Azure MLflow Plugin Deployment #17
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| name: Azure MLflow Plugin Deployment | |
| on: | |
| schedule: | |
| - cron: "0 0 * * MON" | |
| workflow_dispatch: | |
| inputs: | |
| image-tag: | |
| description: 'Nebari image tag created by the nebari-docker-images repo' | |
| required: true | |
| default: main | |
| type: string | |
| tf-log-level: | |
| description: 'Change Terraform log levels' | |
| required: false | |
| default: info | |
| type: choice | |
| options: | |
| - info | |
| - warn | |
| - debug | |
| - trace | |
| - error | |
| env: | |
| NEBARI_IMAGE_TAG: ${{ github.event.inputs.image-tag || 'main' }} | |
| TF_LOG: ${{ github.event.inputs.tf-log-level || 'info' }} | |
| jobs: | |
| test-azure-mlflow-integration: | |
| runs-on: ubuntu-latest | |
| if: ${{ vars.SKIP_AZURE_INTEGRATION_TEST != 'true' }} | |
| permissions: | |
| id-token: write | |
| contents: read | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v3 | |
| with: | |
| fetch-depth: 0 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: 3.11 | |
| - name: Install Nebari and MLflow Plugin | |
| run: | | |
| pip install nebari[dev] | |
| pip install . | |
| conda install --quiet --yes conda-build | |
| playwright install | |
| - name: 'Azure login' | |
| uses: azure/login@v2 | |
| with: | |
| client-id: ${{ secrets.ARM_CLIENT_ID }} | |
| tenant-id: ${{ secrets.ARM_TENANT_ID }} | |
| subscription-id: ${{ secrets.ARM_SUBSCRIPTION_ID }} | |
| - name: Create Nebari config with MLflow plugin | |
| run: | | |
| cat > nebari-config.yaml << EOF | |
| project_name: mlflow-test-azure | |
| provider: azure | |
| ci_cd: | |
| type: github-actions | |
| domain: example.com | |
| certificate: | |
| type: lets-encrypt | |
| acme_email: test@example.com | |
| terraform_state: | |
| type: azure | |
| azure: | |
| project: ${{ secrets.ARM_SUBSCRIPTION_ID }} | |
| region: Central US | |
| kubernetes_version: "1.27" | |
| default_images: | |
| jupyterhub: "quay.io/nebari/nebari-jupyterhub:${{ env.NEBARI_IMAGE_TAG }}" | |
| jupyterlab: "quay.io/nebari/nebari-jupyterlab:${{ env.NEBARI_IMAGE_TAG }}" | |
| dask_worker: "quay.io/nebari/nebari-dask-worker:${{ env.NEBARI_IMAGE_TAG }}" | |
| security: | |
| authentication: | |
| type: password | |
| jupyterhub: | |
| overrides: | |
| singleuser: | |
| extraEnv: | |
| MLFLOW_TRACKING_URI: "http://mlflow-test-azure-mlflow-tracking.dev.svc:5000" | |
| mlflow: | |
| enabled: true | |
| EOF | |
| - name: Deploy Nebari with MLflow Plugin | |
| run: | | |
| nebari deploy -c nebari-config.yaml --skip-remote-state-provision | |
| env: | |
| NEBARI_SECRET__default_images__jupyterhub: "quay.io/nebari/nebari-jupyterhub:${{ env.NEBARI_IMAGE_TAG }}" | |
| NEBARI_SECRET__default_images__jupyterlab: "quay.io/nebari/nebari-jupyterlab:${{ env.NEBARI_IMAGE_TAG }}" | |
| NEBARI_SECRET__default_images__dask_worker: "quay.io/nebari/nebari-dask-worker:${{ env.NEBARI_IMAGE_TAG }}" | |
| ARM_CLIENT_ID: ${{ secrets.ARM_CLIENT_ID }} | |
| ARM_TENANT_ID: ${{ secrets.ARM_TENANT_ID }} | |
| ARM_SUBSCRIPTION_ID: ${{ secrets.ARM_SUBSCRIPTION_ID }} | |
| ARM_USE_OIDC: "true" | |
| CLOUDFLARE_TOKEN: ${{ secrets.CLOUDFLARE_TOKEN }} | |
| - name: Test MLflow Plugin Integration | |
| run: | | |
| # Wait for deployment to be ready | |
| sleep 300 | |
| # Test MLflow endpoint accessibility | |
| curl -f http://mlflow-test-azure.example.com/mlflow/health || echo "MLflow endpoint test failed" | |
| - name: Cleanup Nebari deployment | |
| if: always() | |
| run: | | |
| nebari destroy -c nebari-config.yaml --auto-approve |