CI Overhaul #30
Workflow file for this run
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| name: Master | |
| on: | |
| push: | |
| branches: | |
| - master | |
| paths-ignore: | |
| - "docs/**" | |
| pull_request: | |
| paths-ignore: | |
| - "docs/**" | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| # This is the build system for the new example directory structure | |
| list_examples: | |
| runs-on: ubuntu-latest | |
| name: "Create a list of example packages" | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - name: "Provide the list" | |
| id: create-example-list | |
| run: | | |
| echo "PACKAGES=$(find examples -maxdepth 1 -type d -exec basename '{}' \; \ | |
| | grep -v -e 'testing' -e 'examples' \ | |
| | grep -v -e 'airflow_plugin' -e 'forecasting_sales' -e 'onnx_plugin' -e 'feast_integration' -e 'modin_plugin' -e 'sagemaker_inference_agent' \ | |
| | sort \ | |
| | jq --raw-input . \ | |
| | jq --slurp . \ | |
| | jq -c .)" >> "$GITHUB_OUTPUT" | |
| outputs: | |
| packages: "${{ steps.create-example-list.outputs.PACKAGES }}" | |
| serialize: | |
| needs: [list_examples] | |
| runs-on: "ubuntu-latest" | |
| env: | |
| FLYTE_SDK_RICH_TRACEBACKS: "0" | |
| PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION: python | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| example: "${{ fromJson(needs.list_examples.outputs.packages) }}" | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: "3.10" | |
| - name: Cache pip | |
| uses: actions/cache@v3 | |
| with: | |
| # This path is specific to Ubuntu | |
| path: ~/.cache/pip | |
| # Look to see if there is a cache hit for the corresponding requirements files | |
| key: ${{ format('{0}-pip-{1}', runner.os, hashFiles('dev-requirements.in', 'requirements.in')) }} | |
| - name: Install dependencies | |
| working-directory: examples/${{ matrix.example }} | |
| run: | | |
| pip install uv | |
| uv venv | |
| source .venv/bin/activate | |
| uv pip install flytekit flytekitplugins-envd | |
| if [ -f requirements.in ]; then uv pip install -r requirements.in; fi | |
| - name: Login to GitHub Container Registry | |
| uses: docker/login-action@v1 | |
| with: | |
| registry: ghcr.io | |
| username: ${{ secrets.FLYTE_BOT_USERNAME }} | |
| password: ${{ secrets.FLYTE_BOT_PAT }} | |
| - name: Pyflyte package | |
| working-directory: examples/${{ matrix.example }} | |
| run: | | |
| source .venv/bin/activate | |
| pyflyte \ | |
| --pkgs ${{ matrix.example }} package \ | |
| --image mindmeld="ghcr.io/flyteorg/flytecookbook:core-latest" \ | |
| --image borebuster="ghcr.io/flyteorg/flytekit:py3.9-latest" \ | |
| --output /root/flyte-package.tgz \ | |
| --force | |
| tar -xvf flyte-package.tgz | |
| - name: Upload artifacts | |
| uses: actions/upload-artifact@v2 | |
| with: | |
| name: snacks-${{ matrix.example }} | |
| path: examples/${{ matrix.example }}/**/*.pb | |
| # Download all artifacts generated from the previous job. Startup a sandbox cluster then register all of them. | |
| register: | |
| name: Register example to sandbox | |
| runs-on: ubuntu-latest | |
| needs: [ "serialize" ] | |
| steps: | |
| - uses: actions/checkout@v2 | |
| with: | |
| fetch-depth: "0" | |
| - uses: unionai/[email protected] | |
| - name: setup download artifact dir | |
| run: | | |
| mkdir download-artifact | |
| - name: Download artifacts | |
| uses: actions/download-artifact@v2 | |
| with: | |
| path: ./download-artifact/ | |
| - name: setup sandbox | |
| run: | | |
| flytectl demo start | |
| flytectl config init | |
| - name: Register examples | |
| uses: unionai/[email protected] | |
| with: | |
| flytesnacks: false | |
| proto: ./download-artifact/**/* | |
| project: flytesnacks | |
| version: "latest" | |
| domain: development |