testing initiating root dir #74
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| # Train model, evaluate and test champion model, build containerized model, and deploy model | |
| name: Data Prep | |
| on: | |
| push: | |
| branches: ["workflows"] | |
| workflow_dispatch: | |
| # schedule: | |
| # - cron: '00 4 * * *' # Runs at 4:00 AM UTC every day | |
| jobs: | |
| deploy-azure-resources: | |
| runs-on: ubuntu-latest | |
| steps: | |
| # Checks-out repository under $GITHUB_WORKSPACE, so the job can access it | |
| # Use cache action to cache the virtual environment (https://stackoverflow.com/a/62639424) | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| - name: Login to Azure | |
| uses: azure/#@v2 | |
| with: | |
| creds: ${{ secrets.AZURE_CREDENTIALS }} | |
| # Deploys ARM template to create Azure resources for training | |
| - name: Deploy ARM Template | |
| id: deploy-arm | |
| run: | | |
| az deployment group create --resource-group ${{ vars.RESOURCE_GROUP_NAME }} --template-file ./infrastructure/azure_train_resource.json --name TrainDeployment | |
| KEY_VAULT_NAME=$(az deployment group show --resource-group ${{ vars.RESOURCE_GROUP_NAME }} --name TrainDeployment --query 'properties.outputs.keyVaultName.value' -o tsv) | |
| echo "KEY_VAULT_NAME=$KEY_VAULT_NAME" >> $GITHUB_ENV | |
| echo "key_vault_name=$KEY_VAULT_NAME" >> $GITHUB_ENV | |
| env: | |
| GITHUB_OUTPUT: ${{ github.output }} | |
| - name: Check and Update AML Environment if Necessary | |
| run: | | |
| echo "Setting up Azure credentials..." | |
| AZURE_CREDENTIALS=$(echo '${{ secrets.AZURE_CREDENTIALS }}') | |
| CLIENT_ID=$(echo $AZURE_CREDENTIALS | jq -r '.clientId') | |
| CLIENT_SECRET=$(echo $AZURE_CREDENTIALS | jq -r '.clientSecret') | |
| TENANT_ID=$(echo $AZURE_CREDENTIALS | jq -r '.tenantId') | |
| echo "Upgrading Azure CLI..." | |
| az upgrade --yes --allow-preview false | |
| echo "Adding/upgrading Azure Machine Learning CLI extension..." | |
| az extension add --name ml --upgrade --yes --allow-preview false | |
| echo "Logging in to Azure..." | |
| az login --service-principal -u $CLIENT_ID -p $CLIENT_SECRET --tenant $TENANT_ID | |
| echo "Creating/updating Azure Machine Learning environment from YAML file..." | |
| az ml environment create --file aml-train-env.yml --resource-group ${{ vars.RESOURCE_GROUP_NAME }} --workspace-name ${{ vars.AML_WORKSPACE_NAME }} | |
| - name: Create or update Azure ML Environment | |
| run: | | |
| echo "Setting up Azure credentials..." | |
| AZURE_CREDENTIALS=$(echo '${{ secrets.AZURE_CREDENTIALS }}') | |
| CLIENT_ID=$(echo $AZURE_CREDENTIALS | jq -r '.clientId') | |
| CLIENT_SECRET=$(echo $AZURE_CREDENTIALS | jq -r '.clientSecret') | |
| TENANT_ID=$(echo $AZURE_CREDENTIALS | jq -r '.tenantId') | |
| echo "Upgrading Azure CLI..." | |
| az upgrade --yes --allow-preview false | |
| echo "Adding/upgrading Azure Machine Learning CLI extension..." | |
| az extension add --name ml --upgrade --yes --allow-preview false | |
| echo "Logging in to Azure..." | |
| az login --service-principal -u $CLIENT_ID -p $CLIENT_SECRET --tenant $TENANT_ID | |
| echo "Creating/updating Azure Machine Learning environment from YAML file..." | |
| az ml environment create --file aml-train-env.yml --resource-group ${{ vars.RESOURCE_GROUP_NAME }} --workspace-name ${{ vars.AML_WORKSPACE_NAME }} | |
| # data-prep: | |
| # runs-on: ubuntu-latest | |
| # needs: deploy-azure-resources | |
| # steps: | |
| # - name: Checkout code | |
| # uses: actions/checkout@v4 | |
| # - name: Set up Python 3.10.* | |
| # uses: actions/setup-python@v4 | |
| # with: | |
| # python-version: 3.10.* | |
| # - name: Get pip cache dir | |
| # id: pip-cache | |
| # run: echo "PIP_CACHE_DIR=$(pip cache dir)" >> $GITHUB_ENV | |
| # # Use cache action to cache the virtual environment | |
| # - name: Cache pip dependencies | |
| # uses: actions/cache@v3 | |
| # with: | |
| # path: ${{ env.PIP_CACHE_DIR }} | |
| # key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }} | |
| # restore-keys: | | |
| # ${{ runner.os }}-pip- | |
| # - name: Install dependencies | |
| # run: | | |
| # make install | |
| # - name: Add project path to sys.path | |
| # run: | | |
| # echo "PYTHONPATH=${{github.workspace}}" >> $GITHUB_ENV | |
| # - name: Prepare data | |
| # run: | | |
| # make prep_data | |
| # - name: Setup Feast | |
| # run: | | |
| # make setup_feast | |
| # - name: Split data | |
| # run: | | |
| # make split_data | |
| train: | |
| runs-on: ubuntu-latest | |
| needs: deploy-azure-resources | |
| steps: | |
| # Checks-out repository under $GITHUB_WORKSPACE, so the job can access it | |
| # Use cache action to cache the virtual environment (https://stackoverflow.com/a/62639424) | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| - name: Set up Python 3.10.* | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: 3.10.* | |
| - name: Get pip cache dir | |
| id: pip-cache | |
| run: echo "PIP_CACHE_DIR=$(pip cache dir)" >> $GITHUB_ENV | |
| # Use cache action to cache the virtual environment | |
| - name: Cache pip dependencies | |
| uses: actions/cache@v3 | |
| with: | |
| path: ${{ env.PIP_CACHE_DIR }} | |
| key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }} | |
| restore-keys: | | |
| ${{ runner.os }}-pip- | |
| - name: Install dependencies | |
| run: | | |
| make install | |
| - name: Add project path to sys.path | |
| run: | | |
| echo "PYTHONPATH=${{ github.workspace }}" >> $GITHUB_ENV | |
| - name: Login to Azure | |
| uses: azure/#@v2 | |
| with: | |
| creds: ${{ secrets.AZURE_CREDENTIALS }} | |
| - name: Submit train.py to Azure Compute Cluster | |
| run: | | |
| echo "Upgrading Azure CLI..." | |
| az upgrade --yes --allow-preview false | |
| echo "Adding/upgrading Azure Machine Learning CLI extension..." | |
| az extension add --name ml --upgrade --yes --allow-preview false | |
| echo "Submitting training script to Azure ML Compute..." | |
| az ml job create --file ./src/training/train.yml --resource-group ${{ vars.RESOURCE_GROUP_NAME }} --workspace-name ${{ vars.AML_WORKSPACE_NAME }} --set environment_variables.COMET_API_KEY=${{ secrets.COMET_API_KEY }} |