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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: Set up uv
uses: astral-sh/setup-uv@v8.3.2
- 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
uv pip install --system -r requirements.txt -r tests/test_requirements.txt
uv pip install --system .
- 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