name: run-test
on: [push]
jobs:
  run:
    runs-on: [ubuntu-latest]
    # optionally use a convenient Ubuntu LTS + CUDA + DVC + CML image
    # container: docker://dvcorg/cml:0-dvc2-base1-gpu
    # container: docker://ghcr.io/iterative/cml:0-dvc2-base1-gpu
    steps:
      - uses: actions/checkout@v2
      - uses: conda-incubator/setup-miniconda@v2
        with:
          auto-update-conda: false
          activate-environment: quant
          environment-file: environment.yml
          python-version: 3.9
      - uses: iterative/setup-cml@v1
      - name: Run pytest
        shell: bash -l {0}
#         env: 
#           WANDB_API_KEY: ${{ secrets.WANDB_API_KEY }}
        run: |
          pytest --junit-xml pytest.xml
      - name: Run pipeline
        shell: bash -l {0}
        run: |
          python run_pipeline.py
      - name: Upload Unit Test Results
        if: always()
        uses: actions/upload-artifact@v2
        with:
          name: Unit Test Results (Python ${{ matrix.python-version }})
          path: pytest.xml
      - name: Publish Unit Test Results
        uses: EnricoMi/publish-unit-test-result-action@v1
        if: always()
        with:
          files: pytest.xml

#       - name: Write CML report
#         env:
#           REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
#         run: |
#           # Post reports as comments in GitHub PRs
#           # cat results.txt >> report.md
#           # cml-send-comment report.md