name: Python BE E2E Tests run-name: "Python BE E2E Tests ${{ github.ref_name }} by @${{ github.actor }}" permissions: contents: read checks: write pull-requests: write on: workflow_dispatch: pull_request: paths: - 'apps/opik-python-backend/**' - '.github/workflows/python_backend_e2e_tests.yml' push: branches: - 'main' paths: - 'apps/opik-python-backend/**' - '.github/workflows/python_backend_e2e_tests.yml' concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} cancel-in-progress: ${{ github.event_name == 'pull_request' }} env: OPIK_ENABLE_LITELLM_MODELS_MONITORING: False OPIK_SENTRY_ENABLE: False OPIK_URL_OVERRIDE: http://localhost:8080 # The studio job processor streams subprocess logs to the stack's real Redis # (password-protected, port-mapped to localhost by `opik.sh --port-mapping`). # Not required for pass/fail (log flushing is best-effort), but without it the # collector hits localhost:6379 unauthenticated and the log path goes dead. REDIS_URL: redis://:opik@localhost:6379/0 # The Anthropic key is stored in the workspace by the tests (model-storage # principle); the optimizer reaches the provider only through the backend # gateway, never via this directly. ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} # Keep the optimization short — we only need it to start, iterate, and finish. OPTIMIZER_MAX_TRIALS: "1" OPTSTUDIO_DATASET_SAMPLES: "4" jobs: run-python-be-e2e: name: Python BE E2E runs-on: ubuntu-latest timeout-minutes: 30 steps: - name: Checkout uses: actions/checkout@v6 - name: Setup Python 3.12 uses: actions/setup-python@v5 with: python-version: '3.12' - name: Run Opik server env: OPIK_USAGE_REPORT_ENABLED: false COMPOSE_BAKE: false run: | cd ${{ github.workspace }} ./opik.sh --backend --port-mapping --build - name: Check Opik server availability shell: bash run: | chmod +x ${{ github.workspace }}/tests_end_to_end/installer_utils/*.sh cd ${{ github.workspace }}/deployment/docker-compose ${{ github.workspace }}/tests_end_to_end/installer_utils/check_docker_compose_pods.sh ${{ github.workspace }}/tests_end_to_end/installer_utils/check_backend.sh - name: Install opik-python-backend run: | cd ${{ github.workspace }}/apps/opik-python-backend pip install -r requirements.txt -r tests/test_requirements.txt pip install . - name: Run Python BE E2E tests run: | cd ${{ github.workspace }}/apps/opik-python-backend # Retry transient LLM/network failures so a flaky provider call # doesn't fail the run; the assertions themselves are deterministic. # --log-cli-level streams logs live (incl. the subprocess error + # traceback surfaced by process_optimizer_job) so failures are fully # visible even though the optimization runs in a child process. # --durations=0 logs how long each test took. pytest tests/e2e -vv \ --reruns 2 --reruns-delay 5 \ --log-cli-level=INFO \ --durations=0 \ --junitxml=${{ github.workspace }}/python_be_e2e_results.xml - name: Publish Test Report uses: EnricoMi/publish-unit-test-result-action/linux@v2 if: always() with: action_fail: true comment_mode: failures check_name: Python BE E2E Tests Results files: ${{ github.workspace }}/python_be_e2e_results.xml - name: Keep BE logs on failure if: failure() run: | cd ${{ github.workspace }}/deployment/docker-compose docker compose logs backend > ${{ github.workspace }}/backend.log 2>&1 || true docker compose logs python-backend > ${{ github.workspace }}/python-backend.log 2>&1 || true - name: Upload BE logs if: failure() uses: actions/upload-artifact@v4 with: name: python-be-e2e-be-logs path: | ${{ github.workspace }}/backend.log ${{ github.workspace }}/python-backend.log if-no-files-found: ignore