names[0] == "v3.a" + # B and C must come before D (D depends on both) + assert result_names.index("v3.b") < result_names.index("v3.d") + assert result_names.index("v3.c") < result_names.index("v3.d") + assert result_names.index("v3.c") < result_names.index("v3.d") + + def test_node_not_in_context(self): + """Test handling when a node name is not found in ctx.nodes.""" + ctx = MagicMock() + ctx.nodes = {} # Empty - no nodes + + result = topological_sort_nodes(ctx, {"v3.missing_node"}) + assert result == [] + + def test_parse_exception_handling(self): + """Test that parse exceptions are handled gracefully.""" + node = MagicMock() + node.name = "v3.bad_query" + node.type = NodeType.TRANSFORM + node.current = MagicMock() + node.current.query = "INVALID SQL SYNTAX" + + ctx = MagicMock() + ctx.nodes = {"v3.bad_query": node} + # Simulate parse failure + ctx.get_parsed_query.side_effect = Exception("Parse error") + + result = topological_sort_nodes(ctx, {"v3.bad_query"}) + # Should still return the node with empty dependencies + assert len(result) == 1 + assert result[0].name == "v3.bad_query" + + def test_dependency_on_skipped_metric_node(self): + """Test that dependencies on METRIC nodes (which are skipped) are handled. + + This tests the case where a transform references a metric node by name. + The metric is skipped (not added to dependencies/dependents), so the + 'if dep in dependents' check returns False for that dependency. + + When a transform depends on a skipped node, it has an unresolvable + dependency and won't appear in the sorted output (per the algorithm). + """ + # Create a metric node that will be skipped + # Use underscore format since that's what appears in SQL table references + metric_node = MagicMock() + metric_node.name = "v3_my_metric" + metric_node.type = NodeType.METRIC + + # Create a transform that references the metric node name + transform_node = MagicMock() + transform_node.name = "v3_transform" + transform_node.type = NodeType.TRANSFORM + transform_node.current = MagicMock() + transform_node.current.query = "SELECT * FROM v3_my_metric" + + # The parsed query will return v3_my_metric as a table reference + query_ast = parse("SELECT * FROM v3_my_metric") + + ctx = MagicMock() + ctx.nodes = {"v3_my_metric": metric_node, "v3_transform": transform_node} + ctx.get_parsed_query.return_value = query_ast + + # Both nodes are in node_names, but metric will be skipped + result = topological_sort_nodes(ctx, {"v3_my_metric", "v3_transform"}) + + # The transform depends on the skipped metric, so it has an unresolvable + # dependency and won't be returned (in_degree never reaches 0). + # This tests that the 'if dep in dependents' check handles missing deps. + assert len(result) == 0 + + +class TestRewriteTableReferences: + """Tests for rewrite_table_references function.""" + + def test_rewrite_inner_cte_reference(self): + """Test rewriting an inner CTE reference with prefixed name and alias.""" + query_ast = parse("SELECT * FROM base_cte") + + ctx = MagicMock() + ctx.nodes = {} # No node references + + cte_names = {} + inner_cte_renames = {"base_cte": "prefix_base_cte"} + + result = rewrite_table_references(query_ast, ctx, cte_names, inner_cte_renames) + + # Should rename to prefixed name with alias to original + table = list(result.find_all(ast.Table))[0] + assert str(table.name) == "prefix_base_cte" + assert str(table.alias) == "base_cte" + + def test_rewrite_inner_cte_preserves_existing_alias(self): + """Test that existing aliases are preserved when rewriting inner CTEs.""" + query_ast = parse("SELECT * FROM base_cte AS b") + + ctx = MagicMock() + ctx.nodes = {} + + cte_names = {} + inner_cte_renames = {"base_cte": "prefix_base_cte"} + + result = rewrite_table_references(query_ast, ctx, cte_names, inner_cte_renames) + + # Should rename but keep existing alias + table = list(result.find_all(ast.Table))[0] + assert str(table.name) == "prefix_base_cte" + assert str(table.alias) == "b" # Original alias preserved + + def test_rewrite_source_node_to_physical_table(self): + """Test rewriting a source node reference to physical table name.""" + query_ast = parse("SELECT * FROM v3_source") + + # Create a source node mock + source_node = MagicMock() + source_node.name = "v3.source" + source_node.type = NodeType.SOURCE + source_node.current = MagicMock() + source_node.current.catalog = MagicMock() + source_node.current.catalog.name = "catalog" + source_node.current.schema_ = "schema" + source_node.current.table = "source_table" + + ctx = MagicMock() + ctx.nodes = {"v3_source": source_node} + ctx.use_materialized = True + + cte_names = {} + + result = rewrite_table_references(query_ast, ctx, cte_names) + + # Should be rewritten to physical table name + table = list(result.find_all(ast.Table))[0] + assert "catalog" in str(table.name) or "source" in str(table.name).lower() + + def test_rewrite_transform_node_to_cte(self): + """Test rewriting a transform node reference to CTE name.""" + query_ast = parse("SELECT * FROM v3_transform") + + # Create a transform node mock + transform_node = MagicMock() + transform_node.name = "v3.transform" + transform_node.type = NodeType.TRANSFORM + transform_node.current = MagicMock() + transform_node.current.availability = None # Not materialized + + ctx = MagicMock() + ctx.nodes = {"v3_transform": transform_node} + ctx.use_materialized = True + + cte_names = {"v3_transform": "v3_transform_cte"} + + result = rewrite_table_references(query_ast, ctx, cte_names) + + # Should be rewritten to CTE name + table = list(result.find_all(ast.Table))[0] + assert str(table.name) == "v3_transform_cte" + + def test_rewrite_materialized_node_to_physical_table(self): + """Test rewriting a materialized node to its physical table name.""" + query_ast = parse("SELECT * FROM v3_materialized") + + # Create a materialized transform node mock + mat_node = MagicMock() + mat_node.name = "v3.materialized" + mat_node.type = NodeType.TRANSFORM + mat_node.current = MagicMock() + + # Mock availability state + availability = MagicMock() + availability.is_available.return_value = True + availability.catalog = "mat_catalog" + availability.schema_ = "mat_schema" + availability.table = "mat_table" + mat_node.current.availability = availability + + ctx = MagicMock() + ctx.nodes = {"v3_materialized": mat_node} + ctx.use_materialized = True + + cte_names = {} + + result = rewrite_table_references(query_ast, ctx, cte_names) + + # Should be rewritten to materialized physical table + table = list(result.find_all(ast.Table))[0] + table_str = str(table.name) + assert "mat" in table_str.lower() + + def test_rewrite_unknown_table_unchanged(self): + """Test that unknown table references are left unchanged.""" + query_ast = parse("SELECT * FROM unknown_table") + + ctx = MagicMock() + ctx.nodes = {} # No matching nodes + + cte_names = {} + + result = rewrite_table_references(query_ast, ctx, cte_names) + + # Should be unchanged + table = list(result.find_all(ast.Table))[0] + assert str(table.name) == "unknown_table" + + def test_rewrite_multiple_tables(self): + """Test rewriting multiple table references in a single query.""" + query_ast = parse("SELECT * FROM v3_a JOIN v3_b ON v3_a.id = v3_b.id") + + node_a = MagicMock() + node_a.name = "v3.a" + node_a.type = NodeType.TRANSFORM + node_a.current = MagicMock() + node_a.current.availability = None + + node_b = MagicMock() + node_b.name = "v3.b" + node_b.type = NodeType.TRANSFORM + node_b.current = MagicMock() + node_b.current.availability = None + + ctx = MagicMock() + ctx.nodes = {"v3_a": node_a, "v3_b": node_b} + ctx.use_materialized = True + + cte_names = {"v3_a": "cte_a", "v3_b": "cte_b"} + + result = rewrite_table_references(query_ast, ctx, cte_names) + + # Both should be rewritten + tables = list(result.find_all(ast.Table)) + table_names = [str(t.name) for t in tables] + assert "cte_a" in table_names + assert "cte_b" in table_names + + def test_rewrite_with_no_inner_cte_renames(self): + """Test that None inner_cte_renames is handled correctly.""" + query_ast = parse("SELECT * FROM v3_transform") + + transform_node = MagicMock() + transform_node.name = "v3.transform" + transform_node.type = NodeType.TRANSFORM + transform_node.current = MagicMock() + transform_node.current.availability = None + + ctx = MagicMock() + ctx.nodes = {"v3_transform": transform_node} + ctx.use_materialized = True + + cte_names = {"v3_transform": "v3_cte"} + + # Pass None for inner_cte_renames + result = rewrite_table_references(query_ast, ctx, cte_names, None) + + table = list(result.find_all(ast.Table))[0] + assert str(table.name) == "v3_cte" + + +class TestFilterCteProjection: + """Tests for filter_cte_projection function.""" + + def test_filter_aliased_columns(self): + """Test filtering columns that have aliases.""" + query_ast = parse("SELECT a AS col_a, b AS col_b, c AS col_c FROM t") + + result = filter_cte_projection(query_ast, {"col_a", "col_c"}) + + # Should only keep col_a and col_c + projection = result.select.projection + assert len(projection) == 2 + aliases = [ + str(p.alias.name) for p in projection if hasattr(p, "alias") and p.alias + ] + assert "col_a" in aliases + assert "col_c" in aliases + assert "col_b" not in aliases + + def test_filter_unaliased_columns(self): + """Test filtering columns without aliases.""" + query_ast = parse("SELECT col_a, col_b, col_c FROM t") + + result = filter_cte_projection(query_ast, {"col_a", "col_c"}) + + # Should only keep col_a and col_c + projection = result.select.projection + assert len(projection) == 2 + names = [str(p.name.name) for p in projection if isinstance(p, ast.Column)] + assert "col_a" in names + assert "col_c" in names + + def test_filter_mixed_columns(self): + """Test filtering mix of aliased and unaliased columns.""" + query_ast = parse("SELECT a AS alias_a, plain_b, c AS alias_c FROM t") + + result = filter_cte_projection(query_ast, {"alias_a", "plain_b"}) + + projection = result.select.projection + assert len(projection) == 2 + + def test_filter_keeps_all_when_all_needed(self): + """Test that all columns are kept when all are in the filter set.""" + query_ast = parse("SELECT a, b, c FROM t") + + result = filter_cte_projection(query_ast, {"a", "b", "c"}) + + projection = result.select.projection + assert len(projection) == 3 + + def test_filter_empty_set_keeps_original(self): + """Test that empty filter set keeps original projection.""" + query_ast = parse("SELECT a, b, c FROM t") + original_len = len(query_ast.select.projection) + + result = filter_cte_projection(query_ast, set()) + + # When everything is filtered, should keep original + assert len(result.select.projection) == original_len + + def test_filter_column_with_table_prefix(self): + """Test filtering columns with table prefixes.""" + query_ast = parse("SELECT t.a AS col_a, t.b AS col_b FROM t") + + result = filter_cte_projection(query_ast, {"col_a"}) + + projection = result.select.projection + assert len(projection) == 1 + + def test_filter_expressions_kept(self): + """Test that complex expressions (non-Column, non-Alias) are kept.""" + # Use a function call as expression - this hits the else branch + query_ast = parse("SELECT COUNT(*) AS cnt, a AS col_a FROM t") + + result = filter_cte_projection(query_ast, {"col_a"}) + + # col_a should be kept, COUNT(*) may or may not be kept depending on implementation + projection = result.select.projection + # At minimum col_a should be there + assert any( + hasattr(p, "alias") and p.alias and str(p.alias.name) == "col_a" + for p in projection + ) + + def test_filter_star_expression(self): + """Test handling of SELECT * (no specific columns).""" + query_ast = parse("SELECT * FROM t") + + # SELECT * creates a Star node, not Column nodes + result = filter_cte_projection(query_ast, {"a", "b"}) + + # Star expressions should be kept (they fall into the else branch) + assert len(result.select.projection) >= 1 + + def test_filter_none_column_name(self): + """Test handling when column name extraction returns None.""" + query_ast = parse("SELECT a AS col_a, b FROM t") + + # Filter for columns that exist + result = filter_cte_projection(query_ast, {"col_a", "b"}) + + projection = result.select.projection + assert len(projection) == 2 + + +class TestFlattenInnerCtes: + """Tests for flatten_inner_ctes function.""" + + def test_no_ctes_returns_empty(self): + """Test that a query with no CTEs returns empty results.""" + query_ast = parse("SELECT * FROM t") + + extracted, renames = flatten_inner_ctes(query_ast, "outer_cte") + + assert extracted == [] + assert renames == {} + + def test_single_inner_cte(self): + """Test extracting a single inner CTE.""" + query_ast = parse("WITH temp AS (SELECT 1 AS x) SELECT * FROM temp") + + extracted, renames = flatten_inner_ctes(query_ast, "v3_transform") + + # Should have one extracted CTE + assert len(extracted) == 1 + assert extracted[0][0] == "v3_transform__temp" + + # Should have rename mapping + assert "temp" in renames + assert renames["temp"] == "v3_transform__temp" + + # Original query should have CTEs cleared + assert query_ast.ctes == [] + + def test_multiple_inner_ctes(self): + """Test extracting multiple inner CTEs.""" + query_ast = parse(""" + WITH + cte_a AS (SELECT 1 AS a), + cte_b AS (SELECT 2 AS b) + SELECT * FROM cte_a JOIN cte_b ON 1=1 + """) + + extracted, renames = flatten_inner_ctes(query_ast, "outer") + + # Should have two extracted CTEs + assert len(extracted) == 2 + + # Check names + cte_names = [name for name, _ in extracted] + assert "outer__cte_a" in cte_names + assert "outer__cte_b" in cte_names + + # Check renames + assert renames["cte_a"] == "outer__cte_a" + assert renames["cte_b"] == "outer__cte_b" + + def test_nested_ctes_recursive_flattening(self): + """Test that nested CTEs are recursively flattened.""" + # This is a query with a CTE that itself has CTEs + # Note: Standard SQL doesn't allow this, but our AST might represent it + query_ast = parse(""" + WITH outer_temp AS ( + SELECT * FROM source + ) + SELECT * FROM outer_temp + """) + + # Manually add nested CTE to test recursive behavior + if query_ast.ctes: + inner_cte = query_ast.ctes[0] + # Create a nested CTE structure + nested_cte = ast.Query( + select=ast.Select(projection=[ast.Column(ast.Name("nested_col"))]), + ) + nested_cte.alias = ast.Name("nested") + inner_cte.ctes = [nested_cte] + + extracted, renames = flatten_inner_ctes(query_ast, "prefix") + + # Should include both the outer and nested CTEs + assert len(extracted) >= 1 + + def test_cte_without_alias_skipped(self): + """Test that CTEs without aliases are handled gracefully.""" + query_ast = parse("WITH temp AS (SELECT 1) SELECT * FROM temp") + + # Manually remove alias to test edge case + if query_ast.ctes: + query_ast.ctes[0].alias = None + + extracted, renames = flatten_inner_ctes(query_ast, "outer") + + # Should handle gracefully (skip CTEs without aliases) + # The original CTE will be skipped + assert len(extracted) == 0 + assert len(renames) == 0 + + def test_preserves_cte_query_content(self): + """Test that extracted CTE query content is preserved.""" + query_ast = parse(""" + WITH data AS ( + SELECT id, name, value + FROM source_table + WHERE value > 10 + ) + SELECT * FROM data + """) + + extracted, renames = flatten_inner_ctes(query_ast, "transform") + + # Check that the CTE content is preserved + assert len(extracted) == 1 + cte_name, cte_query = extracted[0] + assert cte_name == "transform__data" + + # The query should have a SELECT + assert cte_query.select is not None + + def test_prefix_format(self): + """Test that the prefix format uses double underscore separator.""" + query_ast = parse("WITH my_cte AS (SELECT 1) SELECT * FROM my_cte") + + extracted, renames = flatten_inner_ctes(query_ast, "v3_order_details") + + # Should use double underscore as separator + assert extracted[0][0] == "v3_order_details__my_cte" + assert "__" in extracted[0][0] + + +class TestAnalyzeGrainGroups: + """Tests for analyze_grain_groups function.""" + + def _make_component( + self, + name: str, + aggregability: Aggregability, + level: list[str] | None = None, + ) -> MetricComponent: + """Helper to create a MetricComponent with specified aggregability.""" + return MetricComponent( + name=name, + expression="col", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=aggregability, level=level), + ) + + def _make_metric_node(self, name: str) -> MagicMock: + """Helper to create a mock metric node.""" + node = MagicMock() + node.name = name + node.type = NodeType.METRIC + return node + + def _make_parent_node( + self, + name: str, + pk_columns: list[str] | None = None, + ) -> MagicMock: + """Helper to create a mock parent node with optional PK columns.""" + node = MagicMock() + node.name = name + node.type = NodeType.TRANSFORM + node.current = MagicMock() + + # Set up columns with primary key attribute + columns = [] + for col_name in pk_columns or []: + col = MagicMock() + col.name = col_name + col.has_primary_key_attribute.return_value = True + columns.append(col) + node.current.columns = columns + + return node + + def _make_decomposed_metric( + self, + metric_node: MagicMock, + components: list[MetricComponent], + aggregability: Aggregability, + ) -> DecomposedMetricInfo: + """Helper to create a DecomposedMetricInfo.""" + return DecomposedMetricInfo( + metric_node=metric_node, + components=components, + aggregability=aggregability, + combiner="", + derived_ast=parse("SELECT 1"), + ) + + def test_empty_metric_group(self): + """Test with a metric group that has no metrics.""" + parent_node = self._make_parent_node("v3.parent") + metric_group = MetricGroup(parent_node=parent_node, decomposed_metrics=[]) + + result = analyze_grain_groups(metric_group, ["dim1", "dim2"]) + + assert result == [] + + def test_single_metric_full_aggregability(self): + """Test single metric with FULL aggregability.""" + parent_node = self._make_parent_node("v3.parent") + metric_node = self._make_metric_node("v3.metric1") + component = self._make_component("comp1", Aggregability.FULL) + decomposed = self._make_decomposed_metric( + metric_node, + [component], + Aggregability.FULL, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + assert len(result) == 1 + assert result[0].aggregability == Aggregability.FULL + assert result[0].grain_columns == [] + assert len(result[0].components) == 1 + + def test_single_metric_limited_aggregability(self): + """Test single metric with LIMITED aggregability and level columns.""" + parent_node = self._make_parent_node("v3.parent") + metric_node = self._make_metric_node("v3.metric1") + component = self._make_component( + "comp1", + Aggregability.LIMITED, + level=["user_id"], + ) + decomposed = self._make_decomposed_metric( + metric_node, + [component], + Aggregability.LIMITED, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + assert len(result) == 1 + assert result[0].aggregability == Aggregability.LIMITED + assert result[0].grain_columns == ["user_id"] + assert len(result[0].components) == 1 + + def test_single_metric_none_aggregability(self): + """Test single metric with NONE aggregability uses native grain.""" + parent_node = self._make_parent_node("v3.parent", pk_columns=["id", "date"]) + metric_node = self._make_metric_node("v3.metric1") + component = self._make_component("comp1", Aggregability.NONE) + decomposed = self._make_decomposed_metric( + metric_node, + [component], + Aggregability.NONE, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + assert len(result) == 1 + assert result[0].aggregability == Aggregability.NONE + # Native grain is sorted PK columns + assert result[0].grain_columns == ["date", "id"] + assert len(result[0].components) == 1 + + def test_multiple_metrics_same_aggregability(self): + """Test multiple metrics with same aggregability grouped together.""" + parent_node = self._make_parent_node("v3.parent") + metric_node1 = self._make_metric_node("v3.metric1") + metric_node2 = self._make_metric_node("v3.metric2") + comp1 = self._make_component("comp1", Aggregability.FULL) + comp2 = self._make_component("comp2", Aggregability.FULL) + decomposed1 = self._make_decomposed_metric( + metric_node1, + [comp1], + Aggregability.FULL, + ) + decomposed2 = self._make_decomposed_metric( + metric_node2, + [comp2], + Aggregability.FULL, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed1, decomposed2], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + # Should be grouped into single grain group + assert len(result) == 1 + assert result[0].aggregability == Aggregability.FULL + assert len(result[0].components) == 2 + + def test_multiple_metrics_different_aggregability(self): + """Test multiple metrics with different aggregabilities create separate groups.""" + parent_node = self._make_parent_node("v3.parent", pk_columns=["id"]) + metric_node1 = self._make_metric_node("v3.metric1") + metric_node2 = self._make_metric_node("v3.metric2") + comp1 = self._make_component("comp1", Aggregability.FULL) + comp2 = self._make_component("comp2", Aggregability.NONE) + decomposed1 = self._make_decomposed_metric( + metric_node1, + [comp1], + Aggregability.FULL, + ) + decomposed2 = self._make_decomposed_metric( + metric_node2, + [comp2], + Aggregability.NONE, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed1, decomposed2], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + # Should create two grain groups + assert len(result) == 2 + # FULL should come first (sorted) + assert result[0].aggregability == Aggregability.FULL + assert result[1].aggregability == Aggregability.NONE + + def test_limited_with_different_levels(self): + """Test LIMITED aggregability with different level columns creates separate groups.""" + parent_node = self._make_parent_node("v3.parent") + metric_node1 = self._make_metric_node("v3.metric1") + metric_node2 = self._make_metric_node("v3.metric2") + comp1 = self._make_component("comp1", Aggregability.LIMITED, level=["user_id"]) + comp2 = self._make_component("comp2", Aggregability.LIMITED, level=["order_id"]) + decomposed1 = self._make_decomposed_metric( + metric_node1, + [comp1], + Aggregability.LIMITED, + ) + decomposed2 = self._make_decomposed_metric( + metric_node2, + [comp2], + Aggregability.LIMITED, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed1, decomposed2], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + # Should create two grain groups with different level columns + assert len(result) == 2 + assert all(g.aggregability == Aggregability.LIMITED for g in result) + # Sorted by grain columns + assert result[0].grain_columns == ["order_id"] + assert result[1].grain_columns == ["user_id"] + + def test_limited_with_same_levels_grouped(self): + """Test LIMITED with same level columns are grouped together.""" + parent_node = self._make_parent_node("v3.parent") + metric_node1 = self._make_metric_node("v3.metric1") + metric_node2 = self._make_metric_node("v3.metric2") + comp1 = self._make_component("comp1", Aggregability.LIMITED, level=["user_id"]) + comp2 = self._make_component("comp2", Aggregability.LIMITED, level=["user_id"]) + decomposed1 = self._make_decomposed_metric( + metric_node1, + [comp1], + Aggregability.LIMITED, + ) + decomposed2 = self._make_decomposed_metric( + metric_node2, + [comp2], + Aggregability.LIMITED, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed1, decomposed2], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + # Should be grouped into single grain group + assert len(result) == 1 + assert result[0].aggregability == Aggregability.LIMITED + assert result[0].grain_columns == ["user_id"] + assert len(result[0].components) == 2 + + def test_sorting_full_before_limited_before_none(self): + """Test that grain groups are sorted: FULL, then LIMITED, then NONE.""" + parent_node = self._make_parent_node("v3.parent", pk_columns=["id"]) + metric_node1 = self._make_metric_node("v3.metric1") + metric_node2 = self._make_metric_node("v3.metric2") + metric_node3 = self._make_metric_node("v3.metric3") + + # Create in reverse order: NONE, LIMITED, FULL + comp_none = self._make_component("comp_none", Aggregability.NONE) + comp_limited = self._make_component( + "comp_limited", + Aggregability.LIMITED, + level=["user_id"], + ) + comp_full = self._make_component("comp_full", Aggregability.FULL) + + decomposed1 = self._make_decomposed_metric( + metric_node1, + [comp_none], + Aggregability.NONE, + ) + decomposed2 = self._make_decomposed_metric( + metric_node2, + [comp_limited], + Aggregability.LIMITED, + ) + decomposed3 = self._make_decomposed_metric( + metric_node3, + [comp_full], + Aggregability.FULL, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed1, decomposed2, decomposed3], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + assert len(result) == 3 + # Should be sorted: FULL first, then LIMITED, then NONE + assert result[0].aggregability == Aggregability.FULL + assert result[1].aggregability == Aggregability.LIMITED + assert result[2].aggregability == Aggregability.NONE + + def test_multiple_components_per_metric(self): + """Test metric with multiple components (e.g., AVG decomposed to SUM and COUNT).""" + parent_node = self._make_parent_node("v3.parent") + metric_node = self._make_metric_node("v3.avg_metric") + + # AVG decomposes to SUM and COUNT, both FULL + comp_sum = self._make_component("sum_val", Aggregability.FULL) + comp_count = self._make_component("count_val", Aggregability.FULL) + + decomposed = self._make_decomposed_metric( + metric_node, + [comp_sum, comp_count], + Aggregability.FULL, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + assert len(result) == 1 + assert result[0].aggregability == Aggregability.FULL + # Both components in the same group + assert len(result[0].components) == 2 + + def test_limited_with_none_level_treated_as_empty(self): + """Test LIMITED with level=None treated as empty level list.""" + parent_node = self._make_parent_node("v3.parent") + metric_node = self._make_metric_node("v3.metric1") + component = self._make_component("comp1", Aggregability.LIMITED, level=None) + decomposed = self._make_decomposed_metric( + metric_node, + [component], + Aggregability.LIMITED, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + assert len(result) == 1 + assert result[0].aggregability == Aggregability.LIMITED + assert result[0].grain_columns == [] + + def test_parent_node_preserved_in_grain_group(self): + """Test that parent_node is correctly set in resulting GrainGroups.""" + parent_node = self._make_parent_node("v3.my_parent") + metric_node = self._make_metric_node("v3.metric1") + component = self._make_component("comp1", Aggregability.FULL) + decomposed = self._make_decomposed_metric( + metric_node, + [component], + Aggregability.FULL, + ) + + metric_group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed], + ) + + result = analyze_grain_groups(metric_group, ["dim1"]) + + assert result[0].parent_node == parent_node + assert result[0].parent_node.name == "v3.my_parent" diff --git a/datajunction-server/tests/construction/build_v3/loaders_test.py b/datajunction-server/tests/construction/build_v3/loaders_test.py new file mode 100644 index 000000000..085a0c305 --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/loaders_test.py @@ -0,0 +1,475 @@ +"""Tests for loaders.py - load_available_preaggs function.""" + +from unittest.mock import MagicMock, AsyncMock, patch + +import pytest +import pytest_asyncio +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.construction.build_v3.loaders import load_available_preaggs +from datajunction_server.construction.build_v3.types import BuildContext +from datajunction_server.database.availabilitystate import AvailabilityState +from datajunction_server.database.column import Column +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.preaggregation import PreAggregation +from datajunction_server.database.user import User +from datajunction_server.models.decompose import ( + MetricComponent, + AggregationRule, + Aggregability, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.user import OAuthProvider +from datajunction_server.sql.parsing.types import IntegerType + + +def make_measure( + name: str, + expression: str, + aggregation: str = "SUM", +) -> MetricComponent: + """Helper to create a MetricComponent for testing.""" + return MetricComponent( + name=name, + expression=expression, + aggregation=aggregation, + rule=AggregationRule(type=Aggregability.FULL), + ) + + +@pytest_asyncio.fixture +async def minimal_node_revision(clean_session: AsyncSession): + """Create a minimal node revision for testing PreAggregation.""" + # Create user + user = User( + username="test_loader_user", + email="test_loader@test.com", + oauth_provider=OAuthProvider.BASIC, + ) + clean_session.add(user) + await clean_session.flush() + + # Create node + node = Node( + name="test.loader.source_node", + type=NodeType.SOURCE, + created_by_id=user.id, + ) + clean_session.add(node) + await clean_session.flush() + + # Create node revision + revision = NodeRevision( + name=node.name, + node_id=node.id, + type=NodeType.SOURCE, + version="1", + columns=[Column(name="col1", type=IntegerType(), order=0)], + created_by_id=user.id, + ) + clean_session.add(revision) + await clean_session.flush() + + return revision + + +class TestLoadAvailablePreaggs: + """Tests for load_available_preaggs function.""" + + @pytest.mark.asyncio + async def test_skips_when_use_materialized_false(self): + """When use_materialized=False, should return early without querying.""" + mock_session = MagicMock(spec=AsyncSession) + mock_session.execute = AsyncMock() + + ctx = BuildContext( + session=mock_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=False, + ) + ctx._parent_revision_ids = {1, 2, 3} + + await load_available_preaggs(ctx) + + # Should not execute any queries + mock_session.execute.assert_not_called() + assert ctx.available_preaggs == {} + + @pytest.mark.asyncio + async def test_skips_when_no_parent_revision_ids(self): + """When _parent_revision_ids is empty, should return early.""" + mock_session = MagicMock(spec=AsyncSession) + mock_session.execute = AsyncMock() + + ctx = BuildContext( + session=mock_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=True, + ) + # Empty parent_revision_ids + ctx._parent_revision_ids = set() + + await load_available_preaggs(ctx) + + mock_session.execute.assert_not_called() + assert ctx.available_preaggs == {} + + @pytest.mark.asyncio + async def test_loads_preaggs_with_valid_availability( + self, + clean_session: AsyncSession, + minimal_node_revision: NodeRevision, + ): + """Pre-aggs with valid availability should be loaded.""" + # Create availability + availability = AvailabilityState( + catalog="analytics", + schema_="materialized", + table="preagg_test", + valid_through_ts=9999999999, + ) + clean_session.add(availability) + await clean_session.flush() + + # Create pre-agg with availability + preagg = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["test.dim"], + measures=[make_measure("sum_x", "x")], + columns=[], + sql="SELECT x FROM t", + grain_group_hash="hash123", + availability_id=availability.id, + ) + clean_session.add(preagg) + await clean_session.flush() + + ctx = BuildContext( + session=clean_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=True, + ) + ctx._parent_revision_ids = {minimal_node_revision.id} + + await load_available_preaggs(ctx) + + assert minimal_node_revision.id in ctx.available_preaggs + assert len(ctx.available_preaggs[minimal_node_revision.id]) == 1 + assert ctx.available_preaggs[minimal_node_revision.id][0].id == preagg.id + + @pytest.mark.asyncio + async def test_ignores_preaggs_without_availability( + self, + clean_session: AsyncSession, + minimal_node_revision: NodeRevision, + ): + """Pre-aggs without availability_id should not be loaded.""" + preagg = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["test.dim"], + measures=[make_measure("sum_x", "x")], + columns=[], + sql="SELECT x FROM t", + grain_group_hash="hash_no_avail", + # No availability_id + ) + clean_session.add(preagg) + await clean_session.flush() + + ctx = BuildContext( + session=clean_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=True, + ) + ctx._parent_revision_ids = {minimal_node_revision.id} + + await load_available_preaggs(ctx) + + # Should be empty - pre-agg filtered out by SQL query + assert ctx.available_preaggs == {} + + @pytest.mark.asyncio + async def test_ignores_preaggs_with_unavailable_status( + self, + clean_session: AsyncSession, + minimal_node_revision: NodeRevision, + ): + """Pre-aggs where is_available() returns False should not be loaded.""" + availability = AvailabilityState( + catalog="analytics", + schema_="materialized", + table="preagg_unavail", + valid_through_ts=9999999999, + ) + clean_session.add(availability) + await clean_session.flush() + + preagg = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["test.dim"], + measures=[make_measure("sum_x", "x")], + columns=[], + sql="SELECT x FROM t", + grain_group_hash="hash_unavail", + availability_id=availability.id, + ) + clean_session.add(preagg) + await clean_session.flush() + + ctx = BuildContext( + session=clean_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=True, + ) + ctx._parent_revision_ids = {minimal_node_revision.id} + + # Patch is_available to return False + with patch.object(AvailabilityState, "is_available", return_value=False): + await load_available_preaggs(ctx) + + assert ctx.available_preaggs == {} + + @pytest.mark.asyncio + async def test_multiple_preaggs_same_revision_id( + self, + clean_session: AsyncSession, + minimal_node_revision: NodeRevision, + ): + """Multiple pre-aggs for same node_revision_id should all be loaded.""" + availability1 = AvailabilityState( + catalog="analytics", + schema_="mat", + table="preagg1", + valid_through_ts=9999999999, + ) + availability2 = AvailabilityState( + catalog="analytics", + schema_="mat", + table="preagg2", + valid_through_ts=9999999999, + ) + clean_session.add_all([availability1, availability2]) + await clean_session.flush() + + preagg1 = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["dim1"], + measures=[make_measure("sum_a", "a")], + columns=[], + sql="SELECT a", + grain_group_hash="hash_multi_1", + availability_id=availability1.id, + ) + preagg2 = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["dim2"], + measures=[make_measure("sum_b", "b")], + columns=[], + sql="SELECT b", + grain_group_hash="hash_multi_2", + availability_id=availability2.id, + ) + clean_session.add_all([preagg1, preagg2]) + await clean_session.flush() + + ctx = BuildContext( + session=clean_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=True, + ) + ctx._parent_revision_ids = {minimal_node_revision.id} + + await load_available_preaggs(ctx) + + assert minimal_node_revision.id in ctx.available_preaggs + assert len(ctx.available_preaggs[minimal_node_revision.id]) == 2 + + @pytest.mark.asyncio + async def test_preaggs_indexed_by_different_revision_ids( + self, + clean_session: AsyncSession, + minimal_node_revision: NodeRevision, + ): + """Pre-aggs for different revisions should be indexed separately.""" + # Create a second node revision + user = await clean_session.get(User, minimal_node_revision.created_by_id) + node2 = Node( + name="test.loader.source_node_2", + type=NodeType.SOURCE, + created_by_id=user.id, + ) + clean_session.add(node2) + await clean_session.flush() + + revision2 = NodeRevision( + name=node2.name, + node_id=node2.id, + type=NodeType.SOURCE, + version="1", + columns=[Column(name="col1", type=IntegerType(), order=0)], + created_by_id=user.id, + ) + clean_session.add(revision2) + await clean_session.flush() + + # Create availabilities + avail1 = AvailabilityState( + catalog="analytics", + schema_="mat", + table="preagg_rev1", + valid_through_ts=9999999999, + ) + avail2 = AvailabilityState( + catalog="analytics", + schema_="mat", + table="preagg_rev2", + valid_through_ts=9999999999, + ) + clean_session.add_all([avail1, avail2]) + await clean_session.flush() + + # Create pre-aggs for different revisions + preagg1 = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["dim1"], + measures=[make_measure("sum_a", "a")], + columns=[], + sql="SELECT a", + grain_group_hash="hash_rev1", + availability_id=avail1.id, + ) + preagg2 = PreAggregation( + node_revision_id=revision2.id, + grain_columns=["dim2"], + measures=[make_measure("sum_b", "b")], + columns=[], + sql="SELECT b", + grain_group_hash="hash_rev2", + availability_id=avail2.id, + ) + clean_session.add_all([preagg1, preagg2]) + await clean_session.flush() + + ctx = BuildContext( + session=clean_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=True, + ) + ctx._parent_revision_ids = {minimal_node_revision.id, revision2.id} + + await load_available_preaggs(ctx) + + # Should have entries for both revision IDs + assert minimal_node_revision.id in ctx.available_preaggs + assert revision2.id in ctx.available_preaggs + assert len(ctx.available_preaggs[minimal_node_revision.id]) == 1 + assert len(ctx.available_preaggs[revision2.id]) == 1 + + @pytest.mark.asyncio + async def test_no_matching_preaggs_in_db( + self, + clean_session: AsyncSession, + minimal_node_revision: NodeRevision, + ): + """When no pre-aggs match the revision IDs, available_preaggs should be empty.""" + ctx = BuildContext( + session=clean_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=True, + ) + # Use a revision ID that doesn't exist in the database + ctx._parent_revision_ids = {999999} + + await load_available_preaggs(ctx) + + assert ctx.available_preaggs == {} + + @pytest.mark.asyncio + async def test_only_loads_preaggs_for_requested_revision_ids( + self, + clean_session: AsyncSession, + minimal_node_revision: NodeRevision, + ): + """Should only load pre-aggs for revision IDs in _parent_revision_ids.""" + # Create a second revision that we won't request + user = await clean_session.get(User, minimal_node_revision.created_by_id) + node2 = Node( + name="test.loader.other_node", + type=NodeType.SOURCE, + created_by_id=user.id, + ) + clean_session.add(node2) + await clean_session.flush() + + other_revision = NodeRevision( + name=node2.name, + node_id=node2.id, + type=NodeType.SOURCE, + version="1", + columns=[Column(name="col1", type=IntegerType(), order=0)], + created_by_id=user.id, + ) + clean_session.add(other_revision) + await clean_session.flush() + + # Create availabilities + avail1 = AvailabilityState( + catalog="analytics", + schema_="mat", + table="preagg_wanted", + valid_through_ts=9999999999, + ) + avail2 = AvailabilityState( + catalog="analytics", + schema_="mat", + table="preagg_unwanted", + valid_through_ts=9999999999, + ) + clean_session.add_all([avail1, avail2]) + await clean_session.flush() + + # Create pre-aggs - one for each revision + wanted_preagg = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["dim1"], + measures=[make_measure("sum_a", "a")], + columns=[], + sql="SELECT a", + grain_group_hash="hash_wanted", + availability_id=avail1.id, + ) + unwanted_preagg = PreAggregation( + node_revision_id=other_revision.id, + grain_columns=["dim2"], + measures=[make_measure("sum_b", "b")], + columns=[], + sql="SELECT b", + grain_group_hash="hash_unwanted", + availability_id=avail2.id, + ) + clean_session.add_all([wanted_preagg, unwanted_preagg]) + await clean_session.flush() + + ctx = BuildContext( + session=clean_session, + metrics=["test.metric"], + dimensions=[], + use_materialized=True, + ) + # Only request the first revision + ctx._parent_revision_ids = {minimal_node_revision.id} + + await load_available_preaggs(ctx) + + # Should only have the wanted pre-agg + assert minimal_node_revision.id in ctx.available_preaggs + assert other_revision.id not in ctx.available_preaggs + assert len(ctx.available_preaggs[minimal_node_revision.id]) == 1 diff --git a/datajunction-server/tests/construction/build_v3/measures_sql_test.py b/datajunction-server/tests/construction/build_v3/measures_sql_test.py new file mode 100644 index 000000000..faaa3fa62 --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/measures_sql_test.py @@ -0,0 +1,3062 @@ +import pytest +from . import assert_sql_equal, get_first_grain_group +from datajunction_server.construction.build_v3.builder import build_measures_sql + + +# All base metrics from order_details +ORDER_DETAILS_BASE_METRICS = [ + "v3.total_revenue", + "v3.total_quantity", + "v3.order_count", + "v3.customer_count", +] + +# All base metrics from page_views_enriched +PAGE_VIEWS_BASE_METRICS = [ + "v3.page_view_count", + "v3.product_view_count", + "v3.session_count", + "v3.visitor_count", +] + +# Derived metrics - same fact ratios (order_details) +SAME_FACT_DERIVED_ORDER = [ + "v3.avg_order_value", # revenue / orders + "v3.avg_items_per_order", # quantity / orders + "v3.revenue_per_customer", # revenue / customers +] + +# Derived metrics - same fact ratios (page_views) +SAME_FACT_DERIVED_PAGE = [ + "v3.pages_per_session", # page_views / sessions +] + +# Derived metrics - cross-fact ratios +CROSS_FACT_DERIVED = [ + "v3.conversion_rate", # orders / visitors (order_details page_views) + "v3.revenue_per_visitor", # revenue / visitors (order_details page_views) + "v3.revenue_per_page_view", # revenue / page_views (order_details page_views) +] + +# Derived metrics - period-over-period (window functions, aggregability: NONE) +PERIOD_OVER_PERIOD = [ + "v3.wow_revenue_change", + "v3.wow_order_growth", + "v3.mom_revenue_change", +] + +# Nested derived metrics - metrics that reference other derived metrics +NESTED_DERIVED_METRICS = [ + "v3.wow_aov_change", # window function on avg_order_value (derived) + "v3.aov_growth_index", # simple derived from avg_order_value + "v3.efficiency_ratio", # cross-fact derived from avg_order_value and pages_per_session +] + + +class TestMeasuresSQLEndpoint: + """Tests for the /sql/measures/v3/ endpoint.""" + + @pytest.mark.asyncio + async def test_single_metric_single_dimension(self, client_with_build_v3): + """ + Test the simplest case: one metric, one dimension. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = get_first_grain_group(response.json()) + + # Parse and compare SQL structure + # For single-component metrics, we use the metric name (not hash) + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + assert "_DOT_" not in data["sql"] + assert data["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ] + + @pytest.mark.asyncio + async def test_no_metrics_raises_error(self, client_with_build_v3): + """Test that empty metrics raises an error.""" + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": [], + "dimensions": ["v3.order_details.status"], + }, + ) + + # Should return an error (4xx status) + assert response.status_code >= 400 + + @pytest.mark.asyncio + async def test_nonexistent_metric_raises_error(self, client_with_build_v3): + """Test that nonexistent metric raises an error.""" + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["nonexistent.metric"], + "dimensions": ["v3.order_details.status"], + }, + ) + + # Should return an error + assert response.status_code >= 400 + assert "not found" in response.text.lower() + + @pytest.mark.asyncio + async def test_metrics_with_no_dimensions(self, client_with_build_v3): + """ + Test requesting metrics with no dimensions (global aggregation). + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": [ + "v3.total_revenue", + "v3.max_unit_price", + "v3.min_unit_price", + ], + "dimensions": [], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert len(result["grain_groups"]) == 1 + gg = result["grain_groups"][0] + assert gg["grain"] == [] + assert gg["aggregability"] == "full" + + assert_sql_equal( + gg["sql"], + """ + WITH + v3_order_details AS ( + SELECT oi.unit_price, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + + SELECT SUM(t1.line_total) line_total_sum_e1f61696, + MAX(t1.unit_price) unit_price_max_55cff00f, + MIN(t1.unit_price) unit_price_min_55cff00f + FROM v3_order_details t1 + """, + ) + + assert gg["columns"] == [ + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + { + "name": "unit_price_max_55cff00f", + "type": "float", + "semantic_entity": "v3.max_unit_price:unit_price_max_55cff00f", + "semantic_type": "metric_component", + }, + { + "name": "unit_price_min_55cff00f", + "type": "float", + "semantic_entity": "v3.min_unit_price:unit_price_min_55cff00f", + "semantic_type": "metric_component", + }, + ] + + +class TestDimensionJoins: + """Tests for dimension join functionality (Chunk 2).""" + + @pytest.mark.asyncio + async def test_mixed_local_and_joined_dimensions(self, client_with_build_v3): + """ + Test query with both local dimensions and joined dimensions. + + Query: revenue by status (local) and customer name (joined) + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.order_details.status", # Local + "v3.customer.name", # Requires join + ], + }, + ) + + assert response.status_code == 200 + data = get_first_grain_group(response.json()) + + assert_sql_equal( + data["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id, name + FROM default.v3.customers + ), + v3_order_details AS ( + SELECT o.customer_id, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, t2.name, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_customer t2 ON t1.customer_id = t2.customer_id + GROUP BY t1.status, t2.name + """, + ) + + assert "_DOT_" not in data["sql"] + assert data["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "name", + "type": "string", + "semantic_entity": "v3.customer.name", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ] + + @pytest.mark.asyncio + async def test_multiple_metrics_with_dimension_join(self, client_with_build_v3): + """ + Test multiple metrics with a dimension join. + + Query: revenue and quantity by customer name + + Note: v3.customer.name doesn't specify a role, but the dimension link + has role="customer". The system finds the path anyway. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.customer.name"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability and grain + assert gg["aggregability"] == "full" + assert gg["grain"] == ["name"] + assert sorted(gg["metrics"]) == ["v3.total_quantity", "v3.total_revenue"] + + # Validate columns + assert gg["columns"] == [ + { + "name": "name", + "type": "string", + "semantic_entity": "v3.customer.name", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + { + "name": "quantity_sum_06b64d2e", + "type": "bigint", + "semantic_entity": "v3.total_quantity:quantity_sum_06b64d2e", + "semantic_type": "metric_component", + }, + ] + + # Validate SQL + assert_sql_equal( + gg["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id, name + FROM default.v3.customers + ), + v3_order_details AS ( + SELECT o.customer_id, oi.quantity, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t2.name, SUM(t1.line_total) line_total_sum_e1f61696, SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + LEFT OUTER JOIN v3_customer t2 ON t1.customer_id = t2.customer_id + GROUP BY t2.name + """, + ) + + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.customer.name"], + "filters": ["v3.customer.name = 'Abcd'"], + }, + ) + result = response.json() + gg = result["grain_groups"][0] + + # Validate SQL + assert_sql_equal( + gg["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id, name + FROM default.v3.customers + ), + v3_order_details AS ( + SELECT o.customer_id, oi.quantity, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t2.name, SUM(t1.line_total) line_total_sum_e1f61696, SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + LEFT OUTER JOIN v3_customer t2 ON t1.customer_id = t2.customer_id + WHERE t2.name = 'Abcd' + GROUP BY t2.name + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.customer.name"] + + @pytest.mark.asyncio + async def test_multiple_metrics_multiple_dimensions(self, client_with_build_v3): + """ + Test multiple metrics with multiple dimensions. + + Query: revenue and quantity by status and customer name + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": [ + "v3.order_details.status", + "v3.customer.name", + ], + }, + ) + + assert response.status_code == 200 + data = get_first_grain_group(response.json()) + + assert_sql_equal( + data["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id, name + FROM default.v3.customers + ), + v3_order_details AS ( + SELECT o.customer_id, o.status, oi.quantity, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, t2.name, SUM(t1.line_total) line_total_sum_e1f61696, SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + LEFT OUTER JOIN v3_customer t2 ON t1.customer_id = t2.customer_id + GROUP BY t1.status, t2.name + """, + ) + assert data["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "name", + "type": "string", + "semantic_entity": "v3.customer.name", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + { + "name": "quantity_sum_06b64d2e", + "type": "bigint", + "semantic_entity": "v3.total_quantity:quantity_sum_06b64d2e", + "semantic_type": "metric_component", + }, + ] + + @pytest.mark.asyncio + async def test_complex_multi_dimension_multi_role_query(self, client_with_build_v3): + """ + Test a complex query with multiple dimensions across different roles: + - Local dimension: status + - Customer name (via customer role) + - Order date month (via order role) + - Customer registration year (via customer->registration multi-hop) + - Customer home country (via customer->home multi-hop) + + Uses only FULL aggregability metrics (total_revenue, total_quantity, customer_count) + to keep the test simple (single grain group). + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": [ + "v3.total_revenue", + "v3.total_quantity", + "v3.customer_count", + ], + "dimensions": [ + "v3.order_details.status", + "v3.customer.name", + "v3.date.month[order]", + "v3.date.year[customer->registration]", + "v3.location.country[customer->home]", + ], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (all FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability + assert gg["aggregability"] == "full" + + # Should have 5 dimensions + 3 metrics = 8 columns + assert len(gg["columns"]) == 8 + + # The SQL should have multi-hop joins: + # - t2: v3_customer for customer.name (direct) + # - t3: v3_date for date.month[order] (direct) + # - t4: v3_customer -> t5: v3_date for date.year[customer->registration] (multi-hop) + # - t6: v3_customer -> t7: v3_location for location.country[customer->home] (multi-hop) + assert_sql_equal( + gg["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id, + name + FROM default.v3.customers + ), + v3_date AS ( + SELECT date_id, + month, + year + FROM default.v3.dates + ), + v3_location AS ( + SELECT location_id, + country + FROM default.v3.locations + ), + v3_order_details AS ( + SELECT o.customer_id, + o.order_date, + o.status, + oi.quantity, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + + SELECT t1.status, + t2.name, + t3.month month_order, + t5.year year_registration, + t7.country country_home, + SUM(t1.line_total) line_total_sum_e1f61696, + SUM(t1.quantity) quantity_sum_06b64d2e, + hll_sketch_agg(t1.customer_id) customer_id_hll_23002251 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_customer t2 ON t1.customer_id = t2.customer_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + LEFT OUTER JOIN v3_customer t4 ON t1.customer_id = t4.customer_id + LEFT OUTER JOIN v3_date t5 ON t4.registration_date = t5.date_id + LEFT OUTER JOIN v3_customer t6 ON t1.customer_id = t6.customer_id + LEFT OUTER JOIN v3_location t7 ON t6.location_id = t7.location_id + GROUP BY t1.status, t2.name, t3.month, t5.year, t7.country +""", + ) + + # Check all dimension semantic entities + dim_entities = [ + c["semantic_entity"] + for c in gg["columns"] + if c["semantic_type"] == "dimension" + ] + assert "v3.order_details.status" in dim_entities + assert "v3.customer.name" in dim_entities + assert "v3.date.month[order]" in dim_entities + assert "v3.date.year[customer->registration]" in dim_entities + assert "v3.location.country[customer->home]" in dim_entities + + # Check all metrics present + metric_names = [ + c["name"] for c in gg["columns"] if c["semantic_type"] == "metric_component" + ] + assert set(metric_names) == { + "line_total_sum_e1f61696", + "quantity_sum_06b64d2e", + "customer_id_hll_23002251", + } + + # Validate requested_dimensions + assert result["requested_dimensions"] == [ + "v3.order_details.status", + "v3.customer.name", + "v3.date.month[order]", + "v3.date.year[customer->registration]", + "v3.location.country[customer->home]", + ] + + +class TestMeasuresSQLRoles: + @pytest.mark.asyncio + async def test_dimensions_with_multiple_roles_same_dimension( + self, + client_with_build_v3, + ): + """ + Test querying with multiple roles to the same dimension type. + + Uses both from_location and to_location (both link to v3.location with different roles). + Also includes the order date. + + - total_revenue: SUM - FULL aggregability + - order_count: COUNT(DISTINCT order_id) - LIMITED aggregability + + With grain group merging, this produces 1 merged grain group. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.order_count"], + "dimensions": [ + "v3.date.month[order]", # Order date month + "v3.location.country[from]", # From location country + "v3.location.country[to]", # To location country + ], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # With merging, should have 1 merged grain group at finest grain + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Merged group has LIMITED aggregability + assert gg["aggregability"] == "limited" + assert sorted(gg["grain"]) == [ + "country_from", + "country_to", + "month_order", + "order_id", + ] + assert sorted(gg["metrics"]) == ["v3.order_count", "v3.total_revenue"] + + # Validate requested_dimensions + assert result["requested_dimensions"] == [ + "v3.date.month[order]", + "v3.location.country[from]", + "v3.location.country[to]", + ] + + @pytest.mark.asyncio + async def test_dimensions_with_different_date_roles(self, client_with_build_v3): + """ + Test querying order date vs customer registration date (different roles to same dimension). + + Dimension links: + - v3.order_details -> v3.date with role "order" (direct) + - v3.order_details -> v3.customer -> v3.date with role "registration" (multi-hop) + + Only total_revenue (FULL), so 1 grain group. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.date.year[order]", # Order year (direct) + "v3.date.year[customer->registration]", # Customer registration year (multi-hop) + ], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability and grain + assert gg["aggregability"] == "full" + assert gg["grain"] == ["year_order", "year_registration"] + assert gg["metrics"] == ["v3.total_revenue"] + + # Validate columns + assert gg["columns"] == [ + { + "name": "year_order", + "type": "int", + "semantic_entity": "v3.date.year[order]", + "semantic_type": "dimension", + }, + { + "name": "year_registration", + "type": "int", + "semantic_entity": "v3.date.year[customer->registration]", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ] + + # Validate SQL - two separate joins to v3_date for different roles + assert_sql_equal( + gg["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id + FROM v3.src_customers + ), + v3_date AS ( + SELECT date_id, year + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.customer_id, o.order_date, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t2.year year_order, t4.year year_registration, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_date t2 ON t1.order_date = t2.date_id + LEFT OUTER JOIN v3_customer t3 ON t1.customer_id = t3.customer_id + LEFT OUTER JOIN v3_date t4 ON t3.registration_date = t4.date_id + GROUP BY t2.year, t4.year + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == [ + "v3.date.year[order]", + "v3.date.year[customer->registration]", + ] + + @pytest.mark.asyncio + async def test_multi_hop_location_dimension(self, client_with_build_v3): + """ + Test multi-hop dimension path: order_details -> customer -> location (customer's home). + + Compare with direct location roles (from/to) vs the multi-hop customer home location. + Only total_revenue (FULL), so 1 grain group. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.location.country[from]", # From location (direct) + "v3.location.country[customer->home]", # Customer's home location (multi-hop) + ], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability and grain + assert gg["aggregability"] == "full" + assert gg["grain"] == ["country_from", "country_home"] + assert gg["metrics"] == ["v3.total_revenue"] + + # Validate columns + assert gg["columns"] == [ + { + "name": "country_from", + "type": "string", + "semantic_entity": "v3.location.country[from]", + "semantic_type": "dimension", + }, + { + "name": "country_home", + "type": "string", + "semantic_entity": "v3.location.country[customer->home]", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ] + + # Validate SQL + assert_sql_equal( + gg["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id + FROM v3.src_customers + ), + v3_location AS ( + SELECT location_id, country + FROM default.v3.locations + ), + v3_order_details AS ( + SELECT o.customer_id, o.from_location_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t2.country country_from, t4.country country_home, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_location t2 ON t1.from_location_id = t2.location_id + LEFT OUTER JOIN v3_customer t3 ON t1.customer_id = t3.customer_id + LEFT OUTER JOIN v3_location t4 ON t3.location_id = t4.location_id + GROUP BY t2.country, t4.country + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == [ + "v3.location.country[from]", + "v3.location.country[customer->home]", + ] + + @pytest.mark.asyncio + async def test_all_location_roles_in_single_query(self, client_with_build_v3): + """ + Test querying all three location roles in a single query: + - from location (direct, role="from") + - to location (direct, role="to") + - customer home location (multi-hop, role="customer->home") + + This tests that we can have 3 joins to the same dimension table with different paths. + Only total_revenue (FULL), so 1 grain group. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.location.city[from]", + "v3.location.city[to]", + "v3.location.city[customer->home]", + ], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability and grain + assert gg["aggregability"] == "full" + assert gg["grain"] == ["city_from", "city_home", "city_to"] + assert gg["metrics"] == ["v3.total_revenue"] + + # Validate columns - 3 dimensions 1 metric + assert len(gg["columns"]) == 4 + assert gg["columns"][0]["semantic_entity"] == "v3.location.city[from]" + assert gg["columns"][0]["name"] == "city_from" + assert gg["columns"][1]["semantic_entity"] == "v3.location.city[to]" + assert gg["columns"][1]["name"] == "city_to" + assert gg["columns"][2]["semantic_entity"] == "v3.location.city[customer->home]" + assert gg["columns"][2]["name"] == "city_home" + assert ( + gg["columns"][3]["semantic_entity"] + == "v3.total_revenue:line_total_sum_e1f61696" + ) + assert gg["columns"][3]["name"] == "line_total_sum_e1f61696" + + # Validate SQL + assert_sql_equal( + gg["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id + FROM v3.src_customers + ), + v3_location AS ( + SELECT location_id, city + FROM default.v3.locations + ), + v3_order_details AS ( + SELECT o.customer_id, o.from_location_id, o.to_location_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t2.city city_from, t3.city city_to, t5.city city_home, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_location t2 ON t1.from_location_id = t2.location_id + LEFT OUTER JOIN v3_location t3 ON t1.to_location_id = t3.location_id + LEFT OUTER JOIN v3_customer t4 ON t1.customer_id = t4.customer_id + LEFT OUTER JOIN v3_location t5 ON t4.location_id = t5.location_id + GROUP BY t2.city, t3.city, t5.city + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == [ + "v3.location.city[from]", + "v3.location.city[to]", + "v3.location.city[customer->home]", + ] + + +class TestMeasuresSQLMultipleMetrics: + @pytest.mark.asyncio + async def test_two_metrics_same_parent(self, client_with_build_v3): + """ + Test requesting two metrics from the same parent node. + + Query: total_revenue and total_quantity by status + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = get_first_grain_group(response.json()) + + # Parse and compare SQL structure + # Both metrics are single-component, so they use metric names + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, + SUM(t1.line_total) line_total_sum_e1f61696, + SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + assert "_DOT_" not in data["sql"] + assert data["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + { + "name": "quantity_sum_06b64d2e", + "type": "bigint", + "semantic_entity": "v3.total_quantity:quantity_sum_06b64d2e", + "semantic_type": "metric_component", + }, + ] + + @pytest.mark.asyncio + async def test_three_metrics_same_parent(self, client_with_build_v3): + """ + Test requesting three metrics from the same parent node. + + Query: revenue, quantity, and order_count by status + + - total_revenue: SUM - FULL aggregability + - total_quantity: SUM - FULL aggregability + - order_count: COUNT(DISTINCT order_id) - LIMITED aggregability + + With grain group merging, this produces 1 merged grain group at the finest grain. + All metrics from the same parent are merged into one CTE with raw values. + Aggregations are applied in the final metrics SQL layer. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.total_quantity", "v3.order_count"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # With merging, should have 1 merged grain group at finest grain (LIMITED) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Merged group has LIMITED aggregability (worst case) + assert gg["aggregability"] == "limited" + assert gg["grain"] == ["order_id", "status"] + assert sorted(gg["metrics"]) == [ + "v3.order_count", + "v3.total_quantity", + "v3.total_revenue", + ] + + # Columns: dimension grain column 3 raw metric columns + assert len(gg["columns"]) == 4 + assert gg["columns"][0] == { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + } + assert gg["columns"][1] == { + "name": "order_id", + "type": "int", + "semantic_entity": "v3.order_details.order_id", + "semantic_type": "dimension", + } + + # Raw metric columns (for later aggregation) + assert_sql_equal( + gg["sql"], + """ + WITH v3_order_details AS ( + SELECT o.order_id, o.status, oi.quantity, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, t1.order_id, SUM(t1.line_total) line_total_sum_e1f61696, SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.order_details.status"] + + # Validate components are included for materialization planning + assert "components" in gg + assert len(gg["components"]) == 3 + + # Sort by name for deterministic comparison + components = sorted(gg["components"], key=lambda c: c["name"]) + + # order_count component (LIMITED - grain column) + assert components[0] == { + "name": "line_total_sum_e1f61696", + "expression": "line_total", + "aggregation": "SUM", + "merge": "SUM", + "aggregability": "full", + } + + # total_revenue component + assert components[1] == { + "name": "order_id", + "expression": "order_id", + "aggregation": None, + "merge": None, + "aggregability": "limited", + } + + # total_quantity component + assert components[2] == { + "name": "quantity_sum_06b64d2e", + "expression": "quantity", + "aggregation": "SUM", + "merge": "SUM", + "aggregability": "full", + } + + @pytest.mark.asyncio + async def test_page_views_full_metrics(self, client_with_build_v3): + """ + Test FULL aggregability metrics from page_views_enriched. + + Only tests page_view_count and product_view_count (FULL). + Uses page_type as dimension (available on the transform). + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.page_view_count", "v3.product_view_count"], + "dimensions": ["v3.page_views_enriched.page_type"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability and grain + assert gg["aggregability"] == "full" + assert gg["grain"] == ["page_type"] + assert sorted(gg["metrics"]) == ["v3.page_view_count", "v3.product_view_count"] + + # Validate columns + assert gg["columns"] == [ + { + "name": "page_type", + "type": "string", + "semantic_entity": "v3.page_views_enriched.page_type", + "semantic_type": "dimension", + }, + { + "name": "view_id_count_f41e2db4", + "type": "bigint", + "semantic_entity": "v3.page_view_count:view_id_count_f41e2db4", + "semantic_type": "metric_component", + }, + { + "name": "is_product_view_sum_eb3a4b41", + "type": "bigint", + "semantic_entity": "v3.product_view_count:is_product_view_sum_eb3a4b41", + "semantic_type": "metric_component", + }, + ] + + # Validate SQL + assert_sql_equal( + gg["sql"], + """ + WITH v3_page_views_enriched AS ( + SELECT + view_id, + page_type, + CASE WHEN page_type = 'product' THEN 1 ELSE 0 END AS is_product_view + FROM default.v3.page_views + ) + SELECT + t1.page_type, + COUNT(t1.view_id) view_id_count_f41e2db4, + SUM(t1.is_product_view) is_product_view_sum_eb3a4b41 + FROM v3_page_views_enriched t1 + GROUP BY t1.page_type + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.page_views_enriched.page_type"] + + @pytest.mark.asyncio + async def test_order_details_metrics_with_three_dimensions( + self, + client_with_build_v3, + ): + """ + Test order_details base metrics with three dimensions: + - status (local) + - customer name (joined via customer) + - product category (joined via product) + + Metrics have different aggregabilities: + - total_revenue: SUM - FULL + - total_quantity: SUM - FULL + - customer_count: APPROX_COUNT_DISTINCT - FULL + - order_count: COUNT(DISTINCT order_id) - LIMITED + + With grain group merging, this produces 1 merged grain group at finest grain. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ORDER_DETAILS_BASE_METRICS, + "dimensions": [ + "v3.order_details.status", + "v3.customer.name", + "v3.product.category", + ], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # With merging, should have 1 merged grain group at finest grain (LIMITED) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Merged group has LIMITED aggregability (worst case) + assert gg["aggregability"] == "limited" + assert sorted(gg["grain"]) == ["category", "name", "order_id", "status"] + assert sorted(gg["metrics"]) == [ + "v3.customer_count", + "v3.order_count", + "v3.total_quantity", + "v3.total_revenue", + ] + assert "_DOT_" not in gg["sql"] + + # Validate requested_dimensions + assert result["requested_dimensions"] == [ + "v3.order_details.status", + "v3.customer.name", + "v3.product.category", + ] + + +class TestMeasuresSQLCrossFact: + @pytest.mark.asyncio + async def test_cross_fact_metrics_two_parents(self, client_with_build_v3): + """ + Test metrics from different parent nodes return separate grain groups. + + Query: total_revenue (from order_details) and page_view_count (from page_views) + + This produces two grain groups, one for each parent node. + + Both facts link to v3.product (without roles), so we can use that as a + shared dimension. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.page_view_count"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have exactly two grain groups (one per parent fact) + assert len(result["grain_groups"]) == 2 + + # Find grain groups by metric for predictable assertions + gg_by_metric = {gg["metrics"][0]: gg for gg in result["grain_groups"]} + + # Validate grain group for total_revenue (from order_details) + gg_revenue = gg_by_metric["v3.total_revenue"] + assert gg_revenue["aggregability"] == "full" + assert gg_revenue["grain"] == ["category"] + assert gg_revenue["metrics"] == ["v3.total_revenue"] + assert gg_revenue["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ] + assert_sql_equal( + gg_revenue["sql"], + """ + WITH + v3_order_details AS ( + SELECT oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT t2.category, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + """, + ) + + # Validate grain group for page_view_count (from page_views_enriched) + gg_pageviews = gg_by_metric["v3.page_view_count"] + assert gg_pageviews["aggregability"] == "full" + assert gg_pageviews["grain"] == ["category"] + assert gg_pageviews["metrics"] == ["v3.page_view_count"] + assert gg_pageviews["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "view_id_count_f41e2db4", + "type": "bigint", + "semantic_entity": "v3.page_view_count:view_id_count_f41e2db4", + "semantic_type": "metric_component", + }, + ] + assert_sql_equal( + gg_pageviews["sql"], + """ + WITH + v3_page_views_enriched AS ( + SELECT view_id, product_id + FROM default.v3.page_views + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT t2.category, COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.product.category"] + assert result["dialect"] == "spark" + + @pytest.mark.asyncio + async def test_cross_fact_metrics_different_aggregabilities( + self, + client_with_build_v3, + ): + """ + Test cross-fact metrics with different aggregabilities. + + - total_revenue (from order_details): FULL aggregability + - session_count (from page_views_enriched): LIMITED aggregability (COUNT DISTINCT) + + Both facts link to v3.product (no role), so v3.product.category is a + valid shared dimension. The LIMITED metric adds session_id to its grain. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.session_count"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have exactly two grain groups (different aggregability different facts) + assert len(result["grain_groups"]) == 2 + + # Find grain groups by metric for predictable assertions + gg_by_metric = {gg["metrics"][0]: gg for gg in result["grain_groups"]} + + # Validate grain group for total_revenue (FULL aggregability from order_details) + gg_revenue = gg_by_metric["v3.total_revenue"] + assert gg_revenue["aggregability"] == "full" + assert gg_revenue["grain"] == ["category"] + assert gg_revenue["metrics"] == ["v3.total_revenue"] + assert gg_revenue["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ] + assert_sql_equal( + gg_revenue["sql"], + """ + WITH + v3_order_details AS ( + SELECT oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT t2.category, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + """, + ) + + # Validate grain group for session_count (LIMITED aggregability from page_views) + # COUNT DISTINCT requires session_id in GROUP BY for re-aggregation + gg_sessions = gg_by_metric["v3.session_count"] + assert gg_sessions["aggregability"] == "limited" + assert gg_sessions["grain"] == ["category", "session_id"] + assert gg_sessions["metrics"] == ["v3.session_count"] + assert gg_sessions["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "session_id", + "type": "string", + "semantic_entity": "v3.page_views_enriched.session_id", + "semantic_type": "dimension", + }, + ] + assert_sql_equal( + gg_sessions["sql"], + """ + WITH + v3_page_views_enriched AS ( + SELECT session_id, product_id + FROM default.v3.page_views + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT t2.category, t1.session_id + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.session_id + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.product.category"] + assert result["dialect"] == "spark" + + @pytest.mark.asyncio + async def test_cross_fact_derived_metric(self, client_with_build_v3): + """ + Test a derived metric that combines metrics from different facts. + + v3.conversion_rate = v3.order_count / v3.visitor_count + - order_count (COUNT DISTINCT order_id) comes from order_details + - visitor_count (COUNT DISTINCT customer_id) comes from page_views_enriched + + Both base metrics have LIMITED aggregability, so their level columns + (order_id and customer_id) are added to the grain for re-aggregation. + + Using v3.product.category as dimension since both facts link to product. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.conversion_rate"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have exactly two grain groups (one per base metric's parent fact) + assert len(result["grain_groups"]) == 2 + + # Find grain groups by metric for predictable assertions + gg_by_metric = {gg["metrics"][0]: gg for gg in result["grain_groups"]} + + # Validate grain group for order_count (LIMITED aggregability from order_details) + # COUNT DISTINCT order_id requires order_id in GROUP BY + gg_orders = gg_by_metric["v3.order_count"] + assert gg_orders["aggregability"] == "limited" + assert gg_orders["grain"] == ["category", "order_id"] + assert gg_orders["metrics"] == ["v3.order_count"] + assert gg_orders["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "order_id", + "type": "int", + "semantic_entity": "v3.order_details.order_id", + "semantic_type": "dimension", + }, + ] + # Joins order_details -> product for category dimension + assert_sql_equal( + gg_orders["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, oi.product_id + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT t2.category, t1.order_id + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.order_id + """, + ) + + # Validate grain group for visitor_count (LIMITED aggregability from page_views) + # COUNT DISTINCT customer_id requires customer_id in GROUP BY + gg_visitors = gg_by_metric["v3.visitor_count"] + assert gg_visitors["aggregability"] == "limited" + assert gg_visitors["grain"] == ["category", "customer_id"] + assert gg_visitors["metrics"] == ["v3.visitor_count"] + assert gg_visitors["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "customer_id", + "type": "int", + "semantic_entity": "v3.page_views_enriched.customer_id", + "semantic_type": "dimension", + }, + ] + # Joins page_views_enriched -> product for category dimension + assert_sql_equal( + gg_visitors["sql"], + """ + WITH + v3_page_views_enriched AS ( + SELECT customer_id, product_id + FROM default.v3.page_views + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT t2.category, t1.customer_id + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.customer_id + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.product.category"] + assert result["dialect"] == "spark" + + @pytest.mark.asyncio + async def test_cross_fact_multiple_derived_metrics(self, client_with_build_v3): + """ + Test multiple cross-fact derived metrics in the same request. + + v3.conversion_rate = order_count / visitor_count + v3.revenue_per_visitor = total_revenue / visitor_count + v3.revenue_per_page_view = total_revenue / page_view_count + + These decompose into base metrics from two facts: + - From order_details: total_revenue (FULL), order_count (LIMITED) + - From page_views_enriched: visitor_count (LIMITED), page_view_count (FULL) + + With grain group merging, each parent produces ONE merged grain group + with raw values at finest grain. Aggregations are applied in metrics SQL. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": [ + "v3.conversion_rate", + "v3.revenue_per_visitor", + "v3.revenue_per_page_view", + ], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # With merging, should have 2 grain groups (one per parent): + # 1. order_details (merged: total_revenue order_count) at LIMITED grain + # 2. page_views_enriched (merged: visitor_count page_view_count) at LIMITED grain + assert len(result["grain_groups"]) == 2 + + # Find grain groups by parent name + gg_order_details = next( + gg + for gg in result["grain_groups"] + if "v3.order_count" in gg["metrics"] or "v3.total_revenue" in gg["metrics"] + ) + gg_page_views = next( + gg + for gg in result["grain_groups"] + if "v3.visitor_count" in gg["metrics"] + or "v3.page_view_count" in gg["metrics"] + ) + + # Validate merged grain group for order_details + assert gg_order_details["aggregability"] == "limited" + assert gg_order_details["grain"] == ["category", "order_id"] + assert sorted(gg_order_details["metrics"]) == [ + "v3.order_count", + "v3.total_revenue", + ] + assert_sql_equal( + gg_order_details["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT t2.category, t1.order_id, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.order_id + """, + ) + + # Validate merged grain group for page_views_enriched + assert gg_page_views["aggregability"] == "limited" + assert gg_page_views["grain"] == ["category", "customer_id"] + assert sorted(gg_page_views["metrics"]) == [ + "v3.page_view_count", + "v3.visitor_count", + ] + assert_sql_equal( + gg_page_views["sql"], + """ + WITH + v3_page_views_enriched AS ( + SELECT view_id, customer_id, product_id + FROM default.v3.page_views + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT t2.category, t1.customer_id, COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.customer_id + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.product.category"] + assert result["dialect"] == "spark" + + +class TestMeasuresSQLComponents: + @pytest.mark.asyncio + async def test_multi_component_metric(self, client_with_build_v3): + """ + Test a metric that decomposes into multiple components. + + AVG(unit_price) decomposes into: + - COUNT(unit_price) - FULL aggregability + - SUM(unit_price) - FULL aggregability + + Both components have FULL aggregability, so there's only 1 grain group. + The measures SQL should output both components with hash-suffixed names, + and semantic_type should be "metric_component" (not "metric"). + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.avg_unit_price"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (both COUNT and SUM are FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability + assert gg["aggregability"] == "full" + + # Validate grain (just the dimension) + assert gg["grain"] == ["status"] + + # Validate metrics covered + assert gg["metrics"] == ["v3.avg_unit_price"] + + # Validate columns: 1 dimension 2 metric components = 3 columns + assert len(gg["columns"]) == 3 + assert gg["columns"][0] == { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + } + # Components have hash suffixes and semantic_type "metric_component" + assert gg["columns"][1]["semantic_type"] == "metric_component" + assert gg["columns"][2]["semantic_type"] == "metric_component" + assert gg["columns"][1]["name"] == "unit_price_count_55cff00f" + assert gg["columns"][2]["name"] == "unit_price_sum_55cff00f" + + # semantic_entity should include component info + assert "v3.avg_unit_price:" in gg["columns"][1]["semantic_entity"] + assert "v3.avg_unit_price:" in gg["columns"][2]["semantic_entity"] + + # Validate SQL + assert_sql_equal( + gg["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.unit_price + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, COUNT(t1.unit_price) unit_price_count_HASH, SUM(t1.unit_price) unit_price_sum_HASH + FROM v3_order_details t1 + GROUP BY t1.status + """, + normalize_aliases=True, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.order_details.status"] + assert result["dialect"] == "spark" + + @pytest.mark.asyncio + async def test_mixed_single_and_multi_component_metrics(self, client_with_build_v3): + """ + Test mixing single-component metrics with multi-component metrics. + + - total_revenue: single component (SUM) → semantic_type: "metric" + - avg_unit_price: multi-component (COUNT SUM) → semantic_type: "metric_component" + + Both are FULL aggregability, so there's only 1 grain group. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.avg_unit_price"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (all FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability + assert gg["aggregability"] == "full" + + # Validate grain + assert gg["grain"] == ["status"] + + # Validate metrics covered (sorted) + assert sorted(gg["metrics"]) == ["v3.avg_unit_price", "v3.total_revenue"] + + # Validate columns: 1 dimension 1 single-component metric 2 multi-component metrics = 4 columns + assert len(gg["columns"]) == 4 + assert gg["columns"][0] == { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + } + # Single-component metric has clean name and type "metric" + assert gg["columns"][1] == { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + } + # Multi-component metrics have type "metric_component" + assert gg["columns"][2]["name"] == "unit_price_count_55cff00f" + assert gg["columns"][3]["name"] == "unit_price_sum_55cff00f" + assert ( + gg["columns"][2]["semantic_entity"] + == "v3.avg_unit_price:unit_price_count_55cff00f" + ) + assert ( + gg["columns"][3]["semantic_entity"] + == "v3.avg_unit_price:unit_price_sum_55cff00f" + ) + + assert gg["columns"][2]["semantic_type"] == "metric_component" + assert gg["columns"][3]["semantic_type"] == "metric_component" + + # Validate SQL + assert_sql_equal( + gg["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.unit_price, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696, COUNT(t1.unit_price) unit_price_count_55cff00f, SUM(t1.unit_price) unit_price_sum_55cff00f + FROM v3_order_details t1 + GROUP BY t1.status + """, + normalize_aliases=False, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.order_details.status"] + assert result["dialect"] == "spark" + + @pytest.mark.asyncio + async def test_multiple_metrics_with_same_component(self, client_with_build_v3): + """ + Test metrics that share components. + + - avg_unit_price: decomposes into COUNT(unit_price) SUM(unit_price) + - total_unit_price: is just SUM(unit_price) (single component) + + Component deduplication is active: SUM(unit_price) appears only ONCE. + Both metrics share the same SUM component (unit_price_sum_55cff00f). + The shared component gets the hash suffix from avg_unit_price (multi-component). + + Both are FULL aggregability, so there's only 1 grain group. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.avg_unit_price", "v3.total_unit_price"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (all FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability + assert gg["aggregability"] == "full" + + # Validate grain + assert gg["grain"] == ["status"] + + # Validate metrics covered (sorted) + assert sorted(gg["metrics"]) == ["v3.avg_unit_price", "v3.total_unit_price"] + + # Validate columns: 1 dimension 2 metric columns (WITH sharing) = 3 columns + # SUM(unit_price) is deduplicated - appears once for both avg_unit_price and total_unit_price + assert len(gg["columns"]) == 3 + assert gg["columns"][0] == { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + } + + # Both components come from avg_unit_price (first encountered, multi-component) + assert gg["columns"][1] == { + "name": "unit_price_count_55cff00f", + "type": "bigint", + "semantic_entity": "v3.avg_unit_price:unit_price_count_55cff00f", + "semantic_type": "metric_component", + } + # SUM component is shared - deduplicated to one occurrence + assert gg["columns"][2] == { + "name": "unit_price_sum_55cff00f", + "type": "double", + "semantic_entity": "v3.avg_unit_price:unit_price_sum_55cff00f", + "semantic_type": "metric_component", + } + + # Validate SQL - SUM appears only ONCE (component deduplication is working) + assert_sql_equal( + gg["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.unit_price + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, COUNT(t1.unit_price) unit_price_count_55cff00f, SUM(t1.unit_price) unit_price_sum_55cff00f + FROM v3_order_details t1 + GROUP BY t1.status + """, + normalize_aliases=False, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.order_details.status"] + assert result["dialect"] == "spark" + + +class TestMetricTypesMeasuresSQL: + @pytest.mark.asyncio + async def test_approx_count_distinct_full_aggregability(self, client_with_build_v3): + """ + Test FULL aggregability metric: APPROX_COUNT_DISTINCT(customer_id). + + APPROX_COUNT_DISTINCT uses HyperLogLog sketches which are fully aggregatable. + The measures SQL outputs the sketch aggregation directly. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.customer_count"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + result = response.json() + + # Should have 1 grain group (FULL aggregability) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + + # Validate aggregability + assert gg["aggregability"] == "full" + + # Validate grain + assert gg["grain"] == ["status"] + + # Validate metrics + assert gg["metrics"] == ["v3.customer_count"] + + # Validate columns + # Note: type is "binary" because measures SQL stores the HLL sketch, + # which is then converted to bigint via hll_sketch_estimate in metrics SQL + assert gg["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "customer_id_hll_23002251", + "type": "binary", + "semantic_entity": "v3.customer_count:customer_id_hll_23002251", + "semantic_type": "metric_component", + }, + ] + + # Validate SQL - uses hll_sketch_agg for APPROX_COUNT_DISTINCT + assert_sql_equal( + gg["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.customer_id, o.status + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, hll_sketch_agg(t1.customer_id) customer_id_hll_23002251 + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + # Validate requested_dimensions + assert result["requested_dimensions"] == ["v3.order_details.status"] + + +class TestMeasuresSQLDerived: + @pytest.mark.asyncio + async def test_period_over_period_measures(self, client_with_build_v3): + """ + Test period-over-period metrics through measures SQL. + + v3.wow_revenue_change is a derived metric with LAG() window function. + Measures SQL outputs the base metric (total_revenue) at the requested grain. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.wow_revenue_change"], + "dimensions": ["v3.date.week[order]"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Should have one grain group for the base metric + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + assert gg["aggregability"] == "full" + assert gg["grain"] == ["week_order"] + assert gg["metrics"] == ["v3.total_revenue"] + + assert_sql_equal( + gg["sql"], + """ + WITH + v3_date AS ( + SELECT date_id, + week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_date, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + + SELECT t2.week week_order, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 LEFT OUTER JOIN v3_date t2 ON t1.order_date = t2.date_id + GROUP BY t2.week + """, + ) + + assert gg["columns"] == [ + { + "name": "week_order", + "type": "int", + "semantic_entity": "v3.date.week[order]", + "semantic_type": "dimension", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + ] + + @pytest.mark.asyncio + async def test_all_additional_metrics_combined(self, client_with_build_v3): + """ + Test MIN, MAX, conditional, and standard SUM metrics with multiple dimensions. + + Metrics from order_details: + - v3.max_unit_price: MAX aggregation + - v3.min_unit_price: MIN aggregation + - v3.completed_order_revenue: SUM with CASE WHEN + - v3.total_revenue: SUM (standard) + + Dimensions: + - v3.order_details.status (local) + - v3.product.category (joined) + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": [ + "v3.max_unit_price", + "v3.min_unit_price", + "v3.completed_order_revenue", + "v3.total_revenue", + "v3.price_spread", + "v3.price_spread_pct", + ], + "dimensions": [ + "v3.order_details.status", + "v3.product.category", + ], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # All FULL aggregability, should be one grain group + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + assert gg["aggregability"] == "full" + assert set(gg["grain"]) == {"category", "status"} + assert set(gg["metrics"]) == { + "v3.max_unit_price", + "v3.min_unit_price", + "v3.completed_order_revenue", + "v3.total_revenue", + "v3.price_spread", + "v3.avg_unit_price", + } + + assert_sql_equal( + gg["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, + oi.product_id, + oi.unit_price, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ) + + SELECT t1.status, + t2.category, + MAX(t1.unit_price) unit_price_max_55cff00f, + MIN(t1.unit_price) unit_price_min_55cff00f, + SUM(CASE WHEN t1.status = 'completed' THEN t1.line_total ELSE 0 END) status_line_total_sum_43004dae, + SUM(t1.line_total) line_total_sum_e1f61696, + COUNT(t1.unit_price) unit_price_count_55cff00f, + SUM(t1.unit_price) unit_price_sum_55cff00f + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t1.status, t2.category + """, + ) + + assert gg["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "unit_price_max_55cff00f", + "type": "float", + "semantic_entity": "v3.max_unit_price:unit_price_max_55cff00f", + "semantic_type": "metric_component", + }, + { + "name": "unit_price_min_55cff00f", + "type": "float", + "semantic_entity": "v3.min_unit_price:unit_price_min_55cff00f", + "semantic_type": "metric_component", + }, + { + "name": "status_line_total_sum_43004dae", + "type": "double", + "semantic_entity": "v3.completed_order_revenue:status_line_total_sum_43004dae", + "semantic_type": "metric_component", + }, + { + "name": "line_total_sum_e1f61696", + "type": "double", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + }, + { + "name": "unit_price_count_55cff00f", + "semantic_entity": "v3.avg_unit_price:unit_price_count_55cff00f", + "semantic_type": "metric_component", + "type": "bigint", + }, + { + "name": "unit_price_sum_55cff00f", + "semantic_entity": "v3.avg_unit_price:unit_price_sum_55cff00f", + "semantic_type": "metric_component", + "type": "double", + }, + ] + + +class TestMeasuresSQLFilters: + async def test_simple_filter_on_local_column(self, client_with_build_v3): + """Test a simple filter on a local (fact) column.""" + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "filters": ["status = 'completed'"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + sql = data["grain_groups"][0]["sql"] + + # Should have WHERE clause with the filter + assert "WHERE" in sql + assert "status" in sql + assert "'completed'" in sql + + async def test_filter_on_dimension_column(self, client_with_build_v3): + """Test a filter on a joined dimension column.""" + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "filters": ["v3.product.category = 'Electronics'"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + sql = data["grain_groups"][0]["sql"] + + # Should have WHERE clause referencing the dimension column + assert "WHERE" in sql + assert "category" in sql + assert "'Electronics'" in sql + + async def test_multiple_filters_combined_with_and(self, client_with_build_v3): + """Test multiple filters are combined with AND.""" + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status", "v3.product.category"], + "filters": [ + "v3.order_details.status = 'completed'", + "v3.product.category = 'Electronics'", + ], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + sql = data["grain_groups"][0]["sql"] + + # Should have WHERE clause with both filters combined with AND + assert "WHERE" in sql + assert "AND" in sql + assert "'completed'" in sql + assert "'Electronics'" in sql + + async def test_filter_with_comparison_operators(self, client_with_build_v3): + """Test filters with various comparison operators.""" + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.date.year[order]"], + "filters": ["v3.date.year[order] >= 2024"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + sql = data["grain_groups"][0]["sql"] + + # Should have filter with >= operator + assert "WHERE" in sql + assert ">=" in sql + assert "2024" in sql + + async def test_filter_with_in_operator(self, client_with_build_v3): + """Test filter with IN operator.""" + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "filters": ["status IN ('completed', 'pending')"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + sql = data["grain_groups"][0]["sql"] + + # Should have filter with IN operator + assert "WHERE" in sql + assert "IN" in sql + assert "'completed'" in sql + assert "'pending'" in sql + + +class TestBaseMetricCaching: + """Tests for base metric caching when processing derived metrics.""" + + @pytest.mark.asyncio + async def test_base_metric_plus_derived_that_uses_it(self, client_with_build_v3): + """ + Test requesting both a derived metric AND its base metric. + + When we request ["v3.avg_order_value", "v3.order_count"], the flow is: + 1. Process v3.avg_order_value (derived FIRST) - decomposes base metrics: + - v3.total_revenue is decomposed and cached + - v3.order_count is decomposed and cached + 2. Process v3.order_count (base SECOND) - ALREADY in cache from step 1 + -> This hits the caching path in group_metrics_by_parent (lines 485-493) + + Order matters! Derived must be first to test the cache hit path. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + # Derived first, then base - order matters for cache testing + "metrics": ["v3.avg_order_value", "v3.order_count"], + "dimensions": ["v3.date.month[order]"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Should have one grain group (both metrics from same parent) + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + # Both base metrics (order_count and total_revenue) should be in the grain group + assert "v3.order_count" in gg["metrics"] + assert "v3.total_revenue" in gg["metrics"] + + @pytest.mark.asyncio + async def test_shared_base_metric_across_derived(self, client_with_build_v3): + """ + Test requesting two derived metrics that share a base metric. + + v3.avg_order_value = total_revenue / order_count + v3.avg_items_per_order = total_quantity / order_count + + Both use v3.order_count, so it should only be decomposed once. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.avg_order_value", "v3.avg_items_per_order"], + "dimensions": ["v3.date.month[order]"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Should have one grain group + assert len(result["grain_groups"]) == 1 + + gg = result["grain_groups"][0] + # Should have all three base metrics + assert "v3.total_revenue" in gg["metrics"] + assert "v3.total_quantity" in gg["metrics"] + assert "v3.order_count" in gg["metrics"] + + +class TestTemporalFilters: + """Tests for include_temporal_filters and lookback_window functionality.""" + + @pytest.fixture + async def setup_temporal_partition(self, client_with_build_v3): + """Set up temporal partition on order_date column.""" + # Ensure the temporal partition is configured (may already exist in template) + response = await client_with_build_v3.post( + "/nodes/v3.order_details/columns/order_date/partition", + json={ + "type_": "temporal", + "granularity": "day", + "format": "yyyyMMdd", + }, + ) + assert response.status_code in (200, 201, 409) # 409 = already exists + + @pytest.mark.asyncio + async def test_temporal_filter_exact_partition( + self, + session, + client_with_build_v3, + setup_temporal_partition, + ): + """ + Test that include_temporal_filters=True adds exact partition filter. + + Uses v3.order_details which has order_date configured as a temporal partition. + The filter should be: order_date = CAST(DATE_FORMAT(DJ_LOGICAL_TIMESTAMP(), 'yyyyMMdd') AS INT) + """ + result = await build_measures_sql( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.order_details.status"], + include_temporal_filters=True, + ) + + # Should have DJ_LOGICAL_TIMESTAMP in the SQL for exact partition match + assert_sql_equal( + result.grain_groups[0].sql, + """ + WITH v3_order_details AS ( + SELECT o.order_date, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + WHERE t1.order_date = CAST(DATE_FORMAT(CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP), 'yyyyMMdd') AS INT) + GROUP BY t1.status + """, + ) + + @pytest.mark.asyncio + async def test_temporal_filter_with_lookback( + self, + session, + client_with_build_v3, + setup_temporal_partition, + ): + """ + Test that lookback_window generates BETWEEN filter. + + The filter should be: + order_date BETWEEN CAST(DATE_FORMAT(DJ_LOGICAL_TIMESTAMP() - INTERVAL '3' DAY, 'yyyyMMdd') AS INT) + AND CAST(DATE_FORMAT(DJ_LOGICAL_TIMESTAMP(), 'yyyyMMdd') AS INT) + """ + result = await build_measures_sql( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.order_details.status"], + include_temporal_filters=True, + lookback_window="3 DAY", + ) + + # Should have BETWEEN for lookback window + assert_sql_equal( + result.grain_groups[0].sql, + """ + WITH v3_order_details AS ( + SELECT o.order_date, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + WHERE t1.order_date BETWEEN CAST(DATE_FORMAT(CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP) - INTERVAL '3' DAY, 'yyyyMMdd') AS INT) + AND CAST(DATE_FORMAT(CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP), 'yyyyMMdd') AS INT) + GROUP BY t1.status + """, + ) + + @pytest.mark.asyncio + async def test_no_temporal_filter_when_disabled( + self, + session, + client_with_build_v3, + ): + """ + Test that temporal filters are NOT added when include_temporal_filters=False. + """ + result = await build_measures_sql( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.order_details.status"], + include_temporal_filters=False, # Default, but explicit + ) + + # No temporal filter should be present + assert_sql_equal( + result.grain_groups[0].sql, + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + @pytest.mark.asyncio + async def test_temporal_filter_with_user_filter( + self, + session, + client_with_build_v3, + setup_temporal_partition, + ): + """ + Test that temporal filter is combined with user filters. + + The filter should be: + (order_date = CAST(DATE_FORMAT(DJ_LOGICAL_TIMESTAMP(), 'yyyyMMdd') AS INT)) AND (status = 'active') + """ + result = await build_measures_sql( + session=session, + metrics=["v3.total_revenue"], + dimensions=["v3.order_details.status"], + filters=["status = 'active'"], + include_temporal_filters=True, + ) + + # Should have AND between temporal and user filters + assert_sql_equal( + result.grain_groups[0].sql, + """ + WITH v3_order_details AS ( + SELECT o.order_date, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + WHERE t1.status = 'active' AND t1.order_date = CAST(DATE_FORMAT(CAST(DJ_LOGICAL_TIMESTAMP() AS TIMESTAMP), 'yyyyMMdd') AS INT) + GROUP BY t1.status + """, + ) + + +class TestNonDecomposableMetrics: + """Tests for metrics that cannot be decomposed (Aggregability.NONE).""" + + @pytest.mark.asyncio + async def test_non_decomposable_metric_max_by( + self, + session, + client_with_build_v3, + ): + """ + Test that non-decomposable metrics like MAX_BY are handled. + + MAX_BY cannot be pre-aggregated because it needs access to the full + dataset to determine which row has the maximum value. Since it has + Aggregability.NONE, the query outputs raw rows at native grain + (PK columns) rather than aggregated values. + """ + result = await build_measures_sql( + session=session, + metrics=["v3.top_product_by_revenue"], + dimensions=["v3.order_details.status"], + ) + + # Non-decomposable metrics should have Aggregability.NONE + assert len(result.grain_groups) == 1 + gg = result.grain_groups[0] + assert gg.aggregability.value == "none" + + # The grain should be the native grain (PK columns) since we can't aggregate + # For order_details, native grain is order_id + line_number + assert set(gg.grain) == {"order_id", "line_number"} + + # SQL should output raw values at native grain, not aggregated + assert_sql_equal( + gg.sql, + """ + WITH v3_order_details AS ( + SELECT + o.order_id, + oi.line_number, + o.status, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT + t1.status, + t1.order_id, + t1.line_number, + t1.product_id, + t1.line_total + FROM v3_order_details t1 + """, + ) + + +class TestCombinedMeasuresSQLEndpoint: + """Tests for the /sql/measures/v3/combined endpoint.""" + + @pytest.mark.asyncio + async def test_combined_single_grain_group(self, client_with_build_v3): + """ + Test combined endpoint with metrics from a single parent node. + When there's only one grain group, no JOIN is needed. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Single grain group means no JOIN needed + assert data["grain_groups_combined"] == 1 + assert "status" in data["grain"] + + # Verify SQL structure - single grain group, no JOIN + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + # Verify columns include dimensions and measures + column_names = [col["name"] for col in data["columns"]] + assert "status" in column_names + assert "line_total_sum_e1f61696" in column_names + + @pytest.mark.asyncio + async def test_combined_cross_fact_metrics(self, client_with_build_v3): + """ + Test combined endpoint with metrics from different parent nodes. + Should produce FULL OUTER JOIN with COALESCE. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue", "v3.page_view_count"], + "dimensions": ["v3.date_dim.date_id"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Cross-fact metrics mean multiple grain groups + assert data["grain_groups_combined"] >= 2 + assert "date_id" in data["grain"] + + # Verify SQL structure - FULL OUTER JOIN with COALESCE + assert_sql_equal( + data["sql"], + """ + WITH + v3_order_details AS ( + SELECT oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_page_views_enriched AS ( + SELECT view_id + FROM default.v3.page_views + ), + gg1 AS ( + SELECT t1.date_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.date_id + ), + gg2 AS ( + SELECT t1.date_id, + COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 + GROUP BY t1.date_id + ) + SELECT COALESCE(gg1.date_id, gg2.date_id) date_id, + gg1.line_total_sum_e1f61696, + gg2.view_id_count_f41e2db4 + FROM gg1 FULL OUTER JOIN gg2 ON gg1.date_id = gg2.date_id + """, + ) + + # Verify columns include measures from both sources + column_names = [col["name"] for col in data["columns"]] + assert "date_id" in column_names + assert "line_total_sum_e1f61696" in column_names + assert "view_id_count_f41e2db4" in column_names + + @pytest.mark.asyncio + async def test_combined_endpoint_returns_correct_metadata( + self, + client_with_build_v3, + ): + """ + Test that column metadata is correctly populated. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Verify SQL matches expected structure + assert_sql_equal( + data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + # Check semantic types in columns + columns = {col["name"]: col for col in data["columns"]} + + # Status should be a dimension + assert columns["status"]["semantic_type"] == "dimension" + + # Revenue should be a metric component (semantic type varies based on single-component) + assert columns["line_total_sum_e1f61696"]["semantic_type"] == "metric_component" + + @pytest.mark.asyncio + async def test_combined_empty_metrics_returns_error(self, client_with_build_v3): + """ + Test that empty metrics list returns an error. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": [], + "dimensions": ["v3.order_details.status"], + }, + ) + + # Should return error for empty metrics + assert response.status_code in (400, 422) + + @pytest.mark.asyncio + async def test_combined_source_tables_default(self, client_with_build_v3): + """ + Test that source=source_tables (default) returns source info. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = response.json() + assert data["grain_groups_combined"] == 1 + assert data["use_preagg_tables"] is False + assert data["columns"] == [ + { + "name": "status", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + "type": "string", + }, + { + "name": "line_total_sum_e1f61696", + "semantic_entity": "v3.total_revenue:line_total_sum_e1f61696", + "semantic_type": "metric_component", + "type": "double", + }, + ] + assert data["grain"] == ["status"] + assert data["source_tables"] == ["v3.order_details"] + assert_sql_equal( + data["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + + SELECT t1.status, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + @pytest.mark.asyncio + async def test_combined_source_preagg_tables(self, client_with_build_v3): + """ + Test that source=preagg_tables generates SQL reading from pre-agg tables. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "use_preagg_tables": "true", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Should indicate preagg_tables source + assert data["use_preagg_tables"] is True + + # Source tables should be pre-agg table references + assert len(data["source_tables"]) >= 1 + assert data["source_tables"] == [ + "default.dj_preaggs.v3_order_details_preagg_b18e32ec", + ] + + # Extract the preagg table name for SQL comparison + # The SQL should read from the pre-agg table with re-aggregation + assert_sql_equal( + data["sql"], + """ + SELECT status, SUM(line_total_sum_e1f61696) line_total_sum_e1f61696 + FROM default.dj_preaggs.v3_order_details_preagg_b18e32ec + GROUP BY status + """, + ) + + @pytest.mark.asyncio + async def test_combined_preagg_uses_configured_catalog_schema( + self, + client_with_build_v3, + ): + """ + Test that preagg_tables source uses configured catalog and schema. + """ + # The default settings are: + # preagg_catalog = "default" + # preagg_schema = "dj_preaggs" + + response = await client_with_build_v3.get( + "/sql/measures/v3/combined", + params={ + "use_preagg_tables": "true", + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200 + data = response.json() + + # Source tables should include the default catalog.schema prefix + assert len(data["source_tables"]) >= 1 + assert data["source_tables"] == [ + "default.dj_preaggs.v3_order_details_preagg_b18e32ec", + ] + + # Verify the SQL also references this table + assert_sql_equal( + data["sql"], + """ + SELECT status, SUM(line_total_sum_e1f61696) line_total_sum_e1f61696 + FROM default.dj_preaggs.v3_order_details_preagg_b18e32ec + GROUP BY status + """, + ) + + +class TestMeasuresSQLNestedDerived: + """ + Test measures SQL for nested derived metrics. + + Nested derived metrics are metrics that reference other derived metrics. + For measures SQL, we need to decompose down to the base components. + """ + + @pytest.mark.asyncio + async def test_nested_derived_metric_decomposes_to_base_components( + self, + client_with_build_v3, + ): + """ + Test that a nested derived metric decomposes to its base components. + + v3.aov_growth_index references v3.avg_order_value which references + v3.total_revenue and v3.order_count. + + The measures SQL should contain the base components (line_total_sum, order_id_count). + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.aov_growth_index"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + + # Should have grain groups with base components + assert "grain_groups" in data + assert len(data["grain_groups"]) >= 1 + + # Verify the SQL structure using assert_sql_equal + # Uses merged grain group approach: order_id as grain column for COUNT DISTINCT + gg = data["grain_groups"][0] + assert_sql_equal( + gg["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT + t1.status, + t1.order_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + """, + ) + + @pytest.mark.asyncio + async def test_nested_derived_window_metric_decomposes_to_base_components( + self, + client_with_build_v3, + ): + """ + Test that a window function nested derived metric decomposes correctly. + + v3.wow_aov_change uses LAG() on v3.avg_order_value, which itself + references v3.total_revenue and v3.order_count. + + The measures SQL should contain the base components. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.wow_aov_change"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + + # Should have grain groups with base components + assert "grain_groups" in data + assert len(data["grain_groups"]) >= 1 + + # Verify the SQL structure for the first grain group + # Uses merged grain group approach with week dimension for window function + gg = data["grain_groups"][0] + assert_sql_equal( + gg["sql"], + """ + WITH + v3_date AS ( + SELECT date_id, week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_id, o.order_date, oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT + t2.category, + t3.week, + t1.order_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t2.category, t3.week, t1.order_id + """, + ) + + @pytest.mark.asyncio + async def test_nested_derived_cross_fact_decomposes_to_base_components( + self, + client_with_build_v3, + ): + """ + Test cross-fact nested derived metric decomposition. + + v3.efficiency_ratio = v3.avg_order_value / v3.pages_per_session + + Both intermediate metrics come from different facts, so we should + get grain groups from both order_details and page_views. + """ + response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.efficiency_ratio"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + data = response.json() + + # Should have two grain groups - one from each fact + assert "grain_groups" in data + assert len(data["grain_groups"]) == 2 + + # Find the grain groups by their parent + order_gg = None + page_gg = None + for gg in data["grain_groups"]: + if "order_details" in gg["sql"].lower(): + order_gg = gg + if "page_views" in gg["sql"].lower(): + page_gg = gg + + assert order_gg is not None, "Should have grain group from order_details" + assert page_gg is not None, "Should have grain group from page_views" + + # Verify order_details grain group has components for total_revenue/order_count + # Uses merged grain group approach with order_id as grain column + assert_sql_equal( + order_gg["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ) + SELECT + t2.category, + t1.order_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.order_id + """, + ) + + # Verify page_views grain group has components for page_view_count/session_count + assert_sql_equal( + page_gg["sql"], + """ + WITH + v3_page_views_enriched AS ( + SELECT view_id, + session_id, + product_id + FROM default.v3.page_views + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ) + SELECT t2.category, + t1.session_id, + COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.session_id + """, + ) + + +class TestCubeMaterializeEndpoint: + """Tests for the POST /cubes/{name}/materialize endpoint.""" + + @pytest.mark.asyncio + async def test_cube_materialize_nonexistent_cube_returns_error( + self, + client_with_build_v3, + ): + """ + Test that materialize endpoint returns error for nonexistent cube. + """ + response = await client_with_build_v3.post( + "/cubes/nonexistent.cube/materialize", + json={ + "schedule": "0 0 * * *", + }, + ) + # Should get 404 or 422 because cube not found + assert response.status_code in (404, 422) diff --git a/datajunction-server/tests/construction/build_v3/metrics_sql_test.py b/datajunction-server/tests/construction/build_v3/metrics_sql_test.py new file mode 100644 index 000000000..65a0bdba6 --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/metrics_sql_test.py @@ -0,0 +1,3298 @@ +import pytest +from . import assert_sql_equal + + +class TestMetricsSQLBasic: + @pytest.mark.asyncio + async def test_basic_metrics_sql(self, client_with_build_v3): + """Test that metrics SQL endpoint returns valid SQL.""" + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + # Should return 200 OK with SQL + assert response.status_code == 200 + result = response.json() + assert "sql" in result + assert result["sql"] + assert "SELECT" in result["sql"].upper() + + @pytest.mark.asyncio + async def test_simple_single_metric(self, client_with_build_v3): + """ + Test metrics SQL for a single simple metric (SUM). + + Even for single grain groups, the unified generate_metrics_sql + wraps the result in a grain group CTE (e.g., order_details_0) for consistency. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Should have SQL output with shared CTEs, grain group wrapper, + # and re-aggregation in final SELECT (always applied for consistency) + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + # Should have columns (names match SQL AS aliases) + assert result["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "total_revenue", + "type": "double", + "semantic_entity": "v3.total_revenue", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_multiple_metrics_same_grain(self, client_with_build_v3): + """ + Test metrics SQL for multiple metrics from the same parent. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.total_quantity"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, + oi.quantity, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, + SUM(t1.line_total) line_total_sum_e1f61696, + SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue, + SUM(order_details_0.quantity_sum_06b64d2e) AS total_quantity + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + assert result["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "total_revenue", + "type": "double", + "semantic_entity": "v3.total_revenue", + "semantic_type": "metric", + }, + { + "name": "total_quantity", + "type": "bigint", + "semantic_entity": "v3.total_quantity", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_multi_component_metric(self, client_with_build_v3): + """ + Test metrics SQL for a multi-component metric (AVG). + + AVG decomposes into SUM and COUNT, and the combiner expression + should be applied: SUM(x) / COUNT(x). + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.avg_unit_price"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Should have SQL output with flattened CTEs and GROUP BY for consistency + sql = result["sql"] + assert_sql_equal( + sql, + """ + WITH + v3_order_details AS ( + SELECT o.status, + oi.unit_price + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, + COUNT(t1.unit_price) unit_price_count_55cff00f, + SUM(t1.unit_price) unit_price_sum_55cff00f + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.unit_price_sum_55cff00f) / SUM(order_details_0.unit_price_count_55cff00f) AS avg_unit_price + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + assert result["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "avg_unit_price", + "type": "double", + "semantic_entity": "v3.avg_unit_price", + "semantic_type": "metric", + }, + ] + + +class TestMetricsSQLDerived: + @pytest.mark.asyncio + async def test_derived_metric_ratio(self, client_with_build_v3): + """ + Test metrics SQL for a derived metric (conversion_rate = order_count / visitor_count). + + This is a cross-fact derived metric that requires: + 1. Computing order_count from order_details (COUNT DISTINCT order_id) + 2. Computing visitor_count from page_views (COUNT DISTINCT customer_id) + 3. Dividing them to get conversion_rate + + Only the requested metric (conversion_rate) is in the output - base metrics + are computed internally but not exposed. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.conversion_rate"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, oi.product_id + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT customer_id, product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t2.category, t1.order_id + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.order_id + ), + page_views_enriched_0 AS ( + SELECT t2.category, t1.customer_id + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.customer_id + ) + SELECT COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + CAST(COUNT(DISTINCT order_details_0.order_id) AS DOUBLE) / NULLIF(COUNT(DISTINCT page_views_enriched_0.customer_id), 0) AS conversion_rate + FROM order_details_0 + FULL OUTER JOIN page_views_enriched_0 ON order_details_0.category = page_views_enriched_0.category + GROUP BY order_details_0.category + """, + ) + # Only the derived metric appears in output (not base metrics) + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", # Full dimension reference + "semantic_type": "dimension", + }, + { + "name": "conversion_rate", + "type": "double", + "semantic_entity": "v3.conversion_rate", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_multiple_derived_metrics_same_fact(self, client_with_build_v3): + """ + Test metrics SQL for a derived metric from the same fact. + + avg_order_value = total_revenue / order_count (both from order_details) + + This uses different aggregabilities: + - total_revenue: FULL (SUM) + - order_count: LIMITED (COUNT DISTINCT order_id) + + Only the requested metric (avg_order_value) is in the output. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.avg_order_value", "v3.avg_items_per_order"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # With merged grain groups: + # - CTE aggregates FULL components at finest grain (order_id level) + # - Final SELECT re-aggregates to requested grain (status level) with GROUP BY + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, o.status, oi.quantity, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, t1.order_id, SUM(t1.line_total) line_total_sum_e1f61696, SUM(t1.quantity) quantity_sum_06b64d2e + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT(DISTINCT order_details_0.order_id), 0) AS avg_order_value, + SUM(order_details_0.quantity_sum_06b64d2e) / NULLIF(COUNT(DISTINCT order_details_0.order_id), 0) AS avg_items_per_order + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + # Only the derived metrics appear in output (not base metrics) + assert result["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", # Full dimension reference + "semantic_type": "dimension", + }, + { + "name": "avg_order_value", + "type": "double", + "semantic_entity": "v3.avg_order_value", + "semantic_type": "metric", + }, + { + "name": "avg_items_per_order", + "type": "bigint", + "semantic_entity": "v3.avg_items_per_order", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_derived_metrics_cross_fact(self, client_with_build_v3): + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": [ + "v3.conversion_rate", + "v3.revenue_per_visitor", + "v3.revenue_per_page_view", + ], + "dimensions": [ + "v3.product.category", + "v3.customer.name[customer]", + ], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # With merged grain groups, we get one CTE per parent + # with raw values and aggregations applied in the final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_customer AS ( + SELECT customer_id, + name + FROM default.v3.customers + ), + v3_order_details AS ( + SELECT o.order_id, + o.customer_id, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT view_id, + customer_id, + product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t2.category, + t3.name name_customer, + t1.order_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_customer t3 ON t1.customer_id = t3.customer_id + GROUP BY t2.category, t3.name, t1.order_id + ), + page_views_enriched_0 AS ( + SELECT t2.category, + t3.name name_customer, + t1.customer_id, + COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_customer t3 ON t1.customer_id = t3.customer_id + GROUP BY t2.category, t3.name, t1.customer_id + ) + + SELECT COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + COALESCE(order_details_0.name_customer, page_views_enriched_0.name_customer) AS name_customer, + CAST(COUNT( DISTINCT order_details_0.order_id) AS DOUBLE) / NULLIF(COUNT( DISTINCT page_views_enriched_0.customer_id), 0) AS conversion_rate, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT( DISTINCT page_views_enriched_0.customer_id), 0) AS revenue_per_visitor, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(SUM(page_views_enriched_0.view_id_count_f41e2db4), 0) AS revenue_per_page_view + FROM order_details_0 FULL OUTER JOIN page_views_enriched_0 ON order_details_0.category = page_views_enriched_0.category AND order_details_0.name_customer = page_views_enriched_0.name_customer + GROUP BY order_details_0.category, order_details_0.name_customer + """, + ) + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", # Full dimension reference + "semantic_type": "dimension", + }, + { + "name": "name_customer", + "type": "string", + "semantic_entity": "v3.customer.name[customer]", # Full with role + "semantic_type": "dimension", + }, + { + "name": "conversion_rate", + "type": "double", + "semantic_entity": "v3.conversion_rate", + "semantic_type": "metric", + }, + { + "name": "revenue_per_visitor", + "type": "double", + "semantic_entity": "v3.revenue_per_visitor", + "semantic_type": "metric", + }, + { + "name": "revenue_per_page_view", + "type": "double", + "semantic_entity": "v3.revenue_per_page_view", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_pages_per_session_same_fact_derived(self, client_with_build_v3): + """ + Test same-fact derived metric. + + v3.pages_per_session = v3.page_view_count / v3.session_count + Both base metrics are from page_views_enriched. + + With grain group merging, there's one CTE with raw values + and aggregations are applied in the final SELECT. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.pages_per_session"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # With merged grain groups, we get a single CTE with raw values + # and aggregations in the final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_page_views_enriched AS ( + SELECT view_id, + session_id, + product_id + FROM default.v3.page_views + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ), + page_views_enriched_0 AS ( + SELECT t2.category, + t1.session_id, + COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.session_id + ) + + SELECT COALESCE(page_views_enriched_0.category) AS category, + SUM(page_views_enriched_0.view_id_count_f41e2db4) / NULLIF(COUNT( DISTINCT page_views_enriched_0.session_id), 0) AS pages_per_session + FROM page_views_enriched_0 + GROUP BY page_views_enriched_0.category + """, + ) + + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "pages_per_session", + "type": "bigint", + "semantic_entity": "v3.pages_per_session", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_mom_revenue_change_metrics_sql(self, client_with_build_v3): + """ + Test month-over-month revenue change through metrics SQL. + + v3.mom_revenue_change uses LAG() window function to compare + current month revenue with previous month. + + Window function metrics use a base_metrics CTE to pre-compute + base metrics before applying the window function. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.mom_revenue_change"], + "dimensions": ["v3.date.month[order]"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_date AS ( + SELECT date_id, month + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_date, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t2.month month_order, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_date t2 ON t1.order_date = t2.date_id + GROUP BY t2.month + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.month_order) AS month_order, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.month_order + ) + SELECT + base_metrics.month_order AS month_order, + (base_metrics.total_revenue - LAG(base_metrics.total_revenue, 1) OVER (ORDER BY base_metrics.month_order)) + / NULLIF(LAG(base_metrics.total_revenue, 1) OVER (ORDER BY base_metrics.month_order), 0) * 100 + AS mom_revenue_change + FROM base_metrics + """, + ) + + assert result["columns"] == [ + { + "name": "month_order", + "type": "int", + "semantic_entity": "v3.date.month[order]", + "semantic_type": "dimension", + }, + { + "name": "mom_revenue_change", + "type": "double", + "semantic_entity": "v3.mom_revenue_change", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_mom_without_order_role(self, client_with_build_v3): + """ + Test MoM metric when dimension is requested without [order] role. + + This tests the case where neither the metric's ORDER BY nor the + requested dimension have role suffixes. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.mom_revenue_change"], + "dimensions": ["v3.date.month"], # No [order] suffix + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Should still generate correct SQL with grain-level CTE + assert_sql_equal( + result["sql"], + """ + WITH + v3_date AS ( + SELECT date_id, month + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_date, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t2.month, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_date t2 ON t1.order_date = t2.date_id + GROUP BY t2.month + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.month) AS month, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.month + ) + SELECT + base_metrics.month AS month, + (base_metrics.total_revenue - LAG(base_metrics.total_revenue, 1) OVER (ORDER BY base_metrics.month)) + / NULLIF(LAG(base_metrics.total_revenue, 1) OVER (ORDER BY base_metrics.month), 0) * 100 + AS mom_revenue_change + FROM base_metrics + """, + ) + + assert result["columns"] == [ + { + "name": "month", + "type": "int", + "semantic_entity": "v3.date.month", + "semantic_type": "dimension", + }, + { + "name": "mom_revenue_change", + "type": "double", + "semantic_entity": "v3.mom_revenue_change", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_wow_and_mom_without_order_role(self, client_with_build_v3): + """ + Test WoW and MoM metrics when neither uses [order] role suffix. + + Both metrics and dimensions have no role suffix, testing the + pure no-suffix case for the grain-level CTE logic. + """ + # Create the metric locally for this test + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.wow_revenue_change_no_role", + "description": "Week-over-week revenue change (%) - without [order] role suffix", + "query": """ + SELECT + (v3.total_revenue - LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.week)) + / NULLIF(LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.week), 0) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.week"], + }, + ) + assert response.status_code in (200, 201), response.json() + + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": [ + "v3.wow_revenue_change_no_role", + "v3.mom_revenue_change", + ], + "dimensions": [ + "v3.product.category", + "v3.date.week", + "v3.date.month", + ], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Both WoW and MoM should get grain-level CTEs since we're requesting + # category + week + month, but each metric operates at a different grain + assert_sql_equal( + result["sql"], + """ + WITH v3_date AS ( + SELECT date_id, week, month + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT + t2.category, + t3.week, + t3.month, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t2.category, t3.week, t3.month + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.week) AS week, + COALESCE(order_details_0.month) AS month, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.week, order_details_0.month + ), + order_details_week_agg AS ( + SELECT + order_details_0.category AS category, + order_details_0.week AS week, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.week + ), + order_details_week AS ( + SELECT + order_details_week_agg.category AS category, + order_details_week_agg.week AS week, + (order_details_week_agg.total_revenue - LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week)) + / NULLIF(LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week), 0) * 100 + AS wow_revenue_change_no_role + FROM order_details_week_agg + ), + order_details_month_agg AS ( + SELECT + order_details_0.category AS category, + order_details_0.month AS month, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.month + ), + order_details_month AS ( + SELECT + order_details_month_agg.category AS category, + order_details_month_agg.month AS month, + (order_details_month_agg.total_revenue - LAG(order_details_month_agg.total_revenue, 1) OVER (PARTITION BY order_details_month_agg.category ORDER BY order_details_month_agg.month)) + / NULLIF(LAG(order_details_month_agg.total_revenue, 1) OVER (PARTITION BY order_details_month_agg.category ORDER BY order_details_month_agg.month), 0) * 100 + AS mom_revenue_change + FROM order_details_month_agg + ) + SELECT + base_metrics.category AS category, + base_metrics.week AS week, + base_metrics.month AS month, + order_details_week.wow_revenue_change_no_role AS wow_revenue_change_no_role, + order_details_month.mom_revenue_change AS mom_revenue_change + FROM base_metrics + LEFT OUTER JOIN order_details_week ON base_metrics.category = order_details_week.category AND base_metrics.week = order_details_week.week + LEFT OUTER JOIN order_details_month ON base_metrics.category = order_details_month.category AND base_metrics.month = order_details_month.month + """, + ) + + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "week", + "type": "int", + "semantic_entity": "v3.date.week", + "semantic_type": "dimension", + }, + { + "name": "month", + "type": "int", + "semantic_entity": "v3.date.month", + "semantic_type": "dimension", + }, + { + "name": "wow_revenue_change_no_role", + "type": "double", + "semantic_entity": "v3.wow_revenue_change_no_role", + "semantic_type": "metric", + }, + { + "name": "mom_revenue_change", + "type": "double", + "semantic_entity": "v3.mom_revenue_change", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_filter_in_metrics_sql(self, client_with_build_v3): + """Test that filters are applied in the metrics SQL endpoint.""" + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.product.category"], + "filters": ["v3.product.category = 'Electronics'"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Verify exact SQL structure with WHERE clause in grain group CTE and final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT t2.category, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + WHERE t2.category = 'Electronics' + GROUP BY t2.category + ) + SELECT COALESCE(order_details_0.category) AS category, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + WHERE order_details_0.category = 'Electronics' + GROUP BY order_details_0.category + """, + ) + + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "total_revenue", + "type": "double", + "semantic_entity": "v3.total_revenue", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_filter_cross_fact_metrics(self, client_with_build_v3): + """Test that filters are applied to cross-fact metrics SQL.""" + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.page_view_count"], + "dimensions": ["v3.product.category"], + "filters": ["v3.product.category = 'Electronics'"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Verify WHERE clause is applied to both grain group CTEs and final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT view_id, product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t2.category, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + WHERE t2.category = 'Electronics' + GROUP BY t2.category + ), + page_views_enriched_0 AS ( + SELECT t2.category, COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + WHERE t2.category = 'Electronics' + GROUP BY t2.category + ) + SELECT COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue, + SUM(page_views_enriched_0.view_id_count_f41e2db4) AS page_view_count + FROM order_details_0 + FULL OUTER JOIN page_views_enriched_0 ON order_details_0.category = page_views_enriched_0.category + WHERE order_details_0.category = 'Electronics' + GROUP BY order_details_0.category + """, + ) + + @pytest.mark.asyncio + async def test_filter_on_different_dimension(self, client_with_build_v3): + """Test filter on a dimension different from the GROUP BY dimension.""" + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "filters": ["v3.order_details.status = 'completed'"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Verify WHERE clause on status dimension in both CTE and final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + WHERE t1.status = 'completed' + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + WHERE order_details_0.status = 'completed' + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_filter_with_in_operator(self, client_with_build_v3): + """Test filter with IN operator.""" + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "filters": ["v3.order_details.status IN ('active', 'completed')"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Verify WHERE clause with IN operator in both CTE and final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + WHERE t1.status IN ('active', 'completed') + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + WHERE order_details_0.status IN ('active', 'completed') + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_filter_with_not_equals(self, client_with_build_v3): + """Test filter with != operator.""" + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "filters": ["v3.order_details.status != 'cancelled'"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Verify WHERE clause with != operator in both CTE and final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + WHERE t1.status != 'cancelled' + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + WHERE order_details_0.status != 'cancelled' + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_filter_with_like_operator(self, client_with_build_v3): + """Test filter with LIKE operator.""" + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "filters": ["v3.order_details.status LIKE 'act%'"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Verify WHERE clause with LIKE operator in both CTE and final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + WHERE t1.status LIKE 'act%' + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + WHERE order_details_0.status LIKE 'act%' + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_filter_with_multiple_conditions(self, client_with_build_v3): + """Test filter with multiple AND conditions.""" + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status", "v3.product.category"], + "filters": [ + "v3.order_details.status = 'active'", + "v3.product.category = 'Electronics'", + ], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Verify multiple filter conditions are combined with AND in both CTE and final SELECT + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT t1.status, t2.category, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + WHERE t1.status = 'active' AND t2.category = 'Electronics' + GROUP BY t1.status, t2.category + ) + SELECT COALESCE(order_details_0.status) AS status, + COALESCE(order_details_0.category) AS category, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + WHERE order_details_0.status = 'active' AND order_details_0.category = 'Electronics' + GROUP BY order_details_0.status, order_details_0.category + """, + ) + + +class TestMetricsSQLCrossFact: + @pytest.mark.asyncio + async def test_cross_fact_metrics(self, client_with_build_v3): + """ + Test metrics SQL for metrics from different facts. + + This should JOIN the grain groups together. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.page_view_count"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT view_id, product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t2.category, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + ), + page_views_enriched_0 AS ( + SELECT t2.category, COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category + ) + SELECT COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue, + SUM(page_views_enriched_0.view_id_count_f41e2db4) AS page_view_count + FROM order_details_0 + FULL OUTER JOIN page_views_enriched_0 ON order_details_0.category = page_views_enriched_0.category + GROUP BY order_details_0.category + """, + ) + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", # Full dimension reference + "semantic_type": "dimension", + }, + { + "name": "total_revenue", + "type": "double", + "semantic_entity": "v3.total_revenue", + "semantic_type": "metric", + }, + { + "name": "page_view_count", + "type": "bigint", + "semantic_entity": "v3.page_view_count", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_all_additional_metrics_metrics_sql(self, client_with_build_v3): + """ + Test all additional metrics through the metrics SQL endpoint. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": [ + "v3.max_unit_price", + "v3.min_unit_price", + "v3.completed_order_revenue", + "v3.total_revenue", + "v3.price_spread", + "v3.price_spread_pct", + ], + "dimensions": [ + "v3.order_details.status", + "v3.product.category", + ], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, + oi.product_id, + oi.unit_price, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT t1.status, + t2.category, + MAX(t1.unit_price) unit_price_max_55cff00f, + MIN(t1.unit_price) unit_price_min_55cff00f, + SUM(CASE WHEN t1.status = 'completed' THEN t1.line_total ELSE 0 END) status_line_total_sum_43004dae, + SUM(t1.line_total) line_total_sum_e1f61696, + COUNT(t1.unit_price) unit_price_count_55cff00f, + SUM(t1.unit_price) unit_price_sum_55cff00f + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t1.status, t2.category + ) + + SELECT COALESCE(order_details_0.status) AS status, + COALESCE(order_details_0.category) AS category, + MAX(order_details_0.unit_price_max_55cff00f) AS max_unit_price, + MIN(order_details_0.unit_price_min_55cff00f) AS min_unit_price, + SUM(order_details_0.status_line_total_sum_43004dae) AS completed_order_revenue, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue, + MAX(order_details_0.unit_price_max_55cff00f) - MIN(order_details_0.unit_price_min_55cff00f) AS price_spread, + (MAX(order_details_0.unit_price_max_55cff00f) - MIN(order_details_0.unit_price_min_55cff00f)) / NULLIF(SUM(order_details_0.unit_price_sum_55cff00f) / SUM(order_details_0.unit_price_count_55cff00f), 0) * 100 AS price_spread_pct + FROM order_details_0 + GROUP BY order_details_0.status, order_details_0.category + """, + ) + + assert result["columns"] == [ + { + "name": "status", + "type": "string", + "semantic_entity": "v3.order_details.status", + "semantic_type": "dimension", + }, + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "max_unit_price", + "type": "float", + "semantic_entity": "v3.max_unit_price", + "semantic_type": "metric", + }, + { + "name": "min_unit_price", + "type": "float", + "semantic_entity": "v3.min_unit_price", + "semantic_type": "metric", + }, + { + "name": "completed_order_revenue", + "type": "double", + "semantic_entity": "v3.completed_order_revenue", + "semantic_type": "metric", + }, + { + "name": "total_revenue", + "type": "double", + "semantic_entity": "v3.total_revenue", + "semantic_type": "metric", + }, + { + "name": "price_spread", + "semantic_entity": "v3.price_spread", + "semantic_type": "metric", + "type": "float", + }, + { + "name": "price_spread_pct", + "semantic_entity": "v3.price_spread_pct", + "semantic_type": "metric", + "type": "double", + }, + ] + + @pytest.mark.asyncio + async def test_period_over_period_metrics(self, client_with_build_v3): + """ + Test period-over-period metrics (WoW, MoM) through metrics SQL. + + These use LAG() window functions and require grain-level CTEs + to properly aggregate to weekly/monthly grains before applying + window functions. This ensures COUNT DISTINCT metrics are correctly + re-computed at each grain level. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": [ + "v3.wow_revenue_change", + "v3.wow_order_growth", + "v3.mom_revenue_change", + ], + "dimensions": [ + "v3.product.category", + ], + }, + ) + result = response.json() + assert_sql_equal( + result["sql"], + """ + WITH v3_date AS ( + SELECT + date_id, + week, + month + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT + o.order_id, + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT + product_id, + category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT + t2.category, + t3.month, + t3.week, + t1.order_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t2.category, t3.month, t3.week, t1.order_id + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.month) AS month, + COALESCE(order_details_0.week) AS week, + COUNT(DISTINCT order_details_0.order_id) AS order_count, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.month, order_details_0.week + ), + order_details_week_agg AS ( + SELECT + order_details_0.category AS category, + order_details_0.week AS week, + COUNT(DISTINCT order_details_0.order_id) AS order_count, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.week + ), + order_details_week AS ( + SELECT + order_details_week_agg.category AS category, + order_details_week_agg.week AS week, + (order_details_week_agg.total_revenue - LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week)) + / NULLIF(LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week), 0) * 100 + AS wow_revenue_change, + (CAST(order_details_week_agg.order_count AS DOUBLE) - LAG(CAST(order_details_week_agg.order_count AS DOUBLE), 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week)) + / NULLIF(LAG(CAST(order_details_week_agg.order_count AS DOUBLE), 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week), 0) * 100 + AS wow_order_growth + FROM order_details_week_agg + ), + order_details_month_agg AS ( + SELECT + order_details_0.category AS category, + order_details_0.month AS month, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.month + ), + order_details_month AS ( + SELECT + order_details_month_agg.category AS category, + order_details_month_agg.month AS month, + (order_details_month_agg.total_revenue - LAG(order_details_month_agg.total_revenue, 1) OVER (PARTITION BY order_details_month_agg.category ORDER BY order_details_month_agg.month)) + / NULLIF(LAG(order_details_month_agg.total_revenue, 1) OVER (PARTITION BY order_details_month_agg.category ORDER BY order_details_month_agg.month), 0) * 100 + AS mom_revenue_change + FROM order_details_month_agg + ) + SELECT + base_metrics.category AS category, + base_metrics.month AS month, + base_metrics.week AS week, + order_details_week.wow_revenue_change AS wow_revenue_change, + order_details_week.wow_order_growth AS wow_order_growth, + order_details_month.mom_revenue_change AS mom_revenue_change + FROM base_metrics + LEFT OUTER JOIN order_details_week ON base_metrics.category = order_details_week.category AND base_metrics.week = order_details_week.week + LEFT OUTER JOIN order_details_month ON base_metrics.category = order_details_month.category AND base_metrics.month = order_details_month.month + """, + ) + assert result["columns"] == [ + { + "name": "category", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + "type": "string", + }, + { + "name": "month", + "semantic_entity": "v3.date.month", + "semantic_type": "dimension", + "type": "int", + }, + { + "name": "week", + "semantic_entity": "v3.date.week", + "semantic_type": "dimension", + "type": "int", + }, + { + "name": "wow_revenue_change", + "semantic_entity": "v3.wow_revenue_change", + "semantic_type": "metric", + "type": "double", + }, + { + "name": "wow_order_growth", + "semantic_entity": "v3.wow_order_growth", + "semantic_type": "metric", + "type": "double", + }, + { + "name": "mom_revenue_change", + "semantic_entity": "v3.mom_revenue_change", + "semantic_type": "metric", + "type": "double", + }, + ] + + @pytest.mark.asyncio + async def test_cross_fact_metrics_without_shared_dimensions_raises_error( + self, + client_with_build_v3, + ): + """ + Test that cross-fact metrics without shared dimensions raises an error. + + When requesting metrics from different parent nodes (e.g., order_details + and page_views) without any dimensions, the system cannot join the results + because there are no shared columns. This would produce a CROSS JOIN which + is semantically meaningless. + + This test covers metrics.py lines 428-434. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + # These metrics come from different parent nodes: + # - total_revenue: from v3.order_details + # - page_view_count: from v3.page_views_enriched + "metrics": ["v3.total_revenue", "v3.page_view_count"], + # No dimensions means no columns to join on + "dimensions": [], + }, + ) + + # Should return an error because cross-fact requires shared dimensions + assert response.status_code == 422 or response.status_code == 400 + error_detail = response.json() + assert ( + "Cross-fact metrics" in str(error_detail) + or "shared dimension" in str(error_detail).lower() + ) + + +class TestNonDecomposableMetrics: + """Tests for metrics that cannot be decomposed (Aggregability.NONE).""" + + @pytest.mark.asyncio + async def test_non_decomposable_metric_max_by(self, client_with_build_v3): + """ + Test that non-decomposable metrics like MAX_BY are handled in metrics SQL. + + MAX_BY cannot be pre-aggregated because it needs access to the full + dataset to determine which row has the maximum value. Since it has + Aggregability.NONE, the measures CTE outputs raw rows at native grain + (PK columns), and the final metrics SQL applies MAX_BY over those rows. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.top_product_by_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # The final SQL should apply MAX_BY to get the product with highest revenue + # Since NONE aggregability, measures CTE has raw rows, then final SELECT + # applies the actual aggregation + assert_sql_equal( + result["sql"], + """ + WITH v3_order_details AS ( + SELECT + o.order_id, + oi.line_number, + o.status, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT + t1.status, + t1.order_id, + t1.line_number, + t1.product_id, + t1.line_total + FROM v3_order_details t1 + ) + SELECT COALESCE(order_details_0.status) AS status, + MAX_BY(order_details_0.product_id, order_details_0.line_total) AS top_product_by_revenue + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_trailing_wow_metrics(self, client_with_build_v3): + """ + Test trailing/rolling week-over-week metrics. + + These metrics use frame clauses (ROWS BETWEEN) to compare: + - Last 7 days (ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) + - Previous 7 days (ROWS BETWEEN 13 PRECEDING AND 7 PRECEDING) + + Window function metrics use a base_metrics CTE to pre-compute + base metrics before applying the window function. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.trailing_wow_revenue_change"], + "dimensions": ["v3.product.category"], + }, + ) + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH v3_order_details AS ( + SELECT + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT + product_id, + category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT + t2.category, + t1.order_date date_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.order_date + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.date_id) AS date_id, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.date_id + ) + SELECT + base_metrics.category AS category, + base_metrics.date_id AS date_id, + (SUM(base_metrics.total_revenue) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.date_id ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) - SUM(base_metrics.total_revenue) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.date_id ROWS BETWEEN 13 PRECEDING AND 7 PRECEDING) ) / NULLIF(SUM(base_metrics.total_revenue) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.date_id ROWS BETWEEN 13 PRECEDING AND 7 PRECEDING) , 0) * 100 AS trailing_wow_revenue_change + FROM base_metrics + """, + ) + + assert result["columns"] == [ + { + "name": "category", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + "type": "string", + }, + { + "name": "date_id", + "semantic_entity": "v3.date.date_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "name": "trailing_wow_revenue_change", + "semantic_entity": "v3.trailing_wow_revenue_change", + "semantic_type": "metric", + "type": "double", + }, + ] + + @pytest.mark.asyncio + async def test_trailing_7d_revenue(self, client_with_build_v3): + """ + Test trailing 7-day rolling sum metric. + + This metric computes a rolling 7-day sum using a frame clause. + Window function metrics use a base_metrics CTE to pre-compute + base metrics before applying the window function. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.trailing_7d_revenue"], + "dimensions": ["v3.product.category"], + }, + ) + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH v3_order_details AS ( + SELECT + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT + product_id, + category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT + t2.category, + t1.order_date date_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.order_date + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.date_id) AS date_id, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.date_id + ) + SELECT + base_metrics.category AS category, + base_metrics.date_id AS date_id, + SUM(base_metrics.total_revenue) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.date_id ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) AS trailing_7d_revenue + FROM base_metrics + """, + ) + + assert result["columns"] == [ + { + "name": "category", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + "type": "string", + }, + { + "name": "date_id", + "semantic_entity": "v3.date.date_id", + "semantic_type": "dimension", + "type": "int", + }, + { + "name": "trailing_7d_revenue", + "semantic_entity": "v3.trailing_7d_revenue", + "semantic_type": "metric", + "type": "double", + }, + ] + + +class TestMetricsSQLNestedDerived: + """ + Test nested derived metrics - metrics that reference other derived metrics. + + These test the inline expansion of intermediate derived metrics during + SQL generation. + """ + + @pytest.mark.asyncio + async def test_nested_derived_metric_simple(self, client_with_build_v3): + """ + Test a simple nested derived metric. + + v3.aov_growth_index = v3.avg_order_value / 50.0 * 100 + where v3.avg_order_value = v3.total_revenue / v3.order_count + + The intermediate derived metric (avg_order_value) should be expanded inline + to its component expressions. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.aov_growth_index"], + "dimensions": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # The nested derived metric should expand avg_order_value inline + # avg_order_value = total_revenue / order_count + # aov_growth_index = avg_order_value / 50.0 * 100 + # = (total_revenue / order_count) / 50.0 * 100 + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, t1.order_id, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT(DISTINCT order_details_0.order_id), 0) / 50.0 * 100 AS aov_growth_index + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + # Verify output columns + assert len(result["columns"]) == 2 + assert result["columns"][0]["semantic_entity"] == "v3.order_details.status" + assert result["columns"][1]["semantic_entity"] == "v3.aov_growth_index" + + @pytest.mark.asyncio + async def test_nested_derived_metric_with_window_function( + self, + client_with_build_v3, + ): + """ + Test a nested derived metric with window function. + + v3.wow_aov_change uses LAG() on v3.avg_order_value, which is itself + a derived metric (v3.total_revenue / v3.order_count). + + This requires: + 1. Computing base metrics (total_revenue, order_count) in grain groups + 2. Computing the intermediate derived metric (avg_order_value) in base_metrics CTE + 3. Applying the window function to reference avg_order_value from base_metrics CTE + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.wow_aov_change"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Window function metric requires base_metrics CTE with: + # - Base metrics (total_revenue, order_count) + # - Intermediate derived metric (avg_order_value) pre-computed + # Final SELECT applies LAG on base_metrics.avg_order_value + assert_sql_equal( + result["sql"], + """ + WITH + v3_date AS ( + SELECT date_id, week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_id, o.order_date, oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT t2.category, t3.week, t1.order_id, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t2.category, t3.week, t1.order_id + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.week) AS week, + COUNT(DISTINCT order_details_0.order_id) AS order_count, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT( DISTINCT order_details_0.order_id), 0) AS avg_order_value + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.week + ) + SELECT + base_metrics.category AS category, + base_metrics.week AS week, + (base_metrics.avg_order_value - LAG(base_metrics.avg_order_value, 1) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.week)) + / NULLIF(LAG(base_metrics.avg_order_value, 1) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.week), 0) * 100 + AS wow_aov_change + FROM base_metrics + """, + ) + + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "week", + "type": "int", + "semantic_entity": "v3.date.week", + "semantic_type": "dimension", + }, + { + "name": "wow_aov_change", + "type": "double", + "semantic_entity": "v3.wow_aov_change", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_nested_derived_metric_cross_fact(self, client_with_build_v3): + """ + Test a nested derived metric that references derived metrics from different facts. + + v3.efficiency_ratio = v3.avg_order_value / v3.pages_per_session + where: + - v3.avg_order_value = v3.total_revenue / v3.order_count (from order_details) + - v3.pages_per_session = v3.page_view_count / v3.session_count (from page_views) + + Both intermediate derived metrics should be expanded inline. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.efficiency_ratio"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Cross-fact nested derived metric: + # - Grain group from order_details for total_revenue/order_count components + # - Grain group from page_views for page_view_count/session_count components + # - Final SELECT computes both intermediate metrics and divides + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, oi.product_id, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT view_id, session_id, product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t2.category, t1.order_id, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.order_id + ), + page_views_enriched_0 AS ( + SELECT t2.category, t1.session_id, COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.session_id + ) + SELECT COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT(DISTINCT order_details_0.order_id), 0) + / NULLIF(SUM(page_views_enriched_0.view_id_count_f41e2db4) / NULLIF(COUNT(DISTINCT page_views_enriched_0.session_id), 0), 0) AS efficiency_ratio + FROM order_details_0 + FULL OUTER JOIN page_views_enriched_0 ON order_details_0.category = page_views_enriched_0.category + GROUP BY order_details_0.category + """, + ) + + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "efficiency_ratio", + "type": "double", + "semantic_entity": "v3.efficiency_ratio", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_dod_at_daily_grain(self, client_with_build_v3): + """ + Test day-over-day metric at daily grain. + + DoD uses ORDER BY date_id, so when requesting daily grain (date_id), + no grain-level CTEs are needed - the LAG operates directly at the + requested grain. + """ + # Create the metric locally for this test + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.dod_revenue_change", + "description": "Day-over-day revenue change (%)", + "query": """ + SELECT + (v3.total_revenue - LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.date_id[order])) + / NULLIF(LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.date_id[order]), 0) * 100 + """, + "mode": "published", + }, + ) + assert response.status_code in (200, 201), response.json() + + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.dod_revenue_change"], + "dimensions": ["v3.product.category"], + }, + ) + assert response.status_code == 200, response.json() + result = response.json() + + # DoD at daily grain: LAG operates on base_metrics directly + # PARTITION BY category ensures comparison within each category + assert_sql_equal( + result["sql"], + """ + WITH v3_order_details AS ( + SELECT + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT + t2.category, + t1.order_date date_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + GROUP BY t2.category, t1.order_date + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.date_id) AS date_id, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.date_id + ) + SELECT + base_metrics.category AS category, + base_metrics.date_id AS date_id, + (base_metrics.total_revenue - LAG(base_metrics.total_revenue, 1) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.date_id)) + / NULLIF(LAG(base_metrics.total_revenue, 1) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.date_id), 0) * 100 + AS dod_revenue_change + FROM base_metrics + """, + ) + + @pytest.mark.asyncio + async def test_wow_at_daily_grain(self, client_with_build_v3): + """ + Test week-over-week metric when requesting daily grain. + + WoW uses ORDER BY week, but user requests date_id (daily grain). + This requires grain-level CTEs: + 1. base_metrics: at daily grain (date_id, week, category) + 2. week_metrics_agg: aggregates to weekly grain (week, category) + 3. week_metrics: applies LAG at weekly grain + 4. Final SELECT: joins base_metrics with week_metrics + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.wow_revenue_change"], + "dimensions": [ + "v3.date.date_id[order]", + "v3.product.category", + ], + }, + ) + assert response.status_code == 200, response.json() + result = response.json() + + # WoW at daily grain requires grain-level CTEs: + # - week_metrics_agg: aggregates to weekly grain + # - week_metrics: applies LAG at weekly grain + # - Final SELECT joins base_metrics with week_metrics + # Note: date_id_order is used (not date_id) due to the [order] role suffix + assert_sql_equal( + result["sql"], + """ + WITH v3_date AS ( + SELECT date_id, week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT + t1.order_date date_id_order, + t2.category, + t3.week, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t1.order_date, t2.category, t3.week + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.date_id_order) AS date_id_order, + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.week) AS week, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.date_id_order, order_details_0.category, order_details_0.week + ), + order_details_week_agg AS ( + SELECT + order_details_0.category AS category, + order_details_0.week AS week, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.week + ), + order_details_week AS ( + SELECT + order_details_week_agg.category AS category, + order_details_week_agg.week AS week, + (order_details_week_agg.total_revenue - LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week)) + / NULLIF(LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week), 0) * 100 + AS wow_revenue_change + FROM order_details_week_agg + ) + SELECT + base_metrics.date_id_order AS date_id_order, + base_metrics.category AS category, + base_metrics.week AS week, + order_details_week.wow_revenue_change AS wow_revenue_change + FROM base_metrics + LEFT OUTER JOIN order_details_week ON base_metrics.category = order_details_week.category AND base_metrics.week = order_details_week.week + """, + ) + + @pytest.mark.asyncio + async def test_wow_and_mom_at_daily_grain(self, client_with_build_v3): + """ + Test WoW and MoM metrics together when requesting daily grain. + + Both WoW (ORDER BY week) and MoM (ORDER BY month) require separate + grain-level CTEs since they operate at different grains. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": [ + "v3.wow_revenue_change", + "v3.mom_revenue_change", + ], + "dimensions": [ + "v3.date.date_id[order]", + "v3.product.category", + ], + }, + ) + assert response.status_code == 200, response.json() + result = response.json() + + # Multiple grain-level CTEs for different period comparisons + # Note: date_id_order is used (not date_id) due to the [order] role suffix + assert_sql_equal( + result["sql"], + """ + WITH v3_date AS ( + SELECT date_id, week, month + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT + t1.order_date date_id_order, + t2.category, + t3.month, + t3.week, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t1.order_date, t2.category, t3.month, t3.week + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.date_id_order) AS date_id_order, + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.month) AS month, + COALESCE(order_details_0.week) AS week, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.date_id_order, order_details_0.category, order_details_0.month, order_details_0.week + ), + order_details_week_agg AS ( + SELECT + order_details_0.category AS category, + order_details_0.week AS week, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.week + ), + order_details_week AS ( + SELECT + order_details_week_agg.category AS category, + order_details_week_agg.week AS week, + (order_details_week_agg.total_revenue - LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week)) + / NULLIF(LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week), 0) * 100 + AS wow_revenue_change + FROM order_details_week_agg + ), + order_details_month_agg AS ( + SELECT + order_details_0.category AS category, + order_details_0.month AS month, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.month + ), + order_details_month AS ( + SELECT + order_details_month_agg.category AS category, + order_details_month_agg.month AS month, + (order_details_month_agg.total_revenue - LAG(order_details_month_agg.total_revenue, 1) OVER (PARTITION BY order_details_month_agg.category ORDER BY order_details_month_agg.month)) + / NULLIF(LAG(order_details_month_agg.total_revenue, 1) OVER (PARTITION BY order_details_month_agg.category ORDER BY order_details_month_agg.month), 0) * 100 + AS mom_revenue_change + FROM order_details_month_agg + ) + SELECT + base_metrics.date_id_order AS date_id_order, + base_metrics.category AS category, + base_metrics.month AS month, + base_metrics.week AS week, + order_details_week.wow_revenue_change AS wow_revenue_change, + order_details_month.mom_revenue_change AS mom_revenue_change + FROM base_metrics + LEFT OUTER JOIN order_details_week ON base_metrics.category = order_details_week.category AND base_metrics.week = order_details_week.week + LEFT OUTER JOIN order_details_month ON base_metrics.category = order_details_month.category AND base_metrics.month = order_details_month.month + """, + ) + + @pytest.mark.asyncio + async def test_wow_with_count_distinct_at_daily_grain(self, client_with_build_v3): + """ + Test WoW metrics with COUNT DISTINCT at daily grain. + + This tests the critical case where: + 1. order_count uses COUNT(DISTINCT order_id) - non-additive + 2. total_revenue uses SUM(line_total) - additive + 3. User requests daily grain (date_id[order]) + + The grain-level CTE (week_metrics_agg) must: + - NOT include order_id in GROUP BY (would make COUNT DISTINCT = 1) + - GROUP BY only user-requested dimensions + the ORDER BY dimension + - Re-compute COUNT(DISTINCT order_id) at weekly grain from order_details_0 + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": [ + "v3.wow_order_growth", # Uses COUNT(DISTINCT order_id) + "v3.wow_revenue_change", # Uses SUM(line_total) + ], + "dimensions": [ + "v3.date.date_id[order]", + "v3.product.category", + ], + }, + ) + assert response.status_code == 200, response.json() + result = response.json() + + # Key verification: week_metrics_agg should NOT have order_id in GROUP BY + # It should re-compute COUNT(DISTINCT order_id) at weekly grain + assert_sql_equal( + result["sql"], + """ + WITH v3_date AS ( + SELECT date_id, week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT + o.order_id, + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + order_details_0 AS ( + SELECT + t1.order_date date_id_order, + t2.category, + t3.week, + t1.order_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t1.order_date, t2.category, t3.week, t1.order_id + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.date_id_order) AS date_id_order, + COALESCE(order_details_0.category) AS category, + COALESCE(order_details_0.week) AS week, + COUNT(DISTINCT order_details_0.order_id) AS order_count, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.date_id_order, order_details_0.category, order_details_0.week + ), + order_details_week_agg AS ( + SELECT + order_details_0.category AS category, + order_details_0.week AS week, + COUNT(DISTINCT order_details_0.order_id) AS order_count, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.category, order_details_0.week + ), + order_details_week AS ( + SELECT + order_details_week_agg.category AS category, + order_details_week_agg.week AS week, + (CAST(order_details_week_agg.order_count AS DOUBLE) - LAG(CAST(order_details_week_agg.order_count AS DOUBLE), 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week)) + / NULLIF(LAG(CAST(order_details_week_agg.order_count AS DOUBLE), 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week), 0) * 100 + AS wow_order_growth, + (order_details_week_agg.total_revenue - LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week)) + / NULLIF(LAG(order_details_week_agg.total_revenue, 1) OVER (PARTITION BY order_details_week_agg.category ORDER BY order_details_week_agg.week), 0) * 100 + AS wow_revenue_change + FROM order_details_week_agg + ) + SELECT + base_metrics.date_id_order AS date_id_order, + base_metrics.category AS category, + base_metrics.week AS week, + order_details_week.wow_order_growth AS wow_order_growth, + order_details_week.wow_revenue_change AS wow_revenue_change + FROM base_metrics + LEFT OUTER JOIN order_details_week ON base_metrics.category = order_details_week.category AND base_metrics.week = order_details_week.week + """, + ) + + +class TestMetricsSQLCrossFactWindow: + """Tests for window metrics that span multiple facts.""" + + @pytest.mark.asyncio + async def test_cross_fact_wow_conversion_rate(self, client_with_build_v3): + """ + Test cross-fact window metric: week-over-week conversion rate change. + + v3.wow_conversion_rate_change uses LAG() on v3.conversion_rate, which + is itself a cross-fact derived metric: + conversion_rate = order_count (order_details) / visitor_count (page_views) + + This tests that: + 1. Metrics from both facts are computed in their own grain group CTEs + 2. The base_metrics CTE has FULL OUTER JOIN to combine them + 3. conversion_rate is computed as an intermediate derived metric + 4. The window aggregation CTE uses base_metrics as source (not individual CTEs) + 5. The final SELECT applies LAG on the cross-fact derived metric + """ + # Create the metric locally for this test + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.wow_conversion_rate_change", + "description": ( + "Week-over-week conversion rate change (%). " + "Cross-fact window metric: conversion_rate = order_count (order_details) / visitor_count (page_views). " + "Tests window functions on metrics spanning multiple facts." + ), + "query": """ + SELECT + (v3.conversion_rate - LAG(v3.conversion_rate, 1) OVER (ORDER BY v3.date.week[order])) + / NULLIF(LAG(v3.conversion_rate, 1) OVER (ORDER BY v3.date.week[order]), 0) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.week[order]"], + }, + ) + assert response.status_code in (200, 201), response.json() + + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.wow_conversion_rate_change"], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # For cross-fact window metrics, base_metrics already contains the week + # dimension in its GROUP BY, so the LAG window function can be applied + # directly without additional aggregation CTEs. + # + # Expected structure: + # 1. order_details_0: grain group CTE with order_count components (includes week) + # 2. page_views_enriched_0: grain group CTE with visitor_count components (includes week) + # 3. base_metrics: FULL OUTER JOIN + computes conversion_rate (at week grain) + # 4. Final SELECT: applies LAG directly on base_metrics.conversion_rate + assert_sql_equal( + result["sql"], + """ + WITH + v3_date AS ( + SELECT date_id, week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_id, o.order_date, oi.product_id + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT customer_id, page_date, product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t2.category, t3.week, t1.order_id + FROM v3_order_details t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t2.category, t3.week, t1.order_id + ), + page_views_enriched_0 AS ( + SELECT t2.category, t3.week, t1.customer_id + FROM v3_page_views_enriched t1 + LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.page_date = t3.date_id + GROUP BY t2.category, t3.week, t1.customer_id + ), + base_metrics AS ( + SELECT + COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + COALESCE(order_details_0.week, page_views_enriched_0.week) AS week, + COUNT(DISTINCT order_details_0.order_id) AS order_count, + COUNT(DISTINCT page_views_enriched_0.customer_id) AS visitor_count, + CAST(COUNT(DISTINCT order_details_0.order_id) AS DOUBLE) / NULLIF(COUNT(DISTINCT page_views_enriched_0.customer_id), 0) AS conversion_rate + FROM order_details_0 + FULL OUTER JOIN page_views_enriched_0 ON order_details_0.category = page_views_enriched_0.category AND order_details_0.week = page_views_enriched_0.week + GROUP BY 1, 2 + ) + SELECT + base_metrics.category AS category, + base_metrics.week AS week, + (base_metrics.conversion_rate - LAG(base_metrics.conversion_rate, 1) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.week)) + / NULLIF(LAG(base_metrics.conversion_rate, 1) OVER (PARTITION BY base_metrics.category ORDER BY base_metrics.week), 0) * 100 + AS wow_conversion_rate_change + FROM base_metrics + """, + ) + + assert result["columns"] == [ + { + "name": "category", + "type": "string", + "semantic_entity": "v3.product.category", + "semantic_type": "dimension", + }, + { + "name": "week", + "type": "int", + "semantic_entity": "v3.date.week", + "semantic_type": "dimension", + }, + { + "name": "wow_conversion_rate_change", + "type": "double", + "semantic_entity": "v3.wow_conversion_rate_change", + "semantic_type": "metric", + }, + ] + + @pytest.mark.asyncio + async def test_cross_fact_window_metric_with_finer_grain( + self, + client_with_build_v3, + ): + """ + Test cross-fact window metric when user requests finer grain than ORDER BY. + + This tests the build_window_agg_cte_from_base_metrics code path: + - User requests daily grain (v3.date.date_id) + - Window metric orders by weekly grain (v3.date.week) + - Metric is cross-fact (conversion_rate = order_count / visitor_count) + + Expected behavior: + 1. Grain groups are built at daily grain (include date_id AND week) + 2. base_metrics CTE combines facts with FULL OUTER JOIN at daily grain + 3. A window aggregation CTE reaggregates base_metrics to weekly grain + 4. Window CTE applies LAG on the weekly-aggregated data + 5. Final SELECT joins daily base_metrics with weekly window results + """ + # Create the metric locally for this test + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.wow_conversion_rate_change", + "description": ( + "Week-over-week conversion rate change (%). " + "Cross-fact window metric: conversion_rate = order_count (order_details) / visitor_count (page_views). " + "Tests window functions on metrics spanning multiple facts." + ), + "query": """ + SELECT + (v3.conversion_rate - LAG(v3.conversion_rate, 1) OVER (ORDER BY v3.date.week[order])) + / NULLIF(LAG(v3.conversion_rate, 1) OVER (ORDER BY v3.date.week[order]), 0) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.week[order]"], + }, + ) + assert response.status_code in (200, 201), response.json() + + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.wow_conversion_rate_change"], + "dimensions": ["v3.date.date_id", "v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # Verify the SQL has the expected structure with reaggregation CTE + # The key is that there should be a CTE that aggregates from base_metrics + # to weekly grain before applying the LAG window function + sql = result["sql"] + assert_sql_equal( + sql, + """ + WITH + v3_date AS ( + SELECT date_id, + week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_id, + o.order_date, + oi.product_id + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT customer_id, + page_date, + product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t1.order_date date_id, + t2.category, + t3.week, + t1.order_id + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t1.order_date, t2.category, t3.week, t1.order_id + ), + page_views_enriched_0 AS ( + SELECT t1.page_date date_id, + t2.category, + t3.week, + t1.customer_id + FROM v3_page_views_enriched t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.page_date = t3.date_id + GROUP BY t1.page_date, t2.category, t3.week, t1.customer_id + ), + base_metrics AS ( + SELECT COALESCE(order_details_0.date_id, page_views_enriched_0.date_id) AS date_id, + COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + COALESCE(order_details_0.week, page_views_enriched_0.week) AS week, + COUNT( DISTINCT order_details_0.order_id) AS order_count, + COUNT( DISTINCT page_views_enriched_0.customer_id) AS visitor_count, + CAST(COUNT( DISTINCT order_details_0.order_id) AS DOUBLE) / NULLIF(COUNT( DISTINCT page_views_enriched_0.customer_id), 0) AS conversion_rate + FROM order_details_0 FULL OUTER JOIN page_views_enriched_0 ON order_details_0.date_id = page_views_enriched_0.date_id AND order_details_0.category = page_views_enriched_0.category AND order_details_0.week = page_views_enriched_0.week + GROUP BY 1, 2, 3 + ) + + SELECT base_metrics.date_id AS date_id, + base_metrics.category AS category, + base_metrics.week AS week, + (base_metrics.conversion_rate - LAG(base_metrics.conversion_rate, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week) ) / NULLIF(LAG(base_metrics.conversion_rate, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week) , 0) * 100 AS wow_conversion_rate_change + FROM base_metrics + """, + ) + + @pytest.mark.asyncio + async def test_cross_fact_window_on_derived_metric(self, client_with_build_v3): + """ + Test cross-fact window metric that references a DERIVED metric. + + This tests the derived metric expansion code in build_window_agg_cte_from_base_metrics: + - efficiency_ratio = avg_order_value / pages_per_session + - avg_order_value = total_revenue / order_count (derived from orders) + - pages_per_session = page_view_count / visitor_count (derived from page_views) + - wow_efficiency_ratio_change = LAG(efficiency_ratio, 1) OVER (ORDER BY week) + + This hits lines 1029-1055 in metrics.py where derived metrics are expanded + by replacing column references with parent metric expressions. + """ + # Create the metric locally for this test + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.wow_efficiency_ratio_change", + "description": "Week-over-week efficiency ratio change (%)", + "query": """ + SELECT + (v3.efficiency_ratio - LAG(v3.efficiency_ratio, 1) OVER (ORDER BY v3.date.week[order])) + / NULLIF(LAG(v3.efficiency_ratio, 1) OVER (ORDER BY v3.date.week[order]), 0) * 100 + """, + "mode": "published", + }, + ) + assert response.status_code in (200, 201), response.json() + + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.wow_efficiency_ratio_change"], + "dimensions": ["v3.date.date_id", "v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + sql = result["sql"] + assert_sql_equal( + sql, + """ + WITH + v3_date AS ( + SELECT date_id, + week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_id, + o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT view_id, + session_id, + page_date, + product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t1.order_date date_id, + t2.category, + t3.week, + t1.order_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t1.order_date, t2.category, t3.week, t1.order_id + ), + page_views_enriched_0 AS ( + SELECT t1.page_date date_id, + t2.category, + t3.week, + t1.session_id, + COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.page_date = t3.date_id + GROUP BY t1.page_date, t2.category, t3.week, t1.session_id + ), + base_metrics AS ( + SELECT COALESCE(order_details_0.date_id, page_views_enriched_0.date_id) AS date_id, + COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + COALESCE(order_details_0.week, page_views_enriched_0.week) AS week, + COUNT( DISTINCT order_details_0.order_id) AS order_count, + SUM(page_views_enriched_0.view_id_count_f41e2db4) AS page_view_count, + COUNT( DISTINCT page_views_enriched_0.session_id) AS session_count, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT( DISTINCT order_details_0.order_id), 0) AS avg_order_value, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT( DISTINCT order_details_0.order_id), 0) / NULLIF(SUM(page_views_enriched_0.view_id_count_f41e2db4) / NULLIF(COUNT( DISTINCT page_views_enriched_0.session_id), 0), 0) AS efficiency_ratio, + SUM(page_views_enriched_0.view_id_count_f41e2db4) / NULLIF(COUNT( DISTINCT page_views_enriched_0.session_id), 0) AS pages_per_session + FROM order_details_0 FULL OUTER JOIN page_views_enriched_0 ON order_details_0.date_id = page_views_enriched_0.date_id AND order_details_0.category = page_views_enriched_0.category AND order_details_0.week = page_views_enriched_0.week + GROUP BY 1, 2, 3 + ) + + SELECT base_metrics.date_id AS date_id, + base_metrics.category AS category, + base_metrics.week AS week, + (base_metrics.efficiency_ratio - LAG(base_metrics.efficiency_ratio, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week) ) / NULLIF(LAG(base_metrics.efficiency_ratio, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week) , 0) * 100 AS wow_efficiency_ratio_change + FROM base_metrics""", + ) + + @pytest.mark.asyncio + async def test_cross_fact_window_on_base_metrics(self, client_with_build_v3): + """ + Test cross-fact window metric that directly references BASE metrics. + + This tests the build_window_agg_cte_from_base_metrics code path: + - wow_order_and_visitor_change = LAG(order_count + visitor_count, 1) + - order_count is a base metric from order_details + - visitor_count is a base metric from page_views_enriched + - Both are in grain groups (not derived metrics) + + This should trigger build_window_agg_cte_from_base_metrics because: + 1. It's cross-fact (order_count + visitor_count span multiple facts) + 2. The base metrics ARE in grain groups (unlike derived metrics) + 3. Window ORDER BY grain (week) is coarser than requested grain (date_id) + """ + # Create the metric locally for this test + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.wow_order_and_visitor_change", + "description": "Week-over-week change in orders + visitors", + "query": """ + SELECT + (v3.order_count + v3.visitor_count) + - LAG(v3.order_count + v3.visitor_count, 1) + OVER (ORDER BY v3.date.week[order]) + """, + "mode": "published", + }, + ) + assert response.status_code in (200, 201), response.json() + + # Request with finer grain (date_id) than ORDER BY grain (week) + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.wow_order_and_visitor_change"], + "dimensions": ["v3.date.date_id", "v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + sql = result["sql"] + assert_sql_equal( + sql, + """ + WITH + v3_date AS ( + SELECT date_id, + week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_id, + o.order_date, + oi.product_id + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT customer_id, + page_date, + product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t1.order_date date_id, + t2.category, + t3.week, + t1.order_id + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t1.order_date, t2.category, t3.week, t1.order_id + ), + page_views_enriched_0 AS ( + SELECT t1.page_date date_id, + t2.category, + t3.week, + t1.customer_id + FROM v3_page_views_enriched t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.page_date = t3.date_id + GROUP BY t1.page_date, t2.category, t3.week, t1.customer_id + ), + base_metrics AS ( + SELECT COALESCE(order_details_0.date_id, page_views_enriched_0.date_id) AS date_id, + COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + COALESCE(order_details_0.week, page_views_enriched_0.week) AS week, + COUNT( DISTINCT order_details_0.order_id) AS order_count, + COUNT( DISTINCT page_views_enriched_0.customer_id) AS visitor_count + FROM order_details_0 FULL OUTER JOIN page_views_enriched_0 ON order_details_0.date_id = page_views_enriched_0.date_id AND order_details_0.category = page_views_enriched_0.category AND order_details_0.week = page_views_enriched_0.week + GROUP BY 1, 2, 3 + ), + order_details_week_agg AS ( + SELECT base_metrics.category AS category, + base_metrics.week AS week, + COUNT( DISTINCT base_metrics.order_id) AS order_count, + COUNT( DISTINCT base_metrics.customer_id) AS visitor_count + FROM base_metrics + GROUP BY base_metrics.category, base_metrics.week + ), + order_details_week AS ( + SELECT order_details_week_agg.category AS category, + order_details_week_agg.week AS week, + (order_details_week_agg.order_count + order_details_week_agg.visitor_count) - LAG(order_details_week_agg.order_count + order_details_week_agg.visitor_count, 1) OVER ( PARTITION BY order_details_week_agg.category + ORDER BY order_details_week_agg.week) AS wow_order_and_visitor_change + FROM order_details_week_agg + ) + SELECT base_metrics.date_id AS date_id, + base_metrics.category AS category, + base_metrics.week AS week, + order_details_week.wow_order_and_visitor_change AS wow_order_and_visitor_change + FROM base_metrics LEFT OUTER JOIN order_details_week ON base_metrics.category = order_details_week.category AND base_metrics.week = order_details_week.week + """, + ) + + @pytest.mark.asyncio + async def test_multi_fact_window_metrics_same_grain(self, client_with_build_v3): + """ + Test window metrics from different facts with same ORDER BY grain. + + This tests the critical scenario where: + 1. wow_revenue_change (order_details) uses ORDER BY week + 2. wow_pages_per_session_change (page_views_enriched) uses ORDER BY week + 3. Both have the same ORDER BY grain but come from DIFFERENT facts + + Expected behavior: + - Each fact gets its own window aggregation CTE + - order_details metrics use order_details_0 as source + - page_views metrics use page_views_enriched_0 as source + - They are NOT mixed together + + This is similar to the demo case with thumbs_up_rate_wow_change (thumb_rating) + and avg_download_time_wow_change (download_session). + """ + # Create the metric locally for this test + response = await client_with_build_v3.post( + "/nodes/metric/", + json={ + "name": "v3.wow_pages_per_session_change", + "description": ( + "Week-over-week pages per session change (%). " + "Single-fact window metric from page_views_enriched. " + "Tests that this is separated from order_details window metrics." + ), + "query": """ + SELECT + (v3.pages_per_session - LAG(v3.pages_per_session, 1) OVER (ORDER BY v3.date.week[order])) + / NULLIF(LAG(v3.pages_per_session, 1) OVER (ORDER BY v3.date.week[order]), 0) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.week[order]"], + }, + ) + assert response.status_code in (200, 201), response.json() + + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": [ + "v3.wow_revenue_change", # From order_details + "v3.wow_pages_per_session_change", # From page_views_enriched + ], + "dimensions": ["v3.product.category"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + sql = result["sql"] + assert_sql_equal( + sql, + """ + WITH + v3_date AS ( + SELECT date_id, + week + FROM default.v3.dates + ), + v3_order_details AS ( + SELECT o.order_date, + oi.product_id, + oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + v3_product AS ( + SELECT product_id, + category + FROM default.v3.products + ), + v3_page_views_enriched AS ( + SELECT view_id, + session_id, + page_date, + product_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT t2.category, + t3.week, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.order_date = t3.date_id + GROUP BY t2.category, t3.week + ), + page_views_enriched_0 AS ( + SELECT t2.category, + t3.week, + t1.session_id, + COUNT(t1.view_id) view_id_count_f41e2db4 + FROM v3_page_views_enriched t1 LEFT OUTER JOIN v3_product t2 ON t1.product_id = t2.product_id + LEFT OUTER JOIN v3_date t3 ON t1.page_date = t3.date_id + GROUP BY t2.category, t3.week, t1.session_id + ), + base_metrics AS ( + SELECT COALESCE(order_details_0.category, page_views_enriched_0.category) AS category, + COALESCE(order_details_0.week, page_views_enriched_0.week) AS week, + SUM(page_views_enriched_0.view_id_count_f41e2db4) AS page_view_count, + COUNT( DISTINCT page_views_enriched_0.session_id) AS session_count, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue, + SUM(page_views_enriched_0.view_id_count_f41e2db4) / NULLIF(COUNT( DISTINCT page_views_enriched_0.session_id), 0) AS pages_per_session + FROM order_details_0 FULL OUTER JOIN page_views_enriched_0 ON order_details_0.category = page_views_enriched_0.category AND order_details_0.week = page_views_enriched_0.week + GROUP BY 1, 2 + ) + + SELECT base_metrics.category AS category, + base_metrics.week AS week, + (base_metrics.total_revenue - LAG(base_metrics.total_revenue, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week) ) / NULLIF(LAG(base_metrics.total_revenue, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week) , 0) * 100 AS wow_revenue_change, + (base_metrics.pages_per_session - LAG(base_metrics.pages_per_session, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week) ) / NULLIF(LAG(base_metrics.pages_per_session, 1) OVER ( PARTITION BY base_metrics.category + ORDER BY base_metrics.week) , 0) * 100 AS wow_pages_per_session_change + FROM base_metrics + """, + ) + + +class TestMetricsSQLOrderByLimit: + """Tests for ORDER BY and LIMIT functionality in metrics SQL.""" + + @pytest.mark.asyncio + async def test_order_by_metric_desc(self, client_with_build_v3): + """ + Test ORDER BY a metric in descending order. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "orderby": ["v3.total_revenue DESC"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + ORDER BY total_revenue DESC + """, + ) + + @pytest.mark.asyncio + async def test_order_by_dimension(self, client_with_build_v3): + """ + Test ORDER BY a dimension. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "orderby": ["v3.order_details.status"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + ORDER BY status + """, + ) + + @pytest.mark.asyncio + async def test_limit(self, client_with_build_v3): + """ + Test LIMIT clause. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "limit": 10, + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + LIMIT 10 + """, + ) + + @pytest.mark.asyncio + async def test_order_by_and_limit(self, client_with_build_v3): + """ + Test ORDER BY combined with LIMIT (top N query pattern). + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "orderby": ["v3.total_revenue DESC"], + "limit": 5, + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + ORDER BY total_revenue DESC + LIMIT 5 + """, + ) + + @pytest.mark.asyncio + async def test_order_by_multiple_columns(self, client_with_build_v3): + """ + Test ORDER BY multiple columns (dimension ASC, metric DESC). + + Note: order_count has LIMITED aggregability (COUNT DISTINCT), so the + CTE keeps the finer grain (order_id) and does COUNT DISTINCT in final SELECT. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue", "v3.order_count"], + "dimensions": ["v3.order_details.status"], + "orderby": ["v3.order_details.status ASC", "v3.total_revenue DESC"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, + t1.order_id, + SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue, + COUNT(DISTINCT order_details_0.order_id) AS order_count + FROM order_details_0 + GROUP BY order_details_0.status + ORDER BY status ASC, total_revenue DESC + """, + ) + + @pytest.mark.asyncio + async def test_order_by_invalid_column_ignored(self, client_with_build_v3): + """ + Test that invalid ORDER BY columns are ignored with a warning. + Valid columns should still work. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "orderby": ["v3.nonexistent_column DESC", "v3.total_revenue ASC"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # The invalid column should be skipped, valid one should work + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + ORDER BY total_revenue ASC + """, + ) + + @pytest.mark.asyncio + async def test_order_by_all_invalid_columns(self, client_with_build_v3): + """ + Test that when all ORDER BY columns are invalid, no ORDER BY is added. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + "orderby": ["v3.nonexistent_column DESC"], + }, + ) + + assert response.status_code == 200, response.json() + result = response.json() + + # No ORDER BY should be in the SQL since all columns were invalid + assert_sql_equal( + result["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) diff --git a/datajunction-server/tests/construction/build_v3/preagg_matcher_test.py b/datajunction-server/tests/construction/build_v3/preagg_matcher_test.py new file mode 100644 index 000000000..6f81fcc60 --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/preagg_matcher_test.py @@ -0,0 +1,794 @@ +"""Tests for preagg_matcher.py - Pre-aggregation matching logic.""" + +import pytest +import pytest_asyncio +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.construction.build_v3.preagg_matcher import ( + find_matching_preagg, + get_preagg_measure_column, + get_required_measure_hashes, +) +from datajunction_server.construction.build_v3.types import BuildContext, GrainGroup +from datajunction_server.database.availabilitystate import AvailabilityState +from datajunction_server.database.column import Column +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.preaggregation import ( + PreAggregation, + compute_expression_hash, +) +from datajunction_server.database.user import User +from datajunction_server.models.decompose import ( + Aggregability, + AggregationRule, + MetricComponent, + PreAggMeasure, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.user import OAuthProvider +from datajunction_server.sql.parsing.types import IntegerType + + +def make_component( + name: str, + expression: str, + aggregation: str = "SUM", + merge: str = "SUM", +) -> MetricComponent: + """Helper to create a MetricComponent for testing.""" + return MetricComponent( + name=name, + expression=expression, + aggregation=aggregation, + merge=merge, + rule=AggregationRule(type=Aggregability.FULL), + ) + + +def make_preagg_measure( + name: str, + expression: str, + aggregation: str = "SUM", + merge: str = "SUM", +) -> PreAggMeasure: + """Helper to create a PreAggMeasure with expr_hash for testing.""" + return PreAggMeasure( + name=name, + expression=expression, + aggregation=aggregation, + merge=merge, + rule=AggregationRule(type=Aggregability.FULL), + expr_hash=compute_expression_hash(expression), + ) + + +@pytest_asyncio.fixture +async def test_user(session: AsyncSession) -> User: + """Create a test user.""" + user = User( + username="test_preagg_matcher_user", + email="test_preagg_matcher@test.com", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.flush() + return user + + +@pytest_asyncio.fixture +async def parent_node(session: AsyncSession, test_user: User) -> Node: + """Create a parent node with revision for testing.""" + node = Node( + name="test.preagg.parent_node", + type=NodeType.TRANSFORM, + created_by_id=test_user.id, + ) + session.add(node) + await session.flush() + + revision = NodeRevision( + name=node.name, + node_id=node.id, + type=NodeType.TRANSFORM, + version="1", + columns=[Column(name="col1", type=IntegerType(), order=0)], + created_by_id=test_user.id, + ) + session.add(revision) + await session.flush() + + # Link current revision + node.current_version = "1" + node.current = revision + await session.flush() + + return node + + +@pytest_asyncio.fixture +async def metric_node(session: AsyncSession, test_user: User) -> Node: + """Create a metric node for testing.""" + node = Node( + name="test.preagg.metric", + type=NodeType.METRIC, + created_by_id=test_user.id, + ) + session.add(node) + await session.flush() + + revision = NodeRevision( + name=node.name, + node_id=node.id, + type=NodeType.METRIC, + version="1", + columns=[Column(name="value", type=IntegerType(), order=0)], + created_by_id=test_user.id, + ) + session.add(revision) + await session.flush() + + node.current_version = "1" + node.current = revision + await session.flush() + + return node + + +def make_grain_group( + parent_node: Node, + components: list[tuple[Node, MetricComponent]], +) -> GrainGroup: + """Create a GrainGroup for testing.""" + return GrainGroup( + parent_node=parent_node, + aggregability=Aggregability.FULL, + grain_columns=[], + components=components, + ) + + +class TestGetRequiredMeasureHashes: + """Tests for get_required_measure_hashes function.""" + + @pytest.mark.asyncio + async def test_returns_hashes_for_all_components( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Should return a hash for each component in the grain group.""" + components = [ + (metric_node, make_component("sum_revenue", "price * quantity")), + (metric_node, make_component("sum_quantity", "quantity")), + ] + grain_group = make_grain_group(parent_node, components) + + hashes = get_required_measure_hashes(grain_group) + + assert len(hashes) == 2 + assert compute_expression_hash("price * quantity") in hashes + assert compute_expression_hash("quantity") in hashes + + @pytest.mark.asyncio + async def test_empty_components_returns_empty_set( + self, + session: AsyncSession, + parent_node: Node, + ): + """Should return empty set when grain group has no components.""" + grain_group = make_grain_group(parent_node, []) + + hashes = get_required_measure_hashes(grain_group) + + assert hashes == set() + + @pytest.mark.asyncio + async def test_deduplicates_same_expression( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Components with same expression should result in single hash.""" + # Same expression, different component names + components = [ + (metric_node, make_component("sum_rev_1", "price * quantity")), + (metric_node, make_component("sum_rev_2", "price * quantity")), + ] + grain_group = make_grain_group(parent_node, components) + + hashes = get_required_measure_hashes(grain_group) + + assert len(hashes) == 1 + + +class TestFindMatchingPreagg: + """Tests for find_matching_preagg function.""" + + @pytest.mark.asyncio + async def test_returns_none_when_use_materialized_false( + self, + session: AsyncSession, + parent_node: Node, + ): + """Should return None when use_materialized is disabled.""" + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=False, + ) + grain_group = make_grain_group(parent_node, []) + + result = find_matching_preagg(ctx, parent_node, ["dim1"], grain_group) + + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_when_parent_has_no_current_revision( + self, + session: AsyncSession, + test_user: User, + ): + """Should return None when parent_node.current is None.""" + # Create node without a current revision + node = Node( + name="test.preagg.no_revision", + type=NodeType.TRANSFORM, + created_by_id=test_user.id, + ) + session.add(node) + await session.flush() + + # Explicitly set current to None (node has no revision) + node.current = None + + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + ) + grain_group = make_grain_group(node, []) + + result = find_matching_preagg(ctx, node, ["dim1"], grain_group) + + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_when_no_available_preaggs( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Should return None when no pre-aggs available for the node revision.""" + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + available_preaggs={}, # Empty + ) + + components = [(metric_node, make_component("sum_x", "x"))] + grain_group = make_grain_group(parent_node, components) + + result = find_matching_preagg(ctx, parent_node, ["dim1"], grain_group) + + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_when_no_required_measures( + self, + session: AsyncSession, + parent_node: Node, + ): + """Should return None when grain group has no components.""" + # Create a preagg + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1"], + measures=[make_preagg_measure("sum_x", "x")], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + available_preaggs={parent_node.current.id: [preagg]}, + ) + + grain_group = make_grain_group(parent_node, []) # No components + + result = find_matching_preagg(ctx, parent_node, ["dim1"], grain_group) + + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_when_grain_not_covered( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Should return None when preagg grain doesn't cover requested grain.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + # Pre-agg only has dim1, but we need dim1 and dim2 + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1"], + measures=[make_preagg_measure("sum_x", "x")], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + available_preaggs={parent_node.current.id: [preagg]}, + ) + + components = [(metric_node, make_component("sum_x", "x"))] + grain_group = make_grain_group(parent_node, components) + + result = find_matching_preagg( + ctx, + parent_node, + ["dim1", "dim2"], # Requested grain requires dim2 + grain_group, + ) + + assert result is None + + @pytest.mark.asyncio + async def test_returns_none_when_measures_not_covered( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Should return None when preagg doesn't have required measures.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + # Pre-agg has sum_x, but we need sum_y + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1"], + measures=[make_preagg_measure("sum_x", "x")], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + available_preaggs={parent_node.current.id: [preagg]}, + ) + + components = [(metric_node, make_component("sum_y", "y"))] # Different expr + grain_group = make_grain_group(parent_node, components) + + result = find_matching_preagg(ctx, parent_node, ["dim1"], grain_group) + + assert result is None + + @pytest.mark.asyncio + async def test_returns_matching_preagg( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Should return preagg when grain and measures match.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1", "dim2"], + measures=[ + make_preagg_measure("sum_x", "x"), + make_preagg_measure("sum_y", "y"), + ], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + available_preaggs={parent_node.current.id: [preagg]}, + ) + + components = [(metric_node, make_component("sum_x", "x"))] + grain_group = make_grain_group(parent_node, components) + + result = find_matching_preagg(ctx, parent_node, ["dim1"], grain_group) + + assert result is not None + assert result.id == preagg.id + + @pytest.mark.asyncio + async def test_prefers_smaller_grain( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Should prefer preagg with smaller grain (closer to requested).""" + avail1 = AvailabilityState( + catalog="test", + schema_="test", + table="preagg1", + valid_through_ts=9999999999, + ) + avail2 = AvailabilityState( + catalog="test", + schema_="test", + table="preagg2", + valid_through_ts=9999999999, + ) + session.add_all([avail1, avail2]) + await session.flush() + + # Coarse grain (3 columns) + preagg_coarse = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1", "dim2", "dim3"], + measures=[make_preagg_measure("sum_x", "x")], + sql="SELECT ...", + grain_group_hash="hash_coarse", + availability_id=avail1.id, + ) + # Fine grain (2 columns) - should be preferred + preagg_fine = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1", "dim2"], + measures=[make_preagg_measure("sum_x", "x")], + sql="SELECT ...", + grain_group_hash="hash_fine", + availability_id=avail2.id, + ) + session.add_all([preagg_coarse, preagg_fine]) + await session.flush() + + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + available_preaggs={parent_node.current.id: [preagg_coarse, preagg_fine]}, + ) + + components = [(metric_node, make_component("sum_x", "x"))] + grain_group = make_grain_group(parent_node, components) + + result = find_matching_preagg(ctx, parent_node, ["dim1"], grain_group) + + assert result is not None + assert result.id == preagg_fine.id # Fine grain preferred + + @pytest.mark.asyncio + async def test_exact_grain_match( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Should match when requested grain exactly equals preagg grain.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1", "dim2"], + measures=[make_preagg_measure("sum_x", "x")], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + available_preaggs={parent_node.current.id: [preagg]}, + ) + + components = [(metric_node, make_component("sum_x", "x"))] + grain_group = make_grain_group(parent_node, components) + + result = find_matching_preagg(ctx, parent_node, ["dim1", "dim2"], grain_group) + + assert result is not None + assert result.id == preagg.id + + @pytest.mark.asyncio + async def test_superset_grain_match( + self, + session: AsyncSession, + parent_node: Node, + metric_node: Node, + ): + """Should match when preagg grain is superset of requested grain.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + # Pre-agg has extra dimensions (superset) + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1", "dim2", "dim3"], + measures=[make_preagg_measure("sum_x", "x")], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + ctx = BuildContext( + session=session, + metrics=["test.metric"], + dimensions=["test.dim"], + use_materialized=True, + available_preaggs={parent_node.current.id: [preagg]}, + ) + + components = [(metric_node, make_component("sum_x", "x"))] + grain_group = make_grain_group(parent_node, components) + + # Requesting only dim1 - preagg can roll up + result = find_matching_preagg(ctx, parent_node, ["dim1"], grain_group) + + assert result is not None + assert result.id == preagg.id + + +class TestGetPreaggMeasureColumn: + """Tests for get_preagg_measure_column function.""" + + @pytest.mark.asyncio + async def test_returns_column_name_when_hash_matches( + self, + session: AsyncSession, + parent_node: Node, + ): + """Should return column name when component expr_hash matches.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1"], + measures=[ + make_preagg_measure("total_revenue", "price * quantity"), + make_preagg_measure("total_quantity", "quantity"), + ], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + component = make_component("sum_revenue", "price * quantity") + + result = get_preagg_measure_column(preagg, component) + + assert result == "total_revenue" + + @pytest.mark.asyncio + async def test_returns_none_when_no_match( + self, + session: AsyncSession, + parent_node: Node, + ): + """Should return None when no measure matches the component hash.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1"], + measures=[make_preagg_measure("sum_x", "x")], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + component = make_component("sum_y", "y") # Different expression + + result = get_preagg_measure_column(preagg, component) + + assert result is None + + @pytest.mark.asyncio + async def test_matches_by_expression_not_name( + self, + session: AsyncSession, + parent_node: Node, + ): + """Should match by expression hash, not component name.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1"], + measures=[make_preagg_measure("preagg_col_name", "x * y")], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + # Different name but same expression + component = make_component("different_name", "x * y") + + result = get_preagg_measure_column(preagg, component) + + assert result == "preagg_col_name" + + @pytest.mark.asyncio + async def test_handles_empty_measures( + self, + session: AsyncSession, + parent_node: Node, + ): + """Should return None when preagg has no measures.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1"], + measures=[], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + component = make_component("sum_x", "x") + + result = get_preagg_measure_column(preagg, component) + + assert result is None + + @pytest.mark.asyncio + async def test_handles_measure_without_expr_hash( + self, + session: AsyncSession, + parent_node: Node, + ): + """Should skip measures without expr_hash.""" + avail = AvailabilityState( + catalog="test", + schema_="test", + table="preagg", + valid_through_ts=9999999999, + ) + session.add(avail) + await session.flush() + + # Create a measure without expr_hash + measure_no_hash = PreAggMeasure( + name="sum_x", + expression="x", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + expr_hash=None, # No hash + ) + preagg = PreAggregation( + node_revision_id=parent_node.current.id, + grain_columns=["dim1"], + measures=[measure_no_hash], + sql="SELECT ...", + grain_group_hash="hash1", + availability_id=avail.id, + ) + session.add(preagg) + await session.flush() + + component = make_component("sum_x", "x") + + result = get_preagg_measure_column(preagg, component) + + assert result is None diff --git a/datajunction-server/tests/construction/build_v3/preagg_substitution_test.py b/datajunction-server/tests/construction/build_v3/preagg_substitution_test.py new file mode 100644 index 000000000..809c9d77d --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/preagg_substitution_test.py @@ -0,0 +1,757 @@ +""" +Tests for pre-aggregation substitution in SQL generation. + +These tests focus on the `/sql/metrics/v3` endpoint which is the primary user-facing API. +Each test validates both: +1. Measures SQL (grain group SQL) - intermediate computation +2. Metrics SQL - final query with combiner expressions applied + +Key scenarios: +1. Pre-agg exists with availability -> use materialized table +2. Pre-agg exists without availability -> compute from source +3. No matching pre-agg -> compute from source +4. Grain matching (finer/coarser grain compatibility) +5. Cross-fact metrics with partial pre-agg coverage +6. use_materialized=False -> always compute from source +""" + +import pytest +from . import assert_sql_equal, get_first_grain_group + + +class TestMetricsSQLWithPreAggregation: + """ + Tests for metrics SQL generation with pre-aggregation substitution. + + Each test runs both measures and metrics SQL to validate the full flow: + - Measures SQL produces grain-level data (with pre-agg substitution if available) + - Metrics SQL applies combiner expressions to produce final metric values + """ + + @pytest.mark.asyncio + async def test_simple_metric_no_preagg(self, client_with_build_v3): + """ + Simple FULL aggregability metric without pre-aggregation. + + total_revenue = SUM(line_total) - FULL aggregability + + Measures SQL: Applies SUM at requested grain + Metrics SQL: Wraps in CTE and selects (no additional aggregation needed) + """ + # Measures SQL + measures_response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert measures_response.status_code == 200 + measures_data = get_first_grain_group(measures_response.json()) + + assert_sql_equal( + measures_data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + """, + ) + + # Metrics SQL + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # For a simple metric, metrics SQL wraps the grain group in a CTE + # and applies the combiner (SUM for FULL aggregability) + assert_sql_equal( + metrics_data["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_limited_metric_no_preagg(self, client_with_build_v3): + """ + LIMITED aggregability metric (COUNT DISTINCT) without pre-aggregation. + + order_count = COUNT(DISTINCT order_id) - LIMITED aggregability + + Measures SQL: Outputs grain column (order_id) at finest grain + Metrics SQL: Applies COUNT(DISTINCT) combiner + """ + # Measures SQL - outputs grain column, no aggregation + measures_response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.order_count"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert measures_response.status_code == 200 + measures_data = get_first_grain_group(measures_response.json()) + + # LIMITED aggregability: grain includes order_id, no metric expression + assert measures_data["aggregability"] == "limited" + assert "order_id" in measures_data["grain"] + assert_sql_equal( + measures_data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.order_id, o.status + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, t1.order_id + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + """, + ) + + # Metrics SQL - applies COUNT(DISTINCT) combiner + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.order_count"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # The combiner COUNT(DISTINCT order_id) is applied here + assert_sql_equal( + metrics_data["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, o.status + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, t1.order_id + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + ) + SELECT COALESCE(order_details_0.status) AS status, + COUNT(DISTINCT order_details_0.order_id) AS order_count + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_derived_metric_no_preagg(self, client_with_build_v3): + """ + Derived metric (ratio of two metrics) without pre-aggregation. + + avg_order_value = total_revenue / order_count + - total_revenue: FULL aggregability (SUM) + - order_count: LIMITED aggregability (COUNT DISTINCT) + + Measures SQL: Merged grain group with both components + Metrics SQL: Applies combiners and divides + """ + # Measures SQL + measures_response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.avg_order_value"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert measures_response.status_code == 200 + measures_data = get_first_grain_group(measures_response.json()) + + # Merged grain group at finest grain (LIMITED dominates) + assert measures_data["aggregability"] == "limited" + assert "order_id" in measures_data["grain"] + assert_sql_equal( + measures_data["sql"], + """ + WITH v3_order_details AS ( + SELECT o.order_id, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ) + SELECT t1.status, t1.order_id, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + """, + ) + + # Metrics SQL - applies both combiners and divides + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.avg_order_value"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # avg_order_value = SUM(total_revenue) / COUNT(DISTINCT order_id) + assert_sql_equal( + metrics_data["sql"], + """ + WITH + v3_order_details AS ( + SELECT o.order_id, o.status, oi.quantity * oi.unit_price AS line_total + FROM default.v3.orders o + JOIN default.v3.order_items oi ON o.order_id = oi.order_id + ), + order_details_0 AS ( + SELECT t1.status, t1.order_id, SUM(t1.line_total) line_total_sum_e1f61696 + FROM v3_order_details t1 + GROUP BY t1.status, t1.order_id + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT(DISTINCT order_details_0.order_id), 0) AS avg_order_value + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_simple_metric_with_preagg(self, client_with_build_v3): + """ + Simple FULL aggregability metric WITH pre-aggregation available. + + Both measures and metrics SQL should use the pre-agg table. + """ + # Create pre-agg + plan_response = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert plan_response.status_code == 201 + preagg = plan_response.json()["preaggs"][0] + + # Set availability + await client_with_build_v3.post( + f"/preaggs/{preagg['id']}/availability/", + json={ + "catalog": "warehouse", + "schema_": "preaggs", + "table": "v3_revenue_by_status", + "valid_through_ts": 20250103, + }, + ) + + # Measures SQL - should use pre-agg table + measures_response = await client_with_build_v3.get( + "/sql/measures/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert measures_response.status_code == 200 + measures_data = get_first_grain_group(measures_response.json()) + + # Pre-agg table has hashed column name for the measure + assert_sql_equal( + measures_data["sql"], + """ + SELECT status, SUM(line_total_sum_e1f61696) line_total_sum_e1f61696 + FROM warehouse.preaggs.v3_revenue_by_status + GROUP BY status + """, + ) + + # Metrics SQL - should also use pre-agg table + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + assert_sql_equal( + metrics_data["sql"], + """ + WITH order_details_0 AS ( + SELECT + status, + SUM(line_total_sum_e1f61696) line_total_sum_e1f61696 + FROM warehouse.preaggs.v3_revenue_by_status + GROUP BY status + ) + SELECT + COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_derived_metric_with_preagg(self, client_with_build_v3): + """ + Derived metric with pre-aggregation available for underlying metrics. + + avg_order_value = total_revenue / order_count + + Pre-agg has both total_revenue and order_count at status grain. + """ + # Create pre-agg with both underlying metrics + plan_response = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue", "v3.order_count"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert plan_response.status_code == 201 + preagg = plan_response.json()["preaggs"][0] + + await client_with_build_v3.post( + f"/preaggs/{preagg['id']}/availability/", + json={ + "catalog": "warehouse", + "schema_": "preaggs", + "table": "v3_order_metrics", + "valid_through_ts": 20250103, + }, + ) + + # Metrics SQL for derived metric + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.avg_order_value"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # Uses pre-agg table, applies combiners + # Pre-agg has: total_revenue (aggregated) and order_id grain column (for order_count) + # Note: aggregated columns appear before non-aggregated grain columns + assert_sql_equal( + metrics_data["sql"], + """ + WITH order_details_0 AS ( + SELECT status, + SUM(line_total_sum_e1f61696) line_total_sum_e1f61696, + order_id + FROM warehouse.preaggs.v3_order_metrics + GROUP BY status, order_id + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT(DISTINCT order_details_0.order_id), 0) AS avg_order_value + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + +class TestPreAggGrainMatching: + """Tests for grain compatibility when using pre-aggregations.""" + + @pytest.mark.asyncio + async def test_preagg_at_finer_grain_rolls_up(self, client_with_build_v3): + """ + Pre-agg at finer grain than requested can be used with roll-up. + + Pre-agg: status + customer_id grain + Request: status grain only + Result: SELECT from pre-agg, GROUP BY status (rolls up customer_id) + """ + # Create pre-agg at finer grain + plan_response = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.order_details.status", + "v3.order_details.customer_id", + ], + }, + ) + assert plan_response.status_code == 201 + preagg = plan_response.json()["preaggs"][0] + + await client_with_build_v3.post( + f"/preaggs/{preagg['id']}/availability/", + json={ + "catalog": "warehouse", + "schema_": "preaggs", + "table": "v3_revenue_by_status_customer", + "valid_through_ts": 20250103, + }, + ) + + # Request at coarser grain + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # Uses pre-agg and rolls up customer_id + assert_sql_equal( + metrics_data["sql"], + """ + WITH order_details_0 AS ( + SELECT status, SUM(line_total_sum_e1f61696) line_total_sum_e1f61696 + FROM warehouse.preaggs.v3_revenue_by_status_customer + GROUP BY status + ) + SELECT COALESCE(order_details_0.status) AS status, + SUM(order_details_0.line_total_sum_e1f61696) AS total_revenue + FROM order_details_0 + GROUP BY order_details_0.status + """, + ) + + @pytest.mark.asyncio + async def test_preagg_at_coarser_grain_not_used(self, client_with_build_v3): + """ + Pre-agg at coarser grain than requested CANNOT be used. + + Pre-agg: status grain only + Request: status + customer_id grain + Result: Must compute from source (can't invent customer_id values) + """ + # Create pre-agg at coarser grain + plan_response = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert plan_response.status_code == 201 + preagg = plan_response.json()["preaggs"][0] + + await client_with_build_v3.post( + f"/preaggs/{preagg['id']}/availability/", + json={ + "catalog": "warehouse", + "schema_": "preaggs", + "table": "v3_revenue_by_status_only", + "valid_through_ts": 20250103, + }, + ) + + # Request at finer grain - must compute from source + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": [ + "v3.order_details.status", + "v3.order_details.customer_id", + ], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # Should NOT use pre-agg, computes from source + assert "warehouse.preaggs" not in metrics_data["sql"] + assert ( + "v3_order_details" in metrics_data["sql"] + or "v3.orders" in metrics_data["sql"] + ) + + +class TestCrossFactMetrics: + """Tests for cross-fact derived metrics with pre-aggregation.""" + + @pytest.mark.asyncio + async def test_cross_fact_with_partial_preagg(self, client_with_build_v3): + """ + Cross-fact metric where one fact has pre-agg, other doesn't. + + revenue_per_visitor = total_revenue (order_details) / visitor_count (page_views) + + Pre-agg exists for total_revenue at customer_id grain. + No pre-agg for visitor_count. + """ + # Create pre-agg for order_details only + plan_response = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.customer.customer_id"], + }, + ) + assert plan_response.status_code == 201 + preagg = plan_response.json()["preaggs"][0] + + await client_with_build_v3.post( + f"/preaggs/{preagg['id']}/availability/", + json={ + "catalog": "warehouse", + "schema_": "preaggs", + "table": "v3_revenue_by_customer", + "valid_through_ts": 20250103, + }, + ) + + # Request cross-fact metric + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.revenue_per_visitor"], + "dimensions": ["v3.customer.customer_id"], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # order_details CTE uses pre-agg, page_views CTE computes from source + assert_sql_equal( + metrics_data["sql"], + """ + WITH + v3_page_views_enriched AS ( + SELECT customer_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT customer_id, + SUM(line_total_sum_e1f61696) line_total_sum_e1f61696 + FROM warehouse.preaggs.v3_revenue_by_customer + GROUP BY customer_id + ), + page_views_enriched_0 AS ( + SELECT t1.customer_id, + t1.customer_id + FROM v3_page_views_enriched t1 + GROUP BY t1.customer_id, t1.customer_id + ) + + SELECT COALESCE(order_details_0.customer_id, page_views_enriched_0.customer_id) AS customer_id, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT( DISTINCT page_views_enriched_0.customer_id), 0) AS revenue_per_visitor + FROM order_details_0 FULL OUTER JOIN page_views_enriched_0 ON order_details_0.customer_id = page_views_enriched_0.customer_id + GROUP BY order_details_0.customer_id + """, + ) + + async def test_cross_fact_with_full_preagg_coverage(self, client_with_build_v3): + """ + Cross-fact metric where both facts have materialized pre-aggs. + + Both grain groups should read from their respective pre-agg tables, + then FULL OUTER JOIN on the shared dimension. + """ + # Create pre-agg for order_details (revenue) + plan1 = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.customer.customer_id"], + }, + ) + preagg1 = plan1.json()["preaggs"][0] + await client_with_build_v3.post( + f"/preaggs/{preagg1['id']}/availability/", + json={ + "catalog": "warehouse", + "schema_": "preaggs", + "table": "v3_revenue_by_customer", + "valid_through_ts": 20250103, + }, + ) + + # Create pre-agg for page_views (visitor count) + plan2 = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.page_view_count"], # or similar metric from page_views + "dimensions": ["v3.customer.customer_id"], + }, + ) + preagg2 = plan2.json()["preaggs"][0] + await client_with_build_v3.post( + f"/preaggs/{preagg2['id']}/availability/", + json={ + "catalog": "warehouse", + "schema_": "preaggs", + "table": "v3_visitors_by_customer", + "valid_through_ts": 20250103, + }, + ) + + # Request cross-fact metric - should use BOTH pre-aggs + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.revenue_per_visitor"], + "dimensions": ["v3.customer.customer_id"], + }, + ) + # Assert: Both CTEs read from pre-agg tables, FULL OUTER JOINed + sql = response.json()["sql"] + assert_sql_equal( + sql, + """ + WITH v3_page_views_enriched AS ( + SELECT customer_id + FROM default.v3.page_views + ), + order_details_0 AS ( + SELECT customer_id, + SUM(line_total_sum_e1f61696) line_total_sum_e1f61696 + FROM warehouse.preaggs.v3_revenue_by_customer + GROUP BY customer_id + ), + page_views_enriched_0 AS ( + SELECT t1.customer_id, + t1.customer_id + FROM v3_page_views_enriched t1 + GROUP BY t1.customer_id, t1.customer_id + ) + SELECT COALESCE(order_details_0.customer_id, page_views_enriched_0.customer_id) AS customer_id, + SUM(order_details_0.line_total_sum_e1f61696) / NULLIF(COUNT( DISTINCT page_views_enriched_0.customer_id), 0) AS revenue_per_visitor + FROM order_details_0 FULL OUTER JOIN page_views_enriched_0 ON order_details_0.customer_id = page_views_enriched_0.customer_id + GROUP BY order_details_0.customer_id + """, + ) + + @pytest.mark.asyncio + async def test_cross_fact_without_shared_dimension_errors( + self, + client_with_build_v3, + ): + """ + Cross-fact metrics require at least one shared dimension for joining. + """ + response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.revenue_per_visitor"], + "dimensions": [], # No shared dimension! + }, + ) + + assert response.status_code == 422 + result = response.json() + assert "require at least one shared dimension" in result["message"] + + +class TestUseMaterializedFlag: + """Tests for the use_materialized flag behavior.""" + + @pytest.mark.asyncio + async def test_use_materialized_false_ignores_preagg(self, client_with_build_v3): + """ + When use_materialized=False, always compute from source. + + This is used when generating SQL for materialization refresh + to avoid circular references. + """ + # Create pre-agg with availability + plan_response = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_quantity"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert plan_response.status_code == 201 + preagg = plan_response.json()["preaggs"][0] + + await client_with_build_v3.post( + f"/preaggs/{preagg['id']}/availability/", + json={ + "catalog": "warehouse", + "schema_": "preaggs", + "table": "v3_quantity_preagg", + "valid_through_ts": 20250103, + }, + ) + + # Request with use_materialized=False + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_quantity"], + "dimensions": ["v3.order_details.status"], + "use_materialized": "false", + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # Should compute from source, not use pre-agg + assert "warehouse.preaggs" not in metrics_data["sql"] + assert ( + "v3_order_details" in metrics_data["sql"] + or "v3.orders" in metrics_data["sql"] + ) + + @pytest.mark.asyncio + async def test_preagg_without_availability_computes_from_source( + self, + client_with_build_v3, + ): + """ + Pre-agg exists but has no availability -> compute from source. + """ + # Create pre-agg but don't set availability + plan_response = await client_with_build_v3.post( + "/preaggs/plan/", + json={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert plan_response.status_code == 201 + # Do NOT set availability + + metrics_response = await client_with_build_v3.get( + "/sql/metrics/v3/", + params={ + "metrics": ["v3.total_revenue"], + "dimensions": ["v3.order_details.status"], + }, + ) + assert metrics_response.status_code == 200 + metrics_data = metrics_response.json() + + # Should compute from source + assert "warehouse.preaggs" not in metrics_data["sql"] diff --git a/datajunction-server/tests/construction/build_v3/types_test.py b/datajunction-server/tests/construction/build_v3/types_test.py new file mode 100644 index 000000000..5a32c2fbd --- /dev/null +++ b/datajunction-server/tests/construction/build_v3/types_test.py @@ -0,0 +1,204 @@ +""" +Tests for types.py in build_v3. +""" + +from unittest.mock import MagicMock + + +from datajunction_server.construction.build_v3.types import ( + DecomposedMetricInfo, + GrainGroup, + MetricGroup, +) +from datajunction_server.models.decompose import Aggregability + + +class TestDecomposedMetricInfo: + """Tests for DecomposedMetricInfo.""" + + def test_is_fully_decomposable_all_full(self): + """Test is_fully_decomposable when all components are FULL.""" + # Create mock components with FULL aggregability + component1 = MagicMock() + component1.rule = MagicMock() + component1.rule.type = Aggregability.FULL + + component2 = MagicMock() + component2.rule = MagicMock() + component2.rule.type = Aggregability.FULL + + # Create DecomposedMetricInfo + metric_node = MagicMock() + derived_ast = MagicMock() + derived_ast.select.projection = [MagicMock()] + + info = DecomposedMetricInfo( + metric_node=metric_node, + components=[component1, component2], + aggregability=Aggregability.FULL, + combiner="SUM(x) + SUM(y)", + derived_ast=derived_ast, + ) + + assert info.is_fully_decomposable is True + + def test_is_fully_decomposable_with_limited(self): + """Test is_fully_decomposable when one component is LIMITED.""" + # Create mock components with mixed aggregability + component1 = MagicMock() + component1.rule = MagicMock() + component1.rule.type = Aggregability.FULL + + component2 = MagicMock() + component2.rule = MagicMock() + component2.rule.type = Aggregability.LIMITED + + metric_node = MagicMock() + derived_ast = MagicMock() + derived_ast.select.projection = [MagicMock()] + + info = DecomposedMetricInfo( + metric_node=metric_node, + components=[component1, component2], + aggregability=Aggregability.LIMITED, + combiner="SUM(x) / COUNT(DISTINCT y)", + derived_ast=derived_ast, + ) + + assert info.is_fully_decomposable is False + + def test_is_fully_decomposable_with_none(self): + """Test is_fully_decomposable when one component is NONE.""" + component1 = MagicMock() + component1.rule = MagicMock() + component1.rule.type = Aggregability.NONE + + metric_node = MagicMock() + derived_ast = MagicMock() + derived_ast.select.projection = [MagicMock()] + + info = DecomposedMetricInfo( + metric_node=metric_node, + components=[component1], + aggregability=Aggregability.NONE, + combiner="RANK()", + derived_ast=derived_ast, + ) + + assert info.is_fully_decomposable is False + + +class TestMetricGroup: + """Tests for MetricGroup.""" + + def test_overall_aggregability_all_full(self): + """Test overall_aggregability when all metrics are FULL.""" + decomposed1 = MagicMock() + decomposed1.aggregability = Aggregability.FULL + + decomposed2 = MagicMock() + decomposed2.aggregability = Aggregability.FULL + + parent_node = MagicMock() + group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed1, decomposed2], + ) + + assert group.overall_aggregability == Aggregability.FULL + + def test_overall_aggregability_with_limited(self): + """Test overall_aggregability when one metric is LIMITED.""" + decomposed1 = MagicMock() + decomposed1.aggregability = Aggregability.FULL + + decomposed2 = MagicMock() + decomposed2.aggregability = Aggregability.LIMITED + + parent_node = MagicMock() + group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed1, decomposed2], + ) + + assert group.overall_aggregability == Aggregability.LIMITED + + def test_overall_aggregability_with_none(self): + """Test overall_aggregability when one metric is NONE.""" + decomposed1 = MagicMock() + decomposed1.aggregability = Aggregability.FULL + + decomposed2 = MagicMock() + decomposed2.aggregability = Aggregability.NONE + + parent_node = MagicMock() + group = MetricGroup( + parent_node=parent_node, + decomposed_metrics=[decomposed1, decomposed2], + ) + + # NONE is the worst, so it should return NONE + assert group.overall_aggregability == Aggregability.NONE + + +class TestGrainGroup: + """Tests for GrainGroup.""" + + def test_grain_key(self): + """Test grain_key property returns correct tuple.""" + parent_node = MagicMock() + parent_node.name = "v3.order_details" + + component = MagicMock() + metric_node = MagicMock() + + group = GrainGroup( + parent_node=parent_node, + aggregability=Aggregability.LIMITED, + grain_columns=["customer_id", "product_id"], # Unsorted on purpose + components=[(metric_node, component)], + ) + + key = group.grain_key + assert key == ( + "v3.order_details", + Aggregability.LIMITED, + ("customer_id", "product_id"), # Should be sorted + ) + + def test_grain_key_with_full_aggregability(self): + """Test grain_key with FULL aggregability (empty grain).""" + parent_node = MagicMock() + parent_node.name = "v3.page_views" + + component = MagicMock() + metric_node = MagicMock() + + group = GrainGroup( + parent_node=parent_node, + aggregability=Aggregability.FULL, + grain_columns=[], # FULL means no extra grain columns + components=[(metric_node, component)], + ) + + key = group.grain_key + assert key == ("v3.page_views", Aggregability.FULL, ()) + + def test_grain_key_sorting(self): + """Test that grain_key sorts grain_columns.""" + parent_node = MagicMock() + parent_node.name = "v3.facts" + + component = MagicMock() + metric_node = MagicMock() + + group = GrainGroup( + parent_node=parent_node, + aggregability=Aggregability.LIMITED, + grain_columns=["z_col", "a_col", "m_col"], + components=[(metric_node, component)], + ) + + key = group.grain_key + # Grain columns should be sorted alphabetically + assert key[2] == ("a_col", "m_col", "z_col") diff --git a/datajunction-server/tests/construction/compile_test.py b/datajunction-server/tests/construction/compile_test.py new file mode 100644 index 000000000..6f4ab8b84 --- /dev/null +++ b/datajunction-server/tests/construction/compile_test.py @@ -0,0 +1,218 @@ +""" +Tests for compiling nodes +""" + +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.errors import DJException +from datajunction_server.sql.parsing.ast import CompileContext +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing.backends.exceptions import DJParseException + + +@pytest.mark.asyncio +async def test_get_table_node_is_none(construction_session: AsyncSession): + """ + Test a nonexistent table node with compound exception ignore. + """ + + query = parse("select x from default.purchases") + ctx = CompileContext( + session=construction_session, + exception=DJException(), + ) + await query.compile(ctx) + + assert "No node `default.purchases`" in str(ctx.exception.errors) + + +@pytest.mark.asyncio +async def test_missing_references(construction_session: AsyncSession): + """ + Test getting dependencies from a query that has dangling references + """ + query = parse("select a, b, c from does_not_exist") + exception = DJException() + context = CompileContext( + session=construction_session, + exception=exception, + ) + _, missing_references = await query.extract_dependencies(context) + assert missing_references + + +@pytest.mark.asyncio +async def test_catching_dangling_refs_in_extract_dependencies( + construction_session: AsyncSession, +): + """ + Test getting dependencies from a query that has dangling references when set not to raise + """ + query = parse("select a, b, c from does_not_exist") + exception = DJException() + context = CompileContext( + session=construction_session, + exception=exception, + ) + _, danglers = await query.extract_dependencies(context) + assert "does_not_exist" in danglers + + +@pytest.mark.asyncio +async def test_raising_on_extract_from_node_with_no_query(): + """ + Test parsing an empty query fails + """ + with pytest.raises(DJParseException) as exc_info: + parse(None) + assert "Empty query provided!" in str(exc_info.value) + + +@pytest.mark.asyncio +async def test_raise_on_unnamed_subquery_in_implicit_join( + construction_session: AsyncSession, +): + """ + Test raising on an unnamed subquery in an implicit join + """ + query = parse( + "SELECT country FROM basic.transform.country_agg, " + "(SELECT country FROM basic.transform.country_agg)", + ) + + context = CompileContext( + session=construction_session, + exception=DJException(), + ) + await query.extract_dependencies(context) + assert ( + "Column `country` found in multiple tables. Consider using fully qualified name." + in str( + context.exception.errors, + ) + ) + + +@pytest.mark.asyncio +async def test_raise_on_ambiguous_column(construction_session: AsyncSession): + """ + Test raising on ambiguous column + """ + query = parse( + "SELECT country FROM basic.transform.country_agg a " + "LEFT JOIN basic.dimension.countries b on a.country = b.country", + ) + context = CompileContext( + session=construction_session, + exception=DJException(), + ) + await query.compile(context) + assert ( + "Column `country` found in multiple tables. Consider using fully qualified name." + in str( + context.exception.errors, + ) + ) + + +@pytest.mark.asyncio +async def test_compile_node(construction_session: AsyncSession): + """ + Test compiling a node + """ + node_a = Node(name="A", current_version="1") + node_a_rev = NodeRevision( + node=node_a, + version="1", + query="SELECT country FROM basic.transform.country_agg", + ) + query_ast = parse(node_a_rev.query) + ctx = CompileContext(session=construction_session, exception=DJException()) + await query_ast.compile(ctx) + + +@pytest.mark.asyncio +async def test_raise_on_compile_node_with_no_query(construction_session: AsyncSession): + """ + Test raising when compiling a node that has no query + """ + node_a = Node(name="A", current_version="1") + node_a_rev = NodeRevision(node=node_a, version="1") + + with pytest.raises(DJException) as exc_info: + query_ast = parse(node_a_rev.query) + ctx = CompileContext(session=construction_session, exception=DJException()) + await query_ast.compile(ctx) + + assert "Empty query provided" in str(exc_info.value) + + +@pytest.mark.asyncio +@pytest.mark.skip(reason="DJ should not validate query correctness") +async def test_raise_on_unjoinable_automatic_dimension_groupby( + construction_session: AsyncSession, +): + """ + Test raising where a dimension node is automatically detected but unjoinable + """ + node_a = Node(name="A", current_version="1") + node_a_rev = NodeRevision( + node=node_a, + version="1", + query=( + "SELECT country FROM basic.transform.country_agg " + "GROUP BY basic.dimension.countries.country" + ), + ) + + query_ast = parse(node_a_rev.query) + ctx = CompileContext(session=construction_session, exception=DJException()) + await query_ast.compile(ctx) + + assert ( + "Column `basic.dimension.countries.country` does not exist on any valid table." + in str( + ctx.exception.errors, + ) + ) + + +@pytest.mark.asyncio +async def test_raise_on_having_without_a_groupby(construction_session: AsyncSession): + """ + Test raising when using a having without a groupby + """ + node_a = Node(name="A", current_version="1") + node_a_rev = NodeRevision( + node=node_a, + version="1", + query=("SELECT country FROM basic.transform.country_agg HAVING country='US'"), + ) + + query_ast = parse(node_a_rev.query) + ctx = CompileContext(session=construction_session, exception=DJException()) + await query_ast.compile(ctx) + + assert "HAVING without a GROUP BY is not allowed" in str(ctx.exception.errors) + + +@pytest.mark.asyncio +async def test_having(construction_session: AsyncSession): + """ + Test using having + """ + node_a = Node(name="A", current_version="1") + node_a_rev = NodeRevision( + node=node_a, + version="1", + query=( + "SELECT order_date, status FROM dbt.source.jaffle_shop.orders " + "GROUP BY dbt.dimension.customers.id " + "HAVING dbt.dimension.customers.id=1" + ), + ) + query_ast = parse(node_a_rev.query) + ctx = CompileContext(session=construction_session, exception=DJException()) + await query_ast.compile(ctx) diff --git a/datajunction-server/tests/construction/conftest.py b/datajunction-server/tests/construction/conftest.py new file mode 100644 index 000000000..ae015993e --- /dev/null +++ b/datajunction-server/tests/construction/conftest.py @@ -0,0 +1,617 @@ +"""fixtures for testing construction""" + +from typing import Dict, List, Optional, Tuple + +import pytest +import pytest_asyncio +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.attributetype import AttributeType, ColumnAttribute +from datajunction_server.database.column import Column +from datajunction_server.database.database import Database +from datajunction_server.database.dimensionlink import DimensionLink, JoinType +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing.types import ( + DateType, + FloatType, + IntegerType, + MapType, + StringType, + TimestampType, +) + +BUILD_NODE_NAMES: List[str] = [ + "basic.source.users", + "basic.source.comments", + "basic.dimension.users", + "dbt.source.jaffle_shop.orders", + "dbt.dimension.customers", + "dbt.source.jaffle_shop.customers", + "basic.dimension.countries", + "basic.transform.country_agg", + "basic.num_comments", + "basic.num_users", + "dbt.transform.customer_agg", +] + +BUILD_EXPECTATION_PARAMETERS: List[Tuple[str, Optional[int]]] = list( + zip(BUILD_NODE_NAMES * 3, [None] * len(BUILD_NODE_NAMES)), +) + + +@pytest.fixture +def build_expectation() -> Dict[str, Dict[Optional[int], Tuple[bool, str]]]: + """map node names with database ids to what their build results should be""" + return { + """basic.source.users""": { + None: ( + True, + """ + SELECT + id, + full_name, + names_map, + user_metadata, + age, + country, + gender, + preferred_language, + secret_number + FROM basic.source.users + """, + ), + }, + """basic.source.comments""": { + None: ( + True, + """ + SELECT + id, + user_id, + timestamp, + text + FROM basic.source.comments + """, + ), + }, + """basic.dimension.users""": { + None: ( + True, + """SELECT basic_DOT_dimension_DOT_users.id, + basic_DOT_dimension_DOT_users.full_name, + basic_DOT_dimension_DOT_users.age, + basic_DOT_dimension_DOT_users.country, + basic_DOT_dimension_DOT_users.gender, + basic_DOT_dimension_DOT_users.preferred_language, + basic_DOT_dimension_DOT_users.secret_number + FROM (SELECT basic_DOT_source_DOT_users.id, + basic_DOT_source_DOT_users.full_name, + basic_DOT_source_DOT_users.age, + basic_DOT_source_DOT_users.country, + basic_DOT_source_DOT_users.gender, + basic_DOT_source_DOT_users.preferred_language, + basic_DOT_source_DOT_users.secret_number + FROM basic.source.users AS basic_DOT_source_DOT_users) + AS basic_DOT_dimension_DOT_users""", + ), + }, + """dbt.source.jaffle_shop.orders""": { + None: ( + False, + """Node has no query. Cannot generate a build plan without a query.""", + ), + }, + """dbt.dimension.customers""": { + None: ( + True, + """SELECT dbt_DOT_dimension_DOT_customers.id, + dbt_DOT_dimension_DOT_customers.first_name, + dbt_DOT_dimension_DOT_customers.last_name + FROM (SELECT dbt_DOT_source_DOT_jaffle_shop_DOT_customers.id, + dbt_DOT_source_DOT_jaffle_shop_DOT_customers.first_name, + dbt_DOT_source_DOT_jaffle_shop_DOT_customers.last_name + FROM dbt.source.jaffle_shop.customers AS dbt_DOT_source_DOT_jaffle_shop_DOT_customers) + AS dbt_DOT_dimension_DOT_customers""", + ), + }, + """dbt.source.jaffle_shop.customers""": { + None: ( + False, + """Node has no query. Cannot generate a build plan without a query.""", + ), + }, + """basic.dimension.countries""": { + None: ( + True, + """SELECT basic_DOT_dimension_DOT_countries.country, + basic_DOT_dimension_DOT_countries.user_cnt + FROM (SELECT basic_DOT_dimension_DOT_users.country, + COUNT(1) AS user_cnt + FROM (SELECT basic_DOT_source_DOT_users.id, + basic_DOT_source_DOT_users.full_name, + basic_DOT_source_DOT_users.age, + basic_DOT_source_DOT_users.country, + basic_DOT_source_DOT_users.gender, + basic_DOT_source_DOT_users.preferred_language, + basic_DOT_source_DOT_users.secret_number + FROM basic.source.users AS basic_DOT_source_DOT_users) + AS basic_DOT_dimension_DOT_users + GROUP BY basic_DOT_dimension_DOT_users.country) + AS basic_DOT_dimension_DOT_countries""", + ), + }, + """basic.transform.country_agg""": { + None: ( + True, + """SELECT basic_DOT_transform_DOT_country_agg.country, + basic_DOT_transform_DOT_country_agg.num_users + FROM (SELECT basic_DOT_source_DOT_users.country, + COUNT( DISTINCT basic_DOT_source_DOT_users.id) AS num_users + FROM basic.source.users AS basic_DOT_source_DOT_users + GROUP BY basic_DOT_source_DOT_users.country) + AS basic_DOT_transform_DOT_country_agg""", + ), + }, + """basic.num_comments""": { + None: ( + True, + """SELECT COUNT(1) AS basic_DOT_num_comments + FROM basic.source.comments AS basic_DOT_source_DOT_comments""", + ), + }, + """basic.num_users""": { + None: ( + True, + """SELECT SUM(basic_DOT_transform_DOT_country_agg.num_users) AS basic_DOT_num_users + FROM (SELECT basic_DOT_source_DOT_users.country, + COUNT(DISTINCT basic_DOT_source_DOT_users.id) AS num_users + FROM basic.source.users AS basic_DOT_source_DOT_users + + GROUP BY basic_DOT_source_DOT_users.country) AS basic_DOT_transform_DOT_country_agg""", + ), + }, + """dbt.transform.customer_agg""": { + None: ( + True, + """SELECT dbt_DOT_transform_DOT_customer_agg.id, + dbt_DOT_transform_DOT_customer_agg.first_name, + dbt_DOT_transform_DOT_customer_agg.last_name, + dbt_DOT_transform_DOT_customer_agg.order_cnt + FROM (SELECT c.id, + c.first_name, + c.last_name, + COUNT(1) AS order_cnt + FROM dbt.source.jaffle_shop.orders AS o JOIN dbt.source.jaffle_shop.customers AS c ON o.user_id = c.id + GROUP BY c.id, c.first_name, c.last_name) + AS dbt_DOT_transform_DOT_customer_agg""", + ), + }, + } + + +@pytest_asyncio.fixture +async def construction_session( + clean_session: AsyncSession, + clean_current_user: User, +) -> AsyncSession: + """ + Add some source nodes and transform nodes to facilitate testing of extracting dependencies. + + NOTE: Uses clean_session (empty database) because this fixture creates its own nodes + directly via SQLAlchemy. If we used a template database, we'd have conflicts. + """ + session = clean_session + current_user = clean_current_user + + postgres = Database(name="postgres", URI="", cost=10, id=1) + + gsheets = Database(name="gsheets", URI="", cost=100, id=2) + + # Create primary_key attribute type (clean database has no pre-seeded data) + primary_key = AttributeType(namespace="system", name="primary_key", description="") + countries_dim_ref = Node( + name="basic.dimension.countries", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + countries_dim = NodeRevision( + name=countries_dim_ref.name, + type=countries_dim_ref.type, + node=countries_dim_ref, + version="1", + query=""" + SELECT country, + COUNT(1) AS user_cnt + FROM basic.dimension.users + GROUP BY country + """, + columns=[ + Column( + name="country", + order=0, + type=StringType(), + attributes=[ColumnAttribute(attribute_type=primary_key)], + ), + Column(name="user_cnt", type=IntegerType(), order=1), + ], + created_by_id=current_user.id, + ) + + user_dim_ref = Node( + name="basic.dimension.users", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + user_dim = NodeRevision( + name=user_dim_ref.name, + type=user_dim_ref.type, + node=user_dim_ref, + version="1", + query=""" + SELECT id, + full_name, + age, + country, + gender, + preferred_language, + secret_number + FROM basic.source.users + """, + columns=[ + Column( + name="id", + order=0, + type=IntegerType(), + attributes=[ColumnAttribute(attribute_type=primary_key)], + ), + Column(name="full_name", type=StringType(), order=1), + Column(name="age", type=IntegerType(), order=2), + Column(name="country", type=StringType(), order=3), + Column(name="gender", type=StringType(), order=4), + Column(name="preferred_language", type=StringType(), order=5), + Column(name="secret_number", type=FloatType(), order=6), + ], + created_by_id=current_user.id, + ) + + country_agg_tfm_ref = Node( + name="basic.transform.country_agg", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + country_agg_tfm = NodeRevision( + name=country_agg_tfm_ref.name, + type=country_agg_tfm_ref.type, + node=country_agg_tfm_ref, + version="1", + query=""" + SELECT country, + COUNT(DISTINCT id) AS num_users + FROM basic.source.users + GROUP BY country + """, + columns=[ + Column( + name="country", + type=StringType(), + dimension=user_dim_ref, + dimension_column="country", + order=0, + ), + Column(name="num_users", type=IntegerType(), order=1), + ], + created_by_id=current_user.id, + ) + + users_src_ref = Node( + name="basic.source.users", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + users_src = NodeRevision( + name=users_src_ref.name, + type=users_src_ref.type, + node=users_src_ref, + version="1", + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="full_name", type=StringType(), order=1), + Column( + name="names_map", + type=MapType(key_type=StringType(), value_type=StringType()), + order=2, + ), + Column( + name="user_metadata", + type=MapType( + key_type=StringType(), + value_type=MapType( + key_type=StringType(), + value_type=MapType( + key_type=StringType(), + value_type=FloatType(), + ), + ), + ), + order=3, + ), + Column(name="age", type=IntegerType(), order=4), + Column(name="country", type=StringType(), order=5), + Column(name="gender", type=StringType(), order=6), + Column(name="preferred_language", type=StringType(), order=7), + Column(name="secret_number", type=FloatType(), order=8), + ], + created_by_id=current_user.id, + ) + + comments_src_ref = Node( + name="basic.source.comments", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + comments_src = NodeRevision( + name=comments_src_ref.name, + type=comments_src_ref.type, + node=comments_src_ref, + version="1", + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column( + name="user_id", + type=IntegerType(), + dimension=user_dim_ref, + order=1, + ), + Column(name="timestamp", type=TimestampType(), order=2), + Column(name="text", type=StringType(), order=3), + ], + created_by_id=current_user.id, + ) + + num_comments_mtc_ref = Node( + name="basic.num_comments", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + num_comments_mtc = NodeRevision( + name=num_comments_mtc_ref.name, + type=num_comments_mtc_ref.type, + node=num_comments_mtc_ref, + version="1", + query=""" + SELECT COUNT(1) AS cnt + FROM basic.source.comments + """, + columns=[ + Column(name="cnt", type=IntegerType(), order=0), + ], + parents=[comments_src_ref], + created_by_id=current_user.id, + ) + + num_comments_mtc_bnd_dims_ref = Node( + name="basic.num_comments_bnd", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + num_comments_mtc_bnd_dims = NodeRevision( + name=num_comments_mtc_bnd_dims_ref.name, + type=num_comments_mtc_bnd_dims_ref.type, + node=num_comments_mtc_bnd_dims_ref, + version="1", + query=""" + SELECT COUNT(1) AS cnt + FROM basic.source.comments + """, + parents=[comments_src_ref], + columns=[ + Column(name="cnt", type=IntegerType(), order=0), + ], + required_dimensions=[ + comments_src.columns[0], + comments_src.columns[-1], + ], + created_by_id=current_user.id, + ) + + num_users_mtc_ref = Node( + name="basic.num_users", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + num_users_mtc = NodeRevision( + name=num_users_mtc_ref.name, + type=num_users_mtc_ref.type, + node=num_users_mtc_ref, + version="1", + query=""" + SELECT SUM(num_users) AS col0 + FROM basic.transform.country_agg + """, + columns=[ + Column(name="col0", type=IntegerType(), order=0), + ], + parents=[country_agg_tfm_ref], + created_by_id=current_user.id, + ) + num_users_us_join_mtc_ref = Node( + name="basic.num_users_us", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + num_users_us_join_mtc = NodeRevision( + name=num_users_us_join_mtc_ref.name, + type=num_users_us_join_mtc_ref.type, + node=num_users_us_join_mtc_ref, + version="1", + query=""" + SELECT SUM(a.num_users) as sum_users + FROM basic.transform.country_agg a + INNER JOIN basic.source.users b + ON a.country=b.country + WHERE a.country='US' + """, + columns=[ + Column( + name="sum_users", + type=IntegerType(), + order=0, + ), + ], + parents=[country_agg_tfm_ref, users_src_ref], + created_by_id=current_user.id, + ) + customers_dim_ref = Node( + name="dbt.dimension.customers", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + customers_dim = NodeRevision( + name=customers_dim_ref.name, + type=customers_dim_ref.type, + node=customers_dim_ref, + version="1", + query=""" + SELECT id, + first_name, + last_name + FROM dbt.source.jaffle_shop.customers + """, + columns=[ + Column( + name="id", + type=IntegerType(), + attributes=[ColumnAttribute(attribute_type=primary_key)], + order=0, + ), + Column(name="first_name", type=StringType(), order=1), + Column(name="last_name", type=StringType(), order=2), + ], + created_by_id=current_user.id, + ) + + customers_agg_tfm_ref = Node( + name="dbt.transform.customer_agg", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + customers_agg_tfm = NodeRevision( + name=customers_agg_tfm_ref.name, + type=customers_agg_tfm_ref.type, + node=customers_agg_tfm_ref, + version="1", + query=""" + SELECT c.id, + c.first_name, + c.last_name, + COUNT(1) AS order_cnt + FROM dbt.source.jaffle_shop.orders o + JOIN dbt.source.jaffle_shop.customers c ON o.user_id = c.id + GROUP BY c.id, + c.first_name, + c.last_name + """, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="first_name", type=StringType(), order=1), + Column(name="last_name", type=StringType(), order=2), + Column(name="order_cnt", type=IntegerType(), order=3), + ], + created_by_id=current_user.id, + ) + + orders_src_ref = Node( + name="dbt.source.jaffle_shop.orders", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + orders_src = NodeRevision( + name=orders_src_ref.name, + type=orders_src_ref.type, + node=orders_src_ref, + version="1", + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column( + name="user_id", + type=IntegerType(), + dimension=customers_dim_ref, + dimension_column="event_id", + order=1, + ), + Column(name="order_date", type=DateType(), order=2), + Column(name="status", type=StringType(), order=3), + Column(name="_etl_loaded_at", type=TimestampType(), order=4), + ], + created_by_id=current_user.id, + ) + + customers_src_ref = Node( + name="dbt.source.jaffle_shop.customers", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + customers_src = NodeRevision( + name=customers_src_ref.name, + type=customers_src_ref.type, + node=customers_src_ref, + version="1", + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="first_name", type=StringType(), order=1), + Column(name="last_name", type=StringType(), order=2), + ], + created_by_id=current_user.id, + ) + + comments_users_link = DimensionLink( + node_revision=comments_src, + dimension=user_dim_ref, + join_sql="basic.source.comments.user_id = basic.dimension.users.id", + join_type=JoinType.INNER, + ) + + orders_customers_link = DimensionLink( + node_revision=orders_src, + dimension=customers_dim_ref, + join_sql="dbt.source.jaffle_shop.orders.user_id = dbt.dimension.customers.id", + join_type=JoinType.INNER, + ) + + session.add(postgres) + session.add(gsheets) + session.add(countries_dim) + session.add(user_dim) + session.add(country_agg_tfm) + session.add(users_src) + session.add(comments_src) + session.add(num_users_us_join_mtc) + session.add(num_comments_mtc) + session.add(num_comments_mtc_bnd_dims) + session.add(num_users_mtc) + session.add(customers_dim) + session.add(customers_agg_tfm) + session.add(orders_src) + session.add(customers_src) + + session.add(comments_users_link) + session.add(orders_customers_link) + await session.commit() + await session.refresh(comments_users_link) + await session.refresh(orders_customers_link) + return session diff --git a/datajunction-server/tests/construction/exceptions_test.py b/datajunction-server/tests/construction/exceptions_test.py new file mode 100644 index 000000000..0256fbddd --- /dev/null +++ b/datajunction-server/tests/construction/exceptions_test.py @@ -0,0 +1,48 @@ +""" +Tests for building nodes and extracting dependencies +""" + +import pytest + +from datajunction_server.construction.exceptions import CompoundBuildException +from datajunction_server.errors import DJError, DJException, ErrorCode + + +def test_compound_build_exception(): + """ + Test raising a CompoundBuildException + """ + CompoundBuildException().reset() + CompoundBuildException().set_raise(False) + CompoundBuildException().append( + error=DJError( + code=ErrorCode.INVALID_SQL_QUERY, + message="This SQL is invalid.", + ), + message="Testing a compound build exception", + ) + + assert len(CompoundBuildException().errors) == 1 + assert CompoundBuildException().errors[0].code == ErrorCode.INVALID_SQL_QUERY + + assert "Found 1 issue" in str(CompoundBuildException()) + + CompoundBuildException().reset() + + +def test_raise_compound_build_exception(): + """ + Test raising a CompoundBuildException + """ + CompoundBuildException().reset() + CompoundBuildException().set_raise(True) + with pytest.raises(DJException) as exc_info: + CompoundBuildException().append( + error=DJError( + code=ErrorCode.INVALID_SQL_QUERY, + message="This SQL is invalid.", + ), + message="Testing a compound build exception", + ) + + assert "Testing a compound build exception" in str(exc_info.value) diff --git a/datajunction-server/tests/construction/inference_test.py b/datajunction-server/tests/construction/inference_test.py new file mode 100644 index 000000000..03b2e1b63 --- /dev/null +++ b/datajunction-server/tests/construction/inference_test.py @@ -0,0 +1,696 @@ +"""Test type inference.""" + +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.errors import DJException +from datajunction_server.models.engine import Dialect +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.ast import CompileContext +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing.backends.exceptions import DJParseException +from datajunction_server.sql.parsing.types import ( + BigIntType, + BooleanType, + ColumnType, + DateType, + DayTimeIntervalType, + DecimalType, + DoubleType, + FixedType, + FloatType, + IntegerType, + ListType, + MapType, + NullType, + StringType, + TimestampType, + TimeType, +) + + +@pytest.mark.asyncio +async def test_infer_column_with_table(construction_session: AsyncSession): + """ + Test getting the type of a column that has a table + """ + table = ast.Table( + ast.Name("orders", namespace=ast.Name("dbt.source.jaffle_shop")), + ) + ctx = CompileContext( + session=construction_session, + exception=DJException(), + ) + await table.compile(ctx) + assert table.columns[0].type == IntegerType() + assert table.columns[1].type == IntegerType() + assert table.columns[2].type == DateType() + assert table.columns[3].type == StringType() + + +def test_infer_values(): + """ + Test inferring types from values directly + """ + assert ast.String(value="foo").type == StringType() + assert ast.Number(value=10).type == IntegerType() + assert ast.Number(value=-10).type == IntegerType() + assert ast.Number(value=922337203685477).type == BigIntType() + assert ast.Number(value=-922337203685477).type == BigIntType() + assert ast.Number(value=3.4e39).type == DoubleType() + assert ast.Number(value=-3.4e39).type == DoubleType() + assert ast.Number(value=3.4e38).type == FloatType() + assert ast.Number(value=-3.4e38).type == FloatType() + + +def test_raise_on_invalid_infer_binary_op(): + """ + Test raising when trying to infer types from an invalid binary op + """ + with pytest.raises(DJParseException) as exc_info: + ast.BinaryOp( + op=ast.BinaryOpKind.Modulo, + left=ast.String(value="foo"), + right=ast.String(value="bar"), + ).type + + assert ( + "Incompatible types in binary operation foo % bar. " + "Got left string, right string." + ) in str(exc_info.value) + + +@pytest.mark.asyncio +async def test_infer_column_with_an_aliased_table(construction_session: AsyncSession): + """ + Test getting the type of a column that has an aliased table + """ + ctx = CompileContext( + session=construction_session, + exception=DJException(), + ) + table = ast.Table( + ast.Name("orders", namespace=ast.Name("dbt.source.jaffle_shop")), + ) + alias = ast.Alias( + alias=ast.Name( + name="foo", + namespace=ast.Name( + name="a", + namespace=ast.Name( + name="b", + namespace=ast.Name("c"), + ), + ), + ), + child=table, + ) + await alias.compile(ctx) + + assert alias.child.columns[0].type == IntegerType() + assert alias.child.columns[1].type == IntegerType() + assert alias.child.columns[2].type == DateType() + assert alias.child.columns[3].type == StringType() + assert alias.child.columns[4].type == TimestampType() + + +def test_raising_when_table_has_no_dj_node(): + """ + Test raising when getting the type of a column that has a table with no DJ node + """ + table = ast.Table(ast.Name("orders")) + col = ast.Column(ast.Name("status"), _table=table) + + with pytest.raises(DJParseException) as exc_info: + col.type + + assert ("Cannot resolve type of column orders.status") in str(exc_info.value) + + +def test_raising_when_select_has_multiple_expressions_in_projection(): + """ + Test raising when a select has more than one in projection + """ + with pytest.raises(DJParseException) as exc_info: + parse("select 1, 2").select.type + + assert ("single expression in its projection") in str(exc_info.value) + + +def test_raising_when_between_different_types(): + """ + Test raising when a between has multiple types + """ + with pytest.raises(DJParseException) as exc_info: + parse( + "select 1 between 'hello' and TRUE", + ).select.type + + assert ("BETWEEN expects all elements to have the same type") in str(exc_info.value) + + +def test_raising_when_unop_bad_type(): + """ + Test raising when a unop gets a bad type + """ + with pytest.raises(DJParseException) as exc_info: + parse( + "select not 'hello'", + ).select.type + + assert ("Incompatible type in unary operation") in str(exc_info.value) + + +def test_raising_when_expression_has_no_parent(): + """ + Test raising when getting the type of a column that has no parent + """ + col = ast.Column(ast.Name("status"), _table=None) + + with pytest.raises(DJParseException) as exc_info: + col.type + + assert "Cannot resolve type of column status that has no parent" in str( + exc_info.value, + ) + + +@pytest.mark.asyncio +async def test_infer_map_subscripts(construction_session: AsyncSession): + """ + Test inferring map subscript types + """ + query = parse( + """ + SELECT + names_map["first"] as first_name, + names_map["last"] as last_name, + user_metadata["propensity_score"] as propensity_score, + user_metadata["propensity_score"]["weighted"] as weighted_propensity_score, + user_metadata["propensity_score"]["weighted"]["year"] as weighted_propensity_score_year + FROM basic.source.users + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + StringType(), + StringType(), + MapType( + key_type=StringType(), + value_type=MapType(key_type=StringType(), value_type=FloatType()), + ), + MapType(key_type=StringType(), value_type=FloatType()), + FloatType(), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore + + +@pytest.mark.asyncio +async def test_infer_types_complicated(construction_session: AsyncSession): + """ + Test inferring complicated types + """ + query = parse( + """ + SELECT id+1-2/3*5%6&10|8^5, + CAST('2022-01-01T12:34:56Z' AS TIMESTAMP), + -- Raw('average({id})', 'INT', True), + -- Raw('aggregate(array(1, 2, {id}), 0, (acc, x) -> acc + x, acc -> acc * 10)', 'INT'), + -- Raw('NOW()', 'datetime'), + -- DATE_TRUNC('day', '2014-03-10'), + NOW(), + Coalesce(NULL, 5), + Coalesce(NULL), + NULL, + MAX(id) OVER + (PARTITION BY first_name ORDER BY last_name) + AS running_total, + MAX(id) OVER + (PARTITION BY first_name ORDER BY last_name) + AS running_total, + MIN(id) OVER + (PARTITION BY first_name ORDER BY last_name) + AS running_total, + AVG(id) OVER + (PARTITION BY first_name ORDER BY last_name) + AS running_total, + COUNT(id) OVER + (PARTITION BY first_name ORDER BY last_name) + AS running_total, + SUM(id) OVER + (PARTITION BY first_name ORDER BY last_name) + AS running_total, + NOT TRUE, + 10, + id>5, + id<5, + id>=5, + id<=5, + id BETWEEN 4 AND 5, + id IN (5, 5), + id NOT IN (3, 4), + id NOT IN (SELECT -5), + first_name LIKE 'Ca%', + id is null, + (id=5)=TRUE, + 'hello world', + first_name as fn, + last_name<>'yoyo' and last_name='yoyo' or last_name='yoyo', + last_name, + bizarre, + (select 5.0), + CASE WHEN first_name = last_name THEN COUNT(DISTINCT first_name) ELSE + COUNT(DISTINCT last_name) END + FROM ( + SELECT id, + first_name, + last_name<>'yoyo' and last_name='yoyo' or last_name='yoyo' as bizarre, + last_name + FROM dbt.source.jaffle_shop.customers + ) + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + IntegerType(), + TimestampType(), + TimestampType(), + IntegerType(), + NullType(), + NullType(), + IntegerType(), + IntegerType(), + IntegerType(), + DoubleType(), + BigIntType(), + BigIntType(), + BooleanType(), + IntegerType(), + BooleanType(), + BooleanType(), + BooleanType(), + BooleanType(), + BooleanType(), + BooleanType(), + BooleanType(), + BooleanType(), + BooleanType(), + BooleanType(), + BooleanType(), + StringType(), + StringType(), + BooleanType(), + StringType(), + BooleanType(), + FloatType(), + BigIntType(), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore + + +@pytest.mark.asyncio +async def test_infer_bad_case_types(construction_session: AsyncSession): + """ + Test inferring mismatched case types. + """ + with pytest.raises(Exception) as excinfo: + query = parse( + """ + SELECT + CASE WHEN first_name = last_name THEN COUNT(DISTINCT first_name) ELSE last_name END + FROM dbt.source.jaffle_shop.customers + """, + ) + ctx = CompileContext( + session=construction_session, + exception=DJException(), + ) + await query.compile(ctx) + [ + exp.type # type: ignore + for exp in query.select.projection + ] + + assert str(excinfo.value) == "Not all the same type in CASE! Found: bigint, string" + + +@pytest.mark.asyncio +async def test_infer_types_avg(construction_session: AsyncSession): + """ + Test type inference of functions + """ + + query = parse( + """ + SELECT + AVG(id) OVER + (PARTITION BY first_name ORDER BY last_name), + AVG(CAST(id AS DECIMAL(8, 6))), + AVG(CAST(id AS INTERVAL DAY TO SECOND)), + STDDEV(id), + stddev_samp(id), + stddev_pop(id), + variance(id), + var_pop(id) + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + DoubleType(), + DecimalType(12, 10), + DayTimeIntervalType(), + DoubleType(), + DoubleType(), + DoubleType(), + DoubleType(), + DoubleType(), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore + + +@pytest.mark.asyncio +async def test_infer_types_min_max_sum_ceil(construction_session: AsyncSession): + """ + Test type inference of functions + """ + + query = parse( + """ + SELECT + MIN(id) OVER + (PARTITION BY first_name ORDER BY last_name), + MAX(id) OVER + (PARTITION BY first_name ORDER BY last_name), + SUM(id) OVER + (PARTITION BY first_name ORDER BY last_name), + CEIL(id), + PERCENT_RANK(id) OVER (PARTITION BY id ORDER BY id) + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [IntegerType(), IntegerType(), BigIntType(), BigIntType(), DoubleType()] + assert types == [exp.type for exp in query.select.projection] # type: ignore + + +@pytest.mark.asyncio +async def test_infer_types_count(construction_session: AsyncSession): + """ + Test type inference of functions + """ + + query = parse( + """ + SELECT + COUNT(id) OVER + (PARTITION BY first_name ORDER BY last_name), + COUNT(DISTINCT last_name) + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + BigIntType(), + BigIntType(), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore + + +@pytest.mark.asyncio +async def test_infer_types_coalesce(construction_session: AsyncSession): + """ + Test type inference of functions + """ + + query = parse( + """ + SELECT + COALESCE(5, NULL), + COALESCE("random", NULL) + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + IntegerType(), + StringType(), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore + + +@pytest.mark.asyncio +async def test_infer_types_array_map(construction_session: AsyncSession): + """ + Test type inference for arrays and maps + """ + + query = parse( + """ + SELECT + ARRAY(5, 6, 7, 8), + MAP(1, 'a', 2, 'b', 3, 'c'), + MAP(1.0, 'a', 2.0, 'b', 3.0, 'c'), + MAP(CAST(1.0 AS DOUBLE), 'a', CAST(2.0 AS DOUBLE), 'b', CAST(3.0 AS DOUBLE), 'c') + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + ListType(IntegerType()), + MapType(IntegerType(), StringType()), + MapType(FloatType(), StringType()), + MapType(DoubleType(), StringType()), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore + + query = parse( + """ + SELECT + MAP(1, 'a', 2, 3, 'c') + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == MapType( # type: ignore + key_type=IntegerType(), + value_type=StringType(), + ) + + query = parse( + """ + SELECT + ARRAY(1, 'a') + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + with pytest.raises(DJParseException) as exc_info: + query.select.projection[0].type # type: ignore + assert "Multiple types int, string passed to array" in str(exc_info) + + +@pytest.mark.asyncio +async def test_infer_types_if(construction_session: AsyncSession): + """ + Test type inference of IF + """ + query = parse( + """ + SELECT + IF(1=2, 10, 20), + IF(1=2, 'random', 20), + IFNULL(1, 2, 3) + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == IntegerType() # type: ignore + with pytest.raises(DJException) as exc_info: + query.select.projection[1].type # type: ignore + assert ( + "The then result and else result must match in type! Got string and int" + in str(exc_info) + ) + assert query.select.projection[2].type == IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_infer_types_exp(construction_session: AsyncSession): + """ + Test type inference of math functions + """ + query = parse( + """ + SELECT + EXP(2), + FLOOR(22.1), + LENGTH('blah'), + LEVENSHTEIN('a', 'b'), + LN(5), + LOG(10, 100), + LOG2(2), + LOG10(100), + POW(1, 2), + POWER(1, 2), + ROUND(1.2, 0), + ROUND(1.2, -1), + ROUND(CAST(1.233 AS DOUBLE), 1), + ROUND(CAST(1.233 AS DECIMAL(8, 6)), 20), + CEIL(CAST(1.233 AS DECIMAL(8, 6))), + SQRT(12) + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + DoubleType(), + BigIntType(), + IntegerType(), + IntegerType(), + DoubleType(), + DoubleType(), + DoubleType(), + DoubleType(), + DoubleType(), + DoubleType(), + IntegerType(), + FloatType(), + DoubleType(), + DecimalType(precision=9, scale=6), + DecimalType(precision=3, scale=0), + DoubleType(), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore + assert query.select.projection[4].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + assert query.select.projection[5].function().dialects == [Dialect.SPARK] # type: ignore + assert query.select.projection[6].function().dialects == [Dialect.SPARK] # type: ignore + assert query.select.projection[7].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_infer_types_str(construction_session: AsyncSession): + """ + Test type inference of EXP + """ + query = parse( + """ + SELECT + LOWER('Extra'), + SUBSTRING('e14', 1, 1), + SUBSTRING('e14', 1, 1) + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + StringType(), + StringType(), + StringType(), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore + + +def test_column_type_validation(): + """ + Test type inference of EXP + """ + with pytest.raises(DJException) as exc_info: + ColumnType.validate("decimal") + assert "DJ does not recognize the type `decimal`" in str(exc_info) + assert ColumnType.validate("decimal(10, 8)") == DecimalType(10, 8) + + assert ColumnType.validate("fixed(2)") == FixedType(2) + assert ColumnType.validate("map") == MapType( + StringType(), + StringType(), + ) + assert ColumnType.validate("array") == ListType(IntegerType()) + + +@pytest.mark.asyncio +async def test_infer_types_datetime(construction_session: AsyncSession): + """ + Test type inference of functions + """ + + query = parse( + """ + SELECT + CURRENT_DATE(), + CURRENT_TIME(), + CURRENT_TIMESTAMP(), + + NOW(), + + DATE_ADD('2020-01-01', 10), + DATE_ADD(CURRENT_DATE(), 10), + DATE_SUB('2020-01-01', 10), + DATE_SUB(CURRENT_DATE(), 10), + + DATEDIFF('2020-01-01', '2021-01-01'), + DATEDIFF(CURRENT_DATE(), CURRENT_DATE()), + + + EXTRACT(YEAR FROM '2020-01-01 00:00:00'), + EXTRACT(SECOND FROM '2020-01-01 00:00:00'), + + DAY("2022-01-01"), + MONTH("2022-01-01"), + WEEK("2022-01-01"), + YEAR("2022-01-01") + FROM dbt.source.jaffle_shop.customers + """, + ) + exc = DJException() + ctx = CompileContext(session=construction_session, exception=exc) + await query.compile(ctx) + types = [ + DateType(), + TimeType(), + TimestampType(), + TimestampType(), + DateType(), + DateType(), + DateType(), + DateType(), + IntegerType(), + IntegerType(), + IntegerType(), + DecimalType(precision=8, scale=6), + IntegerType(), + BigIntType(), + BigIntType(), + BigIntType(), + ] + assert types == [exp.type for exp in query.select.projection] # type: ignore diff --git a/datajunction-server/tests/construction/utils_test.py b/datajunction-server/tests/construction/utils_test.py new file mode 100644 index 000000000..a4cd5a3dc --- /dev/null +++ b/datajunction-server/tests/construction/utils_test.py @@ -0,0 +1,47 @@ +""" +Tests for building nodes and extracting dependencies +""" + +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.construction.utils import get_dj_node +from datajunction_server.errors import DJErrorException +from datajunction_server.models.node_type import NodeType + + +@pytest.mark.asyncio +async def test_get_dj_node_raise_unknown_node_exception(session: AsyncSession): + """ + Test raising an unknown node exception when calling get_dj_node + """ + with pytest.raises(DJErrorException) as exc_info: + await get_dj_node(session, "foobar") + + assert "No node" in str(exc_info.value) + + with pytest.raises(DJErrorException) as exc_info: + await get_dj_node( + session, + "foobar", + kinds={NodeType.METRIC, NodeType.DIMENSION}, + ) + + assert "dimension" in str(exc_info.value) + assert "metric" in str(exc_info.value) + assert "source" not in str(exc_info.value) + assert "transform" not in str(exc_info.value) + + with pytest.raises(DJErrorException) as exc_info: + # test that the event_type raises because it's a dimension and not a transform + await get_dj_node(session, "event_type", kinds={NodeType.TRANSFORM}) + + assert "No node `event_type` exists of kind transform" in str(exc_info.value) + + # test that the event_type raises because it's a dimension and not a transform + with pytest.raises(DJErrorException) as exc_info: + await get_dj_node(session, "event_type", kinds={NodeType.TRANSFORM}) + + assert "No node `event_type` exists of kind transform" in str( + exc_info.value, + ) diff --git a/datajunction-server/tests/database/base_test.py b/datajunction-server/tests/database/base_test.py new file mode 100644 index 000000000..0044fcc33 --- /dev/null +++ b/datajunction-server/tests/database/base_test.py @@ -0,0 +1,120 @@ +"""Tests for database base utilities.""" + +from typing import Optional + +from pydantic import BaseModel + +from datajunction_server.database.base import PydanticListType + + +class SampleModel(BaseModel): + """Simple Pydantic model for testing PydanticListType.""" + + name: str + value: int + optional_field: Optional[str] = None + + +class TestPydanticListType: + """Tests for PydanticListType TypeDecorator.""" + + def test_cache_ok_is_true(self): + """Test that cache_ok is set to True for SQLAlchemy caching.""" + type_decorator = PydanticListType(SampleModel) + assert type_decorator.cache_ok is True + + def test_process_bind_param_serializes_pydantic_models(self): + """Test that Pydantic models are serialized to dicts for storage.""" + type_decorator = PydanticListType(SampleModel) + models = [ + SampleModel(name="foo", value=1), + SampleModel(name="bar", value=2, optional_field="extra"), + ] + + result = type_decorator.process_bind_param(models, dialect=None) + + assert result == [ + {"name": "foo", "value": 1, "optional_field": None}, + {"name": "bar", "value": 2, "optional_field": "extra"}, + ] + + def test_process_bind_param_handles_none(self): + """Test that None input returns None.""" + type_decorator = PydanticListType(SampleModel) + + result = type_decorator.process_bind_param(None, dialect=None) + + assert result is None + + def test_process_bind_param_handles_empty_list(self): + """Test that empty list returns empty list.""" + type_decorator = PydanticListType(SampleModel) + + result = type_decorator.process_bind_param([], dialect=None) + + assert result == [] + + def test_process_bind_param_handles_dict_passthrough(self): + """Test that dicts in the list are passed through unchanged.""" + type_decorator = PydanticListType(SampleModel) + # Sometimes data might already be dicts (e.g., from JSON) + mixed = [ + SampleModel(name="model", value=1), + {"name": "dict", "value": 2, "optional_field": None}, + ] + + result = type_decorator.process_bind_param(mixed, dialect=None) + + assert result == [ + {"name": "model", "value": 1, "optional_field": None}, + {"name": "dict", "value": 2, "optional_field": None}, + ] + + def test_process_result_value_deserializes_to_pydantic_models(self): + """Test that dicts are deserialized to Pydantic models on read.""" + type_decorator = PydanticListType(SampleModel) + dicts = [ + {"name": "foo", "value": 1, "optional_field": None}, + {"name": "bar", "value": 2, "optional_field": "extra"}, + ] + + result = type_decorator.process_result_value(dicts, dialect=None) + + assert len(result) == 2 + assert all(isinstance(item, SampleModel) for item in result) + assert result[0].name == "foo" + assert result[0].value == 1 + assert result[1].name == "bar" + assert result[1].optional_field == "extra" + + def test_process_result_value_handles_none(self): + """Test that None input returns None.""" + type_decorator = PydanticListType(SampleModel) + + result = type_decorator.process_result_value(None, dialect=None) + + assert result is None + + def test_process_result_value_handles_empty_list(self): + """Test that empty list returns empty list.""" + type_decorator = PydanticListType(SampleModel) + + result = type_decorator.process_result_value([], dialect=None) + + assert result == [] + + def test_roundtrip_preserves_data(self): + """Test that serialize -> deserialize produces equal objects.""" + type_decorator = PydanticListType(SampleModel) + original = [ + SampleModel(name="foo", value=1), + SampleModel(name="bar", value=2, optional_field="extra"), + ] + + # Simulate DB roundtrip + serialized = type_decorator.process_bind_param(original, dialect=None) + deserialized = type_decorator.process_result_value(serialized, dialect=None) + + assert len(deserialized) == len(original) + for orig, deser in zip(original, deserialized): + assert orig == deser diff --git a/datajunction-server/tests/database/nodeowner_test.py b/datajunction-server/tests/database/nodeowner_test.py new file mode 100644 index 000000000..64b876886 --- /dev/null +++ b/datajunction-server/tests/database/nodeowner_test.py @@ -0,0 +1,204 @@ +import pytest +import pytest_asyncio +from sqlalchemy import select + +from datajunction_server.database.node import Node, NodeType, NodeRevision, Column +from datajunction_server.database.user import OAuthProvider, User +from datajunction_server.database.nodeowner import NodeOwner +from sqlalchemy.ext.asyncio import AsyncSession + +import datajunction_server.sql.parsing.types as ct + + +@pytest_asyncio.fixture +async def user(session: AsyncSession) -> User: + """ + A user fixture. + """ + user = User( + username="testuser", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.commit() + return user + + +@pytest_asyncio.fixture +async def another_user(session: AsyncSession) -> User: + """ + Another user fixture. + """ + user = User( + username="anotheruser", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.commit() + return user + + +@pytest_asyncio.fixture +async def transform_node(session: AsyncSession, user: User) -> Node: + """ + A transform node fixture. + """ + node = Node( + name="basic.users", + type=NodeType.TRANSFORM, + current_version="v1", + display_name="Users Transform", + created_by_id=user.id, + ) + node_revision = NodeRevision( + node=node, + name=node.name, + type=node.type, + version="v1", + query="SELECT user_id, username FROM users", + columns=[ + Column(name="user_id", display_name="ID", type=ct.IntegerType()), + Column(name="username", type=ct.StringType()), + ], + created_by_id=user.id, + ) + session.add_all([node, node_revision]) + await session.commit() + return node + + +@pytest.mark.asyncio +async def test_create_node_owner( + session: AsyncSession, + user: User, + transform_node: Node, +): + # This node initially has no owners + await session.refresh(transform_node, ["owners"]) + assert transform_node.owners == [] + + # Assign ownership to the user + owner_association = NodeOwner( + user_id=user.id, + node_id=transform_node.id, + ownership_type="domain", + ) + session.add(owner_association) + await session.commit() + await session.refresh(owner_association) + await session.refresh(user) + await session.refresh(transform_node) + + # Check that the ownership relationship was created correctly + assert owner_association.user_id == user.id + assert owner_association.node_id == transform_node.id + assert owner_association.ownership_type == "domain" + + # Test relationships + assert owner_association.user.username == user.username + assert owner_association.node.name == transform_node.name + + await session.refresh(transform_node, ["owners", "owner_associations"]) + assert transform_node.owners == [user] + assert transform_node.owner_associations == [owner_association] + + await session.refresh(user, ["owned_nodes", "owned_associations"]) + assert user.owned_nodes == [transform_node] + assert user.owned_associations == [owner_association] + + +@pytest.mark.asyncio +async def test_remove_node_owner( + session: AsyncSession, + user: User, + transform_node: Node, +): + # Add the ownership association + owner_association = NodeOwner( + user_id=user.id, + node_id=transform_node.id, + ownership_type="domain", + ) + session.add(owner_association) + await session.commit() + + # Confirm ownership exists + await session.refresh(transform_node, ["owners", "owner_associations"]) + assert transform_node.owners == [user] + assert transform_node.owner_associations == [owner_association] + + await session.refresh(user, ["owned_nodes", "owned_associations"]) + assert user.owned_nodes == [transform_node] + assert user.owned_associations == [owner_association] + + # Delete the association + await session.delete(owner_association) + await session.commit() + + # Refresh and confirm it's removed + await session.refresh(transform_node) + await session.refresh(user) + + await session.refresh(transform_node, ["owners", "owner_associations"]) + assert transform_node.owners == [] + assert transform_node.owner_associations == [] + + await session.refresh(user, ["owned_nodes", "owned_associations"]) + assert user.owned_nodes == [] + assert user.owned_associations == [] + + # Optional: double-check DB-level deletion + result = await session.execute( + select(NodeOwner).where( + NodeOwner.user_id == user.id, + NodeOwner.node_id == transform_node.id, + ), + ) + assert result.scalar_one_or_none() is None + + +@pytest.mark.asyncio +async def test_add_multiple_node_owners( + session: AsyncSession, + user: User, + another_user: User, + transform_node: Node, +): + # Initially, no owners + await session.refresh(transform_node, ["owners", "owner_associations"]) + assert transform_node.owners == [] + + # Create multiple associations + owner_1 = NodeOwner( + user_id=user.id, + node_id=transform_node.id, + ownership_type="domain", + ) + owner_2 = NodeOwner( + user_id=another_user.id, + node_id=transform_node.id, + ownership_type="technical", + ) + + session.add_all([owner_1, owner_2]) + await session.commit() + + # Refresh node and users + await session.refresh(transform_node, ["owners", "owner_associations"]) + await session.refresh(user, ["owned_nodes", "owned_associations"]) + await session.refresh(another_user, ["owned_nodes", "owned_associations"]) + + # Confirm relationships on node + owner_usernames = {u.username for u in transform_node.owners} + assert owner_usernames == {user.username, another_user.username} + assert len(transform_node.owner_associations) == 2 + + # Confirm relationships on users + assert transform_node in user.owned_nodes + assert transform_node in another_user.owned_nodes + assert len(user.owned_associations) == 1 + assert len(another_user.owned_associations) == 1 + + # Confirm ownership types + types = {assoc.ownership_type for assoc in transform_node.owner_associations} + assert types == {"domain", "technical"} diff --git a/datajunction-server/tests/database/preaggregation_test.py b/datajunction-server/tests/database/preaggregation_test.py new file mode 100644 index 000000000..def3494da --- /dev/null +++ b/datajunction-server/tests/database/preaggregation_test.py @@ -0,0 +1,564 @@ +"""Tests for PreAggregation database schema.""" + +import pytest +import pytest_asyncio +from unittest.mock import MagicMock + +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.preaggregation import ( + PreAggregation, + VALID_PREAGG_STRATEGIES, + compute_grain_group_hash, + compute_expression_hash, + get_measure_expr_hashes, + compute_preagg_hash, +) +from datajunction_server.database.user import OAuthProvider, User +from datajunction_server.models.decompose import AggregationRule, PreAggMeasure +from datajunction_server.models.materialization import MaterializationStrategy +from datajunction_server.models.node_type import NodeType + + +def make_measure( + name: str, + expression: str, + aggregation: str = "SUM", + merge: str = "SUM", +): + """Helper to create a measure dict with all required fields.""" + return PreAggMeasure( + name=name, + expression=expression, + expr_hash=compute_expression_hash(expression), + aggregation=aggregation, + merge=merge, + rule=AggregationRule(type="full", level=None), + ) + + +class TestComputeExpressionHash: + """Tests for compute_expression_hash function.""" + + def test_basic_hash(self): + """Test basic expression hash computation.""" + hash1 = compute_expression_hash("price * quantity") + assert isinstance(hash1, str) + assert len(hash1) == 12 # Truncated MD5 + + def test_same_expression_same_hash(self): + """Test that same expression produces same hash.""" + hash1 = compute_expression_hash("price * quantity") + hash2 = compute_expression_hash("price * quantity") + assert hash1 == hash2 + + def test_different_expression_different_hash(self): + """Test that different expressions produce different hashes.""" + hash1 = compute_expression_hash("price * quantity") + hash2 = compute_expression_hash("price * quantity * (1 - discount)") + assert hash1 != hash2 + + def test_whitespace_normalized(self): + """Test that whitespace is normalized for consistent hashing.""" + hash1 = compute_expression_hash("price * quantity") + hash2 = compute_expression_hash("price * quantity") + hash3 = compute_expression_hash("price\n*\nquantity") + assert hash1 == hash2 == hash3 + + +class TestGetMeasureExprHashes: + """Tests for get_measure_expr_hashes function.""" + + def test_extracts_hashes(self): + """Test extracting expr_hashes from measures.""" + measures = [ + PreAggMeasure( + name="sum_revenue", + expression="revenue", + aggregation="SUM", + rule=AggregationRule(type="full"), + expr_hash="abc123", + ), + PreAggMeasure( + name="count_orders", + expression="1", + aggregation="COUNT", + rule=AggregationRule(type="full"), + expr_hash="def456", + ), + ] + hashes = get_measure_expr_hashes(measures) + assert hashes == {"abc123", "def456"} + + def test_handles_missing_hash(self): + """Test that missing expr_hash is handled.""" + measures = [ + PreAggMeasure( + name="sum_revenue", + expression="revenue", + aggregation="SUM", + rule=AggregationRule(type="full"), + expr_hash="abc123", + ), + PreAggMeasure( + name="count_orders", + expression="1", + aggregation="COUNT", + rule=AggregationRule(type="full"), + expr_hash=None, # No expr_hash + ), + ] + hashes = get_measure_expr_hashes(measures) + assert hashes == {"abc123"} + + def test_empty_list(self): + """Test with empty measures list.""" + hashes = get_measure_expr_hashes([]) + assert hashes == set() + + +class TestComputeGrainGroupHash: + """Tests for compute_grain_group_hash function.""" + + def test_basic_hash(self): + """Test basic hash computation.""" + hash1 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=[ + "default.date_dim.date_id", + "default.customer_dim.customer_id", + ], + ) + assert isinstance(hash1, str) + assert len(hash1) == 32 # MD5 hex digest length + + def test_same_inputs_same_hash(self): + """Test that same inputs produce same hash.""" + hash1 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=[ + "default.date_dim.date_id", + "default.customer_dim.customer_id", + ], + ) + hash2 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=[ + "default.date_dim.date_id", + "default.customer_dim.customer_id", + ], + ) + assert hash1 == hash2 + + def test_different_node_revision_different_hash(self): + """Test that different node_revision_id produces different hash.""" + hash1 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + ) + hash2 = compute_grain_group_hash( + node_revision_id=456, + grain_columns=["default.date_dim.date_id"], + ) + assert hash1 != hash2 + + def test_different_grain_different_hash(self): + """Test that different grain_columns produces different hash.""" + hash1 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + ) + hash2 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=[ + "default.date_dim.date_id", + "default.customer_dim.customer_id", + ], + ) + assert hash1 != hash2 + + def test_grain_order_does_not_matter(self): + """Test that grain column order doesn't affect hash (sorted internally).""" + hash1 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=[ + "default.date_dim.date_id", + "default.customer_dim.customer_id", + ], + ) + hash2 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=[ + "default.customer_dim.customer_id", + "default.date_dim.date_id", + ], + ) + assert hash1 == hash2 + + def test_empty_grain_columns(self): + """Test with empty grain columns.""" + hash1 = compute_grain_group_hash( + node_revision_id=123, + grain_columns=[], + ) + assert isinstance(hash1, str) + assert len(hash1) == 32 + + +class TestValidPreAggStrategies: + """Tests for VALID_PREAGG_STRATEGIES constant.""" + + def test_valid_strategies(self): + """Test that VALID_PREAGG_STRATEGIES contains expected values.""" + assert MaterializationStrategy.FULL in VALID_PREAGG_STRATEGIES + assert MaterializationStrategy.INCREMENTAL_TIME in VALID_PREAGG_STRATEGIES + + def test_invalid_strategies_excluded(self): + """Test that invalid strategies are not in VALID_PREAGG_STRATEGIES.""" + assert MaterializationStrategy.SNAPSHOT not in VALID_PREAGG_STRATEGIES + assert MaterializationStrategy.SNAPSHOT_PARTITION not in VALID_PREAGG_STRATEGIES + assert MaterializationStrategy.VIEW not in VALID_PREAGG_STRATEGIES + + +class TestPreAggregationProperties: + """Tests for PreAggregation model properties.""" + + def test_status_pending_when_no_availability(self): + """Test that status is 'pending' when no availability.""" + pre_agg = PreAggregation( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + measures=[make_measure("sum_revenue", "revenue")], + grain_group_hash="abc123", + ) + pre_agg.availability = None + assert pre_agg.status == "pending" + + def test_status_active_when_has_availability(self): + """Test that status is 'active' when has availability.""" + pre_agg = PreAggregation( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + measures=[make_measure("sum_revenue", "revenue")], + grain_group_hash="abc123", + ) + # Mock availability + mock_availability = MagicMock() + mock_availability.catalog = "analytics" + mock_availability.schema_ = "materialized" + mock_availability.table = "preagg_123" + mock_availability.max_temporal_partition = ["2024", "01", "15"] + pre_agg.availability = mock_availability + + assert pre_agg.status == "active" + + def test_materialized_table_ref_none_when_no_availability(self): + """Test materialized_table_ref is None when no availability.""" + pre_agg = PreAggregation( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + measures=[make_measure("sum_revenue", "revenue")], + grain_group_hash="abc123", + ) + pre_agg.availability = None + assert pre_agg.materialized_table_ref is None + + def test_materialized_table_ref_with_all_parts(self): + """Test materialized_table_ref with catalog, schema, table.""" + pre_agg = PreAggregation( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + measures=[make_measure("sum_revenue", "revenue")], + grain_group_hash="abc123", + ) + mock_availability = MagicMock() + mock_availability.catalog = "analytics" + mock_availability.schema_ = "materialized" + mock_availability.table = "preagg_123" + pre_agg.availability = mock_availability + + assert pre_agg.materialized_table_ref == "analytics.materialized.preagg_123" + + def test_materialized_table_ref_without_catalog(self): + """Test materialized_table_ref without catalog.""" + pre_agg = PreAggregation( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + measures=[make_measure("sum_revenue", "revenue")], + grain_group_hash="abc123", + ) + mock_availability = MagicMock() + mock_availability.catalog = None + mock_availability.schema_ = "materialized" + mock_availability.table = "preagg_123" + pre_agg.availability = mock_availability + + assert pre_agg.materialized_table_ref == "materialized.preagg_123" + + def test_max_partition_none_when_no_availability(self): + """Test max_partition is None when no availability.""" + pre_agg = PreAggregation( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + measures=[make_measure("sum_revenue", "revenue")], + grain_group_hash="abc123", + ) + pre_agg.availability = None + assert pre_agg.max_partition is None + + def test_max_partition_from_availability(self): + """Test max_partition returns availability's max_temporal_partition.""" + pre_agg = PreAggregation( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + measures=[make_measure("sum_revenue", "revenue")], + grain_group_hash="abc123", + ) + mock_availability = MagicMock() + mock_availability.max_temporal_partition = ["2024", "01", "15"] + pre_agg.availability = mock_availability + + assert pre_agg.max_partition == ["2024", "01", "15"] + + +class TestComputePreAggHash: + """Tests for compute_preagg_hash function.""" + + def test_basic_hash(self): + """Test basic hash computation.""" + measures = [make_measure("sum_revenue", "revenue")] + hash1 = compute_preagg_hash( + node_revision_id=123, + grain_columns=["default.date_dim.date_id"], + measures=measures, + ) + assert isinstance(hash1, str) + assert len(hash1) == 8 # Truncated to 8 chars + + def test_same_inputs_same_hash(self): + """Test that same inputs produce same hash.""" + measures = [make_measure("sum_revenue", "revenue")] + hash1 = compute_preagg_hash(123, ["default.date_dim.date_id"], measures) + hash2 = compute_preagg_hash(123, ["default.date_dim.date_id"], measures) + assert hash1 == hash2 + + def test_different_node_revision_different_hash(self): + """Test that different node_revision_id produces different hash.""" + measures = [make_measure("sum_revenue", "revenue")] + hash1 = compute_preagg_hash(123, ["default.date_dim.date_id"], measures) + hash2 = compute_preagg_hash(456, ["default.date_dim.date_id"], measures) + assert hash1 != hash2 + + def test_different_measures_different_hash(self): + """Test that different measures produce different hash.""" + measures1 = [make_measure("sum_revenue", "revenue")] + measures2 = [make_measure("count_orders", "1", "COUNT")] + hash1 = compute_preagg_hash(123, ["default.date_dim.date_id"], measures1) + hash2 = compute_preagg_hash(123, ["default.date_dim.date_id"], measures2) + assert hash1 != hash2 + + def test_grain_order_does_not_matter(self): + """Test that grain column order doesn't affect hash.""" + measures = [make_measure("sum_revenue", "revenue")] + hash1 = compute_preagg_hash(123, ["a.b.c", "d.e.f"], measures) + hash2 = compute_preagg_hash(123, ["d.e.f", "a.b.c"], measures) + assert hash1 == hash2 + + +@pytest_asyncio.fixture +async def minimal_node_revision(session): + """Create a minimal node revision for testing PreAggregation.""" + # Create user + user = User( + username="test_preagg_user", + email="test_preagg@test.com", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.commit() + + # Create node + node = Node( + name="test.preagg.source_node", + type=NodeType.SOURCE, + created_by_id=user.id, + namespace="test.preagg", + ) + session.add(node) + await session.commit() + + # Create node revision + node_revision = NodeRevision( + name="test.preagg.source_node", + type=NodeType.SOURCE, + node_id=node.id, + created_by_id=user.id, + version="v1.0", + ) + session.add(node_revision) + await session.commit() + + return node_revision + + +@pytest.mark.asyncio +class TestPreAggregationDBMethods: + """Integration tests for PreAggregation async database methods.""" + + async def test_get_by_grain_group_hash( + self, + session, + minimal_node_revision, + ): + """Test get_by_grain_group_hash returns matching pre-aggs.""" + grain_columns = ["test.dim.col1"] + grain_hash = compute_grain_group_hash(minimal_node_revision.id, grain_columns) + + # Create 2 pre-aggs with same grain hash + preagg1 = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=grain_columns, + measures=[make_measure("sum_a", "a")], + columns=[], + sql="SELECT a FROM t GROUP BY col1", + grain_group_hash=grain_hash, + ) + preagg2 = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=grain_columns, + measures=[make_measure("sum_b", "b")], + columns=[], + sql="SELECT b FROM t GROUP BY col1", + grain_group_hash=grain_hash, + ) + # Different grain = different hash + other_hash = compute_grain_group_hash(minimal_node_revision.id, ["other.col"]) + preagg3 = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["other.col"], + measures=[make_measure("sum_c", "c")], + columns=[], + sql="SELECT c FROM t GROUP BY other", + grain_group_hash=other_hash, + ) + + session.add_all([preagg1, preagg2, preagg3]) + await session.flush() + + # Should find exactly 2 with matching hash + results = await PreAggregation.get_by_grain_group_hash( + session, + grain_hash, + ) + assert len(results) == 2 + + # Should find 1 with other hash + results = await PreAggregation.get_by_grain_group_hash( + session, + other_hash, + ) + assert len(results) == 1 + + # Should find 0 with non-existent hash + results = await PreAggregation.get_by_grain_group_hash( + session, + "nonexistent", + ) + assert len(results) == 0 + + async def test_get_by_id(self, session, minimal_node_revision): + """Test get_by_id returns pre-agg when found, None when not.""" + preagg = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=["test.col"], + measures=[make_measure("sum_x", "x")], + columns=[], + sql="SELECT x FROM t", + grain_group_hash="hash123", + ) + session.add(preagg) + await session.flush() + + # Found + result = await PreAggregation.get_by_id(session, preagg.id) + assert result is not None + assert result.id == preagg.id + + # Not found + result = await PreAggregation.get_by_id(session, 999999) + assert result is None + + async def test_find_matching_with_superset( + self, + session, + minimal_node_revision, + ): + """Test find_matching returns pre-agg with superset of measures.""" + grain_columns = ["test.dim.col"] + + preagg = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=grain_columns, + measures=[ + make_measure("sum_price", "price"), + make_measure("count_orders", "1", "COUNT"), + ], + columns=[], + sql="SELECT price, count(1) FROM t GROUP BY col", + grain_group_hash=compute_grain_group_hash( + minimal_node_revision.id, + grain_columns, + ), + ) + session.add(preagg) + await session.flush() + + # Request subset - should match + result = await PreAggregation.find_matching( + session, + node_revision_id=minimal_node_revision.id, + grain_columns=grain_columns, + measure_expr_hashes={compute_expression_hash("price")}, + ) + assert result is not None + assert result.id == preagg.id + + async def test_find_matching_no_match(self, session, minimal_node_revision): + """Test find_matching returns None when no candidate has superset.""" + grain_columns = ["test.dim.col"] + + preagg = PreAggregation( + node_revision_id=minimal_node_revision.id, + grain_columns=grain_columns, + measures=[make_measure("sum_price", "price")], + columns=[], + sql="SELECT price FROM t GROUP BY col", + grain_group_hash=compute_grain_group_hash( + minimal_node_revision.id, + grain_columns, + ), + ) + session.add(preagg) + await session.flush() + + # Request non-existent measure - should not match + result = await PreAggregation.find_matching( + session, + node_revision_id=minimal_node_revision.id, + grain_columns=grain_columns, + measure_expr_hashes={compute_expression_hash("nonexistent")}, + ) + assert result is None + + async def test_find_matching_no_candidates( + self, + session, + minimal_node_revision, + ): + """Test find_matching returns None when no candidates exist.""" + result = await PreAggregation.find_matching( + session, + node_revision_id=minimal_node_revision.id, + grain_columns=["completely.different.grain"], + measure_expr_hashes={compute_expression_hash("anything")}, + ) + assert result is None diff --git a/datajunction-server/tests/database/queryrequest_test.py b/datajunction-server/tests/database/queryrequest_test.py new file mode 100644 index 000000000..c98ccd995 --- /dev/null +++ b/datajunction-server/tests/database/queryrequest_test.py @@ -0,0 +1,379 @@ +import pytest +from datajunction_server.database.queryrequest import ( + VersionedNodeKey, + VersionedQueryKey, +) +from datajunction_server.database.node import Node + + +def test_str_with_version(): + key = VersionedNodeKey(name="some.node.name", version="v1") + assert str(key) == "some.node.name@v1" + + +def test_str_without_version(): + key = VersionedNodeKey(name="some.node.name") + assert str(key) == "some.node.name" + + +def test_eq_same_node_key(): + k1 = VersionedNodeKey(name="some.node.name", version="v1") + k2 = VersionedNodeKey(name="some.node.name", version="v1") + assert k1 == k2 + + +def test_eq_different_node_key(): + k1 = VersionedNodeKey(name="some.node.name", version="v1") + k2 = VersionedNodeKey(name="some.node.name", version="v2") + assert k1 != k2 + + +def test_eq_node_key_vs_str_with_version(): + k1 = VersionedNodeKey(name="some.node.name", version="v1") + assert k1 == "some.node.name@v1" + + +def test_eq_node_key_vs_str_without_version(): + k1 = VersionedNodeKey(name="some.node.name") + assert k1 == "some.node.name" + + +def test_eq_node_key_vs_str_mismatch(): + k1 = VersionedNodeKey(name="some.node.name", version="v1") + assert k1 != "some.node.name@v2" + assert k1 == "some.node.name@v1" + assert k1 != "some.node.name" + + +def test_eq_with_non_string_non_node(): + k1 = VersionedNodeKey(name="some.node.name", version="v1") + assert k1 != 123 + + +def test_hash(): + k1 = VersionedNodeKey(name="some.node.name", version="v1") + k2 = VersionedNodeKey(name="some.node.name", version="v1") + k3 = VersionedNodeKey(name="some.node.name", version="v2") + + assert hash(k1) == hash(k2) + assert hash(k1) != hash(k3) + + +def test_parse_with_version(): + parsed = VersionedNodeKey.parse("some.node.name@v1") + assert parsed.name == "some.node.name" + assert parsed.version == "v1" + + +def test_parse_without_version(): + parsed = VersionedNodeKey.parse("some.node.name") + assert parsed.name == "some.node.name" + assert parsed.version is None + + +def test_from_node(): + node = Node(name="some.node.name", current_version="v42") + key = VersionedNodeKey.from_node(node) + assert key.name == "some.node.name" + assert key.version == "v42" + + +@pytest.mark.asyncio +async def test_versioning_nodes(module__session, module__client_with_roads): + """ + Test versioning nodes and dimensions + """ + avg_repair_price, num_repair_orders = await Node.get_by_names( + module__session, + names=["default.avg_repair_price", "default.num_repair_orders"], + ) + versioned_nodes = await VersionedQueryKey.version_nodes( + module__session, + ["default.avg_repair_price", "default.num_repair_orders"], + ) + expected_nodes = [ + VersionedNodeKey( + name="default.avg_repair_price", + version=avg_repair_price.current_version, + ), + VersionedNodeKey( + name="default.num_repair_orders", + version=num_repair_orders.current_version, + ), + ] + assert versioned_nodes[0] == expected_nodes + assert versioned_nodes[1] == [ + VersionedNodeKey( + name="default.repair_orders_fact", + version=avg_repair_price.current.parents[0].current_version, + ), + ] + versioned_nodes = await VersionedQueryKey.version_nodes( + module__session, + ["default.num_repair_orders", "default.avg_repair_price"], + ) + assert versioned_nodes[0] == [ + VersionedNodeKey( + name="default.num_repair_orders", + version=num_repair_orders.current_version, + ), + VersionedNodeKey( + name="default.avg_repair_price", + version=avg_repair_price.current_version, + ), + ] + + dispatcher, hard_hat = await Node.get_by_names( + module__session, + names=["default.dispatcher", "default.hard_hat"], + ) + versioned_dimensions = await VersionedQueryKey.version_dimensions( + module__session, + ["default.dispatcher.company_name", "default.hard_hat.state"], + current_node=versioned_nodes[0], + ) + assert versioned_dimensions == [ + VersionedNodeKey( + name="default.dispatcher.company_name", + version=dispatcher.current_version, + ), + VersionedNodeKey( + name="default.hard_hat.state", + version=hard_hat.current_version, + ), + ] + + +@pytest.mark.asyncio +async def test_versioning_filters(module__session, module__client_with_roads): + filters = ["default.hard_hat.state = 'CA'", "default.hard_hat.state = 'NY'"] + hard_hat = await Node.get_by_name( + module__session, + name="default.hard_hat", + ) + versioned_filters = await VersionedQueryKey.version_filters( + module__session, + filters, + ) + assert len(versioned_filters) == 2 + assert ( + versioned_filters[0] + == f"default.hard_hat.state@{hard_hat.current_version} = 'CA'" + ) + assert ( + versioned_filters[1] + == f"default.hard_hat.state@{hard_hat.current_version} = 'NY'" + ) + + filters = [ + "default.hard_hat.state = 'CA' OR default.hard_hat.state = 'AB'", + "default.hard_hat.state IN ('A', 'B')", + ] + versioned_filters = await VersionedQueryKey.version_filters( + module__session, + filters, + ) + assert ( + versioned_filters[0] + == f"default.hard_hat.state@{hard_hat.current_version} = 'CA' OR default.hard_hat.state@{hard_hat.current_version} = 'AB'" + ) + assert ( + versioned_filters[1] + == f"default.hard_hat.state@{hard_hat.current_version} IN ('A', 'B')" + ) + + +@pytest.mark.asyncio +async def test_versioning_orderby(module__client_with_roads, module__session): + orderby = ["default.hard_hat.state DESC", "default.dispatcher.company_name ASC"] + versioned_orderby = await VersionedQueryKey.version_orderby( + module__session, + orderby, + ) + assert versioned_orderby[0] == "default.hard_hat.state@v1.1 DESC" + assert versioned_orderby[1] == "default.dispatcher.company_name@v1.0 ASC" + + +@pytest.mark.asyncio +async def test_version_query_request(module__client_with_roads, module__session): + dispatcher, hard_hat, avg_repair_price, num_repair_orders = await Node.get_by_names( + module__session, + names=[ + "default.dispatcher", + "default.hard_hat", + "default.avg_repair_price", + "default.num_repair_orders", + ], + ) + versioned_query_request = await VersionedQueryKey.version_query_request( + session=module__session, + nodes=["default.avg_repair_price", "default.num_repair_orders"], + dimensions=["default.dispatcher.company_name", "default.hard_hat.state"], + filters=[ + "default.hard_hat.state = 'CA'", + "default.hard_hat.state = 'NY'", + "default.avg_repair_price > 20", + ], + orderby=[ + "default.avg_repair_price DESC", + "default.dispatcher.company_name ASC", + ], + ) + assert ( + versioned_query_request + == VersionedQueryKey( + nodes=[ + VersionedNodeKey( + name="default.avg_repair_price", + version=avg_repair_price.current_version, + ), + VersionedNodeKey( + name="default.num_repair_orders", + version=num_repair_orders.current_version, + ), + ], + parents=[ + VersionedNodeKey( + name="default.repair_orders_fact", + version=avg_repair_price.current.parents[0].current_version, + ), + ], + dimensions=[ + VersionedNodeKey( + name="default.dispatcher.company_name", + version=dispatcher.current_version, + ), + VersionedNodeKey( + name="default.hard_hat.state", + version=hard_hat.current_version, + ), + ], + filters=[ + f"default.hard_hat.state@{hard_hat.current_version} = 'CA'", + f"default.hard_hat.state@{hard_hat.current_version} = 'NY'", # dimension + f"default.avg_repair_price@{avg_repair_price.current_version} > 20", # metric + ], + orderby=[ + f"default.avg_repair_price@{avg_repair_price.current_version} DESC", # metric + f"default.dispatcher.company_name@{dispatcher.current_version} ASC", # dimension + ], + ) + ) + + +@pytest.mark.asyncio +async def test_version_query_request_missing_nodes( + module__client_with_roads, + module__session, +): + dispatcher, hard_hat, avg_repair_price, num_repair_orders = await Node.get_by_names( + module__session, + names=[ + "default.dispatcher", + "default.hard_hat", + "default.avg_repair_price", + "default.num_repair_orders", + ], + ) + versioned_query_request = await VersionedQueryKey.version_query_request( + session=module__session, + nodes=["default.avg_repair_price", "default.num_repair_orders"], + dimensions=["default.dispatcher.company_name", "default.hard_hat.state"], + filters=[ + "default.hard_hat.state = 'NY'", + "default.bogus.bad > 10", + ], + orderby=[ + "default.avg_repair_price DESC", + ], + ) + assert versioned_query_request == VersionedQueryKey( + nodes=[ + VersionedNodeKey( + name="default.avg_repair_price", + version=avg_repair_price.current_version, + ), + VersionedNodeKey( + name="default.num_repair_orders", + version=num_repair_orders.current_version, + ), + ], + parents=[ + VersionedNodeKey( + name="default.repair_orders_fact", + version=avg_repair_price.current.parents[0].current_version, + ), + ], + dimensions=[ + VersionedNodeKey( + name="default.dispatcher.company_name", + version=dispatcher.current_version, + ), + VersionedNodeKey( + name="default.hard_hat.state", + version=hard_hat.current_version, + ), + ], + filters=[ + f"default.hard_hat.state@{hard_hat.current_version} = 'NY'", + "default.bogus.bad > 10", + ], + orderby=[ + f"default.avg_repair_price@{avg_repair_price.current_version} DESC", + ], + ) + + +@pytest.mark.asyncio +async def test_version_query_request_filter_on_dim_role( + module__client_with_roads, + module__session, +): + dispatcher, hard_hat, avg_repair_price, num_repair_orders = await Node.get_by_names( + module__session, + names=[ + "default.dispatcher", + "default.hard_hat", + "default.avg_repair_price", + "default.num_repair_orders", + ], + ) + versioned_query_request = await VersionedQueryKey.version_query_request( + session=module__session, + nodes=["default.avg_repair_price", "default.num_repair_orders"], + dimensions=["default.dispatcher.company_name", "default.hard_hat.state"], + filters=[ + "default.hard_hat.state[stuff] = 'NY'", + ], + orderby=[], + ) + assert versioned_query_request == VersionedQueryKey( + nodes=[ + VersionedNodeKey( + name="default.avg_repair_price", + version=avg_repair_price.current_version, + ), + VersionedNodeKey( + name="default.num_repair_orders", + version=num_repair_orders.current_version, + ), + ], + parents=[ + VersionedNodeKey( + name="default.repair_orders_fact", + version=avg_repair_price.current.parents[0].current_version, + ), + ], + dimensions=[ + VersionedNodeKey( + name="default.dispatcher.company_name", + version=dispatcher.current_version, + ), + VersionedNodeKey( + name="default.hard_hat.state", + version=hard_hat.current_version, + ), + ], + filters=[f"default.hard_hat.state[stuff]@{hard_hat.current_version} = 'NY'"], + orderby=[], + ) diff --git a/datajunction-server/tests/database/user_test.py b/datajunction-server/tests/database/user_test.py new file mode 100644 index 000000000..e1f7bf36c --- /dev/null +++ b/datajunction-server/tests/database/user_test.py @@ -0,0 +1,70 @@ +from typing import cast +import pytest +import pytest_asyncio +import pytest_asyncio +from datajunction_server.database.user import OAuthProvider, User +from sqlalchemy.ext.asyncio import AsyncSession + + +@pytest_asyncio.fixture +async def user(session: AsyncSession) -> User: + """ + A user fixture. + """ + user = User( + username="testuser", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.commit() + return user + + +@pytest_asyncio.fixture +async def another_user(session: AsyncSession) -> User: + """ + Another user fixture. + """ + user = User( + username="anotheruser", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.commit() + return user + + +@pytest.mark.asyncio +async def test_get_by_usernames( + session: AsyncSession, + user: User, + another_user: User, +): + users = await User.get_by_usernames(session, usernames=["testuser", "anotheruser"]) + assert len(users) == 2 + assert users[0].id == user.id + assert users[0].username == user.username + + assert users[1].id == another_user.id + assert users[1].username == another_user.username + + +@pytest.mark.asyncio +async def test_get_by_username( + session: AsyncSession, + user: User, + another_user: User, +): + retrieved_user = cast( + User, + await User.get_by_username(session, username="testuser"), + ) + assert retrieved_user.id == user.id + assert retrieved_user.username == user.username + + retrieved_another_user = cast( + User, + await User.get_by_username(session, username="anotheruser"), + ) + assert retrieved_another_user.id == another_user.id + assert retrieved_another_user.username == another_user.username diff --git a/datajunction-server/tests/default.duckdb b/datajunction-server/tests/default.duckdb new file mode 100644 index 000000000..560fc4f37 Binary files /dev/null and b/datajunction-server/tests/default.duckdb differ diff --git a/datajunction-server/tests/duckdb.sql b/datajunction-server/tests/duckdb.sql new file mode 100644 index 000000000..eee52213f --- /dev/null +++ b/datajunction-server/tests/duckdb.sql @@ -0,0 +1,584 @@ +CREATE SCHEMA roads; + +CREATE TABLE roads.repair_type ( + repair_type_id int, + repair_type_name string, + contractor_id string +); +INSERT INTO roads.repair_type VALUES +(1, 'Asphalt Overlay', 'Asphalt overlays restore roads to a smooth condition. This resurfacing uses the deteriorating asphalt as a base for which the new layer is added on top of, instead of tearing up the worsening one.'), +(2, 'Patching', 'Patching is the process of filling potholes or excavated areas in the asphalt pavement. Quick repair of potholes or other pavement disintegration helps control further deterioration and expensive repair of the pavement. Without timely patching, water can enter the sub-grade and cause larger and more serious pavement failures.'), +(3, 'Reshaping', 'This is necessary when a road surface it too damaged to be smoothed. Using a grader blade and scarifying if necessary, you rework the gravel sub-base to eliminate large potholes and rebuild a flattened crown.'), +(4, 'Slab Replacement', 'This refers to replacing sections of paved roads. It is a good option for when slabs are chipped, cracked, or uneven, and mitigates the need to replace the entire road when just a small section is damaged.'), +(5, 'Smoothing', 'This is when you lightly rework the gravel of a road without digging in too far to the sub-base. Typically, a motor grader is used in this operation with an attached blade. Smoothing is done when the road has minor damage or is just worn down a bit from use.'), +(6, 'Reconstruction', 'When roads have deteriorated to a point that it is no longer cost-effective to maintain, the entire street or road needs to be rebuilt. Typically, this work is done in phases to limit traffic restrictions. As part of reconstruction, the street may be realigned to improve safety or operations, grading may be changed to improve storm water flow, underground utilities may be added, upgraded or relocated, traffic signals and street lights may be relocated, and street trees and pedestrian ramps may be added.'); + +CREATE TABLE roads.municipality ( + municipality_id string, + contact_name string, + contact_title string, + local_region string, + state_id int, + phone string +); +INSERT INTO roads.municipality VALUES +('New York', 'Alexander Wilkinson', 'Assistant City Clerk', 'Manhattan', 33, '202-291-2922'), +('Los Angeles', 'Hugh Moser', 'Administrative Assistant', 'Santa Monica', 5, '808-211-2323'), +('Chicago', 'Phillip Bradshaw', 'Director of Community Engagement', 'West Ridge', 14, '425-132-3421'), +('Houston', 'Leo Ackerman', 'Municipal Roads Specialist', 'The Woodlands', 44, '413-435-8641'), +('Phoenix', 'Jessie Paul', 'Director of Finance and Administration', 'Old Town Scottsdale', 3, '321-425-5427'), +('Philadelphia', 'Willie Chaney', 'Municipal Manager', 'Center City', 39, '212-213-5361'), +('San Antonio', 'Chester Lyon', 'Treasurer', 'Alamo Heights', 44, '252-216-6938'), +('San Diego', 'Ralph Helms', 'Senior Electrical Project Manager', 'Del Mar', 5, '491-813-2417'), +('Dallas', 'Virgil Craft', 'Assistant Assessor (Town/Municipality)', 'Deep Ellum', 44, '414-563-7894'), +('San Jose', 'Charles Carney', 'Municipal Accounting Manager', 'Santana Row', 5, '408-313-0698'); + +CREATE TABLE roads.hard_hats ( + hard_hat_id int, + last_name string, + first_name string, + title string, + birth_date date, + hire_date date, + address string, + city string, + state string, + postal_code string, + country string, + manager int, + contractor_id int +); +INSERT INTO roads.hard_hats VALUES +(1, 'Brian', 'Perkins', 'Construction Laborer', cast('1978-11-28' as date), cast('2009-02-06' as date), '4 Jennings Ave.', 'Jersey City', 'NJ', '37421', 'USA', 9, 1), +(2, 'Nicholas', 'Massey', 'Carpenter', cast('1993-02-19' as date), cast('2003-04-14' as date), '9373 Southampton Street', 'Middletown', 'CT', '27292', 'USA', 9, 1), +(3, 'Cathy', 'Best', 'Framer', cast('1994-08-30' as date), cast('1990-07-02' as date), '4 Hillside Street', 'Billerica', 'MA', '13440', 'USA', 9, 2), +(4, 'Melanie', 'Stafford', 'Construction Manager', cast('1966-03-19' as date), cast('2003-02-02' as date), '77 Studebaker Lane', 'Southampton', 'PA', '71730', 'USA', 9, 2), +(5, 'Donna', 'Riley', 'Pre-construction Manager', cast('1983-03-14' as date), cast('2012-01-13' as date), '82 Taylor Drive', 'Southgate', 'MI', '33125', 'USA', 9, 4), +(6, 'Alfred', 'Clarke', 'Construction Superintendent', cast('1979-01-12' as date), cast('2013-10-17' as date), '7729 Catherine Street', 'Powder Springs', 'GA', '42001', 'USA', 9, 2), +(7, 'William', 'Boone', 'Construction Laborer', cast('1970-02-28' as date), cast('2013-01-02' as date), '1 Border St.', 'Niagara Falls', 'NY', '14304', 'USA', 9, 4), +(8, 'Luka', 'Henderson', 'Construction Laborer', cast('1988-12-09' as date), cast('2013-03-05' as date), '794 S. Chapel Ave.', 'Phoenix', 'AZ', '85021', 'USA', 9, 1), +(9, 'Patrick', 'Ziegler', 'Construction Laborer', cast('1976-11-27' as date), cast('2020-11-15' as date), '321 Gainsway Circle', 'Muskogee', 'OK', '74403', 'USA', 9, 3); + +CREATE TABLE roads.hard_hat_state ( + hard_hat_id int, + state_id int +); +INSERT INTO roads.hard_hat_state VALUES +(1, 2), +(2, 32), +(3, 28), +(4, 12), +(5, 5), +(6, 3), +(7, 16), +(8, 32), +(9, 41); + +CREATE TABLE roads.repair_order_details ( + repair_order_id int, + repair_type_id int, + price real NOT NULL, + quantity int, + discount real NOT NULL +); +INSERT INTO roads.repair_order_details VALUES +(10001, 1, 63708, 1, 0.05), +(10002, 4, 67253, 1, 0.05), +(10003, 2, 66808, 1, 0.05), +(10004, 4, 18497, 1, 0.05), +(10005, 7, 76463, 1, 0.05), +(10006, 4, 87858, 1, 0.05), +(10007, 1, 63918, 1, 0.05), +(10008, 6, 21083, 1, 0.05), +(10009, 3, 74555, 1, 0.05), +(10010, 5, 27222, 1, 0.05), +(10011, 5, 73600, 1, 0.05), +(10012, 3, 54901, 1, 0.01), +(10013, 5, 51594, 1, 0.01), +(10014, 1, 65114, 1, 0.01), +(10015, 1, 48919, 1, 0.01), +(10016, 3, 70418, 1, 0.01), +(10017, 1, 29684, 1, 0.01), +(10018, 2, 62928, 1, 0.01), +(10019, 2, 97916, 1, 0.01), +(10020, 5, 44120, 1, 0.01), +(10021, 1, 53374, 1, 0.01), +(10022, 2, 87289, 1, 0.01), +(10023, 2, 92366, 1, 0.01), +(10024, 2, 47857, 1, 0.01), +(10025, 1, 68745, 1, 0.01); + +CREATE TABLE roads.repair_orders ( + repair_order_id int, + municipality_id string, + hard_hat_id int, + order_date date, + required_date date, + dispatched_date date, + dispatcher_id int +); +INSERT INTO roads.repair_orders VALUES +(10001, 'New York', 1, cast('2007-07-04' as date), cast('2009-07-18' as date), cast('2007-12-01' as date), 3), +(10002, 'New York', 3, cast('2007-07-05' as date), cast('2009-08-28' as date), cast('2007-12-01' as date), 1), +(10003, 'New York', 5, cast('2007-07-08' as date), cast('2009-08-12' as date), cast('2007-12-01' as date), 2), +(10004, 'Dallas', 1, cast('2007-07-08' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 1), +(10005, 'San Antonio', 8, cast('2007-07-09' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 2), +(10006, 'New York', 3, cast('2007-07-10' as date), cast('2009-08-01' as date), cast('2007-12-01' as date), 2), +(10007, 'Philadelphia', 4, cast('2007-04-21' as date), cast('2009-08-08' as date), cast('2007-12-01' as date), 2), +(10008, 'Philadelphia', 5, cast('2007-04-22' as date), cast('2009-08-09' as date), cast('2007-12-01' as date), 3), +(10009, 'Philadelphia', 3, cast('2007-04-25' as date), cast('2009-08-12' as date), cast('2007-12-01' as date), 2), +(10010, 'Philadelphia', 4, cast('2007-04-26' as date), cast('2009-08-13' as date), cast('2007-12-01' as date), 3), +(10011, 'Philadelphia', 4, cast('2007-04-27' as date), cast('2009-08-14' as date), cast('2007-12-01' as date), 1), +(10012, 'Philadelphia', 8, cast('2007-04-28' as date), cast('2009-08-15' as date), cast('2007-12-01' as date), 3), +(10013, 'Philadelphia', 4, cast('2007-04-29' as date), cast('2009-08-16' as date), cast('2007-12-01' as date), 1), +(10014, 'Philadelphia', 6, cast('2007-04-29' as date), cast('2009-08-16' as date), cast('2007-12-01' as date), 2), +(10015, 'Philadelphia', 2, cast('2007-04-12' as date), cast('2009-08-19' as date), cast('2007-12-01' as date), 3), +(10016, 'Philadelphia', 9, cast('2007-04-13' as date), cast('2009-08-20' as date), cast('2007-12-01' as date), 3), +(10017, 'Philadelphia', 2, cast('2007-04-14' as date), cast('2009-08-21' as date), cast('2007-12-01' as date), 3), +(10018, 'Philadelphia', 6, cast('2007-04-15' as date), cast('2009-08-22' as date), cast('2007-12-01' as date), 1), +(10019, 'Philadelphia', 5, cast('2007-05-16' as date), cast('2009-09-06' as date), cast('2007-12-01' as date), 3), +(10020, 'Philadelphia', 1, cast('2007-05-19' as date), cast('2009-08-26' as date), cast('2007-12-01' as date), 1), +(10021, 'Philadelphia', 7, cast('2007-05-10' as date), cast('2009-08-27' as date), cast('2007-12-01' as date), 3), +(10022, 'Philadelphia', 5, cast('2007-05-11' as date), cast('2009-08-14' as date), cast('2007-12-01' as date), 1), +(10023, 'Philadelphia', 1, cast('2007-05-11' as date), cast('2009-08-29' as date), cast('2007-12-01' as date), 1), +(10024, 'Philadelphia', 5, cast('2007-05-11' as date), cast('2009-08-29' as date), cast('2007-12-01' as date), 2), +(10025, 'Philadelphia', 6, cast('2007-05-12' as date), cast('2009-08-30' as date), cast('2007-12-01' as date), 2); + +CREATE TABLE roads.dispatchers ( + dispatcher_id int, + company_name string, + phone string +); +INSERT INTO roads.dispatchers VALUES +(1, 'Pothole Pete', '(111) 111-1111'), +(2, 'Asphalts R Us', '(222) 222-2222'), +(3, 'Federal Roads Group', '(333) 333-3333'), +(4, 'Local Patchers', '1-800-888-8888'), +(5, 'Gravel INC', '1-800-000-0000'), +(6, 'DJ Developers', '1-111-111-1111'); + +CREATE TABLE roads.contractors ( + contractor_id int, + company_name string, + contact_name string, + contact_title string, + address string, + city string, + state string, + postal_code string, + country string, + phone string +); +INSERT INTO roads.contractors VALUES +(1, 'You Need Em We Find Em', 'Max Potter', 'Assistant Director', '4 Plumb Branch Lane', 'Goshen', 'IN', '46526', 'USA', '(111) 111-1111'), +(2, 'Call Forwarding', 'Sylvester English', 'Administrator', '9650 Mill Lane', 'Raeford', 'NC', '28376', 'USA', '(222) 222-2222'), +(3, 'The Connect', 'Paul Raymond', 'Administrator', '7587 Myrtle Ave.', 'Chaska', 'MN', '55318', 'USA', '(333) 333-3333'); + +CREATE TABLE roads.us_region ( + us_region_id int, + us_region_description string +); +INSERT INTO roads.us_region VALUES +(1, 'Eastern'), +(2, 'Western'), +(3, 'Northern'), +(4, 'Southern'); + +CREATE TABLE roads.us_states ( + state_id int, + state_name string, + state_abbr string, + state_region string +); +INSERT INTO roads.us_states VALUES +(1, 'Alabama', 'AL', 'Southern'), +(2, 'Alaska', 'AK', 'Northern'), +(3, 'Arizona', 'AZ', 'Western'), +(4, 'Arkansas', 'AR', 'Southern'), +(5, 'California', 'CA', 'Western'), +(6, 'Colorado', 'CO', 'Western'), +(7, 'Connecticut', 'CT', 'Eastern'), +(8, 'Delaware', 'DE', 'Eastern'), +(9, 'District of Columbia', 'DC', 'Eastern'), +(10, 'Florida', 'FL', 'Southern'), +(11, 'Georgia', 'GA', 'Southern'), +(12, 'Hawaii', 'HI', 'Western'), +(13, 'Idaho', 'ID', 'Western'), +(14, 'Illinois', 'IL', 'Western'), +(15, 'Indiana', 'IN', 'Western'), +(16, 'Iowa', 'IO', 'Western'), +(17, 'Kansas', 'KS', 'Western'), +(18, 'Kentucky', 'KY', 'Southern'), +(19, 'Louisiana', 'LA', 'Southern'), +(20, 'Maine', 'ME', 'Northern'), +(21, 'Maryland', 'MD', 'Eastern'), +(22, 'Massachusetts', 'MA', 'Northern'), +(23, 'Michigan', 'MI', 'Northern'), +(24, 'Minnesota', 'MN', 'Northern'), +(25, 'Mississippi', 'MS', 'Southern'), +(26, 'Missouri', 'MO', 'Southern'), +(27, 'Montana', 'MT', 'Western'), +(28, 'Nebraska', 'NE', 'Western'), +(29, 'Nevada', 'NV', 'Western'), +(30, 'New Hampshire', 'NH', 'Eastern'), +(31, 'New Jersey', 'NJ', 'Eastern'), +(32, 'New Mexico', 'NM', 'Western'), +(33, 'New York', 'NY', 'Eastern'), +(34, 'North Carolina', 'NC', 'Eastern'), +(35, 'North Dakota', 'ND', 'Western'), +(36, 'Ohio', 'OH', 'Western'), +(37, 'Oklahoma', 'OK', 'Western'), +(38, 'Oregon', 'OR', 'Western'), +(39, 'Pennsylvania', 'PA', 'Eastern'), +(40, 'Rhode Island', 'RI', 'Eastern'), +(41, 'South Carolina', 'SC', 'Eastern'), +(42, 'South Dakota', 'SD', 'Western'), +(43, 'Tennessee', 'TN', 'Western'), +(44, 'Texas', 'TX', 'Western'), +(45, 'Utah', 'UT', 'Western'), +(46, 'Vermont', 'VT', 'Eastern'), +(47, 'Virginia', 'VA', 'Eastern'), +(48, 'Washington', 'WA', 'Western'), +(49, 'West Virginia', 'WV', 'Southern'), +(50, 'Wisconsin', 'WI', 'Western'), +(51, 'Wyoming', 'WY', 'Western'); + +CREATE TABLE roads.municipality_municipality_type ( + municipality_id string, + municipality_type_id string +); +INSERT INTO roads.municipality_municipality_type VALUES +('New York', 'A'), +('Los Angeles', 'B'), +('Chicago', 'B'), +('Houston', 'A'), +('Phoenix', 'A'), +('Philadelphia', 'B'), +('San Antonio', 'A'), +('San Diego', 'B'), +('Dallas', 'A'), +('San Jose', 'B'); + +CREATE TABLE roads.municipality_type ( + municipality_type_id string, + municipality_type_desc string +); +INSERT INTO roads.municipality_type VALUES +('A', 'Primary'), +('A', 'Secondary'); + +CREATE SCHEMA campaigns; + +CREATE TABLE campaigns.campaign_views ( + campaign_id int, + campaign_name string, + created_at timestamp, + views int +); + +INSERT INTO campaigns.campaign_views VALUES +(1, 'Clean Up Your Yard Marketing', epoch_ms(1526290800000), 120), +(2, 'Summer Sale Campaign', epoch_ms(1456472400000), 500), +(3, 'New Product Launch', epoch_ms(1341392400000), 250), +(4, 'Holiday Special Offers', epoch_ms(1451600400000), 800), +(5, 'Spring Cleaning Deals', epoch_ms(1472667600000), 300), +(6, 'Back to School Promotion', epoch_ms(1293848400000), 150), +(7, 'Winter Clearance Sale', epoch_ms(1512123600000), 900), +(8, 'Outdoor Adventure Campaign', epoch_ms(1288779600000), 400), +(9, 'Health and Wellness Expo', epoch_ms(1335795600000), 200), +(10, 'Summer Vacation Deals', epoch_ms(1462069200000), 600), +(11, 'Home Renovation Offers', epoch_ms(1396314000000), 350), +(12, 'Fashion Show Sponsorship', epoch_ms(1248478800000), 750), +(13, 'Charity Fundraising Drive', epoch_ms(1363563600000), 420), +(14, 'Tech Gadgets Showcase', epoch_ms(1433106000000), 230), +(15, 'Gourmet Food Festival', epoch_ms(1308032400000), 150), +(16, 'Music Concert Ticket Sales', epoch_ms(1380584400000), 550), +(17, 'Book Fair and Author Meet', epoch_ms(1262274000000), 180), +(18, 'Fitness Challenge Event', epoch_ms(1502053200000), 670), +(19, 'Pet Adoption Awareness', epoch_ms(1319638800000), 290), +(20, 'Art Exhibition Opening', epoch_ms(1409422800000), 390), +(21, 'Wedding Planning Expo', epoch_ms(1274245200000), 420), +(22, 'Sports Equipment Sale', epoch_ms(1419987600000), 780), +(23, 'Tech Startup Conference', epoch_ms(1370302800000), 210), +(24, 'Environmental Awareness', epoch_ms(1328053200000), 840), +(25, 'Travel and Adventure Expo', epoch_ms(1366832400000), 350), +(26, 'Automobile Showroom Launch', epoch_ms(1425162000000), 420), +(27, 'Film Festival Promotion', epoch_ms(1356997200000), 590), +(28, 'Summer Camp Enrollment', epoch_ms(1388778000000), 240), +(29, 'Online Shopping Festival', epoch_ms(1251776400000), 430), +(30, 'Healthcare Symposium', epoch_ms(1443642000000), 980); + +CREATE TABLE campaigns.email ( + campaign_id int, + email_address string, + email_id int, + last_contacted timestamp, + views int +); + +INSERT INTO campaigns.email VALUES +(1, 'mark@fakedomain.com', 1, to_timestamp(1451606400000), 2), +(1, 'john@fakedomain.com', 2, to_timestamp(1454284800000), 7), +(1, 'isaiah@fakedomain.com', 3, to_timestamp(1456790400000), 10), +(1, 'ruby@fakedomain.com', 4, to_timestamp(1459468800000), 5), +(1, 'oliver@fakedomain.com', 5, to_timestamp(1462060800000), 9), +(1, 'emma@fakedomain.com', 6, to_timestamp(1464739200000), 12), +(1, 'liam@fakedomain.com', 7, to_timestamp(1467331200000), 4), +(1, 'ava@fakedomain.com', 8, to_timestamp(1470009600000), 11), +(1, 'noah@fakedomain.com', 9, to_timestamp(1472688000000), 7), +(1, 'isabella@fakedomain.com', 10, to_timestamp(1475280000000), 3), +(2, 'sophia@fakedomain.com', 1, to_timestamp(1477958400000), 8), +(2, 'mason@fakedomain.com', 2, to_timestamp(1480550400000), 6), +(2, 'camila@fakedomain.com', 3, to_timestamp(1483228800000), 11), +(2, 'henry@fakedomain.com', 4, to_timestamp(1485907200000), 13), +(2, 'mia@fakedomain.com', 5, to_timestamp(1488326400000), 6), +(2, 'ethan@fakedomain.com', 6, to_timestamp(1491004800000), 9), +(2, 'lucas@fakedomain.com', 7, to_timestamp(1493596800000), 5), +(2, 'harper@fakedomain.com', 8, to_timestamp(1496275200000), 14), +(2, 'alexander@fakedomain.com', 9, to_timestamp(1498867200000), 12), +(2, 'abigail@fakedomain.com', 10, to_timestamp(1501545600000), 2), +(3, 'james@fakedomain.com', 1, to_timestamp(1504224000000), 7), +(3, 'amelia@fakedomain.com', 2, to_timestamp(1506816000000), 4), +(3, 'benjamin@fakedomain.com', 3, to_timestamp(1509494400000), 10), +(3, 'evelyn@fakedomain.com', 4, to_timestamp(1512086400000), 6), +(3, 'michael@fakedomain.com', 5, to_timestamp(1514764800000), 3), +(3, 'charlotte@fakedomain.com', 6, to_timestamp(1517443200000), 8), +(3, 'daniel@fakedomain.com', 7, to_timestamp(1520035200000), 12), +(3, 'harper@fakedomain.com', 8, to_timestamp(1522713600000), 9), +(3, 'lucas@fakedomain.com', 9, to_timestamp(1525305600000), 5), +(3, 'isabella@fakedomain.com', 10, to_timestamp(1527984000000), 11); + +CREATE TABLE campaigns.sms ( + campaign_id int, + phone_number string, + message string, + last_contacted timestamp, +); + +INSERT INTO campaigns.sms VALUES +(11, '(215) 111-1111', 'Click here to redeem 20% off!: http://smalllink', epoch_ms(1459468800000)), +(12, '(215) 222-2222', 'Interested in new lawn equipment?: http://smalllink', epoch_ms(1459468800001)), +(12, '(215) 333-3333', 'These sales will not last!: http://smalllink', epoch_ms(1459468800002)), +(13, '(215) 444-4444', 'Fall is here, enjoy half-off!: http://smalllink', epoch_ms(1459468800003)), +(14, '(215) 555-5555', 'Get the best deals today!: http://smalllink', epoch_ms(1459468800004)), +(15, '(215) 666-6666', 'Limited time offer - 30% off!: http://smalllink', epoch_ms(1459468800005)), +(16, '(215) 777-7777', 'Do not miss out on our sale!: http://smalllink', epoch_ms(1459468800006)), +(17, '(215) 888-8888', 'Exclusive discount for you!: http://smalllink', epoch_ms(1459468800007)), +(18, '(215) 999-9999', 'Shop now and save big!: http://smalllink', epoch_ms(1459468800008)), +(19, '(215) 000-0000', 'Huge clearance sale - up to 50% off!: http://smalllink', epoch_ms(1459468800009)), +(10, '(215) 123-4567', 'New arrivals with special discounts!: http://smalllink', epoch_ms(1459468800010)), +(11, '(215) 234-5678', 'Save money with our promo codes!: http://smalllink', epoch_ms(1459468800011)), +(12, '(215) 345-6789', 'Enjoy free shipping on all orders!: http://smalllink', epoch_ms(1459468800012)), +(13, '(215) 456-7890', 'Limited stock available - act fast!: http://smalllink', epoch_ms(1459468800013)), +(14, '(215) 567-8901', 'Upgrade your home with our deals!: http://smalllink', epoch_ms(1459468800014)), +(15, '(215) 678-9012', 'Special discount for loyal customers!: http://smalllink', epoch_ms(1459468800015)), +(16, '(215) 789-0123', 'Do not miss our summer sale!: http://smalllink', epoch_ms(1459468800016)), +(17, '(215) 890-1234', 'Exclusive offer - limited time only!: http://smalllink', epoch_ms(1459468800017)), +(18, '(215) 901-2345', 'Shop now and get a free gift!: http://smalllink', epoch_ms(1459468800018)), +(19, '(215) 012-3456', 'Big discounts on popular brands!: http://smalllink', epoch_ms(1459468800019)), +(10, '(215) 987-6543', 'Save up to 70% off on selected items!: http://smalllink', epoch_ms(1459468800020)), +(11, '(215) 876-5432', 'Limited time offer - buy one, get one free!: http://smalllink', epoch_ms(1459468800021)), +(12, '(215) 765-4321', 'Great deals for your next vacation!: http://smalllink', epoch_ms(1459468800022)), +(13, '(215) 654-3210', 'Get ready for the holiday season with our discounts!: http://smalllink', epoch_ms(1459468800023)), +(14, '(215) 543-2109', 'Save on electronics and gadgets!: http://smalllink', epoch_ms(1459468800024)), +(15, '(215) 432-1098', 'Limited stock available - you do not want to miss out!: http://smalllink', epoch_ms(1459468800025)), +(16, '(215) 321-0987', 'Shop now and enjoy free returns!: http://smalllink', epoch_ms(1459468800026)), +(17, '(215) 210-9876', 'Exclusive discount for online orders!: http://smalllink', epoch_ms(1459468800027)), +(18, '(215) 109-8765', 'Upgrade your wardrobe with our sale!: http://smalllink', epoch_ms(1459468800028)), +(19, '(215) 098-7654', 'Will you miss our clearance sale??: http://smalllink', epoch_ms(1459468800029)), +(10, '(215) 987-6543', 'Get the best deals for your home!: http://smalllink', epoch_ms(1459468800030)), +(12, '(215) 222-2222', 'New collection now available!: http://smalllink', epoch_ms(1459468800002)), +(13, '(215) 333-3333', 'Limited stock - dont miss out!: http://smalllink', epoch_ms(1459468800003)), +(14, '(215) 444-4444', 'Free shipping on all orders!: http://smalllink', epoch_ms(1459468800004)), +(15, '(215) 555-5555', 'Sign up for exclusive offers!: http://smalllink', epoch_ms(1459468800005)), +(16, '(215) 666-6666', 'Get ready for summer with our new arrivals!: http://smalllink', epoch_ms(1459468800006)), +(17, '(215) 777-7777', 'Limited time sale - up to 60% off!: http://smalllink', epoch_ms(1459468800007)), +(10, '(215) 111-2222', 'Shop now and receive a gift card!: http://smalllink', epoch_ms(1459468800010)), +(11, '(215) 222-3333', 'Final clearance - last chance to save!: http://smalllink', epoch_ms(1459468800011)), +(12, '(215) 333-4444', 'Get the latest fashion trends at discounted prices!: http://smalllink', epoch_ms(1459468800012)), +(13, '(215) 444-5555', 'Upgrade your electronics with our special offers!: http://smalllink', epoch_ms(1459468800013)), +(14, '(215) 555-6666', 'Big savings on home appliances!: http://smalllink', epoch_ms(1459468800014)), +(15, '(215) 666-7777', 'Limited stock - shop now before its gone!: http://smalllink', epoch_ms(1459468800015)), +(16, '(215) 777-8888', 'Get the best deals on beauty products!: http://smalllink', epoch_ms(1459468800016)), +(11, '(215) 012-3456', 'Dont miss our summer sale!: http://smalllink', epoch_ms(1459468800021)), +(12, '(215) 123-4567', 'Exclusive offer for our loyal customers!: http://smalllink', epoch_ms(1459468800022)), +(13, '(215) 234-5678', 'Shop now and enjoy free returns!: http://smalllink', epoch_ms(1459468800023)), +(14, '(215) 345-6789', 'Upgrade your gaming setup with our deals!: http://smalllink', epoch_ms(1459468800024)), +(15, '(215) 456-7890', 'Save on outdoor essentials for your next adventure!: http://smalllink', epoch_ms(1459468800025)), +(16, '(215) 567-8901', 'Limited time offer - buy one, get one free!: http://smalllink', epoch_ms(1459468800026)), +(19, '(215) 098-7654', 'Discover the latest tech gadgets at discounted prices!: http://smalllink', epoch_ms(1459468800029)), +(12, '(215) 876-5432', 'Get the perfect gift for your loved ones!: http://smalllink', epoch_ms(1459468800031)); + +CREATE TABLE campaigns.commercial ( + campaign_id int, + station string, + last_played timestamp, +); + +INSERT INTO campaigns.commercial VALUES +(23, 'Montgomery Oldies Station', epoch_ms(1688879124599)), +(21, 'Lithonia Jazz & Blues', epoch_ms(1688879124599)), +(20, 'Manchester 90s R&B', epoch_ms(1688879124599)), +(22, 'Los Angeles Rock Hits', epoch_ms(1688879124599)), +(23, 'Chicago Pop Mix', epoch_ms(1688879124599)), +(24, 'Houston Country Station', epoch_ms(1688879124599)), +(25, 'New York Hip Hop', epoch_ms(1688879124599)), +(26, 'Seattle Alternative Rock', epoch_ms(1688879124599)), +(27, 'Miami Latin Beats', epoch_ms(1688879124599)), +(28, 'Denver Indie Folk', epoch_ms(1688879124599)), +(29, 'Boston Classical', epoch_ms(1688879124599)), +(20, 'San Francisco Electronic', epoch_ms(1688879124599)), +(21, 'Philadelphia R&B Hits', epoch_ms(1688879124599)), +(22, 'Dallas Pop Punk', epoch_ms(1688879124599)), +(23, 'Atlanta Gospel', epoch_ms(1688879124599)), +(24, 'Las Vegas Hard Rock', epoch_ms(1688879124599)), +(25, 'Phoenix Country Hits', epoch_ms(1688879124599)), +(26, 'Portland Alternative', epoch_ms(1688879124599)), +(27, 'Austin Indie Rock', epoch_ms(1688879124599)), +(28, 'Nashville Country Classics', epoch_ms(1688879124599)), +(29, 'San Diego Surf Rock', epoch_ms(1688879124599)), +(20, 'Minneapolis Folk', epoch_ms(1688879124599)), +(21, 'Detroit Motown', epoch_ms(1688879124599)), +(22, 'Baltimore Jazz Lounge', epoch_ms(1688879124599)), +(23, 'Kansas City Blues', epoch_ms(1688879124599)), +(24, 'St. Louis Smooth Jazz', epoch_ms(1688879124599)), +(25, 'Cleveland Classic Rock', epoch_ms(1688879124599)), +(26, 'Pittsburgh Metal', epoch_ms(1688879124599)), +(27, 'Charlotte Pop Hits', epoch_ms(1688879124599)), +(28, 'Raleigh-Durham Indie Pop', epoch_ms(1688879124599)), +(29, 'Tampa Bay Reggae', epoch_ms(1688879124599)); + +CREATE SCHEMA games; + +CREATE TABLE games.titles ( + game_id int, + game_name string, + num_distinct_players int, + release_date timestamp, + platform string, + genre string, + publisher_id int, + developer_id int, + average_rating float, + online_mode boolean, + total_sales int, + active_monthly int, + dlcs int +); + +INSERT INTO games.titles ( + game_id, + game_name, + num_distinct_players, + release_date, + platform, + genre, + publisher_id, + developer_id, + average_rating, + online_mode, + total_sales, + active_monthly, + dlcs +) +VALUES + (1, 'Battle of the Chinchillas: Furry Fury', 1000, '2022-01-01 00:00:00', 'PS5', 'Action', 1, 928, 4.5, true, 1000000, 5000, 3), + (2, 'Grand Theft Toaster: Carb City Chronicles', 500, '2021-06-15 00:00:00', 'Xbox Series X', 'RPG', 1, 948, 4.2, false, 750000, 2500, 2), + (3, 'Super Slime Soccer: Gooey Goalkeepers', 2000, '2020-11-30 00:00:00', 'Nintendo Switch', 'Sports', 2, 937, 4.8, true, 500000, 3000, 4), + (4, 'Dance Dance Avocado: Guacamole Groove', 1500, '2022-08-20 00:00:00', 'PC', 'Rhythm', 22, 987, 4.6, true, 250000, 2000, 1), + (5, 'Zombie Zookeeper: Undead Menagerie', 800, '2023-02-10 00:00:00', 'PS4', 'Strategy', 13, 902, 4.4, false, 300000, 1500, 3), + (6, 'Squirrel Simulator: Nutty Adventure', 3000, '2021-03-05 00:00:00', 'Xbox One', 'Simulation', 15, 928, 4.2, true, 400000, 2500, 2), + (7, 'Crash Test Dummies: Wacky Collision', 1200, '2022-05-15 00:00:00', 'PC', 'Action', 12, 928, 4.7, false, 150000, 1000, 1), + (8, 'Pizza Delivery Panic: Cheesy Chaos', 1000, '2023-01-30 00:00:00', 'Nintendo Switch', 'Arcade', 8, 928, 4.3, true, 200000, 1800, 2), + (9, 'Alien Abduction Academy: Extraterrestrial Education', 2500, '2020-09-05 00:00:00', 'PS5', 'Adventure', 7, 987, 4.5, false, 800000, 3500, 3), + (10, 'Crazy Cat Circus: Meow Mayhem', 700, '2022-07-25 00:00:00', 'Xbox Series X', 'Puzzle', 18, 987, 4.1, true, 100000, 1200, 1), + (11, 'Robot Rampage: Mechanical Mayhem', 1800, '2021-04-12 00:00:00', 'PC', 'Action', 4, 987, 4.6, true, 450000, 2200, 2), + (12, 'Super Spy Squirrels: Nutty Espionage', 900, '2023-03-18 00:00:00', 'PS4', 'Stealth', 10, 934, 4.4, false, 400000, 1800, 3), + (13, 'Banana Blaster: Fruit Frenzy', 2800, '2021-02-08 00:00:00', 'Xbox One', 'Shooter', 10, 934, 4.3, true, 700000, 3000, 2), + (14, 'Penguin Paradise: Antarctic Adventure', 1100, '2022-04-05 00:00:00', 'PC', 'Simulation', 20, 902, 4.7, false, 200000, 1200, 1), + (15, 'Unicorn Universe: Rainbow Realm', 500, '2023-01-15 00:00:00', 'Nintendo Switch', 'Adventure', 1, 902, 4.2, true, 150000, 900, 2), + (16, 'Spaghetti Showdown: Saucy Shootout', 2100, '2020-10-20 00:00:00', 'PS5', 'Action', 4, 902, 4.4, true, 550000, 2500, 3), + (17, 'Bubblegum Bandits: Sticky Heist', 800, '2022-06-10 00:00:00', 'Xbox Series X', 'Stealth', 3, 902, 4.1, false, 180000, 800, 1), + (18, 'Safari Slingshot: Wild Wildlife', 1300, '2021-03-01 00:00:00', 'PC', 'Arcade', 3, 987, 4.6, true, 300000, 1500, 2), + (19, 'Monster Mop: Cleaning Catastrophe', 600, '2022-12-20 00:00:00', 'Nintendo Switch', 'Puzzle', 17, 934, 4.3, false, 120000, 700, 1), + (20, 'Galactic Golf: Space Swing', 1900, '2020-08-15 00:00:00', 'PS4', 'Sports', 5, 921, 4.5, true, 400000, 2000, 3), + (21, 'Funky Farm Friends: Groovy Gardening', 900, '2023-02-05 00:00:00', 'Xbox One', 'Simulation', 21, 921, 4.3, true, 250000, 1300, 2), + (22, 'Cake Crusaders: Sugary Siege', 1400, '2021-01-25 00:00:00', 'PC', 'Strategy', 23, 902, 4.7, false, 180000, 900, 1), + (23, 'Ninja Narwhal: Aquatic Assassin', 1000, '2022-03-15 00:00:00', 'Nintendo Switch', 'Action', 23, 901, 4.2, true, 150000, 1000, 2); + +CREATE TABLE games.publishers ( + publisher_id int PRIMARY KEY, + publisher_name string +); + +INSERT INTO games.publishers (publisher_id, publisher_name) +VALUES + (1, 'Wacky Game Studios'), + (2, 'Silly Monkey Games'), + (3, 'Laughing Unicorn Interactive'), + (4, 'Crazy Cat Games'), + (5, 'Quirky Penguin Productions'), + (6, 'Absurd Antelope Studios'), + (7, 'Hilarious Hedgehog Games'), + (8, 'Goofy Giraffe Studios'), + (9, 'Whimsical Walrus Entertainment'), + (10, 'Zany Zebra Games'), + (11, 'Ridiculous Rabbit Studios'), + (12, 'Funny Fox Interactive'), + (13, 'Surreal Snake Games'), + (14, 'Bizarre Bat Studios'), + (15, 'Madcap Moose Productions'), + (16, 'Cuckoo Clock Games'), + (17, 'Lunatic Llama Studios'), + (18, 'Silly Goose Games'), + (19, 'Bonkers Beaver Interactive'), + (20, 'Witty Walrus Games'); + +CREATE TABLE games.developers ( + developer_id int, + developer_name string, + num_games_developed int +); + +INSERT INTO games.developers (developer_id, developer_name, num_games_developed) +VALUES + (928, 'CrazyCodr', 10), + (948, 'PixelPirate', 5), + (937, 'CodeNinja', 3), + (987, 'GameWizard', 8), + (902, 'ByteBender', 15), + (934, 'CodeJester', 4), + (902, 'MadGenius', 12), + (921, 'GameGuru', 9), + (901, 'ScriptMage', 6); + +CREATE SCHEMA accounting; +CREATE TABLE accounting.payment_type_table ( + id int, + payment_type_name string, + payment_type_classification string +); + +INSERT INTO accounting.payment_type_table (id, payment_type_name, payment_type_classification) +VALUES + (1, 'VISA', 'CARD'), + (2, 'MASTERCARD', 'CARD'); + + +CREATE TABLE accounting.revenue ( + payment_id int, + payment_amount float, + payment_type int, + customer_id int, + account_type string +); + +INSERT INTO accounting.revenue (payment_id, payment_amount, payment_type, customer_id, account_type) +VALUES + (1, 25.5, 1, 2, 'ACTIVE'), + (2, 12.5, 2, 2, 'INACTIVE'), + (3, 89, 1, 3, 'ACTIVE'), + (4, 1293.2, 2, 2, 'ACTIVE'), + (5, 23, 1, 4, 'INACTIVE'), + (6, 398.13, 2, 3, 'ACTIVE'), + (7, 239.7, 2, 4, 'ACTIVE'),; diff --git a/datajunction-server/tests/errors_test.py b/datajunction-server/tests/errors_test.py new file mode 100644 index 000000000..c187f6ca0 --- /dev/null +++ b/datajunction-server/tests/errors_test.py @@ -0,0 +1,46 @@ +""" +Tests errors. +""" + +from http import HTTPStatus + +from datajunction_server.errors import DJError, DJException, ErrorCode + + +def test_dj_exception() -> None: + """ + Test the base ``DJException``. + """ + exc = DJException() + assert exc.dbapi_exception == "Error" + assert exc.http_status_code == 500 + + exc = DJException(dbapi_exception="InternalError") + assert exc.dbapi_exception == "InternalError" + assert exc.http_status_code == 500 + + exc = DJException( + dbapi_exception="ProgrammingError", + http_status_code=HTTPStatus.BAD_REQUEST, + ) + assert exc.dbapi_exception == "ProgrammingError" + assert exc.http_status_code == HTTPStatus.BAD_REQUEST + + exc = DJException("Message") + assert str(exc) == "Message" + exc = DJException( + "Message", + errors=[ + DJError(message="Error 1", code=ErrorCode.UNKNOWN_ERROR), + DJError(message="Error 2", code=ErrorCode.UNKNOWN_ERROR), + ], + ) + assert ( + str(exc) + == """Message +The following errors happened: +- Error 1 (error code: 0) +- Error 2 (error code: 0)""" + ) + + assert DJException("Message") == DJException("Message") diff --git a/datajunction-server/tests/examples.py b/datajunction-server/tests/examples.py new file mode 100644 index 000000000..e470cac4a --- /dev/null +++ b/datajunction-server/tests/examples.py @@ -0,0 +1,3910 @@ +""" +Post requests for all example entities +""" + +from datajunction_server.database.column import Column +from datajunction_server.models.query import QueryWithResults +from datajunction_server.sql.parsing.types import ( + BinaryType, + BooleanType, + IntegerType, + StringType, + TimestampType, + FloatType, +) +from datajunction_server.typing import QueryState + +SERVICE_SETUP = ( # type: ignore + ( + "/catalogs/", + {"name": "draft"}, + ), + ( + "/engines/", + {"name": "spark", "version": "3.1.1", "dialect": "spark"}, + ), + ( + "/catalogs/default/engines/", + [{"name": "spark", "version": "3.1.1", "dialect": "spark"}], + ), + ( + "/engines/", + {"name": "druid", "version": "", "dialect": "druid"}, + ), + ( + "/catalogs/default/engines/", + [{"name": "druid", "version": "", "dialect": "druid"}], + ), + ( + "/catalogs/", + {"name": "public"}, + ), + ( + "/catalogs/", + {"name": "basic"}, + ), + ( + "/catalogs/basic/engines/", + [{"name": "spark", "version": "3.1.1", "dialect": "spark"}], + ), + ( + "/engines/", + {"name": "postgres", "version": "15.2"}, + ), + ( + "/catalogs/public/engines/", + [{"name": "postgres", "version": "15.2"}], + ), + ( # DJ must be primed with a "default" namespace + "/namespaces/default/", + {}, + ), + ( + "/namespaces/basic/", + {}, + ), +) + +ROADS = ( # type: ignore + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "municipality_id", "type": "string"}, + {"name": "hard_hat_id", "type": "int"}, + {"name": "order_date", "type": "timestamp"}, + {"name": "required_date", "type": "timestamp"}, + {"name": "dispatched_date", "type": "timestamp"}, + {"name": "dispatcher_id", "type": "int"}, + ], + "description": "All repair orders", + "mode": "published", + "name": "default.repair_orders", + "catalog": "default", + "schema_": "roads", + "table": "repair_orders", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "municipality_id", "type": "string"}, + {"name": "hard_hat_id", "type": "int"}, + {"name": "order_date", "type": "timestamp"}, + {"name": "required_date", "type": "timestamp"}, + {"name": "dispatched_date", "type": "timestamp"}, + {"name": "dispatcher_id", "type": "int"}, + ], + "description": "All repair orders (view)", + "mode": "published", + "name": "default.repair_orders_view", + "catalog": "default", + "schema_": "roads", + "table": "repair_orders_view", + "query": "CREATE OR REPLACE VIEW roads.repair_orders_view AS SELECT * FROM roads.repair_orders", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "repair_type_id", "type": "int"}, + {"name": "price", "type": "float"}, + {"name": "quantity", "type": "int"}, + {"name": "discount", "type": "float"}, + ], + "description": "Details on repair orders", + "mode": "published", + "name": "default.repair_order_details", + "catalog": "default", + "schema_": "roads", + "table": "repair_order_details", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_type_id", "type": "int"}, + {"name": "repair_type_name", "type": "string"}, + {"name": "contractor_id", "type": "int"}, + ], + "description": "Information on types of repairs", + "mode": "published", + "name": "default.repair_type", + "catalog": "default", + "schema_": "roads", + "table": "repair_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "contractor_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "contact_name", "type": "string"}, + {"name": "contact_title", "type": "string"}, + {"name": "address", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "state", "type": "string"}, + {"name": "postal_code", "type": "string"}, + {"name": "country", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on contractors", + "mode": "published", + "name": "default.contractors", + "catalog": "default", + "schema_": "roads", + "table": "contractors", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_id", "type": "string"}, + {"name": "municipality_type_id", "type": "string"}, + ], + "description": "Lookup table for municipality and municipality types", + "mode": "published", + "name": "default.municipality_municipality_type", + "catalog": "default", + "schema_": "roads", + "table": "municipality_municipality_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_type_id", "type": "string"}, + {"name": "municipality_type_desc", "type": "string"}, + ], + "description": "Information on municipality types", + "mode": "published", + "name": "default.municipality_type", + "catalog": "default", + "schema_": "roads", + "table": "municipality_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_id", "type": "string"}, + {"name": "contact_name", "type": "string"}, + {"name": "contact_title", "type": "string"}, + {"name": "local_region", "type": "string"}, + {"name": "phone", "type": "string"}, + {"name": "state_id", "type": "int"}, + ], + "description": "Information on municipalities", + "mode": "published", + "name": "default.municipality", + "catalog": "default", + "schema_": "roads", + "table": "municipality", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "dispatcher_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on dispatchers", + "mode": "published", + "name": "default.dispatchers", + "catalog": "default", + "schema_": "roads", + "table": "dispatchers", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "hard_hat_id", "type": "int"}, + {"name": "last_name", "type": "string"}, + {"name": "first_name", "type": "string"}, + {"name": "title", "type": "string"}, + {"name": "birth_date", "type": "timestamp"}, + {"name": "hire_date", "type": "timestamp"}, + {"name": "address", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "state", "type": "string"}, + {"name": "postal_code", "type": "string"}, + {"name": "country", "type": "string"}, + {"name": "manager", "type": "int"}, + {"name": "contractor_id", "type": "int"}, + ], + "description": "Information on employees", + "mode": "published", + "name": "default.hard_hats", + "catalog": "default", + "schema_": "roads", + "table": "hard_hats", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "hard_hat_id", "type": "int"}, + {"name": "state_id", "type": "string"}, + ], + "description": "Lookup table for employee's current state", + "mode": "published", + "name": "default.hard_hat_state", + "catalog": "default", + "schema_": "roads", + "table": "hard_hat_state", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "state_id", "type": "int"}, + {"name": "state_name", "type": "string"}, + {"name": "state_abbr", "type": "string"}, + {"name": "state_region", "type": "int"}, + ], + "description": "Information on different types of repairs", + "mode": "published", + "name": "default.us_states", + "catalog": "default", + "schema_": "roads", + "table": "us_states", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "us_region_id", "type": "int"}, + {"name": "us_region_description", "type": "string"}, + ], + "description": "Information on US regions", + "mode": "published", + "name": "default.us_region", + "catalog": "default", + "schema_": "roads", + "table": "us_region", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Repair order dimension", + "query": """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM default.repair_orders + """, + "mode": "published", + "name": "default.repair_order", + "primary_key": ["repair_order_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Contractor dimension", + "query": """ + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country, + phone + FROM default.contractors + """, + "mode": "published", + "name": "default.contractor", + "primary_key": ["contractor_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension", + "query": """ + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM default.hard_hats + """, + "mode": "published", + "name": "default.hard_hat", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension #2", + "query": """ + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM default.hard_hats + """, + "mode": "published", + "name": "default.hard_hat_2", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension (for deletion)", + "query": """ + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM default.hard_hats + """, + "mode": "published", + "name": "default.hard_hat_to_delete", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension", + "query": """ + SELECT + hh.hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id, + hhs.state_id AS state_id + FROM default.hard_hats hh + LEFT JOIN default.hard_hat_state hhs + ON hh.hard_hat_id = hhs.hard_hat_id + WHERE hh.state_id = 'NY' + """, + "mode": "published", + "name": "default.local_hard_hats", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension #1", + "query": """ + SELECT hh.hard_hat_id + FROM default.hard_hats hh + """, + "mode": "published", + "name": "default.local_hard_hats_1", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension #2", + "query": """ + SELECT hh.hard_hat_id + FROM default.hard_hats hh + """, + "mode": "published", + "name": "default.local_hard_hats_2", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "US state dimension", + "query": """ + SELECT + state_id, + state_name, + state_abbr AS state_short, + state_region + FROM default.us_states s + """, + "mode": "published", + "name": "default.us_state", + "primary_key": ["state_short"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Dispatcher dimension", + "query": """ + SELECT + dispatcher_id, + company_name, + phone + FROM default.dispatchers + """, + "mode": "published", + "name": "default.dispatcher", + "primary_key": ["dispatcher_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Municipality dimension", + "query": """ + SELECT + m.municipality_id AS municipality_id, + contact_name, + contact_title, + local_region, + state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM default.municipality AS m + LEFT JOIN default.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN default.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc + """, + "mode": "published", + "name": "default.municipality_dim", + "primary_key": ["municipality_id"], + }, + ), + ( + "/nodes/transform/", + { + "name": "default.regional_level_agg", + "description": "Regional-level aggregates", + "mode": "published", + "primary_key": [ + "us_region_id", + "state_name", + "order_year", + "order_month", + "order_day", + ], + "query": """ +WITH ro as (SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM default.repair_orders) + SELECT + usr.us_region_id, + us.state_name, + CONCAT(us.state_name, '-', usr.us_region_description) AS location_hierarchy, + EXTRACT(YEAR FROM ro.order_date) AS order_year, + EXTRACT(MONTH FROM ro.order_date) AS order_month, + EXTRACT(DAY FROM ro.order_date) AS order_day, + COUNT(DISTINCT CASE WHEN ro.dispatched_date IS NOT NULL THEN ro.repair_order_id ELSE NULL END) AS completed_repairs, + COUNT(DISTINCT ro.repair_order_id) AS total_repairs_dispatched, + SUM(rd.price * rd.quantity) AS total_amount_in_region, + AVG(rd.price * rd.quantity) AS avg_repair_amount_in_region, + -- ELEMENT_AT(ARRAY_SORT(COLLECT_LIST(STRUCT(COUNT(*) AS cnt, rt.repair_type_name AS repair_type_name)), (left, right) -> case when left.cnt < right.cnt then 1 when left.cnt > right.cnt then -1 else 0 end), 0).repair_type_name AS most_common_repair_type, + AVG(DATEDIFF(ro.dispatched_date, ro.order_date)) AS avg_dispatch_delay, + COUNT(DISTINCT c.contractor_id) AS unique_contractors +FROM ro +JOIN + default.municipality m ON ro.municipality_id = m.municipality_id +JOIN + default.us_states us ON m.state_id = us.state_id + AND AVG(rd.price * rd.quantity) > + (SELECT AVG(price * quantity) FROM default.repair_order_details WHERE repair_order_id = ro.repair_order_id) +JOIN + default.us_states us ON m.state_id = us.state_id +JOIN + default.us_region usr ON us.state_region = usr.us_region_id +JOIN + default.repair_order_details rd ON ro.repair_order_id = rd.repair_order_id +JOIN + default.repair_type rt ON rd.repair_type_id = rt.repair_type_id +JOIN + default.contractors c ON rt.contractor_id = c.contractor_id +GROUP BY + usr.us_region_id, + EXTRACT(YEAR FROM ro.order_date), + EXTRACT(MONTH FROM ro.order_date), + EXTRACT(DAY FROM ro.order_date)""", + }, + ), + ( + "/nodes/transform/", + { + "description": "National level aggregates", + "name": "default.national_level_agg", + "mode": "published", + "query": "SELECT SUM(rd.price * rd.quantity) AS total_amount_nationwide FROM default.repair_order_details rd", + }, + ), + ( + "/nodes/transform/", + { + "description": "Fact transform with all details on repair orders", + "name": "default.repair_orders_fact", + "display_name": "Repair Orders Fact", + "mode": "published", + "custom_metadata": {"foo": "bar"}, + "query": """SELECT + repair_orders.repair_order_id, + repair_orders.municipality_id, + repair_orders.hard_hat_id, + repair_orders.dispatcher_id, + repair_orders.order_date, + repair_orders.dispatched_date, + repair_orders.required_date, + repair_order_details.discount, + repair_order_details.price, + repair_order_details.quantity, + repair_order_details.repair_type_id, + repair_order_details.price * repair_order_details.quantity AS total_repair_cost, + repair_orders.dispatched_date - repair_orders.order_date AS time_to_dispatch, + repair_orders.dispatched_date - repair_orders.required_date AS dispatch_delay +FROM + default.repair_orders repair_orders +JOIN + default.repair_order_details repair_order_details +ON repair_orders.repair_order_id = repair_order_details.repair_order_id""", + }, + ), + ( + "/nodes/metric/", + { + "description": """For each US region (as defined in the us_region table), we want to calculate: + Regional Repair Efficiency = (Number of Completed Repairs / Total Repairs Dispatched) × + (Total Repair Amount in Region / Total Repair Amount Nationwide) × 100 + Here: + A "Completed Repair" is one where the dispatched_date is not null. + "Total Repair Amount in Region" is the total amount spent on repairs in a given region. + "Total Repair Amount Nationwide" is the total amount spent on all repairs nationwide.""", + "name": "default.regional_repair_efficiency", + "query": """SELECT + (SUM(rm.completed_repairs) * 1.0 / SUM(rm.total_repairs_dispatched)) * + (SUM(rm.total_amount_in_region) * 1.0 / SUM(na.total_amount_nationwide)) * 100 +FROM + default.regional_level_agg rm +CROSS JOIN + default.national_level_agg na""", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "description": "Number of repair orders", + "query": ("SELECT count(repair_order_id) FROM default.repair_orders_fact"), + "mode": "published", + "name": "default.num_repair_orders", + "metric_metadata": { + "direction": "higher_is_better", + "unit": "dollar", + }, + "custom_metadata": { + "foo": "bar", + }, + }, + ), + ( + "/nodes/metric/", + { + "description": "Average repair price", + "query": ( + "SELECT avg(repair_orders_fact.price) FROM default.repair_orders_fact repair_orders_fact" + ), + "mode": "published", + "name": "default.avg_repair_price", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair cost", + "query": "SELECT sum(total_repair_cost) FROM default.repair_orders_fact", + "mode": "published", + "name": "default.total_repair_cost", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average length of employment", + "query": ( + "SELECT avg(CAST(NOW() AS DATE) - hire_date) FROM default.hard_hat" + ), + "mode": "published", + "name": "default.avg_length_of_employment", + }, + ), + ( + "/nodes/metric/", + { + "name": "default.discounted_orders_rate", + "query": ( + """ + SELECT + cast(sum(if(discount > 0.0, 1, 0)) as double) / count(*) + AS default_DOT_discounted_orders_rate + FROM default.repair_orders_fact + """ + ), + "mode": "published", + "description": "Proportion of Discounted Orders", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair order discounts", + "query": ("SELECT sum(price * discount) FROM default.repair_orders_fact"), + "mode": "published", + "name": "default.total_repair_order_discounts", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average repair order discounts", + "query": ("SELECT avg(price * discount) FROM default.repair_orders_fact"), + "mode": "published", + "name": "default.avg_repair_order_discounts", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average time to dispatch a repair order", + "query": ( + "SELECT avg(cast(repair_orders_fact.time_to_dispatch as int)) " + "FROM default.repair_orders_fact repair_orders_fact" + ), + "mode": "published", + "display_name": "Avg Time To Dispatch", + "name": "default.avg_time_to_dispatch", + }, + ), + ( + "/nodes/metric/", + { + "description": "Approximate number of unique hard hats (technicians) who worked on repair orders", + "query": ( + "SELECT APPROX_COUNT_DISTINCT(hard_hat_id) " + "FROM default.repair_orders_fact" + ), + "mode": "published", + "display_name": "Unique Hard Hats (Approx)", + "name": "default.num_unique_hard_hats_approx", + }, + ), + ( + ("/nodes/default.repair_orders_fact/link"), + { + "dimension_node": "default.municipality_dim", + "join_type": "inner", + "join_on": ( + "default.repair_orders_fact.municipality_id = default.municipality_dim.municipality_id" + ), + }, + ), + ( + "/nodes/default.repair_orders_fact/link", + { + "dimension_node": "default.hard_hat", + "join_type": "inner", + "join_on": ( + "default.repair_orders_fact.hard_hat_id = default.hard_hat.hard_hat_id" + ), + }, + ), + ( + "/nodes/default.repair_orders_fact/link", + { + "dimension_node": "default.hard_hat_to_delete", + "join_type": "left", + "join_on": ( + "default.repair_orders_fact.hard_hat_id = default.hard_hat_to_delete.hard_hat_id" + ), + }, + ), + ( + "/nodes/default.repair_orders_fact/link", + { + "dimension_node": "default.dispatcher", + "join_type": "inner", + "join_on": ( + "default.repair_orders_fact.dispatcher_id = default.dispatcher.dispatcher_id" + ), + }, + ), + ( + "/nodes/default.repair_order_details/link", + { + "dimension_node": "default.repair_order", + "join_type": "inner", + "join_on": ( + "default.repair_order_details.repair_order_id = default.repair_order.repair_order_id" + ), + }, + ), + ( + "/nodes/default.repair_type/link", + { + "dimension_node": "default.contractor", + "join_type": "inner", + "join_on": ( + "default.repair_type.contractor_id = default.contractor.contractor_id" + ), + }, + ), + ( + "/nodes/default.repair_orders/link", + { + "dimension_node": "default.repair_order", + "join_type": "inner", + "join_on": ( + "default.repair_orders.repair_order_id = default.repair_order.repair_order_id" + ), + }, + ), + ( + "/nodes/default.repair_orders/link", + { + "dimension_node": "default.dispatcher", + "join_type": "inner", + "join_on": ( + "default.repair_orders.dispatcher_id = default.dispatcher.dispatcher_id" + ), + }, + ), + ( + "/nodes/default.contractors/link", + { + "dimension_node": "default.us_state", + "join_type": "inner", + "join_on": ("default.contractors.state = default.us_state.state_short"), + }, + ), + ( + "/nodes/default.hard_hat/link", + { + "dimension_node": "default.us_state", + "join_type": "inner", + "join_on": ("default.hard_hat.state = default.us_state.state_short"), + }, + ), + ( + "/nodes/default.repair_order_details/link", + { + "dimension_node": "default.repair_order", + "join_type": "inner", + "join_on": ( + "default.repair_order_details.repair_order_id = default.repair_order.repair_order_id" + ), + }, + ), + ( + "/nodes/default.repair_order/link", + { + "dimension_node": "default.dispatcher", + "join_type": "inner", + "join_on": ( + "default.repair_order.dispatcher_id = default.dispatcher.dispatcher_id" + ), + }, + ), + ( + "/nodes/default.repair_order/link", + { + "dimension_node": "default.hard_hat", + "join_type": "inner", + "join_on": ( + "default.repair_order.hard_hat_id = default.hard_hat.hard_hat_id" + ), + }, + ), + ( + "/nodes/default.repair_order/link", + { + "dimension_node": "default.hard_hat_to_delete", + "join_type": "left", + "join_on": ( + "default.repair_order.hard_hat_id = default.hard_hat_to_delete.hard_hat_id" + ), + }, + ), + ( + "/nodes/default.repair_order/link", + { + "dimension_node": "default.municipality_dim", + "join_type": "inner", + "join_on": ( + "default.repair_order.municipality_id = default.municipality_dim.municipality_id" + ), + }, + ), +) + +NAMESPACED_ROADS = ( # type: ignore + ( # foo.bar Namespaced copy of roads database example + "/namespaces/foo.bar/", + {}, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "municipality_id", "type": "string"}, + {"name": "hard_hat_id", "type": "int"}, + {"name": "order_date", "type": "timestamp"}, + {"name": "required_date", "type": "timestamp"}, + {"name": "dispatched_date", "type": "timestamp"}, + {"name": "dispatcher_id", "type": "int"}, + ], + "description": "All repair orders", + "mode": "published", + "name": "foo.bar.repair_orders", + "catalog": "default", + "schema_": "roads", + "table": "repair_orders", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_order_id", "type": "int"}, + {"name": "repair_type_id", "type": "int"}, + {"name": "price", "type": "float"}, + {"name": "quantity", "type": "int"}, + {"name": "discount", "type": "float"}, + ], + "description": "Details on repair orders", + "mode": "published", + "name": "foo.bar.repair_order_details", + "catalog": "default", + "schema_": "roads", + "table": "repair_order_details", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "repair_type_id", "type": "int"}, + {"name": "repair_type_name", "type": "string"}, + {"name": "contractor_id", "type": "int"}, + ], + "description": "Information on types of repairs", + "mode": "published", + "name": "foo.bar.repair_type", + "catalog": "default", + "schema_": "roads", + "table": "repair_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "contractor_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "contact_name", "type": "string"}, + {"name": "contact_title", "type": "string"}, + {"name": "address", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "state", "type": "string"}, + {"name": "postal_code", "type": "string"}, + {"name": "country", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on contractors", + "mode": "published", + "name": "foo.bar.contractors", + "catalog": "default", + "schema_": "roads", + "table": "contractors", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_id", "type": "string"}, + {"name": "municipality_type_id", "type": "string"}, + ], + "description": "Lookup table for municipality and municipality types", + "mode": "published", + "name": "foo.bar.municipality_municipality_type", + "catalog": "default", + "schema_": "roads", + "table": "municipality_municipality_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_type_id", "type": "string"}, + {"name": "municipality_type_desc", "type": "string"}, + ], + "description": "Information on municipality types", + "mode": "published", + "name": "foo.bar.municipality_type", + "catalog": "default", + "schema_": "roads", + "table": "municipality_type", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "municipality_id", "type": "string"}, + {"name": "contact_name", "type": "string"}, + {"name": "contact_title", "type": "string"}, + {"name": "local_region", "type": "string"}, + {"name": "phone", "type": "string"}, + {"name": "state_id", "type": "int"}, + ], + "description": "Information on municipalities", + "mode": "published", + "name": "foo.bar.municipality", + "catalog": "default", + "schema_": "roads", + "table": "municipality", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "dispatcher_id", "type": "int"}, + {"name": "company_name", "type": "string"}, + {"name": "phone", "type": "string"}, + ], + "description": "Information on dispatchers", + "mode": "published", + "name": "foo.bar.dispatchers", + "catalog": "default", + "schema_": "roads", + "table": "dispatchers", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "hard_hat_id", "type": "int"}, + {"name": "last_name", "type": "string"}, + {"name": "first_name", "type": "string"}, + {"name": "title", "type": "string"}, + {"name": "birth_date", "type": "timestamp"}, + {"name": "hire_date", "type": "timestamp"}, + {"name": "address", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "state", "type": "string"}, + {"name": "postal_code", "type": "string"}, + {"name": "country", "type": "string"}, + {"name": "manager", "type": "int"}, + {"name": "contractor_id", "type": "int"}, + ], + "description": "Information on employees", + "mode": "published", + "name": "foo.bar.hard_hats", + "catalog": "default", + "schema_": "roads", + "table": "hard_hats", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "hard_hat_id", "type": "int"}, + {"name": "state_id", "type": "string"}, + ], + "description": "Lookup table for employee's current state", + "mode": "published", + "name": "foo.bar.hard_hat_state", + "catalog": "default", + "schema_": "roads", + "table": "hard_hat_state", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "state_id", "type": "int"}, + {"name": "state_name", "type": "string"}, + {"name": "state_abbr", "type": "string"}, + {"name": "state_region", "type": "int"}, + ], + "description": "Information on different types of repairs", + "mode": "published", + "name": "foo.bar.us_states", + "catalog": "default", + "schema_": "roads", + "table": "us_states", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "us_region_id", "type": "int"}, + {"name": "us_region_description", "type": "string"}, + ], + "description": "Information on US regions", + "mode": "published", + "name": "foo.bar.us_region", + "catalog": "default", + "schema_": "roads", + "table": "us_region", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Repair order dimension", + "query": """ + SELECT + repair_order_id, + municipality_id, + hard_hat_id, + order_date, + required_date, + dispatched_date, + dispatcher_id + FROM foo.bar.repair_orders + """, + "mode": "published", + "name": "foo.bar.repair_order", + "primary_key": ["repair_order_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Contractor dimension", + "query": """ + SELECT + contractor_id, + company_name, + contact_name, + contact_title, + address, + city, + state, + postal_code, + country, + phone + FROM foo.bar.contractors + """, + "mode": "published", + "name": "foo.bar.contractor", + "primary_key": ["contractor_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension", + "query": """ + SELECT + hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id + FROM foo.bar.hard_hats + """, + "mode": "published", + "name": "foo.bar.hard_hat", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Hard hat dimension", + "query": """ + SELECT + hh.hard_hat_id, + last_name, + first_name, + title, + birth_date, + hire_date, + address, + city, + state, + postal_code, + country, + manager, + contractor_id, + hhs.state_id AS state_id + FROM foo.bar.hard_hats hh + LEFT JOIN foo.bar.hard_hat_state hhs + ON hh.hard_hat_id = hhs.hard_hat_id + WHERE hh.state_id = 'NY' + """, + "mode": "published", + "name": "foo.bar.local_hard_hats", + "primary_key": ["hard_hat_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "US state dimension", + "query": """ + SELECT + state_id, + state_name, + state_abbr, + state_region, + r.us_region_description AS state_region_description + FROM foo.bar.us_states s + LEFT JOIN foo.bar.us_region r + ON s.state_region = r.us_region_id + """, + "mode": "published", + "name": "foo.bar.us_state", + "primary_key": ["state_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Dispatcher dimension", + "query": """ + SELECT + dispatcher_id, + company_name, + phone + FROM foo.bar.dispatchers + """, + "mode": "published", + "name": "foo.bar.dispatcher", + "primary_key": ["dispatcher_id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Municipality dimension", + "query": """ + SELECT + m.municipality_id AS municipality_id, + contact_name, + contact_title, + local_region, + state_id, + mmt.municipality_type_id AS municipality_type_id, + mt.municipality_type_desc AS municipality_type_desc + FROM foo.bar.municipality AS m + LEFT JOIN foo.bar.municipality_municipality_type AS mmt + ON m.municipality_id = mmt.municipality_id + LEFT JOIN foo.bar.municipality_type AS mt + ON mmt.municipality_type_id = mt.municipality_type_desc + """, + "mode": "published", + "name": "foo.bar.municipality_dim", + "primary_key": ["municipality_id"], + }, + ), + ( + "/nodes/metric/", + { + "description": "Number of repair orders", + "query": ( + "SELECT count(repair_order_id) as foo_DOT_bar_DOT_num_repair_orders " + "FROM foo.bar.repair_orders" + ), + "mode": "published", + "name": "foo.bar.num_repair_orders", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average repair price", + "query": "SELECT avg(price) FROM foo.bar.repair_order_details", + "mode": "published", + "name": "foo.bar.avg_repair_price", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair cost", + "query": "SELECT sum(price) FROM foo.bar.repair_order_details", + "mode": "published", + "name": "foo.bar.total_repair_cost", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average length of employment", + "query": ("SELECT avg(NOW() - hire_date) FROM foo.bar.hard_hats"), + "mode": "published", + "name": "foo.bar.avg_length_of_employment", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair order discounts", + "query": ("SELECT sum(price * discount) FROM foo.bar.repair_order_details"), + "mode": "published", + "name": "foo.bar.total_repair_order_discounts", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total repair order discounts", + "query": ("SELECT avg(price * discount) FROM foo.bar.repair_order_details"), + "mode": "published", + "name": "foo.bar.avg_repair_order_discounts", + }, + ), + ( + "/nodes/metric/", + { + "description": "Average time to dispatch a repair order", + "query": ( + "SELECT avg(dispatched_date - order_date) FROM foo.bar.repair_orders" + ), + "mode": "published", + "name": "foo.bar.avg_time_to_dispatch", + }, + ), + ( + ( + "/nodes/foo.bar.repair_order_details/columns/repair_order_id/" + "?dimension=foo.bar.repair_order&dimension_column=repair_order_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_type/columns/contractor_id/" + "?dimension=foo.bar.contractor&dimension_column=contractor_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_orders/columns/repair_order_id/" + "?dimension=foo.bar.repair_order&dimension_column=repair_order_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_order_details/columns/repair_order_id/" + "?dimension=foo.bar.repair_order&dimension_column=repair_order_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_order/columns/dispatcher_id/" + "?dimension=foo.bar.dispatcher&dimension_column=dispatcher_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_order/columns/hard_hat_id/" + "?dimension=foo.bar.hard_hat&dimension_column=hard_hat_id" + ), + {}, + ), + ( + ( + "/nodes/foo.bar.repair_order/columns/municipality_id/" + "?dimension=foo.bar.municipality_dim&dimension_column=municipality_id" + ), + {}, + ), +) + +ACCOUNT_REVENUE = ( # type: ignore + ( # Accounts/Revenue examples begin + "/nodes/source/", + { + "columns": [ + {"name": "id", "type": "int"}, + {"name": "account_type_name", "type": "string"}, + {"name": "account_type_classification", "type": "int"}, + {"name": "preferred_payment_method", "type": "int"}, + ], + "description": "A source table for account type data", + "mode": "published", + "name": "default.account_type_table", + "catalog": "basic", + "schema_": "accounting", + "table": "account_type_table", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "id", "type": "int"}, + {"name": "payment_type_name", "type": "string"}, + {"name": "payment_type_classification", "type": "string"}, + ], + "description": "A source table for different types of payments", + "mode": "published", + "name": "default.payment_type_table", + "catalog": "basic", + "schema_": "accounting", + "table": "payment_type_table", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "payment_id", "type": "int"}, + {"name": "payment_amount", "type": "float"}, + {"name": "payment_type", "type": "int"}, + {"name": "customer_id", "type": "int"}, + {"name": "account_type", "type": "string"}, + ], + "description": "All repair orders", + "mode": "published", + "name": "default.revenue", + "catalog": "basic", + "schema_": "accounting", + "table": "revenue", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Payment type dimensions", + "query": ( + "SELECT id, payment_type_name, payment_type_classification " + "FROM default.payment_type_table" + ), + "mode": "published", + "name": "default.payment_type", + "primary_key": ["id"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Account type dimension", + "query": ( + "SELECT id, account_type_name, " + "account_type_classification FROM " + "default.account_type_table" + ), + "mode": "published", + "name": "default.account_type", + "primary_key": ["id"], + }, + ), + ( + "/nodes/transform/", + { + "query": ( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue WHERE payment_amount > 1000000" + ), + "description": "Only large revenue payments", + "mode": "published", + "name": "default.large_revenue_payments_only", + }, + ), + ( + "/nodes/transform/", + { + "query": ( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue WHERE payment_amount > 1000000" + ), + "description": "Only large revenue payments #1", + "mode": "published", + "name": "default.large_revenue_payments_only_1", + }, + ), + ( + "/nodes/transform/", + { + "query": ( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue WHERE payment_amount > 1000000" + ), + "description": "Only large revenue payments #2", + "mode": "published", + "name": "default.large_revenue_payments_only_2", + }, + ), + ( + "/nodes/transform/", + { + "query": ( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue WHERE payment_amount > 1000000" + ), + "description": "Only large revenue payments", + "mode": "published", + "name": "default.large_revenue_payments_only_custom", + "custom_metadata": {"foo": "bar"}, + }, + ), + ( + "/nodes/transform/", + { + "query": ( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue WHERE " + "large_revenue_payments_and_business_only > 1000000 " + "AND account_type='BUSINESS'" + ), + "description": "Only large revenue payments from business accounts", + "mode": "published", + "name": "default.large_revenue_payments_and_business_only", + }, + ), + ( + "/nodes/transform/", + { + "query": ( + "SELECT payment_id, payment_amount, customer_id, account_type " + "FROM default.revenue WHERE " + "large_revenue_payments_and_business_only > 1000000 " + "AND account_type='BUSINESS'" + ), + "description": "Only large revenue payments from business accounts 1", + "mode": "published", + "name": "default.large_revenue_payments_and_business_only_1", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total number of account types", + "query": "SELECT count(id) FROM default.account_type", + "mode": "published", + "name": "default.number_of_account_types", + }, + ), +) + +BASIC = ( # type: ignore + ( + "/namespaces/basic.source/", + {}, + ), + ( + "/namespaces/basic.transform/", + {}, + ), + ( + "/namespaces/basic.dimension/", + {}, + ), + ( + "/nodes/source/", + { + "name": "basic.source.users", + "description": "A user table", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "full_name", "type": "string"}, + {"name": "age", "type": "int"}, + { + "name": "country", + "type": "string", + "dimension": "basic.dimension.countries", + }, + {"name": "gender", "type": "string"}, + {"name": "preferred_language", "type": "string"}, + {"name": "secret_number", "type": "float"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "public", + "schema_": "basic", + "table": "dim_users", + }, + ), + ( + "/nodes/dimension/", + { + "description": "User dimension", + "query": ( + "SELECT id, full_name, age, country, gender, preferred_language, " + "secret_number, created_at, post_processing_timestamp " + "FROM basic.source.users" + ), + "mode": "published", + "name": "basic.dimension.users", + "primary_key": ["id"], + }, + ), + ( + "/nodes/source/", + { + "name": "basic.source.comments", + "description": "A fact table with comments", + "columns": [ + {"name": "id", "type": "int"}, + { + "name": "user_id", + "type": "int", + "dimension": "basic.dimension.users", + }, + {"name": "timestamp", "type": "timestamp"}, + {"name": "text", "type": "string"}, + {"name": "event_timestamp", "type": "timestamp"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "public", + "schema_": "basic", + "table": "comments", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Country dimension", + "query": "SELECT country, COUNT(1) AS user_cnt " + "FROM basic.source.users GROUP BY country", + "mode": "published", + "name": "basic.dimension.countries", + "primary_key": ["country"], + }, + ), + ( + "/nodes/transform/", + { + "description": "Country level agg table", + "query": ( + "SELECT country, COUNT(DISTINCT id) AS num_users " + "FROM basic.source.users GROUP BY 1" + ), + "mode": "published", + "name": "basic.transform.country_agg", + }, + ), + ( + "/nodes/metric/", + { + "description": "Number of comments", + "query": ("SELECT COUNT(1) FROM basic.source.comments"), + "mode": "published", + "name": "basic.num_comments", + }, + ), + ( + "/nodes/metric/", + { + "description": "Number of users.", + "type": "metric", + "query": ("SELECT SUM(1) FROM basic.dimension.users"), + "mode": "published", + "name": "basic.num_users", + }, + ), +) + +BASIC_IN_DIFFERENT_CATALOG = ( # type: ignore + ( + "/namespaces/different.basic/", + {}, + ), + ( + "/namespaces/different.basic.source/", + {}, + ), + ( + "/namespaces/different.basic.transform/", + {}, + ), + ( + "/namespaces/different.basic.dimension/", + {}, + ), + ( + "/nodes/source/", + { + "name": "different.basic.source.users", + "description": "A user table", + "columns": [ + {"name": "id", "type": "int"}, + {"name": "full_name", "type": "string"}, + {"name": "age", "type": "int"}, + {"name": "country", "type": "string"}, + {"name": "gender", "type": "string"}, + {"name": "preferred_language", "type": "string"}, + {"name": "secret_number", "type": "float"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "basic", + "table": "dim_users", + }, + ), + ( + "/nodes/dimension/", + { + "description": "User dimension", + "query": ( + "SELECT id, full_name, age, country, gender, preferred_language, " + "secret_number, created_at, post_processing_timestamp " + "FROM different.basic.source.users" + ), + "mode": "published", + "name": "different.basic.dimension.users", + "primary_key": ["id"], + }, + ), + ( + "/nodes/source/", + { + "name": "different.basic.source.comments", + "description": "A fact table with comments", + "columns": [ + {"name": "id", "type": "int"}, + { + "name": "user_id", + "type": "int", + "dimension": "different.basic.dimension.users", + }, + {"name": "timestamp", "type": "timestamp"}, + {"name": "text", "type": "string"}, + {"name": "event_timestamp", "type": "timestamp"}, + {"name": "created_at", "type": "timestamp"}, + {"name": "post_processing_timestamp", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "basic", + "table": "comments", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Country dimension", + "query": "SELECT country, COUNT(1) AS user_cnt " + "FROM different.basic.source.users GROUP BY country", + "mode": "published", + "name": "different.basic.dimension.countries", + "primary_key": ["country"], + }, + ), + ( + "/nodes/transform/", + { + "description": "Country level agg table", + "query": ( + "SELECT country, COUNT(DISTINCT id) AS num_users " + "FROM different.basic.source.users GROUP BY 1" + ), + "mode": "published", + "name": "different.basic.transform.country_agg", + }, + ), + ( + "/nodes/metric/", + { + "description": "Number of comments", + "query": ("SELECT COUNT(1) FROM different.basic.source.comments"), + "mode": "published", + "name": "different.basic.num_comments", + }, + ), + ( + "/nodes/metric/", + { + "description": "Number of users.", + "type": "metric", + "query": ( + "SELECT SUM(num_users) FROM different.basic.transform.country_agg" + ), + "mode": "published", + "name": "different.basic.num_users", + }, + ), +) + +EVENT = ( # type: ignore + ( # Event examples + "/nodes/source/", + { + "name": "default.event_source", + "description": "Events", + "columns": [ + {"name": "event_id", "type": "int"}, + {"name": "event_latency", "type": "int"}, + {"name": "device_id", "type": "int"}, + {"name": "country", "type": "string"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "logs", + "table": "log_events", + }, + ), + ( + "/nodes/transform/", + { + "name": "default.long_events", + "description": "High-Latency Events", + "query": "SELECT event_id, event_latency, device_id, country " + "FROM default.event_source WHERE event_latency > 1000000", + "mode": "published", + }, + ), + ( + "/nodes/dimension/", + { + "name": "default.country_dim", + "description": "Country Dimension", + "query": "SELECT country, COUNT(DISTINCT event_id) AS events_cnt " + "FROM default.event_source GROUP BY country", + "mode": "published", + "primary_key": ["country"], + }, + ), + ( + "/nodes/default.event_source/link", + { + "dimension_node": "default.country_dim", + "join_type": "left", + "join_on": ("default.event_source.country = default.country_dim.country"), + }, + ), + ( + "/nodes/default.long_events/link", + { + "dimension_node": "default.country_dim", + "join_type": "left", + "join_on": ("default.long_events.country = default.country_dim.country"), + }, + ), + ( + "/nodes/metric/", + { + "name": "default.device_ids_count", + "description": "Number of Distinct Devices", + "query": "SELECT COUNT(DISTINCT device_id) FROM default.event_source", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "default.long_events_distinct_countries", + "description": "Number of Distinct Countries for Long Events", + "query": "SELECT COUNT(DISTINCT country) FROM default.long_events", + "mode": "published", + }, + ), +) + +DBT = ( # type: ignore + ( + "/namespaces/dbt.source/", + {}, + ), + ( + "/namespaces/dbt.source.jaffle_shop/", + {}, + ), + ( + "/namespaces/dbt.transform/", + {}, + ), + ( + "/namespaces/dbt.dimension/", + {}, + ), + ( + "/namespaces/dbt.source.stripe/", + {}, + ), + ( # DBT examples + "/nodes/source/", + { + "columns": [ + {"name": "id", "type": "int"}, + {"name": "first_name", "type": "string"}, + {"name": "last_name", "type": "string"}, + ], + "description": "Customer table", + "mode": "published", + "name": "dbt.source.jaffle_shop.customers", + "catalog": "public", + "schema_": "jaffle_shop", + "table": "customers", + }, + ), + ( + "/nodes/dimension/", + { + "description": "User dimension", + "query": ( + "SELECT id, first_name, last_name FROM dbt.source.jaffle_shop.customers" + ), + "mode": "published", + "name": "dbt.dimension.customers", + "primary_key": ["id"], + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "id", "type": "int"}, + { + "name": "user_id", + "type": "int", + "dimension": "dbt.dimension.customers", + }, + {"name": "order_date", "type": "date"}, + {"name": "status", "type": "string"}, + {"name": "_etl_loaded_at", "type": "timestamp"}, + ], + "description": "Orders fact table", + "mode": "published", + "name": "dbt.source.jaffle_shop.orders", + "catalog": "public", + "schema_": "jaffle_shop", + "table": "orders", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "id", "type": "int"}, + {"name": "orderid", "type": "int"}, + {"name": "paymentmethod", "type": "string"}, + {"name": "status", "type": "string"}, + {"name": "amount", "type": "int"}, + {"name": "created", "type": "date"}, + {"name": "_batched_at", "type": "timestamp"}, + ], + "description": "Payments fact table.", + "mode": "published", + "name": "dbt.source.stripe.payments", + "catalog": "public", + "schema_": "stripe", + "table": "payments", + }, + ), + ( + "/nodes/transform/", + { + "query": ( + "SELECT c.id, " + " c.first_name, " + " c.last_name, " + " COUNT(1) AS order_cnt " + "FROM dbt.source.jaffle_shop.orders o " + "JOIN dbt.source.jaffle_shop.customers c ON o.user_id = c.id " + "GROUP BY c.id, " + " c.first_name, " + " c.last_name " + ), + "description": "Country level agg table", + "mode": "published", + "name": "dbt.transform.customer_agg", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "id", "type": "int"}, + {"name": "item_name", "type": "string"}, + {"name": "sold_count", "type": "int"}, + {"name": "price_per_unit", "type": "float"}, + {"name": "psp", "type": "string"}, + ], + "description": "A source table for sales", + "mode": "published", + "name": "default.sales", + "catalog": "default", + "schema_": "revenue", + "table": "sales", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Item dimension", + "query": ( + "SELECT item_name account_type_classification FROM default.sales" + ), + "mode": "published", + "name": "default.items", + "primary_key": ["account_type_classification"], + }, + ), + ( + "/nodes/metric/", + { + "description": "Total units sold", + "query": "SELECT SUM(sold_count) as default_DOT_items_sold_count FROM default.sales", + "mode": "published", + "name": "default.items_sold_count", + }, + ), + ( + "/nodes/metric/", + { + "description": "Total profit", + "query": "SELECT SUM(sold_count * price_per_unit) FROM default.sales", + "mode": "published", + "name": "default.total_profit", + }, + ), + ( + "/nodes/dbt.source.jaffle_shop.orders/link", + { + "dimension_node": "dbt.dimension.customers", + "join_type": "inner", + "join_on": ( + "dbt.source.jaffle_shop.orders.user_id = dbt.dimension.customers.id" + ), + }, + ), +) + +# lateral view explode/cross join unnest examples +LATERAL_VIEW = ( # type: ignore + ( + "/nodes/source/", + { + "columns": [ + {"name": "id", "type": "int"}, + {"name": "painter", "type": "string"}, + { + "name": "colors", + "type": "map", + }, + ], + "description": "Murals", + "mode": "published", + "name": "basic.murals", + "catalog": "public", + "schema_": "basic", + "table": "murals", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "color_id", "type": "int"}, + {"name": "color_name", "type": "string"}, + { + "name": "opacity", + "type": "float", + }, + { + "name": "luminosity", + "type": "float", + }, + { + "name": "garishness", + "type": "float", + }, + ], + "description": "Patch", + "mode": "published", + "name": "basic.patches", + "catalog": "public", + "schema_": "basic", + "table": "patches", + }, + ), + ( + "/nodes/transform/", + { + "query": """ + SELECT + cast(color_id as string) color_id, + color_name, + opacity, + luminosity, + garishness + FROM basic.patches + """, + "description": "Corrected patches", + "mode": "published", + "name": "basic.corrected_patches", + }, + ), + ( + "/nodes/dimension/", + { + "query": """ + SELECT + id AS mural_id, + t.color_id, + t.color_name color_name + FROM + ( + select + id, + colors + from basic.murals + ) murals + CROSS JOIN UNNEST(colors) AS t(color_id, color_name) + """, + "description": "Mural paint colors", + "mode": "published", + "name": "basic.paint_colors_trino", + "primary_key": ["color_id"], + }, + ), + ( + "/nodes/dimension/", + { + "query": """ + SELECT + id AS mural_id, + color_id, + color_name + FROM + ( + select + id, + EXPLODE(colors) AS (color_id, color_name) + from basic.murals + ) + """, + "description": "Mural paint colors", + "mode": "published", + "name": "basic.paint_colors_spark", + "primary_key": ["color_id"], + }, + ), + ( + "/nodes/metric/", + { + "query": """ + SELECT AVG(luminosity) FROM basic.corrected_patches + """, + "description": "Average luminosity of color patch", + "mode": "published", + "name": "basic.avg_luminosity_patches", + }, + ), +) + +COMPLEX_DIMENSION_LINK = ( + ( + "/nodes/source/", + { + "columns": [ + {"name": "user_id", "type": "int"}, + {"name": "event_start_date", "type": "int"}, + {"name": "event_end_date", "type": "int"}, + {"name": "elapsed_secs", "type": "int"}, + {"name": "user_registration_country", "type": "string"}, + ], + "description": "Events table", + "mode": "published", + "name": "default.events_table", + "catalog": "default", + "schema_": "examples", + "table": "events", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "user_id", "type": "int"}, + {"name": "snapshot_date", "type": "int"}, + {"name": "registration_country", "type": "string"}, + {"name": "residence_country", "type": "string"}, + {"name": "account_type", "type": "string"}, + ], + "description": "Users table", + "mode": "published", + "name": "default.users_table", + "catalog": "default", + "schema_": "examples", + "table": "users", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "country_code", "type": "string"}, + {"name": "name", "type": "string"}, + {"name": "population", "type": "int"}, + ], + "description": "Countries table", + "mode": "published", + "name": "default.countries_table", + "catalog": "default", + "schema_": "examples", + "table": "countries", + }, + ), + ( + "/nodes/transform/", + { + "description": "Events fact", + "query": """ + SELECT + user_id, + event_start_date, + event_end_date, + elapsed_secs, + user_registration_country + FROM default.events_table + """, + "mode": "published", + "name": "default.events", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Users", + "query": """ + SELECT + user_id, + snapshot_date, + registration_country, + residence_country, + account_type + FROM default.users_table + """, + "mode": "published", + "name": "default.users", + "primary_key": ["user_id", "snapshot_date"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Countries", + "query": """ + SELECT + country_code, + name, + population + FROM default.countries_table + """, + "mode": "published", + "name": "default.countries", + "primary_key": ["country_code"], + }, + ), + ( + "/nodes/metric/", + { + "description": "Elapsed Time in Seconds", + "query": "SELECT SUM(elapsed_secs) FROM default.events", + "mode": "published", + "name": "default.elapsed_secs", + }, + ), +) + +DIMENSION_LINK = ( # type: ignore + ( + "/nodes/source/", + { + "columns": [ + {"name": "dateint", "type": "int"}, + {"name": "month", "type": "int"}, + {"name": "year", "type": "int"}, + {"name": "day", "type": "int"}, + ], + "description": "Date table", + "mode": "published", + "name": "default.date", + "catalog": "default", + "schema_": "examples", + "table": "date", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "country_code", "type": "string"}, + {"name": "name", "type": "string"}, + {"name": "formation_date", "type": "int"}, + {"name": "last_election_date", "type": "int"}, + ], + "description": "Countries table", + "mode": "published", + "name": "default.countries", + "catalog": "default", + "schema_": "examples", + "table": "countries", + }, + ), + ( + "/nodes/source/", + { + "columns": [ + {"name": "user_id", "type": "int"}, + {"name": "birth_country", "type": "string"}, + {"name": "birth_date", "type": "int"}, + {"name": "residence_country", "type": "string"}, + {"name": "age", "type": "int"}, + ], + "description": "Users table", + "mode": "published", + "name": "default.users", + "catalog": "default", + "schema_": "examples", + "table": "users", + }, + ), + ( + "/nodes/dimension/", + { + "description": "Date dimension", + "query": """ + SELECT + dateint, + month, + year, + day + FROM default.date + """, + "mode": "published", + "name": "default.date_dim", + "primary_key": ["dateint"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "Country dimension", + "query": """ + SELECT + country_code, + name, + formation_date, + last_election_date + FROM default.countries + """, + "mode": "published", + "name": "default.special_country_dim", + "primary_key": ["country_code"], + }, + ), + ( + "/nodes/dimension/", + { + "description": "User dimension", + "query": """ + SELECT + user_id, + birth_country, + residence_country, + age, + birth_date + FROM default.users + """, + "mode": "published", + "name": "default.user_dim", + "primary_key": ["user_id"], + }, + ), + ( + "/nodes/metric/", + { + "description": "Average User Age", + "query": """ + SELECT + AVG(age) + FROM default.user_dim + """, + "mode": "published", + "name": "default.avg_user_age", + }, + ), + ( + "/nodes/default.user_dim/link", + { + "dimension_node": "default.special_country_dim", + "join_type": "left", + "join_on": ( + "default.user_dim.birth_country = default.special_country_dim.country_code" + ), + "role": "birth_country", + }, + ), + ( + "/nodes/default.user_dim/link", + { + "dimension_node": "default.special_country_dim", + "join_type": "left", + "join_on": ( + "default.user_dim.residence_country = default.special_country_dim.country_code" + ), + "role": "residence_country", + }, + ), + ( + "/nodes/default.special_country_dim/link", + { + "dimension_node": "default.date_dim", + "join_type": "left", + "join_on": ( + "default.special_country_dim.formation_date = default.date_dim.dateint" + ), + "role": "formation_date", + }, + ), + ( + "/nodes/default.special_country_dim/link", + { + "dimension_node": "default.date_dim", + "join_type": "left", + "join_on": ( + "default.special_country_dim.last_election_date = default.date_dim.dateint" + ), + "role": "last_election_date", + }, + ), +) + +# ============================================================================= +# SIMPLE_HLL - Minimal example for testing HLL/APPROX_COUNT_DISTINCT +# ============================================================================= +# A simple events table with user_id and category for testing approximate +# distinct count metrics. +# ============================================================================= +SIMPLE_HLL = ( # type: ignore + ( + "/namespaces/hll/", + {}, + ), + ( + "/nodes/source/", + { + "name": "hll.events", + "description": "Simple events table for HLL testing", + "columns": [ + {"name": "event_id", "type": "int"}, + {"name": "user_id", "type": "int"}, + {"name": "category", "type": "string"}, + {"name": "event_time", "type": "timestamp"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "hll", + "table": "events", + }, + ), + ( + "/nodes/dimension/", + { + "name": "hll.category_dim", + "description": "Category dimension", + "query": "SELECT DISTINCT category AS category FROM hll.events", + "mode": "published", + "primary_key": ["category"], + }, + ), + ( + "/nodes/metric/", + { + "name": "hll.unique_users", + "description": "Approximate unique user count using HLL", + "query": "SELECT APPROX_COUNT_DISTINCT(user_id) FROM hll.events", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "hll.total_events", + "description": "Total event count (for comparison)", + "query": "SELECT COUNT(event_id) FROM hll.events", + "mode": "published", + }, + ), + # Link the dimension to the source node + ( + "/nodes/hll.events/link", + { + "dimension_node": "hll.category_dim", + "join_type": "left", + "join_on": "hll.events.category = hll.category_dim.category", + }, + ), +) + +# ============================================================================= +# DERIVED_METRICS - Example derived metrics that reference other metrics +# ============================================================================= +# These metrics demonstrate derived metric capabilities where a metric +# references another metric node rather than a transform/source directly. +# +# This example set tests: +# 1. Same-parent derived metrics (ratio of metrics from same fact) +# 2. Cross-fact derived metrics (ratio of metrics from different facts with shared dims) +# 3. Period-over-period metrics (WoW, MoM using LAG on base metric) +# 4. Failure case: cross-fact with NO shared dimensions +# +# Schema: +# - orders_source: order_id, amount, customer_id, order_date +# - events_source: event_id, page_views, customer_id, event_date +# - inventory_source: inventory_id, quantity, warehouse_id, inventory_date +# - dates_source: date_id, date_value, week, month, year +# - customers_source: customer_id, name, email +# - warehouses_source: warehouse_id, name, location +# +# Dimensions: +# - default.derived_date (shared: orders, events) +# - default.customer (shared: orders, events) +# - default.warehouse (only: inventory - NO overlap with orders/events) +# +# Base Metrics: +# - default.dm_revenue (orders_source) -> dims: derived_date, customer +# - default.dm_orders (orders_source) -> dims: derived_date, customer +# - default.dm_page_views (events_source) -> dims: derived_date, customer +# - default.dm_total_inventory (inventory_source) -> dims: warehouse only +# +# Derived Metrics: +# - default.dm_revenue_per_order (same parent: orders) +# - default.dm_revenue_per_page_view (cross-fact: orders + events, shared dims) +# - default.dm_wow_revenue_change (period-over-period) +# - default.dm_mom_revenue_change (period-over-period) +# ============================================================================= +DERIVED_METRICS = ( # type: ignore + # ========================================================================= + # Source Nodes + # ========================================================================= + ( + "/nodes/source/", + { + "name": "default.orders_source", + "description": "Orders fact table", + "columns": [ + {"name": "order_id", "type": "int"}, + {"name": "amount", "type": "float"}, + {"name": "customer_id", "type": "int"}, + {"name": "order_date", "type": "int"}, # FK to dates_source.date_id + ], + "mode": "published", + "catalog": "default", + "schema_": "derived", + "table": "orders", + }, + ), + ( + "/nodes/source/", + { + "name": "default.events_source", + "description": "Events fact table", + "columns": [ + {"name": "event_id", "type": "int"}, + {"name": "page_views", "type": "int"}, + {"name": "customer_id", "type": "int"}, + {"name": "event_date", "type": "int"}, # FK to dates_source.date_id + ], + "mode": "published", + "catalog": "default", + "schema_": "derived", + "table": "events", + }, + ), + ( + "/nodes/source/", + { + "name": "default.inventory_source", + "description": "Inventory fact table (no shared dimensions with orders/events)", + "columns": [ + {"name": "inventory_id", "type": "int"}, + {"name": "quantity", "type": "int"}, + {"name": "warehouse_id", "type": "int"}, + {"name": "inventory_date", "type": "int"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "derived", + "table": "inventory", + }, + ), + ( + "/nodes/source/", + { + "name": "default.dates_source", + "description": "Date dimension source", + "columns": [ + {"name": "date_id", "type": "int"}, + {"name": "date_value", "type": "timestamp"}, + {"name": "week", "type": "int"}, + {"name": "month", "type": "int"}, + {"name": "year", "type": "int"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "derived", + "table": "dates", + }, + ), + ( + "/nodes/source/", + { + "name": "default.customers_source", + "description": "Customer dimension source", + "columns": [ + {"name": "customer_id", "type": "int"}, + {"name": "name", "type": "string"}, + {"name": "email", "type": "string"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "derived", + "table": "customers", + }, + ), + ( + "/nodes/source/", + { + "name": "default.warehouses_source", + "description": "Warehouse dimension source", + "columns": [ + {"name": "warehouse_id", "type": "int"}, + {"name": "name", "type": "string"}, + {"name": "location", "type": "string"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "derived", + "table": "warehouses", + }, + ), + # ========================================================================= + # Dimension Nodes + # ========================================================================= + ( + "/nodes/dimension/", + { + "name": "default.derived_date", + "description": "Date dimension", + "query": """ + SELECT + date_id, + date_value, + week, + month, + year + FROM default.dates_source + """, + "mode": "published", + "primary_key": ["date_id"], + }, + ), + ( + "/nodes/dimension/", + { + "name": "default.customer", + "description": "Customer dimension", + "query": """ + SELECT + customer_id, + name, + email + FROM default.customers_source + """, + "mode": "published", + "primary_key": ["customer_id"], + }, + ), + ( + "/nodes/dimension/", + { + "name": "default.warehouse", + "description": "Warehouse dimension (NOT shared with orders/events)", + "query": """ + SELECT + warehouse_id, + name, + location + FROM default.warehouses_source + """, + "mode": "published", + "primary_key": ["warehouse_id"], + }, + ), + # ========================================================================= + # Dimension Links - Connect facts to shared dimensions + # ========================================================================= + # orders_source -> date (via order_date) + ( + "/nodes/default.orders_source/link", + { + "dimension_node": "default.derived_date", + "join_type": "left", + "join_on": "default.orders_source.order_date = default.derived_date.date_id", + }, + ), + # orders_source -> customer (via customer_id) + ( + "/nodes/default.orders_source/link", + { + "dimension_node": "default.customer", + "join_type": "left", + "join_on": "default.orders_source.customer_id = default.customer.customer_id", + }, + ), + # events_source -> date (via event_date) + ( + "/nodes/default.events_source/link", + { + "dimension_node": "default.derived_date", + "join_type": "left", + "join_on": "default.events_source.event_date = default.derived_date.date_id", + }, + ), + # events_source -> customer (via customer_id) + ( + "/nodes/default.events_source/link", + { + "dimension_node": "default.customer", + "join_type": "left", + "join_on": "default.events_source.customer_id = default.customer.customer_id", + }, + ), + # inventory_source -> warehouse (via warehouse_id) - NO overlap with orders/events dims + ( + "/nodes/default.inventory_source/link", + { + "dimension_node": "default.warehouse", + "join_type": "left", + "join_on": "default.inventory_source.warehouse_id = default.warehouse.warehouse_id", + }, + ), + # ========================================================================= + # Base Metrics + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "default.dm_revenue", + "description": "Total revenue from orders", + "query": "SELECT SUM(amount) FROM default.orders_source", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "default.dm_orders", + "description": "Count of orders", + "query": "SELECT COUNT(*) FROM default.orders_source", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "default.dm_page_views", + "description": "Total page views from events", + "query": "SELECT SUM(page_views) FROM default.events_source", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "default.dm_total_inventory", + "description": "Total inventory quantity (warehouse-only dimension)", + "query": "SELECT SUM(quantity) FROM default.inventory_source", + "mode": "published", + }, + ), + # ========================================================================= + # Derived Metrics - Same Parent (orders_source) + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "default.dm_revenue_per_order", + "description": "Revenue per order (same parent ratio)", + "query": "SELECT default.dm_revenue / NULLIF(default.dm_orders, 0)", + "mode": "published", + }, + ), + # ========================================================================= + # Derived Metrics - Cross-Fact with Shared Dimensions (orders + events) + # Available dimensions = intersection = {date, customer} + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "default.dm_revenue_per_page_view", + "description": "Revenue per page view (cross-fact ratio with shared dimensions)", + "query": "SELECT default.dm_revenue / NULLIF(default.dm_page_views, 0)", + "mode": "published", + }, + ), + # ========================================================================= + # Derived Metrics - Period-over-Period + # Same base metric (default.dm_revenue), different ORDER BY dimensions + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "default.dm_wow_revenue_change", + "description": "Week-over-week revenue change (%)", + "query": """ + SELECT + (default.dm_revenue - LAG(default.dm_revenue, 1) OVER (ORDER BY default.derived_date.week)) + / NULLIF(LAG(default.dm_revenue, 1) OVER (ORDER BY default.derived_date.week), 0) * 100 + """, + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "default.dm_mom_revenue_change", + "description": "Month-over-month revenue change (%)", + "query": """ + SELECT + (default.dm_revenue - LAG(default.dm_revenue, 1) OVER (ORDER BY default.derived_date.month)) + / NULLIF(LAG(default.dm_revenue, 1) OVER (ORDER BY default.derived_date.month), 0) * 100 + """, + "mode": "published", + }, + ), +) + +# ============================================================================= +# BUILD_V3 - Comprehensive test model for V3 SQL generation +# ============================================================================= +# This example tests: +# - Multi-hop dimension traversal with roles +# - Same dimension reachable via different paths (from/to/customer locations) +# - Dimension hierarchies (date: day->week->month->quarter->year, +# location: postal_code->city->region->country) +# - Cross-fact derived metrics (orders + page_views) +# - Period-over-period metrics (window functions) +# - Ratio metrics (same fact) +# - Multiple aggregability levels (FULL, LIMITED, NONE) +# ============================================================================= +BUILD_V3 = ( # type: ignore + # ========================================================================= + # Namespace Setup + # ========================================================================= + ( + "/namespaces/v3/", + {}, + ), + # ========================================================================= + # Source Nodes - Raw Data Tables + # ========================================================================= + # Orders header table + ( + "/nodes/source/", + { + "name": "v3.src_orders", + "description": "Order headers with customer and shipping info", + "columns": [ + {"name": "order_id", "type": "int"}, + {"name": "customer_id", "type": "int"}, + {"name": "order_date", "type": "int"}, # FK to dates + {"name": "from_location_id", "type": "int"}, # warehouse/origin + {"name": "to_location_id", "type": "int"}, # delivery destination + {"name": "status", "type": "string"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "v3", + "table": "orders", + }, + ), + # Order line items + ( + "/nodes/source/", + { + "name": "v3.src_order_items", + "description": "Order line items with product and pricing", + "columns": [ + {"name": "order_id", "type": "int"}, + {"name": "line_number", "type": "int"}, + {"name": "product_id", "type": "int"}, + {"name": "quantity", "type": "int"}, + {"name": "unit_price", "type": "float"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "v3", + "table": "order_items", + }, + ), + # Page views (second fact for cross-fact testing) + ( + "/nodes/source/", + { + "name": "v3.src_page_views", + "description": "Web page view events", + "columns": [ + {"name": "view_id", "type": "int"}, + {"name": "session_id", "type": "string"}, + {"name": "customer_id", "type": "int"}, + {"name": "page_date", "type": "int"}, # FK to dates + {"name": "page_type", "type": "string"}, + {"name": "product_id", "type": "int"}, # nullable, for product pages + ], + "mode": "published", + "catalog": "default", + "schema_": "v3", + "table": "page_views", + }, + ), + # Customers dimension source + ( + "/nodes/source/", + { + "name": "v3.src_customers", + "description": "Customer master data", + "columns": [ + {"name": "customer_id", "type": "int"}, + {"name": "name", "type": "string"}, + {"name": "email", "type": "string"}, + {"name": "registration_date", "type": "int"}, # FK to dates + {"name": "location_id", "type": "int"}, # customer's home location + ], + "mode": "published", + "catalog": "default", + "schema_": "v3", + "table": "customers", + }, + ), + # Products dimension source + ( + "/nodes/source/", + { + "name": "v3.src_products", + "description": "Product catalog", + "columns": [ + {"name": "product_id", "type": "int"}, + {"name": "name", "type": "string"}, + {"name": "category", "type": "string"}, + {"name": "subcategory", "type": "string"}, + {"name": "price", "type": "float"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "v3", + "table": "products", + }, + ), + # Date dimension source (with hierarchy columns) + ( + "/nodes/source/", + { + "name": "v3.src_dates", + "description": "Date dimension with hierarchy levels", + "columns": [ + {"name": "date_id", "type": "int"}, + {"name": "date_value", "type": "timestamp"}, + {"name": "day_of_week", "type": "int"}, + {"name": "week", "type": "int"}, + {"name": "month", "type": "int"}, + {"name": "quarter", "type": "int"}, + {"name": "year", "type": "int"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "v3", + "table": "dates", + }, + ), + # Location dimension source (with hierarchy columns) + ( + "/nodes/source/", + { + "name": "v3.src_locations", + "description": "Location dimension with geographic hierarchy", + "columns": [ + {"name": "location_id", "type": "int"}, + {"name": "postal_code", "type": "string"}, + {"name": "city", "type": "string"}, + {"name": "region", "type": "string"}, + {"name": "country", "type": "string"}, + ], + "mode": "published", + "catalog": "default", + "schema_": "v3", + "table": "locations", + }, + ), + # ========================================================================= + # Transform Nodes - Semantic Unification + # ========================================================================= + # order_details: Joins orders + order_items at line item grain + # This is a semantic unification - treating orders and their items as one concept + ( + "/nodes/transform/", + { + "name": "v3.order_details", + "description": "Order line items with order header info (semantic unification)", + "query": """ + SELECT + o.order_id, + oi.line_number, + o.customer_id, + o.order_date, + o.from_location_id, + o.to_location_id, + o.status, + oi.product_id, + oi.quantity, + oi.unit_price, + oi.quantity * oi.unit_price AS line_total + FROM v3.src_orders o + JOIN v3.src_order_items oi ON o.order_id = oi.order_id + """, + "mode": "published", + "primary_key": ["order_id", "line_number"], + }, + ), + # page_views_enriched: Simple passthrough with computed column + ( + "/nodes/transform/", + { + "name": "v3.page_views_enriched", + "description": "Page views with computed flags", + "query": """ + SELECT + view_id, + session_id, + customer_id, + page_date, + page_type, + product_id, + CASE WHEN page_type = 'product' THEN 1 ELSE 0 END AS is_product_view, + CASE WHEN page_type = 'checkout' THEN 1 ELSE 0 END AS is_checkout_view + FROM v3.src_page_views + """, + "mode": "published", + "primary_key": ["view_id"], + }, + ), + # ========================================================================= + # Dimension Nodes + # ========================================================================= + ( + "/nodes/dimension/", + { + "name": "v3.customer", + "description": "Customer dimension", + "query": """ + SELECT + customer_id, + name, + email, + registration_date, + location_id + FROM v3.src_customers + """, + "mode": "published", + "primary_key": ["customer_id"], + }, + ), + ( + "/nodes/dimension/", + { + "name": "v3.product", + "description": "Product dimension with category hierarchy", + "query": """ + SELECT + product_id, + name, + category, + subcategory, + price + FROM v3.src_products + """, + "mode": "published", + "primary_key": ["product_id"], + }, + ), + ( + "/nodes/dimension/", + { + "name": "v3.date", + "description": "Date dimension with time hierarchy (day->week->month->quarter->year)", + "query": """ + SELECT + date_id, + date_value, + day_of_week, + week, + month, + quarter, + year + FROM v3.src_dates + """, + "mode": "published", + "primary_key": ["date_id"], + }, + ), + ( + "/nodes/dimension/", + { + "name": "v3.location", + "description": "Location dimension with geographic hierarchy (postal_code->city->region->country)", + "query": """ + SELECT + location_id, + postal_code, + city, + region, + country + FROM v3.src_locations + """, + "mode": "published", + "primary_key": ["location_id"], + }, + ), + # ========================================================================= + # Dimension Links - Building the Dimension Graph + # ========================================================================= + # --- order_details links --- + # order_details -> customer (direct) + ( + "/nodes/v3.order_details/link", + { + "dimension_node": "v3.customer", + "join_type": "left", + "join_on": "v3.order_details.customer_id = v3.customer.customer_id", + "role": "customer", + }, + ), + # order_details -> date (via order_date) - role: order + ( + "/nodes/v3.order_details/link", + { + "dimension_node": "v3.date", + "join_type": "left", + "join_on": "v3.order_details.order_date = v3.date.date_id", + "role": "order", + }, + ), + # order_details -> location (via from_location_id) - role: from + ( + "/nodes/v3.order_details/link", + { + "dimension_node": "v3.location", + "join_type": "left", + "join_on": "v3.order_details.from_location_id = v3.location.location_id", + "role": "from", + }, + ), + # order_details -> location (via to_location_id) - role: to + ( + "/nodes/v3.order_details/link", + { + "dimension_node": "v3.location", + "join_type": "left", + "join_on": "v3.order_details.to_location_id = v3.location.location_id", + "role": "to", + }, + ), + # order_details -> product (direct) + ( + "/nodes/v3.order_details/link", + { + "dimension_node": "v3.product", + "join_type": "left", + "join_on": "v3.order_details.product_id = v3.product.product_id", + }, + ), + # --- customer dimension links (for multi-hop traversal) --- + # customer -> date (via registration_date) - role: registration + ( + "/nodes/v3.customer/link", + { + "dimension_node": "v3.date", + "join_type": "left", + "join_on": "v3.customer.registration_date = v3.date.date_id", + "role": "registration", + "join_cardinality": "many_to_one", + }, + ), + # customer -> location (via location_id) - role: home + ( + "/nodes/v3.customer/link", + { + "dimension_node": "v3.location", + "join_type": "left", + "join_on": "v3.customer.location_id = v3.location.location_id", + "role": "home", + "join_cardinality": "many_to_one", + }, + ), + # --- page_views_enriched links --- + # page_views -> customer + ( + "/nodes/v3.page_views_enriched/link", + { + "dimension_node": "v3.customer", + "join_type": "left", + "join_on": "v3.page_views_enriched.customer_id = v3.customer.customer_id", + "role": "customer", + }, + ), + # page_views -> date (via page_date) - role: page + ( + "/nodes/v3.page_views_enriched/link", + { + "dimension_node": "v3.date", + "join_type": "left", + "join_on": "v3.page_views_enriched.page_date = v3.date.date_id", + "role": "page", + }, + ), + # page_views -> product (for product page views) + ( + "/nodes/v3.page_views_enriched/link", + { + "dimension_node": "v3.product", + "join_type": "left", + "join_on": "v3.page_views_enriched.product_id = v3.product.product_id", + }, + ), + # ========================================================================= + # Base Metrics - On order_details + # ========================================================================= + # Fully aggregatable metrics (SUM) + ( + "/nodes/metric/", + { + "name": "v3.total_revenue", + "description": "Total revenue from order line items (fully aggregatable)", + "query": "SELECT SUM(line_total) FROM v3.order_details", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.total_quantity", + "description": "Total quantity sold (fully aggregatable)", + "query": "SELECT SUM(quantity) FROM v3.order_details", + "mode": "published", + }, + ), + # Limited aggregability metrics (COUNT DISTINCT) + ( + "/nodes/metric/", + { + "name": "v3.order_count", + "description": "Count of distinct orders (limited aggregability)", + "query": "SELECT COUNT(DISTINCT order_id) FROM v3.order_details", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.avg_unit_price", + "description": "Average unit price - decomposes into SUM and COUNT", + "query": "SELECT AVG(unit_price) FROM v3.order_details", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.total_unit_price", + "description": "Sum of unit prices - shares SUM(unit_price) component with avg_unit_price", + "query": "SELECT SUM(unit_price) FROM v3.order_details", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.customer_count", + "description": "Count of distinct customers (limited aggregability)", + "query": "SELECT APPROX_COUNT_DISTINCT(customer_id) FROM v3.order_details", + "mode": "published", + }, + ), + # Note: NONE aggregability metrics (e.g., MEDIAN) cannot be added currently because + # the MEDIAN function class in DJ doesn't have is_aggregation = True, which causes + # metric validation to fail. This should be fixed in functions.py. + # TODO: Add NONE aggregability metric once MEDIAN is properly registered as aggregate. + # ========================================================================= + # Base Metrics - On page_views_enriched + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "v3.page_view_count", + "description": "Total page views (fully aggregatable)", + "query": "SELECT COUNT(view_id) FROM v3.page_views_enriched", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.product_view_count", + "description": "Product page views (fully aggregatable)", + "query": "SELECT SUM(is_product_view) FROM v3.page_views_enriched", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.session_count", + "description": "Distinct sessions (limited aggregability)", + "query": "SELECT COUNT(DISTINCT session_id) FROM v3.page_views_enriched", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.visitor_count", + "description": "Distinct visitors (limited aggregability)", + "query": "SELECT COUNT(DISTINCT customer_id) FROM v3.page_views_enriched", + "mode": "published", + }, + ), + # ========================================================================= + # Derived Metrics - Same Fact Ratios + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "v3.avg_order_value", + "description": "Average order value (revenue / orders)", + "query": "SELECT v3.total_revenue / NULLIF(v3.order_count, 0)", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.avg_items_per_order", + "description": "Average items per order", + "query": "SELECT v3.total_quantity / NULLIF(v3.order_count, 0)", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.revenue_per_customer", + "description": "Revenue per unique customer", + "query": "SELECT v3.total_revenue / NULLIF(v3.customer_count, 0)", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.pages_per_session", + "description": "Average pages per session", + "query": "SELECT v3.page_view_count / NULLIF(v3.session_count, 0)", + "mode": "published", + }, + ), + # ========================================================================= + # Derived Metrics - Cross-Fact Ratios + # These combine metrics from order_details and page_views + # Available dimensions = intersection of both facts' dimensions + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "v3.conversion_rate", + "description": "Orders / Visitors (cross-fact ratio)", + "query": "SELECT CAST(v3.order_count AS DOUBLE) / NULLIF(v3.visitor_count, 0)", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.revenue_per_visitor", + "description": "Revenue / Visitors (cross-fact ratio)", + "query": "SELECT v3.total_revenue / NULLIF(v3.visitor_count, 0)", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.revenue_per_page_view", + "description": "Revenue / Page Views (cross-fact ratio)", + "query": "SELECT v3.total_revenue / NULLIF(v3.page_view_count, 0)", + "mode": "published", + }, + ), + # Additional Base Metrics - MIN/MAX aggregations + ( + "/nodes/metric/", + { + "name": "v3.max_unit_price", + "description": "Maximum unit price (FULL aggregability with MAX merge rule)", + "query": "SELECT MAX(unit_price) FROM v3.order_details", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.min_unit_price", + "description": "Minimum unit price (FULL aggregability with MIN merge rule)", + "query": "SELECT MIN(unit_price) FROM v3.order_details", + "mode": "published", + }, + ), + # ========================================================================= + # Non-Decomposable Metrics (Aggregability: NONE) + # These cannot be pre-aggregated and require full dataset access + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "v3.top_product_by_revenue", + "description": "Product ID with highest line total (non-decomposable MAX_BY)", + "query": "SELECT MAX_BY(product_id, line_total) FROM v3.order_details", + "mode": "published", + }, + ), + # Conditional Aggregation (SUM with CASE WHEN) + ( + "/nodes/metric/", + { + "name": "v3.completed_order_revenue", + "description": "Revenue from completed orders only (conditional aggregation)", + "query": "SELECT SUM(CASE WHEN status = 'completed' THEN line_total ELSE 0 END) FROM v3.order_details", + "mode": "published", + }, + ), + # Multiple Aggregations in One Metric (MAX - MIN) + ( + "/nodes/metric/", + { + "name": "v3.price_spread", + "description": "Difference between max and min unit price", + "query": "SELECT MAX(unit_price) - MIN(unit_price) FROM v3.order_details", + "mode": "published", + }, + ), + # ========================================================================= + # Complex Derived Metric: Combines multiple base metrics + # Uses price_spread (multi-component) and avg_unit_price (also multi-component) + # This tests derived metric that references a multi-component metric + ( + "/nodes/metric/", + { + "name": "v3.price_spread_pct", + "description": "Price spread as percentage of average price", + "query": "SELECT (v3.max_unit_price - v3.min_unit_price) / NULLIF(v3.avg_unit_price, 0) * 100", + "mode": "published", + }, + ), + # ========================================================================= + # Derived Metrics - Period-over-Period (Window Functions) + # These have aggregability: NONE due to window functions + # required_dimensions specifies which dimensions MUST be in the grain + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "v3.wow_revenue_change", + "description": "Week-over-week revenue change (%) - requires week dimension", + "query": """ + SELECT + (v3.total_revenue - LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.week[order])) + / NULLIF(LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.week[order]), 0) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.week[order]"], + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.wow_order_growth", + "description": "Week-over-week order count change (%) - requires week dimension", + "query": """ + SELECT + (CAST(v3.order_count AS DOUBLE) - LAG(CAST(v3.order_count AS DOUBLE), 1) OVER (ORDER BY v3.date.week[order])) + / NULLIF(LAG(CAST(v3.order_count AS DOUBLE), 1) OVER (ORDER BY v3.date.week[order]), 0) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.week[order]"], + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.mom_revenue_change", + "description": "Month-over-month revenue change (%) - requires month dimension", + "query": """ + SELECT + (v3.total_revenue - LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.month)) + / NULLIF(LAG(v3.total_revenue, 1) OVER (ORDER BY v3.date.month), 0) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.month"], + }, + ), + # ========================================================================= + # Rolling/Trailing Period Metrics + # These compute rolling sums and compare periods using frame clauses + # Output: one row per day (not per week/month) + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "v3.trailing_7d_revenue", + "description": "Trailing 7-day revenue (rolling sum of last 7 days)", + "query": """ + SELECT + SUM(v3.total_revenue) OVER ( + ORDER BY v3.date.date_id[order] + ROWS BETWEEN 6 PRECEDING AND CURRENT ROW + ) + """, + "mode": "published", + "required_dimensions": ["v3.date.date_id[order]"], + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.trailing_wow_revenue_change", + "description": ( + "Trailing week-over-week revenue change (%). " + "Compares last 7 days to previous 7 days. Output: one row per day." + ), + "query": """ + SELECT + ( + SUM(v3.total_revenue) OVER ( + ORDER BY v3.date.date_id[order] + ROWS BETWEEN 6 PRECEDING AND CURRENT ROW + ) + - SUM(v3.total_revenue) OVER ( + ORDER BY v3.date.date_id[order] + ROWS BETWEEN 13 PRECEDING AND 7 PRECEDING + ) + ) / NULLIF( + SUM(v3.total_revenue) OVER ( + ORDER BY v3.date.date_id[order] + ROWS BETWEEN 13 PRECEDING AND 7 PRECEDING + ), 0 + ) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.date_id[order]"], + }, + ), + # ========================================================================= + # Nested Derived Metrics - Metrics referencing other derived metrics + # These test the inline expansion of intermediate derived metrics + # ========================================================================= + ( + "/nodes/metric/", + { + "name": "v3.wow_aov_change", + "description": ( + "Week-over-week average order value change (%). " + "References v3.avg_order_value which is itself derived from " + "v3.total_revenue / v3.order_count. Tests nested derived metric expansion." + ), + "query": """ + SELECT + (v3.avg_order_value - LAG(v3.avg_order_value, 1) OVER (ORDER BY v3.date.week[order])) + / NULLIF(LAG(v3.avg_order_value, 1) OVER (ORDER BY v3.date.week[order]), 0) * 100 + """, + "mode": "published", + "required_dimensions": ["v3.date.week[order]"], + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.aov_growth_index", + "description": ( + "Average order value growth index vs baseline. " + "Non-window derived metric that references v3.avg_order_value (itself a derived metric)." + ), + "query": "SELECT v3.avg_order_value / 50.0 * 100", + "mode": "published", + }, + ), + ( + "/nodes/metric/", + { + "name": "v3.efficiency_ratio", + "description": ( + "Revenue efficiency ratio: avg_order_value / pages_per_session. " + "Tests nested derived metric referencing TWO derived metrics from DIFFERENT facts." + ), + "query": "SELECT v3.avg_order_value / NULLIF(v3.pages_per_session, 0)", + "mode": "published", + }, + ), +) + +EXAMPLES = { # type: ignore + "ROADS": ROADS, + "NAMESPACED_ROADS": NAMESPACED_ROADS, + "ACCOUNT_REVENUE": ACCOUNT_REVENUE, + "BASIC": BASIC, + "BASIC_IN_DIFFERENT_CATALOG": BASIC_IN_DIFFERENT_CATALOG, + "EVENT": EVENT, + "DBT": DBT, + "LATERAL_VIEW": LATERAL_VIEW, + "DIMENSION_LINK": DIMENSION_LINK, + "SIMPLE_HLL": SIMPLE_HLL, + "DERIVED_METRICS": DERIVED_METRICS, + "BUILD_V3": BUILD_V3, +} + + +COLUMN_MAPPINGS = { + "public.basic.comments": [ + Column(name="id", type=IntegerType(), order=0), + Column(name="user_id", type=IntegerType(), order=1), + Column(name="timestamp", type=TimestampType(), order=2), + Column(name="text", type=StringType(), order=3), + ], + "default.roads.repair_orders": [ + Column(name="repair_order_id", type=IntegerType(), order=0), + Column(name="municipality_id", type=StringType(), order=1), + Column(name="hard_hat_id", type=IntegerType(), order=2), + Column(name="order_date", type=TimestampType(), order=3), + Column(name="required_date", type=TimestampType(), order=4), + Column(name="dispatched_date", type=TimestampType(), order=5), + Column(name="dispatcher_id", type=IntegerType(), order=6), + Column(name="rating", type=IntegerType(), order=7), + ], + "default.roads.repair_orders_view": [ + Column(name="repair_order_id", type=IntegerType(), order=0), + Column(name="municipality_id", type=StringType(), order=1), + Column(name="hard_hat_id", type=IntegerType(), order=2), + Column(name="order_date", type=TimestampType(), order=3), + Column(name="required_date", type=TimestampType(), order=4), + Column(name="dispatched_date", type=TimestampType(), order=5), + Column(name="dispatcher_id", type=IntegerType(), order=6), + Column(name="rating", type=IntegerType(), order=7), + ], + "default.roads.municipality": [ + Column(name="municipality_id", type=StringType(), order=0), + Column(name="contact_name", type=StringType(), order=1), + Column(name="contact_title", type=StringType(), order=2), + Column(name="local_region", type=StringType(), order=3), + Column(name="phone", type=StringType(), order=4), + Column(name="state_id", type="int", order=5), + ], + "default.roads.repair_order_details": [ + Column(name="repair_order_id", type=IntegerType(), order=0), + Column(name="repair_type_id", type=IntegerType(), order=1), + Column(name="price", type=FloatType(), order=2), + Column(name="quantity", type=IntegerType(), order=3), + Column(name="discount", type=FloatType(), order=4), + ], + "default.roads.repair_type": [ + Column(name="repair_type_id", type=IntegerType(), order=0), + Column(name="repair_type_name", type=StringType(), order=1), + Column(name="contractor_id", type=IntegerType(), order=2), + ], + "default.roads.contractors": [ + Column(name="contractor_id", type=IntegerType(), order=0), + Column(name="company_name", type=StringType(), order=1), + Column(name="contact_name", type=StringType(), order=2), + Column(name="contact_title", type=StringType(), order=3), + Column(name="address", type=StringType(), order=4), + Column(name="city", type=StringType(), order=5), + Column(name="state", type=StringType(), order=6), + Column(name="postal_code", type=StringType(), order=7), + Column(name="country", type=StringType(), order=8), + Column(name="phone", type=StringType(), order=9), + ], + "default.roads.municipality_municipality_type": [ + Column(name="municipality_id", type=StringType(), order=0), + Column(name="municipality_type_id", type=StringType(), order=1), + ], + "default.roads.municipality_type": [ + Column(name="municipality_type_id", type=StringType(), order=0), + Column(name="municipality_type_desc", type=StringType(), order=1), + ], + "default.roads.dispatchers": [ + Column(name="dispatcher_id", type=IntegerType(), order=0), + Column(name="company_name", type=StringType(), order=1), + Column(name="phone", type=StringType(), order=2), + ], + "default.roads.hard_hats": [ + Column(name="hard_hat_id", type=IntegerType(), order=0), + Column(name="last_name", type=StringType(), order=1), + Column(name="first_name", type=StringType(), order=2), + Column(name="title", type=StringType(), order=3), + Column(name="birth_date", type=TimestampType(), order=4), + Column(name="hire_date", type=TimestampType(), order=5), + Column(name="address", type=StringType(), order=6), + Column(name="city", type=StringType(), order=7), + Column(name="state", type=StringType(), order=8), + Column(name="postal_code", type=StringType(), order=9), + Column(name="country", type=StringType(), order=10), + Column(name="manager", type=IntegerType(), order=11), + Column(name="contractor_id", type=IntegerType(), order=12), + ], + "default.roads.hard_hat_state": [ + Column(name="hard_hat_id", type=IntegerType(), order=0), + Column(name="state_id", type=StringType(), order=1), + ], + "default.roads.us_states": [ + Column(name="state_id", type=IntegerType(), order=0), + Column(name="state_name", type=StringType(), order=1), + Column(name="state_abbr", type=StringType(), order=2), + Column(name="state_region", type=IntegerType(), order=3), + ], + "default.roads.us_region": [ + Column(name="us_region_id", type=IntegerType(), order=0), + Column(name="us_region_description", type=StringType(), order=1), + ], + "public.main.view_foo": [ + Column(name="one", type=IntegerType(), order=0), + Column(name="two", type=StringType(), order=1), + ], + "dj_metadata.public.node": [ + Column(name="name", type=StringType(), order=0), + Column(name="type", type=StringType(), order=1), + Column(name="display_name", type=StringType(), order=2), + Column(name="created_at", type=TimestampType(), order=3), + Column(name="deactivated_at", type=TimestampType(), order=4), + Column(name="id", type=IntegerType(), order=5), + Column(name="namespace", type=StringType(), order=6), + Column(name="current_version", type=StringType(), order=7), + Column(name="missing_table", type=BooleanType(), order=8), + Column(name="created_by_id", type=TimestampType(), order=9), + ], + "dj_metadata.public.noderevision": [ + Column(name="name", type=StringType(), order=0), + Column(name="display_name", type=StringType(), order=1), + Column(name="type", type=StringType(), order=2), + Column(name="updated_at", type=TimestampType(), order=3), + Column(name="lineage", type=StringType(), order=4), + Column(name="description", type=StringType(), order=5), + Column(name="query", type=StringType(), order=6), + Column(name="mode", type=StringType(), order=7), + Column(name="id", type=IntegerType(), order=8), + Column(name="version", type=StringType(), order=9), + Column(name="node_id", type=IntegerType(), order=10), + Column(name="catalog_id", type=IntegerType(), order=11), + Column(name="schema_", type=StringType(), order=12), + Column(name="table", type=StringType(), order=13), + Column(name="metric_metadata_id", type=IntegerType(), order=14), + Column(name="status", type=StringType(), order=15), + Column(name="created_by_id", type=IntegerType(), order=16), + Column(name="query_ast", type=BinaryType(), order=17), + Column(name="custom_metadata", type=StringType(), order=18), + ], + # ========================================================================= + # DERIVED_METRICS canonical example set columns + # ========================================================================= + "default.derived.orders": [ + Column(name="order_id", type=IntegerType(), order=0), + Column(name="amount", type=FloatType(), order=1), + Column(name="customer_id", type=IntegerType(), order=2), + Column(name="order_date", type=IntegerType(), order=3), + ], + "default.derived.events": [ + Column(name="event_id", type=IntegerType(), order=0), + Column(name="page_views", type=IntegerType(), order=1), + Column(name="customer_id", type=IntegerType(), order=2), + Column(name="event_date", type=IntegerType(), order=3), + ], + "default.derived.inventory": [ + Column(name="inventory_id", type=IntegerType(), order=0), + Column(name="quantity", type=IntegerType(), order=1), + Column(name="warehouse_id", type=IntegerType(), order=2), + Column(name="inventory_date", type=IntegerType(), order=3), + ], + "default.derived.dates": [ + Column(name="date_id", type=IntegerType(), order=0), + Column(name="date_value", type=TimestampType(), order=1), + Column(name="week", type=IntegerType(), order=2), + Column(name="month", type=IntegerType(), order=3), + Column(name="year", type=IntegerType(), order=4), + ], + "default.derived.customers": [ + Column(name="customer_id", type=IntegerType(), order=0), + Column(name="name", type=StringType(), order=1), + Column(name="email", type=StringType(), order=2), + ], + "default.derived.warehouses": [ + Column(name="warehouse_id", type=IntegerType(), order=0), + Column(name="name", type=StringType(), order=1), + Column(name="location", type=StringType(), order=2), + ], +} + +QUERY_DATA_MAPPINGS = { + ( + "WITHdefault_DOT_repair_ordersAS(SELECTdefault_DOT_dispatcher.company_namedefault_DOT_dispatcher_DOT_company_name,count(default_DOT_repair_orders.repair_order_id)default_DOT_num_repair_ordersFROMroads.repair_ordersASdefault_DOT_repair_ordersLEFTOUTERJOIN(SELECTdefault_DOT_repair_orders.dispatcher_id,default_DOT_repair_orders.hard_hat_id,default_DOT_repair_orders.municipality_id,default_DOT_repair_orders.repair_order_idFROMroads.repair_ordersASdefault_DOT_repair_orders)ASdefault_DOT_repair_orderONdefault_DOT_repair_orders.repair_order_id=default_DOT_repair_order.repair_order_idLEFTOUTERJOIN(SELECTdefault_DOT_dispatchers.company_name,default_DOT_dispatchers.dispatcher_idFROMroads.dispatchersASdefault_DOT_dispatchers)ASdefault_DOT_dispatcherONdefault_DOT_repair_order.dispatcher_id=default_DOT_dispatcher.dispatcher_idGROUPBYdefault_DOT_dispatcher.company_name),default_DOT_repair_order_detailsAS(SELECTdefault_DOT_dispatcher.company_namedefault_DOT_dispatcher_DOT_company_name,avg(default_DOT_repair_order_details.price)ASdefault_DOT_avg_repair_priceFROMroads.repair_order_detailsASdefault_DOT_repair_order_detailsLEFTOUTERJOIN(SELECTdefault_DOT_repair_orders.dispatcher_id,default_DOT_repair_orders.hard_hat_id,default_DOT_repair_orders.municipality_id,default_DOT_repair_orders.repair_order_idFROMroads.repair_ordersASdefault_DOT_repair_orders)ASdefault_DOT_repair_orderONdefault_DOT_repair_order_details.repair_order_id=default_DOT_repair_order.repair_order_idLEFTOUTERJOIN(SELECTdefault_DOT_dispatchers.company_name,default_DOT_dispatchers.dispatcher_idFROMroads.dispatchersASdefault_DOT_dispatchers)ASdefault_DOT_dispatcherONdefault_DOT_repair_order.dispatcher_id=default_DOT_dispatcher.dispatcher_idGROUPBYdefault_DOT_dispatcher.company_name)SELECTdefault_DOT_repair_orders.default_DOT_num_repair_orders,default_DOT_repair_order_details.default_DOT_avg_repair_price,COALESCE(default_DOT_repair_orders.default_DOT_dispatcher_DOT_company_name,default_DOT_repair_order_details.default_DOT_dispatcher_DOT_company_name)default_DOT_dispatcher_DOT_company_nameFROMdefault_DOT_repair_ordersFULLOUTERJOINdefault_DOT_repair_order_detailsONdefault_DOT_repair_orders.default_DOT_dispatcher_DOT_company_name=default_DOT_repair_order_details.default_DOT_dispatcher_DOT_company_nameLIMIT10" + ) + .strip() + .replace('"', "") + .replace("\n", "") + .replace("\t", "") + .replace(" ", ""): QueryWithResults( + **{ + "id": "bd98d6be-e2d2-413e-94c7-96d9411ddee2", + "submitted_query": ( + "SELECT avg(repair_order_details.price) AS " + "default_DOT_avg_repair_price,\\n\\tdispatcher.company_name," + "\\n\\tcount(repair_orders.repair_order_id) AS default_DOT_num_repair_orders" + "default_DOT_num_repair_orders \\n FROM roads.repair_order_details AS " + "repair_order_details LEFT OUTER JOIN (SELECT " + "repair_orders.dispatcher_id,\\n\\trepair_orders.hard_hat_id,\\n\\t" + "repair_orders.municipality_id,\\n\\trepair_orders.repair_order_id " + "\\n FROM roads.repair_orders AS repair_orders) AS repair_order ON " + "repair_order_details.repair_order_id = repair_order.repair_order_id\\nLEFT " + "OUTER JOIN (SELECT dispatchers.company_name,\\n\\tdispatchers.dispatcher_id " + "\\n FROM roads.dispatchers AS dispatchers) AS dispatcher ON " + "repair_order.dispatcher_id = dispatcher.dispatcher_id \\n GROUP BY " + "dispatcher.company_name\\nLIMIT 10" + ), + "state": QueryState.FINISHED, + "results": [ + { + "columns": [ + { + "name": "default_DOT_num_repair_orders", + "type": "int", + "semantic_entity": "default.num_repair_orders", + "semantic_type": "metric", + }, + { + "name": "default_DOT_avg_repair_price", + "type": "float", + "semantic_entity": "default.avg_repair_price", + "semantic_type": "metric", + }, + { + "name": "company_name", + "type": "str", + "semantic_entity": "default.dispatcher.company_name", + "semantic_type": "dimension", + }, + ], + "rows": [ + (1.0, "Foo", 100), + (2.0, "Bar", 200), + ], + "sql": "", + }, + ], + "errors": [], + }, + ), +} diff --git a/datajunction-server/tests/fixtures/expected_multiline_query.yaml b/datajunction-server/tests/fixtures/expected_multiline_query.yaml new file mode 100644 index 000000000..e8ddfeef1 --- /dev/null +++ b/datajunction-server/tests/fixtures/expected_multiline_query.yaml @@ -0,0 +1,5 @@ +query: |- + SELECT * + FROM table + WHERE x = 1 +name: test_node diff --git a/datajunction-server/tests/fixtures/hierarchy_fixtures.py b/datajunction-server/tests/fixtures/hierarchy_fixtures.py new file mode 100644 index 000000000..aabcb9427 --- /dev/null +++ b/datajunction-server/tests/fixtures/hierarchy_fixtures.py @@ -0,0 +1,563 @@ +""" +Shared fixtures for hierarchy testing. + +This module provides time-based dimension fixtures that can be reused +across both model and API tests for hierarchies. +""" + +import pytest_asyncio +from sqlalchemy.ext.asyncio import AsyncSession + +from sqlalchemy import select + +from datajunction_server.database.attributetype import AttributeType, ColumnAttribute +from datajunction_server.database.hierarchy import Hierarchy, HierarchyLevel +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.models.node_type import NodeType +from datajunction_server.database.column import Column +from datajunction_server.sql.parsing.types import IntegerType, StringType, DateType +from datajunction_server.models.dimensionlink import JoinType + + +@pytest_asyncio.fixture +async def time_catalog(session: AsyncSession) -> Catalog: + """Create a catalog for time dimensions.""" + catalog = Catalog(name="time_warehouse") + session.add(catalog) + await session.commit() + return catalog + + +@pytest_asyncio.fixture +async def time_sources( + session: AsyncSession, + current_user: User, + time_catalog: Catalog, +) -> dict[str, Node]: + """Create time source tables.""" + sources = {} + + # Year source table + year_source = Node( + name="default.year_source", + type=NodeType.SOURCE, + current_version="v1", + created_by_id=current_user.id, + ) + year_source_rev = NodeRevision( + node=year_source, + name=year_source.name, + type=year_source.type, + version="v1", + catalog_id=time_catalog.id, + schema_="time", + table="years", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column(name="year_name", type=StringType(), order=1), + ], + created_by_id=current_user.id, + ) + session.add(year_source_rev) + sources["year"] = year_source + + # Quarter source table + quarter_source = Node( + name="default.quarter_source", + type=NodeType.SOURCE, + current_version="v1", + created_by_id=current_user.id, + ) + quarter_source_rev = NodeRevision( + node=quarter_source, + name=quarter_source.name, + type=quarter_source.type, + version="v1", + catalog_id=time_catalog.id, + schema_="time", + table="quarters", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column(name="quarter_id", type=IntegerType(), order=1), + Column(name="quarter_name", type=StringType(), order=2), + ], + created_by_id=current_user.id, + ) + session.add(quarter_source_rev) + sources["quarter"] = quarter_source + + # Month source table + month_source = Node( + name="default.month_source", + type=NodeType.SOURCE, + current_version="v1", + created_by_id=current_user.id, + ) + month_source_rev = NodeRevision( + node=month_source, + name=month_source.name, + type=month_source.type, + version="v1", + catalog_id=time_catalog.id, + schema_="time", + table="months", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column(name="quarter_id", type=IntegerType(), order=1), + Column(name="month_id", type=IntegerType(), order=2), + Column(name="month_name", type=StringType(), order=3), + ], + created_by_id=current_user.id, + ) + session.add(month_source_rev) + sources["month"] = month_source + + # Week source table + week_source = Node( + name="default.week_source", + type=NodeType.SOURCE, + current_version="v1", + created_by_id=current_user.id, + ) + week_source_rev = NodeRevision( + node=week_source, + name=week_source.name, + type=week_source.type, + version="v1", + catalog_id=time_catalog.id, + schema_="time", + table="weeks", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column(name="month_id", type=IntegerType(), order=1), + Column(name="week_id", type=IntegerType(), order=2), + Column(name="week_name", type=StringType(), order=3), + ], + created_by_id=current_user.id, + ) + session.add(week_source_rev) + sources["week"] = week_source + + # Day source table + day_source = Node( + name="default.day_source", + type=NodeType.SOURCE, + current_version="v1", + created_by_id=current_user.id, + ) + day_source_rev = NodeRevision( + node=day_source, + name=day_source.name, + type=day_source.type, + version="v1", + catalog_id=time_catalog.id, + schema_="time", + table="days", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column(name="quarter_id", type=IntegerType(), order=1), + Column(name="month_id", type=IntegerType(), order=2), + Column(name="week_id", type=IntegerType(), order=3), + Column(name="day_id", type=IntegerType(), order=4), + Column(name="day_date", type=DateType(), order=5), + ], + created_by_id=current_user.id, + ) + session.add(day_source_rev) + sources["day"] = day_source + + await session.commit() + await session.refresh(year_source) + await session.refresh(quarter_source) + await session.refresh(month_source) + await session.refresh(week_source) + await session.refresh(day_source) + return sources + + +@pytest_asyncio.fixture +async def time_dimensions( + session: AsyncSession, + current_user: User, + time_sources: dict[str, Node], +) -> tuple[dict[str, Node], dict[str, NodeRevision]]: + """Create time dimension nodes built on source tables.""" + dimensions = {} + revisions = {} + + # Get or create primary_key attribute type + result = await session.execute( + select(AttributeType).where( + AttributeType.namespace == "system", + AttributeType.name == "primary_key", + ), + ) + primary_key = result.scalar_one_or_none() + + if not primary_key: + primary_key = AttributeType( + namespace="system", + name="primary_key", + description="Points to a column which is part of the primary key of the node", + uniqueness_scope=[], + allowed_node_types=[ + NodeType.SOURCE, + NodeType.TRANSFORM, + NodeType.DIMENSION, + ], + ) + session.add(primary_key) + await session.flush() + + # Year dimension + year_dim = Node( + name="default.year_dim", + type=NodeType.DIMENSION, + current_version="v1", + created_by_id=current_user.id, + ) + year_dim_rev = NodeRevision( + node=year_dim, + name=year_dim.name, + type=year_dim.type, + version="v1", + query="SELECT year_id, year_name FROM default.year_source", + columns=[ + Column( + name="year_id", + type=IntegerType(), + order=0, + attributes=[ColumnAttribute(attribute_type=primary_key)], + ), + Column(name="year_name", type=StringType(), order=1), + ], + created_by_id=current_user.id, + ) + session.add(year_dim_rev) + dimensions["year"] = year_dim + revisions["year"] = year_dim_rev + + # Quarter dimension + quarter_dim = Node( + name="default.quarter_dim", + type=NodeType.DIMENSION, + current_version="v1", + created_by_id=current_user.id, + ) + quarter_dim_rev = NodeRevision( + node=quarter_dim, + name=quarter_dim.name, + type=quarter_dim.type, + version="v1", + query="SELECT year_id, quarter_id, quarter_name FROM default.quarter_source", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column( + name="quarter_id", + type=IntegerType(), + order=1, + attributes=[ColumnAttribute(attribute_type=primary_key)], + ), + Column(name="quarter_name", type=StringType(), order=2), + ], + created_by_id=current_user.id, + ) + session.add(quarter_dim_rev) + dimensions["quarter"] = quarter_dim + revisions["quarter"] = quarter_dim_rev + + # Month dimension + month_dim = Node( + name="default.month_dim", + type=NodeType.DIMENSION, + current_version="v1", + created_by_id=current_user.id, + ) + month_dim_rev = NodeRevision( + node=month_dim, + name=month_dim.name, + type=month_dim.type, + version="v1", + query="SELECT year_id, quarter_id, month_id, month_name FROM default.month_source", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column(name="quarter_id", type=IntegerType(), order=1), + Column( + name="month_id", + type=IntegerType(), + order=2, + attributes=[ColumnAttribute(attribute_type=primary_key)], + ), + Column(name="month_name", type=StringType(), order=3), + ], + created_by_id=current_user.id, + ) + session.add(month_dim_rev) + dimensions["month"] = month_dim + revisions["month"] = month_dim_rev + + # Week dimension + week_dim = Node( + name="default.week_dim", + type=NodeType.DIMENSION, + current_version="v1", + created_by_id=current_user.id, + ) + week_dim_rev = NodeRevision( + node=week_dim, + name=week_dim.name, + type=week_dim.type, + version="v1", + query="SELECT year_id, month_id, week_id, week_name FROM default.week_source", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column(name="month_id", type=IntegerType(), order=1), + Column( + name="week_id", + type=IntegerType(), + order=2, + attributes=[ColumnAttribute(attribute_type=primary_key)], + ), + Column(name="week_name", type=StringType(), order=3), + ], + created_by_id=current_user.id, + ) + session.add(week_dim_rev) + dimensions["week"] = week_dim + revisions["week"] = week_dim_rev + + # Day dimension + day_dim = Node( + name="default.day_dim", + type=NodeType.DIMENSION, + current_version="v1", + created_by_id=current_user.id, + ) + day_dim_rev = NodeRevision( + node=day_dim, + name=day_dim.name, + type=day_dim.type, + version="v1", + query="SELECT year_id, quarter_id, month_id, week_id, day_id, day_date FROM default.day_source", + columns=[ + Column(name="year_id", type=IntegerType(), order=0), + Column(name="quarter_id", type=IntegerType(), order=1), + Column(name="month_id", type=IntegerType(), order=2), + Column(name="week_id", type=IntegerType(), order=3), + Column( + name="day_id", + type=IntegerType(), + order=4, + attributes=[ColumnAttribute(attribute_type=primary_key)], + ), + Column(name="day_date", type=DateType(), order=5), + ], + created_by_id=current_user.id, + ) + session.add(day_dim_rev) + dimensions["day"] = day_dim + revisions["day"] = day_dim_rev + + await session.commit() + await session.refresh(year_dim) + await session.refresh(quarter_dim) + await session.refresh(month_dim) + await session.refresh(week_dim) + await session.refresh(day_dim) + return dimensions, revisions + + +@pytest_asyncio.fixture +async def time_dimension_links( + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], +) -> None: + """Create dimension links between time dimensions.""" + dimensions, revisions = time_dimensions + + # Get dimension nodes and revisions + year_dim = dimensions["year"] + quarter_dim = dimensions["quarter"] + month_dim = dimensions["month"] + week_dim = dimensions["week"] + + quarter_dim_rev = revisions["quarter"] + month_dim_rev = revisions["month"] + week_dim_rev = revisions["week"] + day_dim_rev = revisions["day"] + + # Quarter -> Year link + quarter_year_link = DimensionLink( + node_revision=quarter_dim_rev, + dimension=year_dim, + join_sql="default.quarter_dim.year_id = default.year_dim.year_id", + join_type=JoinType.INNER, + ) + + # Month -> Quarter link + month_quarter_link = DimensionLink( + node_revision=month_dim_rev, + dimension=quarter_dim, + join_sql="default.month_dim.year_id = default.quarter_dim.year_id AND default.month_dim.quarter_id = default.quarter_dim.quarter_id", + join_type=JoinType.INNER, + ) + + # Week -> Month link + week_month_link = DimensionLink( + node_revision=week_dim_rev, + dimension=month_dim, + join_sql="default.week_dim.year_id = default.month_dim.year_id AND default.week_dim.month_id = default.month_dim.month_id", + join_type=JoinType.INNER, + ) + + # Day -> Week link + day_week_link = DimensionLink( + node_revision=day_dim_rev, + dimension=week_dim, + join_sql="default.day_dim.year_id = default.week_dim.year_id AND default.day_dim.month_id = default.week_dim.month_id AND default.day_dim.week_id = default.week_dim.week_id", + join_type=JoinType.INNER, + ) + + # Day -> Month link (alternative path) + day_month_link = DimensionLink( + node_revision=day_dim_rev, + dimension=month_dim, + join_sql="default.day_dim.year_id = default.month_dim.year_id AND default.day_dim.quarter_id = default.month_dim.quarter_id AND default.day_dim.month_id = default.month_dim.month_id", + join_type=JoinType.INNER, + ) + + session.add_all( + [ + quarter_year_link, + month_quarter_link, + week_month_link, + day_week_link, + day_month_link, + ], + ) + await session.commit() + + +@pytest_asyncio.fixture +async def month_year_link( + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], +) -> DimensionLink: + """Create dimension links between time dimensions.""" + dimensions, revisions = time_dimensions + year_dim = dimensions["year"] + month_dim_rev = revisions["month"] + year_month_link = DimensionLink( + node_revision=month_dim_rev, + dimension=year_dim, + join_sql="default.month_dim.year_id = default.year_dim.year_id", + join_type=JoinType.INNER, + ) + session.add(year_month_link) + await session.commit() + return year_month_link + + +@pytest_asyncio.fixture +async def day_quarter_link( + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], +) -> DimensionLink: + """Create dimension links between time dimensions.""" + dimensions, revisions = time_dimensions + quarter_dim = dimensions["quarter"] + day_dim_rev = revisions["day"] + day_quarter_link = DimensionLink( + node_revision=day_dim_rev, + dimension=quarter_dim, + join_sql="default.day_dim.year_id = default.quarter_dim.year_id AND default.day_dim.quarter_id = default.quarter_dim.quarter_id", + join_type=JoinType.INNER, + ) + session.add(day_quarter_link) + await session.commit() + return day_quarter_link + + +@pytest_asyncio.fixture +async def calendar_hierarchy( + session: AsyncSession, + current_user: User, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + time_dimension_links: None, +) -> Hierarchy: + """Create a calendar hierarchy: Year -> Month -> Week -> Day.""" + dimensions, _ = time_dimensions + + hierarchy = Hierarchy( + name="calendar_hierarchy", + display_name="Calendar Hierarchy", + description="Year -> Month -> Week -> Day hierarchy", + created_by_id=current_user.id, + ) + session.add(hierarchy) + await session.flush() + + # Add levels + levels_data = [ + ("year", dimensions["year"].id, 0), + ("month", dimensions["month"].id, 1), + ("week", dimensions["week"].id, 2), + ("day", dimensions["day"].id, 3), + ] + + for name, node_id, order in levels_data: + level = HierarchyLevel( + hierarchy_id=hierarchy.id, + name=name, + dimension_node_id=node_id, + level_order=order, + ) + session.add(level) + + await session.commit() + await session.refresh(hierarchy, ["levels"]) + return hierarchy + + +@pytest_asyncio.fixture +async def fiscal_hierarchy( + session: AsyncSession, + current_user: User, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + time_dimension_links: None, +) -> Hierarchy: + """Create a fiscal hierarchy: Year -> Quarter -> Month -> Day.""" + dimensions, _ = time_dimensions + + hierarchy = Hierarchy( + name="fiscal_hierarchy", + display_name="Fiscal Hierarchy", + description="Year -> Quarter -> Month -> Day hierarchy", + created_by_id=current_user.id, + ) + session.add(hierarchy) + await session.flush() + + # Add levels + levels_data = [ + ("year", dimensions["year"].id, 0), + ("quarter", dimensions["quarter"].id, 1), + ("month", dimensions["month"].id, 2), + ("day", dimensions["day"].id, 3), + ] + + for name, node_id, order in levels_data: + level = HierarchyLevel( + hierarchy_id=hierarchy.id, + name=name, + dimension_node_id=node_id, + level_order=order, + ) + session.add(level) + + await session.commit() + await session.refresh(hierarchy, ["levels"]) + return hierarchy diff --git a/datajunction-server/tests/helpers/__init__.py b/datajunction-server/tests/helpers/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/helpers/populate_template.py b/datajunction-server/tests/helpers/populate_template.py new file mode 100644 index 000000000..10b1006ce --- /dev/null +++ b/datajunction-server/tests/helpers/populate_template.py @@ -0,0 +1,270 @@ +#!/usr/bin/env python +""" +Script to populate the template database with all examples. +Run as a subprocess to avoid event loop conflicts with pytest-asyncio. + +Usage: python populate_template.py +""" + +import asyncio +import os +import sys +from datetime import timedelta +from http.client import HTTPException +from typing import Dict, List, Optional + +import httpx +from cachelib.simple import SimpleCache +from httpx import AsyncClient +from sqlalchemy import text +from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine +from sqlalchemy.pool import StaticPool + +# Get database URL from command line +template_db_url = sys.argv[1] +reader_db_url = template_db_url.replace("dj:dj@", "readonly_user:readonly@") + +# Set environment variables BEFORE importing any datajunction_server modules +# This ensures the Settings class picks up these values +os.environ["DJ_DATABASE__URI"] = template_db_url +os.environ["WRITER_DB__URI"] = template_db_url +os.environ["READER_DB__URI"] = reader_db_url + +# Add tests directory to path for examples import +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +from examples import COLUMN_MAPPINGS, EXAMPLES, SERVICE_SETUP # noqa: E402 + +# Import config first and clear cache to ensure our env vars are used +from datajunction_server.config import DatabaseConfig, Settings # noqa: E402 +from datajunction_server.utils import get_settings # noqa: E402 + +# Clear the lru_cache on get_settings to force it to re-read +get_settings.cache_clear() + +# Now import the rest of the modules - they should use our settings +from datajunction_server.api.main import app # noqa: E402 +from datajunction_server.api.attributes import default_attribute_types # noqa: E402 +from datajunction_server.database.base import Base # noqa: E402 +from datajunction_server.database.column import Column # noqa: E402 +from datajunction_server.database.engine import Engine # noqa: E402 +from datajunction_server.database.user import User # noqa: E402 +from datajunction_server.internal.access.authentication.tokens import create_token # noqa: E402 +from datajunction_server.internal.access.authorization import ( # noqa: E402 + get_authorization_service, + PassthroughAuthorizationService, +) +from datajunction_server.internal.seed import seed_default_catalogs # noqa: E402 +from datajunction_server.models.dialect import register_dialect_plugin # noqa: E402 +from datajunction_server.models.query import QueryCreate, QueryWithResults # noqa: E402 +from datajunction_server.models.user import OAuthProvider # noqa: E402 +from datajunction_server.service_clients import QueryServiceClient # noqa: E402 +from datajunction_server.transpilation import SQLTranspilationPlugin # noqa: E402 +from datajunction_server.typing import QueryState # noqa: E402 +from datajunction_server.utils import get_session, get_query_service_client # noqa: E402 + +# Verify our settings are correct +actual_settings = get_settings() +print(f"Using writer_db: {actual_settings.writer_db.uri}") +print( + f"Using reader_db: {actual_settings.reader_db.uri if actual_settings.reader_db else 'None'}", +) + +# Import seed module to patch its cached settings +from datajunction_server.internal import seed as seed_module # noqa: E402 + +# Create template settings (matching what get_settings() should return) +template_settings = Settings( + writer_db=DatabaseConfig(uri=template_db_url), + reader_db=DatabaseConfig(uri=reader_db_url), + repository="/path/to/repository", + results_backend=SimpleCache(default_timeout=0), + celery_broker=None, + redis_cache=None, + query_service=None, + secret="a-fake-secretkey", + transpilation_plugins=["default"], +) + +# Patch the cached settings in seed module +seed_module.settings = template_settings + +# Register dialect plugins +register_dialect_plugin("spark", SQLTranspilationPlugin) +register_dialect_plugin("trino", SQLTranspilationPlugin) +register_dialect_plugin("druid", SQLTranspilationPlugin) + + +# Helper functions (copied from conftest.py) +async def post_and_raise_if_error(client: AsyncClient, endpoint: str, json: dict): + """Post the payload to the client and raise if there's an error""" + response = await client.post(endpoint, json=json) + if response.status_code not in (200, 201): + raise HTTPException(response.text) + + +async def post_and_dont_raise_if_error(client: AsyncClient, endpoint: str, json: dict): + """Post the payload to the client and don't raise if there's an error""" + await client.post(endpoint, json=json) + + +async def load_examples_in_client( + client: AsyncClient, + examples_to_load: Optional[List[str]] = None, +): + """Load the DJ client with examples""" + # Basic service setup always has to be done + for endpoint, json in SERVICE_SETUP: + await post_and_dont_raise_if_error( + client=client, + endpoint="http://test" + endpoint, + json=json, + ) + + # Load only the selected examples if any are specified + if examples_to_load is not None: + for example_name in examples_to_load: + for endpoint, json in EXAMPLES[example_name]: + await post_and_raise_if_error( + client=client, + endpoint=endpoint, + json=json, + ) + return client + + # Load all examples if none are specified + for example_name, examples in EXAMPLES.items(): + for endpoint, json in examples: + await post_and_raise_if_error( + client=client, + endpoint=endpoint, + json=json, + ) + return client + + +async def create_default_user(session: AsyncSession) -> User: + """Create the default DJ user.""" + new_user = User( + username="dj", + password="dj", + email="dj@datajunction.io", + name="DJ", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + ) + existing_user = await User.get_by_username(session, new_user.username) + if not existing_user: + session.add(new_user) + await session.commit() + user = new_user + else: + user = existing_user + await session.refresh(user) + return user + + +async def main(): + print(f"Populating template database: {template_db_url}") + + engine = create_async_engine( + url=template_db_url, + poolclass=StaticPool, + ) + + # Create all tables + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm;")) + await conn.run_sync(Base.metadata.create_all) + print("Tables created") + + async_session_factory = async_sessionmaker( + bind=engine, + autocommit=False, + expire_on_commit=False, + ) + + async with async_session_factory() as session: + # Seed default data + await default_attribute_types(session) + await seed_default_catalogs(session) + await create_default_user(session) + print("Default data seeded") + + # Create mock query service client + qs_client = QueryServiceClient(uri="query_service:8001") + + def mock_get_columns_for_table( + catalog: str, + schema: str, + table: str, + engine: Optional[Engine] = None, + request_headers: Optional[Dict[str, str]] = None, + ) -> List[Column]: + return COLUMN_MAPPINGS.get(f"{catalog}.{schema}.{table}", []) + + def mock_submit_query( + query_create: QueryCreate, + request_headers: Optional[Dict[str, str]] = None, + ) -> QueryWithResults: + return QueryWithResults( + id="bd98d6be-e2d2-413e-94c7-96d9411ddee2", + submitted_query=query_create.submitted_query, + state=QueryState.FINISHED, + results=[ + {"columns": [], "rows": [], "sql": query_create.submitted_query}, + ], + errors=[], + ) + + qs_client.get_columns_for_table = mock_get_columns_for_table # type: ignore + qs_client.submit_query = mock_submit_query # type: ignore + + # Override dependencies + def get_session_override() -> AsyncSession: + return session + + def get_settings_override() -> Settings: + return template_settings + + def get_passthrough_auth_service(): + """Override to approve all requests in tests.""" + return PassthroughAuthorizationService() + + def get_query_service_client_override(request=None): + return qs_client + + app.dependency_overrides[get_session] = get_session_override + app.dependency_overrides[get_settings] = get_settings_override + app.dependency_overrides[get_authorization_service] = ( + get_passthrough_auth_service + ) + app.dependency_overrides[get_query_service_client] = ( + get_query_service_client_override + ) + + # Create JWT token + jwt_token = create_token( + {"username": "dj"}, + secret="a-fake-secretkey", + iss="http://localhost:8000/", + expires_delta=timedelta(hours=24), + ) + + # Load ALL examples + print("Loading examples via HTTP client...") + async with httpx.AsyncClient( + transport=httpx.ASGITransport(app=app), + base_url="http://test", + ) as test_client: + test_client.headers.update({"Authorization": f"Bearer {jwt_token}"}) + await load_examples_in_client(test_client, None) # None = load ALL examples + print("Examples loaded") + + app.dependency_overrides.clear() + + await engine.dispose() + print("Template database populated successfully!") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/datajunction-server/tests/integration/__init__.py b/datajunction-server/tests/integration/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/integration/basic_test.py b/datajunction-server/tests/integration/basic_test.py new file mode 100644 index 000000000..8a3a7e809 --- /dev/null +++ b/datajunction-server/tests/integration/basic_test.py @@ -0,0 +1,23 @@ +""" +Basic integration tests. +""" + +import pytest +from sqlalchemy.engine import create_engine + + +@pytest.mark.integration_test +def test_query() -> None: + """ + Test a simple query. + """ + engine = create_engine("dj://localhost:8000/0") + connection = engine.connect() + + sql = """ +SELECT "core.users.gender", "core.num_comments" +FROM metrics +GROUP BY "core.users.gender" + """ + results = list(connection.execute(sql)) + assert results == [("female", 5), ("non-binary", 10), ("male", 7)] diff --git a/datajunction-server/tests/internal/access/group_membership_test.py b/datajunction-server/tests/internal/access/group_membership_test.py new file mode 100644 index 000000000..e5cf2d658 --- /dev/null +++ b/datajunction-server/tests/internal/access/group_membership_test.py @@ -0,0 +1,466 @@ +""" +Tests for group membership resolution service. +""" + +import pytest +import pytest_asyncio +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.group_member import GroupMember +from datajunction_server.database.user import OAuthProvider, PrincipalKind, User +from datajunction_server.internal.access.group_membership import ( + GroupMembershipService, + PostgresGroupMembershipService, + StaticGroupMembershipService, + get_group_membership_service, +) + + +@pytest_asyncio.fixture +async def alice(session: AsyncSession) -> User: + """Create alice user.""" + user = User( + username="alice", + email="alice@company.com", + name="Alice", + oauth_provider=OAuthProvider.BASIC, + kind=PrincipalKind.USER, + ) + session.add(user) + await session.commit() + await session.refresh(user) + return user + + +@pytest_asyncio.fixture +async def bob(session: AsyncSession) -> User: + """Create bob user.""" + user = User( + username="bob", + email="bob@company.com", + name="Bob", + oauth_provider=OAuthProvider.BASIC, + kind=PrincipalKind.USER, + ) + session.add(user) + await session.commit() + await session.refresh(user) + return user + + +@pytest_asyncio.fixture +async def eng_group(session: AsyncSession) -> User: + """Create engineering group.""" + group = User( + username="eng-team", + email="eng-team@company.com", + name="Engineering Team", + oauth_provider=OAuthProvider.GOOGLE, + kind=PrincipalKind.GROUP, + ) + session.add(group) + await session.commit() + await session.refresh(group) + return group + + +@pytest_asyncio.fixture +async def data_group(session: AsyncSession) -> User: + """Create data group.""" + group = User( + username="data-team", + email="data-team@company.com", + name="Data Team", + oauth_provider=OAuthProvider.GOOGLE, + kind=PrincipalKind.GROUP, + ) + session.add(group) + await session.commit() + await session.refresh(group) + return group + + +# PostgresGroupMembershipService Tests + + +@pytest.mark.asyncio +async def test_postgres_service_is_user_in_group_true( + session: AsyncSession, + alice: User, + eng_group: User, +): + """Test that user is correctly identified as member of group.""" + # Add alice to eng_group + membership = GroupMember( + group_id=eng_group.id, + member_id=alice.id, + ) + session.add(membership) + await session.commit() + + # Check membership + service = PostgresGroupMembershipService() + is_member = await service.is_user_in_group(session, "alice", "eng-team") + + assert is_member is True + + +@pytest.mark.asyncio +async def test_postgres_service_is_user_in_group_false( + session: AsyncSession, + alice: User, + bob: User, + eng_group: User, +): + """Test that user is correctly identified as NOT a member.""" + # Add only alice to eng_group + membership = GroupMember( + group_id=eng_group.id, + member_id=alice.id, + ) + session.add(membership) + await session.commit() + + # Check bob's membership (should be False) + service = PostgresGroupMembershipService() + is_member = await service.is_user_in_group(session, "bob", "eng-team") + + assert is_member is False + + +@pytest.mark.asyncio +async def test_postgres_service_is_user_in_group_nonexistent_user( + session: AsyncSession, + eng_group: User, +): + """Test checking membership for nonexistent user.""" + service = PostgresGroupMembershipService() + is_member = await service.is_user_in_group(session, "nonexistent", "eng-team") + + assert is_member is False + + +@pytest.mark.asyncio +async def test_postgres_service_is_user_in_group_nonexistent_group( + session: AsyncSession, + alice: User, +): + """Test checking membership for nonexistent group.""" + service = PostgresGroupMembershipService() + is_member = await service.is_user_in_group(session, "alice", "nonexistent-group") + + assert is_member is False + + +@pytest.mark.asyncio +async def test_postgres_service_get_user_groups_single( + session: AsyncSession, + alice: User, + eng_group: User, +): + """Test getting user's groups when user is in one group.""" + # Add alice to eng_group + membership = GroupMember( + group_id=eng_group.id, + member_id=alice.id, + ) + session.add(membership) + await session.commit() + + # Get alice's groups + service = PostgresGroupMembershipService() + groups = await service.get_user_groups(session, "alice") + + assert len(groups) == 1 + assert "eng-team" in groups + + +@pytest.mark.asyncio +async def test_postgres_service_get_user_groups_multiple( + session: AsyncSession, + alice: User, + eng_group: User, + data_group: User, +): + """Test getting user's groups when user is in multiple groups.""" + # Add alice to both groups + membership1 = GroupMember( + group_id=eng_group.id, + member_id=alice.id, + ) + membership2 = GroupMember( + group_id=data_group.id, + member_id=alice.id, + ) + session.add_all([membership1, membership2]) + await session.commit() + + # Get alice's groups + service = PostgresGroupMembershipService() + groups = await service.get_user_groups(session, "alice") + + assert len(groups) == 2 + assert "eng-team" in groups + assert "data-team" in groups + + +@pytest.mark.asyncio +async def test_postgres_service_get_user_groups_none( + session: AsyncSession, + alice: User, + eng_group: User, +): + """Test getting user's groups when user is not in any groups.""" + # Don't add alice to any group + + service = PostgresGroupMembershipService() + groups = await service.get_user_groups(session, "alice") + + assert len(groups) == 0 + + +@pytest.mark.asyncio +async def test_postgres_service_get_user_groups_nonexistent_user( + session: AsyncSession, +): + """Test getting groups for nonexistent user.""" + service = PostgresGroupMembershipService() + groups = await service.get_user_groups(session, "nonexistent") + + assert len(groups) == 0 + + +# StaticGroupMembershipService Tests + + +@pytest.mark.asyncio +async def test_static_service_is_user_in_group_always_false( + session: AsyncSession, + alice: User, + eng_group: User, +): + """Test that static service always returns False for membership.""" + # Even if we add alice to group in database + membership = GroupMember( + group_id=eng_group.id, + member_id=alice.id, + ) + session.add(membership) + await session.commit() + + # Static service should still return False + service = StaticGroupMembershipService() + is_member = await service.is_user_in_group(session, "alice", "eng-team") + + assert is_member is False + + +@pytest.mark.asyncio +async def test_static_service_get_user_groups_always_empty( + session: AsyncSession, + alice: User, + eng_group: User, +): + """Test that static service always returns empty list.""" + # Even if we add alice to group in database + membership = GroupMember( + group_id=eng_group.id, + member_id=alice.id, + ) + session.add(membership) + await session.commit() + + # Static service should still return empty + service = StaticGroupMembershipService() + groups = await service.get_user_groups(session, "alice") + + assert len(groups) == 0 + + +# Factory Function Tests + + +def test_get_group_membership_service_postgres(monkeypatch): + """Test factory returns PostgresGroupMembershipService.""" + # Mock settings + from unittest.mock import MagicMock + + mock_settings = MagicMock() + mock_settings.group_membership_provider = "postgres" + + def mock_get_settings(): + return mock_settings + + monkeypatch.setattr( + "datajunction_server.utils.get_settings", + mock_get_settings, + ) + + service = get_group_membership_service() + assert isinstance(service, PostgresGroupMembershipService) + + +def test_get_group_membership_service_static(monkeypatch): + """Test factory returns StaticGroupMembershipService.""" + from unittest.mock import MagicMock + + mock_settings = MagicMock() + mock_settings.group_membership_provider = "static" + + def mock_get_settings(): + return mock_settings + + monkeypatch.setattr( + "datajunction_server.utils.get_settings", + mock_get_settings, + ) + + service = get_group_membership_service() + assert isinstance(service, StaticGroupMembershipService) + + +def test_get_group_membership_service_unknown_provider(monkeypatch): + """Test factory raises ValueError for unknown provider.""" + from unittest.mock import MagicMock + + mock_settings = MagicMock() + mock_settings.group_membership_provider = "nonexistent" + + def mock_get_settings(): + return mock_settings + + monkeypatch.setattr( + "datajunction_server.utils.get_settings", + mock_get_settings, + ) + + with pytest.raises(ValueError) as exc_info: + get_group_membership_service() + + assert "Unknown group_membership_provider" in str(exc_info.value) + assert "nonexistent" in str(exc_info.value) + assert "postgres" in str(exc_info.value) + assert "static" in str(exc_info.value) + + +# Custom Subclass Discovery Tests + + +def test_custom_subclass_discovery(monkeypatch): + """Test that custom subclasses are automatically discovered.""" + from unittest.mock import MagicMock + + # Create a custom service + class CustomGroupMembershipService(GroupMembershipService): + name = "custom" + + async def is_user_in_group(self, session, username, group_name): + return True + + async def get_user_groups(self, session, username): + return ["custom-group"] + + # Mock settings to use custom provider + mock_settings = MagicMock() + mock_settings.group_membership_provider = "custom" + + def mock_get_settings(): + return mock_settings + + monkeypatch.setattr( + "datajunction_server.utils.get_settings", + mock_get_settings, + ) + + # Factory should discover and return custom service + service = get_group_membership_service() + assert isinstance(service, CustomGroupMembershipService) + assert service.name == "custom" + + +def test_subclass_without_name_not_registered(monkeypatch): + """Test that subclass without 'name' attribute is not registered.""" + from unittest.mock import MagicMock + + # Create a subclass without name attribute + class InvalidService(GroupMembershipService): + # Missing 'name' attribute! + + async def is_user_in_group(self, session, username, group_name): + return True + + async def get_user_groups(self, session, username): + return [] + + mock_settings = MagicMock() + mock_settings.group_membership_provider = "postgres" + + def mock_get_settings(): + return mock_settings + + monkeypatch.setattr( + "datajunction_server.utils.get_settings", + mock_get_settings, + ) + + # Should still work with built-in providers + service = get_group_membership_service() + assert isinstance(service, PostgresGroupMembershipService) + + +# Integration Tests + + +@pytest.mark.asyncio +async def test_multiple_users_in_same_group( + session: AsyncSession, + alice: User, + bob: User, + eng_group: User, +): + """Test multiple users can be members of the same group.""" + # Add both alice and bob to eng_group + membership1 = GroupMember(group_id=eng_group.id, member_id=alice.id) + membership2 = GroupMember(group_id=eng_group.id, member_id=bob.id) + session.add_all([membership1, membership2]) + await session.commit() + + service = PostgresGroupMembershipService() + + # Both should be members + assert await service.is_user_in_group(session, "alice", "eng-team") is True + assert await service.is_user_in_group(session, "bob", "eng-team") is True + + # Both should see the group in their group list + alice_groups = await service.get_user_groups(session, "alice") + bob_groups = await service.get_user_groups(session, "bob") + + assert "eng-team" in alice_groups + assert "eng-team" in bob_groups + + +@pytest.mark.asyncio +async def test_user_in_multiple_groups( + session: AsyncSession, + alice: User, + eng_group: User, + data_group: User, +): + """Test user can be member of multiple groups.""" + # Add alice to both groups + membership1 = GroupMember(group_id=eng_group.id, member_id=alice.id) + membership2 = GroupMember(group_id=data_group.id, member_id=alice.id) + session.add_all([membership1, membership2]) + await session.commit() + + service = PostgresGroupMembershipService() + + # Should be member of both + assert await service.is_user_in_group(session, "alice", "eng-team") is True + assert await service.is_user_in_group(session, "alice", "data-team") is True + + # Should see both groups + alice_groups = await service.get_user_groups(session, "alice") + assert len(alice_groups) == 2 + assert "eng-team" in alice_groups + assert "data-team" in alice_groups diff --git a/datajunction-server/tests/internal/authentication/basic_test.py b/datajunction-server/tests/internal/authentication/basic_test.py new file mode 100644 index 000000000..8a2e69d55 --- /dev/null +++ b/datajunction-server/tests/internal/authentication/basic_test.py @@ -0,0 +1,178 @@ +""" +Tests for basic auth helper functions +""" + +import pytest +from httpx import AsyncClient +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.constants import AUTH_COOKIE +from datajunction_server.errors import DJException +from datajunction_server.internal.access.authentication import basic + + +@pytest.mark.asyncio +async def test_login_with_username_and_password(client: AsyncClient): + """ + Test validating a username and a password + """ + await client.post( + "/basic/user/", + data={"email": "dj1@datajunction.io", "username": "dj1", "password": "dj1"}, + ) + response = await client.post( + "/basic/login/", + data={"username": "dj1", "password": "dj1"}, + ) + assert response.status_code in (200, 201) + assert response.cookies.get(AUTH_COOKIE) + + +@pytest.mark.asyncio +async def test_logout(client: AsyncClient): + """ + Test validating logging out + """ + await client.post("/logout/") + + +def test_hash_and_verify_password(): + """ + Test hashing a password and verifying a password against a hash + """ + hashed_password = basic.get_password_hash(password="foo") + assert basic.validate_password_hash( + plain_password="foo", + hashed_password=hashed_password, + ) + + +@pytest.mark.asyncio +async def test_validate_username_and_password( + client: AsyncClient, + session: AsyncSession, +): + """ + Test validating a username and a password + """ + await client.post( + "/basic/user/", + data={"email": "dj1@datajunction.io", "username": "dj1", "password": "dj1"}, + ) + user = await basic.validate_user_password( + username="dj1", + password="dj1", + session=session, + ) + assert user.username == "dj1" + + +@pytest.mark.asyncio +async def test_get_user(client: AsyncClient, session: AsyncSession): + """ + Test getting a user + """ + await client.post( + "/basic/user/", + data={ + "email": "auser@datajunction.io", + "username": "auser", + "password": "auser", + }, + ) + user = await basic.get_user(username="auser", session=session) + assert user.username == "auser" + + +@pytest.mark.asyncio +async def test_get_user_raise_on_user_not_found(session: AsyncSession): + """ + Test raising when trying to get a user that doesn't exist + """ + with pytest.raises(DJException) as exc_info: + await basic.get_user(username="dne", session=session) + assert "User dne not found" in str(exc_info.value) + + +@pytest.mark.asyncio +async def test_login_raise_on_user_not_found(client: AsyncClient): + """ + Test raising when trying to login as a user that doesn't exist + """ + response = await client.post( + "/basic/login/", + data={"username": "foo", "password": "bar"}, + ) + assert response.status_code == 401 + + +@pytest.mark.asyncio +async def test_fail_invalid_credentials(client: AsyncClient, session: AsyncSession): + """ + Test failing on invalid user credentials + """ + await client.post( + "/basic/user/", + data={ + "email": "dj1@datajunction.io", + "username": "dj1", + "password": "incorrect", + }, + ) + with pytest.raises(DJException) as exc_info: + await basic.validate_user_password( + username="dj1", + password="dj", + session=session, + ) + assert "Invalid password for user dj" in str(exc_info.value) + + +@pytest.mark.asyncio +async def test_fail_on_user_already_exists(client: AsyncClient): + """ + Test failing when creating a user that already exists + """ + await client.post( + "/basic/user/", + data={"email": "dj@datajunction.io", "username": "dj1", "password": "dj1"}, + ) + response = await client.post( + "/basic/user/", + data={"email": "dj@datajunction.io", "username": "dj1", "password": "dj1"}, + ) + assert response.status_code == 409 + assert response.json() == { + "message": "User dj1 already exists.", + "errors": [ + { + "code": 2, + "message": "User dj1 already exists.", + "debug": None, + "context": "", + }, + ], + "warnings": [], + } + + +@pytest.mark.asyncio +async def test_whoami(client: AsyncClient): + """ + Test the /whoami/ endpoint + """ + await client.post( + "/basic/user/", + data={"email": "dj@datajunction.io", "username": "dj", "password": "dj"}, + ) + response = await client.get("/whoami/") + assert response.status_code in (200, 201) + assert response.json() == { + "id": 1, + "username": "dj", + "email": "dj@datajunction.io", + "name": "DJ", + "oauth_provider": "basic", + "is_admin": False, + "last_viewed_notifications_at": None, + } diff --git a/datajunction-server/tests/internal/authentication/github_test.py b/datajunction-server/tests/internal/authentication/github_test.py new file mode 100644 index 000000000..c6ecc72db --- /dev/null +++ b/datajunction-server/tests/internal/authentication/github_test.py @@ -0,0 +1,16 @@ +""" +Tests for GitHub OAuth helper functions +""" + +from datajunction_server.internal.access.authentication import github + + +def test_get_authorize_url(): + """ + Test generating a GitHub OAuth authorize url for a GitHub app client ID + """ + assert github.get_authorize_url("foo") == ( + "https://github.com/login/oauth/authorize?" + "client_id=foo&scope=read:user&redirect_uri=" + "http://localhost:8000/github/token/" + ) diff --git a/datajunction-server/tests/internal/authentication/http_test.py b/datajunction-server/tests/internal/authentication/http_test.py new file mode 100644 index 000000000..a2495035b --- /dev/null +++ b/datajunction-server/tests/internal/authentication/http_test.py @@ -0,0 +1,127 @@ +""" +Test internal http authentication logic +""" + +import asyncio +from unittest.mock import MagicMock + +from sqlalchemy.ext.asyncio import AsyncSession +import pytest + +from datajunction_server.database.user import User +from datajunction_server.errors import DJException +from datajunction_server.internal.access.authentication.http import DJHTTPBearer +from datajunction_server.models.user import OAuthProvider, UserOutput + + +def test_dj_http_bearer_raise_when_unauthenticated(): + """ + Test raising when no cookie or auth headers are provided + """ + bearer = DJHTTPBearer() + request = MagicMock() + request.cookies.get.return_value = None + request.headers.get.return_value = None + with pytest.raises(DJException) as exc_info: + asyncio.run(bearer(request)) + assert "Not authenticated" in str(exc_info.value) + + +def test_dj_http_bearer_raise_with_empty_bearer_token(): + """ + Test raising when the authorization header has an empty bearer token + """ + bearer = DJHTTPBearer() + request = MagicMock() + request.cookies.get.return_value = None + request.headers.get.return_value = "Bearer " + with pytest.raises(DJException) as exc_info: + asyncio.run(bearer(request)) + assert "Not authenticated" in str(exc_info.value) + + +def test_dj_http_bearer_raise_with_unsupported_scheme(jwt_token): + """ + Test raising when the authorization header scheme is not a supported one + """ + bearer = DJHTTPBearer() + request = MagicMock() + request.cookies.get.return_value = None + request.headers.get.return_value = f"Foo {jwt_token}" + with pytest.raises(DJException) as exc_info: + asyncio.run(bearer(request)) + assert "Invalid authentication credentials" in str(exc_info.value) + + +def test_dj_http_bearer_raise_with_non_jwt_token(): + """ + Test raising when the token can't be parsed as a JWT + """ + bearer = DJHTTPBearer() + request = MagicMock() + request.cookies.get.return_value = None + request.headers.get.return_value = "Foo NotAJWT" + with pytest.raises(DJException) as exc_info: + asyncio.run(bearer(request)) + assert "Invalid authentication credentials" in str(exc_info.value) + + +def test_dj_http_bearer_w_cookie( + jwt_token: str, + session: AsyncSession, + current_user: User, +): + """ + Test using the DJHTTPBearer middleware with a cookie + """ + bearer = DJHTTPBearer() + request = MagicMock() + request.cookies.get.return_value = jwt_token + + asyncio.run(bearer(request, session)) + assert UserOutput.model_validate(request.state.user).model_dump() == { + "id": 1, + "username": "dj", + "email": "dj@datajunction.io", + "name": "DJ", + "oauth_provider": OAuthProvider.BASIC, + "is_admin": False, + "last_viewed_notifications_at": None, + } + + +def test_dj_http_bearer_w_auth_headers( + jwt_token: str, + session: AsyncSession, + current_user: User, +): + """ + Test using the DJHTTPBearer middleware with an authorization header + """ + bearer = DJHTTPBearer() + request = MagicMock() + request.cookies.get.return_value = None + request.headers.get.return_value = f"Bearer {jwt_token}" + + asyncio.run(bearer(request, session)) + assert UserOutput.model_validate(request.state.user).model_dump() == { + "id": 1, + "username": "dj", + "email": "dj@datajunction.io", + "name": "DJ", + "oauth_provider": OAuthProvider.BASIC, + "is_admin": False, + "last_viewed_notifications_at": None, + } + + +def test_raise_on_non_jwt_cookie(): + """ + Test using the DJHTTPBearer middleware with a cookie + """ + bearer = DJHTTPBearer() + request = MagicMock() + request.cookies.get.return_value = "NotAJWT" + with pytest.raises(DJException) as exc_info: + asyncio.run(bearer(request)) + assert "Cannot decode authorization token" in str(exc_info.value) diff --git a/datajunction-server/tests/internal/authentication/service_accounts_test.py b/datajunction-server/tests/internal/authentication/service_accounts_test.py new file mode 100644 index 000000000..0fd183ee9 --- /dev/null +++ b/datajunction-server/tests/internal/authentication/service_accounts_test.py @@ -0,0 +1,317 @@ +from unittest import mock +import pytest +from httpx import AsyncClient +from datajunction_server.database.user import OAuthProvider, PrincipalKind, User +from datajunction_server.internal.access.authentication.basic import ( + get_password_hash, + validate_password_hash, +) + +from sqlalchemy.ext.asyncio import AsyncSession + + +@pytest.mark.asyncio +async def test_create_service_account( + module__client: AsyncClient, + module__session: AsyncSession, +): + """ + Test creating a service account + """ + payload = {"name": "Test Service Account"} + + # Authenticated client should be used + response = await module__client.post("/service-accounts", json=payload) + assert response.status_code == 200, response.text + + data = response.json() + assert "client_id" in data + assert "client_secret" in data + assert "id" in data + + # Verify it's stored in DB correctly + sa = await User.get_by_username(module__session, data["client_id"]) + assert sa is not None + assert sa.name == "Test Service Account" + assert validate_password_hash(data["client_secret"], sa.password) + + response = await module__client.get("/service-accounts") + assert response.status_code == 200, response.text + sa_list = response.json() + assert len(sa_list) == 1 + assert sa_list[0] == { + "client_id": data["client_id"], + "created_at": mock.ANY, + "id": data["id"], + "name": data["name"], + } + + +@pytest.mark.asyncio +async def test_create_sa_with_non_user_identity(module__client: AsyncClient): + """ + Test creating a service account with a non-user identity (should fail) + """ + sa_response = await module__client.post( + "/service-accounts", + json={"name": "General SA"}, + ) + service_account = sa_response.json() + token_response = await module__client.post( + "/service-accounts/token", + data={ + "client_id": service_account["client_id"], + "client_secret": service_account["client_secret"], + }, + ) + auth_token = token_response.json() + create_resp = await module__client.post( + "/service-accounts", + headers={"Authorization": f"Bearer {auth_token['token']}"}, + json={"name": "Bogus"}, + ) + assert create_resp.status_code == 401 + error = create_resp.json() + assert error["errors"][0] == { + "code": 400, + "context": "", + "debug": None, + "message": "Only users can create service accounts", + } + + +@pytest.mark.asyncio +async def test_service_account_token_success( + module__client: AsyncClient, +): + """ + Test successful service account token retrieval + """ + # Create a service account + payload = {"name": "Login SA"} + create_resp = await module__client.post("/service-accounts", json=payload) + assert create_resp.status_code == 200 + sa_data = create_resp.json() + + # Use returned client_id + client_secret to get a token + login_resp = await module__client.post( + "/service-accounts/token", + data={ + "client_id": sa_data["client_id"], + "client_secret": sa_data["client_secret"], + }, + ) + assert login_resp.status_code == 200, login_resp.text + token_data = login_resp.json() + assert token_data["token_type"] == "bearer" + assert "token" in token_data + assert isinstance(token_data["expires_in"], int) + + # Use the token to call a protected endpoint + whoami_response = await module__client.get( + "/whoami", + headers={"Authorization": f"Bearer {token_data['token']}"}, + ) + assert whoami_response.status_code == 200 + assert whoami_response.json() == { + "email": None, + "id": mock.ANY, + "is_admin": False, + "name": "Login SA", + "oauth_provider": "basic", + "username": sa_data["client_id"], + "last_viewed_notifications_at": None, + } + + +@pytest.mark.asyncio +async def test_service_account_login_invalid_client_id(module__client: AsyncClient): + """ + Test login with non-existent client_id + """ + resp = await module__client.post( + "/service-accounts/token", + data={ + "client_id": "non-existent-id", + "client_secret": "whatever", + }, + ) + assert resp.status_code == 401 + error = resp.json() + assert error["errors"][0] == { + "code": 403, + "context": "", + "debug": None, + "message": "Service account `non-existent-id` not found", + } + + +@pytest.mark.asyncio +async def test_service_account_login_wrong_kind( + module__client: AsyncClient, + module__session: AsyncSession, +): + # Create a regular user + user = User( + username="normal-user", + password=get_password_hash("secret"), + kind=PrincipalKind.USER, + oauth_provider=OAuthProvider.BASIC, + ) + module__session.add(user) + await module__session.commit() + await module__session.refresh(user) + + resp = await module__client.post( + "/service-accounts/token", + data={"client_id": user.username, "client_secret": "secret"}, + ) + assert resp.status_code == 401 + error = resp.json() + assert error["errors"][0]["message"] == "Not a service account" + + +@pytest.mark.asyncio +async def test_service_account_login_invalid_secret(module__client: AsyncClient): + """ + Test login with incorrect client_secret + """ + # Create a service account + payload = {"name": "Bad Secret SA"} + create_resp = await module__client.post("/service-accounts", json=payload) + assert create_resp.status_code == 200 + sa_data = create_resp.json() + + # Try wrong secret + resp = await module__client.post( + "/service-accounts/token", + data={ + "client_id": sa_data["client_id"], + "client_secret": "wrong-secret", + }, + ) + assert resp.status_code == 401 + error = resp.json() + assert error["errors"][0] == { + "code": 402, + "context": "", + "debug": None, + "message": "Invalid service account credentials", + } + + +@pytest.mark.asyncio +async def test_delete_service_account_success( + module__client: AsyncClient, + module__session: AsyncSession, +): + """ + Test successfully deleting a service account + """ + # Create a service account + payload = {"name": "SA To Delete"} + create_resp = await module__client.post("/service-accounts", json=payload) + assert create_resp.status_code == 200 + sa_data = create_resp.json() + + # Verify it exists + sa = await User.get_by_username(module__session, sa_data["client_id"]) + assert sa is not None + + # Delete it + delete_resp = await module__client.delete( + f"/service-accounts/{sa_data['client_id']}", + ) + assert delete_resp.status_code == 200 + assert delete_resp.json() == { + "message": f"Service account `{sa_data['client_id']}` deleted", + } + + # Verify it's gone from the database + sa_after = await User.get_by_username(module__session, sa_data["client_id"]) + assert sa_after is None + + # Verify it's gone from the list + list_resp = await module__client.get("/service-accounts") + assert list_resp.status_code == 200 + sa_list = list_resp.json() + assert all(sa["client_id"] != sa_data["client_id"] for sa in sa_list) + + +@pytest.mark.asyncio +async def test_delete_service_account_not_found(module__client: AsyncClient): + """ + Test deleting a service account that doesn't exist + """ + resp = await module__client.delete("/service-accounts/non-existent-id") + assert resp.status_code == 401 + error = resp.json() + assert ( + error["errors"][0]["message"] == "Service account `non-existent-id` not found" + ) + + +@pytest.mark.asyncio +async def test_delete_service_account_wrong_kind( + module__client: AsyncClient, + module__session: AsyncSession, +): + """ + Test deleting something that is not a service account (e.g., a regular user) + """ + # Create a regular user + user = User( + username="regular-user-to-delete", + password=get_password_hash("secret"), + kind=PrincipalKind.USER, + oauth_provider=OAuthProvider.BASIC, + ) + module__session.add(user) + await module__session.commit() + + # Try to delete it via service account endpoint + resp = await module__client.delete(f"/service-accounts/{user.username}") + assert resp.status_code == 401 + error = resp.json() + assert error["errors"][0]["message"] == "Not a service account" + + +@pytest.mark.asyncio +async def test_delete_service_account_not_owner( + module__client: AsyncClient, + module__session: AsyncSession, +): + """ + Test that a user cannot delete a service account they didn't create + """ + # Create a service account owned by a different user + other_user = User( + username="other-user", + password=get_password_hash("secret"), + kind=PrincipalKind.USER, + oauth_provider=OAuthProvider.BASIC, + ) + module__session.add(other_user) + await module__session.commit() + await module__session.refresh(other_user) + + # Create a service account owned by the other user + sa = User( + name="Other User's SA", + username="other-users-sa-id", + password=get_password_hash("secret"), + kind=PrincipalKind.SERVICE_ACCOUNT, + oauth_provider=OAuthProvider.BASIC, + created_by_id=other_user.id, + ) + module__session.add(sa) + await module__session.commit() + + # Try to delete it as the current user (dj) + resp = await module__client.delete(f"/service-accounts/{sa.username}") + assert resp.status_code == 401 + error = resp.json() + assert ( + error["errors"][0]["message"] + == "You can only delete service accounts you created" + ) diff --git a/datajunction-server/tests/internal/authentication/token_test.py b/datajunction-server/tests/internal/authentication/token_test.py new file mode 100644 index 000000000..a5d2aea18 --- /dev/null +++ b/datajunction-server/tests/internal/authentication/token_test.py @@ -0,0 +1,29 @@ +""" +Test JWT helper functions +""" + +from datetime import timedelta + +from datajunction_server.internal.access.authentication import tokens + + +def test_create_and_get_token(): + """ + Test creating a JWT and getting it back from a request + """ + jwe_string = tokens.create_token( + data={"foo": "bar"}, + secret="a-fake-secretkey", + iss="http://localhost:8000/", + expires_delta=timedelta(minutes=30), + ) + data = tokens.decode_token(jwe_string) + assert data["foo"] == "bar" + + +def test_encrypt_and_decrypt(): + """ + Test encrypting and decrypting a value + """ + encrypted_string = tokens.encrypt("foo") + assert tokens.decrypt(encrypted_string) == "foo" diff --git a/datajunction-server/tests/internal/authentication/whoami_test.py b/datajunction-server/tests/internal/authentication/whoami_test.py new file mode 100644 index 000000000..579be07d5 --- /dev/null +++ b/datajunction-server/tests/internal/authentication/whoami_test.py @@ -0,0 +1,30 @@ +""" +Tests for whoami router +""" + +import pytest +from httpx import AsyncClient + +from datajunction_server.internal.access.authentication.tokens import decode_token + + +@pytest.mark.asyncio +async def test_whoami(module__client: AsyncClient): + """ + Test /whoami endpoint + """ + response = await module__client.get("/whoami/") + assert response.status_code in (200, 201) + assert response.json()["username"] == "dj" + + +@pytest.mark.asyncio +async def test_short_lived_token(module__client: AsyncClient): + """ + Test getting a short-lived token from the /token endpoint + """ + response = await module__client.get("/token/") + assert response.status_code in (200, 201) + data = response.json() + user = decode_token(data["token"]) + assert user["username"] == "dj" diff --git a/datajunction-server/tests/internal/authorization_test.py b/datajunction-server/tests/internal/authorization_test.py new file mode 100644 index 000000000..5e2b61b92 --- /dev/null +++ b/datajunction-server/tests/internal/authorization_test.py @@ -0,0 +1,2006 @@ +"""Tests for RBAC authorization logic.""" + +from datetime import datetime, timedelta, timezone + +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.group_member import GroupMember +from datajunction_server.database.rbac import Role, RoleAssignment, RoleScope +from datajunction_server.database.user import PrincipalKind, User +from datajunction_server.internal.access.authorization import ( + AccessChecker, + AccessDenialMode, + AuthContext, + PassthroughAuthorizationService, + RBACAuthorizationService, + get_authorization_service, +) +from datajunction_server.errors import DJAuthorizationException +from datajunction_server.internal.access.authentication.basic import get_user +from datajunction_server.models.access import ( + Resource, + ResourceAction, + ResourceRequest, + ResourceType, +) +from datajunction_server.internal.access.group_membership import ( + GroupMembershipService, +) + + +class TestResourceMatching: + """Tests for wildcard pattern matching.""" + + def test_exact_match(self): + """Test exact string matching (no wildcards).""" + assert RBACAuthorizationService.resource_matches_pattern( + "finance.revenue", + "finance.revenue", + ) + assert not RBACAuthorizationService.resource_matches_pattern( + "finance.revenue", + "finance.cost", + ) + + def test_wildcard_all(self): + """Test the universal wildcard *.""" + assert RBACAuthorizationService.resource_matches_pattern("anything", "*") + assert RBACAuthorizationService.resource_matches_pattern( + "finance.revenue.quarterly", + "*", + ) + assert RBACAuthorizationService.resource_matches_pattern("", "*") + + def test_namespace_wildcard(self): + """Test namespace wildcard patterns.""" + # finance.* matches finance.revenue + assert RBACAuthorizationService.resource_matches_pattern( + "finance.revenue", + "finance.*", + ) + + # finance.* matches finance.quarterly.revenue + assert RBACAuthorizationService.resource_matches_pattern( + "finance.quarterly.revenue", + "finance.*", + ) + + # finance.* does NOT match finance (exact namespace) + assert not RBACAuthorizationService.resource_matches_pattern( + "finance", + "finance.*", + ) + + # finance.* does NOT match marketing.revenue + assert not RBACAuthorizationService.resource_matches_pattern( + "marketing.revenue", + "finance.*", + ) + + def test_nested_namespace_wildcard(self): + """Test nested namespace patterns.""" + # users.alice.* matches users.alice.dashboard + assert RBACAuthorizationService.resource_matches_pattern( + "users.alice.dashboard", + "users.alice.*", + ) + + # users.alice.* matches users.alice.metrics.revenue + assert RBACAuthorizationService.resource_matches_pattern( + "users.alice.metrics.revenue", + "users.alice.*", + ) + + # users.alice.* does NOT match users.bob.dashboard + assert not RBACAuthorizationService.resource_matches_pattern( + "users.bob.dashboard", + "users.alice.*", + ) + + def test_edge_case_patterns(self): + """Test edge case patterns that reach the fallback logic (line 167-168). + + These patterns are unusual but should be handled gracefully: + - ".*" -> strips to empty string + - "**" -> strips to empty string + These are treated as global wildcards (match everything). + """ + # ".*" pattern - after stripping "*" and ".", becomes empty + assert RBACAuthorizationService.resource_matches_pattern( + "anything", + ".*", + ) + assert RBACAuthorizationService.resource_matches_pattern( + "finance.revenue", + ".*", + ) + assert RBACAuthorizationService.resource_matches_pattern( + "", + ".*", + ) + + # "**" pattern - after stripping "*", becomes empty + assert RBACAuthorizationService.resource_matches_pattern( + "anything", + "**", + ) + assert RBACAuthorizationService.resource_matches_pattern( + "deeply.nested.resource.name", + "**", + ) + + def test_wildcard_in_middle_not_supported(self): + """Test that wildcards in the middle of patterns don't work as expected. + + Note: The current implementation only supports trailing wildcards. + Patterns like "finance.*.revenue" are NOT supported as glob patterns. + """ + # "finance.*.revenue" - contains * but not at end + # This will strip trailing * (none) and compare as prefix + # So it won't match "finance.quarterly.revenue" + assert not RBACAuthorizationService.resource_matches_pattern( + "finance.quarterly.revenue", + "finance.*.revenue", + ) + + # It would only match if resource literally starts with "finance.*.revenue." + # which is unlikely in practice + + +@pytest.mark.asyncio +class TestRBACPermissionChecks: + """Tests for RBAC permission checking.""" + + async def test_no_roles_returns_false( + self, + default_user: User, + session: AsyncSession, + ): + """Test that user with no roles gets False (no explicit rule).""" + user = await get_user(username=default_user.username, session=session) + result = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + + assert result is False + + async def test_explicit_grant_exact_match( + self, + default_user: User, + session: AsyncSession, + ): + """Test explicit permission grant with exact resource match.""" + # Create role with exact scope + role = Role( + name="test-role", + created_by_id=default_user.id, + ) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.revenue", + ) + session.add(scope) + + # Assign role to user + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Check permission + user = await get_user(username=default_user.username, session=session) + result = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result is True + + async def test_explicit_grant_wildcard_match( + self, + default_user: User, + session: AsyncSession, + ): + """Test permission grant via wildcard pattern.""" + # Create role with wildcard scope + role = Role( + name="finance-reader", + created_by_id=default_user.id, + ) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", # Wildcard + ) + session.add(scope) + + # Assign role + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Check permissions on various resources + user = await get_user(username=default_user.username, session=session) + result1 = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result1 is True + + result2 = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.quarterly.revenue", + ) + assert result2 is True + + # Different namespace - no match + result3 = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="marketing.revenue", + ) + assert result3 is False + + async def test_wrong_action_no_match( + self, + default_user: User, + session: AsyncSession, + ): + """Test that wrong action doesn't grant permission.""" + role = Role(name="reader-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + # Only READ permission + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Check READ - should be granted + user = await get_user(username=default_user.username, session=session) + result_read = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result_read is True + + # Check WRITE - should be None (no explicit rule) + result_write = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.WRITE, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result_write is False + + async def test_expired_assignment_ignored( + self, + default_user: User, + session: AsyncSession, + ): + """Test that expired role assignments are ignored.""" + role = Role(name="temp-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + # Assignment expired 1 hour ago + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + expires_at=datetime.now(timezone.utc) - timedelta(hours=1), + ) + session.add(assignment) + await session.commit() + + # Should not grant permission (expired) + user = await get_user(username=default_user.username, session=session) + result = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert not result + + async def test_multiple_roles_any_grants( + self, + default_user: User, + session: AsyncSession, + ): + """Test that having ANY role that grants permission is sufficient.""" + # Role 1: No matching scope + role1 = Role(name="marketing-role", created_by_id=default_user.id) + session.add(role1) + await session.flush() + + scope1 = RoleScope( + role_id=role1.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="marketing.*", + ) + session.add(scope1) + + assignment1 = RoleAssignment( + principal_id=default_user.id, + role_id=role1.id, + granted_by_id=default_user.id, + ) + session.add(assignment1) + + # Role 2: Matching scope + role2 = Role(name="finance-role", created_by_id=default_user.id) + session.add(role2) + await session.flush() + + scope2 = RoleScope( + role_id=role2.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope2) + + assignment2 = RoleAssignment( + principal_id=default_user.id, + role_id=role2.id, + granted_by_id=default_user.id, + ) + session.add(assignment2) + await session.commit() + + # Should grant because role2 matches + user = await get_user(username=default_user.username, session=session) + result = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result is True + + async def test_universal_wildcard( + self, + default_user: User, + session: AsyncSession, + ): + """Test that * wildcard grants access to everything.""" + role = Role(name="super-admin", created_by_id=default_user.id) + session.add(role) + await session.flush() + + # Universal wildcard + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Should grant for anything + user = await get_user(username=default_user.username, session=session) + result1 = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result1 is True + + result2 = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="anything.at.all", + ) + assert result2 is True + + +@pytest.mark.asyncio +class TestAuthorizationService: + """Tests for the synchronous AuthorizationService.""" + + async def test_passthrough_service_approves_all( + self, + default_user: User, + session: AsyncSession, + ): + """Test that PassthroughAuthorizationService approves everything.""" + # Get existing user + user = await get_user(username=default_user.username, session=session) + + service = PassthroughAuthorizationService() + + requests = [ + ResourceRequest( + verb=ResourceAction.WRITE, + access_object=Resource( + name="finance.revenue", + resource_type=ResourceType.NAMESPACE, + ), + ), + ResourceRequest( + verb=ResourceAction.DELETE, + access_object=Resource( + name="secret.data", + resource_type=ResourceType.NODE, + ), + ), + ] + + result = service.authorize(user, requests) # Now sync! + + assert len(result) == 2 + assert all(req.approved for req in result) + + async def test_rbac_service_with_permissions( + self, + session: AsyncSession, + default_user: User, + mocker, + ): + """Test RBACAuthorizationService with granted permissions.""" + mock_settings = mocker.patch( + "datajunction_server.internal.access.authorization.service.settings", + ) + mock_settings.authorization_provider = "rbac" + mock_settings.default_access_policy = "restrictive" + + role = Role(name="test-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + user = await get_user(username=default_user.username, session=session) + requests = [ + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="finance.revenue", + resource_type=ResourceType.NAMESPACE, + ), + ), + ResourceRequest( + verb=ResourceAction.WRITE, # Not granted + access_object=Resource( + name="finance.revenue", + resource_type=ResourceType.NAMESPACE, + ), + ), + ] + + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_requests(requests) + result = await access_checker.check(on_denied=AccessDenialMode.RETURN) + assert len(result) == 2 + assert result[0].approved is True # READ granted + assert result[1].approved is False # WRITE not granted + + async def test_get_authorization_service_factory(self, mocker): + """Test the factory function returns correct service.""" + mock_settings = mocker.patch( + "datajunction_server.internal.access.authorization.service.settings", + ) + mock_settings.authorization_provider = "rbac" + mock_settings.default_access_policy = "restrictive" + + service = get_authorization_service() + assert isinstance(service, RBACAuthorizationService) + + # Test passthrough provider + mock_settings.authorization_provider = "passthrough" + service = get_authorization_service() + + # Cached instance, so need to clear cache + assert isinstance(service, RBACAuthorizationService) + + # Clear LRU cache to test different provider + get_authorization_service.cache_clear() + service = get_authorization_service() + assert isinstance(service, PassthroughAuthorizationService) + + # Test unknown provider + mock_settings.authorization_provider = "unknown" + get_authorization_service.cache_clear() + with pytest.raises(ValueError) as exc_info: + get_authorization_service() + assert "unknown" in str(exc_info.value).lower() + assert "rbac" in str(exc_info.value).lower() + assert "passthrough" in str(exc_info.value).lower() + + +@pytest.mark.asyncio +class TestGroupBasedPermissions: + """Tests for group-based role assignments.""" + + async def test_user_inherits_group_permissions( + self, + session: AsyncSession, + default_user: User, + mocker, + ): + """Test that users inherit permissions from groups they belong to.""" + # Create a group + group = User( + username="finance-team", + kind=PrincipalKind.GROUP, + oauth_provider="basic", + ) + session.add(group) + await session.flush() + + # Add user to group + membership = GroupMember( + group_id=group.id, + member_id=default_user.id, + ) + session.add(membership) + await session.flush() + + # Create role and assign to group + role = Role(name="finance-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + # Assign role to group + assignment = RoleAssignment( + principal_id=group.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Expire the user object so we get a fresh load + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + mock_settings = mocker.patch( + "datajunction_server.internal.access.authorization.service.settings", + ) + mock_settings.authorization_provider = "rbac" + mock_settings.default_access_policy = "restrictive" + + # Check permission - should be granted via group + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_requests( + [ + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="finance.revenue.something", + resource_type=ResourceType.NODE, + ), + ), + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + resource_type=ResourceType.NAMESPACE, + name="finance.revenue", + ), + ), + ], + ) + results = await access_checker.check(on_denied=AccessDenialMode.RETURN) + assert results[0].approved is True + assert results[1].approved is True + + async def test_user_no_permission_without_group( + self, + session: AsyncSession, + default_user: User, + mocker, + ): + """Test that user without group membership doesn't get permission.""" + # Create a group with permissions + group = User( + username="marketing-team", + kind=PrincipalKind.GROUP, + oauth_provider="basic", + ) + session.add(group) + await session.flush() + + # Create role and assign to GROUP + role = Role(name="marketing-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="marketing.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=group.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user without adding them to the group + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + mock_settings = mocker.patch( + "datajunction_server.internal.access.authorization.service.settings", + ) + mock_settings.authorization_provider = "rbac" + mock_settings.default_access_policy = "restrictive" + + # Check permission - should NOT be granted (user not in group) + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_requests( + [ + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="marketing.revenue", + resource_type=ResourceType.NAMESPACE, + ), + ), + ], + ) + results = await access_checker.check(on_denied=AccessDenialMode.RETURN) + assert results[0].approved is False + + +@pytest.mark.asyncio +class TestCrossResourceTypePermissions: + """Tests for namespace scopes covering nodes.""" + + async def test_namespace_scope_covers_nodes( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test that namespace scope grants permission for nodes in that namespace.""" + # Create role with NAMESPACE scope + role = Role(name="finance-ns-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, # Namespace scope + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + + # Reload user with member_of and group role_assignments eagerly loaded + user = await get_user(username=default_user.username, session=session) + + # Check permission for NAMESPACE resource - should be granted + result_namespace = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result_namespace is True + + # Check permission for NODE resource in that namespace - should ALSO be granted! + result_node = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NODE, + resource_name="finance.revenue.total", # Node in finance namespace + ) + assert result_node is True + + # Node in different namespace - should NOT be granted + result_other = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NODE, + resource_name="marketing.revenue.total", + ) + assert result_other is False + + async def test_namespace_scope_nested_namespaces( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test namespace scope with nested namespaces.""" + # Create role with wildcard namespace scope + role = Role(name="finance-all", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", # finance.* + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # finance.quarterly.revenue node should match finance.* namespace + result = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NODE, + resource_name="finance.quarterly.revenue", + ) + assert result is True + + async def test_node_scope_does_not_cover_namespace( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test that NODE scope does NOT grant permission for NAMESPACE resources.""" + # Create role with NODE scope + role = Role(name="specific-node-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NODE, # NODE scope + scope_value="finance.revenue", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # Check permission for NODE - should be granted + result_node = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NODE, + resource_name="finance.revenue", + ) + assert result_node is True + + # Check permission for NAMESPACE - should NOT be granted (cross-type only works one way) + result_namespace = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result_namespace is False + + +@pytest.mark.asyncio +class TestGlobalAccessScope: + """Tests for global access (empty or * scope_value).""" + + async def test_empty_scope_grants_global_access( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test that empty scope_value grants access to all resources of that type.""" + # Create role with empty scope_value (global) + role = Role(name="global-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="", # Global! (empty string) + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # Should grant for any namespace + result1 = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + assert result1 is True + + result2 = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="marketing.anything", + ) + assert result2 is True + + # Should NOT grant for different resource type + result3 = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NODE, # Different type + resource_name="finance.revenue", + ) + assert result3 is False + + async def test_star_scope_grants_global_access( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test that "*" scope_value grants access to all resources of that type.""" + # Create role with "*" scope_value + role = Role(name="star-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NODE, + scope_value="*", # Wildcard for all + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # Should grant for any node + result = RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NODE, + resource_name="anything.anywhere.node", + ) + assert result is True + + +@pytest.mark.asyncio +class TestPermissionHierarchy: + """Tests for permission hierarchy (MANAGE > DELETE > WRITE > READ).""" + + async def test_manage_implies_all_permissions( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test that MANAGE permission grants all other permissions.""" + # Create role with MANAGE permission + role = Role(name="finance-manager", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.MANAGE, # Top-level permission + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # MANAGE should grant READ + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is True + ) + + # MANAGE should grant WRITE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.WRITE, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is True + ) + + # MANAGE should grant DELETE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.DELETE, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is True + ) + + # MANAGE should grant EXECUTE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.EXECUTE, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is True + ) + + # MANAGE should grant MANAGE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.MANAGE, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is True + ) + + async def test_write_implies_read( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test that WRITE permission implies READ.""" + # Create role with WRITE permission + role = Role(name="finance-writer", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.WRITE, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # WRITE should grant READ + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is True + ) + + # WRITE should grant WRITE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.WRITE, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is True + ) + + # WRITE should NOT grant DELETE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.DELETE, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is False + ) + + async def test_read_does_not_imply_write( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test that READ permission does NOT imply WRITE.""" + # Create role with only READ permission + role = Role(name="readonly-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # READ should grant READ + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is True + ) + + # READ should NOT grant WRITE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.WRITE, + resource_type=ResourceType.NAMESPACE, + resource_name="finance.revenue", + ) + is False + ) + + async def test_execute_implies_read( + self, + # client_with_basic: AsyncClient, + session: AsyncSession, + default_user: User, + ): + """Test that EXECUTE permission implies READ.""" + # Create role with EXECUTE permission + role = Role(name="query-executor", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.EXECUTE, + scope_type=ResourceType.NODE, + scope_value="finance.revenue", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with roles + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # EXECUTE should grant READ + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.READ, + resource_type=ResourceType.NODE, + resource_name="finance.revenue", + ) + is True + ) + + # EXECUTE should grant EXECUTE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.EXECUTE, + resource_type=ResourceType.NODE, + resource_name="finance.revenue", + ) + is True + ) + + # EXECUTE should NOT grant WRITE + assert ( + RBACAuthorizationService.has_permission( + assignments=user.role_assignments, + action=ResourceAction.WRITE, + resource_type=ResourceType.NODE, + resource_name="finance.revenue", + ) + is False + ) + + +@pytest.mark.asyncio +class TestAuthContext: + """Tests for AuthContext and effective assignments.""" + + async def test_auth_context_from_user_direct_assignments_only( + self, + default_user: User, + session: AsyncSession, + ): + """AuthContext includes user's direct role assignments.""" + # Create role and assign to user + role = Role(name="test-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user with assignments + user = await get_user(username=default_user.username, session=session) + + # Build AuthContext + auth_context = await AuthContext.from_user(session, user) + + assert auth_context.user_id == user.id + assert auth_context.username == user.username + assert len(auth_context.role_assignments) == 1 + assert auth_context.role_assignments[0].role.name == "test-role" + + async def test_auth_context_includes_group_assignments( + self, + default_user: User, + session: AsyncSession, + ): + """AuthContext flattens user's + groups' assignments.""" + # Create a group + group = User( + username="finance-team", + kind=PrincipalKind.GROUP, + oauth_provider="basic", + ) + session.add(group) + await session.flush() + + # Add user to group + membership = GroupMember( + group_id=group.id, + member_id=default_user.id, + ) + session.add(membership) + + # Create role for user (direct) + user_role = Role(name="user-role", created_by_id=default_user.id) + session.add(user_role) + await session.flush() + + user_scope = RoleScope( + role_id=user_role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="personal.*", + ) + session.add(user_scope) + + user_assignment = RoleAssignment( + principal_id=default_user.id, + role_id=user_role.id, + granted_by_id=default_user.id, + ) + session.add(user_assignment) + + # Create role for group + group_role = Role(name="group-role", created_by_id=default_user.id) + session.add(group_role) + await session.flush() + + group_scope = RoleScope( + role_id=group_role.id, + action=ResourceAction.WRITE, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(group_scope) + + group_assignment = RoleAssignment( + principal_id=group.id, + role_id=group_role.id, + granted_by_id=default_user.id, + ) + session.add(group_assignment) + await session.commit() + + # Reload user + user = await get_user(username=default_user.username, session=session) + + # Build AuthContext (should include both) + auth_context = await AuthContext.from_user(session, user) + + assert auth_context.user_id == user.id + assert len(auth_context.role_assignments) == 2 # User's + group's + + role_names = {a.role.name for a in auth_context.role_assignments} + assert role_names == {"user-role", "group-role"} + + async def test_auth_context_with_multiple_groups( + self, + default_user: User, + session: AsyncSession, + ): + """User in multiple groups gets all group assignments.""" + # Create two groups + group1 = User( + username="finance-team", + kind=PrincipalKind.GROUP, + oauth_provider="basic", + ) + group2 = User( + username="data-eng-team", + kind=PrincipalKind.GROUP, + oauth_provider="basic", + ) + session.add_all([group1, group2]) + await session.flush() + + # Add user to both groups + membership1 = GroupMember(group_id=group1.id, member_id=default_user.id) + membership2 = GroupMember(group_id=group2.id, member_id=default_user.id) + session.add_all([membership1, membership2]) + + # Give each group a role + role1 = Role(name="finance-role", created_by_id=default_user.id) + role2 = Role(name="data-eng-role", created_by_id=default_user.id) + session.add_all([role1, role2]) + await session.flush() + + scope1 = RoleScope( + role_id=role1.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + scope2 = RoleScope( + role_id=role2.id, + action=ResourceAction.WRITE, + scope_type=ResourceType.NAMESPACE, + scope_value="analytics.*", + ) + session.add_all([scope1, scope2]) + + assignment1 = RoleAssignment( + principal_id=group1.id, + role_id=role1.id, + granted_by_id=default_user.id, + ) + assignment2 = RoleAssignment( + principal_id=group2.id, + role_id=role2.id, + granted_by_id=default_user.id, + ) + session.add_all([assignment1, assignment2]) + await session.commit() + + # Reload user + user = await get_user(username=default_user.username, session=session) + + # Build AuthContext + auth_context = await AuthContext.from_user(session, user) + + # Should have assignments from both groups + assert len(auth_context.role_assignments) == 2 + role_names = {a.role.name for a in auth_context.role_assignments} + assert role_names == {"finance-role", "data-eng-role"} + + +@pytest.mark.asyncio +class TestCheckAccess: + """Tests for authorize() function with different denial modes.""" + + async def test_check_access_filter_mode_returns_only_approved( + self, + default_user: User, + session: AsyncSession, + mocker, + ): + """FILTER mode returns only approved requests (default).""" + # Give user access to finance.* but not marketing.* + role = Role(name="finance-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + # Reload user + await session.refresh(default_user) + user = await get_user(username=default_user.username, session=session) + + # Request access to 3 nodes: 2 accessible, 1 not + requests = [ + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="finance.revenue", + resource_type=ResourceType.NODE, + ), + ), + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="finance.cost", + resource_type=ResourceType.NODE, + ), + ), + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="marketing.revenue", + resource_type=ResourceType.NODE, + ), + ), + ] + + mock_settings = mocker.patch( + "datajunction_server.internal.access.authorization.service.settings", + ) + mock_settings.authorization_provider = "rbac" + mock_settings.default_access_policy = "restrictive" + + # Check access (default FILTER mode) + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_requests(requests) + approved = await access_checker.approved_resource_names() + + # Should only return the 2 approved (finance.* nodes) + assert len(approved) == 2 + assert approved == ["finance.revenue", "finance.cost"] + + async def test_check_access_raise_mode_throws_on_denial( + self, + default_user: User, + session: AsyncSession, + mocker, + ): + """ + Raise mode throws DJAuthorizationException when access denied + for a user with no permissions. + """ + user = await get_user(username=default_user.username, session=session) + + request = ResourceRequest( + verb=ResourceAction.WRITE, + access_object=Resource( + name="finance.revenue", + resource_type=ResourceType.NODE, + ), + ) + + mock_settings = mocker.patch( + "datajunction_server.internal.access.authorization.service.settings", + ) + mock_settings.authorization_provider = "rbac" + mock_settings.default_access_policy = "restrictive" + + with pytest.raises(DJAuthorizationException) as exc_info: + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_request(request) + await access_checker.check(on_denied=AccessDenialMode.RAISE) + + # Check exception message + assert "Access denied to 1 resource(s): finance.revenue" in str(exc_info.value) + + async def test_check_access_raise_mode_succeeds_when_approved( + self, + default_user: User, + session: AsyncSession, + ): + """RAISE mode succeeds without exception when all approved.""" + # Give user access + role = Role(name="finance-writer", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.WRITE, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + user = await get_user(username=default_user.username, session=session) + + request = ResourceRequest( + verb=ResourceAction.WRITE, + access_object=Resource( + name="finance.revenue", + resource_type=ResourceType.NODE, + ), + ) + + # Should NOT raise + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_request(request) + result = await access_checker.check(on_denied=AccessDenialMode.RAISE) + assert len(result) == 1 + assert result[0].approved is True + + async def test_check_access_return_mode( + self, + default_user: User, + session: AsyncSession, + mocker, + ): + """RETURN_ALL mode returns all requests with approved field set.""" + # Give user access to finance.* only + role = Role(name="finance-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + user = await get_user(username=default_user.username, session=session) + + # Request access to 3 nodes: 2 accessible, 1 not + requests = [ + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="finance.revenue", + resource_type=ResourceType.NODE, + ), + ), + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="finance.cost", + resource_type=ResourceType.NODE, + ), + ), + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="marketing.revenue", + resource_type=ResourceType.NODE, + ), + ), + ] + + mock_settings = mocker.patch( + "datajunction_server.internal.access.authorization.service.settings", + ) + mock_settings.authorization_provider = "rbac" + mock_settings.default_access_policy = "restrictive" + + # Check access with RETURN_ALL + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_requests(requests) + + all_requests = await access_checker.check(on_denied=AccessDenialMode.RETURN) + + # Should return all 3 requests + assert len(all_requests) == 3 + + # 2 approved, 1 denied + approved = [r for r in all_requests if r.approved] + denied = [r for r in all_requests if not r.approved] + + assert len(approved) == 2 + assert len(denied) == 1 + assert denied[0].request.access_object.name == "marketing.revenue" + + +@pytest.mark.asyncio +class TestGetEffectiveAssignments: + """Tests for get_effective_assignments() with GroupMembershipService.""" + + async def test_effective_assignments_user_only( + self, + default_user: User, + session: AsyncSession, + ): + """User with no groups gets only direct assignments.""" + # Give user a direct assignment + role = Role(name="personal-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="personal.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + user = await get_user(username=default_user.username, session=session) + + # Get effective assignments + assignments = await AuthContext.get_effective_assignments(session, user) + + assert len(assignments) == 1 + assert assignments[0].role.name == "personal-role" + + async def test_effective_assignments_with_postgres_groups( + self, + default_user: User, + session: AsyncSession, + ): + """Effective assignments includes groups from PostgresGroupMembershipService.""" + # Create group + group = User( + username="test-group", + kind=PrincipalKind.GROUP, + oauth_provider="basic", + ) + session.add(group) + await session.flush() + + # Add user to group via GroupMember table + membership = GroupMember( + group_id=group.id, + member_id=default_user.id, + ) + session.add(membership) + + # Create role and assign to GROUP + role = Role(name="group-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.WRITE, + scope_type=ResourceType.NAMESPACE, + scope_value="shared.*", + ) + session.add(scope) + + group_assignment = RoleAssignment( + principal_id=group.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(group_assignment) + await session.commit() + + user = await get_user(username=default_user.username, session=session) + + # Get effective assignments (should use PostgresGroupMembershipService by default) + assignments = await AuthContext.get_effective_assignments(session, user) + + # Should include group's assignment + assert len(assignments) >= 1 + role_names = {a.role.name for a in assignments} + assert "group-role" in role_names + + async def test_effective_assignments_with_custom_service( + self, + default_user: User, + session: AsyncSession, + mocker, + ): + """Custom GroupMembershipService can be provided.""" + + # Create a mock service that returns a specific group + class MockGroupService(GroupMembershipService): + name = "mock" + + async def is_user_in_group(self, session, username, group_name): + return group_name == "mock-group" + + async def get_user_groups(self, session, username): + return ["mock-group"] + + async def add_user_to_group(self, session, username, group_name): + pass + + async def remove_user_from_group(self, session, username, group_name): + pass + + # Create the mock group in DB + group = User( + username="mock-group", + kind=PrincipalKind.GROUP, + oauth_provider="basic", + ) + session.add(group) + await session.flush() + + # Assign role to mock group + role = Role(name="mock-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.EXECUTE, + scope_type=ResourceType.NAMESPACE, + scope_value="special.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=group.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + user = await get_user(username=default_user.username, session=session) + + # Use custom service + mock_service = MockGroupService() + mocker.patch( + "datajunction_server.internal.access.authorization.context.get_group_membership_service", + lambda: mock_service, + ) + assignments = await AuthContext.get_effective_assignments( + session, + user, + ) + + # Should include mock group's assignment + role_names = {a.role.name for a in assignments} + assert "mock-role" in role_names + + +@pytest.mark.asyncio +class TestCheckAccessIntegration: + """Integration tests for authorize() with real authorization flow.""" + + async def test_check_access_with_group_based_permissions( + self, + default_user: User, + session: AsyncSession, + ): + """End-to-end: User gets access via group membership.""" + # Create group + group = User( + username="data-team", + kind=PrincipalKind.GROUP, + oauth_provider="basic", + ) + session.add(group) + await session.flush() + + # Add user to group + membership = GroupMember( + group_id=group.id, + member_id=default_user.id, + ) + session.add(membership) + + # Give group permission + role = Role(name="data-team-role", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="data.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=group.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + user = await get_user(username=default_user.username, session=session) + + # Request access to data.* node + request = ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="data.user_events", + resource_type=ResourceType.NODE, + ), + ) + + # Should be approved via group + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_request(request) + approved = await access_checker.check(on_denied=AccessDenialMode.RETURN) + + assert len(approved) == 1 + assert approved[0].approved is True + + async def test_check_access_with_mixed_approval( + self, + default_user: User, + session: AsyncSession, + mocker, + ): + """Some requests approved, some denied.""" + # Give access to finance.* only + role = Role(name="finance-reader", created_by_id=default_user.id) + session.add(role) + await session.flush() + + scope = RoleScope( + role_id=role.id, + action=ResourceAction.READ, + scope_type=ResourceType.NAMESPACE, + scope_value="finance.*", + ) + session.add(scope) + + assignment = RoleAssignment( + principal_id=default_user.id, + role_id=role.id, + granted_by_id=default_user.id, + ) + session.add(assignment) + await session.commit() + + user = await get_user(username=default_user.username, session=session) + + # Mix of accessible and inaccessible + requests = [ + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="finance.revenue", + resource_type=ResourceType.NODE, + ), + ), + ResourceRequest( + verb=ResourceAction.READ, + access_object=Resource( + name="marketing.revenue", + resource_type=ResourceType.NODE, + ), + ), + ] + mock_settings = mocker.patch( + "datajunction_server.internal.access.authorization.service.settings", + ) + mock_settings.authorization_provider = "rbac" + mock_settings.default_access_policy = "restrictive" + + # FILTER mode - returns only approved + access_checker = AccessChecker( + auth_context=await AuthContext.from_user(user=user, session=session), + ) + access_checker.add_requests(requests) + filtered = await access_checker.check(on_denied=AccessDenialMode.FILTER) + assert len(filtered) == 1 + assert filtered[0].request.access_object.name == "finance.revenue" + + # RETURN_ALL mode - returns both + all_results = await access_checker.check(on_denied=AccessDenialMode.RETURN) + assert len(all_results) == 2 + assert all_results[0].approved is True + assert all_results[1].approved is False + + # RAISE mode - should raise + with pytest.raises(DJAuthorizationException): + await access_checker.check(on_denied=AccessDenialMode.RAISE) diff --git a/datajunction-server/tests/internal/caching/cache_manager_test.py b/datajunction-server/tests/internal/caching/cache_manager_test.py new file mode 100644 index 000000000..c055f2b6d --- /dev/null +++ b/datajunction-server/tests/internal/caching/cache_manager_test.py @@ -0,0 +1,185 @@ +""" +Tests for cache manager +""" + +from fastapi import BackgroundTasks +import pytest +from datajunction_server.internal.caching.cachelib_cache import CachelibCache +from datajunction_server.internal.caching.cache_manager import RefreshAheadCacheManager +from starlette.datastructures import Headers + + +class ExampleCacheManager(RefreshAheadCacheManager): + async def fallback(self, request, params): + return {"fresh": True, "params": params} + + +class DummyRequest: + """ + Fake request for testing. Allows easy setting of Cache-Control variations. + """ + + def __init__(self, cache_control: str | None = None): + headers = {} + if cache_control: + headers["Cache-Control"] = cache_control + self.headers = Headers(headers) + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "cache_control,expect_store,expect_cache_hit", + [ + ("", True, True), # default: uses and stores cache + ("no-cache", True, False), # bypass cache, but stores fresh value + ("no-store", False, True), # bypass AND do not store + ("no-cache, no-store", False, False), # both flags: bypass and skip store + ], +) +async def test_refresh_ahead_cache_headers( + cache_control, + expect_store, + expect_cache_hit, +): + cache = CachelibCache() + cm = ExampleCacheManager(cache) + params = {"foo": "bar"} + request = DummyRequest(cache_control=cache_control) + background = BackgroundTasks() + + # Pre-populate cache to test hit vs miss + key = await cm.build_cache_key(request, params) + cache.set(key, {"cached": True}) + + result = await cm.get_or_load(background, request, params) + + # If it was a hit, the cached version comes back + if expect_cache_hit: + assert result == {"cached": True} + else: + assert result["fresh"] is True + + # Run any background tasks (e.g. refresh or store) + for task in background.tasks: + await task() + + key = await cm.build_cache_key(request, params) + + # Run background tasks to store if needed + for task in background.tasks: + await task() + + # After tasks, see what's in the cache + stored = cache.get(key) + if expect_store: + assert stored == { + "fresh": True, + "params": { + "foo": "bar", + }, + } + else: + assert stored == {"cached": True} + + +@pytest.mark.asyncio +async def test_build_cache_key_consistency(): + """ + The same params should always produce the same key. + """ + cache = CachelibCache() + cm = ExampleCacheManager(cache) + params1 = {"a": 1, "b": 2} + params2 = {"b": 2, "a": 1} + + request = DummyRequest() + key1 = await cm.build_cache_key(request, params1) + key2 = await cm.build_cache_key(request, params2) + + assert key1 == key2 + assert key1.startswith("examplecachemanager:") + + +@pytest.mark.asyncio +async def test_invalid_params_type(): + """ + Using a bad params type should raise TypeError. + """ + cache = CachelibCache() + cm = ExampleCacheManager(cache) + request = DummyRequest() + + class NotValid: + pass + + with pytest.raises(TypeError): + await cm.build_cache_key(request, NotValid()) + + +@pytest.mark.asyncio +async def test_refresh_cache_explicit(): + cache = CachelibCache() + cm = ExampleCacheManager(cache) + request = DummyRequest() + params = {"x": 1} + + key = await cm.build_cache_key(request, params) + + # Before refresh: nothing + assert cache.get(key) is None + + # Do refresh + await cm._refresh_cache(key, request, params) + + # Should now have a fresh value + stored = cache.get(key) + assert stored["fresh"] is True + assert stored["params"] == {"x": 1} + + +@pytest.mark.asyncio +async def test_cache_key_prefix_override(): + class CustomPrefixManager(ExampleCacheManager): + _cache_key_prefix = "customprefix" + + cm = CustomPrefixManager(CachelibCache()) + request = DummyRequest() + key = await cm.build_cache_key(request, {"foo": "bar"}) + assert key.startswith("customprefix:") + + +@pytest.mark.asyncio +async def test_fallback_runs_on_cache_miss(): + cache = CachelibCache() + cm = ExampleCacheManager(cache) + request = DummyRequest() + params = {"hello": "world"} + background = BackgroundTasks() + + result = await cm.get_or_load(background, request, params) + + assert result["fresh"] is True + + +@pytest.mark.asyncio +async def test_background_refresh_updates_cache(): + cache = CachelibCache() + cm = ExampleCacheManager(cache) + params = {"foo": "bar"} + request = DummyRequest() + background = BackgroundTasks() + + key = await cm.build_cache_key(request, params) + # Prepopulate with stale value + cache.set(key, {"cached": True}) + + result = await cm.get_or_load(background, request, params) + assert result == {"cached": True} + + # Run background refresh tasks + for task in background.tasks: + await task() + + # After refresh, the cache should be updated with fresh value + stored = cache.get(key) + assert stored["fresh"] is True diff --git a/datajunction-server/tests/internal/caching/cachelib_cache_test.py b/datajunction-server/tests/internal/caching/cachelib_cache_test.py new file mode 100644 index 000000000..10106d799 --- /dev/null +++ b/datajunction-server/tests/internal/caching/cachelib_cache_test.py @@ -0,0 +1,62 @@ +""" +Tests for cachelib cache implementation +""" + +from starlette.requests import Headers, Request + +from datajunction_server.internal.caching.cachelib_cache import CachelibCache, get_cache +from datajunction_server.internal.caching.noop_cache import NoOpCache + + +def test_cachelib_cache(): + """ + Test getting, setting, and deleting using the cachelib implementation + """ + cache = CachelibCache() + assert cache.set(key="foo", value="bar", timeout=300) is None + assert cache.get(key="foo") == "bar" + assert cache.delete(key="foo") is None + assert cache.get(key="foo") is None + + +def test_cachelib_cache_nocache_headers(): + """Test cachelib cache with various request headers""" + + # Test with "no-cache" in headers + nocache_request = Request( + { + "type": "http", + "method": "GET", + "path": "/", + "headers": Headers({"Cache-Control": "no-cache"}).raw, + "query_string": b"", + }, + ) + get_cache(nocache_request) + assert isinstance(get_cache(nocache_request), NoOpCache) + + # Test without "no-cache" in headers + request = Request( + { + "type": "http", + "method": "GET", + "path": "/", + "headers": Headers({"Cache-Control": "max-age=3600"}).raw, + "query_string": b"", + }, + ) + get_cache(request) + assert isinstance(get_cache(request), CachelibCache) + + # Test with no headers at all + headerless_request = Request( + { + "type": "http", + "method": "GET", + "path": "/", + "headers": [], + "query_string": b"", + }, + ) + + assert isinstance(get_cache(headerless_request), CachelibCache) diff --git a/datajunction-server/tests/internal/caching/noop_cache_test.py b/datajunction-server/tests/internal/caching/noop_cache_test.py new file mode 100644 index 000000000..00de78efc --- /dev/null +++ b/datajunction-server/tests/internal/caching/noop_cache_test.py @@ -0,0 +1,17 @@ +""" +Tests for noop cache +""" + +from datajunction_server.internal.caching.noop_cache import NoOpCache + + +def test_noop_cache(): + """ + Test getting, setting, and deleting using a NoOpCache implementation + """ + cache = NoOpCache() + assert cache.set(key="foo", value="bar") is None + assert ( + cache.get(key="foo") is None + ) # Returns None because NoOp doesn't actually cache + assert cache.delete(key="foo") is None diff --git a/datajunction-server/tests/internal/caching/query_cache_manager_test.py b/datajunction-server/tests/internal/caching/query_cache_manager_test.py new file mode 100644 index 000000000..a31773744 --- /dev/null +++ b/datajunction-server/tests/internal/caching/query_cache_manager_test.py @@ -0,0 +1,272 @@ +import asyncio +from types import SimpleNamespace +from unittest import mock +from unittest.mock import patch + +from httpx import AsyncClient +import pytest +from fastapi import BackgroundTasks +from starlette.datastructures import Headers +from sqlalchemy.ext.asyncio import AsyncSession +from datajunction_server.internal.caching.cachelib_cache import CachelibCache +from datajunction_server.internal.caching.query_cache_manager import ( + QueryCacheManager, + QueryRequestParams, +) +from datajunction_server.database.queryrequest import QueryBuildType +from datajunction_server.database.user import User, OAuthProvider +from datajunction_server.internal.access.authorization import AccessChecker + + +class DummyRequest: + """ + Fake request for testing. Allows easy setting of Cache-Control variations. + """ + + def __init__(self, cache_control: str | None = None): + headers = {} + if cache_control: + headers["Cache-Control"] = cache_control + self.headers = Headers(headers) + self.method = "GET" + + # Add state with a dummy user for get_current_user + self.state = SimpleNamespace( + user=User( + username="testuser", + email="test@example.com", + oauth_provider=OAuthProvider.BASIC, + ), + ) + + +@pytest.mark.asyncio +async def test_cache_key_prefix_uses_query_type(): + """ + The cache key prefix should include the query type. + """ + cache = CachelibCache() + manager = QueryCacheManager(cache, QueryBuildType.MEASURES) + assert manager.cache_key_prefix == "sql:measures" + + +@pytest.mark.asyncio +async def test_build_cache_key_calls_versioning(): + """ + Should call version_query_request and build the key. + """ + with patch( + "datajunction_server.internal.caching.query_cache_manager.VersionedQueryKey.version_query_request", + return_value="versioned123", + ) as version_query_request_mock: + cache = CachelibCache() + manager = QueryCacheManager(cache, QueryBuildType.MEASURES) + params = QueryRequestParams( + nodes=["foo"], + dimensions=["dim1"], + filters=[], + ) + request = DummyRequest() + key = await manager.build_cache_key(request, params) + + version_query_request_mock.assert_called_once() + assert key.startswith("sql:measures:") + + +@pytest.mark.asyncio +async def test_fallback_calls_get_measures_query(): + """ + Should call get_measures_query with correct args. + """ + mock_access_checker = mock.AsyncMock(spec=AccessChecker) + with ( + patch( + "datajunction_server.internal.caching.query_cache_manager.get_measures_query", + return_value=[{"sql": "SELECT * FROM test"}], + ) as get_measures_query_mock, + patch( + "datajunction_server.internal.caching.query_cache_manager.build_access_checker_from_request", + return_value=mock_access_checker, + ), + ): + cache = CachelibCache() + manager = QueryCacheManager(cache, QueryBuildType.MEASURES) + params = QueryRequestParams( + nodes=["foo"], + dimensions=["dim1"], + filters=[], + ) + request = DummyRequest() + result = await manager.fallback(request, params) + + get_measures_query_mock.assert_called_once() + assert result == [{"sql": "SELECT * FROM test"}] + + +@pytest.mark.asyncio +async def test_get_or_load_respects_cache_control(): + """ + Full flow test to ensure Cache-Control is respected. + """ + mock_access_checker = mock.AsyncMock(spec=AccessChecker) + with ( + patch( + "datajunction_server.internal.caching.query_cache_manager.get_measures_query", + return_value=[{"sql": "SELECT * FROM test"}], + ), + patch( + "datajunction_server.internal.caching.query_cache_manager.VersionedQueryKey.version_query_request", + return_value="versioned123", + ), + patch( + "datajunction_server.internal.caching.query_cache_manager.build_access_checker_from_request", + return_value=mock_access_checker, + ), + ): + cache = CachelibCache() + manager = QueryCacheManager(cache, QueryBuildType.MEASURES) + params = QueryRequestParams( + nodes=["foo"], + dimensions=["dim1"], + filters=[], + ) + + # Put stale value in cache to test hit vs miss + key = await manager.build_cache_key(DummyRequest(), params) + cache.set(key, [{"sql": "CACHED"}]) + + background = BackgroundTasks() + + # `no-cache` => should bypass cache + request = DummyRequest(cache_control="no-cache") + result = await manager.get_or_load(background, request, params) + assert result == [{"sql": "SELECT * FROM test"}] + + # Run tasks, should store + for task in background.tasks: + await task() + assert cache.get(key) == [{"sql": "SELECT * FROM test"}] + + # `no-store` => should hit cache, but not store + cache.set(key, [{"sql": "CACHED"}]) + request = DummyRequest(cache_control="no-store") + result = await manager.get_or_load(background, request, params) + assert result == [{"sql": "CACHED"}] # hits stale + + # `no-cache, no-store` => should always fallback but never store + request = DummyRequest(cache_control="no-cache, no-store") + result = await manager.get_or_load(background, request, params) + assert result == [{"sql": "SELECT * FROM test"}] + cache.get(key) == [{"sql": "CACHED"}] # still stale + + +@pytest.mark.asyncio +async def test_build_cache_key( + module__session: AsyncSession, + module__client_with_roads: AsyncClient, +): + """ + Check that the cache key is built correctly with versioning. + """ + with patch( + "datajunction_server.internal.caching.query_cache_manager.session_context", + return_value=module__session, + ): + cache = CachelibCache() + manager = QueryCacheManager(cache, QueryBuildType.MEASURES) + params1 = QueryRequestParams( + nodes=["default.avg_repair_price", "default.num_repair_orders"], + dimensions=["default.dispatcher.company_name", "default.hard_hat.state"], + filters=["default.hard_hat.state = 'CA'", "default.hard_hat.state = 'NY'"], + engine_name=None, + engine_version=None, + limit=1000, + orderby=[], + other_args=None, + include_all_columns=False, + use_materialized=True, + preaggregate=True, + query_params="{}", + ) + # Shuffled ordering + params2 = QueryRequestParams( + nodes=["default.num_repair_orders", "default.avg_repair_price"], + dimensions=["default.hard_hat.state", "default.dispatcher.company_name"], + filters=["default.hard_hat.state = 'NY'", "default.hard_hat.state = 'CA'"], + engine_name=None, + engine_version=None, + limit=1000, + orderby=[], + other_args=None, + include_all_columns=False, + use_materialized=True, + preaggregate=True, + query_params="{}", + ) + request = DummyRequest() + key1 = await manager.build_cache_key(request, params1) + key2 = await manager.build_cache_key(request, params2) + assert key1.startswith("sql:measures:") + assert key2.startswith("sql:measures:") + assert key1 == key2 + + +@pytest.mark.asyncio +async def test_measures_get_or_load( + module__session: AsyncSession, + module__client_with_roads: AsyncClient, + module__background_tasks, +): + """ + Test measures SQL get_or_load. + """ + with patch( + "datajunction_server.internal.caching.query_cache_manager.session_context", + return_value=module__session, + ): + cache = CachelibCache() + manager = QueryCacheManager(cache, QueryBuildType.MEASURES) + params = QueryRequestParams( + nodes=["default.avg_repair_price", "default.num_repair_orders"], + dimensions=["default.dispatcher.company_name"], + filters=["default.hard_hat.state = 'CA'"], + engine_name=None, + engine_version=None, + limit=None, + orderby=[], + other_args=None, + include_all_columns=False, + use_materialized=True, + preaggregate=True, + query_params="{}", + ) + + # Validate building the cache key + key = await manager.build_cache_key(DummyRequest(), params) + assert key.startswith("sql:measures:") + + background = BackgroundTasks() + + # `no-cache` => should bypass cache + request = DummyRequest(cache_control="no-cache") + expected_result = await manager.get_or_load(background, request, params) + assert expected_result == [mock.ANY] + + # Run tasks, should store + for func, f_args, f_kwargs in module__background_tasks: + result = func(*f_args, **f_kwargs) + if asyncio.iscoroutine(result): + await result + assert cache.get(key) == expected_result + + # `no-store` => should hit cache, but not store + cache.set(key, [{"sql": "CACHED"}]) + request = DummyRequest(cache_control="no-store") + result = await manager.get_or_load(background, request, params) + assert result == [{"sql": "CACHED"}] # hits stale + + # `no-cache, no-store` => should always fallback but never store + request = DummyRequest(cache_control="no-cache, no-store") + result = await manager.get_or_load(background, request, params) + assert result == expected_result + cache.get(key) == [{"sql": "CACHED"}] # still stale diff --git a/datajunction-server/tests/internal/deployment/orchestration_test.py b/datajunction-server/tests/internal/deployment/orchestration_test.py new file mode 100644 index 000000000..dd8e8fe31 --- /dev/null +++ b/datajunction-server/tests/internal/deployment/orchestration_test.py @@ -0,0 +1,729 @@ +""" +Unit tests for DeploymentOrchestrator +""" + +import pytest +from unittest.mock import Mock, AsyncMock, patch, MagicMock + +from datajunction_server.internal.deployment.utils import DeploymentContext +from datajunction_server.internal.deployment.orchestrator import ( + DeploymentOrchestrator, + DeploymentPlan, + ResourceRegistry, + column_changed, +) +from datajunction_server.internal.deployment.validation import ( + NodeValidationResult, +) +from datajunction_server.models.deployment import ( + ColumnSpec, + DeploymentSpec, + PartitionType, + PartitionSpec, + TagSpec, +) +from datajunction_server.models.deployment import ( + SourceSpec, + TransformSpec, + MetricSpec, + CubeSpec, + DeploymentResult, +) +from datajunction_server.database.user import OAuthProvider, User +from datajunction_server.database.tag import Tag +from datajunction_server.database.catalog import Catalog +from datajunction_server.errors import DJError, DJInvalidDeploymentConfig, ErrorCode + + +@pytest.fixture +def mock_deployment_context(current_user: User): + """Mock DeploymentContext with sensible defaults""" + context = Mock() + context.current_user = current_user + context.request = Mock() + context.query_service_client = Mock() + context.background_tasks = Mock() + context.save_history = AsyncMock() + context.cache = Mock() + return context + + +@pytest.fixture +def sample_deployment_spec(): + """Sample deployment specification for testing""" + return DeploymentSpec( + namespace="test", + nodes=[ + SourceSpec( + name="source_node", + display_name="Test Source", + table="table", + catalog="catalog", + schema="schema", + columns=[], + owners=["admin"], + tags=["example"], + ), + TransformSpec( + name="transform_node", + display_name="Test Transform", + query="SELECT * FROM source_node", + owners=["you"], + ), + MetricSpec( + name="metric_node", + display_name="Test Metric", + query="SELECT COUNT(*) FROM transform_node", + owners=["me"], + ), + ], + tags=[ + TagSpec( + name="example", + display_name="Example Tag", + description="An example tag", + ), + ], + ) + + +@pytest.fixture +def orchestrator( + sample_deployment_spec, + session, + current_user, + mock_deployment_context, +): + """Create DeploymentOrchestrator instance for testing""" + mock_context = MagicMock(spec=DeploymentContext) + mock_context.current_user = current_user + return DeploymentOrchestrator( + deployment_spec=sample_deployment_spec, + deployment_id="test-deployment-123", + session=session, + context=mock_context, + ) + + +@pytest.fixture +def mock_registry(): + """Mock ResourceRegistry with sample data""" + registry = ResourceRegistry() + + # Add sample tags + registry.add_tags( + { + "analytics": Mock(spec=Tag, name="analytics", id=1), + "production": Mock(spec=Tag, name="production", id=2), + }, + ) + + # Add sample users/owners + registry.add_owners( + { + "admin": Mock(spec=User, username="admin", id=1), + "analyst": Mock(spec=User, username="analyst", id=2), + }, + ) + + # Add sample catalogs + registry.add_catalogs( + { + "catalog": Mock(spec=Catalog, name="catalog", id=1), + }, + ) + + return registry + + +class TestResourceSetup: + """Test resource setup methods""" + + @pytest.mark.asyncio + async def test_setup_deployment_resources_success(self, orchestrator): + """Test successful deployment resource setup""" + await orchestrator._setup_deployment_resources() + assert orchestrator.registry.tags.keys() == {"example"} + assert orchestrator.registry.owners.keys() == {"you", "me", "admin"} + assert orchestrator.registry.attributes.keys() == { + "primary_key", + "dimension", + "hidden", + } + + @pytest.mark.asyncio + async def test_validate_deployment_resources_with_errors(self, orchestrator): + """Test validation fails when errors exist""" + + # Add some errors to orchestrator + orchestrator.errors.append( + DJError(code=ErrorCode.TAG_NOT_FOUND, message="Tag 'missing' not found"), + ) + + # Should raise DJInvalidDeploymentConfig + with pytest.raises(DJInvalidDeploymentConfig) as exc_info: + await orchestrator._validate_deployment_resources() + + assert "Invalid deployment configuration" in str(exc_info.value) + + +class TestDeploymentPlanning: + """Test deployment planning methods""" + + @pytest.mark.asyncio + async def test_find_namespaces_to_create(self, session, current_user): + """ + Test _find_namespaces_to_create with various node namespaces + """ + deployment_spec = DeploymentSpec( + namespace="some.namespace", + nodes=[ + # Valid node since the namespace prefix will be added + SourceSpec( + name="simple_node", + display_name="Simple Node", + catalog="catalog", + schema="schema", + table="table1", + ), + # Node not under deployment namespace - should add error + SourceSpec( + name="other_team.${prefix}marketing.campaigns", + display_name="Marketing Node", + catalog="catalog", + schema="schema", + table="table2", + ), + # Valid node under deployment namespace - should work normally + SourceSpec( + name="${prefix}random.users.active_users", + display_name="Active Users", + catalog="catalog", + schema="schema", + table="table3", + ), + ], + tags=[], + ) + + context = MagicMock(autospec=DeploymentContext) + context.current_user = current_user + context.save_history = AsyncMock() + orchestrator = DeploymentOrchestrator( + deployment_spec=deployment_spec, + deployment_id="test-deployment", + session=session, + context=context, + ) + result_namespaces = await orchestrator._find_namespaces_to_create() + + # Verify that invalid nodes are skipped + namespace_strings = {ns for ns in result_namespaces} + assert namespace_strings == { + "some.namespace", + "some.namespace.random", + "some.namespace.random.users", + } + + # Verify error added for invalid namespace + assert len(orchestrator.errors) == 1 + error = orchestrator.errors[0] + + assert error.code == ErrorCode.INVALID_NAMESPACE + assert "other_team.some.namespace.marketing.campaigns" in error.message + assert "is not under deployment namespace 'some.namespace'" in error.message + assert error.context == "namespace validation" + + @pytest.mark.asyncio + async def test_setup_tags_missing(self, session, current_user): + """ + Test running _setup_tags with missing tags + """ + # Pre-create one tag in the database + session.add_all( + [ + Tag( + name="updated_existing_tag", + tag_type="system", + display_name="Existing Tag", + description="Existing tag description", + created_by_id=current_user.id, + ), + Tag( + name="not_updated_tag", + tag_type="system", + display_name="Another Tag", + description="Another tag", + created_by_id=current_user.id, + ), + ], + ) + await session.commit() + + deployment_spec = DeploymentSpec( + namespace="some.namespace", + nodes=[ + SourceSpec( + name="simple_node", + display_name="Simple Node", + catalog="catalog", + schema="schema", + table="table1", + tags=["updated_existing_tag", "missing_tag"], + ), + ], + tags=[ + TagSpec( + name="new_tag", + display_name="New Tag", + description="A new tag", + ), + TagSpec( + name="updated_existing_tag", + display_name="Existing Tag", + description="An existing tag", + ), + TagSpec( + name="not_updated_tag", + display_name="Another Tag", + description="Another tag", + tag_type="system", + ), + ], + ) + context = MagicMock(autospec=DeploymentContext) + context.current_user = current_user + context.save_history = AsyncMock() + orchestrator = DeploymentOrchestrator( + deployment_spec=deployment_spec, + deployment_id="test-deployment", + session=session, + context=context, + ) + result_tags = await orchestrator._setup_tags() + assert result_tags.keys() == { + "updated_existing_tag", + "not_updated_tag", + "new_tag", + } + assert len(orchestrator.errors) == 1 + error = orchestrator.errors[0] + assert error.code == ErrorCode.TAG_NOT_FOUND + assert "Tags used by nodes but not defined: missing_tag" in error.message + + @pytest.mark.asyncio + async def test_setup_tags_valid(self, session, current_user): + """ + Test _setup_tags with all valid tags + """ + valid_deployment_spec = DeploymentSpec( + namespace="some.namespace", + nodes=[ + SourceSpec( + name="simple_node", + display_name="Simple Node", + catalog="catalog", + schema="schema", + table="table1", + tags=["new_tag"], + ), + ], + tags=[ + TagSpec( + name="new_tag", + display_name="New Tag", + description="A new tag", + ), + ], + ) + context = MagicMock(autospec=DeploymentContext) + context.current_user = current_user + context.save_history = AsyncMock() + orchestrator = DeploymentOrchestrator( + deployment_spec=valid_deployment_spec, + deployment_id="test-deployment", + session=session, + context=context, + ) + result_tags = await orchestrator._setup_tags() + assert result_tags.keys() == {"new_tag"} + assert len(orchestrator.errors) == 0 + + @pytest.mark.asyncio + async def test_setup_owners_missing(self, session, current_user): + """ + Test _setup_owners with missing owners + """ + valid_deployment_spec = DeploymentSpec( + namespace="some.namespace", + nodes=[ + SourceSpec( + name="simple_node", + display_name="Simple Node", + catalog="catalog", + schema="schema", + table="table1", + owners=["new_owner"], + ), + ], + ) + context = MagicMock(autospec=DeploymentContext) + context.current_user = current_user + context.save_history = AsyncMock() + orchestrator = DeploymentOrchestrator( + deployment_spec=valid_deployment_spec, + deployment_id="test-deployment", + session=session, + context=context, + ) + result_owners = await orchestrator._setup_owners() + assert result_owners.keys() == {"new_owner"} + assert len(orchestrator.errors) == 0 + + @pytest.mark.asyncio + async def test_setup_owners_valid(self, session, current_user): + """ + Test setup owners with existing owners + """ + session.add( + User( + username="new_owner", + email="new_owner@example.com", + oauth_provider=OAuthProvider.BASIC, + ), + ) + await session.commit() + deployment_spec = DeploymentSpec( + namespace="some.namespace", + nodes=[ + SourceSpec( + name="simple_node", + display_name="Simple Node", + catalog="catalog", + schema="schema", + table="table1", + owners=["new_owner"], + ), + ], + ) + context = MagicMock(autospec=DeploymentContext) + context.current_user = current_user + context.save_history = AsyncMock() + orchestrator = DeploymentOrchestrator( + deployment_spec=deployment_spec, + deployment_id="test-deployment", + session=session, + context=context, + ) + result_owners = await orchestrator._setup_owners() + assert result_owners.keys() == {"new_owner"} + assert len(orchestrator.errors) == 0 + + @pytest.mark.asyncio + async def test_setup_catalogs_missing(self, session, current_user): + """ + Test setup catalogs with missing catalogs + """ + deployment_spec = DeploymentSpec( + namespace="some.namespace", + nodes=[ + SourceSpec( + name="simple_node", + display_name="Simple Node", + catalog="catalog", + schema="schema", + table="table1", + ), + ], + ) + context = MagicMock(autospec=DeploymentContext) + context.current_user = current_user + context.save_history = AsyncMock() + orchestrator = DeploymentOrchestrator( + deployment_spec=deployment_spec, + deployment_id="test-deployment", + session=session, + context=context, + ) + result_catalogs = await orchestrator._setup_catalogs() + assert result_catalogs == {} + assert len(orchestrator.errors) == 1 + + +class TestOrchestrationFlow: + """Test end-to-end orchestration flow""" + + @pytest.mark.asyncio + async def test_execute_full_deployment_success(self, orchestrator): + """Test successful end-to-end deployment execution""" + + with ( + patch.object(orchestrator, "_setup_deployment_resources") as mock_setup, + patch.object( + orchestrator, + "_validate_deployment_resources", + ) as mock_validate_resources, + patch.object(orchestrator, "_create_deployment_plan") as mock_create_plan, + patch.object(orchestrator, "_execute_deployment_plan") as mock_execute_plan, + ): + # Configure deployment plan + mock_plan = Mock(spec=DeploymentPlan) + mock_plan.is_empty.return_value = False + mock_create_plan.return_value = mock_plan + + # Execute + await orchestrator.execute() + + # Verify all phases were called in order + mock_setup.assert_called_once() + mock_validate_resources.assert_called_once() + mock_create_plan.assert_called_once() + mock_execute_plan.assert_called_once_with(mock_plan) + + @pytest.mark.asyncio + async def test_execute_empty_deployment(self, orchestrator): + """Test execution with empty deployment (no changes)""" + + with ( + patch.object(orchestrator, "_setup_deployment_resources"), + patch.object(orchestrator, "_validate_deployment_resources"), + patch.object(orchestrator, "_create_deployment_plan") as mock_create_plan, + patch.object(orchestrator, "_handle_no_changes") as mock_handle_no_changes, + ): + # Configure empty deployment plan + mock_plan = Mock(spec=DeploymentPlan) + mock_plan.is_empty.return_value = True + mock_create_plan.return_value = mock_plan + + mock_handle_no_changes.return_value = [] + + # Execute + await orchestrator.execute() + + # Should handle no changes + mock_handle_no_changes.assert_called_once() + + @pytest.mark.asyncio + async def test_execute_with_validation_errors(self, orchestrator): + """Test execution when validation errors exist""" + + with ( + patch.object(orchestrator, "_setup_deployment_resources"), + patch.object( + orchestrator, + "_validate_deployment_resources", + ) as mock_validate, + ): + # Configure validation to raise error + mock_validate.side_effect = DJInvalidDeploymentConfig( + message="Invalid config", + errors=[], + warnings=[], + ) + + # Should raise DJInvalidDeploymentConfig + with pytest.raises(DJInvalidDeploymentConfig): + await orchestrator.execute() + + +class TestColumnChanged: + """Test suite for column_changed function""" + + def test_column_unchanged_identical_fields(self): + """Test when column has no changes""" + from datajunction_server.database.column import Column + + # Test mismatch description + existing_col = Column( + name="test_col", + display_name="Test Column", + description="A test column", + type="int", + ) + desired_spec = ColumnSpec( + name="test_col", + type="int", + display_name="Test Column", + description="A test column11", + attributes=["dimension"], + ) + result = column_changed(desired_spec, existing_col) + assert result is True + + # Test mismatch partition + existing_col = Column( + name="test_col", + display_name="Test Column", + description="A test column", + type="int", + ) + desired_spec = ColumnSpec( + name="test_col", + type="int", + display_name="Test Column", + description="A test column", + partition=PartitionSpec(type=PartitionType.TEMPORAL), + ) + result = column_changed(desired_spec, existing_col) + assert result is True + + # Test mismatch attributes + existing_col = Column( + name="test_col", + display_name="Test Column", + description="A test column", + type="int", + ) + desired_spec = ColumnSpec( + name="test_col", + type="int", + display_name="Test Column", + description="A test column", + attributes=["dimension"], + ) + result = column_changed(desired_spec, existing_col) + assert result is True + + # Test match + existing_col = Column( + name="test_col", + display_name="Test Column", + description="A test column", + type="int", + ) + desired_spec = ColumnSpec( + name="test_col", + display_name="Test Column", + description="A test column", + type="int", + ) + result = column_changed(desired_spec, existing_col) + assert result is False + + +class TestCubeDeployment: + """Test suite for cube deployment functionality""" + + @pytest.fixture + def sample_cube_specs(self): + """Sample cube specifications for testing""" + return [ + CubeSpec( + name="test_cube_1", + node_type="cube", + metrics=["metric1", "metric2"], + dimensions=["dim1.attr1", "dim2.attr2"], + namespace="test", + ), + CubeSpec( + name="test_cube_2", + node_type="cube", + metrics=["metric2", "metric3"], + dimensions=["dim1.attr1", "dim3.attr3"], + namespace="test", + ), + ] + + @pytest.fixture + def cube_deployment_plan(self, sample_cube_specs): + """Deployment plan with cube specs""" + return DeploymentPlan( + to_deploy=sample_cube_specs, + to_delete=[], + to_skip=[], + existing_specs={}, + node_graph={}, + external_deps=set(), + ) + + @pytest.mark.asyncio + async def test_deploy_cubes_filters_non_cubes(self, orchestrator): + """Test that _deploy_cubes only processes CubeSpec nodes""" + plan = DeploymentPlan( + to_deploy=[ + MetricSpec(name="metric1", node_type="metric", query="SELECT 1"), + # No cube specs + ], + to_delete=[], + to_skip=[], + existing_specs={}, + node_graph={}, + external_deps=set(), + ) + + result = await orchestrator._deploy_cubes(plan) + + assert result == [] + + @pytest.mark.asyncio + async def test_bulk_validate_cubes_all_valid( + self, + orchestrator, + sample_cube_specs, + ): + """Test bulk validation with all dependencies available""" + result = await orchestrator._bulk_validate_cubes(sample_cube_specs) + + # Verify all cubes are processed (valid or invalid depending on implementation) + assert len(result) == 2 + + @pytest.mark.asyncio + async def test_bulk_validate_cubes_missing_dependencies( + self, + orchestrator, + sample_cube_specs, + ): + """Test bulk validation with missing dependencies""" + result = await orchestrator._bulk_validate_cubes(sample_cube_specs) + + # Should still return results for all cubes (some will be invalid) + assert len(result) == 2 + + # At least one cube should be invalid due to missing deps + invalid_results = [r for r in result if r.status == "invalid"] + assert len(invalid_results) > 0 + + # Invalid cubes should have error messages about missing dependencies + for invalid_result in invalid_results: + assert len(invalid_result.errors) > 0 + error_messages = " ".join(err.message for err in invalid_result.errors) + assert "One or more metrics not found for cube" in error_messages + assert "One or more dimensions not found for cube" in error_messages + + @pytest.mark.asyncio + async def test_create_cubes_from_validation_invalid_cubes(self, orchestrator): + """Test creating cubes when validation results contain invalid cubes""" + invalid_results = [ + NodeValidationResult( + spec=CubeSpec( + name="invalid_cube", + node_type="cube", + metrics=[], + dimensions=[], + ), + status="invalid", + inferred_columns=[], + errors=[DJError(code=ErrorCode.INVALID_CUBE, message="Invalid cube")], + dependencies=[], + ), + ] + + # Mock invalid node processing + orchestrator._process_invalid_node_deploy = Mock( + return_value=DeploymentResult( + name="invalid_cube", + deploy_type="node", + status="failed", + operation="create", + message="Invalid cube", + ), + ) + + nodes, revisions, results = await orchestrator._create_cubes_from_validation( + invalid_results, + ) + + assert len(nodes) == 0 + assert len(revisions) == 0 + assert len(results) == 1 + assert results[0].status == "failed" diff --git a/datajunction-server/tests/internal/deployment/validation_test.py b/datajunction-server/tests/internal/deployment/validation_test.py new file mode 100644 index 000000000..d1fe05384 --- /dev/null +++ b/datajunction-server/tests/internal/deployment/validation_test.py @@ -0,0 +1,292 @@ +""" +Tests for validate_query_node exception handling with real objects +""" + +import pytest +import pytest_asyncio +from sqlalchemy.ext.asyncio import AsyncSession +from unittest.mock import patch + +from datajunction_server.internal.deployment.validation import ( + NodeSpecBulkValidator, + ValidationContext, +) +from datajunction_server.models.deployment import ColumnSpec, TransformSpec, MetricSpec +from datajunction_server.models.node import NodeType, NodeStatus +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User, OAuthProvider +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.column import Column +from datajunction_server.sql.parsing.backends.antlr4 import ast, parse +from datajunction_server.sql.parsing.types import IntegerType, StringType +from datajunction_server.errors import ErrorCode + + +class TestValidateQuery: + """Test validate_query_node exception handling with real database objects""" + + @pytest_asyncio.fixture + async def user(self, session: AsyncSession) -> User: + """Create a test user""" + user = User( + username="testuser", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.commit() + return user + + @pytest_asyncio.fixture + async def catalog(self, session: AsyncSession) -> Catalog: + """Create a test catalog""" + catalog = Catalog( + name="test_catalog", + engines=[], + ) + session.add(catalog) + await session.commit() + return catalog + + @pytest_asyncio.fixture + async def parent_node( + self, + session: AsyncSession, + user: User, + catalog: Catalog, + ) -> Node: + """Create a parent source node for dependencies""" + node = Node( + name="test.parent", + type=NodeType.SOURCE, + current_version="v1", + created_by_id=user.id, + ) + node_revision = NodeRevision( + node=node, + name=node.name, + catalog_id=catalog.id, + type=node.type, + version="v1", + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="name", type=StringType(), order=1), + Column(name="value", type=IntegerType(), order=2), + ], + created_by_id=user.id, + ) + node.current = node_revision + session.add(node_revision) + await session.commit() + return node + + @pytest_asyncio.fixture + async def validation_context( + self, + session: AsyncSession, + parent_node: Node, + ) -> ValidationContext: + """Create a real ValidationContext with actual dependencies""" + + # Create a real compile context + compile_context = ast.CompileContext( + session=session, + exception=ast.DJException(), + dependencies_cache={parent_node.name: parent_node}, + ) + + return ValidationContext( + session=session, + node_graph={"test.transform": ["test.parent"]}, + dependency_nodes={parent_node.name: parent_node}, + compile_context=compile_context, + ) + + @pytest.fixture + def transform_spec(self) -> TransformSpec: + """Create a test transform spec""" + return TransformSpec( + name="transform", + query="SELECT id, name FROM test.parent", + description="A test transform", + mode="published", + ) + + @pytest.fixture + def metric_spec(self) -> MetricSpec: + """Create a test metric spec that will cause parsing issues""" + return MetricSpec( + name="metric", + query="SELECT COUNT(*) FROM test.parent", + description="A test metric", + mode="published", + required_dimensions=[ + "test.parent.id", + ], # This could cause validation issues + ) + + @pytest.mark.asyncio + async def test_validate_query_node_parse_exception( + self, + validation_context: ValidationContext, + transform_spec: TransformSpec, + ): + """Test exception when parsing fails due to malformed SQL""" + bad_spec = TransformSpec( + name="bad_transform", + query="SELECT 1a FROM some_table", # Invalid SQL + description="Bad transform", + mode="published", + primary_key=["id"], # To avoid primary key inference issues + ) + parsed_ast = parse(bad_spec.query) + validator = NodeSpecBulkValidator(validation_context) + result = await validator.validate_query_node(bad_spec, parsed_ast) + assert result.spec == bad_spec + assert result.status == NodeStatus.INVALID + assert result.inferred_columns == [ColumnSpec(name="1a", type="unknown")] + assert len(result.errors) == 1 + assert result.errors[0].code == ErrorCode.INVALID_SQL_QUERY + + @pytest.mark.asyncio + async def test_validate_query_node_later_exception( + self, + validation_context: ValidationContext, + transform_spec: TransformSpec, + ): + """ + Test exception during later validation steps with real AST + """ + parsed_ast = parse("SELECT 1a FROM some_table") + validator = NodeSpecBulkValidator(validation_context) + # mock _check_inferred_columns to raise an exception + with patch.object( + validator, + "_check_inferred_columns", + side_effect=ValueError("Column inference failed"), + ): + result = await validator.validate_query_node(transform_spec, parsed_ast) + assert result.status == NodeStatus.INVALID + assert len(result.errors) == 1 + assert result.errors[0].code == ErrorCode.INVALID_SQL_QUERY + + @pytest.mark.asyncio + async def test_validate_query_node_dependency_extraction_failure( + self, + validation_context: ValidationContext, + transform_spec: TransformSpec, + ): + """Test exception during dependency extraction with real AST""" + + # Parse a valid query + parsed_ast = parse(transform_spec.query) + + # Mock the compile context to throw during extraction + with patch.object( + validation_context.compile_context, + "exception", + side_effect=Exception("Dependency extraction failed"), + ): + # Patch extract_dependencies to throw + with patch.object( + parsed_ast.bake_ctes(), + "extract_dependencies", + side_effect=Exception("Dependency extraction failed"), + ): + validator = NodeSpecBulkValidator(validation_context) + + # This should hit the exception handler + result = await validator.validate_query_node(transform_spec, parsed_ast) + + # Verify proper error handling + assert result.status == NodeStatus.INVALID + assert len(result.errors) == 1 + assert result.errors[0].code == ErrorCode.INVALID_SQL_QUERY + assert "Dependency extraction failed" in result.errors[0].message + + @pytest.mark.asyncio + async def test_validate_query_node_column_inference_failure( + self, + validation_context: ValidationContext, + transform_spec: TransformSpec, + ): + """Test exception during column inference with real objects""" + + # Parse a valid query + parsed_ast = parse(transform_spec.query) + + # Create validator and patch _infer_columns to fail + validator = NodeSpecBulkValidator(validation_context) + + with patch.object( + validator, + "_infer_columns", + side_effect=AttributeError("Column inference failed - missing attribute"), + ): + # This should hit the exception handler + result = await validator.validate_query_node(transform_spec, parsed_ast) + + # Verify the exception was caught and handled + assert result.status == NodeStatus.INVALID + assert len(result.errors) == 1 + assert result.errors[0].code == ErrorCode.INVALID_SQL_QUERY + assert "Column inference failed" in result.errors[0].message + + @pytest.mark.asyncio + async def test_validate_query_node_metric_validation_exception( + self, + validation_context: ValidationContext, + metric_spec: MetricSpec, + ): + """Test exception during metric-specific validation""" + + # Parse the metric query + parsed_ast = parse(metric_spec.query) + + # Create validator and patch metric validation to fail + validator = NodeSpecBulkValidator(validation_context) + + with patch.object( + validator, + "_check_metric_query", + side_effect=ValueError("Metric validation failed"), + ): + # This should hit the exception handler + result = await validator.validate_query_node(metric_spec, parsed_ast) + + # Verify proper error handling + assert result.status == NodeStatus.INVALID + assert len(result.errors) == 1 + assert result.errors[0].code == ErrorCode.INVALID_SQL_QUERY + assert "Metric validation failed" in result.errors[0].message + + @pytest.mark.asyncio + async def test_validate_query_node_successful_path_for_comparison( + self, + validation_context: ValidationContext, + transform_spec: TransformSpec, + ): + """Test the successful path to ensure our exception tests are meaningful""" + + # Parse a valid query + parsed_ast = parse(transform_spec.query) + + # Create validator + validator = NodeSpecBulkValidator(validation_context) + + # This should succeed (not hit exception handler) + result = await validator.validate_query_node(transform_spec, parsed_ast) + + # Verify success (this ensures our exception tests are testing real failures) + assert result.status in [ + NodeStatus.VALID, + NodeStatus.INVALID, + ] # Could be invalid for other reasons + assert result.spec == transform_spec + # If it failed, it should be due to validation logic, not exceptions + if result.status == NodeStatus.INVALID: + # Should have specific validation errors, not generic exception errors + for error in result.errors: + assert ( + error.code != ErrorCode.INVALID_SQL_QUERY + or "No columns could be inferred" in error.message + ) diff --git a/datajunction-server/tests/internal/deployment_test.py b/datajunction-server/tests/internal/deployment_test.py new file mode 100644 index 000000000..5a5074e06 --- /dev/null +++ b/datajunction-server/tests/internal/deployment_test.py @@ -0,0 +1,640 @@ +from contextlib import asynccontextmanager +import random +from typing import AsyncGenerator +from unittest.mock import MagicMock +from uuid import uuid4 +import pytest_asyncio +from datajunction_server.api.attributes import default_attribute_types +from datajunction_server.database.column import Column +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.sql.parsing.types import IntegerType, StringType +from datajunction_server.database.user import User + +from datajunction_server.models.node_type import NodeType +from datajunction_server.internal.deployment.orchestrator import ( + DeploymentOrchestrator, + DeploymentSpec, +) +from datajunction_server.internal.deployment.utils import ( + DeploymentContext, + extract_node_graph, + topological_levels, + _find_upstreams_for_node, +) +from datajunction_server.models.deployment import ( + DeploymentResult, + NodeSpec, + TransformSpec, + SourceSpec, + MetricSpec, + DimensionSpec, + CubeSpec, +) +from sqlalchemy.ext.asyncio import AsyncSession +from datajunction_server.errors import ( + DJGraphCycleException, + DJInvalidDeploymentConfig, +) +from datajunction_server.database.node import Node +from datajunction_server.models.node import ( + NodeType, +) +import pytest + + +@pytest.fixture +def basic_nodes(): + """ + A basic set of nodes for testing + """ + transform_node = TransformSpec( + name="example.transform_node", + node_type=NodeType.TRANSFORM, + query="SELECT id, name FROM ${prefix}catalog.facts.clicks", + ) + source_node = SourceSpec( + name="catalog.facts.clicks", + node_type=NodeType.SOURCE, + catalog="catalog", + schema="facts", + table="clicks", + ) + metric_node = MetricSpec( + name="example.metric_node", + node_type=NodeType.METRIC, + query="SELECT SUM(value) FROM ${prefix}example.transform_node", + ) + dimension_node = DimensionSpec( + name="example.dimension_node", + node_type=NodeType.DIMENSION, + query="SELECT id, category FROM catalog.dim.categories", + primary_key=["id"], + ) + cube_node = CubeSpec( + name="example.cube_node", + node_type=NodeType.CUBE, + metrics=["${prefix}example.metric_node"], + dimensions=["${prefix}example.dimension_node.category"], + ) + return [transform_node, source_node, metric_node, dimension_node, cube_node] + + +def test_extract_node_graph(basic_nodes): + dag = extract_node_graph(basic_nodes) + assert dag == { + "catalog.facts.clicks": [], + "example.cube_node": [ + "example.metric_node", + "example.dimension_node", + ], + "example.dimension_node": [ + "catalog.dim.categories", + ], + "example.transform_node": ["catalog.facts.clicks"], + "example.metric_node": ["example.transform_node"], + } + + +def test_graph_complex(): + # Base source nodes + clicks = SourceSpec( + name="catalog.facts.clicks", + node_type=NodeType.SOURCE, + catalog="catalog", + schema="facts", + table="clicks", + ) + users = SourceSpec( + name="catalog.dim.users", + node_type=NodeType.SOURCE, + catalog="catalog", + schema="dim", + table="users", + ) + + # Transform nodes + transform_clicks = TransformSpec( + name="example.transform_clicks", + node_type=NodeType.TRANSFORM, + query="SELECT id, user_id FROM catalog.facts.clicks", + ) + transform_users = TransformSpec( + name="example.transform_users", + node_type=NodeType.TRANSFORM, + query="SELECT id, country FROM catalog.dim.users", + ) + combined_transform = TransformSpec( + name="example.combined_transform", + node_type=NodeType.TRANSFORM, + query=""" + SELECT c.id, c.user_id, u.country + FROM example.transform_clicks c + JOIN example.transform_users u ON c.user_id = u.id + """, + ) + + # Metric nodes + metric_total = MetricSpec( + name="example.metric_total", + node_type=NodeType.METRIC, + query="SELECT SUM(amount) FROM example.combined_transform", + ) + metric_per_country = MetricSpec( + name="example.metric_per_country", + node_type=NodeType.METRIC, + query="SELECT country, SUM(amount) FROM example.combined_transform GROUP BY country", + ) + + nodes = [ + clicks, + users, + transform_clicks, + transform_users, + combined_transform, + metric_total, + metric_per_country, + ] + + dag = extract_node_graph(nodes) + + expected_dag = { + "catalog.dim.users": [], + "catalog.facts.clicks": [], + "example.transform_clicks": ["catalog.facts.clicks"], + "example.transform_users": ["catalog.dim.users"], + "example.combined_transform": [ + "example.transform_clicks", + "example.transform_users", + ], + "example.metric_total": ["example.combined_transform"], + "example.metric_per_country": ["example.combined_transform"], + } + + assert dag == expected_dag + assert topological_levels(dag) == [ + [ + "example.metric_per_country", + "example.metric_total", + ], + [ + "example.combined_transform", + ], + [ + "example.transform_clicks", + "example.transform_users", + ], + [ + "catalog.dim.users", + "catalog.facts.clicks", + ], + ] + + +def test_topological_levels(basic_nodes): + dag = extract_node_graph(basic_nodes) + + assert topological_levels(dag) == [ + ["example.cube_node"], + ["example.dimension_node", "example.metric_node"], + ["catalog.dim.categories", "example.transform_node"], + ["catalog.facts.clicks"], + ] + assert topological_levels(dag, ascending=False) == [ + ["catalog.facts.clicks"], + ["catalog.dim.categories", "example.transform_node"], + ["example.dimension_node", "example.metric_node"], + ["example.cube_node"], + ] + + dag["catalog.facts.clicks"].append("example.cube_node") + with pytest.raises(DJGraphCycleException): + topological_levels(dag) + + +def generate_random_dag(num_nodes: int = 10, max_deps: int = 3): + """ + Generate a random DAG of nodes for testing extract_node_graph. + """ + nodes: list[NodeSpec] = [] + + for i in range(num_nodes): + node_type = random.choice( + [NodeType.SOURCE, NodeType.TRANSFORM, NodeType.METRIC, NodeType.DIMENSION], + ) + name = f"node_{i}" + # dependencies can only point to previous nodes to avoid cycles + possible_deps = [n.name for n in nodes] + num_deps = random.randint(0, min(max_deps, len(possible_deps))) + deps = random.sample(possible_deps, num_deps) if possible_deps else [] + + if node_type == NodeType.SOURCE: + nodes.append(SourceSpec(name=name, node_type=node_type, table=f"table_{i}")) + else: + # build query referencing dependencies (simplified) + if deps: + query = f"SELECT 1 AS col, 2 AS col2 FROM {deps[0]}" # reference first dep as table + if len(deps) > 1: + query += "".join( + f" JOIN {dep} ON 1=1" for dep in deps[1:] + ) # join others + else: + query = "SELECT 1 AS dummy" # no dependencies + if node_type == NodeType.TRANSFORM: + nodes.append(TransformSpec(name=name, node_type=node_type, query=query)) + elif node_type == NodeType.METRIC: + nodes.append(MetricSpec(name=name, node_type=node_type, query=query)) + elif node_type == NodeType.DIMENSION: + nodes.append( + DimensionSpec( + name=name, + node_type=node_type, + query=query, + primary_key=["col"], + ), + ) + + return nodes + + +@pytest.mark.skip(reason="For stress testing with a large random DAG") +def test_random_dag(): + nodes = generate_random_dag(num_nodes=1000, max_deps=30) + dag = extract_node_graph(nodes) + + # sanity checks + for node in nodes: + assert ( # sources may have no deps + node.name in dag or node.node_type == NodeType.SOURCE + ) + if node.name in dag: + for dep in dag[node.name]: + assert dep in [n.name for n in nodes] # all deps are within nodes + + +@pytest_asyncio.fixture +async def catalog(session: AsyncSession) -> Catalog: + """ + A database fixture. + """ + + catalog = Catalog(name="prod", uuid=uuid4()) + session.add(catalog) + await session.commit() + return catalog + + +@asynccontextmanager +async def external_source_node( + session: AsyncSession, + current_user: User, + catalog: Catalog, +) -> AsyncGenerator[Node, None]: + """ + A source node fixture. + """ + node = Node( + name="catalog.dim.categories", + type=NodeType.SOURCE, + current_version="v1.0", + created_by_id=current_user.id, + ) + node_revision = NodeRevision( + node=node, + name=node.name, + catalog_id=catalog.id, + schema_="public", + table="categories", + type=node.type, + version="v1.0", + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="name", type=StringType(), order=1), + ], + created_by_id=current_user.id, + ) + session.add(node_revision) + await session.commit() + yield node + + +def create_orchestrator( + session: AsyncSession, + current_user: User, + nodes: list[NodeSpec], +) -> DeploymentOrchestrator: + """ + Create a deployment orchestrator for testing. + """ + context = MagicMock(autospec=DeploymentContext) + context.current_user = current_user + context.save_history = mock_save_history + deployment_spec = DeploymentSpec( + namespace="example", + nodes=nodes, + tags=[], + ) + return DeploymentOrchestrator( + deployment_spec=deployment_spec, + deployment_id="test-deployment", + session=session, + context=context, + ) + + +async def test_check_external_dependencies( + session: AsyncSession, + basic_nodes: list[NodeSpec], + current_user: User, + catalog: Catalog, +): + """ + If a dependency is not in the deployment DAG but does already exist in the + system, check_external_deps should return it without raising. + """ + # No external dependencies + valid_nodes = [ + node_spec + for node_spec in basic_nodes + if node_spec.name not in ("example.dimension_node", "example.cube_node") + ] + orchestrator = create_orchestrator(session, current_user, valid_nodes) + node_graph = extract_node_graph(valid_nodes) + external_deps = await orchestrator.check_external_deps(node_graph) + assert external_deps == set() + + # One external dependency that doesn't exist yet + nodes = [ + node_spec for node_spec in basic_nodes if node_spec.name != "example.cube_node" + ] + orchestrator = create_orchestrator(session, current_user, nodes) + node_graph = extract_node_graph(nodes) + with pytest.raises(DJInvalidDeploymentConfig) as excinfo: + await orchestrator.check_external_deps(node_graph) + assert ( + str(excinfo.value) + == "The following dependencies are not in the deployment and do not pre-exist in the system: catalog.dim.categories" + ) + + # External dependency exists in the system + async with external_source_node(session, current_user, catalog) as _: + orchestrator = create_orchestrator(session, current_user, basic_nodes) + node_graph = extract_node_graph(basic_nodes) + external_deps = await orchestrator.check_external_deps(node_graph) + assert external_deps == {"catalog.dim.categories"} + + +async def mock_save_history(event, session): + return + + +@pytest_asyncio.fixture +async def categories(session: AsyncSession, catalog: Catalog, current_user: User): + node = Node( + name="catalog.dim.categories", + type=NodeType.DIMENSION, + current_version="v1.0", + created_by_id=current_user.id, + ) + node_revision = NodeRevision( + node=node, + name=node.name, + type=node.type, + catalog_id=catalog.id, + version="v1.0", + columns=[ + Column( + name="id", + type=IntegerType(), + attributes=[], + order=0, + ), + Column(name="name", type=StringType(), attributes=[], order=1), + Column(name="dateint", type=IntegerType(), attributes=[], order=2), + ], + query="SELECT 1 AS id, 'some' AS name, 20250101 AS dateint", + created_by_id=current_user.id, + ) + session.add(node_revision) + await session.commit() + return node + + +@pytest_asyncio.fixture +async def date(session: AsyncSession, catalog: Catalog, current_user: User) -> Node: + node = Node( + name="catalog.dim.date", + type=NodeType.DIMENSION, + current_version="v1.0", + created_by_id=current_user.id, + ) + node_revision = NodeRevision( + node=node, + name=node.name, + type=node.type, + catalog_id=catalog.id, + version="v1.0", + columns=[ + Column( + name="dateint", + type=IntegerType(), + attributes=[], + order=0, + ), + Column(name="month", type=IntegerType(), attributes=[], order=1), + ], + query="SELECT 20250101 AS dateint, 1 AS month", + created_by_id=current_user.id, + ) + session.add(node_revision) + await session.commit() + return node + + +async def test_deploy_delete_node_success( + session: AsyncSession, + current_user: User, + categories: Node, +): + await default_attribute_types(session) + orchestrator = create_orchestrator(session, current_user, []) + result = await orchestrator._deploy_delete_node(categories.name) + assert result == DeploymentResult( + name="catalog.dim.categories", + deploy_type=DeploymentResult.Type.NODE, + status=DeploymentResult.Status.SUCCESS, + operation=DeploymentResult.Operation.DELETE, + message="Node catalog.dim.categories has been removed.", + ) + assert await Node.get_by_name(session, categories.name) is None + + +async def test_deploy_delete_node_failure( + session: AsyncSession, + current_user: User, + categories: Node, +): + await default_attribute_types(session) + orchestrator = create_orchestrator(session, current_user, []) + result = await orchestrator._deploy_delete_node(categories.name + "bogus") + assert result == DeploymentResult( + name="catalog.dim.categoriesbogus", + deploy_type=DeploymentResult.Type.NODE, + status=DeploymentResult.Status.FAILED, + operation=DeploymentResult.Operation.DELETE, + message="A node with name `catalog.dim.categoriesbogus` does not exist.", + ) + + +def test_find_upstreams_for_derived_metric(): + """ + Test that derived metrics (metrics with no FROM clause referencing other metrics) + correctly extract their dependencies from column references. + """ + # Derived metric that references two other metrics + derived_metric = MetricSpec( + name="example.derived_ratio", + node_type=NodeType.METRIC, + query="SELECT example.metric_a / example.metric_b", + ) + name, upstreams = _find_upstreams_for_node(derived_metric) + assert name == "example.derived_ratio" + # Should extract both the full metric reference and the parent namespace + assert "example.metric_a" in upstreams + assert "example.metric_b" in upstreams + + # Derived metric with dimension attribute reference + derived_with_dim = MetricSpec( + name="example.filtered_metric", + node_type=NodeType.METRIC, + query="SELECT ns.other_metric * ns.dimension.column_value", + ) + name, upstreams = _find_upstreams_for_node(derived_with_dim) + assert name == "example.filtered_metric" + # Should include both the full column reference and the parent (dimension node) + assert "ns.other_metric" in upstreams + assert "ns.dimension.column_value" in upstreams + assert "ns.dimension" in upstreams + + +async def test_duplicate_nodes_in_deployment_spec( + session: AsyncSession, + current_user: User, +): + """ + Test that duplicate node names in the deployment spec are detected early + and reported as an error. + """ + # Create duplicate nodes with same name + node1 = TransformSpec( + name="example.duplicate_node", + node_type=NodeType.TRANSFORM, + query="SELECT 1 AS col", + ) + node2 = TransformSpec( + name="example.duplicate_node", + node_type=NodeType.TRANSFORM, + query="SELECT 2 AS col", + ) + node3 = TransformSpec( + name="example.another_duplicate", + node_type=NodeType.TRANSFORM, + query="SELECT 3 AS col", + ) + node4 = TransformSpec( + name="example.another_duplicate", + node_type=NodeType.TRANSFORM, + query="SELECT 4 AS col", + ) + + orchestrator = create_orchestrator( + session, + current_user, + [node1, node2, node3, node4], + ) + with pytest.raises(DJInvalidDeploymentConfig) as excinfo: + await orchestrator._validate_deployment_resources() + + error_message = str(excinfo.value) + assert "example.another_duplicate" in error_message + assert "example.duplicate_node" in error_message + + +async def test_check_external_deps_dimension_attribute_reference( + session: AsyncSession, + current_user: User, + catalog: Catalog, + categories: Node, +): + """ + Test that dimension.column references are correctly handled in external dependency checks. + The check should not fail when we reference dimension.column but the dimension node exists. + """ + # Create a metric that references a dimension attribute (categories.dateint) + metric_with_dim_attr = MetricSpec( + name="example.metric_with_dim_attr", + node_type=NodeType.METRIC, + # This derived metric references a dimension attribute + query="SELECT catalog.dim.categories.dateint", + ) + + orchestrator = create_orchestrator( + session, + current_user, + [metric_with_dim_attr], + ) + node_graph = extract_node_graph([metric_with_dim_attr]) + + # Should not raise because catalog.dim.categories exists + external_deps = await orchestrator.check_external_deps(node_graph) + # The dimension node should be in external deps (not the attribute) + assert "catalog.dim.categories" in external_deps + + +async def test_check_external_deps_namespace_prefix_filtering( + session: AsyncSession, + current_user: User, + catalog: Catalog, + categories: Node, +): + """ + Test that namespace prefixes in external dependencies are filtered correctly. + When a derived metric references ns.metric_a, and we extract both ns.metric_a + and ns as potential deps, 'ns' should be filtered if it matches the deployment + namespace or if there are found nodes that start with 'ns.'. + """ + # Create a metric that references catalog.dim.categories (which exists) + # The derived metric extraction will add both the full path and the parent + metric = MetricSpec( + name="test.metric", + node_type=NodeType.METRIC, + query="SELECT catalog.dim.categories.dateint * 2", + ) + + orchestrator = create_orchestrator(session, current_user, [metric]) + node_graph = extract_node_graph([metric]) + + # The node_graph will have deps like catalog.dim.categories.dateint and catalog.dim.categories + # check_external_deps should handle this correctly - categories exists, so the attribute + # reference should be filtered out + external_deps = await orchestrator.check_external_deps(node_graph) + # catalog.dim.categories should be in external deps (the actual node) + assert "catalog.dim.categories" in external_deps + + +async def test_virtual_catalog_fallback_for_parentless_nodes( + session: AsyncSession, + current_user: User, +): + """ + Test that the virtual catalog exists and can be retrieved for nodes + without parents (e.g., hardcoded dimensions). + """ + await default_attribute_types(session) + + # Ensure virtual catalog exists and can be retrieved + virtual_catalog = await Catalog.get_virtual_catalog(session) + assert virtual_catalog is not None + # The catalog should have a valid name (configured in settings) + assert virtual_catalog.name is not None + assert len(virtual_catalog.name) > 0 diff --git a/datajunction-server/tests/internal/nodes/update_nodes_test.py b/datajunction-server/tests/internal/nodes/update_nodes_test.py new file mode 100644 index 000000000..e4f00297d --- /dev/null +++ b/datajunction-server/tests/internal/nodes/update_nodes_test.py @@ -0,0 +1,209 @@ +import pytest +import pytest_asyncio +from sqlalchemy import select + +from datajunction_server.database.node import Node, NodeType, NodeRevision, Column +from datajunction_server.database.user import OAuthProvider, User +from datajunction_server.database.history import History +from datajunction_server.errors import DJDoesNotExistException +from datajunction_server.api.helpers import get_save_history +from datajunction_server.internal.nodes import update_owners +from sqlalchemy.ext.asyncio import AsyncSession + +import datajunction_server.sql.parsing.types as ct + + +@pytest_asyncio.fixture +async def user(session: AsyncSession) -> User: + """ + A user fixture. + """ + user = User( + username="testuser", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.commit() + return user + + +@pytest_asyncio.fixture +async def another_user(session: AsyncSession) -> User: + """ + Another user fixture. + """ + user = User( + username="anotheruser", + oauth_provider=OAuthProvider.BASIC, + ) + session.add(user) + await session.commit() + return user + + +@pytest_asyncio.fixture +async def transform_node(session: AsyncSession, user: User) -> Node: + """ + A transform node fixture. + """ + node = Node( + name="basic.users", + type=NodeType.TRANSFORM, + current_version="v1", + display_name="Users Transform", + created_by_id=user.id, + ) + node_revision = NodeRevision( + node=node, + name=node.name, + type=node.type, + version="v1", + query="SELECT user_id, username FROM users", + columns=[ + Column(name="user_id", display_name="ID", type=ct.IntegerType()), + Column(name="username", type=ct.StringType()), + ], + created_by_id=user.id, + ) + session.add_all([node, node_revision]) + await session.commit() + return node + + +@pytest.mark.asyncio +async def test_update_node_owners( + session: AsyncSession, + user: User, + another_user: User, + transform_node: Node, +): + await session.refresh(transform_node, ["owners"]) + transform_node.owners = [user] + session.add(transform_node) + await session.commit() + + # Change the owner to another_user + await update_owners( + session=session, + node=transform_node, + new_owner_usernames=[another_user.username], + current_user=user, + save_history=(await get_save_history(notify=lambda event: None)), + ) + + # Refresh node and check updated owners + await session.refresh(transform_node, ["owners"]) + owner_usernames = {owner.username for owner in transform_node.owners} + assert owner_usernames == {another_user.username} + + # Check history was recorded + history_entries = await session.execute( + select(History).where(History.node == transform_node.name), + ) + history = history_entries.scalars().all() + assert any( + "old_owners" in h.details and h.details["old_owners"] == [user.username] + for h in history + ) + assert any( + "new_owners" in h.details and another_user.username in h.details["new_owners"] + for h in history + ) + + +@pytest.mark.asyncio +async def test_update_node_owners_multiple_owners( + session: AsyncSession, + user: User, + another_user: User, + transform_node: Node, +): + await session.refresh(transform_node, ["owners"]) + transform_node.owners = [user] + await session.commit() + + # Add multiple owners + await update_owners( + session=session, + node=transform_node, + new_owner_usernames=[user.username, another_user.username], + current_user=user, + save_history=(await get_save_history(notify=lambda event: None)), + ) + await session.refresh(transform_node, ["owners"]) + usernames = {owner.username for owner in transform_node.owners} + assert usernames == {user.username, another_user.username} + + +@pytest.mark.asyncio +async def test_update_node_owners_clear_owners( + session: AsyncSession, + user: User, + transform_node: Node, +): + await session.refresh(transform_node, ["owners"]) + transform_node.owners = [user] + await session.commit() + + # Remove all owners + await update_owners( + session=session, + node=transform_node, + new_owner_usernames=[], + current_user=user, + save_history=(await get_save_history(notify=lambda event: None)), + ) + await session.refresh(transform_node, ["owners"]) + assert transform_node.owners == [] + + +@pytest.mark.asyncio +async def test_update_node_owners_noop( + session: AsyncSession, + user: User, + transform_node: Node, +): + await session.refresh(transform_node, ["owners"]) + transform_node.owners = [user] + await session.commit() + + # Set same owner + await update_owners( + session=session, + node=transform_node, + new_owner_usernames=[user.username], + current_user=user, + save_history=(await get_save_history(notify=lambda event: None)), + ) + await session.refresh(transform_node, ["owners"]) + assert transform_node.owners == [user] + + # Confirm only one history record was created + history_entries = await session.execute( + select(History).where(History.node == transform_node.name), + ) + history = history_entries.scalars().all() + assert len(history) == 1 + assert history[0].details["old_owners"] == [user.username] + assert history[0].details["new_owners"] == [user.username] + + +@pytest.mark.asyncio +async def test_update_node_owners_invalid_user( + session: AsyncSession, + user: User, + transform_node: Node, +): + await session.refresh(transform_node, ["owners"]) + transform_node.owners = [user] + await session.commit() + + # Try to assign a non-existent user + with pytest.raises(DJDoesNotExistException): + await update_owners( + session=session, + node=transform_node, + new_owner_usernames=["non_existent_user"], + current_user=user, + save_history=(await get_save_history(notify=lambda event: None)), + ) diff --git a/datajunction-server/tests/internal/seed_test.py b/datajunction-server/tests/internal/seed_test.py new file mode 100644 index 000000000..1b6185d9d --- /dev/null +++ b/datajunction-server/tests/internal/seed_test.py @@ -0,0 +1,124 @@ +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.catalog import Catalog +from datajunction_server.database.engine import Engine +from datajunction_server.internal.seed import seed_default_catalogs +from datajunction_server.utils import get_settings + + +@pytest.mark.asyncio +async def test_seed_default_catalogs_adds_missing_catalogs(clean_session: AsyncSession): + """ + Test that seeding adds missing catalogs. + Uses clean_session because this test creates catalogs from scratch. + """ + session = clean_session + settings = get_settings() + + # Run the seeding function + await seed_default_catalogs(session) + + # Check that the catalogs were added + catalogs = await Catalog.get_by_names( + session, + names=[ + settings.seed_setup.virtual_catalog_name, + settings.seed_setup.system_catalog_name, + ], + ) + catalog_names = [catalog.name for catalog in catalogs] + assert settings.seed_setup.virtual_catalog_name in catalog_names + assert settings.seed_setup.system_catalog_name in catalog_names + + +@pytest.mark.asyncio +async def test_seed_default_catalogs_noop_if_both_exist(clean_session: AsyncSession): + """ + Test that seeding is a no-op if both catalogs already exist. + Uses clean_session because this test creates catalogs from scratch. + """ + session = clean_session + settings = get_settings() + virtual_catalog = Catalog( + name=settings.seed_setup.virtual_catalog_name, + engines=[Engine(name="virtual_engine", version="")], + ) + system_catalog = Catalog( + name=settings.seed_setup.system_catalog_name, + engines=[Engine(name="system_engine", version="")], + ) + session.add(virtual_catalog) + session.add(system_catalog) + await session.commit() + + # Run the seeding function + await seed_default_catalogs(session) + + # Check that no new catalogs were added + catalogs = await Catalog.get_by_names( + session, + names=[ + settings.seed_setup.virtual_catalog_name, + settings.seed_setup.system_catalog_name, + ], + ) + assert len(catalogs) == 2 + + +@pytest.mark.asyncio +async def test_seed_default_catalogs_virtual_exists(clean_session: AsyncSession): + """ + Test that seeding adds missing system catalog when virtual exists. + Uses clean_session because this test creates catalogs from scratch. + """ + session = clean_session + settings = get_settings() + virtual_catalog = Catalog( + name=settings.seed_setup.virtual_catalog_name, + engines=[Engine(name="virtual_engine", version="")], + ) + session.add(virtual_catalog) + await session.commit() + + # Run the seeding function + await seed_default_catalogs(session) + + # Check that only the system catalog was added + catalogs = await Catalog.get_by_names( + session, + names=[ + settings.seed_setup.virtual_catalog_name, + settings.seed_setup.system_catalog_name, + ], + ) + assert len(catalogs) == 2 + + +@pytest.mark.asyncio +async def test_seed_default_catalogs_system_exists(clean_session: AsyncSession): + """ + Test that seeding adds missing virtual catalog when system exists. + Uses clean_session because this test creates catalogs from scratch. + """ + session = clean_session + settings = get_settings() + system_catalog = Catalog( + name=settings.seed_setup.system_catalog_name, + engines=[Engine(name="system_engine", version="")], + ) + session.add(system_catalog) + await session.commit() + + # Run the seeding function + await seed_default_catalogs(session) + + # Check that only the virtual catalog was added + catalogs = await Catalog.get_by_names( + session, + names=[ + settings.seed_setup.virtual_catalog_name, + settings.seed_setup.system_catalog_name, + ], + ) + assert len(catalogs) == 2 diff --git a/datajunction-server/tests/migrations_test.py b/datajunction-server/tests/migrations_test.py new file mode 100644 index 000000000..868bc08c5 --- /dev/null +++ b/datajunction-server/tests/migrations_test.py @@ -0,0 +1,71 @@ +"""Verify alembic migrations.""" + +import pytest +from alembic.autogenerate import compare_metadata +from alembic.config import Config +from alembic.runtime.environment import EnvironmentContext +from alembic.runtime.migration import MigrationContext +from alembic.script import ScriptDirectory +from httpx import AsyncClient +from sqlalchemy import create_engine +from sqlalchemy.engine.base import Connection +from testcontainers.postgres import PostgresContainer + +from datajunction_server.database.base import Base + + +@pytest.fixture(scope="function", name="connection") +def connection(postgres_container: PostgresContainer) -> Connection: + """ + Create a Postgres connection for verifying models. + """ + url = postgres_container.get_connection_url() + engine = create_engine( + url=url, + ) + with engine.connect() as conn: + transaction = conn.begin() + yield conn + transaction.rollback() + + +def test_migrations_are_current(connection): + """ + Verify that the alembic migrations are in line with the models. + """ + target_metadata = Base.metadata + + config = Config("alembic.ini") + config.set_main_option("script_location", "datajunction_server/alembic") + script = ScriptDirectory.from_config(config) + + context = EnvironmentContext( + config, + script, + fn=lambda rev, _: script._upgrade_revs("head", rev), + ) + context.configure(connection=connection) + context.run_migrations() + + # Don't use compare_type due to false positives. + migrations_state = MigrationContext.configure( + connection, + opts={"compare_type": False}, + ) + diff = compare_metadata(migrations_state, target_metadata) + assert diff == [], "The alembic migrations do not match the models." + + +@pytest.mark.asyncio +async def test_openapi_schema(client: AsyncClient): + """ + Fetch and validate the OpenAPI schema. + """ + response = await client.get("/openapi.json") + assert response.status_code == 200, "Failed to fetch OpenAPI schema" + + schema = response.json() + assert "openapi" in schema, "Missing 'openapi' version field" + assert "info" in schema, "Missing 'info' section" + assert "paths" in schema, "Missing 'paths' section" + assert "components" in schema, "Missing 'components' section" diff --git a/datajunction-server/tests/models/__init__.py b/datajunction-server/tests/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/models/access_test.py b/datajunction-server/tests/models/access_test.py new file mode 100644 index 000000000..1781e1e32 --- /dev/null +++ b/datajunction-server/tests/models/access_test.py @@ -0,0 +1,128 @@ +""" +Tests for ``datajunction_server.models.access``. +""" + +from datajunction_server.models.access import ( + Resource, + ResourceAction, + ResourceRequest, + ResourceType, +) + + +class TestResource: + """Tests for Resource dataclass""" + + def test_resource_hash(self) -> None: + """Test Resource.__hash__ method (line 43)""" + resource1 = Resource(name="test.node", resource_type=ResourceType.NODE) + resource2 = Resource(name="test.node", resource_type=ResourceType.NODE) + resource3 = Resource(name="other.node", resource_type=ResourceType.NODE) + resource4 = Resource(name="test.node", resource_type=ResourceType.NAMESPACE) + + # Same name and type should have same hash + assert hash(resource1) == hash(resource2) + + # Different name should have different hash + assert hash(resource1) != hash(resource3) + + # Different type should have different hash + assert hash(resource1) != hash(resource4) + + # Resources can be used in sets and dicts + resource_set = {resource1, resource2, resource3} + assert len(resource_set) == 2 # resource1 and resource2 are same + + resource_dict = {resource1: "value1"} + assert resource_dict[resource2] == "value1" # Same hash, same key + + +class TestResourceRequest: + """Tests for ResourceRequest dataclass""" + + def test_resource_request_hash(self) -> None: + """Test ResourceRequest.__hash__ method (line 71)""" + resource = Resource(name="test.node", resource_type=ResourceType.NODE) + + request1 = ResourceRequest(verb=ResourceAction.READ, access_object=resource) + request2 = ResourceRequest(verb=ResourceAction.READ, access_object=resource) + request3 = ResourceRequest(verb=ResourceAction.WRITE, access_object=resource) + + other_resource = Resource(name="other.node", resource_type=ResourceType.NODE) + request4 = ResourceRequest( + verb=ResourceAction.READ, + access_object=other_resource, + ) + + # Same verb and resource should have same hash + assert hash(request1) == hash(request2) + + # Different verb should have different hash + assert hash(request1) != hash(request3) + + # Different resource should have different hash + assert hash(request1) != hash(request4) + + # ResourceRequests can be used in sets and dicts + request_set = {request1, request2, request3} + assert len(request_set) == 2 # request1 and request2 are same + + def test_resource_request_eq(self) -> None: + """Test ResourceRequest.__eq__ method (line 74)""" + resource = Resource(name="test.node", resource_type=ResourceType.NODE) + other_resource = Resource(name="other.node", resource_type=ResourceType.NODE) + + request1 = ResourceRequest(verb=ResourceAction.READ, access_object=resource) + request2 = ResourceRequest(verb=ResourceAction.READ, access_object=resource) + request3 = ResourceRequest(verb=ResourceAction.WRITE, access_object=resource) + request4 = ResourceRequest( + verb=ResourceAction.READ, + access_object=other_resource, + ) + + # Same verb and access_object + assert request1 == request2 + + # Different verb + assert request1 != request3 + + # Different access_object + assert request1 != request4 + + def test_resource_request_str(self) -> None: + """Test ResourceRequest.__str__ method (line 77)""" + node_resource = Resource(name="test.node", resource_type=ResourceType.NODE) + namespace_resource = Resource( + name="test.namespace", + resource_type=ResourceType.NAMESPACE, + ) + + read_request = ResourceRequest( + verb=ResourceAction.READ, + access_object=node_resource, + ) + assert str(read_request) == "read:node/test.node" + + write_request = ResourceRequest( + verb=ResourceAction.WRITE, + access_object=namespace_resource, + ) + assert str(write_request) == "write:namespace/test.namespace" + + execute_request = ResourceRequest( + verb=ResourceAction.EXECUTE, + access_object=node_resource, + ) + assert str(execute_request) == "execute:node/test.node" + + delete_request = ResourceRequest( + verb=ResourceAction.DELETE, + access_object=node_resource, + ) + assert str(delete_request) == "delete:node/test.node" + + manage_request = ResourceRequest( + verb=ResourceAction.MANAGE, + access_object=namespace_resource, + ) + assert str(manage_request) == "manage:namespace/test.namespace" diff --git a/datajunction-server/tests/models/catalog_test.py b/datajunction-server/tests/models/catalog_test.py new file mode 100644 index 000000000..6b1060f25 --- /dev/null +++ b/datajunction-server/tests/models/catalog_test.py @@ -0,0 +1,20 @@ +""" +Tests for ``datajunction_server.models.catalog``. +""" + +from datajunction_server.database.catalog import Catalog + + +def test_catalog_str_and_hash(): + """ + Test that a catalog instance works properly with str and hash + """ + spark = Catalog(id=1, name="spark") + assert str(spark) == "spark" + assert hash(spark) == 1 + trino = Catalog(id=2, name="trino") + assert str(trino) == "trino" + assert hash(trino) == 2 + druid = Catalog(id=3, name="druid") + assert str(druid) == "druid" + assert hash(druid) == 3 diff --git a/datajunction-server/tests/models/cube_materialization_test.py b/datajunction-server/tests/models/cube_materialization_test.py new file mode 100644 index 000000000..cd96d40d2 --- /dev/null +++ b/datajunction-server/tests/models/cube_materialization_test.py @@ -0,0 +1,200 @@ +"""Tests for cube materialization models.""" + +import pytest + +from datajunction_server.models.cube_materialization import ( + DruidCubeV3Config, + PreAggTableInfo, +) +from datajunction_server.models.decompose import ( + AggregationRule, + Aggregability, + MetricComponent, +) +from datajunction_server.models.query import ColumnMetadata + + +class TestDruidCubeV3ConfigDruidCubeConfigCompatibility: + """Test DruidCubeConfig compatibility computed properties.""" + + @pytest.fixture + def sample_config(self): + """Create a sample DruidCubeV3Config for testing.""" + return DruidCubeV3Config( + druid_datasource="dj_test_cube_v1_0", + preagg_tables=[ + PreAggTableInfo( + table_ref="catalog.schema.preagg_table", + parent_node="default.orders", + grain=["date_id", "country"], + ), + ], + combined_sql="SELECT * FROM preagg_table", + combined_columns=[ + ColumnMetadata( + name="date_id", + type="int", + semantic_entity="default.date_dim.date_id", + ), + ColumnMetadata( + name="country", + type="string", + semantic_entity="default.country_dim.country", + ), + ColumnMetadata( + name="revenue_sum", + type="double", + semantic_entity="default.revenue", + ), + ColumnMetadata( + name="order_count", + type="bigint", + semantic_entity="default.orders", + ), + ], + combined_grain=["date_id", "country"], + measure_components=[ + MetricComponent( + name="revenue_sum", + expression="revenue", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="order_count", + expression="1", + aggregation="COUNT", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ], + component_aliases={ + "revenue_sum": "total_revenue", + "order_count": "num_orders", + }, + cube_metrics=[ + "default.total_revenue", + "default.num_orders", + ], + # metrics is now explicitly populated (no longer computed) + metrics=[ + { + "node": "default.total_revenue", + "name": "total_revenue", + "metric_expression": "SUM(revenue_sum)", + "metric": { + "name": "default.total_revenue", + "display_name": "Total Revenue", + }, + }, + { + "node": "default.num_orders", + "name": "num_orders", + "metric_expression": "SUM(order_count)", + "metric": { + "name": "default.num_orders", + "display_name": "Num Orders", + }, + }, + ], + timestamp_column="date_id", + timestamp_format="yyyyMMdd", + ) + + def test_dimensions_property(self, sample_config): + """Test that dimensions property returns combined_grain.""" + assert sample_config.dimensions == ["date_id", "country"] + assert sample_config.dimensions == sample_config.combined_grain + + def test_combiners_property(self, sample_config): + """ + Test that combiners property returns columns in DruidCubeConfig + expected format. + """ + combiners = sample_config.combiners + + assert len(combiners) == 1 + assert "columns" in combiners[0] + + columns = combiners[0]["columns"] + assert len(columns) == 4 + + # Check column structure + assert columns[0]["name"] == "date_id" + assert columns[0]["column"] == "default.date_dim.date_id" + + assert columns[1]["name"] == "country" + assert columns[1]["column"] == "default.country_dim.country" + + def test_model_dump_includes_computed_fields(self, sample_config): + """ + Test that model_dump() includes the DruidCubeConfig + compatibility fields. + """ + data = sample_config.model_dump() + + assert "dimensions" in data + assert "metrics" in data + assert "combiners" in data + + assert data["dimensions"] == ["date_id", "country"] + assert len(data["metrics"]) == 2 + assert len(data["combiners"]) == 1 + + def test_json_serialization_roundtrip(self, sample_config): + """Test that config can be serialized to JSON and back.""" + import json + + # Serialize to JSON + json_str = sample_config.model_dump_json() + data = json.loads(json_str) + + # Verify backwards compatibility fields are present + assert "dimensions" in data + assert "metrics" in data + assert "combiners" in data + + # Verify data integrity + assert data["druid_datasource"] == "dj_test_cube_v1_0" + assert data["cube_metrics"] == ["default.total_revenue", "default.num_orders"] + + def test_urls_backwards_compatibility(self): + """Test that urls property aliases workflow_urls for old UI compatibility.""" + config = DruidCubeV3Config( + druid_datasource="dj_test_cube_v1_0", + preagg_tables=[], + combined_sql="SELECT 1", + combined_columns=[], + combined_grain=["date_id"], + timestamp_column="date_id", + workflow_urls=[ + "http://workflow/scheduled", + "http://workflow/backfill", + ], + ) + + # urls should alias workflow_urls + assert config.urls == config.workflow_urls + assert config.urls == ["http://workflow/scheduled", "http://workflow/backfill"] + + # Both should be in model_dump + data = config.model_dump() + assert "urls" in data + assert "workflow_urls" in data + assert data["urls"] == data["workflow_urls"] + + def test_urls_empty_when_no_workflow(self): + """Test that urls is empty when workflow_urls is empty.""" + config = DruidCubeV3Config( + druid_datasource="dj_test_cube_v1_0", + preagg_tables=[], + combined_sql="SELECT 1", + combined_columns=[], + combined_grain=["date_id"], + timestamp_column="date_id", + workflow_urls=[], + ) + + assert config.urls == [] + assert config.workflow_urls == [] diff --git a/datajunction-server/tests/models/deployment_test.py b/datajunction-server/tests/models/deployment_test.py new file mode 100644 index 000000000..f43e5baba --- /dev/null +++ b/datajunction-server/tests/models/deployment_test.py @@ -0,0 +1,252 @@ +from datajunction_server.models.node import NodeMode, NodeType +from datajunction_server.models.deployment import ( + DeploymentSpec, + DimensionJoinLinkSpec, + SourceSpec, + MetricSpec, + DimensionReferenceLinkSpec, + TransformSpec, + ColumnSpec, + PartitionSpec, + Granularity, + PartitionType, + eq_columns, + eq_or_fallback, +) +from datajunction_server.models.node import MetricUnit + + +def test_source_spec(): + source_spec = SourceSpec( + name="test_source", + catalog="public", + schema="test_db", + table="test_table", + ) + assert source_spec.rendered_name == "test_source" + assert source_spec.rendered_query is None + + +def test_transform_spec(): + transform_spec = TransformSpec( + namespace="blah", + name="test_transform", + query="SELECT * FROM ${prefix}some_table", + description="A test transform", + ) + other_transform_spec = TransformSpec( + name="other_transform", + query="SELECT * FROM ${prefix}other_table", + description="Another test transform", + ) + assert transform_spec.rendered_name == "blah.test_transform" + assert transform_spec.rendered_query == "SELECT * FROM blah.some_table" + assert transform_spec.query_ast is not None + assert transform_spec.__eq__(transform_spec) + assert not transform_spec.__eq__(object()) + assert not transform_spec.__eq__(other_transform_spec) + + +def test_metric_spec(): + metric_spec = MetricSpec( + name="test_metric", + query="SELECT 1 AS value", + unit=MetricUnit.DAY, + description="A test metric", + ) + other_metric_spec = MetricSpec( + name="other_metric", + query="SELECT 2 AS value", + unit=MetricUnit.DOLLAR, + description="Another test metric", + ) + assert metric_spec.rendered_name == "test_metric" + assert metric_spec.rendered_query == "SELECT 1 AS value" + assert metric_spec.query_ast is not None + assert metric_spec.__eq__(metric_spec) + assert not metric_spec.__eq__(object()) + assert not metric_spec.__eq__(other_metric_spec) + + +def test_reference_link_spec(): + link_spec = DimensionReferenceLinkSpec( + role="test_role", + node_column="dim_name", + dimension="some.dimension.name", + ) + assert link_spec != "1" + assert link_spec != DimensionJoinLinkSpec( + role="test_role", + dimension_node="some.dimension.name", + join_on="dim_name = some.dimension.name.dim_name", + join_type="left", + ) + + link_spec_no_role = DimensionReferenceLinkSpec( + dimension="test_dimension_no_role", + node_column="dim_name", + ) + assert link_spec_no_role.role is None + assert link_spec_no_role.dimension == "test_dimension_no_role" + assert link_spec != link_spec_no_role + + +def test_deployment_spec(): + spec = DeploymentSpec( + namespace="test_deployment", + nodes=[ + SourceSpec( + name="test_node", + node_type=NodeType.SOURCE, + owners=["user1"], + tags=["tag1"], + catalog="db", + schema="schema", + table="table", + ), + ], + ) + assert spec.nodes[0].name == "test_node" + assert spec.nodes[0].namespace == "test_deployment" + assert spec.nodes[0].node_type == NodeType.SOURCE + assert spec.nodes[0].owners == ["user1"] + assert spec.nodes[0].tags == ["tag1"] + assert spec.namespace == "test_deployment" + assert spec.model_dump() == { + "namespace": "test_deployment", + "nodes": [ + { + "columns": None, + "custom_metadata": None, + "description": None, + "dimension_links": [], + "display_name": None, + "mode": NodeMode.PUBLISHED, + "name": "test_node", + "node_type": NodeType.SOURCE, + "owners": ["user1"], + "tags": ["tag1"], + "catalog": "db", + "schema_": "schema", + "table": "table", + "primary_key": [], + }, + ], + "tags": [], + "source": None, + } + + +def test_column_spec(): + column_spec = ColumnSpec( + name="col1", + type="string", + description="A test column", + partition=PartitionSpec( + type=PartitionType.TEMPORAL, + format="YYYY-MM-DD", + granularity=Granularity.DAY, + ), + ) + other_column_spec = ColumnSpec( + name="col1", + type="string", + description="A test column", + partition=PartitionSpec( + type=PartitionType.TEMPORAL, + format="YYYY-MM-DD", + granularity=Granularity.DAY, + ), + ) + different_column_spec = ColumnSpec( + name="col2", + description="A different test column", + type="integer", + ) + assert column_spec.name == "col1" + assert column_spec.partition.type == PartitionType.TEMPORAL + assert column_spec.partition.format == "YYYY-MM-DD" + assert column_spec.__eq__(column_spec) + assert not column_spec.__eq__(object()) + assert column_spec.__eq__(other_column_spec) + assert not column_spec.__eq__(different_column_spec) + assert column_spec != "1" + + +def test_eq_or_fallback_basic(): + # Equal values + assert eq_or_fallback("x", "x", "fallback") + # a is None, b equals fallback + assert eq_or_fallback(None, "fb", "fb") + # a is None but b != fallback + assert not eq_or_fallback(None, "other", "fb") + # a not None, mismatch + assert not eq_or_fallback("x", "y", "fb") + + +def test_eq_columns_equal_lists(): + c1 = ColumnSpec( + name="col1", + type="string", + attributes=["primary_key"], + partition=None, + ) + c2 = ColumnSpec( + name="col1", + type="string", + attributes=["primary_key"], + partition=None, + ) + assert eq_columns([c1], [c2]) # exact match + assert eq_columns([], []) # both empty + assert eq_columns(None, None) # both None + + +def test_eq_columns_none_and_special_case(): + # a is None, b has columns with only primary_key attribute and no partition + b = [ + ColumnSpec( + name="col1", + type="string", + attributes=["primary_key"], + partition=None, + ), + ColumnSpec( + name="col1", + type="string", + attributes=["primary_key"], + partition=None, + ), + ] + assert eq_columns(None, b) + + # a is empty list behaves like None + assert eq_columns([], b) + + +def test_eq_columns_failures(): + # Different attributes (not just primary_key) + b = [ + ColumnSpec( + name="col1", + type="string", + attributes=["primary_key", "other"], + partition=None, + ), + ] + assert not eq_columns(None, b) + + # Partition flag set + b = [ + ColumnSpec( + name="col1", + type="string", + attributes=["primary_key"], + partition=PartitionSpec( + type=PartitionType.TEMPORAL, + format="YYYY-MM-DD", + granularity=Granularity.DAY, + ), + ), + ] + assert not eq_columns(None, b) diff --git a/datajunction-server/tests/models/dialect_test.py b/datajunction-server/tests/models/dialect_test.py new file mode 100644 index 000000000..2ccee7dd5 --- /dev/null +++ b/datajunction-server/tests/models/dialect_test.py @@ -0,0 +1,135 @@ +from unittest import mock +import pytest +from datajunction_server.models.dialect import ( + Dialect, + DialectRegistry, + register_dialect_plugin, +) +from datajunction_server.models.dialect import dialect_plugin +from datajunction_server.transpilation import ( + SQLTranspilationPlugin, +) +from datajunction_server.models.dialect import Dialect, DialectRegistry, dialect_plugin +from datajunction_server.models.metric import TranslatedSQL + + +@dialect_plugin("custom123") +class TestPlugin(SQLTranspilationPlugin): + """ + Custom transpilation plugin for testing. + """ + + package_name = "custom_transpilation_plugin" + + def transpile_sql( + self, + query: str, + *, + input_dialect: Dialect | None = None, + output_dialect: Dialect | None = None, + ) -> str: + return query + "\n\n-- transpiled" + + +def test_dialect_register_and_get_plugin(): + """ + Test the DialectRegistry register method. + """ + DialectRegistry._registry.clear() + DialectRegistry.register("dialect_a", TestPlugin) + DialectRegistry.register("dialect_b", TestPlugin) + plugin_a = DialectRegistry.get_plugin("dialect_a") + plugin_b = DialectRegistry.get_plugin("dialect_b") + assert plugin_a is TestPlugin + assert plugin_b is TestPlugin + listed = DialectRegistry.list() + assert set(listed) == {"dialect_a", "dialect_b"} + + +def test_custom_sql() -> None: + """ + Verify that the custom dialect plugin can be used to transpile SQL. + """ + DialectRegistry.register("dialect_a", TestPlugin) + + translated_sql = TranslatedSQL.create( + sql="SELECT 1", + columns=[], + dialect=Dialect("dialect_a"), + ) + assert translated_sql.sql == "SELECT 1\n\n-- transpiled" + + +def test_dialect_enum(): + """ + Test the Dialect enum for valid and invalid values. + """ + assert Dialect.SPARK == "spark" + assert Dialect.TRINO == "trino" + assert Dialect.DRUID == "druid" + + with pytest.raises(ValueError): + Dialect("unknown_dialect") + + with pytest.raises(TypeError): + Dialect(123) + + # Test dynamic creation of a dialect if registered + DialectRegistry.register("custom", TestPlugin) + assert Dialect("custom") == "custom" + + with pytest.raises(ValueError): + Dialect("unregistered_dialect") + + +def test_dialect_registry_register_and_get_plugin(): + """ + Test registering and retrieving plugins in the DialectRegistry. + """ + + class MockPlugin: + package_name = "mock_plugin" + + DialectRegistry.register("mock_dialect", MockPlugin) + assert DialectRegistry.get_plugin("mock_dialect") == MockPlugin + assert DialectRegistry.get_plugin("nonexistent_dialect") is None + + +def test_dialect_registry_list(): + """ + Test listing all registered dialects in the DialectRegistry. + """ + + class MockPlugin: + pass + + DialectRegistry._registry.clear() # Clear the registry for a clean test + DialectRegistry.register("dialect1", MockPlugin) + DialectRegistry.register("dialect2", MockPlugin) + + assert sorted(DialectRegistry.list()) == ["dialect1", "dialect2"] + + +def test_register_dialect_plugin(caplog): + """ + Test the register_dialect_plugin function. + """ + + class MockPlugin: + package_name = "mock_plugin" + + # Simulate the settings where the plugin is not included + register_dialect_plugin("test_dialect", MockPlugin) + assert DialectRegistry.get_plugin("test_dialect") is None + caplog.set_level("WARNING") + assert caplog.messages == [ + "Skipping plugin registration for 'test_dialect' (mock_plugin) " + "(not in configured transpilation plugins: ['default', 'sqlglot'])", + ] + + # Simulate adding the plugin to the settings + mock_settings = mock.MagicMock() + mock_settings.transpilation_plugins = ["default", "mock_plugin"] + with mock.patch("datajunction_server.models.dialect.settings", mock_settings): + register_dialect_plugin("test_dialect", MockPlugin) + assert DialectRegistry.get_plugin("test_dialect") is MockPlugin diff --git a/datajunction-server/tests/models/hash_test.py b/datajunction-server/tests/models/hash_test.py new file mode 100644 index 000000000..34e1bb2a6 --- /dev/null +++ b/datajunction-server/tests/models/hash_test.py @@ -0,0 +1,21 @@ +""" +Tests for ``datajunction_server.models.database``. +""" + +import datajunction_server.sql.parsing.types as ct +from datajunction_server.database.column import Column +from datajunction_server.database.database import Database, Table + + +def test_hash() -> None: + """ + Test the hash method to compare models. + """ + database = Database(id=1, name="test", URI="sqlite://") + assert database in {database} + + table = Table(id=1, database=database, table="table") + assert table in {table} + + column = Column(id=1, name="test", type=ct.IntegerType(), order=0) + assert column in {column} diff --git a/datajunction-server/tests/models/hierarchy_test.py b/datajunction-server/tests/models/hierarchy_test.py new file mode 100644 index 000000000..e5fe38e30 --- /dev/null +++ b/datajunction-server/tests/models/hierarchy_test.py @@ -0,0 +1,401 @@ +""" +Test hierarchy models and database operations using proper DJ patterns. +""" + +from sqlalchemy.ext.asyncio import AsyncSession + +import pytest +from pydantic import ValidationError + +from datajunction_server.database.hierarchy import Hierarchy, HierarchyLevel +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.models.hierarchy import ( + HierarchyCreateRequest, + HierarchyLevelInput, +) +from datajunction_server.models.node_type import NodeType + +# Import shared fixtures +from tests.fixtures.hierarchy_fixtures import ( # noqa: F401 + time_catalog, + time_sources, + time_dimensions, + time_dimension_links, + calendar_hierarchy, + fiscal_hierarchy, +) + + +class TestHierarchy: + """ + Test hierarchy database models using proper DJ source->dimension->link patterns. + """ + + async def test_hierarchy_creation_year_month_week_day( + self, + calendar_hierarchy: Hierarchy, + ): + """Test creating a hierarchy: Year -> Month -> Week -> Day.""" + # Verify hierarchy was created correctly + assert calendar_hierarchy.name == "calendar_hierarchy" + assert calendar_hierarchy.display_name == "Calendar Hierarchy" + assert len(calendar_hierarchy.levels) == 4 + + # Verify levels are ordered correctly + sorted_levels = sorted( + calendar_hierarchy.levels, + key=lambda lvl: lvl.level_order, + ) + assert sorted_levels[0].name == "year" + assert sorted_levels[1].name == "month" + assert sorted_levels[2].name == "week" + assert sorted_levels[3].name == "day" + + async def test_hierarchy_creation_year_quarter_month_day( + self, + fiscal_hierarchy: Hierarchy, + ): + """Test creating a hierarchy: Year -> Quarter -> Month -> Day.""" + # Verify hierarchy was created correctly + assert fiscal_hierarchy.name == "fiscal_hierarchy" + assert fiscal_hierarchy.display_name == "Fiscal Hierarchy" + assert len(fiscal_hierarchy.levels) == 4 + + # Verify levels are ordered correctly + sorted_levels = sorted(fiscal_hierarchy.levels, key=lambda lvl: lvl.level_order) + assert sorted_levels[0].name == "year" + assert sorted_levels[1].name == "quarter" + assert sorted_levels[2].name == "month" + assert sorted_levels[3].name == "day" + + async def test_multiple_hierarchies_same_dimensions( + self, + session: AsyncSession, + calendar_hierarchy: Hierarchy, + fiscal_hierarchy: Hierarchy, + ): + """Test that multiple hierarchies can use the same dimension nodes.""" + # Verify both hierarchies exist + assert ( + await Hierarchy.get_by_name(session, "calendar_hierarchy") + == calendar_hierarchy + ) + assert ( + await Hierarchy.get_by_name(session, "fiscal_hierarchy") == fiscal_hierarchy + ) + + # Verify they use some of the same dimension nodes + calendar_node_ids = { + level.dimension_node_id for level in calendar_hierarchy.levels + } + fiscal_node_ids = {level.dimension_node_id for level in fiscal_hierarchy.levels} + + # Should share year, month, and day dimensions + shared_nodes = calendar_node_ids & fiscal_node_ids + assert len(shared_nodes) == 3 # year, month, and day + assert [level.name for level in calendar_hierarchy.levels] == [ + "year", + "month", + "week", + "day", + ] + + async def test_hierarchy_get_using_dimension( + self, + session: AsyncSession, + current_user: User, + calendar_hierarchy: Hierarchy, + fiscal_hierarchy: Hierarchy, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test finding hierarchies that use a specific dimension node.""" + dimensions, _ = time_dimensions + + # Create hierarchy that doesn't use year dimension + weekly_hierarchy = Hierarchy( + name="weekly_hierarchy", + display_name="Weekly Only", + description="Week -> Day hierarchy", + created_by_id=current_user.id, + ) + session.add(weekly_hierarchy) + await session.flush() + + # Add levels for weekly hierarchy + week_level = HierarchyLevel( + hierarchy_id=weekly_hierarchy.id, + name="week", + level_order=0, + dimension_node_id=dimensions["week"].id, + ) + day_level = HierarchyLevel( + hierarchy_id=weekly_hierarchy.id, + name="day", + level_order=1, + dimension_node_id=dimensions["day"].id, + ) + session.add_all([week_level, day_level]) + await session.commit() + + # Test finding hierarchies using year dimension + year_node_id = dimensions["year"].id + hierarchies_with_year = await Hierarchy.get_using_dimension( + session, + year_node_id, + ) + assert len(hierarchies_with_year) == 2 + + hierarchy_names = {h.name for h in hierarchies_with_year} + assert hierarchy_names == {"calendar_hierarchy", "fiscal_hierarchy"} + + # Test finding hierarchies using week dimension + week_node_id = dimensions["week"].id + hierarchies_with_week = await Hierarchy.get_using_dimension( + session, + week_node_id, + ) + assert ( + len(hierarchies_with_week) == 2 + ) # calendar_hierarchy and weekly_hierarchy both use week + + hierarchy_names = {h.name for h in hierarchies_with_week} + assert hierarchy_names == {"calendar_hierarchy", "weekly_hierarchy"} + + async def test_hierarchy_validation_with_invalid_levels( + self, + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test hierarchy level validation with proper dimension nodes.""" + dimensions, _ = time_dimensions + + # Invalid levels with existing dimension nodes, where links don't exist + valid_levels = [ + HierarchyLevelInput( + name="year", + dimension_node=dimensions["year"].name, + ), + HierarchyLevelInput( + name="month", + dimension_node=dimensions["month"].name, + ), + ] + + errors, _ = await Hierarchy.validate_levels(session, valid_levels) + assert len(errors) == 1 + assert "No dimension link exists" in errors[0] + + # Invalid levels with non-existent dimension node + invalid_levels = [ + HierarchyLevelInput( + name="year", + dimension_node="non_existent", # Non-existent ID + ), + HierarchyLevelInput( + name="month", + dimension_node=dimensions["month"].name, + ), + ] + + errors, _ = await Hierarchy.validate_levels(session, invalid_levels) + assert any("does not exist" in error for error in errors) + + async def test_hierarchy_validation_less_than_two_levels( + self, + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test validation fails with only one level.""" + dimensions, _ = time_dimensions + + single_level = [ + HierarchyLevelInput( + name="year", + dimension_node=dimensions["year"].name, + ), + ] + with pytest.raises(ValidationError) as exc_info: + hierarchy = HierarchyCreateRequest( + name="single_level_hierarchy", + levels=single_level, + ) + HierarchyCreateRequest.model_validate(hierarchy) + assert "should have at least 2 items" in str(exc_info.value) + + async def test_hierarchy_validation_duplicate_level_names( + self, + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test validation fails with duplicate level names.""" + dimensions, _ = time_dimensions + + duplicate_names = [ + HierarchyLevelInput( + name="time", # Same name + dimension_node=dimensions["year"].name, + ), + HierarchyLevelInput( + name="time", # Same name + dimension_node=dimensions["month"].name, + ), + ] + + errors, _ = await Hierarchy.validate_levels(session, duplicate_names) + assert any("Level names must be unique" in error for error in errors) + + async def test_hierarchy_validation_non_dimension_node( + self, + session: AsyncSession, + time_sources: dict[str, Node], + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test validation fails when using a non-dimension node.""" + dimensions, _ = time_dimensions + + with_source_node = [ + HierarchyLevelInput( + name="year", + dimension_node=dimensions["year"].name, + ), + HierarchyLevelInput( + name="source", + dimension_node=time_sources["month"].name, # SOURCE node! + ), + ] + + errors, _ = await Hierarchy.validate_levels(session, with_source_node) + assert any("not a dimension node" in error for error in errors) + + async def test_hierarchy_validation_single_dimension_hierarchy( + self, + session: AsyncSession, + current_user: User, + ): + """Test validation of single-dimension hierarchy with grain_columns.""" + from datajunction_server.database.catalog import Catalog + from datajunction_server.database.column import Column + from datajunction_server.sql.parsing.types import StringType + + # Create a catalog + catalog = Catalog(name="test_catalog") + session.add(catalog) + await session.flush() + + # Create a single dimension with multiple grain columns + location_dim = Node( + name="default.location_dim", + type=NodeType.DIMENSION, + current_version="v1", + created_by_id=current_user.id, + ) + location_rev = NodeRevision( + node=location_dim, + name=location_dim.name, + type=location_dim.type, + version="v1", + catalog_id=catalog.id, + schema_="default", + table="locations", + query="SELECT country, state, city FROM locations", + columns=[ + Column(name="country", type=StringType(), order=0), + Column(name="state", type=StringType(), order=1), + Column(name="city", type=StringType(), order=2), + ], + created_by_id=current_user.id, + ) + session.add(location_rev) + await session.commit() + + # Create hierarchy with same dimension at different grains + single_dim_levels = [ + HierarchyLevelInput( + name="country", + dimension_node="default.location_dim", + grain_columns=["country"], + ), + HierarchyLevelInput( + name="state", + dimension_node="default.location_dim", # Same dimension! + grain_columns=["country", "state"], + ), + ] + + # Should validate successfully - skips dimension link check + errors, _ = await Hierarchy.validate_levels(session, single_dim_levels) + assert len(errors) == 0 + + async def test_hierarchy_validation_wrong_cardinality( + self, + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test validation fails with wrong cardinality dimension link.""" + from datajunction_server.database.dimensionlink import DimensionLink + from datajunction_server.models.dimensionlink import JoinType, JoinCardinality + + dimensions, revisions = time_dimensions + + # Add a dimension link with ONE_TO_ONE cardinality (wrong!) + bad_link = DimensionLink( + node_revision=revisions["month"], + dimension=dimensions["year"], + join_sql="default.month_dim.year_id = default.year_dim.year_id", + join_type=JoinType.INNER, + join_cardinality=JoinCardinality.ONE_TO_ONE, + ) + session.add(bad_link) + await session.commit() + + levels = [ + HierarchyLevelInput( + name="year", + dimension_node=dimensions["year"].name, + ), + HierarchyLevelInput( + name="month", + dimension_node=dimensions["month"].name, + ), + ] + + errors, _ = await Hierarchy.validate_levels(session, levels) + assert any("cardinality" in error.lower() for error in errors) + + async def test_hierarchy_validation_pk_not_in_join( + self, + session: AsyncSession, + time_dimensions: tuple[dict[str, Node], dict[str, NodeRevision]], + ): + """Test validation warning when join doesn't reference primary key.""" + from datajunction_server.database.dimensionlink import DimensionLink + from datajunction_server.models.dimensionlink import JoinType + + dimensions, revisions = time_dimensions + + # Add a dimension link that doesn't use the PK in join SQL + weird_link = DimensionLink( + node_revision=revisions["month"], + dimension=dimensions["year"], + join_sql="default.month_dim.some_col = default.year_dim.other_col", # Not PK! + join_type=JoinType.INNER, + ) + session.add(weird_link) + await session.commit() + + levels = [ + HierarchyLevelInput( + name="year", + dimension_node=dimensions["year"].name, + ), + HierarchyLevelInput( + name="month", + dimension_node=dimensions["month"].name, + ), + ] + + errors, _ = await Hierarchy.validate_levels(session, levels) + assert any( + "WARN" in error or "primary key" in error.lower() for error in errors + ) diff --git a/datajunction-server/tests/models/measure_test.py b/datajunction-server/tests/models/measure_test.py new file mode 100644 index 000000000..11a37cf87 --- /dev/null +++ b/datajunction-server/tests/models/measure_test.py @@ -0,0 +1,27 @@ +""" +Tests for ``datajunction_server.models.measures``. +""" + +import datajunction_server.sql.parsing.types as ct +from datajunction_server.database.column import Column +from datajunction_server.database.measure import Measure +from datajunction_server.models.measure import AggregationRule + + +def test_measures_backpopulate() -> None: + """ + Test the Measure model and that it backpopulates Column and vice versa. + """ + column1 = Column(name="finalized_amount", type=ct.StringType(), order=0) + column2 = Column(name="final_amount", type=ct.StringType(), order=0) + measure = Measure( + name="amount", + columns=[column1, column2], + additive=AggregationRule.ADDITIVE, + ) + assert column1.measure == measure + assert column2.measure == measure + + column3 = Column(name="amount3", type=ct.StringType(), measure=measure, order=0) + column4 = Column(name="amount4", type=ct.StringType(), measure=measure, order=0) + assert measure.columns == [column1, column2, column3, column4] diff --git a/datajunction-server/tests/models/node_test.py b/datajunction-server/tests/models/node_test.py new file mode 100644 index 000000000..36d7bbd69 --- /dev/null +++ b/datajunction-server/tests/models/node_test.py @@ -0,0 +1,329 @@ +""" +Tests for ``datajunction_server.models.node``. +""" + +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.availabilitystate import AvailabilityState +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.models.node import ( + AvailabilityStateBase, + NodeCursor, + PartitionAvailability, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.typing import UTCDatetime + + +def test_node_relationship(session: AsyncSession) -> None: + """ + Test the n:n self-referential relationships. + """ + node_a = Node(name="A", current_version="1") + node_a_rev = NodeRevision(name="A", version="1", node=node_a) + + node_b = Node(name="B", current_version="1") + node_a_rev = NodeRevision(name="B", version="1", node=node_b) + + node_c = Node(name="C", current_version="1") + node_c_rev = NodeRevision( + name="C", + version="1", + node=node_c, + parents=[node_a, node_b], + ) + + session.add(node_c_rev) + + assert node_a.children == [node_c_rev] + assert node_b.children == [node_c_rev] + assert node_c.children == [] + + assert node_a_rev.parents == [] + assert node_a_rev.parents == [] + assert node_c_rev.parents == [node_a, node_b] + + +def test_extra_validation() -> None: + """ + Test ``extra_validation``. + """ + node = Node(name="A", type=NodeType.METRIC, current_version="1") + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + ) + with pytest.raises(Exception) as excinfo: + node_revision.extra_validation() + assert str(excinfo.value) == "Node A of type metric needs a query" + + node = Node(name="A", type=NodeType.METRIC, current_version="1") + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + query="SELECT count(repair_order_id) AS Anum_repair_orders FROM repair_orders", + ) + node_revision.extra_validation() + + node = Node(name="A", type=NodeType.METRIC, current_version="1") + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + query="SELECT repair_order_id + " + "repair_order_id AS Anum_repair_orders " + "FROM repair_orders", + ) + with pytest.raises(Exception) as excinfo: + node_revision.extra_validation() + assert str(excinfo.value) == ( + "Metric A has an invalid query, should have an aggregate expression" + ) + + node = Node(name="AA", type=NodeType.METRIC, current_version="1") + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + query="SELECT ln(count(distinct repair_order_id)) FROM repair_orders", + ) + node_revision.extra_validation() + + node = Node(name="ABC", type=NodeType.METRIC, current_version="1") + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + query="SELECT CASE WHEN COUNT(repair_order_id) = 1 THEN 1 ELSE 0 END FROM repair_orders", + ) + node_revision.extra_validation() + + node = Node(name="A", type=NodeType.TRANSFORM, current_version="1") + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + query="SELECT * FROM B", + ) + node_revision.extra_validation() + + node = Node(name="A", type=NodeType.TRANSFORM, current_version="1") + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + ) + with pytest.raises(Exception) as excinfo: + node_revision.extra_validation() + assert str(excinfo.value) == "Node A of type transform needs a query" + + node = Node(name="A", type=NodeType.CUBE, current_version="1") + node_revision = NodeRevision(name=node.name, type=node.type, node=node, version="1") + with pytest.raises(Exception) as excinfo: + node_revision.extra_validation() + assert str(excinfo.value) == "Node A of type cube node needs cube elements" + + node = Node(name="A", type=NodeType.TRANSFORM, current_version="1") + node_revision = NodeRevision( + name=node.name, + type=node.type, + node=node, + version="1", + query="SELECT * FROM B", + required_dimensions=["B.x"], + ) + with pytest.raises(Exception) as excinfo: + node_revision.extra_validation() + + assert str(excinfo.value) == ( + "Node A of type transform cannot have " + "bound dimensions which are only for metrics." + ) + + +def test_merging_availability_simple_no_partitions() -> None: + """ + Test merging simple availability for no partitions. + """ + avail_1 = AvailabilityStateBase( + catalog="catalog", + schema_="schema", + table="foo", + valid_through_ts=111, + ) + avail_2 = AvailabilityStateBase( + catalog="catalog", + schema_="schema", + table="foo", + valid_through_ts=222, + ) + assert avail_1.merge(avail_2).model_dump() == { + "min_temporal_partition": None, + "max_temporal_partition": None, + "catalog": "catalog", + "schema_": "schema", + "table": "foo", + "valid_through_ts": 222, + "categorical_partitions": [], + "temporal_partitions": [], + "partitions": [], + "url": None, + "links": {}, + } + + +def test_merging_availability_complex_no_partitions() -> None: + """ + Test merging complex availability for no partitions. + """ + avail_1 = AvailabilityStateBase( + catalog="druid", + schema_="", + table="dj_product__launchpad__launchpad_cube", + min_temporal_partition=["20230924"], + max_temporal_partition=["20230924"], + categorical_partitions=[], + temporal_partitions=[], + partitions=[], + valid_through_ts=20230924, + ) + avail_2 = AvailabilityStateBase( + catalog="druid", + schema_="", + table="dj_product__launchpad__launchpad_cube", + min_temporal_partition=["20230926"], + max_temporal_partition=["20230927"], + categorical_partitions=[], + temporal_partitions=[], + partitions=[], + valid_through_ts=20230927, + ) + assert avail_1.merge(avail_2).model_dump() == { + "min_temporal_partition": ["20230924"], + "max_temporal_partition": ["20230927"], + "catalog": "druid", + "schema_": "", + "table": "dj_product__launchpad__launchpad_cube", + "valid_through_ts": 20230927, + "categorical_partitions": [], + "temporal_partitions": [], + "partitions": [], + "url": None, + "links": {}, + } + + +def test_merging_availability_complex_with_partitions() -> None: + """ + Test merging complex availability with partitions. + """ + avail_1 = AvailabilityStateBase( + catalog="iceberg", + schema_="salad", + table="dressing", + min_temporal_partition=["20230101"], + max_temporal_partition=["20230925"], + categorical_partitions=["country"], + temporal_partitions=["region_date"], + partitions=[ + PartitionAvailability( + value=[None], + valid_through_ts=20230404, + min_temporal_partition=["20230101"], + max_temporal_partition=["20230404"], + ), + PartitionAvailability( + value=["US"], + valid_through_ts=20230925, + min_temporal_partition=["20230924"], + max_temporal_partition=["20230925"], + ), + ], + valid_through_ts=20230925, + ) + avail_2 = AvailabilityState( + catalog="iceberg", + schema_="salad", + table="dressing", + min_temporal_partition=["20230101"], + max_temporal_partition=["20231010"], + categorical_partitions=["country"], + temporal_partitions=["region_date"], + partitions=[ + PartitionAvailability( + value=["US"], + valid_through_ts=20230926, + min_temporal_partition=["20230924"], + max_temporal_partition=["20230926"], + ), + PartitionAvailability( + value=["CA"], + valid_through_ts=20231010, + min_temporal_partition=["20220101"], + max_temporal_partition=["20231010"], + ), + ], + valid_through_ts=20231015, + ) + avail_1 = avail_1.merge(avail_2) + assert avail_1.model_dump() == { + "catalog": "iceberg", + "schema_": "salad", + "table": "dressing", + "min_temporal_partition": ["20230101"], + "max_temporal_partition": ["20231010"], + "valid_through_ts": 20231015, + "categorical_partitions": ["country"], + "temporal_partitions": ["region_date"], + "partitions": [ + { + "value": ["CA"], + "valid_through_ts": 20231010, + "min_temporal_partition": ["20220101"], + "max_temporal_partition": ["20231010"], + }, + { + "value": ["US"], + "valid_through_ts": 20230926, + "min_temporal_partition": ["20230101"], + "max_temporal_partition": ["20230926"], + }, + ], + "url": None, + "links": {}, + } + + +def test_node_cursors() -> None: + """ + Test encoding and decoding node cursors + """ + created_at = UTCDatetime( + year=2024, + month=1, + day=1, + hour=12, + minute=30, + second=33, + ) + + cursor = NodeCursor(created_at=created_at, id=1010) + + encoded_cursor = ( + "eyJjcmVhdGVkX2F0IjogIjIwMjQtMDEtMDFUMTI6MzA6MzMiLCAiaWQiOiAxMDEwfQ==" + ) + assert cursor.encode() == encoded_cursor + + decoded_cursor = NodeCursor.decode(encoded_cursor) + assert decoded_cursor.created_at == cursor.created_at + assert decoded_cursor.id == cursor.id diff --git a/datajunction-server/tests/models/query_test.py b/datajunction-server/tests/models/query_test.py new file mode 100644 index 000000000..a4ae623c0 --- /dev/null +++ b/datajunction-server/tests/models/query_test.py @@ -0,0 +1,102 @@ +""" +Tests for the query model. +""" + +from datetime import datetime + +import msgpack + +from datajunction_server.models.query import ( + ColumnMetadata, + QueryResults, + QueryWithResults, + StatementResults, + decode_results, + encode_results, +) +from datajunction_server.typing import QueryState + + +def test_msgpack() -> None: + """ + Test the msgpack encoding/decoding + """ + query_with_results = QueryWithResults( + catalog=None, + schema=None, + id="5599b970-23f0-449b-baea-c87a2735423b", + submitted_query="SELECT 42 AS answer", + executed_query="SELECT 42 AS answer", + scheduled=datetime(2021, 1, 1), + started=datetime(2021, 1, 2), + finished=datetime(2021, 1, 3), + state=QueryState.FINISHED, + progress=1, + output_table=None, + results=QueryResults( + root=[ + StatementResults( + sql="SELECT 42 AS answer", + columns=[ColumnMetadata(name="answer", type="int")], + rows=[(42,)], + row_count=1, + ), + ], + ), + next=None, + previous=None, + errors=[], + ) + encoded = msgpack.packb( + query_with_results.dict(by_alias=True), + default=encode_results, + ) + decoded = msgpack.unpackb(encoded, ext_hook=decode_results) + assert decoded == { + "id": "5599b970-23f0-449b-baea-c87a2735423b", + "submitted_query": "SELECT 42 AS answer", + "executed_query": "SELECT 42 AS answer", + "engine_name": None, + "engine_version": None, + "output_table": None, + "scheduled": datetime(2021, 1, 1, 0, 0), + "started": datetime(2021, 1, 2, 0, 0), + "finished": datetime(2021, 1, 3, 0, 0), + "progress": 1.0, + "state": "FINISHED", + "results": [ + { + "sql": "SELECT 42 AS answer", + "columns": [ + { + "name": "answer", + "type": "int", + "node": None, + "column": None, + "semantic_type": None, + "semantic_entity": None, + }, + ], + "rows": [[42]], + "row_count": 1, + }, + ], + "next": None, + "previous": None, + "errors": [], + "links": None, + } + + +def test_encode_results_unknown() -> None: + """ + Test that ``encode_results`` passes through unknown objects. + """ + assert encode_results(1) == 1 + + +def test_decode_results_unknown() -> None: + """ + Test that ``decode_results`` passes through unknown objects. + """ + assert decode_results(42, b"packed") == msgpack.ExtType(42, b"packed") diff --git a/datajunction-server/tests/query_clients/base_query_client_test.py b/datajunction-server/tests/query_clients/base_query_client_test.py new file mode 100644 index 000000000..6c3e69a3a --- /dev/null +++ b/datajunction-server/tests/query_clients/base_query_client_test.py @@ -0,0 +1,141 @@ +"""Test BaseQueryServiceClient abstract class.""" + +import pytest + +from datajunction_server.query_clients.base import BaseQueryServiceClient +from datajunction_server.models.query import QueryCreate + + +class MockQueryServiceClient(BaseQueryServiceClient): + """Mock implementation for testing.""" + + def get_columns_for_table( + self, + catalog, + schema, + table, + request_headers=None, + engine=None, + ): + return [] + + +class AbstractOnlyClient(BaseQueryServiceClient): + """Implementation that doesn't override get_columns_for_table to test abstract method.""" + + pass + + +def test_base_client_abstract_methods(): + """Test that BaseQueryServiceClient defines abstract methods correctly.""" + client = MockQueryServiceClient() + + # Only get_columns_for_table is implemented + assert client.get_columns_for_table("cat", "sch", "tbl") == [] + + # Other methods should raise NotImplementedError + query_create = QueryCreate( + submitted_query="SELECT 1", + catalog_name="test_catalog", + engine_name="test_engine", + engine_version="v1", + ) + + with pytest.raises(NotImplementedError): + client.create_view("test_view", query_create) + + with pytest.raises(NotImplementedError): + client.submit_query(query_create) + + with pytest.raises(NotImplementedError): + client.get_query("query_id") + + with pytest.raises(NotImplementedError): + client.materialize(None) + + with pytest.raises(NotImplementedError): + client.materialize_cube(None) + + with pytest.raises(NotImplementedError): + client.deactivate_materialization("node", "mat") + + with pytest.raises(NotImplementedError): + client.get_materialization_info("node", "v1", "SOURCE", "mat") + + with pytest.raises(NotImplementedError): + client.run_backfill("node", "v1", "SOURCE", "mat", []) + + # Pre-aggregation methods should raise NotImplementedError + with pytest.raises(NotImplementedError): + client.materialize_preagg(None) + + with pytest.raises(NotImplementedError): + client.deactivate_preagg_workflow("test_table") + + with pytest.raises(NotImplementedError): + client.run_preagg_backfill(None) + + +def test_base_client_error_messages(): + """Test that error messages include class name.""" + client = MockQueryServiceClient() + + query_create = QueryCreate( + submitted_query="SELECT 1", + catalog_name="test_catalog", + engine_name="test_engine", + engine_version="v1", + ) + + try: + client.create_view("test", query_create) + except NotImplementedError as e: + assert "MockQueryServiceClient" in str(e) + assert "does not support view creation" in str(e) + + try: + client.submit_query(query_create) + except NotImplementedError as e: + assert "MockQueryServiceClient" in str(e) + assert "does not support query submission" in str(e) + + +def test_preagg_error_messages(): + """Test that preagg error messages include class name.""" + client = MockQueryServiceClient() + + try: + client.materialize_preagg(None) + except NotImplementedError as e: + assert "MockQueryServiceClient" in str(e) + assert "does not support pre-aggregation materialization" in str(e) + + try: + client.deactivate_preagg_workflow("test_table") + except NotImplementedError as e: + assert "MockQueryServiceClient" in str(e) + assert "does not support pre-aggregation workflows" in str(e) + + try: + client.run_preagg_backfill(None) + except NotImplementedError as e: + assert "MockQueryServiceClient" in str(e) + assert "does not support pre-aggregation backfill" in str(e) + + +def test_abstract_method_coverage(): + """Test abstract method implementation to hit the pass statement.""" + # Use the MockQueryServiceClient which does implement get_columns_for_table + client = MockQueryServiceClient() + + # But call the actual abstract method implementation from the base class + # This should hit the pass statement in the abstract method + result = BaseQueryServiceClient.__dict__["get_columns_for_table"]( + client, + "cat", + "sch", + "tbl", + ) + + # The abstract method should return None due to the pass statement + assert result is None diff --git a/datajunction-server/tests/query_clients/http_query_client_test.py b/datajunction-server/tests/query_clients/http_query_client_test.py new file mode 100644 index 000000000..e0abb2b8f --- /dev/null +++ b/datajunction-server/tests/query_clients/http_query_client_test.py @@ -0,0 +1,104 @@ +"""Tests for HTTP query service client wrapper.""" + +from datetime import date +from unittest.mock import MagicMock, patch + +import pytest + +from datajunction_server.models.cube_materialization import ( + CubeMaterializationV2Input, +) +from datajunction_server.models.materialization import ( + MaterializationStrategy, +) +from datajunction_server.models.preaggregation import CubeBackfillInput +from datajunction_server.query_clients.http import HttpQueryServiceClient + + +class TestHttpQueryServiceClientCubeV2Methods: + """Tests for HttpQueryServiceClient cube v2 methods.""" + + @pytest.fixture + def mock_client(self): + """Create client with mocked underlying QueryServiceClient.""" + with patch( + "datajunction_server.query_clients.http.QueryServiceClient", + ) as MockClient: + mock_inner = MagicMock() + MockClient.return_value = mock_inner + client = HttpQueryServiceClient(uri="http://test:8000") + yield client, mock_inner + + def test_materialize_cube_v2(self, mock_client): + """Test materialize_cube_v2 delegates to underlying client.""" + client, mock_inner = mock_client + mock_inner.materialize_cube_v2.return_value = MagicMock(urls=["http://wf1"]) + + input_data = CubeMaterializationV2Input( + cube_name="test.cube", + cube_version="v1", + preagg_tables=[], + combined_sql="SELECT 1", + combined_columns=[], + combined_grain=[], + druid_datasource="test_ds", + druid_spec={}, + timestamp_column="date_id", + timestamp_format="yyyyMMdd", + strategy=MaterializationStrategy.FULL, + schedule="0 0 * * *", + ) + client.materialize_cube_v2(input_data, request_headers={"X-Test": "1"}) + + mock_inner.materialize_cube_v2.assert_called_once_with( + materialization_input=input_data, + request_headers={"X-Test": "1"}, + ) + + def test_deactivate_cube_workflow(self, mock_client): + """Test deactivate_cube_workflow delegates to underlying client.""" + client, mock_inner = mock_client + mock_inner.deactivate_cube_workflow.return_value = {"status": "deactivated"} + + client.deactivate_cube_workflow("test.cube", request_headers={"X-Test": "1"}) + + mock_inner.deactivate_cube_workflow.assert_called_once_with( + cube_name="test.cube", + version=None, + request_headers={"X-Test": "1"}, + ) + + def test_deactivate_cube_workflow_with_version(self, mock_client): + """Test deactivate_cube_workflow with version delegates to underlying client.""" + client, mock_inner = mock_client + mock_inner.deactivate_cube_workflow.return_value = {"status": "deactivated"} + + client.deactivate_cube_workflow( + "test.cube", + version="v3", + request_headers={"X-Test": "1"}, + ) + + mock_inner.deactivate_cube_workflow.assert_called_once_with( + cube_name="test.cube", + version="v3", + request_headers={"X-Test": "1"}, + ) + + def test_run_cube_backfill(self, mock_client): + """Test run_cube_backfill delegates to underlying client.""" + client, mock_inner = mock_client + mock_inner.run_cube_backfill.return_value = {"job_url": "http://job1"} + + backfill_input = CubeBackfillInput( + cube_name="test.cube", + cube_version="v1.0", + start_date=date(2024, 1, 1), + end_date=date(2024, 1, 31), + ) + client.run_cube_backfill(backfill_input, request_headers={"X-Test": "1"}) + + mock_inner.run_cube_backfill.assert_called_once_with( + backfill_input=backfill_input, + request_headers={"X-Test": "1"}, + ) diff --git a/datajunction-server/tests/query_clients/snowflake_query_client_test.py b/datajunction-server/tests/query_clients/snowflake_query_client_test.py new file mode 100644 index 000000000..297dc8f99 --- /dev/null +++ b/datajunction-server/tests/query_clients/snowflake_query_client_test.py @@ -0,0 +1,111 @@ +"""Test SnowflakeClient.""" + +from unittest.mock import MagicMock, patch +import pytest + + +def test_snowflake_client_import_error(): + """Test SnowflakeClient handles missing snowflake-connector-python.""" + with patch( + "datajunction_server.query_clients.snowflake.SNOWFLAKE_AVAILABLE", + False, + ): + from datajunction_server.query_clients.snowflake import SnowflakeClient + + with pytest.raises(ImportError) as exc_info: + SnowflakeClient(account="test", user="test") + + assert "datajunction-server[snowflake]" in str(exc_info.value) + assert "snowflake-connector-python" in str(exc_info.value) + + +def test_get_database_from_engine_empty_database(): + """Test _get_database_from_engine when path parsing yields empty database name.""" + from datajunction_server.query_clients.snowflake import SnowflakeClient + + with patch( + "datajunction_server.query_clients.snowflake.SNOWFLAKE_AVAILABLE", + True, + ): + client = SnowflakeClient( + account="test_account", + user="test_user", + password="test_pass", + database="default_db", + ) + + # Mock an engine with a URI that has a path but empty database + mock_engine = MagicMock() + mock_engine.uri = "snowflake://user:pass@account//" + + result = client._get_database_from_engine(mock_engine, "fallback_catalog") + assert result == "default_db" + + +def test_get_database_from_engine_with_query_params(): + """Test _get_database_from_engine extracting database from query parameters.""" + from datajunction_server.query_clients.snowflake import SnowflakeClient + + with patch( + "datajunction_server.query_clients.snowflake.SNOWFLAKE_AVAILABLE", + True, + ): + client = SnowflakeClient( + account="test_account", + user="test_user", + password="test_pass", + database="default_db", + ) + + # Mock an engine with database in query parameters + mock_engine = MagicMock() + mock_engine.uri = "snowflake://user:pass@account?database=query_db&warehouse=wh" + + result = client._get_database_from_engine(mock_engine, "fallback_catalog") + assert result == "query_db" + + +def test_map_snowflake_type_to_dj_parameterized_types(): + """Test _map_snowflake_type_to_dj with parameterized NUMBER, DECIMAL, and NUMERIC types.""" + from datajunction_server.query_clients.snowflake import SnowflakeClient + from datajunction_server.sql.parsing.types import DecimalType + + with patch( + "datajunction_server.query_clients.snowflake.SNOWFLAKE_AVAILABLE", + True, + ): + client = SnowflakeClient( + account="test_account", + user="test_user", + password="test_pass", + ) + + # Test NUMBER with precision and scale + result = client._map_snowflake_type_to_dj("NUMBER(10,2)") + assert isinstance(result, DecimalType) + assert result.precision == 10 + assert result.scale == 2 + + # Test DECIMAL with precision and scale + result = client._map_snowflake_type_to_dj("DECIMAL(5,3)") + assert isinstance(result, DecimalType) + assert result.precision == 5 + assert result.scale == 3 + + # Test NUMERIC with precision and scale + result = client._map_snowflake_type_to_dj("NUMERIC(8,1)") + assert isinstance(result, DecimalType) + assert result.precision == 8 + assert result.scale == 1 + + # Test with precision only (scale defaults to 0) + result = client._map_snowflake_type_to_dj("NUMBER(15)") + assert isinstance(result, DecimalType) + assert result.precision == 15 + assert result.scale == 0 + + # Test lowercase type names + result = client._map_snowflake_type_to_dj("decimal(12,4)") + assert isinstance(result, DecimalType) + assert result.precision == 12 + assert result.scale == 4 diff --git a/datajunction-server/tests/service_clients_test.py b/datajunction-server/tests/service_clients_test.py new file mode 100644 index 000000000..db802b555 --- /dev/null +++ b/datajunction-server/tests/service_clients_test.py @@ -0,0 +1,1183 @@ +""" +Tests for ``datajunction_server.service_clients``. +""" + +from datetime import date +from unittest.mock import ANY, MagicMock + +import pytest +from pytest_mock import MockerFixture +from requests import Request + +from datajunction_server.database.engine import Engine +from datajunction_server.errors import ( + DJDoesNotExistException, + DJQueryServiceClientEntityNotFound, + DJQueryServiceClientException, +) +from datajunction_server.models.cube_materialization import ( + CubeMetric, + CubeMaterializationV2Input, + DruidCubeMaterializationInput, + MeasureKey, + NodeNameVersion, +) +from datajunction_server.models.materialization import ( + GenericMaterializationInput, + MaterializationInfo, + MaterializationStrategy, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.models.partition import PartitionBackfill +from datajunction_server.models.preaggregation import CubeBackfillInput +from datajunction_server.models.query import QueryCreate +from datajunction_server.service_clients import ( + QueryServiceClient, + RequestsSessionWithEndpoint, +) + + +class TestRequestsSessionWithEndpoint: + """ + Test using requests session with endpoint. + """ + + example_endpoint = "http://pieservice:7020" + + @pytest.fixture + def requests_session(self) -> RequestsSessionWithEndpoint: + """ + Create a requests session. + """ + return RequestsSessionWithEndpoint(endpoint=self.example_endpoint) + + def test_prepare_request( + self, + requests_session: RequestsSessionWithEndpoint, + ) -> None: + """ + Test preparing request + """ + req = Request( + "GET", + f"{self.example_endpoint}/pies/?flavor=blueberry", + data=None, + ) + prepped = requests_session.prepare_request(req) + assert prepped.headers["Connection"] == "keep-alive" + + def test_make_requests( + self, + mocker: MockerFixture, + requests_session: RequestsSessionWithEndpoint, + ): + """ + Test making requests. + """ + mock_request = mocker.patch("requests.Session.request") + + requests_session.get("/pies/") + mock_request.assert_called_with( + "GET", + f"{self.example_endpoint}/pies/", + allow_redirects=True, + ) + + requests_session.post("/pies/", json={"flavor": "blueberry", "diameter": 10}) + mock_request.assert_called_with( + "POST", + f"{self.example_endpoint}/pies/", + data=None, + json={"flavor": "blueberry", "diameter": 10}, + ) + + +class TestQueryServiceClient: + """ + Test using the query service client. + """ + + endpoint = "http://queryservice:8001" + + def test_query_service_client_get_columns_for_table( + self, + mocker: MockerFixture, + ) -> None: + """ + Test the query service client. + """ + + mock_request = mocker.patch("requests.Session.request") + mock_request.return_value = MagicMock(status_code=200, text="Unknown") + query_service_client = QueryServiceClient(uri=self.endpoint) + query_service_client.get_columns_for_table("hive", "test", "pies") + mock_request.assert_called_with( + "GET", + "http://queryservice:8001/table/hive.test.pies/columns/", + params={}, + allow_redirects=True, + headers=ANY, + ) + + query_service_client.get_columns_for_table( + "hive", + "test", + "pies", + engine=Engine(name="spark", version="2.4.4"), + ) + mock_request.assert_called_with( + "GET", + "http://queryservice:8001/table/hive.test.pies/columns/", + params={"engine": "spark", "engine_version": "2.4.4"}, + allow_redirects=True, + headers=ANY, + ) + + # failed request with unknown reason + mock_request = mocker.patch("requests.Session.request") + mock_request.return_value = MagicMock(status_code=400, text="Unknown") + query_service_client = QueryServiceClient(uri=self.endpoint) + with pytest.raises(DJQueryServiceClientException) as exc_info: + query_service_client.get_columns_for_table("hive", "test", "pies") + assert "Error response from query service" in str(exc_info.value) + + # failed request with table not found + mock_request = mocker.patch("requests.Session.request") + mock_request.return_value = MagicMock(status_code=404, text="Table not found") + with pytest.raises(DJDoesNotExistException) as exc_info: + query_service_client.get_columns_for_table("hive", "test", "pies") + assert "Table not found" in str(exc_info.value) + + # no columns returned + mock_request = mocker.patch("requests.Session.request") + mock_request.return_value = MagicMock( + status_code=200, + json=MagicMock(return_value={"columns": []}), + ) + with pytest.raises(DJDoesNotExistException) as exc_info: + query_service_client.get_columns_for_table("hive", "test", "pies") + assert "No columns found" in str(exc_info.value) + + def test_query_service_client_create_view(self, mocker: MockerFixture) -> None: + """ + Test creating a view using the query service client. + """ + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "catalog_name": "public", + "engine_name": "postgres", + "engine_version": "15.2", + "id": "ef209eef-c31a-4089-aae6-833259a08e22", + "submitted_query": "CREATE OR REPLACE VIEW foo SELECT 1 as num", + "executed_query": "CREATE OR REPLACE VIEW foo SELECT 1 as num", + "scheduled": "2023-01-01T00:00:00.000000", + "started": "2023-01-01T00:00:00.000000", + "finished": "2023-01-01T00:00:00.000001", + "state": "FINISHED", + "progress": 1, + "results": [], + "next": None, + "previous": None, + "errors": [], + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + # successful request + query_service_client = QueryServiceClient(uri=self.endpoint) + query_create = QueryCreate( + catalog_name="default", + engine_name="postgres", + engine_version="15.2", + submitted_query="CREATE OR REPLACE VIEW foo SELECT 1 as num", + async_=False, + ) + query_service_client.create_view( + view_name="foo", + query_create=query_create, + ) + + mock_request.assert_called_with( + "/queries/", + headers=ANY, + json={ + "catalog_name": "default", + "engine_name": "postgres", + "engine_version": "15.2", + "submitted_query": "CREATE OR REPLACE VIEW foo SELECT 1 as num", + "async_": False, + }, + ) + + def test_query_service_client_create_view_with_failure( + self, + mocker: MockerFixture, + ) -> None: + """ + Test creating a view using the query service client with a filed response. + """ + + mock_response = MagicMock() + mock_response.status_code = 500 + mock_response.text = "Internal server error" + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + # successful request + query_service_client = QueryServiceClient(uri=self.endpoint) + query_create = QueryCreate( + catalog_name="default", + engine_name="postgres", + engine_version="15.2", + submitted_query="CREATE OR REPLACE VIEW foo SELECT 1 as num", + async_=False, + ) + + with pytest.raises(DJQueryServiceClientException) as exc_info: + query_service_client.create_view( + view_name="foo", + query_create=query_create, + ) + assert "Error response from query service: Internal server error" in str( + exc_info.value, + ) + + mock_request.assert_called_with( + "/queries/", + headers=ANY, + json={ + "catalog_name": "default", + "engine_name": "postgres", + "engine_version": "15.2", + "submitted_query": "CREATE OR REPLACE VIEW foo SELECT 1 as num", + "async_": False, + }, + ) + + def test_query_service_client_submit_query(self, mocker: MockerFixture) -> None: + """ + Test submitting a query to a query service client. + """ + + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "catalog_name": "public", + "engine_name": "postgres", + "engine_version": "15.2", + "id": "ef209eef-c31a-4089-aae6-833259a08e22", + "submitted_query": "SELECT 1 as num", + "executed_query": "SELECT 1 as num", + "scheduled": "2023-01-01T00:00:00.000000", + "started": "2023-01-01T00:00:00.000000", + "finished": "2023-01-01T00:00:00.000001", + "state": "FINISHED", + "progress": 1, + "results": [ + { + "sql": "SELECT 1 as num", + "columns": [{"name": "num", "type": "STR"}], + "rows": [[1]], + "row_count": 1, + }, + ], + "next": None, + "previous": None, + "errors": [], + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + query_create = QueryCreate( + catalog_name="default", + engine_name="postgres", + engine_version="15.2", + submitted_query="SELECT 1", + async_=False, + ) + query_service_client.submit_query( + query_create, + ) + + mock_request.assert_called_with( + "/queries/", + headers=ANY, + json={ + "catalog_name": "default", + "engine_name": "postgres", + "engine_version": "15.2", + "submitted_query": "SELECT 1", + "async_": False, + }, + ) + + def test_query_service_client_get_query(self, mocker: MockerFixture) -> None: + """ + Test getting a previously submitted query from a query service client. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "catalog_name": "public", + "engine_name": "postgres", + "engine_version": "15.2", + "id": "ef209eef-c31a-4089-aae6-833259a08e22", + "submitted_query": "SELECT 1 as num", + "executed_query": "SELECT 1 as num", + "scheduled": "2023-01-01T00:00:00.000000", + "started": "2023-01-01T00:00:00.000000", + "finished": "2023-01-01T00:00:00.000001", + "state": "FINISHED", + "progress": 1, + "results": [ + { + "sql": "SELECT 1 as num", + "columns": [{"name": "num", "type": "STR"}], + "rows": [[1]], + "row_count": 1, + }, + ], + "next": None, + "previous": None, + "errors": [], + "database_id": 1, # Will be deprecated soon in favor of catalog + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.get", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + query_service_client.get_query( + "ef209eef-c31a-4089-aae6-833259a08e22", + ) + + mock_request.assert_called_with( + "/queries/ef209eef-c31a-4089-aae6-833259a08e22/", + headers=ANY, + ) + + def test_query_service_client_materialize(self, mocker: MockerFixture) -> None: + """ + Test materialize from a query service client. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "urls": ["http://fake.url/job"], + "output_tables": ["common.a", "common.b"], + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + query_service_client.materialize( + GenericMaterializationInput( + name="default", + job="SparkSqlMaterializationJob", + strategy=MaterializationStrategy.FULL, + node_name="default.hard_hat", + node_version="v1", + node_type=NodeType.DIMENSION, + schedule="0 * * * *", + query="", + spark_conf={}, + upstream_tables=["default.hard_hats"], + partitions=[], + columns=[], + ), + ) + + mock_request.assert_called_with( + "/materialization/", + json={ + "name": "default", + "job": "SparkSqlMaterializationJob", + "strategy": "full", + "node_name": "default.hard_hat", + "node_version": "v1", + "node_type": "dimension", + "partitions": [], + "query": "", + "schedule": "0 * * * *", + "spark_conf": {}, + "upstream_tables": ["default.hard_hats"], + "columns": [], + "lookback_window": "1 DAY", + }, + headers=ANY, + ) + + def test_query_service_client_deactivate_materialization( + self, + mocker: MockerFixture, + ) -> None: + """ + Test deactivate materialization from a query service client. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "urls": ["http://fake.url/job"], + "output_tables": ["common.a", "common.b"], + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.delete", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + query_service_client.deactivate_materialization( + node_name="default.hard_hat", + materialization_name="default", + ) + + mock_request.assert_called_with( + "/materialization/default.hard_hat/default/", + headers=ANY, + json={}, + ) + + def test_query_service_client_raising_error(self, mocker: MockerFixture) -> None: + """ + Test handling an error response from the query service client + """ + mock_400_response = MagicMock() + mock_400_response.status_code = 400 + mock_400_response.text = "Bad request error" + + mock_404_response = MagicMock() + mock_404_response.status_code = 404 + mock_404_response.text = "Query not found" + + query_service_client = QueryServiceClient(uri=self.endpoint) + + with mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.get", + return_value=mock_400_response, + ): + with pytest.raises(DJQueryServiceClientException) as exc_info: + query_service_client.get_query( + "ef209eef-c31a-4089-aae6-833259a08e22", + ) + assert "Bad request error" in str(exc_info.value) + + with mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.get", + return_value=mock_404_response, + ): + with pytest.raises(DJQueryServiceClientEntityNotFound) as exc_info: + query_service_client.get_query( + "ef209eef-c31a-4089-aae6-833259a08e22", + ) + assert "Query not found" in str(exc_info.value) + + query_create = QueryCreate( + catalog_name="hive", + engine_name="postgres", + engine_version="15.2", + submitted_query="SELECT 1", + async_=False, + ) + + with mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_400_response, + ): + with pytest.raises(DJQueryServiceClientException) as exc_info: + query_service_client.submit_query( + query_create, + ) + assert "Bad request error" in str(exc_info.value) + + def test_materialize(self, mocker: MockerFixture) -> None: + """ + Test get materialization urls for a given node materialization + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "urls": ["http://fake.url/job"], + "output_tables": ["common.a", "common.b"], + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.materialize( + GenericMaterializationInput( + name="default", + job="SparkSqlMaterializationJob", + strategy=MaterializationStrategy.FULL, + node_name="default.hard_hat", + node_version="v1", + node_type=NodeType.DIMENSION, + schedule="0 * * * *", + query="", + spark_conf={}, + upstream_tables=["default.hard_hats"], + partitions=[], + columns=[], + ), + ) + mock_request.assert_called_with( + "/materialization/", + json={ + "name": "default", + "job": "SparkSqlMaterializationJob", + "lookback_window": "1 DAY", + "strategy": "full", + "node_name": "default.hard_hat", + "node_version": "v1", + "node_type": "dimension", + "schedule": "0 * * * *", + "query": "", + "upstream_tables": ["default.hard_hats"], + "spark_conf": {}, + "partitions": [], + "columns": [], + }, + headers=ANY, + ) + assert response == MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + + def test_get_materialization_info(self, mocker: MockerFixture) -> None: + """ + Test get materialization urls for a given node materialization + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "urls": ["http://fake.url/job"], + "output_tables": ["common.a", "common.b"], + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.get", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.get_materialization_info( + node_name="default.hard_hat", + node_version="v3.1", + node_type=NodeType.DIMENSION, + materialization_name="default", + ) + mock_request.assert_called_with( + "/materialization/default.hard_hat/v3.1/default/?node_type=dimension", + timeout=3, + headers=ANY, + ) + assert response == MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + + def test_get_materialization_info_error(self, mocker: MockerFixture) -> None: + """ + Test get materialization info with errors + """ + mock_response = MagicMock() + mock_response.status_code = 500 + mock_response.json.return_value = {"message": "An error has occurred"} + + mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.get", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.get_materialization_info( + node_name="default.hard_hat", + node_version="v3.1", + node_type=NodeType.DIMENSION, + materialization_name="default", + ) + assert response == MaterializationInfo( + urls=[], + output_tables=[], + ) + + def test_run_backfill(self, mocker: MockerFixture) -> None: + """ + Test running backfill on temporal partitions and categorical partitions + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "urls": ["http://fake.url/job"], + "output_tables": [], + } + + mocked_call = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.run_backfill( + node_name="default.hard_hat", + node_version="v1", + node_type=NodeType.DIMENSION, + partitions=[ + PartitionBackfill( + column_name="hire_date", + range=["20230101", "20230201"], + ), + ], + materialization_name="default", + ) + assert response == MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=[], + ) + mocked_call.assert_called_with( + "/materialization/run/default.hard_hat/default/?node_version=v1&node_type=dimension", + json=[ + { + "column_name": "hire_date", + "range": ["20230101", "20230201"], + "values": None, + }, + ], + timeout=20, + headers=ANY, + ) + + mocked_call.reset_mock() + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.run_backfill( + node_name="default.hard_hat", + node_version="v1", + node_type=NodeType.DIMENSION, + partitions=[ + PartitionBackfill( + column_name="hire_date", + range=["20230101", "20230201"], + ), + PartitionBackfill( + column_name="state", + values=["CA", "DE"], + ), + ], + materialization_name="default", + ) + assert response == MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=[], + ) + mocked_call.assert_called_with( + "/materialization/run/default.hard_hat/default/?node_version=v1&node_type=dimension", + json=[ + { + "column_name": "hire_date", + "range": ["20230101", "20230201"], + "values": None, + }, + { + "column_name": "state", + "range": None, + "values": ["CA", "DE"], + }, + ], + timeout=20, + headers=ANY, + ) + + def test_materialize_cube(self, mocker: MockerFixture) -> None: + """ + Test materialize cube via query service client + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "urls": ["http://fake.url/job"], + "output_tables": ["common.a", "common.b"], + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + materialization_input = DruidCubeMaterializationInput( + name="default", + strategy=MaterializationStrategy.INCREMENTAL_TIME, + schedule="@daily", + job="DruidCubeMaterialization", + cube=NodeNameVersion(name="default.repairs_cube", version="v1.0"), + dimensions=["default.hard_hat.first_name", "default.hard_hat.last_name"], + metrics=[ + CubeMetric( + metric=NodeNameVersion( + name="default.num_repair_orders", + version="v1.0", + display_name=None, + ), + required_measures=[ + MeasureKey( + node=NodeNameVersion( + name="default.repair_orders", + version="v1.0", + ), + measure_name="count", + ), + ], + derived_expression="SELECT SUM(count) FROM default.repair_orders", + metric_expression="SUM(count)", + ), + CubeMetric( + metric=NodeNameVersion( + name="default.avg_repair_price", + version="v1.0", + display_name=None, + ), + required_measures=[ + MeasureKey( + node=NodeNameVersion( + name="default.repair_orders", + version="v1.0", + ), + measure_name="sum_price_123abc", + ), + ], + derived_expression="SELECT SUM(sum_price_123abc) FROM default.repair_orders", + metric_expression="SUM(sum_price_123abc)", + ), + ], + measures_materializations=[], + combiners=[], + ) + response = query_service_client.materialize_cube(materialization_input) + mock_request.assert_called_with( + "/cubes/materialize", + json=materialization_input.model_dump(), + timeout=20, + headers=ANY, + ) + assert response == MaterializationInfo( + urls=["http://fake.url/job"], + output_tables=["common.a", "common.b"], + ) + + def test_materialize_preagg(self, mocker: MockerFixture) -> None: + """ + Test materialize_preagg via query service client. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "workflow_url": "http://fake.url/workflow/123", + "status": "SCHEDULED", + "output_tables": ["common.preagg_table"], + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + # Create a mock materialization input + mock_input = MagicMock() + mock_input.preagg_id = 123 + mock_input.output_table = "common.preagg_table" + mock_input.model_dump.return_value = { + "preagg_id": 123, + "output_table": "common.preagg_table", + "query": "SELECT * FROM test", + "schedule": "0 * * * *", + } + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.materialize_preagg(mock_input) + + mock_request.assert_called_with( + "/preaggs/materialize", + json={ + "preagg_id": 123, + "output_table": "common.preagg_table", + "query": "SELECT * FROM test", + "schedule": "0 * * * *", + }, + headers=ANY, + timeout=30, + ) + assert response == { + "workflow_url": "http://fake.url/workflow/123", + "status": "SCHEDULED", + "output_tables": ["common.preagg_table"], + } + + def test_materialize_preagg_with_error(self, mocker: MockerFixture) -> None: + """ + Test materialize_preagg error handling. + """ + mock_response = MagicMock() + mock_response.status_code = 500 + mock_response.text = "Internal server error" + + mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + mock_input = MagicMock() + mock_input.preagg_id = 123 + mock_input.output_table = "common.preagg_table" + mock_input.model_dump.return_value = {"preagg_id": 123} + + query_service_client = QueryServiceClient(uri=self.endpoint) + with pytest.raises(Exception) as exc_info: + query_service_client.materialize_preagg(mock_input) + assert "Query service error" in str(exc_info.value) + + def test_deactivate_preagg_workflow(self, mocker: MockerFixture) -> None: + """ + Test deactivate_preagg_workflow via query service client. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = '{"status": "DEACTIVATED"}' + mock_response.json.return_value = {"status": "DEACTIVATED"} + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.delete", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.deactivate_preagg_workflow( + output_table="test_preagg_table", + ) + + mock_request.assert_called_with( + "/preaggs/test_preagg_table/workflow", + headers=ANY, + timeout=20, + ) + assert response == {"status": "DEACTIVATED"} + + def test_deactivate_preagg_workflow_empty_response( + self, + mocker: MockerFixture, + ) -> None: + """ + Test deactivate_preagg_workflow with empty response body (204). + """ + mock_response = MagicMock() + mock_response.status_code = 204 + mock_response.text = "" + + mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.delete", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.deactivate_preagg_workflow( + output_table="another_preagg_table", + ) + + assert response == {} + + def test_deactivate_preagg_workflow_with_error( + self, + mocker: MockerFixture, + ) -> None: + """ + Test deactivate_preagg_workflow error handling. + """ + mock_response = MagicMock() + mock_response.status_code = 404 + mock_response.text = "Workflow not found" + + mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.delete", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + with pytest.raises(Exception) as exc_info: + query_service_client.deactivate_preagg_workflow( + output_table="nonexistent_preagg", + ) + assert "Query service error" in str(exc_info.value) + + def test_run_preagg_backfill(self, mocker: MockerFixture) -> None: + """ + Test run_preagg_backfill via query service client. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "job_url": "http://fake.url/job/backfill/123", + "status": "RUNNING", + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + mock_input = MagicMock() + mock_input.preagg_id = 123 + mock_input.model_dump.return_value = { + "preagg_id": 123, + "partitions": [{"column_name": "date", "range": ["20230101", "20230201"]}], + } + + query_service_client = QueryServiceClient(uri=self.endpoint) + response = query_service_client.run_preagg_backfill(mock_input) + + mock_request.assert_called_with( + "/preaggs/backfill", + json={ + "preagg_id": 123, + "partitions": [ + {"column_name": "date", "range": ["20230101", "20230201"]}, + ], + }, + headers=ANY, + timeout=30, + ) + assert response == { + "job_url": "http://fake.url/job/backfill/123", + "status": "RUNNING", + } + + def test_run_preagg_backfill_with_error(self, mocker: MockerFixture) -> None: + """ + Test run_preagg_backfill error handling. + """ + mock_response = MagicMock() + mock_response.status_code = 400 + mock_response.text = "Invalid partition range" + + mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + mock_input = MagicMock() + mock_input.preagg_id = 123 + mock_input.model_dump.return_value = {"preagg_id": 123} + + query_service_client = QueryServiceClient(uri=self.endpoint) + with pytest.raises(Exception) as exc_info: + query_service_client.run_preagg_backfill(mock_input) + assert "Query service error" in str(exc_info.value) + + def test_materialize_cube_v2_success(self, mocker: MockerFixture) -> None: + """ + Test successful v2 cube materialization. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = { + "urls": ["http://workflow1"], + "output_tables": ["druid_ds"], + "status": "created", + } + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + input_data = CubeMaterializationV2Input( + cube_name="test.cube", + cube_version="v1", + preagg_tables=[], + combined_sql="SELECT 1", + combined_columns=[], + combined_grain=[], + druid_datasource="test_ds", + druid_spec={}, + timestamp_column="date_id", + timestamp_format="yyyyMMdd", + strategy=MaterializationStrategy.FULL, + schedule="0 0 * * *", + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + result = query_service_client.materialize_cube_v2(input_data) + + mock_request.assert_called_once() + assert result.urls == ["http://workflow1"] + + def test_materialize_cube_v2_failure(self, mocker: MockerFixture) -> None: + """ + Test v2 cube materialization failure raises exception. + """ + mock_response = MagicMock() + mock_response.status_code = 500 + mock_response.text = "Internal Server Error" + + mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + input_data = CubeMaterializationV2Input( + cube_name="test.cube", + cube_version="v1", + preagg_tables=[], + combined_sql="SELECT 1", + combined_columns=[], + combined_grain=[], + druid_datasource="test_ds", + druid_spec={}, + timestamp_column="date_id", + timestamp_format="yyyyMMdd", + strategy=MaterializationStrategy.FULL, + schedule="0 0 * * *", + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + with pytest.raises(Exception) as exc_info: + query_service_client.materialize_cube_v2(input_data) + assert "Query service error" in str(exc_info.value) + + def test_deactivate_cube_workflow_success(self, mocker: MockerFixture) -> None: + """ + Test successful cube workflow deactivation. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = '{"status": "deactivated"}' + mock_response.json.return_value = {"status": "deactivated"} + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.delete", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + result = query_service_client.deactivate_cube_workflow("test.cube") + + mock_request.assert_called_once() + # Verify URL doesn't have version parameter + assert mock_request.call_args[0][0] == "/cubes/test.cube/workflow" + assert result["status"] == "deactivated" + + def test_deactivate_cube_workflow_with_version(self, mocker: MockerFixture) -> None: + """ + Test cube workflow deactivation with version parameter. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = '{"status": "deactivated"}' + mock_response.json.return_value = {"status": "deactivated"} + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.delete", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + result = query_service_client.deactivate_cube_workflow( + "test.cube", + version="v3", + ) + + mock_request.assert_called_once() + # Verify URL has version parameter + assert mock_request.call_args[0][0] == "/cubes/test.cube/workflow?version=v3" + assert result["status"] == "deactivated" + + def test_deactivate_cube_workflow_failure_returns_failed_status( + self, + mocker: MockerFixture, + ) -> None: + """ + Test cube workflow deactivation failure returns failed status (doesn't raise). + """ + mock_response = MagicMock() + mock_response.status_code = 404 + mock_response.text = "Not Found" + + mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.delete", + return_value=mock_response, + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + result = query_service_client.deactivate_cube_workflow("test.cube") + # Should NOT raise, should return failed status + assert result["status"] == "failed" + + def test_run_cube_backfill_success(self, mocker: MockerFixture) -> None: + """ + Test successful cube backfill. + """ + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.json.return_value = {"job_url": "http://backfill-job"} + + mock_request = mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + backfill_input = CubeBackfillInput( + cube_name="test.cube", + cube_version="v1.0", + start_date=date(2024, 1, 1), + end_date=date(2024, 1, 31), + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + result = query_service_client.run_cube_backfill(backfill_input) + + mock_request.assert_called_once() + assert result["job_url"] == "http://backfill-job" + + def test_run_cube_backfill_failure(self, mocker: MockerFixture) -> None: + """ + Test cube backfill failure raises exception. + """ + mock_response = MagicMock() + mock_response.status_code = 500 + mock_response.text = "Internal Server Error" + + mocker.patch( + "datajunction_server.service_clients.RequestsSessionWithEndpoint.post", + return_value=mock_response, + ) + + backfill_input = CubeBackfillInput( + cube_name="test.cube", + cube_version="v1.0", + start_date=date(2024, 1, 1), + end_date=date(2024, 1, 31), + ) + + query_service_client = QueryServiceClient(uri=self.endpoint) + with pytest.raises(Exception) as exc_info: + query_service_client.run_cube_backfill(backfill_input) + assert "Query service error" in str(exc_info.value) diff --git a/datajunction-server/tests/sql/__init__.py b/datajunction-server/tests/sql/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/sql/dag_test.py b/datajunction-server/tests/sql/dag_test.py new file mode 100644 index 000000000..f0eca3ebf --- /dev/null +++ b/datajunction-server/tests/sql/dag_test.py @@ -0,0 +1,2341 @@ +""" +Tests for ``datajunction_server.sql.dag``. +""" + +import datetime +from unittest.mock import MagicMock, patch +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.database.column import Column +from datajunction_server.database.database import Database +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.database.dimensionlink import DimensionLink +from datajunction_server.errors import DJException +from datajunction_server.models.node import DimensionAttributeOutput, NodeType +from datajunction_server.sql.dag import ( + get_common_dimensions, + get_dimensions, + get_downstream_nodes, + get_metric_parents_map, + get_nodes_with_common_dimensions, + get_shared_dimensions, + topological_sort, + get_dimension_dag_indegree, +) +from datajunction_server.sql.parsing.types import IntegerType, StringType + + +@pytest.mark.asyncio +async def test_get_dimensions(session: AsyncSession, current_user: User) -> None: + """ + Test ``get_dimensions``. + """ + database = Database(id=1, name="one", URI="sqlite://") + session.add(database) + + dimension_ref = Node( + name="B", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dimension = NodeRevision( + node=dimension_ref, + name=dimension_ref.name, + type=dimension_ref.type, + display_name="B", + version="1", + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="attribute", type=StringType(), order=1), + ], + created_by_id=current_user.id, + ) + dimension_ref.current = dimension + session.add(dimension) + session.add(dimension_ref) + + parent_ref = Node( + name="A", + current_version="1", + type=NodeType.SOURCE, + created_by_id=current_user.id, + ) + parent = NodeRevision( + node=parent_ref, + name=parent_ref.name, + type=parent_ref.type, + display_name="A", + version="1", + columns=[ + Column(name="ds", type=StringType(), order=0), + Column(name="b_id", type=IntegerType(), dimension=dimension_ref, order=1), + ], + created_by_id=current_user.id, + ) + parent_ref.current = parent + session.add(parent) + session.add(parent_ref) + + child_ref = Node( + name="C", + current_version="1", + type=NodeType.METRIC, + created_by_id=current_user.id, + ) + child = NodeRevision( + node=child_ref, + name=child_ref.name, + display_name="C", + version="1", + query="SELECT COUNT(*) FROM A", + parents=[parent_ref], + type=NodeType.METRIC, + created_by_id=current_user.id, + ) + child_ref.current = child + session.add(child) + session.add(child_ref) + await session.commit() + + assert await get_dimensions(session, child_ref) == [ + DimensionAttributeOutput( + name="B.attribute", + node_name="B", + node_display_name="B", + properties=[], + type="string", + path=["A.b_id"], + filter_only=False, + ), + DimensionAttributeOutput( + name="B.id", + node_name="B", + node_display_name="B", + properties=[], + type="int", + path=["A.b_id"], + filter_only=False, + ), + ] + + +@pytest.mark.asyncio +async def test_topological_sort(session: AsyncSession) -> None: + """ + Test ``topological_sort``. + """ + node_a = Node(name="test.A", type=NodeType.TRANSFORM) + node_rev_a = NodeRevision( + node=node_a, + name=node_a.name, + parents=[], + ) + node_a.current = node_rev_a + session.add(node_a) + session.add(node_rev_a) + + node_b = Node(name="test.B", type=NodeType.TRANSFORM) + node_rev_b = NodeRevision( + node=node_b, + name=node_b.name, + parents=[node_a], + ) + node_b.current = node_rev_b + session.add(node_b) + session.add(node_rev_b) + + node_c = Node(name="test.C", type=NodeType.TRANSFORM) + node_rev_c = NodeRevision( + node=node_c, + name=node_c.name, + parents=[], + ) + node_c.current = node_rev_c + session.add(node_c) + session.add(node_rev_c) + + node_d = Node(name="test.D", type=NodeType.TRANSFORM) + node_rev_c.parents = [node_b, node_d] + node_rev_d = NodeRevision( + node=node_d, + name=node_d.name, + parents=[node_a], + ) + node_d.current = node_rev_d + session.add(node_d) + session.add(node_rev_d) + + node_e = Node(name="test.E", type=NodeType.TRANSFORM) + node_rev_e = NodeRevision( + node=node_e, + name=node_e.name, + parents=[node_c, node_b], + ) + node_e.current = node_rev_e + session.add(node_e) + session.add(node_rev_e) + + node_f = Node(name="test.F", type=NodeType.TRANSFORM) + node_rev_d.parents.append(node_f) + node_rev_f = NodeRevision( + node=node_f, + name=node_f.name, + parents=[node_e], + ) + node_f.current = node_rev_f + session.add(node_f) + session.add(node_rev_f) + + ordering = topological_sort([node_a, node_b, node_c, node_d, node_e]) + assert [node.name for node in ordering] == [ + node_a.name, + node_b.name, + node_d.name, + node_c.name, + node_e.name, + ] + with pytest.raises(DJException) as exc_info: + topological_sort([node_a, node_b, node_c, node_d, node_e, node_f]) + assert "Graph has at least one cycle" in str(exc_info) + + +@pytest.mark.asyncio +class TestGetDimensionDagIndegree: + """ + Tests for ``get_dimension_dag_indegree``. + """ + + @pytest.fixture(autouse=True) + async def dimension_test_graph(self, session: AsyncSession, current_user: User): + """ + Creates a reusable test graph with dimensions and facts. + """ + dim1 = Node( + name="default.dim1", + type=NodeType.DIMENSION, + created_by_id=current_user.id, + ) + dim1_rev = NodeRevision( + node=dim1, + type=dim1.type, + name=dim1.name, + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="attribute1", type=StringType(), order=1), + ], + ) + + dim2 = Node( + name="default.dim2", + type=NodeType.DIMENSION, + created_by_id=current_user.id, + ) + dim2_rev = NodeRevision( + node=dim2, + type=dim2.type, + name=dim2.name, + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="attribute2", type=StringType(), order=1), + ], + ) + dim3 = Node( + name="default.dim3", + type=NodeType.DIMENSION, + created_by_id=current_user.id, + ) + dim3_rev = NodeRevision( + node=dim3, + type=dim3.type, + name=dim3.name, + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + ], + ) + session.add_all([dim1, dim1_rev, dim2, dim2_rev, dim3, dim3_rev]) + await session.flush() + + fact = Node( + name="default.fact1", + type=NodeType.TRANSFORM, + created_by_id=current_user.id, + ) + fact_rev = NodeRevision( + node=fact, + type=fact.type, + name=fact.name, + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="dim1_id", type=IntegerType(), order=1), + Column(name="dim2_id", type=IntegerType(), order=2), + ], + ) + + fact2 = Node( + name="default.fact2", + type=NodeType.TRANSFORM, + created_by_id=current_user.id, + ) + fact2_rev = NodeRevision( + node=fact2, + type=fact2.type, + name=fact2.name, + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="dim1_id", type=IntegerType(), order=1), + ], + ) + session.add_all([fact, fact_rev, fact2, fact2_rev]) + await session.flush() + + link1 = DimensionLink( + dimension_id=dim1.id, + node_revision_id=fact_rev.id, + join_sql="default.fact1.dim1_id = default.dim1.id", + ) + link2 = DimensionLink( + dimension_id=dim2.id, + node_revision_id=fact_rev.id, + join_sql="default.fact1.dim1_id = default.dim2.id", + ) + link3 = DimensionLink( + dimension_id=dim2.id, + node_revision_id=fact2_rev.id, + join_sql="default.fact2.dim1_id = default.dim2.id", + ) + + session.add_all([link1, link2, link3]) + await session.commit() + + dim4 = Node( + name="default.deactivated_dim", + type=NodeType.DIMENSION, + created_by_id=current_user.id, + deactivated_at=datetime.datetime.now(datetime.timezone.utc), + ) + session.add(dim4) + await session.commit() + + @pytest.mark.parametrize( + "node_names, expected", + [ + # dim1 linked once, dim2 linked twice + (["default.dim1", "default.dim2"], {"default.dim1": 1, "default.dim2": 2}), + # dim3 not linked + (["default.dim3"], {"default.dim3": 0}), + # Non-dimension node: should return 0 + (["default.fact1"], {"default.fact1": 0}), + # Nonexistent node: should skip + (["nonexistent.dim"], {}), + # Deactivated dimension should not be included + ( + ["default.dim1", "default.fact1", "default.deactivated_dim"], + {"default.dim1": 1, "default.fact1": 0}, + ), + ], + ) + @pytest.mark.asyncio + async def test_get_dimension_dag_indegree( + self, + session: AsyncSession, + dimension_test_graph, + node_names: list[str], + expected: dict[str, int], + ): + """ + Check that ``get_dimension_dag_indegree`` returns the correct indegree + counts for dimension nodes. + """ + result = await get_dimension_dag_indegree(session, node_names) + assert result == expected + + @pytest.mark.asyncio + async def test_node_downstreams_with_fanout( + self, + module__session: AsyncSession, + module__client_with_roads, + ): + """ + Test getting downstream nodes with the BFS and recursive CTE approaches yield the same results. + """ + expected_nodes = set( + [ + "default.regional_level_agg", + "default.repair_orders_fact", + "default.repair_order", + "default.discounted_orders_rate", + "default.total_repair_order_discounts", + "default.avg_repair_order_discounts", + "default.avg_time_to_dispatch", + "default.regional_repair_efficiency", + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.avg_repair_price", + "default.total_repair_cost", + ], + ) + + # BFS + min_fanout_settings = MagicMock() + min_fanout_settings.fanout_threshold = 1 + min_fanout_settings.reader_db.pool_size = 20 + min_fanout_settings.max_concurrency = 5 + min_fanout_settings.node_list_max = 10000 + with patch("datajunction_server.sql.dag.settings", min_fanout_settings): + downstreams = await get_downstream_nodes( + module__session, + "default.repair_orders", + ) + assert {ds.name for ds in downstreams} == expected_nodes + + # Only look for downstreams up to depth 1 + downstreams = await get_downstream_nodes( + module__session, + "default.repair_orders", + depth=1, + ) + assert {ds.name for ds in downstreams} == { + "default.regional_level_agg", + "default.repair_order", + "default.repair_orders_fact", + } + + # Recursive CTE + max_fanout_settings = MagicMock() + max_fanout_settings.fanout_threshold = 100 + max_fanout_settings.reader_db.pool_size = 20 + max_fanout_settings.max_concurrency = 5 + max_fanout_settings.node_list_max = 10000 + with patch("datajunction_server.sql.dag.settings", max_fanout_settings): + downstreams = await get_downstream_nodes( + module__session, + "default.repair_orders", + ) + assert {ds.name for ds in downstreams} == expected_nodes + + # Maximum number of downstream nodes returned + max_node_list_settings = MagicMock() + max_node_list_settings.fanout_threshold = 1 + max_node_list_settings.reader_db.pool_size = 20 + max_node_list_settings.max_concurrency = 5 + max_node_list_settings.node_list_max = 5 + with patch("datajunction_server.sql.dag.settings", max_node_list_settings): + downstreams = await get_downstream_nodes( + module__session, + "default.repair_orders", + ) + assert ( + len({ds.name for ds in downstreams}) + == max_node_list_settings.node_list_max + ) + + # Test deactivated + await module__client_with_roads.delete( + "/nodes/default.regional_repair_efficiency", + ) + with patch("datajunction_server.sql.dag.settings", min_fanout_settings): + downstreams = await get_downstream_nodes( + module__session, + "default.repair_orders", + include_deactivated=True, + ) + assert {ds.name for ds in downstreams} == expected_nodes + + # Test cubes + await module__client_with_roads.post( + "/nodes/cube/", + json={ + "metrics": ["default.num_repair_orders", "default.avg_repair_price"], + "dimensions": ["default.hard_hat.country"], + "filters": ["default.hard_hat.state='AZ'"], + "description": "Cube of various metrics related to repairs", + "mode": "published", + "name": "default.repairs_cube", + }, + ) + with patch("datajunction_server.sql.dag.settings", min_fanout_settings): + downstreams = await get_downstream_nodes( + module__session, + "default.repair_orders", + include_cubes=False, + include_deactivated=False, + ) + assert {ds.name for ds in downstreams} == expected_nodes - { + "default.regional_repair_efficiency", + } + + with patch("datajunction_server.sql.dag.settings", min_fanout_settings): + downstreams = await get_downstream_nodes( + module__session, + "default.repair_orders", + node_type=NodeType.METRIC, + ) + assert {ds.name for ds in downstreams} == { + "default.avg_repair_order_discounts", + "default.avg_repair_price", + "default.avg_time_to_dispatch", + "default.discounted_orders_rate", + "default.num_repair_orders", + "default.num_unique_hard_hats_approx", + "default.regional_repair_efficiency", + "default.total_repair_cost", + "default.total_repair_order_discounts", + } + + +@pytest.mark.asyncio +class TestGetNodesWithCommonDimensions: + """ + Tests for ``get_nodes_with_common_dimensions``. + """ + + @pytest.fixture + async def common_dimensions_test_graph( + self, + session: AsyncSession, + current_user: User, + ): + """ + Creates a test graph with dimensions and nodes linked via reference links + and join dimension links. + """ + # Create dimensions + dim1 = Node( + name="default.dim1", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim1_rev = NodeRevision( + node=dim1, + type=dim1.type, + name=dim1.name, + version="1", + display_name="Dimension 1", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="attribute1", type=StringType(), order=1), + ], + ) + dim1.current = dim1_rev + + dim2 = Node( + name="default.dim2", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim2_rev = NodeRevision( + node=dim2, + type=dim2.type, + name=dim2.name, + version="1", + display_name="Dimension 2", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="attribute2", type=StringType(), order=1), + ], + ) + dim2.current = dim2_rev + + dim3 = Node( + name="default.dim3", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim3_rev = NodeRevision( + node=dim3, + type=dim3.type, + name=dim3.name, + version="1", + display_name="Dimension 3", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + ], + ) + dim3.current = dim3_rev + + session.add_all([dim1, dim1_rev, dim2, dim2_rev, dim3, dim3_rev]) + await session.flush() + + # Create source node linked to dim1 and dim2 via reference links + source1 = Node( + name="default.source1", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source1_rev = NodeRevision( + node=source1, + type=source1.type, + name=source1.name, + version="1", + display_name="Source 1", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column( + name="dim1_id", + type=IntegerType(), + dimension=dim1, + dimension_column="id", + order=1, + ), + Column( + name="dim2_id", + type=IntegerType(), + dimension=dim2, + dimension_column="id", + order=2, + ), + ], + ) + source1.current = source1_rev + + # Create source node linked to only dim1 via reference link + source2 = Node( + name="default.source2", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source2_rev = NodeRevision( + node=source2, + type=source2.type, + name=source2.name, + version="1", + display_name="Source 2", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column( + name="dim1_id", + type=IntegerType(), + dimension=dim1, + dimension_column="id", + order=1, + ), + ], + ) + source2.current = source2_rev + + # Create transform node linked to dim1 and dim2 via join dimension link + transform1 = Node( + name="default.transform1", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + transform1_rev = NodeRevision( + node=transform1, + type=transform1.type, + name=transform1.name, + version="1", + display_name="Transform 1", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="value", type=IntegerType(), order=1), + ], + ) + transform1.current = transform1_rev + + # Create a source node linked to dim2 and dim3 (will be parent of metric1) + source3 = Node( + name="default.source3", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source3_rev = NodeRevision( + node=source3, + type=source3.type, + name=source3.name, + version="1", + display_name="Source 3", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column( + name="dim2_id", + type=IntegerType(), + dimension=dim2, + dimension_column="id", + order=1, + ), + Column( + name="dim3_id", + type=IntegerType(), + dimension=dim3, + dimension_column="id", + order=2, + ), + Column(name="amount", type=IntegerType(), order=3), + ], + ) + source3.current = source3_rev + + session.add_all( + [ + source1, + source1_rev, + source2, + source2_rev, + transform1, + transform1_rev, + source3, + source3_rev, + ], + ) + await session.flush() + + # Create metric node - metrics don't have direct dimension links, + # they inherit dimensions from their parent nodes + metric1 = Node( + name="default.metric1", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + metric1_rev = NodeRevision( + node=metric1, + type=metric1.type, + name=metric1.name, + version="1", + display_name="Metric 1", + query="SELECT SUM(amount) FROM default.source3", + parents=[source3], # Metric inherits dim2 and dim3 from source3 + created_by_id=current_user.id, + columns=[ + Column(name="value", type=IntegerType(), order=0), + ], + ) + metric1.current = metric1_rev + + session.add_all([metric1, metric1_rev]) + await session.flush() + + # Create dimension links for transform1 (links to dim1 and dim2) + link1 = DimensionLink( + dimension_id=dim1.id, + node_revision_id=transform1_rev.id, + join_sql="default.transform1.id = default.dim1.id", + ) + link2 = DimensionLink( + dimension_id=dim2.id, + node_revision_id=transform1_rev.id, + join_sql="default.transform1.id = default.dim2.id", + ) + + session.add_all([link1, link2]) + await session.commit() + + return { + "dim1": dim1, + "dim2": dim2, + "dim3": dim3, + "source1": source1, + "source2": source2, + "source3": source3, + "transform1": transform1, + "metric1": metric1, + } + + @pytest.mark.asyncio + async def test_empty_dimensions_list( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test that an empty dimensions list returns an empty result. + """ + result = await get_nodes_with_common_dimensions(session, []) + assert result == [] + + @pytest.mark.asyncio + async def test_single_dimension_via_column( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test finding nodes linked to a single dimension via reference link. + """ + graph = common_dimensions_test_graph + result = await get_nodes_with_common_dimensions(session, [graph["dim1"]]) + result_names = {node.name for node in result} + + # source1 and source2 are linked to dim1 via reference links + # transform1 is linked to dim1 via join link + assert "default.source1" in result_names + assert "default.source2" in result_names + assert "default.transform1" in result_names + + @pytest.mark.asyncio + async def test_single_dimension_via_dimension_link( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test finding nodes linked to a single dimension via join link. + """ + graph = common_dimensions_test_graph + result = await get_nodes_with_common_dimensions(session, [graph["dim3"]]) + result_names = {node.name for node in result} + assert result_names == {"default.metric1", "default.source3"} + + @pytest.mark.asyncio + async def test_multiple_dimensions_intersection( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test finding nodes linked to multiple dimensions (intersection). + """ + graph = common_dimensions_test_graph + result = await get_nodes_with_common_dimensions( + session, + [graph["dim1"], graph["dim2"]], + ) + result_names = {node.name for node in result} + + # source1 is linked to both dim1 and dim2 via reference links + # transform1 is linked to both dim1 and dim2 via join links + # source2 is only linked to dim1, so should not be included + assert "default.source1" in result_names + assert "default.transform1" in result_names + assert "default.source2" not in result_names + + @pytest.mark.asyncio + async def test_no_common_dimensions( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test that no nodes are returned when no nodes share all dimensions. + """ + graph = common_dimensions_test_graph + # dim1 and dim3 have no nodes in common + result = await get_nodes_with_common_dimensions( + session, + [graph["dim1"], graph["dim3"]], + ) + assert result == [] + + @pytest.mark.asyncio + async def test_filter_by_node_type( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test filtering results by node type. + """ + graph = common_dimensions_test_graph + # Get only source nodes linked to dim1 + result = await get_nodes_with_common_dimensions( + session, + [graph["dim1"]], + node_types=[NodeType.SOURCE], + ) + result_names = {node.name for node in result} + + assert "default.source1" in result_names + assert "default.source2" in result_names + assert "default.transform1" not in result_names + + @pytest.mark.asyncio + async def test_filter_by_multiple_node_types( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test filtering results by multiple node types. + """ + graph = common_dimensions_test_graph + result = await get_nodes_with_common_dimensions( + session, + [graph["dim2"]], + node_types=[NodeType.TRANSFORM, NodeType.SOURCE], + ) + result_names = {node.name for node in result} + assert result_names == { + # transform1 is linked to dim2 via join link + "default.transform1", + # source1 and source3 are linked to dim2 via reference links + "default.source1", + "default.source3", + } + + @pytest.mark.asyncio + async def test_mixed_column_and_dimension_link( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test that nodes linked via both Column and DimensionLink are found, + including metrics that inherit dimensions from their parents. + """ + graph = common_dimensions_test_graph + result = await get_nodes_with_common_dimensions(session, [graph["dim2"]]) + result_names = {node.name for node in result} + + # source1 linked via reference link + # source3 linked via reference link + # transform1 linked via join link + # metric1 inherits dim2 from source3 (its parent) + assert result_names == { + "default.source1", + "default.source3", + "default.transform1", + "default.metric1", + } + + @pytest.mark.asyncio + async def test_metrics_inherit_dimensions_from_parents( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test that metrics inherit dimensions from their parent nodes. + Metrics don't have direct dimension links, but they should be included + in results when their parents have all the required dimensions. + """ + graph = common_dimensions_test_graph + # dim2 and dim3 are the dimensions that source3 (metric1's parent) has + result = await get_nodes_with_common_dimensions( + session, + [graph["dim2"], graph["dim3"]], + ) + result_names = {node.name for node in result} + assert result_names == {"default.source3", "default.metric1"} + + @pytest.mark.asyncio + async def test_filter_metrics_by_node_type( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test that metrics can be filtered by node type even when they + inherit dimensions from parents. + """ + graph = common_dimensions_test_graph + result = await get_nodes_with_common_dimensions( + session, + [graph["dim2"], graph["dim3"]], + node_types=[NodeType.METRIC], + ) + result_names = {node.name for node in result} + assert result_names == {"default.metric1"} + + @pytest.mark.asyncio + async def test_metric_parent_missing_dimension( + self, + session: AsyncSession, + common_dimensions_test_graph, + ): + """ + Test that metrics are not included if their parent doesn't have + all required dimensions. + """ + graph = common_dimensions_test_graph + result = await get_nodes_with_common_dimensions( + session, + [graph["dim1"], graph["dim2"], graph["dim3"]], + ) + result_names = {node.name for node in result} + assert result_names == set() + + @pytest.fixture + async def dimension_hierarchy_graph( + self, + session: AsyncSession, + current_user: User, + ): + """ + Creates a test graph with a dimension hierarchy: + transform1 -> dim_a -> dim_b -> dim_c + + When searching for nodes with dim_c, the transform should be found + because it transitively links to dim_c through the hierarchy. + """ + # Create dimension C (leaf) + dim_c = Node( + name="default.dim_c", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim_c_rev = NodeRevision( + node=dim_c, + type=dim_c.type, + name=dim_c.name, + version="1", + display_name="Dimension C", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="attr_c", type=StringType(), order=1), + ], + ) + dim_c.current = dim_c_rev + + session.add_all([dim_c, dim_c_rev]) + await session.flush() + + # Create dimension B (links to C) + dim_b = Node( + name="default.dim_b", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim_b_rev = NodeRevision( + node=dim_b, + type=dim_b.type, + name=dim_b.name, + version="1", + display_name="Dimension B", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="attr_b", type=StringType(), order=1), + ], + ) + dim_b.current = dim_b_rev + + session.add_all([dim_b, dim_b_rev]) + await session.flush() + + # Create dimension A (links to B) + dim_a = Node( + name="default.dim_a", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim_a_rev = NodeRevision( + node=dim_a, + type=dim_a.type, + name=dim_a.name, + version="1", + display_name="Dimension A", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="attr_a", type=StringType(), order=1), + ], + ) + dim_a.current = dim_a_rev + + session.add_all([dim_a, dim_a_rev]) + await session.flush() + + # Create transform that links to dim_a + transform1 = Node( + name="default.transform_hier", + type=NodeType.TRANSFORM, + current_version="1", + created_by_id=current_user.id, + ) + transform1_rev = NodeRevision( + node=transform1, + type=transform1.type, + name=transform1.name, + version="1", + display_name="Transform Hierarchy", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="value", type=IntegerType(), order=1), + ], + ) + transform1.current = transform1_rev + + session.add_all([transform1, transform1_rev]) + await session.flush() + + # Create metric that has transform1 as parent + metric1 = Node( + name="default.metric_hier", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + metric1_rev = NodeRevision( + node=metric1, + type=metric1.type, + name=metric1.name, + version="1", + display_name="Metric Hierarchy", + query="SELECT SUM(value) FROM default.transform_hier", + parents=[transform1], + created_by_id=current_user.id, + columns=[ + Column(name="total", type=IntegerType(), order=0), + ], + ) + metric1.current = metric1_rev + + session.add_all([metric1, metric1_rev]) + await session.flush() + + # Create dimension links to form the hierarchy: + # transform1 -> dim_a -> dim_b -> dim_c + link_transform_to_a = DimensionLink( + dimension_id=dim_a.id, + node_revision_id=transform1_rev.id, + join_sql="default.transform_hier.id = default.dim_a.id", + ) + link_a_to_b = DimensionLink( + dimension_id=dim_b.id, + node_revision_id=dim_a_rev.id, + join_sql="default.dim_a.id = default.dim_b.id", + ) + link_b_to_c = DimensionLink( + dimension_id=dim_c.id, + node_revision_id=dim_b_rev.id, + join_sql="default.dim_b.id = default.dim_c.id", + ) + + session.add_all([link_transform_to_a, link_a_to_b, link_b_to_c]) + await session.commit() + + return { + "dim_a": dim_a, + "dim_b": dim_b, + "dim_c": dim_c, + "transform1": transform1, + "metric1": metric1, + } + + @pytest.mark.asyncio + async def test_dimension_hierarchy_traversal( + self, + session: AsyncSession, + dimension_hierarchy_graph, + ): + """ + Test that searching for a dimension at the end of a hierarchy + finds nodes that link to dimensions earlier in the chain. + + Hierarchy: transform1 -> dim_a -> dim_b -> dim_c + Searching for dim_c should find transform1 (and metric1 via parent). + """ + graph = dimension_hierarchy_graph + + # Search for dim_c - should find transform1 through the hierarchy + result = await get_nodes_with_common_dimensions(session, [graph["dim_c"]]) + result_names = {node.name for node in result} + + # transform1 links to dim_a, dim_a links to dim_b, dim_b links to dim_c + # So transform1 transitively "has" dim_c + assert "default.transform_hier" in result_names + # metric1 inherits from transform1 + assert "default.metric_hier" in result_names + # dim_a and dim_b are also in the path + assert "default.dim_a" in result_names + assert "default.dim_b" in result_names + + @pytest.mark.asyncio + async def test_dimension_hierarchy_middle( + self, + session: AsyncSession, + dimension_hierarchy_graph, + ): + """ + Test searching for a dimension in the middle of a hierarchy. + + Hierarchy: transform1 -> dim_a -> dim_b -> dim_c + Searching for dim_b should find transform1 and dim_a. + """ + graph = dimension_hierarchy_graph + + result = await get_nodes_with_common_dimensions(session, [graph["dim_b"]]) + result_names = {node.name for node in result} + + # transform1 links to dim_a, dim_a links to dim_b + assert "default.transform_hier" in result_names + assert "default.metric_hier" in result_names + assert "default.dim_a" in result_names + + # dim_c is after dim_b in the chain, so shouldn't be found + assert "default.dim_c" not in result_names + + +@pytest.mark.asyncio +class TestGetMetricParentsMap: + """ + Tests for ``get_metric_parents_map``. + """ + + @pytest.fixture + async def metric_parents_test_graph( + self, + session: AsyncSession, + current_user: User, + ): + """ + Creates a test graph with metrics and their parent nodes. + + Graph structure: + - source1 (SOURCE) <- metric1 (regular metric with single parent) + - source2, source3 (SOURCE) <- metric2 (regular metric with multiple parents) + - source4 (SOURCE) <- base_metric (base metric) + - base_metric <- derived_metric1 (derived metric referencing a base metric) + - base_metric <- derived_metric2 (another derived metric referencing the same base) + - source5, source6 (SOURCE) <- base_metric2 (base metric with multiple parents) + - base_metric2 <- derived_metric3 (derived metric with multi-parent base) + """ + # Create source nodes + source1 = Node( + name="default.source1", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source1_rev = NodeRevision( + node=source1, + type=source1.type, + name=source1.name, + version="1", + display_name="Source 1", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="value", type=IntegerType(), order=1), + ], + ) + source1.current = source1_rev + + source2 = Node( + name="default.source2", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source2_rev = NodeRevision( + node=source2, + type=source2.type, + name=source2.name, + version="1", + display_name="Source 2", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="amount", type=IntegerType(), order=1), + ], + ) + source2.current = source2_rev + + source3 = Node( + name="default.source3", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source3_rev = NodeRevision( + node=source3, + type=source3.type, + name=source3.name, + version="1", + display_name="Source 3", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="count", type=IntegerType(), order=1), + ], + ) + source3.current = source3_rev + + source4 = Node( + name="default.source4", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source4_rev = NodeRevision( + node=source4, + type=source4.type, + name=source4.name, + version="1", + display_name="Source 4", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="metric_value", type=IntegerType(), order=1), + ], + ) + source4.current = source4_rev + + source5 = Node( + name="default.source5", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source5_rev = NodeRevision( + node=source5, + type=source5.type, + name=source5.name, + version="1", + display_name="Source 5", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="data", type=IntegerType(), order=1), + ], + ) + source5.current = source5_rev + + source6 = Node( + name="default.source6", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source6_rev = NodeRevision( + node=source6, + type=source6.type, + name=source6.name, + version="1", + display_name="Source 6", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="info", type=IntegerType(), order=1), + ], + ) + source6.current = source6_rev + + session.add_all( + [ + source1, + source1_rev, + source2, + source2_rev, + source3, + source3_rev, + source4, + source4_rev, + source5, + source5_rev, + source6, + source6_rev, + ], + ) + await session.flush() + + # Create metric1: single source parent + metric1 = Node( + name="default.metric1", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + metric1_rev = NodeRevision( + node=metric1, + type=metric1.type, + name=metric1.name, + version="1", + display_name="Metric 1", + query="SELECT SUM(value) FROM default.source1", + parents=[source1], + created_by_id=current_user.id, + columns=[Column(name="total", type=IntegerType(), order=0)], + ) + metric1.current = metric1_rev + + # Create metric2: multiple source parents + metric2 = Node( + name="default.metric2", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + metric2_rev = NodeRevision( + node=metric2, + type=metric2.type, + name=metric2.name, + version="1", + display_name="Metric 2", + query="SELECT SUM(amount) + SUM(count) FROM default.source2, default.source3", + parents=[source2, source3], + created_by_id=current_user.id, + columns=[Column(name="combined", type=IntegerType(), order=0)], + ) + metric2.current = metric2_rev + + # Create base_metric: used by derived metrics + base_metric = Node( + name="default.base_metric", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + base_metric_rev = NodeRevision( + node=base_metric, + type=base_metric.type, + name=base_metric.name, + version="1", + display_name="Base Metric", + query="SELECT SUM(metric_value) FROM default.source4", + parents=[source4], + created_by_id=current_user.id, + columns=[Column(name="base_total", type=IntegerType(), order=0)], + ) + base_metric.current = base_metric_rev + + # Create derived_metric1: references base_metric + derived_metric1 = Node( + name="default.derived_metric1", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + derived_metric1_rev = NodeRevision( + node=derived_metric1, + type=derived_metric1.type, + name=derived_metric1.name, + version="1", + display_name="Derived Metric 1", + query="SELECT default.base_metric * 2", + parents=[base_metric], + created_by_id=current_user.id, + columns=[Column(name="doubled", type=IntegerType(), order=0)], + ) + derived_metric1.current = derived_metric1_rev + + # Create derived_metric2: also references base_metric + derived_metric2 = Node( + name="default.derived_metric2", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + derived_metric2_rev = NodeRevision( + node=derived_metric2, + type=derived_metric2.type, + name=derived_metric2.name, + version="1", + display_name="Derived Metric 2", + query="SELECT default.base_metric / 100", + parents=[base_metric], + created_by_id=current_user.id, + columns=[Column(name="percentage", type=IntegerType(), order=0)], + ) + derived_metric2.current = derived_metric2_rev + + # Create base_metric2: has multiple parents + base_metric2 = Node( + name="default.base_metric2", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + base_metric2_rev = NodeRevision( + node=base_metric2, + type=base_metric2.type, + name=base_metric2.name, + version="1", + display_name="Base Metric 2", + query="SELECT SUM(data) + SUM(info) FROM default.source5, default.source6", + parents=[source5, source6], + created_by_id=current_user.id, + columns=[Column(name="multi_base", type=IntegerType(), order=0)], + ) + base_metric2.current = base_metric2_rev + + # Create derived_metric3: references base_metric2 (which has multiple parents) + derived_metric3 = Node( + name="default.derived_metric3", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + derived_metric3_rev = NodeRevision( + node=derived_metric3, + type=derived_metric3.type, + name=derived_metric3.name, + version="1", + display_name="Derived Metric 3", + query="SELECT default.base_metric2 * 10", + parents=[base_metric2], + created_by_id=current_user.id, + columns=[Column(name="scaled", type=IntegerType(), order=0)], + ) + derived_metric3.current = derived_metric3_rev + + session.add_all( + [ + metric1, + metric1_rev, + metric2, + metric2_rev, + base_metric, + base_metric_rev, + derived_metric1, + derived_metric1_rev, + derived_metric2, + derived_metric2_rev, + base_metric2, + base_metric2_rev, + derived_metric3, + derived_metric3_rev, + ], + ) + await session.commit() + + return { + "source1": source1, + "source2": source2, + "source3": source3, + "source4": source4, + "source5": source5, + "source6": source6, + "metric1": metric1, + "metric2": metric2, + "base_metric": base_metric, + "derived_metric1": derived_metric1, + "derived_metric2": derived_metric2, + "base_metric2": base_metric2, + "derived_metric3": derived_metric3, + } + + @pytest.mark.asyncio + async def test_empty_input( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test that an empty input list returns an empty dict. + """ + result = await get_metric_parents_map(session, []) + assert result == {} + + @pytest.mark.asyncio + async def test_single_metric_single_parent( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test a metric with a single non-metric parent. + """ + graph = metric_parents_test_graph + result = await get_metric_parents_map(session, [graph["metric1"]]) + + assert "default.metric1" in result + parent_names = {p.name for p in result["default.metric1"]} + assert parent_names == {"default.source1"} + + @pytest.mark.asyncio + async def test_single_metric_multiple_parents( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test a metric with multiple non-metric parents. + """ + graph = metric_parents_test_graph + result = await get_metric_parents_map(session, [graph["metric2"]]) + + assert "default.metric2" in result + parent_names = {p.name for p in result["default.metric2"]} + assert parent_names == {"default.source2", "default.source3"} + + @pytest.mark.asyncio + async def test_multiple_regular_metrics( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test multiple regular metrics (each with non-metric parents). + """ + graph = metric_parents_test_graph + result = await get_metric_parents_map( + session, + [graph["metric1"], graph["metric2"]], + ) + + assert len(result) == 2 + + metric1_parents = {p.name for p in result["default.metric1"]} + assert metric1_parents == {"default.source1"} + + metric2_parents = {p.name for p in result["default.metric2"]} + assert metric2_parents == {"default.source2", "default.source3"} + + @pytest.mark.asyncio + async def test_derived_metric_single_parent_base( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test a derived metric that references a base metric with a single parent. + Should return the base metric's non-metric parent. + """ + graph = metric_parents_test_graph + result = await get_metric_parents_map(session, [graph["derived_metric1"]]) + + assert "default.derived_metric1" in result + parent_names = {p.name for p in result["default.derived_metric1"]} + # derived_metric1 -> base_metric -> source4 + assert parent_names == {"default.source4"} + + @pytest.mark.asyncio + async def test_derived_metric_multiple_parent_base( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test a derived metric that references a base metric with multiple parents. + Should return all of the base metric's non-metric parents. + """ + graph = metric_parents_test_graph + result = await get_metric_parents_map(session, [graph["derived_metric3"]]) + + assert "default.derived_metric3" in result + parent_names = {p.name for p in result["default.derived_metric3"]} + # derived_metric3 -> base_metric2 -> source5, source6 + assert parent_names == {"default.source5", "default.source6"} + + @pytest.mark.asyncio + async def test_multiple_derived_metrics_same_base( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test multiple derived metrics that reference the same base metric. + Both should get the same base metric's parents. + """ + graph = metric_parents_test_graph + result = await get_metric_parents_map( + session, + [graph["derived_metric1"], graph["derived_metric2"]], + ) + + assert len(result) == 2 + + # Both derived metrics reference base_metric, which has source4 as parent + dm1_parents = {p.name for p in result["default.derived_metric1"]} + dm2_parents = {p.name for p in result["default.derived_metric2"]} + + assert dm1_parents == {"default.source4"} + assert dm2_parents == {"default.source4"} + + @pytest.mark.asyncio + async def test_mix_of_regular_and_derived_metrics( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test a mix of regular and derived metrics. + """ + graph = metric_parents_test_graph + result = await get_metric_parents_map( + session, + [graph["metric1"], graph["derived_metric1"], graph["derived_metric3"]], + ) + + assert len(result) == 3 + + # metric1 -> source1 + metric1_parents = {p.name for p in result["default.metric1"]} + assert metric1_parents == {"default.source1"} + + # derived_metric1 -> base_metric -> source4 + dm1_parents = {p.name for p in result["default.derived_metric1"]} + assert dm1_parents == {"default.source4"} + + # derived_metric3 -> base_metric2 -> source5, source6 + dm3_parents = {p.name for p in result["default.derived_metric3"]} + assert dm3_parents == {"default.source5", "default.source6"} + + @pytest.mark.asyncio + async def test_base_metric_directly( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test querying a base metric directly (not as a derived metric). + Should return its direct non-metric parents. + """ + graph = metric_parents_test_graph + result = await get_metric_parents_map(session, [graph["base_metric"]]) + + assert "default.base_metric" in result + parent_names = {p.name for p in result["default.base_metric"]} + assert parent_names == {"default.source4"} + + @pytest.mark.asyncio + async def test_all_metrics( + self, + session: AsyncSession, + metric_parents_test_graph, + ): + """ + Test querying all metrics at once. + """ + graph = metric_parents_test_graph + all_metrics = [ + graph["metric1"], + graph["metric2"], + graph["base_metric"], + graph["derived_metric1"], + graph["derived_metric2"], + graph["base_metric2"], + graph["derived_metric3"], + ] + result = await get_metric_parents_map(session, all_metrics) + + assert len(result) == 7 + + # Verify each metric's parents + assert {p.name for p in result["default.metric1"]} == {"default.source1"} + assert {p.name for p in result["default.metric2"]} == { + "default.source2", + "default.source3", + } + assert {p.name for p in result["default.base_metric"]} == {"default.source4"} + assert {p.name for p in result["default.derived_metric1"]} == { + "default.source4", + } + assert {p.name for p in result["default.derived_metric2"]} == { + "default.source4", + } + assert {p.name for p in result["default.base_metric2"]} == { + "default.source5", + "default.source6", + } + assert {p.name for p in result["default.derived_metric3"]} == { + "default.source5", + "default.source6", + } + + +class TestGetSharedDimensions: + """ + Tests for ``get_shared_dimensions`` with derived metrics. + + This test class creates a graph with dimension links to properly test + how shared dimensions are computed for derived metrics. + """ + + @pytest.fixture + async def shared_dims_test_graph( + self, + session: AsyncSession, + current_user: User, + ): + """ + Creates a test graph with metrics, dimensions, and dimension links. + + Graph structure: + Dimensions: + - dim_date (DIMENSION): id, day, week, month + - dim_customer (DIMENSION): id, name, region + - dim_warehouse (DIMENSION): id, location (NO overlap with date/customer) + + Sources with dimension links: + - orders_source (SOURCE): id, amount, date_id->dim_date, customer_id->dim_customer + - events_source (SOURCE): id, count, date_id->dim_date, customer_id->dim_customer + - inventory_source (SOURCE): id, quantity, warehouse_id->dim_warehouse (different dims!) + + Metrics: + - revenue (METRIC): SUM(amount) FROM orders_source + - orders_count (METRIC): COUNT(*) FROM orders_source + - page_views (METRIC): SUM(count) FROM events_source + - inventory_total (METRIC): SUM(quantity) FROM inventory_source + + Derived Metrics: + - revenue_per_order: revenue / orders_count (same source - full dim intersection) + - revenue_per_pageview: revenue / page_views (cross-source with shared dims) + - derived_from_inventory: inventory_total * 2 (different dims than orders/events) + """ + # Create dimension nodes + dim_date = Node( + name="shared_dims.dim_date", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim_date_rev = NodeRevision( + node=dim_date, + type=dim_date.type, + name=dim_date.name, + version="1", + display_name="Date Dimension", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="day", type=StringType(), order=1), + Column(name="week", type=StringType(), order=2), + Column(name="month", type=StringType(), order=3), + ], + ) + dim_date.current = dim_date_rev + + dim_customer = Node( + name="shared_dims.dim_customer", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim_customer_rev = NodeRevision( + node=dim_customer, + type=dim_customer.type, + name=dim_customer.name, + version="1", + display_name="Customer Dimension", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="name", type=StringType(), order=1), + Column(name="region", type=StringType(), order=2), + ], + ) + dim_customer.current = dim_customer_rev + + dim_warehouse = Node( + name="shared_dims.dim_warehouse", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + dim_warehouse_rev = NodeRevision( + node=dim_warehouse, + type=dim_warehouse.type, + name=dim_warehouse.name, + version="1", + display_name="Warehouse Dimension", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="location", type=StringType(), order=1), + ], + ) + dim_warehouse.current = dim_warehouse_rev + + session.add_all( + [ + dim_date, + dim_date_rev, + dim_customer, + dim_customer_rev, + dim_warehouse, + dim_warehouse_rev, + ], + ) + await session.flush() + + # Create source nodes with dimension links + orders_source = Node( + name="shared_dims.orders_source", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + orders_source_rev = NodeRevision( + node=orders_source, + type=orders_source.type, + name=orders_source.name, + version="1", + display_name="Orders Source", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="amount", type=IntegerType(), order=1), + Column(name="date_id", type=IntegerType(), dimension=dim_date, order=2), + Column( + name="customer_id", + type=IntegerType(), + dimension=dim_customer, + order=3, + ), + ], + ) + orders_source.current = orders_source_rev + + events_source = Node( + name="shared_dims.events_source", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + events_source_rev = NodeRevision( + node=events_source, + type=events_source.type, + name=events_source.name, + version="1", + display_name="Events Source", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="count", type=IntegerType(), order=1), + Column(name="date_id", type=IntegerType(), dimension=dim_date, order=2), + Column( + name="customer_id", + type=IntegerType(), + dimension=dim_customer, + order=3, + ), + ], + ) + events_source.current = events_source_rev + + inventory_source = Node( + name="shared_dims.inventory_source", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + inventory_source_rev = NodeRevision( + node=inventory_source, + type=inventory_source.type, + name=inventory_source.name, + version="1", + display_name="Inventory Source", + created_by_id=current_user.id, + columns=[ + Column(name="id", type=IntegerType(), order=0), + Column(name="quantity", type=IntegerType(), order=1), + Column( + name="warehouse_id", + type=IntegerType(), + dimension=dim_warehouse, + order=2, + ), + ], + ) + inventory_source.current = inventory_source_rev + + session.add_all( + [ + orders_source, + orders_source_rev, + events_source, + events_source_rev, + inventory_source, + inventory_source_rev, + ], + ) + await session.flush() + + # Create base metrics + revenue = Node( + name="shared_dims.revenue", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + revenue_rev = NodeRevision( + node=revenue, + type=revenue.type, + name=revenue.name, + version="1", + display_name="Revenue", + query="SELECT SUM(amount) FROM shared_dims.orders_source", + parents=[orders_source], + created_by_id=current_user.id, + columns=[Column(name="total_revenue", type=IntegerType(), order=0)], + ) + revenue.current = revenue_rev + + orders_count = Node( + name="shared_dims.orders_count", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + orders_count_rev = NodeRevision( + node=orders_count, + type=orders_count.type, + name=orders_count.name, + version="1", + display_name="Orders Count", + query="SELECT COUNT(*) FROM shared_dims.orders_source", + parents=[orders_source], + created_by_id=current_user.id, + columns=[Column(name="order_count", type=IntegerType(), order=0)], + ) + orders_count.current = orders_count_rev + + page_views = Node( + name="shared_dims.page_views", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + page_views_rev = NodeRevision( + node=page_views, + type=page_views.type, + name=page_views.name, + version="1", + display_name="Page Views", + query="SELECT SUM(count) FROM shared_dims.events_source", + parents=[events_source], + created_by_id=current_user.id, + columns=[Column(name="total_views", type=IntegerType(), order=0)], + ) + page_views.current = page_views_rev + + inventory_total = Node( + name="shared_dims.inventory_total", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + inventory_total_rev = NodeRevision( + node=inventory_total, + type=inventory_total.type, + name=inventory_total.name, + version="1", + display_name="Inventory Total", + query="SELECT SUM(quantity) FROM shared_dims.inventory_source", + parents=[inventory_source], + created_by_id=current_user.id, + columns=[Column(name="total_inventory", type=IntegerType(), order=0)], + ) + inventory_total.current = inventory_total_rev + + session.add_all( + [ + revenue, + revenue_rev, + orders_count, + orders_count_rev, + page_views, + page_views_rev, + inventory_total, + inventory_total_rev, + ], + ) + await session.flush() + + # Create derived metrics + revenue_per_order = Node( + name="shared_dims.revenue_per_order", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + revenue_per_order_rev = NodeRevision( + node=revenue_per_order, + type=revenue_per_order.type, + name=revenue_per_order.name, + version="1", + display_name="Revenue Per Order", + query="SELECT shared_dims.revenue / shared_dims.orders_count", + parents=[revenue, orders_count], + created_by_id=current_user.id, + columns=[Column(name="avg_revenue", type=IntegerType(), order=0)], + ) + revenue_per_order.current = revenue_per_order_rev + + revenue_per_pageview = Node( + name="shared_dims.revenue_per_pageview", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + revenue_per_pageview_rev = NodeRevision( + node=revenue_per_pageview, + type=revenue_per_pageview.type, + name=revenue_per_pageview.name, + version="1", + display_name="Revenue Per Pageview", + query="SELECT shared_dims.revenue / shared_dims.page_views", + parents=[revenue, page_views], + created_by_id=current_user.id, + columns=[Column(name="revenue_per_view", type=IntegerType(), order=0)], + ) + revenue_per_pageview.current = revenue_per_pageview_rev + + derived_from_inventory = Node( + name="shared_dims.derived_inventory", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + derived_from_inventory_rev = NodeRevision( + node=derived_from_inventory, + type=derived_from_inventory.type, + name=derived_from_inventory.name, + version="1", + display_name="Derived Inventory", + query="SELECT shared_dims.inventory_total * 2", + parents=[inventory_total], + created_by_id=current_user.id, + columns=[Column(name="doubled_inventory", type=IntegerType(), order=0)], + ) + derived_from_inventory.current = derived_from_inventory_rev + + session.add_all( + [ + revenue_per_order, + revenue_per_order_rev, + revenue_per_pageview, + revenue_per_pageview_rev, + derived_from_inventory, + derived_from_inventory_rev, + ], + ) + await session.flush() + + return { + "dim_date": dim_date, + "dim_customer": dim_customer, + "dim_warehouse": dim_warehouse, + "orders_source": orders_source, + "events_source": events_source, + "inventory_source": inventory_source, + "revenue": revenue, + "orders_count": orders_count, + "page_views": page_views, + "inventory_total": inventory_total, + "revenue_per_order": revenue_per_order, + "revenue_per_pageview": revenue_per_pageview, + "derived_inventory": derived_from_inventory, + } + + @pytest.mark.asyncio + async def test_empty_input( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that an empty list of metrics returns an empty list. + """ + result = await get_shared_dimensions(session, []) + assert result == [] + + @pytest.mark.asyncio + async def test_single_base_metric_returns_all_dimensions( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that a single base metric returns all its dimensions. + """ + graph = shared_dims_test_graph + result = await get_shared_dimensions(session, [graph["revenue"]]) + + dim_names = {d.name for d in result} + # revenue comes from orders_source which has date and customer dimensions + assert "shared_dims.dim_date.id" in dim_names + assert "shared_dims.dim_date.day" in dim_names + assert "shared_dims.dim_date.week" in dim_names + assert "shared_dims.dim_date.month" in dim_names + assert "shared_dims.dim_customer.id" in dim_names + assert "shared_dims.dim_customer.name" in dim_names + assert "shared_dims.dim_customer.region" in dim_names + + @pytest.mark.asyncio + async def test_derived_metric_same_source_inherits_all_dimensions( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that a derived metric from same-source base metrics has all dimensions. + revenue_per_order = revenue / orders_count, both from orders_source. + """ + graph = shared_dims_test_graph + result = await get_shared_dimensions(session, [graph["revenue_per_order"]]) + + dim_names = {d.name for d in result} + # Both base metrics come from orders_source -> date + customer dims + assert "shared_dims.dim_date.id" in dim_names + assert "shared_dims.dim_customer.id" in dim_names + + @pytest.mark.asyncio + async def test_derived_metric_cross_source_with_shared_dimensions( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that a derived metric from different sources with shared dims + returns the intersection. + revenue_per_pageview = revenue (orders) / page_views (events). + Both sources share date and customer dimensions. + """ + graph = shared_dims_test_graph + result = await get_shared_dimensions(session, [graph["revenue_per_pageview"]]) + + dim_names = {d.name for d in result} + # Both orders and events sources have date and customer dims + assert "shared_dims.dim_date.id" in dim_names + assert "shared_dims.dim_customer.id" in dim_names + # Warehouse should NOT be present (only inventory has it) + assert "shared_dims.dim_warehouse.id" not in dim_names + + @pytest.mark.asyncio + async def test_derived_metric_with_no_shared_dimensions_with_other_metric( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that querying metrics with no shared dimensions returns empty list. + revenue (date + customer) vs derived_inventory (warehouse only) + """ + graph = shared_dims_test_graph + result = await get_shared_dimensions( + session, + [graph["revenue"], graph["derived_inventory"]], + ) + + # No shared dimensions between orders-based and inventory-based metrics + assert result == [] + + @pytest.mark.asyncio + async def test_multiple_metrics_from_same_source( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that multiple metrics from the same source share all dimensions. + revenue and orders_count both come from orders_source. + """ + graph = shared_dims_test_graph + result = await get_shared_dimensions( + session, + [graph["revenue"], graph["orders_count"]], + ) + + dim_names = {d.name for d in result} + # Both from orders_source -> should have all date + customer dims + assert "shared_dims.dim_date.id" in dim_names + assert "shared_dims.dim_date.day" in dim_names + assert "shared_dims.dim_customer.id" in dim_names + assert "shared_dims.dim_customer.name" in dim_names + + @pytest.mark.asyncio + async def test_multiple_metrics_from_different_sources_with_overlap( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that multiple metrics from different sources return intersection. + revenue (orders) and page_views (events) share date + customer. + """ + graph = shared_dims_test_graph + result = await get_shared_dimensions( + session, + [graph["revenue"], graph["page_views"]], + ) + + dim_names = {d.name for d in result} + # Intersection of orders and events dimensions + assert "shared_dims.dim_date.id" in dim_names + assert "shared_dims.dim_customer.id" in dim_names + + @pytest.mark.asyncio + async def test_derived_metric_inherits_union_of_base_metric_dimensions( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that a single derived metric's dimensions are the union of its + base metrics' dimensions (which happens to be intersection for same dims). + + revenue_per_pageview has parents: revenue (orders) and page_views (events). + Both share date and customer dimensions. + """ + graph = shared_dims_test_graph + + # Get dims for derived metric alone + derived_dims = await get_shared_dimensions( + session, + [graph["revenue_per_pageview"]], + ) + + # Get dims for each base metric + revenue_dims = await get_shared_dimensions(session, [graph["revenue"]]) + pageviews_dims = await get_shared_dimensions(session, [graph["page_views"]]) + + derived_dim_names = {d.name for d in derived_dims} + revenue_dim_names = {d.name for d in revenue_dims} + pageviews_dim_names = {d.name for d in pageviews_dims} + + # Derived metric should have union of its base metrics' dimensions + # Since both have the same dims, the union equals each individual set + assert derived_dim_names == revenue_dim_names + assert derived_dim_names == pageviews_dim_names + + @pytest.mark.asyncio + async def test_inventory_metric_has_only_warehouse_dimension( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that inventory-based metric only has warehouse dimension. + """ + graph = shared_dims_test_graph + result = await get_shared_dimensions(session, [graph["inventory_total"]]) + + dim_names = {d.name for d in result} + # Only warehouse dimension + assert "shared_dims.dim_warehouse.id" in dim_names + assert "shared_dims.dim_warehouse.location" in dim_names + # No date or customer + assert "shared_dims.dim_date.id" not in dim_names + assert "shared_dims.dim_customer.id" not in dim_names + + @pytest.mark.asyncio + async def test_get_common_dimensions_no_overlap_returns_empty( + self, + session: AsyncSession, + shared_dims_test_graph, + ): + """ + Test that get_common_dimensions returns empty list when nodes + have no overlapping dimensions during iteration. + + orders_source has date + customer dimensions. + inventory_source has warehouse dimension (no overlap). + """ + graph = shared_dims_test_graph + result = await get_common_dimensions( + session, + [graph["orders_source"], graph["inventory_source"]], + ) + + # No common dimensions between orders (date/customer) and inventory (warehouse) + assert result == [] diff --git a/datajunction-server/tests/sql/decompose_test.py b/datajunction-server/tests/sql/decompose_test.py new file mode 100644 index 000000000..69f19d80e --- /dev/null +++ b/datajunction-server/tests/sql/decompose_test.py @@ -0,0 +1,2114 @@ +""" +Tests for ``datajunction_server.sql.decompose``. +""" + +import pytest +import pytest_asyncio +from sqlalchemy.ext.asyncio import AsyncSession + +from tests.construction.build_v3 import assert_sql_equal +from datajunction_server.database.node import Node, NodeRelationship, NodeRevision +from datajunction_server.models.cube_materialization import ( + Aggregability, + AggregationRule, + MetricComponent, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.decompose import MetricComponentExtractor +from datajunction_server.sql.parsing.backends.exceptions import DJParseException +from datajunction_server.models.engine import Dialect +from datajunction_server.sql.parsing.ast import to_sql + + +@pytest_asyncio.fixture +async def parent_node(clean_session: AsyncSession, clean_current_user): + """Create a parent source node called 'parent_node'.""" + session = clean_session + current_user = clean_current_user + node = Node( + name="parent_node", + type=NodeType.SOURCE, + current_version="v1.0", + created_by_id=current_user.id, + ) + session.add(node) + await session.flush() + + revision = NodeRevision( + node_id=node.id, + version="v1.0", + name="parent_node", + type=NodeType.SOURCE, + created_by_id=current_user.id, + ) + session.add(revision) + await session.flush() + return node + + +@pytest_asyncio.fixture +async def create_metric(session: AsyncSession, current_user, parent_node): + """Fixture to create a metric node with a query.""" + created_metrics: list[NodeRevision] = [] + + async def _create(query: str, name: str = None, parent=None): + parent_to_use = parent if parent else parent_node + metric_name = name or f"test_metric_{len(created_metrics)}" + + metric_node = Node( + name=metric_name, + type=NodeType.METRIC, + current_version="v1.0", + created_by_id=current_user.id, + ) + session.add(metric_node) + await session.flush() + + metric_rev = NodeRevision( + node_id=metric_node.id, + version="v1.0", + name=metric_name, + type=NodeType.METRIC, + query=query, + created_by_id=current_user.id, + ) + session.add(metric_rev) + await session.flush() + + rel = NodeRelationship(parent_id=parent_to_use.id, child_id=metric_rev.id) + session.add(rel) + await session.flush() + + created_metrics.append(metric_rev) + return metric_rev + + return _create + + +@pytest.mark.asyncio +async def test_simple_sum(session: AsyncSession, create_metric): + """ + Test decomposition for a metric definition that is a simple sum. + """ + metric_rev = await create_metric("SELECT SUM(sales_amount) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_b5a3cefe", + expression="sales_amount", + aggregation="SUM", + merge="SUM", # SUM merges as SUM + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT SUM(sales_amount_sum_b5a3cefe) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_sum_with_cast(session: AsyncSession, create_metric): + """ + Test decomposition for a metric definition that has a sum with a cast. + """ + metric_rev = await create_metric( + "SELECT CAST(SUM(sales_amount) AS DOUBLE) * 100.0 FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_b5a3cefe", + expression="sales_amount", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT CAST(SUM(sales_amount_sum_b5a3cefe) AS DOUBLE) * 100.0 FROM parent_node", + ) + + metric_rev2 = await create_metric( + "SELECT 100.0 * SUM(sales_amount) FROM parent_node", + ) + extractor2 = MetricComponentExtractor(metric_rev2.id) + measures, derived_sql = await extractor2.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_b5a3cefe", + expression="sales_amount", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT 100.0 * SUM(sales_amount_sum_b5a3cefe) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_sum_with_coalesce(session: AsyncSession, create_metric): + """ + Test decomposition for a metric definition that has a sum with coalesce. + """ + metric_rev = await create_metric( + "SELECT COALESCE(SUM(sales_amount), 0) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_b5a3cefe", + expression="sales_amount", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT COALESCE(SUM(sales_amount_sum_b5a3cefe), 0) FROM parent_node", + ) + + metric_rev2 = await create_metric( + "SELECT SUM(COALESCE(sales_amount, 0)) FROM parent_node", + ) + extractor2 = MetricComponentExtractor(metric_rev2.id) + measures, derived_sql = await extractor2.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_65a3b528", + expression="COALESCE(sales_amount, 0)", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT SUM(sales_amount_sum_65a3b528) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_multiple_sums(session: AsyncSession, create_metric): + """ + Test decomposition for a metric definition that has multiple sums. + """ + metric_rev = await create_metric( + "SELECT SUM(sales_amount) + SUM(fraud_sales) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_b5a3cefe", + expression="sales_amount", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="fraud_sales_sum_0e1bc4a2", + expression="fraud_sales", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT SUM(sales_amount_sum_b5a3cefe) + " + "SUM(fraud_sales_sum_0e1bc4a2) FROM parent_node", + ) + + metric_rev2 = await create_metric( + "SELECT SUM(sales_amount) - SUM(fraud_sales) FROM parent_node", + ) + extractor2 = MetricComponentExtractor(metric_rev2.id) + measures, derived_sql = await extractor2.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_b5a3cefe", + expression="sales_amount", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="fraud_sales_sum_0e1bc4a2", + expression="fraud_sales", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT SUM(sales_amount_sum_b5a3cefe) - " + "SUM(fraud_sales_sum_0e1bc4a2) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_nested_functions(session: AsyncSession, create_metric): + """ + Test behavior with deeply nested functions inside aggregations. + """ + metric_rev = await create_metric( + "SELECT SUM(ROUND(COALESCE(sales_amount, 0) * 1.1)) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_090066cf", + expression="ROUND(COALESCE(sales_amount, 0) * 1.1)", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT SUM(sales_amount_sum_090066cf) FROM parent_node", + ) + + metric_rev2 = await create_metric( + "SELECT LN(SUM(COALESCE(sales_amount, 0)) + 1) FROM parent_node", + ) + extractor2 = MetricComponentExtractor(metric_rev2.id) + measures, derived_sql = await extractor2.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_sum_65a3b528", + expression="COALESCE(sales_amount, 0)", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT LN(SUM(sales_amount_sum_65a3b528) + 1) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_average(session: AsyncSession, create_metric): + """ + Test decomposition for a metric definition that uses AVG. + + AVG decomposes into two components: + - SUM: aggregation=SUM, merge=SUM + - COUNT: aggregation=COUNT, merge=SUM (counts roll up as sums) + + The combiner is: SUM(sum_col) / SUM(count_col) + """ + metric_rev = await create_metric("SELECT AVG(sales_amount) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + expected_measures = [ + MetricComponent( + name="sales_amount_count_b5a3cefe", + expression="sales_amount", + aggregation="COUNT", + merge="SUM", # COUNT merges as SUM + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="sales_amount_sum_b5a3cefe", + expression="sales_amount", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT SUM(sales_amount_sum_b5a3cefe) / " + "SUM(sales_amount_count_b5a3cefe) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_rate(session: AsyncSession, create_metric): + """ + Test decomposition for a rate metric definition. + """ + metric_rev = await create_metric( + "SELECT SUM(clicks) / SUM(impressions) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures0 = [ + MetricComponent( + name="clicks_sum_c45fd8cf", + expression="clicks", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="impressions_sum_3be0a0e7", + expression="impressions", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures0 + assert_sql_equal( + str(derived_sql), + "SELECT SUM(clicks_sum_c45fd8cf) / SUM(impressions_sum_3be0a0e7) FROM parent_node", + ) + + metric_rev2 = await create_metric( + "SELECT 1.0 * SUM(clicks) / NULLIF(SUM(impressions), 0) FROM parent_node", + ) + extractor2 = MetricComponentExtractor(metric_rev2.id) + measures, derived_sql = await extractor2.extract(session) + expected_measures = [ + MetricComponent( + name="clicks_sum_c45fd8cf", + expression="clicks", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="impressions_sum_3be0a0e7", + expression="impressions", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT 1.0 * SUM(clicks_sum_c45fd8cf) / " + "NULLIF(SUM(impressions_sum_3be0a0e7), 0) FROM parent_node", + ) + + metric_rev3 = await create_metric( + "SELECT CAST(CAST(SUM(clicks) AS INT) AS DOUBLE) / " + "CAST(SUM(impressions) AS DOUBLE) FROM parent_node", + ) + extractor3 = MetricComponentExtractor(metric_rev3.id) + measures, derived_sql = await extractor3.extract(session) + assert measures == expected_measures0 + assert_sql_equal( + str(derived_sql), + "SELECT CAST(CAST(SUM(clicks_sum_c45fd8cf) AS INT) AS DOUBLE) / " + "CAST(SUM(impressions_sum_3be0a0e7) AS DOUBLE) FROM parent_node", + ) + + metric_rev4 = await create_metric( + "SELECT COALESCE(SUM(clicks) / SUM(impressions), 0) FROM parent_node", + ) + extractor4 = MetricComponentExtractor(metric_rev4.id) + measures, derived_sql = await extractor4.extract(session) + expected_measures = [ + MetricComponent( + name="clicks_sum_c45fd8cf", + expression="clicks", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="impressions_sum_3be0a0e7", + expression="impressions", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT COALESCE(SUM(clicks_sum_c45fd8cf) / " + "SUM(impressions_sum_3be0a0e7), 0) FROM parent_node", + ) + + metric_rev5 = await create_metric( + "SELECT IF(SUM(clicks) > 0, CAST(SUM(impressions) AS DOUBLE) " + "/ CAST(SUM(clicks) AS DOUBLE), NULL) FROM parent_node", + ) + extractor5 = MetricComponentExtractor(metric_rev5.id) + measures, derived_sql = await extractor5.extract(session) + expected_measures = [ + MetricComponent( + name="clicks_sum_c45fd8cf", + expression="clicks", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="impressions_sum_3be0a0e7", + expression="impressions", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT IF(SUM(clicks_sum_c45fd8cf) > 0, CAST(SUM(impressions_sum_3be0a0e7) AS DOUBLE)" + " / CAST(SUM(clicks_sum_c45fd8cf) AS DOUBLE), NULL) FROM parent_node", + ) + + metric_rev6 = await create_metric( + "SELECT ln(sum(clicks) + 1) / sum(views) FROM parent_node", + ) + extractor6 = MetricComponentExtractor(metric_rev6.id) + measures, derived_sql = await extractor6.extract(session) + expected_measures = [ + MetricComponent( + name="clicks_sum_c45fd8cf", + expression="clicks", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="views_sum_d8e39817", + expression="views", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT ln(SUM(clicks_sum_c45fd8cf) + 1) / SUM(views_sum_d8e39817) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_max_if(session: AsyncSession, create_metric): + """ + Test decomposition for a metric definition that uses MAX. + """ + metric_rev = await create_metric("SELECT MAX(IF(condition, 1, 0)) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="condition_max_f04b0c57", + expression="IF(condition, 1, 0)", + aggregation="MAX", + merge="MAX", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT MAX(condition_max_f04b0c57) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_fraction_with_if(session: AsyncSession, create_metric): + """ + Test decomposition for a rate metric with complex numerator and denominators. + """ + metric_rev = await create_metric( + "SELECT IF(SUM(COALESCE(action, 0)) > 0, " + "CAST(SUM(COALESCE(action_two, 0)) AS DOUBLE) / " + "CAST(SUM(COALESCE(action, 0)) AS DOUBLE), NULL) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + expected_measures = [ + MetricComponent( + name="action_sum_c9802ccb", + expression="COALESCE(action, 0)", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="action_two_sum_05d921a8", + expression="COALESCE(action_two, 0)", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT IF(SUM(action_sum_c9802ccb) > 0, " + "CAST(SUM(action_two_sum_05d921a8) AS DOUBLE) / " + "CAST(SUM(action_sum_c9802ccb) AS DOUBLE), NULL) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_count(session: AsyncSession, create_metric): + """ + Test decomposition for a count metric. + + COUNT aggregation merges as SUM (sum up the counts). + """ + metric_rev = await create_metric( + "SELECT COUNT(IF(action = 1, action_event_ts, 0)) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="action_action_event_ts_count_7d582e65", + expression="IF(action = 1, action_event_ts, 0)", + aggregation="COUNT", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + # Verify COUNT merges as SUM + assert measures[0].merge == "SUM" + assert_sql_equal( + str(derived_sql), + "SELECT SUM(action_action_event_ts_count_7d582e65) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_count_distinct_rate(session: AsyncSession, create_metric): + """ + Test decomposition for a metric that uses count distinct. + """ + metric_rev = await create_metric( + "SELECT COUNT(DISTINCT user_id) / COUNT(action) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="user_id_distinct_7f092f23", + expression="user_id", + aggregation=None, + merge=None, + rule=AggregationRule( + type=Aggregability.LIMITED, + level=["user_id"], + ), + ), + MetricComponent( + name="action_count_50d753fd", + expression="action", + aggregation="COUNT", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT COUNT( DISTINCT user_id_distinct_7f092f23) / " + "SUM(action_count_50d753fd) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_any_value(session: AsyncSession, create_metric): + """ + Test decomposition for a metric definition that has ANY_VALUE as the agg function + """ + metric_rev = await create_metric("SELECT ANY_VALUE(sales_amount) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="sales_amount_any_value_b5a3cefe", + expression="sales_amount", + aggregation="ANY_VALUE", + merge="ANY_VALUE", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT ANY_VALUE(sales_amount_any_value_b5a3cefe) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_no_aggregation(session: AsyncSession, create_metric): + """ + Test behavior when there is no aggregation function in the metric query. + """ + metric_rev = await create_metric("SELECT sales_amount FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + assert measures == [] + assert_sql_equal(str(derived_sql), "SELECT sales_amount FROM parent_node") + + +@pytest.mark.asyncio +async def test_multiple_aggregations_with_conditions( + session: AsyncSession, + create_metric, +): + """ + Test behavior with conditional aggregations in the metric query. + """ + metric_rev = await create_metric( + "SELECT SUM(IF(region = 'US', sales_amount, 0)) + " + "COUNT(DISTINCT IF(region = 'US', account_id, NULL)) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="region_sales_amount_sum_5467b14a", + expression="IF(region = 'US', sales_amount, 0)", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="region_account_id_distinct_ee608f27", + expression="IF(region = 'US', account_id, NULL)", + aggregation=None, + merge=None, + rule=AggregationRule( + type=Aggregability.LIMITED, + level=["IF(region = 'US', account_id, NULL)"], + ), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT SUM(region_sales_amount_sum_5467b14a) + " + "COUNT(DISTINCT region_account_id_distinct_ee608f27) FROM parent_node", + ) + + metric_rev2 = await create_metric( + "SELECT cast(coalesce(max(a), max(b), 0) as double) + " + "cast(coalesce(max(a), max(b)) as double) FROM parent_node", + ) + extractor2 = MetricComponentExtractor(metric_rev2.id) + measures, derived_sql = await extractor2.extract(session) + expected_measures = [ + MetricComponent( + name="a_max_0f00346b", + expression="a", + aggregation="MAX", + merge="MAX", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + MetricComponent( + name="b_max_6d64a2e5", + expression="b", + aggregation="MAX", + merge="MAX", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT CAST(coalesce(MAX(a_max_0f00346b), MAX(b_max_6d64a2e5), 0) AS DOUBLE) + " + "CAST(coalesce(MAX(a_max_0f00346b), MAX(b_max_6d64a2e5)) AS DOUBLE) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_min_agg(session: AsyncSession, create_metric): + metric_rev = await create_metric("SELECT MIN(a) FROM parent") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + assert measures == [ + MetricComponent( + name="a_min_3cf406a5", + expression="a", + aggregation="MIN", + merge="MIN", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + ] + assert_sql_equal(str(derived_sql), "SELECT MIN(a_min_3cf406a5) FROM parent") + + +@pytest.mark.asyncio +async def test_empty_query(session: AsyncSession, create_metric): + """ + Test behavior when the metric query is empty. + """ + metric_rev = await create_metric("") + extractor = MetricComponentExtractor(metric_rev.id) + with pytest.raises(DJParseException, match="Empty query provided!"): + await extractor.extract(session) + + +@pytest.mark.asyncio +async def test_unsupported_aggregation_function(session: AsyncSession, create_metric): + """ + Test behavior when the query contains unsupported aggregation functions. We just return an + empty list of measures in this case, because there are no pre-aggregatable measures. + """ + metric_rev = await create_metric("SELECT MEDIAN(sales_amount) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + assert measures == [] + assert_sql_equal(str(derived_sql), "SELECT MEDIAN(sales_amount) FROM parent_node") + + metric_rev2 = await create_metric( + "SELECT approx_percentile(duration_ms, 1.0, 0.9) / 1000 FROM parent_node", + ) + extractor2 = MetricComponentExtractor(metric_rev2.id) + measures, derived_sql = await extractor2.extract(session) + assert measures == [] + assert_sql_equal( + str(derived_sql), + "SELECT approx_percentile(duration_ms, 1.0, 0.9) / 1000 FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_count_if(session: AsyncSession, create_metric): + """ + Test decomposition for count_if. + """ + metric_rev = await create_metric( + "SELECT CAST(COUNT_IF(ARRAY_CONTAINS(field_a, 'xyz')) AS FLOAT) / COUNT(*) " + "FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="field_a_count_if_3979ffbd", + expression="ARRAY_CONTAINS(field_a, 'xyz')", + aggregation="COUNT_IF", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + MetricComponent( + name="count_58ac32c5", + expression="*", + aggregation="COUNT", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT CAST(SUM(field_a_count_if_3979ffbd) AS FLOAT) / SUM(count_58ac32c5) " + "FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_metric_query_with_aliases(session: AsyncSession, create_metric): + """ + Test behavior when the query contains unsupported aggregation functions. We just return an + empty list of measures in this case, because there are no pre-aggregatable measures. + """ + metric_rev = await create_metric( + "SELECT avg(cast(repair_orders_fact.time_to_dispatch as int)) " + "FROM default.repair_orders_fact repair_orders_fact", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="time_to_dispatch_count_3bc9baed", + expression="CAST(time_to_dispatch AS INT)", + aggregation="COUNT", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + MetricComponent( + name="time_to_dispatch_sum_3bc9baed", + expression="CAST(time_to_dispatch AS INT)", + aggregation="SUM", + merge="SUM", + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + ] + assert measures == expected_measures + assert_sql_equal( + str(derived_sql), + "SELECT SUM(time_to_dispatch_sum_3bc9baed) / " + "SUM(time_to_dispatch_count_3bc9baed) FROM default.repair_orders_fact", + ) + + +@pytest.mark.asyncio +async def test_max_by(session: AsyncSession, create_metric): + """ + Test decomposition for a metric that uses MAX_BY. + """ + metric_rev = await create_metric( + "SELECT MAX_BY(IF(condition, 1, 0), dimension) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + assert measures == [] + assert_sql_equal( + str(derived_sql), + "SELECT MAX_BY(IF(condition, 1, 0), dimension) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_min_by(session: AsyncSession, create_metric): + """ + Test decomposition for a metric that uses MIN_BY. + """ + metric_rev = await create_metric( + "SELECT MIN_BY(IF(condition, 1, 0), dimension) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + assert measures == [] + assert_sql_equal( + str(derived_sql), + "SELECT MIN_BY(IF(condition, 1, 0), dimension) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_approx_count_distinct(session: AsyncSession, create_metric): + """ + Test decomposition for an approximate count distinct metric. + + APPROX_COUNT_DISTINCT decomposes to HLL sketch operations using Spark functions: + - aggregation: hll_sketch_agg (Spark's function for building HLL sketch) + - merge: hll_union (Spark's function for combining sketches) + - The combiner uses hll_sketch_estimate(hll_union(...)) to get the final count + + Translation to other dialects (Druid, Trino) happens in the transpilation layer. + """ + metric_rev = await create_metric( + "SELECT APPROX_COUNT_DISTINCT(user_id) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + expected_measures = [ + MetricComponent( + name="user_id_hll_7f092f23", + expression="user_id", + aggregation="hll_sketch_agg", # Spark's HLL accumulate + merge="hll_union_agg", # Spark's HLL merge + rule=AggregationRule(type=Aggregability.FULL, level=None), + ), + ] + assert measures == expected_measures + # Verify the derived SQL uses Spark HLL functions + assert_sql_equal( + str(derived_sql), + "SELECT hll_sketch_estimate(hll_union_agg(user_id_hll_7f092f23)) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_approx_count_distinct_with_expression( + session: AsyncSession, + create_metric, +): + """ + Test decomposition for APPROX_COUNT_DISTINCT with a complex expression. + """ + metric_rev = await create_metric( + "SELECT APPROX_COUNT_DISTINCT(COALESCE(user_id, 'unknown')) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Verify structure of the measure (hash value may vary) + assert len(measures) == 1 + measure = measures[0] + assert measure.expression == "COALESCE(user_id, 'unknown')" + assert measure.aggregation == "hll_sketch_agg" + assert measure.merge == "hll_union_agg" + assert measure.rule.type == Aggregability.FULL + + # Verify derived SQL contains the HLL functions + derived_str = str(derived_sql) + assert "hll_sketch_estimate" in derived_str + assert "hll_union_agg" in derived_str + assert "_hll_" in derived_str + + +@pytest.mark.asyncio +async def test_approx_count_distinct_with_conditional( + session: AsyncSession, + create_metric, +): + """ + Test decomposition for APPROX_COUNT_DISTINCT with IF condition. + """ + metric_rev = await create_metric( + "SELECT APPROX_COUNT_DISTINCT(IF(active = 1, user_id, NULL)) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Verify structure of the measure + assert len(measures) == 1 + measure = measures[0] + assert measure.expression == "IF(active = 1, user_id, NULL)" + assert measure.aggregation == "hll_sketch_agg" + assert measure.merge == "hll_union_agg" + assert measure.rule.type == Aggregability.FULL + + # Verify derived SQL contains the HLL functions + derived_str = str(derived_sql) + assert "hll_sketch_estimate" in derived_str + assert "hll_union_agg" in derived_str + + +@pytest.mark.asyncio +async def test_approx_count_distinct_combined_with_sum( + session: AsyncSession, + create_metric, +): + """ + Test decomposition for a metric combining APPROX_COUNT_DISTINCT with SUM. + """ + metric_rev = await create_metric( + "SELECT SUM(revenue) / APPROX_COUNT_DISTINCT(user_id) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Should have two measures: one for SUM, one for HLL + assert len(measures) == 2 + + # Find SUM measure + sum_measures = [m for m in measures if m.aggregation == "SUM"] + assert len(sum_measures) == 1 + assert sum_measures[0].expression == "revenue" + assert sum_measures[0].merge == "SUM" + + # Find HLL measure + hll_measures = [m for m in measures if m.aggregation == "hll_sketch_agg"] + assert len(hll_measures) == 1 + assert hll_measures[0].expression == "user_id" + assert hll_measures[0].merge == "hll_union_agg" + + # Verify derived SQL has both + derived_str = str(derived_sql) + assert "SUM(" in derived_str + assert "hll_sketch_estimate" in derived_str + assert "hll_union_agg" in derived_str + + +@pytest.mark.asyncio +async def test_approx_count_distinct_multiple(session: AsyncSession, create_metric): + """ + Test decomposition with multiple APPROX_COUNT_DISTINCT on different columns. + """ + metric_rev = await create_metric( + "SELECT APPROX_COUNT_DISTINCT(user_id) + APPROX_COUNT_DISTINCT(session_id) " + "FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Should have two HLL measures + assert len(measures) == 2 + assert all(m.aggregation == "hll_sketch_agg" for m in measures) + assert all(m.merge == "hll_union_agg" for m in measures) + + # Verify both expressions are present + expressions = {m.expression for m in measures} + assert expressions == {"user_id", "session_id"} + + # Verify derived SQL has both HLL estimate calls + derived_str = str(derived_sql) + assert derived_str.count("hll_sketch_estimate") == 2 + assert derived_str.count("hll_union_agg") == 2 + + +@pytest.mark.asyncio +async def test_approx_count_distinct_rate(session: AsyncSession, create_metric): + """ + Test decomposition for a rate metric using APPROX_COUNT_DISTINCT. + + Example: unique users who clicked / unique users who viewed + """ + metric_rev = await create_metric( + "SELECT CAST(APPROX_COUNT_DISTINCT(IF(clicked = 1, user_id, NULL)) AS DOUBLE) / " + "CAST(APPROX_COUNT_DISTINCT(user_id) AS DOUBLE) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Should have two HLL measures + assert len(measures) == 2 + assert all(m.aggregation == "hll_sketch_agg" for m in measures) + assert all(m.merge == "hll_union_agg" for m in measures) + + # Verify expressions + expressions = {m.expression for m in measures} + assert "user_id" in expressions + assert "IF(clicked = 1, user_id, NULL)" in expressions + + # Verify derived SQL structure + derived_str = str(derived_sql) + assert_sql_equal( + derived_str, + "SELECT CAST(hll_sketch_estimate(hll_union_agg(clicked_user_id_hll_f3824813)) AS DOUBLE) / CAST(hll_sketch_estimate(hll_union_agg(user_id_hll_7f092f23)) AS DOUBLE) FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_approx_count_distinct_dialect_translation( + session: AsyncSession, + create_metric, +): + """ + Test that the decomposed HLL SQL can be translated to different dialects. + + This is an integration test showing the full flow: + 1. Decompose APPROX_COUNT_DISTINCT -> Spark HLL functions + 2. Translate Spark HLL functions -> target dialect + """ + metric_rev = await create_metric( + "SELECT APPROX_COUNT_DISTINCT(user_id) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + _, derived_sql = await extractor.extract(session) + spark_sql = str(derived_sql) + + # The decomposed SQL uses Spark HLL functions + assert_sql_equal( + spark_sql, + "SELECT hll_sketch_estimate(hll_union_agg(user_id_hll_7f092f23)) FROM parent_node", + ) + + # Translate to Druid + druid_sql = to_sql(derived_sql, Dialect.DRUID) + assert_sql_equal( + druid_sql, + "SELECT hll_sketch_estimate(ds_hll(user_id_hll_7f092f23)) FROM parent_node", + ) + + # Translate to Trino + trino_sql = to_sql(derived_sql, Dialect.TRINO) + assert_sql_equal( + trino_sql, + "SELECT cardinality(merge(user_id_hll_7f092f23)) FROM parent_node", + ) + + # Spark to Spark is identity + spark_spark_sql = to_sql(derived_sql, Dialect.SPARK) + assert spark_spark_sql == spark_sql + + +@pytest.mark.asyncio +async def test_approx_count_distinct_combined_metrics_dialect_translation( + session: AsyncSession, + create_metric, +): + """ + Test dialect translation for a complex metric combining HLL with other aggregations. + """ + metric_rev = await create_metric( + "SELECT SUM(revenue) / APPROX_COUNT_DISTINCT(user_id) AS revenue_per_user " + "FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + _, derived_sql = await extractor.extract(session) + spark_sql = str(derived_sql) + + # Verify Spark SQL structure - contains both SUM and HLL + assert_sql_equal( + spark_sql, + "SELECT SUM(revenue_sum_60e4d31f) / hll_sketch_estimate(hll_union_agg(user_id_hll_7f092f23)) AS revenue_per_user FROM parent_node", + ) + + # Translate to Druid - should preserve SUM but translate HLL + druid_sql = to_sql(derived_sql, Dialect.DRUID) + assert_sql_equal( + druid_sql, + "SELECT SAFE_DIVIDE(SUM(revenue_sum_60e4d31f), hll_sketch_estimate(ds_hll(user_id_hll_7f092f23))) AS revenue_per_user FROM parent_node", + ) + + # Translate to Trino + trino_sql = to_sql(derived_sql, Dialect.TRINO) + assert_sql_equal( + trino_sql, + "SELECT SUM(revenue_sum_60e4d31f) / cardinality(merge(user_id_hll_7f092f23)) AS revenue_per_user FROM parent_node", + ) + + +@pytest.mark.asyncio +async def test_var_pop(session: AsyncSession, create_metric): + """ + Test decomposition for a population variance metric. + + VAR_POP decomposes into three components: + - SUM(x): to compute mean + - SUM(POWER(x, 2)): sum of squares (uses template syntax) + - COUNT(x): for normalization + + Formula: E[X²] - E[X]² = (sum_sq/n) - (sum/n)² + """ + metric_rev = await create_metric("SELECT VAR_POP(price) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Verify we have exactly 3 components + assert len(measures) == 3 + + # Build a lookup by aggregation type for order-independent assertions + by_agg = {m.aggregation: m for m in measures} + + # Check SUM component + assert "SUM" in by_agg + assert by_agg["SUM"].expression == "price" + assert by_agg["SUM"].merge == "SUM" + assert "_sum_" in by_agg["SUM"].name + + # Check SUM(POWER(price, 2)) component - expanded template for sum of squares + assert "SUM(POWER(price, 2))" in by_agg + assert by_agg["SUM(POWER(price, 2))"].expression == "price" + assert by_agg["SUM(POWER(price, 2))"].merge == "SUM" + assert "_sum_sq_" in by_agg["SUM(POWER(price, 2))"].name + + # Check COUNT component + assert "COUNT" in by_agg + assert by_agg["COUNT"].expression == "price" + assert by_agg["COUNT"].merge == "SUM" + assert "_count_" in by_agg["COUNT"].name + + # The derived SQL should reference all components + derived_str = str(derived_sql) + assert_sql_equal( + derived_str, + """ + SELECT + SUM(price_sum_sq_726db899) / SUM(price_count_726db899) - + POWER(SUM(price_sum_726db899) / SUM(price_count_726db899), 2) + FROM parent_node""", + ) + + +@pytest.mark.asyncio +async def test_var_samp(session: AsyncSession, create_metric): + """ + Test decomposition for a sample variance metric. + + VAR_SAMP uses n-1 in the denominator (Bessel's correction). + """ + metric_rev = await create_metric("SELECT VAR_SAMP(price) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Same components as VAR_POP + assert len(measures) == 3 + agg_types = {m.aggregation for m in measures} + assert agg_types == {"SUM", "SUM(POWER(price, 2))", "COUNT"} + assert_sql_equal( + str(derived_sql), + """ + SELECT + SUM(price_count_726db899) * SUM(price_sum_sq_726db899) - POWER(SUM(price_sum_726db899), 2) / SUM(price_count_726db899) * SUM(price_count_726db899) - 1 + FROM parent_node""", + ) + + +@pytest.mark.asyncio +async def test_stddev_pop(session: AsyncSession, create_metric): + """ + Test decomposition for population standard deviation. + + STDDEV_POP = SQRT(VAR_POP), so it uses the same components as variance. + """ + metric_rev = await create_metric("SELECT STDDEV_POP(price) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Same components as VAR_POP + assert len(measures) == 3 + agg_types = {m.aggregation for m in measures} + assert agg_types == {"SUM", "SUM(POWER(price, 2))", "COUNT"} + + # Derived SQL should include SQRT for standard deviation + derived_str = str(derived_sql) + assert_sql_equal( + derived_str, + """SELECT + SQRT( + SUM(price_sum_sq_726db899) / SUM(price_count_726db899) - + POWER(SUM(price_sum_726db899) / SUM(price_count_726db899), 2) + ) + FROM parent_node""", + ) + + +@pytest.mark.asyncio +async def test_stddev_samp(session: AsyncSession, create_metric): + """ + Test decomposition for sample standard deviation. + + STDDEV_SAMP = SQRT(VAR_SAMP). + """ + metric_rev = await create_metric("SELECT STDDEV_SAMP(price) FROM parent_node") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Same components as VAR_SAMP + assert len(measures) == 3 + agg_types = {m.aggregation for m in measures} + assert agg_types == {"SUM", "SUM(POWER(price, 2))", "COUNT"} + + # Derived SQL should include SQRT + derived_str = str(derived_sql) + assert_sql_equal( + derived_str, + """ + SELECT + SQRT( + SUM(price_count_726db899) * SUM(price_sum_sq_726db899) - + POWER(SUM(price_sum_726db899), 2) / + SUM(price_count_726db899) * SUM(price_count_726db899) - 1 + ) + FROM parent_node""", + ) + + +@pytest.mark.asyncio +async def test_covar_pop(session: AsyncSession, create_metric): + """Test COVAR_POP decomposition - population covariance.""" + metric_rev = await create_metric( + "SELECT COVAR_POP(price, quantity) FROM parent_node", + ) + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Should have 4 components: sum_x, sum_y, sum_xy, count + assert len(measures) == 4 + agg_types = {m.aggregation for m in measures} + assert agg_types == { + "SUM(price)", + "SUM(quantity)", + "SUM(price * quantity)", + "COUNT(price)", + } + + # All components should merge via SUM + for m in measures: + assert m.merge == "SUM" + + # Check component naming + by_agg = {m.aggregation: m for m in measures} + assert "_sum_x_" in by_agg["SUM(price)"].name + assert "_sum_y_" in by_agg["SUM(quantity)"].name + assert "_sum_xy_" in by_agg["SUM(price * quantity)"].name + assert "_count_" in by_agg["COUNT(price)"].name + + +@pytest.mark.asyncio +async def test_covar_samp(session: AsyncSession, create_metric): + """Test COVAR_SAMP decomposition - sample covariance with Bessel's correction.""" + metric_rev = await create_metric("SELECT COVAR_SAMP(revenue, cost) FROM sales") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Same 4 components as COVAR_POP + assert len(measures) == 4 + agg_types = {m.aggregation for m in measures} + assert agg_types == { + "SUM(revenue)", + "SUM(cost)", + "SUM(revenue * cost)", + "COUNT(revenue)", + } + + +@pytest.mark.asyncio +async def test_corr(session: AsyncSession, create_metric): + """Test CORR decomposition - Pearson correlation coefficient.""" + metric_rev = await create_metric("SELECT CORR(x, y) FROM data") + extractor = MetricComponentExtractor(metric_rev.id) + measures, derived_sql = await extractor.extract(session) + + # Should have 6 components: sum_x, sum_y, sum_x_sq, sum_y_sq, sum_xy, count + assert len(measures) == 6 + agg_types = {m.aggregation for m in measures} + assert agg_types == { + "SUM(x)", + "SUM(y)", + "SUM(POWER(x, 2))", + "SUM(POWER(y, 2))", + "SUM(x * y)", + "COUNT(x)", + } + + # All components should merge via SUM + for m in measures: + assert m.merge == "SUM" + + # Check component naming includes both columns where appropriate + by_agg = {m.aggregation: m for m in measures} + assert "_sum_x_" in by_agg["SUM(x)"].name + assert "_sum_y_" in by_agg["SUM(y)"].name + assert "_sum_x_sq_" in by_agg["SUM(POWER(x, 2))"].name + assert "_sum_y_sq_" in by_agg["SUM(POWER(y, 2))"].name + assert "_sum_xy_" in by_agg["SUM(x * y)"].name + assert "_count_" in by_agg["COUNT(x)"].name + + +# ============================================================================= +# Tests for extract_from_base_metrics (derived metrics) +# ============================================================================= + + +@pytest_asyncio.fixture +async def create_base_metric( + clean_session: AsyncSession, + clean_current_user, + parent_node, +): + """Fixture to create a base metric node with a query (has non-metric parent).""" + session = clean_session + current_user = clean_current_user + created_metrics = {} + + async def _create(name: str, query: str): + metric_node = Node( + name=name, + type=NodeType.METRIC, + current_version="v1.0", + created_by_id=current_user.id, + ) + session.add(metric_node) + await session.flush() + + metric_rev = NodeRevision( + node_id=metric_node.id, + version="v1.0", + name=name, + type=NodeType.METRIC, + query=query, + created_by_id=current_user.id, + ) + session.add(metric_rev) + await session.flush() + + # Base metric has source node as parent (not another metric) + rel = NodeRelationship(parent_id=parent_node.id, child_id=metric_rev.id) + session.add(rel) + await session.flush() + + created_metrics[name] = (metric_node, metric_rev) + return metric_node, metric_rev + + return _create + + +@pytest_asyncio.fixture +async def create_derived_metric(clean_session: AsyncSession, clean_current_user): + """Fixture to create a derived metric that references base metrics.""" + session = clean_session + current_user = clean_current_user + + async def _create(name: str, query: str, base_metric_nodes: list[Node]): + metric_node = Node( + name=name, + type=NodeType.METRIC, + current_version="v1.0", + created_by_id=current_user.id, + ) + session.add(metric_node) + await session.flush() + + metric_rev = NodeRevision( + node_id=metric_node.id, + version="v1.0", + name=name, + type=NodeType.METRIC, + query=query, + created_by_id=current_user.id, + ) + session.add(metric_rev) + await session.flush() + + # Derived metric has base metrics as parents + for base_node in base_metric_nodes: + rel = NodeRelationship(parent_id=base_node.id, child_id=metric_rev.id) + session.add(rel) + + await session.flush() + return metric_node, metric_rev + + return _create + + +@pytest.mark.asyncio +async def test_extract_derived_metric_revenue_per_order( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test derived metric: revenue_per_order = revenue / orders + + This tests the "same parent" pattern where both base metrics come from the + same fact table (orders_source). The derived metric references both by name. + """ + session = clean_session + # Create base metrics (both from same "orders" fact) + revenue_node, _ = await create_base_metric( + "default.revenue", + "SELECT SUM(amount) FROM default.orders_source", + ) + orders_node, _ = await create_base_metric( + "default.orders", + "SELECT COUNT(*) FROM default.orders_source", + ) + + # Create derived metric: revenue per order with NULLIF for divide-by-zero protection + _, derived_rev = await create_derived_metric( + "default.revenue_per_order", + "SELECT default.revenue / NULLIF(default.orders, 0)", + [revenue_node, orders_node], + ) + + extractor = MetricComponentExtractor(derived_rev.id) + components, derived_ast = await extractor.extract(session) + derived_sql = str(derived_ast) + + # Should collect components from both base metrics: + # - revenue: SUM(amount) -> amount_sum component + # - orders: COUNT(*) -> count component + assert len(components) == 2 + + # Verify component types + agg_types = {c.aggregation for c in components} + assert "SUM" in agg_types + assert "COUNT" in agg_types + + # Derived SQL should have metric references substituted + assert "default.revenue" not in derived_sql + assert "default.orders" not in derived_sql + # Should contain the combiner expressions + assert "SUM(" in derived_sql + assert "NULLIF(" in derived_sql + + +@pytest.mark.asyncio +async def test_extract_derived_metric_cross_fact_ratio( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test derived metric: revenue_per_page_view = revenue / page_views + + This tests the "cross-fact" pattern where base metrics come from different + fact tables (orders_source and events_source) that share dimensions. + """ + session = clean_session + # Create base metrics from different facts + revenue_node, _ = await create_base_metric( + "default.revenue", + "SELECT SUM(amount) FROM default.orders_source", + ) + page_views_node, _ = await create_base_metric( + "default.page_views", + "SELECT SUM(page_views) FROM default.events_source", + ) + + # Create cross-fact derived metric + _, derived_rev = await create_derived_metric( + "default.revenue_per_page_view", + "SELECT default.revenue / NULLIF(default.page_views, 0)", + [revenue_node, page_views_node], + ) + + extractor = MetricComponentExtractor(derived_rev.id) + components, derived_ast = await extractor.extract(session) + derived_sql = str(derived_ast) + + # Should collect SUM components from both base metrics + assert len(components) == 2 + assert all(c.aggregation == "SUM" for c in components) + + # Verify expressions reference different columns + expressions = {c.expression for c in components} + assert "amount" in expressions + assert "page_views" in expressions + + # Derived SQL should have metric references substituted + assert "default.revenue" not in derived_sql + assert "default.page_views" not in derived_sql + + +@pytest.mark.asyncio +async def test_extract_derived_metric_shared_components( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test component deduplication when base metrics share the same aggregation. + + When two base metrics have identical aggregations (same expression + function), + they produce the same component hash and should be deduplicated. + """ + session = clean_session + # Two base metrics that both aggregate "amount" with SUM + # They'll produce the same component: amount_sum_ + gross_revenue_node, _ = await create_base_metric( + "default.gross_revenue", + "SELECT SUM(amount) FROM default.orders_source", + ) + net_revenue_node, _ = await create_base_metric( + "default.net_revenue", + "SELECT SUM(amount) - SUM(discount) FROM default.orders_source", + ) + + # Derived metric that uses both + _, derived_rev = await create_derived_metric( + "default.revenue_ratio", + "SELECT default.gross_revenue / NULLIF(default.net_revenue, 0)", + [gross_revenue_node, net_revenue_node], + ) + + extractor = MetricComponentExtractor(derived_rev.id) + components, _ = await extractor.extract(session) + + # Should have 2 unique components: + # - amount_sum (shared between both metrics - deduplicated) + # - discount_sum (only in net_revenue) + assert len(components) == 2 + + # Verify the amount component appears only once + amount_components = [c for c in components if c.expression == "amount"] + assert len(amount_components) == 1 + + +# ============================================================================= +# Tests for Nested Derived Metrics (derived metrics referencing derived metrics) +# ============================================================================= + + +@pytest.mark.asyncio +async def test_extract_nested_derived_metric_two_levels( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test nested derived metric: growth_index = derived_metric / constant + + Structure: + - base_metric: SUM(amount) -> revenue + - derived_metric_1: revenue * 1.1 (references base_metric) + - nested_derived: derived_metric_1 / 100 (references derived_metric_1) + + The nested derived should decompose all the way to the base components. + """ + session = clean_session + # Level 0: Base metric + revenue_node, _ = await create_base_metric( + "default.revenue", + "SELECT SUM(amount) FROM default.orders_source", + ) + + # Level 1: Derived metric referencing base metric + adjusted_revenue_node, _ = await create_derived_metric( + "default.adjusted_revenue", + "SELECT default.revenue * 1.1", + [revenue_node], + ) + + # Level 2: Nested derived metric referencing level 1 derived metric + _, growth_index_rev = await create_derived_metric( + "default.growth_index", + "SELECT default.adjusted_revenue / 100", + [adjusted_revenue_node], + ) + + extractor = MetricComponentExtractor(growth_index_rev.id) + components, derived_ast = await extractor.extract(session) + derived_sql = str(derived_ast) + + # Should decompose all the way to base components + assert len(components) == 1 + assert components[0].aggregation == "SUM" + assert components[0].expression == "amount" + + # Derived SQL should NOT contain any intermediate metric references + assert "default.revenue" not in derived_sql + assert "default.adjusted_revenue" not in derived_sql + + # Should contain the fully expanded combiner expression + assert "SUM(" in derived_sql + assert "1.1" in derived_sql + assert "100" in derived_sql + + +@pytest.mark.asyncio +async def test_extract_nested_derived_metric_three_levels( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test 3-level nested derived metric decomposition. + + Structure: + - L0: total_orders = COUNT(*) FROM orders + - L1: orders_per_day = total_orders / 30 + - L2: weekly_avg = orders_per_day * 7 + - L3: monthly_projection = weekly_avg * 4.3 + + Should decompose to the COUNT(*) component. + """ + session = clean_session + # Level 0 + total_orders_node, _ = await create_base_metric( + "default.total_orders", + "SELECT COUNT(*) FROM default.orders_source", + ) + + # Level 1 + orders_per_day_node, _ = await create_derived_metric( + "default.orders_per_day", + "SELECT default.total_orders / 30", + [total_orders_node], + ) + + # Level 2 + weekly_avg_node, _ = await create_derived_metric( + "default.weekly_avg", + "SELECT default.orders_per_day * 7", + [orders_per_day_node], + ) + + # Level 3 + _, monthly_projection_rev = await create_derived_metric( + "default.monthly_projection", + "SELECT default.weekly_avg * 4.3", + [weekly_avg_node], + ) + + extractor = MetricComponentExtractor(monthly_projection_rev.id) + components, derived_ast = await extractor.extract(session) + derived_sql = str(derived_ast) + + # Should decompose all the way to COUNT(*) component + assert len(components) == 1 + assert components[0].aggregation == "COUNT" + assert components[0].merge == "SUM" # COUNT merges as SUM + + # Should not contain intermediate metric references + assert "default.total_orders" not in derived_sql + assert "default.orders_per_day" not in derived_sql + assert "default.weekly_avg" not in derived_sql + + +@pytest.mark.asyncio +async def test_extract_nested_derived_metric_multiple_base_metrics( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test nested derived metric that ultimately depends on multiple base metrics. + + Structure: + - L0: revenue = SUM(amount) + - L0: order_count = COUNT(*) + - L1: aov = revenue / order_count (derived from 2 base metrics) + - L2: aov_index = aov * 100 (nested derived) + + Should decompose to both base metric components. + """ + session = clean_session + # Level 0: Two base metrics + revenue_node, _ = await create_base_metric( + "default.revenue", + "SELECT SUM(amount) FROM default.orders_source", + ) + order_count_node, _ = await create_base_metric( + "default.order_count", + "SELECT COUNT(*) FROM default.orders_source", + ) + + # Level 1: Derived metric from both base metrics + aov_node, _ = await create_derived_metric( + "default.aov", + "SELECT default.revenue / NULLIF(default.order_count, 0)", + [revenue_node, order_count_node], + ) + + # Level 2: Nested derived + _, aov_index_rev = await create_derived_metric( + "default.aov_index", + "SELECT default.aov * 100", + [aov_node], + ) + + extractor = MetricComponentExtractor(aov_index_rev.id) + components, derived_ast = await extractor.extract(session) + derived_sql = str(derived_ast) + + # Should have components from both base metrics + assert len(components) == 2 + agg_types = {c.aggregation for c in components} + assert agg_types == {"SUM", "COUNT"} + + # Should not contain any metric references + assert "default.revenue" not in derived_sql + assert "default.order_count" not in derived_sql + assert "default.aov" not in derived_sql + + +@pytest.mark.asyncio +async def test_extract_nested_derived_circular_reference_detection( + clean_session: AsyncSession, + clean_current_user, +): + """ + Test that circular references in nested derived metrics are detected. + + Structure: + - metric_a references metric_b + - metric_b references metric_a (circular!) + + Should raise ValueError with cycle detection message. + """ + session = clean_session + current_user = clean_current_user + + # Create two metric nodes that will reference each other + metric_a_node = Node( + name="default.metric_a", + type=NodeType.METRIC, + current_version="v1.0", + created_by_id=current_user.id, + ) + session.add(metric_a_node) + await session.flush() + + metric_b_node = Node( + name="default.metric_b", + type=NodeType.METRIC, + current_version="v1.0", + created_by_id=current_user.id, + ) + session.add(metric_b_node) + await session.flush() + + # Create revisions + metric_a_rev = NodeRevision( + node_id=metric_a_node.id, + version="v1.0", + name="default.metric_a", + type=NodeType.METRIC, + query="SELECT default.metric_b * 2", + created_by_id=current_user.id, + ) + session.add(metric_a_rev) + await session.flush() + + metric_b_rev = NodeRevision( + node_id=metric_b_node.id, + version="v1.0", + name="default.metric_b", + type=NodeType.METRIC, + query="SELECT default.metric_a / 2", + created_by_id=current_user.id, + ) + session.add(metric_b_rev) + await session.flush() + + # Create circular relationships + rel_a = NodeRelationship(parent_id=metric_b_node.id, child_id=metric_a_rev.id) + rel_b = NodeRelationship(parent_id=metric_a_node.id, child_id=metric_b_rev.id) + session.add(rel_a) + session.add(rel_b) + await session.flush() + + # Build cache for cache-based extraction + nodes_cache = { + "default.metric_a": metric_a_node, + "default.metric_b": metric_b_node, + } + # Need to set current revision on nodes for cache-based extraction + metric_a_node.current = metric_a_rev + metric_b_node.current = metric_b_rev + + parent_map = { + "default.metric_a": ["default.metric_b"], + "default.metric_b": ["default.metric_a"], + } + + extractor = MetricComponentExtractor(metric_a_rev.id) + + # Should detect the circular reference + with pytest.raises(ValueError, match="Circular metric reference detected"): + await extractor.extract( + session, + nodes_cache=nodes_cache, + parent_map=parent_map, + metric_node=metric_a_node, + ) + + +@pytest.mark.asyncio +async def test_extract_with_cache_basic( + clean_session: AsyncSession, + create_base_metric, +): + """ + Test extraction using the cache-based path (nodes_cache, parent_map). + + This is the path used by build_v3 for efficiency. + """ + session = clean_session + # Create a base metric + revenue_node, revenue_rev = await create_base_metric( + "default.revenue", + "SELECT SUM(amount) FROM default.orders_source", + ) + + # Set current revision on node + revenue_node.current = revenue_rev + + # Build cache + nodes_cache = {"default.revenue": revenue_node} + parent_map: dict[str, list[str]] = { + "default.revenue": [], + } # No metric parents (it's a base metric) + + extractor = MetricComponentExtractor(revenue_rev.id) + components, derived_ast = await extractor.extract( + session, + nodes_cache=nodes_cache, + parent_map=parent_map, + metric_node=revenue_node, + ) + + # Should work the same as non-cache path + assert len(components) == 1 + assert components[0].aggregation == "SUM" + assert components[0].expression == "amount" + + +@pytest.mark.asyncio +async def test_extract_with_cache_derived_metric( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test cache-based extraction for derived metrics. + """ + session = clean_session + # Create base metrics + revenue_node, revenue_rev = await create_base_metric( + "default.revenue", + "SELECT SUM(amount) FROM default.orders_source", + ) + orders_node, orders_rev = await create_base_metric( + "default.orders", + "SELECT COUNT(*) FROM default.orders_source", + ) + + # Create derived metric + aov_node, aov_rev = await create_derived_metric( + "default.aov", + "SELECT default.revenue / NULLIF(default.orders, 0)", + [revenue_node, orders_node], + ) + + # Set current revisions + revenue_node.current = revenue_rev + orders_node.current = orders_rev + aov_node.current = aov_rev + + # Build cache + nodes_cache = { + "default.revenue": revenue_node, + "default.orders": orders_node, + "default.aov": aov_node, + } + parent_map: dict[str, list[str]] = { + "default.revenue": [], # Base metric + "default.orders": [], # Base metric + "default.aov": ["default.revenue", "default.orders"], # Derived + } + + extractor = MetricComponentExtractor(aov_rev.id) + components, derived_ast = await extractor.extract( + session, + nodes_cache=nodes_cache, + parent_map=parent_map, + metric_node=aov_node, + ) + + # Should have components from both base metrics + assert len(components) == 2 + agg_types = {c.aggregation for c in components} + assert agg_types == {"SUM", "COUNT"} + + +@pytest.mark.asyncio +async def test_extract_with_cache_nested_derived_metric( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test cache-based extraction for nested derived metrics (the full path used by build_v3). + """ + session = clean_session + # L0: Base metrics + revenue_node, revenue_rev = await create_base_metric( + "default.revenue", + "SELECT SUM(amount) FROM default.orders_source", + ) + orders_node, orders_rev = await create_base_metric( + "default.orders", + "SELECT COUNT(*) FROM default.orders_source", + ) + + # L1: AOV (derived from both base metrics) + aov_node, aov_rev = await create_derived_metric( + "default.aov", + "SELECT default.revenue / NULLIF(default.orders, 0)", + [revenue_node, orders_node], + ) + + # L2: AOV Growth Index (nested derived from aov) + _, aov_growth_rev = await create_derived_metric( + "default.aov_growth_index", + "SELECT default.aov * 100 / 50", + [aov_node], + ) + + # Set current revisions + revenue_node.current = revenue_rev + orders_node.current = orders_rev + aov_node.current = aov_rev + + # Build cache (this is how build_v3 does it) + nodes_cache = { + "default.revenue": revenue_node, + "default.orders": orders_node, + "default.aov": aov_node, + } + parent_map: dict[str, list[str]] = { + "default.revenue": [], + "default.orders": [], + "default.aov": ["default.revenue", "default.orders"], + "default.aov_growth_index": ["default.aov"], + } + + # Note: aov_growth_index node is not in cache, but its parent (aov) is. + # This simulates how build_v3 works - it loads needed nodes. + aov_growth_node = Node( + name="default.aov_growth_index", + type=NodeType.METRIC, + current_version="v1.0", + ) + aov_growth_node.current = aov_growth_rev + nodes_cache["default.aov_growth_index"] = aov_growth_node + + extractor = MetricComponentExtractor(aov_growth_rev.id) + components, derived_ast = await extractor.extract( + session, + nodes_cache=nodes_cache, + parent_map=parent_map, + metric_node=aov_growth_node, + ) + derived_sql = str(derived_ast) + + # Should decompose all the way to base components + assert len(components) == 2 + agg_types = {c.aggregation for c in components} + assert agg_types == {"SUM", "COUNT"} + + # Should not contain any intermediate metric references + assert "default.revenue" not in derived_sql + assert "default.orders" not in derived_sql + assert "default.aov" not in derived_sql + + +@pytest.mark.asyncio +async def test_extract_nested_derived_with_avg( + clean_session: AsyncSession, + create_base_metric, + create_derived_metric, +): + """ + Test nested derived metric where base metric uses AVG (multi-component). + + AVG decomposes to SUM and COUNT components. The nested derived should + collect both components through the intermediate derived metric. + """ + session = clean_session + # Base metric using AVG (decomposes to SUM + COUNT) + avg_price_node, _ = await create_base_metric( + "default.avg_price", + "SELECT AVG(price) FROM default.products", + ) + + # Derived metric referencing AVG metric + price_index_node, _ = await create_derived_metric( + "default.price_index", + "SELECT default.avg_price * 100", + [avg_price_node], + ) + + # Nested derived + _, adjusted_index_rev = await create_derived_metric( + "default.adjusted_price_index", + "SELECT default.price_index / 1.1", + [price_index_node], + ) + + extractor = MetricComponentExtractor(adjusted_index_rev.id) + components, derived_ast = await extractor.extract(session) + derived_sql = str(derived_ast) + + # Should have both SUM and COUNT components from AVG decomposition + assert len(components) == 2 + agg_types = {c.aggregation for c in components} + assert agg_types == {"SUM", "COUNT"} + + # Expressions should be the same (both from price) + expressions = {c.expression for c in components} + assert expressions == {"price"} + + # Derived SQL should contain the AVG combiner (SUM/COUNT pattern) + assert "SUM(" in derived_sql + assert "/" in derived_sql # Division from AVG decomposition diff --git a/datajunction-server/tests/sql/derived_metrics_test.py b/datajunction-server/tests/sql/derived_metrics_test.py new file mode 100644 index 000000000..91b1c0c75 --- /dev/null +++ b/datajunction-server/tests/sql/derived_metrics_test.py @@ -0,0 +1,809 @@ +""" +Tests for derived metrics functionality. +Derived metrics are metrics that reference other metrics. +""" + +from typing import Any, Callable, Coroutine, List, Optional +from unittest.mock import AsyncMock, MagicMock + +import pytest +from httpx import AsyncClient +from sqlalchemy.ext.asyncio import AsyncSession + +import datajunction_server.sql.parsing.ast as ast_module +from datajunction_server.database.column import Column as DBColumn +from datajunction_server.database.node import Node, NodeRevision +from datajunction_server.database.user import User +from datajunction_server.errors import ( + DJError, + DJErrorException, + DJException, + ErrorCode, +) +from datajunction_server.models.node_type import NodeType +from datajunction_server.sql.parsing.ast import Column, CompileContext, Query, Table +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing.types import IntegerType, StringType + + +class TestDerivedMetricHelpers: + """Test helper functions for derived metrics.""" + + def test_is_derived_metric_property_false_for_regular_metric(self): + """Test that is_derived_metric returns False for a regular metric.""" + # Create mock parent (transform node) + parent = Node(name="default.transform", type=NodeType.TRANSFORM) + + # Create metric with transform parent + metric_node = Node(name="default.metric", type=NodeType.METRIC) + metric_rev = NodeRevision( + node=metric_node, + name="default.metric", + type=NodeType.METRIC, + version="1", + query="SELECT SUM(amount) FROM default.transform", + parents=[parent], + ) + + assert metric_rev.is_derived_metric is False + assert metric_rev.metric_parents == [] + assert metric_rev.non_metric_parents == [parent] + + def test_is_derived_metric_property_true_for_derived_metric(self): + """Test that is_derived_metric returns True when parent is a metric.""" + # Create base metric + base_metric = Node(name="default.revenue", type=NodeType.METRIC) + + # Create derived metric with metric parent (no FROM clause) + derived_node = Node(name="default.wow_revenue", type=NodeType.METRIC) + derived_rev = NodeRevision( + node=derived_node, + name="default.wow_revenue", + type=NodeType.METRIC, + version="1", + query="SELECT LAG(default.revenue, 1) OVER (ORDER BY week)", + parents=[base_metric], + ) + + assert derived_rev.is_derived_metric is True + assert derived_rev.metric_parents == [base_metric] + assert derived_rev.non_metric_parents == [] + + def test_is_derived_metric_with_mixed_parents(self): + """Test is_derived_metric with both metric and non-metric parents.""" + # Create transform and metric parents + transform = Node(name="default.transform", type=NodeType.TRANSFORM) + base_metric = Node(name="default.revenue", type=NodeType.METRIC) + + # Create metric with mixed parents + metric_node = Node(name="default.mixed", type=NodeType.METRIC) + metric_rev = NodeRevision( + node=metric_node, + name="default.mixed", + type=NodeType.METRIC, + version="1", + query="SELECT SUM(amount) + default.revenue FROM default.transform", + parents=[transform, base_metric], + ) + + assert metric_rev.is_derived_metric is True + assert metric_rev.metric_parents == [base_metric] + assert metric_rev.non_metric_parents == [transform] + + def test_is_derived_metric_false_for_non_metric_nodes(self): + """Test that is_derived_metric is False for non-metric node types.""" + transform_node = Node(name="default.transform", type=NodeType.TRANSFORM) + transform_rev = NodeRevision( + node=transform_node, + name="default.transform", + type=NodeType.TRANSFORM, + version="1", + query="SELECT * FROM source", + parents=[], + ) + + assert transform_rev.is_derived_metric is False + + +class TestExtractDependenciesForDerivedMetrics: + """ + Tests to verify that extract_dependencies correctly finds metric references + in derived metric queries (which have no FROM clause). + """ + + @pytest.mark.asyncio + async def test_extract_dependencies_finds_table_refs_in_base_metric(self): + """ + Base metrics have a FROM clause, so extract_dependencies should find Table refs. + """ + # Base metric query with FROM clause + query = parse("SELECT SUM(amount) FROM default.orders") + + # Find all Table nodes + tables = list(query.find_all(Table)) + + assert len(tables) == 1 + assert tables[0].identifier(quotes=False) == "default.orders" + + @pytest.mark.asyncio + async def test_extract_dependencies_finds_column_refs_in_derived_metric(self): + """ + Derived metrics have no FROM clause - metric references are Column nodes. + extract_dependencies should find these Column references. + """ + # Derived metric query - NO FROM clause, metrics are column references + query = parse("SELECT default.metric_a / default.metric_b") + + # Mock session and context + mock_session = AsyncMock() + mock_context = CompileContext(session=mock_session, exception=DJException()) + + # Mock get_dj_node to return mock nodes + mock_metric_a = MagicMock() + mock_metric_a.name = "default.metric_a" + mock_metric_b = MagicMock() + mock_metric_b.name = "default.metric_b" + + # Patch get_dj_node to return our mock nodes + original_get_dj_node = ast_module.get_dj_node + + async def mock_get_dj_node(session, name, types): + if name == "default.metric_a": + return mock_metric_a + elif name == "default.metric_b": + return mock_metric_b + return None + + ast_module.get_dj_node = mock_get_dj_node + + try: + # Call extract_dependencies + deps, danglers = await query.extract_dependencies(mock_context) + + # Should find both metric references + dep_names = [d.name for d in deps.keys()] + assert "default.metric_a" in dep_names + assert "default.metric_b" in dep_names + assert len(danglers) == 0 + finally: + # Restore original function + ast_module.get_dj_node = original_get_dj_node + + @pytest.mark.asyncio + async def test_extract_dependencies_handles_unknown_refs_in_derived_metric(self): + """ + For derived metrics with unknown references, they should appear in danglers. + """ + # Derived metric query with unknown references + query = parse("SELECT unknown.metric_x / unknown.metric_y") + + # Mock session and context + mock_session = AsyncMock() + mock_context = CompileContext(session=mock_session, exception=DJException()) + + # Patch get_dj_node to raise DJErrorException (node not found) + original_get_dj_node = ast_module.get_dj_node + + async def mock_get_dj_node(session, name, types): + # Simulate node not found - raises exception like the real function + raise DJErrorException( + DJError(code=ErrorCode.UNKNOWN_NODE, message=f"Node {name} not found"), + ) + + ast_module.get_dj_node = mock_get_dj_node + + try: + # Call extract_dependencies + deps, danglers = await query.extract_dependencies(mock_context) + + # Should have no deps but unknown refs in danglers + assert len(deps) == 0 + assert "unknown.metric_x" in danglers + assert "unknown.metric_y" in danglers + finally: + # Restore original function + ast_module.get_dj_node = original_get_dj_node + + @pytest.mark.asyncio + async def test_get_parent_query_finds_query_for_column(self): + """ + Test that _get_parent_query correctly finds the parent Query node. + """ + # Derived metric query - no FROM + query = parse("SELECT default.metric_a / default.metric_b") + + # Verify no FROM clause + assert query.select.from_ is None + + # Find columns and check parent traversal + columns = list(query.find_all(Column)) + assert len(columns) >= 2 # At least metric_a and metric_b + + for col in columns: + if col.namespace: + # Check _get_parent_query works + parent_query = col._get_parent_query() + assert parent_query is not None, ( + f"Column {col} should have parent Query" + ) + assert isinstance(parent_query, Query) + assert parent_query.select.from_ is None + + @pytest.mark.asyncio + async def test_column_compile_resolves_metric_reference_type(self): + """ + When a Column references a metric (has namespace, no table source), + Column.compile should resolve the metric and get its output type. + """ + # Derived metric query + query = parse("SELECT default.metric_a + default.metric_b") + + # Mock session and context + mock_session = AsyncMock() + mock_context = CompileContext(session=mock_session, exception=DJException()) + + # Mock metric nodes with columns that have types + mock_col_a = MagicMock() + mock_col_a.type = IntegerType() + mock_metric_a = MagicMock() + mock_metric_a.columns = [mock_col_a] + + mock_col_b = MagicMock() + mock_col_b.type = IntegerType() + mock_metric_b = MagicMock() + mock_metric_b.columns = [mock_col_b] + + # Patch get_dj_node + original_get_dj_node = ast_module.get_dj_node + + async def mock_get_dj_node(session, name, types): + if name == "default.metric_a": + return mock_metric_a + elif name == "default.metric_b": + return mock_metric_b + return None + + ast_module.get_dj_node = mock_get_dj_node + + try: + # Compile the query + await query.compile(mock_context) + + # Find the columns in the query + columns = list(query.find_all(Column)) + + # Each column should have been compiled and have a type + for col in columns: + if col.namespace: + assert col.is_compiled() + assert col._type is not None + assert isinstance(col._type, IntegerType) + finally: + ast_module.get_dj_node = original_get_dj_node + + +@pytest.mark.asyncio +class TestColumnCompileWithRealNodes: + """ + Tests for Column.compile metric and dimension resolution using real database objects. + + These tests create actual Node/NodeRevision objects in the database and test + the Column.compile code path that resolves metric references and dimension + attributes in derived metric queries. + """ + + @pytest.fixture + async def column_compile_test_graph( + self, + session: AsyncSession, + current_user: User, + ): + """ + Creates a test graph with metrics, dimensions, and source nodes for testing + Column.compile's metric and dimension reference resolution. + + Graph structure: + - coltest.source (SOURCE) with columns: id, amount, customer_id + - coltest.customer (DIMENSION) with columns: id, name, email + - coltest.revenue (METRIC) -> parent: coltest.source + - coltest.orders (METRIC) -> parent: coltest.source + """ + # Create source node + source = Node( + name="coltest.source", + type=NodeType.SOURCE, + current_version="1", + created_by_id=current_user.id, + ) + source_rev = NodeRevision( + node=source, + name=source.name, + type=source.type, + version="1", + display_name="Source", + created_by_id=current_user.id, + columns=[ + DBColumn(name="id", type=IntegerType(), order=0), + DBColumn(name="amount", type=IntegerType(), order=1), + DBColumn(name="customer_id", type=IntegerType(), order=2), + ], + ) + source.current = source_rev + + # Create dimension node + customer_dim = Node( + name="coltest.customer", + type=NodeType.DIMENSION, + current_version="1", + created_by_id=current_user.id, + ) + customer_dim_rev = NodeRevision( + node=customer_dim, + name=customer_dim.name, + type=customer_dim.type, + version="1", + display_name="Customer", + created_by_id=current_user.id, + columns=[ + DBColumn(name="id", type=IntegerType(), order=0), + DBColumn(name="name", type=StringType(), order=1), + DBColumn(name="email", type=StringType(), order=2), + ], + ) + customer_dim.current = customer_dim_rev + + session.add_all([source, source_rev, customer_dim, customer_dim_rev]) + await session.flush() + + # Create base metric: revenue + revenue_metric = Node( + name="coltest.revenue", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + revenue_metric_rev = NodeRevision( + node=revenue_metric, + name=revenue_metric.name, + type=revenue_metric.type, + version="1", + display_name="Revenue", + query="SELECT SUM(amount) FROM coltest.source", + parents=[source], + created_by_id=current_user.id, + columns=[DBColumn(name="coltest_DOT_revenue", type=IntegerType(), order=0)], + ) + revenue_metric.current = revenue_metric_rev + + # Create base metric: orders + orders_metric = Node( + name="coltest.orders", + type=NodeType.METRIC, + current_version="1", + created_by_id=current_user.id, + ) + orders_metric_rev = NodeRevision( + node=orders_metric, + name=orders_metric.name, + type=orders_metric.type, + version="1", + display_name="Orders", + query="SELECT COUNT(*) FROM coltest.source", + parents=[source], + created_by_id=current_user.id, + columns=[DBColumn(name="coltest_DOT_orders", type=IntegerType(), order=0)], + ) + orders_metric.current = orders_metric_rev + + session.add_all( + [ + revenue_metric, + revenue_metric_rev, + orders_metric, + orders_metric_rev, + ], + ) + await session.flush() + + return { + "source": source, + "customer_dim": customer_dim, + "revenue_metric": revenue_metric, + "orders_metric": orders_metric, + } + + @pytest.mark.asyncio + async def test_column_compile_resolves_metric_reference( + self, + session: AsyncSession, + column_compile_test_graph, + ): + """ + Test that Column.compile resolves a metric reference (coltest.revenue) + and gets its output type. + """ + # Parse a derived metric query that references base metrics + query = parse("SELECT coltest.revenue + coltest.orders") + ctx = CompileContext(session=session, exception=DJException()) + + await query.compile(ctx) + + # Find columns with namespace (metric references) + columns = [c for c in query.find_all(Column) if c.namespace] + assert len(columns) == 2 + + # Both should be compiled with IntegerType + for col in columns: + assert col.is_compiled(), f"Column {col} should be compiled" + assert isinstance(col._type, IntegerType), ( + f"Column {col} should have IntegerType" + ) + + @pytest.mark.asyncio + async def test_column_compile_resolves_dimension_attribute( + self, + session: AsyncSession, + column_compile_test_graph, + ): + """ + Test that Column.compile resolves a dimension attribute reference + (coltest.customer.name) and gets the column's type. + """ + # Parse a query referencing a dimension attribute (no FROM clause) + query = parse("SELECT coltest.customer.name") + ctx = CompileContext(session=session, exception=DJException()) + + await query.compile(ctx) + + # Find the column with namespace + columns = [c for c in query.find_all(Column) if c.namespace] + assert len(columns) == 1 + + col = columns[0] + assert col.is_compiled() + assert isinstance(col._type, StringType) + + @pytest.mark.asyncio + async def test_column_compile_metric_ratio_expression( + self, + session: AsyncSession, + column_compile_test_graph, + ): + """ + Test that Column.compile handles a derived metric expression with division. + """ + # Parse a ratio metric query + query = parse("SELECT coltest.revenue / coltest.orders") + ctx = CompileContext(session=session, exception=DJException()) + + await query.compile(ctx) + + # Both metric references should be resolved + columns = [c for c in query.find_all(Column) if c.namespace] + assert len(columns) == 2 + for col in columns: + assert col.is_compiled() + + @pytest.mark.asyncio + async def test_column_compile_nonexistent_metric_errors( + self, + session: AsyncSession, + column_compile_test_graph, + ): + """ + Test that Column.compile adds an error when referencing a non-existent metric. + """ + # Parse a query referencing a metric that doesn't exist + query = parse("SELECT coltest.nonexistent_metric") + ctx = CompileContext(session=session, exception=DJException()) + + await query.compile(ctx) + + # Should have an error + assert len(ctx.exception.errors) > 0 + error_messages = [e.message for e in ctx.exception.errors] + assert any("does not exist" in msg for msg in error_messages) + + @pytest.mark.asyncio + async def test_column_compile_nonexistent_dimension_column_errors( + self, + session: AsyncSession, + column_compile_test_graph, + ): + """ + Test that Column.compile adds an error when referencing a non-existent + column on an existing dimension. + """ + # Parse a query referencing a column that doesn't exist on the dimension + query = parse("SELECT coltest.customer.nonexistent_column") + ctx = CompileContext(session=session, exception=DJException()) + + await query.compile(ctx) + + # Should have an error + assert len(ctx.exception.errors) > 0 + error_messages = [e.message for e in ctx.exception.errors] + assert any("does not exist" in msg for msg in error_messages) + + +@pytest.mark.integration +class TestDerivedMetricsIntegration: + """ + Integration tests for derived metrics using the canonical DERIVED_METRICS example set. + + This test class uses a self-contained schema with: + - orders_source (fact) -> dimensions: date, customer + - events_source (fact) -> dimensions: date, customer + - inventory_source (fact) -> dimensions: warehouse (NO overlap with orders/events) + + Patterns tested: + 1. Same-parent ratio: revenue_per_order (revenue / orders) - both from orders_source + 2. Cross-fact ratio with shared dims: revenue_per_page_view (revenue / page_views) + 3. Period-over-period: wow_revenue_change, mom_revenue_change (LAG on base metric) + 4. Failure case: cross-fact with NO shared dimensions (should fail validation) + """ + + @pytest.mark.asyncio + async def test_create_same_parent_ratio_metric( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """Test creating a derived metric that is a ratio of two base metrics from same parent.""" + client = await client_example_loader(["DERIVED_METRICS"]) + + # Verify the derived metric was created + response = await client.get("/nodes/default.dm_revenue_per_order") + assert response.status_code == 200 + data = response.json() + assert data["name"] == "default.dm_revenue_per_order" + assert data["type"] == "metric" + + # Verify it references the base metrics as parents + parents = [p["name"] for p in data["parents"]] + assert "default.dm_revenue" in parents + assert "default.dm_orders" in parents + + @pytest.mark.asyncio + async def test_create_cross_fact_ratio_metric_with_shared_dimensions( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """Test creating a derived metric from metrics in different fact tables with shared dims.""" + client = await client_example_loader(["DERIVED_METRICS"]) + + # Verify the cross-fact metric was created + response = await client.get("/nodes/default.dm_revenue_per_page_view") + assert response.status_code == 200 + data = response.json() + assert data["name"] == "default.dm_revenue_per_page_view" + assert data["type"] == "metric" + + # Verify it references metrics from different parents + parents = [p["name"] for p in data["parents"]] + assert "default.dm_revenue" in parents + assert "default.dm_page_views" in parents + + @pytest.mark.asyncio + async def test_create_period_over_period_wow_metric( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """Test creating a week-over-week derived metric using LAG window function.""" + client = await client_example_loader(["DERIVED_METRICS"]) + + # Verify the WoW metric was created + response = await client.get("/nodes/default.dm_wow_revenue_change") + assert response.status_code == 200 + data = response.json() + assert data["name"] == "default.dm_wow_revenue_change" + assert data["type"] == "metric" + + # Verify it has the base metric as parent + parents = [p["name"] for p in data["parents"]] + assert "default.dm_revenue" in parents + + @pytest.mark.asyncio + async def test_create_period_over_period_mom_metric( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """Test creating a month-over-month derived metric using LAG window function.""" + client = await client_example_loader(["DERIVED_METRICS"]) + + # Verify the MoM metric was created + response = await client.get("/nodes/default.dm_mom_revenue_change") + assert response.status_code == 200 + data = response.json() + assert data["name"] == "default.dm_mom_revenue_change" + assert data["type"] == "metric" + + # Verify it has the base metric as parent + parents = [p["name"] for p in data["parents"]] + assert "default.dm_revenue" in parents + + @pytest.mark.asyncio + async def test_derived_metric_upstream_nodes( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """Test that derived metrics have correct upstream lineage.""" + client = await client_example_loader(["DERIVED_METRICS"]) + + # Get upstream nodes for the derived metric + response = await client.get("/nodes/default.dm_revenue_per_order/upstream/") + assert response.status_code == 200 + upstream = response.json() + upstream_names = [n["name"] for n in upstream] + + # Should include both base metrics + assert "default.dm_revenue" in upstream_names + assert "default.dm_orders" in upstream_names + # Should also include the ultimate parent (orders_source) + assert "default.orders_source" in upstream_names + + @pytest.mark.asyncio + async def test_derived_metric_downstream_from_base( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """Test that base metrics show derived metrics as downstream.""" + client = await client_example_loader(["DERIVED_METRICS"]) + + # Get downstream nodes for a base metric + response = await client.get("/nodes/default.dm_revenue/downstream/") + assert response.status_code == 200 + downstream = response.json() + downstream_names = [n["name"] for n in downstream] + + # Should include derived metrics that reference it + assert "default.dm_revenue_per_order" in downstream_names + assert "default.dm_revenue_per_page_view" in downstream_names + assert "default.dm_wow_revenue_change" in downstream_names + assert "default.dm_mom_revenue_change" in downstream_names + + @pytest.mark.asyncio + async def test_same_parent_derived_metric_dimensions( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """Test that derived metrics from same parent have same dimensions as base metrics.""" + client = await client_example_loader(["DERIVED_METRICS"]) + + # Get dimensions for base metric (revenue from orders_source) + response = await client.get("/nodes/default.dm_revenue/dimensions/") + assert response.status_code == 200 + base_dims = {d["name"] for d in response.json()} + + # Get dimensions for derived metric (ratio of two metrics from same parent) + response = await client.get("/nodes/default.dm_revenue_per_order/dimensions/") + assert response.status_code == 200 + derived_dims = {d["name"] for d in response.json()} + + # Derived metric from same parent should have same dimensions + # (intersection of identical sets = the same set) + assert derived_dims == base_dims + + @pytest.mark.asyncio + async def test_cross_fact_derived_metric_dimensions_intersection( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """Test that cross-fact derived metrics have intersection of parent dimensions.""" + client = await client_example_loader(["DERIVED_METRICS"]) + + # Get dimensions for orders-based metric (revenue) + response = await client.get("/nodes/default.dm_revenue/dimensions/") + assert response.status_code == 200 + orders_dims = {d["name"] for d in response.json()} + + # Get dimensions for events-based metric (page_views) + response = await client.get("/nodes/default.dm_page_views/dimensions/") + assert response.status_code == 200 + events_dims = {d["name"] for d in response.json()} + + # Get dimensions for cross-fact derived metric (revenue_per_page_view) + response = await client.get( + "/nodes/default.dm_revenue_per_page_view/dimensions/", + ) + assert response.status_code == 200 + derived_dims = {d["name"] for d in response.json()} + + # Cross-fact derived metric should have intersection of dimensions + # Both orders and events share date and customer dimensions + expected_intersection = orders_dims & events_dims + assert derived_dims == expected_intersection + + # Verify the shared dimensions are present + assert len(derived_dims) > 0, "Should have at least some shared dimensions" + + @pytest.mark.asyncio + async def test_cross_fact_no_shared_dimensions_fails( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """ + Test that creating a derived metric from two fact tables with NO shared + dimensions fails validation. + + orders_source dims: date, customer + inventory_source dims: warehouse (no overlap!) + """ + client = await client_example_loader(["DERIVED_METRICS"]) + + # Try to create a derived metric combining revenue (orders) and total_inventory (inventory) + # These have NO shared dimensions - orders has date/customer, inventory has warehouse + response = await client.post( + "/nodes/metric/", + json={ + "name": "default.invalid_cross_fact_metric", + "description": "This should fail - no shared dimensions", + "query": "SELECT default.dm_revenue / NULLIF(default.dm_total_inventory, 0)", + "mode": "published", + }, + ) + + # This should fail because there are no shared dimensions + # between orders_source (date, customer) and inventory_source (warehouse) + assert response.status_code in (400, 422), ( + f"Expected failure for cross-fact metric with no shared dims, " + f"got {response.status_code}: {response.json()}" + ) + + @pytest.mark.asyncio + async def test_nested_derived_metric_succeeds( + self, + client_example_loader: Callable[ + [Optional[List[str]]], + Coroutine[Any, Any, AsyncClient], + ], + ): + """ + Test that creating a derived metric that references another derived metric succeeds. + Multi-level derived metrics are now supported - derived metrics can reference other + derived metrics, and SQL generation will recursively expand them to base metrics. + """ + client = await client_example_loader(["DERIVED_METRICS"]) + + # Create a derived metric that references revenue_per_order (which is derived) + response = await client.post( + "/nodes/metric/", + json={ + "name": "default.nested_derived_metric", + "description": "Nested derived metric - references another derived metric", + "query": "SELECT default.dm_revenue_per_order * 2", + "mode": "published", + }, + ) + + # This should succeed - nested derived metrics are now supported + assert response.status_code in (200, 201), ( + f"Expected success for nested derived metric, " + f"got {response.status_code}: {response.json()}" + ) diff --git a/datajunction-server/tests/sql/functions_test.py b/datajunction-server/tests/sql/functions_test.py new file mode 100644 index 000000000..caea10b2f --- /dev/null +++ b/datajunction-server/tests/sql/functions_test.py @@ -0,0 +1,3788 @@ +""" +Tests for ``datajunction_server.sql.functions``. +""" + +import pytest +from sqlalchemy.ext.asyncio import AsyncSession + +import datajunction_server.sql.functions as F +import datajunction_server.sql.parsing.types as ct +from datajunction_server.errors import DJException, DJNotImplementedException +from datajunction_server.models.engine import Dialect +from datajunction_server.sql.functions import ( + Avg, + Coalesce, + Count, + Max, + Min, + Now, + Sum, + ToDate, + function_registry, +) +from datajunction_server.sql.parsing import ast +from datajunction_server.sql.parsing.backends.antlr4 import parse +from datajunction_server.sql.parsing.backends.exceptions import DJParseException +from datajunction_server.sql.parsing.types import ( + BigIntType, + BooleanType, + DateType, + DecimalType, + DoubleType, + FloatType, + IntegerType, + NullType, + StringType, + WildcardType, +) + + +@pytest.mark.asyncio +async def test_missing_functions() -> None: + """ + Test missing functions. + """ + with pytest.raises(DJNotImplementedException) as excinfo: + function_registry["INVALID_FUNCTION"] + assert ( + str(excinfo.value) == "The function `INVALID_FUNCTION` hasn't been implemented " + "in DJ yet. You can file an issue at https://github.com/" + "DataJunction/dj/issues/new?title=Function+missing:+" + "INVALID_FUNCTION to request it to be added, or use the " + "documentation at https://github.com/DataJunction/dj/blob" + "/main/docs/functions.rst to implement it." + ) + + +@pytest.mark.asyncio +async def test_bad_combo_types() -> None: + """ + Tests dispatch raises on bad types + """ + with pytest.raises(TypeError) as exc: + Avg.infer_type(ast.Column(ast.Name("x"), _type=StringType())) + assert "got an invalid combination of types" in str(exc) + + +@pytest.mark.asyncio +async def test_abs(session: AsyncSession): + """ + Test the `abs` Spark function + """ + query = parse( + """ + select abs(-1) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + query = parse( + """ + select abs(-1.1) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + assert query.select.projection[0].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_acos(session: AsyncSession): + """ + Test the `acos` function + """ + query = parse( + """ + select acos(0.0) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_aggregate(session: AsyncSession): + """ + Test the `aggregate` Spark function + """ + query = parse( + """ + select + aggregate(items, '', (acc, x) -> (case + when acc = '' then element_at(split(x, '::'), 1) + when acc = 'a' then acc + else element_at(split(x, '::'), 1) end)) as item, + aggregate(items, '', (acc, x) -> (case + when acc = '' then element_at(split(x, '::'), 1) + when acc = 'a' then acc + else element_at(split(x, '::'), 1) end), acc -> acc) as item1 + from ( + select 1 as id, ARRAY('b', 'c', 'a', 'x', 'g', 'z') AS items + ) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_complex_nested_functions(session: AsyncSession): + """ + Test that the CAST(...) workaround works for complex nested lambda functions + """ + query = parse( + """ + SELECT + CAST( + AGGREGATE( + MAP_VALUES( + AGGREGATE( + COLLECT_LIST( + MAP( + x, + NAMED_STRUCT( + 'a1', + CASE + WHEN y = 'apples' + THEN z ELSE 0 + END, + 'b1', + COALESCE(y, 0) + ) + ) + ), + CAST(MAP() AS MAP>), + (acc, x) -> MAP_ZIP_WITH( + acc, x, + (k, v1, v2) -> NAMED_STRUCT( + 'z', + COALESCE(v1['z'], 0) + COALESCE(v2['z'], 0), + 'y', + COALESCE(v1['y'], 0) + COALESCE(v2['y'], 0) + + ) + ), + acc -> TRANSFORM_VALUES(acc, (_, v) -> v['z']/(20.0*v['y'])) + ) + ), + NAMED_STRUCT( + 'z1', + CAST(0 AS DOUBLE), + 'y1', + CAST(0 AS DOUBLE) + ), + (acc, x) -> NAMED_STRUCT('y1', acc['z1'] + x, 'y1', acc['y1'] + 1), + acc -> acc['y1']/acc['z1'] + ) AS STRING + ) AS etc +FROM ( + SELECT '124345' as x, + 'something' as y, + 29109 as z +) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_any_value(session: AsyncSession): + """ + Test the `any_value` function + """ + query = parse( + """select any_value(col) FROM (select (1), (2) AS col)""", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_approx_count_distinct(session: AsyncSession): + """ + Test the `approx_count_distinct` function + """ + query = parse( + """ + select + approx_count_distinct(col), + approx_count_distinct_ds_hll(col), + approx_count_distinct_ds_theta(col) + FROM (select (1), (2) AS col)""", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.LongType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + assert query.select.projection[1].type == ct.LongType() # type: ignore + assert query.select.projection[1].function().dialects == [Dialect.DRUID] # type: ignore + assert query.select.projection[2].type == ct.LongType() # type: ignore + assert query.select.projection[2].function().dialects == [Dialect.DRUID] # type: ignore + + +@pytest.mark.asyncio +async def test_approx_percentile(session: AsyncSession): + """ + Test the `approx_percentile` Spark function + """ + query_with_list = parse("SELECT approx_percentile(10.0, array(0.5, 0.4, 0.1), 100)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query_with_list.compile(ctx) + assert not exc.errors + assert query_with_list.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.FloatType(), + ) + + query_with_list = parse("SELECT approx_percentile(10.0, 0.5, 100)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query_with_list.compile(ctx) + assert not exc.errors + assert query_with_list.select.projection[0].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_array(session: AsyncSession): + """ + Test the `array` Spark function + """ + query = parse( + """ + SELECT array() FROM (select 1 as col) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.NullType()) # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + query = parse( + """ + SELECT array(1, 2, 3) FROM (select 1 as col) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_array_agg(session: AsyncSession): + """ + Test the `array_agg` Spark function + """ + query = parse( + """ + SELECT array_agg(col) FROM (select 1 as col) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + query = parse( + """ + SELECT array_agg(col) FROM (select 'foo' as col) + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + +@pytest.mark.asyncio +async def test_array_append(session: AsyncSession): + """ + Test the `array_append` Spark function + """ + query = parse("SELECT array_append(array('b', 'd', 'c', 'a'), 'd')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + query = parse("SELECT array_append(array(1, 2, 3, 4), 5)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + query = parse("SELECT array_append(array(true, false, true, true), false)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.BooleanType()) # type: ignore + + +@pytest.mark.asyncio +async def test_array_compact(session: AsyncSession): + """ + Test the `array_compact` Spark function + """ + query = parse( + 'SELECT array_compact(array(1, 2, 3, null)), array_compact(array("a", "b", "c"))', + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + assert query.select.projection[1].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + +@pytest.mark.asyncio +async def test_array_concat(session: AsyncSession): + """ + Test the `array_concat` Spark function + """ + query = parse( + 'SELECT array_concat(array("a", "b", "d"), array("a", "b", "c"))', + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + assert query.select.projection[0].function().dialects == [Dialect.DRUID] # type: ignore + + +@pytest.mark.asyncio +async def test_array_contains(session: AsyncSession): + """ + Test the `array_contains` Spark function + """ + query = parse("select array_contains(array(1, 2, 3), 2)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_array_distinct(session: AsyncSession): + """ + Test the `array_distinct` Spark function + """ + query = parse( + """ + SELECT array_distinct(array(1, 2, 3, 3)) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + query = parse( + """ + SELECT array_distinct(array('a', 'b', 'b', 'z')) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + +@pytest.mark.asyncio +async def test_array_except(session: AsyncSession): + """ + Test the `array_except` Spark function + """ + query = parse( + """ + SELECT array_except(array(1, 2, 3), array(1, 3, 5)) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + query = parse( + """ + SELECT array_except(array('a', 'b', 'b', 'z'), array('a', 'b')) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + +@pytest.mark.asyncio +async def test_array_intersect(session: AsyncSession): + """ + Test the `array_intersect` Spark function + """ + query = parse( + """ + SELECT array_intersect(array(1, 2, 3), array(1, 3, 5)) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + query = parse( + """ + SELECT array_intersect(array('a', 'b', 'b', 'z'), array('a', 'b')) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + +@pytest.mark.asyncio +async def test_array_join(session: AsyncSession): + """ + Test the `array_join` Spark function + """ + query = parse( + """ + SELECT array_join(array('hello', 'world'), ' ') + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.StringType() # type: ignore + + query = parse( + """ + SELECT array_join(array('hello', null ,'world'), ' ', ',') + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_array_max(session: AsyncSession): + """ + Test the `array_max` Spark function + """ + query = parse( + """ + SELECT array_max(array(1, 20, null, 3)) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_array_min(session: AsyncSession): + """ + Test the `array_min` Spark function + """ + query = parse( + """ + SELECT array_min(array(1.0, 202.2, null, 3.333)) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_array_offset_ordinal(session: AsyncSession): + """ + Test the `array_offset` and `array_ordinal` functions + """ + query = parse( + """ + SELECT + array_offset(array(1.0, 202.2, null, 3.333), 1), + array_ordinal(array(1.0, 202.2, null, 3.333), 1) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[0].function().dialects == [Dialect.DRUID] # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + assert query.select.projection[1].function().dialects == [Dialect.DRUID] # type: ignore + + +@pytest.mark.asyncio +async def test_array_position(session: AsyncSession): + """ + Test the `array_position` function + """ + query = parse( + """ + SELECT array_position(array(1.0, 202.2, null, 3.333), 1.0) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.LongType() # type: ignore + + +@pytest.mark.asyncio +async def test_array_remove(session: AsyncSession): + """ + Test the `array_remove` function + """ + query = parse( + """ + SELECT array_remove(array(1.0, 202.2, null, 3.333), 1.0) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.FloatType()) # type: ignore + + +@pytest.mark.asyncio +async def test_array_repeat(session: AsyncSession): + """ + Test the `array_repeat` function + """ + query = parse( + """ + SELECT array_repeat('abc', 10), array_repeat(100, 10), array_repeat(1.23, 10) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + assert query.select.projection[1].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + assert query.select.projection[2].type == ct.ListType(element_type=ct.FloatType()) # type: ignore + + +@pytest.mark.asyncio +async def test_array_size(session: AsyncSession): + """ + Test the `array_size` and `array_length` functions + """ + query = parse( + """ + SELECT + array_size(array('abc', 'd', 'e', 'f')), + array_length(array('abc', 'd', 'e', 'f')) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.LongType() # type: ignore + assert query.select.projection[0].function().dialects == [Dialect.SPARK] # type: ignore + assert query.select.projection[1].type == ct.LongType() # type: ignore + assert query.select.projection[1].function().dialects == [Dialect.DRUID] # type: ignore + + +@pytest.mark.asyncio +async def test_array_sort(session: AsyncSession): + """ + Test the `array_sort` function + """ + query = parse( + """ + SELECT + array_sort(array('b', 'd', null, 'c', 'a')) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_array_union(session: AsyncSession): + """ + Test the `array_union` function + """ + query = parse( + """ + SELECT array_union(array('b', 'd', null), array('c', 'a')) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_array_overlap(session: AsyncSession): + """ + Test the `array_overlap` function + """ + query = parse( + """ + SELECT arrays_overlap(array(1, 2, 3), array(3, 4, 5)) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_avg() -> None: + """ + Test ``avg`` function. + """ + assert ( + Avg.infer_type(ast.Column(ast.Name("x"), _type=IntegerType())) == DoubleType() + ) + assert Avg.infer_type(ast.Column(ast.Name("x"), _type=FloatType())) == DoubleType() + assert Avg.dialects == [Dialect.SPARK, Dialect.DRUID] + + +@pytest.mark.asyncio +async def test_cardinality(session: AsyncSession): + """ + Test the `cardinality` Spark function + """ + query_with_list = parse("SELECT cardinality(array('b', 'd', 'c', 'a'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query_with_list.compile(ctx) + assert not exc.errors + assert query_with_list.select.projection[0].type == ct.IntegerType() # type: ignore + + query_with_map = parse("SELECT cardinality(map('a', 1, 'b', 2))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query_with_map.compile(ctx) + assert not exc.errors + assert query_with_map.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_cbrt_func(session: AsyncSession): + """ + Test the `cbrt` function + """ + query = parse("SELECT cbrt(27), cbrt(64.0)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == FloatType() # type: ignore + assert query.select.projection[1].type == FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_char_func(session: AsyncSession): + """ + Test the `char` function + """ + query = parse("SELECT char(65), char(97)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == StringType() # type: ignore + assert query.select.projection[1].type == StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_char_length_func(session: AsyncSession): + """ + Test the `char_length` function + """ + query = parse("SELECT char_length('hello'), char_length('world')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == IntegerType() # type: ignore + assert query.select.projection[1].type == IntegerType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_character_length_func(session: AsyncSession): + """ + Test the `character_length` function + """ + query = parse("SELECT character_length('hello'), character_length('world')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == IntegerType() # type: ignore + assert query.select.projection[1].type == IntegerType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_chr_func(session: AsyncSession): + """ + Test the `chr` function + """ + query = parse("SELECT chr(65), chr(97)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == StringType() # type: ignore + assert query.select.projection[1].type == StringType() # type: ignore + + +@pytest.mark.parametrize( + "types, expected", + [ + ((ct.IntegerType(),), ct.BigIntType()), + ((ct.FloatType(),), ct.BigIntType()), + ((ct.DoubleType(),), ct.BigIntType()), + ((ct.TinyIntType(), ct.IntegerType()), ct.DecimalType(precision=3, scale=0)), + ((ct.SmallIntType(), ct.IntegerType()), ct.DecimalType(precision=5, scale=0)), + ((ct.IntegerType(), ct.IntegerType()), ct.DecimalType(precision=10, scale=0)), + ((ct.BigIntType(), ct.IntegerType()), ct.DecimalType(precision=20, scale=0)), + ((ct.DoubleType(), ct.IntegerType()), ct.DecimalType(precision=30, scale=0)), + ((ct.FloatType(), ct.IntegerType()), ct.DecimalType(precision=14, scale=0)), + ( + (ct.DecimalType(10, 2), ct.IntegerType()), + ct.DecimalType(precision=9, scale=0), + ), + ( + (ct.DecimalType(precision=9, scale=0),), + ct.DecimalType(precision=10, scale=0), + ), + ], +) +@pytest.mark.asyncio +async def test_ceil(types, expected) -> None: + """ + Test ``ceil`` function. + """ + if len(types) == 1: + assert F.Ceil.infer_type(ast.Column(ast.Name("x"), _type=types[0])) == expected + else: + assert ( + F.Ceil.infer_type( + *( + ast.Column(ast.Name("x"), _type=types[0]), + ast.Number(0, _type=types[1]), + ), + ) + == expected + ) + assert F.Ceil.dialects == [Dialect.SPARK, Dialect.DRUID] + + +@pytest.mark.asyncio +async def test_ceil_ceiling_funcs(session: AsyncSession): + """ + Test the `ceil` and `ceiling` functions + """ + query = parse( + "SELECT ceil(-0.1), ceil(5), ceil(3.1411, 3), ceil(3.1411, -3), " + "ceiling(-0.1), ceiling(5), ceiling(3.1411, 3), ceiling(3.1411, -3)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == BigIntType() # type: ignore + assert query.select.projection[1].type == BigIntType() # type: ignore + assert query.select.projection[2].type == DecimalType(precision=14, scale=3) # type: ignore + assert query.select.projection[3].type == DecimalType(precision=14, scale=0) # type: ignore + assert query.select.projection[4].type == BigIntType() # type: ignore + assert query.select.projection[5].type == BigIntType() # type: ignore + assert query.select.projection[6].type == DecimalType(precision=14, scale=3) # type: ignore + assert query.select.projection[7].type == DecimalType(precision=14, scale=0) # type: ignore + + +@pytest.mark.asyncio +async def test_coalesce_infer_type() -> None: + """ + Test type inference in the ``Coalesce`` function. + """ + assert ( + Coalesce.infer_type( + ast.Column(ast.Name("x"), _type=StringType()), + ast.Column(ast.Name("x"), _type=StringType()), + ast.Column(ast.Name("x"), _type=StringType()), + ) + == StringType() + ) + + assert ( + Coalesce.infer_type( + ast.Column(ast.Name("x"), _type=IntegerType()), + ast.Column(ast.Name("x"), _type=NullType()), + ast.Column(ast.Name("x"), _type=BigIntType()), + ) + == IntegerType() + ) + + assert ( + Coalesce.infer_type( + ast.Column(ast.Name("x"), _type=StringType()), + ast.Column(ast.Name("x"), _type=StringType()), + ast.Column(ast.Name("x"), _type=NullType()), + ) + == StringType() + ) + assert Coalesce.dialects == [Dialect.SPARK, Dialect.DRUID] + + +@pytest.mark.asyncio +async def test_concat_func(session: AsyncSession): + """ + Test the `concat` function + """ + query = parse( + "SELECT concat('hello', '+', 'world'), " + "concat(array(1, 2), array(3)), " + "concat(map(1, 'a'), map(2, 'b'))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.ListType(ct.IntegerType()) # type: ignore + assert query.select.projection[2].type == ct.MapType( # type: ignore + key_type=ct.IntegerType(), + value_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_concat_ws_func(session: AsyncSession): + """ + Test the `concat_ws` function + """ + query = parse( + "SELECT concat_ws(',', 'hello', 'world'), " + "concat_ws('-', 'spark', 'sql', 'function'), " + "concat_ws('-', array('spark', 'sql', 'function'))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == StringType() # type: ignore + assert query.select.projection[1].type == StringType() # type: ignore + assert query.select.projection[2].type == StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_contains_string(session: AsyncSession): + """ + Test the `contains_string` function + """ + query = parse( + "SELECT contains_string('hello', 'world')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[0].function().dialects == [Dialect.DRUID] # type: ignore + + +@pytest.mark.asyncio +async def test_collect_list(session: AsyncSession): + """ + Test the `collect_list` function + """ + query = parse("SELECT collect_list(col) FROM (SELECT (1), (2) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.IntegerType(), + ) + + +@pytest.mark.asyncio +async def test_collect_set(session: AsyncSession): + """ + Test the `collect_set` function + """ + query = parse("SELECT collect_set(col) FROM (SELECT (1), (2) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.IntegerType(), + ) + + +@pytest.mark.asyncio +async def test_contains_func(session: AsyncSession): + """ + Test the `contains` function + """ + query = parse( + "SELECT contains('hello world', 'world'), contains('hello world', 'spark')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[1].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_conv_func(session: AsyncSession): + """ + Test the `conv` function + """ + query = parse("SELECT conv('10', 10, 2), conv(15, 10, 16)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_convert_timezone_func(session: AsyncSession): + """ + Test the `convert_timezone` function + """ + query = parse( + "SELECT convert_timezone('PST', 'EST', cast('2023-07-30 12:34:56' as timestamp))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_corr_func(session: AsyncSession): + """ + Test the `corr` function + """ + query = parse("SELECT corr(2.0, 3.0), corr(5, 10)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_cos_func(session: AsyncSession): + """ + Test the `cos` function + """ + query = parse("SELECT cos(0), cos(3.1416)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_cosh_func(session: AsyncSession): + """ + Test the `cosh` function + """ + query = parse("SELECT cosh(0), cosh(1.0)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_cot_func(session: AsyncSession): + """ + Test the `cot` function + """ + query = parse("SELECT cot(1), cot(0.7854)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_count() -> None: + """ + Test ``Count`` function. + """ + assert ( + Count.infer_type(ast.Column(ast.Name("x"), _type=WildcardType())) + == BigIntType() + ) + assert Count.is_aggregation is True + assert Count.dialects == [Dialect.SPARK, Dialect.DRUID] + + +@pytest.mark.asyncio +async def test_count_if_func(session: AsyncSession): + """ + Test the `count_if` function + """ + query = parse("SELECT count_if(true), count_if(false)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_count_min_sketch(session: AsyncSession): + """ + Test the `count_min_sketch` function + """ + query = parse( + "SELECT count_min_sketch(col, 0.5, 0.5, 1) FROM (SELECT (1), (2), (1) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BinaryType() # type: ignore + + +@pytest.mark.asyncio +async def test_covar_pop_func(session: AsyncSession): + """ + Test the `covar_pop` function + """ + query = parse("SELECT covar_pop(1.0, 2.0), covar_pop(3, 4)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_covar_samp_func(session: AsyncSession): + """ + Test the `covar_samp` function + """ + query = parse("SELECT covar_samp(1.0, 2.0), covar_samp(3, 4)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_crc32_func(session: AsyncSession): + """ + Test the `crc32` function + """ + query = parse("SELECT crc32('hello'), crc32('world')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BigIntType() # type: ignore + assert query.select.projection[1].type == ct.BigIntType() # type: ignore + + +@pytest.mark.asyncio +async def test_csc_func(session: AsyncSession): + """ + Test the `csc` function + """ + query = parse("SELECT csc(1), csc(0.7854)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_cume_dist_func(session: AsyncSession): + """ + Test the `cume_dist` function + """ + query = parse("SELECT cume_dist(), cume_dist()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_curdate_func(session: AsyncSession): + """ + Test the `curdate` function + """ + query = parse("SELECT curdate(), curdate()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + assert query.select.projection[1].type == ct.DateType() # type: ignore + + +@pytest.mark.asyncio +async def test_current_catalog_func(session: AsyncSession): + """ + Test the `current_catalog` function + """ + query = parse("SELECT current_catalog(), current_catalog()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_current_database_func(session: AsyncSession): + """ + Test the `current_database` function + """ + query = parse("SELECT current_database(), current_database()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_current_schema_func(session: AsyncSession): + """ + Test the `current_schema` function + """ + query = parse("SELECT current_schema(), current_schema()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_current_timezone_current_user_funcs(session: AsyncSession): + """ + Test the `current_timezone` function + Test the `current_user` function + """ + query = parse("SELECT current_timezone(), current_user()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_date_func(session: AsyncSession): + """ + Test the `date` function + """ + query = parse( + "SELECT date('2023-07-30'), date(cast('2023-07-30 12:34:56' as timestamp))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + assert query.select.projection[1].type == ct.DateType() # type: ignore + + +@pytest.mark.asyncio +async def test_date_from_unix_date_func(session: AsyncSession): + """ + Test the `date_from_unix_date` function + """ + query = parse("SELECT date_from_unix_date(0), date_from_unix_date(18500)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + assert query.select.projection[1].type == ct.DateType() # type: ignore + + +@pytest.mark.asyncio +async def test_date_format(session: AsyncSession) -> None: + """ + Test ``date_format`` function. + """ + query_with_array = parse("SELECT date_format(NOW(), 'yyyyMMdd') as date_partition") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query_with_array.compile(ctx) + assert not exc.errors + assert query_with_array.select.projection[0].type == StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_date_part_func(session: AsyncSession): + """ + Test the `date_part` function + """ + query = parse( + "SELECT date_part('year', cast('2023-07-30' as date)), date_part('hour', cast('2023-07-30 12:34:56' as timestamp))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_dj_logical_timestamp(session: AsyncSession) -> None: + """ + Test ``DJ_LOGICAL_TIMESTAMP`` function. + """ + query_with_array = parse("SELECT dj_logical_timestamp() as date_partition") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query_with_array.compile(ctx) + assert not exc.errors + assert query_with_array.select.projection[0].type == StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_dayofmonth_func(session: AsyncSession): + """ + Test the `dayofmonth` function + """ + query = parse( + "SELECT dayofmonth(cast('2023-07-30' as date)), dayofmonth('2023-01-01')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_dayofweek_func(session: AsyncSession): + """ + Test the `dayofweek` function + """ + query = parse( + "SELECT dayofweek(cast('2023-07-30' as date)), dayofweek('2023-01-01')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_dayofyear_func(session: AsyncSession): + """ + Test the `dayofyear` function + """ + query = parse( + "SELECT dayofyear(cast('2023-07-30' as date)), dayofyear('2023-01-01')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_decimal_func(session: AsyncSession): + """ + Test the `decimal` function + """ + query = parse("SELECT decimal(123), decimal('456.78')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DecimalType(8, 6) # type: ignore + assert query.select.projection[1].type == ct.DecimalType(8, 6) # type: ignore + + +@pytest.mark.asyncio +async def test_decode_func(session: AsyncSession): + """ + Test the `decode` function + """ + query = parse("SELECT decode(unhex('4D7953514C'), 'UTF-8')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_degrees_func(session: AsyncSession): + """ + Test the `degrees` function + """ + query = parse("SELECT degrees(1), degrees(3.141592653589793)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_div(session: AsyncSession): + """ + Test the `div` function + """ + query = parse("SELECT div(1, 2)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.LongType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_double_func(session: AsyncSession): + """ + Test the `double` function + """ + query = parse("SELECT double('123.45'), double(67890)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DoubleType() # type: ignore + assert query.select.projection[1].type == ct.DoubleType() # type: ignore + + +@pytest.mark.asyncio +async def test_e_func(session: AsyncSession): + """ + Test the `e` function + """ + query = parse("SELECT e(), e()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + assert query.select.projection[1].function().dialects == [Dialect.SPARK] # type: ignore + + +@pytest.mark.asyncio +async def test_element_at(session: AsyncSession): + """ + Test the `element_at` Spark function + """ + query_with_array = parse("SELECT element_at(array(1, 2, 3, 4), 2)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query_with_array.compile(ctx) + assert not exc.errors + assert query_with_array.select.projection[0].type == IntegerType() # type: ignore + + query_with_map = parse("SELECT element_at(map(1, 'a', 2, 'b'), 2)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query_with_map.compile(ctx) + assert not exc.errors + assert query_with_map.select.projection[0].type == StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_elt_func(session: AsyncSession): + """ + Test the `elt` function + """ + query = parse("SELECT elt(1, 'a', 'b', 'c'), elt(3, 'd', 'e', 'f')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_encode_func(session: AsyncSession): + """ + Test the `encode` function + """ + query = parse("SELECT encode('hello', 'UTF-8'), encode('world', 'UTF-8')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_endswith_func(session: AsyncSession): + """ + Test the `endswith` function + """ + query = parse("SELECT endswith('hello', 'lo'), endswith('world', 'ld')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[1].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_equal_null_func(session: AsyncSession): + """ + Test the `equal_null` function + """ + query = parse("SELECT equal_null('hello', 'hello'), equal_null(NULL, NULL)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[1].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_every_func(session: AsyncSession): + """ + Test the `every` function + """ + query = parse("SELECT every(col), every(col) FROM (SELECT (true), (false) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[1].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_exists_func(session: AsyncSession): + """ + Test the `exists` function + """ + query = parse("SELECT exists(array(1, 2, 3), x -> x % 2 > 0)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_explode_outer_func(session: AsyncSession): + """ + Test the `explode_outer` function + """ + query = parse( + "SELECT explode_outer(array(1, 2, 3)), explode_outer(map('key1', 'value1', 'key2', 'value2'))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_expm1_func(session: AsyncSession): + """ + Test the `expm1` function + """ + query = parse("SELECT expm1(1), expm1(0.5)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_factorial_func(session: AsyncSession): + """ + Test the `factorial` function + """ + query = parse("SELECT factorial(0), factorial(5)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_filter(session: AsyncSession): + """ + Test the `filter` function + """ + query = parse("SELECT filter(col, s -> s != 3) FROM (SELECT array(1, 2, 3) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.IntegerType(), + ) + + query = parse( + "SELECT filter(col, (s, i) -> s + i != 3) FROM (SELECT array(1, 2, 3) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.IntegerType(), + ) + + with pytest.raises(DJParseException): + query = parse( + "SELECT filter(col, (s, i, a) -> s + i != 3) FROM (SELECT array(1, 2, 3) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + +@pytest.mark.asyncio +async def test_find_in_set_func(session: AsyncSession): + """ + Test the `find_in_set` function + """ + query = parse("SELECT find_in_set('b', 'a,b,c,d'), find_in_set('e', 'a,b,c,d')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_first_and_first_value(session: AsyncSession): + """ + Test `first` and `first_value` + """ + query = parse( + "SELECT first(col), first(col, true), first_value(col), " + "first_value(col, true) FROM (SELECT (1), (2) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + assert query.select.projection[2].type == ct.IntegerType() # type: ignore + assert query.select.projection[3].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_flatten(session: AsyncSession): + """ + Test `flatten` + """ + query = parse("SELECT flatten(array(array(1, 2), array(3, 4)))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.IntegerType(), + ) + + +@pytest.mark.asyncio +async def test_float_func(session: AsyncSession): + """ + Test the `float` function + """ + query = parse("SELECT float(123), float('456.78')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.parametrize( + "types, expected", + [ + ((ct.IntegerType(),), ct.BigIntType()), + ((ct.FloatType(),), ct.BigIntType()), + ((ct.DoubleType(),), ct.BigIntType()), + ((ct.TinyIntType(), ct.IntegerType()), ct.DecimalType(precision=3, scale=0)), + ((ct.SmallIntType(), ct.IntegerType()), ct.DecimalType(precision=5, scale=0)), + ((ct.IntegerType(), ct.IntegerType()), ct.DecimalType(precision=10, scale=0)), + ((ct.BigIntType(), ct.IntegerType()), ct.DecimalType(precision=20, scale=0)), + ((ct.DoubleType(), ct.IntegerType()), ct.DecimalType(precision=30, scale=0)), + ((ct.FloatType(), ct.IntegerType()), ct.DecimalType(precision=14, scale=0)), + ( + (ct.DecimalType(10, 2), ct.IntegerType()), + ct.DecimalType(precision=9, scale=0), + ), + ( + (ct.DecimalType(precision=9, scale=0),), + ct.DecimalType(precision=10, scale=0), + ), + ], +) +@pytest.mark.asyncio +async def test_floor(types, expected) -> None: + """ + Test ``floor`` function. + """ + if len(types) == 1: + assert F.Floor.infer_type(ast.Column(ast.Name("x"), _type=types[0])) == expected + else: + assert ( + F.Floor.infer_type( + *( + ast.Column(ast.Name("x"), _type=types[0]), + ast.Number(0, _type=types[1]), + ), + ) + == expected + ) + assert F.Floor.dialects == [Dialect.SPARK, Dialect.DRUID] + + +@pytest.mark.asyncio +async def test_forall_func(session: AsyncSession): + """ + Test the `forall` function + """ + query = parse( + "SELECT forall(array(1, 2, 3), x -> x > 0), forall(array(1, 2, 3), x -> x < 0)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + # assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[1].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_format_number_func(session: AsyncSession): + """ + Test the `format_number` function + """ + query = parse( + "SELECT format_number(12345.6789, 2), format_number(98765.4321, '###.##')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_format_string_func(session: AsyncSession): + """ + Test the `format_string` function + """ + query = parse( + "SELECT format_string('%s %s', 'hello', 'world'), format_string('%d %d', 1, 2)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +# TODO: Fix these two +# @pytest.mark.asyncio +# async def test_from_csv_func(session: AsyncSession): +# """ +# Test the `from_csv` function +# """ +# query = parse("SELECT from_csv('1,2,3', 'a INT, b INT, c INT'), from_csv('4,5,6', 'x INT, y INT, z INT')") +# exc = DJException() +# ctx = ast.CompileContext(session=session, exception=exc) +# await query.compile(ctx) +# assert not exc.errors +# assert isinstance(query.select.projection[0].type, ct.StructType) # type: ignore +# assert isinstance(query.select.projection[1].type, ct.StructType) # type: ignore + + +@pytest.mark.asyncio +async def test_from_json_func(session: AsyncSession): + """ + Test the `from_json` function + """ + query = parse( + "SELECT from_json('1,2,3', 'a INT, b INT, c INT'), from_json('[\"a\",\"b\"]', 'ARRAY')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert isinstance(query.select.projection[0].type, ct.StructType) # type: ignore + assert isinstance(query.select.projection[1].type, ct.ListType) # type: ignore + + +@pytest.mark.asyncio +async def test_from_unix_time_func(session: AsyncSession): + """ + Test the `from_unix_time` function + """ + query = parse( + "SELECT from_unixtime(1609459200, 'yyyy-MM-dd HH:mm:ss'), from_unixtime(1609459200, 'dd/MM/yyyy HH:mm:ss')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_from_utc_timestamp_func(session: AsyncSession): + """ + Test the `from_utc_timestamp` function + """ + query = parse( + "SELECT from_utc_timestamp('2023-01-01 00:00:00', 'PST'), " + "from_utc_timestamp(cast('2023-01-01 00:00:00' as timestamp), 'IST')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + assert query.select.projection[1].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_get_func(session: AsyncSession): + """ + Test the `get` function + """ + query = parse("SELECT get(array(1, 2, 3), 0), get(array('a', 'b', 'c'), 1)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_get_json_object_func(session: AsyncSession): + """ + Test the `get_json_object` function + """ + query = parse( + "SELECT get_json_object('{\"key\": \"value\"}', '$.key'), " + 'get_json_object(\'{"key1": "value1", "key2": "value2"}\', \'$.key2\')', + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_getbit_func(session: AsyncSession): + """ + Test the `getbit` function + """ + query = parse("SELECT getbit(1010, 0), getbit(1010, 1)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_greatest(session: AsyncSession): + """ + Test `greatest` + """ + query = parse("SELECT greatest(10, 9, 2, 4, 3)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_grouping_func(session: AsyncSession): + """ + Test the `grouping` function + """ + query = parse( + "SELECT grouping(col1), grouping(col2) FROM " + "(SELECT (1), (2) AS col1, (3), (4) AS col2) GROUP BY col1", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_grouping_id_func(session: AsyncSession): + """ + Test the `grouping_id` function + """ + query = parse( + "SELECT grouping_id(col1, col2) FROM " + "(SELECT (1), (2) AS col1, (3), (4) AS col2) GROUP BY col1", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BigIntType() # type: ignore + + +@pytest.mark.asyncio +async def test_hash_func(session: AsyncSession): + """ + Test the `hash` function + """ + query = parse("SELECT hash('hello'), hash(123)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_hex_func(session: AsyncSession): + """ + Test the `hex` function + """ + query = parse("SELECT hex('hello'), hex(123)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_histogram_numeric_func(session: AsyncSession): + """ + Test the `histogram_numeric` function + """ + query = parse("SELECT histogram_numeric(col, 5) FROM (SELECT (1), (2) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert isinstance(query.select.projection[0].type, ct.ListType) # type: ignore + assert isinstance(query.select.projection[0].type.element.type, ct.StructType) # type: ignore + + +@pytest.mark.asyncio +async def test_hll_sketch_agg(session: AsyncSession): + """ + Test the `hll_sketch_agg` function + """ + query = parse("SELECT hll_sketch_agg(col, 5) FROM (SELECT (1), (2) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert isinstance(query.select.projection[0].type, ct.BinaryType) # type: ignore + + +@pytest.mark.asyncio +async def test_hll_union_agg(session: AsyncSession): + """ + Test the `hll_union_agg` function + """ + query = parse("SELECT hll_union_agg(col) FROM (SELECT (1), (2) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert isinstance(query.select.projection[0].type, ct.BinaryType) # type: ignore + + +@pytest.mark.asyncio +async def test_hll_union(session: AsyncSession): + """ + Test the `hll_union` function + """ + query = parse( + "SELECT hll_union(col1, col2) FROM (SELECT (1), (2) AS col1, (3), (4) AS col2)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert isinstance(query.select.projection[0].type, ct.BinaryType) # type: ignore + + +@pytest.mark.asyncio +async def test_hll_sketch_estimate(session: AsyncSession): + """ + Test the `hll_sketch_estimate` function + """ + query = parse("SELECT hll_sketch_estimate(col) FROM (SELECT (1), (2) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.LongType() # type: ignore + + +@pytest.mark.asyncio +async def test_hour_func(session: AsyncSession): + """ + Test the `hour` function + """ + query = parse( + "SELECT hour(cast('2023-01-01 12:34:56' as timestamp)), hour('2023-01-01 23:45:56')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_hypot_func(session: AsyncSession): + """ + Test the `hypot` function + """ + query = parse("SELECT hypot(3, 4), hypot(5.0, 12.0)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + assert query.select.projection[1].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_if(session: AsyncSession): + """ + Test the `if` functions + """ + query = parse( + "SELECT if(col1 = 'x', NULL, 1) FROM (SELECT ('aee'), ('bee') AS col1)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_ilike_like_func(session: AsyncSession): + """ + Test the `ilike`, `like` functions + """ + query = parse( + "SELECT col1 ilike '%pattern%', ilike(col1, '%pattern%'), " + "like(col1, '%pattern%') FROM (SELECT ('aee'), ('bee') AS col1)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[1].type == ct.BooleanType() # type: ignore + assert query.select.projection[2].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_initcap_func(session: AsyncSession): + """ + Test the `initcap` function + """ + query = parse("SELECT initcap('hello world'), initcap('SQL function')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_inline_func(session: AsyncSession): + """ + Test the `inline` function + """ + # This test assumes there's a table with a column of type ARRAY> + query = parse( + "SELECT inline(col1), inline_outer(array(struct(1, 'a'), struct(2, 'b')))" + " FROM (SELECT (array(struct('a', 1, 'b', '222'))) AS col1)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert isinstance(query.select.projection[0].type, ct.StructType) # type: ignore + assert isinstance(query.select.projection[1].type, ct.StructType) # type: ignore + + +@pytest.mark.asyncio +async def test_input_file_block_length_func(session: AsyncSession): + """ + Test the `input_file_block_length` function + """ + query = parse("SELECT input_file_block_length()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.LongType() # type: ignore + + +@pytest.mark.asyncio +async def test_input_file_block_start_func(session: AsyncSession): + """ + Test the `input_file_block_start` function + """ + query = parse("SELECT input_file_block_start()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.LongType() # type: ignore + + +@pytest.mark.asyncio +async def test_input_file_name_func(session: AsyncSession): + """ + Test the `input_file_name` function + """ + query = parse("SELECT input_file_name()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_int(session: AsyncSession): + """ + Test the `int` function + """ + query = parse("SELECT int('3')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_instr_func(session: AsyncSession): + """ + Test the `instr` function + """ + query = parse("SELECT instr('hello world', 'world'), instr('hello world', 'SQL')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_isnan_func(session: AsyncSession): + """ + Test the `isnan` function + """ + query = parse("SELECT isnan(1/0), isnan(0.0/0.0)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[1].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_isnotnull_isnull(session: AsyncSession): + """ + Test the `isnotnull`, `isnull` functions + """ + query = parse("SELECT isnotnull(0), isnull(null)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + assert query.select.projection[1].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_json_array_length_func(session: AsyncSession): + """ + Test the `json_array_length` function + """ + query = parse("SELECT json_array_length('[1, 2, 3]')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_json_object_keys_func(session: AsyncSession): + """ + Test the `json_object_keys` function + """ + query = parse('SELECT json_object_keys(\'{"key1": "value1", "key2": "value2"}\')') + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert isinstance(query.select.projection[0].type, ct.ListType) # type: ignore + assert query.select.projection[0].type.element.type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_json_tuple_func(session: AsyncSession): + """ + Test the `json_tuple` function + """ + query = parse( + 'SELECT json_tuple(\'{"key1": "value1", "key2": "value2"}\', \'key1\', \'key2\')', + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert isinstance(query.select.projection[0].type, ct.ListType) # type: ignore + + +@pytest.mark.asyncio +async def test_kurtosis_func(session: AsyncSession): + """ + Test the `kurtosis` function + """ + query = parse("SELECT kurtosis(col) FROM (SELECT (1), (2), (3) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DoubleType() # type: ignore + + +@pytest.mark.asyncio +async def test_lag_func(session: AsyncSession): + """ + Test the `lag` function + """ + query = parse( + "SELECT lag(col) OVER (ORDER BY col) FROM (SELECT (1), (2), (3) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + # The output type depends on the type of `col` + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_last_and_last_value(session: AsyncSession): + """ + Test the `last` function + """ + query = parse( + "SELECT last(col) OVER (PARTITION BY col2 ORDER BY col3), " + "last_value(col) OVER (PARTITION BY col2 ORDER BY col3) " + "FROM (SELECT (1), (2), (3) AS col, (1), (2), (3) AS col2, " + "(3), (4), (5) as col3)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + # The output type depends on the type of `col` + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_last_day_func(session: AsyncSession): + """ + Test the `last_day` function + """ + query = parse("SELECT last_day('2023-01-01'), last_day(cast('2023-02-15' as date))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + assert query.select.projection[1].type == ct.DateType() # type: ignore + + +@pytest.mark.asyncio +async def test_lcase_func(session: AsyncSession): + """ + Test the `lcase` function + """ + query = parse("SELECT lcase('HELLO'), lcase('WORLD')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_lead_func(session: AsyncSession): + """ + Test the `lead` function + """ + query = parse( + "SELECT lead(col, 1, 'N/A') OVER (ORDER BY col) FROM (SELECT ('1'), ('a'), ('x') AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + # The output type depends on the type of `col` + # Assuming `col` is of type StringType for this test + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_least_func(session: AsyncSession): + """ + Test the `least` function + """ + query = parse("SELECT least(10, 20, 30, 40)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[0].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +# TODO: figure out why antlr parser fails +# @pytest.mark.asyncio +# async def test_left_func(session: AsyncSession): +# """ +# Test the `left` function +# """ +# query = parse("SELECT left('hello world', 5)") +# exc = DJException() +# ctx = ast.CompileContext(session=session, exception=exc) +# await query.compile(ctx) +# assert not exc.errors +# assert query.select.projection[0].type == ct.StringType() # type: ignore +# assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_len_func(session: AsyncSession): + """ + Test the `len` function + """ + query = parse("SELECT len('hello'), length('world')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[0].function().dialects == [Dialect.SPARK] # type: ignore + + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].function().dialects == [ # type: ignore + Dialect.SPARK, + Dialect.DRUID, + ] + + +@pytest.mark.asyncio +async def test_like_func(session: AsyncSession): + """ + Test the `like` function + """ + query = parse( + "SELECT col like '%pattern%' FROM (SELECT ('a'), ('b'), ('c') AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_localtimestamp_func(session: AsyncSession): + """ + Test the `localtimestamp` function + """ + query = parse("SELECT localtimestamp()") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_locate_func(session: AsyncSession): + """ + Test the `locate` function + """ + query = parse( + "SELECT locate('world', 'hello world'), locate('SQL', 'hello world', 2)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_log_functions(session: AsyncSession): + """ + Test the `log1p`, `log10` and `log2` functions + """ + query = parse( + "SELECT log1p(col), log10(col), log2(col) FROM (SELECT (1), (2), (3) as col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DoubleType() # type: ignore + assert query.select.projection[1].type == ct.DoubleType() # type: ignore + assert query.select.projection[2].type == ct.DoubleType() # type: ignore + + +@pytest.mark.asyncio +async def test_lpad_func(session: AsyncSession): + """ + Test the `lpad` function + """ + query = parse("SELECT lpad('hello', 10, ' '), lpad('SQL', 5, '0')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_ltrim_func(session: AsyncSession): + """ + Test the `ltrim` function + """ + query = parse("SELECT ltrim(' hello'), ltrim('-----world-', '-')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_make_date_func(session: AsyncSession): + """ + Test the `make_date` function + """ + query = parse("SELECT make_date(2023, 7, 30), make_date(2023, 12, 31)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + assert query.select.projection[1].type == ct.DateType() # type: ignore + + +@pytest.mark.asyncio +async def test_make_dt_interval_func(session: AsyncSession): + """ + Test the `make_dt_interval` function + """ + query = parse("SELECT make_dt_interval(1, 2, 30, 45)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DayTimeIntervalType() # type: ignore + + +@pytest.mark.asyncio +async def test_make_interval_func(session: AsyncSession): + """ + Test the `make_interval` function + """ + query = parse("SELECT make_interval(1, 6)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.YearMonthIntervalType() # type: ignore + + +@pytest.mark.asyncio +async def test_make_timestamp_func(session: AsyncSession): + """ + Test the `make_timestamp` function + """ + query = parse("SELECT make_timestamp(2023, 7, 30, 14, 45, 30)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_make_timestamp_ltz_func(session: AsyncSession): + """ + Test the `make_timestamp_ltz` function + """ + query = parse( + "SELECT make_timestamp_ltz(2023, 7, 30, 14, 45, 30, 'UTC'), " + "make_timestamp_ltz(2023, 7, 30, 14, 45, 30)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + assert query.select.projection[1].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_make_timestamp_ntz_func(session: AsyncSession): + """ + Test the `make_timestamp_ntz` function + """ + query = parse("SELECT make_timestamp_ntz(2023, 7, 30, 14, 45, 30)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_make_ym_interval_func(session: AsyncSession): + """ + Test the `make_ym_interval` function + """ + query = parse("SELECT make_ym_interval(1, 6)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.YearMonthIntervalType() # type: ignore + + +@pytest.mark.asyncio +async def test_map_concat_func(session: AsyncSession): + """ + Test the `map_concat` function + """ + query = parse("SELECT map_concat(map(1, 'a', 2, 'b'), map(1, 'c'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.IntegerType(), + value_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_map_contains_key_func(session: AsyncSession): + """ + Test the `map_contains_key` function + """ + query = parse("SELECT map_contains_key(map(1, 'a', 2, 'b'), 1)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_map_entries_func(session: AsyncSession): + """ + Test the `map_entries` function + """ + query = parse("SELECT map_entries(map(1, 'a', 2, 'b'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.StructType( + ct.NestedField(name="key", field_type=ct.IntegerType()), # type: ignore + ct.NestedField(name="value", field_type=ct.StringType()), # type: ignore + ), + ) # type: ignore + + +@pytest.mark.asyncio +async def test_map_filter_func(session: AsyncSession): + """ + Test the `map_filter` function + """ + query = parse("SELECT map_filter(map(1, 0, 2, 2, 3, -1), (k, v) -> k > v)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.IntegerType(), + value_type=ct.IntegerType(), + ) + + +@pytest.mark.asyncio +async def test_map_from_arrays_func(session: AsyncSession): + """ + Test the `map_from_arrays` function + """ + query = parse("SELECT map_from_arrays(array(1.0, 3.0), array('2', '4'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.FloatType(), + value_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_map_from_entries_func(session: AsyncSession): + """ + Test the `map_from_entries` function + """ + query = parse("SELECT map_from_entries(array(struct(1, 'a'), struct(2, 'b')))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.IntegerType(), + value_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_map_keys_func(session: AsyncSession): + """ + Test the `map_keys` function + """ + query = parse("SELECT map_keys(map(1, 'a', 2, 'b'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + +@pytest.mark.asyncio +async def test_map_values_func(session: AsyncSession): + """ + Test the `map_values` function + """ + query = parse("SELECT map_values(map(1, 'a', 2, 'b'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + +@pytest.mark.asyncio +async def test_max() -> None: + """ + Test ``Max`` function. + """ + assert ( + Max.infer_type(ast.Column(ast.Name("x"), _type=IntegerType())) == IntegerType() + ) + assert Max.infer_type(ast.Column(ast.Name("x"), _type=BigIntType())) == BigIntType() + assert Max.infer_type(ast.Column(ast.Name("x"), _type=FloatType())) == FloatType() + assert Max.infer_type(ast.Column(ast.Name("x"), _type=StringType())) == StringType() + assert ( + Max.infer_type(ast.Column(ast.Name("x"), _type=BooleanType())) == BooleanType() + ) + assert Max.infer_type( + ast.Column(ast.Name("x"), _type=DecimalType(8, 6)), + ) == DecimalType(8, 6) + + +@pytest.mark.asyncio +async def test_map_zip_with_func(session: AsyncSession): + """ + Test the `map_zip_with` function + """ + # The third argument to map_zip_with is a function, which needs special handling + # Assuming that we have a function "func" defined elsewhere in the code + query = parse( + "SELECT map_zip_with(map(1, 'a', 2, 'b'), map(1, 'x', 2, 'y'), (k, v1, v2) -> concat(v1, v2))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.IntegerType(), + value_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_mask_func(session: AsyncSession): + """ + Test the `mask` function + """ + query = parse( + "SELECT mask('abcd-EFGH-8765-4321'), " + "mask('abcd-EFGH-8765-4321', 'Q'), " + "mask('AbCD123-@$#', 'Q', 'q'), " + "mask('AbCD123-@$#', 'Q', 'q', 'd'), " + "mask('AbCD123-@$#', 'Q', 'q', 'd', 'o')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + assert query.select.projection[2].type == ct.StringType() # type: ignore + assert query.select.projection[3].type == ct.StringType() # type: ignore + assert query.select.projection[4].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_max_by_min_by_funcs(session: AsyncSession): + """ + Test the `max_by` function + """ + query = parse( + "SELECT max_by(x, y), min_by(x, y) " + "FROM (SELECT ('a'), ('b'), ('c') AS x, (10), (50), (20) AS y)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_md5_func(session: AsyncSession): + """ + Test the `md5` function + """ + query = parse("SELECT md5('Spark')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_mean_func(session: AsyncSession): + """ + Test the `mean` function + """ + query = parse("SELECT mean(col) FROM (SELECT (1), (2), (3) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DoubleType() # type: ignore + + +@pytest.mark.asyncio +async def test_median_func(session: AsyncSession): + """ + Test the `median` function + """ + query = parse("SELECT median(col) FROM (SELECT (1), (2), (3) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DoubleType() # type: ignore + + +@pytest.mark.asyncio +async def test_min() -> None: + """ + Test ``Min`` function. + """ + assert ( + Min.infer_type(ast.Column(ast.Name("x"), _type=IntegerType())) == IntegerType() + ) + assert Min.infer_type(ast.Column(ast.Name("x"), _type=BigIntType())) == BigIntType() + assert Min.infer_type(ast.Column(ast.Name("x"), _type=FloatType())) == FloatType() + assert Min.infer_type(ast.Column(ast.Name("x"), _type=StringType())) == StringType() + assert Min.infer_type( + ast.Column(ast.Name("x"), _type=DecimalType(8, 6)), + ) == DecimalType(8, 6) + + +@pytest.mark.asyncio +async def test_minute(session: AsyncSession): + """ + Test the `minute` function + """ + query = parse( + "SELECT minute('2009-07-30 12:58:59'), minute(cast('2009-07-30 12:58:59' as timestamp))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_mod(session: AsyncSession): + """ + Test the `mod` function + """ + query = parse( + "SELECT MOD(2, 1.8)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_mode(session: AsyncSession): + """ + Test the `mode` function + """ + query = parse( + "SELECT mode(col) FROM (SELECT (0), (10), (10) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_monotonically_increasing_id(session: AsyncSession): + """ + Test the `monotonically_increasing_id` function + """ + query = parse( + "SELECT monotonically_increasing_id()", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BigIntType() # type: ignore + + +@pytest.mark.asyncio +async def test_months_between(session: AsyncSession): + """ + Test the `months_between` function + """ + query = parse( + "SELECT months_between('1997-02-28 10:30:00', '1996-10-30'), " + "months_between(cast('1997-02-28 10:30:00' as timestamp), cast('1996-10-30' as timestamp)), " + "months_between('1997-02-28 10:30:00', '1996-10-30', false)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_named_struct_func(session: AsyncSession): + """ + Test the `named_struct` function + """ + query = parse("SELECT named_struct('name', 'cactus', 'age', 30)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StructType( # type: ignore + ct.NestedField(name="name", field_type=ct.StringType()), # type: ignore + ct.NestedField(name="age", field_type=ct.IntegerType()), # type: ignore + ) + + +@pytest.mark.asyncio +async def test_nanvl_func(session: AsyncSession): + """ + Test the `nanvl` function + """ + query = parse("SELECT nanvl(cast('NaN' as double), 123)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DoubleType() # type: ignore + + +@pytest.mark.asyncio +async def test_negative_func(session: AsyncSession): + """ + Test the `negative` function + """ + query = parse("SELECT negative(1)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_next_day_func(session: AsyncSession): + """ + Test the `next_day` function + """ + query = parse("SELECT next_day('2015-01-14', 'TU')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + + +@pytest.mark.asyncio +async def test_not_func(session: AsyncSession): + """ + Test the `not` function + """ + query = parse("SELECT not(true)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_now() -> None: + """ + Test ``Now`` function. + """ + assert Now.infer_type() == ct.TimestampType() + + +@pytest.mark.asyncio +async def test_nth_value_func(session: AsyncSession): + """ + Test the `nth_value` function + """ + query = parse( + "SELECT a, b, nth_value(b, 2) OVER (PARTITION BY a ORDER BY b) FROM " + "(SELECT ('A1'), ('A2'), ('A1') AS a, (2), (1), (3) AS b)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[2].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_ntile_func(session: AsyncSession): + """ + Test the `ntile` function + """ + query = parse( + "SELECT a, b, ntile(2) OVER (PARTITION BY a ORDER BY b) FROM" + "(SELECT ('A1'), ('A2'), ('A1') AS a, (2), (1), (3) AS b)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[2].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_nullif_func(session: AsyncSession): + """ + Test the `nullif` function + """ + query = parse("SELECT nullif(2, 2)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_nvl_func(session: AsyncSession): + """ + Test the `nvl` function + """ + query = parse("SELECT nvl(array('1'), array('2'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + +@pytest.mark.asyncio +async def test_nvl2_func(session: AsyncSession): + """ + Test the `nvl2` function + """ + query = parse("SELECT nvl2(3, NULL, 1)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_octet_length_func(session: AsyncSession): + """ + Test the `octet_length` function + """ + query = parse("SELECT octet_length('Spark SQL')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_overlay_func(session: AsyncSession): + """ + Test the `overlay` function + TODO: support syntax like: + SELECT overlay(encode('Spark SQL', 'utf-8') PLACING encode('_', 'utf-8') FROM 6); + """ + query = parse("SELECT overlay('Hello World', 'J', 7)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_percentile(session: AsyncSession): + """ + Test the `percentile` function + """ + query = parse("SELECT percentile(col, 0.3) FROM (SELECT (0), (10) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + + query = parse( + "SELECT percentile(col, array(0.25, 0.75)) FROM (SELECT (0), (10) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.FloatType()) # type: ignore + + query = parse( + "SELECT percentile(col, 0.5) FROM (" + "SELECT (INTERVAL '0' MONTH), (INTERVAL '10' MONTH) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + + query = parse( + "SELECT percentile(col, 0.5, 3) FROM (" + "SELECT (INTERVAL '0' MONTH), (INTERVAL '10' MONTH) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.FloatType() # type: ignore + + query = parse( + "SELECT percentile(col, array(0.2, 0.5)) " + "FROM (SELECT (INTERVAL '0' MONTH), (INTERVAL '10' MONTH) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(ct.FloatType()) # type: ignore + + query = parse( + "SELECT percentile(col, array(0.2, 0.5), 2) " + "FROM (SELECT (INTERVAL '0' MONTH), (INTERVAL '10' MONTH) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(ct.FloatType()) # type: ignore + + +@pytest.mark.asyncio +async def test_random(session: AsyncSession): + """ + Test `random`, `rand` and `randn` + """ + query = parse( + "SELECT random(), random(0), random(null), rand(), rand(0), " + "rand(null), randn(), randn(0), randn(null)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + for column in query.select.projection: + assert column.type == ct.FloatType() # type: ignore + + +@pytest.mark.asyncio +async def test_rank(session: AsyncSession): + """ + Test `dense_rank`, `rank` + """ + query = parse( + "SELECT " + "rank() OVER (PARTITION BY col ORDER BY col)," + "rank(col) OVER (PARTITION BY col ORDER BY col)," + "dense_rank() OVER (PARTITION BY col ORDER BY col)," + "dense_rank(col) OVER (PARTITION BY col ORDER BY col)" + " FROM (SELECT (1), (2) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + assert query.select.projection[2].type == ct.IntegerType() # type: ignore + assert query.select.projection[3].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_regexp_extract(session: AsyncSession): + """ + Test `regexp_extract` + """ + # w/o position arg + query = parse("SELECT regexp_extract('100-200', '(\\d+)')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + # w/ position arg + query = parse("SELECT regexp_extract('100-200', '(\\d+)', 42)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_regexp_like(session: AsyncSession): + """ + Test `regexp_like` + """ + query = parse( + "SELECT regexp_like('%SystemDrive%\\Users\\John', '%SystemDrive%\\Users.*')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BooleanType() # type: ignore + + +@pytest.mark.asyncio +async def test_regexp_replace(session: AsyncSession): + """ + Test `regexp_replace` + """ + # w/o position arg + query = parse("SELECT regexp_replace('100-200', '(\\d+)', 'num')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + # w/ position arg + query = parse("SELECT regexp_replace('100-200', '(\\d+)', 'num', 42)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_date_add(session: AsyncSession): + """ + Test `date_add` + """ + # first arg: date + query = parse( + "SELECT date_add(CURRENT_DATE(), 42)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + # first arg: timestamp + query = parse( + "SELECT date_add(CURRENT_TIMESTAMP(), 42)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + # first arg: string + query = parse( + "SELECT date_add('2020-01-01', 42)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DateType() # type: ignore + + +@pytest.mark.asyncio +async def test_replace(session: AsyncSession): + """ + Test `replace` + """ + # two arguments + query = parse( + "SELECT replace('%SystemDrive%\\Users\\John', '%SystemDrive%\\Users.*')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + # three arguments + query = parse( + "SELECT replace('%SystemDrive%\\Users\\John', '%SystemDrive%\\Users.*', 'C:\\Users\\John')", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_row_number(session: AsyncSession): + """ + Test `row_number` + """ + query = parse( + "SELECT row_number() OVER (PARTITION BY col ORDER BY col) FROM (SELECT (1), (2) AS col)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_round(session: AsyncSession): + """ + Test `round` + """ + query = parse( + "SELECT round(2.5, 0)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + query = parse( + "SELECT round(2.5)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_sequence(session: AsyncSession): + """ + Test `sequence` + """ + query = parse("SELECT sequence(1, 10)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + query = parse("SELECT sequence(1, 10, 2)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + query = parse( + "SELECT sequence(to_date('2018-01-01'), to_date('2018-03-01'), interval 1 month)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.DateType()) # type: ignore + + query = parse( + "SELECT sequence(to_timestamp('2018-01-01 00:00:00'), " + "to_timestamp('2018-01-01 12:00:00'), interval 1 hour)", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType( # type: ignore + element_type=ct.TimestampType(), + ) + + +@pytest.mark.asyncio +async def test_size(session: AsyncSession): + """ + Test the `size` Spark function + """ + query = parse("SELECT size(array('b', 'd', 'c', 'a'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + query = parse("SELECT size(map('a', 1, 'b', 2))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_split(session: AsyncSession): + """ + Test the `split` Spark function + """ + query = parse("SELECT split('oneAtwoBthreeC', '[ABC]')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.ListType(element_type=ct.StringType()) # type: ignore + + +@pytest.mark.asyncio +async def test_strpos(session: AsyncSession): + """ + Test `strpos` + """ + query = parse("SELECT strpos('abcde', 'cde'), strpos('abcde', 'cde', 4)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + assert query.select.projection[1].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_substring(session: AsyncSession): + """ + Test `substring` + """ + query = parse("SELECT substring('Spark SQL', 5), substring('Spark SQL', 5, 1)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + query = parse("SELECT substr('Spark SQL', 5), substring('Spark SQL', 5, 1)") + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + assert query.select.projection[1].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_sum() -> None: + """ + Test ``sum`` function. + """ + assert ( + Sum.infer_type(ast.Column(ast.Name("x"), _type=IntegerType())) == BigIntType() + ) + assert Sum.infer_type(ast.Column(ast.Name("x"), _type=FloatType())) == DoubleType() + assert Sum.infer_type( + ast.Column(ast.Name("x"), _type=DecimalType(8, 6)), + ) == DecimalType(18, 6) + + +@pytest.mark.asyncio +async def test_transform(session: AsyncSession): + """ + Test the `transform` Spark function + """ + query = parse( + """ + SELECT transform(array(1, 2, 3), x -> x + 1) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + query = parse( + """ + SELECT transform(array(1, 2, 3), (x, i) -> x + i) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.ListType(element_type=ct.IntegerType()) # type: ignore + + +@pytest.mark.asyncio +async def test_transform_keys(session: AsyncSession): + """ + Test the `transform_keys` Spark function + """ + query = parse( + """ + SELECT transform_keys(map_from_arrays(array(1, 2, 3), array(1, 2, 3)), (k, v) -> k + 1.1); + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.FloatType(), + value_type=ct.IntegerType(), + ) + + query = parse( + """ + SELECT transform_keys(map_from_arrays(array('1', '2', '3'), array('1', '2', '3')), (k, v) -> k + v) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.StringType(), + value_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_transform_values(session: AsyncSession): + """ + Test the `transform_values` Spark function + """ + query = parse( + """ + SELECT transform_values(map_from_arrays(array(1, 2, 3), array(1, 2, 3)), (k, v) -> v*1.0) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.IntegerType(), + value_type=ct.FloatType(), + ) + + query = parse( + """ + SELECT transform_values(map_from_arrays(array('1', '2', '3'), array('1', '2', '3')), (k, v) -> k + v) + """, + ) + ctx = ast.CompileContext(session=session, exception=DJException()) + await query.compile(ctx) + assert query.select.projection[0].type == ct.MapType( # type: ignore + key_type=ct.StringType(), + value_type=ct.StringType(), + ) + + +@pytest.mark.asyncio +async def test_to_date() -> None: + """ + Test ``to_date`` function. + """ + assert ( + ToDate.infer_type(ast.Column(ast.Name("x"), _type=StringType())) == DateType() + ) + + +@pytest.mark.asyncio +async def test_trim(session: AsyncSession): + """ + Test `trim` + """ + query = parse("SELECT trim(' lmgi ')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_unhex_func(session: AsyncSession): + """ + Test the `unhex` function + """ + query = parse("SELECT unhex('4D'), unhex('7953514C')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BinaryType() # type: ignore + assert query.select.projection[1].type == ct.BinaryType() # type: ignore + + +@pytest.mark.asyncio +async def test_upper(session: AsyncSession): + """ + Test `upper` + """ + query = parse("SELECT upper('abcde')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.StringType() # type: ignore + + +@pytest.mark.asyncio +async def test_var_samp(session: AsyncSession): + """ + Test `var_samp` + """ + query = parse("SELECT var_samp(col) FROM (select (1), (2) AS col)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.DoubleType() # type: ignore + + +@pytest.mark.asyncio +async def test_unix_date(session: AsyncSession): + """ + Test the `unix_date` function + """ + query = parse("SELECT unix_date(DATE('1970-01-02'))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.IntegerType() # type: ignore + + +@pytest.mark.asyncio +async def test_unix_micros(session: AsyncSession): + """ + Test the `unix_micros` function + """ + query = parse("SELECT unix_micros(cast('1970-01-01 00:00:01Z' as timestamp))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BigIntType() # type: ignore + + +@pytest.mark.asyncio +async def test_unix_millis(session: AsyncSession): + """ + Test the `unix_millis` function + """ + query = parse("SELECT unix_millis(cast('1970-01-01 00:00:01Z' as timestamp))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BigIntType() # type: ignore + + +@pytest.mark.asyncio +async def test_unix_seconds(session: AsyncSession): + """ + Test the `unix_seconds` function + """ + query = parse("SELECT unix_seconds(cast('1970-01-01 00:00:01Z' as timestamp))") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BigIntType() # type: ignore + + +@pytest.mark.asyncio +async def test_unix_timestamp(session: AsyncSession): + """ + Test the `unix_timestamp` function + """ + query = parse("SELECT unix_timestamp(), unix_timestamp('2016-04-08', 'yyyy-MM-dd')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BigIntType() # type: ignore + assert query.select.projection[1].type == ct.BigIntType() # type: ignore + + query = parse( + "SELECT unix_timestamp(to_timestamp('2025-01-01 10:10:10.123', 'yyyy-MM-dd HH:mm:ss.SSS'))", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.BigIntType() # type: ignore + + +@pytest.mark.asyncio +async def test_timestamp(session: AsyncSession): + """ + Test the `timestamp` function + """ + query = parse("SELECT timestamp('2016-04-08')") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_timestamp_micros(session: AsyncSession): + """ + Test the `timestamp_micros` function + """ + query = parse("SELECT timestamp_micros(1230219000123123)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_timestamp_millis(session: AsyncSession): + """ + Test the `timestamp_millis` function + """ + query = parse("SELECT timestamp_millis(1230219000123)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore + + +@pytest.mark.asyncio +async def test_timestamp_seconds(session: AsyncSession): + """ + Test the `timestamp_seconds` function + """ + query = parse("SELECT timestamp_seconds(1230219000.123)") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert query.select.projection[0].type == ct.TimestampType() # type: ignore diff --git a/datajunction-server/tests/sql/parsing/__init__.py b/datajunction-server/tests/sql/parsing/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/sql/parsing/backends/__init__.py b/datajunction-server/tests/sql/parsing/backends/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/sql/parsing/backends/antlr4_test.py b/datajunction-server/tests/sql/parsing/backends/antlr4_test.py new file mode 100644 index 000000000..99ddf0587 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/backends/antlr4_test.py @@ -0,0 +1,230 @@ +""" +Tests for custom antlr4 parser +""" +# mypy: ignore-errors + +import pytest + +from datajunction_server.sql.parsing.backends.antlr4 import parse, ast +from datajunction_server.sql.parsing.backends.exceptions import DJParseException + + +@pytest.mark.parametrize( + "query_string", + [ + """SELECT suit, key, value + FROM suites_and_ranks_arrays + LATERAL VIEW EXPLODE(rankmap) AS key, value + ORDER BY suit;""", + """SELECT suit, exploded_rank + FROM suites_and_ranks_arrays + LATERAL VIEW EXPLODE(rank) exploded_rank + ORDER BY suit;""", + """SELECT suit, exploded_rank, key, value + FROM suites_and_ranks_arrays + LATERAL VIEW EXPLODE(rank) AS exploded_rank + LATERAL VIEW EXPLODE(rankmap) AS key, value + ORDER BY suit;""", + ], +) +def test_antlr4_backend_lateral_view_explode(query_string): + """ + Test LATERAL VIEW EXPLODE queries + """ + parse(query_string) + + +@pytest.mark.parametrize( + "query_string", + [ + """Select suit, exploded_rank, exploded_rank2 + from suites_and_ranks_arrays + CROSS JOIN UNNEST(rank) as t(exploded_rank) + ORDER BY suit;""", + """Select suit, exploded_rank, exploded_rank2 + from suites_and_ranks_arrays + CROSS JOIN UNNEST(rank, rank) as t(exploded_rank, exploded_rank2) + ORDER BY suit;""", + """Select suit, exploded_rank, exploded_rank2 + from suites_and_ranks_arrays + CROSS JOIN UNNEST(rank) as t(exploded_rank) + CROSS JOIN UNNEST(rank) as t(exploded_rank2)""", + """Select suit, key, value + from suites_and_ranks_arrays + CROSS JOIN UNNEST(rankmap) as t(key, value) + ORDER BY suit;""", + """Select suit, exploded_rank, k, value + from suites_and_ranks_arrays + CROSS JOIN UNNEST(rank, rankmap) as t(exploded_rank, key, value) + ORDER BY suit;""", + ], +) +def test_antlr4_backend_cross_join_unnest(query_string): + """ + Test CROSS JOIN UNNEST queries + """ + parse(query_string) + + +def test_antlr4_backend_predicate_like(): + """ + Test LIKE predicate + """ + query = parse("SELECT * FROM person WHERE name LIKE '%$_%';") + assert "LIKE '%$_%'" in str(query) + + +def test_antlr4_backend_predicate_ilike(): + """ + Test ILIKE predicate + """ + query = parse("SELECT * FROM person WHERE name ILIKE '%foo%';") + assert "ILIKE '%foo%'" in str(query) + + +def test_antlr4_backend_predicate_rlike(): + """ + Test RLIKE predicate + """ + query = parse("SELECT * FROM person WHERE name RLIKE 'M+';") + assert "RLIKE 'M+'" in str(query) + + +def test_antlr4_backend_predicate_is_distinct_from(): + """ + Test IS DISTINCT FROM predicate + """ + query = parse("SELECT * FROM person WHERE name IS DISTINCT FROM 'Bob'") + assert "IS DISTINCT FROM 'Bob'" in str(query) + + +def test_antlr4_backend_trim(): + """ + Test trim + """ + query = parse("SELECT TRIM(BOTH FROM ' SparkSQL ');") + assert "TRIM( BOTH FROM ' SparkSQL ')" in str(query) + query = parse("SELECT TRIM(LEADING FROM ' SparkSQL ');") + assert "TRIM( LEADING FROM ' SparkSQL ')" in str(query) + query = parse("SELECT TRIM(TRAILING FROM ' SparkSQL ');") + assert "TRIM( TRAILING FROM ' SparkSQL ')" in str(query) + query = parse("SELECT TRIM(' SparkSQL ');") + assert "TRIM(' SparkSQL ')" in str(query) + + +def test_antlr4_lambda_function(): + """ + Test a lambda function using `->` + """ + query = parse("SELECT FOO('a', 'b', c -> d) AS e;") + assert "FOO('a', 'b', c->d) AS e" in str(query) + query = parse("SELECT FOO('a', 'b', (c, c2, c3) -> d) AS e;") + assert "FOO('a', 'b', (c, c2, c3)->d) AS e" in str(query) + + +def test_antlr4_parse_error(): + """ + Test LATERAL VIEW EXPLODE queries + """ + with pytest.raises(DJParseException): + parse("SELECT ** FROM 1_#**") + + +def test_query_parameters(): + """ + Test query parameters + """ + query = parse("SELECT * FROM person WHERE name = :`param.name`") + assert ":`param.name`" in str(query) + assert [param for param in query.find_all(ast.QueryParameter)] == [ + ast.QueryParameter( + prefix=":", + name="param.name", + quote_style="`", + ), + ] + + query = parse('SELECT * FROM person WHERE some_map[:"param.name"] IS NOT NULL') + assert 'some_map[:"param.name"]' in str(query) + assert [param for param in query.find_all(ast.QueryParameter)] == [ + ast.QueryParameter( + prefix=":", + name="param.name", + quote_style='"', + ), + ] + + query = parse("SELECT * FROM person WHERE some_map[:param_name] IS NOT NULL") + assert "some_map[:param_name]" in str(query) + assert [param for param in query.find_all(ast.QueryParameter)] == [ + ast.QueryParameter( + prefix=":", + name="param_name", + quote_style="", + ), + ] + + query = parse( + "SELECT * FROM person WHERE some_map[CAST(:param_name AS INT)] IS NOT NULL", + ) + assert "some_map[CAST(:param_name AS INT)]" in str(query) + assert [param for param in query.find_all(ast.QueryParameter)] == [ + ast.QueryParameter( + prefix=":", + name="param_name", + quote_style="", + ), + ] + + +def test_antlr4_arithmetic_unary_op(): + """ + Test parsing arithmetic unary operations + """ + query_ast = parse("SELECT -a") + assert query_ast.select.projection[0] == ast.ArithmeticUnaryOp( + op=ast.ArithmeticUnaryOpKind.Minus, + expr=ast.Column(name=ast.Name(name="a")), + ) + assert "-a" in str(query_ast) + + query_ast = parse("SELECT +a") + assert query_ast.select.projection[0] == ast.ArithmeticUnaryOp( + op=ast.ArithmeticUnaryOpKind.Plus, + expr=ast.Column(name=ast.Name(name="a")), + ) + assert "+a" in str(query_ast) + + query_ast = parse("SELECT ~a") + assert query_ast.select.projection[0] == ast.ArithmeticUnaryOp( + op=ast.ArithmeticUnaryOpKind.BitwiseNot, + expr=ast.Column(name=ast.Name(name="a")), + ) + assert "~a" in str(query_ast) + + +def test_antlr4_decimal_at_eof(): + """ + Test parsing expressions with decimal numbers at end of input. + + This tests a fix for a bug where the lexer's isValidDecimal() method + would crash with `chr(-1)` ValueError when a decimal like `3600.0` + appeared at the end of the input string (EOF). + """ + # Simple decimal at EOF + query_ast = parse("SELECT 3600.0") + assert "3600.0" in str(query_ast) + + # Expression with decimal at EOF + query_ast = parse("SELECT x / 3600.0") + assert "3600.0" in str(query_ast) + assert "/" in str(query_ast) + + # Multiple decimals, last one at EOF + query_ast = parse("SELECT 1.5 + 2.5") + assert "1.5" in str(query_ast) + assert "2.5" in str(query_ast) + + # Decimal with scientific notation at EOF (normalized to 150.0) + query_ast = parse("SELECT 1.5E2") + assert "150.0" in str(query_ast) diff --git a/datajunction-server/tests/sql/parsing/backends/types_test.py b/datajunction-server/tests/sql/parsing/backends/types_test.py new file mode 100644 index 000000000..895209402 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/backends/types_test.py @@ -0,0 +1,38 @@ +""" +Tests for types +""" + +import datajunction_server.sql.parsing.types as ct +from datajunction_server.sql.parsing import ast + + +def test_types_compatible(): + """ + Checks whether type compatibility checks work + """ + assert ct.IntegerType().is_compatible(ct.IntegerType()) + assert ct.IntegerType().is_compatible(ct.BigIntType()) + assert ct.BigIntType().is_compatible(ct.IntegerType()) + assert ct.TinyIntType().is_compatible(ct.BigIntType()) + assert ct.BigIntType().is_compatible(ct.BigIntType()) + assert ct.BigIntType().is_compatible(ct.IntegerType()) + assert ct.FloatType().is_compatible(ct.DoubleType()) + assert ct.StringType().is_compatible(ct.VarcharType()) + assert ct.DateType().is_compatible(ct.TimeType()) + + assert not ct.StringType().is_compatible(ct.IntegerType()) + assert not ct.StringType().is_compatible(ct.BooleanType()) + assert not ct.StringType().is_compatible(ct.BinaryType()) + assert not ct.StringType().is_compatible(ct.BigIntType()) + assert not ct.StringType().is_compatible(ct.DateType()) + + +def test_varchar_in_ast(): + """ + Test that varchar types support length as a parameter. + """ + cast_expr = ast.Cast( + data_type=ast.ColumnType("varchar(10)"), + expression=ast.Column(ast.Name("abc")), + ) + assert str(cast_expr) == "CAST(abc AS VARCHAR(10))" diff --git a/datajunction-server/tests/sql/parsing/queries/__init__.py b/datajunction-server/tests/sql/parsing/queries/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query1.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query1.sql new file mode 100644 index 000000000..8808e3ce6 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query1.sql @@ -0,0 +1,23 @@ +-- start query 1 in stream 0 using template query1.tpl +WITH customer_total_return + AS (SELECT sr_customer_sk AS ctr_customer_sk, + sr_store_sk AS ctr_store_sk, + Sum(sr_return_amt) AS ctr_total_return + FROM store_returns, + date_dim + WHERE sr_returned_date_sk = d_date_sk + AND d_year = 2001 + GROUP BY sr_customer_sk, + sr_store_sk) +SELECT c_customer_id +FROM customer_total_return ctr1, + store, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_store_sk = ctr2.ctr_store_sk) + AND s_store_sk = ctr1.ctr_store_sk + AND s_state = 'TN' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query10.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query10.sql new file mode 100644 index 000000000..0cb0ba050 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query10.sql @@ -0,0 +1,62 @@ +-- start query 10 in stream 0 using template query10.tpl +SELECT cd_gender, + cd_marital_status, + cd_education_status, + Count(*) cnt1, + cd_purchase_estimate, + Count(*) cnt2, + cd_credit_rating, + Count(*) cnt3, + cd_dep_count, + Count(*) cnt4, + cd_dep_employed_count, + Count(*) cnt5, + cd_dep_college_count, + Count(*) cnt6 +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND ca_county IN ( 'Lycoming County', 'Sheridan County', + 'Kandiyohi County', + 'Pike County', + 'Greene County' ) + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) + AND ( EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) + OR EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) ) +GROUP BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +ORDER BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query11.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query11.sql new file mode 100644 index 000000000..cf24b9b74 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query11.sql @@ -0,0 +1,97 @@ +-- start query 11 in stream 0 using template query11.tpl +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name + , + c_last_name + customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address + customer_email_address, + d_year dyear, + Sum(ss_ext_list_price - ss_ext_discount_amt) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name + , + c_last_name + customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address + customer_email_address, + d_year dyear, + Sum(ws_ext_list_price - ws_ext_discount_amt) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_birth_country +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.dyear = 2001 + AND t_s_secyear.dyear = 2001 + 1 + AND t_w_firstyear.dyear = 2001 + AND t_w_secyear.dyear = 2001 + 1 + AND t_s_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE 0.0 + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE 0.0 + END +ORDER BY t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_birth_country +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query12.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query12.sql new file mode 100644 index 000000000..5f6d721c4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query12.sql @@ -0,0 +1,30 @@ +-- start query 12 in stream 0 using template query12.tpl +SELECT + i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + Sum(ws_ext_sales_price) AS itemrevenue , + Sum(ws_ext_sales_price)*100/Sum(Sum(ws_ext_sales_price)) OVER (partition BY i_class) AS revenueratio +FROM web_sales , + item , + date_dim +WHERE ws_item_sk = i_item_sk +AND i_category IN ('Home', + 'Men', + 'Women') +AND ws_sold_date_sk = d_date_sk +AND d_date BETWEEN Cast('2000-05-11' AS DATE) AND ( + Cast('2000-05-11' AS DATE) + INTERVAL '30' day) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query13.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query13.sql new file mode 100644 index 000000000..2bec54b95 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query13.sql @@ -0,0 +1,44 @@ +-- start query 13 in stream 0 using template query13.tpl +SELECT Avg(ss_quantity), + Avg(ss_ext_sales_price), + Avg(ss_ext_wholesale_cost), + Sum(ss_ext_wholesale_cost) +FROM store_sales, + store, + customer_demographics, + household_demographics, + customer_address, + date_dim +WHERE s_store_sk = ss_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2001 + AND ( ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'U' + AND cd_education_status = 'Advanced Degree' + AND ss_sales_price BETWEEN 100.00 AND 150.00 + AND hd_dep_count = 3 ) + OR ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'M' + AND cd_education_status = 'Primary' + AND ss_sales_price BETWEEN 50.00 AND 100.00 + AND hd_dep_count = 1 ) + OR ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'D' + AND cd_education_status = 'Secondary' + AND ss_sales_price BETWEEN 150.00 AND 200.00 + AND hd_dep_count = 1 ) ) + AND ( ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'AZ', 'NE', 'IA' ) + AND ss_net_profit BETWEEN 100 AND 200 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'MS', 'CA', 'NV' ) + AND ss_net_profit BETWEEN 150 AND 300 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'GA', 'TX', 'NJ' ) + AND ss_net_profit BETWEEN 50 AND 250 ) ); diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query14.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query14.sql new file mode 100644 index 000000000..7a7572bba --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query14.sql @@ -0,0 +1,245 @@ +-- start query 14 in stream 0 using template query14.tpl +WITH cross_items + AS (SELECT i_item_sk ss_item_sk + FROM item, + (SELECT iss.i_brand_id brand_id, + iss.i_class_id class_id, + iss.i_category_id category_id + FROM store_sales, + item iss, + date_dim d1 + WHERE ss_item_sk = iss.i_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND d1.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT ics.i_brand_id, + ics.i_class_id, + ics.i_category_id + FROM catalog_sales, + item ics, + date_dim d2 + WHERE cs_item_sk = ics.i_item_sk + AND cs_sold_date_sk = d2.d_date_sk + AND d2.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT iws.i_brand_id, + iws.i_class_id, + iws.i_category_id + FROM web_sales, + item iws, + date_dim d3 + WHERE ws_item_sk = iws.i_item_sk + AND ws_sold_date_sk = d3.d_date_sk + AND d3.d_year BETWEEN 1999 AND 1999 + 2) + WHERE i_brand_id = brand_id + AND i_class_id = class_id + AND i_category_id = category_id), + avg_sales + AS (SELECT Avg(quantity * list_price) average_sales + FROM (SELECT ss_quantity quantity, + ss_list_price list_price + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT cs_quantity quantity, + cs_list_price list_price + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT ws_quantity quantity, + ws_list_price list_price + FROM web_sales, + date_dim + WHERE ws_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2) x) +SELECT channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(sales), + Sum(number_sales) +FROM (SELECT 'store' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ss_quantity * ss_list_price) sales, + Count(*) number_sales + FROM store_sales, + item, + date_dim + WHERE ss_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ss_quantity * ss_list_price) > (SELECT average_sales + FROM avg_sales) + UNION ALL + SELECT 'catalog' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(cs_quantity * cs_list_price) sales, + Count(*) number_sales + FROM catalog_sales, + item, + date_dim + WHERE cs_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(cs_quantity * cs_list_price) > (SELECT average_sales + FROM avg_sales) + UNION ALL + SELECT 'web' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ws_quantity * ws_list_price) sales, + Count(*) number_sales + FROM web_sales, + item, + date_dim + WHERE ws_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ws_quantity * ws_list_price) > (SELECT average_sales + FROM avg_sales)) y +GROUP BY rollup ( channel, i_brand_id, i_class_id, i_category_id ) +ORDER BY channel, + i_brand_id, + i_class_id, + i_category_id +LIMIT 100; + +WITH cross_items + AS (SELECT i_item_sk ss_item_sk + FROM item, + (SELECT iss.i_brand_id brand_id, + iss.i_class_id class_id, + iss.i_category_id category_id + FROM store_sales, + item iss, + date_dim d1 + WHERE ss_item_sk = iss.i_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND d1.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT ics.i_brand_id, + ics.i_class_id, + ics.i_category_id + FROM catalog_sales, + item ics, + date_dim d2 + WHERE cs_item_sk = ics.i_item_sk + AND cs_sold_date_sk = d2.d_date_sk + AND d2.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT iws.i_brand_id, + iws.i_class_id, + iws.i_category_id + FROM web_sales, + item iws, + date_dim d3 + WHERE ws_item_sk = iws.i_item_sk + AND ws_sold_date_sk = d3.d_date_sk + AND d3.d_year BETWEEN 1999 AND 1999 + 2) x + WHERE i_brand_id = brand_id + AND i_class_id = class_id + AND i_category_id = category_id), + avg_sales + AS (SELECT Avg(quantity * list_price) average_sales + FROM (SELECT ss_quantity quantity, + ss_list_price list_price + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT cs_quantity quantity, + cs_list_price list_price + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT ws_quantity quantity, + ws_list_price list_price + FROM web_sales, + date_dim + WHERE ws_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2) x) +SELECT * +FROM (SELECT 'store' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ss_quantity * ss_list_price) sales, + Count(*) number_sales + FROM store_sales, + item, + date_dim + WHERE ss_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_year = 1999 + 1 + AND d_moy = 12 + AND d_dom = 25) + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ss_quantity * ss_list_price) > (SELECT average_sales + FROM avg_sales)) this_year, + (SELECT 'store' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ss_quantity * ss_list_price) sales, + Count(*) number_sales + FROM store_sales, + item, + date_dim + WHERE ss_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_year = 1999 + AND d_moy = 12 + AND d_dom = 25) + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ss_quantity * ss_list_price) > (SELECT average_sales + FROM avg_sales)) last_year +WHERE this_year.i_brand_id = last_year.i_brand_id + AND this_year.i_class_id = last_year.i_class_id + AND this_year.i_category_id = last_year.i_category_id +ORDER BY this_year.channel, + this_year.i_brand_id, + this_year.i_class_id, + this_year.i_category_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query15.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query15.sql new file mode 100644 index 000000000..207ddd719 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query15.sql @@ -0,0 +1,20 @@ +-- start query 15 in stream 0 using template query15.tpl +SELECT ca_zip, + Sum(cs_sales_price) +FROM catalog_sales, + customer, + customer_address, + date_dim +WHERE cs_bill_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND ( Substr(ca_zip, 1, 5) IN ( '85669', '86197', '88274', '83405', + '86475', '85392', '85460', '80348', + '81792' ) + OR ca_state IN ( 'CA', 'WA', 'GA' ) + OR cs_sales_price > 500 ) + AND cs_sold_date_sk = d_date_sk + AND d_qoy = 1 + AND d_year = 1998 +GROUP BY ca_zip +ORDER BY ca_zip +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query16.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query16.sql new file mode 100644 index 000000000..15149bfd6 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query16.sql @@ -0,0 +1,33 @@ +-- start query 16 in stream 0 using template query16.tpl +SELECT + Count(DISTINCT cs_order_number) AS "order count" , + Sum(cs_ext_ship_cost) AS "total shipping cost" , + Sum(cs_net_profit) AS "total net profit" +FROM catalog_sales cs1 , + date_dim , + customer_address , + call_center +WHERE d_date BETWEEN '2002-3-01' AND ( + Cast('2002-3-01' AS DATE) + INTERVAL '60' day) +AND cs1.cs_ship_date_sk = d_date_sk +AND cs1.cs_ship_addr_sk = ca_address_sk +AND ca_state = 'IA' +AND cs1.cs_call_center_sk = cc_call_center_sk +AND cc_county IN ('Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County' ) +AND EXISTS + ( + SELECT * + FROM catalog_sales cs2 + WHERE cs1.cs_order_number = cs2.cs_order_number + AND cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk) +AND NOT EXISTS + ( + SELECT * + FROM catalog_returns cr1 + WHERE cs1.cs_order_number = cr1.cr_order_number) +ORDER BY count(DISTINCT cs_order_number) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query17.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query17.sql new file mode 100644 index 000000000..da916d4a5 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query17.sql @@ -0,0 +1,56 @@ +-- start query 17 in stream 0 using template query17.tpl +SELECT i_item_id, + i_item_desc, + s_state, + Count(ss_quantity) AS + store_sales_quantitycount, + Avg(ss_quantity) AS + store_sales_quantityave, + Stddev_samp(ss_quantity) AS + store_sales_quantitystdev, + Stddev_samp(ss_quantity) / Avg(ss_quantity) AS + store_sales_quantitycov, + Count(sr_return_quantity) AS + store_returns_quantitycount, + Avg(sr_return_quantity) AS + store_returns_quantityave, + Stddev_samp(sr_return_quantity) AS + store_returns_quantitystdev, + Stddev_samp(sr_return_quantity) / Avg(sr_return_quantity) AS + store_returns_quantitycov, + Count(cs_quantity) AS + catalog_sales_quantitycount, + Avg(cs_quantity) AS + catalog_sales_quantityave, + Stddev_samp(cs_quantity) / Avg(cs_quantity) AS + catalog_sales_quantitystdev, + Stddev_samp(cs_quantity) / Avg(cs_quantity) AS + catalog_sales_quantitycov +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_quarter_name = '1999Q1' + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_quarter_name IN ( '1999Q1', '1999Q2', '1999Q3' ) + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_quarter_name IN ( '1999Q1', '1999Q2', '1999Q3' ) +GROUP BY i_item_id, + i_item_desc, + s_state +ORDER BY i_item_id, + i_item_desc, + s_state +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query18.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query18.sql new file mode 100644 index 000000000..620cd2eb3 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query18.sql @@ -0,0 +1,38 @@ +-- start query 18 in stream 0 using template query18.tpl +SELECT i_item_id, + ca_country, + ca_state, + ca_county, + Avg(Cast(cs_quantity AS NUMERIC(12, 2))) agg1, + Avg(Cast(cs_list_price AS NUMERIC(12, 2))) agg2, + Avg(Cast(cs_coupon_amt AS NUMERIC(12, 2))) agg3, + Avg(Cast(cs_sales_price AS NUMERIC(12, 2))) agg4, + Avg(Cast(cs_net_profit AS NUMERIC(12, 2))) agg5, + Avg(Cast(c_birth_year AS NUMERIC(12, 2))) agg6, + Avg(Cast(cd1.cd_dep_count AS NUMERIC(12, 2))) agg7 +FROM catalog_sales, + customer_demographics cd1, + customer_demographics cd2, + customer, + customer_address, + date_dim, + item +WHERE cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk + AND cs_bill_cdemo_sk = cd1.cd_demo_sk + AND cs_bill_customer_sk = c_customer_sk + AND cd1.cd_gender = 'F' + AND cd1.cd_education_status = 'Secondary' + AND c_current_cdemo_sk = cd2.cd_demo_sk + AND c_current_addr_sk = ca_address_sk + AND c_birth_month IN ( 8, 4, 2, 5, + 11, 9 ) + AND d_year = 2001 + AND ca_state IN ( 'KS', 'IA', 'AL', 'UT', + 'VA', 'NC', 'TX' ) +GROUP BY rollup ( i_item_id, ca_country, ca_state, ca_county ) +ORDER BY ca_country, + ca_state, + ca_county, + i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query19.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query19.sql new file mode 100644 index 000000000..c3039b2fd --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query19.sql @@ -0,0 +1,31 @@ +-- start query 19 in stream 0 using template query19.tpl +SELECT i_brand_id brand_id, + i_brand brand, + i_manufact_id, + i_manufact, + Sum(ss_ext_sales_price) ext_price +FROM date_dim, + store_sales, + item, + customer, + customer_address, + store +WHERE d_date_sk = ss_sold_date_sk + AND ss_item_sk = i_item_sk + AND i_manager_id = 38 + AND d_moy = 12 + AND d_year = 1998 + AND ss_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND Substr(ca_zip, 1, 5) <> Substr(s_zip, 1, 5) + AND ss_store_sk = s_store_sk +GROUP BY i_brand, + i_brand_id, + i_manufact_id, + i_manufact +ORDER BY ext_price DESC, + i_brand, + i_brand_id, + i_manufact_id, + i_manufact +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query2.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query2.sql new file mode 100644 index 000000000..c85af4246 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query2.sql @@ -0,0 +1,79 @@ +-- start query 2 in stream 0 using template query2.tpl +WITH wscs + AS (SELECT sold_date_sk, + sales_price + FROM (SELECT ws_sold_date_sk sold_date_sk, + ws_ext_sales_price sales_price + FROM web_sales) + UNION ALL + (SELECT cs_sold_date_sk sold_date_sk, + cs_ext_sales_price sales_price + FROM catalog_sales)), + wswscs + AS (SELECT d_week_seq, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN sales_price + ELSE NULL + END) sat_sales + FROM wscs, + date_dim + WHERE d_date_sk = sold_date_sk + GROUP BY d_week_seq) +SELECT d_week_seq1, + Round(sun_sales1 / sun_sales2, 2), + Round(mon_sales1 / mon_sales2, 2), + Round(tue_sales1 / tue_sales2, 2), + Round(wed_sales1 / wed_sales2, 2), + Round(thu_sales1 / thu_sales2, 2), + Round(fri_sales1 / fri_sales2, 2), + Round(sat_sales1 / sat_sales2, 2) +FROM (SELECT wswscs.d_week_seq d_week_seq1, + sun_sales sun_sales1, + mon_sales mon_sales1, + tue_sales tue_sales1, + wed_sales wed_sales1, + thu_sales thu_sales1, + fri_sales fri_sales1, + sat_sales sat_sales1 + FROM wswscs, + date_dim + WHERE date_dim.d_week_seq = wswscs.d_week_seq + AND d_year = 1998) y, + (SELECT wswscs.d_week_seq d_week_seq2, + sun_sales sun_sales2, + mon_sales mon_sales2, + tue_sales tue_sales2, + wed_sales wed_sales2, + thu_sales thu_sales2, + fri_sales fri_sales2, + sat_sales sat_sales2 + FROM wswscs, + date_dim + WHERE date_dim.d_week_seq = wswscs.d_week_seq + AND d_year = 1998 + 1) z +WHERE d_week_seq1 = d_week_seq2 - 53 +ORDER BY d_week_seq1; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query20.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query20.sql new file mode 100644 index 000000000..3c73340ea --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query20.sql @@ -0,0 +1,30 @@ +-- start query 20 in stream 0 using template query20.tpl +SELECT + i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + Sum(cs_ext_sales_price) AS itemrevenue , + Sum(cs_ext_sales_price)*100/Sum(Sum(cs_ext_sales_price)) OVER (partition BY i_class) AS revenueratio +FROM catalog_sales , + item , + date_dim +WHERE cs_item_sk = i_item_sk +AND i_category IN ('Children', + 'Women', + 'Electronics') +AND cs_sold_date_sk = d_date_sk +AND d_date BETWEEN Cast('2001-02-03' AS DATE) AND ( + Cast('2001-02-03' AS DATE) + INTERVAL '30' day) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query21.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query21.sql new file mode 100644 index 000000000..1811226a8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query21.sql @@ -0,0 +1,38 @@ +-- start query 21 in stream 0 using template query21.tpl +SELECT + * +FROM ( + SELECT w_warehouse_name , + i_item_id , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) < Cast ('2000-05-13' AS DATE)) THEN inv_quantity_on_hand + ELSE 0 + END) AS inv_before , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) >= Cast ('2000-05-13' AS DATE)) THEN inv_quantity_on_hand + ELSE 0 + END) AS inv_after + FROM inventory , + warehouse , + item , + date_dim + WHERE i_current_price BETWEEN 0.99 AND 1.49 + AND i_item_sk = inv_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_date BETWEEN (Cast ('2000-05-13' AS DATE) - INTERVAL '30' day) AND ( + cast ('2000-05-13' AS date) + INTERVAL '30' day) + GROUP BY w_warehouse_name, + i_item_id) x +WHERE ( + CASE + WHEN inv_before > 0 THEN inv_after / inv_before + ELSE NULL + END) BETWEEN 2.0/3.0 AND 3.0/2.0 +ORDER BY w_warehouse_name , + i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query22.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query22.sql new file mode 100644 index 000000000..707fc7c85 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query22.sql @@ -0,0 +1,21 @@ +-- start query 22 in stream 0 using template query22.tpl +SELECT i_product_name, + i_brand, + i_class, + i_category, + Avg(inv_quantity_on_hand) qoh +FROM inventory, + date_dim, + item, + warehouse +WHERE inv_date_sk = d_date_sk + AND inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND d_month_seq BETWEEN 1205 AND 1205 + 11 +GROUP BY rollup( i_product_name, i_brand, i_class, i_category ) +ORDER BY qoh, + i_product_name, + i_brand, + i_class, + i_category +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query23.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query23.sql new file mode 100644 index 000000000..66ffc4412 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query23.sql @@ -0,0 +1,136 @@ +-- start query 23 in stream 0 using template query23.tpl +WITH frequent_ss_items + AS (SELECT Substr(i_item_desc, 1, 30) itemdesc, + i_item_sk item_sk, + d_date solddate, + Count(*) cnt + FROM store_sales, + date_dim, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY Substr(i_item_desc, 1, 30), + i_item_sk, + d_date + HAVING Count(*) > 4), + max_store_sales + AS (SELECT Max(csales) tpcds_cmax + FROM (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) csales + FROM store_sales, + customer, + date_dim + WHERE ss_customer_sk = c_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY c_customer_sk)), + best_ss_customer + AS (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) ssales + FROM store_sales, + customer + WHERE ss_customer_sk = c_customer_sk + GROUP BY c_customer_sk + HAVING Sum(ss_quantity * ss_sales_price) > + ( 95 / 100.0 ) * (SELECT * + FROM max_store_sales)) +SELECT Sum(sales) +FROM (SELECT cs_quantity * cs_list_price sales + FROM catalog_sales, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND cs_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer) + UNION ALL + SELECT ws_quantity * ws_list_price sales + FROM web_sales, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND ws_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer)) LIMIT 100; + +WITH frequent_ss_items + AS (SELECT Substr(i_item_desc, 1, 30) itemdesc, + i_item_sk item_sk, + d_date solddate, + Count(*) cnt + FROM store_sales, + date_dim, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY Substr(i_item_desc, 1, 30), + i_item_sk, + d_date + HAVING Count(*) > 4), + max_store_sales + AS (SELECT Max(csales) tpcds_cmax + FROM (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) csales + FROM store_sales, + customer, + date_dim + WHERE ss_customer_sk = c_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY c_customer_sk)), + best_ss_customer + AS (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) ssales + FROM store_sales, + customer + WHERE ss_customer_sk = c_customer_sk + GROUP BY c_customer_sk + HAVING Sum(ss_quantity * ss_sales_price) > + ( 95 / 100.0 ) * (SELECT * + FROM max_store_sales)) +SELECT c_last_name, + c_first_name, + sales +FROM (SELECT c_last_name, + c_first_name, + Sum(cs_quantity * cs_list_price) sales + FROM catalog_sales, + customer, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND cs_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer) + AND cs_bill_customer_sk = c_customer_sk + GROUP BY c_last_name, + c_first_name + UNION ALL + SELECT c_last_name, + c_first_name, + Sum(ws_quantity * ws_list_price) sales + FROM web_sales, + customer, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND ws_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer) + AND ws_bill_customer_sk = c_customer_sk + GROUP BY c_last_name, + c_first_name) +ORDER BY c_last_name, + c_first_name, + sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query24.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query24.sql new file mode 100644 index 000000000..8382ca81d --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query24.sql @@ -0,0 +1,96 @@ +-- start query 24 in stream 0 using template query24.tpl +WITH ssales + AS (SELECT c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size, + Sum(ss_net_profit) netpaid + FROM store_sales, + store_returns, + store, + item, + customer, + customer_address + WHERE ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_customer_sk = c_customer_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND c_birth_country = Upper(ca_country) + AND s_zip = ca_zip + AND s_market_id = 6 + GROUP BY c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size) +SELECT c_last_name, + c_first_name, + s_store_name, + Sum(netpaid) paid +FROM ssales +WHERE i_color = 'papaya' +GROUP BY c_last_name, + c_first_name, + s_store_name +HAVING Sum(netpaid) > (SELECT 0.05 * Avg(netpaid) + FROM ssales); + +WITH ssales + AS (SELECT c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size, + Sum(ss_net_profit) netpaid + FROM store_sales, + store_returns, + store, + item, + customer, + customer_address + WHERE ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_customer_sk = c_customer_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND c_birth_country = Upper(ca_country) + AND s_zip = ca_zip + AND s_market_id = 6 + GROUP BY c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size) +SELECT c_last_name, + c_first_name, + s_store_name, + Sum(netpaid) paid +FROM ssales +WHERE i_color = 'chartreuse' +GROUP BY c_last_name, + c_first_name, + s_store_name +HAVING Sum(netpaid) > (SELECT 0.05 * Avg(netpaid) + FROM ssales); diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query25.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query25.sql new file mode 100644 index 000000000..fe58702f6 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query25.sql @@ -0,0 +1,41 @@ +-- start query 25 in stream 0 using template query25.tpl +SELECT i_item_id, + i_item_desc, + s_store_id, + s_store_name, + Max(ss_net_profit) AS store_sales_profit, + Max(sr_net_loss) AS store_returns_loss, + Max(cs_net_profit) AS catalog_sales_profit +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_moy = 4 + AND d1.d_year = 2001 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_moy BETWEEN 4 AND 10 + AND d2.d_year = 2001 + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_moy BETWEEN 4 AND 10 + AND d3.d_year = 2001 +GROUP BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +ORDER BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query26.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query26.sql new file mode 100644 index 000000000..d4818a37b --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query26.sql @@ -0,0 +1,24 @@ +-- start query 26 in stream 0 using template query26.tpl +SELECT i_item_id, + Avg(cs_quantity) agg1, + Avg(cs_list_price) agg2, + Avg(cs_coupon_amt) agg3, + Avg(cs_sales_price) agg4 +FROM catalog_sales, + customer_demographics, + date_dim, + item, + promotion +WHERE cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk + AND cs_bill_cdemo_sk = cd_demo_sk + AND cs_promo_sk = p_promo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = 'Secondary' + AND ( p_channel_email = 'N' + OR p_channel_event = 'N' ) + AND d_year = 2000 +GROUP BY i_item_id +ORDER BY i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query27.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query27.sql new file mode 100644 index 000000000..98fe056e5 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query27.sql @@ -0,0 +1,27 @@ +-- start query 27 in stream 0 using template query27.tpl +SELECT i_item_id, + s_state, + Grouping(s_state) g_state, + Avg(ss_quantity) agg1, + Avg(ss_list_price) agg2, + Avg(ss_coupon_amt) agg3, + Avg(ss_sales_price) agg4 +FROM store_sales, + customer_demographics, + date_dim, + store, + item +WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND ss_cdemo_sk = cd_demo_sk + AND cd_gender = 'M' + AND cd_marital_status = 'D' + AND cd_education_status = 'College' + AND d_year = 2000 + AND s_state IN ( 'TN', 'TN', 'TN', 'TN', + 'TN', 'TN' ) +GROUP BY rollup ( i_item_id, s_state ) +ORDER BY i_item_id, + s_state +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query28.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query28.sql new file mode 100644 index 000000000..3aa74a9d9 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query28.sql @@ -0,0 +1,51 @@ +-- start query 28 in stream 0 using template query28.tpl +SELECT * +FROM (SELECT Avg(ss_list_price) B1_LP, + Count(ss_list_price) B1_CNT, + Count(DISTINCT ss_list_price) B1_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 0 AND 5 + AND ( ss_list_price BETWEEN 18 AND 18 + 10 + OR ss_coupon_amt BETWEEN 1939 AND 1939 + 1000 + OR ss_wholesale_cost BETWEEN 34 AND 34 + 20 )) B1, + (SELECT Avg(ss_list_price) B2_LP, + Count(ss_list_price) B2_CNT, + Count(DISTINCT ss_list_price) B2_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 6 AND 10 + AND ( ss_list_price BETWEEN 1 AND 1 + 10 + OR ss_coupon_amt BETWEEN 35 AND 35 + 1000 + OR ss_wholesale_cost BETWEEN 50 AND 50 + 20 )) B2, + (SELECT Avg(ss_list_price) B3_LP, + Count(ss_list_price) B3_CNT, + Count(DISTINCT ss_list_price) B3_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 11 AND 15 + AND ( ss_list_price BETWEEN 91 AND 91 + 10 + OR ss_coupon_amt BETWEEN 1412 AND 1412 + 1000 + OR ss_wholesale_cost BETWEEN 17 AND 17 + 20 )) B3, + (SELECT Avg(ss_list_price) B4_LP, + Count(ss_list_price) B4_CNT, + Count(DISTINCT ss_list_price) B4_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 16 AND 20 + AND ( ss_list_price BETWEEN 9 AND 9 + 10 + OR ss_coupon_amt BETWEEN 5270 AND 5270 + 1000 + OR ss_wholesale_cost BETWEEN 29 AND 29 + 20 )) B4, + (SELECT Avg(ss_list_price) B5_LP, + Count(ss_list_price) B5_CNT, + Count(DISTINCT ss_list_price) B5_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 25 + AND ( ss_list_price BETWEEN 45 AND 45 + 10 + OR ss_coupon_amt BETWEEN 826 AND 826 + 1000 + OR ss_wholesale_cost BETWEEN 5 AND 5 + 20 )) B5, + (SELECT Avg(ss_list_price) B6_LP, + Count(ss_list_price) B6_CNT, + Count(DISTINCT ss_list_price) B6_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 26 AND 30 + AND ( ss_list_price BETWEEN 174 AND 174 + 10 + OR ss_coupon_amt BETWEEN 5548 AND 5548 + 1000 + OR ss_wholesale_cost BETWEEN 42 AND 42 + 20 )) B6 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query29.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query29.sql new file mode 100644 index 000000000..b685e6179 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query29.sql @@ -0,0 +1,40 @@ +-- start query 29 in stream 0 using template query29.tpl +SELECT i_item_id, + i_item_desc, + s_store_id, + s_store_name, + Avg(ss_quantity) AS store_sales_quantity, + Avg(sr_return_quantity) AS store_returns_quantity, + Avg(cs_quantity) AS catalog_sales_quantity +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_moy = 4 + AND d1.d_year = 1998 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_moy BETWEEN 4 AND 4 + 3 + AND d2.d_year = 1998 + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_year IN ( 1998, 1998 + 1, 1998 + 2 ) +GROUP BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +ORDER BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query3.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query3.sql new file mode 100644 index 000000000..711b0fe7c --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query3.sql @@ -0,0 +1,19 @@ +-- start query 3 in stream 0 using template query3.tpl +SELECT dt.d_year, + item.i_brand_id brand_id, + item.i_brand brand, + Sum(ss_ext_discount_amt) sum_agg +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manufact_id = 427 + AND dt.d_moy = 11 +GROUP BY dt.d_year, + item.i_brand, + item.i_brand_id +ORDER BY dt.d_year, + sum_agg DESC, + brand_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query30.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query30.sql new file mode 100644 index 000000000..4b0498f72 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query30.sql @@ -0,0 +1,49 @@ +-- start query 30 in stream 0 using template query30.tpl +WITH customer_total_return + AS (SELECT wr_returning_customer_sk AS ctr_customer_sk, + ca_state AS ctr_state, + Sum(wr_return_amt) AS ctr_total_return + FROM web_returns, + date_dim, + customer_address + WHERE wr_returned_date_sk = d_date_sk + AND d_year = 2000 + AND wr_returning_addr_sk = ca_address_sk + GROUP BY wr_returning_customer_sk, + ca_state) +SELECT c_customer_id, + c_salutation, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_day, + c_birth_month, + c_birth_year, + c_birth_country, + c_login, + c_email_address, + c_last_review_date, + ctr_total_return +FROM customer_total_return ctr1, + customer_address, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_state = ctr2.ctr_state) + AND ca_address_sk = c_current_addr_sk + AND ca_state = 'IN' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id, + c_salutation, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_day, + c_birth_month, + c_birth_year, + c_birth_country, + c_login, + c_email_address, + c_last_review_date, + ctr_total_return +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query31.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query31.sql new file mode 100644 index 000000000..8ab3ffb41 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query31.sql @@ -0,0 +1,73 @@ +-- start query 31 in stream 0 using template query31.tpl +WITH ss + AS (SELECT ca_county, + d_qoy, + d_year, + Sum(ss_ext_sales_price) AS store_sales + FROM store_sales, + date_dim, + customer_address + WHERE ss_sold_date_sk = d_date_sk + AND ss_addr_sk = ca_address_sk + GROUP BY ca_county, + d_qoy, + d_year), + ws + AS (SELECT ca_county, + d_qoy, + d_year, + Sum(ws_ext_sales_price) AS web_sales + FROM web_sales, + date_dim, + customer_address + WHERE ws_sold_date_sk = d_date_sk + AND ws_bill_addr_sk = ca_address_sk + GROUP BY ca_county, + d_qoy, + d_year) +SELECT ss1.ca_county, + ss1.d_year, + ws2.web_sales / ws1.web_sales web_q1_q2_increase, + ss2.store_sales / ss1.store_sales store_q1_q2_increase, + ws3.web_sales / ws2.web_sales web_q2_q3_increase, + ss3.store_sales / ss2.store_sales store_q2_q3_increase +FROM ss ss1, + ss ss2, + ss ss3, + ws ws1, + ws ws2, + ws ws3 +WHERE ss1.d_qoy = 1 + AND ss1.d_year = 2001 + AND ss1.ca_county = ss2.ca_county + AND ss2.d_qoy = 2 + AND ss2.d_year = 2001 + AND ss2.ca_county = ss3.ca_county + AND ss3.d_qoy = 3 + AND ss3.d_year = 2001 + AND ss1.ca_county = ws1.ca_county + AND ws1.d_qoy = 1 + AND ws1.d_year = 2001 + AND ws1.ca_county = ws2.ca_county + AND ws2.d_qoy = 2 + AND ws2.d_year = 2001 + AND ws1.ca_county = ws3.ca_county + AND ws3.d_qoy = 3 + AND ws3.d_year = 2001 + AND CASE + WHEN ws1.web_sales > 0 THEN ws2.web_sales / ws1.web_sales + ELSE NULL + END > CASE + WHEN ss1.store_sales > 0 THEN + ss2.store_sales / ss1.store_sales + ELSE NULL + END + AND CASE + WHEN ws2.web_sales > 0 THEN ws3.web_sales / ws2.web_sales + ELSE NULL + END > CASE + WHEN ss2.store_sales > 0 THEN + ss3.store_sales / ss2.store_sales + ELSE NULL + END +ORDER BY ss1.d_year; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query32.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query32.sql new file mode 100644 index 000000000..22b66886a --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query32.sql @@ -0,0 +1,21 @@ +-- start query 32 in stream 0 using template query32.tpl +SELECT + Sum(cs_ext_discount_amt) AS "excess discount amount" +FROM catalog_sales , + item , + date_dim +WHERE i_manufact_id = 610 +AND i_item_sk = cs_item_sk +AND d_date BETWEEN '2001-03-04' AND ( + Cast('2001-03-04' AS DATE) + INTERVAL '90' day) +AND d_date_sk = cs_sold_date_sk +AND cs_ext_discount_amt > + ( + SELECT 1.3 * avg(cs_ext_discount_amt) + FROM catalog_sales , + date_dim + WHERE cs_item_sk = i_item_sk + AND d_date BETWEEN '2001-03-04' AND ( + cast('2001-03-04' AS date) + INTERVAL '90' day) + AND d_date_sk = cs_sold_date_sk ) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query33.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query33.sql new file mode 100644 index 000000000..c4161054a --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query33.sql @@ -0,0 +1,65 @@ +-- start query 33 in stream 0 using template query33.tpl +WITH ss + AS (SELECT i_manufact_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id), + cs + AS (SELECT i_manufact_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id), + ws + AS (SELECT i_manufact_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id) +SELECT i_manufact_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_manufact_id +ORDER BY total_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query34.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query34.sql new file mode 100644 index 000000000..613734ffa --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query34.sql @@ -0,0 +1,46 @@ +-- start query 34 in stream 0 using template query34.tpl +SELECT c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag, + ss_ticket_number, + cnt +FROM (SELECT ss_ticket_number, + ss_customer_sk, + Count(*) cnt + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND ( date_dim.d_dom BETWEEN 1 AND 3 + OR date_dim.d_dom BETWEEN 25 AND 28 ) + AND ( household_demographics.hd_buy_potential = '>10000' + OR household_demographics.hd_buy_potential = 'unknown' ) + AND household_demographics.hd_vehicle_count > 0 + AND ( CASE + WHEN household_demographics.hd_vehicle_count > 0 THEN + household_demographics.hd_dep_count / + household_demographics.hd_vehicle_count + ELSE NULL + END ) > 1.2 + AND date_dim.d_year IN ( 1999, 1999 + 1, 1999 + 2 ) + AND store.s_county IN ( 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + , + 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + ) + GROUP BY ss_ticket_number, + ss_customer_sk) dn, + customer +WHERE ss_customer_sk = c_customer_sk + AND cnt BETWEEN 15 AND 20 +ORDER BY c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag DESC; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query35.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query35.sql new file mode 100644 index 000000000..d5912a411 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query35.sql @@ -0,0 +1,58 @@ +-- start query 35 in stream 0 using template query35.tpl +SELECT ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + Count(*) cnt1, + Stddev_samp(cd_dep_count), + Avg(cd_dep_count), + Max(cd_dep_count), + cd_dep_employed_count, + Count(*) cnt2, + Stddev_samp(cd_dep_employed_count), + Avg(cd_dep_employed_count), + Max(cd_dep_employed_count), + cd_dep_college_count, + Count(*) cnt3, + Stddev_samp(cd_dep_college_count), + Avg(cd_dep_college_count), + Max(cd_dep_college_count) +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) + AND ( EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) + OR EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) ) +GROUP BY ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +ORDER BY ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query36.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query36.sql new file mode 100644 index 000000000..21d69fbbb --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query36.sql @@ -0,0 +1,31 @@ +-- start query 36 in stream 0 using template query36.tpl +SELECT Sum(ss_net_profit) / Sum(ss_ext_sales_price) AS + gross_margin, + i_category, + i_class, + Grouping(i_category) + Grouping(i_class) AS + lochierarchy, + Rank() + OVER ( + partition BY Grouping(i_category)+Grouping(i_class), CASE + WHEN Grouping( + i_class) = 0 THEN i_category END + ORDER BY Sum(ss_net_profit)/Sum(ss_ext_sales_price) ASC) AS + rank_within_parent +FROM store_sales, + date_dim d1, + item, + store +WHERE d1.d_year = 2000 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND s_state IN ( 'TN', 'TN', 'TN', 'TN', + 'TN', 'TN', 'TN', 'TN' ) +GROUP BY rollup( i_category, i_class ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN i_category + END, + rank_within_parent +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query37.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query37.sql new file mode 100644 index 000000000..52cd153a9 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query37.sql @@ -0,0 +1,22 @@ +-- start query 37 in stream 0 using template query37.tpl +SELECT + i_item_id , + i_item_desc , + i_current_price +FROM item, + inventory, + date_dim, + catalog_sales +WHERE i_current_price BETWEEN 20 AND 20 + 30 +AND inv_item_sk = i_item_sk +AND d_date_sk=inv_date_sk +AND d_date BETWEEN Cast('1999-03-06' AS DATE) AND ( + Cast('1999-03-06' AS DATE) + INTERVAL '60' day) +AND i_manufact_id IN (843,815,850,840) +AND inv_quantity_on_hand BETWEEN 100 AND 500 +AND cs_item_sk = i_item_sk +GROUP BY i_item_id, + i_item_desc, + i_current_price +ORDER BY i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query38.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query38.sql new file mode 100644 index 000000000..546068717 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query38.sql @@ -0,0 +1,32 @@ +-- start query 38 in stream 0 using template query38.tpl +SELECT Count(*) +FROM (SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM store_sales, + date_dim, + customer + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11 + INTERSECT + SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM catalog_sales, + date_dim, + customer + WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11 + INTERSECT + SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM web_sales, + date_dim, + customer + WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk + AND web_sales.ws_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11) hot_cust +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query39.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query39.sql new file mode 100644 index 000000000..4abb67d30 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query39.sql @@ -0,0 +1,117 @@ +-- start query 39 in stream 0 using template query39.tpl +WITH inv + AS (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + stdev, + mean, + CASE mean + WHEN 0 THEN NULL + ELSE stdev / mean + END cov + FROM (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + Stddev_samp(inv_quantity_on_hand) stdev, + Avg(inv_quantity_on_hand) mean + FROM inventory, + item, + warehouse, + date_dim + WHERE inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_year = 2002 + GROUP BY w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy) foo + WHERE CASE mean + WHEN 0 THEN 0 + ELSE stdev / mean + END > 1) +SELECT inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.w_warehouse_sk, + inv2.i_item_sk, + inv2.d_moy, + inv2.mean, + inv2.cov +FROM inv inv1, + inv inv2 +WHERE inv1.i_item_sk = inv2.i_item_sk + AND inv1.w_warehouse_sk = inv2.w_warehouse_sk + AND inv1.d_moy = 1 + AND inv2.d_moy = 1 + 1 +ORDER BY inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.d_moy, + inv2.mean, + inv2.cov; + +WITH inv + AS (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + stdev, + mean, + CASE mean + WHEN 0 THEN NULL + ELSE stdev / mean + END cov + FROM (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + Stddev_samp(inv_quantity_on_hand) stdev, + Avg(inv_quantity_on_hand) mean + FROM inventory, + item, + warehouse, + date_dim + WHERE inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_year = 2002 + GROUP BY w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy) foo + WHERE CASE mean + WHEN 0 THEN 0 + ELSE stdev / mean + END > 1) +SELECT inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.w_warehouse_sk, + inv2.i_item_sk, + inv2.d_moy, + inv2.mean, + inv2.cov +FROM inv inv1, + inv inv2 +WHERE inv1.i_item_sk = inv2.i_item_sk + AND inv1.w_warehouse_sk = inv2.w_warehouse_sk + AND inv1.d_moy = 1 + AND inv2.d_moy = 1 + 1 + AND inv1.cov > 1.5 +ORDER BY inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.d_moy, + inv2.mean, + inv2.cov; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query4.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query4.sql new file mode 100644 index 000000000..281b2d5d2 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query4.sql @@ -0,0 +1,152 @@ +-- start query 4 in stream 0 using template query4.tpl +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address customer_email_address, + d_year dyear, + Sum(( ( ss_ext_list_price - ss_ext_wholesale_cost + - ss_ext_discount_amt + ) + + + ss_ext_sales_price ) / 2) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag, + c_birth_country customer_birth_country + , + c_login + customer_login, + c_email_address customer_email_address + , + d_year dyear + , + Sum(( ( ( cs_ext_list_price + - cs_ext_wholesale_cost + - cs_ext_discount_amt + ) + + cs_ext_sales_price ) / 2 )) year_total, + 'c' sale_type + FROM customer, + catalog_sales, + date_dim + WHERE c_customer_sk = cs_bill_customer_sk + AND cs_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag, + c_birth_country customer_birth_country + , + c_login + customer_login, + c_email_address customer_email_address + , + d_year dyear + , + Sum(( ( ( ws_ext_list_price + - ws_ext_wholesale_cost + - ws_ext_discount_amt + ) + + ws_ext_sales_price ) / 2 )) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_preferred_cust_flag +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_c_firstyear, + year_total t_c_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_c_secyear.customer_id + AND t_s_firstyear.customer_id = t_c_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_c_firstyear.sale_type = 'c' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_c_secyear.sale_type = 'c' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.dyear = 2001 + AND t_s_secyear.dyear = 2001 + 1 + AND t_c_firstyear.dyear = 2001 + AND t_c_secyear.dyear = 2001 + 1 + AND t_w_firstyear.dyear = 2001 + AND t_w_secyear.dyear = 2001 + 1 + AND t_s_firstyear.year_total > 0 + AND t_c_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / + t_c_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE NULL + END + AND CASE + WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / + t_c_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_w_firstyear.year_total > 0 THEN + t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE NULL + END +ORDER BY t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_preferred_cust_flag +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query40.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query40.sql new file mode 100644 index 000000000..f7f84b873 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query40.sql @@ -0,0 +1,35 @@ +-- start query 40 in stream 0 using template query40.tpl +SELECT + w_state , + i_item_id , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) < Cast ('2002-06-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash,0) + ELSE 0 + END) AS sales_before , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) >= Cast ('2002-06-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash,0) + ELSE 0 + END) AS sales_after +FROM catalog_sales +LEFT OUTER JOIN catalog_returns +ON ( + cs_order_number = cr_order_number + AND cs_item_sk = cr_item_sk) , + warehouse , + item , + date_dim +WHERE i_current_price BETWEEN 0.99 AND 1.49 +AND i_item_sk = cs_item_sk +AND cs_warehouse_sk = w_warehouse_sk +AND cs_sold_date_sk = d_date_sk +AND d_date BETWEEN (Cast ('2002-06-01' AS DATE) - INTERVAL '30' day) AND ( + cast ('2002-06-01' AS date) + INTERVAL '30' day) +GROUP BY w_state, + i_item_id +ORDER BY w_state, + i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query41.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query41.sql new file mode 100644 index 000000000..467ed35ae --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query41.sql @@ -0,0 +1,66 @@ +-- start query 41 in stream 0 using template query41.tpl +SELECT Distinct(i_product_name) +FROM item i1 +WHERE i_manufact_id BETWEEN 765 AND 765 + 40 + AND (SELECT Count(*) AS item_cnt + FROM item + WHERE ( i_manufact = i1.i_manufact + AND ( ( i_category = 'Women' + AND ( i_color = 'dim' + OR i_color = 'green' ) + AND ( i_units = 'Gross' + OR i_units = 'Dozen' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) + OR ( i_category = 'Women' + AND ( i_color = 'navajo' + OR i_color = 'aquamarine' ) + AND ( i_units = 'Case' + OR i_units = 'Unknown' ) + AND ( i_size = 'large' + OR i_size = 'N/A' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'indian' + OR i_color = 'dark' ) + AND ( i_units = 'Oz' + OR i_units = 'Lb' ) + AND ( i_size = 'extra large' + OR i_size = 'small' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'peach' + OR i_color = 'purple' ) + AND ( i_units = 'Tbl' + OR i_units = 'Bunch' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) ) ) + OR ( i_manufact = i1.i_manufact + AND ( ( i_category = 'Women' + AND ( i_color = 'orchid' + OR i_color = 'peru' ) + AND ( i_units = 'Carton' + OR i_units = 'Cup' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) + OR ( i_category = 'Women' + AND ( i_color = 'violet' + OR i_color = 'papaya' ) + AND ( i_units = 'Ounce' + OR i_units = 'Box' ) + AND ( i_size = 'large' + OR i_size = 'N/A' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'drab' + OR i_color = 'grey' ) + AND ( i_units = 'Each' + OR i_units = 'N/A' ) + AND ( i_size = 'extra large' + OR i_size = 'small' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'chocolate' + OR i_color = 'antique' ) + AND ( i_units = 'Dram' + OR i_units = 'Gram' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) ) )) > 0 +ORDER BY i_product_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query42.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query42.sql new file mode 100644 index 000000000..706d3c6f1 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query42.sql @@ -0,0 +1,21 @@ +-- start query 42 in stream 0 using template query42.tpl +SELECT dt.d_year, + item.i_category_id, + item.i_category, + Sum(ss_ext_sales_price) +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manager_id = 1 + AND dt.d_moy = 12 + AND dt.d_year = 2000 +GROUP BY dt.d_year, + item.i_category_id, + item.i_category +ORDER BY Sum(ss_ext_sales_price) DESC, + dt.d_year, + item.i_category_id, + item.i_category +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query43.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query43.sql new file mode 100644 index 000000000..e7624a19c --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query43.sql @@ -0,0 +1,50 @@ +-- start query 43 in stream 0 using template query43.tpl +SELECT s_store_name, + s_store_id, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN ss_sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN ss_sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN ss_sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN ss_sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN ss_sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN ss_sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN ss_sales_price + ELSE NULL + END) sat_sales +FROM date_dim, + store_sales, + store +WHERE d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + AND s_gmt_offset = -5 + AND d_year = 2002 +GROUP BY s_store_name, + s_store_id +ORDER BY s_store_name, + s_store_id, + sun_sales, + mon_sales, + tue_sales, + wed_sales, + thu_sales, + fri_sales, + sat_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query44.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query44.sql new file mode 100644 index 000000000..ba869d3ce --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query44.sql @@ -0,0 +1,51 @@ +-- start query 44 in stream 0 using template query44.tpl +SELECT asceding.rnk, + i1.i_product_name best_performing, + i2.i_product_name worst_performing +FROM (SELECT * + FROM (SELECT item_sk, + Rank() + OVER ( + ORDER BY rank_col ASC) rnk + FROM (SELECT ss_item_sk item_sk, + Avg(ss_net_profit) rank_col + FROM store_sales ss1 + WHERE ss_store_sk = 4 + GROUP BY ss_item_sk + HAVING Avg(ss_net_profit) > 0.9 * + (SELECT Avg(ss_net_profit) + rank_col + FROM store_sales + WHERE ss_store_sk = 4 + AND ss_cdemo_sk IS + NULL + GROUP BY ss_store_sk))V1) + V11 + WHERE rnk < 11) asceding, + (SELECT * + FROM (SELECT item_sk, + Rank() + OVER ( + ORDER BY rank_col DESC) rnk + FROM (SELECT ss_item_sk item_sk, + Avg(ss_net_profit) rank_col + FROM store_sales ss1 + WHERE ss_store_sk = 4 + GROUP BY ss_item_sk + HAVING Avg(ss_net_profit) > 0.9 * + (SELECT Avg(ss_net_profit) + rank_col + FROM store_sales + WHERE ss_store_sk = 4 + AND ss_cdemo_sk IS + NULL + GROUP BY ss_store_sk))V2) + V21 + WHERE rnk < 11) descending, + item i1, + item i2 +WHERE asceding.rnk = descending.rnk + AND i1.i_item_sk = asceding.item_sk + AND i2.i_item_sk = descending.item_sk +ORDER BY asceding.rnk +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query45.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query45.sql new file mode 100644 index 000000000..e8d35c1c0 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query45.sql @@ -0,0 +1,28 @@ +-- start query 45 in stream 0 using template query45.tpl +SELECT ca_zip, + ca_state, + Sum(ws_sales_price) +FROM web_sales, + customer, + customer_address, + date_dim, + item +WHERE ws_bill_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND ws_item_sk = i_item_sk + AND ( Substr(ca_zip, 1, 5) IN ( '85669', '86197', '88274', '83405', + '86475', '85392', '85460', '80348', + '81792' ) + OR i_item_id IN (SELECT i_item_id + FROM item + WHERE i_item_sk IN ( 2, 3, 5, 7, + 11, 13, 17, 19, + 23, 29 )) ) + AND ws_sold_date_sk = d_date_sk + AND d_qoy = 1 + AND d_year = 2000 +GROUP BY ca_zip, + ca_state +ORDER BY ca_zip, + ca_state +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query46.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query46.sql new file mode 100644 index 000000000..b88b36400 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query46.sql @@ -0,0 +1,44 @@ +-- start query 46 in stream 0 using template query46.tpl +SELECT c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number, + amt, + profit +FROM (SELECT ss_ticket_number, + ss_customer_sk, + ca_city bought_city, + Sum(ss_coupon_amt) amt, + Sum(ss_net_profit) profit + FROM store_sales, + date_dim, + store, + household_demographics, + customer_address + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND store_sales.ss_addr_sk = customer_address.ca_address_sk + AND ( household_demographics.hd_dep_count = 6 + OR household_demographics.hd_vehicle_count = 0 ) + AND date_dim.d_dow IN ( 6, 0 ) + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_city IN ( 'Midway', 'Fairview', 'Fairview', + 'Fairview', + 'Fairview' ) + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + ca_city) dn, + customer, + customer_address current_addr +WHERE ss_customer_sk = c_customer_sk + AND customer.c_current_addr_sk = current_addr.ca_address_sk + AND current_addr.ca_city <> bought_city +ORDER BY c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query47.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query47.sql new file mode 100644 index 000000000..36ddcbbcb --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query47.sql @@ -0,0 +1,72 @@ +-- start query 47 in stream 0 using template query47.tpl +WITH v1 + AS (SELECT i_category, + i_brand, + s_store_name, + s_company_name, + d_year, + d_moy, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_category, i_brand, s_store_name, + s_company_name, + d_year) + avg_monthly_sales, + Rank() + OVER ( + partition BY i_category, i_brand, s_store_name, + s_company_name + ORDER BY d_year, d_moy) rn + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ( d_year = 1999 + OR ( d_year = 1999 - 1 + AND d_moy = 12 ) + OR ( d_year = 1999 + 1 + AND d_moy = 1 ) ) + GROUP BY i_category, + i_brand, + s_store_name, + s_company_name, + d_year, + d_moy), + v2 + AS (SELECT v1.i_category, + v1.d_year, + v1.d_moy, + v1.avg_monthly_sales, + v1.sum_sales, + v1_lag.sum_sales psum, + v1_lead.sum_sales nsum + FROM v1, + v1 v1_lag, + v1 v1_lead + WHERE v1.i_category = v1_lag.i_category + AND v1.i_category = v1_lead.i_category + AND v1.i_brand = v1_lag.i_brand + AND v1.i_brand = v1_lead.i_brand + AND v1.s_store_name = v1_lag.s_store_name + AND v1.s_store_name = v1_lead.s_store_name + AND v1.s_company_name = v1_lag.s_company_name + AND v1.s_company_name = v1_lead.s_company_name + AND v1.rn = v1_lag.rn + 1 + AND v1.rn = v1_lead.rn - 1) +SELECT * +FROM v2 +WHERE d_year = 1999 + AND avg_monthly_sales > 0 + AND CASE + WHEN avg_monthly_sales > 0 THEN Abs(sum_sales - avg_monthly_sales) + / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + 3 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query48.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query48.sql new file mode 100644 index 000000000..aa8375382 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query48.sql @@ -0,0 +1,34 @@ +-- start query 48 in stream 0 using template query48.tpl +SELECT Sum (ss_quantity) +FROM store_sales, + store, + customer_demographics, + customer_address, + date_dim +WHERE s_store_sk = ss_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND ( ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'W' + AND cd_education_status = 'Secondary' + AND ss_sales_price BETWEEN 100.00 AND 150.00 ) + OR ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'M' + AND cd_education_status = 'Advanced Degree' + AND ss_sales_price BETWEEN 50.00 AND 100.00 ) + OR ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'D' + AND cd_education_status = '2 yr Degree' + AND ss_sales_price BETWEEN 150.00 AND 200.00 ) ) + AND ( ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'TX', 'NE', 'MO' ) + AND ss_net_profit BETWEEN 0 AND 2000 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'CO', 'TN', 'ND' ) + AND ss_net_profit BETWEEN 150 AND 3000 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'OK', 'PA', 'CA' ) + AND ss_net_profit BETWEEN 50 AND 25000 ) ); diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query49.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query49.sql new file mode 100644 index 000000000..bade54bc0 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query49.sql @@ -0,0 +1,133 @@ +-- start query 49 in stream 0 using template query49.tpl +SELECT 'web' AS channel, + web.item, + web.return_ratio, + web.return_rank, + web.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT ws.ws_item_sk AS + item, + ( Cast(Sum(COALESCE(wr.wr_return_quantity, 0)) AS DEC(15, + 4)) / + Cast( + Sum(COALESCE(ws.ws_quantity, 0)) AS DEC(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(wr.wr_return_amt, 0)) AS DEC(15, 4)) + / Cast( + Sum( + COALESCE(ws.ws_net_paid, 0)) AS DEC(15, + 4)) ) AS + currency_ratio + FROM web_sales ws + LEFT OUTER JOIN web_returns wr + ON ( ws.ws_order_number = wr.wr_order_number + AND ws.ws_item_sk = wr.wr_item_sk ), + date_dim + WHERE wr.wr_return_amt > 10000 + AND ws.ws_net_profit > 1 + AND ws.ws_net_paid > 0 + AND ws.ws_quantity > 0 + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY ws.ws_item_sk) in_web) web +WHERE ( web.return_rank <= 10 + OR web.currency_rank <= 10 ) +UNION +SELECT 'catalog' AS channel, + catalog.item, + catalog.return_ratio, + catalog.return_rank, + catalog.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT cs.cs_item_sk AS + item, + ( Cast(Sum(COALESCE(cr.cr_return_quantity, 0)) AS DEC(15, + 4)) / + Cast( + Sum(COALESCE(cs.cs_quantity, 0)) AS DEC(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(cr.cr_return_amount, 0)) AS DEC(15, 4 + )) / + Cast(Sum( + COALESCE(cs.cs_net_paid, 0)) AS DEC( + 15, 4)) ) AS + currency_ratio + FROM catalog_sales cs + LEFT OUTER JOIN catalog_returns cr + ON ( cs.cs_order_number = cr.cr_order_number + AND cs.cs_item_sk = cr.cr_item_sk ), + date_dim + WHERE cr.cr_return_amount > 10000 + AND cs.cs_net_profit > 1 + AND cs.cs_net_paid > 0 + AND cs.cs_quantity > 0 + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY cs.cs_item_sk) in_cat) catalog +WHERE ( catalog.return_rank <= 10 + OR catalog.currency_rank <= 10 ) +UNION +SELECT 'store' AS channel, + store.item, + store.return_ratio, + store.return_rank, + store.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT sts.ss_item_sk AS + item, + ( Cast(Sum(COALESCE(sr.sr_return_quantity, 0)) AS DEC(15, + 4)) / + Cast( + Sum(COALESCE(sts.ss_quantity, 0)) AS DEC(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(sr.sr_return_amt, 0)) AS DEC(15, 4)) + / Cast( + Sum( + COALESCE(sts.ss_net_paid, 0)) AS DEC(15, 4)) ) AS + currency_ratio + FROM store_sales sts + LEFT OUTER JOIN store_returns sr + ON ( sts.ss_ticket_number = + sr.sr_ticket_number + AND sts.ss_item_sk = sr.sr_item_sk ), + date_dim + WHERE sr.sr_return_amt > 10000 + AND sts.ss_net_profit > 1 + AND sts.ss_net_paid > 0 + AND sts.ss_quantity > 0 + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY sts.ss_item_sk) in_store) store +WHERE ( store.return_rank <= 10 + OR store.currency_rank <= 10 ) +ORDER BY 1, + 4, + 5 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query5.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query5.sql new file mode 100644 index 000000000..0c03b0ddc --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query5.sql @@ -0,0 +1,127 @@ +-- start query 5 in stream 0 using template query5.tpl +WITH ssr AS +( + SELECT s_store_id, + Sum(sales_price) AS sales, + Sum(profit) AS profit, + Sum(return_amt) AS returns1, + Sum(net_loss) AS profit_loss + FROM ( + SELECT ss_store_sk AS store_sk, + ss_sold_date_sk AS date_sk, + ss_ext_sales_price AS sales_price, + ss_net_profit AS profit, + Cast(0 AS DECIMAL(7,2)) AS return_amt, + Cast(0 AS DECIMAL(7,2)) AS net_loss + FROM store_sales + UNION ALL + SELECT sr_store_sk AS store_sk, + sr_returned_date_sk AS date_sk, + Cast(0 AS DECIMAL(7,2)) AS sales_price, + Cast(0 AS DECIMAL(7,2)) AS profit, + sr_return_amt AS return_amt, + sr_net_loss AS net_loss + FROM store_returns ) salesreturns, + date_dim, + store + WHERE date_sk = d_date_sk + AND d_date BETWEEN Cast('2002-08-22' AS DATE) AND ( + Cast('2002-08-22' AS DATE) + INTERVAL '14' day) + AND store_sk = s_store_sk + GROUP BY s_store_id) , csr AS +( + SELECT cp_catalog_page_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS returns1, + sum(net_loss) AS profit_loss + FROM ( + SELECT cs_catalog_page_sk AS page_sk, + cs_sold_date_sk AS date_sk, + cs_ext_sales_price AS sales_price, + cs_net_profit AS profit, + cast(0 AS decimal(7,2)) AS return_amt, + cast(0 AS decimal(7,2)) AS net_loss + FROM catalog_sales + UNION ALL + SELECT cr_catalog_page_sk AS page_sk, + cr_returned_date_sk AS date_sk, + cast(0 AS decimal(7,2)) AS sales_price, + cast(0 AS decimal(7,2)) AS profit, + cr_return_amount AS return_amt, + cr_net_loss AS net_loss + FROM catalog_returns ) salesreturns, + date_dim, + catalog_page + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('2002-08-22' AS date) AND ( + cast('2002-08-22' AS date) + INTERVAL '14' day) + AND page_sk = cp_catalog_page_sk + GROUP BY cp_catalog_page_id) , wsr AS +( + SELECT web_site_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS returns1, + sum(net_loss) AS profit_loss + FROM ( + SELECT ws_web_site_sk AS wsr_web_site_sk, + ws_sold_date_sk AS date_sk, + ws_ext_sales_price AS sales_price, + ws_net_profit AS profit, + cast(0 AS decimal(7,2)) AS return_amt, + cast(0 AS decimal(7,2)) AS net_loss + FROM web_sales + UNION ALL + SELECT ws_web_site_sk AS wsr_web_site_sk, + wr_returned_date_sk AS date_sk, + cast(0 AS decimal(7,2)) AS sales_price, + cast(0 AS decimal(7,2)) AS profit, + wr_return_amt AS return_amt, + wr_net_loss AS net_loss + FROM web_returns + LEFT OUTER JOIN web_sales + ON ( + wr_item_sk = ws_item_sk + AND wr_order_number = ws_order_number) ) salesreturns, + date_dim, + web_site + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('2002-08-22' AS date) AND ( + cast('2002-08-22' AS date) + INTERVAL '14' day) + AND wsr_web_site_sk = web_site_sk + GROUP BY web_site_id) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + 'store' + || s_store_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM ssr + UNION ALL + SELECT 'catalog channel' AS channel , + 'catalog_page' + || cp_catalog_page_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM csr + UNION ALL + SELECT 'web channel' AS channel , + 'web_site' + || web_site_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM wsr ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query50.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query50.sql new file mode 100644 index 000000000..a4c108469 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query50.sql @@ -0,0 +1,71 @@ +-- start query 50 in stream 0 using template query50.tpl +SELECT s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip, + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS "30 days", + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 30 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 60 ) + THEN 1 + ELSE 0 + END) AS "31-60 days", + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 60 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 90 ) + THEN 1 + ELSE 0 + END) AS "61-90 days", + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 90 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 120 ) + THEN 1 + ELSE 0 + END) AS "91-120 days", + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM store_sales, + store_returns, + store, + date_dim d1, + date_dim d2 +WHERE d2.d_year = 2002 + AND d2.d_moy = 9 + AND ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND sr_returned_date_sk = d2.d_date_sk + AND ss_customer_sk = sr_customer_sk + AND ss_store_sk = s_store_sk +GROUP BY s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip +ORDER BY s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query51.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query51.sql new file mode 100644 index 000000000..2c73e7d60 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query51.sql @@ -0,0 +1,54 @@ +-- start query 51 in stream 0 using template query51.tpl +WITH web_v1 AS +( + SELECT ws_item_sk item_sk, + d_date, + sum(Sum(ws_sales_price)) OVER (partition BY ws_item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) cume_sales + FROM web_sales , + date_dim + WHERE ws_sold_date_sk=d_date_sk + AND d_month_seq BETWEEN 1192 AND 1192+11 + AND ws_item_sk IS NOT NULL + GROUP BY ws_item_sk, + d_date), store_v1 AS +( + SELECT ss_item_sk item_sk, + d_date, + sum(sum(ss_sales_price)) OVER (partition BY ss_item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) cume_sales + FROM store_sales , + date_dim + WHERE ss_sold_date_sk=d_date_sk + AND d_month_seq BETWEEN 1192 AND 1192+11 + AND ss_item_sk IS NOT NULL + GROUP BY ss_item_sk, + d_date) +SELECT + * +FROM ( + SELECT item_sk , + d_date , + web_sales , + store_sales , + max(web_sales) OVER (partition BY item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) web_cumulative , + max(store_sales) OVER (partition BY item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) store_cumulative + FROM ( + SELECT + CASE + WHEN web.item_sk IS NOT NULL THEN web.item_sk + ELSE store.item_sk + END item_sk , + CASE + WHEN web.d_date IS NOT NULL THEN web.d_date + ELSE store.d_date + END d_date , + web.cume_sales web_sales , + store.cume_sales store_sales + FROM web_v1 web + FULL OUTER JOIN store_v1 store + ON ( + web.item_sk = store.item_sk + AND web.d_date = store.d_date) )x )y +WHERE web_cumulative > store_cumulative +ORDER BY item_sk , + d_date +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query52.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query52.sql new file mode 100644 index 000000000..065f3f169 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query52.sql @@ -0,0 +1,20 @@ +-- start query 52 in stream 0 using template query52.tpl +SELECT dt.d_year, + item.i_brand_id brand_id, + item.i_brand brand, + Sum(ss_ext_sales_price) ext_price +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manager_id = 1 + AND dt.d_moy = 11 + AND dt.d_year = 1999 +GROUP BY dt.d_year, + item.i_brand, + item.i_brand_id +ORDER BY dt.d_year, + ext_price DESC, + brand_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query53.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query53.sql new file mode 100644 index 000000000..4c0452a32 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query53.sql @@ -0,0 +1,46 @@ +-- start query 53 in stream 0 using template query53.tpl +SELECT * +FROM (SELECT i_manufact_id, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_manufact_id) avg_quarterly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_month_seq IN ( 1199, 1199 + 1, 1199 + 2, 1199 + 3, + 1199 + 4, 1199 + 5, 1199 + 6, 1199 + 7, + 1199 + 8, 1199 + 9, 1199 + 10, 1199 + 11 ) + AND ( ( i_category IN ( 'Books', 'Children', 'Electronics' ) + AND i_class IN ( 'personal', 'portable', 'reference', + 'self-help' ) + AND i_brand IN ( 'scholaramalgamalg #14', + 'scholaramalgamalg #7' + , + 'exportiunivamalg #9', + 'scholaramalgamalg #9' ) + ) + OR ( i_category IN ( 'Women', 'Music', 'Men' ) + AND i_class IN ( 'accessories', 'classical', + 'fragrances', + 'pants' ) + AND i_brand IN ( 'amalgimporto #1', + 'edu packscholar #1', + 'exportiimporto #1', + 'importoamalg #1' ) ) ) + GROUP BY i_manufact_id, + d_qoy) tmp1 +WHERE CASE + WHEN avg_quarterly_sales > 0 THEN Abs (sum_sales - avg_quarterly_sales) + / + avg_quarterly_sales + ELSE NULL + END > 0.1 +ORDER BY avg_quarterly_sales, + sum_sales, + i_manufact_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query54.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query54.sql new file mode 100644 index 000000000..b776c9590 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query54.sql @@ -0,0 +1,57 @@ +-- start query 54 in stream 0 using template query54.tpl +WITH my_customers + AS (SELECT DISTINCT c_customer_sk, + c_current_addr_sk + FROM (SELECT cs_sold_date_sk sold_date_sk, + cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + FROM catalog_sales + UNION ALL + SELECT ws_sold_date_sk sold_date_sk, + ws_bill_customer_sk customer_sk, + ws_item_sk item_sk + FROM web_sales) cs_or_ws_sales, + item, + date_dim, + customer + WHERE sold_date_sk = d_date_sk + AND item_sk = i_item_sk + AND i_category = 'Sports' + AND i_class = 'fitness' + AND c_customer_sk = cs_or_ws_sales.customer_sk + AND d_moy = 5 + AND d_year = 2000), + my_revenue + AS (SELECT c_customer_sk, + Sum(ss_ext_sales_price) AS revenue + FROM my_customers, + store_sales, + customer_address, + store, + date_dim + WHERE c_current_addr_sk = ca_address_sk + AND ca_county = s_county + AND ca_state = s_state + AND ss_sold_date_sk = d_date_sk + AND c_customer_sk = ss_customer_sk + AND d_month_seq BETWEEN (SELECT DISTINCT d_month_seq + 1 + FROM date_dim + WHERE d_year = 2000 + AND d_moy = 5) AND + (SELECT DISTINCT + d_month_seq + 3 + FROM date_dim + WHERE d_year = 2000 + AND d_moy = 5) + GROUP BY c_customer_sk), + segments + AS (SELECT Cast(( revenue / 50 ) AS INT) AS segment + FROM my_revenue) +SELECT segment, + Count(*) AS num_customers, + segment * 50 AS segment_base +FROM segments +GROUP BY segment +ORDER BY segment, + num_customers +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query55.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query55.sql new file mode 100644 index 000000000..37ed2563f --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query55.sql @@ -0,0 +1,17 @@ +-- start query 55 in stream 0 using template query55.tpl +SELECT i_brand_id brand_id, + i_brand brand, + Sum(ss_ext_sales_price) ext_price +FROM date_dim, + store_sales, + item +WHERE d_date_sk = ss_sold_date_sk + AND ss_item_sk = i_item_sk + AND i_manager_id = 33 + AND d_moy = 12 + AND d_year = 1998 +GROUP BY i_brand, + i_brand_id +ORDER BY ext_price DESC, + i_brand_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query56.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query56.sql new file mode 100644 index 000000000..7d2ad0629 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query56.sql @@ -0,0 +1,68 @@ +-- start query 56 in stream 0 using template query56.tpl +WITH ss + AS (SELECT i_item_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + cs + AS (SELECT i_item_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + ws + AS (SELECT i_item_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id) +SELECT i_item_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_item_id +ORDER BY total_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query57.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query57.sql new file mode 100644 index 000000000..5cb73bce4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query57.sql @@ -0,0 +1,66 @@ +-- start query 57 in stream 0 using template query57.tpl +WITH v1 + AS (SELECT i_category, + i_brand, + cc_name, + d_year, + d_moy, + Sum(cs_sales_price) sum_sales + , + Avg(Sum(cs_sales_price)) + OVER ( + partition BY i_category, i_brand, cc_name, d_year) + avg_monthly_sales + , + Rank() + OVER ( + partition BY i_category, i_brand, cc_name + ORDER BY d_year, d_moy) rn + FROM item, + catalog_sales, + date_dim, + call_center + WHERE cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND cc_call_center_sk = cs_call_center_sk + AND ( d_year = 2000 + OR ( d_year = 2000 - 1 + AND d_moy = 12 ) + OR ( d_year = 2000 + 1 + AND d_moy = 1 ) ) + GROUP BY i_category, + i_brand, + cc_name, + d_year, + d_moy), + v2 + AS (SELECT v1.i_brand, + v1.d_year, + v1.avg_monthly_sales, + v1.sum_sales, + v1_lag.sum_sales psum, + v1_lead.sum_sales nsum + FROM v1, + v1 v1_lag, + v1 v1_lead + WHERE v1.i_category = v1_lag.i_category + AND v1.i_category = v1_lead.i_category + AND v1.i_brand = v1_lag.i_brand + AND v1.i_brand = v1_lead.i_brand + AND v1. cc_name = v1_lag. cc_name + AND v1. cc_name = v1_lead. cc_name + AND v1.rn = v1_lag.rn + 1 + AND v1.rn = v1_lead.rn - 1) +SELECT * +FROM v2 +WHERE d_year = 2000 + AND avg_monthly_sales > 0 + AND CASE + WHEN avg_monthly_sales > 0 THEN Abs(sum_sales - avg_monthly_sales) + / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + 3 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query58.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query58.sql new file mode 100644 index 000000000..8611390de --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query58.sql @@ -0,0 +1,72 @@ +-- start query 58 in stream 0 using template query58.tpl +WITH ss_items + AS (SELECT i_item_id item_id, + Sum(ss_ext_sales_price) ss_item_rev + FROM store_sales, + item, + date_dim + WHERE ss_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_date = '2002-02-25' + )) + AND ss_sold_date_sk = d_date_sk + GROUP BY i_item_id), + cs_items + AS (SELECT i_item_id item_id, + Sum(cs_ext_sales_price) cs_item_rev + FROM catalog_sales, + item, + date_dim + WHERE cs_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_date = '2002-02-25' + )) + AND cs_sold_date_sk = d_date_sk + GROUP BY i_item_id), + ws_items + AS (SELECT i_item_id item_id, + Sum(ws_ext_sales_price) ws_item_rev + FROM web_sales, + item, + date_dim + WHERE ws_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_date = '2002-02-25' + )) + AND ws_sold_date_sk = d_date_sk + GROUP BY i_item_id) +SELECT ss_items.item_id, + ss_item_rev, + ss_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 * + 100 ss_dev, + cs_item_rev, + cs_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 * + 100 cs_dev, + ws_item_rev, + ws_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 * + 100 ws_dev, + ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 + average +FROM ss_items, + cs_items, + ws_items +WHERE ss_items.item_id = cs_items.item_id + AND ss_items.item_id = ws_items.item_id + AND ss_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev + AND ss_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev + AND cs_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev + AND cs_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev + AND ws_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev + AND ws_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev +ORDER BY item_id, + ss_item_rev +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query59.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query59.sql new file mode 100644 index 000000000..3caa54048 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query59.sql @@ -0,0 +1,85 @@ +-- start query 59 in stream 0 using template query59.tpl +WITH wss + AS (SELECT d_week_seq, + ss_store_sk, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN ss_sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN ss_sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN ss_sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN ss_sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN ss_sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN ss_sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN ss_sales_price + ELSE NULL + END) sat_sales + FROM store_sales, + date_dim + WHERE d_date_sk = ss_sold_date_sk + GROUP BY d_week_seq, + ss_store_sk) +SELECT s_store_name1, + s_store_id1, + d_week_seq1, + sun_sales1 / sun_sales2, + mon_sales1 / mon_sales2, + tue_sales1 / tue_sales2, + wed_sales1 / wed_sales2, + thu_sales1 / thu_sales2, + fri_sales1 / fri_sales2, + sat_sales1 / sat_sales2 +FROM (SELECT s_store_name s_store_name1, + wss.d_week_seq d_week_seq1, + s_store_id s_store_id1, + sun_sales sun_sales1, + mon_sales mon_sales1, + tue_sales tue_sales1, + wed_sales wed_sales1, + thu_sales thu_sales1, + fri_sales fri_sales1, + sat_sales sat_sales1 + FROM wss, + store, + date_dim d + WHERE d.d_week_seq = wss.d_week_seq + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11) y, + (SELECT s_store_name s_store_name2, + wss.d_week_seq d_week_seq2, + s_store_id s_store_id2, + sun_sales sun_sales2, + mon_sales mon_sales2, + tue_sales tue_sales2, + wed_sales wed_sales2, + thu_sales thu_sales2, + fri_sales fri_sales2, + sat_sales sat_sales2 + FROM wss, + store, + date_dim d + WHERE d.d_week_seq = wss.d_week_seq + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1196 + 12 AND 1196 + 23) x +WHERE s_store_id1 = s_store_id2 + AND d_week_seq1 = d_week_seq2 - 52 +ORDER BY s_store_name1, + s_store_id1, + d_week_seq1 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query6.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query6.sql new file mode 100644 index 000000000..1739ea575 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query6.sql @@ -0,0 +1,23 @@ +-- start query 6 in stream 0 using template query6.tpl +SELECT a.ca_state state, + Count(*) cnt +FROM customer_address a, + customer c, + store_sales s, + date_dim d, + item i +WHERE a.ca_address_sk = c.c_current_addr_sk + AND c.c_customer_sk = s.ss_customer_sk + AND s.ss_sold_date_sk = d.d_date_sk + AND s.ss_item_sk = i.i_item_sk + AND d.d_month_seq = (SELECT DISTINCT ( d_month_seq ) + FROM date_dim + WHERE d_year = 1998 + AND d_moy = 7) + AND i.i_current_price > 1.2 * (SELECT Avg(j.i_current_price) + FROM item j + WHERE j.i_category = i.i_category) +GROUP BY a.ca_state +HAVING Count(*) >= 10 +ORDER BY cnt +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query60.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query60.sql new file mode 100644 index 000000000..541108dea --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query60.sql @@ -0,0 +1,66 @@ +-- start query 60 in stream 0 using template query60.tpl +WITH ss + AS (SELECT i_item_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + cs + AS (SELECT i_item_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + ws + AS (SELECT i_item_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id) +SELECT i_item_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_item_id +ORDER BY i_item_id, + total_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query61.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query61.sql new file mode 100644 index 000000000..d6d50753c --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query61.sql @@ -0,0 +1,47 @@ +-- start query 61 in stream 0 using template query61.tpl +SELECT promotions, + total, + Cast(promotions AS DECIMAL(15, 4)) / + Cast(total AS DECIMAL(15, 4)) * 100 +FROM (SELECT Sum(ss_ext_sales_price) promotions + FROM store_sales, + store, + promotion, + date_dim, + customer, + customer_address, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ss_promo_sk = p_promo_sk + AND ss_customer_sk = c_customer_sk + AND ca_address_sk = c_current_addr_sk + AND ss_item_sk = i_item_sk + AND ca_gmt_offset = -7 + AND i_category = 'Books' + AND ( p_channel_dmail = 'Y' + OR p_channel_email = 'Y' + OR p_channel_tv = 'Y' ) + AND s_gmt_offset = -7 + AND d_year = 2001 + AND d_moy = 12) promotional_sales, + (SELECT Sum(ss_ext_sales_price) total + FROM store_sales, + store, + date_dim, + customer, + customer_address, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ss_customer_sk = c_customer_sk + AND ca_address_sk = c_current_addr_sk + AND ss_item_sk = i_item_sk + AND ca_gmt_offset = -7 + AND i_category = 'Books' + AND s_gmt_offset = -7 + AND d_year = 2001 + AND d_moy = 12) all_sales +ORDER BY promotions, + total +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query62.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query62.sql new file mode 100644 index 000000000..54df88ed2 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query62.sql @@ -0,0 +1,45 @@ +-- start query 62 in stream 0 using template query62.tpl +SELECT Substr(w_warehouse_name, 1, 20), + sm_type, + web_name, + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS "30 days", + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 30 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 60 ) THEN 1 + ELSE 0 + END) AS "31-60 days", + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 60 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 90 ) THEN 1 + ELSE 0 + END) AS "61-90 days", + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 90 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 120 ) THEN + 1 + ELSE 0 + END) AS "91-120 days", + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM web_sales, + warehouse, + ship_mode, + web_site, + date_dim +WHERE d_month_seq BETWEEN 1222 AND 1222 + 11 + AND ws_ship_date_sk = d_date_sk + AND ws_warehouse_sk = w_warehouse_sk + AND ws_ship_mode_sk = sm_ship_mode_sk + AND ws_web_site_sk = web_site_sk +GROUP BY Substr(w_warehouse_name, 1, 20), + sm_type, + web_name +ORDER BY Substr(w_warehouse_name, 1, 20), + sm_type, + web_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query63.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query63.sql new file mode 100644 index 000000000..8706bb492 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query63.sql @@ -0,0 +1,45 @@ +-- start query 63 in stream 0 using template query63.tpl +SELECT * +FROM (SELECT i_manager_id, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_manager_id) avg_monthly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_month_seq IN ( 1200, 1200 + 1, 1200 + 2, 1200 + 3, + 1200 + 4, 1200 + 5, 1200 + 6, 1200 + 7, + 1200 + 8, 1200 + 9, 1200 + 10, 1200 + 11 ) + AND ( ( i_category IN ( 'Books', 'Children', 'Electronics' ) + AND i_class IN ( 'personal', 'portable', 'reference', + 'self-help' ) + AND i_brand IN ( 'scholaramalgamalg #14', + 'scholaramalgamalg #7' + , + 'exportiunivamalg #9', + 'scholaramalgamalg #9' ) + ) + OR ( i_category IN ( 'Women', 'Music', 'Men' ) + AND i_class IN ( 'accessories', 'classical', + 'fragrances', + 'pants' ) + AND i_brand IN ( 'amalgimporto #1', + 'edu packscholar #1', + 'exportiimporto #1', + 'importoamalg #1' ) ) ) + GROUP BY i_manager_id, + d_moy) tmp1 +WHERE CASE + WHEN avg_monthly_sales > 0 THEN Abs (sum_sales - avg_monthly_sales) / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY i_manager_id, + avg_monthly_sales, + sum_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query64.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query64.sql new file mode 100644 index 000000000..0c5d1d3d8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query64.sql @@ -0,0 +1,122 @@ +-- start query 64 in stream 0 using template query64.tpl +WITH cs_ui + AS (SELECT cs_item_sk, + Sum(cs_ext_list_price) AS sale, + Sum(cr_refunded_cash + cr_reversed_charge + + cr_store_credit) AS refund + FROM catalog_sales, + catalog_returns + WHERE cs_item_sk = cr_item_sk + AND cs_order_number = cr_order_number + GROUP BY cs_item_sk + HAVING Sum(cs_ext_list_price) > 2 * Sum( + cr_refunded_cash + cr_reversed_charge + + cr_store_credit)), + cross_sales + AS (SELECT i_product_name product_name, + i_item_sk item_sk, + s_store_name store_name, + s_zip store_zip, + ad1.ca_street_number b_street_number, + ad1.ca_street_name b_streen_name, + ad1.ca_city b_city, + ad1.ca_zip b_zip, + ad2.ca_street_number c_street_number, + ad2.ca_street_name c_street_name, + ad2.ca_city c_city, + ad2.ca_zip c_zip, + d1.d_year AS syear, + d2.d_year AS fsyear, + d3.d_year s2year, + Count(*) cnt, + Sum(ss_wholesale_cost) s1, + Sum(ss_list_price) s2, + Sum(ss_coupon_amt) s3 + FROM store_sales, + store_returns, + cs_ui, + date_dim d1, + date_dim d2, + date_dim d3, + store, + customer, + customer_demographics cd1, + customer_demographics cd2, + promotion, + household_demographics hd1, + household_demographics hd2, + customer_address ad1, + customer_address ad2, + income_band ib1, + income_band ib2, + item + WHERE ss_store_sk = s_store_sk + AND ss_sold_date_sk = d1.d_date_sk + AND ss_customer_sk = c_customer_sk + AND ss_cdemo_sk = cd1.cd_demo_sk + AND ss_hdemo_sk = hd1.hd_demo_sk + AND ss_addr_sk = ad1.ca_address_sk + AND ss_item_sk = i_item_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND ss_item_sk = cs_ui.cs_item_sk + AND c_current_cdemo_sk = cd2.cd_demo_sk + AND c_current_hdemo_sk = hd2.hd_demo_sk + AND c_current_addr_sk = ad2.ca_address_sk + AND c_first_sales_date_sk = d2.d_date_sk + AND c_first_shipto_date_sk = d3.d_date_sk + AND ss_promo_sk = p_promo_sk + AND hd1.hd_income_band_sk = ib1.ib_income_band_sk + AND hd2.hd_income_band_sk = ib2.ib_income_band_sk + AND cd1.cd_marital_status <> cd2.cd_marital_status + AND i_color IN ( 'cyan', 'peach', 'blush', 'frosted', + 'powder', 'orange' ) + AND i_current_price BETWEEN 58 AND 58 + 10 + AND i_current_price BETWEEN 58 + 1 AND 58 + 15 + GROUP BY i_product_name, + i_item_sk, + s_store_name, + s_zip, + ad1.ca_street_number, + ad1.ca_street_name, + ad1.ca_city, + ad1.ca_zip, + ad2.ca_street_number, + ad2.ca_street_name, + ad2.ca_city, + ad2.ca_zip, + d1.d_year, + d2.d_year, + d3.d_year) +SELECT cs1.product_name, + cs1.store_name, + cs1.store_zip, + cs1.b_street_number, + cs1.b_streen_name, + cs1.b_city, + cs1.b_zip, + cs1.c_street_number, + cs1.c_street_name, + cs1.c_city, + cs1.c_zip, + cs1.syear, + cs1.cnt, + cs1.s1, + cs1.s2, + cs1.s3, + cs2.s1, + cs2.s2, + cs2.s3, + cs2.syear, + cs2.cnt +FROM cross_sales cs1, + cross_sales cs2 +WHERE cs1.item_sk = cs2.item_sk + AND cs1.syear = 2001 + AND cs2.syear = 2001 + 1 + AND cs2.cnt <= cs1.cnt + AND cs1.store_name = cs2.store_name + AND cs1.store_zip = cs2.store_zip +ORDER BY cs1.product_name, + cs1.store_name, + cs2.cnt; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query65.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query65.sql new file mode 100644 index 000000000..399f128c3 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query65.sql @@ -0,0 +1,37 @@ +-- start query 65 in stream 0 using template query65.tpl +SELECT s_store_name, + i_item_desc, + sc.revenue, + i_current_price, + i_wholesale_cost, + i_brand +FROM store, + item, + (SELECT ss_store_sk, + Avg(revenue) AS ave + FROM (SELECT ss_store_sk, + ss_item_sk, + Sum(ss_sales_price) AS revenue + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1199 AND 1199 + 11 + GROUP BY ss_store_sk, + ss_item_sk) sa + GROUP BY ss_store_sk) sb, + (SELECT ss_store_sk, + ss_item_sk, + Sum(ss_sales_price) AS revenue + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1199 AND 1199 + 11 + GROUP BY ss_store_sk, + ss_item_sk) sc +WHERE sb.ss_store_sk = sc.ss_store_sk + AND sc.revenue <= 0.1 * sb.ave + AND s_store_sk = sc.ss_store_sk + AND i_item_sk = sc.ss_item_sk +ORDER BY s_store_name, + i_item_desc +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query66.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query66.sql new file mode 100644 index 000000000..79446555f --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query66.sql @@ -0,0 +1,306 @@ +-- start query 66 in stream 0 using template query66.tpl +SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + ship_carriers, + year1, + Sum(jan_sales) AS jan_sales, + Sum(feb_sales) AS feb_sales, + Sum(mar_sales) AS mar_sales, + Sum(apr_sales) AS apr_sales, + Sum(may_sales) AS may_sales, + Sum(jun_sales) AS jun_sales, + Sum(jul_sales) AS jul_sales, + Sum(aug_sales) AS aug_sales, + Sum(sep_sales) AS sep_sales, + Sum(oct_sales) AS oct_sales, + Sum(nov_sales) AS nov_sales, + Sum(dec_sales) AS dec_sales, + Sum(jan_sales / w_warehouse_sq_ft) AS jan_sales_per_sq_foot, + Sum(feb_sales / w_warehouse_sq_ft) AS feb_sales_per_sq_foot, + Sum(mar_sales / w_warehouse_sq_ft) AS mar_sales_per_sq_foot, + Sum(apr_sales / w_warehouse_sq_ft) AS apr_sales_per_sq_foot, + Sum(may_sales / w_warehouse_sq_ft) AS may_sales_per_sq_foot, + Sum(jun_sales / w_warehouse_sq_ft) AS jun_sales_per_sq_foot, + Sum(jul_sales / w_warehouse_sq_ft) AS jul_sales_per_sq_foot, + Sum(aug_sales / w_warehouse_sq_ft) AS aug_sales_per_sq_foot, + Sum(sep_sales / w_warehouse_sq_ft) AS sep_sales_per_sq_foot, + Sum(oct_sales / w_warehouse_sq_ft) AS oct_sales_per_sq_foot, + Sum(nov_sales / w_warehouse_sq_ft) AS nov_sales_per_sq_foot, + Sum(dec_sales / w_warehouse_sq_ft) AS dec_sales_per_sq_foot, + Sum(jan_net) AS jan_net, + Sum(feb_net) AS feb_net, + Sum(mar_net) AS mar_net, + Sum(apr_net) AS apr_net, + Sum(may_net) AS may_net, + Sum(jun_net) AS jun_net, + Sum(jul_net) AS jul_net, + Sum(aug_net) AS aug_net, + Sum(sep_net) AS sep_net, + Sum(oct_net) AS oct_net, + Sum(nov_net) AS nov_net, + Sum(dec_net) AS dec_net +FROM (SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + 'ZOUROS' + || ',' + || 'ZHOU' AS ship_carriers, + d_year AS year1, + Sum(CASE + WHEN d_moy = 1 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jan_sales, + Sum(CASE + WHEN d_moy = 2 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS feb_sales, + Sum(CASE + WHEN d_moy = 3 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS mar_sales, + Sum(CASE + WHEN d_moy = 4 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS apr_sales, + Sum(CASE + WHEN d_moy = 5 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS may_sales, + Sum(CASE + WHEN d_moy = 6 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jun_sales, + Sum(CASE + WHEN d_moy = 7 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jul_sales, + Sum(CASE + WHEN d_moy = 8 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS aug_sales, + Sum(CASE + WHEN d_moy = 9 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS sep_sales, + Sum(CASE + WHEN d_moy = 10 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS oct_sales, + Sum(CASE + WHEN d_moy = 11 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS nov_sales, + Sum(CASE + WHEN d_moy = 12 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS dec_sales, + Sum(CASE + WHEN d_moy = 1 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jan_net, + Sum(CASE + WHEN d_moy = 2 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS feb_net, + Sum(CASE + WHEN d_moy = 3 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS mar_net, + Sum(CASE + WHEN d_moy = 4 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS apr_net, + Sum(CASE + WHEN d_moy = 5 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS may_net, + Sum(CASE + WHEN d_moy = 6 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jun_net, + Sum(CASE + WHEN d_moy = 7 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jul_net, + Sum(CASE + WHEN d_moy = 8 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS aug_net, + Sum(CASE + WHEN d_moy = 9 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS sep_net, + Sum(CASE + WHEN d_moy = 10 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS oct_net, + Sum(CASE + WHEN d_moy = 11 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS nov_net, + Sum(CASE + WHEN d_moy = 12 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS dec_net + FROM web_sales, + warehouse, + date_dim, + time_dim, + ship_mode + WHERE ws_warehouse_sk = w_warehouse_sk + AND ws_sold_date_sk = d_date_sk + AND ws_sold_time_sk = t_time_sk + AND ws_ship_mode_sk = sm_ship_mode_sk + AND d_year = 1998 + AND t_time BETWEEN 7249 AND 7249 + 28800 + AND sm_carrier IN ( 'ZOUROS', 'ZHOU' ) + GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + d_year + UNION ALL + SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + 'ZOUROS' + || ',' + || 'ZHOU' AS ship_carriers, + d_year AS year1, + Sum(CASE + WHEN d_moy = 1 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jan_sales, + Sum(CASE + WHEN d_moy = 2 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS feb_sales, + Sum(CASE + WHEN d_moy = 3 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS mar_sales, + Sum(CASE + WHEN d_moy = 4 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS apr_sales, + Sum(CASE + WHEN d_moy = 5 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS may_sales, + Sum(CASE + WHEN d_moy = 6 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jun_sales, + Sum(CASE + WHEN d_moy = 7 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jul_sales, + Sum(CASE + WHEN d_moy = 8 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS aug_sales, + Sum(CASE + WHEN d_moy = 9 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS sep_sales, + Sum(CASE + WHEN d_moy = 10 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS oct_sales, + Sum(CASE + WHEN d_moy = 11 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS nov_sales, + Sum(CASE + WHEN d_moy = 12 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS dec_sales, + Sum(CASE + WHEN d_moy = 1 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jan_net, + Sum(CASE + WHEN d_moy = 2 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS feb_net, + Sum(CASE + WHEN d_moy = 3 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS mar_net, + Sum(CASE + WHEN d_moy = 4 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS apr_net, + Sum(CASE + WHEN d_moy = 5 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS may_net, + Sum(CASE + WHEN d_moy = 6 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jun_net, + Sum(CASE + WHEN d_moy = 7 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jul_net, + Sum(CASE + WHEN d_moy = 8 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS aug_net, + Sum(CASE + WHEN d_moy = 9 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS sep_net, + Sum(CASE + WHEN d_moy = 10 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS oct_net, + Sum(CASE + WHEN d_moy = 11 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS nov_net, + Sum(CASE + WHEN d_moy = 12 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS dec_net + FROM catalog_sales, + warehouse, + date_dim, + time_dim, + ship_mode + WHERE cs_warehouse_sk = w_warehouse_sk + AND cs_sold_date_sk = d_date_sk + AND cs_sold_time_sk = t_time_sk + AND cs_ship_mode_sk = sm_ship_mode_sk + AND d_year = 1998 + AND t_time BETWEEN 7249 AND 7249 + 28800 + AND sm_carrier IN ( 'ZOUROS', 'ZHOU' ) + GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + d_year) x +GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + ship_carriers, + year1 +ORDER BY w_warehouse_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query67.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query67.sql new file mode 100644 index 000000000..18c39edb5 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query67.sql @@ -0,0 +1,43 @@ +-- start query 67 in stream 0 using template query67.tpl +select * +from (select i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sumsales + ,rank() over (partition by i_category order by sumsales desc) rk + from (select i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales + from store_sales + ,date_dim + ,store + ,item + where ss_sold_date_sk=d_date_sk + and ss_item_sk=i_item_sk + and ss_store_sk = s_store_sk + and d_month_seq between 1181 and 1181+11 + group by rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2 +where rk <= 100 +order by i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sumsales + ,rk +limit 100 +; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query68.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query68.sql new file mode 100644 index 000000000..f943603f8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query68.sql @@ -0,0 +1,41 @@ +-- start query 68 in stream 0 using template query68.tpl +SELECT c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number, + extended_price, + extended_tax, + list_price +FROM (SELECT ss_ticket_number, + ss_customer_sk, + ca_city bought_city, + Sum(ss_ext_sales_price) extended_price, + Sum(ss_ext_list_price) list_price, + Sum(ss_ext_tax) extended_tax + FROM store_sales, + date_dim, + store, + household_demographics, + customer_address + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND store_sales.ss_addr_sk = customer_address.ca_address_sk + AND date_dim.d_dom BETWEEN 1 AND 2 + AND ( household_demographics.hd_dep_count = 8 + OR household_demographics.hd_vehicle_count = 3 ) + AND date_dim.d_year IN ( 1998, 1998 + 1, 1998 + 2 ) + AND store.s_city IN ( 'Fairview', 'Midway' ) + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + ca_city) dn, + customer, + customer_address current_addr +WHERE ss_customer_sk = c_customer_sk + AND customer.c_current_addr_sk = current_addr.ca_address_sk + AND current_addr.ca_city <> bought_city +ORDER BY c_last_name, + ss_ticket_number +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query69.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query69.sql new file mode 100644 index 000000000..e22094bd8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query69.sql @@ -0,0 +1,46 @@ +SELECT cd_gender, + cd_marital_status, + cd_education_status, + Count(*) cnt1, + cd_purchase_estimate, + Count(*) cnt2, + cd_credit_rating, + Count(*) cnt3 +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND ca_state IN ( 'KS', 'AZ', 'NE' ) + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) + AND ( NOT EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) + AND NOT EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) ) +GROUP BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating +ORDER BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query7.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query7.sql new file mode 100644 index 000000000..6e28b46c8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query7.sql @@ -0,0 +1,24 @@ +-- start query 7 in stream 0 using template query7.tpl +SELECT i_item_id, + Avg(ss_quantity) agg1, + Avg(ss_list_price) agg2, + Avg(ss_coupon_amt) agg3, + Avg(ss_sales_price) agg4 +FROM store_sales, + customer_demographics, + date_dim, + item, + promotion +WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND ss_cdemo_sk = cd_demo_sk + AND ss_promo_sk = p_promo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = '2 yr Degree' + AND ( p_channel_email = 'N' + OR p_channel_event = 'N' ) + AND d_year = 1998 +GROUP BY i_item_id +ORDER BY i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query70.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query70.sql new file mode 100644 index 000000000..34c5e0656 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query70.sql @@ -0,0 +1,40 @@ +-- start query 70 in stream 0 using template query70.tpl +SELECT Sum(ss_net_profit) AS total_sum, + s_state, + s_county, + Grouping(s_state) + Grouping(s_county) AS lochierarchy, + Rank() + OVER ( + partition BY Grouping(s_state)+Grouping(s_county), CASE WHEN + Grouping( + s_county) = 0 THEN s_state END + ORDER BY Sum(ss_net_profit) DESC) AS rank_within_parent +FROM store_sales, + date_dim d1, + store +WHERE d1.d_month_seq BETWEEN 1200 AND 1200 + 11 + AND d1.d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + AND s_state IN (SELECT s_state + FROM (SELECT s_state AS + s_state, + Rank() + OVER ( + partition BY s_state + ORDER BY Sum(ss_net_profit) DESC) AS + ranking + FROM store_sales, + store, + date_dim + WHERE d_month_seq BETWEEN 1200 AND 1200 + 11 + AND d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + GROUP BY s_state) tmp1 + WHERE ranking <= 5) +GROUP BY rollup( s_state, s_county ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN s_state + END, + rank_within_parent +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query71.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query71.sql new file mode 100644 index 000000000..42075471e --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query71.sql @@ -0,0 +1,48 @@ +-- start query 71 in stream 0 using template query71.tpl +SELECT i_brand_id brand_id, + i_brand brand, + t_hour, + t_minute, + Sum(ext_price) ext_price +FROM item, + (SELECT ws_ext_sales_price AS ext_price, + ws_sold_date_sk AS sold_date_sk, + ws_item_sk AS sold_item_sk, + ws_sold_time_sk AS time_sk + FROM web_sales, + date_dim + WHERE d_date_sk = ws_sold_date_sk + AND d_moy = 11 + AND d_year = 2001 + UNION ALL + SELECT cs_ext_sales_price AS ext_price, + cs_sold_date_sk AS sold_date_sk, + cs_item_sk AS sold_item_sk, + cs_sold_time_sk AS time_sk + FROM catalog_sales, + date_dim + WHERE d_date_sk = cs_sold_date_sk + AND d_moy = 11 + AND d_year = 2001 + UNION ALL + SELECT ss_ext_sales_price AS ext_price, + ss_sold_date_sk AS sold_date_sk, + ss_item_sk AS sold_item_sk, + ss_sold_time_sk AS time_sk + FROM store_sales, + date_dim + WHERE d_date_sk = ss_sold_date_sk + AND d_moy = 11 + AND d_year = 2001) AS tmp, + time_dim +WHERE sold_item_sk = i_item_sk + AND i_manager_id = 1 + AND time_sk = t_time_sk + AND ( t_meal_time = 'breakfast' + OR t_meal_time = 'dinner' ) +GROUP BY i_brand, + i_brand_id, + t_hour, + t_minute +ORDER BY ext_price DESC, + i_brand_id; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query72.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query72.sql new file mode 100644 index 000000000..e0e082cb4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query72.sql @@ -0,0 +1,49 @@ +-- start query 72 in stream 0 using template query72.tpl +SELECT i_item_desc, + w_warehouse_name, + d1.d_week_seq, + Sum(CASE + WHEN p_promo_sk IS NULL THEN 1 + ELSE 0 + END) no_promo, + Sum(CASE + WHEN p_promo_sk IS NOT NULL THEN 1 + ELSE 0 + END) promo, + Count(*) total_cnt +FROM catalog_sales + JOIN inventory + ON ( cs_item_sk = inv_item_sk ) + JOIN warehouse + ON ( w_warehouse_sk = inv_warehouse_sk ) + JOIN item + ON ( i_item_sk = cs_item_sk ) + JOIN customer_demographics + ON ( cs_bill_cdemo_sk = cd_demo_sk ) + JOIN household_demographics + ON ( cs_bill_hdemo_sk = hd_demo_sk ) + JOIN date_dim d1 + ON ( cs_sold_date_sk = d1.d_date_sk ) + JOIN date_dim d2 + ON ( inv_date_sk = d2.d_date_sk ) + JOIN date_dim d3 + ON ( cs_ship_date_sk = d3.d_date_sk ) + LEFT OUTER JOIN promotion + ON ( cs_promo_sk = p_promo_sk ) + LEFT OUTER JOIN catalog_returns + ON ( cr_item_sk = cs_item_sk + AND cr_order_number = cs_order_number ) +WHERE d1.d_week_seq = d2.d_week_seq + AND inv_quantity_on_hand < cs_quantity + AND d3.d_date > d1.d_date + INTERVAL '5' day + AND hd_buy_potential = '501-1000' + AND d1.d_year = 2002 + AND cd_marital_status = 'M' +GROUP BY i_item_desc, + w_warehouse_name, + d1.d_week_seq +ORDER BY total_cnt DESC, + i_item_desc, + w_warehouse_name, + d_week_seq +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query73.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query73.sql new file mode 100644 index 000000000..d56d682c3 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query73.sql @@ -0,0 +1,39 @@ +-- start query 73 in stream 0 using template query73.tpl +SELECT c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag, + ss_ticket_number, + cnt +FROM (SELECT ss_ticket_number, + ss_customer_sk, + Count(*) cnt + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND date_dim.d_dom BETWEEN 1 AND 2 + AND ( household_demographics.hd_buy_potential = '>10000' + OR household_demographics.hd_buy_potential = '0-500' ) + AND household_demographics.hd_vehicle_count > 0 + AND CASE + WHEN household_demographics.hd_vehicle_count > 0 THEN + household_demographics.hd_dep_count / + household_demographics.hd_vehicle_count + ELSE NULL + END > 1 + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_county IN ( 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + ) + GROUP BY ss_ticket_number, + ss_customer_sk) dj, + customer +WHERE ss_customer_sk = c_customer_sk + AND cnt BETWEEN 1 AND 5 +ORDER BY cnt DESC, + c_last_name ASC; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query74.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query74.sql new file mode 100644 index 000000000..f8d781f79 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query74.sql @@ -0,0 +1,69 @@ +-- start query 74 in stream 0 using template query74.tpl +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + d_year AS year1, + Sum(ss_net_paid) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN ( 1999, 1999 + 1 ) + GROUP BY c_customer_id, + c_first_name, + c_last_name, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + d_year AS year1, + Sum(ws_net_paid) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year IN ( 1999, 1999 + 1 ) + GROUP BY c_customer_id, + c_first_name, + c_last_name, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.year1 = 1999 + AND t_s_secyear.year1 = 1999 + 1 + AND t_w_firstyear.year1 = 1999 + AND t_w_secyear.year1 = 1999 + 1 + AND t_s_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE NULL + END +ORDER BY 1, + 2, + 3 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query75.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query75.sql new file mode 100644 index 000000000..25d1ccbd4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query75.sql @@ -0,0 +1,93 @@ +-- start query 75 in stream 0 using template query75.tpl +WITH all_sales + AS (SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + Sum(sales_cnt) AS sales_cnt, + Sum(sales_amt) AS sales_amt + FROM (SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + cs_quantity - COALESCE(cr_return_quantity, 0) AS + sales_cnt, + cs_ext_sales_price - COALESCE(cr_return_amount, 0.0) AS + sales_amt + FROM catalog_sales + JOIN item + ON i_item_sk = cs_item_sk + JOIN date_dim + ON d_date_sk = cs_sold_date_sk + LEFT JOIN catalog_returns + ON ( cs_order_number = cr_order_number + AND cs_item_sk = cr_item_sk ) + WHERE i_category = 'Men' + UNION + SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + ss_quantity - COALESCE(sr_return_quantity, 0) AS + sales_cnt, + ss_ext_sales_price - COALESCE(sr_return_amt, 0.0) AS + sales_amt + FROM store_sales + JOIN item + ON i_item_sk = ss_item_sk + JOIN date_dim + ON d_date_sk = ss_sold_date_sk + LEFT JOIN store_returns + ON ( ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk ) + WHERE i_category = 'Men' + UNION + SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + ws_quantity - COALESCE(wr_return_quantity, 0) AS + sales_cnt, + ws_ext_sales_price - COALESCE(wr_return_amt, 0.0) AS + sales_amt + FROM web_sales + JOIN item + ON i_item_sk = ws_item_sk + JOIN date_dim + ON d_date_sk = ws_sold_date_sk + LEFT JOIN web_returns + ON ( ws_order_number = wr_order_number + AND ws_item_sk = wr_item_sk ) + WHERE i_category = 'Men') sales_detail + GROUP BY d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id) +SELECT prev_yr.d_year AS prev_year, + curr_yr.d_year AS year1, + curr_yr.i_brand_id, + curr_yr.i_class_id, + curr_yr.i_category_id, + curr_yr.i_manufact_id, + prev_yr.sales_cnt AS prev_yr_cnt, + curr_yr.sales_cnt AS curr_yr_cnt, + curr_yr.sales_cnt - prev_yr.sales_cnt AS sales_cnt_diff, + curr_yr.sales_amt - prev_yr.sales_amt AS sales_amt_diff +FROM all_sales curr_yr, + all_sales prev_yr +WHERE curr_yr.i_brand_id = prev_yr.i_brand_id + AND curr_yr.i_class_id = prev_yr.i_class_id + AND curr_yr.i_category_id = prev_yr.i_category_id + AND curr_yr.i_manufact_id = prev_yr.i_manufact_id + AND curr_yr.d_year = 2002 + AND prev_yr.d_year = 2002 - 1 + AND Cast(curr_yr.sales_cnt AS DECIMAL(17, 2)) / Cast(prev_yr.sales_cnt AS + DECIMAL(17, 2)) + < 0.9 +ORDER BY sales_cnt_diff +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query76.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query76.sql new file mode 100644 index 000000000..f298aa015 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query76.sql @@ -0,0 +1,57 @@ +-- start query 76 in stream 0 using template query76.tpl +SELECT channel, + col_name, + d_year, + d_qoy, + i_category, + Count(*) sales_cnt, + Sum(ext_sales_price) sales_amt +FROM (SELECT 'store' AS channel, + 'ss_hdemo_sk' col_name, + d_year, + d_qoy, + i_category, + ss_ext_sales_price ext_sales_price + FROM store_sales, + item, + date_dim + WHERE ss_hdemo_sk IS NULL + AND ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + UNION ALL + SELECT 'web' AS channel, + 'ws_ship_hdemo_sk' col_name, + d_year, + d_qoy, + i_category, + ws_ext_sales_price ext_sales_price + FROM web_sales, + item, + date_dim + WHERE ws_ship_hdemo_sk IS NULL + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk = i_item_sk + UNION ALL + SELECT 'catalog' AS channel, + 'cs_warehouse_sk' col_name, + d_year, + d_qoy, + i_category, + cs_ext_sales_price ext_sales_price + FROM catalog_sales, + item, + date_dim + WHERE cs_warehouse_sk IS NULL + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk) foo +GROUP BY channel, + col_name, + d_year, + d_qoy, + i_category +ORDER BY channel, + col_name, + d_year, + d_qoy, + i_category +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query77.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query77.sql new file mode 100644 index 000000000..ebcea2b12 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query77.sql @@ -0,0 +1,107 @@ + +-- start query 77 in stream 0 using template query77.tpl +WITH ss AS +( + SELECT s_store_sk, + Sum(ss_ext_sales_price) AS sales, + Sum(ss_net_profit) AS profit + FROM store_sales, + date_dim, + store + WHERE ss_sold_date_sk = d_date_sk + AND d_date BETWEEN Cast('2001-08-16' AS DATE) AND ( + Cast('2001-08-16' AS DATE) + INTERVAL '30' day) + AND ss_store_sk = s_store_sk + GROUP BY s_store_sk) , sr AS +( + SELECT s_store_sk, + sum(sr_return_amt) AS returns1, + sum(sr_net_loss) AS profit_loss + FROM store_returns, + date_dim, + store + WHERE sr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND sr_store_sk = s_store_sk + GROUP BY s_store_sk), cs AS +( + SELECT cs_call_center_sk, + sum(cs_ext_sales_price) AS sales, + sum(cs_net_profit) AS profit + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + GROUP BY cs_call_center_sk ), cr AS +( + SELECT cr_call_center_sk, + sum(cr_return_amount) AS returns1, + sum(cr_net_loss) AS profit_loss + FROM catalog_returns, + date_dim + WHERE cr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + GROUP BY cr_call_center_sk ), ws AS +( + SELECT wp_web_page_sk, + sum(ws_ext_sales_price) AS sales, + sum(ws_net_profit) AS profit + FROM web_sales, + date_dim, + web_page + WHERE ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND ws_web_page_sk = wp_web_page_sk + GROUP BY wp_web_page_sk), wr AS +( + SELECT wp_web_page_sk, + sum(wr_return_amt) AS returns1, + sum(wr_net_loss) AS profit_loss + FROM web_returns, + date_dim, + web_page + WHERE wr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND wr_web_page_sk = wp_web_page_sk + GROUP BY wp_web_page_sk) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + ss.s_store_sk AS id , + sales , + COALESCE(returns1, 0) AS returns1 , + (profit - COALESCE(profit_loss,0)) AS profit + FROM ss + LEFT JOIN sr + ON ss.s_store_sk = sr.s_store_sk + UNION ALL + SELECT 'catalog channel' AS channel , + cs_call_center_sk AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM cs , + cr + UNION ALL + SELECT 'web channel' AS channel , + ws.wp_web_page_sk AS id , + sales , + COALESCE(returns1, 0) returns1 , + (profit - COALESCE(profit_loss,0)) AS profit + FROM ws + LEFT JOIN wr + ON ws.wp_web_page_sk = wr.wp_web_page_sk ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query78.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query78.sql new file mode 100644 index 000000000..b57b52389 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query78.sql @@ -0,0 +1,86 @@ +-- start query 78 in stream 0 using template query78.tpl +WITH ws + AS (SELECT d_year AS ws_sold_year, + ws_item_sk, + ws_bill_customer_sk ws_customer_sk, + Sum(ws_quantity) ws_qty, + Sum(ws_wholesale_cost) ws_wc, + Sum(ws_sales_price) ws_sp + FROM web_sales + LEFT JOIN web_returns + ON wr_order_number = ws_order_number + AND ws_item_sk = wr_item_sk + JOIN date_dim + ON ws_sold_date_sk = d_date_sk + WHERE wr_order_number IS NULL + GROUP BY d_year, + ws_item_sk, + ws_bill_customer_sk), + cs + AS (SELECT d_year AS cs_sold_year, + cs_item_sk, + cs_bill_customer_sk cs_customer_sk, + Sum(cs_quantity) cs_qty, + Sum(cs_wholesale_cost) cs_wc, + Sum(cs_sales_price) cs_sp + FROM catalog_sales + LEFT JOIN catalog_returns + ON cr_order_number = cs_order_number + AND cs_item_sk = cr_item_sk + JOIN date_dim + ON cs_sold_date_sk = d_date_sk + WHERE cr_order_number IS NULL + GROUP BY d_year, + cs_item_sk, + cs_bill_customer_sk), + ss + AS (SELECT d_year AS ss_sold_year, + ss_item_sk, + ss_customer_sk, + Sum(ss_quantity) ss_qty, + Sum(ss_wholesale_cost) ss_wc, + Sum(ss_sales_price) ss_sp + FROM store_sales + LEFT JOIN store_returns + ON sr_ticket_number = ss_ticket_number + AND ss_item_sk = sr_item_sk + JOIN date_dim + ON ss_sold_date_sk = d_date_sk + WHERE sr_ticket_number IS NULL + GROUP BY d_year, + ss_item_sk, + ss_customer_sk) +SELECT ss_item_sk, + Round(ss_qty / ( COALESCE(ws_qty + cs_qty, 1) ), 2) ratio, + ss_qty store_qty, + ss_wc + store_wholesale_cost, + ss_sp + store_sales_price, + COALESCE(ws_qty, 0) + COALESCE(cs_qty, 0) + other_chan_qty, + COALESCE(ws_wc, 0) + COALESCE(cs_wc, 0) + other_chan_wholesale_cost, + COALESCE(ws_sp, 0) + COALESCE(cs_sp, 0) + other_chan_sales_price +FROM ss + LEFT JOIN ws + ON ( ws_sold_year = ss_sold_year + AND ws_item_sk = ss_item_sk + AND ws_customer_sk = ss_customer_sk ) + LEFT JOIN cs + ON ( cs_sold_year = ss_sold_year + AND cs_item_sk = cs_item_sk + AND cs_customer_sk = ss_customer_sk ) +WHERE COALESCE(ws_qty, 0) > 0 + AND COALESCE(cs_qty, 0) > 0 + AND ss_sold_year = 1999 +ORDER BY ss_item_sk, + ss_qty DESC, + ss_wc DESC, + ss_sp DESC, + other_chan_qty, + other_chan_wholesale_cost, + other_chan_sales_price, + Round(ss_qty / ( COALESCE(ws_qty + cs_qty, 1) ), 2) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query79.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query79.sql new file mode 100644 index 000000000..7e8f52d09 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query79.sql @@ -0,0 +1,35 @@ +-- start query 79 in stream 0 using template query79.tpl +SELECT c_last_name, + c_first_name, + Substr(s_city, 1, 30), + ss_ticket_number, + amt, + profit +FROM (SELECT ss_ticket_number, + ss_customer_sk, + store.s_city, + Sum(ss_coupon_amt) amt, + Sum(ss_net_profit) profit + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND ( household_demographics.hd_dep_count = 8 + OR household_demographics.hd_vehicle_count > 4 ) + AND date_dim.d_dow = 1 + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_number_employees BETWEEN 200 AND 295 + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + store.s_city) ms, + customer +WHERE ss_customer_sk = c_customer_sk +ORDER BY c_last_name, + c_first_name, + Substr(s_city, 1, 30), + profit +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query8.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query8.sql new file mode 100644 index 000000000..8d98a76a4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query8.sql @@ -0,0 +1,227 @@ +-- start query 8 in stream 0 using template query8.tpl +SELECT s_store_name, + Sum(ss_net_profit) +FROM store_sales, + date_dim, + store, + (SELECT ca_zip + FROM (SELECT Substr(ca_zip, 1, 5) ca_zip + FROM customer_address + WHERE Substr(ca_zip, 1, 5) IN ( '67436', '26121', '38443', + '63157', + '68856', '19485', '86425', + '26741', + '70991', '60899', '63573', + '47556', + '56193', '93314', '87827', + '62017', + '85067', '95390', '48091', + '10261', + '81845', '41790', '42853', + '24675', + '12840', '60065', '84430', + '57451', + '24021', '91735', '75335', + '71935', + '34482', '56943', '70695', + '52147', + '56251', '28411', '86653', + '23005', + '22478', '29031', '34398', + '15365', + '42460', '33337', '59433', + '73943', + '72477', '74081', '74430', + '64605', + '39006', '11226', '49057', + '97308', + '42663', '18187', '19768', + '43454', + '32147', '76637', '51975', + '11181', + '45630', '33129', '45995', + '64386', + '55522', '26697', '20963', + '35154', + '64587', '49752', '66386', + '30586', + '59286', '13177', '66646', + '84195', + '74316', '36853', '32927', + '12469', + '11904', '36269', '17724', + '55346', + '12595', '53988', '65439', + '28015', + '63268', '73590', '29216', + '82575', + '69267', '13805', '91678', + '79460', + '94152', '14961', '15419', + '48277', + '62588', '55493', '28360', + '14152', + '55225', '18007', '53705', + '56573', + '80245', '71769', '57348', + '36845', + '13039', '17270', '22363', + '83474', + '25294', '43269', '77666', + '15488', + '99146', '64441', '43338', + '38736', + '62754', '48556', '86057', + '23090', + '38114', '66061', '18910', + '84385', + '23600', '19975', '27883', + '65719', + '19933', '32085', '49731', + '40473', + '27190', '46192', '23949', + '44738', + '12436', '64794', '68741', + '15333', + '24282', '49085', '31844', + '71156', + '48441', '17100', '98207', + '44982', + '20277', '71496', '96299', + '37583', + '22206', '89174', '30589', + '61924', + '53079', '10976', '13104', + '42794', + '54772', '15809', '56434', + '39975', + '13874', '30753', '77598', + '78229', + '59478', '12345', '55547', + '57422', + '42600', '79444', '29074', + '29752', + '21676', '32096', '43044', + '39383', + '37296', '36295', '63077', + '16572', + '31275', '18701', '40197', + '48242', + '27219', '49865', '84175', + '30446', + '25165', '13807', '72142', + '70499', + '70464', '71429', '18111', + '70857', + '29545', '36425', '52706', + '36194', + '42963', '75068', '47921', + '74763', + '90990', '89456', '62073', + '88397', + '73963', '75885', '62657', + '12530', + '81146', '57434', '25099', + '41429', + '98441', '48713', '52552', + '31667', + '14072', '13903', '44709', + '85429', + '58017', '38295', '44875', + '73541', + '30091', '12707', '23762', + '62258', + '33247', '78722', '77431', + '14510', + '35656', '72428', '92082', + '35267', + '43759', '24354', '90952', + '11512', + '21242', '22579', '56114', + '32339', + '52282', '41791', '24484', + '95020', + '28408', '99710', '11899', + '43344', + '72915', '27644', '62708', + '74479', + '17177', '32619', '12351', + '91339', + '31169', '57081', '53522', + '16712', + '34419', '71779', '44187', + '46206', + '96099', '61910', '53664', + '12295', + '31837', '33096', '10813', + '63048', + '31732', '79118', '73084', + '72783', + '84952', '46965', '77956', + '39815', + '32311', '75329', '48156', + '30826', + '49661', '13736', '92076', + '74865', + '88149', '92397', '52777', + '68453', + '32012', '21222', '52721', + '24626', + '18210', '42177', '91791', + '75251', + '82075', '44372', '45542', + '20609', + '60115', '17362', '22750', + '90434', + '31852', '54071', '33762', + '14705', + '40718', '56433', '30996', + '40657', + '49056', '23585', '66455', + '41021', + '74736', '72151', '37007', + '21729', + '60177', '84558', '59027', + '93855', + '60022', '86443', '19541', + '86886', + '30532', '39062', '48532', + '34713', + '52077', '22564', '64638', + '15273', + '31677', '36138', '62367', + '60261', + '80213', '42818', '25113', + '72378', + '69802', '69096', '55443', + '28820', + '13848', '78258', '37490', + '30556', + '77380', '28447', '44550', + '26791', + '70609', '82182', '33306', + '43224', + '22322', '86959', '68519', + '14308', + '46501', '81131', '34056', + '61991', + '19896', '87804', '65774', + '92564' ) + INTERSECT + SELECT ca_zip + FROM (SELECT Substr(ca_zip, 1, 5) ca_zip, + Count(*) cnt + FROM customer_address, + customer + WHERE ca_address_sk = c_current_addr_sk + AND c_preferred_cust_flag = 'Y' + GROUP BY ca_zip + HAVING Count(*) > 10)A1)A2) V1 +WHERE ss_store_sk = s_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_qoy = 2 + AND d_year = 2000 + AND ( Substr(s_zip, 1, 2) = Substr(V1.ca_zip, 1, 2) ) +GROUP BY s_store_name +ORDER BY s_store_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query80.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query80.sql new file mode 100644 index 000000000..4fcb9cb2f --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query80.sql @@ -0,0 +1,105 @@ +-- start query 80 in stream 0 using template query80.tpl +WITH ssr AS +( + SELECT s_store_id AS store_id, + Sum(ss_ext_sales_price) AS sales, + Sum(COALESCE(sr_return_amt, 0)) AS returns1, + Sum(ss_net_profit - COALESCE(sr_net_loss, 0)) AS profit + FROM store_sales + LEFT OUTER JOIN store_returns + ON ( + ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number), + date_dim, + store, + item, + promotion + WHERE ss_sold_date_sk = d_date_sk + AND d_date BETWEEN Cast('2000-08-26' AS DATE) AND ( + Cast('2000-08-26' AS DATE) + INTERVAL '30' day) + AND ss_store_sk = s_store_sk + AND ss_item_sk = i_item_sk + AND i_current_price > 50 + AND ss_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY s_store_id) , csr AS +( + SELECT cp_catalog_page_id AS catalog_page_id, + sum(cs_ext_sales_price) AS sales, + sum(COALESCE(cr_return_amount, 0)) AS returns1, + sum(cs_net_profit - COALESCE(cr_net_loss, 0)) AS profit + FROM catalog_sales + LEFT OUTER JOIN catalog_returns + ON ( + cs_item_sk = cr_item_sk + AND cs_order_number = cr_order_number), + date_dim, + catalog_page, + item, + promotion + WHERE cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2000-08-26' AS date) AND ( + cast('2000-08-26' AS date) + INTERVAL '30' day) + AND cs_catalog_page_sk = cp_catalog_page_sk + AND cs_item_sk = i_item_sk + AND i_current_price > 50 + AND cs_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY cp_catalog_page_id) , wsr AS +( + SELECT web_site_id, + sum(ws_ext_sales_price) AS sales, + sum(COALESCE(wr_return_amt, 0)) AS returns1, + sum(ws_net_profit - COALESCE(wr_net_loss, 0)) AS profit + FROM web_sales + LEFT OUTER JOIN web_returns + ON ( + ws_item_sk = wr_item_sk + AND ws_order_number = wr_order_number), + date_dim, + web_site, + item, + promotion + WHERE ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2000-08-26' AS date) AND ( + cast('2000-08-26' AS date) + INTERVAL '30' day) + AND ws_web_site_sk = web_site_sk + AND ws_item_sk = i_item_sk + AND i_current_price > 50 + AND ws_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY web_site_id) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + 'store' + || store_id AS id , + sales , + returns1 , + profit + FROM ssr + UNION ALL + SELECT 'catalog channel' AS channel , + 'catalog_page' + || catalog_page_id AS id , + sales , + returns1 , + profit + FROM csr + UNION ALL + SELECT 'web channel' AS channel , + 'web_site' + || web_site_id AS id , + sales , + returns1 , + profit + FROM wsr ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query81.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query81.sql new file mode 100644 index 000000000..9be95c5d2 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query81.sql @@ -0,0 +1,56 @@ + +-- start query 81 in stream 0 using template query81.tpl +WITH customer_total_return + AS (SELECT cr_returning_customer_sk AS ctr_customer_sk, + ca_state AS ctr_state, + Sum(cr_return_amt_inc_tax) AS ctr_total_return + FROM catalog_returns, + date_dim, + customer_address + WHERE cr_returned_date_sk = d_date_sk + AND d_year = 1999 + AND cr_returning_addr_sk = ca_address_sk + GROUP BY cr_returning_customer_sk, + ca_state) +SELECT c_customer_id, + c_salutation, + c_first_name, + c_last_name, + ca_street_number, + ca_street_name, + ca_street_type, + ca_suite_number, + ca_city, + ca_county, + ca_state, + ca_zip, + ca_country, + ca_gmt_offset, + ca_location_type, + ctr_total_return +FROM customer_total_return ctr1, + customer_address, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_state = ctr2.ctr_state) + AND ca_address_sk = c_current_addr_sk + AND ca_state = 'TX' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id, + c_salutation, + c_first_name, + c_last_name, + ca_street_number, + ca_street_name, + ca_street_type, + ca_suite_number, + ca_city, + ca_county, + ca_state, + ca_zip, + ca_country, + ca_gmt_offset, + ca_location_type, + ctr_total_return +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query82.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query82.sql new file mode 100644 index 000000000..27295a5fb --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query82.sql @@ -0,0 +1,23 @@ + +-- start query 82 in stream 0 using template query82.tpl +SELECT + i_item_id , + i_item_desc , + i_current_price +FROM item, + inventory, + date_dim, + store_sales +WHERE i_current_price BETWEEN 63 AND 63+30 +AND inv_item_sk = i_item_sk +AND d_date_sk=inv_date_sk +AND d_date BETWEEN Cast('1998-04-27' AS DATE) AND ( + Cast('1998-04-27' AS DATE) + INTERVAL '60' day) +AND i_manufact_id IN (57,293,427,320) +AND inv_quantity_on_hand BETWEEN 100 AND 500 +AND ss_item_sk = i_item_sk +GROUP BY i_item_id, + i_item_desc, + i_current_price +ORDER BY i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query83.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query83.sql new file mode 100644 index 000000000..b5c4378fa --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query83.sql @@ -0,0 +1,75 @@ +-- start query 83 in stream 0 using template query83.tpl +WITH sr_items + AS (SELECT i_item_id item_id, + Sum(sr_return_quantity) sr_item_qty + FROM store_returns, + item, + date_dim + WHERE sr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND sr_returned_date_sk = d_date_sk + GROUP BY i_item_id), + cr_items + AS (SELECT i_item_id item_id, + Sum(cr_return_quantity) cr_item_qty + FROM catalog_returns, + item, + date_dim + WHERE cr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND cr_returned_date_sk = d_date_sk + GROUP BY i_item_id), + wr_items + AS (SELECT i_item_id item_id, + Sum(wr_return_quantity) wr_item_qty + FROM web_returns, + item, + date_dim + WHERE wr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND wr_returned_date_sk = d_date_sk + GROUP BY i_item_id) +SELECT sr_items.item_id, + sr_item_qty, + sr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 sr_dev, + cr_item_qty, + cr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 cr_dev, + wr_item_qty, + wr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 wr_dev, + ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 + average +FROM sr_items, + cr_items, + wr_items +WHERE sr_items.item_id = cr_items.item_id + AND sr_items.item_id = wr_items.item_id +ORDER BY sr_items.item_id, + sr_item_qty +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query84.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query84.sql new file mode 100644 index 000000000..f7eae1a7e --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query84.sql @@ -0,0 +1,21 @@ +-- start query 84 in stream 0 using template query84.tpl +SELECT c_customer_id AS customer_id, + c_last_name + || ', ' + || c_first_name AS customername +FROM customer, + customer_address, + customer_demographics, + household_demographics, + income_band, + store_returns +WHERE ca_city = 'Green Acres' + AND c_current_addr_sk = ca_address_sk + AND ib_lower_bound >= 54986 + AND ib_upper_bound <= 54986 + 50000 + AND ib_income_band_sk = hd_income_band_sk + AND cd_demo_sk = c_current_cdemo_sk + AND hd_demo_sk = c_current_hdemo_sk + AND sr_cdemo_sk = cd_demo_sk +ORDER BY c_customer_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query85.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query85.sql new file mode 100644 index 000000000..be2f68d48 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query85.sql @@ -0,0 +1,52 @@ +-- start query 85 in stream 0 using template query85.tpl +SELECT Substr(r_reason_desc, 1, 20), + Avg(ws_quantity), + Avg(wr_refunded_cash), + Avg(wr_fee) +FROM web_sales, + web_returns, + web_page, + customer_demographics cd1, + customer_demographics cd2, + customer_address, + date_dim, + reason +WHERE ws_web_page_sk = wp_web_page_sk + AND ws_item_sk = wr_item_sk + AND ws_order_number = wr_order_number + AND ws_sold_date_sk = d_date_sk + AND d_year = 2001 + AND cd1.cd_demo_sk = wr_refunded_cdemo_sk + AND cd2.cd_demo_sk = wr_returning_cdemo_sk + AND ca_address_sk = wr_refunded_addr_sk + AND r_reason_sk = wr_reason_sk + AND ( ( cd1.cd_marital_status = 'W' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Primary' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 100.00 AND 150.00 ) + OR ( cd1.cd_marital_status = 'D' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Secondary' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 50.00 AND 100.00 ) + OR ( cd1.cd_marital_status = 'M' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Advanced Degree' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 150.00 AND 200.00 ) ) + AND ( ( ca_country = 'United States' + AND ca_state IN ( 'KY', 'ME', 'IL' ) + AND ws_net_profit BETWEEN 100 AND 200 ) + OR ( ca_country = 'United States' + AND ca_state IN ( 'OK', 'NE', 'MN' ) + AND ws_net_profit BETWEEN 150 AND 300 ) + OR ( ca_country = 'United States' + AND ca_state IN ( 'FL', 'WI', 'KS' ) + AND ws_net_profit BETWEEN 50 AND 250 ) ) +GROUP BY r_reason_desc +ORDER BY Substr(r_reason_desc, 1, 20), + Avg(ws_quantity), + Avg(wr_refunded_cash), + Avg(wr_fee) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query86.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query86.sql new file mode 100644 index 000000000..ec513d402 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query86.sql @@ -0,0 +1,24 @@ +-- start query 86 in stream 0 using template query86.tpl +SELECT Sum(ws_net_paid) AS total_sum, + i_category, + i_class, + Grouping(i_category) + Grouping(i_class) AS lochierarchy, + Rank() + OVER ( + partition BY Grouping(i_category)+Grouping(i_class), CASE + WHEN Grouping( + i_class) = 0 THEN i_category END + ORDER BY Sum(ws_net_paid) DESC) AS rank_within_parent +FROM web_sales, + date_dim d1, + item +WHERE d1.d_month_seq BETWEEN 1183 AND 1183 + 11 + AND d1.d_date_sk = ws_sold_date_sk + AND i_item_sk = ws_item_sk +GROUP BY rollup( i_category, i_class ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN i_category + END, + rank_within_parent +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query87.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query87.sql new file mode 100644 index 000000000..6f58f2e09 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query87.sql @@ -0,0 +1,21 @@ +-- start query 87 in stream 0 using template query87.tpl +select count(*) +from ((select distinct c_last_name, c_first_name, d_date + from store_sales, date_dim, customer + where store_sales.ss_sold_date_sk = date_dim.d_date_sk + and store_sales.ss_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) + except + (select distinct c_last_name, c_first_name, d_date + from catalog_sales, date_dim, customer + where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) + except + (select distinct c_last_name, c_first_name, d_date + from web_sales, date_dim, customer + where web_sales.ws_sold_date_sk = date_dim.d_date_sk + and web_sales.ws_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) +) cool_cust +; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query88.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query88.sql new file mode 100644 index 000000000..d1945f341 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query88.sql @@ -0,0 +1,92 @@ +-- start query 88 in stream 0 using template query88.tpl +select * +from + (select count(*) h8_30_to_9 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 8 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s1, + (select count(*) h9_to_9_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 9 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s2, + (select count(*) h9_30_to_10 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 9 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s3, + (select count(*) h10_to_10_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 10 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s4, + (select count(*) h10_30_to_11 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 10 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s5, + (select count(*) h11_to_11_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 11 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s6, + (select count(*) h11_30_to_12 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 11 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s7, + (select count(*) h12_to_12_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 12 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s8 +; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query89.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query89.sql new file mode 100644 index 000000000..1459f9cf9 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query89.sql @@ -0,0 +1,40 @@ +-- start query 89 in stream 0 using template query89.tpl +SELECT * +FROM (SELECT i_category, + i_class, + i_brand, + s_store_name, + s_company_name, + d_moy, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_category, i_brand, s_store_name, s_company_name + ) + avg_monthly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_year IN ( 2002 ) + AND ( ( i_category IN ( 'Home', 'Men', 'Sports' ) + AND i_class IN ( 'paint', 'accessories', 'fitness' ) ) + OR ( i_category IN ( 'Shoes', 'Jewelry', 'Women' ) + AND i_class IN ( 'mens', 'pendants', 'swimwear' ) ) ) + GROUP BY i_category, + i_class, + i_brand, + s_store_name, + s_company_name, + d_moy) tmp1 +WHERE CASE + WHEN ( avg_monthly_sales <> 0 ) THEN ( + Abs(sum_sales - avg_monthly_sales) / avg_monthly_sales ) + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + s_store_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query9.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query9.sql new file mode 100644 index 000000000..8073df2f9 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query9.sql @@ -0,0 +1,63 @@ +-- start query 9 in stream 0 using template query9.tpl +SELECT CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) > 3672 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 1 AND 20) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) + END bucket1, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) > 3392 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 21 AND 40) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) + END bucket2, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) > 32784 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 41 AND 60) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) + END bucket3, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) > 26032 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 61 AND 80) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) + END bucket4, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) > 23982 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 81 AND 100) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) + END bucket5 +FROM reason +WHERE r_reason_sk = 1; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query90.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query90.sql new file mode 100644 index 000000000..bc117f29e --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query90.sql @@ -0,0 +1,28 @@ + +-- start query 90 in stream 0 using template query90.tpl +SELECT Cast(amc AS DECIMAL(15, 4)) / Cast(pmc AS DECIMAL(15, 4)) + am_pm_ratio +FROM (SELECT Count(*) amc + FROM web_sales, + household_demographics, + time_dim, + web_page + WHERE ws_sold_time_sk = time_dim.t_time_sk + AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk + AND ws_web_page_sk = web_page.wp_web_page_sk + AND time_dim.t_hour BETWEEN 12 AND 12 + 1 + AND household_demographics.hd_dep_count = 8 + AND web_page.wp_char_count BETWEEN 5000 AND 5200) at1, + (SELECT Count(*) pmc + FROM web_sales, + household_demographics, + time_dim, + web_page + WHERE ws_sold_time_sk = time_dim.t_time_sk + AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk + AND ws_web_page_sk = web_page.wp_web_page_sk + AND time_dim.t_hour BETWEEN 20 AND 20 + 1 + AND household_demographics.hd_dep_count = 8 + AND web_page.wp_char_count BETWEEN 5000 AND 5200) pt +ORDER BY am_pm_ratio +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query91.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query91.sql new file mode 100644 index 000000000..457aa8b45 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query91.sql @@ -0,0 +1,32 @@ +-- start query 91 in stream 0 using template query91.tpl +SELECT cc_call_center_id Call_Center, + cc_name Call_Center_Name, + cc_manager Manager, + Sum(cr_net_loss) Returns_Loss +FROM call_center, + catalog_returns, + date_dim, + customer, + customer_address, + customer_demographics, + household_demographics +WHERE cr_call_center_sk = cc_call_center_sk + AND cr_returned_date_sk = d_date_sk + AND cr_returning_customer_sk = c_customer_sk + AND cd_demo_sk = c_current_cdemo_sk + AND hd_demo_sk = c_current_hdemo_sk + AND ca_address_sk = c_current_addr_sk + AND d_year = 1999 + AND d_moy = 12 + AND ( ( cd_marital_status = 'M' + AND cd_education_status = 'Unknown' ) + OR ( cd_marital_status = 'W' + AND cd_education_status = 'Advanced Degree' ) ) + AND hd_buy_potential LIKE 'Unknown%' + AND ca_gmt_offset = -7 +GROUP BY cc_call_center_id, + cc_name, + cc_manager, + cd_marital_status, + cd_education_status +ORDER BY Sum(cr_net_loss) DESC; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query92.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query92.sql new file mode 100644 index 000000000..2c18f4219 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query92.sql @@ -0,0 +1,22 @@ +-- start query 92 in stream 0 using template query92.tpl +SELECT + Sum(ws_ext_discount_amt) AS "Excess Discount Amount" +FROM web_sales , + item , + date_dim +WHERE i_manufact_id = 718 +AND i_item_sk = ws_item_sk +AND d_date BETWEEN '2002-03-29' AND ( + Cast('2002-03-29' AS DATE) + INTERVAL '90' day) +AND d_date_sk = ws_sold_date_sk +AND ws_ext_discount_amt > + ( + SELECT 1.3 * avg(ws_ext_discount_amt) + FROM web_sales , + date_dim + WHERE ws_item_sk = i_item_sk + AND d_date BETWEEN '2002-03-29' AND ( + cast('2002-03-29' AS date) + INTERVAL '90' day) + AND d_date_sk = ws_sold_date_sk ) +ORDER BY sum(ws_ext_discount_amt) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query93.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query93.sql new file mode 100644 index 000000000..f7fdc3296 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query93.sql @@ -0,0 +1,22 @@ +-- start query 93 in stream 0 using template query93.tpl +SELECT ss_customer_sk, + Sum(act_sales) sumsales +FROM (SELECT ss_item_sk, + ss_ticket_number, + ss_customer_sk, + CASE + WHEN sr_return_quantity IS NOT NULL THEN + ( ss_quantity - sr_return_quantity ) * ss_sales_price + ELSE ( ss_quantity * ss_sales_price ) + END act_sales + FROM store_sales + LEFT OUTER JOIN store_returns + ON ( sr_item_sk = ss_item_sk + AND sr_ticket_number = ss_ticket_number ), + reason + WHERE sr_reason_sk = r_reason_sk + AND r_reason_desc = 'reason 38') t +GROUP BY ss_customer_sk +ORDER BY sumsales, + ss_customer_sk +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query94.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query94.sql new file mode 100644 index 000000000..773fa37aa --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query94.sql @@ -0,0 +1,29 @@ +-- start query 94 in stream 0 using template query94.tpl +SELECT + Count(DISTINCT ws_order_number) AS "order count" , + Sum(ws_ext_ship_cost) AS "total shipping cost" , + Sum(ws_net_profit) AS "total net profit" +FROM web_sales ws1 , + date_dim , + customer_address , + web_site +WHERE d_date BETWEEN '2000-3-01' AND ( + Cast('2000-3-01' AS DATE) + INTERVAL '60' day) +AND ws1.ws_ship_date_sk = d_date_sk +AND ws1.ws_ship_addr_sk = ca_address_sk +AND ca_state = 'MT' +AND ws1.ws_web_site_sk = web_site_sk +AND web_company_name = 'pri' +AND EXISTS + ( + SELECT * + FROM web_sales ws2 + WHERE ws1.ws_order_number = ws2.ws_order_number + AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) +AND NOT EXISTS + ( + SELECT * + FROM web_returns wr1 + WHERE ws1.ws_order_number = wr1.wr_order_number) +ORDER BY count(DISTINCT ws_order_number) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query95.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query95.sql new file mode 100644 index 000000000..334a40529 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query95.sql @@ -0,0 +1,37 @@ +-- start query 95 in stream 0 using template query95.tpl +WITH ws_wh AS +( + SELECT ws1.ws_order_number, + ws1.ws_warehouse_sk wh1, + ws2.ws_warehouse_sk wh2 + FROM web_sales ws1, + web_sales ws2 + WHERE ws1.ws_order_number = ws2.ws_order_number + AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) +SELECT + Count(DISTINCT ws_order_number) AS "order count" , + Sum(ws_ext_ship_cost) AS "total shipping cost" , + Sum(ws_net_profit) AS "total net profit" +FROM web_sales ws1 , + date_dim , + customer_address , + web_site +WHERE d_date BETWEEN '2000-4-01' AND ( + Cast('2000-4-01' AS DATE) + INTERVAL '60' day) +AND ws1.ws_ship_date_sk = d_date_sk +AND ws1.ws_ship_addr_sk = ca_address_sk +AND ca_state = 'IN' +AND ws1.ws_web_site_sk = web_site_sk +AND web_company_name = 'pri' +AND ws1.ws_order_number IN + ( + SELECT ws_order_number + FROM ws_wh) +AND ws1.ws_order_number IN + ( + SELECT wr_order_number + FROM web_returns, + ws_wh + WHERE wr_order_number = ws_wh.ws_order_number) +ORDER BY count(DISTINCT ws_order_number) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query96.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query96.sql new file mode 100644 index 000000000..1f7731524 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query96.sql @@ -0,0 +1,15 @@ +-- start query 96 in stream 0 using template query96.tpl +SELECT Count(*) +FROM store_sales, + household_demographics, + time_dim, + store +WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 15 + AND time_dim.t_minute >= 30 + AND household_demographics.hd_dep_count = 7 + AND store.s_store_name = 'ese' +ORDER BY Count(*) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query97.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query97.sql new file mode 100644 index 000000000..6a6be875a --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query97.sql @@ -0,0 +1,40 @@ + +-- start query 97 in stream 0 using template query97.tpl +WITH ssci + AS (SELECT ss_customer_sk customer_sk, + ss_item_sk item_sk + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11 + GROUP BY ss_customer_sk, + ss_item_sk), + csci + AS (SELECT cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11 + GROUP BY cs_bill_customer_sk, + cs_item_sk) +SELECT Sum(CASE + WHEN ssci.customer_sk IS NOT NULL + AND csci.customer_sk IS NULL THEN 1 + ELSE 0 + END) store_only, + Sum(CASE + WHEN ssci.customer_sk IS NULL + AND csci.customer_sk IS NOT NULL THEN 1 + ELSE 0 + END) catalog_only, + Sum(CASE + WHEN ssci.customer_sk IS NOT NULL + AND csci.customer_sk IS NOT NULL THEN 1 + ELSE 0 + END) store_and_catalog +FROM ssci + FULL OUTER JOIN csci + ON ( ssci.customer_sk = csci.customer_sk + AND ssci.item_sk = csci.item_sk ) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query98.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query98.sql new file mode 100644 index 000000000..62eaaa518 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query98.sql @@ -0,0 +1,29 @@ + +-- start query 98 in stream 0 using template query98.tpl +SELECT i_item_id, + i_item_desc, + i_category, + i_class, + i_current_price, + Sum(ss_ext_sales_price) AS itemrevenue, + Sum(ss_ext_sales_price) * 100 / Sum(Sum(ss_ext_sales_price)) + OVER ( + PARTITION BY i_class) AS revenueratio +FROM store_sales, + item, + date_dim +WHERE ss_item_sk = i_item_sk + AND i_category IN ( 'Men', 'Home', 'Electronics' ) + AND ss_sold_date_sk = d_date_sk + AND d_date BETWEEN CAST('2000-05-18' AS DATE) AND ( + CAST('2000-05-18' AS DATE) + INTERVAL '30' DAY ) +GROUP BY i_item_id, + i_item_desc, + i_category, + i_class, + i_current_price +ORDER BY i_category, + i_class, + i_item_id, + i_item_desc, + revenueratio; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query99.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query99.sql new file mode 100644 index 000000000..73b6739e5 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/ansi/query99.sql @@ -0,0 +1,47 @@ + + +-- start query 99 in stream 0 using template query99.tpl +SELECT Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name, + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS "30 days", + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 30 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 60 ) THEN 1 + ELSE 0 + END) AS "31-60 days", + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 60 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 90 ) THEN 1 + ELSE 0 + END) AS "61-90 days", + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 90 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 120 ) THEN + 1 + ELSE 0 + END) AS "91-120 days", + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS ">120 days" +FROM catalog_sales, + warehouse, + ship_mode, + call_center, + date_dim +WHERE d_month_seq BETWEEN 1200 AND 1200 + 11 + AND cs_ship_date_sk = d_date_sk + AND cs_warehouse_sk = w_warehouse_sk + AND cs_ship_mode_sk = sm_ship_mode_sk + AND cs_call_center_sk = cc_call_center_sk +GROUP BY Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name +ORDER BY Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query1.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query1.sql new file mode 100644 index 000000000..8808e3ce6 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query1.sql @@ -0,0 +1,23 @@ +-- start query 1 in stream 0 using template query1.tpl +WITH customer_total_return + AS (SELECT sr_customer_sk AS ctr_customer_sk, + sr_store_sk AS ctr_store_sk, + Sum(sr_return_amt) AS ctr_total_return + FROM store_returns, + date_dim + WHERE sr_returned_date_sk = d_date_sk + AND d_year = 2001 + GROUP BY sr_customer_sk, + sr_store_sk) +SELECT c_customer_id +FROM customer_total_return ctr1, + store, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_store_sk = ctr2.ctr_store_sk) + AND s_store_sk = ctr1.ctr_store_sk + AND s_state = 'TN' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query10.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query10.sql new file mode 100644 index 000000000..0cb0ba050 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query10.sql @@ -0,0 +1,62 @@ +-- start query 10 in stream 0 using template query10.tpl +SELECT cd_gender, + cd_marital_status, + cd_education_status, + Count(*) cnt1, + cd_purchase_estimate, + Count(*) cnt2, + cd_credit_rating, + Count(*) cnt3, + cd_dep_count, + Count(*) cnt4, + cd_dep_employed_count, + Count(*) cnt5, + cd_dep_college_count, + Count(*) cnt6 +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND ca_county IN ( 'Lycoming County', 'Sheridan County', + 'Kandiyohi County', + 'Pike County', + 'Greene County' ) + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) + AND ( EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) + OR EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2002 + AND d_moy BETWEEN 4 AND 4 + 3) ) +GROUP BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +ORDER BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query11.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query11.sql new file mode 100644 index 000000000..cf24b9b74 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query11.sql @@ -0,0 +1,97 @@ +-- start query 11 in stream 0 using template query11.tpl +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name + , + c_last_name + customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address + customer_email_address, + d_year dyear, + Sum(ss_ext_list_price - ss_ext_discount_amt) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name + , + c_last_name + customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address + customer_email_address, + d_year dyear, + Sum(ws_ext_list_price - ws_ext_discount_amt) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_birth_country +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.dyear = 2001 + AND t_s_secyear.dyear = 2001 + 1 + AND t_w_firstyear.dyear = 2001 + AND t_w_secyear.dyear = 2001 + 1 + AND t_s_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE 0.0 + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE 0.0 + END +ORDER BY t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_birth_country +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query12.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query12.sql new file mode 100644 index 000000000..5f6d721c4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query12.sql @@ -0,0 +1,30 @@ +-- start query 12 in stream 0 using template query12.tpl +SELECT + i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + Sum(ws_ext_sales_price) AS itemrevenue , + Sum(ws_ext_sales_price)*100/Sum(Sum(ws_ext_sales_price)) OVER (partition BY i_class) AS revenueratio +FROM web_sales , + item , + date_dim +WHERE ws_item_sk = i_item_sk +AND i_category IN ('Home', + 'Men', + 'Women') +AND ws_sold_date_sk = d_date_sk +AND d_date BETWEEN Cast('2000-05-11' AS DATE) AND ( + Cast('2000-05-11' AS DATE) + INTERVAL '30' day) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query13.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query13.sql new file mode 100644 index 000000000..2bec54b95 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query13.sql @@ -0,0 +1,44 @@ +-- start query 13 in stream 0 using template query13.tpl +SELECT Avg(ss_quantity), + Avg(ss_ext_sales_price), + Avg(ss_ext_wholesale_cost), + Sum(ss_ext_wholesale_cost) +FROM store_sales, + store, + customer_demographics, + household_demographics, + customer_address, + date_dim +WHERE s_store_sk = ss_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2001 + AND ( ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'U' + AND cd_education_status = 'Advanced Degree' + AND ss_sales_price BETWEEN 100.00 AND 150.00 + AND hd_dep_count = 3 ) + OR ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'M' + AND cd_education_status = 'Primary' + AND ss_sales_price BETWEEN 50.00 AND 100.00 + AND hd_dep_count = 1 ) + OR ( ss_hdemo_sk = hd_demo_sk + AND cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'D' + AND cd_education_status = 'Secondary' + AND ss_sales_price BETWEEN 150.00 AND 200.00 + AND hd_dep_count = 1 ) ) + AND ( ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'AZ', 'NE', 'IA' ) + AND ss_net_profit BETWEEN 100 AND 200 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'MS', 'CA', 'NV' ) + AND ss_net_profit BETWEEN 150 AND 300 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'GA', 'TX', 'NJ' ) + AND ss_net_profit BETWEEN 50 AND 250 ) ); diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query14.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query14.sql new file mode 100644 index 000000000..7a7572bba --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query14.sql @@ -0,0 +1,245 @@ +-- start query 14 in stream 0 using template query14.tpl +WITH cross_items + AS (SELECT i_item_sk ss_item_sk + FROM item, + (SELECT iss.i_brand_id brand_id, + iss.i_class_id class_id, + iss.i_category_id category_id + FROM store_sales, + item iss, + date_dim d1 + WHERE ss_item_sk = iss.i_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND d1.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT ics.i_brand_id, + ics.i_class_id, + ics.i_category_id + FROM catalog_sales, + item ics, + date_dim d2 + WHERE cs_item_sk = ics.i_item_sk + AND cs_sold_date_sk = d2.d_date_sk + AND d2.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT iws.i_brand_id, + iws.i_class_id, + iws.i_category_id + FROM web_sales, + item iws, + date_dim d3 + WHERE ws_item_sk = iws.i_item_sk + AND ws_sold_date_sk = d3.d_date_sk + AND d3.d_year BETWEEN 1999 AND 1999 + 2) + WHERE i_brand_id = brand_id + AND i_class_id = class_id + AND i_category_id = category_id), + avg_sales + AS (SELECT Avg(quantity * list_price) average_sales + FROM (SELECT ss_quantity quantity, + ss_list_price list_price + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT cs_quantity quantity, + cs_list_price list_price + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT ws_quantity quantity, + ws_list_price list_price + FROM web_sales, + date_dim + WHERE ws_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2) x) +SELECT channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(sales), + Sum(number_sales) +FROM (SELECT 'store' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ss_quantity * ss_list_price) sales, + Count(*) number_sales + FROM store_sales, + item, + date_dim + WHERE ss_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ss_quantity * ss_list_price) > (SELECT average_sales + FROM avg_sales) + UNION ALL + SELECT 'catalog' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(cs_quantity * cs_list_price) sales, + Count(*) number_sales + FROM catalog_sales, + item, + date_dim + WHERE cs_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(cs_quantity * cs_list_price) > (SELECT average_sales + FROM avg_sales) + UNION ALL + SELECT 'web' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ws_quantity * ws_list_price) sales, + Count(*) number_sales + FROM web_sales, + item, + date_dim + WHERE ws_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + 2 + AND d_moy = 11 + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ws_quantity * ws_list_price) > (SELECT average_sales + FROM avg_sales)) y +GROUP BY rollup ( channel, i_brand_id, i_class_id, i_category_id ) +ORDER BY channel, + i_brand_id, + i_class_id, + i_category_id +LIMIT 100; + +WITH cross_items + AS (SELECT i_item_sk ss_item_sk + FROM item, + (SELECT iss.i_brand_id brand_id, + iss.i_class_id class_id, + iss.i_category_id category_id + FROM store_sales, + item iss, + date_dim d1 + WHERE ss_item_sk = iss.i_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND d1.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT ics.i_brand_id, + ics.i_class_id, + ics.i_category_id + FROM catalog_sales, + item ics, + date_dim d2 + WHERE cs_item_sk = ics.i_item_sk + AND cs_sold_date_sk = d2.d_date_sk + AND d2.d_year BETWEEN 1999 AND 1999 + 2 + INTERSECT + SELECT iws.i_brand_id, + iws.i_class_id, + iws.i_category_id + FROM web_sales, + item iws, + date_dim d3 + WHERE ws_item_sk = iws.i_item_sk + AND ws_sold_date_sk = d3.d_date_sk + AND d3.d_year BETWEEN 1999 AND 1999 + 2) x + WHERE i_brand_id = brand_id + AND i_class_id = class_id + AND i_category_id = category_id), + avg_sales + AS (SELECT Avg(quantity * list_price) average_sales + FROM (SELECT ss_quantity quantity, + ss_list_price list_price + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT cs_quantity quantity, + cs_list_price list_price + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2 + UNION ALL + SELECT ws_quantity quantity, + ws_list_price list_price + FROM web_sales, + date_dim + WHERE ws_sold_date_sk = d_date_sk + AND d_year BETWEEN 1999 AND 1999 + 2) x) +SELECT * +FROM (SELECT 'store' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ss_quantity * ss_list_price) sales, + Count(*) number_sales + FROM store_sales, + item, + date_dim + WHERE ss_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_year = 1999 + 1 + AND d_moy = 12 + AND d_dom = 25) + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ss_quantity * ss_list_price) > (SELECT average_sales + FROM avg_sales)) this_year, + (SELECT 'store' channel, + i_brand_id, + i_class_id, + i_category_id, + Sum(ss_quantity * ss_list_price) sales, + Count(*) number_sales + FROM store_sales, + item, + date_dim + WHERE ss_item_sk IN (SELECT ss_item_sk + FROM cross_items) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_year = 1999 + AND d_moy = 12 + AND d_dom = 25) + GROUP BY i_brand_id, + i_class_id, + i_category_id + HAVING Sum(ss_quantity * ss_list_price) > (SELECT average_sales + FROM avg_sales)) last_year +WHERE this_year.i_brand_id = last_year.i_brand_id + AND this_year.i_class_id = last_year.i_class_id + AND this_year.i_category_id = last_year.i_category_id +ORDER BY this_year.channel, + this_year.i_brand_id, + this_year.i_class_id, + this_year.i_category_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query15.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query15.sql new file mode 100644 index 000000000..207ddd719 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query15.sql @@ -0,0 +1,20 @@ +-- start query 15 in stream 0 using template query15.tpl +SELECT ca_zip, + Sum(cs_sales_price) +FROM catalog_sales, + customer, + customer_address, + date_dim +WHERE cs_bill_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND ( Substr(ca_zip, 1, 5) IN ( '85669', '86197', '88274', '83405', + '86475', '85392', '85460', '80348', + '81792' ) + OR ca_state IN ( 'CA', 'WA', 'GA' ) + OR cs_sales_price > 500 ) + AND cs_sold_date_sk = d_date_sk + AND d_qoy = 1 + AND d_year = 1998 +GROUP BY ca_zip +ORDER BY ca_zip +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query16.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query16.sql new file mode 100644 index 000000000..b19499577 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query16.sql @@ -0,0 +1,33 @@ +-- start query 16 in stream 0 using template query16.tpl +SELECT + Count(DISTINCT cs_order_number) AS `order count` , + Sum(cs_ext_ship_cost) AS `total shipping cost` , + Sum(cs_net_profit) AS `total net profit` +FROM catalog_sales cs1 , + date_dim , + customer_address , + call_center +WHERE d_date BETWEEN '2002-3-01' AND ( + Cast('2002-3-01' AS DATE) + INTERVAL '60' day) +AND cs1.cs_ship_date_sk = d_date_sk +AND cs1.cs_ship_addr_sk = ca_address_sk +AND ca_state = 'IA' +AND cs1.cs_call_center_sk = cc_call_center_sk +AND cc_county IN ('Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County', + 'Williamson County' ) +AND EXISTS + ( + SELECT * + FROM catalog_sales cs2 + WHERE cs1.cs_order_number = cs2.cs_order_number + AND cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk) +AND NOT EXISTS + ( + SELECT * + FROM catalog_returns cr1 + WHERE cs1.cs_order_number = cr1.cr_order_number) +ORDER BY count(DISTINCT cs_order_number) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query17.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query17.sql new file mode 100644 index 000000000..da916d4a5 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query17.sql @@ -0,0 +1,56 @@ +-- start query 17 in stream 0 using template query17.tpl +SELECT i_item_id, + i_item_desc, + s_state, + Count(ss_quantity) AS + store_sales_quantitycount, + Avg(ss_quantity) AS + store_sales_quantityave, + Stddev_samp(ss_quantity) AS + store_sales_quantitystdev, + Stddev_samp(ss_quantity) / Avg(ss_quantity) AS + store_sales_quantitycov, + Count(sr_return_quantity) AS + store_returns_quantitycount, + Avg(sr_return_quantity) AS + store_returns_quantityave, + Stddev_samp(sr_return_quantity) AS + store_returns_quantitystdev, + Stddev_samp(sr_return_quantity) / Avg(sr_return_quantity) AS + store_returns_quantitycov, + Count(cs_quantity) AS + catalog_sales_quantitycount, + Avg(cs_quantity) AS + catalog_sales_quantityave, + Stddev_samp(cs_quantity) / Avg(cs_quantity) AS + catalog_sales_quantitystdev, + Stddev_samp(cs_quantity) / Avg(cs_quantity) AS + catalog_sales_quantitycov +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_quarter_name = '1999Q1' + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_quarter_name IN ( '1999Q1', '1999Q2', '1999Q3' ) + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_quarter_name IN ( '1999Q1', '1999Q2', '1999Q3' ) +GROUP BY i_item_id, + i_item_desc, + s_state +ORDER BY i_item_id, + i_item_desc, + s_state +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query18.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query18.sql new file mode 100644 index 000000000..b59ce7ab0 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query18.sql @@ -0,0 +1,38 @@ +-- start query 18 in stream 0 using template query18.tpl +SELECT i_item_id, + ca_country, + ca_state, + ca_county, + Avg(Cast(cs_quantity AS DECIMAL(12, 2))) agg1, + Avg(Cast(cs_list_price AS DECIMAL(12, 2))) agg2, + Avg(Cast(cs_coupon_amt AS DECIMAL(12, 2))) agg3, + Avg(Cast(cs_sales_price AS DECIMAL(12, 2))) agg4, + Avg(Cast(cs_net_profit AS DECIMAL(12, 2))) agg5, + Avg(Cast(c_birth_year AS DECIMAL(12, 2))) agg6, + Avg(Cast(cd1.cd_dep_count AS DECIMAL(12, 2))) agg7 +FROM catalog_sales, + customer_demographics cd1, + customer_demographics cd2, + customer, + customer_address, + date_dim, + item +WHERE cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk + AND cs_bill_cdemo_sk = cd1.cd_demo_sk + AND cs_bill_customer_sk = c_customer_sk + AND cd1.cd_gender = 'F' + AND cd1.cd_education_status = 'Secondary' + AND c_current_cdemo_sk = cd2.cd_demo_sk + AND c_current_addr_sk = ca_address_sk + AND c_birth_month IN ( 8, 4, 2, 5, + 11, 9 ) + AND d_year = 2001 + AND ca_state IN ( 'KS', 'IA', 'AL', 'UT', + 'VA', 'NC', 'TX' ) +GROUP BY rollup ( i_item_id, ca_country, ca_state, ca_county ) +ORDER BY ca_country, + ca_state, + ca_county, + i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query19.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query19.sql new file mode 100644 index 000000000..c3039b2fd --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query19.sql @@ -0,0 +1,31 @@ +-- start query 19 in stream 0 using template query19.tpl +SELECT i_brand_id brand_id, + i_brand brand, + i_manufact_id, + i_manufact, + Sum(ss_ext_sales_price) ext_price +FROM date_dim, + store_sales, + item, + customer, + customer_address, + store +WHERE d_date_sk = ss_sold_date_sk + AND ss_item_sk = i_item_sk + AND i_manager_id = 38 + AND d_moy = 12 + AND d_year = 1998 + AND ss_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND Substr(ca_zip, 1, 5) <> Substr(s_zip, 1, 5) + AND ss_store_sk = s_store_sk +GROUP BY i_brand, + i_brand_id, + i_manufact_id, + i_manufact +ORDER BY ext_price DESC, + i_brand, + i_brand_id, + i_manufact_id, + i_manufact +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query2.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query2.sql new file mode 100644 index 000000000..c85af4246 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query2.sql @@ -0,0 +1,79 @@ +-- start query 2 in stream 0 using template query2.tpl +WITH wscs + AS (SELECT sold_date_sk, + sales_price + FROM (SELECT ws_sold_date_sk sold_date_sk, + ws_ext_sales_price sales_price + FROM web_sales) + UNION ALL + (SELECT cs_sold_date_sk sold_date_sk, + cs_ext_sales_price sales_price + FROM catalog_sales)), + wswscs + AS (SELECT d_week_seq, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN sales_price + ELSE NULL + END) sat_sales + FROM wscs, + date_dim + WHERE d_date_sk = sold_date_sk + GROUP BY d_week_seq) +SELECT d_week_seq1, + Round(sun_sales1 / sun_sales2, 2), + Round(mon_sales1 / mon_sales2, 2), + Round(tue_sales1 / tue_sales2, 2), + Round(wed_sales1 / wed_sales2, 2), + Round(thu_sales1 / thu_sales2, 2), + Round(fri_sales1 / fri_sales2, 2), + Round(sat_sales1 / sat_sales2, 2) +FROM (SELECT wswscs.d_week_seq d_week_seq1, + sun_sales sun_sales1, + mon_sales mon_sales1, + tue_sales tue_sales1, + wed_sales wed_sales1, + thu_sales thu_sales1, + fri_sales fri_sales1, + sat_sales sat_sales1 + FROM wswscs, + date_dim + WHERE date_dim.d_week_seq = wswscs.d_week_seq + AND d_year = 1998) y, + (SELECT wswscs.d_week_seq d_week_seq2, + sun_sales sun_sales2, + mon_sales mon_sales2, + tue_sales tue_sales2, + wed_sales wed_sales2, + thu_sales thu_sales2, + fri_sales fri_sales2, + sat_sales sat_sales2 + FROM wswscs, + date_dim + WHERE date_dim.d_week_seq = wswscs.d_week_seq + AND d_year = 1998 + 1) z +WHERE d_week_seq1 = d_week_seq2 - 53 +ORDER BY d_week_seq1; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query20.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query20.sql new file mode 100644 index 000000000..3c73340ea --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query20.sql @@ -0,0 +1,30 @@ +-- start query 20 in stream 0 using template query20.tpl +SELECT + i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price , + Sum(cs_ext_sales_price) AS itemrevenue , + Sum(cs_ext_sales_price)*100/Sum(Sum(cs_ext_sales_price)) OVER (partition BY i_class) AS revenueratio +FROM catalog_sales , + item , + date_dim +WHERE cs_item_sk = i_item_sk +AND i_category IN ('Children', + 'Women', + 'Electronics') +AND cs_sold_date_sk = d_date_sk +AND d_date BETWEEN Cast('2001-02-03' AS DATE) AND ( + Cast('2001-02-03' AS DATE) + INTERVAL '30' day) +GROUP BY i_item_id , + i_item_desc , + i_category , + i_class , + i_current_price +ORDER BY i_category , + i_class , + i_item_id , + i_item_desc , + revenueratio +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query21.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query21.sql new file mode 100644 index 000000000..1811226a8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query21.sql @@ -0,0 +1,38 @@ +-- start query 21 in stream 0 using template query21.tpl +SELECT + * +FROM ( + SELECT w_warehouse_name , + i_item_id , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) < Cast ('2000-05-13' AS DATE)) THEN inv_quantity_on_hand + ELSE 0 + END) AS inv_before , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) >= Cast ('2000-05-13' AS DATE)) THEN inv_quantity_on_hand + ELSE 0 + END) AS inv_after + FROM inventory , + warehouse , + item , + date_dim + WHERE i_current_price BETWEEN 0.99 AND 1.49 + AND i_item_sk = inv_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_date BETWEEN (Cast ('2000-05-13' AS DATE) - INTERVAL '30' day) AND ( + cast ('2000-05-13' AS date) + INTERVAL '30' day) + GROUP BY w_warehouse_name, + i_item_id) x +WHERE ( + CASE + WHEN inv_before > 0 THEN inv_after / inv_before + ELSE NULL + END) BETWEEN 2.0/3.0 AND 3.0/2.0 +ORDER BY w_warehouse_name , + i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query22.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query22.sql new file mode 100644 index 000000000..707fc7c85 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query22.sql @@ -0,0 +1,21 @@ +-- start query 22 in stream 0 using template query22.tpl +SELECT i_product_name, + i_brand, + i_class, + i_category, + Avg(inv_quantity_on_hand) qoh +FROM inventory, + date_dim, + item, + warehouse +WHERE inv_date_sk = d_date_sk + AND inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND d_month_seq BETWEEN 1205 AND 1205 + 11 +GROUP BY rollup( i_product_name, i_brand, i_class, i_category ) +ORDER BY qoh, + i_product_name, + i_brand, + i_class, + i_category +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query23.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query23.sql new file mode 100644 index 000000000..66ffc4412 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query23.sql @@ -0,0 +1,136 @@ +-- start query 23 in stream 0 using template query23.tpl +WITH frequent_ss_items + AS (SELECT Substr(i_item_desc, 1, 30) itemdesc, + i_item_sk item_sk, + d_date solddate, + Count(*) cnt + FROM store_sales, + date_dim, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY Substr(i_item_desc, 1, 30), + i_item_sk, + d_date + HAVING Count(*) > 4), + max_store_sales + AS (SELECT Max(csales) tpcds_cmax + FROM (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) csales + FROM store_sales, + customer, + date_dim + WHERE ss_customer_sk = c_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY c_customer_sk)), + best_ss_customer + AS (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) ssales + FROM store_sales, + customer + WHERE ss_customer_sk = c_customer_sk + GROUP BY c_customer_sk + HAVING Sum(ss_quantity * ss_sales_price) > + ( 95 / 100.0 ) * (SELECT * + FROM max_store_sales)) +SELECT Sum(sales) +FROM (SELECT cs_quantity * cs_list_price sales + FROM catalog_sales, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND cs_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer) + UNION ALL + SELECT ws_quantity * ws_list_price sales + FROM web_sales, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND ws_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer)) LIMIT 100; + +WITH frequent_ss_items + AS (SELECT Substr(i_item_desc, 1, 30) itemdesc, + i_item_sk item_sk, + d_date solddate, + Count(*) cnt + FROM store_sales, + date_dim, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY Substr(i_item_desc, 1, 30), + i_item_sk, + d_date + HAVING Count(*) > 4), + max_store_sales + AS (SELECT Max(csales) tpcds_cmax + FROM (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) csales + FROM store_sales, + customer, + date_dim + WHERE ss_customer_sk = c_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN ( 1998, 1998 + 1, 1998 + 2, 1998 + 3 ) + GROUP BY c_customer_sk)), + best_ss_customer + AS (SELECT c_customer_sk, + Sum(ss_quantity * ss_sales_price) ssales + FROM store_sales, + customer + WHERE ss_customer_sk = c_customer_sk + GROUP BY c_customer_sk + HAVING Sum(ss_quantity * ss_sales_price) > + ( 95 / 100.0 ) * (SELECT * + FROM max_store_sales)) +SELECT c_last_name, + c_first_name, + sales +FROM (SELECT c_last_name, + c_first_name, + Sum(cs_quantity * cs_list_price) sales + FROM catalog_sales, + customer, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND cs_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer) + AND cs_bill_customer_sk = c_customer_sk + GROUP BY c_last_name, + c_first_name + UNION ALL + SELECT c_last_name, + c_first_name, + Sum(ws_quantity * ws_list_price) sales + FROM web_sales, + customer, + date_dim + WHERE d_year = 1998 + AND d_moy = 6 + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk IN (SELECT item_sk + FROM frequent_ss_items) + AND ws_bill_customer_sk IN (SELECT c_customer_sk + FROM best_ss_customer) + AND ws_bill_customer_sk = c_customer_sk + GROUP BY c_last_name, + c_first_name) +ORDER BY c_last_name, + c_first_name, + sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query24.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query24.sql new file mode 100644 index 000000000..8382ca81d --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query24.sql @@ -0,0 +1,96 @@ +-- start query 24 in stream 0 using template query24.tpl +WITH ssales + AS (SELECT c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size, + Sum(ss_net_profit) netpaid + FROM store_sales, + store_returns, + store, + item, + customer, + customer_address + WHERE ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_customer_sk = c_customer_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND c_birth_country = Upper(ca_country) + AND s_zip = ca_zip + AND s_market_id = 6 + GROUP BY c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size) +SELECT c_last_name, + c_first_name, + s_store_name, + Sum(netpaid) paid +FROM ssales +WHERE i_color = 'papaya' +GROUP BY c_last_name, + c_first_name, + s_store_name +HAVING Sum(netpaid) > (SELECT 0.05 * Avg(netpaid) + FROM ssales); + +WITH ssales + AS (SELECT c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size, + Sum(ss_net_profit) netpaid + FROM store_sales, + store_returns, + store, + item, + customer, + customer_address + WHERE ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_customer_sk = c_customer_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND c_birth_country = Upper(ca_country) + AND s_zip = ca_zip + AND s_market_id = 6 + GROUP BY c_last_name, + c_first_name, + s_store_name, + ca_state, + s_state, + i_color, + i_current_price, + i_manager_id, + i_units, + i_size) +SELECT c_last_name, + c_first_name, + s_store_name, + Sum(netpaid) paid +FROM ssales +WHERE i_color = 'chartreuse' +GROUP BY c_last_name, + c_first_name, + s_store_name +HAVING Sum(netpaid) > (SELECT 0.05 * Avg(netpaid) + FROM ssales); diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query25.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query25.sql new file mode 100644 index 000000000..fe58702f6 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query25.sql @@ -0,0 +1,41 @@ +-- start query 25 in stream 0 using template query25.tpl +SELECT i_item_id, + i_item_desc, + s_store_id, + s_store_name, + Max(ss_net_profit) AS store_sales_profit, + Max(sr_net_loss) AS store_returns_loss, + Max(cs_net_profit) AS catalog_sales_profit +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_moy = 4 + AND d1.d_year = 2001 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_moy BETWEEN 4 AND 10 + AND d2.d_year = 2001 + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_moy BETWEEN 4 AND 10 + AND d3.d_year = 2001 +GROUP BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +ORDER BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query26.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query26.sql new file mode 100644 index 000000000..d4818a37b --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query26.sql @@ -0,0 +1,24 @@ +-- start query 26 in stream 0 using template query26.tpl +SELECT i_item_id, + Avg(cs_quantity) agg1, + Avg(cs_list_price) agg2, + Avg(cs_coupon_amt) agg3, + Avg(cs_sales_price) agg4 +FROM catalog_sales, + customer_demographics, + date_dim, + item, + promotion +WHERE cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk + AND cs_bill_cdemo_sk = cd_demo_sk + AND cs_promo_sk = p_promo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = 'Secondary' + AND ( p_channel_email = 'N' + OR p_channel_event = 'N' ) + AND d_year = 2000 +GROUP BY i_item_id +ORDER BY i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query27.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query27.sql new file mode 100644 index 000000000..98fe056e5 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query27.sql @@ -0,0 +1,27 @@ +-- start query 27 in stream 0 using template query27.tpl +SELECT i_item_id, + s_state, + Grouping(s_state) g_state, + Avg(ss_quantity) agg1, + Avg(ss_list_price) agg2, + Avg(ss_coupon_amt) agg3, + Avg(ss_sales_price) agg4 +FROM store_sales, + customer_demographics, + date_dim, + store, + item +WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND ss_store_sk = s_store_sk + AND ss_cdemo_sk = cd_demo_sk + AND cd_gender = 'M' + AND cd_marital_status = 'D' + AND cd_education_status = 'College' + AND d_year = 2000 + AND s_state IN ( 'TN', 'TN', 'TN', 'TN', + 'TN', 'TN' ) +GROUP BY rollup ( i_item_id, s_state ) +ORDER BY i_item_id, + s_state +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query28.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query28.sql new file mode 100644 index 000000000..3aa74a9d9 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query28.sql @@ -0,0 +1,51 @@ +-- start query 28 in stream 0 using template query28.tpl +SELECT * +FROM (SELECT Avg(ss_list_price) B1_LP, + Count(ss_list_price) B1_CNT, + Count(DISTINCT ss_list_price) B1_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 0 AND 5 + AND ( ss_list_price BETWEEN 18 AND 18 + 10 + OR ss_coupon_amt BETWEEN 1939 AND 1939 + 1000 + OR ss_wholesale_cost BETWEEN 34 AND 34 + 20 )) B1, + (SELECT Avg(ss_list_price) B2_LP, + Count(ss_list_price) B2_CNT, + Count(DISTINCT ss_list_price) B2_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 6 AND 10 + AND ( ss_list_price BETWEEN 1 AND 1 + 10 + OR ss_coupon_amt BETWEEN 35 AND 35 + 1000 + OR ss_wholesale_cost BETWEEN 50 AND 50 + 20 )) B2, + (SELECT Avg(ss_list_price) B3_LP, + Count(ss_list_price) B3_CNT, + Count(DISTINCT ss_list_price) B3_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 11 AND 15 + AND ( ss_list_price BETWEEN 91 AND 91 + 10 + OR ss_coupon_amt BETWEEN 1412 AND 1412 + 1000 + OR ss_wholesale_cost BETWEEN 17 AND 17 + 20 )) B3, + (SELECT Avg(ss_list_price) B4_LP, + Count(ss_list_price) B4_CNT, + Count(DISTINCT ss_list_price) B4_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 16 AND 20 + AND ( ss_list_price BETWEEN 9 AND 9 + 10 + OR ss_coupon_amt BETWEEN 5270 AND 5270 + 1000 + OR ss_wholesale_cost BETWEEN 29 AND 29 + 20 )) B4, + (SELECT Avg(ss_list_price) B5_LP, + Count(ss_list_price) B5_CNT, + Count(DISTINCT ss_list_price) B5_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 25 + AND ( ss_list_price BETWEEN 45 AND 45 + 10 + OR ss_coupon_amt BETWEEN 826 AND 826 + 1000 + OR ss_wholesale_cost BETWEEN 5 AND 5 + 20 )) B5, + (SELECT Avg(ss_list_price) B6_LP, + Count(ss_list_price) B6_CNT, + Count(DISTINCT ss_list_price) B6_CNTD + FROM store_sales + WHERE ss_quantity BETWEEN 26 AND 30 + AND ( ss_list_price BETWEEN 174 AND 174 + 10 + OR ss_coupon_amt BETWEEN 5548 AND 5548 + 1000 + OR ss_wholesale_cost BETWEEN 42 AND 42 + 20 )) B6 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query29.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query29.sql new file mode 100644 index 000000000..b685e6179 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query29.sql @@ -0,0 +1,40 @@ +-- start query 29 in stream 0 using template query29.tpl +SELECT i_item_id, + i_item_desc, + s_store_id, + s_store_name, + Avg(ss_quantity) AS store_sales_quantity, + Avg(sr_return_quantity) AS store_returns_quantity, + Avg(cs_quantity) AS catalog_sales_quantity +FROM store_sales, + store_returns, + catalog_sales, + date_dim d1, + date_dim d2, + date_dim d3, + store, + item +WHERE d1.d_moy = 4 + AND d1.d_year = 1998 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND ss_customer_sk = sr_customer_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND sr_returned_date_sk = d2.d_date_sk + AND d2.d_moy BETWEEN 4 AND 4 + 3 + AND d2.d_year = 1998 + AND sr_customer_sk = cs_bill_customer_sk + AND sr_item_sk = cs_item_sk + AND cs_sold_date_sk = d3.d_date_sk + AND d3.d_year IN ( 1998, 1998 + 1, 1998 + 2 ) +GROUP BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +ORDER BY i_item_id, + i_item_desc, + s_store_id, + s_store_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query3.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query3.sql new file mode 100644 index 000000000..711b0fe7c --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query3.sql @@ -0,0 +1,19 @@ +-- start query 3 in stream 0 using template query3.tpl +SELECT dt.d_year, + item.i_brand_id brand_id, + item.i_brand brand, + Sum(ss_ext_discount_amt) sum_agg +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manufact_id = 427 + AND dt.d_moy = 11 +GROUP BY dt.d_year, + item.i_brand, + item.i_brand_id +ORDER BY dt.d_year, + sum_agg DESC, + brand_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query30.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query30.sql new file mode 100644 index 000000000..4b0498f72 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query30.sql @@ -0,0 +1,49 @@ +-- start query 30 in stream 0 using template query30.tpl +WITH customer_total_return + AS (SELECT wr_returning_customer_sk AS ctr_customer_sk, + ca_state AS ctr_state, + Sum(wr_return_amt) AS ctr_total_return + FROM web_returns, + date_dim, + customer_address + WHERE wr_returned_date_sk = d_date_sk + AND d_year = 2000 + AND wr_returning_addr_sk = ca_address_sk + GROUP BY wr_returning_customer_sk, + ca_state) +SELECT c_customer_id, + c_salutation, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_day, + c_birth_month, + c_birth_year, + c_birth_country, + c_login, + c_email_address, + c_last_review_date, + ctr_total_return +FROM customer_total_return ctr1, + customer_address, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_state = ctr2.ctr_state) + AND ca_address_sk = c_current_addr_sk + AND ca_state = 'IN' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id, + c_salutation, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_day, + c_birth_month, + c_birth_year, + c_birth_country, + c_login, + c_email_address, + c_last_review_date, + ctr_total_return +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query31.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query31.sql new file mode 100644 index 000000000..8ab3ffb41 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query31.sql @@ -0,0 +1,73 @@ +-- start query 31 in stream 0 using template query31.tpl +WITH ss + AS (SELECT ca_county, + d_qoy, + d_year, + Sum(ss_ext_sales_price) AS store_sales + FROM store_sales, + date_dim, + customer_address + WHERE ss_sold_date_sk = d_date_sk + AND ss_addr_sk = ca_address_sk + GROUP BY ca_county, + d_qoy, + d_year), + ws + AS (SELECT ca_county, + d_qoy, + d_year, + Sum(ws_ext_sales_price) AS web_sales + FROM web_sales, + date_dim, + customer_address + WHERE ws_sold_date_sk = d_date_sk + AND ws_bill_addr_sk = ca_address_sk + GROUP BY ca_county, + d_qoy, + d_year) +SELECT ss1.ca_county, + ss1.d_year, + ws2.web_sales / ws1.web_sales web_q1_q2_increase, + ss2.store_sales / ss1.store_sales store_q1_q2_increase, + ws3.web_sales / ws2.web_sales web_q2_q3_increase, + ss3.store_sales / ss2.store_sales store_q2_q3_increase +FROM ss ss1, + ss ss2, + ss ss3, + ws ws1, + ws ws2, + ws ws3 +WHERE ss1.d_qoy = 1 + AND ss1.d_year = 2001 + AND ss1.ca_county = ss2.ca_county + AND ss2.d_qoy = 2 + AND ss2.d_year = 2001 + AND ss2.ca_county = ss3.ca_county + AND ss3.d_qoy = 3 + AND ss3.d_year = 2001 + AND ss1.ca_county = ws1.ca_county + AND ws1.d_qoy = 1 + AND ws1.d_year = 2001 + AND ws1.ca_county = ws2.ca_county + AND ws2.d_qoy = 2 + AND ws2.d_year = 2001 + AND ws1.ca_county = ws3.ca_county + AND ws3.d_qoy = 3 + AND ws3.d_year = 2001 + AND CASE + WHEN ws1.web_sales > 0 THEN ws2.web_sales / ws1.web_sales + ELSE NULL + END > CASE + WHEN ss1.store_sales > 0 THEN + ss2.store_sales / ss1.store_sales + ELSE NULL + END + AND CASE + WHEN ws2.web_sales > 0 THEN ws3.web_sales / ws2.web_sales + ELSE NULL + END > CASE + WHEN ss2.store_sales > 0 THEN + ss3.store_sales / ss2.store_sales + ELSE NULL + END +ORDER BY ss1.d_year; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query32.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query32.sql new file mode 100644 index 000000000..560c1e7cd --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query32.sql @@ -0,0 +1,21 @@ +-- start query 32 in stream 0 using template query32.tpl +SELECT + Sum(cs_ext_discount_amt) AS `excess discount amount` +FROM catalog_sales , + item , + date_dim +WHERE i_manufact_id = 610 +AND i_item_sk = cs_item_sk +AND d_date BETWEEN '2001-03-04' AND ( + Cast('2001-03-04' AS DATE) + INTERVAL '90' day) +AND d_date_sk = cs_sold_date_sk +AND cs_ext_discount_amt > + ( + SELECT 1.3 * avg(cs_ext_discount_amt) + FROM catalog_sales , + date_dim + WHERE cs_item_sk = i_item_sk + AND d_date BETWEEN '2001-03-04' AND ( + cast('2001-03-04' AS date) + INTERVAL '90' day) + AND d_date_sk = cs_sold_date_sk ) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query33.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query33.sql new file mode 100644 index 000000000..c4161054a --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query33.sql @@ -0,0 +1,65 @@ +-- start query 33 in stream 0 using template query33.tpl +WITH ss + AS (SELECT i_manufact_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id), + cs + AS (SELECT i_manufact_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id), + ws + AS (SELECT i_manufact_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_manufact_id IN (SELECT i_manufact_id + FROM item + WHERE i_category IN ( 'Books' )) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 3 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -5 + GROUP BY i_manufact_id) +SELECT i_manufact_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_manufact_id +ORDER BY total_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query34.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query34.sql new file mode 100644 index 000000000..613734ffa --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query34.sql @@ -0,0 +1,46 @@ +-- start query 34 in stream 0 using template query34.tpl +SELECT c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag, + ss_ticket_number, + cnt +FROM (SELECT ss_ticket_number, + ss_customer_sk, + Count(*) cnt + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND ( date_dim.d_dom BETWEEN 1 AND 3 + OR date_dim.d_dom BETWEEN 25 AND 28 ) + AND ( household_demographics.hd_buy_potential = '>10000' + OR household_demographics.hd_buy_potential = 'unknown' ) + AND household_demographics.hd_vehicle_count > 0 + AND ( CASE + WHEN household_demographics.hd_vehicle_count > 0 THEN + household_demographics.hd_dep_count / + household_demographics.hd_vehicle_count + ELSE NULL + END ) > 1.2 + AND date_dim.d_year IN ( 1999, 1999 + 1, 1999 + 2 ) + AND store.s_county IN ( 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + , + 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + ) + GROUP BY ss_ticket_number, + ss_customer_sk) dn, + customer +WHERE ss_customer_sk = c_customer_sk + AND cnt BETWEEN 15 AND 20 +ORDER BY c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag DESC; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query35.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query35.sql new file mode 100644 index 000000000..d5912a411 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query35.sql @@ -0,0 +1,58 @@ +-- start query 35 in stream 0 using template query35.tpl +SELECT ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + Count(*) cnt1, + Stddev_samp(cd_dep_count), + Avg(cd_dep_count), + Max(cd_dep_count), + cd_dep_employed_count, + Count(*) cnt2, + Stddev_samp(cd_dep_employed_count), + Avg(cd_dep_employed_count), + Max(cd_dep_employed_count), + cd_dep_college_count, + Count(*) cnt3, + Stddev_samp(cd_dep_college_count), + Avg(cd_dep_college_count), + Max(cd_dep_college_count) +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) + AND ( EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) + OR EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2001 + AND d_qoy < 4) ) +GROUP BY ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +ORDER BY ca_state, + cd_gender, + cd_marital_status, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query36.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query36.sql new file mode 100644 index 000000000..21d69fbbb --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query36.sql @@ -0,0 +1,31 @@ +-- start query 36 in stream 0 using template query36.tpl +SELECT Sum(ss_net_profit) / Sum(ss_ext_sales_price) AS + gross_margin, + i_category, + i_class, + Grouping(i_category) + Grouping(i_class) AS + lochierarchy, + Rank() + OVER ( + partition BY Grouping(i_category)+Grouping(i_class), CASE + WHEN Grouping( + i_class) = 0 THEN i_category END + ORDER BY Sum(ss_net_profit)/Sum(ss_ext_sales_price) ASC) AS + rank_within_parent +FROM store_sales, + date_dim d1, + item, + store +WHERE d1.d_year = 2000 + AND d1.d_date_sk = ss_sold_date_sk + AND i_item_sk = ss_item_sk + AND s_store_sk = ss_store_sk + AND s_state IN ( 'TN', 'TN', 'TN', 'TN', + 'TN', 'TN', 'TN', 'TN' ) +GROUP BY rollup( i_category, i_class ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN i_category + END, + rank_within_parent +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query37.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query37.sql new file mode 100644 index 000000000..52cd153a9 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query37.sql @@ -0,0 +1,22 @@ +-- start query 37 in stream 0 using template query37.tpl +SELECT + i_item_id , + i_item_desc , + i_current_price +FROM item, + inventory, + date_dim, + catalog_sales +WHERE i_current_price BETWEEN 20 AND 20 + 30 +AND inv_item_sk = i_item_sk +AND d_date_sk=inv_date_sk +AND d_date BETWEEN Cast('1999-03-06' AS DATE) AND ( + Cast('1999-03-06' AS DATE) + INTERVAL '60' day) +AND i_manufact_id IN (843,815,850,840) +AND inv_quantity_on_hand BETWEEN 100 AND 500 +AND cs_item_sk = i_item_sk +GROUP BY i_item_id, + i_item_desc, + i_current_price +ORDER BY i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query38.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query38.sql new file mode 100644 index 000000000..546068717 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query38.sql @@ -0,0 +1,32 @@ +-- start query 38 in stream 0 using template query38.tpl +SELECT Count(*) +FROM (SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM store_sales, + date_dim, + customer + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11 + INTERSECT + SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM catalog_sales, + date_dim, + customer + WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11 + INTERSECT + SELECT DISTINCT c_last_name, + c_first_name, + d_date + FROM web_sales, + date_dim, + customer + WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk + AND web_sales.ws_bill_customer_sk = customer.c_customer_sk + AND d_month_seq BETWEEN 1188 AND 1188 + 11) hot_cust +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query39.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query39.sql new file mode 100644 index 000000000..4abb67d30 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query39.sql @@ -0,0 +1,117 @@ +-- start query 39 in stream 0 using template query39.tpl +WITH inv + AS (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + stdev, + mean, + CASE mean + WHEN 0 THEN NULL + ELSE stdev / mean + END cov + FROM (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + Stddev_samp(inv_quantity_on_hand) stdev, + Avg(inv_quantity_on_hand) mean + FROM inventory, + item, + warehouse, + date_dim + WHERE inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_year = 2002 + GROUP BY w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy) foo + WHERE CASE mean + WHEN 0 THEN 0 + ELSE stdev / mean + END > 1) +SELECT inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.w_warehouse_sk, + inv2.i_item_sk, + inv2.d_moy, + inv2.mean, + inv2.cov +FROM inv inv1, + inv inv2 +WHERE inv1.i_item_sk = inv2.i_item_sk + AND inv1.w_warehouse_sk = inv2.w_warehouse_sk + AND inv1.d_moy = 1 + AND inv2.d_moy = 1 + 1 +ORDER BY inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.d_moy, + inv2.mean, + inv2.cov; + +WITH inv + AS (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + stdev, + mean, + CASE mean + WHEN 0 THEN NULL + ELSE stdev / mean + END cov + FROM (SELECT w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy, + Stddev_samp(inv_quantity_on_hand) stdev, + Avg(inv_quantity_on_hand) mean + FROM inventory, + item, + warehouse, + date_dim + WHERE inv_item_sk = i_item_sk + AND inv_warehouse_sk = w_warehouse_sk + AND inv_date_sk = d_date_sk + AND d_year = 2002 + GROUP BY w_warehouse_name, + w_warehouse_sk, + i_item_sk, + d_moy) foo + WHERE CASE mean + WHEN 0 THEN 0 + ELSE stdev / mean + END > 1) +SELECT inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.w_warehouse_sk, + inv2.i_item_sk, + inv2.d_moy, + inv2.mean, + inv2.cov +FROM inv inv1, + inv inv2 +WHERE inv1.i_item_sk = inv2.i_item_sk + AND inv1.w_warehouse_sk = inv2.w_warehouse_sk + AND inv1.d_moy = 1 + AND inv2.d_moy = 1 + 1 + AND inv1.cov > 1.5 +ORDER BY inv1.w_warehouse_sk, + inv1.i_item_sk, + inv1.d_moy, + inv1.mean, + inv1.cov, + inv2.d_moy, + inv2.mean, + inv2.cov; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query4.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query4.sql new file mode 100644 index 000000000..281b2d5d2 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query4.sql @@ -0,0 +1,152 @@ +-- start query 4 in stream 0 using template query4.tpl +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag customer_preferred_cust_flag + , + c_birth_country + customer_birth_country, + c_login customer_login, + c_email_address customer_email_address, + d_year dyear, + Sum(( ( ss_ext_list_price - ss_ext_wholesale_cost + - ss_ext_discount_amt + ) + + + ss_ext_sales_price ) / 2) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag, + c_birth_country customer_birth_country + , + c_login + customer_login, + c_email_address customer_email_address + , + d_year dyear + , + Sum(( ( ( cs_ext_list_price + - cs_ext_wholesale_cost + - cs_ext_discount_amt + ) + + cs_ext_sales_price ) / 2 )) year_total, + 'c' sale_type + FROM customer, + catalog_sales, + date_dim + WHERE c_customer_sk = cs_bill_customer_sk + AND cs_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + c_preferred_cust_flag + customer_preferred_cust_flag, + c_birth_country customer_birth_country + , + c_login + customer_login, + c_email_address customer_email_address + , + d_year dyear + , + Sum(( ( ( ws_ext_list_price + - ws_ext_wholesale_cost + - ws_ext_discount_amt + ) + + ws_ext_sales_price ) / 2 )) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + GROUP BY c_customer_id, + c_first_name, + c_last_name, + c_preferred_cust_flag, + c_birth_country, + c_login, + c_email_address, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_preferred_cust_flag +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_c_firstyear, + year_total t_c_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_c_secyear.customer_id + AND t_s_firstyear.customer_id = t_c_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_c_firstyear.sale_type = 'c' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_c_secyear.sale_type = 'c' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.dyear = 2001 + AND t_s_secyear.dyear = 2001 + 1 + AND t_c_firstyear.dyear = 2001 + AND t_c_secyear.dyear = 2001 + 1 + AND t_w_firstyear.dyear = 2001 + AND t_w_secyear.dyear = 2001 + 1 + AND t_s_firstyear.year_total > 0 + AND t_c_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / + t_c_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE NULL + END + AND CASE + WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / + t_c_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_w_firstyear.year_total > 0 THEN + t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE NULL + END +ORDER BY t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name, + t_s_secyear.customer_preferred_cust_flag +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query40.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query40.sql new file mode 100644 index 000000000..f7f84b873 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query40.sql @@ -0,0 +1,35 @@ +-- start query 40 in stream 0 using template query40.tpl +SELECT + w_state , + i_item_id , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) < Cast ('2002-06-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash,0) + ELSE 0 + END) AS sales_before , + Sum( + CASE + WHEN ( + Cast(d_date AS DATE) >= Cast ('2002-06-01' AS DATE)) THEN cs_sales_price - COALESCE(cr_refunded_cash,0) + ELSE 0 + END) AS sales_after +FROM catalog_sales +LEFT OUTER JOIN catalog_returns +ON ( + cs_order_number = cr_order_number + AND cs_item_sk = cr_item_sk) , + warehouse , + item , + date_dim +WHERE i_current_price BETWEEN 0.99 AND 1.49 +AND i_item_sk = cs_item_sk +AND cs_warehouse_sk = w_warehouse_sk +AND cs_sold_date_sk = d_date_sk +AND d_date BETWEEN (Cast ('2002-06-01' AS DATE) - INTERVAL '30' day) AND ( + cast ('2002-06-01' AS date) + INTERVAL '30' day) +GROUP BY w_state, + i_item_id +ORDER BY w_state, + i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query41.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query41.sql new file mode 100644 index 000000000..467ed35ae --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query41.sql @@ -0,0 +1,66 @@ +-- start query 41 in stream 0 using template query41.tpl +SELECT Distinct(i_product_name) +FROM item i1 +WHERE i_manufact_id BETWEEN 765 AND 765 + 40 + AND (SELECT Count(*) AS item_cnt + FROM item + WHERE ( i_manufact = i1.i_manufact + AND ( ( i_category = 'Women' + AND ( i_color = 'dim' + OR i_color = 'green' ) + AND ( i_units = 'Gross' + OR i_units = 'Dozen' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) + OR ( i_category = 'Women' + AND ( i_color = 'navajo' + OR i_color = 'aquamarine' ) + AND ( i_units = 'Case' + OR i_units = 'Unknown' ) + AND ( i_size = 'large' + OR i_size = 'N/A' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'indian' + OR i_color = 'dark' ) + AND ( i_units = 'Oz' + OR i_units = 'Lb' ) + AND ( i_size = 'extra large' + OR i_size = 'small' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'peach' + OR i_color = 'purple' ) + AND ( i_units = 'Tbl' + OR i_units = 'Bunch' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) ) ) + OR ( i_manufact = i1.i_manufact + AND ( ( i_category = 'Women' + AND ( i_color = 'orchid' + OR i_color = 'peru' ) + AND ( i_units = 'Carton' + OR i_units = 'Cup' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) + OR ( i_category = 'Women' + AND ( i_color = 'violet' + OR i_color = 'papaya' ) + AND ( i_units = 'Ounce' + OR i_units = 'Box' ) + AND ( i_size = 'large' + OR i_size = 'N/A' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'drab' + OR i_color = 'grey' ) + AND ( i_units = 'Each' + OR i_units = 'N/A' ) + AND ( i_size = 'extra large' + OR i_size = 'small' ) ) + OR ( i_category = 'Men' + AND ( i_color = 'chocolate' + OR i_color = 'antique' ) + AND ( i_units = 'Dram' + OR i_units = 'Gram' ) + AND ( i_size = 'economy' + OR i_size = 'petite' ) ) ) )) > 0 +ORDER BY i_product_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query42.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query42.sql new file mode 100644 index 000000000..706d3c6f1 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query42.sql @@ -0,0 +1,21 @@ +-- start query 42 in stream 0 using template query42.tpl +SELECT dt.d_year, + item.i_category_id, + item.i_category, + Sum(ss_ext_sales_price) +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manager_id = 1 + AND dt.d_moy = 12 + AND dt.d_year = 2000 +GROUP BY dt.d_year, + item.i_category_id, + item.i_category +ORDER BY Sum(ss_ext_sales_price) DESC, + dt.d_year, + item.i_category_id, + item.i_category +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query43.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query43.sql new file mode 100644 index 000000000..e7624a19c --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query43.sql @@ -0,0 +1,50 @@ +-- start query 43 in stream 0 using template query43.tpl +SELECT s_store_name, + s_store_id, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN ss_sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN ss_sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN ss_sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN ss_sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN ss_sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN ss_sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN ss_sales_price + ELSE NULL + END) sat_sales +FROM date_dim, + store_sales, + store +WHERE d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + AND s_gmt_offset = -5 + AND d_year = 2002 +GROUP BY s_store_name, + s_store_id +ORDER BY s_store_name, + s_store_id, + sun_sales, + mon_sales, + tue_sales, + wed_sales, + thu_sales, + fri_sales, + sat_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query44.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query44.sql new file mode 100644 index 000000000..ba869d3ce --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query44.sql @@ -0,0 +1,51 @@ +-- start query 44 in stream 0 using template query44.tpl +SELECT asceding.rnk, + i1.i_product_name best_performing, + i2.i_product_name worst_performing +FROM (SELECT * + FROM (SELECT item_sk, + Rank() + OVER ( + ORDER BY rank_col ASC) rnk + FROM (SELECT ss_item_sk item_sk, + Avg(ss_net_profit) rank_col + FROM store_sales ss1 + WHERE ss_store_sk = 4 + GROUP BY ss_item_sk + HAVING Avg(ss_net_profit) > 0.9 * + (SELECT Avg(ss_net_profit) + rank_col + FROM store_sales + WHERE ss_store_sk = 4 + AND ss_cdemo_sk IS + NULL + GROUP BY ss_store_sk))V1) + V11 + WHERE rnk < 11) asceding, + (SELECT * + FROM (SELECT item_sk, + Rank() + OVER ( + ORDER BY rank_col DESC) rnk + FROM (SELECT ss_item_sk item_sk, + Avg(ss_net_profit) rank_col + FROM store_sales ss1 + WHERE ss_store_sk = 4 + GROUP BY ss_item_sk + HAVING Avg(ss_net_profit) > 0.9 * + (SELECT Avg(ss_net_profit) + rank_col + FROM store_sales + WHERE ss_store_sk = 4 + AND ss_cdemo_sk IS + NULL + GROUP BY ss_store_sk))V2) + V21 + WHERE rnk < 11) descending, + item i1, + item i2 +WHERE asceding.rnk = descending.rnk + AND i1.i_item_sk = asceding.item_sk + AND i2.i_item_sk = descending.item_sk +ORDER BY asceding.rnk +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query45.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query45.sql new file mode 100644 index 000000000..e8d35c1c0 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query45.sql @@ -0,0 +1,28 @@ +-- start query 45 in stream 0 using template query45.tpl +SELECT ca_zip, + ca_state, + Sum(ws_sales_price) +FROM web_sales, + customer, + customer_address, + date_dim, + item +WHERE ws_bill_customer_sk = c_customer_sk + AND c_current_addr_sk = ca_address_sk + AND ws_item_sk = i_item_sk + AND ( Substr(ca_zip, 1, 5) IN ( '85669', '86197', '88274', '83405', + '86475', '85392', '85460', '80348', + '81792' ) + OR i_item_id IN (SELECT i_item_id + FROM item + WHERE i_item_sk IN ( 2, 3, 5, 7, + 11, 13, 17, 19, + 23, 29 )) ) + AND ws_sold_date_sk = d_date_sk + AND d_qoy = 1 + AND d_year = 2000 +GROUP BY ca_zip, + ca_state +ORDER BY ca_zip, + ca_state +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query46.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query46.sql new file mode 100644 index 000000000..b88b36400 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query46.sql @@ -0,0 +1,44 @@ +-- start query 46 in stream 0 using template query46.tpl +SELECT c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number, + amt, + profit +FROM (SELECT ss_ticket_number, + ss_customer_sk, + ca_city bought_city, + Sum(ss_coupon_amt) amt, + Sum(ss_net_profit) profit + FROM store_sales, + date_dim, + store, + household_demographics, + customer_address + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND store_sales.ss_addr_sk = customer_address.ca_address_sk + AND ( household_demographics.hd_dep_count = 6 + OR household_demographics.hd_vehicle_count = 0 ) + AND date_dim.d_dow IN ( 6, 0 ) + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_city IN ( 'Midway', 'Fairview', 'Fairview', + 'Fairview', + 'Fairview' ) + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + ca_city) dn, + customer, + customer_address current_addr +WHERE ss_customer_sk = c_customer_sk + AND customer.c_current_addr_sk = current_addr.ca_address_sk + AND current_addr.ca_city <> bought_city +ORDER BY c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query47.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query47.sql new file mode 100644 index 000000000..36ddcbbcb --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query47.sql @@ -0,0 +1,72 @@ +-- start query 47 in stream 0 using template query47.tpl +WITH v1 + AS (SELECT i_category, + i_brand, + s_store_name, + s_company_name, + d_year, + d_moy, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_category, i_brand, s_store_name, + s_company_name, + d_year) + avg_monthly_sales, + Rank() + OVER ( + partition BY i_category, i_brand, s_store_name, + s_company_name + ORDER BY d_year, d_moy) rn + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ( d_year = 1999 + OR ( d_year = 1999 - 1 + AND d_moy = 12 ) + OR ( d_year = 1999 + 1 + AND d_moy = 1 ) ) + GROUP BY i_category, + i_brand, + s_store_name, + s_company_name, + d_year, + d_moy), + v2 + AS (SELECT v1.i_category, + v1.d_year, + v1.d_moy, + v1.avg_monthly_sales, + v1.sum_sales, + v1_lag.sum_sales psum, + v1_lead.sum_sales nsum + FROM v1, + v1 v1_lag, + v1 v1_lead + WHERE v1.i_category = v1_lag.i_category + AND v1.i_category = v1_lead.i_category + AND v1.i_brand = v1_lag.i_brand + AND v1.i_brand = v1_lead.i_brand + AND v1.s_store_name = v1_lag.s_store_name + AND v1.s_store_name = v1_lead.s_store_name + AND v1.s_company_name = v1_lag.s_company_name + AND v1.s_company_name = v1_lead.s_company_name + AND v1.rn = v1_lag.rn + 1 + AND v1.rn = v1_lead.rn - 1) +SELECT * +FROM v2 +WHERE d_year = 1999 + AND avg_monthly_sales > 0 + AND CASE + WHEN avg_monthly_sales > 0 THEN Abs(sum_sales - avg_monthly_sales) + / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + 3 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query48.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query48.sql new file mode 100644 index 000000000..aa8375382 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query48.sql @@ -0,0 +1,34 @@ +-- start query 48 in stream 0 using template query48.tpl +SELECT Sum (ss_quantity) +FROM store_sales, + store, + customer_demographics, + customer_address, + date_dim +WHERE s_store_sk = ss_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND ( ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'W' + AND cd_education_status = 'Secondary' + AND ss_sales_price BETWEEN 100.00 AND 150.00 ) + OR ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'M' + AND cd_education_status = 'Advanced Degree' + AND ss_sales_price BETWEEN 50.00 AND 100.00 ) + OR ( cd_demo_sk = ss_cdemo_sk + AND cd_marital_status = 'D' + AND cd_education_status = '2 yr Degree' + AND ss_sales_price BETWEEN 150.00 AND 200.00 ) ) + AND ( ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'TX', 'NE', 'MO' ) + AND ss_net_profit BETWEEN 0 AND 2000 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'CO', 'TN', 'ND' ) + AND ss_net_profit BETWEEN 150 AND 3000 ) + OR ( ss_addr_sk = ca_address_sk + AND ca_country = 'United States' + AND ca_state IN ( 'OK', 'PA', 'CA' ) + AND ss_net_profit BETWEEN 50 AND 25000 ) ); diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query49.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query49.sql new file mode 100644 index 000000000..9c9eb073c --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query49.sql @@ -0,0 +1,133 @@ +-- start query 49 in stream 0 using template query49.tpl +SELECT 'web' AS channel, + web.item, + web.return_ratio, + web.return_rank, + web.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT ws.ws_item_sk AS + item, + ( Cast(Sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMAL(15, + 4)) / + Cast( + Sum(COALESCE(ws.ws_quantity, 0)) AS DECIMAL(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMAL(15, 4)) + / Cast( + Sum( + COALESCE(ws.ws_net_paid, 0)) AS DECIMAL(15, + 4)) ) AS + currency_ratio + FROM web_sales ws + LEFT OUTER JOIN web_returns wr + ON ( ws.ws_order_number = wr.wr_order_number + AND ws.ws_item_sk = wr.wr_item_sk ), + date_dim + WHERE wr.wr_return_amt > 10000 + AND ws.ws_net_profit > 1 + AND ws.ws_net_paid > 0 + AND ws.ws_quantity > 0 + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY ws.ws_item_sk) in_web) web +WHERE ( web.return_rank <= 10 + OR web.currency_rank <= 10 ) +UNION +SELECT 'catalog' AS channel, + catalog.item, + catalog.return_ratio, + catalog.return_rank, + catalog.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT cs.cs_item_sk AS + item, + ( Cast(Sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMAL(15, + 4)) / + Cast( + Sum(COALESCE(cs.cs_quantity, 0)) AS DECIMAL(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMAL(15, 4 + )) / + Cast(Sum( + COALESCE(cs.cs_net_paid, 0)) AS DECIMAL( + 15, 4)) ) AS + currency_ratio + FROM catalog_sales cs + LEFT OUTER JOIN catalog_returns cr + ON ( cs.cs_order_number = cr.cr_order_number + AND cs.cs_item_sk = cr.cr_item_sk ), + date_dim + WHERE cr.cr_return_amount > 10000 + AND cs.cs_net_profit > 1 + AND cs.cs_net_paid > 0 + AND cs.cs_quantity > 0 + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY cs.cs_item_sk) in_cat) catalog +WHERE ( catalog.return_rank <= 10 + OR catalog.currency_rank <= 10 ) +UNION +SELECT 'store' AS channel, + store.item, + store.return_ratio, + store.return_rank, + store.currency_rank +FROM (SELECT item, + return_ratio, + currency_ratio, + Rank() + OVER ( + ORDER BY return_ratio) AS return_rank, + Rank() + OVER ( + ORDER BY currency_ratio) AS currency_rank + FROM (SELECT sts.ss_item_sk AS + item, + ( Cast(Sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMAL(15, + 4)) / + Cast( + Sum(COALESCE(sts.ss_quantity, 0)) AS DECIMAL(15, 4)) ) AS + return_ratio, + ( Cast(Sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMAL(15, 4)) + / Cast( + Sum( + COALESCE(sts.ss_net_paid, 0)) AS DECIMAL(15, 4)) ) AS + currency_ratio + FROM store_sales sts + LEFT OUTER JOIN store_returns sr + ON ( sts.ss_ticket_number = + sr.sr_ticket_number + AND sts.ss_item_sk = sr.sr_item_sk ), + date_dim + WHERE sr.sr_return_amt > 10000 + AND sts.ss_net_profit > 1 + AND sts.ss_net_paid > 0 + AND sts.ss_quantity > 0 + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 12 + GROUP BY sts.ss_item_sk) in_store) store +WHERE ( store.return_rank <= 10 + OR store.currency_rank <= 10 ) +ORDER BY 1, + 4, + 5 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query5.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query5.sql new file mode 100644 index 000000000..0c03b0ddc --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query5.sql @@ -0,0 +1,127 @@ +-- start query 5 in stream 0 using template query5.tpl +WITH ssr AS +( + SELECT s_store_id, + Sum(sales_price) AS sales, + Sum(profit) AS profit, + Sum(return_amt) AS returns1, + Sum(net_loss) AS profit_loss + FROM ( + SELECT ss_store_sk AS store_sk, + ss_sold_date_sk AS date_sk, + ss_ext_sales_price AS sales_price, + ss_net_profit AS profit, + Cast(0 AS DECIMAL(7,2)) AS return_amt, + Cast(0 AS DECIMAL(7,2)) AS net_loss + FROM store_sales + UNION ALL + SELECT sr_store_sk AS store_sk, + sr_returned_date_sk AS date_sk, + Cast(0 AS DECIMAL(7,2)) AS sales_price, + Cast(0 AS DECIMAL(7,2)) AS profit, + sr_return_amt AS return_amt, + sr_net_loss AS net_loss + FROM store_returns ) salesreturns, + date_dim, + store + WHERE date_sk = d_date_sk + AND d_date BETWEEN Cast('2002-08-22' AS DATE) AND ( + Cast('2002-08-22' AS DATE) + INTERVAL '14' day) + AND store_sk = s_store_sk + GROUP BY s_store_id) , csr AS +( + SELECT cp_catalog_page_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS returns1, + sum(net_loss) AS profit_loss + FROM ( + SELECT cs_catalog_page_sk AS page_sk, + cs_sold_date_sk AS date_sk, + cs_ext_sales_price AS sales_price, + cs_net_profit AS profit, + cast(0 AS decimal(7,2)) AS return_amt, + cast(0 AS decimal(7,2)) AS net_loss + FROM catalog_sales + UNION ALL + SELECT cr_catalog_page_sk AS page_sk, + cr_returned_date_sk AS date_sk, + cast(0 AS decimal(7,2)) AS sales_price, + cast(0 AS decimal(7,2)) AS profit, + cr_return_amount AS return_amt, + cr_net_loss AS net_loss + FROM catalog_returns ) salesreturns, + date_dim, + catalog_page + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('2002-08-22' AS date) AND ( + cast('2002-08-22' AS date) + INTERVAL '14' day) + AND page_sk = cp_catalog_page_sk + GROUP BY cp_catalog_page_id) , wsr AS +( + SELECT web_site_id, + sum(sales_price) AS sales, + sum(profit) AS profit, + sum(return_amt) AS returns1, + sum(net_loss) AS profit_loss + FROM ( + SELECT ws_web_site_sk AS wsr_web_site_sk, + ws_sold_date_sk AS date_sk, + ws_ext_sales_price AS sales_price, + ws_net_profit AS profit, + cast(0 AS decimal(7,2)) AS return_amt, + cast(0 AS decimal(7,2)) AS net_loss + FROM web_sales + UNION ALL + SELECT ws_web_site_sk AS wsr_web_site_sk, + wr_returned_date_sk AS date_sk, + cast(0 AS decimal(7,2)) AS sales_price, + cast(0 AS decimal(7,2)) AS profit, + wr_return_amt AS return_amt, + wr_net_loss AS net_loss + FROM web_returns + LEFT OUTER JOIN web_sales + ON ( + wr_item_sk = ws_item_sk + AND wr_order_number = ws_order_number) ) salesreturns, + date_dim, + web_site + WHERE date_sk = d_date_sk + AND d_date BETWEEN cast('2002-08-22' AS date) AND ( + cast('2002-08-22' AS date) + INTERVAL '14' day) + AND wsr_web_site_sk = web_site_sk + GROUP BY web_site_id) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + 'store' + || s_store_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM ssr + UNION ALL + SELECT 'catalog channel' AS channel , + 'catalog_page' + || cp_catalog_page_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM csr + UNION ALL + SELECT 'web channel' AS channel , + 'web_site' + || web_site_id AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM wsr ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query50.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query50.sql new file mode 100644 index 000000000..e7ddae136 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query50.sql @@ -0,0 +1,71 @@ +-- start query 50 in stream 0 using template query50.tpl +SELECT s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip, + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS `30 days`, + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 30 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 60 ) + THEN 1 + ELSE 0 + END) AS `31-60 days`, + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 60 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 90 ) + THEN 1 + ELSE 0 + END) AS `61-90 days`, + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 90 ) + AND ( sr_returned_date_sk - ss_sold_date_sk <= 120 ) + THEN 1 + ELSE 0 + END) AS `91-120 days`, + Sum(CASE + WHEN ( sr_returned_date_sk - ss_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS `>120 days` +FROM store_sales, + store_returns, + store, + date_dim d1, + date_dim d2 +WHERE d2.d_year = 2002 + AND d2.d_moy = 9 + AND ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk + AND ss_sold_date_sk = d1.d_date_sk + AND sr_returned_date_sk = d2.d_date_sk + AND ss_customer_sk = sr_customer_sk + AND ss_store_sk = s_store_sk +GROUP BY s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip +ORDER BY s_store_name, + s_company_id, + s_street_number, + s_street_name, + s_street_type, + s_suite_number, + s_city, + s_county, + s_state, + s_zip +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query51.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query51.sql new file mode 100644 index 000000000..2c73e7d60 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query51.sql @@ -0,0 +1,54 @@ +-- start query 51 in stream 0 using template query51.tpl +WITH web_v1 AS +( + SELECT ws_item_sk item_sk, + d_date, + sum(Sum(ws_sales_price)) OVER (partition BY ws_item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) cume_sales + FROM web_sales , + date_dim + WHERE ws_sold_date_sk=d_date_sk + AND d_month_seq BETWEEN 1192 AND 1192+11 + AND ws_item_sk IS NOT NULL + GROUP BY ws_item_sk, + d_date), store_v1 AS +( + SELECT ss_item_sk item_sk, + d_date, + sum(sum(ss_sales_price)) OVER (partition BY ss_item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) cume_sales + FROM store_sales , + date_dim + WHERE ss_sold_date_sk=d_date_sk + AND d_month_seq BETWEEN 1192 AND 1192+11 + AND ss_item_sk IS NOT NULL + GROUP BY ss_item_sk, + d_date) +SELECT + * +FROM ( + SELECT item_sk , + d_date , + web_sales , + store_sales , + max(web_sales) OVER (partition BY item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) web_cumulative , + max(store_sales) OVER (partition BY item_sk ORDER BY d_date rows BETWEEN UNBOUNDED PRECEDING AND CURRENT row) store_cumulative + FROM ( + SELECT + CASE + WHEN web.item_sk IS NOT NULL THEN web.item_sk + ELSE store.item_sk + END item_sk , + CASE + WHEN web.d_date IS NOT NULL THEN web.d_date + ELSE store.d_date + END d_date , + web.cume_sales web_sales , + store.cume_sales store_sales + FROM web_v1 web + FULL OUTER JOIN store_v1 store + ON ( + web.item_sk = store.item_sk + AND web.d_date = store.d_date) )x )y +WHERE web_cumulative > store_cumulative +ORDER BY item_sk , + d_date +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query52.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query52.sql new file mode 100644 index 000000000..065f3f169 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query52.sql @@ -0,0 +1,20 @@ +-- start query 52 in stream 0 using template query52.tpl +SELECT dt.d_year, + item.i_brand_id brand_id, + item.i_brand brand, + Sum(ss_ext_sales_price) ext_price +FROM date_dim dt, + store_sales, + item +WHERE dt.d_date_sk = store_sales.ss_sold_date_sk + AND store_sales.ss_item_sk = item.i_item_sk + AND item.i_manager_id = 1 + AND dt.d_moy = 11 + AND dt.d_year = 1999 +GROUP BY dt.d_year, + item.i_brand, + item.i_brand_id +ORDER BY dt.d_year, + ext_price DESC, + brand_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query53.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query53.sql new file mode 100644 index 000000000..4c0452a32 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query53.sql @@ -0,0 +1,46 @@ +-- start query 53 in stream 0 using template query53.tpl +SELECT * +FROM (SELECT i_manufact_id, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_manufact_id) avg_quarterly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_month_seq IN ( 1199, 1199 + 1, 1199 + 2, 1199 + 3, + 1199 + 4, 1199 + 5, 1199 + 6, 1199 + 7, + 1199 + 8, 1199 + 9, 1199 + 10, 1199 + 11 ) + AND ( ( i_category IN ( 'Books', 'Children', 'Electronics' ) + AND i_class IN ( 'personal', 'portable', 'reference', + 'self-help' ) + AND i_brand IN ( 'scholaramalgamalg #14', + 'scholaramalgamalg #7' + , + 'exportiunivamalg #9', + 'scholaramalgamalg #9' ) + ) + OR ( i_category IN ( 'Women', 'Music', 'Men' ) + AND i_class IN ( 'accessories', 'classical', + 'fragrances', + 'pants' ) + AND i_brand IN ( 'amalgimporto #1', + 'edu packscholar #1', + 'exportiimporto #1', + 'importoamalg #1' ) ) ) + GROUP BY i_manufact_id, + d_qoy) tmp1 +WHERE CASE + WHEN avg_quarterly_sales > 0 THEN Abs (sum_sales - avg_quarterly_sales) + / + avg_quarterly_sales + ELSE NULL + END > 0.1 +ORDER BY avg_quarterly_sales, + sum_sales, + i_manufact_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query54.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query54.sql new file mode 100644 index 000000000..b776c9590 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query54.sql @@ -0,0 +1,57 @@ +-- start query 54 in stream 0 using template query54.tpl +WITH my_customers + AS (SELECT DISTINCT c_customer_sk, + c_current_addr_sk + FROM (SELECT cs_sold_date_sk sold_date_sk, + cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + FROM catalog_sales + UNION ALL + SELECT ws_sold_date_sk sold_date_sk, + ws_bill_customer_sk customer_sk, + ws_item_sk item_sk + FROM web_sales) cs_or_ws_sales, + item, + date_dim, + customer + WHERE sold_date_sk = d_date_sk + AND item_sk = i_item_sk + AND i_category = 'Sports' + AND i_class = 'fitness' + AND c_customer_sk = cs_or_ws_sales.customer_sk + AND d_moy = 5 + AND d_year = 2000), + my_revenue + AS (SELECT c_customer_sk, + Sum(ss_ext_sales_price) AS revenue + FROM my_customers, + store_sales, + customer_address, + store, + date_dim + WHERE c_current_addr_sk = ca_address_sk + AND ca_county = s_county + AND ca_state = s_state + AND ss_sold_date_sk = d_date_sk + AND c_customer_sk = ss_customer_sk + AND d_month_seq BETWEEN (SELECT DISTINCT d_month_seq + 1 + FROM date_dim + WHERE d_year = 2000 + AND d_moy = 5) AND + (SELECT DISTINCT + d_month_seq + 3 + FROM date_dim + WHERE d_year = 2000 + AND d_moy = 5) + GROUP BY c_customer_sk), + segments + AS (SELECT Cast(( revenue / 50 ) AS INT) AS segment + FROM my_revenue) +SELECT segment, + Count(*) AS num_customers, + segment * 50 AS segment_base +FROM segments +GROUP BY segment +ORDER BY segment, + num_customers +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query55.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query55.sql new file mode 100644 index 000000000..37ed2563f --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query55.sql @@ -0,0 +1,17 @@ +-- start query 55 in stream 0 using template query55.tpl +SELECT i_brand_id brand_id, + i_brand brand, + Sum(ss_ext_sales_price) ext_price +FROM date_dim, + store_sales, + item +WHERE d_date_sk = ss_sold_date_sk + AND ss_item_sk = i_item_sk + AND i_manager_id = 33 + AND d_moy = 12 + AND d_year = 1998 +GROUP BY i_brand, + i_brand_id +ORDER BY ext_price DESC, + i_brand_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query56.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query56.sql new file mode 100644 index 000000000..7d2ad0629 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query56.sql @@ -0,0 +1,68 @@ +-- start query 56 in stream 0 using template query56.tpl +WITH ss + AS (SELECT i_item_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + cs + AS (SELECT i_item_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + ws + AS (SELECT i_item_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_color IN ( 'firebrick', 'rosy', 'white' ) + ) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1998 + AND d_moy = 3 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id) +SELECT i_item_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_item_id +ORDER BY total_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query57.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query57.sql new file mode 100644 index 000000000..5cb73bce4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query57.sql @@ -0,0 +1,66 @@ +-- start query 57 in stream 0 using template query57.tpl +WITH v1 + AS (SELECT i_category, + i_brand, + cc_name, + d_year, + d_moy, + Sum(cs_sales_price) sum_sales + , + Avg(Sum(cs_sales_price)) + OVER ( + partition BY i_category, i_brand, cc_name, d_year) + avg_monthly_sales + , + Rank() + OVER ( + partition BY i_category, i_brand, cc_name + ORDER BY d_year, d_moy) rn + FROM item, + catalog_sales, + date_dim, + call_center + WHERE cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND cc_call_center_sk = cs_call_center_sk + AND ( d_year = 2000 + OR ( d_year = 2000 - 1 + AND d_moy = 12 ) + OR ( d_year = 2000 + 1 + AND d_moy = 1 ) ) + GROUP BY i_category, + i_brand, + cc_name, + d_year, + d_moy), + v2 + AS (SELECT v1.i_brand, + v1.d_year, + v1.avg_monthly_sales, + v1.sum_sales, + v1_lag.sum_sales psum, + v1_lead.sum_sales nsum + FROM v1, + v1 v1_lag, + v1 v1_lead + WHERE v1.i_category = v1_lag.i_category + AND v1.i_category = v1_lead.i_category + AND v1.i_brand = v1_lag.i_brand + AND v1.i_brand = v1_lead.i_brand + AND v1. cc_name = v1_lag. cc_name + AND v1. cc_name = v1_lead. cc_name + AND v1.rn = v1_lag.rn + 1 + AND v1.rn = v1_lead.rn - 1) +SELECT * +FROM v2 +WHERE d_year = 2000 + AND avg_monthly_sales > 0 + AND CASE + WHEN avg_monthly_sales > 0 THEN Abs(sum_sales - avg_monthly_sales) + / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + 3 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query58.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query58.sql new file mode 100644 index 000000000..8611390de --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query58.sql @@ -0,0 +1,72 @@ +-- start query 58 in stream 0 using template query58.tpl +WITH ss_items + AS (SELECT i_item_id item_id, + Sum(ss_ext_sales_price) ss_item_rev + FROM store_sales, + item, + date_dim + WHERE ss_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_date = '2002-02-25' + )) + AND ss_sold_date_sk = d_date_sk + GROUP BY i_item_id), + cs_items + AS (SELECT i_item_id item_id, + Sum(cs_ext_sales_price) cs_item_rev + FROM catalog_sales, + item, + date_dim + WHERE cs_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_date = '2002-02-25' + )) + AND cs_sold_date_sk = d_date_sk + GROUP BY i_item_id), + ws_items + AS (SELECT i_item_id item_id, + Sum(ws_ext_sales_price) ws_item_rev + FROM web_sales, + item, + date_dim + WHERE ws_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq = (SELECT d_week_seq + FROM date_dim + WHERE d_date = '2002-02-25' + )) + AND ws_sold_date_sk = d_date_sk + GROUP BY i_item_id) +SELECT ss_items.item_id, + ss_item_rev, + ss_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 * + 100 ss_dev, + cs_item_rev, + cs_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 * + 100 cs_dev, + ws_item_rev, + ws_item_rev / ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 * + 100 ws_dev, + ( ss_item_rev + cs_item_rev + ws_item_rev ) / 3 + average +FROM ss_items, + cs_items, + ws_items +WHERE ss_items.item_id = cs_items.item_id + AND ss_items.item_id = ws_items.item_id + AND ss_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev + AND ss_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev + AND cs_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev + AND cs_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev + AND ws_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev + AND ws_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev +ORDER BY item_id, + ss_item_rev +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query59.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query59.sql new file mode 100644 index 000000000..3caa54048 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query59.sql @@ -0,0 +1,85 @@ +-- start query 59 in stream 0 using template query59.tpl +WITH wss + AS (SELECT d_week_seq, + ss_store_sk, + Sum(CASE + WHEN ( d_day_name = 'Sunday' ) THEN ss_sales_price + ELSE NULL + END) sun_sales, + Sum(CASE + WHEN ( d_day_name = 'Monday' ) THEN ss_sales_price + ELSE NULL + END) mon_sales, + Sum(CASE + WHEN ( d_day_name = 'Tuesday' ) THEN ss_sales_price + ELSE NULL + END) tue_sales, + Sum(CASE + WHEN ( d_day_name = 'Wednesday' ) THEN ss_sales_price + ELSE NULL + END) wed_sales, + Sum(CASE + WHEN ( d_day_name = 'Thursday' ) THEN ss_sales_price + ELSE NULL + END) thu_sales, + Sum(CASE + WHEN ( d_day_name = 'Friday' ) THEN ss_sales_price + ELSE NULL + END) fri_sales, + Sum(CASE + WHEN ( d_day_name = 'Saturday' ) THEN ss_sales_price + ELSE NULL + END) sat_sales + FROM store_sales, + date_dim + WHERE d_date_sk = ss_sold_date_sk + GROUP BY d_week_seq, + ss_store_sk) +SELECT s_store_name1, + s_store_id1, + d_week_seq1, + sun_sales1 / sun_sales2, + mon_sales1 / mon_sales2, + tue_sales1 / tue_sales2, + wed_sales1 / wed_sales2, + thu_sales1 / thu_sales2, + fri_sales1 / fri_sales2, + sat_sales1 / sat_sales2 +FROM (SELECT s_store_name s_store_name1, + wss.d_week_seq d_week_seq1, + s_store_id s_store_id1, + sun_sales sun_sales1, + mon_sales mon_sales1, + tue_sales tue_sales1, + wed_sales wed_sales1, + thu_sales thu_sales1, + fri_sales fri_sales1, + sat_sales sat_sales1 + FROM wss, + store, + date_dim d + WHERE d.d_week_seq = wss.d_week_seq + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11) y, + (SELECT s_store_name s_store_name2, + wss.d_week_seq d_week_seq2, + s_store_id s_store_id2, + sun_sales sun_sales2, + mon_sales mon_sales2, + tue_sales tue_sales2, + wed_sales wed_sales2, + thu_sales thu_sales2, + fri_sales fri_sales2, + sat_sales sat_sales2 + FROM wss, + store, + date_dim d + WHERE d.d_week_seq = wss.d_week_seq + AND ss_store_sk = s_store_sk + AND d_month_seq BETWEEN 1196 + 12 AND 1196 + 23) x +WHERE s_store_id1 = s_store_id2 + AND d_week_seq1 = d_week_seq2 - 52 +ORDER BY s_store_name1, + s_store_id1, + d_week_seq1 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query6.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query6.sql new file mode 100644 index 000000000..1739ea575 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query6.sql @@ -0,0 +1,23 @@ +-- start query 6 in stream 0 using template query6.tpl +SELECT a.ca_state state, + Count(*) cnt +FROM customer_address a, + customer c, + store_sales s, + date_dim d, + item i +WHERE a.ca_address_sk = c.c_current_addr_sk + AND c.c_customer_sk = s.ss_customer_sk + AND s.ss_sold_date_sk = d.d_date_sk + AND s.ss_item_sk = i.i_item_sk + AND d.d_month_seq = (SELECT DISTINCT ( d_month_seq ) + FROM date_dim + WHERE d_year = 1998 + AND d_moy = 7) + AND i.i_current_price > 1.2 * (SELECT Avg(j.i_current_price) + FROM item j + WHERE j.i_category = i.i_category) +GROUP BY a.ca_state +HAVING Count(*) >= 10 +ORDER BY cnt +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query60.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query60.sql new file mode 100644 index 000000000..541108dea --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query60.sql @@ -0,0 +1,66 @@ +-- start query 60 in stream 0 using template query60.tpl +WITH ss + AS (SELECT i_item_id, + Sum(ss_ext_sales_price) total_sales + FROM store_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND ss_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + cs + AS (SELECT i_item_id, + Sum(cs_ext_sales_price) total_sales + FROM catalog_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND cs_item_sk = i_item_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND cs_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id), + ws + AS (SELECT i_item_id, + Sum(ws_ext_sales_price) total_sales + FROM web_sales, + date_dim, + customer_address, + item + WHERE i_item_id IN (SELECT i_item_id + FROM item + WHERE i_category IN ( 'Jewelry' )) + AND ws_item_sk = i_item_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 1999 + AND d_moy = 8 + AND ws_bill_addr_sk = ca_address_sk + AND ca_gmt_offset = -6 + GROUP BY i_item_id) +SELECT i_item_id, + Sum(total_sales) total_sales +FROM (SELECT * + FROM ss + UNION ALL + SELECT * + FROM cs + UNION ALL + SELECT * + FROM ws) tmp1 +GROUP BY i_item_id +ORDER BY i_item_id, + total_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query61.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query61.sql new file mode 100644 index 000000000..d6d50753c --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query61.sql @@ -0,0 +1,47 @@ +-- start query 61 in stream 0 using template query61.tpl +SELECT promotions, + total, + Cast(promotions AS DECIMAL(15, 4)) / + Cast(total AS DECIMAL(15, 4)) * 100 +FROM (SELECT Sum(ss_ext_sales_price) promotions + FROM store_sales, + store, + promotion, + date_dim, + customer, + customer_address, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ss_promo_sk = p_promo_sk + AND ss_customer_sk = c_customer_sk + AND ca_address_sk = c_current_addr_sk + AND ss_item_sk = i_item_sk + AND ca_gmt_offset = -7 + AND i_category = 'Books' + AND ( p_channel_dmail = 'Y' + OR p_channel_email = 'Y' + OR p_channel_tv = 'Y' ) + AND s_gmt_offset = -7 + AND d_year = 2001 + AND d_moy = 12) promotional_sales, + (SELECT Sum(ss_ext_sales_price) total + FROM store_sales, + store, + date_dim, + customer, + customer_address, + item + WHERE ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND ss_customer_sk = c_customer_sk + AND ca_address_sk = c_current_addr_sk + AND ss_item_sk = i_item_sk + AND ca_gmt_offset = -7 + AND i_category = 'Books' + AND s_gmt_offset = -7 + AND d_year = 2001 + AND d_moy = 12) all_sales +ORDER BY promotions, + total +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query62.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query62.sql new file mode 100644 index 000000000..f83715e73 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query62.sql @@ -0,0 +1,45 @@ +-- start query 62 in stream 0 using template query62.tpl +SELECT Substr(w_warehouse_name, 1, 20), + sm_type, + web_name, + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS `30 days`, + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 30 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 60 ) THEN 1 + ELSE 0 + END) AS `31-60 days`, + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 60 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 90 ) THEN 1 + ELSE 0 + END) AS `61-90 days`, + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 90 ) + AND ( ws_ship_date_sk - ws_sold_date_sk <= 120 ) THEN + 1 + ELSE 0 + END) AS `91-120 days`, + Sum(CASE + WHEN ( ws_ship_date_sk - ws_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS `>120 days` +FROM web_sales, + warehouse, + ship_mode, + web_site, + date_dim +WHERE d_month_seq BETWEEN 1222 AND 1222 + 11 + AND ws_ship_date_sk = d_date_sk + AND ws_warehouse_sk = w_warehouse_sk + AND ws_ship_mode_sk = sm_ship_mode_sk + AND ws_web_site_sk = web_site_sk +GROUP BY Substr(w_warehouse_name, 1, 20), + sm_type, + web_name +ORDER BY Substr(w_warehouse_name, 1, 20), + sm_type, + web_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query63.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query63.sql new file mode 100644 index 000000000..8706bb492 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query63.sql @@ -0,0 +1,45 @@ +-- start query 63 in stream 0 using template query63.tpl +SELECT * +FROM (SELECT i_manager_id, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_manager_id) avg_monthly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_month_seq IN ( 1200, 1200 + 1, 1200 + 2, 1200 + 3, + 1200 + 4, 1200 + 5, 1200 + 6, 1200 + 7, + 1200 + 8, 1200 + 9, 1200 + 10, 1200 + 11 ) + AND ( ( i_category IN ( 'Books', 'Children', 'Electronics' ) + AND i_class IN ( 'personal', 'portable', 'reference', + 'self-help' ) + AND i_brand IN ( 'scholaramalgamalg #14', + 'scholaramalgamalg #7' + , + 'exportiunivamalg #9', + 'scholaramalgamalg #9' ) + ) + OR ( i_category IN ( 'Women', 'Music', 'Men' ) + AND i_class IN ( 'accessories', 'classical', + 'fragrances', + 'pants' ) + AND i_brand IN ( 'amalgimporto #1', + 'edu packscholar #1', + 'exportiimporto #1', + 'importoamalg #1' ) ) ) + GROUP BY i_manager_id, + d_moy) tmp1 +WHERE CASE + WHEN avg_monthly_sales > 0 THEN Abs (sum_sales - avg_monthly_sales) / + avg_monthly_sales + ELSE NULL + END > 0.1 +ORDER BY i_manager_id, + avg_monthly_sales, + sum_sales +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query64.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query64.sql new file mode 100644 index 000000000..0c5d1d3d8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query64.sql @@ -0,0 +1,122 @@ +-- start query 64 in stream 0 using template query64.tpl +WITH cs_ui + AS (SELECT cs_item_sk, + Sum(cs_ext_list_price) AS sale, + Sum(cr_refunded_cash + cr_reversed_charge + + cr_store_credit) AS refund + FROM catalog_sales, + catalog_returns + WHERE cs_item_sk = cr_item_sk + AND cs_order_number = cr_order_number + GROUP BY cs_item_sk + HAVING Sum(cs_ext_list_price) > 2 * Sum( + cr_refunded_cash + cr_reversed_charge + + cr_store_credit)), + cross_sales + AS (SELECT i_product_name product_name, + i_item_sk item_sk, + s_store_name store_name, + s_zip store_zip, + ad1.ca_street_number b_street_number, + ad1.ca_street_name b_streen_name, + ad1.ca_city b_city, + ad1.ca_zip b_zip, + ad2.ca_street_number c_street_number, + ad2.ca_street_name c_street_name, + ad2.ca_city c_city, + ad2.ca_zip c_zip, + d1.d_year AS syear, + d2.d_year AS fsyear, + d3.d_year s2year, + Count(*) cnt, + Sum(ss_wholesale_cost) s1, + Sum(ss_list_price) s2, + Sum(ss_coupon_amt) s3 + FROM store_sales, + store_returns, + cs_ui, + date_dim d1, + date_dim d2, + date_dim d3, + store, + customer, + customer_demographics cd1, + customer_demographics cd2, + promotion, + household_demographics hd1, + household_demographics hd2, + customer_address ad1, + customer_address ad2, + income_band ib1, + income_band ib2, + item + WHERE ss_store_sk = s_store_sk + AND ss_sold_date_sk = d1.d_date_sk + AND ss_customer_sk = c_customer_sk + AND ss_cdemo_sk = cd1.cd_demo_sk + AND ss_hdemo_sk = hd1.hd_demo_sk + AND ss_addr_sk = ad1.ca_address_sk + AND ss_item_sk = i_item_sk + AND ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number + AND ss_item_sk = cs_ui.cs_item_sk + AND c_current_cdemo_sk = cd2.cd_demo_sk + AND c_current_hdemo_sk = hd2.hd_demo_sk + AND c_current_addr_sk = ad2.ca_address_sk + AND c_first_sales_date_sk = d2.d_date_sk + AND c_first_shipto_date_sk = d3.d_date_sk + AND ss_promo_sk = p_promo_sk + AND hd1.hd_income_band_sk = ib1.ib_income_band_sk + AND hd2.hd_income_band_sk = ib2.ib_income_band_sk + AND cd1.cd_marital_status <> cd2.cd_marital_status + AND i_color IN ( 'cyan', 'peach', 'blush', 'frosted', + 'powder', 'orange' ) + AND i_current_price BETWEEN 58 AND 58 + 10 + AND i_current_price BETWEEN 58 + 1 AND 58 + 15 + GROUP BY i_product_name, + i_item_sk, + s_store_name, + s_zip, + ad1.ca_street_number, + ad1.ca_street_name, + ad1.ca_city, + ad1.ca_zip, + ad2.ca_street_number, + ad2.ca_street_name, + ad2.ca_city, + ad2.ca_zip, + d1.d_year, + d2.d_year, + d3.d_year) +SELECT cs1.product_name, + cs1.store_name, + cs1.store_zip, + cs1.b_street_number, + cs1.b_streen_name, + cs1.b_city, + cs1.b_zip, + cs1.c_street_number, + cs1.c_street_name, + cs1.c_city, + cs1.c_zip, + cs1.syear, + cs1.cnt, + cs1.s1, + cs1.s2, + cs1.s3, + cs2.s1, + cs2.s2, + cs2.s3, + cs2.syear, + cs2.cnt +FROM cross_sales cs1, + cross_sales cs2 +WHERE cs1.item_sk = cs2.item_sk + AND cs1.syear = 2001 + AND cs2.syear = 2001 + 1 + AND cs2.cnt <= cs1.cnt + AND cs1.store_name = cs2.store_name + AND cs1.store_zip = cs2.store_zip +ORDER BY cs1.product_name, + cs1.store_name, + cs2.cnt; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query65.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query65.sql new file mode 100644 index 000000000..399f128c3 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query65.sql @@ -0,0 +1,37 @@ +-- start query 65 in stream 0 using template query65.tpl +SELECT s_store_name, + i_item_desc, + sc.revenue, + i_current_price, + i_wholesale_cost, + i_brand +FROM store, + item, + (SELECT ss_store_sk, + Avg(revenue) AS ave + FROM (SELECT ss_store_sk, + ss_item_sk, + Sum(ss_sales_price) AS revenue + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1199 AND 1199 + 11 + GROUP BY ss_store_sk, + ss_item_sk) sa + GROUP BY ss_store_sk) sb, + (SELECT ss_store_sk, + ss_item_sk, + Sum(ss_sales_price) AS revenue + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1199 AND 1199 + 11 + GROUP BY ss_store_sk, + ss_item_sk) sc +WHERE sb.ss_store_sk = sc.ss_store_sk + AND sc.revenue <= 0.1 * sb.ave + AND s_store_sk = sc.ss_store_sk + AND i_item_sk = sc.ss_item_sk +ORDER BY s_store_name, + i_item_desc +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query66.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query66.sql new file mode 100644 index 000000000..79446555f --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query66.sql @@ -0,0 +1,306 @@ +-- start query 66 in stream 0 using template query66.tpl +SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + ship_carriers, + year1, + Sum(jan_sales) AS jan_sales, + Sum(feb_sales) AS feb_sales, + Sum(mar_sales) AS mar_sales, + Sum(apr_sales) AS apr_sales, + Sum(may_sales) AS may_sales, + Sum(jun_sales) AS jun_sales, + Sum(jul_sales) AS jul_sales, + Sum(aug_sales) AS aug_sales, + Sum(sep_sales) AS sep_sales, + Sum(oct_sales) AS oct_sales, + Sum(nov_sales) AS nov_sales, + Sum(dec_sales) AS dec_sales, + Sum(jan_sales / w_warehouse_sq_ft) AS jan_sales_per_sq_foot, + Sum(feb_sales / w_warehouse_sq_ft) AS feb_sales_per_sq_foot, + Sum(mar_sales / w_warehouse_sq_ft) AS mar_sales_per_sq_foot, + Sum(apr_sales / w_warehouse_sq_ft) AS apr_sales_per_sq_foot, + Sum(may_sales / w_warehouse_sq_ft) AS may_sales_per_sq_foot, + Sum(jun_sales / w_warehouse_sq_ft) AS jun_sales_per_sq_foot, + Sum(jul_sales / w_warehouse_sq_ft) AS jul_sales_per_sq_foot, + Sum(aug_sales / w_warehouse_sq_ft) AS aug_sales_per_sq_foot, + Sum(sep_sales / w_warehouse_sq_ft) AS sep_sales_per_sq_foot, + Sum(oct_sales / w_warehouse_sq_ft) AS oct_sales_per_sq_foot, + Sum(nov_sales / w_warehouse_sq_ft) AS nov_sales_per_sq_foot, + Sum(dec_sales / w_warehouse_sq_ft) AS dec_sales_per_sq_foot, + Sum(jan_net) AS jan_net, + Sum(feb_net) AS feb_net, + Sum(mar_net) AS mar_net, + Sum(apr_net) AS apr_net, + Sum(may_net) AS may_net, + Sum(jun_net) AS jun_net, + Sum(jul_net) AS jul_net, + Sum(aug_net) AS aug_net, + Sum(sep_net) AS sep_net, + Sum(oct_net) AS oct_net, + Sum(nov_net) AS nov_net, + Sum(dec_net) AS dec_net +FROM (SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + 'ZOUROS' + || ',' + || 'ZHOU' AS ship_carriers, + d_year AS year1, + Sum(CASE + WHEN d_moy = 1 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jan_sales, + Sum(CASE + WHEN d_moy = 2 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS feb_sales, + Sum(CASE + WHEN d_moy = 3 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS mar_sales, + Sum(CASE + WHEN d_moy = 4 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS apr_sales, + Sum(CASE + WHEN d_moy = 5 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS may_sales, + Sum(CASE + WHEN d_moy = 6 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jun_sales, + Sum(CASE + WHEN d_moy = 7 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS jul_sales, + Sum(CASE + WHEN d_moy = 8 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS aug_sales, + Sum(CASE + WHEN d_moy = 9 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS sep_sales, + Sum(CASE + WHEN d_moy = 10 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS oct_sales, + Sum(CASE + WHEN d_moy = 11 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS nov_sales, + Sum(CASE + WHEN d_moy = 12 THEN ws_ext_sales_price * ws_quantity + ELSE 0 + END) AS dec_sales, + Sum(CASE + WHEN d_moy = 1 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jan_net, + Sum(CASE + WHEN d_moy = 2 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS feb_net, + Sum(CASE + WHEN d_moy = 3 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS mar_net, + Sum(CASE + WHEN d_moy = 4 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS apr_net, + Sum(CASE + WHEN d_moy = 5 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS may_net, + Sum(CASE + WHEN d_moy = 6 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jun_net, + Sum(CASE + WHEN d_moy = 7 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS jul_net, + Sum(CASE + WHEN d_moy = 8 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS aug_net, + Sum(CASE + WHEN d_moy = 9 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS sep_net, + Sum(CASE + WHEN d_moy = 10 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS oct_net, + Sum(CASE + WHEN d_moy = 11 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS nov_net, + Sum(CASE + WHEN d_moy = 12 THEN ws_net_paid_inc_ship * ws_quantity + ELSE 0 + END) AS dec_net + FROM web_sales, + warehouse, + date_dim, + time_dim, + ship_mode + WHERE ws_warehouse_sk = w_warehouse_sk + AND ws_sold_date_sk = d_date_sk + AND ws_sold_time_sk = t_time_sk + AND ws_ship_mode_sk = sm_ship_mode_sk + AND d_year = 1998 + AND t_time BETWEEN 7249 AND 7249 + 28800 + AND sm_carrier IN ( 'ZOUROS', 'ZHOU' ) + GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + d_year + UNION ALL + SELECT w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + 'ZOUROS' + || ',' + || 'ZHOU' AS ship_carriers, + d_year AS year1, + Sum(CASE + WHEN d_moy = 1 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jan_sales, + Sum(CASE + WHEN d_moy = 2 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS feb_sales, + Sum(CASE + WHEN d_moy = 3 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS mar_sales, + Sum(CASE + WHEN d_moy = 4 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS apr_sales, + Sum(CASE + WHEN d_moy = 5 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS may_sales, + Sum(CASE + WHEN d_moy = 6 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jun_sales, + Sum(CASE + WHEN d_moy = 7 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS jul_sales, + Sum(CASE + WHEN d_moy = 8 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS aug_sales, + Sum(CASE + WHEN d_moy = 9 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS sep_sales, + Sum(CASE + WHEN d_moy = 10 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS oct_sales, + Sum(CASE + WHEN d_moy = 11 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS nov_sales, + Sum(CASE + WHEN d_moy = 12 THEN cs_ext_sales_price * cs_quantity + ELSE 0 + END) AS dec_sales, + Sum(CASE + WHEN d_moy = 1 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jan_net, + Sum(CASE + WHEN d_moy = 2 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS feb_net, + Sum(CASE + WHEN d_moy = 3 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS mar_net, + Sum(CASE + WHEN d_moy = 4 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS apr_net, + Sum(CASE + WHEN d_moy = 5 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS may_net, + Sum(CASE + WHEN d_moy = 6 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jun_net, + Sum(CASE + WHEN d_moy = 7 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS jul_net, + Sum(CASE + WHEN d_moy = 8 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS aug_net, + Sum(CASE + WHEN d_moy = 9 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS sep_net, + Sum(CASE + WHEN d_moy = 10 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS oct_net, + Sum(CASE + WHEN d_moy = 11 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS nov_net, + Sum(CASE + WHEN d_moy = 12 THEN cs_net_paid * cs_quantity + ELSE 0 + END) AS dec_net + FROM catalog_sales, + warehouse, + date_dim, + time_dim, + ship_mode + WHERE cs_warehouse_sk = w_warehouse_sk + AND cs_sold_date_sk = d_date_sk + AND cs_sold_time_sk = t_time_sk + AND cs_ship_mode_sk = sm_ship_mode_sk + AND d_year = 1998 + AND t_time BETWEEN 7249 AND 7249 + 28800 + AND sm_carrier IN ( 'ZOUROS', 'ZHOU' ) + GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + d_year) x +GROUP BY w_warehouse_name, + w_warehouse_sq_ft, + w_city, + w_county, + w_state, + w_country, + ship_carriers, + year1 +ORDER BY w_warehouse_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query67.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query67.sql new file mode 100644 index 000000000..18c39edb5 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query67.sql @@ -0,0 +1,43 @@ +-- start query 67 in stream 0 using template query67.tpl +select * +from (select i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sumsales + ,rank() over (partition by i_category order by sumsales desc) rk + from (select i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales + from store_sales + ,date_dim + ,store + ,item + where ss_sold_date_sk=d_date_sk + and ss_item_sk=i_item_sk + and ss_store_sk = s_store_sk + and d_month_seq between 1181 and 1181+11 + group by rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2 +where rk <= 100 +order by i_category + ,i_class + ,i_brand + ,i_product_name + ,d_year + ,d_qoy + ,d_moy + ,s_store_id + ,sumsales + ,rk +limit 100 +; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query68.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query68.sql new file mode 100644 index 000000000..f943603f8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query68.sql @@ -0,0 +1,41 @@ +-- start query 68 in stream 0 using template query68.tpl +SELECT c_last_name, + c_first_name, + ca_city, + bought_city, + ss_ticket_number, + extended_price, + extended_tax, + list_price +FROM (SELECT ss_ticket_number, + ss_customer_sk, + ca_city bought_city, + Sum(ss_ext_sales_price) extended_price, + Sum(ss_ext_list_price) list_price, + Sum(ss_ext_tax) extended_tax + FROM store_sales, + date_dim, + store, + household_demographics, + customer_address + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND store_sales.ss_addr_sk = customer_address.ca_address_sk + AND date_dim.d_dom BETWEEN 1 AND 2 + AND ( household_demographics.hd_dep_count = 8 + OR household_demographics.hd_vehicle_count = 3 ) + AND date_dim.d_year IN ( 1998, 1998 + 1, 1998 + 2 ) + AND store.s_city IN ( 'Fairview', 'Midway' ) + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + ca_city) dn, + customer, + customer_address current_addr +WHERE ss_customer_sk = c_customer_sk + AND customer.c_current_addr_sk = current_addr.ca_address_sk + AND current_addr.ca_city <> bought_city +ORDER BY c_last_name, + ss_ticket_number +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query69.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query69.sql new file mode 100644 index 000000000..e22094bd8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query69.sql @@ -0,0 +1,46 @@ +SELECT cd_gender, + cd_marital_status, + cd_education_status, + Count(*) cnt1, + cd_purchase_estimate, + Count(*) cnt2, + cd_credit_rating, + Count(*) cnt3 +FROM customer c, + customer_address ca, + customer_demographics +WHERE c.c_current_addr_sk = ca.ca_address_sk + AND ca_state IN ( 'KS', 'AZ', 'NE' ) + AND cd_demo_sk = c.c_current_cdemo_sk + AND EXISTS (SELECT * + FROM store_sales, + date_dim + WHERE c.c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) + AND ( NOT EXISTS (SELECT * + FROM web_sales, + date_dim + WHERE c.c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) + AND NOT EXISTS (SELECT * + FROM catalog_sales, + date_dim + WHERE c.c_customer_sk = cs_ship_customer_sk + AND cs_sold_date_sk = d_date_sk + AND d_year = 2004 + AND d_moy BETWEEN 3 AND 3 + 2) ) +GROUP BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating +ORDER BY cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query7.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query7.sql new file mode 100644 index 000000000..6e28b46c8 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query7.sql @@ -0,0 +1,24 @@ +-- start query 7 in stream 0 using template query7.tpl +SELECT i_item_id, + Avg(ss_quantity) agg1, + Avg(ss_list_price) agg2, + Avg(ss_coupon_amt) agg3, + Avg(ss_sales_price) agg4 +FROM store_sales, + customer_demographics, + date_dim, + item, + promotion +WHERE ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + AND ss_cdemo_sk = cd_demo_sk + AND ss_promo_sk = p_promo_sk + AND cd_gender = 'F' + AND cd_marital_status = 'W' + AND cd_education_status = '2 yr Degree' + AND ( p_channel_email = 'N' + OR p_channel_event = 'N' ) + AND d_year = 1998 +GROUP BY i_item_id +ORDER BY i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query70.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query70.sql new file mode 100644 index 000000000..34c5e0656 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query70.sql @@ -0,0 +1,40 @@ +-- start query 70 in stream 0 using template query70.tpl +SELECT Sum(ss_net_profit) AS total_sum, + s_state, + s_county, + Grouping(s_state) + Grouping(s_county) AS lochierarchy, + Rank() + OVER ( + partition BY Grouping(s_state)+Grouping(s_county), CASE WHEN + Grouping( + s_county) = 0 THEN s_state END + ORDER BY Sum(ss_net_profit) DESC) AS rank_within_parent +FROM store_sales, + date_dim d1, + store +WHERE d1.d_month_seq BETWEEN 1200 AND 1200 + 11 + AND d1.d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + AND s_state IN (SELECT s_state + FROM (SELECT s_state AS + s_state, + Rank() + OVER ( + partition BY s_state + ORDER BY Sum(ss_net_profit) DESC) AS + ranking + FROM store_sales, + store, + date_dim + WHERE d_month_seq BETWEEN 1200 AND 1200 + 11 + AND d_date_sk = ss_sold_date_sk + AND s_store_sk = ss_store_sk + GROUP BY s_state) tmp1 + WHERE ranking <= 5) +GROUP BY rollup( s_state, s_county ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN s_state + END, + rank_within_parent +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query71.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query71.sql new file mode 100644 index 000000000..42075471e --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query71.sql @@ -0,0 +1,48 @@ +-- start query 71 in stream 0 using template query71.tpl +SELECT i_brand_id brand_id, + i_brand brand, + t_hour, + t_minute, + Sum(ext_price) ext_price +FROM item, + (SELECT ws_ext_sales_price AS ext_price, + ws_sold_date_sk AS sold_date_sk, + ws_item_sk AS sold_item_sk, + ws_sold_time_sk AS time_sk + FROM web_sales, + date_dim + WHERE d_date_sk = ws_sold_date_sk + AND d_moy = 11 + AND d_year = 2001 + UNION ALL + SELECT cs_ext_sales_price AS ext_price, + cs_sold_date_sk AS sold_date_sk, + cs_item_sk AS sold_item_sk, + cs_sold_time_sk AS time_sk + FROM catalog_sales, + date_dim + WHERE d_date_sk = cs_sold_date_sk + AND d_moy = 11 + AND d_year = 2001 + UNION ALL + SELECT ss_ext_sales_price AS ext_price, + ss_sold_date_sk AS sold_date_sk, + ss_item_sk AS sold_item_sk, + ss_sold_time_sk AS time_sk + FROM store_sales, + date_dim + WHERE d_date_sk = ss_sold_date_sk + AND d_moy = 11 + AND d_year = 2001) AS tmp, + time_dim +WHERE sold_item_sk = i_item_sk + AND i_manager_id = 1 + AND time_sk = t_time_sk + AND ( t_meal_time = 'breakfast' + OR t_meal_time = 'dinner' ) +GROUP BY i_brand, + i_brand_id, + t_hour, + t_minute +ORDER BY ext_price DESC, + i_brand_id; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query72.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query72.sql new file mode 100644 index 000000000..e0e082cb4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query72.sql @@ -0,0 +1,49 @@ +-- start query 72 in stream 0 using template query72.tpl +SELECT i_item_desc, + w_warehouse_name, + d1.d_week_seq, + Sum(CASE + WHEN p_promo_sk IS NULL THEN 1 + ELSE 0 + END) no_promo, + Sum(CASE + WHEN p_promo_sk IS NOT NULL THEN 1 + ELSE 0 + END) promo, + Count(*) total_cnt +FROM catalog_sales + JOIN inventory + ON ( cs_item_sk = inv_item_sk ) + JOIN warehouse + ON ( w_warehouse_sk = inv_warehouse_sk ) + JOIN item + ON ( i_item_sk = cs_item_sk ) + JOIN customer_demographics + ON ( cs_bill_cdemo_sk = cd_demo_sk ) + JOIN household_demographics + ON ( cs_bill_hdemo_sk = hd_demo_sk ) + JOIN date_dim d1 + ON ( cs_sold_date_sk = d1.d_date_sk ) + JOIN date_dim d2 + ON ( inv_date_sk = d2.d_date_sk ) + JOIN date_dim d3 + ON ( cs_ship_date_sk = d3.d_date_sk ) + LEFT OUTER JOIN promotion + ON ( cs_promo_sk = p_promo_sk ) + LEFT OUTER JOIN catalog_returns + ON ( cr_item_sk = cs_item_sk + AND cr_order_number = cs_order_number ) +WHERE d1.d_week_seq = d2.d_week_seq + AND inv_quantity_on_hand < cs_quantity + AND d3.d_date > d1.d_date + INTERVAL '5' day + AND hd_buy_potential = '501-1000' + AND d1.d_year = 2002 + AND cd_marital_status = 'M' +GROUP BY i_item_desc, + w_warehouse_name, + d1.d_week_seq +ORDER BY total_cnt DESC, + i_item_desc, + w_warehouse_name, + d_week_seq +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query73.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query73.sql new file mode 100644 index 000000000..d56d682c3 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query73.sql @@ -0,0 +1,39 @@ +-- start query 73 in stream 0 using template query73.tpl +SELECT c_last_name, + c_first_name, + c_salutation, + c_preferred_cust_flag, + ss_ticket_number, + cnt +FROM (SELECT ss_ticket_number, + ss_customer_sk, + Count(*) cnt + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND date_dim.d_dom BETWEEN 1 AND 2 + AND ( household_demographics.hd_buy_potential = '>10000' + OR household_demographics.hd_buy_potential = '0-500' ) + AND household_demographics.hd_vehicle_count > 0 + AND CASE + WHEN household_demographics.hd_vehicle_count > 0 THEN + household_demographics.hd_dep_count / + household_demographics.hd_vehicle_count + ELSE NULL + END > 1 + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_county IN ( 'Williamson County', 'Williamson County', + 'Williamson County', + 'Williamson County' + ) + GROUP BY ss_ticket_number, + ss_customer_sk) dj, + customer +WHERE ss_customer_sk = c_customer_sk + AND cnt BETWEEN 1 AND 5 +ORDER BY cnt DESC, + c_last_name ASC; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query74.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query74.sql new file mode 100644 index 000000000..f8d781f79 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query74.sql @@ -0,0 +1,69 @@ +-- start query 74 in stream 0 using template query74.tpl +WITH year_total + AS (SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + d_year AS year1, + Sum(ss_net_paid) year_total, + 's' sale_type + FROM customer, + store_sales, + date_dim + WHERE c_customer_sk = ss_customer_sk + AND ss_sold_date_sk = d_date_sk + AND d_year IN ( 1999, 1999 + 1 ) + GROUP BY c_customer_id, + c_first_name, + c_last_name, + d_year + UNION ALL + SELECT c_customer_id customer_id, + c_first_name customer_first_name, + c_last_name customer_last_name, + d_year AS year1, + Sum(ws_net_paid) year_total, + 'w' sale_type + FROM customer, + web_sales, + date_dim + WHERE c_customer_sk = ws_bill_customer_sk + AND ws_sold_date_sk = d_date_sk + AND d_year IN ( 1999, 1999 + 1 ) + GROUP BY c_customer_id, + c_first_name, + c_last_name, + d_year) +SELECT t_s_secyear.customer_id, + t_s_secyear.customer_first_name, + t_s_secyear.customer_last_name +FROM year_total t_s_firstyear, + year_total t_s_secyear, + year_total t_w_firstyear, + year_total t_w_secyear +WHERE t_s_secyear.customer_id = t_s_firstyear.customer_id + AND t_s_firstyear.customer_id = t_w_secyear.customer_id + AND t_s_firstyear.customer_id = t_w_firstyear.customer_id + AND t_s_firstyear.sale_type = 's' + AND t_w_firstyear.sale_type = 'w' + AND t_s_secyear.sale_type = 's' + AND t_w_secyear.sale_type = 'w' + AND t_s_firstyear.year1 = 1999 + AND t_s_secyear.year1 = 1999 + 1 + AND t_w_firstyear.year1 = 1999 + AND t_w_secyear.year1 = 1999 + 1 + AND t_s_firstyear.year_total > 0 + AND t_w_firstyear.year_total > 0 + AND CASE + WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / + t_w_firstyear.year_total + ELSE NULL + END > CASE + WHEN t_s_firstyear.year_total > 0 THEN + t_s_secyear.year_total / + t_s_firstyear.year_total + ELSE NULL + END +ORDER BY 1, + 2, + 3 +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query75.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query75.sql new file mode 100644 index 000000000..25d1ccbd4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query75.sql @@ -0,0 +1,93 @@ +-- start query 75 in stream 0 using template query75.tpl +WITH all_sales + AS (SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + Sum(sales_cnt) AS sales_cnt, + Sum(sales_amt) AS sales_amt + FROM (SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + cs_quantity - COALESCE(cr_return_quantity, 0) AS + sales_cnt, + cs_ext_sales_price - COALESCE(cr_return_amount, 0.0) AS + sales_amt + FROM catalog_sales + JOIN item + ON i_item_sk = cs_item_sk + JOIN date_dim + ON d_date_sk = cs_sold_date_sk + LEFT JOIN catalog_returns + ON ( cs_order_number = cr_order_number + AND cs_item_sk = cr_item_sk ) + WHERE i_category = 'Men' + UNION + SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + ss_quantity - COALESCE(sr_return_quantity, 0) AS + sales_cnt, + ss_ext_sales_price - COALESCE(sr_return_amt, 0.0) AS + sales_amt + FROM store_sales + JOIN item + ON i_item_sk = ss_item_sk + JOIN date_dim + ON d_date_sk = ss_sold_date_sk + LEFT JOIN store_returns + ON ( ss_ticket_number = sr_ticket_number + AND ss_item_sk = sr_item_sk ) + WHERE i_category = 'Men' + UNION + SELECT d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id, + ws_quantity - COALESCE(wr_return_quantity, 0) AS + sales_cnt, + ws_ext_sales_price - COALESCE(wr_return_amt, 0.0) AS + sales_amt + FROM web_sales + JOIN item + ON i_item_sk = ws_item_sk + JOIN date_dim + ON d_date_sk = ws_sold_date_sk + LEFT JOIN web_returns + ON ( ws_order_number = wr_order_number + AND ws_item_sk = wr_item_sk ) + WHERE i_category = 'Men') sales_detail + GROUP BY d_year, + i_brand_id, + i_class_id, + i_category_id, + i_manufact_id) +SELECT prev_yr.d_year AS prev_year, + curr_yr.d_year AS year1, + curr_yr.i_brand_id, + curr_yr.i_class_id, + curr_yr.i_category_id, + curr_yr.i_manufact_id, + prev_yr.sales_cnt AS prev_yr_cnt, + curr_yr.sales_cnt AS curr_yr_cnt, + curr_yr.sales_cnt - prev_yr.sales_cnt AS sales_cnt_diff, + curr_yr.sales_amt - prev_yr.sales_amt AS sales_amt_diff +FROM all_sales curr_yr, + all_sales prev_yr +WHERE curr_yr.i_brand_id = prev_yr.i_brand_id + AND curr_yr.i_class_id = prev_yr.i_class_id + AND curr_yr.i_category_id = prev_yr.i_category_id + AND curr_yr.i_manufact_id = prev_yr.i_manufact_id + AND curr_yr.d_year = 2002 + AND prev_yr.d_year = 2002 - 1 + AND Cast(curr_yr.sales_cnt AS DECIMAL(17, 2)) / Cast(prev_yr.sales_cnt AS + DECIMAL(17, 2)) + < 0.9 +ORDER BY sales_cnt_diff +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query76.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query76.sql new file mode 100644 index 000000000..f298aa015 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query76.sql @@ -0,0 +1,57 @@ +-- start query 76 in stream 0 using template query76.tpl +SELECT channel, + col_name, + d_year, + d_qoy, + i_category, + Count(*) sales_cnt, + Sum(ext_sales_price) sales_amt +FROM (SELECT 'store' AS channel, + 'ss_hdemo_sk' col_name, + d_year, + d_qoy, + i_category, + ss_ext_sales_price ext_sales_price + FROM store_sales, + item, + date_dim + WHERE ss_hdemo_sk IS NULL + AND ss_sold_date_sk = d_date_sk + AND ss_item_sk = i_item_sk + UNION ALL + SELECT 'web' AS channel, + 'ws_ship_hdemo_sk' col_name, + d_year, + d_qoy, + i_category, + ws_ext_sales_price ext_sales_price + FROM web_sales, + item, + date_dim + WHERE ws_ship_hdemo_sk IS NULL + AND ws_sold_date_sk = d_date_sk + AND ws_item_sk = i_item_sk + UNION ALL + SELECT 'catalog' AS channel, + 'cs_warehouse_sk' col_name, + d_year, + d_qoy, + i_category, + cs_ext_sales_price ext_sales_price + FROM catalog_sales, + item, + date_dim + WHERE cs_warehouse_sk IS NULL + AND cs_sold_date_sk = d_date_sk + AND cs_item_sk = i_item_sk) foo +GROUP BY channel, + col_name, + d_year, + d_qoy, + i_category +ORDER BY channel, + col_name, + d_year, + d_qoy, + i_category +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query77.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query77.sql new file mode 100644 index 000000000..ebcea2b12 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query77.sql @@ -0,0 +1,107 @@ + +-- start query 77 in stream 0 using template query77.tpl +WITH ss AS +( + SELECT s_store_sk, + Sum(ss_ext_sales_price) AS sales, + Sum(ss_net_profit) AS profit + FROM store_sales, + date_dim, + store + WHERE ss_sold_date_sk = d_date_sk + AND d_date BETWEEN Cast('2001-08-16' AS DATE) AND ( + Cast('2001-08-16' AS DATE) + INTERVAL '30' day) + AND ss_store_sk = s_store_sk + GROUP BY s_store_sk) , sr AS +( + SELECT s_store_sk, + sum(sr_return_amt) AS returns1, + sum(sr_net_loss) AS profit_loss + FROM store_returns, + date_dim, + store + WHERE sr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND sr_store_sk = s_store_sk + GROUP BY s_store_sk), cs AS +( + SELECT cs_call_center_sk, + sum(cs_ext_sales_price) AS sales, + sum(cs_net_profit) AS profit + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + GROUP BY cs_call_center_sk ), cr AS +( + SELECT cr_call_center_sk, + sum(cr_return_amount) AS returns1, + sum(cr_net_loss) AS profit_loss + FROM catalog_returns, + date_dim + WHERE cr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + GROUP BY cr_call_center_sk ), ws AS +( + SELECT wp_web_page_sk, + sum(ws_ext_sales_price) AS sales, + sum(ws_net_profit) AS profit + FROM web_sales, + date_dim, + web_page + WHERE ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND ws_web_page_sk = wp_web_page_sk + GROUP BY wp_web_page_sk), wr AS +( + SELECT wp_web_page_sk, + sum(wr_return_amt) AS returns1, + sum(wr_net_loss) AS profit_loss + FROM web_returns, + date_dim, + web_page + WHERE wr_returned_date_sk = d_date_sk + AND d_date BETWEEN cast('2001-08-16' AS date) AND ( + cast('2001-08-16' AS date) + INTERVAL '30' day) + AND wr_web_page_sk = wp_web_page_sk + GROUP BY wp_web_page_sk) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + ss.s_store_sk AS id , + sales , + COALESCE(returns1, 0) AS returns1 , + (profit - COALESCE(profit_loss,0)) AS profit + FROM ss + LEFT JOIN sr + ON ss.s_store_sk = sr.s_store_sk + UNION ALL + SELECT 'catalog channel' AS channel , + cs_call_center_sk AS id , + sales , + returns1 , + (profit - profit_loss) AS profit + FROM cs , + cr + UNION ALL + SELECT 'web channel' AS channel , + ws.wp_web_page_sk AS id , + sales , + COALESCE(returns1, 0) returns1 , + (profit - COALESCE(profit_loss,0)) AS profit + FROM ws + LEFT JOIN wr + ON ws.wp_web_page_sk = wr.wp_web_page_sk ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query78.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query78.sql new file mode 100644 index 000000000..b57b52389 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query78.sql @@ -0,0 +1,86 @@ +-- start query 78 in stream 0 using template query78.tpl +WITH ws + AS (SELECT d_year AS ws_sold_year, + ws_item_sk, + ws_bill_customer_sk ws_customer_sk, + Sum(ws_quantity) ws_qty, + Sum(ws_wholesale_cost) ws_wc, + Sum(ws_sales_price) ws_sp + FROM web_sales + LEFT JOIN web_returns + ON wr_order_number = ws_order_number + AND ws_item_sk = wr_item_sk + JOIN date_dim + ON ws_sold_date_sk = d_date_sk + WHERE wr_order_number IS NULL + GROUP BY d_year, + ws_item_sk, + ws_bill_customer_sk), + cs + AS (SELECT d_year AS cs_sold_year, + cs_item_sk, + cs_bill_customer_sk cs_customer_sk, + Sum(cs_quantity) cs_qty, + Sum(cs_wholesale_cost) cs_wc, + Sum(cs_sales_price) cs_sp + FROM catalog_sales + LEFT JOIN catalog_returns + ON cr_order_number = cs_order_number + AND cs_item_sk = cr_item_sk + JOIN date_dim + ON cs_sold_date_sk = d_date_sk + WHERE cr_order_number IS NULL + GROUP BY d_year, + cs_item_sk, + cs_bill_customer_sk), + ss + AS (SELECT d_year AS ss_sold_year, + ss_item_sk, + ss_customer_sk, + Sum(ss_quantity) ss_qty, + Sum(ss_wholesale_cost) ss_wc, + Sum(ss_sales_price) ss_sp + FROM store_sales + LEFT JOIN store_returns + ON sr_ticket_number = ss_ticket_number + AND ss_item_sk = sr_item_sk + JOIN date_dim + ON ss_sold_date_sk = d_date_sk + WHERE sr_ticket_number IS NULL + GROUP BY d_year, + ss_item_sk, + ss_customer_sk) +SELECT ss_item_sk, + Round(ss_qty / ( COALESCE(ws_qty + cs_qty, 1) ), 2) ratio, + ss_qty store_qty, + ss_wc + store_wholesale_cost, + ss_sp + store_sales_price, + COALESCE(ws_qty, 0) + COALESCE(cs_qty, 0) + other_chan_qty, + COALESCE(ws_wc, 0) + COALESCE(cs_wc, 0) + other_chan_wholesale_cost, + COALESCE(ws_sp, 0) + COALESCE(cs_sp, 0) + other_chan_sales_price +FROM ss + LEFT JOIN ws + ON ( ws_sold_year = ss_sold_year + AND ws_item_sk = ss_item_sk + AND ws_customer_sk = ss_customer_sk ) + LEFT JOIN cs + ON ( cs_sold_year = ss_sold_year + AND cs_item_sk = cs_item_sk + AND cs_customer_sk = ss_customer_sk ) +WHERE COALESCE(ws_qty, 0) > 0 + AND COALESCE(cs_qty, 0) > 0 + AND ss_sold_year = 1999 +ORDER BY ss_item_sk, + ss_qty DESC, + ss_wc DESC, + ss_sp DESC, + other_chan_qty, + other_chan_wholesale_cost, + other_chan_sales_price, + Round(ss_qty / ( COALESCE(ws_qty + cs_qty, 1) ), 2) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query79.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query79.sql new file mode 100644 index 000000000..7e8f52d09 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query79.sql @@ -0,0 +1,35 @@ +-- start query 79 in stream 0 using template query79.tpl +SELECT c_last_name, + c_first_name, + Substr(s_city, 1, 30), + ss_ticket_number, + amt, + profit +FROM (SELECT ss_ticket_number, + ss_customer_sk, + store.s_city, + Sum(ss_coupon_amt) amt, + Sum(ss_net_profit) profit + FROM store_sales, + date_dim, + store, + household_demographics + WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk + AND store_sales.ss_store_sk = store.s_store_sk + AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + AND ( household_demographics.hd_dep_count = 8 + OR household_demographics.hd_vehicle_count > 4 ) + AND date_dim.d_dow = 1 + AND date_dim.d_year IN ( 2000, 2000 + 1, 2000 + 2 ) + AND store.s_number_employees BETWEEN 200 AND 295 + GROUP BY ss_ticket_number, + ss_customer_sk, + ss_addr_sk, + store.s_city) ms, + customer +WHERE ss_customer_sk = c_customer_sk +ORDER BY c_last_name, + c_first_name, + Substr(s_city, 1, 30), + profit +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query8.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query8.sql new file mode 100644 index 000000000..8d98a76a4 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query8.sql @@ -0,0 +1,227 @@ +-- start query 8 in stream 0 using template query8.tpl +SELECT s_store_name, + Sum(ss_net_profit) +FROM store_sales, + date_dim, + store, + (SELECT ca_zip + FROM (SELECT Substr(ca_zip, 1, 5) ca_zip + FROM customer_address + WHERE Substr(ca_zip, 1, 5) IN ( '67436', '26121', '38443', + '63157', + '68856', '19485', '86425', + '26741', + '70991', '60899', '63573', + '47556', + '56193', '93314', '87827', + '62017', + '85067', '95390', '48091', + '10261', + '81845', '41790', '42853', + '24675', + '12840', '60065', '84430', + '57451', + '24021', '91735', '75335', + '71935', + '34482', '56943', '70695', + '52147', + '56251', '28411', '86653', + '23005', + '22478', '29031', '34398', + '15365', + '42460', '33337', '59433', + '73943', + '72477', '74081', '74430', + '64605', + '39006', '11226', '49057', + '97308', + '42663', '18187', '19768', + '43454', + '32147', '76637', '51975', + '11181', + '45630', '33129', '45995', + '64386', + '55522', '26697', '20963', + '35154', + '64587', '49752', '66386', + '30586', + '59286', '13177', '66646', + '84195', + '74316', '36853', '32927', + '12469', + '11904', '36269', '17724', + '55346', + '12595', '53988', '65439', + '28015', + '63268', '73590', '29216', + '82575', + '69267', '13805', '91678', + '79460', + '94152', '14961', '15419', + '48277', + '62588', '55493', '28360', + '14152', + '55225', '18007', '53705', + '56573', + '80245', '71769', '57348', + '36845', + '13039', '17270', '22363', + '83474', + '25294', '43269', '77666', + '15488', + '99146', '64441', '43338', + '38736', + '62754', '48556', '86057', + '23090', + '38114', '66061', '18910', + '84385', + '23600', '19975', '27883', + '65719', + '19933', '32085', '49731', + '40473', + '27190', '46192', '23949', + '44738', + '12436', '64794', '68741', + '15333', + '24282', '49085', '31844', + '71156', + '48441', '17100', '98207', + '44982', + '20277', '71496', '96299', + '37583', + '22206', '89174', '30589', + '61924', + '53079', '10976', '13104', + '42794', + '54772', '15809', '56434', + '39975', + '13874', '30753', '77598', + '78229', + '59478', '12345', '55547', + '57422', + '42600', '79444', '29074', + '29752', + '21676', '32096', '43044', + '39383', + '37296', '36295', '63077', + '16572', + '31275', '18701', '40197', + '48242', + '27219', '49865', '84175', + '30446', + '25165', '13807', '72142', + '70499', + '70464', '71429', '18111', + '70857', + '29545', '36425', '52706', + '36194', + '42963', '75068', '47921', + '74763', + '90990', '89456', '62073', + '88397', + '73963', '75885', '62657', + '12530', + '81146', '57434', '25099', + '41429', + '98441', '48713', '52552', + '31667', + '14072', '13903', '44709', + '85429', + '58017', '38295', '44875', + '73541', + '30091', '12707', '23762', + '62258', + '33247', '78722', '77431', + '14510', + '35656', '72428', '92082', + '35267', + '43759', '24354', '90952', + '11512', + '21242', '22579', '56114', + '32339', + '52282', '41791', '24484', + '95020', + '28408', '99710', '11899', + '43344', + '72915', '27644', '62708', + '74479', + '17177', '32619', '12351', + '91339', + '31169', '57081', '53522', + '16712', + '34419', '71779', '44187', + '46206', + '96099', '61910', '53664', + '12295', + '31837', '33096', '10813', + '63048', + '31732', '79118', '73084', + '72783', + '84952', '46965', '77956', + '39815', + '32311', '75329', '48156', + '30826', + '49661', '13736', '92076', + '74865', + '88149', '92397', '52777', + '68453', + '32012', '21222', '52721', + '24626', + '18210', '42177', '91791', + '75251', + '82075', '44372', '45542', + '20609', + '60115', '17362', '22750', + '90434', + '31852', '54071', '33762', + '14705', + '40718', '56433', '30996', + '40657', + '49056', '23585', '66455', + '41021', + '74736', '72151', '37007', + '21729', + '60177', '84558', '59027', + '93855', + '60022', '86443', '19541', + '86886', + '30532', '39062', '48532', + '34713', + '52077', '22564', '64638', + '15273', + '31677', '36138', '62367', + '60261', + '80213', '42818', '25113', + '72378', + '69802', '69096', '55443', + '28820', + '13848', '78258', '37490', + '30556', + '77380', '28447', '44550', + '26791', + '70609', '82182', '33306', + '43224', + '22322', '86959', '68519', + '14308', + '46501', '81131', '34056', + '61991', + '19896', '87804', '65774', + '92564' ) + INTERSECT + SELECT ca_zip + FROM (SELECT Substr(ca_zip, 1, 5) ca_zip, + Count(*) cnt + FROM customer_address, + customer + WHERE ca_address_sk = c_current_addr_sk + AND c_preferred_cust_flag = 'Y' + GROUP BY ca_zip + HAVING Count(*) > 10)A1)A2) V1 +WHERE ss_store_sk = s_store_sk + AND ss_sold_date_sk = d_date_sk + AND d_qoy = 2 + AND d_year = 2000 + AND ( Substr(s_zip, 1, 2) = Substr(V1.ca_zip, 1, 2) ) +GROUP BY s_store_name +ORDER BY s_store_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query80.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query80.sql new file mode 100644 index 000000000..4fcb9cb2f --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query80.sql @@ -0,0 +1,105 @@ +-- start query 80 in stream 0 using template query80.tpl +WITH ssr AS +( + SELECT s_store_id AS store_id, + Sum(ss_ext_sales_price) AS sales, + Sum(COALESCE(sr_return_amt, 0)) AS returns1, + Sum(ss_net_profit - COALESCE(sr_net_loss, 0)) AS profit + FROM store_sales + LEFT OUTER JOIN store_returns + ON ( + ss_item_sk = sr_item_sk + AND ss_ticket_number = sr_ticket_number), + date_dim, + store, + item, + promotion + WHERE ss_sold_date_sk = d_date_sk + AND d_date BETWEEN Cast('2000-08-26' AS DATE) AND ( + Cast('2000-08-26' AS DATE) + INTERVAL '30' day) + AND ss_store_sk = s_store_sk + AND ss_item_sk = i_item_sk + AND i_current_price > 50 + AND ss_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY s_store_id) , csr AS +( + SELECT cp_catalog_page_id AS catalog_page_id, + sum(cs_ext_sales_price) AS sales, + sum(COALESCE(cr_return_amount, 0)) AS returns1, + sum(cs_net_profit - COALESCE(cr_net_loss, 0)) AS profit + FROM catalog_sales + LEFT OUTER JOIN catalog_returns + ON ( + cs_item_sk = cr_item_sk + AND cs_order_number = cr_order_number), + date_dim, + catalog_page, + item, + promotion + WHERE cs_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2000-08-26' AS date) AND ( + cast('2000-08-26' AS date) + INTERVAL '30' day) + AND cs_catalog_page_sk = cp_catalog_page_sk + AND cs_item_sk = i_item_sk + AND i_current_price > 50 + AND cs_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY cp_catalog_page_id) , wsr AS +( + SELECT web_site_id, + sum(ws_ext_sales_price) AS sales, + sum(COALESCE(wr_return_amt, 0)) AS returns1, + sum(ws_net_profit - COALESCE(wr_net_loss, 0)) AS profit + FROM web_sales + LEFT OUTER JOIN web_returns + ON ( + ws_item_sk = wr_item_sk + AND ws_order_number = wr_order_number), + date_dim, + web_site, + item, + promotion + WHERE ws_sold_date_sk = d_date_sk + AND d_date BETWEEN cast('2000-08-26' AS date) AND ( + cast('2000-08-26' AS date) + INTERVAL '30' day) + AND ws_web_site_sk = web_site_sk + AND ws_item_sk = i_item_sk + AND i_current_price > 50 + AND ws_promo_sk = p_promo_sk + AND p_channel_tv = 'N' + GROUP BY web_site_id) +SELECT + channel , + id , + sum(sales) AS sales , + sum(returns1) AS returns1 , + sum(profit) AS profit +FROM ( + SELECT 'store channel' AS channel , + 'store' + || store_id AS id , + sales , + returns1 , + profit + FROM ssr + UNION ALL + SELECT 'catalog channel' AS channel , + 'catalog_page' + || catalog_page_id AS id , + sales , + returns1 , + profit + FROM csr + UNION ALL + SELECT 'web channel' AS channel , + 'web_site' + || web_site_id AS id , + sales , + returns1 , + profit + FROM wsr ) x +GROUP BY rollup (channel, id) +ORDER BY channel , + id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query81.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query81.sql new file mode 100644 index 000000000..9be95c5d2 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query81.sql @@ -0,0 +1,56 @@ + +-- start query 81 in stream 0 using template query81.tpl +WITH customer_total_return + AS (SELECT cr_returning_customer_sk AS ctr_customer_sk, + ca_state AS ctr_state, + Sum(cr_return_amt_inc_tax) AS ctr_total_return + FROM catalog_returns, + date_dim, + customer_address + WHERE cr_returned_date_sk = d_date_sk + AND d_year = 1999 + AND cr_returning_addr_sk = ca_address_sk + GROUP BY cr_returning_customer_sk, + ca_state) +SELECT c_customer_id, + c_salutation, + c_first_name, + c_last_name, + ca_street_number, + ca_street_name, + ca_street_type, + ca_suite_number, + ca_city, + ca_county, + ca_state, + ca_zip, + ca_country, + ca_gmt_offset, + ca_location_type, + ctr_total_return +FROM customer_total_return ctr1, + customer_address, + customer +WHERE ctr1.ctr_total_return > (SELECT Avg(ctr_total_return) * 1.2 + FROM customer_total_return ctr2 + WHERE ctr1.ctr_state = ctr2.ctr_state) + AND ca_address_sk = c_current_addr_sk + AND ca_state = 'TX' + AND ctr1.ctr_customer_sk = c_customer_sk +ORDER BY c_customer_id, + c_salutation, + c_first_name, + c_last_name, + ca_street_number, + ca_street_name, + ca_street_type, + ca_suite_number, + ca_city, + ca_county, + ca_state, + ca_zip, + ca_country, + ca_gmt_offset, + ca_location_type, + ctr_total_return +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query82.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query82.sql new file mode 100644 index 000000000..27295a5fb --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query82.sql @@ -0,0 +1,23 @@ + +-- start query 82 in stream 0 using template query82.tpl +SELECT + i_item_id , + i_item_desc , + i_current_price +FROM item, + inventory, + date_dim, + store_sales +WHERE i_current_price BETWEEN 63 AND 63+30 +AND inv_item_sk = i_item_sk +AND d_date_sk=inv_date_sk +AND d_date BETWEEN Cast('1998-04-27' AS DATE) AND ( + Cast('1998-04-27' AS DATE) + INTERVAL '60' day) +AND i_manufact_id IN (57,293,427,320) +AND inv_quantity_on_hand BETWEEN 100 AND 500 +AND ss_item_sk = i_item_sk +GROUP BY i_item_id, + i_item_desc, + i_current_price +ORDER BY i_item_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query83.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query83.sql new file mode 100644 index 000000000..b5c4378fa --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query83.sql @@ -0,0 +1,75 @@ +-- start query 83 in stream 0 using template query83.tpl +WITH sr_items + AS (SELECT i_item_id item_id, + Sum(sr_return_quantity) sr_item_qty + FROM store_returns, + item, + date_dim + WHERE sr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND sr_returned_date_sk = d_date_sk + GROUP BY i_item_id), + cr_items + AS (SELECT i_item_id item_id, + Sum(cr_return_quantity) cr_item_qty + FROM catalog_returns, + item, + date_dim + WHERE cr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND cr_returned_date_sk = d_date_sk + GROUP BY i_item_id), + wr_items + AS (SELECT i_item_id item_id, + Sum(wr_return_quantity) wr_item_qty + FROM web_returns, + item, + date_dim + WHERE wr_item_sk = i_item_sk + AND d_date IN (SELECT d_date + FROM date_dim + WHERE d_week_seq IN (SELECT d_week_seq + FROM date_dim + WHERE + d_date IN ( '1999-06-30', + '1999-08-28', + '1999-11-18' + ))) + AND wr_returned_date_sk = d_date_sk + GROUP BY i_item_id) +SELECT sr_items.item_id, + sr_item_qty, + sr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 sr_dev, + cr_item_qty, + cr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 cr_dev, + wr_item_qty, + wr_item_qty / ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 * + 100 wr_dev, + ( sr_item_qty + cr_item_qty + wr_item_qty ) / 3.0 + average +FROM sr_items, + cr_items, + wr_items +WHERE sr_items.item_id = cr_items.item_id + AND sr_items.item_id = wr_items.item_id +ORDER BY sr_items.item_id, + sr_item_qty +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query84.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query84.sql new file mode 100644 index 000000000..f7eae1a7e --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query84.sql @@ -0,0 +1,21 @@ +-- start query 84 in stream 0 using template query84.tpl +SELECT c_customer_id AS customer_id, + c_last_name + || ', ' + || c_first_name AS customername +FROM customer, + customer_address, + customer_demographics, + household_demographics, + income_band, + store_returns +WHERE ca_city = 'Green Acres' + AND c_current_addr_sk = ca_address_sk + AND ib_lower_bound >= 54986 + AND ib_upper_bound <= 54986 + 50000 + AND ib_income_band_sk = hd_income_band_sk + AND cd_demo_sk = c_current_cdemo_sk + AND hd_demo_sk = c_current_hdemo_sk + AND sr_cdemo_sk = cd_demo_sk +ORDER BY c_customer_id +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query85.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query85.sql new file mode 100644 index 000000000..be2f68d48 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query85.sql @@ -0,0 +1,52 @@ +-- start query 85 in stream 0 using template query85.tpl +SELECT Substr(r_reason_desc, 1, 20), + Avg(ws_quantity), + Avg(wr_refunded_cash), + Avg(wr_fee) +FROM web_sales, + web_returns, + web_page, + customer_demographics cd1, + customer_demographics cd2, + customer_address, + date_dim, + reason +WHERE ws_web_page_sk = wp_web_page_sk + AND ws_item_sk = wr_item_sk + AND ws_order_number = wr_order_number + AND ws_sold_date_sk = d_date_sk + AND d_year = 2001 + AND cd1.cd_demo_sk = wr_refunded_cdemo_sk + AND cd2.cd_demo_sk = wr_returning_cdemo_sk + AND ca_address_sk = wr_refunded_addr_sk + AND r_reason_sk = wr_reason_sk + AND ( ( cd1.cd_marital_status = 'W' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Primary' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 100.00 AND 150.00 ) + OR ( cd1.cd_marital_status = 'D' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Secondary' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 50.00 AND 100.00 ) + OR ( cd1.cd_marital_status = 'M' + AND cd1.cd_marital_status = cd2.cd_marital_status + AND cd1.cd_education_status = 'Advanced Degree' + AND cd1.cd_education_status = cd2.cd_education_status + AND ws_sales_price BETWEEN 150.00 AND 200.00 ) ) + AND ( ( ca_country = 'United States' + AND ca_state IN ( 'KY', 'ME', 'IL' ) + AND ws_net_profit BETWEEN 100 AND 200 ) + OR ( ca_country = 'United States' + AND ca_state IN ( 'OK', 'NE', 'MN' ) + AND ws_net_profit BETWEEN 150 AND 300 ) + OR ( ca_country = 'United States' + AND ca_state IN ( 'FL', 'WI', 'KS' ) + AND ws_net_profit BETWEEN 50 AND 250 ) ) +GROUP BY r_reason_desc +ORDER BY Substr(r_reason_desc, 1, 20), + Avg(ws_quantity), + Avg(wr_refunded_cash), + Avg(wr_fee) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query86.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query86.sql new file mode 100644 index 000000000..ec513d402 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query86.sql @@ -0,0 +1,24 @@ +-- start query 86 in stream 0 using template query86.tpl +SELECT Sum(ws_net_paid) AS total_sum, + i_category, + i_class, + Grouping(i_category) + Grouping(i_class) AS lochierarchy, + Rank() + OVER ( + partition BY Grouping(i_category)+Grouping(i_class), CASE + WHEN Grouping( + i_class) = 0 THEN i_category END + ORDER BY Sum(ws_net_paid) DESC) AS rank_within_parent +FROM web_sales, + date_dim d1, + item +WHERE d1.d_month_seq BETWEEN 1183 AND 1183 + 11 + AND d1.d_date_sk = ws_sold_date_sk + AND i_item_sk = ws_item_sk +GROUP BY rollup( i_category, i_class ) +ORDER BY lochierarchy DESC, + CASE + WHEN lochierarchy = 0 THEN i_category + END, + rank_within_parent +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query87.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query87.sql new file mode 100644 index 000000000..6f58f2e09 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query87.sql @@ -0,0 +1,21 @@ +-- start query 87 in stream 0 using template query87.tpl +select count(*) +from ((select distinct c_last_name, c_first_name, d_date + from store_sales, date_dim, customer + where store_sales.ss_sold_date_sk = date_dim.d_date_sk + and store_sales.ss_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) + except + (select distinct c_last_name, c_first_name, d_date + from catalog_sales, date_dim, customer + where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) + except + (select distinct c_last_name, c_first_name, d_date + from web_sales, date_dim, customer + where web_sales.ws_sold_date_sk = date_dim.d_date_sk + and web_sales.ws_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1188 and 1188+11) +) cool_cust +; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query88.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query88.sql new file mode 100644 index 000000000..d1945f341 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query88.sql @@ -0,0 +1,92 @@ +-- start query 88 in stream 0 using template query88.tpl +select * +from + (select count(*) h8_30_to_9 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 8 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s1, + (select count(*) h9_to_9_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 9 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s2, + (select count(*) h9_30_to_10 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 9 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s3, + (select count(*) h10_to_10_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 10 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s4, + (select count(*) h10_30_to_11 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 10 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s5, + (select count(*) h11_to_11_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 11 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s6, + (select count(*) h11_30_to_12 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 11 + and time_dim.t_minute >= 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s7, + (select count(*) h12_to_12_30 + from store_sales, household_demographics , time_dim, store + where ss_sold_time_sk = time_dim.t_time_sk + and ss_hdemo_sk = household_demographics.hd_demo_sk + and ss_store_sk = s_store_sk + and time_dim.t_hour = 12 + and time_dim.t_minute < 30 + and ((household_demographics.hd_dep_count = -1 and household_demographics.hd_vehicle_count<=-1+2) or + (household_demographics.hd_dep_count = 2 and household_demographics.hd_vehicle_count<=2+2) or + (household_demographics.hd_dep_count = 3 and household_demographics.hd_vehicle_count<=3+2)) + and store.s_store_name = 'ese') s8 +; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query89.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query89.sql new file mode 100644 index 000000000..1459f9cf9 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query89.sql @@ -0,0 +1,40 @@ +-- start query 89 in stream 0 using template query89.tpl +SELECT * +FROM (SELECT i_category, + i_class, + i_brand, + s_store_name, + s_company_name, + d_moy, + Sum(ss_sales_price) sum_sales, + Avg(Sum(ss_sales_price)) + OVER ( + partition BY i_category, i_brand, s_store_name, s_company_name + ) + avg_monthly_sales + FROM item, + store_sales, + date_dim, + store + WHERE ss_item_sk = i_item_sk + AND ss_sold_date_sk = d_date_sk + AND ss_store_sk = s_store_sk + AND d_year IN ( 2002 ) + AND ( ( i_category IN ( 'Home', 'Men', 'Sports' ) + AND i_class IN ( 'paint', 'accessories', 'fitness' ) ) + OR ( i_category IN ( 'Shoes', 'Jewelry', 'Women' ) + AND i_class IN ( 'mens', 'pendants', 'swimwear' ) ) ) + GROUP BY i_category, + i_class, + i_brand, + s_store_name, + s_company_name, + d_moy) tmp1 +WHERE CASE + WHEN ( avg_monthly_sales <> 0 ) THEN ( + Abs(sum_sales - avg_monthly_sales) / avg_monthly_sales ) + ELSE NULL + END > 0.1 +ORDER BY sum_sales - avg_monthly_sales, + s_store_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query9.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query9.sql new file mode 100644 index 000000000..8073df2f9 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query9.sql @@ -0,0 +1,63 @@ +-- start query 9 in stream 0 using template query9.tpl +SELECT CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) > 3672 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 1 AND 20) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 1 AND 20) + END bucket1, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) > 3392 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 21 AND 40) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 21 AND 40) + END bucket2, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) > 32784 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 41 AND 60) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 41 AND 60) + END bucket3, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) > 26032 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 61 AND 80) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 61 AND 80) + END bucket4, + CASE + WHEN (SELECT Count(*) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) > 23982 THEN + (SELECT Avg(ss_ext_list_price) + FROM store_sales + WHERE + ss_quantity BETWEEN 81 AND 100) + ELSE (SELECT Avg(ss_net_profit) + FROM store_sales + WHERE ss_quantity BETWEEN 81 AND 100) + END bucket5 +FROM reason +WHERE r_reason_sk = 1; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query90.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query90.sql new file mode 100644 index 000000000..bc117f29e --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query90.sql @@ -0,0 +1,28 @@ + +-- start query 90 in stream 0 using template query90.tpl +SELECT Cast(amc AS DECIMAL(15, 4)) / Cast(pmc AS DECIMAL(15, 4)) + am_pm_ratio +FROM (SELECT Count(*) amc + FROM web_sales, + household_demographics, + time_dim, + web_page + WHERE ws_sold_time_sk = time_dim.t_time_sk + AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk + AND ws_web_page_sk = web_page.wp_web_page_sk + AND time_dim.t_hour BETWEEN 12 AND 12 + 1 + AND household_demographics.hd_dep_count = 8 + AND web_page.wp_char_count BETWEEN 5000 AND 5200) at1, + (SELECT Count(*) pmc + FROM web_sales, + household_demographics, + time_dim, + web_page + WHERE ws_sold_time_sk = time_dim.t_time_sk + AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk + AND ws_web_page_sk = web_page.wp_web_page_sk + AND time_dim.t_hour BETWEEN 20 AND 20 + 1 + AND household_demographics.hd_dep_count = 8 + AND web_page.wp_char_count BETWEEN 5000 AND 5200) pt +ORDER BY am_pm_ratio +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query91.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query91.sql new file mode 100644 index 000000000..457aa8b45 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query91.sql @@ -0,0 +1,32 @@ +-- start query 91 in stream 0 using template query91.tpl +SELECT cc_call_center_id Call_Center, + cc_name Call_Center_Name, + cc_manager Manager, + Sum(cr_net_loss) Returns_Loss +FROM call_center, + catalog_returns, + date_dim, + customer, + customer_address, + customer_demographics, + household_demographics +WHERE cr_call_center_sk = cc_call_center_sk + AND cr_returned_date_sk = d_date_sk + AND cr_returning_customer_sk = c_customer_sk + AND cd_demo_sk = c_current_cdemo_sk + AND hd_demo_sk = c_current_hdemo_sk + AND ca_address_sk = c_current_addr_sk + AND d_year = 1999 + AND d_moy = 12 + AND ( ( cd_marital_status = 'M' + AND cd_education_status = 'Unknown' ) + OR ( cd_marital_status = 'W' + AND cd_education_status = 'Advanced Degree' ) ) + AND hd_buy_potential LIKE 'Unknown%' + AND ca_gmt_offset = -7 +GROUP BY cc_call_center_id, + cc_name, + cc_manager, + cd_marital_status, + cd_education_status +ORDER BY Sum(cr_net_loss) DESC; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query92.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query92.sql new file mode 100644 index 000000000..c1c3dceba --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query92.sql @@ -0,0 +1,22 @@ +-- start query 92 in stream 0 using template query92.tpl +SELECT + Sum(ws_ext_discount_amt) AS `Excess Discount Amount` +FROM web_sales , + item , + date_dim +WHERE i_manufact_id = 718 +AND i_item_sk = ws_item_sk +AND d_date BETWEEN '2002-03-29' AND ( + Cast('2002-03-29' AS DATE) + INTERVAL '90' day) +AND d_date_sk = ws_sold_date_sk +AND ws_ext_discount_amt > + ( + SELECT 1.3 * avg(ws_ext_discount_amt) + FROM web_sales , + date_dim + WHERE ws_item_sk = i_item_sk + AND d_date BETWEEN '2002-03-29' AND ( + cast('2002-03-29' AS date) + INTERVAL '90' day) + AND d_date_sk = ws_sold_date_sk ) +ORDER BY sum(ws_ext_discount_amt) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query93.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query93.sql new file mode 100644 index 000000000..f7fdc3296 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query93.sql @@ -0,0 +1,22 @@ +-- start query 93 in stream 0 using template query93.tpl +SELECT ss_customer_sk, + Sum(act_sales) sumsales +FROM (SELECT ss_item_sk, + ss_ticket_number, + ss_customer_sk, + CASE + WHEN sr_return_quantity IS NOT NULL THEN + ( ss_quantity - sr_return_quantity ) * ss_sales_price + ELSE ( ss_quantity * ss_sales_price ) + END act_sales + FROM store_sales + LEFT OUTER JOIN store_returns + ON ( sr_item_sk = ss_item_sk + AND sr_ticket_number = ss_ticket_number ), + reason + WHERE sr_reason_sk = r_reason_sk + AND r_reason_desc = 'reason 38') t +GROUP BY ss_customer_sk +ORDER BY sumsales, + ss_customer_sk +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query94.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query94.sql new file mode 100644 index 000000000..e5e8b7568 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query94.sql @@ -0,0 +1,29 @@ +-- start query 94 in stream 0 using template query94.tpl +SELECT + Count(DISTINCT ws_order_number) AS `order count` , + Sum(ws_ext_ship_cost) AS `total shipping cost` , + Sum(ws_net_profit) AS `total net profit` +FROM web_sales ws1 , + date_dim , + customer_address , + web_site +WHERE d_date BETWEEN '2000-3-01' AND ( + Cast('2000-3-01' AS DATE) + INTERVAL '60' day) +AND ws1.ws_ship_date_sk = d_date_sk +AND ws1.ws_ship_addr_sk = ca_address_sk +AND ca_state = 'MT' +AND ws1.ws_web_site_sk = web_site_sk +AND web_company_name = 'pri' +AND EXISTS + ( + SELECT * + FROM web_sales ws2 + WHERE ws1.ws_order_number = ws2.ws_order_number + AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) +AND NOT EXISTS + ( + SELECT * + FROM web_returns wr1 + WHERE ws1.ws_order_number = wr1.wr_order_number) +ORDER BY count(DISTINCT ws_order_number) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query95.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query95.sql new file mode 100644 index 000000000..d0aa46a95 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query95.sql @@ -0,0 +1,37 @@ +-- start query 95 in stream 0 using template query95.tpl +WITH ws_wh AS +( + SELECT ws1.ws_order_number, + ws1.ws_warehouse_sk wh1, + ws2.ws_warehouse_sk wh2 + FROM web_sales ws1, + web_sales ws2 + WHERE ws1.ws_order_number = ws2.ws_order_number + AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) +SELECT + Count(DISTINCT ws_order_number) AS `order count` , + Sum(ws_ext_ship_cost) AS `total shipping cost` , + Sum(ws_net_profit) AS `total net profit` +FROM web_sales ws1 , + date_dim , + customer_address , + web_site +WHERE d_date BETWEEN '2000-4-01' AND ( + Cast('2000-4-01' AS DATE) + INTERVAL '60' day) +AND ws1.ws_ship_date_sk = d_date_sk +AND ws1.ws_ship_addr_sk = ca_address_sk +AND ca_state = 'IN' +AND ws1.ws_web_site_sk = web_site_sk +AND web_company_name = 'pri' +AND ws1.ws_order_number IN + ( + SELECT ws_order_number + FROM ws_wh) +AND ws1.ws_order_number IN + ( + SELECT wr_order_number + FROM web_returns, + ws_wh + WHERE wr_order_number = ws_wh.ws_order_number) +ORDER BY count(DISTINCT ws_order_number) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query96.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query96.sql new file mode 100644 index 000000000..1f7731524 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query96.sql @@ -0,0 +1,15 @@ +-- start query 96 in stream 0 using template query96.tpl +SELECT Count(*) +FROM store_sales, + household_demographics, + time_dim, + store +WHERE ss_sold_time_sk = time_dim.t_time_sk + AND ss_hdemo_sk = household_demographics.hd_demo_sk + AND ss_store_sk = s_store_sk + AND time_dim.t_hour = 15 + AND time_dim.t_minute >= 30 + AND household_demographics.hd_dep_count = 7 + AND store.s_store_name = 'ese' +ORDER BY Count(*) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query97.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query97.sql new file mode 100644 index 000000000..6a6be875a --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query97.sql @@ -0,0 +1,40 @@ + +-- start query 97 in stream 0 using template query97.tpl +WITH ssci + AS (SELECT ss_customer_sk customer_sk, + ss_item_sk item_sk + FROM store_sales, + date_dim + WHERE ss_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11 + GROUP BY ss_customer_sk, + ss_item_sk), + csci + AS (SELECT cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + FROM catalog_sales, + date_dim + WHERE cs_sold_date_sk = d_date_sk + AND d_month_seq BETWEEN 1196 AND 1196 + 11 + GROUP BY cs_bill_customer_sk, + cs_item_sk) +SELECT Sum(CASE + WHEN ssci.customer_sk IS NOT NULL + AND csci.customer_sk IS NULL THEN 1 + ELSE 0 + END) store_only, + Sum(CASE + WHEN ssci.customer_sk IS NULL + AND csci.customer_sk IS NOT NULL THEN 1 + ELSE 0 + END) catalog_only, + Sum(CASE + WHEN ssci.customer_sk IS NOT NULL + AND csci.customer_sk IS NOT NULL THEN 1 + ELSE 0 + END) store_and_catalog +FROM ssci + FULL OUTER JOIN csci + ON ( ssci.customer_sk = csci.customer_sk + AND ssci.item_sk = csci.item_sk ) +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query98.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query98.sql new file mode 100644 index 000000000..62eaaa518 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query98.sql @@ -0,0 +1,29 @@ + +-- start query 98 in stream 0 using template query98.tpl +SELECT i_item_id, + i_item_desc, + i_category, + i_class, + i_current_price, + Sum(ss_ext_sales_price) AS itemrevenue, + Sum(ss_ext_sales_price) * 100 / Sum(Sum(ss_ext_sales_price)) + OVER ( + PARTITION BY i_class) AS revenueratio +FROM store_sales, + item, + date_dim +WHERE ss_item_sk = i_item_sk + AND i_category IN ( 'Men', 'Home', 'Electronics' ) + AND ss_sold_date_sk = d_date_sk + AND d_date BETWEEN CAST('2000-05-18' AS DATE) AND ( + CAST('2000-05-18' AS DATE) + INTERVAL '30' DAY ) +GROUP BY i_item_id, + i_item_desc, + i_category, + i_class, + i_current_price +ORDER BY i_category, + i_class, + i_item_id, + i_item_desc, + revenueratio; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query99.sql b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query99.sql new file mode 100644 index 000000000..66b433064 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/sparksql/query99.sql @@ -0,0 +1,47 @@ + + +-- start query 99 in stream 0 using template query99.tpl +SELECT Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name, + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk <= 30 ) THEN 1 + ELSE 0 + END) AS `30 days`, + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 30 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 60 ) THEN 1 + ELSE 0 + END) AS `31-60 days`, + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 60 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 90 ) THEN 1 + ELSE 0 + END) AS `61-90 days`, + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 90 ) + AND ( cs_ship_date_sk - cs_sold_date_sk <= 120 ) THEN + 1 + ELSE 0 + END) AS `91-120 days`, + Sum(CASE + WHEN ( cs_ship_date_sk - cs_sold_date_sk > 120 ) THEN 1 + ELSE 0 + END) AS `>120 days` +FROM catalog_sales, + warehouse, + ship_mode, + call_center, + date_dim +WHERE d_month_seq BETWEEN 1200 AND 1200 + 11 + AND cs_ship_date_sk = d_date_sk + AND cs_warehouse_sk = w_warehouse_sk + AND cs_ship_mode_sk = sm_ship_mode_sk + AND cs_call_center_sk = cc_call_center_sk +GROUP BY Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name +ORDER BY Substr(w_warehouse_name, 1, 20), + sm_type, + cc_name +LIMIT 100; diff --git a/datajunction-server/tests/sql/parsing/queries/tpcds/test_tpcds.py b/datajunction-server/tests/sql/parsing/queries/tpcds/test_tpcds.py new file mode 100644 index 000000000..55c486f18 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/queries/tpcds/test_tpcds.py @@ -0,0 +1,346 @@ +""" +test parsing tpcds queries into DJ ASTs +""" + +# mypy: ignore-errors +from difflib import SequenceMatcher + +import pytest +import sqlparse + +from datajunction_server.sql.parsing.backends.antlr4 import parse, parse_statement + +ansi_tpcds_files = [ + ("./ansi/query1.sql"), + ("./ansi/query2.sql"), + ("./ansi/query3.sql"), + ("./ansi/query4.sql"), + ("./ansi/query5.sql"), + ("./ansi/query6.sql"), + ("./ansi/query7.sql"), + ("./ansi/query8.sql"), + ("./ansi/query9.sql"), + ("./ansi/query10.sql"), + ("./ansi/query11.sql"), + ("./ansi/query12.sql"), + ("./ansi/query13.sql"), + ("./ansi/query14.sql"), + ("./ansi/query15.sql"), + ("./ansi/query16.sql"), + ("./ansi/query17.sql"), + ("./ansi/query18.sql"), + ("./ansi/query19.sql"), + ("./ansi/query20.sql"), + ("./ansi/query21.sql"), + ("./ansi/query22.sql"), + ("./ansi/query23.sql"), + ("./ansi/query24.sql"), + ("./ansi/query25.sql"), + ("./ansi/query26.sql"), + ("./ansi/query27.sql"), + ("./ansi/query28.sql"), + ("./ansi/query29.sql"), + ("./ansi/query30.sql"), + ("./ansi/query31.sql"), + ("./ansi/query32.sql"), + ("./ansi/query33.sql"), + ("./ansi/query34.sql"), + ("./ansi/query35.sql"), + ("./ansi/query36.sql"), + ("./ansi/query37.sql"), + ("./ansi/query38.sql"), + ("./ansi/query39.sql"), + ("./ansi/query40.sql"), + ("./ansi/query41.sql"), + ("./ansi/query42.sql"), + ("./ansi/query43.sql"), + ("./ansi/query44.sql"), + ("./ansi/query45.sql"), + ("./ansi/query46.sql"), + ("./ansi/query47.sql"), + ("./ansi/query48.sql"), + ("./ansi/query49.sql"), + ("./ansi/query50.sql"), + ("./ansi/query51.sql"), + ("./ansi/query52.sql"), + ("./ansi/query53.sql"), + ("./ansi/query54.sql"), + ("./ansi/query55.sql"), + ("./ansi/query56.sql"), + ("./ansi/query57.sql"), + ("./ansi/query58.sql"), + ("./ansi/query59.sql"), + ("./ansi/query60.sql"), + ("./ansi/query61.sql"), + ("./ansi/query62.sql"), + ("./ansi/query63.sql"), + ("./ansi/query64.sql"), + ("./ansi/query65.sql"), + ("./ansi/query66.sql"), + ("./ansi/query67.sql"), + ("./ansi/query68.sql"), + ("./ansi/query69.sql"), + ("./ansi/query70.sql"), + ("./ansi/query71.sql"), + ("./ansi/query72.sql"), + ("./ansi/query73.sql"), + ("./ansi/query74.sql"), + ("./ansi/query75.sql"), + ("./ansi/query76.sql"), + ("./ansi/query77.sql"), + ("./ansi/query78.sql"), + ("./ansi/query79.sql"), + ("./ansi/query80.sql"), + ("./ansi/query81.sql"), + ("./ansi/query82.sql"), + ("./ansi/query83.sql"), + ("./ansi/query84.sql"), + ("./ansi/query85.sql"), + ("./ansi/query86.sql"), + ("./ansi/query87.sql"), + ("./ansi/query88.sql"), + ("./ansi/query89.sql"), + ("./ansi/query90.sql"), + ("./ansi/query91.sql"), + ("./ansi/query92.sql"), + ("./ansi/query93.sql"), + ("./ansi/query94.sql"), + ("./ansi/query95.sql"), + ("./ansi/query96.sql"), + ("./ansi/query97.sql"), + ("./ansi/query98.sql"), + ("./ansi/query99.sql"), +] + +spark_tpcds_files = [ + ("./sparksql/query1.sql"), + ("./sparksql/query2.sql"), + ("./sparksql/query3.sql"), + ("./sparksql/query4.sql"), + ("./sparksql/query5.sql"), + ("./sparksql/query6.sql"), + ("./sparksql/query7.sql"), + ("./sparksql/query8.sql"), + ("./sparksql/query9.sql"), + ("./sparksql/query10.sql"), + ("./sparksql/query11.sql"), + ("./sparksql/query12.sql"), + ("./sparksql/query13.sql"), + ("./sparksql/query14.sql"), + ("./sparksql/query15.sql"), + ("./sparksql/query16.sql"), + ("./sparksql/query17.sql"), + ("./sparksql/query18.sql"), + ("./sparksql/query19.sql"), + ("./sparksql/query20.sql"), + ("./sparksql/query21.sql"), + ("./sparksql/query22.sql"), + ("./sparksql/query23.sql"), + ("./sparksql/query24.sql"), + ("./sparksql/query25.sql"), + ("./sparksql/query26.sql"), + ("./sparksql/query27.sql"), + ("./sparksql/query28.sql"), + ("./sparksql/query29.sql"), + ("./sparksql/query30.sql"), + ("./sparksql/query31.sql"), + ("./sparksql/query32.sql"), + ("./sparksql/query33.sql"), + ("./sparksql/query34.sql"), + ("./sparksql/query35.sql"), + ("./sparksql/query36.sql"), + ("./sparksql/query37.sql"), + ("./sparksql/query38.sql"), + ("./sparksql/query39.sql"), + ("./sparksql/query40.sql"), + ("./sparksql/query41.sql"), + ("./sparksql/query42.sql"), + ("./sparksql/query43.sql"), + ("./sparksql/query44.sql"), + ("./sparksql/query45.sql"), + ("./sparksql/query46.sql"), + ("./sparksql/query47.sql"), + ("./sparksql/query48.sql"), + ("./sparksql/query49.sql"), + ("./sparksql/query50.sql"), + ("./sparksql/query51.sql"), + ("./sparksql/query52.sql"), + ("./sparksql/query53.sql"), + ("./sparksql/query54.sql"), + ("./sparksql/query55.sql"), + ("./sparksql/query56.sql"), + ("./sparksql/query57.sql"), + ("./sparksql/query58.sql"), + ("./sparksql/query59.sql"), + ("./sparksql/query60.sql"), + ("./sparksql/query61.sql"), + ("./sparksql/query62.sql"), + ("./sparksql/query63.sql"), + ("./sparksql/query64.sql"), + ("./sparksql/query65.sql"), + ("./sparksql/query66.sql"), + ("./sparksql/query67.sql"), + ("./sparksql/query68.sql"), + ("./sparksql/query69.sql"), + ("./sparksql/query70.sql"), + ("./sparksql/query71.sql"), + ("./sparksql/query72.sql"), + ("./sparksql/query73.sql"), + ("./sparksql/query74.sql"), + ("./sparksql/query75.sql"), + ("./sparksql/query76.sql"), + ("./sparksql/query77.sql"), + ("./sparksql/query78.sql"), + ("./sparksql/query79.sql"), + ("./sparksql/query80.sql"), + ("./sparksql/query81.sql"), + ("./sparksql/query82.sql"), + ("./sparksql/query83.sql"), + ("./sparksql/query84.sql"), + ("./sparksql/query85.sql"), + ("./sparksql/query86.sql"), + ("./sparksql/query87.sql"), + ("./sparksql/query88.sql"), + ("./sparksql/query89.sql"), + ("./sparksql/query90.sql"), + ("./sparksql/query91.sql"), + ("./sparksql/query92.sql"), + ("./sparksql/query93.sql"), + ("./sparksql/query94.sql"), + ("./sparksql/query95.sql"), + ("./sparksql/query96.sql"), + ("./sparksql/query97.sql"), + ("./sparksql/query98.sql"), + ("./sparksql/query99.sql"), +] + + +def similar(a, b): + return SequenceMatcher(None, a, b).ratio() + + +@pytest.mark.skipif("not config.getoption('tpcds')") +@pytest.mark.parametrize( + "query_file", + ansi_tpcds_files + spark_tpcds_files, +) +def test_tpcds_parse(query_file, request, monkeypatch): + """ + Test that TPCDS queries parse with no errors + """ + monkeypatch.chdir(request.fspath.dirname) + with open(query_file, encoding="UTF-8") as file: + content = file.read() + for query in content.split(";"): + if not query.isspace(): + parse_statement(query) + + +@pytest.mark.skipif("not config.getoption('tpcds')") +@pytest.mark.parametrize( + "query_file", + ansi_tpcds_files + spark_tpcds_files, +) +def test_tpcds_to_ast(query_file, request, monkeypatch): + """ + Test that TPCDS queries are converted into DJ ASTs with no errors + """ + monkeypatch.chdir(request.fspath.dirname) + with open(query_file, encoding="UTF-8") as file: + content = file.read() + for query in content.split(";"): + if not query.isspace(): + parse(query) + + +@pytest.mark.skipif("not config.getoption('tpcds')") +@pytest.mark.parametrize( + "query_file", + ansi_tpcds_files + spark_tpcds_files, +) +def test_tpcds_circular_parse(query_file, request, monkeypatch): + """ + Test that the string representation of TPCDS DJ ASTs can be re-parsed + """ + monkeypatch.chdir(request.fspath.dirname) + with open(query_file, encoding="UTF-8") as file: + content = file.read() + for query in content.split(";"): + if not query.isspace(): + query_ast = parse(query) + # Below print statements show up when you include --capture=tee-sys + # These are helpful when you want to visually compare the query outputs + print( + """ + """, + ) + print( + f""" + ### ORIGINAL QUERY {query_file} ### + """, + ) + print(sqlparse.format(query, reindent=True, keyword_case="upper")) + print( + """ + ### DJ AST __str__ ### + """, + ) + print( + sqlparse.format( + str(query_ast), + reindent=True, + keyword_case="upper", + ), + ) + print( + """ + """, + ) + + +@pytest.mark.skipif("not config.getoption('tpcds')") +@pytest.mark.parametrize( + "query_file", + ansi_tpcds_files + spark_tpcds_files, +) +def test_tpcds_circular_parse_and_compare(query_file, request, monkeypatch): + """ + Compare the string representation of TPCDS DJ ASTs to the original query + """ + monkeypatch.chdir(request.fspath.dirname) + with open(query_file, encoding="UTF-8") as file: + content = file.read() + for query in content.split(";"): + if not query.isspace(): + query_ast = parse(query) + parse(str(query_ast)) + assert sqlparse.format( + query, + reindent=True, + keyword_case="upper", + ) == sqlparse.format( + str(query_ast), + reindent=True, + keyword_case="upper", + ) + + +@pytest.mark.parametrize( + "query_file", + spark_tpcds_files, +) +def test_tpcds_ast_parse_comparisons( + query_file, + request, + monkeypatch, + compare_query_strings_fixture, +): + """ + Test str -> parse(1) -> DJ AST -> str -> parse(2) and comparing (1) and (2) + """ + monkeypatch.chdir(request.fspath.dirname) + with open(query_file, encoding="UTF-8") as file: + content = file.read() + for query in content.split(";"): + if query.strip(): + assert compare_query_strings_fixture(query, str(parse(query))) diff --git a/datajunction-server/tests/sql/parsing/test_ast.py b/datajunction-server/tests/sql/parsing/test_ast.py new file mode 100644 index 000000000..f27986789 --- /dev/null +++ b/datajunction-server/tests/sql/parsing/test_ast.py @@ -0,0 +1,1281 @@ +""" +testing ast Nodes and their methods +""" + +from typing import cast + +import pytest +from httpx import AsyncClient +from sqlalchemy.ext.asyncio import AsyncSession + +from datajunction_server.errors import DJException +from datajunction_server.sql.parsing import ast, types +from datajunction_server.sql.parsing.backends.antlr4 import parse +from tests.sql.utils import compare_query_strings + + +@pytest.mark.asyncio +async def test_ast_compile_table( + session: AsyncSession, + client_with_roads: AsyncClient, +): + """ + Test compiling the primary table from a query + + Includes client_with_roads fixture so that roads examples are loaded into session + """ + query = parse("SELECT hard_hat_id, last_name, first_name FROM default.hard_hats") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.select.from_.relations[0].primary.compile(ctx) # type: ignore + assert not exc.errors + + node = query.select.from_.relations[ # type: ignore + 0 + ].primary._dj_node + assert node + assert node.name == "default.hard_hats" + + +@pytest.mark.asyncio +async def test_ast_compile_table_missing_node(session: AsyncSession): + """ + Test compiling a table when the node is missing. + """ + query = parse("SELECT a FROM default.foo") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.select.from_.relations[0].primary.compile(ctx) # type: ignore + assert "No node `default.foo` exists of kind" in exc.errors[0].message + + query = parse("SELECT a FROM default.foo, default.bar, default.baz") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.select.from_.relations[0].primary.compile(ctx) # type: ignore + assert "No node `default.foo` exists of kind" in exc.errors[0].message + await query.select.from_.relations[1].primary.compile(ctx) # type: ignore + assert "No node `default.bar` exists of kind" in exc.errors[1].message + await query.select.from_.relations[2].primary.compile(ctx) # type: ignore + assert "No node `default.baz` exists of kind" in exc.errors[2].message + + query = parse("SELECT a FROM default.foo LEFT JOIN default.bar") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.select.from_.relations[0].primary.compile(ctx) # type: ignore + assert "No node `default.foo` exists of kind" in exc.errors[0].message + await query.select.from_.relations[0].extensions[0].right.compile(ctx) # type: ignore + assert "No node `default.bar` exists of kind" in exc.errors[1].message + + query = parse("SELECT a FROM default.foo LEFT JOIN (SELECT b FROM default.bar) b") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.select.from_.relations[0].primary.compile(ctx) # type: ignore + assert "No node `default.foo` exists of kind" in exc.errors[0].message + await ( + query.select.from_.relations[0].extensions[0].right.select.from_.relations # type: ignore + )[0].primary.compile( + ctx, + ) + assert "No node `default.bar` exists of kind" in exc.errors[1].message + + +@pytest.mark.asyncio +async def test_ast_compile_query( + session: AsyncSession, + client_with_roads: AsyncClient, +): + """ + Test compiling an entire query + """ + query = parse("SELECT hard_hat_id, last_name, first_name FROM default.hard_hats") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + + node = query.select.from_.relations[ # type: ignore + 0 + ].primary._dj_node + assert node + assert node.name == "default.hard_hats" + + +@pytest.mark.asyncio +async def test_ast_compile_query_missing_columns( + session: AsyncSession, + client_with_roads: AsyncClient, +): + """ + Test compiling a query with missing columns + """ + query = parse("SELECT hard_hat_id, column_foo, column_bar FROM default.hard_hats") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert ( + "Column `column_foo` does not exist on any valid table." + in exc.errors[0].message + ) + assert ( + "Column `column_bar` does not exist on any valid table." + in exc.errors[1].message + ) + + node = query.select.from_.relations[ # type: ignore + 0 + ].primary._dj_node + assert node + assert node.name == "default.hard_hats" + + +@pytest.mark.asyncio +async def test_ast_compile_missing_references(session: AsyncSession): + """ + Test getting dependencies from a query that has dangling references when set not to raise + """ + query = parse("select a, b, c from does_not_exist") + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + _, danglers = await query.extract_dependencies(ctx) + assert "does_not_exist" in danglers + + +@pytest.mark.asyncio +async def test_ast_compile_raise_on_ambiguous_column( + session: AsyncSession, + client_with_basic: AsyncClient, +): + """ + Test raising on ambiguous column + """ + query = parse( + "SELECT country FROM basic.transform.country_agg a " + "LEFT JOIN basic.dimension.countries b on a.country = b.country", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert ( + "Column `country` found in multiple tables. Consider using fully qualified name." + in exc.errors[0].message + ) + + +@pytest.mark.asyncio +async def test_ast_compile_having( + session: AsyncSession, + client_with_dbt: AsyncClient, +): + """ + Test using having + """ + query = parse( + "SELECT order_date, status FROM dbt.source.jaffle_shop.orders " + "GROUP BY dbt.dimension.customers.id " + "HAVING dbt.dimension.customers.id=1", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + node = query.select.from_.relations[0].primary._dj_node # type: ignore + assert node + assert node.name == "dbt.source.jaffle_shop.orders" + + +@pytest.mark.asyncio +async def test_ast_compile_explode(session: AsyncSession): + """ + Test explode + """ + query_str = """ + SELECT EXPLODE(foo.my_map) AS (col1, col2) + FROM (SELECT MAP(1.0, '2', 3.0, '4') AS my_map) AS foo + """ + query = parse(query_str) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + + assert query.columns[0].name == ast.Name( # type: ignore + name="col1", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="col2", + quote_style="", + namespace=None, + ) + assert isinstance(query.columns[0].type, types.FloatType) + assert isinstance(query.columns[1].type, types.StringType) + + assert compare_query_strings(str(query), query_str) + + +@pytest.mark.asyncio +async def test_ast_compile_lateral_view_explode1(session: AsyncSession): + """ + Test lateral view explode + """ + + query = parse( + """SELECT a, b, c, c_age.col, d_age.col + FROM (SELECT 1 as a, 2 as b, 3 as c, ARRAY(30,60) as d, ARRAY(40,80) as e) AS foo + LATERAL VIEW EXPLODE(d) c_age + LATERAL VIEW EXPLODE(e) d_age; + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + assert not exc.errors + + assert query.columns[0].is_compiled() + assert query.columns[1].is_compiled() + assert query.columns[2].is_compiled() + assert query.columns[3].is_compiled() + assert query.columns[4].is_compiled() + assert query.columns[0].name == ast.Name( # type: ignore + name="a", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="b", + quote_style="", + namespace=None, + ) + assert query.columns[2].name == ast.Name( # type: ignore + name="c", + quote_style="", + namespace=None, + ) + assert query.columns[3].name == ast.Name( # type: ignore + name="col", + quote_style="", + namespace=ast.Name(name="c_age", quote_style="", namespace=None), + ) + assert query.columns[4].name == ast.Name( # type: ignore + name="col", + quote_style="", + namespace=ast.Name(name="d_age", quote_style="", namespace=None), + ) + assert isinstance(query.columns[0].type, types.IntegerType) + assert isinstance(query.columns[1].type, types.IntegerType) + assert isinstance(query.columns[2].type, types.IntegerType) + assert isinstance(query.columns[3].type, types.IntegerType) + assert isinstance(query.columns[4].type, types.IntegerType) + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[1].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[2].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[3].table.alias_or_name == ast.Name( # type: ignore + name="c_age", + quote_style="", + namespace=None, + ) + assert query.columns[4].table.alias_or_name == ast.Name( # type: ignore + name="d_age", + quote_style="", + namespace=None, + ) + + +@pytest.mark.asyncio +async def test_ast_compile_lateral_view_explode2(session: AsyncSession): + """ + Test lateral view explode + """ + + query = parse( + """SELECT a, b, c, c_age, d_age + FROM (SELECT 1 as a, 2 as b, 3 as c, ARRAY(30,60) as d, ARRAY(40,80) as e) AS foo + LATERAL VIEW EXPLODE(d) AS c_age + LATERAL VIEW EXPLODE(e) AS d_age;""", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + assert query.columns[0].is_compiled() + assert query.columns[1].is_compiled() + assert query.columns[2].is_compiled() + assert query.columns[3].is_compiled() + assert query.columns[4].is_compiled() + assert query.columns[0].name == ast.Name( # type: ignore + name="a", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="b", + quote_style="", + namespace=None, + ) + assert query.columns[2].name == ast.Name( # type: ignore + name="c", + quote_style="", + namespace=None, + ) + assert query.columns[3].name == ast.Name( # type: ignore + name="c_age", + quote_style="", + namespace=None, + ) + assert query.columns[4].name == ast.Name( # type: ignore + name="d_age", + quote_style="", + namespace=None, + ) + assert isinstance(query.columns[0].type, types.IntegerType) + assert isinstance(query.columns[1].type, types.IntegerType) + assert isinstance(query.columns[2].type, types.IntegerType) + assert isinstance(query.columns[3].type, types.IntegerType) + assert isinstance(query.columns[4].type, types.IntegerType) + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[1].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[2].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[3].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + assert query.columns[4].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + + +@pytest.mark.asyncio +async def test_ast_compile_lateral_view_explode3(session: AsyncSession): + """ + Test lateral view explode of array constant + """ + + query = parse( + """SELECT a, b, c, d, e, v.en + FROM (SELECT 1 as a, 2 as b, 3 as c) AS foo + LATERAL VIEW EXPLODE(ARRAY(30, 60)) AS d + LATERAL VIEW EXPLODE(ARRAY(40, 80)) AS e + LATERAL VIEW EXPLODE(ARRAY(100, 200)) v AS en;""", + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert parse(str(query)) == query + assert "LATERAL VIEW EXPLODE(ARRAY(100, 200)) v AS en" in str(query) + + assert query.columns[0].is_compiled() + assert query.columns[1].is_compiled() + assert query.columns[2].is_compiled() + assert query.columns[3].is_compiled() + assert query.columns[4].is_compiled() + assert query.columns[5].is_compiled() + assert query.columns[0].name == ast.Name( # type: ignore + name="a", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="b", + quote_style="", + namespace=None, + ) + assert query.columns[2].name == ast.Name( # type: ignore + name="c", + quote_style="", + namespace=None, + ) + assert query.columns[3].name == ast.Name( # type: ignore + name="d", + quote_style="", + namespace=None, + ) + assert query.columns[4].name == ast.Name( # type: ignore + name="e", + quote_style="", + namespace=None, + ) + assert query.columns[5].name == ast.Name( # type: ignore + name="en", + quote_style="", + namespace=ast.Name(name="v"), + ) + assert isinstance(query.columns[0].type, types.IntegerType) + assert isinstance(query.columns[1].type, types.IntegerType) + assert isinstance(query.columns[2].type, types.IntegerType) + assert isinstance(query.columns[3].type, types.IntegerType) + assert isinstance(query.columns[4].type, types.IntegerType) + assert isinstance(query.columns[5].type, types.IntegerType) + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[1].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[2].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[3].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + assert query.columns[4].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + assert query.columns[5].table.alias_or_name == ast.Name( # type: ignore + name="v", + quote_style="", + namespace=None, + ) + + +@pytest.mark.asyncio +async def test_ast_compile_lateral_view_explode4( + session: AsyncSession, + client: AsyncClient, +): + """ + Test lateral view explode of an upstream column + """ + await client.post("/namespaces/default/") + response = await client.post( + "/nodes/source/", + json={ + "columns": [ + {"name": "a", "type": "int"}, + ], + "description": "Placeholder source node", + "mode": "published", + "name": "default.a", + "catalog": "default", + "schema_": "a", + "table": "a", + }, + ) + assert response.status_code in (200, 201) + response = await client.post( + "/nodes/transform/", + json={ + "description": "A projection with an array", + "query": "SELECT ARRAY(30, 60) as foo_array FROM default.a", + "mode": "published", + "name": "default.foo_array_example", + }, + ) + assert response.status_code in (200, 201) + + query = parse( + """ + SELECT foo_array, a, b + FROM default.foo_array_example + LATERAL VIEW EXPLODE(foo_array) AS a + LATERAL VIEW EXPLODE(foo_array) AS b; + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + assert query.columns[0].is_compiled() + assert query.columns[1].is_compiled() + assert query.columns[2].is_compiled() + assert query.columns[0].name == ast.Name( # type: ignore + name="foo_array", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="a", + quote_style="", + namespace=None, + ) + assert query.columns[2].name == ast.Name( # type: ignore + name="b", + quote_style="", + namespace=None, + ) + assert isinstance(query.columns[0].type, types.ListType) + assert isinstance(query.columns[1].type, types.IntegerType) + assert isinstance(query.columns[2].type, types.IntegerType) + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="foo_array_example", + quote_style="", + namespace=ast.Name(name="default", quote_style="", namespace=None), + ) + assert query.columns[1].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + assert query.columns[2].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + + +@pytest.mark.asyncio +async def test_ast_compile_lateral_view_explode5(session: AsyncSession): + """ + Test both a lateral and horizontal explode + """ + + query = parse( + """SELECT a, b, c, d.col, e.col, EXPLODE(ARRAY(30, 60)) + FROM (SELECT 1 as a, 2 as b, 3 as c) AS foo + LATERAL VIEW EXPLODE(ARRAY(30, 60)) d + LATERAL VIEW EXPLODE(ARRAY(40, 80)) e; + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + assert not exc.errors + + assert query.columns[0].is_compiled() + assert query.columns[1].is_compiled() + assert query.columns[2].is_compiled() + assert query.columns[3].is_compiled() + assert query.columns[4].is_compiled() + assert query.columns[0].name == ast.Name( # type: ignore + name="a", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="b", + quote_style="", + namespace=None, + ) + assert query.columns[2].name == ast.Name( # type: ignore + name="c", + quote_style="", + namespace=None, + ) + assert query.columns[3].name == ast.Name( # type: ignore + name="col", + quote_style="", + namespace=ast.Name(name="d", quote_style="", namespace=None), + ) + assert query.columns[4].name == ast.Name( # type: ignore + name="col", + quote_style="", + namespace=ast.Name(name="e", quote_style="", namespace=None), + ) + assert query.columns[5].name == ast.Name( # type: ignore + name="col", + quote_style="", + namespace=None, + ) + assert isinstance(query.columns[0].type, types.IntegerType) + assert isinstance(query.columns[1].type, types.IntegerType) + assert isinstance(query.columns[2].type, types.IntegerType) + assert isinstance(query.columns[3].type, types.IntegerType) + assert isinstance(query.columns[4].type, types.IntegerType) + assert isinstance(query.columns[5].type, types.IntegerType) + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[1].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[2].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[3].table.alias_or_name == ast.Name( # type: ignore + name="d", + quote_style="", + namespace=None, + ) + assert query.columns[4].table.alias_or_name == ast.Name( # type: ignore + name="e", + quote_style="", + namespace=None, + ) + assert query.columns[5].table is None # type: ignore + + +@pytest.mark.asyncio +async def test_ast_compile_lateral_view_explode6(session: AsyncSession): + """ + Test lateral view explode of a map (table aliased) + """ + + query = parse( + """SELECT a, b, c, c_age.key, c_age.value, d_age.key, d_age.value + FROM ( + SELECT 1 as a, 2 as b, 3 as c, MAP('a',1,'b',2) as d, MAP('c',1,'d',2) as e + ) AS foo + LATERAL VIEW EXPLODE(d) c_age + LATERAL VIEW EXPLODE(e) d_age; + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + assert not exc.errors + + assert query.columns[0].is_compiled() + assert query.columns[1].is_compiled() + assert query.columns[2].is_compiled() + assert query.columns[3].is_compiled() + assert query.columns[4].is_compiled() + assert query.columns[5].is_compiled() + assert query.columns[6].is_compiled() + assert query.columns[0].name == ast.Name( # type: ignore + name="a", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="b", + quote_style="", + namespace=None, + ) + assert query.columns[2].name == ast.Name( # type: ignore + name="c", + quote_style="", + namespace=None, + ) + assert query.columns[3].name == ast.Name( # type: ignore + name="key", + quote_style="", + namespace=ast.Name("c_age"), + ) + assert query.columns[4].name == ast.Name( # type: ignore + name="value", + quote_style="", + namespace=ast.Name("c_age"), + ) + assert query.columns[5].name == ast.Name( # type: ignore + name="key", + quote_style="", + namespace=ast.Name("d_age"), + ) + assert query.columns[6].name == ast.Name( # type: ignore + name="value", + quote_style="", + namespace=ast.Name("d_age"), + ) + assert isinstance(query.columns[0].type, types.IntegerType) + assert isinstance(query.columns[1].type, types.IntegerType) + assert isinstance(query.columns[2].type, types.IntegerType) + assert isinstance(query.columns[3].type, types.StringType) + assert isinstance(query.columns[4].type, types.IntegerType) + assert isinstance(query.columns[5].type, types.StringType) + assert isinstance(query.columns[6].type, types.IntegerType) + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[1].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[2].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[3].table.alias_or_name == ast.Name( # type: ignore + name="c_age", + quote_style="", + namespace=None, + ) + assert query.columns[4].table.alias_or_name == ast.Name( # type: ignore + name="c_age", + quote_style="", + namespace=None, + ) + assert query.columns[5].table.alias_or_name == ast.Name( # type: ignore + name="d_age", + quote_style="", + namespace=None, + ) + assert query.columns[6].table.alias_or_name == ast.Name( # type: ignore + name="d_age", + quote_style="", + namespace=None, + ) + + +@pytest.mark.asyncio +async def test_ast_compile_lateral_view_explode7(session: AsyncSession): + """ + Test lateral view explode of a map (column aliased) + """ + + query = parse( + """SELECT a, b, c, k1, v1, k2, v2 + FROM ( + SELECT 1 as a, 2 as b, 3 as c, MAP('a',1,'b',2) as d, MAP('c',1,'d',2) as e + ) AS foo + LATERAL VIEW EXPLODE(d) AS k1, v1 + LATERAL VIEW EXPLODE(e) AS k2, v2; + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + assert not exc.errors + + assert query.columns[0].is_compiled() + assert query.columns[1].is_compiled() + assert query.columns[2].is_compiled() + assert query.columns[3].is_compiled() + assert query.columns[4].is_compiled() + assert query.columns[5].is_compiled() + assert query.columns[6].is_compiled() + assert query.columns[0].name == ast.Name( # type: ignore + name="a", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="b", + quote_style="", + namespace=None, + ) + assert query.columns[2].name == ast.Name( # type: ignore + name="c", + quote_style="", + namespace=None, + ) + assert query.columns[3].name == ast.Name( # type: ignore + name="k1", + quote_style="", + namespace=None, + ) + assert query.columns[4].name == ast.Name( # type: ignore + name="v1", + quote_style="", + namespace=None, + ) + assert query.columns[5].name == ast.Name( # type: ignore + name="k2", + quote_style="", + namespace=None, + ) + assert query.columns[6].name == ast.Name( # type: ignore + name="v2", + quote_style="", + namespace=None, + ) + assert isinstance(query.columns[0].type, types.IntegerType) + assert isinstance(query.columns[1].type, types.IntegerType) + assert isinstance(query.columns[2].type, types.IntegerType) + assert isinstance(query.columns[3].type, types.StringType) + assert isinstance(query.columns[4].type, types.IntegerType) + assert isinstance(query.columns[5].type, types.StringType) + assert isinstance(query.columns[6].type, types.IntegerType) + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[1].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[2].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[3].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + assert query.columns[4].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + assert query.columns[5].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + assert query.columns[6].table.alias_or_name == ast.Name( # type: ignore + name="EXPLODE", + quote_style="", + namespace=None, + ) + + +@pytest.mark.asyncio +async def test_ast_compile_lateral_view_explode8(session: AsyncSession): + """ + Test lateral view explode of a map (both table and column aliased) + """ + + query = parse( + """SELECT a, b, c, c_age.k1, c_age.v1, d_age.k2, d_age.v2 + FROM ( + SELECT 1 as a, 2 as b, 3 as c, MAP('a',1,'b',2) as d, MAP('c',1,'d',2) as e + ) AS foo + LATERAL VIEW EXPLODE(d) c_age AS k1, v1 + LATERAL VIEW EXPLODE(e) d_age AS k2, v2; + """, + ) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + + assert not exc.errors + + assert query.columns[0].is_compiled() + assert query.columns[1].is_compiled() + assert query.columns[2].is_compiled() + assert query.columns[3].is_compiled() + assert query.columns[4].is_compiled() + assert query.columns[5].is_compiled() + assert query.columns[6].is_compiled() + assert query.columns[0].name == ast.Name( # type: ignore + name="a", + quote_style="", + namespace=None, + ) + assert query.columns[1].name == ast.Name( # type: ignore + name="b", + quote_style="", + namespace=None, + ) + assert query.columns[2].name == ast.Name( # type: ignore + name="c", + quote_style="", + namespace=None, + ) + assert query.columns[3].name == ast.Name( # type: ignore + name="k1", + quote_style="", + namespace=ast.Name("c_age"), + ) + assert query.columns[4].name == ast.Name( # type: ignore + name="v1", + quote_style="", + namespace=ast.Name("c_age"), + ) + assert query.columns[5].name == ast.Name( # type: ignore + name="k2", + quote_style="", + namespace=ast.Name("d_age"), + ) + assert query.columns[6].name == ast.Name( # type: ignore + name="v2", + quote_style="", + namespace=ast.Name("d_age"), + ) + assert isinstance(query.columns[0].type, types.IntegerType) + assert isinstance(query.columns[1].type, types.IntegerType) + assert isinstance(query.columns[2].type, types.IntegerType) + assert isinstance(query.columns[3].type, types.StringType) + assert isinstance(query.columns[4].type, types.IntegerType) + assert isinstance(query.columns[5].type, types.StringType) + assert isinstance(query.columns[6].type, types.IntegerType) + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[1].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[2].table.alias_or_name == ast.Name( # type: ignore + name="foo", + quote_style="", + namespace=None, + ) + assert query.columns[3].table.alias_or_name == ast.Name( # type: ignore + name="c_age", + quote_style="", + namespace=None, + ) + assert query.columns[4].table.alias_or_name == ast.Name( # type: ignore + name="c_age", + quote_style="", + namespace=None, + ) + assert query.columns[5].table.alias_or_name == ast.Name( # type: ignore + name="d_age", + quote_style="", + namespace=None, + ) + assert query.columns[6].table.alias_or_name == ast.Name( # type: ignore + name="d_age", + quote_style="", + namespace=None, + ) + + +@pytest.mark.asyncio +async def test_ast_compile_inline_table(session: AsyncSession): + """ + Test parsing and compiling an inline table with VALUES (...) + """ + query_str_explicit_columns = """SELECT + w.a AS one, + w.b AS two, + w.c AS three, + w.d AS four +FROM VALUES + ('1', 1, 2, 1), + ('11', 1, 3, 1), + ('111', 1, 2, 1), + ('1111', 1, 3, 1), + ('11111', 1, 4, 1), + ('111111', 1, 5, 1) AS w(a, b, c, d)""" + expected_columns = [ + ("one", types.StringType()), + ("two", types.IntegerType()), + ("three", types.IntegerType()), + ("four", types.IntegerType()), + ] + expected_values = [ + [ + ast.String(value="'1'"), + ast.Number(value=1, _type=None), + ast.Number(value=2, _type=None), + ast.Number(value=1, _type=None), + ], + [ + ast.String(value="'11'"), + ast.Number(value=1, _type=None), + ast.Number(value=3, _type=None), + ast.Number(value=1, _type=None), + ], + [ + ast.String(value="'111'"), + ast.Number(value=1, _type=None), + ast.Number(value=2, _type=None), + ast.Number(value=1, _type=None), + ], + [ + ast.String(value="'1111'"), + ast.Number(value=1, _type=None), + ast.Number(value=3, _type=None), + ast.Number(value=1, _type=None), + ], + [ + ast.String(value="'11111'"), + ast.Number(value=1, _type=None), + ast.Number(value=4, _type=None), + ast.Number(value=1, _type=None), + ], + [ + ast.String(value="'111111'"), + ast.Number(value=1, _type=None), + ast.Number(value=5, _type=None), + ast.Number(value=1, _type=None), + ], + ] + expected_table_name = ast.Name( # type: ignore + name="w", + quote_style="", + namespace=None, + ) + query = parse(query_str_explicit_columns) + exc = DJException() + assert not exc.errors + + ctx = ast.CompileContext(session=session, exception=exc) + assert parse(str(query)) == query + assert compare_query_strings(str(query), query_str_explicit_columns) + + await query.compile(ctx) + assert [ + (col.alias_or_name.name, col.type) # type: ignore + for col in query.select.projection + ] == expected_columns + assert query.select.from_.relations[0].primary.values == expected_values # type: ignore + assert query.columns[0].table.alias_or_name == expected_table_name # type: ignore + + query_str_implicit_columns = """SELECT + w.col1 AS one, + w.col2 AS two, + w.col3 AS three, + w.col4 AS four +FROM VALUES + ('1', 1, 2, 1), + ('11', 1, 3, 1), + ('111', 1, 2, 1), + ('1111', 1, 3, 1), + ('11111', 1, 4, 1), + ('111111', 1, 5, 1) AS w""" + query = parse(query_str_implicit_columns) + exc = DJException() + assert not exc.errors + + ctx = ast.CompileContext(session=session, exception=exc) + assert parse(str(query)) == query + assert compare_query_strings(str(query), query_str_implicit_columns) + + await query.compile(ctx) + assert [ + (col.alias_or_name.name, col.type) # type: ignore + for col in query.select.projection + ] == expected_columns + assert query.select.from_.relations[0].primary.values == expected_values # type: ignore + assert query.columns[0].table.alias_or_name == expected_table_name # type: ignore + + query_str = """SELECT tab.source FROM VALUES ('a'), ('b'), ('c') AS tab(source)""" + query = parse(query_str) + exc = DJException() + assert not exc.errors + assert str(parse(str(query))) == str(parse(query_str)) + + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert [ + (col.alias_or_name.name, col.type) # type: ignore + for col in query.select.projection + ] == [("source", types.StringType())] + assert [ + val[0].value + for val in query.select.from_.relations[0].primary.values # type: ignore + ] == ["'a'", "'b'", "'c'"] + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="tab", + quote_style="", + namespace=None, + ) + + query_str = """SELECT tab.col1 FROM VALUES ('a'), ('b'), ('c') AS tab""" + query = parse(query_str) + exc = DJException() + assert not exc.errors + assert str(parse(str(query))) == str(parse(query_str)) + + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert [ + (col.alias_or_name.name, col.type) # type: ignore + for col in query.select.projection + ] == [("col1", types.StringType())] + assert [ + val[0].value + for val in query.select.from_.relations[0].primary.values # type: ignore + ] == ["'a'", "'b'", "'c'"] + assert query.columns[0].table.alias_or_name == ast.Name( # type: ignore + name="tab", + quote_style="", + namespace=None, + ) + + +@pytest.mark.asyncio +async def test_ast_subscript_handling(session: AsyncSession): + """ + Test parsing a query with subscripts + """ + query_str = """SELECT + w.a[1]['a'] as a_, + w.a[1]['b'] as b_ +FROM VALUES + (array(named_struct('a', 1, 'b', 2)), array(named_struct('a', 300, 'b', 20))) AS w(a)""" + query = parse(str(query_str)) + assert str(parse(str(query))) == str(parse(str(query_str))) + exc = DJException() + ctx = ast.CompileContext(session=session, exception=exc) + await query.compile(ctx) + assert not exc.errors + assert [ + (col.alias_or_name.name, col.type) # type: ignore + for col in query.select.projection + ] == [("a_", types.IntegerType()), ("b_", types.IntegerType())] + + +@pytest.mark.asyncio +async def test_ast_hints(): + """ + Test that parsing a query with hints will yield an AST that includes the hints + """ + # Test join hints for broadcast joins + query_str = ( + """SELECT /*+ BROADCAST(t1) */ * FROM t1 INNER JOIN t2 ON t1.key = t2.key""" + ) + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "BROADCAST" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t1"] + assert "/*+ BROADCAST(t1) */" in str(query) + + query_str = ( + """SELECT /*+ BROADCASTJOIN(t1) */ * FROM t1 INNER JOIN t2 ON t1.key = t2.key""" + ) + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "BROADCASTJOIN" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t1"] + assert "/*+ BROADCASTJOIN(t1) */" in str(query) + + query_str = ( + """SELECT /*+ MAPJOIN(t2) */ * FROM t1 right JOIN t2 ON t1.key = t2.key""" + ) + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "MAPJOIN" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t2"] + assert "/*+ MAPJOIN(t2) */" in str(query) + + # Test join hints for shuffle sort merge join + query_str = ( + """SELECT /*+ SHUFFLE_MERGE(t1) */ * FROM t1 INNER JOIN t2 ON t1.key = t2.key""" + ) + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "SHUFFLE_MERGE" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t1"] + assert "/*+ SHUFFLE_MERGE(t1) */" in str(query) + + query_str = ( + """SELECT /*+ MERGEJOIN(t2) */ * FROM t1 INNER JOIN t2 ON t1.key = t2.key""" + ) + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "MERGEJOIN" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t2"] + assert "/*+ MERGEJOIN(t2) */" in str(query) + + query_str = """SELECT /*+ MERGE(t1) */ * FROM t1 INNER JOIN t2 ON t1.key = t2.key""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "MERGE" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t1"] + assert "/*+ MERGE(t1) */" in str(query) + + # Test join hints for shuffle hash join + query_str = ( + """SELECT /*+ SHUFFLE_HASH(t1) */ * FROM t1 INNER JOIN t2 ON t1.key = t2.key""" + ) + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "SHUFFLE_HASH" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t1"] + assert "/*+ SHUFFLE_HASH(t1) */" in str(query) + + # Test join hints for shuffle-and-replicate nested loop join + query_str = "SELECT /*+ SHUFFLE_REPLICATE_NL(t1) */ * FROM t1 INNER JOIN t2 ON t1.key = t2.key" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "SHUFFLE_REPLICATE_NL" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t1"] + assert "/*+ SHUFFLE_REPLICATE_NL(t1) */" in str(query) + + # Test multiple join hints + query_str = ( + "SELECT /*+ BROADCAST(t1), MERGE(t1, t2) */ * FROM t1 " + "INNER JOIN t2 ON t1.key = t2.key" + ) + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "BROADCAST" + assert [col.name.name for col in query.select.hints[0].parameters] == ["t1"] + assert cast(ast.Hint, query.select.hints[1]).name.name == "MERGE" + assert [col.name.name for col in query.select.hints[1].parameters] == ["t1", "t2"] + assert "/*+ BROADCAST(t1), MERGE(t1, t2) */" in str(query) + + # Test partitioning hints + query_str = """SELECT /*+ REPARTITION(c) */ c, b, a FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REPARTITION" + assert [str(col) for col in query.select.hints[0].parameters] == ["c"] + assert "/*+ REPARTITION(c) */" in str(query) + + query_str = """SELECT /*+ COALESCE(3) */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "COALESCE" + assert [str(col) for col in query.select.hints[0].parameters] == ["3"] + assert "/*+ COALESCE(3) */" in str(query) + + query_str = """SELECT /*+ REPARTITION(3) */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REPARTITION" + assert [str(col) for col in query.select.hints[0].parameters] == ["3"] + assert "/*+ REPARTITION(3) */" in str(query) + + query_str = """SELECT /*+ REPARTITION(3, c) */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REPARTITION" + assert [str(col) for col in query.select.hints[0].parameters] == ["3", "c"] + assert "/*+ REPARTITION(3, c) */" in str(query) + + query_str = """SELECT /*+ REPARTITION_BY_RANGE(c) */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REPARTITION_BY_RANGE" + assert [str(col) for col in query.select.hints[0].parameters] == ["c"] + assert "/*+ REPARTITION_BY_RANGE(c) */" in str(query) + + query_str = """SELECT /*+ REPARTITION_BY_RANGE(3, c) */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REPARTITION_BY_RANGE" + assert [str(col) for col in query.select.hints[0].parameters] == ["3", "c"] + assert "/*+ REPARTITION_BY_RANGE(3, c) */" in str(query) + + query_str = """SELECT /*+ REBALANCE */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REBALANCE" + assert [str(col) for col in query.select.hints[0].parameters] == [] + assert "/*+ REBALANCE */" in str(query) + + query_str = """SELECT /*+ REBALANCE(3) */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REBALANCE" + assert [str(col) for col in query.select.hints[0].parameters] == ["3"] + assert "/*+ REBALANCE(3) */" in str(query) + + query_str = """SELECT /*+ REBALANCE(c) */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REBALANCE" + assert [str(col) for col in query.select.hints[0].parameters] == ["c"] + assert "/*+ REBALANCE(c) */" in str(query) + + query_str = """SELECT /*+ REBALANCE(3, c) */ * FROM t""" + query = parse(str(query_str)) + assert cast(ast.Hint, query.select.hints[0]).name.name == "REBALANCE" + assert [str(col) for col in query.select.hints[0].parameters] == ["3", "c"] + assert "/*+ REBALANCE(3, c) */" in str(query) diff --git a/datajunction-server/tests/sql/utils.py b/datajunction-server/tests/sql/utils.py new file mode 100644 index 000000000..991d20f62 --- /dev/null +++ b/datajunction-server/tests/sql/utils.py @@ -0,0 +1,48 @@ +""" +Helper functions. +""" + +import os + +from sqlalchemy.sql import Select + +from datajunction_server.sql.parsing.backends.antlr4 import parse + +TPCDS_QUERY_SET = ["tpcds_q01", "tpcds_q99"] + + +def query_to_string(query: Select) -> str: + """ + Helper function to compile a SQLAlchemy query to a string. + """ + return str(query.compile(compile_kwargs={"literal_binds": True})) + + +def compare_query_strings(str1: str, str2: str) -> bool: + """ + compare two query strings + """ + return parse(str(str1)).compare(parse(str(str2))) + + +def assert_query_strings_equal(str1: str, str2: str): + """ + Assert that two query strings are equal + """ + assert str(parse(str(str1))) == str(parse(str(str2))) + + +def read_query(name: str) -> str: + """ + Read a tpcds query given filename e.g. tpcds_q01.sql + """ + with open( + os.path.join( + os.path.dirname(os.path.abspath(__file__)), + "parsing", + "queries", + name, + ), + encoding="utf-8", + ) as file: + return file.read() diff --git a/datajunction-server/tests/superset_test.py b/datajunction-server/tests/superset_test.py new file mode 100644 index 000000000..58b61d788 --- /dev/null +++ b/datajunction-server/tests/superset_test.py @@ -0,0 +1,70 @@ +""" +Tests for the Superset DB engine spec. +""" + +from pytest_mock import MockerFixture +from requests_mock.mocker import Mocker +from yarl import URL + +from datajunction_server.superset import DJEngineSpec + + +def test_select_star() -> None: + """ + Test ``select_star``. + """ + assert DJEngineSpec.select_star() == ( + "SELECT 'DJ does not support data preview, since the `metrics` table is a " + "virtual table representing the whole repository of metrics. An " + "administrator should configure the DJ database with the " + "`disable_data_preview` attribute set to `true` in the `extra` field.' AS " + "warning" + ) + + +def test_get_metrics(mocker: MockerFixture, requests_mock: Mocker) -> None: + """ + Test ``get_metrics``. + """ + database = mocker.MagicMock() + with database.get_sqla_engine_with_context() as engine: + engine.connect().connection.base_url = URL( + "https://localhost:8000/0", + ) + requests_mock.get( + "https://localhost:8000/0/metrics/", + json=["core.num_comments"], + ) + inspector = mocker.MagicMock() + assert DJEngineSpec.get_metrics(database, inspector, "some-table", "main") == [ + { + "metric_name": "core.num_comments", + "expression": '"core.num_comments"', + "description": "", + }, + ] + + +def test_get_view_names(mocker: MockerFixture) -> None: + """ + Test ``get_view_names``. + """ + database = mocker.MagicMock() + inspector = mocker.MagicMock() + assert DJEngineSpec.get_view_names(database, inspector, "main") == set() + + +def test_execute(mocker: MockerFixture) -> None: + """ + Test ``execute``. + + The method is almost identical to the superclass, with the only difference that it + quotes identifiers starting with an underscore. + """ + cursor = mocker.MagicMock() + super_ = mocker.patch("datajunction_server.superset.super") + DJEngineSpec.execute(cursor, "SELECT time AS __timestamp FROM table") + super_().execute.assert_called_with( + cursor, + 'SELECT time AS "__timestamp" FROM table', + ) diff --git a/datajunction-server/tests/transpilation_test.py b/datajunction-server/tests/transpilation_test.py new file mode 100644 index 000000000..871843e66 --- /dev/null +++ b/datajunction-server/tests/transpilation_test.py @@ -0,0 +1,140 @@ +"""Tests the transpilation plugins.""" + +from unittest import mock + +from datajunction_server.models.engine import Dialect +from datajunction_server.models.metric import TranslatedSQL +from datajunction_server.models.sql import GeneratedSQL, NodeNameVersion +from datajunction_server.transpilation import ( + SQLGlotTranspilationPlugin, + SQLTranspilationPlugin, + transpile_sql, +) +from datajunction_server.models.dialect import Dialect, DialectRegistry + + +def test_get_transpilation_plugin(regular_settings) -> None: + """ + Test ``get_transpilation_plugin`` + """ + plugin = DialectRegistry.get_plugin(Dialect.SPARK.value) + assert plugin == SQLGlotTranspilationPlugin + assert plugin.package_name == "sqlglot" + + plugin = DialectRegistry.get_plugin(Dialect.TRINO.value) + assert plugin == SQLGlotTranspilationPlugin + + plugin = DialectRegistry.get_plugin(Dialect.DRUID.value) + assert plugin == SQLGlotTranspilationPlugin + + +def test_get_transpilation_plugin_unknown() -> None: + """ + Test ``get_transpilation_plugin`` with an unknown plugin + """ + plugin = DialectRegistry.get_plugin("random") + assert not plugin + + +def test_translated_sql() -> None: + """ + Verify that the TranslatedSQL object will call the configured transpilation plugin + """ + translated_sql = TranslatedSQL.create( + sql="1", + columns=[], + dialect=Dialect.SPARK, + ) + assert translated_sql.sql == "1" + generated_sql = GeneratedSQL.create( + node=NodeNameVersion(name="a", version="v1.0"), + sql="1", + columns=[], + dialect=Dialect.SPARK, + ) + assert generated_sql.sql == "1" + + +def test_druid_sql(regular_settings) -> None: + """ + Verify that the TranslatedSQL object will call the configured transpilation plugin + """ + translated_sql = TranslatedSQL.create( + sql="SELECT 1", + columns=[], + dialect=Dialect.DRUID, + ) + assert translated_sql.sql == "SELECT\n 1" + generated_sql = GeneratedSQL.create( + node=NodeNameVersion(name="a", version="v1.0"), + sql="SELECT 1", + columns=[], + dialect=Dialect.DRUID, + ) + assert generated_sql.sql == "SELECT\n 1" + + +def test_sqlglot_transpile_success(): + with mock.patch( + "datajunction_server.transpilation.settings.transpilation_plugins", + return_value=["sqlglot"], + ): + plugin = SQLGlotTranspilationPlugin() + DialectRegistry.register("custom123", SQLGlotTranspilationPlugin) + result = plugin.transpile_sql( + "SELECT * FROM bar", + input_dialect=Dialect.TRINO, + output_dialect=Dialect.SPARK, + ) + assert result == "SELECT\n *\nFROM bar" + + result = plugin.transpile_sql( + "SELECT * FROM bar", + input_dialect=Dialect.TRINO, + output_dialect=Dialect("custom123"), + ) + assert result == "SELECT * FROM bar" + + +def test_default_transpile_success(): + with mock.patch( + "datajunction_server.transpilation.settings.transpilation_plugins", + return_value=["default"], + ): + plugin = SQLTranspilationPlugin() + DialectRegistry.register("custom123", SQLTranspilationPlugin) + result = plugin.transpile_sql( + "SELECT * FROM bar", + input_dialect=Dialect.TRINO, + output_dialect=Dialect.SPARK, + ) + assert result == "SELECT * FROM bar" + + result = plugin.transpile_sql( + "SELECT * FROM bar", + input_dialect=Dialect.TRINO, + output_dialect=Dialect("custom123"), + ) + assert result == "SELECT * FROM bar" + + +def test_transpile_sql(): + with mock.patch( + "datajunction_server.transpilation.settings.transpilation_plugins", + return_value=["default"], + ): + assert transpile_sql("1", dialect=Dialect.SPARK) == "1" + assert transpile_sql("SELECT 1", dialect=None) == "SELECT 1" + + +def test_translated_sql_no_dialect() -> None: + """ + Verify that the TranslatedSQL object will call the configured transpilation plugin + """ + translated_sql = TranslatedSQL.create( + sql="1", + columns=[], + dialect=None, + ) + assert translated_sql.sql == "1" + assert TranslatedSQL.validate_dialect(translated_sql.dialect) is None diff --git a/datajunction-server/tests/utils_test.py b/datajunction-server/tests/utils_test.py new file mode 100644 index 000000000..b579b8761 --- /dev/null +++ b/datajunction-server/tests/utils_test.py @@ -0,0 +1,910 @@ +""" +Tests for ``datajunction_server.utils``. +""" + +from typing import cast +import logging +from unittest.mock import AsyncMock, MagicMock, patch +import json +import pytest +from starlette.requests import Request +from starlette.datastructures import Headers +from starlette.types import Scope + +import pytest +from pytest_mock import MockerFixture +from sqlalchemy.exc import OperationalError +from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker +from starlette.background import BackgroundTasks +from testcontainers.postgres import PostgresContainer +from yarl import URL + +from datajunction_server.config import DatabaseConfig, Settings +from datajunction_server.database.user import OAuthProvider, User +from datajunction_server.errors import ( + DJDatabaseException, + DJException, + DJUninitializedResourceException, +) +from datajunction_server.utils import ( + DatabaseSessionManager, + Version, + execute_with_retry, + get_issue_url, + get_query_service_client, + get_legacy_query_service_client, + get_session, + get_session_manager, + get_settings, + setup_logging, + is_graphql_query, + sync_user_groups, + _create_configured_query_client, +) +from datajunction_server.database.user import PrincipalKind + + +def test_setup_logging() -> None: + """ + Test ``setup_logging``. + """ + setup_logging("debug") + assert logging.root.level == logging.DEBUG + + with pytest.raises(ValueError) as excinfo: + setup_logging("invalid") + assert str(excinfo.value) == "Invalid log level: invalid" + + +@pytest.mark.asyncio +async def test_get_session(mocker: MockerFixture) -> None: + """ + Test ``get_session``. + """ + with patch( + "fastapi.BackgroundTasks", + mocker.MagicMock(autospec=BackgroundTasks), + ) as background_tasks: + background_tasks.side_effect = lambda x, y: None + session = await anext(get_session(request=mocker.MagicMock())) + assert isinstance(session, AsyncSession) + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "method,expected_session_attr", + [ + ("GET", "reader_session"), + ("POST", "writer_session"), + ], +) +async def test_get_session_uses_correct_session(method, expected_session_attr): + """ + Ensure get_session uses reader_session for GET and writer_session for others. + """ + get_session_manager.cache_clear() + mock_session_manager = get_session_manager() + request = MagicMock() + request.method = method + assert mock_session_manager.reader_engine is not None + assert mock_session_manager.writer_engine is not None + assert mock_session_manager.reader_sessionmaker is not None + assert mock_session_manager.writer_sessionmaker is not None + + agen = get_session(request) + session = await anext(agen) + if expected_session_attr == "reader_session": + assert ( + str(session.bind.url) + == "postgresql+psycopg://readonly_user:***@postgres_metadata:5432/dj" + ) + else: + assert ( + str(session.bind.url) + == "postgresql+psycopg://dj:***@postgres_metadata:5432/dj" + ) + await agen.aclose() + + +def test_get_settings(mocker: MockerFixture) -> None: + """ + Test ``get_settings``. + """ + mocker.patch("datajunction_server.utils.load_dotenv") + Settings = mocker.patch( + "datajunction_server.utils.Settings", + ) + + # should be already cached, since it's called by the Celery app + get_settings() + Settings.assert_not_called() + + +def test_get_issue_url() -> None: + """ + Test ``get_issue_url``. + """ + assert get_issue_url() == URL( + "https://github.com/DataJunction/dj/issues/new", + ) + assert get_issue_url( + baseurl=URL("https://example.org/"), + title="Title with spaces", + body="This is the body", + labels=["help", "troubleshoot"], + ) == URL( + "https://example.org/?title=Title+with+spaces&" + "body=This+is+the+body&labels=help,troubleshoot", + ) + + +def test_database_session_manager( + mocker: MockerFixture, + settings: Settings, + postgres_container: PostgresContainer, +) -> None: + """ + Test DatabaseSessionManager. + """ + connection_url = postgres_container.get_connection_url() + settings.writer_db = DatabaseConfig(uri=connection_url) + mocker.patch("datajunction_server.utils.get_settings", return_value=settings) + + session_manager = DatabaseSessionManager() + with pytest.raises(DJUninitializedResourceException): + session_manager.reader_engine + with pytest.raises(DJUninitializedResourceException): + session_manager.writer_engine + with pytest.raises(DJUninitializedResourceException): + session_manager.reader_sessionmaker + with pytest.raises(DJUninitializedResourceException): + session_manager.writer_sessionmaker + + session_manager.init_db() + + writer_engine = session_manager.writer_engine + writer_engine.pool.size() == settings.writer_db.pool_size # type: ignore + writer_engine.pool.timeout() == settings.writer_db.pool_timeout # type: ignore + writer_engine.pool.overflow() == settings.writer_db.max_overflow # type: ignore + + reader_engine = session_manager.reader_engine + reader_engine.pool.size() == settings.reader_db.pool_size # type: ignore + reader_engine.pool.timeout() == settings.reader_db.pool_timeout # type: ignore + reader_engine.pool.overflow() == settings.reader_db.max_overflow # type: ignore + + assert session_manager.reader_engine != session_manager.writer_engine + assert isinstance(session_manager.reader_sessionmaker, async_sessionmaker) + assert isinstance(session_manager.writer_sessionmaker, async_sessionmaker) + assert session_manager.sessionmaker == session_manager.writer_sessionmaker + + +def test_get_query_service_client(mocker: MockerFixture, settings: Settings) -> None: + """ + Test ``get_query_service_client``. + """ + settings.query_service = "http://query_service:8001" + query_service_client = get_query_service_client(settings=settings) + assert query_service_client.uri == "http://query_service:8001" # type: ignore + + +def test_version_parse() -> None: + """ + Test version parsing + """ + ver = Version.parse("v1.0") + assert ver.major == 1 + assert ver.minor == 0 + assert str(ver.next_major_version()) == "v2.0" + assert str(ver.next_minor_version()) == "v1.1" + assert str(ver.next_minor_version().next_minor_version()) == "v1.2" + + ver = Version.parse("v21.12") + assert ver.major == 21 + assert ver.minor == 12 + assert str(ver.next_major_version()) == "v22.0" + assert str(ver.next_minor_version()) == "v21.13" + assert str(ver.next_minor_version().next_minor_version()) == "v21.14" + assert str(ver.next_major_version().next_minor_version()) == "v22.1" + + with pytest.raises(DJException) as excinfo: + Version.parse("0") + assert str(excinfo.value) == "Unparseable version 0!" + + +@pytest.mark.asyncio +async def test_execute_with_retry_success_after_flaky_connection(): + """ + Test that execute_with_retry succeeds after a flaky connection. + """ + session = AsyncMock(spec=AsyncSession) + statement = MagicMock() + + # Simulate flaky DB: first 2 calls raise OperationalError, 3rd returns success + mock_result = MagicMock() + mock_result.unique.return_value.scalars.return_value.all.return_value = [ + "node1", + "node2", + ] + session.execute.side_effect = [ + OperationalError("flaky", None, None), # type: ignore + OperationalError("still flaky", None, None), # type: ignore + mock_result, + ] + + result = await execute_with_retry(session, statement, retries=5, base_delay=0.01) + values = result.unique().scalars().all() + assert values == ["node1", "node2"] + assert session.execute.call_count == 3 + + +@pytest.mark.asyncio +async def test_execute_with_retry_exhausts_retries(): + """ + Test that execute_with_retry exhausts retries and fails. + """ + session = AsyncMock(spec=AsyncSession) + statement = MagicMock() + + # Always fail + session.execute.side_effect = OperationalError("permanent fail", None, None) # type: ignore + + with pytest.raises(DJDatabaseException): + await execute_with_retry(session, statement, retries=3, base_delay=0.01) + + assert session.execute.call_count == 4 # initial try + 3 retries + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "path, body, expected", + [ + # Not /graphql + ("/not-graphql", json.dumps({"query": "query { users }"}), False), + # /graphql with query + ("/graphql", json.dumps({"query": "query { users }"}), True), + # /graphql with mutation + ( + "/graphql", + json.dumps({"query": 'mutation { addUser(name: "Hi") { id } }'}), + False, + ), + # /graphql with invalid JSON + ("/graphql", "not json", False), + # /graphql with no query key + ("/graphql", json.dumps({"foo": "bar"}), False), + # /graphql with empty body + ("/graphql", "", False), + ], +) +async def test_is_graphql_query(path, body, expected): + """ + Test the `is_graphql_query` utility function. + This function checks if the request is a GraphQL query based on the path and body. + """ + # Build a fake ASGI scope + scope: Scope = { + "type": "http", + "method": "POST", + "path": path, + "headers": Headers({"content-type": "application/json"}).raw, + } + + # Create a receive function that yields the body + async def receive() -> dict: + return { + "type": "http.request", + "body": body.encode(), + "more_body": False, + } + + request = Request(scope, receive) + result = await is_graphql_query(request) + assert result is expected + + +def test_get_query_service_client_with_configured_client( + mocker: MockerFixture, + settings: Settings, +) -> None: + """ + Test get_query_service_client with configured client (non-HTTP). + """ + from datajunction_server.config import QueryClientConfig + + # Configure Snowflake client + settings.query_client = QueryClientConfig( + type="snowflake", + connection={"account": "test_account", "user": "test_user"}, + ) + settings.query_service = None + + # Mock the SnowflakeClient import to avoid dependency issues + mock_snowflake_client = mocker.MagicMock() + mocker.patch( + "datajunction_server.query_clients.SnowflakeClient", + mock_snowflake_client, + ) + + client = get_query_service_client(settings=settings) + assert client is not None + mock_snowflake_client.assert_called_once_with( + account="test_account", + user="test_user", + ) + + +def test_get_query_service_client_returns_none( + mocker: MockerFixture, + settings: Settings, +) -> None: + """ + Test get_query_service_client returns None when no configuration is provided. + """ + settings.query_service = None + from datajunction_server.config import QueryClientConfig + + settings.query_client = QueryClientConfig(type="http", connection={}) + + client = get_query_service_client(settings=settings) + assert client is None + + +def test_create_configured_query_client_http_success(mocker: MockerFixture) -> None: + """ + Test _create_configured_query_client creates HTTP client successfully. + """ + from datajunction_server.config import QueryClientConfig + from datajunction_server.query_clients import HttpQueryServiceClient + + config = QueryClientConfig(type="http", connection={"uri": "http://test:8001"}) + + client = _create_configured_query_client(config) + assert isinstance(client, HttpQueryServiceClient) + assert client.uri == "http://test:8001" + + +def test_create_configured_query_client_http_missing_uri(mocker: MockerFixture) -> None: + """ + Test _create_configured_query_client raises error for HTTP client without URI. + """ + from datajunction_server.config import QueryClientConfig + + config = QueryClientConfig(type="http", connection={}) + + with pytest.raises(ValueError) as exc_info: + _create_configured_query_client(config) + assert "HTTP client requires 'uri' in connection parameters" in str(exc_info.value) + + +def test_create_configured_query_client_snowflake_missing_params( + mocker: MockerFixture, +) -> None: + """ + Test _create_configured_query_client raises error for Snowflake client without required params. + """ + from datajunction_server.config import QueryClientConfig + + # Missing 'user' parameter + config = QueryClientConfig(type="snowflake", connection={"account": "test_account"}) + + with pytest.raises(ValueError) as exc_info: + _create_configured_query_client(config) + assert "Snowflake client requires 'user' in connection parameters" in str( + exc_info.value, + ) + + # Missing 'account' parameter + config = QueryClientConfig(type="snowflake", connection={"user": "test_user"}) + + with pytest.raises(ValueError) as exc_info: + _create_configured_query_client(config) + assert "Snowflake client requires 'account' in connection parameters" in str( + exc_info.value, + ) + + +def test_create_configured_query_client_snowflake_import_error( + mocker: MockerFixture, +) -> None: + """ + Test _create_configured_query_client handles ImportError for Snowflake client. + """ + from datajunction_server.config import QueryClientConfig + + config = QueryClientConfig( + type="snowflake", + connection={"account": "test_account", "user": "test_user"}, + ) + + # Mock the import to fail + mocker.patch( + "datajunction_server.query_clients.SnowflakeClient", + side_effect=ImportError("No module named 'snowflake'"), + ) + + with pytest.raises(ValueError) as exc_info: + _create_configured_query_client(config) + assert "Snowflake client dependencies not installed" in str(exc_info.value) + assert "pip install 'datajunction-server[snowflake]'" in str(exc_info.value) + + +def test_create_configured_query_client_unsupported_type(mocker: MockerFixture) -> None: + """ + Test _create_configured_query_client raises error for unsupported client type. + """ + from datajunction_server.config import QueryClientConfig + + config = QueryClientConfig(type="unsupported", connection={}) + + with pytest.raises(ValueError) as exc_info: + _create_configured_query_client(config) + assert "Unsupported query client type: unsupported" in str(exc_info.value) + + +def test_get_legacy_query_service_client( + mocker: MockerFixture, + settings: Settings, +) -> None: + """ + Test get_legacy_query_service_client returns QueryServiceClient. + """ + settings.query_service = "http://query_service:8001" + + mock_query_service_client_cls = mocker.MagicMock() + mock_query_service_client_instance = mocker.MagicMock() + mock_query_service_client_cls.return_value = mock_query_service_client_instance + mocker.patch( + "datajunction_server.service_clients.QueryServiceClient", + mock_query_service_client_cls, + ) + + client = get_legacy_query_service_client(settings=settings) + mock_query_service_client_cls.assert_called_once_with("http://query_service:8001") + assert client == mock_query_service_client_instance + + +def test_http_query_service_client_wrapper(mocker: MockerFixture) -> None: + """ + Test HttpQueryServiceClient properly wraps QueryServiceClient. + """ + from datajunction_server.query_clients import HttpQueryServiceClient + from datajunction_server.models.query import QueryCreate + from datajunction_server.models.node_type import NodeType + + # Mock the underlying QueryServiceClient + mock_client = mocker.MagicMock() + mocker.patch( + "datajunction_server.query_clients.http.QueryServiceClient", + return_value=mock_client, + ) + + # Create HTTP client + client = HttpQueryServiceClient("http://test:8001", retries=3) + assert client.uri == "http://test:8001" + + # Test get_columns_for_table + mock_client.get_columns_for_table.return_value = [] + get_columns_for_table_result = client.get_columns_for_table("cat", "sch", "tbl") + assert get_columns_for_table_result == [] + mock_client.get_columns_for_table.assert_called_once() + + # Test create_view + mock_client.create_view.return_value = "view_created" + query = QueryCreate( + submitted_query="SELECT 1", + catalog_name="test", + engine_name="test", + engine_version="v1", + ) + create_view_result = client.create_view("test_view", query) + assert create_view_result == "view_created" + + # Test submit_query + mock_result = mocker.MagicMock() + mock_client.submit_query.return_value = mock_result + submit_query_result = client.submit_query(query) + assert submit_query_result == mock_result + + # Test get_query + mock_client.get_query.return_value = mock_result + get_query_result = client.get_query("query_id_123") + assert get_query_result == mock_result + + # Test materialize + mock_mat_result = mocker.MagicMock() + mock_client.materialize.return_value = mock_mat_result + materialize_result = client.materialize(mocker.MagicMock()) + assert materialize_result == mock_mat_result + + # Test materialize_cube + mock_client.materialize_cube.return_value = mock_mat_result + materialize_cube_result = client.materialize_cube(mocker.MagicMock()) + assert materialize_cube_result == mock_mat_result + + # Test deactivate_materialization + mock_client.deactivate_materialization.return_value = mock_mat_result + deactivate_materialization_result = client.deactivate_materialization("node", "mat") + assert deactivate_materialization_result == mock_mat_result + + # Test get_materialization_info + mock_client.get_materialization_info.return_value = mock_mat_result + get_materialization_info_result = client.get_materialization_info( + "node", + "v1", + NodeType.SOURCE, + "mat", + ) + assert get_materialization_info_result == mock_mat_result + + # Test run_backfill + mock_client.run_backfill.return_value = mock_mat_result + run_backfill_result = client.run_backfill("node", "v1", NodeType.SOURCE, "mat", []) + assert run_backfill_result == mock_mat_result + + # Test materialize_preagg + mock_preagg_result = {"workflow_url": "http://test/workflow", "status": "SCHEDULED"} + mock_client.materialize_preagg.return_value = mock_preagg_result + mock_preagg_input = mocker.MagicMock() + materialize_preagg_result = client.materialize_preagg(mock_preagg_input) + assert materialize_preagg_result == mock_preagg_result + mock_client.materialize_preagg.assert_called_once_with( + materialization_input=mock_preagg_input, + request_headers=None, + ) + + # Test deactivate_preagg_workflow + mock_deactivate_result = {"status": "DEACTIVATED"} + mock_client.deactivate_preagg_workflow.return_value = mock_deactivate_result + deactivate_preagg_result = client.deactivate_preagg_workflow( + output_table="test_preagg_table", + ) + assert deactivate_preagg_result == mock_deactivate_result + mock_client.deactivate_preagg_workflow.assert_called_once_with( + output_table="test_preagg_table", + request_headers=None, + ) + + # Test run_preagg_backfill + mock_backfill_result = {"job_url": "http://test/backfill/123"} + mock_client.run_preagg_backfill.return_value = mock_backfill_result + mock_backfill_input = mocker.MagicMock() + run_preagg_backfill_result = client.run_preagg_backfill(mock_backfill_input) + assert run_preagg_backfill_result == mock_backfill_result + mock_client.run_preagg_backfill.assert_called_once_with( + backfill_input=mock_backfill_input, + request_headers=None, + ) + + +def test_snowflake_client_initialization_with_mock(mocker: MockerFixture) -> None: + """ + Test SnowflakeClient initialization when snowflake package is available. + """ + # Mock snowflake being available + mocker.patch( + "datajunction_server.query_clients.snowflake.SNOWFLAKE_AVAILABLE", + True, + ) + mocker.patch( + "datajunction_server.query_clients.snowflake.SnowflakeDatabaseError", + Exception, + ) + + # Mock the snowflake connector + mock_snowflake = mocker.MagicMock() + mock_conn = mocker.MagicMock() + mock_cursor = mocker.MagicMock() + mock_cursor.fetchall.return_value = [ + { + "COLUMN_NAME": "id", + "DATA_TYPE": "NUMBER", + "IS_NULLABLE": "NO", + "ORDINAL_POSITION": 1, + }, + ] + mock_cursor.fetchone.return_value = (1,) + mock_conn.cursor.return_value.__enter__.return_value = mock_cursor + mock_snowflake.connector.connect.return_value = mock_conn + mock_snowflake.connector.DatabaseError = Exception + + mocker.patch( + "datajunction_server.query_clients.snowflake.snowflake", + mock_snowflake, + ) + + from datajunction_server.query_clients.snowflake import SnowflakeClient + + # Create client with password auth + client = SnowflakeClient( + account="test_account", + user="test_user", + password="test_pass", + warehouse="TEST_WH", + database="TEST_DB", + ) + + assert client.connection_params["account"] == "test_account" + assert client.connection_params["user"] == "test_user" + assert client.connection_params["password"] == "test_pass" + assert client.connection_params["warehouse"] == "TEST_WH" + assert client.connection_params["database"] == "TEST_DB" + + # Test get_columns_for_table + result = client.get_columns_for_table("catalog", "schema", "table") + assert len(result) == 1 + assert result[0].name == "id" + + # Test connection test + assert client.test_connection() is True + + # Test with private key and role + mock_open_func = mocker.mock_open(read_data=b"private_key_data") + mocker.patch("builtins.open", mock_open_func) + + client2 = SnowflakeClient( + account="test_account", + user="test_user", + private_key_path="/path/to/key.pem", + warehouse="TEST_WH", + role="TEST_ROLE", + ) + assert "private_key" in client2.connection_params + assert client2.connection_params["private_key"] == b"private_key_data" + assert client2.connection_params["role"] == "TEST_ROLE" + + # Test _get_database_from_engine with engine URI + mock_engine = mocker.MagicMock() + mock_engine.uri = "snowflake://user:pass@account/DATABASE_FROM_URI?warehouse=WH" + db_name = client._get_database_from_engine(mock_engine, "fallback") + assert db_name == "DATABASE_FROM_URI" + + # Test with database in query params + mock_engine.uri = ( + "snowflake://user:pass@account/?database=DB_FROM_QUERY&warehouse=WH" + ) + db_name = client._get_database_from_engine(mock_engine, "fallback") + assert db_name == "DB_FROM_QUERY" + + # Test with no database in URI (falls back to connection params) + mock_engine.uri = "snowflake://user:pass@account/?warehouse=WH" + db_name = client._get_database_from_engine(mock_engine, "fallback") + assert db_name == "TEST_DB" # From client.connection_params + + # Test with empty path (no database, no query params - falls back) + mock_engine.uri = "snowflake://user:pass@account" + db_name = client._get_database_from_engine(mock_engine, "fallback") + assert db_name == "TEST_DB" # From client.connection_params + + # Test with empty database name in path (just slash, no query) + mock_engine.uri = "snowflake://user:pass@account/" + db_name = client._get_database_from_engine(mock_engine, "fallback") + assert db_name == "TEST_DB" # From client.connection_params + + # Test with path that becomes empty after processing (double slash case) + mock_engine.uri = "snowflake://user:pass@account//" + db_name = client._get_database_from_engine(mock_engine, "fallback") + assert db_name == "TEST_DB" # From client.connection_params + + # Test error handling in get_columns_for_table + from datajunction_server.errors import DJDoesNotExistException + + mock_cursor.fetchall.return_value = [] + with pytest.raises(DJDoesNotExistException): + client.get_columns_for_table("catalog", "schema", "nonexistent") + + # Test connection failure + mock_snowflake.connector.connect.side_effect = Exception("Connection failed") + assert client.test_connection() is False + + # Reset side effect for next tests + mock_snowflake.connector.connect.side_effect = None + mock_snowflake.connector.connect.return_value = mock_conn + + # Test database error handling + from datajunction_server.errors import DJQueryServiceClientException + + mock_cursor.execute.side_effect = mock_snowflake.connector.DatabaseError( + "Table does not exist", + ) + with pytest.raises(DJDoesNotExistException): + client.get_columns_for_table("catalog", "schema", "missing_table") + + # Test other database error + mock_cursor.execute.side_effect = mock_snowflake.connector.DatabaseError( + "Connection timeout", + ) + with pytest.raises(DJQueryServiceClientException): + client.get_columns_for_table("catalog", "schema", "table") + + # Test type mapping with decimal parameters + assert client._map_snowflake_type_to_dj("NUMBER(10,2)") + assert client._map_snowflake_type_to_dj("DECIMAL(20,5)") + assert client._map_snowflake_type_to_dj("NUMERIC(15)") # No scale parameter + assert client._map_snowflake_type_to_dj("NUMBER(invalid)") # Invalid params + + +@pytest.mark.asyncio +async def test_sync_user_groups_no_groups(session: AsyncSession, mocker: MockerFixture): + """ + Test sync_user_groups when user has no groups. + """ + # Mock the group membership service to return no groups + mock_service = mocker.MagicMock() + mock_service.get_user_groups = mocker.AsyncMock(return_value=[]) + mocker.patch( + "datajunction_server.utils.get_group_membership_service", + return_value=mock_service, + ) + + result = await sync_user_groups(session, "testuser") + + assert result == [] + mock_service.get_user_groups.assert_called_once_with(session, "testuser") + + +@pytest.mark.asyncio +async def test_sync_user_groups_creates_new_groups( + session: AsyncSession, + mocker: MockerFixture, +): + """ + Test sync_user_groups creates group principals that don't exist. + """ + # Mock the group membership service to return groups + mock_service = mocker.MagicMock() + mock_service.get_user_groups = mocker.AsyncMock( + return_value=["eng-team", "data-team"], + ) + mocker.patch( + "datajunction_server.utils.get_group_membership_service", + return_value=mock_service, + ) + + result = await sync_user_groups(session, "testuser") + + assert result == ["eng-team", "data-team"] + + # Verify groups were created + eng_group = await User.get_by_username(session, "eng-team", options=[]) + data_group = await User.get_by_username(session, "data-team", options=[]) + + assert eng_group is not None + assert eng_group.kind == PrincipalKind.GROUP + assert eng_group.name == "eng-team" + + assert data_group is not None + assert data_group.kind == PrincipalKind.GROUP + assert data_group.name == "data-team" + + +@pytest.mark.asyncio +async def test_sync_user_groups_skips_existing_groups( + session: AsyncSession, + mocker: MockerFixture, +): + """ + Test sync_user_groups skips groups that already exist. + """ + # Create an existing group + existing_group = User( + username="existing-group", + password=None, + email="existing@group.com", + name="Existing Group", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + kind=PrincipalKind.GROUP, + ) + session.add(existing_group) + await session.commit() + original_id = existing_group.id + + # Mock the group membership service to return the existing group + mock_service = mocker.MagicMock() + mock_service.get_user_groups = mocker.AsyncMock(return_value=["existing-group"]) + mocker.patch( + "datajunction_server.utils.get_group_membership_service", + return_value=mock_service, + ) + + result = await sync_user_groups(session, "testuser") + + assert result == ["existing-group"] + + # Verify the group still exists with same ID (wasn't recreated) + group = cast( + User, + await User.get_by_username( + session, + "existing-group", + options=[], + ), + ) + assert group.id == original_id + assert group.email == "existing@group.com" # Original email preserved + + +@pytest.mark.asyncio +async def test_sync_user_groups_warns_on_non_group_principal( + session: AsyncSession, + mocker: MockerFixture, + caplog, +): + """ + Test sync_user_groups logs warning when a principal exists but is not a group. + """ + # Create an existing user (not a group) with a name that matches a group + existing_user = User( + username="alice", + password=None, + email="alice@example.com", + name="Alice", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + kind=PrincipalKind.USER, + ) + session.add(existing_user) + await session.commit() + + # Mock the group membership service to return "alice" as a group + mock_service = mocker.MagicMock() + mock_service.get_user_groups = mocker.AsyncMock(return_value=["alice"]) + mocker.patch( + "datajunction_server.utils.get_group_membership_service", + return_value=mock_service, + ) + + with caplog.at_level(logging.WARNING): + result = await sync_user_groups(session, "testuser") + + assert result == ["alice"] + assert "Principal alice exists but is not a group (kind=user), skipping" in ( + caplog.text + ) + + +@pytest.mark.asyncio +async def test_sync_user_groups_mixed_existing_and_new( + session: AsyncSession, + mocker: MockerFixture, +): + """ + Test sync_user_groups handles mix of existing and new groups. + """ + # Create one existing group + existing_group = User( + username="existing-team", + password=None, + email=None, + name="Existing Team", + oauth_provider=OAuthProvider.BASIC, + is_admin=False, + kind=PrincipalKind.GROUP, + ) + session.add(existing_group) + await session.commit() + + # Mock the group membership service to return both existing and new groups + mock_service = mocker.MagicMock() + mock_service.get_user_groups = mocker.AsyncMock( + return_value=["existing-team", "new-team"], + ) + mocker.patch( + "datajunction_server.utils.get_group_membership_service", + return_value=mock_service, + ) + + result = await sync_user_groups(session, "testuser") + + assert result == ["existing-team", "new-team"] + + # Verify both groups exist + existing = await User.get_by_username(session, "existing-team", options=[]) + new = await User.get_by_username(session, "new-team", options=[]) + + assert existing is not None + assert existing.kind == PrincipalKind.GROUP + + assert new is not None + assert new.kind == PrincipalKind.GROUP + assert new.name == "new-team" diff --git a/datajunction-ui/.babel-plugin-macrosrc.js b/datajunction-ui/.babel-plugin-macrosrc.js new file mode 100644 index 000000000..7ea38d073 --- /dev/null +++ b/datajunction-ui/.babel-plugin-macrosrc.js @@ -0,0 +1,5 @@ +module.exports = { + styledComponents: { + displayName: process.env.NODE_ENV !== 'production', + }, +}; diff --git a/datajunction-ui/.env b/datajunction-ui/.env new file mode 100644 index 000000000..cb841a92a --- /dev/null +++ b/datajunction-ui/.env @@ -0,0 +1,3 @@ +REACT_APP_DJ_URL=http://localhost:8000 +REACT_USE_SSE=true +REACT_ENABLE_GOOGLE_OAUTH=true \ No newline at end of file diff --git a/datajunction-ui/.eslintrc.js b/datajunction-ui/.eslintrc.js new file mode 100644 index 000000000..4402f5bab --- /dev/null +++ b/datajunction-ui/.eslintrc.js @@ -0,0 +1,20 @@ +const fs = require('fs'); +const path = require('path'); + +const prettierOptions = JSON.parse( + fs.readFileSync(path.resolve(__dirname, '.prettierrc'), 'utf8'), +); + +module.exports = { + extends: ['react-app', 'prettier'], + plugins: ['prettier'], + rules: { + 'prettier/prettier': ['error', prettierOptions], + }, + overrides: [ + { + files: ['**/*.ts?(x)'], + rules: { 'prettier/prettier': ['warn', prettierOptions] }, + }, + ], +}; diff --git a/datajunction-ui/.gitattributes b/datajunction-ui/.gitattributes new file mode 100644 index 000000000..37bdee27c --- /dev/null +++ b/datajunction-ui/.gitattributes @@ -0,0 +1,201 @@ +# From https://github.com/Danimoth/gitattributes/blob/master/Web.gitattributes + +## GITATTRIBUTES FOR WEB PROJECTS +# +# These settings are for any web project. +# +# Details per file setting: +# text These files should be normalized (i.e. convert CRLF to LF). +# binary These files are binary and should be left untouched. +# +# Note that binary is a macro for -text -diff. +###################################################################### + +# Auto detect +## Handle line endings automatically for files detected as +## text and leave all files detected as binary untouched. +## This will handle all files NOT defined below. +* text=auto + +# Source code +*.bash text eol=lf +*.bat text eol=crlf +*.cmd text eol=crlf +*.coffee text +*.css text +*.htm text diff=html +*.html text diff=html +*.inc text +*.ini text +*.js text +*.json text +*.jsx text +*.less text +*.ls text +*.map text -diff +*.od text +*.onlydata text +*.php text diff=php +*.pl text +*.ps1 text eol=crlf +*.py text diff=python +*.rb text diff=ruby +*.sass text +*.scm text +*.scss text diff=css +*.sh text eol=lf +*.sql text +*.styl text +*.tag text +*.ts text +*.tsx text +*.xml text +*.xhtml text diff=html + +# Docker +Dockerfile text + +# Documentation +*.ipynb text +*.markdown text +*.md text +*.mdwn text +*.mdown text +*.mkd text +*.mkdn text +*.mdtxt text +*.mdtext text +*.txt text +AUTHORS text +CHANGELOG text +CHANGES text +CONTRIBUTING text +COPYING text +copyright text +*COPYRIGHT* text +INSTALL text +license text +LICENSE text +NEWS text +readme text +*README* text +TODO text + +# Templates +*.dot text +*.ejs text +*.haml text +*.handlebars text +*.hbs text +*.hbt text +*.jade text +*.latte text +*.mustache text +*.njk text +*.phtml text +*.tmpl text +*.tpl text +*.twig text +*.vue text + +# Configs +*.cnf text +*.conf text +*.config text +.editorconfig text +.env text +.gitattributes text +.gitconfig text +.htaccess text +*.lock text -diff +package-lock.json text -diff +*.toml text +*.yaml text +*.yml text +browserslist text +Makefile text +makefile text + +# Heroku +Procfile text + +# Graphics +*.ai binary +*.bmp binary +*.eps binary +*.gif binary +*.gifv binary +*.ico binary +*.jng binary +*.jp2 binary +*.jpg binary +*.jpeg binary +*.jpx binary +*.jxr binary +*.pdf binary +*.png binary +*.psb binary +*.psd binary +# SVG treated as an asset (binary) by default. +*.svg text +# If you want to treat it as binary, +# use the following line instead. +# *.svg binary +*.svgz binary +*.tif binary +*.tiff binary +*.wbmp binary +*.webp binary + +# Audio +*.kar binary +*.m4a binary +*.mid binary +*.midi binary +*.mp3 binary +*.ogg binary +*.ra binary + +# Video +*.3gpp binary +*.3gp binary +*.as binary +*.asf binary +*.asx binary +*.fla binary +*.flv binary +*.m4v binary +*.mng binary +*.mov binary +*.mp4 binary +*.mpeg binary +*.mpg binary +*.ogv binary +*.swc binary +*.swf binary +*.webm binary + +# Archives +*.7z binary +*.gz binary +*.jar binary +*.rar binary +*.tar binary +*.zip binary + +# Fonts +*.ttf binary +*.eot binary +*.otf binary +*.woff binary +*.woff2 binary + +# Executables +*.exe binary +*.pyc binary + +# RC files (like .babelrc or .eslintrc) +*.*rc text + +# Ignore files (like .npmignore or .gitignore) +*.*ignore text \ No newline at end of file diff --git a/datajunction-ui/.gitignore b/datajunction-ui/.gitignore new file mode 100644 index 000000000..2c287157f --- /dev/null +++ b/datajunction-ui/.gitignore @@ -0,0 +1,35 @@ +# Don't check auto-generated stuff into git +coverage +build +node_modules +dist +stats.json +.pnp +.pnp.js +dist + +# misc +.DS_Store +npm-debug.log* + +# yarn +yarn-debug.log* +yarn-error.log* +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/sdks +!.yarn/versions + +# env +.env.development.local +.env.test.local +.env.production.local + +# boilerplate internals +generated-cra-app +.cra-template-rb +template +.eslintcache diff --git a/datajunction-ui/.husky/pre-commit b/datajunction-ui/.husky/pre-commit new file mode 100755 index 000000000..028978219 --- /dev/null +++ b/datajunction-ui/.husky/pre-commit @@ -0,0 +1,6 @@ +#!/bin/sh +. "$(dirname "$0")/_/husky.sh" + +yarn checkTs +yarn lint-staged + diff --git a/datajunction-ui/.npmrc b/datajunction-ui/.npmrc new file mode 100644 index 000000000..aacab550c --- /dev/null +++ b/datajunction-ui/.npmrc @@ -0,0 +1,3 @@ +auto-install-peers=true +dedupe-peer-dependents=true +save-exact = true diff --git a/datajunction-ui/.nvmrc b/datajunction-ui/.nvmrc new file mode 100644 index 000000000..518633e16 --- /dev/null +++ b/datajunction-ui/.nvmrc @@ -0,0 +1 @@ +lts/fermium diff --git a/datajunction-ui/.prettierignore b/datajunction-ui/.prettierignore new file mode 100644 index 000000000..e88431261 --- /dev/null +++ b/datajunction-ui/.prettierignore @@ -0,0 +1,6 @@ +build/ +node_modules/ +package-lock.json +yarn.lock +dist/ +coverage/ diff --git a/datajunction-ui/.prettierrc b/datajunction-ui/.prettierrc new file mode 100644 index 000000000..b88daf722 --- /dev/null +++ b/datajunction-ui/.prettierrc @@ -0,0 +1,9 @@ +{ + "printWidth": 80, + "tabWidth": 2, + "useTabs": false, + "semi": true, + "singleQuote": true, + "trailingComma": "all", + "arrowParens": "avoid" +} diff --git a/datajunction-ui/.stylelintrc b/datajunction-ui/.stylelintrc new file mode 100644 index 000000000..9e72e47c6 --- /dev/null +++ b/datajunction-ui/.stylelintrc @@ -0,0 +1,7 @@ +{ + "processors": ["stylelint-processor-styled-components"], + "extends": [ + "stylelint-config-recommended", + "stylelint-config-styled-components" + ] +} diff --git a/datajunction-ui/LICENSE b/datajunction-ui/LICENSE new file mode 100644 index 000000000..874d3043d --- /dev/null +++ b/datajunction-ui/LICENSE @@ -0,0 +1,22 @@ +MIT License + +Copyright (c) 2023 DJ + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + diff --git a/datajunction-ui/Makefile b/datajunction-ui/Makefile new file mode 100644 index 000000000..7139e30f5 --- /dev/null +++ b/datajunction-ui/Makefile @@ -0,0 +1,9 @@ +dev-release: + yarn version --prerelease --preid dev --no-git-tag-version + npm publish + +test: + yarn test --coverage --watchAll --runInBand + +lint: + npm run lint \ No newline at end of file diff --git a/datajunction-ui/README.md b/datajunction-ui/README.md new file mode 100644 index 000000000..c6bbd93a0 --- /dev/null +++ b/datajunction-ui/README.md @@ -0,0 +1,10 @@ +# DataJunction UI + +A view-only UI for the DataJunction metrics platform. + +To run: + +```bash +yarn install +yarn start +``` diff --git a/datajunction-ui/dj-logo.svg b/datajunction-ui/dj-logo.svg new file mode 100644 index 000000000..bac4c69e8 --- /dev/null +++ b/datajunction-ui/dj-logo.svg @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/datajunction-ui/internals/testing/loadable.mock.tsx b/datajunction-ui/internals/testing/loadable.mock.tsx new file mode 100644 index 000000000..ed19a3a59 --- /dev/null +++ b/datajunction-ui/internals/testing/loadable.mock.tsx @@ -0,0 +1,6 @@ +import * as React from 'react'; + +export function ExportedFunc() { + return
My lazy-loaded component
; +} +export default ExportedFunc; diff --git a/datajunction-ui/package.json b/datajunction-ui/package.json new file mode 100644 index 000000000..a98c9ea56 --- /dev/null +++ b/datajunction-ui/package.json @@ -0,0 +1,208 @@ +{ + "name": "datajunction-ui", + "version": "0.0.46", + "description": "DataJunction UI", + "module": "src/index.tsx", + "repository": { + "type": "git", + "url": "git+https://github.com/DataJunction/dj.git" + }, + "keywords": [ + "datajunction", + "metrics", + "metrics-platform", + "semantic-layer" + ], + "author": "DataJunction Authors", + "license": "MIT", + "bugs": { + "url": "https://github.com/DataJunction/dj/issues" + }, + "homepage": "https://github.com/DataJunction/dj#readme", + "dependencies": { + "@babel/core": "^7.18.2", + "@babel/preset-env": "^7.18.2", + "@babel/preset-react": "7.18.6", + "@codemirror/lang-sql": "^6.4.0", + "@reduxjs/toolkit": "1.8.5", + "@testing-library/jest-dom": "6.1.2", + "@testing-library/react": "14.0.0", + "@types/fontfaceobserver": "^2.1.0", + "@types/jest": "29.5.14", + "@types/node": "^14.18.27", + "@types/react": "^18.0.20", + "@types/react-dom": "^18.0.6", + "@types/react-redux": "^7.1.24", + "@types/react-select": "5.0.1", + "@types/react-test-renderer": "^18.0.0", + "@types/rimraf": "^3.0.2", + "@types/shelljs": "^0.8.11", + "@types/testing-library__jest-dom": "^5.14.5", + "@types/webpack": "^5.28.0", + "@types/webpack-env": "^1.18.0", + "@uiw/codemirror-extensions-basic-setup": "4.21.12", + "@uiw/codemirror-extensions-langs": "4.21.12", + "@uiw/react-codemirror": "4.21.12", + "babel-loader": "9.1.2", + "chalk": "4.1.2", + "codemirror": "^6.0.0", + "cronstrue": "2.27.0", + "cross-env": "7.0.3", + "css-loader": "6.8.1", + "dagre": "^0.8.5", + "datajunction": "0.0.1-rc.0", + "file-loader": "6.2.0", + "fontfaceobserver": "2.3.0", + "formik": "2.4.3", + "fuse.js": "6.6.2", + "husky": "8.0.1", + "i18next": "21.9.2", + "i18next-browser-languagedetector": "6.1.5", + "i18next-scanner": "4.0.0", + "inquirer": "7.3.3", + "inquirer-directory": "2.2.0", + "js-cookie": "3.0.5", + "lint-staged": "13.0.3", + "node-plop": "0.26.3", + "plop": "2.7.6", + "prettier": "2.7.1", + "react": "18.2.0", + "react-app-polyfill": "3.0.0", + "react-cookie": "4.1.1", + "react-diff-view": "3.2.1", + "react-dom": "18.2.0", + "react-helmet-async": "1.3.0", + "react-i18next": "11.18.6", + "react-is": "18.2.0", + "react-markdown": "9.0.1", + "react-querybuilder": "6.5.1", + "react-redux": "7.2.8", + "react-router-dom": "6.3.0", + "react-scripts": "5.0.1", + "react-select": "5.7.3", + "react-syntax-highlighter": "^15.5.0", + "react-test-renderer": "18.2.0", + "reactflow": "^11.7.0", + "recharts": "3.0.2", + "redux-injectors": "2.1.0", + "redux-saga": "1.2.1", + "rimraf": "3.0.2", + "sanitize.css": "13.0.0", + "sass": "1.66.1", + "sass-loader": "13.3.2", + "serve": "14.0.1", + "shelljs": "0.8.5", + "sql-formatter": "^12.2.0", + "style-loader": "3.3.3", + "stylelint": "14.12.0", + "stylelint-config-recommended": "9.0.0", + "ts-loader": "9.4.2", + "ts-node": "10.9.1", + "typescript": "5.8.3", + "unidiff": "1.0.4", + "web-vitals": "2.1.4", + "webpack": "5.81.0", + "webpack-cli": "5.0.2", + "webpack-dev-server": "4.13.3", + "yup": "1.3.2" + }, + "scripts": { + "webpack-start": "webpack-dev-server --open", + "webpack-build": "webpack", + "start": "react-scripts start", + "build": "react-scripts build", + "test": "react-scripts test", + "eject": "react-scripts eject", + "start:prod": "yarn run build && serve -s build", + "test:generators": "ts-node ./internals/testing/generators/test-generators.ts", + "checkTs": "tsc --noEmit", + "eslint": "eslint --ext js,ts,tsx", + "lint": "yarn run eslint src", + "lint:fix": "yarn run eslint --fix src", + "lint:css": "stylelint src/**/*.css", + "generate": "plop --plopfile internals/generators/plopfile.ts", + "cleanAndSetup": "ts-node ./internals/scripts/clean.ts", + "prettify": "prettier --write", + "extract-messages": "i18next-scanner --config=internals/extractMessages/i18next-scanner.config.js", + "prepublishOnly": "webpack --mode=production" + }, + "eslintConfig": { + "extends": "react-app" + }, + "browserslist": { + "production": [ + ">0.2%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 1 chrome version", + "last 1 firefox version", + "last 1 safari version" + ] + }, + "engines": { + "node": ">=14.x" + }, + "lint-staged": { + "*.{ts,tsx,js,jsx}": [ + "yarn run eslint --fix" + ], + "*.{md,json}": [ + "prettier --write" + ] + }, + "jest": { + "transformIgnorePatterns": [ + "!node_modules/" + ], + "collectCoverageFrom": [ + "src/**/*.{js,jsx,ts,tsx}", + "!src/**/*/*.d.ts", + "!src/**/*/Loadable.{js,jsx,ts,tsx}", + "!src/**/*/messages.ts", + "!src/**/*/types.ts", + "!src/index.tsx" + ], + "coverageThreshold": { + "global": { + "statements": 80, + "branches": 69, + "lines": 80, + "functions": 80 + } + }, + "moduleNameMapper": { + "unist-util-visit-parents/do-not-use-color": "/node_modules/unist-util-visit-parents/lib/color.js", + "^#minpath$": "/node_modules/vfile/lib/minpath.browser.js", + "^#minproc$": "/node_modules/vfile/lib/minproc.browser.js", + "^#minurl$": "/node_modules/vfile/lib/minurl.browser.js" + } + }, + "resolutions": { + "@lezer/common": "^1.2.0", + "test-exclude": "^7.0.1", + "string-width": "^4.2.3", + "string-width-cjs": "npm:string-width@^4.2.3", + "strip-ansi": "^6.0.1", + "strip-ansi-cjs": "npm:strip-ansi@^6.0.1", + "wrap-ansi": "^7.0.0", + "wrap-ansi-cjs": "npm:wrap-ansi@^7.0.0" + }, + "devDependencies": { + "@babel/plugin-proposal-class-properties": "7.18.6", + "@babel/plugin-proposal-private-property-in-object": "7.21.11", + "@testing-library/user-event": "14.4.3", + "@types/glob": "^8.1.0", + "@types/minimatch": "^5.1.2", + "eslint-config-prettier": "8.8.0", + "eslint-plugin-prettier": "4.2.1", + "eslint-plugin-react-hooks": "4.6.0", + "html-webpack-plugin": "5.5.1", + "jest": "^29.5.0", + "jest-fetch-mock": "3.0.3", + "jest-watch-typeahead": "2.2.2", + "mini-css-extract-plugin": "2.7.6", + "resize-observer-polyfill": "1.5.1" + } +} diff --git a/datajunction-ui/public/favicon.ico b/datajunction-ui/public/favicon.ico new file mode 100644 index 000000000..0707abe6f Binary files /dev/null and b/datajunction-ui/public/favicon.ico differ diff --git a/datajunction-ui/public/index.html b/datajunction-ui/public/index.html new file mode 100644 index 000000000..e52562a37 --- /dev/null +++ b/datajunction-ui/public/index.html @@ -0,0 +1,26 @@ + + + + + + + + + + + + + DataJunction App + + + + +
+ + + + + diff --git a/datajunction-ui/public/manifest.json b/datajunction-ui/public/manifest.json new file mode 100644 index 000000000..167002495 --- /dev/null +++ b/datajunction-ui/public/manifest.json @@ -0,0 +1,15 @@ +{ + "short_name": "DataJunction UI", + "name": "DataJunction UI", + "icons": [ + { + "src": "favicon.ico", + "sizes": "64x64 32x32 24x24 16x16", + "type": "image/x-icon" + } + ], + "start_url": ".", + "display": "standalone", + "theme_color": "#000000", + "background_color": "#ffffff" +} diff --git a/datajunction-ui/public/robots.txt b/datajunction-ui/public/robots.txt new file mode 100644 index 000000000..e9e57dc4d --- /dev/null +++ b/datajunction-ui/public/robots.txt @@ -0,0 +1,3 @@ +# https://www.robotstxt.org/robotstxt.html +User-agent: * +Disallow: diff --git a/datajunction-ui/src/__tests__/reportWebVitals.test.jsx b/datajunction-ui/src/__tests__/reportWebVitals.test.jsx new file mode 100644 index 000000000..650061192 --- /dev/null +++ b/datajunction-ui/src/__tests__/reportWebVitals.test.jsx @@ -0,0 +1,44 @@ +import reportWebVitals from '../reportWebVitals'; + +// Mocking the web-vitals module +jest.mock('web-vitals', () => ({ + getCLS: jest.fn(), + getFID: jest.fn(), + getFCP: jest.fn(), + getLCP: jest.fn(), + getTTFB: jest.fn(), +})); + +describe('reportWebVitals', () => { + // Mock web-vitals functions + const mockGetCLS = jest.fn(); + const mockGetFID = jest.fn(); + const mockGetFCP = jest.fn(); + const mockGetLCP = jest.fn(); + const mockGetTTFB = jest.fn(); + + beforeAll(() => { + jest.doMock('web-vitals', () => ({ + getCLS: mockGetCLS, + getFID: mockGetFID, + getFCP: mockGetFCP, + getLCP: mockGetLCP, + getTTFB: mockGetTTFB, + })); + }); + + beforeEach(() => { + jest.clearAllMocks(); + }); + + it('does not call the web vitals functions if onPerfEntry is not a function', async () => { + await reportWebVitals(undefined); + + const { getCLS, getFID, getFCP, getLCP, getTTFB } = require('web-vitals'); + expect(getCLS).not.toHaveBeenCalled(); + expect(getFID).not.toHaveBeenCalled(); + expect(getFCP).not.toHaveBeenCalled(); + expect(getLCP).not.toHaveBeenCalled(); + expect(getTTFB).not.toHaveBeenCalled(); + }); +}); diff --git a/datajunction-ui/src/__tests__/reportWebVitals.test.ts b/datajunction-ui/src/__tests__/reportWebVitals.test.ts new file mode 100644 index 000000000..9d3a194e7 --- /dev/null +++ b/datajunction-ui/src/__tests__/reportWebVitals.test.ts @@ -0,0 +1,27 @@ +import reportWebVitals from '../reportWebVitals'; + +describe('reportWebVitals', () => { + it('calls web vitals functions when handler is provided', async () => { + const mockHandler = jest.fn(); + + // Call reportWebVitals with a handler + reportWebVitals(mockHandler); + + // Wait for dynamic import to resolve + await new Promise(resolve => setTimeout(resolve, 100)); + + // The handler should have been called by web vitals + // (we just verify it doesn't throw) + expect(mockHandler).toBeDefined(); + }); + + it('does nothing when no handler is provided', () => { + // Should not throw + expect(() => reportWebVitals()).not.toThrow(); + }); + + it('does nothing when handler is not a function', () => { + // Should not throw + expect(() => reportWebVitals(undefined)).not.toThrow(); + }); +}); diff --git a/datajunction-ui/src/app/__tests__/__snapshots__/index.test.tsx.snap b/datajunction-ui/src/app/__tests__/__snapshots__/index.test.tsx.snap new file mode 100644 index 000000000..26612b60c --- /dev/null +++ b/datajunction-ui/src/app/__tests__/__snapshots__/index.test.tsx.snap @@ -0,0 +1,9 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[` should render and match the snapshot 1`] = ` + + + + + +`; diff --git a/datajunction-ui/src/app/__tests__/index.test.tsx b/datajunction-ui/src/app/__tests__/index.test.tsx new file mode 100644 index 000000000..7d3cd5b48 --- /dev/null +++ b/datajunction-ui/src/app/__tests__/index.test.tsx @@ -0,0 +1,14 @@ +import * as React from 'react'; +import { createRenderer } from 'react-test-renderer/shallow'; + +import { App } from '../index'; + +const renderer = createRenderer(); + +describe('', () => { + it('should render and match the snapshot', () => { + renderer.render(); + const renderedOutput = renderer.getRenderOutput(); + expect(renderedOutput).toMatchSnapshot(); + }); +}); diff --git a/datajunction-ui/src/app/components/AddNodeDropdown.jsx b/datajunction-ui/src/app/components/AddNodeDropdown.jsx new file mode 100644 index 000000000..274c7468b --- /dev/null +++ b/datajunction-ui/src/app/components/AddNodeDropdown.jsx @@ -0,0 +1,44 @@ +export default function AddNodeDropdown({ namespace }) { + return ( + + + + + + ); +} diff --git a/datajunction-ui/src/app/components/ListGroupItem.jsx b/datajunction-ui/src/app/components/ListGroupItem.jsx new file mode 100644 index 000000000..677392e09 --- /dev/null +++ b/datajunction-ui/src/app/components/ListGroupItem.jsx @@ -0,0 +1,25 @@ +import { Component } from 'react'; +import Markdown from 'react-markdown'; + +export default class ListGroupItem extends Component { + render() { + const { label, value } = this.props; + return ( +
+
+
+
{label}
+
+ {value} +
+
+
+
+ ); + } +} diff --git a/datajunction-ui/src/app/components/NamespaceHeader.jsx b/datajunction-ui/src/app/components/NamespaceHeader.jsx new file mode 100644 index 000000000..b993f3313 --- /dev/null +++ b/datajunction-ui/src/app/components/NamespaceHeader.jsx @@ -0,0 +1,448 @@ +import { useContext, useEffect, useState, useRef } from 'react'; +import DJClientContext from '../providers/djclient'; + +export default function NamespaceHeader({ namespace, children }) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const [sources, setSources] = useState(null); + const [recentDeployments, setRecentDeployments] = useState([]); + const [deploymentsDropdownOpen, setDeploymentsDropdownOpen] = useState(false); + const dropdownRef = useRef(null); + + useEffect(() => { + const fetchSources = async () => { + if (namespace) { + try { + const data = await djClient.namespaceSources(namespace); + setSources(data); + + // Fetch recent deployments for this namespace + try { + const deployments = await djClient.listDeployments(namespace, 5); + setRecentDeployments(deployments || []); + } catch (err) { + console.error('Failed to fetch deployments:', err); + setRecentDeployments([]); + } + } catch (e) { + // Silently fail - badge just won't show + } + } + }; + fetchSources(); + }, [djClient, namespace]); + + // Close dropdown when clicking outside + useEffect(() => { + const handleClickOutside = event => { + if (dropdownRef.current && !dropdownRef.current.contains(event.target)) { + setDeploymentsDropdownOpen(false); + } + }; + document.addEventListener('mousedown', handleClickOutside); + return () => document.removeEventListener('mousedown', handleClickOutside); + }, []); + + const namespaceParts = namespace ? namespace.split('.') : []; + + return ( +
+
+ + + + + + + + + {namespace ? ( + namespaceParts.map((part, index, arr) => ( + + + {part} + + {index < arr.length - 1 && ( + + + + )} + + )) + ) : ( + + All Namespaces + + )} + + {/* Deployment badge + dropdown */} + {sources && sources.total_deployments > 0 && ( +
+ + + {deploymentsDropdownOpen && ( +
+ {sources.primary_source?.type === 'git' ? ( + + + + + + + + {sources.primary_source.repository} + {sources.primary_source.branch && + ` (${sources.primary_source.branch})`} + + ) : ( +
+ + + + + {recentDeployments?.[0]?.created_by + ? `Local deploys by ${recentDeployments[0].created_by}` + : 'Local/adhoc deployments'} +
+ )} + + {/* Separator */} +
+ + {/* Recent deployments list */} + {recentDeployments?.length > 0 ? ( + recentDeployments.map((d, idx) => { + const isGit = d.source?.type === 'git'; + const statusColor = + d.status === 'success' + ? '#22c55e' + : d.status === 'failed' + ? '#ef4444' + : '#94a3b8'; + + const commitUrl = + isGit && d.source?.repository && d.source?.commit_sha + ? `${ + d.source.repository.startsWith('http') + ? d.source.repository + : `https://${d.source.repository}` + }/commit/${d.source.commit_sha}` + : null; + + const detail = isGit + ? d.source?.branch || 'main' + : d.source?.reason || d.source?.hostname || 'adhoc'; + + const shortSha = d.source?.commit_sha?.slice(0, 7); + + return ( +
+ {/* Status dot */} +
+ + {/* User + detail */} +
+ + {d.created_by || 'unknown'} + + — + {isGit ? ( + <> + + {detail} + + {shortSha && ( + <> + @ + {commitUrl ? ( + + {shortSha} + + ) : ( + + {shortSha} + + )} + + )} + + ) : ( + + {detail} + + )} +
+ + {/* Timestamp */} + + {new Date(d.created_at).toLocaleDateString()} + +
+ ); + }) + ) : ( +
+ No recent deployments +
+ )} +
+ )} +
+ )} +
+ + {/* Right side actions passed as children */} + {children && ( +
+ {children} +
+ )} +
+ ); +} diff --git a/datajunction-ui/src/app/components/NodeListActions.jsx b/datajunction-ui/src/app/components/NodeListActions.jsx new file mode 100644 index 000000000..4e2dbf25b --- /dev/null +++ b/datajunction-ui/src/app/components/NodeListActions.jsx @@ -0,0 +1,69 @@ +import DJClientContext from '../providers/djclient'; +import * as React from 'react'; +import DeleteIcon from '../icons/DeleteIcon'; +import EditIcon from '../icons/EditIcon'; +import { Form, Formik } from 'formik'; +import { useContext } from 'react'; +import { displayMessageAfterSubmit } from '../../utils/form'; + +export default function NodeListActions({ nodeName }) { + const [editButton, setEditButton] = React.useState(); + const [deleteButton, setDeleteButton] = React.useState(); + + const djClient = useContext(DJClientContext).DataJunctionAPI; + const deleteNode = async (values, { setStatus }) => { + if ( + !window.confirm('Deleting node ' + values.nodeName + '. Are you sure?') + ) { + return; + } + const { status, json } = await djClient.deactivate(values.nodeName); + if (status === 200 || status === 201 || status === 204) { + setStatus({ + success: <>Successfully deleted node {values.nodeName}, + }); + setEditButton(''); // hide the Edit button + setDeleteButton(''); // hide the Delete button + } else { + setStatus({ + failure: `${json.message}`, + }); + } + }; + + const initialValues = { + nodeName: nodeName, + }; + + return ( +
+ + {editButton} + + + {function Render({ status, setFieldValue }) { + return ( +
+ {displayMessageAfterSubmit(status)} + { + <> + + + } + + ); + }} + +
+ ); +} diff --git a/datajunction-ui/src/app/components/NodeMaterializationDelete.jsx b/datajunction-ui/src/app/components/NodeMaterializationDelete.jsx new file mode 100644 index 000000000..0a197b81c --- /dev/null +++ b/datajunction-ui/src/app/components/NodeMaterializationDelete.jsx @@ -0,0 +1,90 @@ +import DJClientContext from '../providers/djclient'; +import * as React from 'react'; +import DeleteIcon from '../icons/DeleteIcon'; +import { Form, Formik } from 'formik'; +import { useContext } from 'react'; +import { displayMessageAfterSubmit } from '../../utils/form'; + +export default function NodeMaterializationDelete({ + nodeName, + materializationName, + nodeVersion = null, +}) { + const [deleteButton, setDeleteButton] = React.useState(); + + const djClient = useContext(DJClientContext).DataJunctionAPI; + const deleteNode = async (values, { setStatus }) => { + if ( + !window.confirm( + 'Deleting materialization job ' + + values.materializationName + + ' for node version ' + + values.nodeVersion + + '. Are you sure?', + ) + ) { + return; + } + const { status, json } = await djClient.deleteMaterialization( + values.nodeName, + values.materializationName, + values.nodeVersion, + ); + if (status === 200 || status === 201 || status === 204) { + window.location.reload(); + setStatus({ + success: ( + <> + Successfully deleted materialization job:{' '} + {values.materializationName} + + ), + }); + setDeleteButton(''); // hide the Delete button + } else { + setStatus({ + failure: `${json.message}`, + }); + } + }; + + const initialValues = { + nodeName: nodeName, + materializationName: materializationName, + nodeVersion: nodeVersion, + }; + + return ( +
+ + {function Render({ status, setFieldValue }) { + return ( +
+ {displayMessageAfterSubmit(status)} + { + <> + + + } + + ); + }} + +
+ ); +} diff --git a/datajunction-ui/src/app/components/NotificationBell.tsx b/datajunction-ui/src/app/components/NotificationBell.tsx new file mode 100644 index 000000000..a265ff44a --- /dev/null +++ b/datajunction-ui/src/app/components/NotificationBell.tsx @@ -0,0 +1,229 @@ +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../providers/djclient'; +import { useCurrentUser } from '../providers/UserProvider'; +import NotificationIcon from '../icons/NotificationIcon'; +import SettingsIcon from '../icons/SettingsIcon'; +import LoadingIcon from '../icons/LoadingIcon'; +import { formatRelativeTime } from '../utils/date'; + +interface HistoryEntry { + id: number; + entity_type: string; + entity_name: string; + node: string; + activity_type: string; + user: string; + created_at: string; + details?: { + version?: string; + [key: string]: any; + }; +} + +interface EnrichedHistoryEntry extends HistoryEntry { + node_type?: string; + display_name?: string; +} + +interface NodeInfo { + name: string; + type: string; + current?: { + displayName?: string; + }; +} + +// Calculate unread count based on last_viewed_notifications_at +const calculateUnreadCount = ( + notifs: HistoryEntry[], + lastViewed: string | null | undefined, +): number => { + if (!lastViewed) return notifs.length; + const lastViewedDate = new Date(lastViewed); + return notifs.filter(n => new Date(n.created_at) > lastViewedDate).length; +}; + +// Enrich history entries with node info from GraphQL +const enrichWithNodeInfo = ( + entries: HistoryEntry[], + nodes: NodeInfo[], +): EnrichedHistoryEntry[] => { + const nodeMap = new Map(nodes.map(n => [n.name, n])); + return entries.map(entry => { + const node = nodeMap.get(entry.entity_name); + return { + ...entry, + node_type: node?.type, + display_name: node?.current?.displayName, + }; + }); +}; + +interface NotificationBellProps { + onDropdownToggle?: (isOpen: boolean) => void; + forceClose?: boolean; +} + +export default function NotificationBell({ + onDropdownToggle, + forceClose, +}: NotificationBellProps) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const { currentUser, loading: userLoading } = useCurrentUser(); + const [showDropdown, setShowDropdown] = useState(false); + + // Close when forceClose becomes true + useEffect(() => { + if (forceClose && showDropdown) { + setShowDropdown(false); + } + }, [forceClose, showDropdown]); + const [notifications, setNotifications] = useState( + [], + ); + const [loading, setLoading] = useState(false); + const [unreadCount, setUnreadCount] = useState(0); + + // Fetch notifications when user data is available + useEffect(() => { + if (userLoading) return; + + async function fetchNotifications() { + setLoading(true); + try { + const history: HistoryEntry[] = + (await djClient.getSubscribedHistory(5)) || []; + + // Get unique entity names and fetch their info via GraphQL + // (some may not be nodes, but GraphQL will just not return them) + const nodeNames = Array.from(new Set(history.map(h => h.entity_name))); + const nodes: NodeInfo[] = nodeNames.length + ? await djClient.getNodesByNames(nodeNames) + : []; + + const enriched = enrichWithNodeInfo(history, nodes); + setNotifications(enriched); + setUnreadCount( + calculateUnreadCount( + history, + currentUser?.last_viewed_notifications_at, + ), + ); + } catch (error) { + console.error('Error fetching notifications:', error); + } finally { + setLoading(false); + } + } + fetchNotifications(); + }, [djClient, currentUser, userLoading]); + + // Close dropdown when clicking outside + useEffect(() => { + const handleClickOutside = (event: MouseEvent) => { + const target = event.target as HTMLElement; + if (!target.closest('.notification-bell-dropdown')) { + setShowDropdown(false); + onDropdownToggle?.(false); + } + }; + document.addEventListener('click', handleClickOutside); + return () => document.removeEventListener('click', handleClickOutside); + }, [onDropdownToggle]); + + const handleToggle = (e: React.MouseEvent) => { + e.stopPropagation(); + const willOpen = !showDropdown; + + // Mark as read when opening + if (willOpen && unreadCount > 0) { + djClient.markNotificationsRead(); + setUnreadCount(0); + } + + setShowDropdown(willOpen); + onDropdownToggle?.(willOpen); + }; + + return ( +
+ + {showDropdown && ( +
+
+ + Updates + + + + +
+
+ {loading ? ( +
+ +
+ ) : notifications.length === 0 ? ( +
+ No updates on watched nodes +
+ ) : ( + notifications.slice(0, 5).map(entry => { + const version = entry.details?.version; + const href = version + ? `/nodes/${entry.entity_name}/revisions/${version}` + : `/nodes/${entry.entity_name}/history`; + return ( + + + + {entry.display_name || entry.entity_name} + {version && ( + {version} + )} + + {entry.display_name && ( + + {entry.entity_name} + + )} + + + {entry.node_type && ( + + {entry.node_type.toUpperCase()} + + )} + {entry.activity_type}d by{' '} + {entry.user} ·{' '} + {formatRelativeTime(entry.created_at)} + + + ); + }) + )} +
+ {notifications.length > 0 && ( + <> +
+ + View all + + + )} +
+ )} +
+ ); +} diff --git a/datajunction-ui/src/app/components/QueryInfo.jsx b/datajunction-ui/src/app/components/QueryInfo.jsx new file mode 100644 index 000000000..88512f3c2 --- /dev/null +++ b/datajunction-ui/src/app/components/QueryInfo.jsx @@ -0,0 +1,173 @@ +import { Light as SyntaxHighlighter } from 'react-syntax-highlighter'; +import { solarizedDark } from 'react-syntax-highlighter/src/styles/hljs'; +import React from 'react'; + +export default function QueryInfo({ + id, + state, + engine_name, + engine_version, + errors, + links, + output_table, + scheduled, + started, + finished, + numRows, + isList = false, +}) { + return isList === false ? ( +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + +
Query IDEngineStateScheduledStartedErrorsLinksOutput TableNumber of Rows
+ {id} + + + {engine_name} + {' - '} + {engine_version} + + {state}{scheduled}{started} + {errors?.length ? ( + errors.map((e, idx) => ( +

+ + {e} + +

+ )) + ) : ( + <> + )} + 		+ {links?.length ? ( + links.map((link, idx) => ( +

+ + {link} + +

+ )) + ) : ( + <> + )} + 		{output_table}{numRows}
+ + ) : ( +
+
    +
  • + {' '} + + {links?.length ? ( + + {id} + + ) : ( + id + )} + +
    • +
  • + + {state} +
    • +
  • + {' '} + + {engine_name} + {' - '} + {engine_version} + +
    • +
  • + {scheduled} +
    • +
  • + {started} +
    • +
  • + {finished} +
    • +
  • + {' '} + {errors?.length ? ( + errors.map((error, idx) => ( +
    + + {error} + +
    + )) + ) : ( + <> + )} +
    • +
  • + {' '} + {links?.length ? ( + links.map((link, idx) => ( +

    + + {link} + +

    + )) + ) : ( + <> + )} +
    • +
  • + {output_table} +
    • +
  • + {numRows} +
    • +
+
+ ); +} diff --git a/datajunction-ui/src/app/components/Search.jsx b/datajunction-ui/src/app/components/Search.jsx new file mode 100644 index 000000000..4a958d1f4 --- /dev/null +++ b/datajunction-ui/src/app/components/Search.jsx @@ -0,0 +1,102 @@ +import { useState, useCallback, useContext, useRef } from 'react'; +import DJClientContext from '../providers/djclient'; +import Fuse from 'fuse.js'; + +import './search.css'; + +export default function Search() { + const [fuse, setFuse] = useState(); + const [searchValue, setSearchValue] = useState(''); + const [searchResults, setSearchResults] = useState([]); + const [isLoading, setIsLoading] = useState(false); + const hasLoadedRef = useRef(false); + + const djClient = useContext(DJClientContext).DataJunctionAPI; + + const truncate = str => { + if (str === null) { + return ''; + } + return str.length > 100 ? str.substring(0, 90) + '...' : str; + }; + + // Lazy load search data only when user focuses on search input + const loadSearchData = useCallback(async () => { + if (hasLoadedRef.current || isLoading) return; + hasLoadedRef.current = true; + setIsLoading(true); + + try { + const [data, tags] = await Promise.all([ + djClient.nodeDetails(), + djClient.listTags(), + ]); + const allEntities = data.concat( + (tags || []).map(tag => { + tag.type = 'tag'; + return tag; + }), + ); + const fuseInstance = new Fuse(allEntities || [], { + keys: [ + 'name', // will be assigned a `weight` of 1 + { name: 'description', weight: 2 }, + { name: 'display_name', weight: 3 }, + { name: 'type', weight: 4 }, + { name: 'tag_type', weight: 5 }, + ], + }); + setFuse(fuseInstance); + } catch (error) { + console.error('Error fetching nodes or tags:', error); + hasLoadedRef.current = false; // Allow retry on error + } finally { + setIsLoading(false); + } + }, [djClient, isLoading]); + + const handleChange = e => { + setSearchValue(e.target.value); + if (fuse) { + setSearchResults(fuse.search(e.target.value).map(result => result.item)); + } + }; + + return ( +
+
{ + e.preventDefault(); + }} + > + +
+
+ {searchResults.slice(0, 20).map(item => { + const itemUrl = + item.type !== 'tag' ? `/nodes/${item.name}` : `/tags/${item.name}`; + return ( + +
+ + {item.type} + + {item.display_name} ({item.name}){' '} + {item.description ? '- ' : ' '} + {truncate(item.description || '')} +
+ + ); + })} +
+
+ ); +} diff --git a/datajunction-ui/src/app/components/Tab.jsx b/datajunction-ui/src/app/components/Tab.jsx new file mode 100644 index 000000000..491d27084 --- /dev/null +++ b/datajunction-ui/src/app/components/Tab.jsx @@ -0,0 +1,25 @@ +import { Component } from 'react'; + +export default class Tab extends Component { + render() { + const { id, onClick, selectedTab } = this.props; + return ( +
+
+
+ +
+
+
+ ); + } +} diff --git a/datajunction-ui/src/app/components/ToggleSwitch.jsx b/datajunction-ui/src/app/components/ToggleSwitch.jsx new file mode 100644 index 000000000..08c6674b2 --- /dev/null +++ b/datajunction-ui/src/app/components/ToggleSwitch.jsx @@ -0,0 +1,20 @@ +import React from 'react'; + +const ToggleSwitch = ({ checked, onChange, toggleName }) => ( + <> + onChange(e.target.checked)} + /> + {' '} + {toggleName} + +); + +export default ToggleSwitch; diff --git a/datajunction-ui/src/app/components/UserMenu.tsx b/datajunction-ui/src/app/components/UserMenu.tsx new file mode 100644 index 000000000..61f105db0 --- /dev/null +++ b/datajunction-ui/src/app/components/UserMenu.tsx @@ -0,0 +1,92 @@ +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../providers/djclient'; +import { useCurrentUser } from '../providers/UserProvider'; + +interface User { + id: number; + username: string; + email: string; + name?: string; +} + +// Extract initials from user's name or username +const getInitials = (user: User | null): string => { + if (!user) return '?'; + if (user.name) { + return user.name + .split(' ') + .map(n => n[0]) + .join('') + .toUpperCase() + .slice(0, 2); + } + return user.username.slice(0, 2).toUpperCase(); +}; + +interface UserMenuProps { + onDropdownToggle?: (isOpen: boolean) => void; + forceClose?: boolean; +} + +export default function UserMenu({ + onDropdownToggle, + forceClose, +}: UserMenuProps) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const { currentUser } = useCurrentUser(); + const [showDropdown, setShowDropdown] = useState(false); + + // Close when forceClose becomes true + useEffect(() => { + if (forceClose && showDropdown) { + setShowDropdown(false); + } + }, [forceClose, showDropdown]); + + // Close dropdown when clicking outside + useEffect(() => { + const handleClickOutside = (event: MouseEvent) => { + const target = event.target as HTMLElement; + if (!target.closest('.user-menu-dropdown')) { + setShowDropdown(false); + onDropdownToggle?.(false); + } + }; + document.addEventListener('click', handleClickOutside); + return () => document.removeEventListener('click', handleClickOutside); + }, [onDropdownToggle]); + + const handleToggle = (e: React.MouseEvent) => { + e.stopPropagation(); + const willOpen = !showDropdown; + setShowDropdown(willOpen); + onDropdownToggle?.(willOpen); + }; + + const handleLogout = async () => { + await djClient.logout(); + window.location.reload(); + }; + + return ( +
+ + {showDropdown && ( +
+
+ {currentUser?.username || 'User'} +
+
+ + Settings + + + Logout + +
+ )} +
+ ); +} diff --git a/datajunction-ui/src/app/components/__tests__/ListGroupItem.test.tsx b/datajunction-ui/src/app/components/__tests__/ListGroupItem.test.tsx new file mode 100644 index 000000000..372af7ce5 --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/ListGroupItem.test.tsx @@ -0,0 +1,16 @@ +import * as React from 'react'; +import { createRenderer } from 'react-test-renderer/shallow'; + +import ListGroupItem from '../ListGroupItem'; + +const renderer = createRenderer(); + +describe('', () => { + it('should render and match the snapshot', () => { + renderer.render( + Something} />, + ); + const renderedOutput = renderer.getRenderOutput(); + expect(renderedOutput).toMatchSnapshot(); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/NamespaceHeader.test.jsx b/datajunction-ui/src/app/components/__tests__/NamespaceHeader.test.jsx new file mode 100644 index 000000000..dbf7f6a3e --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/NamespaceHeader.test.jsx @@ -0,0 +1,511 @@ +import * as React from 'react'; +import { render, screen, waitFor, fireEvent } from '@testing-library/react'; +import { createRenderer } from 'react-test-renderer/shallow'; +import { MemoryRouter } from 'react-router-dom'; + +import NamespaceHeader from '../NamespaceHeader'; +import DJClientContext from '../../providers/djclient'; + +const renderer = createRenderer(); + +describe('', () => { + it('should render and match the snapshot', () => { + renderer.render(); + const renderedOutput = renderer.getRenderOutput(); + expect(renderedOutput).toMatchSnapshot(); + }); + + it('should render git source badge when source type is git with branch', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 5, + primary_source: { + type: 'git', + repository: 'github.com/test/repo', + branch: 'main', + }, + }), + listDeployments: jest.fn().mockResolvedValue([]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.namespaceSources).toHaveBeenCalledWith( + 'test.namespace', + ); + }); + + // Should render Git Managed badge for git source + expect(screen.getByText(/Git Managed/)).toBeInTheDocument(); + }); + + it('should render git source badge when source type is git without branch', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 3, + primary_source: { + type: 'git', + repository: 'github.com/test/repo', + branch: null, + }, + }), + listDeployments: jest.fn().mockResolvedValue([]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.namespaceSources).toHaveBeenCalledWith( + 'test.namespace', + ); + }); + + // Should render Git Managed badge for git source even without branch + expect(screen.getByText(/Git Managed/)).toBeInTheDocument(); + }); + + it('should render local source badge when source type is local', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 2, + primary_source: { + type: 'local', + hostname: 'localhost', + }, + }), + listDeployments: jest.fn().mockResolvedValue([]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.namespaceSources).toHaveBeenCalledWith( + 'test.namespace', + ); + }); + + // Should render Local Deploy badge for local source + expect(screen.getByText(/Local Deploy/)).toBeInTheDocument(); + }); + + it('should not render badge when no deployments', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 0, + primary_source: null, + }), + listDeployments: jest.fn().mockResolvedValue([]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.namespaceSources).toHaveBeenCalledWith( + 'test.namespace', + ); + }); + + // Should not render any source badge + expect(screen.queryByText(/Git Managed/)).not.toBeInTheDocument(); + expect(screen.queryByText(/Local Deploy/)).not.toBeInTheDocument(); + }); + + it('should handle API error gracefully', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockRejectedValue(new Error('API Error')), + listDeployments: jest.fn().mockResolvedValue([]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.namespaceSources).toHaveBeenCalledWith( + 'test.namespace', + ); + }); + + // Should still render breadcrumb without badge + expect(screen.getByText('test')).toBeInTheDocument(); + expect(screen.getByText('namespace')).toBeInTheDocument(); + expect(screen.queryByText(/Git Managed/)).not.toBeInTheDocument(); + }); + + it('should open dropdown when clicking the git managed button', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 5, + primary_source: { + type: 'git', + repository: 'github.com/test/repo', + branch: 'main', + }, + }), + listDeployments: jest.fn().mockResolvedValue([ + { + uuid: 'deploy-1', + status: 'success', + created_at: '2024-01-15T10:00:00Z', + source: { + type: 'git', + repository: 'github.com/test/repo', + branch: 'main', + commit_sha: 'abc1234567890', + }, + }, + ]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(screen.getByText(/Git Managed/)).toBeInTheDocument(); + }); + + // Click the dropdown button + fireEvent.click(screen.getByText(/Git Managed/)); + + // Should show repository link in dropdown + await waitFor(() => { + expect(screen.getByText(/github.com\/test\/repo/)).toBeInTheDocument(); + }); + }); + + it('should open dropdown when clicking local deploy button', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 2, + primary_source: { + type: 'local', + hostname: 'localhost', + }, + }), + listDeployments: jest.fn().mockResolvedValue([ + { + uuid: 'deploy-1', + status: 'success', + created_at: '2024-01-15T10:00:00Z', + created_by: 'testuser', + source: { + type: 'local', + hostname: 'localhost', + reason: 'testing', + }, + }, + ]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(screen.getByText(/Local Deploy/)).toBeInTheDocument(); + }); + + // Click the dropdown button + fireEvent.click(screen.getByText(/Local Deploy/)); + + // Should show local deploy info in dropdown + await waitFor(() => { + expect(screen.getByText(/Local deploys by testuser/)).toBeInTheDocument(); + }); + }); + + it('should show recent deployments list with git source', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 3, + primary_source: { + type: 'git', + repository: 'github.com/test/repo', + branch: 'main', + }, + }), + listDeployments: jest.fn().mockResolvedValue([ + { + uuid: 'deploy-1', + status: 'success', + created_at: '2024-01-15T10:00:00Z', + source: { + type: 'git', + repository: 'github.com/test/repo', + branch: 'feature-branch', + commit_sha: 'abc1234567890', + }, + }, + { + uuid: 'deploy-2', + status: 'failed', + created_at: '2024-01-14T10:00:00Z', + source: { + type: 'git', + repository: 'github.com/test/repo', + branch: 'main', + commit_sha: 'def4567890123', + }, + }, + ]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(screen.getByText(/Git Managed/)).toBeInTheDocument(); + }); + + fireEvent.click(screen.getByText(/Git Managed/)); + + // Should show branch names in deployment list + await waitFor(() => { + expect(screen.getByText(/feature-branch/)).toBeInTheDocument(); + }); + + // Should show short commit SHA + expect(screen.getByText(/abc1234/)).toBeInTheDocument(); + }); + + it('should show local deployments with reason', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 2, + primary_source: { + type: 'local', + }, + }), + listDeployments: jest.fn().mockResolvedValue([ + { + uuid: 'deploy-1', + status: 'success', + created_at: '2024-01-15T10:00:00Z', + source: { + type: 'local', + reason: 'hotfix deployment', + hostname: 'dev-machine', + }, + }, + ]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(screen.getByText(/Local Deploy/)).toBeInTheDocument(); + }); + + fireEvent.click(screen.getByText(/Local Deploy/)); + + // Should show reason in deployment list + await waitFor(() => { + expect(screen.getByText(/hotfix deployment/)).toBeInTheDocument(); + }); + }); + + it('should close dropdown when clicking outside', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 5, + primary_source: { + type: 'git', + repository: 'github.com/test/repo', + branch: 'main', + }, + }), + listDeployments: jest.fn().mockResolvedValue([]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(screen.getByText(/Git Managed/)).toBeInTheDocument(); + }); + + // Open dropdown + fireEvent.click(screen.getByText(/Git Managed/)); + + await waitFor(() => { + expect(screen.getByText(/github.com\/test\/repo/)).toBeInTheDocument(); + }); + + // Click outside (on the breadcrumb) + fireEvent.mouseDown(document.body); + + // Dropdown should close + await waitFor(() => { + expect( + screen.queryByText(/github.com\/test\/repo.*\(main\)/), + ).not.toBeInTheDocument(); + }); + }); + + it('should toggle dropdown arrow indicator', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 5, + primary_source: { + type: 'git', + repository: 'github.com/test/repo', + branch: 'main', + }, + }), + listDeployments: jest.fn().mockResolvedValue([]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(screen.getByText(/Git Managed/)).toBeInTheDocument(); + }); + + // Initially shows down arrow + expect(screen.getByText('▼')).toBeInTheDocument(); + + // Click to open + fireEvent.click(screen.getByText(/Git Managed/)); + + // Should show up arrow when open + await waitFor(() => { + expect(screen.getByText('▲')).toBeInTheDocument(); + }); + }); + + it('should handle git repository URL with https prefix', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 1, + primary_source: { + type: 'git', + repository: 'https://github.com/test/repo', + branch: 'main', + }, + }), + listDeployments: jest.fn().mockResolvedValue([]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(screen.getByText(/Git Managed/)).toBeInTheDocument(); + }); + + fireEvent.click(screen.getByText(/Git Managed/)); + + await waitFor(() => { + // Find link by its text content (repository URL) + const link = screen.getByRole('link', { + name: /github\.com\/test\/repo/, + }); + expect(link).toHaveAttribute('href', 'https://github.com/test/repo'); + }); + }); + + it('should render adhoc deployment label when no created_by', async () => { + const mockDjClient = { + namespaceSources: jest.fn().mockResolvedValue({ + total_deployments: 1, + primary_source: { + type: 'local', + }, + }), + listDeployments: jest.fn().mockResolvedValue([ + { + uuid: 'deploy-1', + status: 'success', + created_at: '2024-01-15T10:00:00Z', + created_by: null, + source: { + type: 'local', + }, + }, + ]), + }; + + render( + + + + + , + ); + + await waitFor(() => { + expect(screen.getByText(/Local Deploy/)).toBeInTheDocument(); + }); + + fireEvent.click(screen.getByText(/Local Deploy/)); + + await waitFor(() => { + expect(screen.getByText(/Local\/adhoc deployments/)).toBeInTheDocument(); + }); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/NodeListActions.test.jsx b/datajunction-ui/src/app/components/__tests__/NodeListActions.test.jsx new file mode 100644 index 000000000..bb1143e0b --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/NodeListActions.test.jsx @@ -0,0 +1,94 @@ +import React from 'react'; +import { screen, waitFor } from '@testing-library/react'; +import fetchMock from 'jest-fetch-mock'; +import userEvent from '@testing-library/user-event'; +import { render } from '../../../setupTests'; +import DJClientContext from '../../providers/djclient'; +import NodeListActions from '../NodeListActions'; + +describe('', () => { + beforeEach(() => { + fetchMock.resetMocks(); + jest.clearAllMocks(); + window.scrollTo = jest.fn(); + }); + + const renderElement = djClient => { + return render( + + + , + ); + }; + + const initializeMockDJClient = () => { + return { + DataJunctionAPI: { + deactivate: jest.fn(), + }, + }; + }; + + it('deletes a node when clicked', async () => { + global.confirm = () => true; + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.deactivate.mockReturnValue({ + status: 204, + json: { name: 'source.warehouse.schema.some_table' }, + }); + + renderElement(mockDjClient); + + await userEvent.click(screen.getByRole('button')); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.deactivate).toBeCalled(); + expect(mockDjClient.DataJunctionAPI.deactivate).toBeCalledWith( + 'default.hard_hat', + ); + }); + expect( + screen.getByText('Successfully deleted node default.hard_hat'), + ).toBeInTheDocument(); + }, 60000); + + it('skips a node deletion during confirm', async () => { + global.confirm = () => false; + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.deactivate.mockReturnValue({ + status: 204, + json: { name: 'source.warehouse.schema.some_table' }, + }); + + renderElement(mockDjClient); + + await userEvent.click(screen.getByRole('button')); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.deactivate).not.toBeCalled(); + }); + }, 60000); + + it('fail deleting a node when clicked', async () => { + global.confirm = () => true; + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.deactivate.mockReturnValue({ + status: 777, + json: { message: 'source.warehouse.schema.some_table' }, + }); + + renderElement(mockDjClient); + + await userEvent.click(screen.getByRole('button')); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.deactivate).toBeCalled(); + expect(mockDjClient.DataJunctionAPI.deactivate).toBeCalledWith( + 'default.hard_hat', + ); + }); + expect( + screen.getByText('source.warehouse.schema.some_table'), + ).toBeInTheDocument(); + }, 60000); +}); diff --git a/datajunction-ui/src/app/components/__tests__/NodeMaterializationDelete.test.jsx b/datajunction-ui/src/app/components/__tests__/NodeMaterializationDelete.test.jsx new file mode 100644 index 000000000..8f37475ed --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/NodeMaterializationDelete.test.jsx @@ -0,0 +1,263 @@ +import React from 'react'; +import { render, fireEvent, waitFor, act } from '@testing-library/react'; +import NodeMaterializationDelete from '../NodeMaterializationDelete'; +import DJClientContext from '../../providers/djclient'; + +// Mock window.location.reload +delete window.location; +window.location = { reload: jest.fn() }; + +// Mock window.confirm +window.confirm = jest.fn(); + +const mockDjClient = { + DataJunctionAPI: { + deleteMaterialization: jest.fn(), + }, +}; + +describe('', () => { + beforeEach(() => { + jest.clearAllMocks(); + window.confirm.mockReturnValue(true); + }); + + const defaultProps = { + nodeName: 'default.test_node', + materializationName: 'test_materialization', + nodeVersion: 'v1.0', + }; + + it('renders delete button', () => { + const { container } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + expect(deleteButton).toBeInTheDocument(); + }); + + it('renders with null nodeVersion', () => { + const { container } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + expect(deleteButton).toBeInTheDocument(); + }); + + it('shows confirm dialog when delete button is clicked', async () => { + const { container } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + + await act(async () => { + fireEvent.click(deleteButton); + }); + + expect(window.confirm).toHaveBeenCalledWith( + expect.stringContaining( + 'Deleting materialization job test_materialization', + ), + ); + }); + + it('does not call deleteMaterialization when user cancels confirm', async () => { + window.confirm.mockReturnValueOnce(false); + + const { container } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + + await act(async () => { + fireEvent.click(deleteButton); + }); + + expect(window.confirm).toHaveBeenCalled(); + expect( + mockDjClient.DataJunctionAPI.deleteMaterialization, + ).not.toHaveBeenCalled(); + }); + + it('calls deleteMaterialization with correct params on success - status 200', async () => { + mockDjClient.DataJunctionAPI.deleteMaterialization.mockResolvedValue({ + status: 200, + json: { message: 'Deleted successfully' }, + }); + + const { container, getByText } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + + await act(async () => { + fireEvent.click(deleteButton); + }); + + await waitFor(() => { + expect( + mockDjClient.DataJunctionAPI.deleteMaterialization, + ).toHaveBeenCalledWith( + 'default.test_node', + 'test_materialization', + 'v1.0', + ); + expect( + getByText(/Successfully deleted materialization job/), + ).toBeInTheDocument(); + expect(window.location.reload).toHaveBeenCalled(); + }); + }); + + it('calls deleteMaterialization with correct params on success - status 201', async () => { + mockDjClient.DataJunctionAPI.deleteMaterialization.mockResolvedValue({ + status: 201, + json: { message: 'Deleted successfully' }, + }); + + const { container } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + + await act(async () => { + fireEvent.click(deleteButton); + }); + + await waitFor(() => { + expect( + mockDjClient.DataJunctionAPI.deleteMaterialization, + ).toHaveBeenCalled(); + expect(window.location.reload).toHaveBeenCalled(); + }); + }); + + it('calls deleteMaterialization with correct params on success - status 204', async () => { + mockDjClient.DataJunctionAPI.deleteMaterialization.mockResolvedValue({ + status: 204, + json: {}, + }); + + const { container } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + + await act(async () => { + fireEvent.click(deleteButton); + }); + + await waitFor(() => { + expect( + mockDjClient.DataJunctionAPI.deleteMaterialization, + ).toHaveBeenCalled(); + expect(window.location.reload).toHaveBeenCalled(); + }); + }); + + it('displays error message when deletion fails', async () => { + mockDjClient.DataJunctionAPI.deleteMaterialization.mockResolvedValue({ + status: 500, + json: { message: 'Internal server error' }, + }); + + const { container, getByText } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + + await act(async () => { + fireEvent.click(deleteButton); + }); + + await waitFor(() => { + expect( + mockDjClient.DataJunctionAPI.deleteMaterialization, + ).toHaveBeenCalled(); + expect(getByText('Internal server error')).toBeInTheDocument(); + expect(window.location.reload).not.toHaveBeenCalled(); + }); + }); + + it('hides delete button after successful deletion', async () => { + mockDjClient.DataJunctionAPI.deleteMaterialization.mockResolvedValue({ + status: 200, + json: { message: 'Deleted successfully' }, + }); + + const { container } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + expect(deleteButton).toBeInTheDocument(); + + await act(async () => { + fireEvent.click(deleteButton); + }); + + await waitFor(() => { + expect( + mockDjClient.DataJunctionAPI.deleteMaterialization, + ).toHaveBeenCalled(); + }); + }); + + it('passes null nodeVersion to deleteMaterialization when not provided', async () => { + mockDjClient.DataJunctionAPI.deleteMaterialization.mockResolvedValue({ + status: 200, + json: { message: 'Deleted successfully' }, + }); + + const { container } = render( + + + , + ); + + const deleteButton = container.querySelector('button[type="submit"]'); + + await act(async () => { + fireEvent.click(deleteButton); + }); + + await waitFor(() => { + expect( + mockDjClient.DataJunctionAPI.deleteMaterialization, + ).toHaveBeenCalledWith('default.test_node', 'test_mat', null); + }); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/NotificationBell.test.tsx b/datajunction-ui/src/app/components/__tests__/NotificationBell.test.tsx new file mode 100644 index 000000000..f900c3f9b --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/NotificationBell.test.tsx @@ -0,0 +1,336 @@ +import React from 'react'; +import { render, screen, fireEvent, waitFor } from '@testing-library/react'; +import NotificationBell from '../NotificationBell'; +import DJClientContext from '../../providers/djclient'; +import { UserProvider } from '../../providers/UserProvider'; + +describe('', () => { + const mockNotifications = [ + { + id: 1, + entity_type: 'node', + entity_name: 'default.metrics.revenue', + node: 'default.metrics.revenue', + activity_type: 'update', + user: 'alice', + created_at: new Date().toISOString(), + details: { version: 'v2' }, + }, + { + id: 2, + entity_type: 'node', + entity_name: 'default.dimensions.country', + node: 'default.dimensions.country', + activity_type: 'create', + user: 'bob', + created_at: new Date(Date.now() - 3600000).toISOString(), // 1 hour ago + details: { version: 'v1' }, + }, + ]; + + const mockNodes = [ + { + name: 'default.metrics.revenue', + type: 'metric', + current: { displayName: 'Revenue Metric' }, + }, + { + name: 'default.dimensions.country', + type: 'dimension', + current: { displayName: 'Country' }, + }, + ]; + + const createMockDjClient = (overrides = {}) => ({ + whoami: jest.fn().mockResolvedValue({ + id: 1, + username: 'testuser', + last_viewed_notifications_at: null, + }), + getSubscribedHistory: jest.fn().mockResolvedValue(mockNotifications), + getNodesByNames: jest.fn().mockResolvedValue(mockNodes), + markNotificationsRead: jest.fn().mockResolvedValue({}), + ...overrides, + }); + + const renderWithContext = (mockDjClient: any, props = {}) => { + return render( + + + + + , + ); + }; + + beforeEach(() => { + jest.clearAllMocks(); + }); + + it('renders the notification bell button', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + const button = screen.getByRole('button'); + expect(button).toBeInTheDocument(); + }); + + it('shows unread badge when there are unread notifications', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + // Wait for notifications to load + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + // Badge should show count of 2 (all notifications are unread since last_viewed is null) + const badge = await screen.findByText('2'); + expect(badge).toHaveClass('notification-badge'); + }); + + it('does not show badge when all notifications have been viewed', async () => { + const mockDjClient = createMockDjClient({ + whoami: jest.fn().mockResolvedValue({ + id: 1, + username: 'testuser', + // Set last_viewed to future date so all notifications are "read" + last_viewed_notifications_at: new Date( + Date.now() + 10000, + ).toISOString(), + }), + }); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + // Badge should not be present (no unread count shown) + const badge = document.querySelector('.notification-badge'); + expect(badge).toBeNull(); + }); + + it('opens dropdown when bell is clicked', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + expect(screen.getByText('Updates')).toBeInTheDocument(); + }); + + it('displays notifications in the dropdown', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + // Check that display names are shown + expect(screen.getByText('Revenue Metric')).toBeInTheDocument(); + expect(screen.getByText('Country')).toBeInTheDocument(); + + // Check that entity names are shown below + expect(screen.getByText('default.metrics.revenue')).toBeInTheDocument(); + expect(screen.getByText('default.dimensions.country')).toBeInTheDocument(); + }); + + it('shows empty state when no notifications', async () => { + const mockDjClient = createMockDjClient({ + getSubscribedHistory: jest.fn().mockResolvedValue([]), + }); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + expect(screen.getByText('No updates on watched nodes')).toBeInTheDocument(); + }); + + it('marks notifications as read when dropdown is opened', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + expect(mockDjClient.markNotificationsRead).toHaveBeenCalled(); + }); + + it('does not mark as read if already all read', async () => { + const mockDjClient = createMockDjClient({ + whoami: jest.fn().mockResolvedValue({ + id: 1, + username: 'testuser', + last_viewed_notifications_at: new Date( + Date.now() + 10000, + ).toISOString(), + }), + }); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + // Should not call markNotificationsRead since unreadCount is 0 + expect(mockDjClient.markNotificationsRead).not.toHaveBeenCalled(); + }); + + it('shows View all link when there are notifications', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + const viewAllLink = screen.getByText('View all'); + expect(viewAllLink).toHaveAttribute('href', '/notifications'); + }); + + it('calls onDropdownToggle when dropdown state changes', async () => { + const mockDjClient = createMockDjClient(); + const onDropdownToggle = jest.fn(); + + render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + expect(onDropdownToggle).toHaveBeenCalledWith(true); + }); + + it('closes dropdown when forceClose becomes true', async () => { + const mockDjClient = createMockDjClient(); + + const { rerender } = render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + // Open the dropdown + const button = screen.getByRole('button'); + fireEvent.click(button); + + // Verify dropdown is open + expect(screen.getByText('Updates')).toBeInTheDocument(); + + // Rerender with forceClose=true + rerender( + + + + + , + ); + + // Dropdown should be closed + expect(screen.queryByText('Updates')).not.toBeInTheDocument(); + }); + + it('closes dropdown when clicking outside', async () => { + const mockDjClient = createMockDjClient(); + const onDropdownToggle = jest.fn(); + + render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.getSubscribedHistory).toHaveBeenCalled(); + }); + + // Open the dropdown + const button = screen.getByRole('button'); + fireEvent.click(button); + + // Verify dropdown is open + expect(screen.getByText('Updates')).toBeInTheDocument(); + + // Click outside the dropdown + fireEvent.click(document.body); + + // Dropdown should be closed + expect(screen.queryByText('Updates')).not.toBeInTheDocument(); + + // onDropdownToggle should have been called with false + expect(onDropdownToggle).toHaveBeenCalledWith(false); + }); + + it('handles error when fetching notifications fails', async () => { + const consoleErrorSpy = jest + .spyOn(console, 'error') + .mockImplementation(() => {}); + + const mockDjClient = createMockDjClient({ + getSubscribedHistory: jest + .fn() + .mockRejectedValue(new Error('Network error')), + }); + + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(consoleErrorSpy).toHaveBeenCalledWith( + 'Error fetching notifications:', + expect.any(Error), + ); + }); + + consoleErrorSpy.mockRestore(); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/QueryInfo.test.jsx b/datajunction-ui/src/app/components/__tests__/QueryInfo.test.jsx new file mode 100644 index 000000000..a35dabe89 --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/QueryInfo.test.jsx @@ -0,0 +1,183 @@ +import React from 'react'; +import { render } from '@testing-library/react'; +import QueryInfo from '../QueryInfo'; + +describe('', () => { + const defaultProps = { + id: 'query-123', + state: 'completed', + engine_name: 'spark', + engine_version: '3.2.0', + errors: [], + links: [], + output_table: 'output.table', + scheduled: '2024-01-01 10:00:00', + started: '2024-01-01 10:05:00', + finished: '2024-01-01 10:15:00', + numRows: 1000, + isList: false, + }; + + it('renders table view when isList is false', () => { + const { getByText, container } = render(); + + expect(getByText('Query ID')).toBeInTheDocument(); + expect(getByText('query-123')).toBeInTheDocument(); + expect(container.textContent).toContain('spark'); + expect(getByText('completed')).toBeInTheDocument(); + }); + + it('renders list view when isList is true', () => { + const { getByText } = render(); + + expect(getByText('Query ID')).toBeInTheDocument(); + expect(getByText('State')).toBeInTheDocument(); + expect(getByText('Engine')).toBeInTheDocument(); + }); + + it('displays errors in table view', () => { + const propsWithErrors = { + ...defaultProps, + errors: ['Error 1', 'Error 2'], + }; + + const { getByText } = render(); + + expect(getByText('Error 1')).toBeInTheDocument(); + expect(getByText('Error 2')).toBeInTheDocument(); + }); + + it('displays links in table view', () => { + const propsWithLinks = { + ...defaultProps, + links: ['https://example.com/query1', 'https://example.com/query2'], + }; + + const { getByText } = render(); + + expect(getByText('https://example.com/query1')).toBeInTheDocument(); + expect(getByText('https://example.com/query2')).toBeInTheDocument(); + }); + + it('renders empty state when no errors', () => { + const { container } = render(); + + const errorCell = container.querySelector('td:nth-child(6)'); + expect(errorCell).toBeInTheDocument(); + }); + + it('renders empty state when no links', () => { + const { container } = render(); + + const linksCell = container.querySelector('td:nth-child(7)'); + expect(linksCell).toBeInTheDocument(); + }); + + it('displays all query information in table view', () => { + const { getByText } = render(); + + expect(getByText('output.table')).toBeInTheDocument(); + expect(getByText('1000')).toBeInTheDocument(); + expect(getByText('2024-01-01 10:00:00')).toBeInTheDocument(); + expect(getByText('2024-01-01 10:05:00')).toBeInTheDocument(); + }); + + it('renders list view with query ID link when links present', () => { + const propsWithLinks = { + ...defaultProps, + links: ['https://example.com/query'], + isList: true, + }; + + const { container } = render(); + + const link = container.querySelector('a[href="https://example.com/query"]'); + expect(link).toBeInTheDocument(); + expect(link).toHaveTextContent('query-123'); + }); + + it('renders list view with query ID as text when no links', () => { + const propsNoLinks = { + ...defaultProps, + links: [], + isList: true, + }; + + const { getByText } = render(); + + expect(getByText('query-123')).toBeInTheDocument(); + }); + + it('displays errors with syntax highlighter in list view', () => { + const propsWithErrors = { + ...defaultProps, + errors: ['Syntax error on line 5', 'Connection timeout'], + isList: true, + }; + + const { getByText } = render(); + + expect(getByText('Logs')).toBeInTheDocument(); + }); + + it('displays finished timestamp in list view', () => { + const { getByText } = render(); + + expect(getByText('Finished')).toBeInTheDocument(); + expect(getByText('2024-01-01 10:15:00')).toBeInTheDocument(); + }); + + it('displays output table and row count in list view', () => { + const { getByText } = render(); + + expect(getByText('Output Table:')).toBeInTheDocument(); + expect(getByText('output.table')).toBeInTheDocument(); + expect(getByText('Rows:')).toBeInTheDocument(); + expect(getByText('1000')).toBeInTheDocument(); + }); + + it('displays multiple links in list view', () => { + const propsWithLinks = { + ...defaultProps, + links: ['https://link1.com', 'https://link2.com', 'https://link3.com'], + isList: true, + }; + + const { getByText } = render(); + + expect(getByText('https://link1.com')).toBeInTheDocument(); + expect(getByText('https://link2.com')).toBeInTheDocument(); + expect(getByText('https://link3.com')).toBeInTheDocument(); + }); + + it('renders empty logs section when no errors in list view', () => { + const { getByText } = render(); + + expect(getByText('Logs')).toBeInTheDocument(); + }); + + it('displays engine name and version correctly', () => { + const { container } = render(); + + const badges = container.querySelectorAll('.badge'); + const engineBadge = Array.from(badges).find(b => + b.textContent.includes('spark'), + ); + expect(engineBadge).toBeTruthy(); + expect(engineBadge.textContent).toContain('3.2.0'); + }); + + it('handles undefined optional props', () => { + const minimalProps = { + id: 'query-456', + state: 'running', + engine_name: 'trino', + engine_version: '1.0', + }; + + const { getByText } = render(); + + expect(getByText('query-456')).toBeInTheDocument(); + expect(getByText('running')).toBeInTheDocument(); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/Search.test.jsx b/datajunction-ui/src/app/components/__tests__/Search.test.jsx new file mode 100644 index 000000000..b88db4acd --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/Search.test.jsx @@ -0,0 +1,342 @@ +import React from 'react'; +import { render, fireEvent, waitFor, screen } from '@testing-library/react'; +import Search from '../Search'; +import DJClientContext from '../../providers/djclient'; + +const mockDjClient = { + DataJunctionAPI: { + nodeDetails: jest.fn(), + listTags: jest.fn(), + }, +}; + +describe('', () => { + beforeEach(() => { + jest.clearAllMocks(); + }); + + const mockNodes = [ + { + name: 'default.test_node', + display_name: 'Test Node', + description: 'A test node for testing', + type: 'transform', + }, + { + name: 'default.another_node', + display_name: 'Another Node', + description: null, // Test null description + type: 'metric', + }, + { + name: 'default.long_description_node', + display_name: 'Long Description', + description: + 'This is a very long description that exceeds 100 characters and should be truncated to prevent display issues in the search results interface', + type: 'dimension', + }, + ]; + + const mockTags = [ + { + name: 'test_tag', + display_name: 'Test Tag', + description: 'A test tag', + tag_type: 'business', + }, + ]; + + it('renders search input', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(mockNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue(mockTags); + + const { getByPlaceholderText } = render( + + + , + ); + + expect(getByPlaceholderText('Search')).toBeInTheDocument(); + }); + + it('fetches and initializes search data on focus (lazy loading)', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(mockNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue(mockTags); + + const { getByPlaceholderText } = render( + + + , + ); + + // Data should NOT be fetched on mount + expect(mockDjClient.DataJunctionAPI.nodeDetails).not.toHaveBeenCalled(); + + // Focus on search input to trigger lazy loading + const searchInput = getByPlaceholderText('Search'); + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.nodeDetails).toHaveBeenCalled(); + expect(mockDjClient.DataJunctionAPI.listTags).toHaveBeenCalled(); + }); + }); + + it('displays search results when typing', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(mockNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue(mockTags); + + const { getByPlaceholderText, getByText } = render( + + + , + ); + + const searchInput = getByPlaceholderText('Search'); + // Focus to trigger lazy loading + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.nodeDetails).toHaveBeenCalled(); + }); + + fireEvent.change(searchInput, { target: { value: 'test' } }); + + await waitFor(() => { + expect(getByText(/Test Node/)).toBeInTheDocument(); + }); + }); + + it('displays nodes with correct URLs', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(mockNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue(mockTags); + + const { getByPlaceholderText, container } = render( + + + , + ); + + const searchInput = getByPlaceholderText('Search'); + // Focus to trigger lazy loading + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.nodeDetails).toHaveBeenCalled(); + }); + + fireEvent.change(searchInput, { target: { value: 'node' } }); + + await waitFor(() => { + const links = container.querySelectorAll('a[href^="/nodes/"]'); + expect(links.length).toBeGreaterThan(0); + }); + }); + + it('displays tags with correct URLs', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue([]); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue(mockTags); + + const { getByPlaceholderText, container } = render( + + + , + ); + + const searchInput = getByPlaceholderText('Search'); + // Focus to trigger lazy loading + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.listTags).toHaveBeenCalled(); + }); + + fireEvent.change(searchInput, { target: { value: 'tag' } }); + + await waitFor(() => { + const links = container.querySelectorAll('a[href^="/tags/"]'); + expect(links.length).toBeGreaterThan(0); + }); + }); + + it('truncates long descriptions', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(mockNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue([]); + + const { getByPlaceholderText, getByText } = render( + + + , + ); + + const searchInput = getByPlaceholderText('Search'); + // Focus to trigger lazy loading + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.nodeDetails).toHaveBeenCalled(); + }); + + fireEvent.change(searchInput, { target: { value: 'long' } }); + + await waitFor(() => { + expect(getByText(/\.\.\./)).toBeInTheDocument(); + }); + }); + + it('handles null descriptions', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(mockNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue([]); + + const { getByPlaceholderText, getByText } = render( + + + , + ); + + const searchInput = getByPlaceholderText('Search'); + // Focus to trigger lazy loading + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.nodeDetails).toHaveBeenCalled(); + }); + + fireEvent.change(searchInput, { target: { value: 'another' } }); + + await waitFor(() => { + expect(getByText(/Another Node/)).toBeInTheDocument(); + }); + }); + + it('limits search results to 20 items', async () => { + const manyNodes = Array.from({ length: 30 }, (_, i) => ({ + name: `default.node${i}`, + display_name: `Node ${i}`, + description: `Description ${i}`, + type: 'transform', + })); + + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(manyNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue([]); + + const { getByPlaceholderText, container } = render( + + + , + ); + + const searchInput = getByPlaceholderText('Search'); + // Focus to trigger lazy loading + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.nodeDetails).toHaveBeenCalled(); + }); + + fireEvent.change(searchInput, { target: { value: 'node' } }); + + await waitFor(() => { + const results = container.querySelectorAll('.search-result-item'); + expect(results.length).toBeLessThanOrEqual(20); + }); + }); + + it('handles error when fetching nodes', async () => { + const consoleErrorSpy = jest.spyOn(console, 'error').mockImplementation(); + mockDjClient.DataJunctionAPI.nodeDetails.mockRejectedValue( + new Error('Network error'), + ); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue([]); + + const { getByPlaceholderText } = render( + + + , + ); + + // Focus to trigger lazy loading + const searchInput = getByPlaceholderText('Search'); + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(consoleErrorSpy).toHaveBeenCalledWith( + 'Error fetching nodes or tags:', + expect.any(Error), + ); + }); + + consoleErrorSpy.mockRestore(); + }); + + it('prevents form submission', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue([]); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue([]); + + const { container } = render( + + + , + ); + + const form = container.querySelector('form'); + + const submitEvent = new Event('submit', { + bubbles: true, + cancelable: true, + }); + const preventDefaultSpy = jest.spyOn(submitEvent, 'preventDefault'); + + form.dispatchEvent(submitEvent); + + expect(preventDefaultSpy).toHaveBeenCalled(); + }); + + it('handles empty tags array', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(mockNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue(null); + + const { getByPlaceholderText } = render( + + + , + ); + + const searchInput = getByPlaceholderText('Search'); + // Focus to trigger lazy loading + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.listTags).toHaveBeenCalled(); + }); + + // Should not throw an error + expect(searchInput).toBeInTheDocument(); + }); + + it('shows description separator correctly', async () => { + mockDjClient.DataJunctionAPI.nodeDetails.mockResolvedValue(mockNodes); + mockDjClient.DataJunctionAPI.listTags.mockResolvedValue([]); + + const { getByPlaceholderText, container } = render( + + + , + ); + + const searchInput = getByPlaceholderText('Search'); + // Focus to trigger lazy loading + fireEvent.focus(searchInput); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.nodeDetails).toHaveBeenCalled(); + }); + + fireEvent.change(searchInput, { target: { value: 'test' } }); + + await waitFor(() => { + const results = container.querySelector('.search-result-item'); + expect(results).toBeInTheDocument(); + }); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/Tab.test.jsx b/datajunction-ui/src/app/components/__tests__/Tab.test.jsx new file mode 100644 index 000000000..72fdd19c4 --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/Tab.test.jsx @@ -0,0 +1,27 @@ +import * as React from 'react'; +import { render, fireEvent } from '@testing-library/react'; + +import Tab from '../Tab'; + +describe('', () => { + it('renders without crashing', () => { + render(); + }); + + it('has the active class when selectedTab matches id', () => { + const { container } = render(); + expect(container.querySelector('.col')).toHaveClass('active'); + }); + + it('does not have the active class when selectedTab does not match id', () => { + const { container } = render(); + expect(container.querySelector('.col')).not.toHaveClass('active'); + }); + + it('calls onClick when the button is clicked', () => { + const onClickMock = jest.fn(); + const { getByRole } = render(); + fireEvent.click(getByRole('button')); + expect(onClickMock).toHaveBeenCalledTimes(1); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/ToggleSwitch.test.jsx b/datajunction-ui/src/app/components/__tests__/ToggleSwitch.test.jsx new file mode 100644 index 000000000..a6919b61a --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/ToggleSwitch.test.jsx @@ -0,0 +1,43 @@ +import React from 'react'; +import { render, fireEvent, screen } from '@testing-library/react'; +import ToggleSwitch from '../ToggleSwitch'; + +describe('', () => { + const defaultProps = { + checked: false, + onChange: jest.fn(), + toggleName: 'Toggle Switch', + }; + + it('renders without crashing', () => { + render(); + }); + + it('displays the correct toggle name', () => { + render(); + expect(screen.getByText(defaultProps.toggleName)).toBeInTheDocument(); + }); + + it('reflects the checked state correctly', () => { + render(); + const checkbox = screen.getByRole('checkbox'); + expect(checkbox).toBeChecked(); + }); + + it('calls onChange with the correct value when toggled', () => { + render(); + const checkbox = screen.getByRole('checkbox'); + + fireEvent.click(checkbox); + expect(defaultProps.onChange).toHaveBeenCalledWith(true); + + fireEvent.click(checkbox); + expect(checkbox).not.toBeChecked(); + }); + + it('is unchecked by default if no checked prop is provided', () => { + render(); + const checkbox = screen.getByRole('checkbox'); + expect(checkbox).not.toBeChecked(); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/UserMenu.test.tsx b/datajunction-ui/src/app/components/__tests__/UserMenu.test.tsx new file mode 100644 index 000000000..9b9a0bb02 --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/UserMenu.test.tsx @@ -0,0 +1,248 @@ +import React from 'react'; +import { render, screen, fireEvent, waitFor } from '@testing-library/react'; +import UserMenu from '../UserMenu'; +import DJClientContext from '../../providers/djclient'; +import { UserProvider } from '../../providers/UserProvider'; + +describe('', () => { + const createMockDjClient = (overrides = {}) => ({ + whoami: jest.fn().mockResolvedValue({ + id: 1, + username: 'testuser', + email: 'test@example.com', + }), + logout: jest.fn().mockResolvedValue({}), + ...overrides, + }); + + const renderWithContext = (mockDjClient: any, props = {}) => { + return render( + + + + + , + ); + }; + + // Mock window.location.reload + const originalLocation = window.location; + + beforeEach(() => { + jest.clearAllMocks(); + delete (window as any).location; + (window as any).location = { ...originalLocation, reload: jest.fn() }; + }); + + afterEach(() => { + (window as any).location = originalLocation; + }); + + it('renders the avatar button', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + const button = screen.getByRole('button'); + expect(button).toBeInTheDocument(); + expect(button).toHaveClass('avatar-button'); + }); + + it('shows "?" before user is loaded', () => { + const mockDjClient = createMockDjClient({ + whoami: jest.fn().mockImplementation( + () => new Promise(() => {}), // Never resolves + ), + }); + renderWithContext(mockDjClient); + + const button = screen.getByRole('button'); + expect(button).toHaveTextContent('?'); + }); + + it('displays initials from username (first two letters uppercase)', async () => { + const mockDjClient = createMockDjClient({ + whoami: jest.fn().mockResolvedValue({ + id: 1, + username: 'johndoe', + email: 'john@example.com', + }), + }); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + const button = await screen.findByText('JO'); + expect(button).toBeInTheDocument(); + }); + + it('displays initials from name when available', async () => { + const mockDjClient = createMockDjClient({ + whoami: jest.fn().mockResolvedValue({ + id: 1, + username: 'johndoe', + email: 'john@example.com', + name: 'John Doe', + }), + }); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + const button = await screen.findByText('JD'); + expect(button).toBeInTheDocument(); + }); + + it('opens dropdown when avatar is clicked', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + expect(screen.getByText('testuser')).toBeInTheDocument(); + }); + + it('shows Settings and Logout links in dropdown', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + const settingsLink = screen.getByText('Settings'); + expect(settingsLink).toHaveAttribute('href', '/settings'); + + const logoutLink = screen.getByText('Logout'); + expect(logoutLink).toHaveAttribute('href', '/'); + }); + + it('calls logout and reloads page when Logout is clicked', async () => { + const mockDjClient = createMockDjClient(); + renderWithContext(mockDjClient); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + const logoutLink = screen.getByText('Logout'); + fireEvent.click(logoutLink); + + expect(mockDjClient.logout).toHaveBeenCalled(); + }); + + it('calls onDropdownToggle when dropdown is opened', async () => { + const mockDjClient = createMockDjClient(); + const onDropdownToggle = jest.fn(); + renderWithContext(mockDjClient, { onDropdownToggle }); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + fireEvent.click(button); + + expect(onDropdownToggle).toHaveBeenCalledWith(true); + }); + + it('closes dropdown when forceClose becomes true', async () => { + const mockDjClient = createMockDjClient(); + + const { rerender } = render( + + + + + , + ); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + // Open the dropdown + const button = screen.getByRole('button'); + fireEvent.click(button); + + // Verify dropdown is open + expect(screen.getByText('testuser')).toBeInTheDocument(); + + // Rerender with forceClose=true + rerender( + + + + + , + ); + + // Dropdown should be closed + expect(screen.queryByText('Settings')).not.toBeInTheDocument(); + }); + + it('closes dropdown when clicking outside', async () => { + const mockDjClient = createMockDjClient(); + const onDropdownToggle = jest.fn(); + renderWithContext(mockDjClient, { onDropdownToggle }); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + // Open the dropdown + const button = screen.getByRole('button'); + fireEvent.click(button); + + // Verify dropdown is open + expect(screen.getByText('testuser')).toBeInTheDocument(); + + // Click outside + fireEvent.click(document.body); + + // Dropdown should be closed + expect(screen.queryByText('Settings')).not.toBeInTheDocument(); + + // onDropdownToggle should be called with false + expect(onDropdownToggle).toHaveBeenCalledWith(false); + }); + + it('toggles dropdown closed when clicking avatar again', async () => { + const mockDjClient = createMockDjClient(); + const onDropdownToggle = jest.fn(); + renderWithContext(mockDjClient, { onDropdownToggle }); + + await waitFor(() => { + expect(mockDjClient.whoami).toHaveBeenCalled(); + }); + + const button = screen.getByRole('button'); + + // Open + fireEvent.click(button); + expect(onDropdownToggle).toHaveBeenCalledWith(true); + expect(screen.getByText('testuser')).toBeInTheDocument(); + + // Close by clicking again + fireEvent.click(button); + expect(onDropdownToggle).toHaveBeenCalledWith(false); + }); +}); diff --git a/datajunction-ui/src/app/components/__tests__/__snapshots__/ListGroupItem.test.tsx.snap b/datajunction-ui/src/app/components/__tests__/__snapshots__/ListGroupItem.test.tsx.snap new file mode 100644 index 000000000..36e02478d --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/__snapshots__/ListGroupItem.test.tsx.snap @@ -0,0 +1,31 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[` should render and match the snapshot 1`] = ` +
+
+
+
+ Name +
+
+ + + Something + + +
+
+
+
+`; diff --git a/datajunction-ui/src/app/components/__tests__/__snapshots__/NamespaceHeader.test.jsx.snap b/datajunction-ui/src/app/components/__tests__/__snapshots__/NamespaceHeader.test.jsx.snap new file mode 100644 index 000000000..15f8fc4f1 --- /dev/null +++ b/datajunction-ui/src/app/components/__tests__/__snapshots__/NamespaceHeader.test.jsx.snap @@ -0,0 +1,152 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[` should render and match the snapshot 1`] = ` +
+
+ + + + + + + + + + + shared + + + + + + + + dimensions + + + + + + + + accounts + + +
+
+`; diff --git a/datajunction-ui/src/app/components/djgraph/Collapse.jsx b/datajunction-ui/src/app/components/djgraph/Collapse.jsx new file mode 100644 index 000000000..6f4d3024a --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/Collapse.jsx @@ -0,0 +1,47 @@ +import React from 'react'; +import { DJNodeDimensions } from './DJNodeDimensions'; +import { DJNodeColumns } from './DJNodeColumns'; + +export default function Collapse({ collapsed, text, data }) { + const [isCollapsed, setIsCollapsed] = React.useState(collapsed); + + const limit = 5; + return ( + <> +
+ {data.type === 'metric' ? ( + + ) : ( + '' + )} +
+ {data.type !== 'metric' + ? isCollapsed + ? DJNodeColumns({ data: data, limit: limit }) + : DJNodeColumns({ data: data, limit: 100 }) + : DJNodeDimensions(data)} +
+ {data.type !== 'metric' && data.column_names.length > limit ? ( + + ) : ( + '' + )} +
+ + ); +} diff --git a/datajunction-ui/src/app/components/djgraph/DJNode.jsx b/datajunction-ui/src/app/components/djgraph/DJNode.jsx new file mode 100644 index 000000000..82c8fcc80 --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/DJNode.jsx @@ -0,0 +1,89 @@ +import { memo } from 'react'; +import { Handle, Position } from 'reactflow'; +import Collapse from './Collapse'; + +function capitalize(string) { + return string.charAt(0).toUpperCase() + string.slice(1); +} + +export function DJNode({ id, data }) { + const handleWrapperStyle = { + display: 'flex', + position: 'absolute', + height: '100%', + flexDirection: 'column', + top: '50%', + justifyContent: 'space-between', + }; + const handleWrapperStyleRight = { ...handleWrapperStyle, ...{ right: 0 } }; + + const handleStyle = { + width: '12px', + height: '12px', + borderRadius: '12px', + background: 'transparent', + border: '4px solid transparent', + cursor: 'pointer', + position: 'absolute', + top: '0px', + left: 0, + }; + const handleStyleLeft = percentage => { + return { + ...handleStyle, + ...{ + transform: 'translate(-' + percentage + '%, -50%)', + }, + }; + }; + const highlightNodeClass = + data.is_current === true ? ' dj-node_highlight' : ''; + return ( + <> +
+
+ +
+
+
+ {data.name + .split('.') + .slice(0, data.name.split('.').length - 1) + .join(' \u25B6 ')} +
+
+ +
+ +
+
+ + ); +} + +export default memo(DJNode); diff --git a/datajunction-ui/src/app/components/djgraph/DJNodeColumns.jsx b/datajunction-ui/src/app/components/djgraph/DJNodeColumns.jsx new file mode 100644 index 000000000..8f4f7180c --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/DJNodeColumns.jsx @@ -0,0 +1,75 @@ +import { Handle } from 'reactflow'; +import React from 'react'; + +export function DJNodeColumns({ data, limit }) { + const handleWrapperStyle = { + display: 'flex', + position: 'absolute', + height: '100%', + flexDirection: 'column', + top: '50%', + justifyContent: 'space-between', + }; + const handleWrapperStyleRight = { ...handleWrapperStyle, ...{ right: 0 } }; + + const handleStyle = { + width: '12px', + height: '12px', + borderRadius: '12px', + background: 'transparent', + border: '4px solid transparent', + cursor: 'pointer', + position: 'absolute', + top: '0px', + left: 0, + }; + const handleStyleLeft = percentage => { + return { + ...handleStyle, + ...{ + transform: 'translate(-' + percentage + '%, -50%)', + }, + }; + }; + return data.column_names.slice(0, limit).map(col => ( +
+
+ +
+
+ {data.primary_key.includes(col.name) ? ( + {col.name} (PK) + ) : ( + <>{col.name} + )} + + {col.type} + +
+
+ +
+
+ )); +} diff --git a/datajunction-ui/src/app/components/djgraph/DJNodeDimensions.jsx b/datajunction-ui/src/app/components/djgraph/DJNodeDimensions.jsx new file mode 100644 index 000000000..e40140205 --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/DJNodeDimensions.jsx @@ -0,0 +1,75 @@ +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; + +export function DJNodeDimensions(data) { + const [dimensions, setDimensions] = useState([]); + const djClient = useContext(DJClientContext).DataJunctionAPI; + useEffect(() => { + if (data.type === 'metric') { + async function getDimensions() { + try { + const metricData = await djClient.metric(data.name); + setDimensions(metricData.dimensions); + } catch (err) { + console.log(err); + } + } + getDimensions(); + } + }, [data, djClient]); + const dimensionsToObject = dimensions => { + return dimensions.map(dim => { + const [attribute, ...nodeName] = dim.name.split('.').reverse(); + return { + dimension: nodeName.reverse().join('.'), + path: dim.path, + column: attribute, + }; + }); + }; + const groupedDimensions = dims => + dims.reduce((acc, current) => { + const dimKey = current.dimension + ' via ' + current.path.slice(-1); + acc[dimKey] = acc[dimKey] || { + dimension: current.dimension, + path: current.path.slice(-1), + columns: [], + }; + acc[dimKey].columns.push(current.column); + return acc; + }, {}); + const dimensionsRenderer = grouped => + Object.entries(grouped).map(([dimKey, dimValue]) => { + if (Array.isArray(dimValue.columns)) { + const attributes = dimValue.columns.map(col => { + return ( + + {col} + + ); + }); + return ( +
+
+ {dimValue.dimension}{' '} +
+ {dimValue.path} +
+
+
{attributes}
+
+ ); + } + return <>; + }); + return ( + <> + {dimensions.length <= 0 + ? '' + : dimensionsRenderer(groupedDimensions(dimensionsToObject(dimensions)))} + + ); +} diff --git a/datajunction-ui/src/app/components/djgraph/LayoutFlow.jsx b/datajunction-ui/src/app/components/djgraph/LayoutFlow.jsx new file mode 100644 index 000000000..1c5ec23c8 --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/LayoutFlow.jsx @@ -0,0 +1,106 @@ +import React, { useCallback, useEffect, useMemo } from 'react'; +import ReactFlow, { + addEdge, + MiniMap, + Controls, + Background, + useNodesState, + useEdgesState, +} from 'reactflow'; + +import '../../../styles/dag.css'; +import 'reactflow/dist/style.css'; +import DJNode from '../../components/djgraph/DJNode'; +import dagre from 'dagre'; + +const getLayoutedElements = ( + nodes, + edges, + direction = 'LR', + nodeWidth = 600, +) => { + const dagreGraph = new dagre.graphlib.Graph(); + dagreGraph.setDefaultEdgeLabel(() => ({})); + + const isHorizontal = direction === 'TB'; + dagreGraph.setGraph({ + rankdir: direction, + nodesep: 40, + ranksep: 10, + ranker: 'longest-path', + }); + const nodeHeightTracker = {}; + + nodes.forEach(node => { + const minColumnsLength = node.data.column_names.filter( + col => col.order > 0, + ).length; + nodeHeightTracker[node.id] = Math.min(minColumnsLength, 5) * 40 + 250; + dagreGraph.setNode(node.id, { + width: nodeWidth, + height: nodeHeightTracker[node.id], + }); + }); + + edges.forEach(edge => { + dagreGraph.setEdge(edge.source, edge.target); + }); + + dagre.layout(dagreGraph); + + nodes.forEach(node => { + const nodeWithPosition = dagreGraph.node(node.id); + node.targetPosition = isHorizontal ? 'left' : 'top'; + node.sourcePosition = isHorizontal ? 'right' : 'bottom'; + node.position = { + x: nodeWithPosition.x - nodeWidth / 2, + y: nodeWithPosition.y - nodeHeightTracker[node.id] / 3, + }; + node.width = nodeWidth; + node.height = nodeHeightTracker[node.id]; + return node; + }); + + return { nodes: nodes, edges: edges }; +}; + +const LayoutFlow = (djNode, saveGraph) => { + const nodeTypes = useMemo(() => ({ DJNode: DJNode }), []); + + // These are used internally by ReactFlow (to update the nodes on the ReactFlow pane) + const [nodes, setNodes, onNodesChange] = useNodesState([]); + const [edges, setEdges, onEdgesChange] = useEdgesState([]); + + const minimapStyle = { + height: 100, + width: 150, + }; + + useEffect(() => { + saveGraph(getLayoutedElements, setNodes, setEdges).catch(console.error); + }, [djNode]); + + const onConnect = useCallback( + params => setEdges(eds => addEdge(params, eds)), + [setEdges], + ); + return ( +
+ + + + + +
+ ); +}; +export default LayoutFlow; diff --git a/datajunction-ui/src/app/components/djgraph/__tests__/Collapse.test.jsx b/datajunction-ui/src/app/components/djgraph/__tests__/Collapse.test.jsx new file mode 100644 index 000000000..51584a34a --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/__tests__/Collapse.test.jsx @@ -0,0 +1,54 @@ +import React from 'react'; +import { render, fireEvent, screen, waitFor } from '@testing-library/react'; +import Collapse from '../Collapse'; +import { mocks } from '../../../../mocks/mockNodes'; +import { ReactFlowProvider } from 'reactflow'; + +jest.mock('../DJNodeDimensions', () => ({ + DJNodeDimensions: jest.fn(data =>
DJNodeDimensions content
), +})); + +describe('', () => { + const defaultProps = { + collapsed: true, + text: 'Dimensions', + data: mocks.mockMetricNode, + }; + + it('renders without crashing', () => { + render(); + }); + + it('renders toggle for metric type', () => { + const { getByText } = render( + , + ); + const button = screen.getByText('▶ Show Dimensions'); + fireEvent.click(button); + expect(getByText('▼ Hide Dimensions')).toBeInTheDocument(); + }); + + it('toggles More/Less button text for non-metric type on click', () => { + defaultProps.text = 'Columns'; + const { getByText } = render( + + ({ + name: `column_${idx}`, + type: 'string', + order: idx, + })), + primary_key: [], + }} + /> + , + ); + const button = getByText('▶ More Columns'); + fireEvent.click(button); + expect(getByText('▼ Less Columns')).toBeInTheDocument(); + }); +}); diff --git a/datajunction-ui/src/app/components/djgraph/__tests__/DJNode.test.tsx b/datajunction-ui/src/app/components/djgraph/__tests__/DJNode.test.tsx new file mode 100644 index 000000000..2dc5baf7c --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/__tests__/DJNode.test.tsx @@ -0,0 +1,60 @@ +import * as React from 'react'; +import { createRenderer } from 'react-test-renderer/shallow'; + +import { DJNode } from '../DJNode'; + +const renderer = createRenderer(); + +describe('', () => { + it('should render and match the snapshot', () => { + renderer.render( + , + ); + const renderedOutput = renderer.getRenderOutput(); + expect(renderedOutput).toMatchSnapshot(); + }); + + it('should render with is_current true and non-metric type (collapsed=false)', () => { + renderer.render( + , + ); + const renderedOutput = renderer.getRenderOutput(); + expect(renderedOutput).toBeTruthy(); + }); + + it('should render with metric type (collapsed=true)', () => { + renderer.render( + , + ); + const renderedOutput = renderer.getRenderOutput(); + expect(renderedOutput).toBeTruthy(); + }); +}); diff --git a/datajunction-ui/src/app/components/djgraph/__tests__/DJNodeColumns.test.jsx b/datajunction-ui/src/app/components/djgraph/__tests__/DJNodeColumns.test.jsx new file mode 100644 index 000000000..757b99379 --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/__tests__/DJNodeColumns.test.jsx @@ -0,0 +1,83 @@ +import React from 'react'; +import { render, screen } from '@testing-library/react'; +import { DJNodeColumns } from '../DJNodeColumns'; +import { ReactFlowProvider } from 'reactflow'; + +describe('', () => { + const defaultProps = { + data: { + name: 'TestName', + type: 'metric', + column_names: [ + { name: 'col1', type: 'int' }, + { name: 'col2', type: 'string' }, + { name: 'col3', type: 'float' }, + ], + primary_key: ['col1'], + }, + limit: 10, + }; + + const domTestingLib = require('@testing-library/dom'); + const { queryHelpers } = domTestingLib; + + const queryByAttribute = attribute => + queryHelpers.queryAllByAttribute.bind(null, attribute); + + function getByAttribute(container, id, attribute, ...rest) { + const result = queryByAttribute(attribute)(container, id, ...rest); + return result[0]; + } + + function DJNodeColumnsWithProvider(props) { + return ( + + + + ); + } + + it('renders without crashing', () => { + render(); + }); + + it('renders columns correctly', () => { + const { container } = render( + , + ); + + // renders column names + defaultProps.data.column_names.forEach(col => { + expect(screen.getByText(col.name, { exact: false })).toBeInTheDocument(); + }); + + // appends (PK) to primary key column name + expect(screen.getByText('col1 (PK)')).toBeInTheDocument(); + + // renders column type badge correctly + defaultProps.data.column_names.forEach(col => { + expect(screen.getByText(col.type)).toBeInTheDocument(); + }); + + // renders handles correctly + defaultProps.data.column_names.forEach(col => { + expect( + getByAttribute( + container, + defaultProps.data.name + '.' + col.name, + 'data-handleid', + ), + ).toBeInTheDocument(); + }); + }); + + it('renders limited columns based on the limit prop', () => { + const limitedProps = { + ...defaultProps, + limit: 2, + }; + + render(); + expect(screen.queryByText('col3')).not.toBeInTheDocument(); + }); +}); diff --git a/datajunction-ui/src/app/components/djgraph/__tests__/DJNodeDimensions.test.jsx b/datajunction-ui/src/app/components/djgraph/__tests__/DJNodeDimensions.test.jsx new file mode 100644 index 000000000..05e9c7fec --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/__tests__/DJNodeDimensions.test.jsx @@ -0,0 +1,118 @@ +import React from 'react'; +import { render, screen, waitFor } from '@testing-library/react'; +import { DJNodeDimensions } from '../DJNodeDimensions'; +import DJClientContext from '../../../providers/djclient'; + +const mockMetric = jest.fn(); +describe('', () => { + const defaultProps = { + type: 'metric', + name: 'TestMetric', + }; + const mockDJClient = () => { + return { + DataJunctionAPI: { + metric: mockMetric, + }, + }; + }; + + const DJNodeDimensionsWithContext = (djClient, props) => { + return ( + + + + ); + }; + + beforeEach(() => { + // Reset the mock before each test + mockMetric.mockReset(); + }); + + it('fetches dimensions for metric type', async () => { + mockMetric.mockResolvedValueOnce({ + dimensions: [{ name: 'test.dimension' }], + }); + const djClient = mockDJClient(); + + render( + + + , + ); + waitFor(() => { + expect(mockMetric).toHaveBeenCalledWith(defaultProps.name); + }); + }); + + it('renders dimensions correctly after processing', async () => { + const testDimensions = [ + { + name: 'default.us_state.state_name', + type: 'string', + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.state', + ], + }, + { + name: 'default.us_state.state_region', + type: 'int', + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.state', + ], + }, + { + name: 'default.us_state.state_region_description', + type: 'string', + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.state', + ], + }, + ]; + mockMetric.mockResolvedValueOnce({ dimensions: testDimensions }); + const djClient = mockDJClient(); + + const { findByText } = render( + + + , + ); + + for (const dim of testDimensions) { + const [attribute, ...nodeName] = dim.name.split('.').reverse(); + const dimension = nodeName.reverse().join('.'); + expect(await findByText(attribute)).toBeInTheDocument(); + expect(await findByText(dimension)).toBeInTheDocument(); + } + }); + + it('does not fetch dimensions if type is not metric', () => { + const djClient = mockDJClient(); + render( + + + , + ); + expect(mockMetric).not.toHaveBeenCalled(); + }); + + it('handles errors gracefully', async () => { + mockMetric.mockRejectedValueOnce(new Error('API error')); + + const djClient = mockDJClient(); + render( + + + , + ); + + expect(await mockMetric).toHaveBeenCalledWith(defaultProps.name); + }); +}); diff --git a/datajunction-ui/src/app/components/djgraph/__tests__/__snapshots__/DJNode.test.tsx.snap b/datajunction-ui/src/app/components/djgraph/__tests__/__snapshots__/DJNode.test.tsx.snap new file mode 100644 index 000000000..dc168caf5 --- /dev/null +++ b/datajunction-ui/src/app/components/djgraph/__tests__/__snapshots__/DJNode.test.tsx.snap @@ -0,0 +1,117 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[` should render and match the snapshot 1`] = ` + +
+
+ +
+
+
+ shared ▶ dimensions +
+
+
+ + Source + +
+ + + +
+
+ +
+
+ +`; diff --git a/datajunction-ui/src/app/components/forms/Action.jsx b/datajunction-ui/src/app/components/forms/Action.jsx new file mode 100644 index 000000000..d23b2956c --- /dev/null +++ b/datajunction-ui/src/app/components/forms/Action.jsx @@ -0,0 +1,8 @@ +export class Action { + static Add = new Action('add'); + static Edit = new Action('edit'); + + constructor(name) { + this.name = name; + } +} diff --git a/datajunction-ui/src/app/components/forms/NodeNameField.jsx b/datajunction-ui/src/app/components/forms/NodeNameField.jsx new file mode 100644 index 000000000..4ce2655d8 --- /dev/null +++ b/datajunction-ui/src/app/components/forms/NodeNameField.jsx @@ -0,0 +1,64 @@ +import { ErrorMessage, Field } from 'formik'; +import { FormikSelect } from '../../pages/AddEditNodePage/FormikSelect'; +import { FullNameField } from '../../pages/AddEditNodePage/FullNameField'; +import React, { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; +import { useParams } from 'react-router-dom'; + +/* + * This component creates the namespace selector, display name input, and + * derived name fields in a form. It can be reused any time we need to create + * a new node. + */ + +export default function NodeNameField() { + const [namespaces, setNamespaces] = useState([]); + const djClient = useContext(DJClientContext).DataJunctionAPI; + let { initialNamespace } = useParams(); + + useEffect(() => { + const fetchData = async () => { + const namespaces = await djClient.namespaces(); + setNamespaces( + namespaces.map(m => ({ + value: m['namespace'], + label: m['namespace'], + })), + ); + }; + fetchData().catch(console.error); + }, [djClient, djClient.metrics]); + + return ( + <> +
+ + + +
+
+ + + +
+
+ + + +
+ + ); +} diff --git a/datajunction-ui/src/app/components/search.css b/datajunction-ui/src/app/components/search.css new file mode 100644 index 000000000..94a80aa36 --- /dev/null +++ b/datajunction-ui/src/app/components/search.css @@ -0,0 +1,17 @@ +.search-box { + display: flex; + height: 50%; +} + +.search-results { + position: absolute; + z-index: 1000; + width: 75%; + background-color: rgba(244, 244, 244, 0.8); + border-radius: 1rem; +} + +.search-result-item { + text-decoration: wavy; + padding: 0.5rem; +} diff --git a/datajunction-ui/src/app/constants.js b/datajunction-ui/src/app/constants.js new file mode 100644 index 000000000..40b794e46 --- /dev/null +++ b/datajunction-ui/src/app/constants.js @@ -0,0 +1,2 @@ +export const AUTH_COOKIE = '__dj'; +export const LOGGED_IN_FLAG_COOKIE = '__djlif'; diff --git a/datajunction-ui/src/app/icons/AddItemIcon.jsx b/datajunction-ui/src/app/icons/AddItemIcon.jsx new file mode 100644 index 000000000..d0ee68b24 --- /dev/null +++ b/datajunction-ui/src/app/icons/AddItemIcon.jsx @@ -0,0 +1,16 @@ +const AddItemIcon = props => ( + + + +); +export default AddItemIcon; diff --git a/datajunction-ui/src/app/icons/AlertIcon.jsx b/datajunction-ui/src/app/icons/AlertIcon.jsx new file mode 100644 index 000000000..03fe1a29a --- /dev/null +++ b/datajunction-ui/src/app/icons/AlertIcon.jsx @@ -0,0 +1,33 @@ +const AlertIcon = props => ( + + alert_fill + + + + + + + + + +); +export default AlertIcon; diff --git a/datajunction-ui/src/app/icons/CollapsedIcon.jsx b/datajunction-ui/src/app/icons/CollapsedIcon.jsx new file mode 100644 index 000000000..53318555d --- /dev/null +++ b/datajunction-ui/src/app/icons/CollapsedIcon.jsx @@ -0,0 +1,15 @@ +const CollapsedIcon = props => ( + + + +); + +export default CollapsedIcon; diff --git a/datajunction-ui/src/app/icons/CommitIcon.jsx b/datajunction-ui/src/app/icons/CommitIcon.jsx new file mode 100644 index 000000000..7fa685915 --- /dev/null +++ b/datajunction-ui/src/app/icons/CommitIcon.jsx @@ -0,0 +1,45 @@ +import * as React from 'react'; + +const CommitIcon = props => ( + + + + + + +); +export default CommitIcon; diff --git a/datajunction-ui/src/app/icons/DJLogo.jsx b/datajunction-ui/src/app/icons/DJLogo.jsx new file mode 100644 index 000000000..bbb28e157 --- /dev/null +++ b/datajunction-ui/src/app/icons/DJLogo.jsx @@ -0,0 +1,36 @@ +const DJLogo = props => ( + + + + + + + + + + +); +export default DJLogo; diff --git a/datajunction-ui/src/app/icons/DeleteIcon.jsx b/datajunction-ui/src/app/icons/DeleteIcon.jsx new file mode 100644 index 000000000..e754e69c4 --- /dev/null +++ b/datajunction-ui/src/app/icons/DeleteIcon.jsx @@ -0,0 +1,21 @@ +const DeleteIcon = props => ( + + + + + + +); + +export default DeleteIcon; diff --git a/datajunction-ui/src/app/icons/DiffIcon.jsx b/datajunction-ui/src/app/icons/DiffIcon.jsx new file mode 100644 index 000000000..2c91f8f65 --- /dev/null +++ b/datajunction-ui/src/app/icons/DiffIcon.jsx @@ -0,0 +1,63 @@ +const DiffIcon = props => ( + + + + + + + + + +); +export default DiffIcon; diff --git a/datajunction-ui/src/app/icons/EditIcon.jsx b/datajunction-ui/src/app/icons/EditIcon.jsx new file mode 100644 index 000000000..36a2dbbb6 --- /dev/null +++ b/datajunction-ui/src/app/icons/EditIcon.jsx @@ -0,0 +1,18 @@ +const EditIcon = props => ( + + + + +); +export default EditIcon; diff --git a/datajunction-ui/src/app/icons/ExpandedIcon.jsx b/datajunction-ui/src/app/icons/ExpandedIcon.jsx new file mode 100644 index 000000000..bfa45e140 --- /dev/null +++ b/datajunction-ui/src/app/icons/ExpandedIcon.jsx @@ -0,0 +1,15 @@ +const ExpandedIcon = props => ( + + + +); + +export default ExpandedIcon; diff --git a/datajunction-ui/src/app/icons/EyeIcon.jsx b/datajunction-ui/src/app/icons/EyeIcon.jsx new file mode 100644 index 000000000..85fe7f6ef --- /dev/null +++ b/datajunction-ui/src/app/icons/EyeIcon.jsx @@ -0,0 +1,20 @@ +const EyeIcon = props => ( + + + + +); + +export default EyeIcon; diff --git a/datajunction-ui/src/app/icons/HorizontalHierarchyIcon.jsx b/datajunction-ui/src/app/icons/HorizontalHierarchyIcon.jsx new file mode 100644 index 000000000..183897cae --- /dev/null +++ b/datajunction-ui/src/app/icons/HorizontalHierarchyIcon.jsx @@ -0,0 +1,15 @@ +const HorizontalHierarchyIcon = props => ( + + + +); + +export default HorizontalHierarchyIcon; diff --git a/datajunction-ui/src/app/icons/InvalidIcon.jsx b/datajunction-ui/src/app/icons/InvalidIcon.jsx new file mode 100644 index 000000000..841f5e67d --- /dev/null +++ b/datajunction-ui/src/app/icons/InvalidIcon.jsx @@ -0,0 +1,16 @@ +const InvalidIcon = ({ width = '25px', height = '25px', style = {} }) => ( + + + +); + +export default InvalidIcon; diff --git a/datajunction-ui/src/app/icons/JupyterExportIcon.jsx b/datajunction-ui/src/app/icons/JupyterExportIcon.jsx new file mode 100644 index 000000000..ad8b0763e --- /dev/null +++ b/datajunction-ui/src/app/icons/JupyterExportIcon.jsx @@ -0,0 +1,25 @@ +const JupyterExportIcon = props => ( + + {/* Notebook outline */} + + + {/* Notebook lines */} + + + + +); + +export default JupyterExportIcon; diff --git a/datajunction-ui/src/app/icons/LoadingIcon.jsx b/datajunction-ui/src/app/icons/LoadingIcon.jsx new file mode 100644 index 000000000..ae3390e30 --- /dev/null +++ b/datajunction-ui/src/app/icons/LoadingIcon.jsx @@ -0,0 +1,14 @@ +import '../../styles/loading.css'; + +export default function LoadingIcon({ centered = true }) { + const content = ( +
+
+
+
+
+
+ ); + + return centered ?
{content}
: content; +} diff --git a/datajunction-ui/src/app/icons/NodeIcon.jsx b/datajunction-ui/src/app/icons/NodeIcon.jsx new file mode 100644 index 000000000..c711e49c3 --- /dev/null +++ b/datajunction-ui/src/app/icons/NodeIcon.jsx @@ -0,0 +1,49 @@ +const NodeIcon = ({ + width = '45px', + height = '45px', + color = '#cccccc', + style = {}, +}) => ( + + + + + + + + +); + +export default NodeIcon; diff --git a/datajunction-ui/src/app/icons/NotificationIcon.jsx b/datajunction-ui/src/app/icons/NotificationIcon.jsx new file mode 100644 index 000000000..4b5f4438d --- /dev/null +++ b/datajunction-ui/src/app/icons/NotificationIcon.jsx @@ -0,0 +1,27 @@ +const NotificationIcon = props => ( + + + + + + +); +export default NotificationIcon; diff --git a/datajunction-ui/src/app/icons/PythonIcon.jsx b/datajunction-ui/src/app/icons/PythonIcon.jsx new file mode 100644 index 000000000..59df0f785 --- /dev/null +++ b/datajunction-ui/src/app/icons/PythonIcon.jsx @@ -0,0 +1,14 @@ +const PythonIcon = props => ( + + + +); + +export default PythonIcon; diff --git a/datajunction-ui/src/app/icons/SettingsIcon.jsx b/datajunction-ui/src/app/icons/SettingsIcon.jsx new file mode 100644 index 000000000..408a51fed --- /dev/null +++ b/datajunction-ui/src/app/icons/SettingsIcon.jsx @@ -0,0 +1,28 @@ +const SettingsIcon = props => ( + + + + + +); +export default SettingsIcon; diff --git a/datajunction-ui/src/app/icons/TableIcon.jsx b/datajunction-ui/src/app/icons/TableIcon.jsx new file mode 100644 index 000000000..e56776ec4 --- /dev/null +++ b/datajunction-ui/src/app/icons/TableIcon.jsx @@ -0,0 +1,14 @@ +const TableIcon = props => ( + + + +); + +export default TableIcon; diff --git a/datajunction-ui/src/app/icons/ValidIcon.jsx b/datajunction-ui/src/app/icons/ValidIcon.jsx new file mode 100644 index 000000000..b5f22a6e6 --- /dev/null +++ b/datajunction-ui/src/app/icons/ValidIcon.jsx @@ -0,0 +1,16 @@ +const ValidIcon = ({ width = '25px', height = '25px', style = {} }) => ( + + + +); + +export default ValidIcon; diff --git a/datajunction-ui/src/app/icons/__tests__/Icons.test.jsx b/datajunction-ui/src/app/icons/__tests__/Icons.test.jsx new file mode 100644 index 000000000..069fb93c6 --- /dev/null +++ b/datajunction-ui/src/app/icons/__tests__/Icons.test.jsx @@ -0,0 +1,24 @@ +import * as React from 'react'; +import { render, screen } from '@testing-library/react'; + +import CommitIcon from '../CommitIcon'; +import InvalidIcon from '../InvalidIcon'; + +describe('Icon components', () => { + it('should render CommitIcon with default props', () => { + render(); + expect(document.querySelector('svg')).toBeInTheDocument(); + }); + + it('should render InvalidIcon with default props', () => { + render(); + expect(screen.getByTestId('invalid-icon')).toBeInTheDocument(); + }); + + it('should render InvalidIcon with custom props', () => { + render(); + const icon = screen.getByTestId('invalid-icon'); + expect(icon).toHaveAttribute('width', '50px'); + expect(icon).toHaveAttribute('height', '50px'); + }); +}); diff --git a/datajunction-ui/src/app/index.tsx b/datajunction-ui/src/app/index.tsx new file mode 100644 index 000000000..483101953 --- /dev/null +++ b/datajunction-ui/src/app/index.tsx @@ -0,0 +1,163 @@ +/** + * This component is the skeleton around the actual pages, and only contains + * components that should be seen on all pages, like the logo or navigation bar. + */ + +import * as React from 'react'; +import { Helmet } from 'react-helmet-async'; +import { BrowserRouter, Routes, Route } from 'react-router-dom'; + +import { NamespacePage } from './pages/NamespacePage/Loadable'; +import { OverviewPage } from './pages/OverviewPage/Loadable'; +import { SettingsPage } from './pages/SettingsPage/Loadable'; +import { NotificationsPage } from './pages/NotificationsPage/Loadable'; +import { NodePage } from './pages/NodePage/Loadable'; +import RevisionDiff from './pages/NodePage/RevisionDiff'; +import { SQLBuilderPage } from './pages/SQLBuilderPage/Loadable'; +import { CubeBuilderPage } from './pages/CubeBuilderPage/Loadable'; +import { QueryPlannerPage } from './pages/QueryPlannerPage/Loadable'; +import { TagPage } from './pages/TagPage/Loadable'; +import { AddEditNodePage } from './pages/AddEditNodePage/Loadable'; +import { AddEditTagPage } from './pages/AddEditTagPage/Loadable'; +import { NotFoundPage } from './pages/NotFoundPage/Loadable'; +import { LoginPage } from './pages/LoginPage'; +import { RegisterTablePage } from './pages/RegisterTablePage'; +import { Root } from './pages/Root'; +import DJClientContext from './providers/djclient'; +import { UserProvider } from './providers/UserProvider'; +import { DataJunctionAPI } from './services/DJService'; +import { CookiesProvider, useCookies } from 'react-cookie'; +import * as Constants from './constants'; + +export function App() { + const [cookies] = useCookies([Constants.LOGGED_IN_FLAG_COOKIE]); + return ( + + + {cookies.__djlif || process.env.REACT_DISABLE_AUTH === 'true' ? ( + <> + + + + + + + } + children={ + <> + + } /> + } + /> + } + /> + } + /> + } /> + + + } + key="index" + /> + + } + key="namespaces" + /> + + } + > + } + > + + } + /> + } + /> + + + } + /> + } + /> + + } + /> + } + /> + + } /> + + } + /> + } + /> + } + /> + + } + /> + } /> + + + + + ) : ( + + )} + + + ); +} diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/AlertMessage.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/AlertMessage.jsx new file mode 100644 index 000000000..f143dce40 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/AlertMessage.jsx @@ -0,0 +1,10 @@ +import AlertIcon from '../../icons/AlertIcon'; + +export const AlertMessage = ({ message }) => { + return ( +
+ + {message} +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/ColumnsSelect.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/ColumnsSelect.jsx new file mode 100644 index 000000000..8127ced4a --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/ColumnsSelect.jsx @@ -0,0 +1,84 @@ +/** + * Component for selecting node columns based on the current form state + */ +import { ErrorMessage, useFormikContext } from 'formik'; +import { useContext, useMemo, useState, useEffect } from 'react'; +import DJClientContext from '../../providers/djclient'; +import { FormikSelect } from './FormikSelect'; + +export const ColumnsSelect = ({ + defaultValue, + fieldName, + label, + labelStyle = {}, + isMulti = false, + isClearable = true, +}) => { + const djClient = useContext(DJClientContext).DataJunctionAPI; + + // Used to pull out current form values for node validation + const { values } = useFormikContext(); + + // The available columns, determined from validating the node query + const [availableColumns, setAvailableColumns] = useState([]); + const selectableOptions = useMemo(() => { + if (availableColumns && availableColumns.length > 0) { + return availableColumns; + } + }, [availableColumns]); + + // Fetch columns by validating the latest node query + const fetchColumns = async () => { + try { + const { status, json } = await djClient.validateNode( + values.type, + values.name, + values.display_name, + values.description, + values.query, + ); + if (json?.columns) { + setAvailableColumns( + json.columns.map(col => ({ value: col.name, label: col.name })), + ); + } + } catch (error) { + console.error('Error fetching columns:', error); + } + }; + + useEffect(() => { + fetchColumns(); + }, [values.type, values.name, values.query]); + + return ( +
+ + + + { + return { + value: val, + label: val, + }; + }) + : defaultValue + ? { value: defaultValue, label: defaultValue } + : null + } + selectOptions={selectableOptions} + formikFieldName={fieldName} + onFocus={event => fetchColumns(event)} + isMulti={isMulti} + isClearable={isClearable} + /> + +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/CustomMetadataField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/CustomMetadataField.jsx new file mode 100644 index 000000000..2f45b0a4a --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/CustomMetadataField.jsx @@ -0,0 +1,144 @@ +/** + * Custom metadata field component for nodes + */ +import { ErrorMessage, Field, useFormikContext } from 'formik'; +import CodeMirror from '@uiw/react-codemirror'; +import { langs } from '@uiw/codemirror-extensions-langs'; +import { useState, useEffect } from 'react'; + +export const CustomMetadataField = ({ value }) => { + const formik = useFormikContext(); + const jsonExt = langs.json(); + const [hasError, setHasError] = useState(false); + + useEffect(() => { + if (!value || value === '') { + setHasError(false); + return; + } + + const stringValue = + typeof value === 'string' ? value : JSON.stringify(value, null, 2); + + try { + JSON.parse(stringValue); + setHasError(false); + } catch (err) { + setHasError(true); + } + }, [value]); + + const formatValue = value => { + if (value === null || value === undefined) { + return ''; + } + if (typeof value === 'string') { + return value; + } + return JSON.stringify(value, null, 2); + }; + + const updateFormik = val => { + formik.setFieldValue('custom_metadata', val); + formik.setFieldTouched('custom_metadata', true); + + if (!val || val.trim() === '') { + setHasError(false); + } else { + try { + JSON.parse(val); + setHasError(false); + } catch (err) { + setHasError(true); + } + } + }; + + return ( +
+
+ + + + + { + if (!value || value.trim() === '') { + return undefined; + } + try { + const parsed = JSON.parse(value); + + if ( + typeof parsed === 'object' && + parsed !== null && + !Array.isArray(parsed) + ) { + const keys = Object.keys(parsed); + const originalKeyMatches = value.match(/"([^"]+)"\s*:/g); + if ( + originalKeyMatches && + originalKeyMatches.length > keys.length + ) { + return 'Duplicate keys detected'; + } + } + + return undefined; + } catch (err) { + return 'Invalid JSON format'; + } + }} + /> +
+ { + updateFormik(value); + }} + /> +
+
+
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/DescriptionField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/DescriptionField.jsx new file mode 100644 index 000000000..04714d5d1 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/DescriptionField.jsx @@ -0,0 +1,17 @@ +import { ErrorMessage, Field } from 'formik'; + +export const DescriptionField = () => { + return ( +
+ + + +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/DisplayNameField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/DisplayNameField.jsx new file mode 100644 index 000000000..f66d6f6d6 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/DisplayNameField.jsx @@ -0,0 +1,16 @@ +import { ErrorMessage, Field } from 'formik'; + +export const DisplayNameField = () => { + return ( +
+ + + +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/FormikSelect.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/FormikSelect.jsx new file mode 100644 index 000000000..9390601da --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/FormikSelect.jsx @@ -0,0 +1,64 @@ +/** + * A React Select component for use in Formik forms. + */ +import { useField } from 'formik'; +import Select from 'react-select'; + +export const FormikSelect = ({ + selectOptions, + formikFieldName, + placeholder, + defaultValue, + style, + className = 'SelectInput', + isMulti = false, + isClearable = false, + onFocus = event => {}, + onChange: customOnChange, + menuPortalTarget, + styles, + ...rest +}) => { + // eslint-disable-next-line no-unused-vars + const [field, _, helpers] = useField(formikFieldName); + const { setValue } = helpers; + + // handles both multi-select and single-select cases + const getValue = options => { + if (options) { + return isMulti ? options.map(option => option.value) : options.value; + } else { + return isMulti ? [] : ''; + } + }; + + const handleChange = selected => { + setValue(getValue(selected)); + if (customOnChange) { + customOnChange(selected); + } + }; + + return ( + + {!!meta.touched && !!meta.error &&
{meta.error}
} + + ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/Loadable.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/Loadable.jsx new file mode 100644 index 000000000..4b79131ee --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/Loadable.jsx @@ -0,0 +1,20 @@ +/** + * Asynchronously loads the component for the Node page + */ + +import * as React from 'react'; +import { lazyLoad } from '../../../utils/loadable'; + +export const LazyAddEditNodePage = props => { + return lazyLoad( + () => import('./index'), + module => module.AddEditNodePage, + { + fallback:
, + }, + )(props); +}; + +export const AddEditNodePage = props => { + return ; +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/MetricMetadataFields.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/MetricMetadataFields.jsx new file mode 100644 index 000000000..69eba7632 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/MetricMetadataFields.jsx @@ -0,0 +1,75 @@ +/** + * Metric unit select component + */ +import { ErrorMessage, Field } from 'formik'; +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; +import { labelize } from '../../../utils/form'; + +export const MetricMetadataFields = () => { + const djClient = useContext(DJClientContext).DataJunctionAPI; + + // Metric metadata + const [metricUnits, setMetricUnits] = useState([]); + const [metricDirections, setMetricDirections] = useState([]); + + // Get metric metadata values + useEffect(() => { + const fetchData = async () => { + const metadata = await djClient.listMetricMetadata(); + setMetricDirections(metadata.directions); + setMetricUnits(metadata.units); + }; + fetchData().catch(console.error); + }, [djClient]); + + return ( +
+
+ + + + + {metricDirections.map(direction => ( + + ))} + +
+
+ + + + + {metricUnits.map(unit => ( + + ))} + +
+
+ + + + + {[1, 2, 3, 4, 5, 6, 7, 8, 9, 10].map(val => ( + + ))} + +
+
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/MetricQueryField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/MetricQueryField.jsx new file mode 100644 index 000000000..4d2bbfc07 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/MetricQueryField.jsx @@ -0,0 +1,120 @@ +/** + * Metric aggregate expression input field, which consists of a CodeMirror SQL + * editor with autocompletion for node columns and syntax highlighting. + * + * Supports both: + * - Regular metrics: autocomplete from upstream node columns + * - Derived metrics: autocomplete from available metric names + */ +import React from 'react'; +import { ErrorMessage, Field, useFormikContext } from 'formik'; +import CodeMirror from '@uiw/react-codemirror'; +import { langs } from '@uiw/codemirror-extensions-langs'; + +export const MetricQueryField = ({ djClient, value }) => { + const [schema, setSchema] = React.useState({}); + const [availableMetrics, setAvailableMetrics] = React.useState([]); + const formik = useFormikContext(); + const sqlExt = langs.sql({ schema: schema }); + + // Load available metrics for derived metric autocomplete + React.useEffect(() => { + async function fetchMetrics() { + try { + const metrics = await djClient.metrics(); + setAvailableMetrics(metrics || []); + } catch (err) { + console.error('Failed to load metrics for autocomplete:', err); + } + } + fetchMetrics(); + }, [djClient]); + + const initialAutocomplete = async context => { + const newSchema = {}; + const nodeName = formik.values['upstream_node']; + + // If an upstream node is selected, load its columns for regular metrics + if (nodeName && nodeName.trim() !== '') { + try { + const nodeDetails = await djClient.node(nodeName); + if (nodeDetails && nodeDetails.columns) { + nodeDetails.columns.forEach(col => { + newSchema[col.name] = []; + }); + } + } catch (err) { + console.error('Failed to load upstream node columns:', err); + } + } + + // Always include available metrics for derived metric expressions + availableMetrics.forEach(metricName => { + newSchema[metricName] = []; + }); + + setSchema(newSchema); + }; + + const updateFormik = val => { + formik.setFieldValue('aggregate_expression', val); + }; + + // Determine the label and help text based on whether upstream is selected + const upstreamNode = formik.values['upstream_node']; + const isDerivedMode = !upstreamNode || upstreamNode.trim() === ''; + const labelText = isDerivedMode + ? 'Derived Metric Expression *' + : 'Aggregate Expression *'; + const helpText = isDerivedMode + ? 'Reference other metrics using their full names (e.g., namespace.metric_name / namespace.other_metric)' + : 'Use aggregate functions on columns from the upstream node (e.g., SUM(column_name))'; + + return ( +
+ + +

+ {helpText} +

+ +
+ { + updateFormik(value); + }} + /> +
+
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/NamespaceField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/NamespaceField.jsx new file mode 100644 index 000000000..690d91f93 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/NamespaceField.jsx @@ -0,0 +1,40 @@ +import { ErrorMessage } from 'formik'; +import { FormikSelect } from './FormikSelect'; +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; + +export const NamespaceField = ({ initialNamespace }) => { + const djClient = useContext(DJClientContext).DataJunctionAPI; + + const [namespaces, setNamespaces] = useState([]); + + // Get namespaces, only necessary when creating a node + useEffect(() => { + const fetchData = async () => { + const namespaces = await djClient.namespaces(); + setNamespaces( + namespaces.map(m => ({ + value: m['namespace'], + label: m['namespace'], + })), + ); + }; + fetchData().catch(console.error); + }, [djClient]); + + return ( +
+ + + +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/NodeModeField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/NodeModeField.jsx new file mode 100644 index 000000000..96eb26667 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/NodeModeField.jsx @@ -0,0 +1,14 @@ +import { ErrorMessage, Field } from 'formik'; + +export const NodeModeField = () => { + return ( +
+ + + + + + +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/NodeQueryField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/NodeQueryField.jsx new file mode 100644 index 000000000..01a7fbc6d --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/NodeQueryField.jsx @@ -0,0 +1,94 @@ +/** + * SQL query input field, which consists of a CodeMirror SQL editor with autocompletion + * (for node names and columns) and syntax highlighting. + */ +import React from 'react'; +import { ErrorMessage, Field, useFormikContext } from 'formik'; +import CodeMirror from '@uiw/react-codemirror'; +import { langs } from '@uiw/codemirror-extensions-langs'; + +export const NodeQueryField = ({ djClient, value }) => { + const [schema, setSchema] = React.useState([]); + const formik = useFormikContext(); + const sqlExt = langs.sql({ schema: schema }); + + const initialAutocomplete = async context => { + // Based on the parsed prefix, we load node names with that prefix + // into the autocomplete schema. At this stage we don't load the columns + // to save on unnecessary calls + const word = context.matchBefore(/[\.\w]*/); + const matches = await djClient.nodes(word.text); + matches.forEach(nodeName => { + if (schema[nodeName] === undefined) { + schema[nodeName] = []; + setSchema(schema); + } + }); + }; + + const updateFormik = val => { + formik.setFieldValue('query', val); + }; + + const updateAutocomplete = async (value, _) => { + // If a particular node has been chosen, load the columns of that node into + // the autocomplete schema for column-level autocompletion + for (var nodeName in schema) { + if ( + value.includes(nodeName) && + (!schema.hasOwnProperty(nodeName) || + (schema.hasOwnProperty(nodeName) && schema[nodeName].length === 0)) + ) { + const nodeDetails = await djClient.node(nodeName); + schema[nodeName] = nodeDetails.columns.map(col => col.name); + setSchema(schema); + } + } + }; + + return ( +
+ + + +
+ { + updateFormik(value); + updateAutocomplete(value, viewUpdate); + }} + /> +
+
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/OwnersField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/OwnersField.jsx new file mode 100644 index 000000000..9b7fc17d2 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/OwnersField.jsx @@ -0,0 +1,53 @@ +/** + * Owner select field + */ +import { ErrorMessage } from 'formik'; +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; +import { useCurrentUser } from '../../providers/UserProvider'; +import { FormikSelect } from './FormikSelect'; + +export const OwnersField = ({ defaultValue }) => { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const { currentUser } = useCurrentUser(); + + const [availableUsers, setAvailableUsers] = useState([]); + + useEffect(() => { + async function fetchData() { + const users = await djClient.users(); + setAvailableUsers( + users.map(user => { + return { + value: user.username, + label: user.username, + }; + }), + ); + } + fetchData(); + }, [djClient]); + + return defaultValue || currentUser ? ( +
+ + + + + +
+ ) : ( + '' + ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/RequiredDimensionsSelect.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/RequiredDimensionsSelect.jsx new file mode 100644 index 000000000..b476baf21 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/RequiredDimensionsSelect.jsx @@ -0,0 +1,54 @@ +/** + * Required dimensions select component + */ +import { ErrorMessage, useFormikContext } from 'formik'; +import React, { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; +import { FormikSelect } from './FormikSelect'; + +export const RequiredDimensionsSelect = ({ + defaultValue, + style, + className = 'MultiSelectInput', +}) => { + const djClient = useContext(DJClientContext).DataJunctionAPI; + + // Used to pull out current form values for node validation + const { values } = useFormikContext(); + + // Select options, i.e., the available dimensions + const [selectOptions, setSelectOptions] = useState([]); + + useEffect(() => { + const fetchData = async () => { + if (values.upstream_node) { + const data = await djClient.node(values.upstream_node); + setSelectOptions( + data.columns.map(col => { + return { + value: col.name, + label: col.name, + }; + }), + ); + } + }; + fetchData().catch(console.error); + }, [djClient, values.upstream_node]); + + return ( +
+ + + +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/TagsField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/TagsField.jsx new file mode 100644 index 000000000..a8f760933 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/TagsField.jsx @@ -0,0 +1,47 @@ +/** + * Tags select field + */ +import { ErrorMessage } from 'formik'; +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; +import { FormikSelect } from './FormikSelect'; + +export const TagsField = ({ defaultValue }) => { + const djClient = useContext(DJClientContext).DataJunctionAPI; + + // All available tags + const [tags, setTags] = useState([]); + + useEffect(() => { + const fetchData = async () => { + const tags = await djClient.listTags(); + setTags( + tags.map(tag => ({ + value: tag.name, + label: tag.display_name, + })), + ); + }; + fetchData().catch(console.error); + }, [djClient]); + + return ( +
+ + + + + +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/UpstreamNodeField.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/UpstreamNodeField.jsx new file mode 100644 index 000000000..66fd55cad --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/UpstreamNodeField.jsx @@ -0,0 +1,61 @@ +/** + * Upstream node select field. + * + * For regular metrics: Select a source, transform, or dimension node. + * For derived metrics: Leave empty and reference other metrics directly in the expression. + */ +import { ErrorMessage } from 'formik'; +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; +import { FormikSelect } from './FormikSelect'; + +export const UpstreamNodeField = ({ defaultValue }) => { + const djClient = useContext(DJClientContext).DataJunctionAPI; + + // All available nodes (sources, transforms, dimensions) + const [availableNodes, setAvailableNodes] = useState([]); + + useEffect(() => { + async function fetchData() { + const sources = await djClient.nodesWithType('source'); + const transforms = await djClient.nodesWithType('transform'); + const dimensions = await djClient.nodesWithType('dimension'); + const nodes = sources.concat(transforms).concat(dimensions); + setAvailableNodes( + nodes.map(node => { + return { + value: node, + label: node, + }; + }), + ); + } + fetchData(); + }, [djClient]); + + return ( +
+ + +

+ Select a source, transform, or dimension for regular metrics. Leave + empty for derived metrics that reference other metrics + (e.g., namespace.metric_a / namespace.metric_b). +

+ + + +
+ ); +}; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/AddEditNodePageFormFailed.test.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/AddEditNodePageFormFailed.test.jsx new file mode 100644 index 000000000..d5cbd5b91 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/AddEditNodePageFormFailed.test.jsx @@ -0,0 +1,110 @@ +import React from 'react'; +import { fireEvent, screen, waitFor } from '@testing-library/react'; +import fetchMock from 'jest-fetch-mock'; +import userEvent from '@testing-library/user-event'; +import { + initializeMockDJClient, + renderCreateNode, + renderEditNode, + testElement, +} from './index.test'; +import { mocks } from '../../../../mocks/mockNodes'; + +describe('AddEditNodePage submission failed', () => { + beforeEach(() => { + fetchMock.resetMocks(); + jest.clearAllMocks(); + window.scrollTo = jest.fn(); + }); + + it('for creating a node', async () => { + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.createNode.mockReturnValue({ + status: 500, + json: { message: 'Some columns in the primary key [] were not found' }, + }); + mockDjClient.DataJunctionAPI.listTags.mockReturnValue([ + { name: 'purpose', display_name: 'Purpose' }, + { name: 'intent', display_name: 'Intent' }, + ]); + + const element = testElement(mockDjClient); + const { container } = renderCreateNode(element); + + await userEvent.type( + screen.getByLabelText('Display Name *'), + 'Some Test Metric', + ); + await userEvent.type( + screen.getByLabelText('Query *'), + 'SELECT * FROM test', + ); + await userEvent.click(screen.getByText('Create dimension')); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.createNode).toBeCalled(); + expect(mockDjClient.DataJunctionAPI.createNode).toBeCalledWith( + 'dimension', + 'default.some_test_metric', + 'Some Test Metric', + '', + 'SELECT * FROM test', + 'published', + 'default', + null, + undefined, + undefined, + undefined, + null, + ); + expect( + screen.getByText(/Some columns in the primary key \[] were not found/), + ).toBeInTheDocument(); + }); + + // After failed creation, it should return a failure message + expect(container.getElementsByClassName('alert')).toMatchSnapshot(); + }, 60000); + + it('for editing a node', async () => { + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.getNodeForEditing.mockReturnValue( + mocks.mockGetMetricNode, + ); + mockDjClient.DataJunctionAPI.patchNode.mockReturnValue({ + status: 500, + json: { message: 'Update failed' }, + }); + + mockDjClient.DataJunctionAPI.tagsNode.mockReturnValue({ + status: 404, + json: { message: 'Some tags were not found' }, + }); + + mockDjClient.DataJunctionAPI.listTags.mockReturnValue([ + { name: 'purpose', display_name: 'Purpose' }, + { name: 'intent', display_name: 'Intent' }, + ]); + + const element = testElement(mockDjClient); + renderEditNode(element); + + await userEvent.type(screen.getByLabelText('Display Name *'), '!!!'); + await userEvent.type(screen.getByLabelText('Description'), '!!!'); + await userEvent.click(screen.getByText('Save')); + await waitFor(async () => { + expect(mockDjClient.DataJunctionAPI.patchNode).toBeCalledTimes(1); + expect(mockDjClient.DataJunctionAPI.tagsNode).toBeCalled(); + expect(mockDjClient.DataJunctionAPI.tagsNode).toBeCalledWith( + 'default.num_repair_orders', + ['purpose'], + ); + expect(mockDjClient.DataJunctionAPI.tagsNode).toReturnWith({ + json: { message: 'Some tags were not found' }, + status: 404, + }); + + expect(await screen.getByText('Update failed')).toBeInTheDocument(); + }); + }, 60000); +}); diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/AddEditNodePageFormSuccess.test.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/AddEditNodePageFormSuccess.test.jsx new file mode 100644 index 000000000..c877f0cd7 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/AddEditNodePageFormSuccess.test.jsx @@ -0,0 +1,291 @@ +import React from 'react'; +import { fireEvent, screen, waitFor } from '@testing-library/react'; +import fetchMock from 'jest-fetch-mock'; +import userEvent from '@testing-library/user-event'; +import { + initializeMockDJClient, + renderCreateMetric, + renderCreateNode, + renderEditNode, + renderEditTransformNode, + testElement, +} from './index.test'; +import { mocks } from '../../../../mocks/mockNodes'; +import { render } from '../../../../setupTests'; +import { MemoryRouter, Route, Routes } from 'react-router-dom'; +import DJClientContext from '../../../providers/djclient'; +import { AddEditNodePage } from '../index'; + +describe('AddEditNodePage submission succeeded', () => { + beforeEach(() => { + fetchMock.resetMocks(); + jest.clearAllMocks(); + window.scrollTo = jest.fn(); + }); + + it('for creating a dimension/transform node', async () => { + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.createNode.mockReturnValue({ + status: 200, + json: { name: 'default.some_test_dim' }, + }); + + mockDjClient.DataJunctionAPI.tagsNode.mockReturnValue({ + status: 200, + json: { message: 'Success' }, + }); + + mockDjClient.DataJunctionAPI.listTags.mockReturnValue([ + { name: 'purpose', display_name: 'Purpose' }, + { name: 'intent', display_name: 'Intent' }, + ]); + + const element = testElement(mockDjClient); + const { container } = renderCreateNode(element); + + await userEvent.type( + screen.getByLabelText('Display Name *'), + 'Some Test Dim', + ); + await userEvent.type( + screen.getByLabelText('Query *'), + 'SELECT a, b, c FROM test', + ); + await userEvent.click(screen.getByText('Create dimension')); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.createNode).toBeCalled(); + expect(mockDjClient.DataJunctionAPI.createNode).toBeCalledWith( + 'dimension', + 'default.some_test_dim', + 'Some Test Dim', + '', + 'SELECT a, b, c FROM test', + 'published', + 'default', + null, + undefined, + undefined, + undefined, + null, + ); + expect(screen.getByText(/default.some_test_dim/)).toBeInTheDocument(); + }); + + // After successful creation, it should return a success message + expect(screen.getByTestId('success')).toHaveTextContent( + 'Successfully created node default.some_test_dim', + ); + }, 60000); + + it('for creating a metric node', async () => { + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.createNode.mockReturnValue({ + status: 200, + json: { name: 'default.some_test_metric' }, + }); + + mockDjClient.DataJunctionAPI.tagsNode.mockReturnValue({ + status: 200, + json: { message: 'Success' }, + }); + + mockDjClient.DataJunctionAPI.nodesWithType + .mockReturnValueOnce(['default.test1']) + .mockReturnValueOnce(['default.test2']) + .mockReturnValueOnce([]); + + mockDjClient.DataJunctionAPI.listTags.mockReturnValue([ + { name: 'purpose', display_name: 'Purpose' }, + { name: 'intent', display_name: 'Intent' }, + ]); + + mockDjClient.DataJunctionAPI.listMetricMetadata.mockReturnValue( + mocks.metricMetadata, + ); + + mockDjClient.DataJunctionAPI.whoami.mockReturnValue({ + id: 123, + username: 'test_user', + }); + + const element = testElement(mockDjClient); + const { container } = renderCreateMetric(element); + + await userEvent.type( + screen.getByLabelText('Display Name *'), + 'Some Test Metric', + ); + const selectUpstream = screen.getByTestId('select-upstream-node'); + fireEvent.keyDown(selectUpstream.firstChild, { key: 'ArrowDown' }); + fireEvent.click(screen.getByText('default.repair_orders')); + + await userEvent.type( + screen.getByLabelText('Aggregate Expression *'), + 'SUM(a)', + ); + await userEvent.click(screen.getByText('Create metric')); + + await waitFor( + () => { + expect(mockDjClient.DataJunctionAPI.createNode).toBeCalled(); + expect(mockDjClient.DataJunctionAPI.createNode).toBeCalledWith( + 'metric', + 'default.some_test_metric', + 'Some Test Metric', + '', + 'SELECT SUM(a) \n FROM default.repair_orders', + 'published', + 'default', + null, + undefined, + undefined, + undefined, + null, + ); + expect( + screen.getByText(/default.some_test_metric/), + ).toBeInTheDocument(); + }, + { timeout: 10000 }, + ); + + // After successful creation, it should return a success message + expect(screen.getByTestId('success')).toHaveTextContent( + 'Successfully created node default.some_test_metric', + ); + }, 60000); + + it('for editing a transform or dimension node', async () => { + const mockDjClient = initializeMockDJClient(); + + mockDjClient.DataJunctionAPI.getNodeForEditing.mockReturnValue( + mocks.mockGetTransformNode, + ); + mockDjClient.DataJunctionAPI.patchNode = jest.fn(); + mockDjClient.DataJunctionAPI.patchNode.mockReturnValue({ + status: 201, + json: { name: 'default.repair_order_transform', type: 'transform' }, + }); + + mockDjClient.DataJunctionAPI.tagsNode.mockReturnValue({ + status: 200, + json: { message: 'Success' }, + }); + + mockDjClient.DataJunctionAPI.listTags.mockReturnValue([ + { name: 'purpose', display_name: 'Purpose' }, + { name: 'intent', display_name: 'Intent' }, + ]); + + const element = testElement(mockDjClient); + const { getByTestId } = renderEditTransformNode(element); + + await userEvent.type(screen.getByLabelText('Display Name *'), '!!!'); + await userEvent.type(screen.getByLabelText('Description'), '!!!'); + await userEvent.click(screen.getByText('Save')); + + const selectTags = getByTestId('select-tags'); + fireEvent.keyDown(selectTags.firstChild, { key: 'ArrowDown' }); + fireEvent.click(screen.getByText('Purpose')); + + await waitFor(async () => { + expect(mockDjClient.DataJunctionAPI.patchNode).toBeCalledTimes(1); + expect(mockDjClient.DataJunctionAPI.patchNode).toBeCalledWith( + 'default.repair_order_transform', + 'Default: Repair Order Transform!!!', + 'Repair order dimension!!!', + 'SELECT repair_order_id, municipality_id, hard_hat_id, dispatcher_id FROM default.repair_orders', + 'published', + [], + '', + '', + '', + undefined, + ['dj'], + null, + ); + expect(mockDjClient.DataJunctionAPI.tagsNode).toBeCalledTimes(1); + expect(mockDjClient.DataJunctionAPI.tagsNode).toBeCalledWith( + 'default.repair_order_transform', + [], + ); + + expect(mockDjClient.DataJunctionAPI.listMetricMetadata).toBeCalledTimes( + 0, + ); + expect( + await screen.getByText(/Successfully updated transform node/), + ).toBeInTheDocument(); + }); + }, 1000000); + + it('for editing a metric node', async () => { + const mockDjClient = initializeMockDJClient(); + + mockDjClient.DataJunctionAPI.getNodeForEditing.mockReturnValue( + mocks.mockGetMetricNode, + ); + mockDjClient.DataJunctionAPI.patchNode = jest.fn(); + mockDjClient.DataJunctionAPI.patchNode.mockReturnValue({ + status: 201, + json: { name: 'default.num_repair_orders', type: 'metric' }, + }); + + mockDjClient.DataJunctionAPI.tagsNode.mockReturnValue({ + status: 200, + json: { message: 'Success' }, + }); + + mockDjClient.DataJunctionAPI.listTags.mockReturnValue([ + { name: 'purpose', display_name: 'Purpose' }, + { name: 'intent', display_name: 'Intent' }, + ]); + + mockDjClient.DataJunctionAPI.whoami.mockReturnValue({ + id: 123, + username: 'test_user', + }); + + const element = testElement(mockDjClient); + const { getByTestId } = renderEditNode(element); + + await userEvent.type(screen.getByLabelText('Display Name *'), '!!!'); + await userEvent.type(screen.getByLabelText('Description'), '!!!'); + await userEvent.click(screen.getByText('Save')); + + const selectTags = getByTestId('select-tags'); + fireEvent.keyDown(selectTags.firstChild, { key: 'ArrowDown' }); + fireEvent.click(screen.getByText('Purpose')); + + await waitFor(async () => { + expect(mockDjClient.DataJunctionAPI.patchNode).toBeCalledTimes(1); + expect(mockDjClient.DataJunctionAPI.patchNode).toBeCalledWith( + 'default.num_repair_orders', + 'Default: Num Repair Orders!!!', + 'Number of repair orders!!!', + 'SELECT count(repair_order_id) \n FROM default.repair_orders', + 'published', + ['repair_order_id', 'country'], + 'neutral', + 'unitless', + 5, + undefined, + ['dj'], + { key1: 'value1', key2: 'value2' }, + ); + expect(mockDjClient.DataJunctionAPI.tagsNode).toBeCalledTimes(1); + expect(mockDjClient.DataJunctionAPI.tagsNode).toBeCalledWith( + 'default.num_repair_orders', + ['purpose'], + ); + + expect(mockDjClient.DataJunctionAPI.listMetricMetadata).toBeCalledTimes( + 1, + ); + expect( + await screen.getByText(/Successfully updated metric node/), + ).toBeInTheDocument(); + }); + }, 1000000); +}); diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/FormikSelect.test.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/FormikSelect.test.jsx new file mode 100644 index 000000000..186df0119 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/FormikSelect.test.jsx @@ -0,0 +1,75 @@ +import React from 'react'; +import { render, screen } from '@testing-library/react'; +import userEvent from '@testing-library/user-event'; +import { Formik, Form } from 'formik'; +import { FormikSelect } from '../FormikSelect'; + +describe('FormikSelect', () => { + const namespaces = [ + { value: 'default', label: 'default' }, + { value: 'basic', label: 'basic' }, + { value: 'basic.one', label: 'basic.one' }, + { value: 'basic.two', label: 'basic.two' }, + ]; + + const singleSelect = () => { + const utils = render( + +
+ + +
, + ); + + const selectInput = screen.getByRole('combobox'); + return { + ...utils, + selectInput, + }; + }; + + const multiSelect = () => { + const utils = render( + +
+ + +
, + ); + + const selectInput = screen.getByRole('combobox'); + return { + ...utils, + selectInput, + }; + }; + + it('renders the single select component with provided options', () => { + singleSelect(); + userEvent.click(screen.getByRole('combobox')); // to open the dropdown + expect(screen.getByText('basic.one')).toBeInTheDocument(); + }); + + it('renders the multi-select component with provided options', () => { + multiSelect(); + userEvent.click(screen.getByRole('combobox')); // to open the dropdown + expect(screen.getByText('basic.one')).toBeInTheDocument(); + }); +}); diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/FullNameField.test.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/FullNameField.test.jsx new file mode 100644 index 000000000..f5b854baa --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/FullNameField.test.jsx @@ -0,0 +1,31 @@ +import React from 'react'; +import { render, screen, waitFor } from '@testing-library/react'; +import { Formik, Form } from 'formik'; +import { FullNameField } from '../FullNameField'; + +describe('FullNameField', () => { + const setup = initialValues => { + return render( + +
+ + +
, + ); + }; + + it('generates the full name based on namespace and display name', () => { + setup({ namespace: 'cats', display_name: 'Jasper the Cat' }); + const fullNameInput = screen.getByRole('textbox'); + waitFor(() => { + expect(fullNameInput.value).toBe('cats.jasper_the_cat'); + }); + }); + + it('does not set the full name if namespace or display name is missing', () => { + setup({ namespace: '', display_name: '' }); + + const fullNameInput = screen.getByRole('textbox'); + expect(fullNameInput.value).toBe(''); + }); +}); diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/NodeQueryField.test.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/NodeQueryField.test.jsx new file mode 100644 index 000000000..870ed57bf --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/NodeQueryField.test.jsx @@ -0,0 +1,30 @@ +import React from 'react'; +import { render, screen } from '@testing-library/react'; +import { Formik, Form } from 'formik'; +import { NodeQueryField } from '../NodeQueryField'; + +describe('NodeQueryField', () => { + const mockDjClient = { + nodes: jest.fn(), + node: jest.fn(), + }; + const renderWithFormik = (djClient = mockDjClient) => { + return render( + +
+ + +
, + ); + }; + + afterEach(() => { + jest.clearAllMocks(); + }); + + it('renders without crashing', () => { + renderWithFormik(); + expect(screen.getByRole('textbox')).toBeInTheDocument(); + expect(screen.getByRole('button')).toBeInTheDocument(); + }); +}); diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/AddEditNodePageFormFailed.test.jsx.snap b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/AddEditNodePageFormFailed.test.jsx.snap new file mode 100644 index 000000000..b15071d48 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/AddEditNodePageFormFailed.test.jsx.snap @@ -0,0 +1,54 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[`AddEditNodePage Create node page renders with the selected nodeType and namespace 1`] = `HTMLCollection []`; + +exports[`AddEditNodePage submission failed for creating a node 1`] = ` +HTMLCollection [ +
+ + + alert_fill + + + + + + + + + + + Some columns in the primary key [] were not found +
, +] +`; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/AddEditNodePageFormSuccess.test.jsx.snap b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/AddEditNodePageFormSuccess.test.jsx.snap new file mode 100644 index 000000000..e53884268 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/AddEditNodePageFormSuccess.test.jsx.snap @@ -0,0 +1,3 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[`AddEditNodePage Create node page renders with the selected nodeType and namespace 1`] = `HTMLCollection []`; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/index.test.jsx.snap b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/index.test.jsx.snap new file mode 100644 index 000000000..e53884268 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/__snapshots__/index.test.jsx.snap @@ -0,0 +1,3 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[`AddEditNodePage Create node page renders with the selected nodeType and namespace 1`] = `HTMLCollection []`; diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/index.test.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/index.test.jsx new file mode 100644 index 000000000..65e08553c --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/__tests__/index.test.jsx @@ -0,0 +1,320 @@ +import React from 'react'; +import { MemoryRouter, Route, Routes } from 'react-router-dom'; +import { screen, waitFor } from '@testing-library/react'; +import { render } from '../../../../setupTests'; +import fetchMock from 'jest-fetch-mock'; +import { AddEditNodePage } from '../index.jsx'; +import { mocks } from '../../../../mocks/mockNodes'; +import DJClientContext from '../../../providers/djclient'; + +fetchMock.enableMocks(); + +export const initializeMockDJClient = () => { + return { + DataJunctionAPI: { + namespace: _ => { + return [ + { + name: 'default.contractors', + display_name: 'Default: Contractors', + version: 'v1.0', + type: 'source', + status: 'valid', + mode: 'published', + updated_at: '2023-08-21T16:48:53.246914+00:00', + }, + { + name: 'default.num_repair_orders', + display_name: 'Default: Num Repair Orders', + version: 'v1.0', + type: 'metric', + status: 'valid', + mode: 'published', + updated_at: '2023-08-21T16:48:56.841704+00:00', + }, + ]; + }, + metrics: jest + .fn() + .mockReturnValue([ + 'default.num_repair_orders', + 'default.some_other_metric', + ]), + getNodeForEditing: jest.fn(), + namespaces: () => { + return [ + { + namespace: 'default', + num_nodes: 33, + }, + { + namespace: 'default123', + num_nodes: 0, + }, + ]; + }, + createNode: jest.fn(), + patchNode: jest.fn(), + node: jest.fn(), + tagsNode: jest.fn(), + listTags: jest.fn().mockReturnValue([]), + metric: jest.fn().mockReturnValue(mocks.mockMetricNode), + nodesWithType: jest + .fn() + .mockReturnValueOnce(['a']) + .mockReturnValueOnce(['b']) + .mockReturnValueOnce(['default.repair_orders']), + listMetricMetadata: jest.fn().mockReturnValue({ + directions: ['higher_is_better', 'lower_is_better', 'neutral'], + units: [ + { name: 'dollar', label: 'Dollar' }, + { name: 'second', label: 'Second' }, + ], + }), + users: jest.fn().mockReturnValue([ + { + id: 123, + username: 'test_user', + }, + { + id: 1111, + username: 'dj', + }, + ]), + whoami: jest.fn().mockReturnValue({ + id: 123, + username: 'test_user', + }), + }, + }; +}; + +export const testElement = djClient => { + return ( + + + + ); +}; + +export const renderCreateNode = element => { + return render( + + + + + , + ); +}; + +export const renderCreateMetric = element => { + return render( + + + + + , + ); +}; + +export const renderEditNode = element => { + return render( + + + + + , + ); +}; + +export const renderEditTransformNode = element => { + return render( + + + + + , + ); +}; + +export const renderEditDerivedMetricNode = element => { + return render( + + + + + , + ); +}; + +describe('AddEditNodePage', () => { + beforeEach(() => { + fetchMock.resetMocks(); + jest.clearAllMocks(); + window.scrollTo = jest.fn(); + }); + + it('Create node page renders with the selected nodeType and namespace', async () => { + const mockDjClient = initializeMockDJClient(); + const element = testElement(mockDjClient); + const { container } = renderCreateNode(element); + + // The node type should be included in the page title + await waitFor(() => { + expect( + container.getElementsByClassName('node_type__metric'), + ).toMatchSnapshot(); + + // The namespace should be set to the one provided in params + screen + .getAllByText('default') + .forEach(element => expect(element).toBeInTheDocument()); + }); + }); + + it('Edit node page renders with the selected node', async () => { + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.getNodeForEditing.mockReturnValue( + mocks.mockGetMetricNode, + ); + + const element = testElement(mockDjClient); + renderEditNode(element); + + await waitFor(() => { + // Should be an edit node page + expect(screen.getByText('Edit')).toBeInTheDocument(); + + // The node name should be loaded onto the page + expect(screen.getByText('default.num_repair_orders')).toBeInTheDocument(); + + // The node type should be loaded onto the page + expect(screen.getByText('metric')).toBeInTheDocument(); + + // The description should be populated + expect(screen.getByText('Number of repair orders')).toBeInTheDocument(); + + // The upstream node should be populated + expect(screen.getByText('default.repair_orders')).toBeInTheDocument(); + + // The aggregate expression should be populated + expect(screen.getByText('count')).toBeInTheDocument(); + expect(screen.getByText('(repair_order_id)')).toBeInTheDocument(); + }); + }); + + it('Verify edit page node not found', async () => { + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.getNodeForEditing.mockReturnValue(null); + const element = testElement(mockDjClient); + renderEditNode(element); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.getNodeForEditing).toBeCalledTimes(1); + expect( + screen.getByText('Node default.num_repair_orders does not exist!'), + ).toBeInTheDocument(); + }); + }, 60000); + + it('Verify only transforms, metrics, and dimensions can be edited', async () => { + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.getNodeForEditing.mockReturnValue( + mocks.mockGetSourceNode, + ); + const element = testElement(mockDjClient); + renderEditNode(element); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.getNodeForEditing).toBeCalledTimes(1); + expect( + screen.getByText( + 'Node default.num_repair_orders is of type source and cannot be edited', + ), + ).toBeInTheDocument(); + }); + }, 60000); + + it('Edit page renders correctly for derived metric (metric parent)', async () => { + const mockDjClient = initializeMockDJClient(); + mockDjClient.DataJunctionAPI.getNodeForEditing.mockReturnValue( + mocks.mockGetDerivedMetricNode, + ); + + const element = testElement(mockDjClient); + renderEditDerivedMetricNode(element); + + await waitFor(() => { + // Should be an edit node page + expect(screen.getByText('Edit')).toBeInTheDocument(); + + // The node name should be loaded onto the page + expect(screen.getByText('default.revenue_per_order')).toBeInTheDocument(); + + // The node type should be loaded onto the page + expect(screen.getByText('metric')).toBeInTheDocument(); + + // The description should be populated + expect( + screen.getByText('Average revenue per order (derived metric)'), + ).toBeInTheDocument(); + + // For derived metrics, the upstream node select should show the placeholder + // (indicating no upstream node is selected - derived metrics have metric parents) + expect( + screen.getByText('Select Upstream Node (optional for derived metrics)'), + ).toBeInTheDocument(); + }); + }); + + it('Create metric page renders correctly', async () => { + const mockDjClient = initializeMockDJClient(); + const element = testElement(mockDjClient); + renderCreateMetric(element); + + await waitFor(() => { + // Should be a create metric page + expect(screen.getByText('Create')).toBeInTheDocument(); + + // The metric form should show the derived metric expression label + // (when no upstream is selected, we're in derived metric mode) + expect( + screen.getByText('Derived Metric Expression *'), + ).toBeInTheDocument(); + + // The help text for derived metrics should be visible + expect( + screen.getByText(/Reference other metrics using their full names/), + ).toBeInTheDocument(); + }); + }); + + it('Metric page handles error loading metrics gracefully', async () => { + const mockDjClient = initializeMockDJClient(); + // Make metrics() throw an error + mockDjClient.DataJunctionAPI.metrics.mockRejectedValue( + new Error('Network error'), + ); + + const consoleSpy = jest + .spyOn(console, 'error') + .mockImplementation(() => {}); + + const element = testElement(mockDjClient); + renderCreateMetric(element); + + await waitFor(() => { + // The page should still render despite the error + expect(screen.getByText('Create')).toBeInTheDocument(); + // The error should be logged + expect(consoleSpy).toHaveBeenCalledWith( + 'Failed to load metrics for autocomplete:', + expect.any(Error), + ); + }); + + consoleSpy.mockRestore(); + }); +}); diff --git a/datajunction-ui/src/app/pages/AddEditNodePage/index.jsx b/datajunction-ui/src/app/pages/AddEditNodePage/index.jsx new file mode 100644 index 000000000..2c6ed98e5 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditNodePage/index.jsx @@ -0,0 +1,589 @@ +/** + * Node add + edit page for transforms, metrics, and dimensions. The creation and edit flow for these + * node types is largely the same, with minor differences handled server-side. For the `query` + * field, this page will render a CodeMirror SQL editor with autocompletion and syntax highlighting. + */ +import { ErrorMessage, Form, Formik } from 'formik'; +import NamespaceHeader from '../../components/NamespaceHeader'; +import { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; +import 'styles/node-creation.scss'; +import { useParams, useNavigate } from 'react-router-dom'; +import { FullNameField } from './FullNameField'; +import { MetricQueryField } from './MetricQueryField'; +import { displayMessageAfterSubmit } from '../../../utils/form'; +import { NodeQueryField } from './NodeQueryField'; +import { MetricMetadataFields } from './MetricMetadataFields'; +import { UpstreamNodeField } from './UpstreamNodeField'; +import { OwnersField } from './OwnersField'; +import { TagsField } from './TagsField'; +import { NamespaceField } from './NamespaceField'; +import { AlertMessage } from './AlertMessage'; +import { DisplayNameField } from './DisplayNameField'; +import { DescriptionField } from './DescriptionField'; +import { NodeModeField } from './NodeModeField'; +import { RequiredDimensionsSelect } from './RequiredDimensionsSelect'; +import LoadingIcon from '../../icons/LoadingIcon'; +import { ColumnsSelect } from './ColumnsSelect'; +import { CustomMetadataField } from './CustomMetadataField'; + +class Action { + static Add = new Action('add'); + static Edit = new Action('edit'); + + constructor(name) { + this.name = name; + } +} + +export function AddEditNodePage({ extensions = {} }) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const navigate = useNavigate(); + + let { nodeType, initialNamespace, name } = useParams(); + const action = name !== undefined ? Action.Edit : Action.Add; + + const initialValues = { + name: action === Action.Edit ? name : '', + namespace: action === Action.Add ? initialNamespace : '', + display_name: '', + query: '', + type: nodeType, + description: '', + primary_key: '', + mode: 'published', + owners: [], + custom_metadata: '', + }; + + const validator = values => { + const errors = {}; + if (!values.name) { + errors.name = 'Required'; + } + if (values.type !== 'metric' && !values.query) { + errors.query = 'Required'; + } + return errors; + }; + + const handleSubmit = async (values, { setSubmitting, setStatus }) => { + if (action === Action.Add) { + await createNode(values, setStatus).then(_ => { + window.scrollTo({ top: 0, left: 0, behavior: 'smooth' }); + setSubmitting(false); + }); + } else { + await patchNode(values, setStatus).then(_ => { + window.scrollTo({ top: 0, left: 0, behavior: 'smooth' }); + setSubmitting(false); + }); + } + }; + const submitHandlers = [handleSubmit]; + + const pageTitle = + action === Action.Add ? ( +

+ Create{' '} + + {nodeType} + +

+ ) : ( +

Edit

+ ); + + const staticFieldsInEdit = node => ( + <> +
+ {name} +
+
+ {node.type} +
+ + ); + + const primaryKeyToList = primaryKey => { + return primaryKey.map(columnName => columnName.trim()); + }; + + const parseCustomMetadata = customMetadata => { + if (!customMetadata || customMetadata.trim() === '') { + return null; + } + try { + return JSON.parse(customMetadata); + } catch (err) { + return null; + } + }; + + /** + * Build the metric query based on whether an upstream node is provided. + * - With upstream node: `SELECT FROM ` (regular metric) + * - Without upstream node: `SELECT ` (derived metric referencing other metrics) + */ + const buildMetricQuery = (aggregateExpression, upstreamNode) => { + if (upstreamNode && upstreamNode.trim() !== '') { + return `SELECT ${aggregateExpression} \n FROM ${upstreamNode}`; + } + // Derived metric - no FROM clause needed, expression references other metrics directly + return `SELECT ${aggregateExpression}`; + }; + + const createNode = async (values, setStatus) => { + const { status, json } = await djClient.createNode( + nodeType, + values.name, + values.display_name, + values.description, + values.type === 'metric' + ? buildMetricQuery(values.aggregate_expression, values.upstream_node) + : values.query, + values.mode, + values.namespace, + values.primary_key ? primaryKeyToList(values.primary_key) : null, + values.metric_direction, + values.metric_unit, + values.required_dimensions, + parseCustomMetadata(values.custom_metadata), + ); + if (status === 200 || status === 201) { + if (values.tags) { + await djClient.tagsNode(values.name, values.tags); + } + setStatus({ + success: ( + <> + Successfully created {json.type} node{' '} + {json.name}! + + ), + }); + } else { + setStatus({ + failure: `${json.message}`, + }); + } + }; + + const patchNode = async (values, setStatus) => { + const { status, json } = await djClient.patchNode( + values.name, + values.display_name, + values.description, + values.type === 'metric' + ? buildMetricQuery(values.aggregate_expression, values.upstream_node) + : values.query, + values.mode, + values.primary_key ? primaryKeyToList(values.primary_key) : null, + values.metric_direction, + values.metric_unit, + values.significant_digits, + values.required_dimensions, + values.owners, + parseCustomMetadata(values.custom_metadata), + ); + const tagsResponse = await djClient.tagsNode( + values.name, + values.tags.map(tag => tag), + ); + if ((status === 200 || status === 201) && tagsResponse.status === 200) { + setStatus({ + success: ( + <> + Successfully updated {json.type} node{' '} + {json.name}! + + ), + }); + } else { + setStatus({ + failure: `${json.message}`, + }); + } + }; + + const fullNameInput = ( +
+ + + +
+ ); + + const nodeCanBeEdited = nodeType => { + return new Set(['transform', 'metric', 'dimension']).has(nodeType); + }; + + const getExistingNodeData = async name => { + const node = await djClient.getNodeForEditing(name); + if (node === null) { + return { message: `Node ${name} does not exist` }; + } + const baseData = { + name: node.name, + type: node.type.toLowerCase(), + display_name: node.current.displayName, + description: node.current.description, + primary_key: node.current.primaryKey, + query: node.current.query, + tags: node.tags, + mode: node.current.mode.toLowerCase(), + owners: node.owners, + custom_metadata: node.current.customMetadata, + }; + + if (node.type === 'METRIC') { + // Check if this is a derived metric (parent is another metric) + const firstParent = node.current.parents[0]; + const isDerivedMetric = firstParent?.type === 'METRIC'; + + if (isDerivedMetric) { + // Derived metric: no upstream node, expression is the full query projection + // Parse the expression from the query (format: "SELECT ") + const query = node.current.query || ''; + const selectMatch = query.match(/SELECT\s+(.+)/is); + const derivedExpression = selectMatch + ? selectMatch[1].trim() + : node.current.metricMetadata?.expression || ''; + + return { + ...baseData, + metric_direction: + node.current.metricMetadata?.direction?.toLowerCase(), + metric_unit: node.current.metricMetadata?.unit?.name?.toLowerCase(), + significant_digits: node.current.metricMetadata?.significantDigits, + required_dimensions: node.current.requiredDimensions.map( + dim => dim.name, + ), + upstream_node: '', // Derived metrics have no upstream node + aggregate_expression: derivedExpression, + }; + } else { + // Regular metric: has upstream node + return { + ...baseData, + metric_direction: + node.current.metricMetadata?.direction?.toLowerCase(), + metric_unit: node.current.metricMetadata?.unit?.name?.toLowerCase(), + significant_digits: node.current.metricMetadata?.significantDigits, + required_dimensions: node.current.requiredDimensions.map( + dim => dim.name, + ), + upstream_node: firstParent?.name || '', + aggregate_expression: node.current.metricMetadata?.expression, + }; + } + } + return baseData; + }; + + const runValidityChecks = (data, setNode, setMessage) => { + // Check if node exists + if (data.message !== undefined) { + setNode(null); + setMessage(`Node ${name} does not exist!`); + return; + } + // Check if node type can be edited + if (!nodeCanBeEdited(data.type)) { + setNode(null); + if (data.type === 'cube') { + navigate(`/nodes/${data.name}/edit-cube`); + } + setMessage(`Node ${name} is of type ${data.type} and cannot be edited`); + } + }; + + const updateFieldsWithNodeData = ( + data, + setFieldValue, + setNode, + setSelectTags, + setSelectPrimaryKey, + setSelectUpstreamNode, + setSelectRequiredDims, + setSelectOwners, + ) => { + // Update fields with existing data to prepare for edit + const fields = [ + 'display_name', + 'query', + 'type', + 'description', + 'primary_key', + 'mode', + 'tags', + 'aggregate_expression', + 'upstream_node', + 'metric_unit', + 'metric_direction', + 'significant_digits', + 'owners', + 'custom_metadata', + ]; + fields.forEach(field => { + if (field === 'tags') { + setFieldValue( + field, + data[field].map(tag => tag.name), + ); + } else if (field === 'owners') { + setFieldValue( + field, + data[field].map(owner => owner.username), + ); + } else if (field === 'custom_metadata') { + const value = data[field] ? JSON.stringify(data[field], null, 2) : ''; + setFieldValue(field, value, false); + } else { + setFieldValue(field, data[field] || '', false); + } + }); + setNode(data); + + // For react-select fields, we have to explicitly set the entire + // field rather than just the values + setSelectTags( + { + return { value: t.name, label: t.displayName }; + })} + />, + ); + setSelectPrimaryKey( + , + ); + if (data.required_dimensions) { + setSelectRequiredDims( + { + return { value: dim, label: dim }; + })} + />, + ); + } + // For derived metrics, upstream_node is empty - pass null to clear the select + setSelectUpstreamNode( + , + ); + if (data.owners) { + setSelectOwners( + { + return { value: owner.username, label: owner.username }; + })} + />, + ); + } + }; + + return ( +
+ +
+
+ {pageTitle} +
+ { + try { + for (const handler of submitHandlers) { + await handler(values, { setSubmitting, setStatus }); + } + } catch (error) { + console.error('Error in submission', error); + } finally { + setSubmitting(false); + } + }} + > + {function Render(formikProps) { + const { + isSubmitting, + status, + setFieldValue, + errors, + touched, + isValid, + dirty, + } = formikProps; + const [node, setNode] = useState([]); + const [selectPrimaryKey, setSelectPrimaryKey] = useState(null); + const [selectRequiredDims, setSelectRequiredDims] = + useState(null); + const [selectUpstreamNode, setSelectUpstreamNode] = + useState(null); + const [selectOwners, setSelectOwners] = useState(null); + const [selectTags, setSelectTags] = useState(null); + const [message, setMessage] = useState(''); + + useEffect(() => { + const fetchData = async () => { + if (action === Action.Edit) { + const data = await getExistingNodeData(name); + runValidityChecks(data, setNode, setMessage); + updateFieldsWithNodeData( + data, + setFieldValue, + setNode, + setSelectTags, + setSelectPrimaryKey, + setSelectUpstreamNode, + setSelectRequiredDims, + setSelectOwners, + ); + } + }; + fetchData().catch(console.error); + }, [setFieldValue]); + return ( +
+ {displayMessageAfterSubmit(status)} + {action === Action.Edit && message ? ( + + ) : ( + <> + {action === Action.Add ? ( + + ) : ( + staticFieldsInEdit(node) + )} + + {action === Action.Add ? fullNameInput : ''} + +
+ {nodeType === 'metric' || node?.type === 'metric' ? ( + action === Action.Edit ? ( + selectUpstreamNode + ) : ( + + ) + ) : ( + '' + )} +
+
+ {action === Action.Edit ? ( + selectOwners + ) : ( + + )} +
+
+ {nodeType === 'metric' || node.type === 'metric' ? ( + + ) : ( + + )} +
+ {nodeType === 'metric' || node.type === 'metric' ? ( + + ) : ( + '' + )} + {nodeType !== 'metric' && node.type !== 'metric' ? ( + action === Action.Edit ? ( + selectPrimaryKey + ) : ( + + ) + ) : action === Action.Edit ? ( + selectRequiredDims + ) : ( + + )} + + {Object.entries(extensions).map( + ([key, ExtensionComponent]) => ( +
+ { + if (!submitHandlers.includes(onSubmit)) { + if (prepend) { + submitHandlers.unshift(onSubmit); + } else { + submitHandlers.push(onSubmit); + } + } + }} + /> +
+ ), + )} + {action === Action.Edit ? selectTags : } + + + + + )} + + ); + }} +
+
+
+
+
+ ); +} diff --git a/datajunction-ui/src/app/pages/AddEditTagPage/Loadable.jsx b/datajunction-ui/src/app/pages/AddEditTagPage/Loadable.jsx new file mode 100644 index 000000000..b0c2a0ec6 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditTagPage/Loadable.jsx @@ -0,0 +1,16 @@ +/** + * Asynchronously loads the component for the Node page + */ + +import * as React from 'react'; +import { lazyLoad } from '../../../utils/loadable'; + +export const AddEditTagPage = () => { + return lazyLoad( + () => import('./index'), + module => module.AddEditTagPage, + { + fallback:
, + }, + )(); +}; diff --git a/datajunction-ui/src/app/pages/AddEditTagPage/__tests__/AddEditTagPage.test.jsx b/datajunction-ui/src/app/pages/AddEditTagPage/__tests__/AddEditTagPage.test.jsx new file mode 100644 index 000000000..cf2b28e93 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditTagPage/__tests__/AddEditTagPage.test.jsx @@ -0,0 +1,107 @@ +import React from 'react'; +import { screen, waitFor } from '@testing-library/react'; +import fetchMock from 'jest-fetch-mock'; +import userEvent from '@testing-library/user-event'; +import { render } from '../../../../setupTests'; +import { MemoryRouter, Route, Routes } from 'react-router-dom'; +import DJClientContext from '../../../providers/djclient'; +import { AddEditTagPage } from '../index'; + +describe('', () => { + const initializeMockDJClient = () => { + return { + DataJunctionAPI: { + addTag: jest.fn(), + }, + }; + }; + + const mockDjClient = initializeMockDJClient(); + + beforeEach(() => { + fetchMock.resetMocks(); + jest.clearAllMocks(); + window.scrollTo = jest.fn(); + }); + + const renderAddEditTagPage = element => { + return render( + + + + + , + ); + }; + + const testElement = djClient => { + return ( + + + + ); + }; + + it('adds a tag correctly', async () => { + mockDjClient.DataJunctionAPI.addTag.mockReturnValue({ + status: 200, + json: { + name: 'amanita_muscaria', + display_name: 'Amanita Muscaria', + tag_type: 'fungi', + description: 'Fly agaric, is poisonous', + }, + }); + + const element = testElement(mockDjClient); + renderAddEditTagPage(element); + + await userEvent.type(screen.getByLabelText('Name'), 'amanita_muscaria'); + await userEvent.type( + screen.getByLabelText('Display Name'), + 'Amanita Muscaria', + ); + await userEvent.type(screen.getByLabelText('Tag Type'), 'fungi'); + await userEvent.click(screen.getByRole('button')); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.addTag).toBeCalled(); + expect(mockDjClient.DataJunctionAPI.addTag).toBeCalledWith( + 'amanita_muscaria', + 'Amanita Muscaria', + 'fungi', + undefined, + ); + expect(screen.getByTestId('success')).toHaveTextContent( + 'Successfully added tag Amanita Muscaria', + ); + }); + }, 60000); + + it('fails to add a tag', async () => { + mockDjClient.DataJunctionAPI.addTag.mockReturnValue({ + status: 500, + json: { message: 'Tag exists' }, + }); + + const element = testElement(mockDjClient); + renderAddEditTagPage(element); + + await userEvent.click(screen.getByRole('button')); + + await userEvent.type(screen.getByLabelText('Name'), 'amanita_muscaria'); + await userEvent.type( + screen.getByLabelText('Display Name'), + 'Amanita Muscaria', + ); + await userEvent.type(screen.getByLabelText('Tag Type'), 'fungi'); + await userEvent.click(screen.getByRole('button')); + + await waitFor(() => { + expect(mockDjClient.DataJunctionAPI.addTag).toBeCalled(); + expect(screen.getByTestId('failure')).toHaveTextContent( + 'alert_fillTag exists', + ); + }); + }, 60000); +}); diff --git a/datajunction-ui/src/app/pages/AddEditTagPage/index.jsx b/datajunction-ui/src/app/pages/AddEditTagPage/index.jsx new file mode 100644 index 000000000..faa7baed2 --- /dev/null +++ b/datajunction-ui/src/app/pages/AddEditTagPage/index.jsx @@ -0,0 +1,132 @@ +/** + * Add or edit tags + */ +import { ErrorMessage, Field, Form, Formik } from 'formik'; + +import NamespaceHeader from '../../components/NamespaceHeader'; +import React, { useContext } from 'react'; +import DJClientContext from '../../providers/djclient'; +import 'styles/node-creation.scss'; +import { displayMessageAfterSubmit } from '../../../utils/form'; + +export function AddEditTagPage() { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const initialValues = { + name: '', + }; + + const validator = values => { + const errors = {}; + if (!values.name) { + errors.name = 'Required'; + } + return errors; + }; + + const handleSubmit = async (values, { setSubmitting, setStatus }) => { + const { status, json } = await djClient.addTag( + values.name, + values.display_name, + values.tag_type, + values.description, + ); + if (status === 200 || status === 201) { + setStatus({ + success: ( + <> + Successfully added tag{' '} + {json.display_name}. + + ), + }); + } else { + setStatus({ + failure: `${json.message}`, + }); + } + setSubmitting(false); + window.scrollTo({ top: 0, left: 0, behavior: 'smooth' }); + }; + + return ( +
+ +
+
+

+ Add{' '} + + Tag + +

+
+ + {function Render({ isSubmitting, status }) { + return ( +
+ {displayMessageAfterSubmit(status)} + { + <> +
+ + + +
+
+
+ + + +
+
+
+ + + +
+
+ + + +
+ + + } +
+ ); + }} + +
+
+
+
+ ); +} diff --git a/datajunction-ui/src/app/pages/CubeBuilderPage/DimensionsSelect.jsx b/datajunction-ui/src/app/pages/CubeBuilderPage/DimensionsSelect.jsx new file mode 100644 index 000000000..b096fd7d8 --- /dev/null +++ b/datajunction-ui/src/app/pages/CubeBuilderPage/DimensionsSelect.jsx @@ -0,0 +1,152 @@ +/** + * A select component for picking dimensions + */ +import { useField, useFormikContext } from 'formik'; +import Select from 'react-select'; +import React, { useContext, useEffect, useState } from 'react'; +import DJClientContext from '../../providers/djclient'; +import { labelize } from '../../../utils/form'; + +export const DimensionsSelect = ({ cube }) => { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const { values, setFieldValue } = useFormikContext(); + + // eslint-disable-next-line no-unused-vars + const [field, _, helpers] = useField('dimensions'); + const { setValue } = helpers; + + // All common dimensions for the selected metrics, grouped by the dimension node and path + const [allDimensionsOptions, setAllDimensionsOptions] = useState([]); + + // The selected dimensions, also grouped by dimension node and path + const [selectedDimensionsByGroup, setSelectedDimensionsByGroup] = useState( + {}, + ); + + // The existing cube node's dimensions, if editing a cube + const [defaultDimensions, setDefaultDimensions] = useState([]); + + useEffect(() => { + const fetchData = async () => { + let cubeDimensions = undefined; + if (cube) { + cubeDimensions = cube?.current.cubeDimensions.map(cubeDim => { + return { + value: cubeDim.name, + label: + labelize(cubeDim.attribute) + + (cubeDim.properties?.includes('primary_key') ? ' (PK)' : ''), + }; + }); + setDefaultDimensions(cubeDimensions); + setValue(cubeDimensions.map(m => m.value)); + } + + if (values.metrics && values.metrics.length > 0) { + // Populate the common dimensions list based on the selected metrics + const commonDimensions = await djClient.commonDimensions( + values.metrics, + ); + const grouped = Object.entries( + commonDimensions.reduce((group, dimension) => { + group[dimension.node_name + dimension.path] = + group[dimension.node_name + dimension.path] ?? []; + group[dimension.node_name + dimension.path].push(dimension); + return group; + }, {}), + ); + setAllDimensionsOptions(grouped); + + // Set the selected cube dimensions if an existing cube is being edited + if (cube) { + const currentSelectedDimensionsByGroup = {}; + grouped.forEach(grouping => { + const dimensionsInGroup = grouping[1]; + currentSelectedDimensionsByGroup[dimensionsInGroup[0].node_name] = + getValue( + cubeDimensions.filter( + dim => + dimensionsInGroup.filter(x => { + return dim.value === x.name; + }).length > 0, + ), + ); + setSelectedDimensionsByGroup(currentSelectedDimensionsByGroup); + setValue(Object.values(currentSelectedDimensionsByGroup).flat(2)); + }); + } + } else { + setAllDimensionsOptions([]); + } + }; + fetchData().catch(console.error); + }, [djClient, setFieldValue, setValue, values.metrics, cube]); + + // Retrieves the selected values as a list (since it is a multi-select) + const getValue = options => { + if (options) { + return options.map(option => option.value); + } else { + return []; + } + }; + + // Builds the block of dimensions selectors, grouped by node name + path + return allDimensionsOptions.map(grouping => { + const dimensionsInGroup = grouping[1]; + const groupHeader = ( +
+ + {dimensionsInGroup[0].node_display_name} + {' '} + via{' '} + + {dimensionsInGroup[0].path.join(' → ')} + +
+ ); + const dimensionGroupOptions = dimensionsInGroup.map(dim => { + return { + value: dim.name, + label: + labelize(dim.name.split('.').slice(-1)[0]) + + (dim.properties?.includes('primary_key') ? ' (PK)' : ''), + }; + }); + // + const cubeDimensions = defaultDimensions.filter( + dim => + dimensionGroupOptions.filter(x => { + return dim.value === x.value; + }).length > 0, + ); + return ( + <> + {groupHeader} + + { + setValue(getValue(selected)); + }} + noOptionsMessage={() => 'No metrics found.'} + isMulti + isClearable + closeMenuOnSelect={false} + /> + ); + } + }; + return render(); +}; diff --git a/datajunction-ui/src/app/pages/CubeBuilderPage/__tests__/index.test.jsx b/datajunction-ui/src/app/pages/CubeBuilderPage/__tests__/index.test.jsx new file mode 100644 index 000000000..cc35adb8b --- /dev/null +++ b/datajunction-ui/src/app/pages/CubeBuilderPage/__tests__/index.test.jsx @@ -0,0 +1,407 @@ +import { render, screen, fireEvent, waitFor } from '@testing-library/react'; +import DJClientContext from '../../../providers/djclient'; +import { CubeBuilderPage } from '../index'; +import { MemoryRouter, Route, Routes } from 'react-router-dom'; +import React from 'react'; + +const mockDjClient = { + metrics: jest.fn(), + commonDimensions: jest.fn(), + createCube: jest.fn(), + namespaces: jest.fn(), + cube: jest.fn(), + getCubeForEditing: jest.fn(), + node: jest.fn(), + listTags: jest.fn(), + tagsNode: jest.fn(), + patchCube: jest.fn(), + users: jest.fn(), + whoami: jest.fn(), +}; + +const mockMetrics = [ + 'default.num_repair_orders', + 'default.avg_repair_price', + 'default.total_repair_cost', +]; + +const mockCube = { + name: 'default.repair_orders_cube', + type: 'CUBE', + owners: [ + { + username: 'someone@example.com', + }, + ], + current: { + displayName: 'Default: Repair Orders Cube', + description: 'Repairs cube', + mode: 'DRAFT', + cubeMetrics: [ + { + name: 'default.total_repair_cost', + }, + { + name: 'default.num_repair_orders', + }, + ], + cubeDimensions: [ + { + name: 'default.hard_hat.country', + attribute: 'country', + properties: ['dimension'], + }, + { + name: 'default.hard_hat.state', + attribute: 'state', + properties: ['dimension'], + }, + ], + }, + tags: [ + { + name: 'repairs', + displayName: 'Repairs Domain', + }, + ], +}; + +const mockCommonDimensions = [ + { + name: 'default.date_dim.dateint', + type: 'timestamp', + node_name: 'default.date_dim', + node_display_name: 'Date', + properties: [], + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.birth_date', + ], + }, + { + name: 'default.date_dim.dateint', + type: 'timestamp', + node_name: 'default.date_dim', + node_display_name: 'Date', + properties: [], + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.hire_date', + ], + }, + { + name: 'default.date_dim.day', + type: 'int', + node_name: 'default.date_dim', + node_display_name: 'Date', + properties: [], + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.birth_date', + ], + }, + { + name: 'default.date_dim.day', + type: 'int', + node_name: 'default.date_dim', + node_display_name: 'Date', + properties: [], + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.hire_date', + ], + }, + { + name: 'default.date_dim.month', + type: 'int', + node_name: 'default.date_dim', + node_display_name: 'Date', + properties: [], + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.birth_date', + ], + }, + { + name: 'default.date_dim.month', + type: 'int', + node_name: 'default.date_dim', + node_display_name: 'Date', + properties: [], + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.hire_date', + ], + }, + { + name: 'default.date_dim.year', + type: 'int', + node_name: 'default.date_dim', + node_display_name: 'Date', + properties: [], + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.birth_date', + ], + }, + { + name: 'default.date_dim.year', + type: 'int', + node_name: 'default.date_dim', + node_display_name: 'Date', + properties: [], + path: [ + 'default.repair_order_details.repair_order_id', + 'default.repair_order.hard_hat_id', + 'default.hard_hat.hire_date', + ], + }, +]; + +describe('CubeBuilderPage', () => { + beforeEach(() => { + mockDjClient.metrics.mockResolvedValue(mockMetrics); + mockDjClient.commonDimensions.mockResolvedValue(mockCommonDimensions); + mockDjClient.createCube.mockResolvedValue({ status: 201, json: {} }); + mockDjClient.namespaces.mockResolvedValue(['default']); + mockDjClient.getCubeForEditing.mockResolvedValue(mockCube); + mockDjClient.listTags.mockResolvedValue([]); + mockDjClient.tagsNode.mockResolvedValue([]); + mockDjClient.patchCube.mockResolvedValue({ status: 201, json: {} }); + mockDjClient.users.mockResolvedValue([{ username: 'dj' }]); + mockDjClient.whoami.mockResolvedValue({ username: 'dj' }); + + window.scrollTo = jest.fn(); + }); + + afterEach(() => { + jest.clearAllMocks(); + }); + + it('renders without crashing', async () => { + render( + + + , + ); + + // Wait for async effects to complete + await waitFor(() => { + expect(mockDjClient.metrics).toHaveBeenCalled(); + }); + + expect(screen.getByText('Cube')).toBeInTheDocument(); + }); + + it('renders the Metrics section', async () => { + render( + + + , + ); + + // Wait for async effects to complete + await waitFor(() => { + expect(mockDjClient.metrics).toHaveBeenCalled(); + }); + + expect(screen.getByText('Metrics *')).toBeInTheDocument(); + }); + + it('renders the Dimensions section', async () => { + render( + + + , + ); + + // Wait for async effects to complete + await waitFor(() => { + expect(mockDjClient.metrics).toHaveBeenCalled(); + }); + + expect(screen.getByText('Dimensions *')).toBeInTheDocument(); + }); + + it('creates a new cube', async () => { + render( + + + , + ); + + await waitFor(() => { + expect(mockDjClient.metrics).toHaveBeenCalled(); + }); + + const selectMetrics = screen.getAllByTestId('select-metrics')[0]; + expect(selectMetrics).toBeDefined(); + expect(selectMetrics).not.toBeNull(); + expect(screen.getAllByText('3 Available Metrics')[0]).toBeInTheDocument(); + + fireEvent.keyDown(selectMetrics.firstChild, { key: 'ArrowDown' }); + for (const metric of mockMetrics) { + await waitFor(() => { + expect(screen.getByText(metric)).toBeInTheDocument(); + fireEvent.click(screen.getByText(metric)); + }); + } + fireEvent.click(screen.getAllByText('Dimensions *')[0]); + + // Wait for commonDimensions to be called and state to update + await waitFor(() => { + expect(mockDjClient.commonDimensions).toHaveBeenCalled(); + }); + + const selectDimensions = screen.getAllByTestId('select-dimensions')[0]; + expect(selectDimensions).toBeDefined(); + expect(selectDimensions).not.toBeNull(); + + await waitFor(() => { + expect( + screen.getByText( + 'default.repair_order_details.repair_order_id → default.repair_order.hard_hat_id → default.hard_hat.birth_date', + ), + ).toBeInTheDocument(); + }); + + const selectDimensionsDate = screen.getAllByTestId( + 'dimensions-default.date_dim', + )[0]; + + fireEvent.keyDown(selectDimensionsDate.firstChild, { key: 'ArrowDown' }); + await waitFor(() => { + expect(screen.getByText('Day')).toBeInTheDocument(); + }); + fireEvent.click(screen.getByText('Day')); + fireEvent.click(screen.getByText('Month')); + fireEvent.click(screen.getByText('Year')); + fireEvent.click(screen.getByText('Dateint')); + + // Save + const createCube = screen.getAllByRole('button', { + name: 'CreateCube', + })[0]; + expect(createCube).toBeInTheDocument(); + + fireEvent.click(createCube); + + await waitFor(() => { + expect(mockDjClient.createCube).toHaveBeenCalledWith( + '', + '', + '', + 'published', + [ + 'default.num_repair_orders', + 'default.avg_repair_price', + 'default.total_repair_cost', + ], + [ + 'default.date_dim.day', + 'default.date_dim.month', + 'default.date_dim.year', + 'default.date_dim.dateint', + ], + [], + ); + }); + }); + + const renderEditNode = element => { + return render( + + + + + , + ); + }; + + it('updates an existing cube', async () => { + renderEditNode( + + + , + ); + expect(screen.getAllByText('Edit')[0]).toBeInTheDocument(); + await waitFor(() => { + expect(mockDjClient.getCubeForEditing).toHaveBeenCalled(); + }); + await waitFor(() => { + expect(mockDjClient.metrics).toHaveBeenCalled(); + }); + + const selectMetrics = screen.getAllByTestId('select-metrics')[0]; + expect(selectMetrics).toBeDefined(); + expect(selectMetrics).not.toBeNull(); + expect(screen.getByText('default.num_repair_orders')).toBeInTheDocument(); + + fireEvent.click(screen.getAllByText('Dimensions *')[0]); + + // Wait for commonDimensions to be called and state to update + await waitFor(() => { + expect(mockDjClient.commonDimensions).toHaveBeenCalled(); + }); + + const selectDimensions = screen.getAllByTestId('select-dimensions')[0]; + expect(selectDimensions).toBeDefined(); + expect(selectDimensions).not.toBeNull(); + + await waitFor(() => { + expect( + screen.getByText( + 'default.repair_order_details.repair_order_id → default.repair_order.hard_hat_id → default.hard_hat.birth_date', + ), + ).toBeInTheDocument(); + }); + + const selectDimensionsDate = screen.getAllByTestId( + 'dimensions-default.date_dim', + )[0]; + + fireEvent.keyDown(selectDimensionsDate.firstChild, { key: 'ArrowDown' }); + await waitFor(() => { + expect(screen.getByText('Day')).toBeInTheDocument(); + }); + fireEvent.click(screen.getByText('Day')); + fireEvent.click(screen.getByText('Month')); + fireEvent.click(screen.getByText('Year')); + fireEvent.click(screen.getByText('Dateint')); + + // Save + const createCube = screen.getAllByRole('button', { + name: 'CreateCube', + })[0]; + expect(createCube).toBeInTheDocument(); + + fireEvent.click(createCube); + + await waitFor(() => { + expect(mockDjClient.patchCube).toHaveBeenCalledWith( + 'default.repair_orders_cube', + 'Default: Repair Orders Cube', + 'Repairs cube', + 'draft', + ['default.total_repair_cost', 'default.num_repair_orders'], + [ + 'default.date_dim.day', + 'default.date_dim.month', + 'default.date_dim.year', + 'default.date_dim.dateint', + ], + [], + [], + ); + }); + }); +}); diff --git a/datajunction-ui/src/app/pages/CubeBuilderPage/index.jsx b/datajunction-ui/src/app/pages/CubeBuilderPage/index.jsx new file mode 100644 index 000000000..2530d4227 --- /dev/null +++ b/datajunction-ui/src/app/pages/CubeBuilderPage/index.jsx @@ -0,0 +1,291 @@ +import React, { useContext, useEffect, useState } from 'react'; +import NamespaceHeader from '../../components/NamespaceHeader'; +import { DataJunctionAPI } from '../../services/DJService'; +import DJClientContext from '../../providers/djclient'; +import 'react-querybuilder/dist/query-builder.scss'; +import 'styles/styles.scss'; +import { ErrorMessage, Field, Form, Formik } from 'formik'; +import { displayMessageAfterSubmit } from '../../../utils/form'; +import { useParams } from 'react-router-dom'; +import { Action } from '../../components/forms/Action'; +import NodeNameField from '../../components/forms/NodeNameField'; +import { MetricsSelect } from './MetricsSelect'; +import { DimensionsSelect } from './DimensionsSelect'; +import { TagsField } from '../AddEditNodePage/TagsField'; +import { OwnersField } from '../AddEditNodePage/OwnersField'; + +export function CubeBuilderPage() { + const djClient = useContext(DJClientContext).DataJunctionAPI; + + let { nodeType, initialNamespace, name } = useParams(); + const action = name !== undefined ? Action.Edit : Action.Add; + const validator = ruleType => !!ruleType.value; + + const initialValues = { + name: action === Action.Edit ? name : '', + namespace: action === Action.Add ? initialNamespace : '', + display_name: '', + description: '', + mode: 'published', + metrics: [], + dimensions: [], + filters: [], + tags: [], + owners: [], + }; + + const handleSubmit = (values, { setSubmitting, setStatus }) => { + if (action === Action.Add) { + setTimeout(() => { + createNode(values, setStatus); + setSubmitting(false); + }, 400); + } else { + setTimeout(() => { + patchNode(values, setStatus); + setSubmitting(false); + }, 400); + } + window.scrollTo({ top: 0, left: 0, behavior: 'smooth' }); + }; + + const createNode = async (values, setStatus) => { + const { status, json } = await djClient.createCube( + values.name, + values.display_name, + values.description, + values.mode, + values.metrics, + values.dimensions, + values.filters || [], + ); + if (status === 200 || status === 201) { + if (values.tags) { + await djClient.tagsNode(values.name, values.tags); + } + setStatus({ + success: ( + <> + Successfully created {json.type} node{' '} + {json.name}! + + ), + }); + } else { + setStatus({ + failure: `${json.message}`, + }); + } + }; + + const patchNode = async (values, setStatus) => { + const { status, json } = await djClient.patchCube( + values.name, + values.display_name, + values.description, + values.mode, + values.metrics, + values.dimensions, + values.filters || [], + values.owners, + ); + const tagsResponse = await djClient.tagsNode( + values.name, + (values.tags || []).map(tag => tag), + ); + if ((status === 200 || status === 201) && tagsResponse.status === 200) { + setStatus({ + success: ( + <> + Successfully updated {json.type} node{' '} + {json.name}! + + ), + }); + } else { + setStatus({ + failure: `${json.message}`, + }); + } + }; + + const updateFieldsWithNodeData = ( + data, + setFieldValue, + setSelectTags, + setSelectOwners, + ) => { + setFieldValue('display_name', data.current.displayName || '', false); + setFieldValue('description', data.current.description || '', false); + setFieldValue('mode', data.current.mode.toLowerCase() || 'draft', false); + setFieldValue( + 'tags', + data.tags.map(tag => tag.name), + ); + // For react-select fields, we have to explicitly set the entire + // field rather than just the values + setSelectTags( + { + return { value: t.name, label: t.displayName }; + })} + />, + ); + if (data.owners) { + setSelectOwners( + { + return { value: owner.username, label: owner.username }; + })} + />, + ); + } + }; + + const staticFieldsInEdit = () => ( + <> +
+ {name} +
+
+ cube +
+
+ + + +
+ + ); + + // @ts-ignore + return ( + <> +
+ + + {function Render({ isSubmitting, status, setFieldValue, props }) { + const [node, setNode] = useState([]); + const [selectTags, setSelectTags] = useState(null); + const [selectOwners, setSelectOwners] = useState(null); + + // Get cube + useEffect(() => { + const fetchData = async () => { + if (name) { + const cube = await djClient.getCubeForEditing(name); + setNode(cube); + updateFieldsWithNodeData( + cube, + setFieldValue, + setSelectTags, + setSelectOwners, + ); + } + }; + fetchData().catch(console.error); + }, [setFieldValue]); + + return ( +
+
+
+

+ {action === Action.Edit ? 'Edit' : 'Create'}{' '} + + Cube + +

+ {displayMessageAfterSubmit(status)} + {action === Action.Add ? ( + + ) : ( + staticFieldsInEdit(node) + )} +
+ + + +
+
+ +

Select metrics to include in the cube.

+ + {action === Action.Edit ? ( + + ) : ( + + )} + +
+
+
+
+ +

+ Select dimensions to include in the cube. As metrics are + selected above, the list of available dimensions will be + filtered to those shared by the selected metrics. If the + dimensions list is empty, no shared dimensions were + discovered. +

+ + {action === Action.Edit ? ( + + ) : ( + + )} + +
+
+ + + + + + +
+ {action === Action.Edit ? selectTags : } + {action === Action.Edit ? selectOwners : } + +
+
+
+ ); + }} + +
+ + ); +} + +CubeBuilderPage.defaultProps = { + djClient: DataJunctionAPI, +}; diff --git a/datajunction-ui/src/app/pages/LoginPage/LoginForm.jsx b/datajunction-ui/src/app/pages/LoginPage/LoginForm.jsx new file mode 100644 index 000000000..31ef632a9 --- /dev/null +++ b/datajunction-ui/src/app/pages/LoginPage/LoginForm.jsx @@ -0,0 +1,124 @@ +import { useState } from 'react'; +import { Formik, Form, Field, ErrorMessage } from 'formik'; +import '../../../styles/login.css'; +import LoadingIcon from '../../icons/LoadingIcon'; +import logo from '../Root/assets/dj-logo.png'; +import GitHubLoginButton from './assets/sign-in-with-github.png'; +import GoogleLoginButton from './assets/sign-in-with-google.png'; +import * as Yup from 'yup'; + +const githubLoginURL = new URL('/github/login/', process.env.REACT_APP_DJ_URL); +const googleLoginURL = new URL('/google/login/', process.env.REACT_APP_DJ_URL); + +const LoginSchema = Yup.object().shape({ + username: Yup.string() + .min(2, 'Must be at least 2 characters') + .required('Username is required'), + password: Yup.string().required('Password is required'), +}); + +export default function LoginForm({ setShowSignup }) { + const [, setError] = useState(''); + + // Add the path that the user was trying to access in order to properly redirect after auth + githubLoginURL.searchParams.append('target', window.location.pathname); + googleLoginURL.searchParams.append('target', window.location.pathname); + + const handleBasicLogin = async ({ username, password }) => { + const data = new FormData(); + data.append('username', username); + data.append('password', password); + await fetch(`${process.env.REACT_APP_DJ_URL}/basic/login/`, { + method: 'POST', + body: data, + credentials: 'include', + }).catch(error => { + setError(error ? JSON.stringify(error) : ''); + }); + window.location.reload(); + }; + + return ( + { + setTimeout(() => { + handleBasicLogin(values); + setSubmitting(false); + }, 400); + }} + > + {({ isSubmitting }) => ( +
+
+ DJ Logo +

DataJunction

+
+
+ +
+
+ +
+
+ +
+
+ +
+
+

+ Don't have an account yet?{' '} + setShowSignup(true)}>Sign Up +

+
+ +
+

Or

+
+ {process.env.REACT_ENABLE_GITHUB_OAUTH === 'true' ? ( +
+ + Sign in with GitHub + +
+ ) : ( + '' + )} + {process.env.REACT_ENABLE_GOOGLE_OAUTH === 'true' ? ( +
+ + Sign in with Google + +
+ ) : ( + '' + )} +
+ )} + + ); +} diff --git a/datajunction-ui/src/app/pages/LoginPage/SignupForm.jsx b/datajunction-ui/src/app/pages/LoginPage/SignupForm.jsx new file mode 100644 index 000000000..7315346c4 --- /dev/null +++ b/datajunction-ui/src/app/pages/LoginPage/SignupForm.jsx @@ -0,0 +1,156 @@ +import { useState } from 'react'; +import { Formik, Form, Field, ErrorMessage } from 'formik'; +import '../../../styles/login.css'; +import logo from '../Root/assets/dj-logo.png'; +import LoadingIcon from '../../icons/LoadingIcon'; +import GitHubLoginButton from './assets/sign-in-with-github.png'; +import GoogleLoginButton from './assets/sign-in-with-google.png'; +import * as Yup from 'yup'; + +const githubLoginURL = new URL('/github/login/', process.env.REACT_APP_DJ_URL); +const googleLoginURL = new URL('/google/login/', process.env.REACT_APP_DJ_URL); + +const SignupSchema = Yup.object().shape({ + email: Yup.string().email('Invalid email').required('Email is required'), + signupUsername: Yup.string() + .min(3, 'Must be at least 2 characters') + .max(20, 'Must be less than 20 characters') + .required('Username is required'), + signupPassword: Yup.string().required('Password is required'), +}); + +export default function SignupForm({ setShowSignup }) { + const [, setError] = useState(''); + + // Add the path that the user was trying to access in order to properly redirect after auth + githubLoginURL.searchParams.append('target', window.location.pathname); + googleLoginURL.searchParams.append('target', window.location.pathname); + + const handleBasicSignup = async ({ + email, + signupUsername, + signupPassword, + }) => { + const data = new FormData(); + data.append('email', email); + data.append('username', signupUsername); + data.append('password', signupPassword); + await fetch(`${process.env.REACT_APP_DJ_URL}/basic/user/`, { + method: 'POST', + body: data, + credentials: 'include', + }).catch(error => { + setError(error ? JSON.stringify(error) : ''); + }); + const loginData = new FormData(); + loginData.append('username', signupUsername); + loginData.append('password', signupPassword); + await fetch(`${process.env.REACT_APP_DJ_URL}/basic/login/`, { + method: 'POST', + body: data, + credentials: 'include', + }).catch(error => { + setError(error ? JSON.stringify(error) : ''); + }); + window.location.reload(); + }; + + return ( + { + setTimeout(() => { + handleBasicSignup(values); + setSubmitting(false); + }, 400); + }} + > + {({ isSubmitting }) => ( +
+
+ DJ Logo +

DataJunction

+
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+

+ Have an account already?{' '} + setShowSignup(false)}>Login +

+
+ +
+

Or

+
+ {process.env.REACT_ENABLE_GITHUB_OAUTH === 'true' ? ( +
+ + Sign in with GitHub + +
+ ) : ( + '' + )} + {process.env.REACT_ENABLE_GOOGLE_OAUTH === 'true' ? ( +
+ + Sign in with Google + +
+ ) : ( + '' + )} +
+ )} + + ); +} diff --git a/datajunction-ui/src/app/pages/LoginPage/__tests__/index.test.jsx b/datajunction-ui/src/app/pages/LoginPage/__tests__/index.test.jsx new file mode 100644 index 000000000..761e4c96a --- /dev/null +++ b/datajunction-ui/src/app/pages/LoginPage/__tests__/index.test.jsx @@ -0,0 +1,97 @@ +import React from 'react'; +import { render, fireEvent, waitFor } from '@testing-library/react'; +import { LoginPage } from '../index'; + +describe('LoginPage', () => { + const original = window.location; + + beforeAll(() => { + Object.defineProperty(window, 'location', { + configurable: true, + value: { reload: jest.fn() }, + }); + }); + + afterAll(() => { + Object.defineProperty(window, 'location', { + configurable: true, + value: original, + }); + }); + + beforeEach(() => { + fetch.resetMocks(); + }); + + afterEach(() => { + jest.clearAllMocks(); + }); + + it('displays error messages when fields are empty and form is submitted', async () => { + const { getByText, queryAllByText } = render(); + fireEvent.click(getByText('Login')); + + await waitFor(() => { + expect(getByText('DataJunction')).toBeInTheDocument(); + expect(getByText('Username is required')).toBeInTheDocument(); + expect(getByText('Password is required')).toBeInTheDocument(); + }); + }); + + it('calls fetch with correct data on login', async () => { + const username = 'testUser'; + const password = 'testPassword'; + + const { getByText, getByPlaceholderText } = render(); + fireEvent.change(getByPlaceholderText('Username'), { + target: { value: username }, + }); + fireEvent.change(getByPlaceholderText('Password'), { + target: { value: password }, + }); + fireEvent.click(getByText('Login')); + + await waitFor(() => { + expect(fetch).toHaveBeenCalledWith( + `${process.env.REACT_APP_DJ_URL}/basic/login/`, + expect.objectContaining({ + method: 'POST', + body: expect.any(FormData), + credentials: 'include', + }), + ); + expect(window.location.reload).toHaveBeenCalled(); + }); + }); + + it('calls fetch with correct data on signup', async () => { + const email = 'testEmail@testEmail.com'; + const username = 'testUser'; + const password = 'testPassword'; + + const { getByText, getByPlaceholderText } = render(); + fireEvent.click(getByText('Sign Up')); + fireEvent.change(getByPlaceholderText('Email'), { + target: { value: email }, + }); + fireEvent.change(getByPlaceholderText('Username'), { + target: { value: username }, + }); + fireEvent.change(getByPlaceholderText('Password'), { + target: { value: password }, + }); + fireEvent.click(getByText('Sign Up')); + + await waitFor(() => { + expect(fetch).toHaveBeenCalledWith( + `${process.env.REACT_APP_DJ_URL}/basic/user/`, + expect.objectContaining({ + method: 'POST', + body: expect.any(FormData), + credentials: 'include', + }), + ); + expect(window.location.reload).toHaveBeenCalled(); + }); + }); +}); diff --git a/datajunction-ui/src/app/pages/LoginPage/assets/sign-in-with-github.png b/datajunction-ui/src/app/pages/LoginPage/assets/sign-in-with-github.png new file mode 100644 index 000000000..d497cc9be Binary files /dev/null and b/datajunction-ui/src/app/pages/LoginPage/assets/sign-in-with-github.png differ diff --git a/datajunction-ui/src/app/pages/LoginPage/assets/sign-in-with-google.png b/datajunction-ui/src/app/pages/LoginPage/assets/sign-in-with-google.png new file mode 100644 index 000000000..bfc343b72 Binary files /dev/null and b/datajunction-ui/src/app/pages/LoginPage/assets/sign-in-with-google.png differ diff --git a/datajunction-ui/src/app/pages/LoginPage/index.jsx b/datajunction-ui/src/app/pages/LoginPage/index.jsx new file mode 100644 index 000000000..72eb6ee6a --- /dev/null +++ b/datajunction-ui/src/app/pages/LoginPage/index.jsx @@ -0,0 +1,17 @@ +import { useState } from 'react'; +import '../../../styles/login.css'; +import SignupForm from './SignupForm'; +import LoginForm from './LoginForm'; + +export function LoginPage() { + const [showSignup, setShowSignup] = useState(false); + return ( +
+ {showSignup ? ( + + ) : ( + + )} +
+ ); +} diff --git a/datajunction-ui/src/app/pages/NamespacePage/AddNamespacePopover.jsx b/datajunction-ui/src/app/pages/NamespacePage/AddNamespacePopover.jsx new file mode 100644 index 000000000..8272f58dd --- /dev/null +++ b/datajunction-ui/src/app/pages/NamespacePage/AddNamespacePopover.jsx @@ -0,0 +1,85 @@ +import { useContext, useState } from 'react'; +import * as React from 'react'; +import DJClientContext from '../../providers/djclient'; +import { ErrorMessage, Field, Form, Formik } from 'formik'; +import AddItemIcon from '../../icons/AddItemIcon'; +import { displayMessageAfterSubmit } from '../../../utils/form'; + +export default function AddNamespacePopover({ namespace }) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const [popoverAnchor, setPopoverAnchor] = useState(false); + + const addNamespace = async ({ namespace }, { setSubmitting, setStatus }) => { + setSubmitting(false); + const response = await djClient.addNamespace(namespace); + if (response.status === 200 || response.status === 201) { + setStatus({ success: 'Saved' }); + } else { + setStatus({ + failure: `${response.json.message}`, + }); + } + window.location.reload(); + }; + + return ( + <> + +
+ + {function Render({ isSubmitting, status, setFieldValue }) { + return ( +
+ {displayMessageAfterSubmit(status)} + + + + + + +
+ ); + }} + +
+ + ); +} diff --git a/datajunction-ui/src/app/pages/NamespacePage/CompactSelect.jsx b/datajunction-ui/src/app/pages/NamespacePage/CompactSelect.jsx new file mode 100644 index 000000000..f1e54619e --- /dev/null +++ b/datajunction-ui/src/app/pages/NamespacePage/CompactSelect.jsx @@ -0,0 +1,100 @@ +import Select from 'react-select'; + +// Compact select with label above - saves horizontal space +export default function CompactSelect({ + label, + name, + options, + value, + onChange, + isMulti = false, + isClearable = true, + placeholder = 'Select...', + minWidth = '100px', + flex = 1, + isLoading = false, + testId = null, +}) { + // For single select, find the matching option + // For multi select, filter to matching options + const selectedValue = isMulti + ? value?.length + ? options.filter(o => value.includes(o.value)) + : [] + : value + ? options.find(o => o.value === value) + : null; + + return ( +
+ + setNewNamespace(e.target.value)} + onKeyDown={handleKeyDown} + placeholder="New namespace name" + style={{ + padding: '4px 8px', + fontSize: '0.875rem', + border: '1px solid #ccc', + borderRadius: '4px', + flex: 1, + }} + /> + +
+ {error && ( + + {error} + + )} + + + )} + {items.children && + items.children.map((item, index) => ( +
+
+ +
+
+ ))} + + )} + + ); +}; + +export default Explorer; diff --git a/datajunction-ui/src/app/pages/NamespacePage/Loadable.jsx b/datajunction-ui/src/app/pages/NamespacePage/Loadable.jsx new file mode 100644 index 000000000..d4fa9fff2 --- /dev/null +++ b/datajunction-ui/src/app/pages/NamespacePage/Loadable.jsx @@ -0,0 +1,16 @@ +/** + * Asynchronously loads the component for namespaces node-viewing page + */ + +import * as React from 'react'; +import { lazyLoad } from '../../../utils/loadable'; + +export const NamespacePage = props => { + return lazyLoad( + () => import('./index'), + module => module.NamespacePage, + { + fallback:
, + }, + )(props); +}; diff --git a/datajunction-ui/src/app/pages/NamespacePage/NodeModeSelect.jsx b/datajunction-ui/src/app/pages/NamespacePage/NodeModeSelect.jsx new file mode 100644 index 000000000..5d358dc83 --- /dev/null +++ b/datajunction-ui/src/app/pages/NamespacePage/NodeModeSelect.jsx @@ -0,0 +1,30 @@ +import Select from 'react-select'; +import Control from './FieldControl'; + +const options = [ + { value: 'published', label: 'Published' }, + { value: 'draft', label: 'Draft' }, +]; + +export default function NodeModeSelect({ onChange, value }) { + return ( + + + updateFilters({ + ...filters, + missingDescription: e.target.checked, + }) + } + /> + Missing Description + + + + + )} + + + + +
+
+
+ + Namespaces + +
+ {namespaceHierarchy + ? namespaceHierarchy.map(child => ( + + )) + : null} +
+
+ + { + e.currentTarget.style.color = '#333333'; + }} + onMouseOut={e => { + e.currentTarget.style.color = '#475569'; + }} + title="Export namespace to YAML" + > + + + + + + + + + + + + {fields.map(field => { + const thStyle = { + fontFamily: + "'Inter', -apple-system, BlinkMacSystemFont, sans-serif", + fontSize: '11px', + fontWeight: '600', + textTransform: 'uppercase', + letterSpacing: '0.5px', + color: '#64748b', + padding: '12px 16px', + borderBottom: '1px solid #e2e8f0', + backgroundColor: 'transparent', + }; + return ( + + ); + })} + + + + {nodesList} + + + + + +
+ + + Actions +
+ {retrieved && hasPrevPage ? ( + + ← Previous + + ) : ( + '' + )} + {retrieved && hasNextPage ? ( + + Next → + + ) : ( + '' + )} +
+
+
+ + + + ); +} diff --git a/datajunction-ui/src/app/pages/NodePage/AddBackfillPopover.jsx b/datajunction-ui/src/app/pages/NodePage/AddBackfillPopover.jsx new file mode 100644 index 000000000..47e2d3dea --- /dev/null +++ b/datajunction-ui/src/app/pages/NodePage/AddBackfillPopover.jsx @@ -0,0 +1,165 @@ +import { useContext, useEffect, useRef, useState } from 'react'; +import * as React from 'react'; +import DJClientContext from '../../providers/djclient'; +import { Field, Form, Formik } from 'formik'; +import { displayMessageAfterSubmit } from '../../../utils/form'; +import PartitionValueForm from './PartitionValueForm'; +import LoadingIcon from '../../icons/LoadingIcon'; + +export default function AddBackfillPopover({ + node, + materialization, + onSubmit, +}) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const [popoverAnchor, setPopoverAnchor] = useState(false); + const ref = useRef(null); + + useEffect(() => { + const handleClickOutside = event => { + if (ref.current && !ref.current.contains(event.target)) { + setPopoverAnchor(false); + } + }; + document.addEventListener('click', handleClickOutside, true); + return () => { + document.removeEventListener('click', handleClickOutside, true); + }; + }, [setPopoverAnchor]); + + const partitionColumns = node.columns.filter(col => col.partition !== null); + const initialValues = { + node: node.name, + materializationName: materialization.name, + partitionValues: {}, + }; + + for (const partitionCol of partitionColumns) { + if (partitionCol.partition.type_ === 'temporal') { + initialValues.partitionValues[partitionCol.name] = { + from: '', + to: '', + }; + } else { + initialValues.partitionValues[partitionCol.name] = ''; + } + } + + const runBackfill = async (values, setStatus) => { + const response = await djClient.runBackfill( + values.node, + values.materializationName, + Object.entries(values.partitionValues).map(entry => { + if (typeof entry[1] === 'object' && entry[1] !== null) { + return { + columnName: entry[0], + range: [entry[1].from, entry[1].to], + }; + } + return { + columnName: entry[0], + values: [entry[1]], + }; + }), + ); + if (response.status === 200 || response.status === 201) { + setStatus({ success: 'Saved!' }); + } else { + setStatus({ + failure: `${response.json.message}`, + }); + } + }; + + const submitBackfill = async (values, { setSubmitting, setStatus }) => { + await runBackfill(values, setStatus).then(_ => { + window.scrollTo({ top: 0, left: 0, behavior: 'smooth' }); + setSubmitting(false); + }); + }; + + return ( + <> + +
+
+ + {function Render({ isSubmitting, status, setFieldValue }) { + return ( +
+ {displayMessageAfterSubmit(status)} +

Run Backfill

+ + + + + + +
+
+ + {node.columns + .filter(col => col.partition !== null) + .map(col => { + return ( + + ); + })} +
+ + + ); + }} +
+
+ + ); +} diff --git a/datajunction-ui/src/app/pages/NodePage/AddComplexDimensionLinkPopover.jsx b/datajunction-ui/src/app/pages/NodePage/AddComplexDimensionLinkPopover.jsx new file mode 100644 index 000000000..c6d99f09e --- /dev/null +++ b/datajunction-ui/src/app/pages/NodePage/AddComplexDimensionLinkPopover.jsx @@ -0,0 +1,367 @@ +import { useContext, useEffect, useRef, useState } from 'react'; +import * as React from 'react'; +import DJClientContext from '../../providers/djclient'; +import { ErrorMessage, Field, Form, Formik } from 'formik'; +import { FormikSelect } from '../AddEditNodePage/FormikSelect'; +import AddItemIcon from '../../icons/AddItemIcon'; +import { displayMessageAfterSubmit } from '../../../utils/form'; +import LoadingIcon from '../../icons/LoadingIcon'; +import CodeMirror from '@uiw/react-codemirror'; +import { langs } from '@uiw/codemirror-extensions-langs'; + +export default function AddComplexDimensionLinkPopover({ + node, + dimensions, + existingLink = null, + isEditMode = false, + onSubmit, +}) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const [popoverAnchor, setPopoverAnchor] = useState(false); + const ref = useRef(null); + + useEffect(() => { + const handleClickOutside = event => { + if (ref.current && !ref.current.contains(event.target)) { + setPopoverAnchor(false); + } + }; + document.addEventListener('click', handleClickOutside, true); + return () => { + document.removeEventListener('click', handleClickOutside, true); + }; + }, [setPopoverAnchor]); + + const joinTypeOptions = [ + { value: 'left', label: 'LEFT' }, + { value: 'right', label: 'RIGHT' }, + { value: 'inner', label: 'INNER' }, + { value: 'full', label: 'FULL' }, + { value: 'cross', label: 'CROSS' }, + ]; + + const joinCardinalityOptions = [ + { value: 'one_to_one', label: 'ONE TO ONE' }, + { value: 'one_to_many', label: 'ONE TO MANY' }, + { value: 'many_to_one', label: 'MANY TO ONE' }, + { value: 'many_to_many', label: 'MANY TO MANY' }, + ]; + + const handleSubmit = async (values, { setSubmitting, setStatus }) => { + try { + // If editing, remove the old link first + if (isEditMode && existingLink) { + await djClient.removeComplexDimensionLink( + node.name, + existingLink.dimension.name, + existingLink.role, + ); + } + + // Add the new/updated link + const response = await djClient.addComplexDimensionLink( + node.name, + values.dimensionNode, + values.joinOn.trim(), + values.joinType || 'left', + values.joinCardinality || 'many_to_one', + values.role?.trim() || null, + ); + + if (response.status === 200 || response.status === 201) { + setStatus({ + success: `Complex dimension link ${ + isEditMode ? 'updated' : 'added' + } successfully!`, + }); + setTimeout(() => { + setPopoverAnchor(false); + window.location.reload(); + }, 1000); + } else { + setStatus({ + failure: + response.json?.message || + `Failed to ${isEditMode ? 'update' : 'add'} link`, + }); + } + } catch (error) { + setStatus({ failure: error.message }); + } finally { + setSubmitting(false); + } + }; + + return ( + <> + {isEditMode ? ( + + ) : ( + + )} + {popoverAnchor && ( + <> + {/* Backdrop overlay */} +
setPopoverAnchor(false)} + > + {/* Modal */} +
e.stopPropagation()} + style={{ + backgroundColor: 'white', + borderRadius: '8px', + boxShadow: '0 4px 20px rgba(0, 0, 0, 0.15)', + width: '65%', + maxWidth: '100%', + maxHeight: '100%', + overflow: 'visible', + padding: '1.5rem', + textTransform: 'none', + fontWeight: 'normal', + position: 'relative', + zIndex: 1000, + }} + > +
+ { + const errors = {}; + if (!values.dimensionNode) { + errors.dimensionNode = 'Required'; + } + if (!values.joinOn) { + errors.joinOn = 'Required'; + } + return errors; + }} + > + {function Render({ isSubmitting, status, values }) { + return ( +
+

+ {isEditMode ? 'Edit' : 'Add'} Complex Dimension Link +

+ {displayMessageAfterSubmit(status)} + +
+ + + {isEditMode ? ( +
+ {existingLink?.dimension.name} + + To link a different dimension node, remove this + link and create a new one + +
+ ) : ( + + )} +
+ +
+
+ + opt.value === values.joinType, + ) + : null + } + /> +
+
+ + + opt.value === values.joinCardinality, + ) + : null + } + /> +
+
+ +
+ + + + Specify the join condition + + + {({ field, form }) => ( +
+ { + form.setFieldValue('joinOn', value); + }} + /> +
+ )} + +
+ +
+ + + + Optional role if linking the same dimension multiple + times + +
+ + +
+ ); + }} + +
+
+
+ + )} + + ); +} diff --git a/datajunction-ui/src/app/pages/NodePage/AddMaterializationPopover.jsx b/datajunction-ui/src/app/pages/NodePage/AddMaterializationPopover.jsx new file mode 100644 index 000000000..86d02ea42 --- /dev/null +++ b/datajunction-ui/src/app/pages/NodePage/AddMaterializationPopover.jsx @@ -0,0 +1,222 @@ +import { useContext, useEffect, useRef, useState } from 'react'; +import * as React from 'react'; +import DJClientContext from '../../providers/djclient'; +import { ErrorMessage, Field, Form, Formik } from 'formik'; +import { displayMessageAfterSubmit, labelize } from '../../../utils/form'; +import { ConfigField } from './MaterializationConfigField'; +import LoadingIcon from '../../icons/LoadingIcon'; + +export default function AddMaterializationPopover({ node, onSubmit }) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const [popoverAnchor, setPopoverAnchor] = useState(false); + const [options, setOptions] = useState([]); + const [jobs, setJobs] = useState([]); + + const timePartitionColumns = node.columns.filter(col => col.partition); + + const ref = useRef(null); + + useEffect(() => { + const fetchData = async () => { + const options = await djClient.materializationInfo(); + setOptions(options); + const allowedJobs = options.job_types?.filter(job => + job.allowed_node_types.includes(node.type), + ); + setJobs(allowedJobs); + }; + fetchData().catch(console.error); + const handleClickOutside = event => { + if (ref.current && !ref.current.contains(event.target)) { + setPopoverAnchor(false); + } + }; + document.addEventListener('click', handleClickOutside, true); + return () => { + document.removeEventListener('click', handleClickOutside, true); + }; + }, [djClient, setPopoverAnchor]); + + const materialize = async (values, setStatus) => { + const config = {}; + config.spark = values.spark_config; + config.lookback_window = values.lookback_window; + if (!values.job_type) { + values.job_type = 'spark_sql'; + } + const { status, json } = + values.job_type === 'druid_cube' + ? await djClient.materializeCube( + values.node, + values.job_type, + values.strategy, + values.schedule, + values.lookback_window, + ) + : await djClient.materialize( + values.node, + values.job_type, + values.strategy, + values.schedule, + config, + ); + if (status === 200 || status === 201) { + setStatus({ success: json.message }); + window.location.reload(); + } else { + setStatus({ + failure: `${json.message}`, + }); + } + }; + + const configureMaterialization = async ( + values, + { setSubmitting, setStatus }, + ) => { + await materialize(values, setStatus).then(_ => { + window.scrollTo({ top: 0, left: 0, behavior: 'smooth' }); + setSubmitting(false); + }); + }; + + return ( + <> + +
+
+ + {function Render({ isSubmitting, status, setFieldValue }) { + return ( +
+

Configure Materialization for the Latest Node Version

+ {displayMessageAfterSubmit(status)} + {node.type === 'cube' ? ( + + + + + <> + + + +
+
+ + ) : ( + '' + )} + + + + + <> + + + + + +
+
+ + +
+
+
+ + + +
+
+ +
+ +
+ + ); + }} +
+
+ + ); +} diff --git a/datajunction-ui/src/app/pages/NodePage/AvailabilityStateBlock.jsx b/datajunction-ui/src/app/pages/NodePage/AvailabilityStateBlock.jsx new file mode 100644 index 000000000..f933287da --- /dev/null +++ b/datajunction-ui/src/app/pages/NodePage/AvailabilityStateBlock.jsx @@ -0,0 +1,67 @@ +import TableIcon from '../../icons/TableIcon'; + +export default function AvailabilityStateBlock({ availability }) { + return ( + + + + + + + + + + + + + + + + + +
Output DatasetValid ThroughPartitionsLinks
+
+
+ {' '} + + {availability.catalog + '.' + availability.schema_} + +
+ +
+ 		{new Date(availability.valid_through_ts).toISOString()} + + + {availability.min_temporal_partition?.join(', ') || 'N/A'} + + to + + {availability.max_temporal_partition?.join(', ') || 'N/A'} + + + + {availability.links && + Object.keys(availability.links).length > 0 ? ( + Object.entries(availability.links).map(([key, value]) => ( + + )) + ) : ( + <> + )} +
+ ); +} diff --git a/datajunction-ui/src/app/pages/NodePage/ClientCodePopover.jsx b/datajunction-ui/src/app/pages/NodePage/ClientCodePopover.jsx new file mode 100644 index 000000000..2c355ff6e --- /dev/null +++ b/datajunction-ui/src/app/pages/NodePage/ClientCodePopover.jsx @@ -0,0 +1,116 @@ +import DJClientContext from '../../providers/djclient'; +import { Light as SyntaxHighlighter } from 'react-syntax-highlighter'; +import { useEffect, useRef, useState, useContext } from 'react'; +import { nightOwl } from 'react-syntax-highlighter/dist/esm/styles/hljs'; +import PythonIcon from '../../icons/PythonIcon'; +import LoadingIcon from 'app/icons/LoadingIcon'; + +export default function ClientCodePopover({ nodeName }) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const [showModal, setShowModal] = useState(false); + const modalRef = useRef(null); + const [code, setCode] = useState(null); + + useEffect(() => { + async function fetchCode() { + try { + const code = await djClient.clientCode(nodeName); + setCode(code); + } catch (err) { + console.log(err); + } + } + fetchCode(); + }, [nodeName, djClient]); + + useEffect(() => { + const handleClickOutside = event => { + if (modalRef.current && !modalRef.current.contains(event.target)) { + setShowModal(false); + } + }; + + if (showModal) { + document.addEventListener('mousedown', handleClickOutside); + } else { + document.removeEventListener('mousedown', handleClickOutside); + } + + return () => { + document.removeEventListener('mousedown', handleClickOutside); + }; + }, [showModal]); + + return ( + <> + + + {showModal && ( +
+
+ +

Python Client Code

+ {code ? ( + + {code} + + ) : ( + <> + + + )} +
+
+ )} + + ); +} diff --git a/datajunction-ui/src/app/pages/NodePage/DimensionFilter.jsx b/datajunction-ui/src/app/pages/NodePage/DimensionFilter.jsx new file mode 100644 index 000000000..d6a479bb4 --- /dev/null +++ b/datajunction-ui/src/app/pages/NodePage/DimensionFilter.jsx @@ -0,0 +1,86 @@ +import { useContext, useEffect, useState } from 'react'; +import * as React from 'react'; +import DJClientContext from '../../providers/djclient'; +import CreatableSelect from 'react-select/creatable'; + +export default function DimensionFilter({ dimension, onChange }) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const [dimensionValues, setDimensionValues] = useState([]); + + useEffect(() => { + const fetchData = async () => { + const dimensionNode = await djClient.node(dimension.metadata.node_name); + + // Only include the primary keys as filterable dimensions for now, until we figure out how + // to build a manageable UI experience around all dimensional attributes + if (dimensionNode && dimensionNode.type === 'dimension') { + const primaryKey = + dimensionNode.name + + '.' + + dimensionNode.columns + .filter(col => + col.attributes.some( + attr => attr.attribute_type.name === 'primary_key', + ), + ) + .map(col => col.name); + const label = + dimensionNode.name + + '.' + + dimensionNode.columns + .filter(col => + col.attributes.some(attr => attr.attribute_type.name === 'label'), + ) + .map(col => col.name); + + const data = await djClient.nodeData(dimension.metadata.node_name); + /* istanbul ignore if */ + if (dimensionNode && data.results && data.results.length > 0) { + const columnNames = data.results[0].columns.map( + column => column.semantic_entity, + ); + const dimValues = data.results[0].rows.map(row => { + const rowData = { value: '', label: '' }; + row.forEach((value, index) => { + if (columnNames[index] === primaryKey) { + rowData.value = value; + if (rowData.label === '') { + rowData.label = value; + } + } else if (columnNames[index] === label) { + rowData.label = value; + } + }); + return rowData; + }); + setDimensionValues(dimValues); + } + } + }; + fetchData().catch(console.error); + }, [dimension.metadata.node_name, djClient]); + + return ( +
+ {dimension.label.split('[').slice(0)[0]} ( + { + + {dimension.metadata.node_display_name} + + } + ) + { + onChange({ + dimension: dimension.value, + values: event, + }); + }} + /> +
+ ); +} diff --git a/datajunction-ui/src/app/pages/NodePage/EditColumnDescriptionPopover.jsx b/datajunction-ui/src/app/pages/NodePage/EditColumnDescriptionPopover.jsx new file mode 100644 index 000000000..134e2a08a --- /dev/null +++ b/datajunction-ui/src/app/pages/NodePage/EditColumnDescriptionPopover.jsx @@ -0,0 +1,116 @@ +import { useContext, useEffect, useRef, useState } from 'react'; +import * as React from 'react'; +import DJClientContext from '../../providers/djclient'; +import { Form, Formik } from 'formik'; +import EditIcon from '../../icons/EditIcon'; +import { displayMessageAfterSubmit } from '../../../utils/form'; + +export default function EditColumnDescriptionPopover({ + column, + node, + onSubmit, +}) { + const djClient = useContext(DJClientContext).DataJunctionAPI; + const [popoverAnchor, setPopoverAnchor] = useState(false); + const ref = useRef(null); + + useEffect(() => { + const handleClickOutside = event => { + if (ref.current && !ref.current.contains(event.target)) { + setPopoverAnchor(false); + } + }; + document.addEventListener('click', handleClickOutside, true); + return () => { + document.removeEventListener('click', handleClickOutside, true); + }; + }, [setPopoverAnchor]); + + const saveDescription = async ( + { node, column, description }, + { setSubmitting, setStatus }, + ) => { + setSubmitting(false); + const response = await djClient.setColumnDescription( + node, + column, + description, + ); + if (response.status === 200 || response.status === 201) { + setStatus({ success: 'Saved!' }); + } else { + setStatus({ + failure: `${response.json.message}`, + }); + } + onSubmit(); + }; + + return ( + <> + +
+ + {function Render({ isSubmitting, status, setFieldValue }) { + return ( +
+ {displayMessageAfterSubmit(status)} +
+ +