Add private API to log a trace directly to backend (#14069) #3
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| name: protobuf cross tests | |
| on: | |
| pull_request: | |
| types: | |
| - opened | |
| - synchronize | |
| - reopened | |
| - ready_for_review | |
| paths: | |
| - "mlflow/protos/**" | |
| - .github/workflows/protobuf-cross-test.yml | |
| push: | |
| branches: | |
| - master | |
| - branch-[0-9]+.[0-9]+ | |
| paths: | |
| - "mlflow/protos/**" | |
| - .github/workflows/protobuf-cross-test.yml | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event_name }}-${{ github.ref }} | |
| cancel-in-progress: true | |
| # Use `bash --noprofile --norc -exo pipefail` by default for all `run` steps in this workflow: | |
| # https://docs.github.com/en/actions/reference/workflow-syntax-for-github-actions#defaultsrun | |
| defaults: | |
| run: | |
| shell: bash --noprofile --norc -exo pipefail {0} | |
| env: | |
| MLFLOW_HOME: /home/runner/work/mlflow/mlflow | |
| # Note miniconda is pre-installed in the virtual environments for GitHub Actions: | |
| # https://github.com/actions/virtual-environments/blob/main/images/linux/scripts/installers/miniconda.sh | |
| MLFLOW_CONDA_HOME: /usr/share/miniconda | |
| SPARK_LOCAL_IP: localhost | |
| PYTHONUTF8: "1" | |
| jobs: | |
| core_tests: | |
| if: github.event_name != 'pull_request' || github.event.pull_request.draft == false | |
| runs-on: ubuntu-latest | |
| timeout-minutes: 120 | |
| permissions: {} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| group: [1, 2] | |
| protobuf_major_version: [3, 4, 5] | |
| include: | |
| - splits: 2 | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| submodules: recursive | |
| - uses: ./.github/actions/untracked | |
| - uses: ./.github/actions/free-disk-space | |
| - uses: ./.github/actions/setup-python | |
| - uses: ./.github/actions/setup-pyenv | |
| - uses: ./.github/actions/setup-java | |
| - name: Install dependencies | |
| run: | | |
| pip install --no-dependencies tests/resources/mlflow-test-plugin | |
| pip install .[extras,genai] | |
| pip install pyspark | |
| # Install Hugging Face datasets to test Hugging Face usage with MLflow dataset tracking | |
| pip install datasets | |
| # Install TensorFlow to test TensorFlow dataset usage with MLflow dataset tracking | |
| pip install tensorflow | |
| # Install torch and transformers to test metrics | |
| pip install torch transformers tf-keras | |
| pip install -r requirements/test-requirements.txt | |
| # Test the latest minor version in protobuf_major_version | |
| pip install "protobuf==${{ matrix.protobuf_major_version }}.*" | |
| - uses: ./.github/actions/show-versions | |
| - uses: ./.github/actions/pipdeptree | |
| - name: Run tests | |
| run: | | |
| pytest --splits=${{ matrix.splits }} --group=${{ matrix.group }} \ | |
| --ignore-flavors --ignore=tests/projects --ignore=tests/examples --ignore=tests/recipes --ignore=tests/evaluate --ignore tests/deployments/server \ | |
| tests |