update to Spark 4 and use uv as package manager (#13) #128
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| name: CI pipeline | |
| on: | |
| push: | |
| branches: | |
| - '**' | |
| tags-ignore: | |
| - 'v*' # this tag type is used for release pipelines | |
| paths-ignore: | |
| - 'README.md' | |
| - 'docs/**' | |
| jobs: | |
| ci-pipeline: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| max-parallel: 1 | |
| env: | |
| DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }} | |
| DATABRICKS_TOKEN: ${{ secrets.DATABRICKS_TOKEN }} | |
| steps: | |
| - uses: actions/checkout@v1 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.12' | |
| - name: Install uv | |
| uses: astral-sh/setup-uv@v7 | |
| with: | |
| version: "0.9.8" | |
| - name: Install dependencies | |
| run: | | |
| make sync | |
| - name: Run pytest and coverage (unit tests) | |
| run: | | |
| make test | |
| - name: Install Databricks CLI | |
| uses: databricks/setup-cli@main | |
| - name: Deploy on staging | |
| run: | | |
| make deploy-serverless env=staging | |
| - name: Run on staging (integration tests) | |
| run: | | |
| make run env=staging | |
| - name: Deploy on prod | |
| run: | | |
| make deploy-serverless env=prod |