Add performance profiling pipeline to perf tests #88
Workflow file for this run
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| name: Profiling | |
| on: | |
| workflow_dispatch: | |
| pull_request: | |
| branches: [ dev ] | |
| env: | |
| TESTS_DIR_PATH: ".ci/perf_tests/k6scripts/" | |
| PYTHON_VERSION: "3.8" | |
| PORT: 8000 | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| test_to_run: [ SyncHttpTriggerHelloWorld ] | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - name: Set up Python ${{ env.PYTHON_VERSION }} | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: ${{ env.PYTHON_VERSION }} | |
| - name: Set up Dotnet 2.x | |
| uses: actions/setup-dotnet@v1 | |
| with: | |
| dotnet-version: '3.1.405' | |
| - name: Set up Dotnet 6.x | |
| uses: actions/setup-dotnet@v1 | |
| with: | |
| dotnet-version: '6.x' | |
| - name: Install dependencies and the worker | |
| run: | | |
| cd $GITHUB_WORKSPACE | |
| python -m pip install -q --upgrade pip | |
| python -m pip install -q --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple -U -e .[dev] | |
| python -m pip install -q --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple -U azure-functions --pre | |
| python setup.py build | |
| python setup.py webhost --branch-name=dev | |
| python setup.py extension | |
| pip install py-spy | |
| - name: Build and Run the Docker image | |
| run: | | |
| docker build --build-arg PYTHON_VERSION=${{ env.PYTHON_VERSION }} --file .ci/perf_tests/dockerfiles/perf_tests.Dockerfile --tag perfimage:latest . | |
| container_id=$(docker run -d --shm-size="2g" --env FUNCTIONS_WORKER_RUNTIME_VERSION=${{ env.PYTHON_VERSION }} -p ${PORT}:80 -v $GITHUB_WORKSPACE/azure_functions_worker:/azure-functions-host/workers/python/${{ env.PYTHON_VERSION }}/LINUX/X64/azure_functions_worker perfimage:latest) | |
| echo "Container ID is: $container_id" | |
| sleep 10 # host needs some time to start. | |
| echo "Listing Python processes in the Docker container..." | |
| docker ps | |
| docker exec $container_id ps aux | grep '[p]ython' || true | |
| # - name: Generate Worker Performance Summary | |
| # run: | | |
| # py-spy record -o profile.svg -- python |